diff --git a/README.md b/README.md
index fb0ce4d3f..8b392a5b0 100644
--- a/README.md
+++ b/README.md
@@ -1,63 +1,63 @@
-# ![ml5](https://user-images.githubusercontent.com/10605821/41332516-2ee26714-6eac-11e8-83e4-a40b8761e764.png)
-
-[![BrowserStack Status](https://www.browserstack.com/automate/badge.svg?badge_key=QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)](https://www.browserstack.com/automate/public-build/QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)[![Version](https://img.shields.io/npm/v/ml5.svg?style=flat-square)](https://www.npmjs.com/package/ml5)
-[![Twitter Follow](https://img.shields.io/twitter/follow/espadrine.svg?style=social&label=Follow)](https://twitter.com/ml5js)
-
-
-
-**_This project is currently in development._**
-
-## Friendly machine learning for the web!
-
-ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of [TensorFlow.js](https://js.tensorflow.org/) with no other external dependencies.
-
-The library is supported by code examples, tutorials, and sample data sets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage.
-
-ml5.js is heavily inspired by [Processing](https://processing.org/) and [p5.js](https://p5js.org/).
-
-## Usage
-
-There are several ways you can use the ml5.js library:
-
-* You can use the latest online version by adding it to the head section of your HTML document:
-
-```javascript
-<script src="https://unpkg.com/ml5@latest/dist/ml5.min.js" type="text/javascript"></script>
-```
-
-* Or you can use an specific version of the library:
-**v0.2.1**
-```javascript
-<script src="https://unpkg.com/ml5@0.2.1/dist/ml5.min.js" type="text/javascript"></script>
-```
-
-**v0.1.3**
-```javascript
-<script src="https://unpkg.com/ml5@0.1.3/dist/ml5.min.js" type="text/javascript"></script>
-```
-
-* Or you can download the [minified](https://raw.githubusercontent.com/ml5js/ml5-library/master/dist/ml5.min.js) and include the file:
-
-```javascript
-<script src="ml5.min.js" type="text/javascript"></script>
-```
-
-## Resources
-
-- [Getting Started](https://ml5js.org/docs/getting-started)
-- [API Reference](https://ml5js.org/docs/ImageClassifier)
-- [Examples](https://ml5js.org/docs/quick-start)
-- [Learn](https://ml5js.org/docs/glossary-machine-learning)
-- [Experiments](https://ml5js.org/en/experiments)
-
-## Standalone Examples
-
-You can find a collection of standalone examples in this repository: [github.com/ml5js/ml5-examples](https://github.com/ml5js/ml5-examples)
-
-These examples are meant to serve as an introduction to the library and machine learning concepts.
-
-## Contributing
-
-See [CONTRIBUTING](CONTRIBUTING.md)
-
-Thanks [BrowserStack](https://www.browserstack.com/) for providing testing support.
+# ![ml5](https://user-images.githubusercontent.com/10605821/41332516-2ee26714-6eac-11e8-83e4-a40b8761e764.png)
+
+[![BrowserStack Status](https://www.browserstack.com/automate/badge.svg?badge_key=QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)](https://www.browserstack.com/automate/public-build/QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)[![Version](https://img.shields.io/npm/v/ml5.svg?style=flat-square)](https://www.npmjs.com/package/ml5)
+[![Twitter Follow](https://img.shields.io/twitter/follow/espadrine.svg?style=social&label=Follow)](https://twitter.com/ml5js)
+
+
+
+**_This project is currently in development._**
+
+## Friendly machine learning for the web!
+
+ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of [TensorFlow.js](https://js.tensorflow.org/) with no other external dependencies.
+
+The library is supported by code examples, tutorials, and sample data sets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage.
+
+ml5.js is heavily inspired by [Processing](https://processing.org/) and [p5.js](https://p5js.org/).
+
+## Usage
+
+There are several ways you can use the ml5.js library:
+
+* You can use the latest online version by adding it to the head section of your HTML document:
+
+```javascript
+<script src="https://unpkg.com/ml5@latest/dist/ml5.min.js" type="text/javascript"></script>
+```
+
+* Or you can use an specific version of the library:
+**v0.2.1**
+```javascript
+<script src="https://unpkg.com/ml5@0.2.1/dist/ml5.min.js" type="text/javascript"></script>
+```
+
+**v0.1.3**
+```javascript
+<script src="https://unpkg.com/ml5@0.1.3/dist/ml5.min.js" type="text/javascript"></script>
+```
+
+* Or you can download the [minified](https://raw.githubusercontent.com/ml5js/ml5-library/master/dist/ml5.min.js) and include the file:
+
+```javascript
+<script src="ml5.min.js" type="text/javascript"></script>
+```
+
+## Resources
+
+- [Getting Started](https://ml5js.org/docs/getting-started)
+- [API Reference](https://ml5js.org/docs/ImageClassifier)
+- [Examples](https://ml5js.org/docs/quick-start)
+- [Learn](https://ml5js.org/docs/glossary-machine-learning)
+- [Experiments](https://ml5js.org/en/experiments)
+
+## Standalone Examples
+
+You can find a collection of standalone examples in this repository: [github.com/ml5js/ml5-examples](https://github.com/ml5js/ml5-examples)
+
+These examples are meant to serve as an introduction to the library and machine learning concepts.
+
+## Contributing
+
+See [CONTRIBUTING](CONTRIBUTING.md)
+
+Thanks [BrowserStack](https://www.browserstack.com/) for providing testing support.
diff --git a/dist/ml5.min.js b/dist/ml5.min.js
index a9e042919..529a770bf 100644
--- a/dist/ml5.min.js
+++ b/dist/ml5.min.js
@@ -1,4 +1,4 @@
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  * Copyright 2018 Google LLC. All Rights Reserved.
@@ -15,7 +15,7 @@
  * limitations under the License.
  * =============================================================================
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this.throwIfDisposed(),te.pool(this,e,t,n,r,a)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),ae.variable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),te.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),te.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),te.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),te.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,n,r,a){return void 0===r&&(r=0),void 0===a&&(a=0),this.throwIfDisposed(),te.stridedSlice(this,e,t,n,r,a)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),te.depthToSpace(this,e,t)},e.prototype.fft=function(){return this.throwIfDisposed(),te.spectral.fft(this)},e.prototype.ifft=function(){return this.throwIfDisposed(),te.spectral.ifft(this)},e}();Object.defineProperty(re,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.shape&&null!=e.dtype}});var ae=function(e){function t(t,n,r){void 0===n&&(n=!0);var a=e.call(this,t.shape,t.dtype,null,t.dataId)||this;a.trainable=n,a.name=r,null==a.name&&(a.name=ee().nextVariableId().toString());try{ee().registerVariable(a)}catch(e){throw ee().disposeTensor(a),e}return a}return s(t,e),t.variable=function(e,n,r,a){return void 0===n&&(n=!0),null!=a&&a!==e.dtype&&(e=e.asType(a)),new t(e,n,r)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and previous value ("+this.dtype+") must match");if(!N(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and previous value ("+this.shape+") must match");ee().disposeTensor(this),this.dataId=e.dataId,ee().registerTensor(this)},t}(re);Object.defineProperty(ae,Symbol.hasInstance,{value:function(e){return e instanceof 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implemented")},e.prototype.expm1=function(e){throw new Error("Not yet implemented")},e.prototype.log=function(e){throw new Error("Not yet implemented")},e.prototype.log1p=function(e){throw new Error("Not yet implemented")},e.prototype.sqrt=function(e){throw new Error("Not yet implemented")},e.prototype.rsqrt=function(e){throw new Error("Not yet implemented")},e.prototype.square=function(e){throw new Error("Not yet implemented")},e.prototype.reciprocal=function(e){throw new Error("Not yet implemented")},e.prototype.relu=function(e){throw new Error("Not yet implemented")},e.prototype.elu=function(e){throw new Error("Not yet implemented")},e.prototype.eluDer=function(e,t){throw new Error("Not yet implemented")},e.prototype.selu=function(e){throw new Error("Not yet implemented")},e.prototype.int=function(e){throw new Error("Not yet implemented")},e.prototype.clip=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.abs=function(e){throw new Error("Not yet implemented")},e.prototype.complexAbs=function(e){throw new Error("Not yet implemented")},e.prototype.sigmoid=function(e){throw new Error("Not yet implemented")},e.prototype.softplus=function(e){throw new Error("Not yet implemented")},e.prototype.sin=function(e){throw new Error("Not yet implemented")},e.prototype.cos=function(e){throw new Error("Not yet implemented")},e.prototype.tan=function(e){throw new Error("Not yet implemented")},e.prototype.asin=function(e){throw new Error("Not yet implemented")},e.prototype.acos=function(e){throw new Error("Not yet implemented")},e.prototype.atan=function(e){throw new Error("Not yet implemented")},e.prototype.atan2=function(e,t){throw new Error("Not yet implemented")},e.prototype.sinh=function(e){throw new Error("Not yet implemented")},e.prototype.cosh=function(e){throw new Error("Not yet implemented")},e.prototype.tanh=function(e){throw new Error("Not yet implemented")},e.prototype.asinh=function(e){throw new Error("Not yet implemented")},e.prototype.acosh=function(e){throw new Error("Not yet implemented")},e.prototype.atanh=function(e){throw new Error("Not yet implemented")},e.prototype.erf=function(e){throw new Error("Not yet implemented")},e.prototype.step=function(e,t){throw new Error("Not yet implemented")},e.prototype.conv2d=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.conv2dDerInput=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.conv2dDerFilter=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.depthwiseConv2D=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.depthwiseConv2DDerInput=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.maxPool=function(e,t){throw new Error("Not yet implemented")},e.prototype.maxPoolBackprop=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.avgPool=function(e,t){throw new Error("Not yet implemented")},e.prototype.avgPoolBackprop=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.reshape=function(e,t){throw new Error("Not yet implemented")},e.prototype.cast=function(e,t){throw new Error("Not yet implemented")},e.prototype.tile=function(e,t){throw new Error("Not yet implemented")},e.prototype.pad=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.transpose=function(e,t){throw new Error("Not yet implemented")},e.prototype.gather=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.gatherND=function(e,t){throw new Error("Not yet implemented")},e.prototype.scatterND=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.batchToSpaceND=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.spaceToBatchND=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.resizeBilinear=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.resizeBilinearBackprop=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.resizeNearestNeighbor=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.batchNormalization=function(e,t,n,r,a,i){throw new Error("Not yet implemented")},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){throw new Error("Not yet implemented")},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){throw new Error("Not yet implemented")},e.prototype.multinomial=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.oneHot=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.cumsum=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.nonMaxSuppression=function(e,t,n,r,a){throw new Error("Not yet implemented")},e.prototype.fft=function(e){throw new Error("Not yet implemented")},e.prototype.ifft=function(e){throw new Error("Not yet implemented")},e.prototype.complex=function(e,t){throw new Error("Not yet implemented")},e.prototype.real=function(e){throw new Error("Not yet implemented")},e.prototype.imag=function(e){throw new Error("Not yet implemented")},e.prototype.cropAndResize=function(e,t,n,r,a,i){throw new Error("Not yet implemented")},e.prototype.depthToSpace=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.split=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.sparseToDense=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.setDataMover=function(e){throw new Error("Not yet implemented")},e.prototype.dispose=function(){throw new Error("Not yet implemented")},e}();function Dt(e,t,n){if("complex64"===t){if("complex64"===e.dtype)return e.clone();var r=vt(e.shape),a=e.toFloat(),i=n.complex(a,r);return r.dispose(),a.dispose(),i}if(!D(e.dtype,t))return re.make(e.shape,{dataId:e.dataId},t);if("complex64"===e.dtype){var o=n.real(e);return i=o.cast(t),o.dispose(),i}if("int32"===t)return n.int(e);if("bool"===t){var s=ct(0,e.dtype);return i=n.notEqual(e,s),s.dispose(),i}throw new Error("Error in Cast: unknown dtype argument ("+t+")")}function jt(e,t){return re.make(t,{dataId:e.dataId},e.dtype)}function Lt(e,t){if(e.length!==t.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+e.length+", imag: "+t.length+".");for(var n=new Float32Array(2*e.length),r=0;r<n.length;r+=2)n[r]=e[r/2],n[r+1]=t[r/2];return n}function Bt(e,t){return{real:e[2*t],imag:e[2*t+1]}}function zt(e,t,n,r){e[2*r]=t,e[2*r+1]=n}function Ft(e,t,n){var r=(n?2:-2)*Math.PI*(e/t);return{real:Math.cos(r),imag:Math.sin(r)}}function Vt(e,t,n,r,a){for(var i=Array.from(t).map(function(e,t){return{score:e,boxIndex:t}}).filter(function(e){return e.score>a}).sort(function(e,t){return t.score-e.score}),o=[],s=0;s<i.length;s++){var u=i[s],l=u.score,c=u.boxIndex;if(l<a)break;for(var f=!1,p=o.length-1;p>=0;--p)if(Ut(e,c,o[p])>=r){f=!0;break}if(!f&&(o.push(c),o.length>=n))break}return ft(o,"int32")}function Ut(e,t,n){var r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(a[0],a[2]),c=Math.min(a[1],a[3]),f=Math.max(a[0],a[2]),p=Math.max(a[1],a[3]),h=(s-i)*(u-o),d=(f-l)*(p-c);if(h<=0||d<=0)return 0;var m=Math.max(i,l),g=Math.max(o,c),y=Math.min(s,f),v=Math.min(u,p),b=Math.max(y-m,0)*Math.max(v-g,0);return b/(h+d-b)}function Wt(e,t,n){var r=Array(e.rank).fill(0),a=e.shape.slice();return t.map(function(t){a[n]=t;var i=e.slice(r,a);return r[n]+=t,i})}function qt(e,t,n,r,a){for(var i=t[t.length-1],o=[e.length/i,i],s=o[0],u=o[1],l=T(n,s*r),c=T("int32",s*r),f=0;f<s;f++){for(var p=f*u,h=e.subarray(p,p+u),d=[],m=0;m<h.length;m++)d.push({value:h[m],index:m});d.sort(function(e,t){return t.value-e.value});var g=f*r,y=l.subarray(g,g+r),v=c.subarray(g,g+r);for(m=0;m<r;m++)y[m]=d[m].value,v[m]=d[m].index}var b=t.slice();return b[b.length-1]=r,[lt(l,b,n),lt(c,b,"int32")]}function $t(e,t){for(var n=e.length,r=[],a=0;a<n;a++){var i=n-1-a,o=e[i]||1;(t[t.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function Gt(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],i=t.length-r-1,o=t[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function Ht(e,t){for(var n=[],r=Math.max(e.length,t.length),a=0;a<r;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");n.unshift(i)}}return n}var Kt=function(e,t,n,r,a,i){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=["x","mean","variance"],Ht(e,t),Ht(e,n);var o="0.0";null!=r&&(Ht(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(Ht(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},Xt=function(e,t,n,r,a,i){this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.variableNames=["x","mean","variance"],Ht(e,t),Ht(e,n);var o=Yt("mean",t.length),s=Yt("variance",n.length),u="vec4 offset = vec4(0.0)";null!=r&&(Ht(e,r),this.variableNames.push("offset"),u=Yt("offset",r.length));var l="vec4 scale = vec4(1.0)";null!=a&&(Ht(e,a),this.variableNames.push("scale"),l=Yt("scale",a.length)),this.outputShape=e,this.userCode="\n      void main() {\n        ivec4 rc = getOutputCoords();\n\n        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bimag));\n      }\n    "},Zt="return a + b;",Qt="return a - b;",en=function(){function e(e,t,n){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.outputShape=Ht(t,n),this.userCode="\n      uniform float NAN;\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,"NAN"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}();function tn(e,t,n){void 0===n&&(n="index");var r=F(t);return r.map(function(t,a){return"int "+e[a]+" = "+n+" / "+t+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * "+t:"index -= "+e[a]+" * "+t)+";"}).join("")}function nn(e){return 1===e.length?""+e[0]:"vec"+e.length+"("+e.join(",")+")"}function rn(e,t,n,r,a){var i=e.map(function(e){var t=E(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?"uniform float "+e.name+(t>1?"["+t+"]":"")+";":"uniform sampler2D "+e.name+";"});i=i.join("\n");var o,s,u=e.map(function(e){return function(e,t,n){var r=function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1)+"Flat",r=E(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?"float "+n+"(int index) {return "+t+";}":"\n      float "+n+"(int index) {\n        for (int i = 0; i < "+r+"; i++) {\n          if (i == index) {\n            return "+t+"[i];\n          }\n        }\n      }\n    ";var a=e.shapeInfo.texShape,i=a[0],o=a[1];return 1===o&&1===i?"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR);\n      }\n    ":1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / "+i+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index) + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = UVfrom1D("+i+", "+o+", index);\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);return e.shapeInfo.isPacked?r+=function e(t){var n=t.shapeInfo.logicalShape;switch(n.length){case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+a[0]+", "+a[1]+", index);\n      return texture2D("+t+", uv);\n    }\n  "}(t);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=a[0],o=a[1];if(null!=a&&N(t,a))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n\n        return texture2D("+n+", uv);\n      }\n    ";var s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(t[1]/2)+", "+s[0]+", "+s[1]+", row, col);\n      return texture2D("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===n[0])return"\n        "+e(fn(t,n.slice(1)))+"\n        vec4 "+a+"(int b, int row, int col) {\n          return "+a+"("+pn(["b","row","col"],[1,2])+");\n        }\n      ";var s=o[0],u=o[1],l=Math.ceil(n[2]/2);return"\n    vec4 "+a+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+s+", "+u+", "+l*Math.ceil(n[1]/2)+", "+l+", b, row, col);\n      return texture2D("+r+", uv);\n    }\n  "}(t);case 4:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],o=i[0],s=i[1],u=Math.ceil(t[3]/2),l=u*Math.ceil(t[2]/2);return"\n    vec4 "+r+"(int b2, int b, int row, int col) {\n      vec2 uv = packedUVfrom4D(\n        "+o+", "+s+", "+l*t[1]+",\n        "+l+", "+u+", b2, b, row, col);\n      return texture2D("+n+", uv);\n    }\n  "}(t);default:throw new Error("Packed "+n.length+"-D input sampling is not yet supported")}}(e):r+=function e(t){var n=t.shapeInfo.logicalShape;switch(n.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?"float "+n+"() {return "+t+";}":"\n    float "+n+"() {\n      return sampleTexture("+t+", halfCR);\n    }\n  "}(t);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return"\n    float "+n+"(int index) {\n      return "+n+"Flat(index);\n    }\n  "}(t);case 2:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape;if(null!=i&&N(n,i)){var o=i[0];return"\n    float "+a+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var s=A(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n      "+e(fn(t,c))+"\n      float "+a+"(int row, int col) {\n        return "+a+"("+pn(["row","col"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col) {\n        float index = dot(vec2(row, col), vec2("+n[1]+", 1));\n        return "+a+"Flat(round(index));\n      }\n    ";var f=i[0],p=i[1];return 1===p?"\n    float "+a+"(int row, int col) {\n      float index = dot(vec2(row, col), vec2("+n[1]+", 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===f?"\n    float "+a+"(int row, int col) {\n      float index = dot(vec2(row, col), vec2("+n[1]+", 1));\n      vec2 uv = vec2((index + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+a+"(int row, int col) {\n    vec2 uv = UVfrom2D("+f+", "+p+", "+n[1]+", row, col);\n    return sampleTexture("+r+", uv);\n  }\n"}(t);case 3:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=A(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n        "+e(fn(t,c))+"\n        float "+a+"(int row, int col, int depth) {\n          return "+a+"("+pn(["row","col","depth"],l)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth) {\n        float index = dot(vec3(row, col, depth),\n                          vec3("+i+", "+o+", 1));\n        return "+a+"Flat(round(index));\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===i?"\n        float "+a+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+o+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+h+".0, "+p+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ":h===o?"\n    float "+a+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+n[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n      float "+a+"(int row, int col, int depth) {\n        vec2 uv = UVfrom3D(\n            "+p+", "+h+", "+i+", "+o+", row, col, depth);\n        return sampleTexture("+r+", uv);\n      }\n  "}(t);case 4:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=A(n),l=u.newShape,c=u.keptDims;if(l.length<n.length)return"\n      "+e(fn(t,l))+"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        return "+a+"("+pn(["row","col","depth","depth2"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float index = dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+o+", "+i+", 1));\n        return "+a+"Flat(round(index));\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===s?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2), vec3("+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":h===i?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+n[1]*n[2]+", "+n[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      vec2 uv = UVfrom4D("+p+", "+h+", "+s+", "+o+",\n          "+i+", row, col, depth, depth2);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 5:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[4],o=n[3]*i,s=n[2]*o,u=n[1]*s,l=A(n),c=l.newShape,f=l.keptDims;if(c.length<n.length)return"\n      "+e(fn(t,c))+"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+a+"("+pn(["row","col","depth","depth2","depth3"],f)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+u+", "+s+", "+o+", "+i+")) +\n          depth3;\n        return "+a+"Flat(index);\n      }\n    ";var p=t.shapeInfo.texShape,h=p[0],d=p[1];return d===u?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(\n          vec4(col, depth, depth2, depth3),\n          vec4("+s+", "+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":d===i?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]+", "+n[2]*n[3]+",\n            "+n[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n      vec2 uv = UVfrom5D("+h+", "+d+", "+u+", "+s+",\n          "+o+", "+i+", row, col, depth, depth2, depth3);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 6:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[5],o=n[4]*i,s=n[3]*o,u=n[2]*s,l=n[1]*u,c=A(n),f=c.newShape,p=c.keptDims;if(f.length<n.length)return"\n      "+e(fn(t,f))+"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+a+"("+pn(["row","col","depth","depth2","depth3","depth4"],p)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+l+", "+u+", "+s+", "+o+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+i+", 1));\n        return "+a+"Flat(index);\n      }\n    ";var h=t.shapeInfo.texShape,d=h[0],m=h[1];return m===l?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(\n          vec4(col, depth, depth2, depth3),\n          vec4("+u+", "+s+", "+o+", "+i+")) + depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":m===i?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]*n[4]+",\n               "+n[2]*n[3]*n[4]+",\n               "+n[3]*n[4]+",\n               "+n[4]+")) + depth3;\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      vec2 uv = UVfrom6D("+d+", "+m+", "+l+", "+u+",\n          "+s+", "+o+", "+i+"\n          ,row, col, depth, depth2, depth3, depth4);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);default:throw new Error(n.length+"-D input sampling is not yet supported")}}(e),(n||N(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=function(e,t,n){var r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=$t(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||o.length>0),c=function(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}(o),f=e.shapeInfo.isUniform;if(l&&!c)return function(e,t,n,r){var a=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o="int";2===i?o="ivec2":3===i?o="ivec3":4===i&&(o="ivec4");var s=$t(e.shapeInfo.logicalShape,t.logicalShape),u=i-a;return"\n    float "+r+"() {\n      "+o+" coords = getOutputCoords();\n      "+(0===a?"":i<2&&s.length>=1?"coords = 0;":s.map(function(e){return"coords["+(e+u)+"] = 0;"}).join("\n"))+"\n      return get"+n+"("+(i<2&&a>0?"coords":e.shapeInfo.logicalShape.map(function(e,t){return"coords["+(t+u)+"]"}).join(", "))+");\n    }\n  "}(e,t,a,i);var p=E(e.shapeInfo.logicalShape),h="";l&&c&&(h="\n        int mainPart = index / "+p+";\n        index -= mainPart * "+p+";\n      ");var d=t.texShape;if(f)return 1===p?"float "+i+"() {return "+r+";}":"\n      float "+i+"() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                              vec2("+d[0]+", "+d[1]+"));\n        int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n        "+h+"\n        return get"+a+"Flat(index);\n      }\n    ";var m=e.shapeInfo.texShape;return N(m,d)?"\n      float "+i+"() {\n        return sampleTexture("+r+", resultUV);\n      }\n    ":"\n    float "+i+"() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+d[0]+", "+d[1]+"));\n      int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n      "+h+"\n      int texR = index / "+m[1]+";\n      int texC = index - texR * "+m[1]+";\n      vec2 uv = (vec2(texC, texR) + halfCR) /\n                 vec2("+m[1]+".0, "+m[0]+".0);\n\n      return sampleTexture("+r+", uv);\n    }\n  "}(e,t,n)),r}(e,t,r)}).join("\n"),l=t.texShape,c=un;return t.isPacked?(o=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===t[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return resTexRC.x * "+n[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(N(e,t))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(e[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  "}(e,t);case 4:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[3]/2),a=r*Math.ceil(e[2]/2),i=a*e[1];return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      int b2 = index / "+i+";\n      index -= b2 * "+i+";\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec4(b2, b, r, c);\n    }\n  "}(e,t);default:throw new Error(e.length+"-D packed output coordinate fetching is not yet supported")}}(t.logicalShape,l),s=sn):(o=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){return 1===t[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){return N(e,t)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ":1===e[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===e[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return function(e,t){var n=tn(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+n+"\n      return ivec3(r, c, d);\n    }\n  "}(e,t);case 4:return function(e,t){var n=tn(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=tn(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=tn(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}}(t.logicalShape,l),s=on),a&&(c+=ln),[c,an,s,i,o,u,n].join("\n")}var an="\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\n    return texture2D(textureSampler, uv).r;\n  }\n",on="\n  void setOutput(float val) {\n    gl_FragColor = vec4(val, 0, 0, 0);\n  }\n",sn="\n  void setOutput(vec4 val) {\n    gl_FragColor = val;\n  }\n",un="\n  precision highp float;\n  precision highp int;\n  varying vec2 resultUV;\n  const vec2 halfCR = vec2(0.5, 0.5);\n\n  struct ivec5\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n  };\n\n  struct ivec6\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n    int v;\n  };\n\n  bool isNaN(float val) {\n    return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;\n  }\n\n  bool hasNaN(vec4 values) {\n    vec4 v1 = values * values;\n    vec4 v2 = values * values;\n    return any(notEqual(v1, v2));\n  }\n\n  float getNaN(vec4 values) {\n    return dot(vec4(1), values);\n  }\n\n  int round(float value) {\n    return int(floor(value + 0.5));\n  }\n\n  int imod(int x, int y) {\n    return x - y * (x / y);\n  }\n\n  //Based on the work of Dave Hoskins\n  //https://www.shadertoy.com/view/4djSRW\n  #define HASHSCALE1 443.8975\n  float random(float seed){\n    vec2 p = resultUV * seed;\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n    p3 += dot(p3, p3.yzx + 19.19);\n    return fract((p3.x + p3.y) * p3.z);\n  }\n\n  \nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\n  int index = row * numC + col;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\n    int stride1, int row, int col, int depth) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int row, int col, int depth,\n    int depth2) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom4D(int texNumR, int texNumC, int texelsInBatch2,\n    int texelsInBatch, int texelsInLogicalRow, int b2, int b,\n    int row, int col) {\n  int index = b2 * texelsInBatch2 + b * texelsInBatch +\n    (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int row, int col, int depth,\n    int depth2, int depth3) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 +\n              depth * stride2 + depth2 * stride3 + depth3;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int stride4,\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\n    stride3 + depth3 * stride4 + depth4;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n",ln="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function 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e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:h(ve.get("WEBGL_VERSION")),1===ve.get("WEBGL_VERSION")?(this.textureFloatExtension=In(this.gl,"OES_texture_float"),this.colorBufferFloatExtension=this.gl.getExtension("WEBGL_color_buffer_float"),ve.get("WEBGL_RENDER_FLOAT32_ENABLED")||(this.textureHalfFloatExtension=In(this.gl,"OES_texture_half_float"),this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float"))):this.colorBufferFloatExtension=In(this.gl,"EXT_color_buffer_float"),this.vertexBuffer=rr(this.gl),this.indexBuffer=ar(this.gl),this.framebuffer=Fn(this.gl),this.textureConfig=ir(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;En(t,function(){return t.finish()}),En(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),En(t,function(){return t.deleteFramebuffer(e.framebuffer)}),En(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),En(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),En(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,Sn(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),sr(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),ur(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),lr(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),hr(this.gl,e,t)},e.prototype.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),fr(this.gl,e,t,this.textureConfig)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),cr(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(Hn(this.gl,this.framebuffer),this.outputTexture=null),En(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,n,r){this.throwIfDisposed();var a=Ln();return mr(this.gl,e,t,n,r,a,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,n,r,a){return this.throwIfDisposed(),gr(this.gl,e,t,n,r,a,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return br(r.gl,t,n,r.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return wr(r.gl,t,n,r.textureConfig)})},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t,n){return vr(this.gl,e,t,n,this.textureConfig)},e.prototype.maybeCreateBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=yr(this.gl,e,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,n,r=this;if(ve.get("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n,r,a,i){var o=this;return this.downloadMatrixDriver(e,function(){return xr(o.gl,t,n,r,a,i,o.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=Pn(t,e),r=nr(t),a=Tn(t);return En(t,function(){return t.attachShader(a,r)}),En(t,function(){return t.attachShader(a,n)}),Mn(t,a),this.autoDebugValidate&&Rn(t,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=pr(t,this.program,this.vertexBuffer)),a},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&En(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&Rn(this.gl,this.program),En(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?Wn(this.gl,e,t):qn(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),En(this.gl,function(){return n.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),$n(this.gl,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=xn(t,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},e.prototype.debugValidate=function(){null!=this.program&&Rn(this.gl,this.program),Kn(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),En(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),En(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=In(this.gl,2===ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},e.prototype.endQuery=function(){if(2!==ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return l(this,void 0,void 0,function(){var t=this;return c(this,function(n){switch(n.label){case 0:return[4,C(function(){return t.disposed||t.isQueryAvailable(e,ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(e,ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}return a=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise(function(n){t.addItemToPoll(function(){return e.isFencePassed()},function(){return n()})})},e.prototype.pollItems=function(){for(var e=function(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var a=t+n>>1;e[a]()?(r=a,t=a+1):n=a-1}return r}(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t)(0,this.itemsToPoll[t].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||C(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),Gn(this.gl,e,this.framebuffer),this.autoDebugValidate&&Kn(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Gn(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&Kn(this.gl)):Hn(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;Gn(r,e,this.framebuffer),this.autoDebugValidate&&Kn(r),this.outputTexture=e,En(r,function(){return r.viewport(0,0,t,n)}),En(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),En(this.gl,function(){return a.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},e}();function Nr(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach(function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!N(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!N(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var Sr=function(e,t,n,r,a){void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["matrixA","matrixB"],this.usesPackedTextures=!0,this.outputShape=n;var i=r?e[0]:e[1],o=Math.ceil(i/2),s=r?"i * 2, rc.x":"rc.x, i * 2",u=a?"rc.y, i * 2":"i * 2, rc.y",l=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],c=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];this.userCode="\n      const float sharedDimension = "+o+".0;\n\n      vec4 dot2x2ARowBCol(ivec2 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+o+"; i++) {\n          vec4 a = getMatrixA("+s+");\n          vec4 b = getMatrixB("+u+");\n\n          result += ("+l[0]+" * "+c[0]+") + ("+l[1]+" * "+c[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec2 rc = getOutputCoords();\n        setOutput(dot2x2ARowBCol(rc));\n      }\n    "},Or=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(t-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(t-1)+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}();function kr(e,t){return 1===t?[e]:function(e,t){return["x","y","z","w","u","v"].slice(0,t).map(function(t){return e+"."+t})}(e,t)}var Ir=function(e,t,n){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var r=e.filterWidth,a=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,s=e.dilationWidth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var p="avg"===t,h="0.0";if(p||(h="-1.0 / 0.0"),n)this.userCode="\n        const ivec2 strides = ivec2("+a+", "+i+");\n        const ivec2 pads = ivec2("+c+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+o+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+l+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var d=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(d="avgValue / count");var m=4*Math.floor(r/4),g=r%4,y="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+a+", "+i+");\n      const ivec2 pads = ivec2("+c+", "+f+");\n      const float initializationValue = "+h+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+h+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+o+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+y+"\n          }\n\n          int xC = xCCorner + "+m+";\n          if ("+(1===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+y+"\n          } else if ("+(2===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+y+"\n          } else if ("+(3===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+y+"\n          }\n        }\n        setOutput("+d+");\n      }\n    "}},Cr=function(e,t,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=cn(a.length),u=cn(i.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",f="";1===r?f="i":2===r&&(f="i, coords[1]");var p="getUpdates("+f+")",h=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+a+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+h+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+p+";\n              found = true;\n  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i=a||Math.random();this.random=Qr(i.toString())}return e.prototype.nextValue=function(){if(!isNaN(this.nextVal)){var e=this.nextVal;return this.nextVal=NaN,e}for(var t,n,r=!1;!r;){var a=void 0,i=void 0,o=void 0;do{o=(a=2*this.random()-1)*a+(i=2*this.random()-1)*i}while(o>=1||0===o);var s=Math.sqrt(-2*Math.log(o)/o);t=this.mean+this.stdDev*a*s,n=this.mean+this.stdDev*i*s,this.truncated&&!this.isValidTruncated(t)||(r=!0)}return this.truncated&&!this.isValidTruncated(n)||(this.nextVal=this.convertValue(n)),this.convertValue(t)},e.prototype.convertValue=function(e){return null==this.dtype||"float32"===this.dtype?e:Math.round(e)},e.prototype.isValidTruncated=function(e){return e<=this.upper&&e>=this.lower},e}();function ta(e,t){return l(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l,f,p,h,d,m,g,y,v,b,w,x,_;return c(this,function(c){switch(c.label){case 0:if(2!==(n=tt(e,"img","toPixels","int32")).rank&&3!==n.rank)throw new Error("toPixels only supports rank 2 or 3 tensors, got rank 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Please use float32 or int32 tensors.");if(l<0||f>255)throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but got range ["+l+" - "+f+"].")}return[4,n.data()];case 3:for(p=c.sent(),h="float32"===n.dtype?255:1,d=new Uint8ClampedArray(i*a*4),m=0;m<a*i;++m)g=void 0,y=void 0,v=void 0,b=void 0,1===o?(g=p[m]*h,y=p[m]*h,v=p[m]*h,b=255):3===o?(g=p[3*m]*h,y=p[3*m+1]*h,v=p[3*m+2]*h,b=255):4===o&&(g=p[4*m]*h,y=p[4*m+1]*h,v=p[4*m+2]*h,b=p[4*m+3]*h),d[0+(w=4*m)]=Math.round(g),d[w+1]=Math.round(y),d[w+2]=Math.round(v),d[w+3]=Math.round(b);return null!=t&&(t.width=i,t.height=a,x=t.getContext("2d"),_=new ImageData(d,i,a),x.putImageData(_,0,0)),n!==e&&n.dispose(),[2,d]}})})}function na(e,t,n){return void 0===t&&(t="float32"),new Q(e,t,n)}function ra(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}var aa=rt({batchToSpaceND_:function(e,t,n){var r=tt(e,"x","batchToSpaceND"),a=t.reduce(function(e,t){return e*t});return b(r.rank>=1+t.length,"input rank is "+r.rank+" but should be > than blockShape.length "+t.length),b(n.length===t.length,"crops.length is "+n.length+" but should be equal to blockShape.length  "+t.length),b(r.shape[0]%a==0,"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+t.join(" * ")+" === "+a),ve.engine.runKernel(function(e){return e.batchToSpaceND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.spaceToBatchND(t,n)}}})}}),ia=rt({cast_:function(e,t){var n=tt(e,"x","cast");return ve.engine.runKernel(function(e){return e.cast(n,t)},{$x:n},function(e){return{$x:function(){return e.clone()}}})}}),oa=rt({clone_:function(e){var t=tt(e,"x","clone");return ve.engine.runKernel(function(e){return re.make(t.shape,{dataId:t.dataId},t.dtype)},{$x:t},function(e){return{$x:function(){return e.toFloat()}}})}}),sa=rt({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a=tt(e,"x","cumsum"),i=We([t|=0],a.rank),o=a;null!=i&&(o=a.transpose(i));var s=$e(1,a.rank)[0],u=ve.engine.runKernel(function(e){return e.cumsum(o,s,n,r)},{permutedX:o},function(e){return{permutedX:function(){return e.cumsum(t,n,!r)}}});return null!=i&&(u=u.transpose(i)),u}}),ua=rt({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=tt(e,"x","depthToSpace"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];return b(a*t>=0,"Negative dimension size caused by overflow when multiplying\n      "+a+" and "+t+"  for depthToSpace with input shape\n      "+r.shape),b(i*t>=0,"Negative dimension size caused by overflow when multiplying\n      "+i+" and "+t+" for depthToSpace with input shape\n          "+r.shape),b(o%(t*t)==0,"Dimension size must be evenly divisible by "+t*t+" but is "+o+" for depthToSpace with input shape "+r.shape),ve.engine.runKernel(function(e){return e.depthToSpace(r,t,n)},{$x:r})}}),la=rt({expandDims_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","expandDims");b(t<=n.rank,"Axis must be <= rank of the tensor");var r=n.shape.slice();return t<0&&(b(-(n.rank+1)<=t,"Axis must be in the interval ["+-(n.rank+1)+", "+n.rank+"]"),t=n.rank+t+1),r.splice(t,0,1),_a(n,r)}}),ca=rt({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=na([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=a.toTensor().as2D(e,t);if(null==n)return s;if(1===n.length)return Oa(la(s,0),[n[0],1,1]);if(2===n.length)return Oa(la(la(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return Oa(la(la(la(s,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D batchShapes, but received "+n.length+"D.")}}),fa=rt({fromPixels_:function(e,t){if(void 0===t&&(t=3),t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");return ve.engine.fromPixels(e,t)}}),pa=rt({multinomial_:function(e,t,n,r){void 0===r&&(r=!1);var a=tt(e,"logits","multinomial"),i=a.size,o=a.rank;if(i<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+i+".");if(o>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+o);n=n||Math.random();var s=1===o?a.as2D(1,-1):a,u=ve.engine.runKernel(function(e){return e.multinomial(s,r,t,n)},{logits2D:s});return 1===o?u.as1D():u}}),ha=rt({oneHot_:function(e,t,n,r){void 0===n&&(n=1),void 0===r&&(r=0);var a=tt(e,"indices","oneHot","int32");if(b("int32"===a.dtype,"Indices must be of dtype `int32`"),t<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+t);return ve.engine.runKernel(function(e){return e.oneHot(a,t,n,r)},{$indices:a},function(e){return{$indices:function(){return Ct(a)}}})}}),da=rt({pad_:function(e,t,n){void 0===n&&(n=0);var r=tt(e,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var a=t.map(function(e){return e[0]});return ve.engine.runKernel(function(e){return e.pad(r,t,n)},{$x:r},function(e){return{$x:function(){return e.slice(a,r.shape)}}})}}),ma=rt({pad1d_:function(e,t,n){return void 0===n&&(n=0),b(2===t.length,"Invalid number of paddings. Must be length of 2."),da(e,[t],n)}}),ga=rt({pad2d_:function(e,t,n){return void 0===n&&(n=0),b(2===t.length&&2===t[0].length&&2===t[1].length,"Invalid number of paddings. Must be length of 2 each."),da(e,t,n)}}),ya=rt({pad3d_:function(e,t,n){return void 0===n&&(n=0),b(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,"Invalid number of paddings. Must be length of 2 each."),da(e,t,n)}}),va=rt({pad4d_:function(e,t,n){return void 0===n&&(n=0),b(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,"Invalid number of paddings. Must be length of 2 each."),da(e,t,n)}}),ba=rt({rand_:function(e,t,n){var r=E(e),a=null;if(null==n||"float32"===n)a=new Float32Array(r);else if("int32"===n)a=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);a=new Uint8Array(r)}for(var i=0;i<r;i++)a[i]=t();return re.make(e,{values:a},n)}}),wa=rt({randomNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new ea(t,n,r,!1,a),o=na(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),xa=rt({randomUniform_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=1),void 0===r&&(r="float32");for(var a=na(e,r),i=0;i<a.values.length;i++)a.values[i]=v(t,n);return a.toTensor()}}),_a=rt({reshape_:function(e,t){var n=tt(e,"x","reshape");return t=P(t,n.size),b(n.size===E(t),"new shape and old shape must have the same number of elements."),ve.engine.runKernel(function(e){return e.reshape(n,t)},{$x:n},function(e){return{$x:function(){return e.reshape(n.shape)}}})}}),Ea=rt({spaceToBatchND_:function(e,t,n){var r=tt(e,"x","spaceToBatchND");return b(r.rank>=1+t.length,"input rank "+r.rank+" should be > than [blockShape] "+t.length),b(n.length===t.length,"paddings.shape[0] "+n.length+" must be equal to [blockShape] "+t.length),b(r.shape.reduce(function(e,r,a){return a>0&&a<=t.length?e&&(r+n[a-1][0]+n[a-1][1])%t[a-1]==0:e},!0),"input spatial dimensions "+r.shape.slice(1)+" with paddings "+n.toString()+" must be divisible by blockShapes "+t.toString()),ve.engine.runKernel(function(e){return e.spaceToBatchND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.batchToSpaceND(t,n)}}})}}),Na=rt({squeeze_:function(e,t){var n=tt(e,"x","squeeze");return _a(n,A(n.shape,t).newShape)}}),Sa=rt({stack_:function(e,t){void 0===t&&(t=0);var n=nt(e,"tensors","stack");if(b(n.length>=1,"Pass at least one tensor to tf.stack"),1===n.length)return n[0].expandDims(t);var r=n[0].rank,a=n[0].shape,i=n[0].dtype;b(t<=r,"Axis must be <= rank of the tensor"),n.forEach(function(e){w(a,e.shape,"All tensors passed to stack must have matching shapes")}),n.forEach(function(e){b(i===e.dtype,"All tensors passed to stack must have matching dtypes")});var o=n.map(function(e){return e.expandDims(t)});return zr(o,t)}}),Oa=rt({tile_:function(e,t){var n=tt(e,"x","tile");return b(n.rank===t.length,"Error in transpose: rank of input "+n.rank+" must match length of reps "+t+"."),ve.engine.runKernel(function(e){return e.tile(n,t)},{$x:n},function(e){return{$x:function(){var r=Ct(n);if(1===n.rank)for(var a=0;a<t[0];++a)r=r.add(e.slice([a*n.shape[0]],[n.shape[0]]));else if(2===n.rank)for(a=0;a<t[0];++a)for(var i=0;i<t[1];++i)r=r.add(e.slice([a*n.shape[0],i*n.shape[1]],[n.shape[0],n.shape[1]]));else if(3===n.rank)for(a=0;a<t[0];++a)for(i=0;i<t[1];++i)for(var o=0;o<t[2];++o)r=r.add(e.slice([a*n.shape[0],i*n.shape[1],o*n.shape[2]],[n.shape[0],n.shape[1],n.shape[2]]));else{if(4!==n.rank)throw new Error("Gradient for tile operation is not implemented for rank-"+n.rank+" tensors yet.");for(a=0;a<t[0];++a)for(i=0;i<t[1];++i)for(o=0;o<t[2];++o)for(var s=0;s<t[3];++s)r=r.add(e.slice([a*n.shape[0],i*n.shape[1],o*n.shape[2],s*n.shape[3]],[n.shape[0],n.shape[1],n.shape[2],n.shape[3]]))}return r}}})}}),ka=rt({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new ea(t,n,r,!0,a),o=na(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),Ia=rt({unstack_:function(e,t){void 0===t&&(t=0);for(var n,r=tt(e,"x","unstack"),a=r.shape[t],i=Array(r.rank-1).fill(0),o=0,s=0;s<r.rank;s++)s!==t&&(i[o]=r.shape[s],o++);n=Array(a).fill(1);var u=Array(r.rank).fill(0),l=r.shape.slice();return n.map(function(e){l[t]=e;var n=r.slice(u,l);return u[t]+=e,n.reshape(i)})}}),Ca=function(e,t){return l(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l,f,p;return c(this,function(c){switch(c.label){case 0:return n=tt(e,"x","setdiff1d"),r=tt(t,"y","setdiff1d"),b(n.dtype===r.dtype,"x and y should have the same dtype, but got x ("+n.dtype+") and y ("+r.dtype+")."),b(1===n.rank,"x should be 1D tensor, but got x ("+n.shape+")."),b(1===r.rank,"y should be 1D tensor, but got y ("+r.shape+")."),[4,n.data()];case 1:return a=c.sent(),[4,r.data()];case 2:for(i=c.sent(),o=new Set(i),s=0,f=0;f<a.length;f++)o.has(a[f])||s++;for(u=new Q([s],n.dtype),l=new Q([s],"int32"),f=0,p=0;f<a.length;f++)o.has(a[f])||(u.values[p]=a[f],l.values[p]=f,p++);return[2,[u.toTensor(),l.toTensor()]]}})})};function Pa(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);var a=na(e,"int32"),i=na([n.length,e.length],"int32");for(r=0;r<n.length;r++){var o=a.indexToLoc(n[r]),s=r*e.length;i.values.set(o,s)}return i.toTensor()}var Aa=300,Ta=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ve.get("WEBGL_VERSION")<1)throw new Error("WebGL is not supported on this device");if(null==e){var n=h(ve.get("WEBGL_VERSION"));this.gpgpu=new Er(n),this.canvas=n.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;ve.get("WEBGL_PAGING_ENABLED")&&(this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*Aa),this.textureManager=new Ar(this.gpgpu)}return e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error("Data buffer is already registered");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,complexTensors:null,texShape:null,usage:dn.RENDER,isPacked:!1})},e.prototype.setDataMover=function(e){this.texData=new Mt(e)},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error("pixels passed to tf.fromPixels() can not be null");var n=[e.height,e.width],r=[e.height,e.width,t];if(!(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData))throw new Error("pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was "+e.constructor.name);if(e instanceof HTMLVideoElement){if(null==this.fromPixels2DContext){if(!ve.get("IS_BROWSER"))throw new Error("Can't read pixels from HTMLImageElement outside the browser.");if("complete"!==document.readyState)throw new Error("The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixels2DContext=document.createElement("canvas").getContext("2d")}this.fromPixels2DContext.canvas.width=e.width,this.fromPixels2DContext.canvas.height=e.height,this.fromPixels2DContext.drawImage(e,0,0,e.width,e.height),e=this.fromPixels2DContext.canvas}var a=this.makeTensorHandle(n,"int32");this.texData.get(a.dataId).usage=dn.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId),e);var i=new function(e){this.variableNames=["A"];var t=e[0],n=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+n+".0, "+t+".0);\n\n        vec4 values = texture2D(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "}(r),o=this.compileAndRun(i,[a]);return this.disposeData(a.dataId),o},e.prototype.makeTensorHandle=function(e,t){var n={};return this.register(n,e,t),{dataId:n,shape:e,dtype:t}},e.prototype.write=function(e,t){if(null==t)throw new Error("MathBackendWebGL.write(): values can not be null");var n=this.texData.get(e),r=n.texture,a=n.texShape,i=n.usage,o=n.dtype,s=n.isPacked;if("complex64"===o)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");null!=r&&(this.releaseTexture(e,r,a,i,s),n.texture=null,n.texShape=null),n.usage=dn.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensors;if(null!=n)return this.convertAndCacheOnCPU(e);var i,o,s=null!=this.activeTimers;return s&&(i=performance.now()),o="complex64"===r?Lt(a.real.dataSync(),a.imag.dataSync()):this.getValuesFromTexture(e),s&&(this.downloadWaitMs+=performance.now()-i),this.convertAndCacheOnCPU(e,o)},e.prototype.read=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o,s,u,l;return c(this,function(c){switch(c.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(n=this.texData.get(e),r=n.texture,a=n.values,i=n.texShape,null!=a)return[2,this.convertAndCacheOnCPU(e)];if(this.pendingRead.set(e,[]),!ve.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===ve.get("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return o=this.gpgpu.maybeCreateBufferFromTexture(r,i[0],i[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return c.sent(),s=o instanceof WebGLTexture?this.getValuesFromTexture(e):this.gpgpu.downloadFloat32MatrixFromBuffer(o,i[0],i[1]),u=this.convertAndCacheOnCPU(e,s),l=this.pendingRead.get(e),this.pendingRead.delete(e),l.forEach(function(e){return e(u)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,u]}})})},e.prototype.getValuesFromTexture=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.texture,i=t.texShape;if(ve.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")){if(this.texData.get(e).isPacked){var o=E(n.slice(0,n.length-2)),s=n.length>1?n[n.length-2]:1,u=n[n.length-1];return this.gpgpu.downloadMatrixFromPackedTexture(a,o,s,u,i[0],i[1])}return this.gpgpu.downloadFloat32MatrixFromOutputTexture(a,i[0],i[1])}var l=this.makeTensorHandle(n,"float32");l.size=E(n),this.texData.get(l.dataId).usage=dn.DOWNLOAD;var c=new function(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      const float FLOAT_MAX = 1.70141184e38;\n      const float FLOAT_MIN = 1.17549435e-38;\n\n      lowp vec4 encode_float(highp float v) {\n        if (isNaN(v)) {\n          return vec4(255, 255, 255, 255);\n        }\n\n        highp float av = abs(v);\n\n        if(av < FLOAT_MIN) {\n          return vec4(0.0, 0.0, 0.0, 0.0);\n        } else if(v > FLOAT_MAX) {\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n        } else if(v < -FLOAT_MAX) {\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n        }\n\n        highp vec4 c = vec4(0,0,0,0);\n\n        highp float e = floor(log2(av));\n        highp float m = exp2(fract(log2(av))) - 1.0;\n\n        c[2] = floor(128.0 * m);\n        m -= c[2] / 128.0;\n        c[1] = floor(32768.0 * m);\n        m -= c[1] / 32768.0;\n        c[0] = floor(8388608.0 * m);\n\n        highp float ebias = e + 127.0;\n        c[3] = floor(ebias / 2.0);\n        ebias -= c[3] * 2.0;\n        c[2] += floor(ebias) * 128.0;\n\n        c[3] += 128.0 * step(0.0, -v);\n\n        return c / 255.0;\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        gl_FragColor = encode_float(x);\n      }\n    "}(n);this.compileAndRun(c,[{shape:n,dtype:r,dataId:e}],l,null,!1);var f=this.texData.get(l.dataId),p=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture,f.texShape[0],f.texShape[1]);return this.disposeData(l.dataId),p},e.prototype.time=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o,s;return c(this,function(u){switch(u.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),a=_(this.activeTimers.map(function(e){return e.query})).filter(function(e){return null!=e}),i=_(this.activeTimers.map(function(e){return e.name})).filter(function(e){return null!=e}),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(a)];case 1:return o=u.sent(),s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:y(o),getExtraProfileInfo:function(){return o.map(function(e,t){return{name:i[t],ms:e}}).map(function(e){return e.name+": "+e.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,s]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return l(this,void 0,void 0,function(){var t;return c(this,function(n){return ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,a=t.usage,i=t.complexTensors,o=t.isPacked;null!=n&&this.releaseTexture(e,n,r,a,o),null!=i&&(i.real.dispose(),i.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getCPUBackend=function(){return ve.get("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=ve.findBackend("cpu")),this.cpuBackend):null},e.prototype.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=10),null!=this.getCPUBackend()&&e.every(function(e){return null==n.texData.get(e.dataId).texture&&e.size<t})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var n=this.makeOutputArray(e.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:ve.engine.keep(e.clone()),imag:ve.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,n){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.slice(e,t,n);var r=new Pr(n),a=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,a)},e.prototype.stridedSlice=function(e,t,n,r,a,i,o,s,u){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.stridedSlice(e,t,n,r,a,i,o,s,u);var l=Je(e.shape,t,n,r,a,i,o,s,u),c=l[0],f=l[1],p=l[2],h=f.filter(function(e,t){return-1===p.indexOf(t)});if(h.some(function(e){return 0===e}))return lt([],h);var d=new function(e,t,n,r){this.variableNames=["x"];var a=n.filter(function(e,t){return-1===r.indexOf(t)});this.outputShape=a;var i=n.length,o=cn(n.length),s=cn(a.length),u="";if(1===i)u="coords * strides + begin";else{var l=0;u=n.map(function(e,t){return-1===r.indexOf(t)?(l++,1===a.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(l-1)+"] * strides["+t+"] + begin["+t+"]"):"begin["+t+"]"}).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+e+");\n      "+o+" strides = "+o+"("+t+");\n\n      void main() {\n        "+s+" coords = getOutputCoords();\n        setOutput(getX("+u+"));\n      }\n    "}(c,r,f,p);return this.compileAndRun(d,[e])},e.prototype.reverse=function(e,t){var n=new function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),a=cn(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat2Tensors=function(e,t,n){var r=Ge([e.shape,t.shape],n),a=e.as2D(-1,E(e.shape.slice(n))),i=t.as2D(-1,E(t.shape.slice(n))),o=new function(e,t){this.variableNames=["A","B"],this.outputShape=[],this.outputShape=Ge([e,t],1),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        float value = 0.0;\n        if (yC < "+e[1]+") {\n          value = getA(yR, yC);\n        } else {\n          yC -= "+e[1]+";\n          value = getB(yR, yC);\n        }\n\n        setOutput(value);\n      }\n    "}(a.shape,i.shape);return this.compileAndRun(o,[a,i]).reshape(r)},e.prototype.concat=function(e,t){if(this.shouldExecuteOnCPU(e))return this.cpuBackend.concat(e,t);if(1===e.length)return e[0];for(var n=e[0],r=1;r<e.length;++r)n=this.concat2Tensors(n,e[r],t);return n},e.prototype.neg=function(e){var t=new jr(e.shape,"return -x;");return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,n,r){var a=n?e.shape[2]:e.shape[1],i=r?t.shape[1]:t.shape[2],o=n?e.shape[1]:e.shape[2],s=e.shape[0];if((1===a||1===i)&&o>1e3){n&&(e=e.transpose([0,2,1])),r&&(t=t.transpose([0,2,1]));var u=1===i?e:e.as3D(s,o,1),l=1===i?2:1,c=1===i?t.as3D(s,1,o):t;return this.multiply(u,c).sum(l,!0)}if(1===s){var f=e.as2D(e.shape[1],e.shape[2]),p=t.as2D(t.shape[1],t.shape[2]),h=new Sr(f.shape,p.shape,[a,i],n,r),d=this.compileAndRun(h,[f,p],this.makePackedTensor(h.outputShape));return!1===ve.get("WEBGL_LAZILY_UNPACK")&&(d=this.unpackTensor(d)),d.reshape([1,d.shape[0],d.shape[1]])}return this.compileAndRun(new function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=["matrixA","matrixB"];var a=e[0],i=n?e[2]:e[1],o=r?t[1]:t[2],s=n?e[1]:e[2];this.outputShape=[a,i,o];var u=function(e,t){return n?"batch, "+t+" + "+e+", aRow":"batch, aRow, "+t+" + "+e},l=function(e,t){return r?"batch, bCol, "+t+" + "+e:"batch, "+t+" + "+e+", bCol"},c=4*Math.floor(s/4),f=s%4;this.userCode=" float dotARowBCol(int batch, int aRow, int bCol) {\n      float result = 0.0;\n      for (int i = 0; i < "+c+"; i += 4) {\n        vec4 a = vec4(\n          getMatrixA("+u(0,"i")+"),\n          getMatrixA("+u(1,"i")+"),\n          getMatrixA("+u(2,"i")+"),\n          getMatrixA("+u(3,"i")+")\n        );\n        vec4 b = vec4(\n          getMatrixB("+l(0,"i")+"),\n          getMatrixB("+l(1,"i")+"),\n          getMatrixB("+l(2,"i")+"),\n          getMatrixB("+l(3,"i")+")\n        );\n\n        result += dot(a, b);\n      }\n\n      if ("+(1===f)+") {\n        result += getMatrixA("+u(0,c)+") *\n          getMatrixB("+l(0,c)+");\n      } else if ("+(2===f)+") {\n        vec2 a = vec2(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+")\n        );\n        vec2 b = vec2(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+")\n        );\n        result += dot(a, b);\n      } else if ("+(3===f)+") {\n        vec3 a = vec3(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+"),\n          getMatrixA("+u(2,c)+")\n        );\n        vec3 b = vec3(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+"),\n          getMatrixB("+l(2,c)+")\n        );\n        result += dot(a, b);\n      }\n\n      return result;\n    }\n\n    void main() {\n      ivec3 resBRC = getOutputCoords();\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\n    }\n    "}(e.shape,t.shape,n,r),[e,t])},e.prototype.multiply=function(e,t){if("complex64"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),a=new Jt("return areal * breal - aimag * bimag;",e.shape,t.shape),i=new Jt("return areal * bimag + aimag * breal;",e.shape,t.shape),o=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag),this.makeComplexComponentTensorHandle(t,r.complexTensors.real),this.makeComplexComponentTensorHandle(t,r.complexTensors.imag)],s=this.compileAndRun(a,o),u=this.compileAndRun(i,o),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.multiply(e,t);var c=new en("return a * b;",e.shape,t.shape),f=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],f)},e.prototype.batchNormalization=function(e,t,n,r,a,i){var o=[e,t,n],s=null;null!=i&&(s=i.shape,o.push(i));var u=null;null!=a&&(u=a.shape,o.push(a));var l=null,c=Kt;ve.get("WEBGL_PACK_BATCHNORMALIZATION")&&(l=this.makePackedTensor(e.shape),c=Xt);var f=new c(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(f,o,l)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var i=new function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "}(e.shape,t,n,r,a);return this.compileAndRun(i,[e])},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){var s=new function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "}(t.shape,r,a,i,o);return this.compileAndRun(s,[t,n,e])},e.prototype.tile=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=cn(this.rank),i=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod("+n[a]+", "+e[a]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new function(e,t,n){this.variableNames=["x"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,a=cn(r),i=t.map(function(e){return e[0]}).join(","),o=t.map(function(t,n){return t[0]+e[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=cn(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A","indices"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var a=cn(this.rank),i=function(e,t){var n=e.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],i=0;i<e.length;i++)i===t?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(e,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.batchToSpaceND=function(e,t,n){b(e.rank<=4,"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=Me(e.shape,t,r),i=Re(a.length,t.length),o=De(e.shape,t,r),s=je(n,t.length),u=Le(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){b(e.rank<=4,"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Me(o.shape,t,r,!1),u=Re(s.length,t.length,!1),l=De(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],i=new function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=Math.ceil(a/n);this.outputShape=[r,i];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 0.0",s="min"):"max"===t&&(o="-1.0 / 0.0",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,f="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",p="vec4";"all"===t?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",p="bvec4"):"any"===t&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",p="bvec4");var h="";a%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+h+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "}({windowSize:Xe(a),inSize:a,batchSize:r},t),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],n);return this.compileAndRun(i,[e],l),1===l.shape[1]?l:this.reduce(l,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var i=new function(e,t,n){this.variableNames=["A"];var r=e.windowSize,a=e.batchSize,i=e.inSize,o=Math.ceil(i/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,o];var s="max"===t?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "}({windowSize:Xe(a),inSize:a,batchSize:r},t,null==n),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],"int32"),c=[e];return null!=n&&c.push(n),this.compileAndRun(i,c,l),1===l.shape[1]?l:this.argReduce(e,t,l)},e.prototype.sum=function(e,t){Ue("sum",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a),o=Tt(e.dtype);return this.reduce(i,"sum",o).reshape(r)},e.prototype.prod=function(e,t){var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a),o=Tt(e.dtype);return this.reduce(i,"prod",o).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,a=We([r],e.rank),i=e;null!=a&&(i=e.transpose(a),r=$e(1,e.rank)[0]);var o=function(e,t,n){for(var r=[],a=e.length,i=0;i<a;i++)i!==t?r.push(e[i]):r.push(n);return r}(i.shape,r,n),s=E([i.shape[r]]),u=i.as2D(-1,s),l=Tt(e.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",t,l,n).reshape(o);return null!=a&&(c=c.transpose(qe(a))),c},e.prototype.segOpCompute=function(e,t,n,r,a){var i=e.shape[0],o=e.shape[1],s=function(e,t){var n,r=!1;for(e<=Ke?(n=e,r=!0):n=z(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=z(e,n+1)}return n}(o,a),u=new function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, filter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "}({windowSize:s,inSize:o,batchSize:i,numSegments:a},t),l=u.outputShape,c=l[0],f=l[1],p=this.makeOutputArray([c,f],r);return this.compileAndRun(u,[e,n],p),p.shape[1]===a?p:(n=xt(0,a).tile([o/s]),this.segOpCompute(p,t,n,r,a))},e.prototype.argMin=function(e,t){var n=[t];Ue("argMin",n,e.rank);var r=ze(e.shape,n),a=r[0],i=E(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"min").reshape(a)},e.prototype.argMax=function(e,t){var n=[t];Ue("argMax",n,e.rank);var r=ze(e.shape,n),a=r[0],i=E(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"max").reshape(a)},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);var a=new function(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,a=e[e.length-1],i=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+a+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+cn(r)+" coords = getOutputCoords();\n        int end = "+hn(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+a+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+i+" end) {\n            continue;\n          }\n          if (idx == end && "+t+") {\n            continue;\n          }\n          "+hn(r,"coords")+" = idx;\n          val += getX("+function(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "}(e.shape,n,r);return this.compileAndRun(a,[e])},e.prototype.equal=function(e,t){var n=new en("return float(a == b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new en("return float(a != b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.less(e,t);var n=new en("return float(a < b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new en("return float(a <= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.greater(e,t);var n=new en("return float(a > b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new en("return float(a >= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new jr(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new en("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new en("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.select=function(e,t,n){var r=new function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+i[u]),u<e&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=cn(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "}(e.rank,t.shape,t.rank),a=this.makeOutputArray(r.outputShape,At(t.dtype,n.dtype));return this.compileAndRun(r,[e,t,n],a)},e.prototype.where=function(e){Te("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return Pa(e.shape,t)},e.prototype.topk=function(e,t,n){return qt(e.dataSync(),e.shape,e.dtype,t)},e.prototype.min=function(e,t){Ue("min",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"min",i.dtype).reshape(r)},e.prototype.minimum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.minimum(e,t);var n=new en("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new en("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[e,t],null,r)},e.prototype.max=function(e,t){Ue("max",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"max",i.dtype).reshape(r)},e.prototype.maximum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.maximum(e,t);var n=new en("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){Ue("all",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},e.prototype.any=function(e,t){Ue("any",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new en("return (a - b) * (a - b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new en("if (a == b) return 1.0;\n  return a / b;",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new en("\n  float resultSign = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  int result = ia / ib;\n  int amodb = ia - ib * result;\n\n  if (resultSign < 0.0 && amodb != 0) {\n    result -= 1;\n  }\n  return float(result);\n",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Zt);var n=new en(Zt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,At(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,a=this.texData.get(e.dataId),i=this.texData.get(t.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.complexTensors.imag,i.complexTensors.imag]].map(function(a){var i=a[0],o=a[1],s=new en(n,e.shape,t.shape),u=r.makeOutputArray(s.outputShape,At(i.dtype,o.dtype)),l=r.makeComplexComponentTensorHandle(e,i),c=r.makeComplexComponentTensorHandle(t,o);return r.compileAndRun(s,[l,c],u)}),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],n=1;n<e.length;n++)t=this.add(t,e[n]);return t},e.prototype.subtract=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Qt);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.subtract(e,t);var n=new en(Qt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,At(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new en("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=n.getCustomSetupFunc(),a=this.makeOutputArray(n.outputShape,At(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],a,r)},e.prototype.ceil=function(e){var t=new jr(e.shape,"return ceil(x);");return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new jr(e.shape,"return floor(x);");return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new jr(e.shape,"\n  if (isNaN(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new jr(e.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new jr(e.shape,"return exp(x);");return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new jr(e.shape,"return exp(x) - 1.0;");return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new jr(e.shape,"if (x < 0.0) return NAN;\n  return log(x);"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.log1p=function(e){var t=new jr(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new jr(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new jr(e.shape,"return inversesqrt(x);");return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new jr(e.shape,"return x * x;");return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new jr(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n");return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new jr(e.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new en("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new jr(e.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new jr(e.shape,"return float(int(x));"),n=this.makeOutputArray(t.outputShape,"int32");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      void main() {\n        float value = getAAtOutCoords();\n        if (isNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, float("+t+"), float("+n+")));\n      }\n    "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new jr(e.shape,"return abs(x);");return this.compileAndRun(t,[e])},e.prototype.complexAbs=function(e){var t=this.texData.get(e.dataId),n=new function(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n      void main() {\n        float real = getRealAtOutCoords();\n        float imag = getImagAtOutCoords();\n        vec2 v = vec2(real, imag);\n\n        setOutput(sqrt(dot(v, v)));\n      }\n    "}(e.shape),r=[this.makeComplexComponentTensorHandle(e,t.complexTensors.real),this.makeComplexComponentTensorHandle(e,t.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(e){var t=new jr(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new jr(e.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return sin(x);\n");return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return cos(x);\n");return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new jr(e.shape,"return tan(x);");return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new jr(e.shape,"return asin(x);");return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new jr(e.shape,"return acos(x);");return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return atan(x);\n");return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new en("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return atan(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new jr(e.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new jr(e.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new jr(e.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new jr(e.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.atanh=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.erf=function(e){var t=new jr(e.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n');return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new jr(e.shape,function(e){return void 0===e&&(e=0),Lr+"\n    return x > 0.0 ? 1.0 : float("+e+");\n  "}(t));return this.compileAndRun(n,[e])},e.prototype.conv2dWithIm2Row=function(e,t,n){var r=n.filterWidth,a=n.filterHeight,i=n.inChannels,o=n.outWidth,s=n.outHeight,u=r*a*i,l=s*o,c=[u,l],f=e.squeeze([0]),p=t.reshape([u,-1]),h=new function(e,t,n){this.variableNames=["A"],this.outputShape=e;var r=n.filterWidth,a=n.inChannels,i=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,f=s.left,p=s.top,h=a*r;this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            int blockIndex = rc.y + col;\n            int pos = rc.x + row;\n\n            if(blockIndex >= "+e[1]+" || pos >= "+e[0]+") continue;\n\n            int offsetY = int(blockIndex / ("+u+")) * "+o+" - "+p+";\n            int d0 = offsetY + "+c+" * (pos / "+h+");\n\n            if(d0 >= "+t[0]+" || d0 < 0) continue;\n\n            int offsetX = int(mod(float(blockIndex), "+u+".) * "+i+". - "+f+".);\n            int d1 = offsetX + "+l+" * (int(mod(float(pos), "+h+".) / "+a+".));\n\n            if(d1 >= "+t[1]+" || d1 < 0) continue;\n\n            result[row * 2 + col] = getA(d0, d1, int(mod(float(pos), "+a+".)));\n          }\n        }\n\n        gl_FragColor = result;\n      }\n    "}(c,f.shape,n),d=this.compileAndRun(h,[f],this.makePackedTensor(c)),m=new Sr(d.shape,p.shape,[l,n.outChannels],!0,!1),g=this.compileAndRun(m,[d,p],this.makePackedTensor(m.outputShape));return!1===ve.get("WEBGL_LAZILY_UNPACK")&&(g=this.unpackTensor(g)),g.reshape([1,s,o,n.outChannels])},e.prototype.conv2d=function(e,t,n){if(ve.get("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,n);var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+a+");\n      const ivec2 pads = ivec2("+t+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+i+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+o+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+l+"; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===c)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+l+") *\n                getW(wR, wC, "+l+", d2);\n            } else if ("+(2===c)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===c)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1),\n                getX(batch, xR, xC, "+l+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2),\n                getW(wR, wC, "+l+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.strideHeight,o=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,f=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+r+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+f+";\n        int q = d2 - d1 * "+f+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+t+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+c+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new Ir(t,"max",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new Ir(t,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var a=new Ir(r,"max",!0),i=this.compileAndRun(a,[t]),o=new function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,i=e.effectiveFilterWidth,o=a-1-e.padInfo.top,s=i-1-e.padInfo.left,u=a*i-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+a+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+t+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+i+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+i+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(r),s=this.makeOutputArray(o.outputShape,t.dtype),u=this.compileAndRun(o,[e,i],s);return i.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,f=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+f+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+i+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n),a=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],a)},e.prototype.cast=function(e,t){return Dt(e,t,this)},e.prototype.reshape=function(e,t){return this.texData.get(e.dataId).isPacked&&!er(e.shape,t)?this.packedReshape(e,t):jt(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(a-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.multinomial=function(e,t,n,r){var a=t?e:at(e),i=a.shape[0],o=a.shape[1],s=new Or(i,o,n),u=this.makeOutputArray(s.outputShape,"int32"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],u,l)},e.prototype.oneHot=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "}(e.size,t,n,r);return this.compileAndRun(a,[e])},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return Te("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Vt(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.cropAndResize=function(e,t,n,r,a,i){var o=new function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],f=n[1];this.outputShape=[l,c,f,u];var p="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],d=h[0],m=h[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],y=g[0],v=g[1],b=g[2],w=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],x=w[0],_=w[1],E=w[2];this.userCode="\n      const float height_ratio = float("+y+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+v+";\n        float width_scale = "+_+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\n        if("+p+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\n\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n          float newValue = top + (bottom - top) * fracRC.x;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestRC = ivec2(floor(\n            sourceFracIndexRC + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\n          setOutput(newValue);\n        }\n      }\n    "}(e.shape,t.shape,r,a,i);return this.compileAndRun(o,[e,t,n])},e.prototype.depthToSpace=function(e,t,n){b(t>1,"blockSize should be > 1 for depthToSpace, but was: "+t);var r=e.shape[0],a=("NHWC"===n?e.shape[1]:e.shape[2])*t,i=("NHWC"===n?e.shape[2]:e.shape[3])*t,o=("NHWC"===n?e.shape[3]:e.shape[1])/(t*t),s=new gn("NHWC"===n?[r,a,i,o]:[r,o,a,i],t,n);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,n){return Wt(e,t,n)},e.prototype.scatterND=function(e,t,n){var r=Ye(0,e,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=[u/o,o],c=e.reshape([i,a]),f=t.reshape([i,o]);if(0===u)return jt(lt([]),n);var p=ct(0),h=new Cr(i,a,c.rank,f.rank,s,l);return this.compileAndRun(h,[f,c,p]).reshape(n)},e.prototype.sparseToDense=function(e,t,n,r){var a=Ye(0,e,n),i=a.sliceRank,o=a.numUpdates,s=a.strides,u=a.outputSize,l=new Cr(o,i,e.rank,t.rank,s,[u,1],!1);return this.compileAndRun(l,[t,e,r]).reshape(n)},e.prototype.fft=function(e){return this.fftImpl(e,!1)},e.prototype.ifft=function(e){return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var n=this.texData.get(e.dataId),r=new yn("return real * expR - imag * expI;",e.shape,t),a=new yn("return real * expI + imag * expR;",e.shape,t),i=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag)],o=this.compileAndRun(r,i),s=this.compileAndRun(a,i),u=this.complex(o,s).as2D(e.shape[0],e.shape[1]);return o.dispose(),s.dispose(),u},e.prototype.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],a=He(e,t),i=a[0],o=a[1],s=a[2],u=a[3],l=t.reshape([o,r]),c=e.reshape([e.size/s,s]),f=new function(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;var r=cn(t.length),a=cn(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+i+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "}(r,u,[o,s]);return this.compileAndRun(f,[c,l]).reshape(i)},e.prototype.makeOutputArray=function(e,t){return re.make(e,{},t)},e.prototype.makePackedTensor=function(e){var t=re.make(e,{});return this.texData.get(t.dataId).isPacked=!0,t},e.prototype.unpackTensor=function(e){var t=new Br(e.shape);return this.compileAndRun(t,[e])},e.prototype.getBatchDim=function(e,t){return void 0===t&&(t=2),E(e.slice(0,e.length-t))},e.prototype.getRowsCols=function(e){if(0===e.length)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]},e.prototype.packedReshape=function(e,t){var n=e.reshape([this.getBatchDim(e.shape)].concat(this.getRowsCols(e.shape))),r=[this.getBatchDim(t)].concat(this.getRowsCols(t)),a=new function(e,t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=e;for(var n="",r=0;r<4;r++){var a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+="\n        "+a+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+tn(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+function(e){return"\n    int getFlatIndex(ivec3 coords) {\n      return round("+function(e,t){if(e.length!==t.length)throw new Error("Vectors to be dotted must be of the same length -got "+e.length+" and "+t.length);for(var n=[],r=Math.floor(e.length/4),a=e.length%4,i=0;i<r;i++){var o=e.slice(4*i,4*i+4),s=t.slice(4*i,4*i+4);n.push(nn(o)+", "+nn(s))}return 0!==a&&(o=e.slice(4*r),s=t.slice(4*r),1===o.length&&(o=o.map(function(e){return"float("+e+")"}),s=s.map(function(e){return"float("+e+")"})),n.push(nn(o)+", "+nn(s))),n.map(function(e,t){return"dot("+e+")"}).join("+")}(["coords.x","coords.y","coords.z"],F(e).map(function(e){return e.toString()}).concat(["1."]))+");\n    }\n  "}(e)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+e[1]+";\n        int cols = "+e[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "}(r,n.shape);return this.compileAndRun(a,[n],this.makePackedTensor(r)).reshape(t)},e.prototype.compileAndRun=function(e,t,n,r,a){var i=this;if(void 0===a&&(a=!0),null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=T(n.dtype,0),n;var o=t.map(function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=i.texData.get(t.dataId);if(null==n.texture&&(n.isPacked||!e.usesPackedTextures)&&E(t.shape)<=ve.get("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:i.readSync(t.dataId)};if(n.isPacked!==!!e.usesPackedTextures){var r=void 0,a=void 0;n.isPacked?(r=new Br(t.shape),a=i.compileAndRun(r,[t])):(r=new function(e){this.variableNames=["A"],this.outputShape=e;var t=e.length,n=kr("rc",t),r=cn(t),a=function(e,t,n){if(1===e)return"rc > "+t[0];for(var r="",a=e-2;a<e;a++)r+=n[a]+" >= "+t[a],a<e-1&&(r+="||");return r}(t,e,n),i=function(e,t,n,r){if(1===e)return"";var a=r.slice(-2);return"\n    int r = "+a[0]+";\n    int c = "+a[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+t+";\n    bool rEdge = rp1 >= "+n+";\n  "}(t,e[e.length-1],e[e.length-2],n),o=function(e,t){var n=e.length,r=function(e,t){for(var n=[],r=0;r<=1;r++)for(var a=0;a<=1;a++){for(var i=(0===r?"r":"rp1")+", "+(0===a?"c":"cp1"),o=2;o<e;o++)i=t[t.length-1-o]+","+i;n.push(i)}return n}(n,t);return 1===n?"getA(rc),\n            rc + 1 >= "+e[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(e,n);this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n\n        if("+a+") {\n          gl_FragColor = vec4(0);\n        } else {\n          "+i+"\n\n          setOutput(vec4("+o+"));\n        }\n      }\n    "}(t.shape),a=i.compileAndRun(r,[t],i.makePackedTensor(t.shape))),n=i.texData.get(a.dataId),t=a}return i.uploadToGPU(t.dataId),{shape:t.shape,texData:n,isUniform:!1}});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=function(e,t,n){var r="";o.concat(n).forEach(function(e){r+=e.shape+"_"+(e.isUniform?"uniform":e.texData.texShape)});var a=e.userCode,i=(!0===e.supportsBroadcasting).toString();return e.constructor.name+"_"+i+"_"+r+"_"+a}(e,0,u),c=this.getAndSaveBinary(l,function(){return function(e,t,n,r){for(var a=t.userCode,i=n.map(function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked};return{name:t.variableNames[n],shapeInfo:r}}),o=i.map(function(e){return e.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked},u=rn(i,s,a,!0===t.supportsBroadcasting,t.usesPackedTextures),l=e.createProgram(u),c={},f=0;f<t.variableNames.length;f++){var p=t.variableNames[f];c[p]=e.getUniformLocation(l,p,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:o,outShapeInfo:s}}(i.gpgpu,e,o,u)}),f=null!=this.activeTimers;if(f&&(s=this.startTimer()),function(e,t,n,r){Nr(e.inShapeInfos,t),Nr([e.outShapeInfo],[n]);var a=n.texData.texture,i=n.texData.texShape,o=e.gpgpu;n.texData.isPacked?o.setOutputPackedMatrixTexture(a,i[0],i[1]):o.setOutputMatrixTexture(a,i[0],i[1]),o.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],a=e.uniformLocations[r];if(null!=a){if(t.isUniform){if(1===E(t.shape))o.gl.uniform1f(a,t.uniformValues[0]);else{var i=t.uniformValues;i instanceof Float32Array||(i=new Float32Array(i)),o.gl.uniform1fv(a,i)}return}var s=t.texData.texture;o.setInputMatrixTexture(s,a,n)}}),null!=r&&r(o,e.webGLProgram),o.executeProgram()}(c,o,u,r),ve.get("WEBGL_PAGING_ENABLED")&&a&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var p=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;p>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),d=this.texData.get(h),m=d.shape,g=d.dtype;p-=this.computeBytes(m,g),this.read(h)}return f&&(s=this.endTimer(s),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(s)})),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return ke(function(){return e.abs(ct(1e-8)).get()>0?32:16})},e.prototype.uploadToGPU=function(e){var t=this.texData.get(e),n=t.shape,r=t.values,a=t.texture,i=t.dtype,o=t.usage,s=t.isPacked;if(null==a){var u,l=null!=this.activeTimers;l&&(u=performance.now());var c=Zn(n,s);t.texShape=c;var f=this.acquireTexture(e,c,o,s);if(t.texture=f,null!=r){if(s){var p=E(n.slice(0,n.length-2)),h=n.length>1?n[n.length-2]:1,d=n[n.length-1];this.gpgpu.uploadMatrixToPackedTexture(f,p,h,d,Ma(r,i))}else this.gpgpu.uploadMatrixToTexture(f,c[0],c[1],Ma(r,i));t.values=null,l&&(this.uploadWaitMs+=performance.now()-u)}}else ve.get("WEBGL_PAGING_ENABLED")&&this.lruDataGPU.indexOf(e)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),this.lruDataGPU.push(e))},e.prototype.convertAndCacheOnCPU=function(e,t){var n=this.delayedStorage,r=this.texData.get(e),a=r.texture,i=r.texShape,o=r.dtype,s=r.usage,u=r.isPacked;return n&&null!=a&&(this.releaseTexture(e,a,i,s,u),r.texture=null,r.texShape=null),r.usage=dn.UPLOAD,null!=t&&(r.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype 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e.mulStrict(t.toFloat().step(-1))}}})}}),Da=rt({acos_:function(e){var t=tt(e,"x","acos");return ve.engine.runKernel(function(e){return e.acos(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).sub(t.toFloat().square()).sqrt()).neg()}}})}}),ja=rt({acosh_:function(e){var t=tt(e,"x","acosh");return ve.engine.runKernel(function(e){return e.acosh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().square().sub(ct(1)).sqrt())}}})}}),La=rt({asin_:function(e){var t=tt(e,"x","asin");return ve.engine.runKernel(function(e){return e.asin(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).sub(t.toFloat().square()).sqrt())}}})}}),Ba=rt({asinh_:function(e){var t=tt(e,"x","asinh");return ve.engine.runKernel(function(e){return e.asinh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).add(t.toFloat().square()).sqrt())}}})}}),za=rt({atan_:function(e){var t=tt(e,"x","atan");return ve.engine.runKernel(function(e){return e.atan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).add(t.toFloat().square()))}}})}}),Fa=rt({atanh_:function(e){var t=tt(e,"x","atanh");return ve.engine.runKernel(function(e){return e.atanh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).sub(t.toFloat().square()))}}})}}),Va=rt({ceil_:function(e){var t=tt(e,"x","ceil");return ve.engine.runKernel(function(e){return e.ceil(t)},{$x:t},function(e){return{$x:function(){return Ct(e)}}})}}),Ua=rt({clipByValue_:function(e,t,n){var r=tt(e,"x","clipByValue");return b(t<=n,"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."),ve.engine.runKernel(function(e){return e.clip(r,t,n)},{$x:r},function(e){return{$x:function(){return e.where(r.greaterEqual(ct(t)).logicalAnd(r.lessEqual(ct(n))),Ct(e))}}})}}),Wa=rt({cos_:function(e){var t=tt(e,"x","cos");return ve.engine.runKernel(function(e){return e.cos(t)},{$x:t},function(e){return{$x:function(){return 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e.sin(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cos().mulStrict(e)}}})}}),ii=rt({sinh_:function(e){var t=tt(e,"x","sinh");return ve.engine.runKernel(function(e){return e.sinh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cosh().mulStrict(e)}}})}}),oi=rt({softplus_:function(e){var t=tt(e,"x","softplus");return ve.engine.runKernel(function(e){return e.softplus(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.sigmoid())}}})}}),si=rt({sqrt_:function(e){var t=tt(e,"x","sqrt");return ve.engine.runKernel(function(e){return e.sqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().sqrt().mul(ct(2)))}}})}}),ui=rt({square_:function(e){var t=tt(e,"x","square");return ve.engine.runKernel(function(e){return e.square(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().mul(ct(2)))}}})}}),li=rt({step_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","step");return ve.engine.runKernel(function(e){return e.step(n,t)},{$x:n},function(e){return{$x:function(){return Ct(e)}}})}}),ci=rt({tan_:function(e){var t=tt(e,"x","tan");return ve.engine.runKernel(function(e){return e.tan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.cos().square())}}})}}),fi=rt({tanh_:function(e){var t=tt(e,"x","tanh");return ve.engine.runKernel(function(e,n){return n(e.tanh(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return ct(1).sub(n.square()).mulStrict(e)}}})}});function pi(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}var hi=rt({batchNormalization2d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=tt(e,"x","batchNormalization"),l=tt(t,"mean","batchNormalization"),c=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(2===u.rank,"Error in batchNormalization3D: x must be rank 3 but got rank "+u.rank+"."),b(2===l.rank||1===l.rank,"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."),b(2===c.rank||1===c.rank,"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."),null!=o&&b(2===o.rank||1===o.rank,"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."),null!=s&&b(2===s.rank||1===s.rank,"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."),gi(u,l,c,r,o,s)}}),di=rt({batchNormalization3d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=tt(e,"x","batchNormalization"),l=tt(t,"mean","batchNormalization"),c=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(3===u.rank,"Error in batchNormalization3D: x must be rank 3 but got rank "+u.rank+"."),b(3===l.rank||1===l.rank,"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."),b(3===c.rank||1===c.rank,"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."),null!=o&&b(3===o.rank||1===o.rank,"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."),null!=s&&b(3===s.rank||1===s.rank,"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."),gi(u,l,c,r,o,s)}}),mi=rt({batchNormalization4d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=tt(e,"x","batchNormalization"),l=tt(t,"mean","batchNormalization"),c=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(4===u.rank,"Error in batchNormalization4D: x must be rank 4 but got rank "+u.rank+"."),b(4===l.rank||1===l.rank,"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."),b(4===c.rank||1===c.rank,"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."),null!=o&&b(4===o.rank||1===o.rank,"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."),null!=s&&b(4===s.rank||1===s.rank,"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."),gi(u,l,c,r,o,s)}}),gi=rt({batchNormalization_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u,l=tt(e,"x","batchNormalization"),c=tt(t,"mean","batchNormalization"),f=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(c.rank===f.rank,"Batch normalization gradient requires mean and variance to have equal ranks."),b(null==s||c.rank===s.rank,"Batch normalization gradient requires mean and offset to have equal ranks."),b(null==o||c.rank===o.rank,"Batch normalization gradient requires mean and scale to have equal 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1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)}}}).reshape(l.shape)}});function yi(e,t,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=bi(t),l=u[0],c=u[1];if("channelsLast"===o)s=[l,c,e[3],e[3]];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);s=[l,c,e[1],e[1]]}return vi(e,s,n,r,a,i,!1,o)}function vi(e,t,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=[-1,-1,-1,-1],l=u[0],c=u[1],f=u[2],p=u[3];if("channelsLast"===s)l=e[0],c=e[1],f=e[2],p=e[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);l=e[0],p=e[1],c=e[2],f=e[3]}var h,d=t[0],m=t[1],g=t[3],y=bi(n),v=y[0],w=y[1],x=bi(r),_=x[0],E=x[1],N=wi(d,_),O=wi(m,E),k=function(e,t,n,r,a,i,o,s){var u,l,c;if("number"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?"VALID":"NUMBER"};var f=function(e,t,n,r,a,i){null==a&&(a=function(e,t,n,r){void 0===r&&(r=1);var a=wi(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}(e,t,r));var o=e[1],s=xi((e[0]-t+2*a)/r+1,i);b(S(s),"The output # of rows 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Change the stride and/or zero pad parameters");var u=xi((o-t+2*a)/r+1,i);return b(S(u),"The output # of columns ("+u+") must be an integer. Change the stride and/or zero pad parameters"),[s,u,1]}([t,n,1],i,0,r,e,s);l=f[0],c=f[1]}else if("same"===e){var p=((l=Math.ceil(t/r))-1)*r+i-t,h=((c=Math.ceil(n/a))-1)*a+o-n,d=Math.floor(p/2),m=p-d,g=Math.floor(h/2);u={top:d,bottom:m,left:g,right:h-g,type:"SAME"}}else{if("valid"!==e)throw Error("Unknown padding parameter: "+e);u={top:0,bottom:0,left:0,right:0,type:"VALID"},l=Math.ceil((t-i+1)/r),c=Math.ceil((n-o+1)/a)}return{padInfo:u,outHeight:l,outWidth:c}}(a,c,f,v,w,N,O,i),I=k.padInfo,C=k.outHeight,P=k.outWidth,A=o?g*p:g;return"channelsFirst"===s?h=[l,A,C,P]:"channelsLast"===s&&(h=[l,C,P,A]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:f,inChannels:p,outHeight:C,outWidth:P,outChannels:A,padInfo:I,strideHeight:v,strideWidth:w,filterHeight:d,filterWidth:m,effectiveFilterHeight:N,effectiveFilterWidth:O,dilationHeight:_,dilationWidth:E,inShape:e,outShape:h,filterShape:t}}function bi(e){return"number"==typeof e?[e,e]:e}function wi(e,t){return t<=1?e:e+(e-1)*(t-1)}function xi(e,t){if(!t)return e;switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error("Unknown roundingMode "+t)}}function _i(e){var t=bi(e),n=t[0],r=t[1];return 1===n&&1===r}function Ei(e,t){return _i(e)||_i(t)}var Ni=rt({matMul_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=tt(e,"a","matMul"),i=tt(t,"b","matMul"),o=n?a.shape[a.rank-2]:a.shape[a.rank-1],s=r?i.shape[i.rank-1]:i.shape[i.rank-2],u=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],c=a.shape.slice(0,-2),f=i.shape.slice(0,-2),p=E(c),h=E(f);b(a.rank>=2&&i.rank>=2&&a.rank===i.rank,"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."),b(N(c,f),"Error in matMul: outer dimensions ("+c+") and ("+f+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."),b(o===s,"Error in matMul: inner shapes ("+o+") and ("+s+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match.");var d=a.shape.slice(0,-2).concat([u,l]),m=n?a.as3D(p,o,u):a.as3D(p,u,o),g=r?i.as3D(h,l,s):i.as3D(h,s,l);return ve.engine.runKernel(function(e){return e.batchMatMul(m,g,n,r)},{$a:m,$b:g},function(e){return n||r?!n&&r?{$a:function(){return e.matMul(g.toFloat(),!1,!1)},$b:function(){return e.matMul(m.toFloat(),!0,!1)}}:n&&!r?{$a:function(){return g.toFloat().matMul(e,!1,!0)},$b:function(){return m.toFloat().matMul(e,!1,!1)}}:{$a:function(){return g.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(m.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(g.toFloat(),!1,!0)},$b:function(){return m.toFloat().matMul(e,!0,!1)}}}).reshape(d)}}),Si=rt({dot_:function(e,t){var n=tt(e,"t1","dot"),r=tt(t,"t2","dot");b(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+".");var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];return b(a===i,"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),Oi=rt({outerProduct_:function(e,t){var n=tt(e,"v1","outerProduct"),r=tt(t,"v2","outerProduct");return b(1===n.rank&&1===r.rank,"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."),n.as2D(-1,1).matMul(r.as2D(1,-1))}});function ki(e,t,n,r,a,i){b(e.length===t.rank,"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match");var o=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),o=[1,e[0],e[1],e[2]]);var l=o[3],c=s.shape[3];b(4===o.length,"Error in conv2dDerInput: inShape must be length 4, but got length "+o.length+"."),b(4===s.rank,"Error in conv2dDerInput: dy must be rank 4, but got rank "+s.rank),b(4===n.rank,"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank),b(l===n.shape[2],"Error in conv2dDerInput: depth of input ("+l+") must match input depth for filter "+n.shape[2]+"."),b(c===n.shape[3],"Error in conv2dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[3]+"."),null!=i&&b(S(a),"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var f=vi(o,n.shape,r,1,a,i),p=ve.engine.runKernel(function(e){return e.conv2dDerInput(s,n,f)},{dy4D:s,filter:n},function(e){return{dy4D:function(){return Pi(e,n,r,a,"NHWC",1,i)},filter:function(){return Ai(e,s,n.shape,r,a,i)}}});return u?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function Ii(e,t,n,r,a,i){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),b(4===o.rank,"Error in conv2dDerFilter: input must be rank 4, but got shape "+o.shape+"."),b(4===s.rank,"Error in conv2dDerFilter: dy must be rank 4, but got shape "+s.shape+"."),b(4===n.length,"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."),b(o.shape[3]===n[2],"Error in conv2dDerFilter: depth of input "+o.shape[3]+") must match input depth in filter ("+n[2]+"."),b(s.shape[3]===n[3],"Error in conv2dDerFilter: depth of dy ("+s.shape[3]+") must match output depth for filter ("+n[3]+")."),null!=i&&b(S(a),"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var u=vi(o.shape,n,r,1,a,i);return ve.engine.runKernel(function(e){return e.conv2dDerFilter(o,s,u)},{x4D:o,dy4D:s})}var Ci=rt({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=tt(e,"x","conv1d"),u=tt(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),b(3===l.rank,"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."),b(3===u.rank,"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."),null!=o&&b(S(r),"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),b(l.shape[2]===u.shape[1],"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."),b(Ei(n,i),"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"),b("NWC"===a,"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported.");var f=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),p=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=Pi(p,f,[1,n],r,"NHWC",[1,i],o);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}}),Pi=rt({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=tt(e,"x","conv2d"),u=tt(t,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),b(4===l.rank,"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."),b(4===u.rank,"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."),null!=o&&b(S(r),"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),b(l.shape[3]===u.shape[2],"Error in conv2d: depth of input ("+l.shape[3]+") must match input depth for filter "+u.shape[2]+"."),b(Ei(n,i),"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),b("NHWC"===a,"Error in conv2d: got dataFormat of "+a+" but only NHWC is currently supported.");var f,p=vi(l.shape,u.shape,n,i,r,o);if(1!==p.filterHeight||1!==p.filterWidth||1!==p.dilationHeight||1!==p.dilationWidth||1!==p.strideHeight||1!==p.strideWidth||"SAME"!==p.padInfo.type&&"VALID"!==p.padInfo.type)f=ve.engine.runKernel(function(e){return e.conv2d(l,u,p)},{x:l,$filter:u},function(e){return b(_i(i),"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '"+i+"'"),{x:function(){return ki(l.shape,e,u,n,r)},$filter:function(){return Ii(l,e,u.shape,n,r)}}});else{var h=l.reshape([-1,p.inChannels]),d=u.reshape([p.inChannels,p.outChannels]);f=Ni(h,d).reshape(p.outShape)}return c?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}}),Ai=rt({conv2dDerFilter_:Ii}),Ti=rt({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=tt(e,"x","depthwiseConv2d"),u=tt(t,"filter","depthwiseConv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),b(4===l.rank,"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."),b(4===u.rank,"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."),b(l.shape[3]===u.shape[2],"Error in depthwiseConv2d: number of input channels ("+l.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."),null==i&&(i=[1,1]),b(Ei(n,i),"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),null!=o&&b(S(r),"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+".");var f=vi(l.shape,u.shape,n,i,r,o,!0),p=ve.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,f)},{x:l,$filter:u},function(e){return b(_i(i),"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+i+"'"),{x:function(){return function(e,t,n,r){var a=t,i=!1;3===t.rank&&(i=!0,a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var o=ve.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(a,n,r)},{dy4D:a});return i?o.as3D(o.shape[1],o.shape[2],o.shape[3]):o}(l.shape,e,u,f)},$filter:function(){return function(e,t,n,r){var a=e;3===e.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var i=t;return 3===i.rank&&(i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ve.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(a,i,r)},{x4D:a,dy4D:i})}(l,e,u.shape,f)}}});return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}}),Mi=rt({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=tt(e,"x","separableConv2d"),u=tt(t,"depthwiseFilter","separableConv2d"),l=tt(n,"pointwiseFilter","separableConv2d"),c=s,f=!1;if(3===s.rank&&(f=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");b(4===c.rank,"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."),b(4===u.rank,"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."),b(4===l.rank,"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."),b(1===l.shape[0],"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."),b(1===l.shape[1],"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got "+l.shape[1]+".");var p=u.shape[2],h=u.shape[3];b(l.shape[2]===p*h,"Error in separableConv2d: the third dimension of pointwise filter must be "+p*h+", but got "+l.shape[2]+".");var d=Ti(c,u,r,a,o,i),m=Pi(d,l,1,"valid",o);return f?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}}),Ri=rt({conv2dTranspose_:function(e,t,n,r,a,i){return ki(n,tt(e,"x","conv2dTranspose"),tt(t,"filter","conv2dTranspose"),r,a,i)}}),Di=rt({reverse_:function(e,t){var n=tt(e,"x","reverse");if(0===n.rank)return n.clone();var r=Ve(t,n.shape);return ve.engine.runKernel(function(e){return e.reverse(n,r)},{$x:n},function(e){return{$x:function(){return e.reverse(r)}}}).reshapeAs(n)}}),ji=rt({reverse1d_:function(e){var t=tt(e,"x","reverse");return b(1===t.rank,"Error in reverse1D: x must be rank 1 but got\n             rank "+t.rank+"."),Di(t,0)}}),Li=rt({reverse2d_:function(e,t){var n=tt(e,"x","reverse");return b(2===n.rank,"Error in reverse2D: x must be rank 2 but got\n             rank "+n.rank+"."),Di(n,t)}}),Bi=rt({reverse3d_:function(e,t){var n=tt(e,"x","reverse");return b(3===n.rank,"Error in reverse3D: x must be rank 3 but got\n             rank "+n.rank+"."),Di(n,t)}}),zi=rt({reverse4d_:function(e,t){var n=tt(e,"x","reverse");return b(4===n.rank,"Error in reverse4D: x must be rank 4 but got\n             rank "+n.rank+"."),Di(n,t)}});function Fi(e,t,n,r,a,i){var o=tt(e,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),null==r&&(r=[1,1]),b(4===s.rank,"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."),b(Ei(n,r),"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"),null!=i&&b(S(a),"Error in maxPool: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var l=yi(s.shape,t,n,r,a,i),c=ve.engine.runKernel(function(e,t){return t(e.maxPool(s,l))},{x:s},function(e,i){var o=i[0];return{x:function(){return function(e,t,n,r,a,i,o,s){var u=tt(e,"dy","maxPoolBackprop"),l=tt(t,"input","maxPoolBackprop"),c=tt(n,"output","maxPoolBackprop");b(l.rank===u.rank,"Rank of input ("+l.rank+") does not match rank of dy ("+u.rank+")"),null==i&&(i=[1,1]),b(Ei(a,i),"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+a+" and dilations '"+i+"'"),b(4===u.rank,"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."),b(4===l.rank,"Error in maxPoolBackprop: input must be rank 4 but got rank "+l.rank+".");var f=yi(l.shape,r,a,i,o,s);return ve.engine.runKernel(function(e){return e.maxPoolBackprop(u,l,c,f)},{$dy:u,$input:l})}(e,s,o,t,n,r,a)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function Vi(e,t,n,r,a,i){var o=tt(e,"x","avgPool");b("float32"===o.dtype,"The input dtype to avgPool must be float32"),null==r&&(r=[1,1]),b(Ei(n,r),"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'");var s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),b(4===s.rank,"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."),null!=i&&b(S(a),"Error in avgPool: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var l=yi(s.shape,t,n,r,a),c=ve.engine.runKernel(function(e){return e.avgPool(s,l)},{x:s},function(e){return{x:function(){return function(e,t,n,r,a,i){var o=tt(e,"dy","avgPoolBackprop"),s=tt(t,"input","avgPoolBackprop");b(s.rank===o.rank,"Rank of input ("+s.rank+") does not match rank of dy ("+o.rank+")"),null==a&&(a=[1,1]),b(Ei(r,a),"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+a+"'");var u=s,l=o,c=!1;3===s.rank&&(c=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),l=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),b(4===l.rank,"Error in avgPoolBackprop: dy must be rank 4 but got rank "+l.rank+"."),b(4===u.rank,"Error in avgPoolBackprop: input must be rank 4 but got rank "+u.rank+".");var f=yi(u.shape,n,r,a,i),p=ve.engine.runKernel(function(e){return e.avgPoolBackprop(l,u,f)},{dy4D:l,input4D:u});return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}(e,s,t,n,r,a)}}});return c=c.cast(o.dtype),u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}var Ui=rt({maxPool_:function(e,t,n,r,a){return Fi(e,t,n,1,r,a)}}),Wi=rt({avgPool_:function(e,t,n,r,a){return Vi(e,t,n,1,r,a)}}),qi=rt({pool_:function(e,t,n,r,a,i){null==a&&(a=[1,1]),null==i&&(i=1),0===r&&(r="valid");var o=tt(e,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),b(Ei(i,a),"Error in pool: Either strides or dilations must be 1. Got strides "+i+" and dilations '"+a+"'");var l,c=yi(s.shape,t,i,a,r),f=[c.dilationHeight,c.dilationWidth];l="same"===r?function(e,t){var n=e.map(function(e,n){return e+(e-1)*(t[n]-1)}).map(function(e){return e-1}),r=n.map(function(e){return Math.floor(e/2)}),a=n.map(function(e,t){return e-r[t]});return n.map(function(e,t){return[r[t],a[t]]})}([c.filterHeight,c.filterWidth],f):[[0,0],[0,0]];var p=1===f[0]&&1===f[1],h=function(e,t,n){var r=n.map(function(e){return e[0]}),a=n.map(function(e){return e[1]}),i=e.concat(r,a),o=t.map(function(e,t){return(e-i[t]%e)%e}),s=a.map(function(e,t){return e+o[t]});return[t.map(function(e,t){return[r[t],s[t]]}),t.map(function(e,t){return[0,o[t]]})]}([c.inHeight,c.inWidth],f,l),d=h[0],m=h[1],g=p?r:"valid",y=p?s:Ea(s,f,d),v=("avg"===n?function(){return Vi(y,t,i,1,g)}:function(){return Fi(y,t,i,1,g)})(),w=p?v:aa(v,f,m);return u?w.as3D(w.shape[1],w.shape[2],w.shape[3]):w}}),$i=rt({slice_:function(e,t,n){var r,a,i=tt(e,"x","slice");if(0===i.rank)throw new Error("Slicing scalar is not possible");r="number"==typeof t?[t].concat(new Array(i.rank-1).fill(0)):t.length<i.rank?t.concat(new Array(i.rank-t.length).fill(0)):t.slice(),a=(a=null==n?new Array(i.rank).fill(-1):"number"==typeof n?[n].concat(new Array(i.rank-1).fill(-1)):n.length<i.rank?n.concat(new Array(i.rank-n.length).fill(-1)):n).map(function(e,t){return e>=0?e:(b(-1===e,"Bad value in size"),i.shape[t]-r[t])}),function(e,t,n){b(e.rank===t.length,"Error in slice"+e.rank+"D: Length of begin "+t+" must match the rank of the array ("+e.rank+")."),b(e.rank===n.length,"Error in slice"+e.rank+"D: Length of size "+n+" must match the rank of the array ("+e.rank+").");for(var r=0;r<e.rank;++r)b(t[r]+n[r]<=e.shape[r],"Error in slice"+e.rank+"D: begin["+r+"] + size["+r+"] ("+(t[r]+n[r])+") would overflow input.shape["+r+"] ("+e.shape[r]+")")}(i,r,a);var o=i.shape;return ve.engine.runKernel(function(e){return e.slice(i,r,a)},{$x:i},function(e){for(var t=[],n=0;n<e.rank;n++)t.push([r[n],o[n]-r[n]-a[n]]);return{$x:function(){return e.pad(t)}}})}}),Gi=rt({slice1d_:function(e,t,n){var r=tt(e,"x","slice1d");return b(1===r.rank,"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"),$i(r,[t],[n])}}),Hi=rt({slice2d_:function(e,t,n){var r=tt(e,"x","slice2d");return b(2===r.rank,"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"),$i(r,t,n)}}),Ki=rt({slice3d_:function(e,t,n){var r=tt(e,"x","slice3d");return b(3===r.rank,"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"),$i(r,t,n)}}),Xi=rt({slice4d_:function(e,t,n){var r=tt(e,"x","slice4d");return b(4===r.rank,"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"),$i(r,t,n)}});function Yi(e,t,n,r,a){var i=t[0];return i.rank<n.rank&&(i=i.reshape(Fe(i.shape,r))),e.rank<n.rank&&(e=e.reshape(Fe(e.shape,r))),{$x:function(){var t=e.mul(n.equal(i).cast(e.dtype));return null==a?t:t.transpose(a)}}}var Ji=rt({all_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","all","bool");b("bool"===r.dtype,"Error Tensor must be of type bool. Got: "+r.dtype);var a=Ve(t,r.shape),i=a,o=We(i,r.rank);null!=o&&(r=r.transpose(o),i=$e(i.length,r.rank));var s=ve.engine.runKernel(function(e){return e.all(r,i)},{$x:r});if(n){var u=Fe(s.shape,a);return s.reshape(u)}return s}}),Zi=rt({any_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","any","bool");b("bool"===r.dtype,"Error Tensor must be of type bool. Got: "+r.dtype);var a=Ve(t,r.shape),i=a,o=We(i,r.rank);null!=o&&(r=r.transpose(o),i=$e(i.length,r.rank));var s=ve.engine.runKernel(function(e){return e.any(r,i)},{$x:r});if(n){var u=Fe(s.shape,a);return s.reshape(u)}return s}}),Qi=rt({argMax_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","argMax");null==t&&(t=0);var r=Ve(t,n.shape),a=We(r,n.rank);return null!=a&&(n=n.transpose(a),r=$e(r.length,n.rank)),ve.engine.runKernel(function(e){return e.argMax(n,r[0])},{$x:n},function(e){return{$x:function(){return Ct(n)}}})}}),eo=rt({argMin_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","argMin");null==t&&(t=0);var r=Ve(t,n.shape),a=We(r,n.rank);return null!=a&&(n=n.transpose(a),r=$e(r.length,n.rank)),ve.engine.runKernel(function(e){return e.argMin(n,r[0])},{$x:n},function(e){return{$x:function(){return Ct(n)}}})}}),to=rt({logSumExp_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","logSumExp"),a=Ve(t,r.shape),i=r.max(a,!0),o=r.sub(i).exp().sum(a).log(),s=i.reshape(o.shape).add(o);if(n){var u=Fe(s.shape,a);return s.reshape(u)}return s}}),no=rt({max_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","max"),a=r,i=Ve(t,r.shape),o=i,s=We(o,r.rank);null!=s&&(r=r.transpose(s),o=$e(o.length,r.rank));var u=ve.engine.runKernel(function(e,t){return t(e.max(r,o))},{$x:r},function(e,t){return Yi(e,t,a,i,s)});if(n){var l=Fe(u.shape,i);u=u.reshape(l)}return u}}),ro=rt({mean_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","mean"),a=Ve(t,r.shape),i=E(ze(r.shape,a)[1]);return Se(function(e){var r=ct(i);return{value:(r.dtype===e.dtype?e:e.cast(r.dtype)).div(r).sum(t,n),gradFunc:function(t){var n=e.shape.slice();return a.forEach(function(e){n[e]=1}),t.reshape(n).mul(yt(e.shape,"float32")).div(r)}}})(r)}}),ao=rt({min_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var 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i},e.prototype.any=function(e,t){this.assertNotComplex(e,"any"),Ue("any",t,e.rank);for(var n=ze(e.shape,t),r=n[0],a=n[1],i=vt(r,e.dtype),o=E(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];f=f||h}s[l]=f}return i},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],"squaredDifference"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){this.assertNotComplex(e,"ceil");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return re.make(e.shape,{values:n})},e.prototype.floor=function(e){this.assertNotComplex(e,"floor");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return re.make(e.shape,{values:n})},e.prototype.sign=function(e){this.assertNotComplex(e,"x");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return re.make(e.shape,{values:n})},e.prototype.round=function(e){this.assertNotComplex(e,"round");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=Math.floor(t[r]);t[r]-a<.5?n[r]=Math.floor(t[r]):t[r]-a>.5?n[r]=Math.ceil(t[r]):n[r]=a%2==0?a:a+1}return re.make(e.shape,{values:n})},e.prototype.exp=function(e){this.assertNotComplex(e,"exp");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return re.make(e.shape,{values:n})},e.prototype.expm1=function(e){this.assertNotComplex(e,"expm1");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return re.make(e.shape,{values:n})},e.prototype.log=function(e){this.assertNotComplex(e,"log");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log(a)}return re.make(e.shape,{values:n})},e.prototype.log1p=function(e){this.assertNotComplex(e,"log1p");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log1p(a)}return re.make(e.shape,{values:n})},e.prototype.sqrt=function(e){this.assertNotComplex(e,"sqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.sqrt(a)}return re.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,"rsqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=1/Math.sqrt(a)}return re.make(e.shape,{values:n})},e.prototype.square=function(e){this.assertNotComplex(e,"square");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=a*a}return re.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,"reciprocal");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return re.make(e.shape,{values:n})},e.prototype.relu=function(e){this.assertNotComplex(e,"relu");for(var t=vt(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,"elu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?a:Math.exp(a)-1}return re.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],"eluDer");for(var n=new Float32Array(t.size),r=t.dataSync(),a=e.dataSync(),i=0;i<r.length;++i){var o=r[i];n[i]=o>=1?a[i]:a[i]*(o+1)}return re.make(t.shape,{values:n})},e.prototype.selu=function(e){this.assertNotComplex(e,"selu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?1.0507009873554805*a:1.7580993408473768*(Math.exp(a)-1)}return re.make(e.shape,{values:t})},e.prototype.clip=function(e,t,n){this.assertNotComplex(e,"clip");for(var r=new Float32Array(e.size),a=e.dataSync(),i=0;i<a.length;++i){var o=a[i];r[i]=o>n?n:o<t?t:o}return re.make(e.shape,{values:r})},e.prototype.abs=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return re.make(e.shape,{values:t})},e.prototype.complexAbs=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<e.size;++r){var a=n[2*r],i=n[2*r+1];t[r]=Math.sqrt(a*a+i*i)}return re.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,"int");for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return re.make(e.shape,{values:t},"int32")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,"sigmoid");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return re.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,"softplus");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i,o=r[a]>-t,s=r[a]<t,u=Math.exp(r[a]);i=s?u:o?r[a]:Math.log(1+u),n[a]=i}return re.make(e.shape,{values:n})},e.prototype.sin=function(e){this.assertNotComplex(e,"sin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return re.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,"cos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return re.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,"tan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return re.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,"asin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return re.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,"acos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return re.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,"atan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return re.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],"atan2"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,"sinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return re.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,"cosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return re.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,"tanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=O(n[r]);return re.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,"asinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return re.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,"acosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return re.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,"atanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return re.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,"erf");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r],i=1/(1+.3275911*a);t[r]=1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a)}return re.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,"step");for(var n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i=r[a];isNaN(i)?n[a]=NaN:n[a]=i>0?1:t}return re.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){this.assertNotComplex([e,t],"conv2d");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=na(n.outShape,e.dtype),c=e.dataSync(),f=t.dataSync(),p=l.values,h=0;h<n.batchSize;++h)for(var d=h*e.strides[0],m=h*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],v=g*n.strideHeight-s,b=0;b<r;b++){var w=v+b*i;if(!(w<0||w>=n.inHeight))for(var x=b*t.strides[0],_=d+w*e.strides[1],E=0;E<n.outWidth;++E)for(var N=y+E*n.outChannels,S=E*n.strideWidth-u,O=0;O<a;O++){var k=S+O*o;if(!(k<0||k>=n.inWidth))for(var I=x+O*t.strides[1],C=_+k*n.inChannels,P=I,A=0;A<n.inChannels;++A){for(var T=c[C+A],M=0;M<n.outChannels;++M)p[N+M]+=T*f[P+M];P+=n.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerInput");for(var r=na(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=0;T<b;++T)for(var M=0;M<_;++M)for(var R=0;R<E;++R)for(var D=R-P,j=Math.max(0,Math.ceil(D/I)),L=Math.min(O,(w+D)/I),B=0;B<N;++B){for(var z=B-A,F=Math.max(0,Math.ceil(z/C)),V=Math.min(k,(x+z)/C),U=0,W=j;W<L;++W)for(var q=W*I-D,$=F;$<V;++$)for(var G=f*T+p*W+h*$,H=g*(w-1-q)+y*(x-1-($*C-z))+v*M,K=0;K<S;++K)U+=l[G+K]*d[H+K];a[o*T+s*R+u*B+M]=U}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=na(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<i;++c)for(var f=Math.max(0,Math.ceil((l-c)/r)),p=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<o;++h)for(var d=Math.max(0,Math.ceil((u-h)/a)),m=Math.min(n.outWidth,(n.inWidth+u-h)/a),g=0;g<n.inChannels;++g)for(var y=0;y<n.outChannels;++y){for(var v=0,b=0;b<n.batchSize;++b)for(var w=f;w<p;++w)for(var x=c+w*r-l,_=d;_<m;++_){var E=h+_*a-u;v+=e.get(b,x,E,g)*t.get(b,w,_,y)}s.set(v,c,h,g,y)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=na(n.outShape,e.dtype),f=e.dataSync(),p=t.dataSync(),h=c.values,d=0;d<n.batchSize;++d)for(var m=d*e.strides[0],g=d*c.strides[0],y=0;y<n.outHeight;++y)for(var v=g+y*c.strides[1],b=y*n.strideHeight-s,w=0;w<r;++w){var x=b+w*i;if(!(x<0||x>=n.inHeight))for(var _=w*t.strides[0],E=m+x*e.strides[1],N=0;N<n.outWidth;++N)for(var S=v+N*c.strides[2],O=N*n.strideWidth-u,k=0;k<a;++k){var I=O+k*o;if(!(I<0||I>=n.inWidth))for(var C=_+k*t.strides[1],P=E+I*n.inChannels,A=S,T=C,M=0;M<n.inChannels;++M){for(var R=f[P+M],D=0;D<l;++D)h[A+D]+=R*p[T+D];A+=l,T+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerInput");for(var r=na(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=S/_,M=0;M<b;++M)for(var R=0;R<_;++R)for(var D=0;D<E;++D)for(var j=D-P,L=Math.max(0,Math.ceil(j/I)),B=Math.min(O,(w+j)/I),z=0;z<N;++z){for(var F=z-A,V=Math.max(0,Math.ceil(F/C)),U=Math.min(k,(x+F)/C),W=0,q=L;q<B;++q)for(var $=q*I-j,G=V;G<U;++G)for(var H=f*M+p*q+h*G,K=g*(w-1-$)+y*(x-1-(G*C-F))+v*R,X=0;X<T;++X)W+=l[H+(R*T+X)]*d[K+X];a[o*M+s*D+u*z+R]=W}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=na(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,f=0;f<i;++f)for(var p=Math.max(0,Math.ceil((l-f)/r)),h=Math.min(n.outHeight,(n.inHeight+l-f)/r),d=0;d<o;++d)for(var m=Math.max(0,Math.ceil((u-d)/a)),g=Math.min(n.outWidth,(n.inWidth+u-d)/a),y=0;y<n.outChannels;++y){for(var v=Math.trunc(y/c),b=y%c,w=0,x=0;x<n.batchSize;++x)for(var _=p;_<h;++_)for(var E=f+_*r-l,N=m;N<g;++N){var S=d+N*a-u;w+=e.get(x,E,S,v)*t.get(x,_,N,y)}s.set(w,f,d,v,b)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,"tile");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var a=na(n,e.dtype),i=e.buffer();for(r=0;r<a.values.length;++r){for(var o=a.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=o[u]%e.shape[u];var l=i.locToIndex(s);a.values[r]=i.values[l]}return a.toTensor()},e.prototype.pad=function(e,t,n){this.assertNotComplex(e,"pad");var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),a=t.map(function(e){return e[0]}),i=e.buffer(),o=na(r,e.dtype);0!==n&&o.values.fill(n);for(var s=0;s<e.size;s++){var u=i.indexToLoc(s),l=u.map(function(e,t){return e+a[t]});o.set.apply(o,[e.get.apply(e,u)].concat(l))}return o.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,"transpose");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var a=e.dataSync(),i=na(n,e.dtype),o=e.buffer();for(r=0;r<e.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=i.locToIndex(u);i.values[c]=a[r]}return i.toTensor()},e.prototype.gather=function(e,t,n){this.assertNotComplex([e,t],"gather");var r=e.shape.slice(),a=t.dataSync();r[n]=a.length;for(var i=na(r,e.dtype),o=e.buffer(),s=0;s<i.size;++s){var u=i.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=o.locToIndex(l);i.values[s]=o.values[c]}return i.toTensor()},e.prototype.batchToSpaceND=function(e,t,n){this.assertNotComplex([e],"batchToSpaceND");var r=t.reduce(function(e,t){return e*t}),a=Me(e.shape,t,r),i=Re(a.length,t.length),o=De(e.shape,t,r),s=je(n,t.length),u=Le(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){this.assertNotComplex([e],"spaceToBatchND");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Me(o.shape,t,r,!1),u=Re(s.length,t.length,!1),l=De(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,n){this.assertNotComplex(e,"pool");for(var r=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,f="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,p=e.dataSync(),h=na(t.outShape,e.dtype),d=h.values,m=t.outShape[1]*t.outShape[2]*t.outShape[3],g=t.outShape[2]*t.outShape[3],y=t.outShape[3],v=0;v<t.batchSize;++v)for(var b=v*m,w=v*e.strides[0],x=0;x<t.inChannels;++x)for(var _=0;_<t.outHeight;++_)for(var E=_*r-l,N=Math.max(0,E),S=Math.min(t.inHeight,s+E),O=b+_*g,k=0;k<t.outWidth;++k){for(var I=k*a-c,C=Math.max(0,I),P=Math.min(t.inWidth,u+I),A=f,T=0,M=0,R=N;R<S;R+=i){for(var D=w+R*e.strides[1],j=C;j<P;j+=o){var L=p[D+j*e.strides[2]+x];"max"===n&&L>A?A=L:"avg"===n&&(T+=L,M++)}if(isNaN(A))break}d[O+k*y+x]="avg"===n?T/M:A}return h.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,"max")},e.prototype.maxPoolPositions=function(e,t){for(var n=na(t.outShape,"int32"),r=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,f=0;f<t.batchSize;++f)for(var p=0;p<t.inChannels;++p)for(var h=0;h<t.outHeight;++h){for(var d=h*r-l,m=d;m<0;)m+=i;for(var g=Math.min(t.inHeight,s+d),y=0;y<t.outWidth;++y){for(var v=y*a-c,b=v;b<0;)b+=o;for(var w=Math.min(t.inWidth,u+v),x=Number.NEGATIVE_INFINITY,_=-1,E=m;E<g;E+=i)for(var N=E-d,S=b;S<w;S+=o){var O=S-v,k=e.get(f,E,S,p);k>x&&(x=k,_=N*u+O)}n.set(_,f,h,y,p)}}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){this.assertNotComplex([t,n],"maxPoolBackprop");for(var a=this.maxPoolPositions(t,r),i=r.strideHeight,o=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,f=c-1-r.padInfo.left,p=l-1-r.padInfo.top,h=na(t.shape,"float32"),d=0;d<r.batchSize;++d)for(var m=0;m<r.inChannels;++m)for(var g=0;g<r.inHeight;++g)for(var y=0;y<r.inWidth;++y){for(var v=g-p,b=y-f,w=0,x=0;x<l;x+=s){var _=(v+x)/i;if(!(_<0||_>=r.outHeight||Math.floor(_)!==_))for(var E=0;E<c;E+=u){var N=(b+E)/o;if(!(N<0||N>=r.outWidth||Math.floor(N)!==N)){var S=l*c-1-a.get(d,_,N,m)===x*c+E?1:0;0!==S&&(w+=e.get(d,_,N,m)*S)}}}h.set(w,d,g,y,m)}return h.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){this.assertNotComplex([e,t],"avgPoolBackprop");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,f=c-1-n.padInfo.left,p=l-1-n.padInfo.top,h=na(t.shape,"float32"),d=1/(i*o),m=0;m<n.batchSize;++m)for(var g=0;g<n.inChannels;++g)for(var y=0;y<n.inHeight;++y)for(var v=0;v<n.inWidth;++v){for(var b=y-p,w=v-f,x=0,_=0;_<l;_+=s){var E=(b+_)/r;if(!(E<0||E>=n.outHeight||Math.floor(E)!==E))for(var N=0;N<c;N+=u){var S=(w+N)/a;S<0||S>=n.outWidth||Math.floor(S)!==S||(x+=e.get(m,E,S,g))}}h.set(x*d,m,y,v,g)}return h.toTensor()},e.prototype.cast=function(e,t){return Dt(e,t,this)},e.prototype.reshape=function(e,t){return jt(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,"avgPool"),this.pool(e,t,"avg").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){this.assertNotComplex(e,"resizeBilinear");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=e.dataSync(),c=new Float32Array(E([i,t,n,u])),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=0,d=f[0]/p[0],m=f[1]/p[1],g=0;g<i;g++)for(var y=0;y<t;y++)for(var v=d*y,b=Math.floor(v),w=v-b,x=Math.min(o-1,Math.ceil(v)),_=g*e.strides[0]+b*e.strides[1],N=g*e.strides[0]+x*e.strides[1],S=0;S<n;S++)for(var O=m*S,k=Math.floor(O),I=O-k,C=Math.min(s-1,Math.ceil(O)),P=_+k*e.strides[2],A=N+k*e.strides[2],T=_+ +C*e.strides[2],M=N+C*e.strides[2],R=0;R<u;R++){var D=l[P+R],j=l[A+R],L=D+(l[T+R]-D)*I,B=L+(j+(l[M+R]-j)*I-L)*w;c[h++]=B}return lt(c,[i,t,n,u])},e.prototype.resizeBilinearBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeBilinearBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=new Float32Array(a*i*o*s),p=[n&&l>1?i-1:i,n&&c>1?o-1:o],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=p[0]/h[0],m=p[1]/h[1],g=e.dataSync(),y=0,v=0;v<a;v++)for(var b=v*t.strides[0],w=0;w<l;w++)for(var x=w*d,_=Math.floor(x),E=Math.min(Math.ceil(x),i-1),N=b+_*t.strides[1],S=b+E*t.strides[1],O=x-_,k=1-O,I=0;I<c;I++)for(var C=I*m,P=Math.floor(C),A=Math.min(Math.ceil(C),o-1),T=C-P,M=1-T,R=N+P*t.strides[2],D=N+A*t.strides[2],j=S+P*t.strides[2],L=S+A*t.strides[2],B=k*M,z=k*T,F=O*M,V=O*T,U=0;U<s;U++){var W=g[y++];f[R+U]+=W*B,f[D+U]+=W*z,f[j+U]+=W*F,f[L+U]+=W*V}return dt(f,[a,o,i,s],t.dtype)},e.prototype.resizeNearestNeighbor=function(e,t,n,r){this.assertNotComplex(e,"resizeNearestNeighbor");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=e.dataSync(),c=new Float32Array(i*t*n*u),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=f[0]/p[0],d=f[1]/p[1],m=0,g=0;g<i;g++)for(var y=g*e.strides[0],v=0;v<t;v++)for(var b=h*v,w=y+Math.min(o-1,r?Math.round(b):Math.floor(b))*e.strides[1],x=0;x<n;x++)for(var _=d*x,E=w+Math.min(s-1,r?Math.round(_):Math.floor(_))*e.strides[2],N=0;N<u;N++){var S=l[E+N];c[m++]=S}return lt(c,[i,t,n,u],e.dtype)},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeNearestNeighborBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=new Float32Array(a*i*o*s),p=e.dataSync(),h=[n&&l>1?i-1:i,n&&c>1?o-1:o],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=h[0]/d[0],g=h[1]/d[1],y=1/m,v=1/g,b=2*Math.ceil(y)+2,w=2*Math.ceil(v)+2,x=0;x<a;x++)for(var _=x*t.strides[0],E=0;E<i;E++)for(var N=_+E*t.strides[1],S=Math.floor(E*y),O=Math.floor(S-b/2),k=0;k<o;k++)for(var I=N+k*t.strides[2],C=Math.floor(k*v),P=Math.floor(C-w/2),A=0;A<s;A++){for(var T=0,M=0;M<b;M++){var R=M+O;if(!(R<0||R>=l)){var D=_+R*e.strides[1],j=R*m;if(E===Math.min(i-1,n?Math.round(j):Math.floor(j)))for(var L=0;L<w;L++){var B=L+P;if(!(B<0||B>=c)){var z=D+B*e.strides[2],F=B*g;k===Math.min(o-1,n?Math.round(F):Math.floor(F))&&(T+=p[z+A])}}}}f[I+A]=T}return dt(f,t.shape,t.dtype)},e.prototype.batchNormalization=function(e,t,n,r,a,i){this.assertNotComplex([e,t,n,a,i],"batchNormalization");for(var o=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=a?a.dataSync():new Float32Array([1]),c=i?i.dataSync():new Float32Array([0]),f=new Float32Array(o.length),p=c.length,h=l.length,d=u.length,m=s.length,g=0,y=0,v=0,b=0,w=0;w<o.length;++w)f[w]=c[g++]+(o[w]-s[y++])*l[v++]/Math.sqrt(u[b++]+r),g>=p&&(g=0),y>=m&&(y=0),v>=h&&(v=0),b>=d&&(b=0);return dt(f,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){this.assertNotComplex(e,"localResponseNormalization4D");var i=e.shape[3],o=i-1,s=e.dataSync(),u=E(e.shape),l=new Float32Array(u);function c(e){for(var n=e%i,r=e-n+Math.max(0,n-t),a=e-n+Math.min(n+t,o),u=0;r<=a;r++){var l=s[r];u+=l*l}return u}for(var f=0;f<u;f++){var p=c(f),h=s[f]*Math.pow(n+r*p,-a);l[f]=h}return dt(l,e.shape)},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){this.assertNotComplex(e,"LRNGrad");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=n.dataSync(),f=new Float32Array(E(e.shape)),p=E(e.shape),h=0;h<p;h++){for(var d=h%s,m=h-d+Math.max(0,d-r),g=h-d+Math.min(s,d+r+1),y=0,v=m;v<g;v++)y+=Math.pow(l[v],2);for(y=i*y+a,v=m;v<g;v++){var b=-2*i*o*l[v]*c[h]/y;h===v&&(b+=Math.pow(y,-o)),b*=u[h],f[v]+=b}}return dt(f,e.shape)},e.prototype.multinomial=function(e,t,n,r){this.assertNotComplex(e,"multinomial");for(var a=t?e:at(e),i=a.shape[0],o=a.shape[1],s=vt([i,n],"int32"),u=s.dataSync(),l=a.dataSync(),c=0;c<i;++c){var f=c*o,p=new Float32Array(o-1);p[0]=l[f];for(var h=1;h<p.length;++h)p[h]=p[h-1]+l[f+h];for(var d=Qr(r.toString()),m=c*n,g=0;g<n;++g){var y=d();u[m+g]=p.length;for(var v=0;v<p.length;v++)if(y<p[v]){u[m+g]=v;break}}}return s},e.prototype.oneHot=function(e,t,n,r){this.assertNotComplex(e,"oneHot");var a=new Float32Array(e.size*t);a.fill(r);for(var i=0;i<e.size;++i)e.get(i)>=0&&e.get(i)<t&&(a[i*t+e.get(i)]=n);return pt(a,[e.size,t],"int32")},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return this.assertNotComplex(e,"nonMaxSuppression"),Vt(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.fft=function(e){if(1!==e.shape[0])throw new Error("tf.fft() on CPU only supports vectors.");return this.fftImpl(e,!1)},e.prototype.ifft=function(e){if(1!==e.shape[0])throw new Error("tf.ifft() on CPU only supports vectors.");return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var n=e.as1D(),r=n.size;if(this.isExponentOf2(r)){var a=this.fftRadix2(n,r,t).as2D(e.shape[0],e.shape[1]);return t&&(a=ot(st(a).div(ct(r)),ut(a).div(ct(r)))),a}var i=e.dataSync(),o=function(e){for(var t=new Float32Array(e.length/2),n=new Float32Array(e.length/2),r=0;r<e.length;r+=2)t[r/2]=e[r],n[r/2]=e[r+1];return{real:t,imag:n}}(this.fourierTransformByMatmul(i,r,t));return ot(o.real,o.imag).as2D(e.shape[0],e.shape[1])},e.prototype.isExponentOf2=function(e){return 0==(e&e-1)},e.prototype.fftRadix2=function(e,t,n){if(1===t)return e;var r=e.dataSync(),a=t/2,i=function(e){for(var t=Math.ceil(e.length/4),n=new Float32Array(t),r=new Float32Array(t),a=0;a<e.length;a+=4)n[Math.floor(a/4)]=e[a],r[Math.floor(a/4)]=e[a+1];return{real:n,imag:r}}(r),o=ot(i.real,i.imag).as1D(),s=function(e){for(var t=Math.floor(e.length/4),n=new Float32Array(t),r=new Float32Array(t),a=2;a<e.length;a+=4)n[Math.floor(a/4)]=e[a],r[Math.floor(a/4)]=e[a+1];return{real:n,imag:r}}(r),u=ot(s.real,s.imag).as1D();o=this.fftRadix2(o,a,n),u=this.fftRadix2(u,a,n);var l=function(e,t){for(var n=new Float32Array(e/2),r=new Float32Array(e/2),a=0;a<Math.ceil(e/2);a++){var i=(t?2:-2)*Math.PI*(a/e);n[a]=Math.cos(i),r[a]=Math.sin(i)}return{real:n,imag:r}}(t,n),c=ot(l.real,l.imag).mul(u),f=o.add(c),p=o.sub(c),h=st(f).concat(st(p)),d=ut(f).concat(ut(p));return ot(h,d).as1D()},e.prototype.fourierTransformByMatmul=function(e,t,n){for(var r=new Float32Array(2*t),a=0;a<t;a++){for(var i=0,o=0,s=0;s<t;s++){var u=Ft(a*s,t,n),l=Bt(e,s);i+=l.real*u.real-l.imag*u.imag,o+=l.real*u.imag+l.imag*u.real}n&&(i/=t,o/=t),zt(r,i,o,a)}return r},e.prototype.depthToSpace=function(e,t,n){b("NHWC"===n,"Only NHWC dataFormat supported on CPU for depthToSpace. 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this.throwIfDisposed(),te.addStrict(this,e)},e.prototype.atan2=function(e){return this.throwIfDisposed(),te.atan2(this,e)},e.prototype.sub=function(e){return this.throwIfDisposed(),te.sub(this,e)},e.prototype.subStrict=function(e){return this.throwIfDisposed(),te.subStrict(this,e)},e.prototype.pow=function(e){return this.throwIfDisposed(),te.pow(this,e)},e.prototype.powStrict=function(e){return this.throwIfDisposed(),te.powStrict(this,e)},e.prototype.mul=function(e){return this.throwIfDisposed(),te.mul(this,e)},e.prototype.mulStrict=function(e){return this.throwIfDisposed(),te.mulStrict(this,e)},e.prototype.div=function(e){return this.throwIfDisposed(),te.div(this,e)},e.prototype.floorDiv=function(e){return this.throwIfDisposed(),te.floorDiv(this,e)},e.prototype.divStrict=function(e){return this.throwIfDisposed(),te.divStrict(this,e)},e.prototype.minimum=function(e){return this.throwIfDisposed(),te.minimum(this,e)},e.prototype.minimumStrict=function(e){return this.throwIfDisposed(),te.minimumStrict(this,e)},e.prototype.maximum=function(e){return this.throwIfDisposed(),te.maximum(this,e)},e.prototype.maximumStrict=function(e){return this.throwIfDisposed(),te.maximumStrict(this,e)},e.prototype.mod=function(e){return this.throwIfDisposed(),te.mod(this,e)},e.prototype.modStrict=function(e){return this.throwIfDisposed(),te.modStrict(this,e)},e.prototype.squaredDifference=function(e){return this.throwIfDisposed(),te.squaredDifference(this,e)},e.prototype.squaredDifferenceStrict=function(e){return this.throwIfDisposed(),te.squaredDifferenceStrict(this,e)},e.prototype.transpose=function(e){return this.throwIfDisposed(),te.transpose(this,e)},e.prototype.notEqual=function(e){return this.throwIfDisposed(),te.notEqual(this,e)},e.prototype.notEqualStrict=function(e){return this.throwIfDisposed(),te.notEqualStrict(this,e)},e.prototype.less=function(e){return this.throwIfDisposed(),te.less(this,e)},e.prototype.lessStrict=function(e){return this.throwIfDisposed(),te.lessStrict(this,e)},e.prototype.equal=function(e){return this.throwIfDisposed(),te.equal(this,e)},e.prototype.equalStrict=function(e){return this.throwIfDisposed(),te.equalStrict(this,e)},e.prototype.lessEqual=function(e){return this.throwIfDisposed(),te.lessEqual(this,e)},e.prototype.lessEqualStrict=function(e){return this.throwIfDisposed(),te.lessEqualStrict(this,e)},e.prototype.greater=function(e){return this.throwIfDisposed(),te.greater(this,e)},e.prototype.greaterStrict=function(e){return this.throwIfDisposed(),te.greaterStrict(this,e)},e.prototype.greaterEqual=function(e){return this.throwIfDisposed(),te.greaterEqual(this,e)},e.prototype.greaterEqualStrict=function(e){return this.throwIfDisposed(),te.greaterEqualStrict(this,e)},e.prototype.logicalAnd=function(e){return this.throwIfDisposed(),te.logicalAnd(this,e)},e.prototype.logicalOr=function(e){return this.throwIfDisposed(),te.logicalOr(this,e)},e.prototype.logicalNot=function(){return this.throwIfDisposed(),te.logicalNot(this)},e.prototype.logicalXor=function(e){return this.throwIfDisposed(),te.logicalXor(this,e)},e.prototype.where=function(e,t){return this.throwIfDisposed(),te.where(e,this,t)},e.prototype.neg=function(){return this.throwIfDisposed(),te.neg(this)},e.prototype.ceil=function(){return this.throwIfDisposed(),te.ceil(this)},e.prototype.floor=function(){return this.throwIfDisposed(),te.floor(this)},e.prototype.sign=function(){return this.throwIfDisposed(),te.sign(this)},e.prototype.exp=function(){return this.throwIfDisposed(),te.exp(this)},e.prototype.expm1=function(){return this.throwIfDisposed(),te.expm1(this)},e.prototype.log=function(){return this.throwIfDisposed(),te.log(this)},e.prototype.log1p=function(){return this.throwIfDisposed(),te.log1p(this)},e.prototype.sqrt=function(){return this.throwIfDisposed(),te.sqrt(this)},e.prototype.rsqrt=function(){return this.throwIfDisposed(),te.rsqrt(this)},e.prototype.square=function(){return this.throwIfDisposed(),te.square(this)},e.prototype.reciprocal=function(){return this.throwIfDisposed(),te.reciprocal(this)},e.prototype.abs=function(){return this.throwIfDisposed(),te.abs(this)},e.prototype.clipByValue=function(e,t){return this.throwIfDisposed(),te.clipByValue(this,e,t)},e.prototype.relu=function(){return this.throwIfDisposed(),te.relu(this)},e.prototype.elu=function(){return this.throwIfDisposed(),te.elu(this)},e.prototype.selu=function(){return this.throwIfDisposed(),te.selu(this)},e.prototype.leakyRelu=function(e){return void 0===e&&(e=.2),this.throwIfDisposed(),te.leakyRelu(this,e)},e.prototype.prelu=function(e){return this.throwIfDisposed(),te.prelu(this,e)},e.prototype.sigmoid=function(){return this.throwIfDisposed(),te.sigmoid(this)},e.prototype.logSigmoid=function(){return this.throwIfDisposed(),te.logSigmoid(this)},e.prototype.softplus=function(){return this.throwIfDisposed(),te.softplus(this)},e.prototype.zerosLike=function(){return this.throwIfDisposed(),te.zerosLike(this)},e.prototype.onesLike=function(){return this.throwIfDisposed(),te.onesLike(this)},e.prototype.sin=function(){return this.throwIfDisposed(),te.sin(this)},e.prototype.cos=function(){return this.throwIfDisposed(),te.cos(this)},e.prototype.tan=function(){return this.throwIfDisposed(),te.tan(this)},e.prototype.asin=function(){return this.throwIfDisposed(),te.asin(this)},e.prototype.acos=function(){return this.throwIfDisposed(),te.acos(this)},e.prototype.atan=function(){return this.throwIfDisposed(),te.atan(this)},e.prototype.sinh=function(){return this.throwIfDisposed(),te.sinh(this)},e.prototype.cosh=function(){return this.throwIfDisposed(),te.cosh(this)},e.prototype.tanh=function(){return this.throwIfDisposed(),te.tanh(this)},e.prototype.asinh=function(){return this.throwIfDisposed(),te.asinh(this)},e.prototype.acosh=function(){return this.throwIfDisposed(),te.acosh(this)},e.prototype.atanh=function(){return this.throwIfDisposed(),te.atanh(this)},e.prototype.erf=function(){return this.throwIfDisposed(),te.erf(this)},e.prototype.round=function(){return this.throwIfDisposed(),te.round(this)},e.prototype.step=function(e){return void 0===e&&(e=0),this.throwIfDisposed(),te.step(this,e)},e.prototype.softmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),te.softmax(this,e)},e.prototype.logSoftmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),te.logSoftmax(this,e)},e.prototype.resizeBilinear=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),te.image.resizeBilinear(this,e,t)},e.prototype.resizeNearestNeighbor=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),te.image.resizeNearestNeighbor(this,e,t)},e.prototype.conv1d=function(e,t,n,r,a,i){return void 0===r&&(r="NWC"),void 0===a&&(a=1),this.throwIfDisposed(),te.conv1d(this,e,t,n,r,a,i)},e.prototype.conv2d=function(e,t,n,r,a,i){return void 0===r&&(r="NHWC"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),te.conv2d(this,e,t,n,r,a,i)},e.prototype.conv2dTranspose=function(e,t,n,r,a){return this.throwIfDisposed(),te.conv2dTranspose(this,e,t,n,r,a)},e.prototype.depthwiseConv2D=function(e,t,n,r,a,i){return void 0===r&&(r="NHWC"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),te.depthwiseConv2d(this,e,t,n,r,a,i)},e.prototype.separableConv2d=function(e,t,n,r,a,i){return void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC"),this.throwIfDisposed(),te.separableConv2d(this,e,t,n,r,a,i)},e.prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),te.avgPool(this,e,t,n,r)},e.prototype.maxPool=function(e,t,n,r){return this.throwIfDisposed(),te.maxPool(this,e,t,n,r)},e.prototype.localResponseNormalization=function(e,t,n,r){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===n&&(n=1),void 0===r&&(r=.5),te.localResponseNormalization(this,e,t,n,r)},e.prototype.pool=function(e,t,n,r,a){return this.throwIfDisposed(),te.pool(this,e,t,n,r,a)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),ae.variable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),te.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),te.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),te.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),te.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,n,r,a){return void 0===r&&(r=0),void 0===a&&(a=0),this.throwIfDisposed(),te.stridedSlice(this,e,t,n,r,a)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),te.depthToSpace(this,e,t)},e.prototype.fft=function(){return this.throwIfDisposed(),te.spectral.fft(this)},e.prototype.ifft=function(){return this.throwIfDisposed(),te.spectral.ifft(this)},e}();Object.defineProperty(re,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.shape&&null!=e.dtype}});var ae=function(e){function t(t,n,r){void 0===n&&(n=!0);var a=e.call(this,t.shape,t.dtype,null,t.dataId)||this;a.trainable=n,a.name=r,null==a.name&&(a.name=ee().nextVariableId().toString());try{ee().registerVariable(a)}catch(e){throw ee().disposeTensor(a),e}return a}return s(t,e),t.variable=function(e,n,r,a){return void 0===n&&(n=!0),null!=a&&a!==e.dtype&&(e=e.asType(a)),new t(e,n,r)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and previous value ("+this.dtype+") must match");if(!N(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and previous value ("+this.shape+") must match");ee().disposeTensor(this),this.dataId=e.dataId,ee().registerTensor(this)},t}(re);Object.defineProperty(ae,Symbol.hasInstance,{value:function(e){return e instanceof re&&null!=e.assign&&e.assign instanceof Function}});var ie=ae.variable;function oe(e,t){b(e.dtype===t.dtype,"The dtypes of the first("+e.dtype+") and second("+t.dtype+") input must match")}function se(e){var t=[];return function e(t,n,r){if(null!=t)if(t instanceof re)n.push(t);else if(function(e){return Array.isArray(e)||"object"==typeof e}(t)){var a=t;for(var i in a){var o=a[i];r.has(o)||(r.add(o),e(o,n,r))}}}(e,t,new Set),t}var ue,le=function(){function e(e,t,n){this.backend=e,this.safeMode=t,this.debugMode=n,this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numDataBuffers=0,this.profiling=!1,this.gradientScopeCount=0,this.customGradientDepth=0,this.keepTensors=new Set,this.tensorInfo=new WeakMap,this.activeScope={track:[],name:"default scope"},this.scopeStack=[this.activeScope],this.profiler=new G(e),this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.moveData=function(e){this.write(e,this.readSync(e))},e.prototype.tidy=function(e,t,n){var r=this;void 0===n&&(n=!1);var a,i=null;if(null==t){if("function"!=typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!=typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");i=e}return this.scopedRun(function(){return r.startScope(i,n)},function(){return r.endScope(a,n)},function(){return(a=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a})},e.prototype.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},e.prototype.nextTensorId=function(){return e.nextTensorId++},e.prototype.nextVariableId=function(){return e.nextVariableId++},e.prototype.runKernel=function(e,t,n){var r,a=this,i=[],o=function(e){return i.push(e),e},s=this.activeScope.name,u=this.numBytes,l=this.numTensors;if(this.scopedRun(function(){return a.customGradientDepth++},function(){return a.customGradientDepth--},function(){r=a.debugMode()?a.profiler.profileKernel(s,function(){return e(a.backend,o)}):e(a.backend,o)}),this.shouldRecord()){var c={id:this.nextTapeNodeId++,name:s,inputs:t,outputs:Array.isArray(r)?r:[r]};null!=n&&(c.gradient=function(e){return n(e,i)}),this.activeTape.push(c)}return this.profiling&&this.activeProfile.kernels.push({name:s,bytesAdded:this.numBytes-u,totalBytesSnapshot:this.numBytes,tensorsAdded:this.numTensors-l,totalTensorsSnapshot:this.numTensors,inputShapes:Object.keys(t).map(function(e){return t[e].shape}),outputShape:Array.isArray(r)?r.map(function(e){return e.shape}):r.shape}),r},e.prototype.registerTensor=function(e){var t=this.tensorInfo.has(e.dataId)?this.tensorInfo.get(e.dataId).refCount:0;this.numTensors++,0===t&&(this.numDataBuffers++,"complex64"!==e.dtype&&(this.numBytes+=E(e.shape)*L(e.dtype)),this.tensorInfo.set(e.dataId,{backend:this.backend,dtype:e.dtype,shape:e.shape,refCount:0}),this.backend.register(e.dataId,e.shape,e.dtype)),this.tensorInfo.get(e.dataId).refCount++,e instanceof ae||this.track(e)},e.prototype.registerVariable=function(e){if(null!=this.registeredVariables[e.name])throw new Error("Variable with name "+e.name+" was already registered");this.registeredVariables[e.name]=e},e.prototype.disposeTensor=function(e){this.tensorInfo.has(e.dataId)&&(this.keepTensors.has(e.id)&&this.keepTensors.delete(e.id),this.numTensors--,this.tensorInfo.get(e.dataId).refCount<=1?(this.tensorInfo.get(e.dataId).backend.disposeData(e.dataId),this.numDataBuffers--,"complex64"!==e.dtype&&(this.numBytes-=E(e.shape)*L(e.dtype)),this.tensorInfo.delete(e.dataId)):this.tensorInfo.get(e.dataId).refCount--)},e.prototype.disposeVariables=function(){for(var e in this.registeredVariables){var t=this.registeredVariables[e];this.disposeTensor(t),delete this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.profile=function(e){return l(this,void 0,void 0,function(){var t,n;return c(this,function(r){return this.profiling=!0,t=this.numBytes,n=this.numTensors,this.activeProfile.kernels=[],this.activeProfile.result=e(),this.profiling=!1,this.activeProfile.peakBytes=Math.max.apply(Math,this.activeProfile.kernels.map(function(e){return e.totalBytesSnapshot})),this.activeProfile.newBytes=this.numBytes-t,this.activeProfile.newTensors=this.numTensors-n,[2,this.activeProfile]})})},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,n){var r={};e.forEach(function(e,t){r[t]=e});var a={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:r,outputs:[t],gradient:function(e){var t={};return n(e).forEach(function(e,n){t[n]=function(){return e}}),t}};this.activeTape.push(a)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error("Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.");return this.keepTensors.add(e.id),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var n={track:[],name:"unnamed scope"};e&&(n.name=e),this.scopeStack.push(n),this.activeScope=n},e.prototype.endScope=function(e,t){var n=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var r=new Set(this.keepTensors),a=se(e);a.forEach(function(e){return r.add(e.id)});for(var i=0;i<this.activeScope.track.length;i++){var o=this.activeScope.track[i];r.has(o.id)||(null!=this.activeTape?a.push(o):o.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?{track:[],name:"default scope"}:this.scopeStack[this.scopeStack.length-1],a.forEach(function(e){!n.keepTensors.has(e.id)&&function(e,t){for(var n=0;n<t.length;n++)if(t[n].id===e.id)return!0;return!1}(e,s.track)&&n.track(e)})},e.prototype.gradients=function(e,t,n,r){var a=this;return void 0===r&&(r=!1),b(t.length>0,"gradients() received an empty list of xs."),this.tidy("gradients",function(){var i=e();b(i instanceof re,"The result y returned by f() must be a tensor.");var o=function(e,t,n){for(var r={},a={},i=0;i<t.length;i++)r[t[i].id]=!0;for(i=0;i<e.length;i++){var o=(d=e[i]).inputs;for(var s in o){for(var u=o[s],l=!1,c=0;c<t.length;c++)if(r[u.id]){d.outputs.forEach(function(e){return r[e.id]=!0}),l=!0,a[d.id]=!0;break}if(l)break}}var f={};f[n.id]=!0;var p={};for(i=e.length-1;i>=0;i--)for(o=(d=e[i]).inputs,c=0;c<d.outputs.length;c++)if(f[d.outputs[c].id]){for(var s in o)f[o[s].id]=!0,p[d.id]=!0;break}var h=[];for(i=0;i<e.length;i++){var d;if(a[(d=e[i]).id]&&p[d.id]){var m={};for(var s in d.inputs){var g=d.inputs[s];r[g.id]&&(m[s]=g)}var y=Object.assign({},d);y.inputs=m,y.outputs=d.outputs,h.push(y)}}return h}(a.activeTape,t,i);if(!r&&0===o.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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implemented")},e.prototype.ifft=function(e){throw new Error("Not yet implemented")},e.prototype.complex=function(e,t){throw new Error("Not yet implemented")},e.prototype.real=function(e){throw new Error("Not yet implemented")},e.prototype.imag=function(e){throw new Error("Not yet implemented")},e.prototype.cropAndResize=function(e,t,n,r,a,i){throw new Error("Not yet implemented")},e.prototype.depthToSpace=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.split=function(e,t,n){throw new Error("Not yet implemented")},e.prototype.sparseToDense=function(e,t,n,r){throw new Error("Not yet implemented")},e.prototype.setDataMover=function(e){throw new Error("Not yet implemented")},e.prototype.dispose=function(){throw new Error("Not yet implemented")},e}();function Dt(e,t,n){if("complex64"===t){if("complex64"===e.dtype)return e.clone();var r=vt(e.shape),a=e.toFloat(),i=n.complex(a,r);return r.dispose(),a.dispose(),i}if(!D(e.dtype,t))return re.make(e.shape,{dataId:e.dataId},t);if("complex64"===e.dtype){var o=n.real(e);return i=o.cast(t),o.dispose(),i}if("int32"===t)return n.int(e);if("bool"===t){var s=ct(0,e.dtype);return i=n.notEqual(e,s),s.dispose(),i}throw new Error("Error in Cast: unknown dtype argument ("+t+")")}function jt(e,t){return re.make(t,{dataId:e.dataId},e.dtype)}function Lt(e,t){if(e.length!==t.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+e.length+", imag: "+t.length+".");for(var n=new Float32Array(2*e.length),r=0;r<n.length;r+=2)n[r]=e[r/2],n[r+1]=t[r/2];return n}function Bt(e,t){return{real:e[2*t],imag:e[2*t+1]}}function zt(e,t,n,r){e[2*r]=t,e[2*r+1]=n}function Ft(e,t,n){var r=(n?2:-2)*Math.PI*(e/t);return{real:Math.cos(r),imag:Math.sin(r)}}function Vt(e,t,n,r,a){for(var i=Array.from(t).map(function(e,t){return{score:e,boxIndex:t}}).filter(function(e){return e.score>a}).sort(function(e,t){return t.score-e.score}),o=[],s=0;s<i.length;s++){var u=i[s],l=u.score,c=u.boxIndex;if(l<a)break;for(var f=!1,p=o.length-1;p>=0;--p)if(Ut(e,c,o[p])>=r){f=!0;break}if(!f&&(o.push(c),o.length>=n))break}return ft(o,"int32")}function Ut(e,t,n){var r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(a[0],a[2]),c=Math.min(a[1],a[3]),f=Math.max(a[0],a[2]),p=Math.max(a[1],a[3]),h=(s-i)*(u-o),d=(f-l)*(p-c);if(h<=0||d<=0)return 0;var m=Math.max(i,l),g=Math.max(o,c),y=Math.min(s,f),v=Math.min(u,p),b=Math.max(y-m,0)*Math.max(v-g,0);return b/(h+d-b)}function Wt(e,t,n){var r=Array(e.rank).fill(0),a=e.shape.slice();return t.map(function(t){a[n]=t;var i=e.slice(r,a);return r[n]+=t,i})}function qt(e,t,n,r,a){for(var i=t[t.length-1],o=[e.length/i,i],s=o[0],u=o[1],l=T(n,s*r),c=T("int32",s*r),f=0;f<s;f++){for(var p=f*u,h=e.subarray(p,p+u),d=[],m=0;m<h.length;m++)d.push({value:h[m],index:m});d.sort(function(e,t){return t.value-e.value});var g=f*r,y=l.subarray(g,g+r),v=c.subarray(g,g+r);for(m=0;m<r;m++)y[m]=d[m].value,v[m]=d[m].index}var b=t.slice();return b[b.length-1]=r,[lt(l,b,n),lt(c,b,"int32")]}function $t(e,t){for(var n=e.length,r=[],a=0;a<n;a++){var i=n-1-a,o=e[i]||1;(t[t.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function Gt(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],i=t.length-r-1,o=t[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function Ht(e,t){for(var n=[],r=Math.max(e.length,t.length),a=0;a<r;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");n.unshift(i)}}return n}var Kt=function(e,t,n,r,a,i){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=["x","mean","variance"],Ht(e,t),Ht(e,n);var o="0.0";null!=r&&(Ht(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(Ht(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},Xt=function(e,t,n,r,a,i){this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.variableNames=["x","mean","variance"],Ht(e,t),Ht(e,n);var o=Yt("mean",t.length),s=Yt("variance",n.length),u="vec4 offset = vec4(0.0)";null!=r&&(Ht(e,r),this.variableNames.push("offset"),u=Yt("offset",r.length));var l="vec4 scale = vec4(1.0)";null!=a&&(Ht(e,a),this.variableNames.push("scale"),l=Yt("scale",a.length)),this.outputShape=e,this.userCode="\n      void main() {\n        ivec4 rc = getOutputCoords();\n\n        "+u+";\n        "+l+";\n\n        vec4 x = getX(rc.x, rc.y, rc.z, rc.w);\n        "+o+";\n        "+s+";\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+i+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "};function Yt(e,t){var n="get"+e.charAt(0).toUpperCase()+e.slice(1);return 1===t?"\n      vec4 "+e+"Sample = "+n+"(rc.w);\n      vec4 "+e+" = vec4("+e+"Sample.xy, "+e+"Sample.xy);\n    ":"vec4 "+e+" = "+n+"(rc.x, rc.y, rc.z, rc.w)"}var Jt=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.supportsBroadcasting=!0,this.outputShape=Ht(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},Zt="return a + b;",Qt="return a - b;",en=function(){function e(e,t,n){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.outputShape=Ht(t,n),this.userCode="\n      uniform float NAN;\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,"NAN"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}();function tn(e,t,n){void 0===n&&(n="index");var r=F(t);return r.map(function(t,a){return"int "+e[a]+" = "+n+" / "+t+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * "+t:"index -= "+e[a]+" * "+t)+";"}).join("")}function nn(e){return 1===e.length?""+e[0]:"vec"+e.length+"("+e.join(",")+")"}function rn(e,t,n,r,a){var i=e.map(function(e){var t=E(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?"uniform float "+e.name+(t>1?"["+t+"]":"")+";":"uniform sampler2D "+e.name+";"});i=i.join("\n");var o,s,u=e.map(function(e){return function(e,t,n){var r=function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1)+"Flat",r=E(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?"float "+n+"(int index) {return "+t+";}":"\n      float "+n+"(int index) {\n        for (int i = 0; i < "+r+"; i++) {\n          if (i == index) {\n            return "+t+"[i];\n          }\n        }\n      }\n    ";var a=e.shapeInfo.texShape,i=a[0],o=a[1];return 1===o&&1===i?"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR);\n      }\n    ":1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / "+i+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index) + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = UVfrom1D("+i+", "+o+", index);\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);return e.shapeInfo.isPacked?r+=function e(t){var n=t.shapeInfo.logicalShape;switch(n.length){case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+a[0]+", "+a[1]+", index);\n      return texture2D("+t+", uv);\n    }\n  "}(t);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=a[0],o=a[1];if(null!=a&&N(t,a))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n\n        return texture2D("+n+", uv);\n      }\n    ";var s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(t[1]/2)+", "+s[0]+", "+s[1]+", row, col);\n      return texture2D("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(1===n[0])return"\n        "+e(fn(t,n.slice(1)))+"\n        vec4 "+a+"(int b, int row, int col) {\n          return "+a+"("+pn(["b","row","col"],[1,2])+");\n        }\n      ";var s=o[0],u=o[1],l=Math.ceil(n[2]/2);return"\n    vec4 "+a+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+s+", "+u+", "+l*Math.ceil(n[1]/2)+", "+l+", b, row, col);\n      return texture2D("+r+", uv);\n    }\n  "}(t);case 4:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],o=i[0],s=i[1],u=Math.ceil(t[3]/2),l=u*Math.ceil(t[2]/2);return"\n    vec4 "+r+"(int b2, int b, int row, int col) {\n      vec2 uv = packedUVfrom4D(\n        "+o+", "+s+", "+l*t[1]+",\n        "+l+", "+u+", b2, b, row, col);\n      return texture2D("+n+", uv);\n    }\n  "}(t);default:throw new Error("Packed "+n.length+"-D input sampling is not yet supported")}}(e):r+=function e(t){var n=t.shapeInfo.logicalShape;switch(n.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?"float "+n+"() {return "+t+";}":"\n    float "+n+"() {\n      return sampleTexture("+t+", halfCR);\n    }\n  "}(t);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return"\n    float "+n+"(int index) {\n      return "+n+"Flat(index);\n    }\n  "}(t);case 2:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape;if(null!=i&&N(n,i)){var o=i[0];return"\n    float "+a+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var s=A(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n      "+e(fn(t,c))+"\n      float "+a+"(int row, int col) {\n        return "+a+"("+pn(["row","col"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col) {\n        float index = dot(vec2(row, col), vec2("+n[1]+", 1));\n        return "+a+"Flat(round(index));\n      }\n    ";var f=i[0],p=i[1];return 1===p?"\n    float "+a+"(int row, int col) {\n      float index = dot(vec2(row, col), vec2("+n[1]+", 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===f?"\n    float "+a+"(int row, int col) {\n      float index = dot(vec2(row, col), vec2("+n[1]+", 1));\n      vec2 uv = vec2((index + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+a+"(int row, int col) {\n    vec2 uv = UVfrom2D("+f+", "+p+", "+n[1]+", row, col);\n    return sampleTexture("+r+", uv);\n  }\n"}(t);case 3:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=A(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n        "+e(fn(t,c))+"\n        float "+a+"(int row, int col, int depth) {\n          return "+a+"("+pn(["row","col","depth"],l)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth) {\n        float index = dot(vec3(row, col, depth),\n                          vec3("+i+", "+o+", 1));\n        return "+a+"Flat(round(index));\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===i?"\n        float "+a+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+o+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+h+".0, "+p+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ":h===o?"\n    float "+a+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+n[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n      float "+a+"(int row, int col, int depth) {\n        vec2 uv = UVfrom3D(\n            "+p+", "+h+", "+i+", "+o+", row, col, depth);\n        return sampleTexture("+r+", uv);\n      }\n  "}(t);case 4:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=A(n),l=u.newShape,c=u.keptDims;if(l.length<n.length)return"\n      "+e(fn(t,l))+"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        return "+a+"("+pn(["row","col","depth","depth2"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float index = dot(vec4(row, col, depth, depth2),\n                          vec4("+s+", "+o+", "+i+", 1));\n        return "+a+"Flat(round(index));\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===s?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2), vec3("+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":h===i?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+n[1]*n[2]+", "+n[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      vec2 uv = UVfrom4D("+p+", "+h+", "+s+", "+o+",\n          "+i+", row, col, depth, depth2);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 5:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[4],o=n[3]*i,s=n[2]*o,u=n[1]*s,l=A(n),c=l.newShape,f=l.keptDims;if(c.length<n.length)return"\n      "+e(fn(t,c))+"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+a+"("+pn(["row","col","depth","depth2","depth3"],f)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+u+", "+s+", "+o+", "+i+")) +\n          depth3;\n        return "+a+"Flat(index);\n      }\n    ";var p=t.shapeInfo.texShape,h=p[0],d=p[1];return d===u?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(\n          vec4(col, depth, depth2, depth3),\n          vec4("+s+", "+o+", "+i+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":d===i?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]+", "+n[2]*n[3]+",\n            "+n[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n      vec2 uv = UVfrom5D("+h+", "+d+", "+u+", "+s+",\n          "+o+", "+i+", row, col, depth, depth2, depth3);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 6:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[5],o=n[4]*i,s=n[3]*o,u=n[2]*s,l=n[1]*u,c=A(n),f=c.newShape,p=c.keptDims;if(f.length<n.length)return"\n      "+e(fn(t,f))+"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+a+"("+pn(["row","col","depth","depth2","depth3","depth4"],p)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+l+", "+u+", "+s+", "+o+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+i+", 1));\n        return "+a+"Flat(index);\n      }\n    ";var h=t.shapeInfo.texShape,d=h[0],m=h[1];return m===l?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(\n          vec4(col, depth, depth2, depth3),\n          vec4("+u+", "+s+", "+o+", "+i+")) + depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":m===i?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+n[1]*n[2]*n[3]*n[4]+",\n               "+n[2]*n[3]*n[4]+",\n               "+n[3]*n[4]+",\n               "+n[4]+")) + depth3;\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      vec2 uv = UVfrom6D("+d+", "+m+", "+l+", "+u+",\n          "+s+", "+o+", "+i+"\n          ,row, col, depth, depth2, depth3, depth4);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);default:throw new Error(n.length+"-D input sampling is not yet supported")}}(e),(n||N(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=function(e,t,n){var r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=$t(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||o.length>0),c=function(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}(o),f=e.shapeInfo.isUniform;if(l&&!c)return function(e,t,n,r){var a=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o="int";2===i?o="ivec2":3===i?o="ivec3":4===i&&(o="ivec4");var s=$t(e.shapeInfo.logicalShape,t.logicalShape),u=i-a;return"\n    float "+r+"() {\n      "+o+" coords = getOutputCoords();\n      "+(0===a?"":i<2&&s.length>=1?"coords = 0;":s.map(function(e){return"coords["+(e+u)+"] = 0;"}).join("\n"))+"\n      return get"+n+"("+(i<2&&a>0?"coords":e.shapeInfo.logicalShape.map(function(e,t){return"coords["+(t+u)+"]"}).join(", "))+");\n    }\n  "}(e,t,a,i);var p=E(e.shapeInfo.logicalShape),h="";l&&c&&(h="\n        int mainPart = index / "+p+";\n        index -= mainPart * "+p+";\n      ");var d=t.texShape;if(f)return 1===p?"float "+i+"() {return "+r+";}":"\n      float "+i+"() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                              vec2("+d[0]+", "+d[1]+"));\n        int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n        "+h+"\n        return get"+a+"Flat(index);\n      }\n    ";var m=e.shapeInfo.texShape;return N(m,d)?"\n      float "+i+"() {\n        return sampleTexture("+r+", resultUV);\n      }\n    ":"\n    float "+i+"() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+d[0]+", "+d[1]+"));\n      int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n      "+h+"\n      int texR = index / "+m[1]+";\n      int texC = index - texR * "+m[1]+";\n      vec2 uv = (vec2(texC, texR) + halfCR) /\n                 vec2("+m[1]+".0, "+m[0]+".0);\n\n      return sampleTexture("+r+", uv);\n    }\n  "}(e,t,n)),r}(e,t,r)}).join("\n"),l=t.texShape,c=un;return t.isPacked?(o=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===t[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return resTexRC.x * "+n[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(N(e,t))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(e[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  "}(e,t);case 4:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[3]/2),a=r*Math.ceil(e[2]/2),i=a*e[1];return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      int b2 = index / "+i+";\n      index -= b2 * "+i+";\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec4(b2, b, r, c);\n    }\n  "}(e,t);default:throw new Error(e.length+"-D packed output coordinate fetching is not yet supported")}}(t.logicalShape,l),s=sn):(o=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){return 1===t[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){return N(e,t)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ":1===e[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===e[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return function(e,t){var n=tn(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+n+"\n      return ivec3(r, c, d);\n    }\n  "}(e,t);case 4:return function(e,t){var n=tn(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=tn(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=tn(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}}(t.logicalShape,l),s=on),a&&(c+=ln),[c,an,s,i,o,u,n].join("\n")}var an="\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\n    return texture2D(textureSampler, uv).r;\n  }\n",on="\n  void setOutput(float val) {\n    gl_FragColor = vec4(val, 0, 0, 0);\n  }\n",sn="\n  void setOutput(vec4 val) {\n    gl_FragColor = val;\n  }\n",un="\n  precision highp float;\n  precision highp int;\n  varying vec2 resultUV;\n  const vec2 halfCR = vec2(0.5, 0.5);\n\n  struct ivec5\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n  };\n\n  struct ivec6\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n    int v;\n  };\n\n  bool isNaN(float val) {\n    return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;\n  }\n\n  bool hasNaN(vec4 values) {\n    vec4 v1 = values * values;\n    vec4 v2 = values * values;\n    return any(notEqual(v1, v2));\n  }\n\n  float getNaN(vec4 values) {\n    return dot(vec4(1), values);\n  }\n\n  int round(float value) {\n    return int(floor(value + 0.5));\n  }\n\n  int imod(int x, int y) {\n    return x - y * (x / y);\n  }\n\n  //Based on the work of Dave Hoskins\n  //https://www.shadertoy.com/view/4djSRW\n  #define HASHSCALE1 443.8975\n  float random(float seed){\n    vec2 p = resultUV * seed;\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n    p3 += dot(p3, p3.yzx + 19.19);\n    return fract((p3.x + p3.y) * p3.z);\n  }\n\n  \nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\n  int index = row * numC + col;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\n    int stride1, int row, int col, int depth) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int row, int col, int depth,\n    int depth2) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom4D(int texNumR, int texNumC, int texelsInBatch2,\n    int texelsInBatch, int texelsInLogicalRow, int b2, int b,\n    int row, int col) {\n  int index = b2 * texelsInBatch2 + b * texelsInBatch +\n    (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int row, int col, int depth,\n    int depth2, int depth3) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 +\n              depth * stride2 + depth2 * stride3 + depth3;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int stride4,\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\n    stride3 + depth3 * stride4 + depth4;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n",ln="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function cn(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function fn(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function pn(e,t){return t.map(function(t){return e[t]}).join(", ")}function hn(e,t){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}var dn,mn,gn=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+t+";\n      int offset_h = imod(h, "+t+");\n      int in_w = w / "+t+";\n      int offset_w = imod(w, "+t+");\n      int offset_d = (offset_h * "+t+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return e.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},e.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},e.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},e.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}(),yn=function(e,t,n){this.variableNames=["real","imag"];var r=t[1];this.outputShape=t;var a=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,i=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+a+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+e+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+i+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "};function vn(e,t){return[t,e]}function 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this.throwIfDisposed(),lr(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),hr(this.gl,e,t)},e.prototype.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),fr(this.gl,e,t,this.textureConfig)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),cr(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(Hn(this.gl,this.framebuffer),this.outputTexture=null),En(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,n,r){this.throwIfDisposed();var a=Ln();return mr(this.gl,e,t,n,r,a,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,n,r,a){return this.throwIfDisposed(),gr(this.gl,e,t,n,r,a,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return br(r.gl,t,n,r.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return wr(r.gl,t,n,r.textureConfig)})},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t,n){return vr(this.gl,e,t,n,this.textureConfig)},e.prototype.maybeCreateBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=yr(this.gl,e,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,n,r=this;if(ve.get("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n,r,a,i){var o=this;return this.downloadMatrixDriver(e,function(){return xr(o.gl,t,n,r,a,i,o.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=Pn(t,e),r=nr(t),a=Tn(t);return En(t,function(){return t.attachShader(a,r)}),En(t,function(){return t.attachShader(a,n)}),Mn(t,a),this.autoDebugValidate&&Rn(t,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=pr(t,this.program,this.vertexBuffer)),a},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&En(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&Rn(this.gl,this.program),En(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?Wn(this.gl,e,t):qn(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),En(this.gl,function(){return n.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),$n(this.gl,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=xn(t,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},e.prototype.debugValidate=function(){null!=this.program&&Rn(this.gl,this.program),Kn(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),En(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),En(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=In(this.gl,2===ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},e.prototype.endQuery=function(){if(2!==ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return l(this,void 0,void 0,function(){var t=this;return c(this,function(n){switch(n.label){case 0:return[4,C(function(){return t.disposed||t.isQueryAvailable(e,ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(e,ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}return a=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise(function(n){t.addItemToPoll(function(){return e.isFencePassed()},function(){return n()})})},e.prototype.pollItems=function(){for(var e=function(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var a=t+n>>1;e[a]()?(r=a,t=a+1):n=a-1}return r}(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t)(0,this.itemsToPoll[t].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||C(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),Gn(this.gl,e,this.framebuffer),this.autoDebugValidate&&Kn(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Gn(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&Kn(this.gl)):Hn(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;Gn(r,e,this.framebuffer),this.autoDebugValidate&&Kn(r),this.outputTexture=e,En(r,function(){return r.viewport(0,0,t,n)}),En(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),En(this.gl,function(){return a.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},e}();function Nr(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach(function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!N(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!N(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var Sr=function(e,t,n,r,a){void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["matrixA","matrixB"],this.usesPackedTextures=!0,this.outputShape=n;var i=r?e[0]:e[1],o=Math.ceil(i/2),s=r?"i * 2, rc.x":"rc.x, i * 2",u=a?"rc.y, i * 2":"i * 2, rc.y",l=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],c=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];this.userCode="\n      const float sharedDimension = "+o+".0;\n\n      vec4 dot2x2ARowBCol(ivec2 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+o+"; i++) {\n          vec4 a = getMatrixA("+s+");\n          vec4 b = getMatrixB("+u+");\n\n          result += ("+l[0]+" * "+c[0]+") + ("+l[1]+" * "+c[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec2 rc = getOutputCoords();\n        setOutput(dot2x2ARowBCol(rc));\n      }\n    "},Or=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(t-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(t-1)+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}();function kr(e,t){return 1===t?[e]:function(e,t){return["x","y","z","w","u","v"].slice(0,t).map(function(t){return e+"."+t})}(e,t)}var Ir=function(e,t,n){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var r=e.filterWidth,a=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,s=e.dilationWidth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var p="avg"===t,h="0.0";if(p||(h="-1.0 / 0.0"),n)this.userCode="\n        const ivec2 strides = ivec2("+a+", "+i+");\n        const ivec2 pads = ivec2("+c+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+o+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+l+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var d=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(d="avgValue / count");var m=4*Math.floor(r/4),g=r%4,y="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+a+", "+i+");\n      const ivec2 pads = ivec2("+c+", "+f+");\n      const float initializationValue = "+h+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+h+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+o+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+m+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+y+"\n          }\n\n          int xC = xCCorner + "+m+";\n          if ("+(1===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+y+"\n          } else if ("+(2===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+y+"\n          } else if ("+(3===g)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+y+"\n          }\n        }\n        setOutput("+d+");\n      }\n    "}},Cr=function(e,t,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=cn(a.length),u=cn(i.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",f="";1===r?f="i":2===r&&(f="i, coords[1]");var p="getUpdates("+f+")",h=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+a+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+h+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+p+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},Pr=function(){function e(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t=cn(this.rank),n=function(e){if(1===e)return"sourceLoc";if(2===e)return"sourceLoc.x, sourceLoc.y";if(3===e)return"sourceLoc.x, sourceLoc.y, sourceLoc.z";if(4===e)return"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w";throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);this.userCode="\n      uniform "+t+" start;\n\n      void main() {\n        "+t+" sourceLoc = start + getOutputCoords();\n        setOutput(getSource("+n+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){if(null!=t.startLoc||(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null!=t.startLoc))if(1===t.rank)n.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)n.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)n.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error("Slicing for rank "+t.rank+" is not yet supported");n.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}(),Ar=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t,n){var r,a=Tr(t,n),i=Mr(e,a,n);if(i in this.freeTextures||(this.freeTextures[i]=[]),i in this.usedTextures||(this.usedTextures[i]=[]),this.freeTextures[i].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[i].shift();return this.usedTextures[i].push(o),o}return this.numUsedTextures++,this.log(),a===mn.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===mn.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===mn.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===mn.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===mn.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[i].push(r),r},e.prototype.releaseTexture=function(e,t,n,r){if(null!=this.freeTextures){var a=Mr(t,Tr(n,r),r);a in this.freeTextures||(this.freeTextures[a]=[]),this.freeTextures[a].push(e),this.numFreeTextures++,this.numUsedTextures--;var i=this.usedTextures[a],o=i.indexOf(e);if(o<0)throw new Error("Cannot release a texture that was never provided by this texture manager");i.splice(o,1),this.log()}},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / 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Please use float32 or int32 tensors.");if(l<0||f>255)throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but got range ["+l+" - "+f+"].")}return[4,n.data()];case 3:for(p=c.sent(),h="float32"===n.dtype?255:1,d=new Uint8ClampedArray(i*a*4),m=0;m<a*i;++m)g=void 0,y=void 0,v=void 0,b=void 0,1===o?(g=p[m]*h,y=p[m]*h,v=p[m]*h,b=255):3===o?(g=p[3*m]*h,y=p[3*m+1]*h,v=p[3*m+2]*h,b=255):4===o&&(g=p[4*m]*h,y=p[4*m+1]*h,v=p[4*m+2]*h,b=p[4*m+3]*h),d[0+(w=4*m)]=Math.round(g),d[w+1]=Math.round(y),d[w+2]=Math.round(v),d[w+3]=Math.round(b);return null!=t&&(t.width=i,t.height=a,x=t.getContext("2d"),_=new ImageData(d,i,a),x.putImageData(_,0,0)),n!==e&&n.dispose(),[2,d]}})})}function na(e,t,n){return void 0===t&&(t="float32"),new Q(e,t,n)}function ra(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}var aa=rt({batchToSpaceND_:function(e,t,n){var r=tt(e,"x","batchToSpaceND"),a=t.reduce(function(e,t){return e*t});return b(r.rank>=1+t.length,"input rank is "+r.rank+" but should be > than blockShape.length "+t.length),b(n.length===t.length,"crops.length is "+n.length+" but should be equal to blockShape.length  "+t.length),b(r.shape[0]%a==0,"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+t.join(" * ")+" === "+a),ve.engine.runKernel(function(e){return e.batchToSpaceND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.spaceToBatchND(t,n)}}})}}),ia=rt({cast_:function(e,t){var n=tt(e,"x","cast");return ve.engine.runKernel(function(e){return e.cast(n,t)},{$x:n},function(e){return{$x:function(){return e.clone()}}})}}),oa=rt({clone_:function(e){var t=tt(e,"x","clone");return ve.engine.runKernel(function(e){return re.make(t.shape,{dataId:t.dataId},t.dtype)},{$x:t},function(e){return{$x:function(){return e.toFloat()}}})}}),sa=rt({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a=tt(e,"x","cumsum"),i=We([t|=0],a.rank),o=a;null!=i&&(o=a.transpose(i));var s=$e(1,a.rank)[0],u=ve.engine.runKernel(function(e){return e.cumsum(o,s,n,r)},{permutedX:o},function(e){return{permutedX:function(){return e.cumsum(t,n,!r)}}});return null!=i&&(u=u.transpose(i)),u}}),ua=rt({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=tt(e,"x","depthToSpace"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];return b(a*t>=0,"Negative dimension size caused by overflow when multiplying\n      "+a+" and "+t+"  for depthToSpace with input shape\n      "+r.shape),b(i*t>=0,"Negative dimension size caused by overflow when multiplying\n      "+i+" and "+t+" for depthToSpace with input shape\n          "+r.shape),b(o%(t*t)==0,"Dimension size must be evenly divisible by "+t*t+" but is "+o+" for depthToSpace with input shape "+r.shape),ve.engine.runKernel(function(e){return e.depthToSpace(r,t,n)},{$x:r})}}),la=rt({expandDims_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","expandDims");b(t<=n.rank,"Axis must be <= rank of the tensor");var r=n.shape.slice();return t<0&&(b(-(n.rank+1)<=t,"Axis must be in the interval ["+-(n.rank+1)+", "+n.rank+"]"),t=n.rank+t+1),r.splice(t,0,1),_a(n,r)}}),ca=rt({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=na([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=a.toTensor().as2D(e,t);if(null==n)return s;if(1===n.length)return Oa(la(s,0),[n[0],1,1]);if(2===n.length)return Oa(la(la(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return Oa(la(la(la(s,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D batchShapes, but received "+n.length+"D.")}}),fa=rt({fromPixels_:function(e,t){if(void 0===t&&(t=3),t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");return ve.engine.fromPixels(e,t)}}),pa=rt({multinomial_:function(e,t,n,r){void 0===r&&(r=!1);var a=tt(e,"logits","multinomial"),i=a.size,o=a.rank;if(i<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+i+".");if(o>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+o);n=n||Math.random();var s=1===o?a.as2D(1,-1):a,u=ve.engine.runKernel(function(e){return e.multinomial(s,r,t,n)},{logits2D:s});return 1===o?u.as1D():u}}),ha=rt({oneHot_:function(e,t,n,r){void 0===n&&(n=1),void 0===r&&(r=0);var a=tt(e,"indices","oneHot","int32");if(b("int32"===a.dtype,"Indices must be of dtype `int32`"),t<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+t);return ve.engine.runKernel(function(e){return e.oneHot(a,t,n,r)},{$indices:a},function(e){return{$indices:function(){return Ct(a)}}})}}),da=rt({pad_:function(e,t,n){void 0===n&&(n=0);var r=tt(e,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var a=t.map(function(e){return e[0]});return ve.engine.runKernel(function(e){return e.pad(r,t,n)},{$x:r},function(e){return{$x:function(){return e.slice(a,r.shape)}}})}}),ma=rt({pad1d_:function(e,t,n){return void 0===n&&(n=0),b(2===t.length,"Invalid number of paddings. Must be length of 2."),da(e,[t],n)}}),ga=rt({pad2d_:function(e,t,n){return void 0===n&&(n=0),b(2===t.length&&2===t[0].length&&2===t[1].length,"Invalid number of paddings. Must be length of 2 each."),da(e,t,n)}}),ya=rt({pad3d_:function(e,t,n){return void 0===n&&(n=0),b(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,"Invalid number of paddings. Must be length of 2 each."),da(e,t,n)}}),va=rt({pad4d_:function(e,t,n){return void 0===n&&(n=0),b(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,"Invalid number of paddings. Must be length of 2 each."),da(e,t,n)}}),ba=rt({rand_:function(e,t,n){var r=E(e),a=null;if(null==n||"float32"===n)a=new Float32Array(r);else if("int32"===n)a=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);a=new Uint8Array(r)}for(var i=0;i<r;i++)a[i]=t();return re.make(e,{values:a},n)}}),wa=rt({randomNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new ea(t,n,r,!1,a),o=na(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),xa=rt({randomUniform_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=1),void 0===r&&(r="float32");for(var a=na(e,r),i=0;i<a.values.length;i++)a.values[i]=v(t,n);return a.toTensor()}}),_a=rt({reshape_:function(e,t){var n=tt(e,"x","reshape");return t=P(t,n.size),b(n.size===E(t),"new shape and old shape must have the same number of elements."),ve.engine.runKernel(function(e){return e.reshape(n,t)},{$x:n},function(e){return{$x:function(){return e.reshape(n.shape)}}})}}),Ea=rt({spaceToBatchND_:function(e,t,n){var r=tt(e,"x","spaceToBatchND");return b(r.rank>=1+t.length,"input rank "+r.rank+" should be > than [blockShape] "+t.length),b(n.length===t.length,"paddings.shape[0] "+n.length+" must be equal to [blockShape] "+t.length),b(r.shape.reduce(function(e,r,a){return a>0&&a<=t.length?e&&(r+n[a-1][0]+n[a-1][1])%t[a-1]==0:e},!0),"input spatial dimensions "+r.shape.slice(1)+" with paddings "+n.toString()+" must be divisible by blockShapes "+t.toString()),ve.engine.runKernel(function(e){return e.spaceToBatchND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.batchToSpaceND(t,n)}}})}}),Na=rt({squeeze_:function(e,t){var n=tt(e,"x","squeeze");return _a(n,A(n.shape,t).newShape)}}),Sa=rt({stack_:function(e,t){void 0===t&&(t=0);var n=nt(e,"tensors","stack");if(b(n.length>=1,"Pass at least one tensor to tf.stack"),1===n.length)return n[0].expandDims(t);var r=n[0].rank,a=n[0].shape,i=n[0].dtype;b(t<=r,"Axis must be <= rank of the tensor"),n.forEach(function(e){w(a,e.shape,"All tensors passed to stack must have matching shapes")}),n.forEach(function(e){b(i===e.dtype,"All tensors passed to stack must have matching dtypes")});var o=n.map(function(e){return e.expandDims(t)});return zr(o,t)}}),Oa=rt({tile_:function(e,t){var n=tt(e,"x","tile");return b(n.rank===t.length,"Error in transpose: rank of input "+n.rank+" must match length of reps "+t+"."),ve.engine.runKernel(function(e){return e.tile(n,t)},{$x:n},function(e){return{$x:function(){var r=Ct(n);if(1===n.rank)for(var a=0;a<t[0];++a)r=r.add(e.slice([a*n.shape[0]],[n.shape[0]]));else if(2===n.rank)for(a=0;a<t[0];++a)for(var i=0;i<t[1];++i)r=r.add(e.slice([a*n.shape[0],i*n.shape[1]],[n.shape[0],n.shape[1]]));else if(3===n.rank)for(a=0;a<t[0];++a)for(i=0;i<t[1];++i)for(var o=0;o<t[2];++o)r=r.add(e.slice([a*n.shape[0],i*n.shape[1],o*n.shape[2]],[n.shape[0],n.shape[1],n.shape[2]]));else{if(4!==n.rank)throw new Error("Gradient for tile operation is not implemented for rank-"+n.rank+" tensors yet.");for(a=0;a<t[0];++a)for(i=0;i<t[1];++i)for(o=0;o<t[2];++o)for(var s=0;s<t[3];++s)r=r.add(e.slice([a*n.shape[0],i*n.shape[1],o*n.shape[2],s*n.shape[3]],[n.shape[0],n.shape[1],n.shape[2],n.shape[3]]))}return r}}})}}),ka=rt({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new ea(t,n,r,!0,a),o=na(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),Ia=rt({unstack_:function(e,t){void 0===t&&(t=0);for(var n,r=tt(e,"x","unstack"),a=r.shape[t],i=Array(r.rank-1).fill(0),o=0,s=0;s<r.rank;s++)s!==t&&(i[o]=r.shape[s],o++);n=Array(a).fill(1);var u=Array(r.rank).fill(0),l=r.shape.slice();return n.map(function(e){l[t]=e;var n=r.slice(u,l);return u[t]+=e,n.reshape(i)})}}),Ca=function(e,t){return l(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l,f,p;return c(this,function(c){switch(c.label){case 0:return n=tt(e,"x","setdiff1d"),r=tt(t,"y","setdiff1d"),b(n.dtype===r.dtype,"x and y should have the same dtype, but got x ("+n.dtype+") and y ("+r.dtype+")."),b(1===n.rank,"x should be 1D tensor, but got x ("+n.shape+")."),b(1===r.rank,"y should be 1D tensor, but got y ("+r.shape+")."),[4,n.data()];case 1:return a=c.sent(),[4,r.data()];case 2:for(i=c.sent(),o=new Set(i),s=0,f=0;f<a.length;f++)o.has(a[f])||s++;for(u=new Q([s],n.dtype),l=new Q([s],"int32"),f=0,p=0;f<a.length;f++)o.has(a[f])||(u.values[p]=a[f],l.values[p]=f,p++);return[2,[u.toTensor(),l.toTensor()]]}})})};function Pa(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);var a=na(e,"int32"),i=na([n.length,e.length],"int32");for(r=0;r<n.length;r++){var o=a.indexToLoc(n[r]),s=r*e.length;i.values.set(o,s)}return i.toTensor()}var Aa=300,Ta=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ve.get("WEBGL_VERSION")<1)throw new Error("WebGL is not supported on this device");if(null==e){var n=h(ve.get("WEBGL_VERSION"));this.gpgpu=new Er(n),this.canvas=n.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;ve.get("WEBGL_PAGING_ENABLED")&&(this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*Aa),this.textureManager=new Ar(this.gpgpu)}return e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error("Data buffer is already registered");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,complexTensors:null,texShape:null,usage:dn.RENDER,isPacked:!1})},e.prototype.setDataMover=function(e){this.texData=new Mt(e)},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error("pixels passed to tf.fromPixels() can not be null");var n=[e.height,e.width],r=[e.height,e.width,t];if(!(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData))throw new Error("pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was "+e.constructor.name);if(e instanceof HTMLVideoElement){if(null==this.fromPixels2DContext){if(!ve.get("IS_BROWSER"))throw new Error("Can't read pixels from HTMLImageElement outside the browser.");if("complete"!==document.readyState)throw new Error("The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixels2DContext=document.createElement("canvas").getContext("2d")}this.fromPixels2DContext.canvas.width=e.width,this.fromPixels2DContext.canvas.height=e.height,this.fromPixels2DContext.drawImage(e,0,0,e.width,e.height),e=this.fromPixels2DContext.canvas}var a=this.makeTensorHandle(n,"int32");this.texData.get(a.dataId).usage=dn.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId),e);var i=new function(e){this.variableNames=["A"];var t=e[0],n=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+n+".0, "+t+".0);\n\n        vec4 values = texture2D(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "}(r),o=this.compileAndRun(i,[a]);return this.disposeData(a.dataId),o},e.prototype.makeTensorHandle=function(e,t){var n={};return this.register(n,e,t),{dataId:n,shape:e,dtype:t}},e.prototype.write=function(e,t){if(null==t)throw new Error("MathBackendWebGL.write(): values can not be null");var n=this.texData.get(e),r=n.texture,a=n.texShape,i=n.usage,o=n.dtype,s=n.isPacked;if("complex64"===o)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");null!=r&&(this.releaseTexture(e,r,a,i,s),n.texture=null,n.texShape=null),n.usage=dn.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,a=t.complexTensors;if(null!=n)return this.convertAndCacheOnCPU(e);var i,o,s=null!=this.activeTimers;return s&&(i=performance.now()),o="complex64"===r?Lt(a.real.dataSync(),a.imag.dataSync()):this.getValuesFromTexture(e),s&&(this.downloadWaitMs+=performance.now()-i),this.convertAndCacheOnCPU(e,o)},e.prototype.read=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o,s,u,l;return c(this,function(c){switch(c.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(n=this.texData.get(e),r=n.texture,a=n.values,i=n.texShape,null!=a)return[2,this.convertAndCacheOnCPU(e)];if(this.pendingRead.set(e,[]),!ve.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===ve.get("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return o=this.gpgpu.maybeCreateBufferFromTexture(r,i[0],i[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return c.sent(),s=o instanceof WebGLTexture?this.getValuesFromTexture(e):this.gpgpu.downloadFloat32MatrixFromBuffer(o,i[0],i[1]),u=this.convertAndCacheOnCPU(e,s),l=this.pendingRead.get(e),this.pendingRead.delete(e),l.forEach(function(e){return e(u)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,u]}})})},e.prototype.getValuesFromTexture=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.texture,i=t.texShape;if(ve.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")){if(this.texData.get(e).isPacked){var o=E(n.slice(0,n.length-2)),s=n.length>1?n[n.length-2]:1,u=n[n.length-1];return this.gpgpu.downloadMatrixFromPackedTexture(a,o,s,u,i[0],i[1])}return this.gpgpu.downloadFloat32MatrixFromOutputTexture(a,i[0],i[1])}var l=this.makeTensorHandle(n,"float32");l.size=E(n),this.texData.get(l.dataId).usage=dn.DOWNLOAD;var c=new function(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      const float FLOAT_MAX = 1.70141184e38;\n      const float FLOAT_MIN = 1.17549435e-38;\n\n      lowp vec4 encode_float(highp float v) {\n        if (isNaN(v)) {\n          return vec4(255, 255, 255, 255);\n        }\n\n        highp float av = abs(v);\n\n        if(av < FLOAT_MIN) {\n          return vec4(0.0, 0.0, 0.0, 0.0);\n        } else if(v > FLOAT_MAX) {\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n        } else if(v < -FLOAT_MAX) {\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n        }\n\n        highp vec4 c = vec4(0,0,0,0);\n\n        highp float e = floor(log2(av));\n        highp float m = exp2(fract(log2(av))) - 1.0;\n\n        c[2] = floor(128.0 * m);\n        m -= c[2] / 128.0;\n        c[1] = floor(32768.0 * m);\n        m -= c[1] / 32768.0;\n        c[0] = floor(8388608.0 * m);\n\n        highp float ebias = e + 127.0;\n        c[3] = floor(ebias / 2.0);\n        ebias -= c[3] * 2.0;\n        c[2] += floor(ebias) * 128.0;\n\n        c[3] += 128.0 * step(0.0, -v);\n\n        return c / 255.0;\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        gl_FragColor = encode_float(x);\n      }\n    "}(n);this.compileAndRun(c,[{shape:n,dtype:r,dataId:e}],l,null,!1);var f=this.texData.get(l.dataId),p=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture,f.texShape[0],f.texShape[1]);return this.disposeData(l.dataId),p},e.prototype.time=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o,s;return c(this,function(u){switch(u.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),a=_(this.activeTimers.map(function(e){return e.query})).filter(function(e){return null!=e}),i=_(this.activeTimers.map(function(e){return e.name})).filter(function(e){return null!=e}),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(a)];case 1:return o=u.sent(),s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:y(o),getExtraProfileInfo:function(){return o.map(function(e,t){return{name:i[t],ms:e}}).map(function(e){return e.name+": "+e.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,s]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return l(this,void 0,void 0,function(){var t;return c(this,function(n){return ve.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,a=t.usage,i=t.complexTensors,o=t.isPacked;null!=n&&this.releaseTexture(e,n,r,a,o),null!=i&&(i.real.dispose(),i.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getCPUBackend=function(){return ve.get("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=ve.findBackend("cpu")),this.cpuBackend):null},e.prototype.shouldExecuteOnCPU=function(e,t){var n=this;return void 0===t&&(t=10),null!=this.getCPUBackend()&&e.every(function(e){return null==n.texData.get(e.dataId).texture&&e.size<t})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var n=this.makeOutputArray(e.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:ve.engine.keep(e.clone()),imag:ve.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,n){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.slice(e,t,n);var r=new Pr(n),a=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,a)},e.prototype.stridedSlice=function(e,t,n,r,a,i,o,s,u){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.stridedSlice(e,t,n,r,a,i,o,s,u);var l=Je(e.shape,t,n,r,a,i,o,s,u),c=l[0],f=l[1],p=l[2],h=f.filter(function(e,t){return-1===p.indexOf(t)});if(h.some(function(e){return 0===e}))return lt([],h);var d=new function(e,t,n,r){this.variableNames=["x"];var a=n.filter(function(e,t){return-1===r.indexOf(t)});this.outputShape=a;var i=n.length,o=cn(n.length),s=cn(a.length),u="";if(1===i)u="coords * strides + begin";else{var l=0;u=n.map(function(e,t){return-1===r.indexOf(t)?(l++,1===a.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(l-1)+"] * strides["+t+"] + begin["+t+"]"):"begin["+t+"]"}).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+e+");\n      "+o+" strides = "+o+"("+t+");\n\n      void main() {\n        "+s+" coords = getOutputCoords();\n        setOutput(getX("+u+"));\n      }\n    "}(c,r,f,p);return this.compileAndRun(d,[e])},e.prototype.reverse=function(e,t){var n=new function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),a=cn(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat2Tensors=function(e,t,n){var r=Ge([e.shape,t.shape],n),a=e.as2D(-1,E(e.shape.slice(n))),i=t.as2D(-1,E(t.shape.slice(n))),o=new function(e,t){this.variableNames=["A","B"],this.outputShape=[],this.outputShape=Ge([e,t],1),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        float value = 0.0;\n        if (yC < "+e[1]+") {\n          value = getA(yR, yC);\n        } else {\n          yC -= "+e[1]+";\n          value = getB(yR, yC);\n        }\n\n        setOutput(value);\n      }\n    "}(a.shape,i.shape);return this.compileAndRun(o,[a,i]).reshape(r)},e.prototype.concat=function(e,t){if(this.shouldExecuteOnCPU(e))return this.cpuBackend.concat(e,t);if(1===e.length)return e[0];for(var n=e[0],r=1;r<e.length;++r)n=this.concat2Tensors(n,e[r],t);return n},e.prototype.neg=function(e){var t=new jr(e.shape,"return -x;");return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,n,r){var a=n?e.shape[2]:e.shape[1],i=r?t.shape[1]:t.shape[2],o=n?e.shape[1]:e.shape[2],s=e.shape[0];if((1===a||1===i)&&o>1e3){n&&(e=e.transpose([0,2,1])),r&&(t=t.transpose([0,2,1]));var u=1===i?e:e.as3D(s,o,1),l=1===i?2:1,c=1===i?t.as3D(s,1,o):t;return this.multiply(u,c).sum(l,!0)}if(1===s){var f=e.as2D(e.shape[1],e.shape[2]),p=t.as2D(t.shape[1],t.shape[2]),h=new Sr(f.shape,p.shape,[a,i],n,r),d=this.compileAndRun(h,[f,p],this.makePackedTensor(h.outputShape));return!1===ve.get("WEBGL_LAZILY_UNPACK")&&(d=this.unpackTensor(d)),d.reshape([1,d.shape[0],d.shape[1]])}return this.compileAndRun(new function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=["matrixA","matrixB"];var a=e[0],i=n?e[2]:e[1],o=r?t[1]:t[2],s=n?e[1]:e[2];this.outputShape=[a,i,o];var u=function(e,t){return n?"batch, "+t+" + "+e+", aRow":"batch, aRow, "+t+" + "+e},l=function(e,t){return r?"batch, bCol, "+t+" + "+e:"batch, "+t+" + "+e+", bCol"},c=4*Math.floor(s/4),f=s%4;this.userCode=" float dotARowBCol(int batch, int aRow, int bCol) {\n      float result = 0.0;\n      for (int i = 0; i < "+c+"; i += 4) {\n        vec4 a = vec4(\n          getMatrixA("+u(0,"i")+"),\n          getMatrixA("+u(1,"i")+"),\n          getMatrixA("+u(2,"i")+"),\n          getMatrixA("+u(3,"i")+")\n        );\n        vec4 b = vec4(\n          getMatrixB("+l(0,"i")+"),\n          getMatrixB("+l(1,"i")+"),\n          getMatrixB("+l(2,"i")+"),\n          getMatrixB("+l(3,"i")+")\n        );\n\n        result += dot(a, b);\n      }\n\n      if ("+(1===f)+") {\n        result += getMatrixA("+u(0,c)+") *\n          getMatrixB("+l(0,c)+");\n      } else if ("+(2===f)+") {\n        vec2 a = vec2(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+")\n        );\n        vec2 b = vec2(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+")\n        );\n        result += dot(a, b);\n      } else if ("+(3===f)+") {\n        vec3 a = vec3(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+"),\n          getMatrixA("+u(2,c)+")\n        );\n        vec3 b = vec3(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+"),\n          getMatrixB("+l(2,c)+")\n        );\n        result += dot(a, b);\n      }\n\n      return result;\n    }\n\n    void main() {\n      ivec3 resBRC = getOutputCoords();\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\n    }\n    "}(e.shape,t.shape,n,r),[e,t])},e.prototype.multiply=function(e,t){if("complex64"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),a=new Jt("return areal * breal - aimag * bimag;",e.shape,t.shape),i=new Jt("return areal * bimag + aimag * breal;",e.shape,t.shape),o=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag),this.makeComplexComponentTensorHandle(t,r.complexTensors.real),this.makeComplexComponentTensorHandle(t,r.complexTensors.imag)],s=this.compileAndRun(a,o),u=this.compileAndRun(i,o),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.multiply(e,t);var c=new en("return a * b;",e.shape,t.shape),f=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],f)},e.prototype.batchNormalization=function(e,t,n,r,a,i){var o=[e,t,n],s=null;null!=i&&(s=i.shape,o.push(i));var u=null;null!=a&&(u=a.shape,o.push(a));var l=null,c=Kt;ve.get("WEBGL_PACK_BATCHNORMALIZATION")&&(l=this.makePackedTensor(e.shape),c=Xt);var f=new c(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(f,o,l)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var i=new function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "}(e.shape,t,n,r,a);return this.compileAndRun(i,[e])},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){var s=new function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "}(t.shape,r,a,i,o);return this.compileAndRun(s,[t,n,e])},e.prototype.tile=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=cn(this.rank),i=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod("+n[a]+", "+e[a]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new function(e,t,n){this.variableNames=["x"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,a=cn(r),i=t.map(function(e){return e[0]}).join(","),o=t.map(function(t,n){return t[0]+e[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=cn(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A","indices"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var a=cn(this.rank),i=function(e,t){var n=e.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],i=0;i<e.length;i++)i===t?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(e,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.batchToSpaceND=function(e,t,n){b(e.rank<=4,"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=Me(e.shape,t,r),i=Re(a.length,t.length),o=De(e.shape,t,r),s=je(n,t.length),u=Le(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){b(e.rank<=4,"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Me(o.shape,t,r,!1),u=Re(s.length,t.length,!1),l=De(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],i=new function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=Math.ceil(a/n);this.outputShape=[r,i];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 0.0",s="min"):"max"===t&&(o="-1.0 / 0.0",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,f="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",p="vec4";"all"===t?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",p="bvec4"):"any"===t&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",p="bvec4");var h="";a%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+h+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "}({windowSize:Xe(a),inSize:a,batchSize:r},t),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],n);return this.compileAndRun(i,[e],l),1===l.shape[1]?l:this.reduce(l,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var i=new function(e,t,n){this.variableNames=["A"];var r=e.windowSize,a=e.batchSize,i=e.inSize,o=Math.ceil(i/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,o];var s="max"===t?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "}({windowSize:Xe(a),inSize:a,batchSize:r},t,null==n),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],"int32"),c=[e];return null!=n&&c.push(n),this.compileAndRun(i,c,l),1===l.shape[1]?l:this.argReduce(e,t,l)},e.prototype.sum=function(e,t){Ue("sum",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a),o=Tt(e.dtype);return this.reduce(i,"sum",o).reshape(r)},e.prototype.prod=function(e,t){var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a),o=Tt(e.dtype);return this.reduce(i,"prod",o).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,a=We([r],e.rank),i=e;null!=a&&(i=e.transpose(a),r=$e(1,e.rank)[0]);var o=function(e,t,n){for(var r=[],a=e.length,i=0;i<a;i++)i!==t?r.push(e[i]):r.push(n);return r}(i.shape,r,n),s=E([i.shape[r]]),u=i.as2D(-1,s),l=Tt(e.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",t,l,n).reshape(o);return null!=a&&(c=c.transpose(qe(a))),c},e.prototype.segOpCompute=function(e,t,n,r,a){var i=e.shape[0],o=e.shape[1],s=function(e,t){var n,r=!1;for(e<=Ke?(n=e,r=!0):n=z(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=z(e,n+1)}return n}(o,a),u=new function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, filter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "}({windowSize:s,inSize:o,batchSize:i,numSegments:a},t),l=u.outputShape,c=l[0],f=l[1],p=this.makeOutputArray([c,f],r);return this.compileAndRun(u,[e,n],p),p.shape[1]===a?p:(n=xt(0,a).tile([o/s]),this.segOpCompute(p,t,n,r,a))},e.prototype.argMin=function(e,t){var n=[t];Ue("argMin",n,e.rank);var r=ze(e.shape,n),a=r[0],i=E(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"min").reshape(a)},e.prototype.argMax=function(e,t){var n=[t];Ue("argMax",n,e.rank);var r=ze(e.shape,n),a=r[0],i=E(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"max").reshape(a)},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);var a=new function(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,a=e[e.length-1],i=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+a+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+cn(r)+" coords = getOutputCoords();\n        int end = "+hn(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+a+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+i+" end) {\n            continue;\n          }\n          if (idx == end && "+t+") {\n            continue;\n          }\n          "+hn(r,"coords")+" = idx;\n          val += getX("+function(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "}(e.shape,n,r);return this.compileAndRun(a,[e])},e.prototype.equal=function(e,t){var n=new en("return float(a == b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new en("return float(a != b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.less(e,t);var n=new en("return float(a < b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new en("return float(a <= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.greater(e,t);var n=new en("return float(a > b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new en("return float(a >= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new jr(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new en("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new en("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.select=function(e,t,n){var r=new function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+i[u]),u<e&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=cn(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "}(e.rank,t.shape,t.rank),a=this.makeOutputArray(r.outputShape,At(t.dtype,n.dtype));return this.compileAndRun(r,[e,t,n],a)},e.prototype.where=function(e){Te("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return Pa(e.shape,t)},e.prototype.topk=function(e,t,n){return qt(e.dataSync(),e.shape,e.dtype,t)},e.prototype.min=function(e,t){Ue("min",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"min",i.dtype).reshape(r)},e.prototype.minimum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.minimum(e,t);var n=new en("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new en("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[e,t],null,r)},e.prototype.max=function(e,t){Ue("max",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"max",i.dtype).reshape(r)},e.prototype.maximum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.maximum(e,t);var n=new en("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){Ue("all",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},e.prototype.any=function(e,t){Ue("any",t,e.rank);var n=ze(e.shape,t),r=n[0],a=E(n[1]),i=e.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new en("return (a - b) * (a - b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new en("if (a == b) return 1.0;\n  return a / b;",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new en("\n  float resultSign = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  int result = ia / ib;\n  int amodb = ia - ib * result;\n\n  if (resultSign < 0.0 && amodb != 0) {\n    result -= 1;\n  }\n  return float(result);\n",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Zt);var n=new en(Zt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,At(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,a=this.texData.get(e.dataId),i=this.texData.get(t.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.complexTensors.imag,i.complexTensors.imag]].map(function(a){var i=a[0],o=a[1],s=new en(n,e.shape,t.shape),u=r.makeOutputArray(s.outputShape,At(i.dtype,o.dtype)),l=r.makeComplexComponentTensorHandle(e,i),c=r.makeComplexComponentTensorHandle(t,o);return r.compileAndRun(s,[l,c],u)}),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],n=1;n<e.length;n++)t=this.add(t,e[n]);return t},e.prototype.subtract=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Qt);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.subtract(e,t);var n=new en(Qt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,At(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new en("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=n.getCustomSetupFunc(),a=this.makeOutputArray(n.outputShape,At(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],a,r)},e.prototype.ceil=function(e){var t=new jr(e.shape,"return ceil(x);");return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new jr(e.shape,"return floor(x);");return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new jr(e.shape,"\n  if (isNaN(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new jr(e.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new jr(e.shape,"return exp(x);");return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new jr(e.shape,"return exp(x) - 1.0;");return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new jr(e.shape,"if (x < 0.0) return NAN;\n  return log(x);"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.log1p=function(e){var t=new jr(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new jr(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new jr(e.shape,"return inversesqrt(x);");return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new jr(e.shape,"return x * x;");return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new jr(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n");return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new jr(e.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new en("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new jr(e.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new jr(e.shape,"return float(int(x));"),n=this.makeOutputArray(t.outputShape,"int32");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      void main() {\n        float value = getAAtOutCoords();\n        if (isNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, float("+t+"), float("+n+")));\n      }\n    "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new jr(e.shape,"return abs(x);");return this.compileAndRun(t,[e])},e.prototype.complexAbs=function(e){var t=this.texData.get(e.dataId),n=new function(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n      void main() {\n        float real = getRealAtOutCoords();\n        float imag = getImagAtOutCoords();\n        vec2 v = vec2(real, imag);\n\n        setOutput(sqrt(dot(v, v)));\n      }\n    "}(e.shape),r=[this.makeComplexComponentTensorHandle(e,t.complexTensors.real),this.makeComplexComponentTensorHandle(e,t.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(e){var t=new jr(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new jr(e.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return sin(x);\n");return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return cos(x);\n");return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new jr(e.shape,"return tan(x);");return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new jr(e.shape,"return asin(x);");return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new jr(e.shape,"return acos(x);");return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  return atan(x);\n");return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new en("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return atan(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new jr(e.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new jr(e.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new jr(e.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new jr(e.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.atanh=function(e){var t=new jr(e.shape,"if (isNaN(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.erf=function(e){var t=new jr(e.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n');return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new jr(e.shape,function(e){return void 0===e&&(e=0),Lr+"\n    return x > 0.0 ? 1.0 : float("+e+");\n  "}(t));return this.compileAndRun(n,[e])},e.prototype.conv2dWithIm2Row=function(e,t,n){var r=n.filterWidth,a=n.filterHeight,i=n.inChannels,o=n.outWidth,s=n.outHeight,u=r*a*i,l=s*o,c=[u,l],f=e.squeeze([0]),p=t.reshape([u,-1]),h=new function(e,t,n){this.variableNames=["A"],this.outputShape=e;var r=n.filterWidth,a=n.inChannels,i=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,f=s.left,p=s.top,h=a*r;this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            int blockIndex = rc.y + col;\n            int pos = rc.x + row;\n\n            if(blockIndex >= "+e[1]+" || pos >= "+e[0]+") continue;\n\n            int offsetY = int(blockIndex / ("+u+")) * "+o+" - "+p+";\n            int d0 = offsetY + "+c+" * (pos / "+h+");\n\n            if(d0 >= "+t[0]+" || d0 < 0) continue;\n\n            int offsetX = int(mod(float(blockIndex), "+u+".) * "+i+". - "+f+".);\n            int d1 = offsetX + "+l+" * (int(mod(float(pos), "+h+".) / "+a+".));\n\n            if(d1 >= "+t[1]+" || d1 < 0) continue;\n\n            result[row * 2 + col] = getA(d0, d1, int(mod(float(pos), "+a+".)));\n          }\n        }\n\n        gl_FragColor = result;\n      }\n    "}(c,f.shape,n),d=this.compileAndRun(h,[f],this.makePackedTensor(c)),m=new Sr(d.shape,p.shape,[l,n.outChannels],!0,!1),g=this.compileAndRun(m,[d,p],this.makePackedTensor(m.outputShape));return!1===ve.get("WEBGL_LAZILY_UNPACK")&&(g=this.unpackTensor(g)),g.reshape([1,s,o,n.outChannels])},e.prototype.conv2d=function(e,t,n){if(ve.get("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,n);var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+a+");\n      const ivec2 pads = ivec2("+t+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+i+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+o+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+l+"; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===c)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+l+") *\n                getW(wR, wC, "+l+", d2);\n            } else if ("+(2===c)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===c)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1),\n                getX(batch, xR, xC, "+l+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2),\n                getW(wR, wC, "+l+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.strideHeight,o=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,f=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+r+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+f+";\n        int q = d2 - d1 * "+f+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+t+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+c+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new Ir(t,"max",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new Ir(t,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var a=new Ir(r,"max",!0),i=this.compileAndRun(a,[t]),o=new function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,i=e.effectiveFilterWidth,o=a-1-e.padInfo.top,s=i-1-e.padInfo.left,u=a*i-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+a+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+t+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+i+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+i+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(r),s=this.makeOutputArray(o.outputShape,t.dtype),u=this.compileAndRun(o,[e,i],s);return i.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,f=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+f+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+i+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n),a=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],a)},e.prototype.cast=function(e,t){return Dt(e,t,this)},e.prototype.reshape=function(e,t){return this.texData.get(e.dataId).isPacked&&!er(e.shape,t)?this.packedReshape(e,t):jt(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(a-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.multinomial=function(e,t,n,r){var a=t?e:at(e),i=a.shape[0],o=a.shape[1],s=new Or(i,o,n),u=this.makeOutputArray(s.outputShape,"int32"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],u,l)},e.prototype.oneHot=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "}(e.size,t,n,r);return this.compileAndRun(a,[e])},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return Te("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Vt(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.cropAndResize=function(e,t,n,r,a,i){var o=new function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],f=n[1];this.outputShape=[l,c,f,u];var p="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],d=h[0],m=h[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],y=g[0],v=g[1],b=g[2],w=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],x=w[0],_=w[1],E=w[2];this.userCode="\n      const float height_ratio = float("+y+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+v+";\n        float width_scale = "+_+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\n        if("+p+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\n\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n          float newValue = top + (bottom - top) * fracRC.x;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestRC = ivec2(floor(\n            sourceFracIndexRC + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\n          setOutput(newValue);\n        }\n      }\n    "}(e.shape,t.shape,r,a,i);return this.compileAndRun(o,[e,t,n])},e.prototype.depthToSpace=function(e,t,n){b(t>1,"blockSize should be > 1 for depthToSpace, but was: "+t);var r=e.shape[0],a=("NHWC"===n?e.shape[1]:e.shape[2])*t,i=("NHWC"===n?e.shape[2]:e.shape[3])*t,o=("NHWC"===n?e.shape[3]:e.shape[1])/(t*t),s=new gn("NHWC"===n?[r,a,i,o]:[r,o,a,i],t,n);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,n){return Wt(e,t,n)},e.prototype.scatterND=function(e,t,n){var r=Ye(0,e,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=[u/o,o],c=e.reshape([i,a]),f=t.reshape([i,o]);if(0===u)return jt(lt([]),n);var p=ct(0),h=new Cr(i,a,c.rank,f.rank,s,l);return this.compileAndRun(h,[f,c,p]).reshape(n)},e.prototype.sparseToDense=function(e,t,n,r){var a=Ye(0,e,n),i=a.sliceRank,o=a.numUpdates,s=a.strides,u=a.outputSize,l=new Cr(o,i,e.rank,t.rank,s,[u,1],!1);return this.compileAndRun(l,[t,e,r]).reshape(n)},e.prototype.fft=function(e){return this.fftImpl(e,!1)},e.prototype.ifft=function(e){return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var n=this.texData.get(e.dataId),r=new yn("return real * expR - imag * expI;",e.shape,t),a=new yn("return real * expI + imag * expR;",e.shape,t),i=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag)],o=this.compileAndRun(r,i),s=this.compileAndRun(a,i),u=this.complex(o,s).as2D(e.shape[0],e.shape[1]);return o.dispose(),s.dispose(),u},e.prototype.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],a=He(e,t),i=a[0],o=a[1],s=a[2],u=a[3],l=t.reshape([o,r]),c=e.reshape([e.size/s,s]),f=new function(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;var r=cn(t.length),a=cn(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+i+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "}(r,u,[o,s]);return this.compileAndRun(f,[c,l]).reshape(i)},e.prototype.makeOutputArray=function(e,t){return re.make(e,{},t)},e.prototype.makePackedTensor=function(e){var t=re.make(e,{});return this.texData.get(t.dataId).isPacked=!0,t},e.prototype.unpackTensor=function(e){var t=new Br(e.shape);return this.compileAndRun(t,[e])},e.prototype.getBatchDim=function(e,t){return void 0===t&&(t=2),E(e.slice(0,e.length-t))},e.prototype.getRowsCols=function(e){if(0===e.length)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]},e.prototype.packedReshape=function(e,t){var n=e.reshape([this.getBatchDim(e.shape)].concat(this.getRowsCols(e.shape))),r=[this.getBatchDim(t)].concat(this.getRowsCols(t)),a=new function(e,t){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=e;for(var n="",r=0;r<4;r++){var a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+="\n        "+a+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+tn(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+function(e){return"\n    int getFlatIndex(ivec3 coords) {\n      return round("+function(e,t){if(e.length!==t.length)throw new Error("Vectors to be dotted must be of the same length -got "+e.length+" and "+t.length);for(var n=[],r=Math.floor(e.length/4),a=e.length%4,i=0;i<r;i++){var o=e.slice(4*i,4*i+4),s=t.slice(4*i,4*i+4);n.push(nn(o)+", "+nn(s))}return 0!==a&&(o=e.slice(4*r),s=t.slice(4*r),1===o.length&&(o=o.map(function(e){return"float("+e+")"}),s=s.map(function(e){return"float("+e+")"})),n.push(nn(o)+", "+nn(s))),n.map(function(e,t){return"dot("+e+")"}).join("+")}(["coords.x","coords.y","coords.z"],F(e).map(function(e){return e.toString()}).concat(["1."]))+");\n    }\n  "}(e)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+e[1]+";\n        int cols = "+e[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "}(r,n.shape);return this.compileAndRun(a,[n],this.makePackedTensor(r)).reshape(t)},e.prototype.compileAndRun=function(e,t,n,r,a){var i=this;if(void 0===a&&(a=!0),null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=T(n.dtype,0),n;var o=t.map(function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=i.texData.get(t.dataId);if(null==n.texture&&(n.isPacked||!e.usesPackedTextures)&&E(t.shape)<=ve.get("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:i.readSync(t.dataId)};if(n.isPacked!==!!e.usesPackedTextures){var r=void 0,a=void 0;n.isPacked?(r=new Br(t.shape),a=i.compileAndRun(r,[t])):(r=new function(e){this.variableNames=["A"],this.outputShape=e;var t=e.length,n=kr("rc",t),r=cn(t),a=function(e,t,n){if(1===e)return"rc > "+t[0];for(var r="",a=e-2;a<e;a++)r+=n[a]+" >= "+t[a],a<e-1&&(r+="||");return r}(t,e,n),i=function(e,t,n,r){if(1===e)return"";var a=r.slice(-2);return"\n    int r = "+a[0]+";\n    int c = "+a[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+t+";\n    bool rEdge = rp1 >= "+n+";\n  "}(t,e[e.length-1],e[e.length-2],n),o=function(e,t){var n=e.length,r=function(e,t){for(var n=[],r=0;r<=1;r++)for(var a=0;a<=1;a++){for(var i=(0===r?"r":"rp1")+", "+(0===a?"c":"cp1"),o=2;o<e;o++)i=t[t.length-1-o]+","+i;n.push(i)}return n}(n,t);return 1===n?"getA(rc),\n            rc + 1 >= "+e[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(e,n);this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n\n        if("+a+") {\n          gl_FragColor = vec4(0);\n        } else {\n          "+i+"\n\n          setOutput(vec4("+o+"));\n        }\n      }\n    "}(t.shape),a=i.compileAndRun(r,[t],i.makePackedTensor(t.shape))),n=i.texData.get(a.dataId),t=a}return i.uploadToGPU(t.dataId),{shape:t.shape,texData:n,isUniform:!1}});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=function(e,t,n){var r="";o.concat(n).forEach(function(e){r+=e.shape+"_"+(e.isUniform?"uniform":e.texData.texShape)});var a=e.userCode,i=(!0===e.supportsBroadcasting).toString();return e.constructor.name+"_"+i+"_"+r+"_"+a}(e,0,u),c=this.getAndSaveBinary(l,function(){return function(e,t,n,r){for(var a=t.userCode,i=n.map(function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked};return{name:t.variableNames[n],shapeInfo:r}}),o=i.map(function(e){return e.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked},u=rn(i,s,a,!0===t.supportsBroadcasting,t.usesPackedTextures),l=e.createProgram(u),c={},f=0;f<t.variableNames.length;f++){var p=t.variableNames[f];c[p]=e.getUniformLocation(l,p,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:o,outShapeInfo:s}}(i.gpgpu,e,o,u)}),f=null!=this.activeTimers;if(f&&(s=this.startTimer()),function(e,t,n,r){Nr(e.inShapeInfos,t),Nr([e.outShapeInfo],[n]);var a=n.texData.texture,i=n.texData.texShape,o=e.gpgpu;n.texData.isPacked?o.setOutputPackedMatrixTexture(a,i[0],i[1]):o.setOutputMatrixTexture(a,i[0],i[1]),o.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],a=e.uniformLocations[r];if(null!=a){if(t.isUniform){if(1===E(t.shape))o.gl.uniform1f(a,t.uniformValues[0]);else{var i=t.uniformValues;i instanceof Float32Array||(i=new Float32Array(i)),o.gl.uniform1fv(a,i)}return}var s=t.texData.texture;o.setInputMatrixTexture(s,a,n)}}),null!=r&&r(o,e.webGLProgram),o.executeProgram()}(c,o,u,r),ve.get("WEBGL_PAGING_ENABLED")&&a&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var p=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;p>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),d=this.texData.get(h),m=d.shape,g=d.dtype;p-=this.computeBytes(m,g),this.read(h)}return f&&(s=this.endTimer(s),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(s)})),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return ke(function(){return e.abs(ct(1e-8)).get()>0?32:16})},e.prototype.uploadToGPU=function(e){var t=this.texData.get(e),n=t.shape,r=t.values,a=t.texture,i=t.dtype,o=t.usage,s=t.isPacked;if(null==a){var u,l=null!=this.activeTimers;l&&(u=performance.now());var c=Zn(n,s);t.texShape=c;var f=this.acquireTexture(e,c,o,s);if(t.texture=f,null!=r){if(s){var p=E(n.slice(0,n.length-2)),h=n.length>1?n[n.length-2]:1,d=n[n.length-1];this.gpgpu.uploadMatrixToPackedTexture(f,p,h,d,Ma(r,i))}else this.gpgpu.uploadMatrixToTexture(f,c[0],c[1],Ma(r,i));t.values=null,l&&(this.uploadWaitMs+=performance.now()-u)}}else ve.get("WEBGL_PAGING_ENABLED")&&this.lruDataGPU.indexOf(e)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),this.lruDataGPU.push(e))},e.prototype.convertAndCacheOnCPU=function(e,t){var n=this.delayedStorage,r=this.texData.get(e),a=r.texture,i=r.texShape,o=r.dtype,s=r.usage,u=r.isPacked;return n&&null!=a&&(this.releaseTexture(e,a,i,s,u),r.texture=null,r.texShape=null),r.usage=dn.UPLOAD,null!=t&&(r.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype 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e.mulStrict(t.toFloat().step(-1))}}})}}),Da=rt({acos_:function(e){var t=tt(e,"x","acos");return ve.engine.runKernel(function(e){return e.acos(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).sub(t.toFloat().square()).sqrt()).neg()}}})}}),ja=rt({acosh_:function(e){var t=tt(e,"x","acosh");return ve.engine.runKernel(function(e){return e.acosh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().square().sub(ct(1)).sqrt())}}})}}),La=rt({asin_:function(e){var t=tt(e,"x","asin");return ve.engine.runKernel(function(e){return e.asin(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).sub(t.toFloat().square()).sqrt())}}})}}),Ba=rt({asinh_:function(e){var t=tt(e,"x","asinh");return ve.engine.runKernel(function(e){return e.asinh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).add(t.toFloat().square()).sqrt())}}})}}),za=rt({atan_:function(e){var t=tt(e,"x","atan");return ve.engine.runKernel(function(e){return e.atan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).add(t.toFloat().square()))}}})}}),Fa=rt({atanh_:function(e){var t=tt(e,"x","atanh");return ve.engine.runKernel(function(e){return e.atanh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(ct(1).sub(t.toFloat().square()))}}})}}),Va=rt({ceil_:function(e){var t=tt(e,"x","ceil");return ve.engine.runKernel(function(e){return e.ceil(t)},{$x:t},function(e){return{$x:function(){return Ct(e)}}})}}),Ua=rt({clipByValue_:function(e,t,n){var r=tt(e,"x","clipByValue");return b(t<=n,"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."),ve.engine.runKernel(function(e){return e.clip(r,t,n)},{$x:r},function(e){return{$x:function(){return e.where(r.greaterEqual(ct(t)).logicalAnd(r.lessEqual(ct(n))),Ct(e))}}})}}),Wa=rt({cos_:function(e){var t=tt(e,"x","cos");return ve.engine.runKernel(function(e){return e.cos(t)},{$x:t},function(e){return{$x:function(){return 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e.sin(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cos().mulStrict(e)}}})}}),ii=rt({sinh_:function(e){var t=tt(e,"x","sinh");return ve.engine.runKernel(function(e){return e.sinh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cosh().mulStrict(e)}}})}}),oi=rt({softplus_:function(e){var t=tt(e,"x","softplus");return ve.engine.runKernel(function(e){return e.softplus(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.sigmoid())}}})}}),si=rt({sqrt_:function(e){var t=tt(e,"x","sqrt");return ve.engine.runKernel(function(e){return e.sqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().sqrt().mul(ct(2)))}}})}}),ui=rt({square_:function(e){var t=tt(e,"x","square");return ve.engine.runKernel(function(e){return e.square(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().mul(ct(2)))}}})}}),li=rt({step_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","step");return ve.engine.runKernel(function(e){return e.step(n,t)},{$x:n},function(e){return{$x:function(){return Ct(e)}}})}}),ci=rt({tan_:function(e){var t=tt(e,"x","tan");return ve.engine.runKernel(function(e){return e.tan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.cos().square())}}})}}),fi=rt({tanh_:function(e){var t=tt(e,"x","tanh");return ve.engine.runKernel(function(e,n){return n(e.tanh(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return ct(1).sub(n.square()).mulStrict(e)}}})}});function pi(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}var hi=rt({batchNormalization2d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=tt(e,"x","batchNormalization"),l=tt(t,"mean","batchNormalization"),c=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(2===u.rank,"Error in batchNormalization3D: x must be rank 3 but got rank "+u.rank+"."),b(2===l.rank||1===l.rank,"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."),b(2===c.rank||1===c.rank,"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."),null!=o&&b(2===o.rank||1===o.rank,"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."),null!=s&&b(2===s.rank||1===s.rank,"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."),gi(u,l,c,r,o,s)}}),di=rt({batchNormalization3d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=tt(e,"x","batchNormalization"),l=tt(t,"mean","batchNormalization"),c=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(3===u.rank,"Error in batchNormalization3D: x must be rank 3 but got rank "+u.rank+"."),b(3===l.rank||1===l.rank,"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."),b(3===c.rank||1===c.rank,"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."),null!=o&&b(3===o.rank||1===o.rank,"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."),null!=s&&b(3===s.rank||1===s.rank,"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."),gi(u,l,c,r,o,s)}}),mi=rt({batchNormalization4d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=tt(e,"x","batchNormalization"),l=tt(t,"mean","batchNormalization"),c=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(4===u.rank,"Error in batchNormalization4D: x must be rank 4 but got rank "+u.rank+"."),b(4===l.rank||1===l.rank,"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."),b(4===c.rank||1===c.rank,"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."),null!=o&&b(4===o.rank||1===o.rank,"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."),null!=s&&b(4===s.rank||1===s.rank,"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."),gi(u,l,c,r,o,s)}}),gi=rt({batchNormalization_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u,l=tt(e,"x","batchNormalization"),c=tt(t,"mean","batchNormalization"),f=tt(n,"variance","batchNormalization");return null!=a&&(o=tt(a,"scale","batchNormalization")),null!=i&&(s=tt(i,"offset","batchNormalization")),b(c.rank===f.rank,"Batch normalization gradient requires mean and variance to have equal ranks."),b(null==s||c.rank===s.rank,"Batch normalization gradient requires mean and offset to have equal ranks."),b(null==o||c.rank===o.rank,"Batch normalization gradient requires mean and scale to have equal 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1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)}}}).reshape(l.shape)}});function yi(e,t,n,r,a,i,o){void 0===o&&(o="channelsLast");var s,u=bi(t),l=u[0],c=u[1];if("channelsLast"===o)s=[l,c,e[3],e[3]];else{if("channelsFirst"!==o)throw new Error("Unknown dataFormat "+o);s=[l,c,e[1],e[1]]}return vi(e,s,n,r,a,i,!1,o)}function vi(e,t,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=[-1,-1,-1,-1],l=u[0],c=u[1],f=u[2],p=u[3];if("channelsLast"===s)l=e[0],c=e[1],f=e[2],p=e[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);l=e[0],p=e[1],c=e[2],f=e[3]}var h,d=t[0],m=t[1],g=t[3],y=bi(n),v=y[0],w=y[1],x=bi(r),_=x[0],E=x[1],N=wi(d,_),O=wi(m,E),k=function(e,t,n,r,a,i,o,s){var u,l,c;if("number"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?"VALID":"NUMBER"};var f=function(e,t,n,r,a,i){null==a&&(a=function(e,t,n,r){void 0===r&&(r=1);var a=wi(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}(e,t,r));var o=e[1],s=xi((e[0]-t+2*a)/r+1,i);b(S(s),"The output # of rows 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Change the stride and/or zero pad parameters");var u=xi((o-t+2*a)/r+1,i);return b(S(u),"The output # of columns ("+u+") must be an integer. Change the stride and/or zero pad parameters"),[s,u,1]}([t,n,1],i,0,r,e,s);l=f[0],c=f[1]}else if("same"===e){var p=((l=Math.ceil(t/r))-1)*r+i-t,h=((c=Math.ceil(n/a))-1)*a+o-n,d=Math.floor(p/2),m=p-d,g=Math.floor(h/2);u={top:d,bottom:m,left:g,right:h-g,type:"SAME"}}else{if("valid"!==e)throw Error("Unknown padding parameter: "+e);u={top:0,bottom:0,left:0,right:0,type:"VALID"},l=Math.ceil((t-i+1)/r),c=Math.ceil((n-o+1)/a)}return{padInfo:u,outHeight:l,outWidth:c}}(a,c,f,v,w,N,O,i),I=k.padInfo,C=k.outHeight,P=k.outWidth,A=o?g*p:g;return"channelsFirst"===s?h=[l,A,C,P]:"channelsLast"===s&&(h=[l,C,P,A]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:f,inChannels:p,outHeight:C,outWidth:P,outChannels:A,padInfo:I,strideHeight:v,strideWidth:w,filterHeight:d,filterWidth:m,effectiveFilterHeight:N,effectiveFilterWidth:O,dilationHeight:_,dilationWidth:E,inShape:e,outShape:h,filterShape:t}}function bi(e){return"number"==typeof e?[e,e]:e}function wi(e,t){return t<=1?e:e+(e-1)*(t-1)}function xi(e,t){if(!t)return e;switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error("Unknown roundingMode "+t)}}function _i(e){var t=bi(e),n=t[0],r=t[1];return 1===n&&1===r}function Ei(e,t){return _i(e)||_i(t)}var Ni=rt({matMul_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=tt(e,"a","matMul"),i=tt(t,"b","matMul"),o=n?a.shape[a.rank-2]:a.shape[a.rank-1],s=r?i.shape[i.rank-1]:i.shape[i.rank-2],u=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],c=a.shape.slice(0,-2),f=i.shape.slice(0,-2),p=E(c),h=E(f);b(a.rank>=2&&i.rank>=2&&a.rank===i.rank,"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."),b(N(c,f),"Error in matMul: outer dimensions ("+c+") and ("+f+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."),b(o===s,"Error in matMul: inner shapes ("+o+") and ("+s+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match.");var d=a.shape.slice(0,-2).concat([u,l]),m=n?a.as3D(p,o,u):a.as3D(p,u,o),g=r?i.as3D(h,l,s):i.as3D(h,s,l);return ve.engine.runKernel(function(e){return e.batchMatMul(m,g,n,r)},{$a:m,$b:g},function(e){return n||r?!n&&r?{$a:function(){return e.matMul(g.toFloat(),!1,!1)},$b:function(){return e.matMul(m.toFloat(),!0,!1)}}:n&&!r?{$a:function(){return g.toFloat().matMul(e,!1,!0)},$b:function(){return m.toFloat().matMul(e,!1,!1)}}:{$a:function(){return g.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(m.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(g.toFloat(),!1,!0)},$b:function(){return m.toFloat().matMul(e,!0,!1)}}}).reshape(d)}}),Si=rt({dot_:function(e,t){var n=tt(e,"t1","dot"),r=tt(t,"t2","dot");b(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+".");var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];return b(a===i,"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),Oi=rt({outerProduct_:function(e,t){var n=tt(e,"v1","outerProduct"),r=tt(t,"v2","outerProduct");return b(1===n.rank&&1===r.rank,"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."),n.as2D(-1,1).matMul(r.as2D(1,-1))}});function ki(e,t,n,r,a,i){b(e.length===t.rank,"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match");var o=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),o=[1,e[0],e[1],e[2]]);var l=o[3],c=s.shape[3];b(4===o.length,"Error in conv2dDerInput: inShape must be length 4, but got length "+o.length+"."),b(4===s.rank,"Error in conv2dDerInput: dy must be rank 4, but got rank "+s.rank),b(4===n.rank,"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank),b(l===n.shape[2],"Error in conv2dDerInput: depth of input ("+l+") must match input depth for filter "+n.shape[2]+"."),b(c===n.shape[3],"Error in conv2dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[3]+"."),null!=i&&b(S(a),"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var f=vi(o,n.shape,r,1,a,i),p=ve.engine.runKernel(function(e){return e.conv2dDerInput(s,n,f)},{dy4D:s,filter:n},function(e){return{dy4D:function(){return Pi(e,n,r,a,"NHWC",1,i)},filter:function(){return Ai(e,s,n.shape,r,a,i)}}});return u?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function Ii(e,t,n,r,a,i){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),b(4===o.rank,"Error in conv2dDerFilter: input must be rank 4, but got shape "+o.shape+"."),b(4===s.rank,"Error in conv2dDerFilter: dy must be rank 4, but got shape "+s.shape+"."),b(4===n.length,"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."),b(o.shape[3]===n[2],"Error in conv2dDerFilter: depth of input "+o.shape[3]+") must match input depth in filter ("+n[2]+"."),b(s.shape[3]===n[3],"Error in conv2dDerFilter: depth of dy ("+s.shape[3]+") must match output depth for filter ("+n[3]+")."),null!=i&&b(S(a),"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var u=vi(o.shape,n,r,1,a,i);return ve.engine.runKernel(function(e){return e.conv2dDerFilter(o,s,u)},{x4D:o,dy4D:s})}var Ci=rt({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=tt(e,"x","conv1d"),u=tt(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),b(3===l.rank,"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."),b(3===u.rank,"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."),null!=o&&b(S(r),"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),b(l.shape[2]===u.shape[1],"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."),b(Ei(n,i),"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"),b("NWC"===a,"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported.");var f=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),p=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=Pi(p,f,[1,n],r,"NHWC",[1,i],o);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}}),Pi=rt({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=tt(e,"x","conv2d"),u=tt(t,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),b(4===l.rank,"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."),b(4===u.rank,"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."),null!=o&&b(S(r),"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),b(l.shape[3]===u.shape[2],"Error in conv2d: depth of input ("+l.shape[3]+") must match input depth for filter "+u.shape[2]+"."),b(Ei(n,i),"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),b("NHWC"===a,"Error in conv2d: got dataFormat of "+a+" but only NHWC is currently supported.");var f,p=vi(l.shape,u.shape,n,i,r,o);if(1!==p.filterHeight||1!==p.filterWidth||1!==p.dilationHeight||1!==p.dilationWidth||1!==p.strideHeight||1!==p.strideWidth||"SAME"!==p.padInfo.type&&"VALID"!==p.padInfo.type)f=ve.engine.runKernel(function(e){return e.conv2d(l,u,p)},{x:l,$filter:u},function(e){return b(_i(i),"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '"+i+"'"),{x:function(){return ki(l.shape,e,u,n,r)},$filter:function(){return Ii(l,e,u.shape,n,r)}}});else{var h=l.reshape([-1,p.inChannels]),d=u.reshape([p.inChannels,p.outChannels]);f=Ni(h,d).reshape(p.outShape)}return c?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}}),Ai=rt({conv2dDerFilter_:Ii}),Ti=rt({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=tt(e,"x","depthwiseConv2d"),u=tt(t,"filter","depthwiseConv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),b(4===l.rank,"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."),b(4===u.rank,"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."),b(l.shape[3]===u.shape[2],"Error in depthwiseConv2d: number of input channels ("+l.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."),null==i&&(i=[1,1]),b(Ei(n,i),"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),null!=o&&b(S(r),"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+".");var f=vi(l.shape,u.shape,n,i,r,o,!0),p=ve.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,f)},{x:l,$filter:u},function(e){return b(_i(i),"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+i+"'"),{x:function(){return function(e,t,n,r){var a=t,i=!1;3===t.rank&&(i=!0,a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var o=ve.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(a,n,r)},{dy4D:a});return i?o.as3D(o.shape[1],o.shape[2],o.shape[3]):o}(l.shape,e,u,f)},$filter:function(){return function(e,t,n,r){var a=e;3===e.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var i=t;return 3===i.rank&&(i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ve.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(a,i,r)},{x4D:a,dy4D:i})}(l,e,u.shape,f)}}});return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}}),Mi=rt({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=tt(e,"x","separableConv2d"),u=tt(t,"depthwiseFilter","separableConv2d"),l=tt(n,"pointwiseFilter","separableConv2d"),c=s,f=!1;if(3===s.rank&&(f=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");b(4===c.rank,"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."),b(4===u.rank,"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."),b(4===l.rank,"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."),b(1===l.shape[0],"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."),b(1===l.shape[1],"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got "+l.shape[1]+".");var p=u.shape[2],h=u.shape[3];b(l.shape[2]===p*h,"Error in separableConv2d: the third dimension of pointwise filter must be "+p*h+", but got "+l.shape[2]+".");var d=Ti(c,u,r,a,o,i),m=Pi(d,l,1,"valid",o);return f?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}}),Ri=rt({conv2dTranspose_:function(e,t,n,r,a,i){return ki(n,tt(e,"x","conv2dTranspose"),tt(t,"filter","conv2dTranspose"),r,a,i)}}),Di=rt({reverse_:function(e,t){var n=tt(e,"x","reverse");if(0===n.rank)return n.clone();var r=Ve(t,n.shape);return ve.engine.runKernel(function(e){return e.reverse(n,r)},{$x:n},function(e){return{$x:function(){return e.reverse(r)}}}).reshapeAs(n)}}),ji=rt({reverse1d_:function(e){var t=tt(e,"x","reverse");return b(1===t.rank,"Error in reverse1D: x must be rank 1 but got\n             rank "+t.rank+"."),Di(t,0)}}),Li=rt({reverse2d_:function(e,t){var n=tt(e,"x","reverse");return b(2===n.rank,"Error in reverse2D: x must be rank 2 but got\n             rank "+n.rank+"."),Di(n,t)}}),Bi=rt({reverse3d_:function(e,t){var n=tt(e,"x","reverse");return b(3===n.rank,"Error in reverse3D: x must be rank 3 but got\n             rank "+n.rank+"."),Di(n,t)}}),zi=rt({reverse4d_:function(e,t){var n=tt(e,"x","reverse");return b(4===n.rank,"Error in reverse4D: x must be rank 4 but got\n             rank "+n.rank+"."),Di(n,t)}});function Fi(e,t,n,r,a,i){var o=tt(e,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),null==r&&(r=[1,1]),b(4===s.rank,"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."),b(Ei(n,r),"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"),null!=i&&b(S(a),"Error in maxPool: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var l=yi(s.shape,t,n,r,a,i),c=ve.engine.runKernel(function(e,t){return t(e.maxPool(s,l))},{x:s},function(e,i){var o=i[0];return{x:function(){return function(e,t,n,r,a,i,o,s){var u=tt(e,"dy","maxPoolBackprop"),l=tt(t,"input","maxPoolBackprop"),c=tt(n,"output","maxPoolBackprop");b(l.rank===u.rank,"Rank of input ("+l.rank+") does not match rank of dy ("+u.rank+")"),null==i&&(i=[1,1]),b(Ei(a,i),"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+a+" and dilations '"+i+"'"),b(4===u.rank,"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."),b(4===l.rank,"Error in maxPoolBackprop: input must be rank 4 but got rank "+l.rank+".");var f=yi(l.shape,r,a,i,o,s);return ve.engine.runKernel(function(e){return e.maxPoolBackprop(u,l,c,f)},{$dy:u,$input:l})}(e,s,o,t,n,r,a)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function Vi(e,t,n,r,a,i){var o=tt(e,"x","avgPool");b("float32"===o.dtype,"The input dtype to avgPool must be float32"),null==r&&(r=[1,1]),b(Ei(n,r),"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'");var s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),b(4===s.rank,"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."),null!=i&&b(S(a),"Error in avgPool: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var l=yi(s.shape,t,n,r,a),c=ve.engine.runKernel(function(e){return e.avgPool(s,l)},{x:s},function(e){return{x:function(){return function(e,t,n,r,a,i){var o=tt(e,"dy","avgPoolBackprop"),s=tt(t,"input","avgPoolBackprop");b(s.rank===o.rank,"Rank of input ("+s.rank+") does not match rank of dy ("+o.rank+")"),null==a&&(a=[1,1]),b(Ei(r,a),"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+a+"'");var u=s,l=o,c=!1;3===s.rank&&(c=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),l=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),b(4===l.rank,"Error in avgPoolBackprop: dy must be rank 4 but got rank "+l.rank+"."),b(4===u.rank,"Error in avgPoolBackprop: input must be rank 4 but got rank "+u.rank+".");var f=yi(u.shape,n,r,a,i),p=ve.engine.runKernel(function(e){return e.avgPoolBackprop(l,u,f)},{dy4D:l,input4D:u});return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}(e,s,t,n,r,a)}}});return c=c.cast(o.dtype),u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}var Ui=rt({maxPool_:function(e,t,n,r,a){return Fi(e,t,n,1,r,a)}}),Wi=rt({avgPool_:function(e,t,n,r,a){return Vi(e,t,n,1,r,a)}}),qi=rt({pool_:function(e,t,n,r,a,i){null==a&&(a=[1,1]),null==i&&(i=1),0===r&&(r="valid");var o=tt(e,"x","maxPool"),s=o,u=!1;3===o.rank&&(u=!0,s=o.as4D(1,o.shape[0],o.shape[1],o.shape[2])),b(Ei(i,a),"Error in pool: Either strides or dilations must be 1. Got strides "+i+" and dilations '"+a+"'");var l,c=yi(s.shape,t,i,a,r),f=[c.dilationHeight,c.dilationWidth];l="same"===r?function(e,t){var n=e.map(function(e,n){return e+(e-1)*(t[n]-1)}).map(function(e){return e-1}),r=n.map(function(e){return Math.floor(e/2)}),a=n.map(function(e,t){return e-r[t]});return n.map(function(e,t){return[r[t],a[t]]})}([c.filterHeight,c.filterWidth],f):[[0,0],[0,0]];var p=1===f[0]&&1===f[1],h=function(e,t,n){var r=n.map(function(e){return e[0]}),a=n.map(function(e){return e[1]}),i=e.concat(r,a),o=t.map(function(e,t){return(e-i[t]%e)%e}),s=a.map(function(e,t){return e+o[t]});return[t.map(function(e,t){return[r[t],s[t]]}),t.map(function(e,t){return[0,o[t]]})]}([c.inHeight,c.inWidth],f,l),d=h[0],m=h[1],g=p?r:"valid",y=p?s:Ea(s,f,d),v=("avg"===n?function(){return Vi(y,t,i,1,g)}:function(){return Fi(y,t,i,1,g)})(),w=p?v:aa(v,f,m);return u?w.as3D(w.shape[1],w.shape[2],w.shape[3]):w}}),$i=rt({slice_:function(e,t,n){var r,a,i=tt(e,"x","slice");if(0===i.rank)throw new Error("Slicing scalar is not possible");r="number"==typeof t?[t].concat(new Array(i.rank-1).fill(0)):t.length<i.rank?t.concat(new Array(i.rank-t.length).fill(0)):t.slice(),a=(a=null==n?new Array(i.rank).fill(-1):"number"==typeof n?[n].concat(new Array(i.rank-1).fill(-1)):n.length<i.rank?n.concat(new Array(i.rank-n.length).fill(-1)):n).map(function(e,t){return e>=0?e:(b(-1===e,"Bad value in size"),i.shape[t]-r[t])}),function(e,t,n){b(e.rank===t.length,"Error in slice"+e.rank+"D: Length of begin "+t+" must match the rank of the array ("+e.rank+")."),b(e.rank===n.length,"Error in slice"+e.rank+"D: Length of size "+n+" must match the rank of the array ("+e.rank+").");for(var r=0;r<e.rank;++r)b(t[r]+n[r]<=e.shape[r],"Error in slice"+e.rank+"D: begin["+r+"] + size["+r+"] ("+(t[r]+n[r])+") would overflow input.shape["+r+"] ("+e.shape[r]+")")}(i,r,a);var o=i.shape;return ve.engine.runKernel(function(e){return e.slice(i,r,a)},{$x:i},function(e){for(var t=[],n=0;n<e.rank;n++)t.push([r[n],o[n]-r[n]-a[n]]);return{$x:function(){return e.pad(t)}}})}}),Gi=rt({slice1d_:function(e,t,n){var r=tt(e,"x","slice1d");return b(1===r.rank,"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"),$i(r,[t],[n])}}),Hi=rt({slice2d_:function(e,t,n){var r=tt(e,"x","slice2d");return b(2===r.rank,"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"),$i(r,t,n)}}),Ki=rt({slice3d_:function(e,t,n){var r=tt(e,"x","slice3d");return b(3===r.rank,"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"),$i(r,t,n)}}),Xi=rt({slice4d_:function(e,t,n){var r=tt(e,"x","slice4d");return b(4===r.rank,"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"),$i(r,t,n)}});function Yi(e,t,n,r,a){var i=t[0];return i.rank<n.rank&&(i=i.reshape(Fe(i.shape,r))),e.rank<n.rank&&(e=e.reshape(Fe(e.shape,r))),{$x:function(){var t=e.mul(n.equal(i).cast(e.dtype));return null==a?t:t.transpose(a)}}}var Ji=rt({all_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","all","bool");b("bool"===r.dtype,"Error Tensor must be of type bool. Got: "+r.dtype);var a=Ve(t,r.shape),i=a,o=We(i,r.rank);null!=o&&(r=r.transpose(o),i=$e(i.length,r.rank));var s=ve.engine.runKernel(function(e){return e.all(r,i)},{$x:r});if(n){var u=Fe(s.shape,a);return s.reshape(u)}return s}}),Zi=rt({any_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","any","bool");b("bool"===r.dtype,"Error Tensor must be of type bool. Got: "+r.dtype);var a=Ve(t,r.shape),i=a,o=We(i,r.rank);null!=o&&(r=r.transpose(o),i=$e(i.length,r.rank));var s=ve.engine.runKernel(function(e){return e.any(r,i)},{$x:r});if(n){var u=Fe(s.shape,a);return s.reshape(u)}return s}}),Qi=rt({argMax_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","argMax");null==t&&(t=0);var r=Ve(t,n.shape),a=We(r,n.rank);return null!=a&&(n=n.transpose(a),r=$e(r.length,n.rank)),ve.engine.runKernel(function(e){return e.argMax(n,r[0])},{$x:n},function(e){return{$x:function(){return Ct(n)}}})}}),eo=rt({argMin_:function(e,t){void 0===t&&(t=0);var n=tt(e,"x","argMin");null==t&&(t=0);var r=Ve(t,n.shape),a=We(r,n.rank);return null!=a&&(n=n.transpose(a),r=$e(r.length,n.rank)),ve.engine.runKernel(function(e){return e.argMin(n,r[0])},{$x:n},function(e){return{$x:function(){return Ct(n)}}})}}),to=rt({logSumExp_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","logSumExp"),a=Ve(t,r.shape),i=r.max(a,!0),o=r.sub(i).exp().sum(a).log(),s=i.reshape(o.shape).add(o);if(n){var u=Fe(s.shape,a);return s.reshape(u)}return s}}),no=rt({max_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","max"),a=r,i=Ve(t,r.shape),o=i,s=We(o,r.rank);null!=s&&(r=r.transpose(s),o=$e(o.length,r.rank));var u=ve.engine.runKernel(function(e,t){return t(e.max(r,o))},{$x:r},function(e,t){return Yi(e,t,a,i,s)});if(n){var l=Fe(u.shape,i);u=u.reshape(l)}return u}}),ro=rt({mean_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=tt(e,"x","mean"),a=Ve(t,r.shape),i=E(ze(r.shape,a)[1]);return Se(function(e){var r=ct(i);return{value:(r.dtype===e.dtype?e:e.cast(r.dtype)).div(r).sum(t,n),gradFunc:function(t){var n=e.shape.slice();return a.forEach(function(e){n[e]=1}),t.reshape(n).mul(yt(e.shape,"float32")).div(r)}}})(r)}}),ao=rt({min_:function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var 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i},e.prototype.any=function(e,t){this.assertNotComplex(e,"any"),Ue("any",t,e.rank);for(var n=ze(e.shape,t),r=n[0],a=n[1],i=vt(r,e.dtype),o=E(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];f=f||h}s[l]=f}return i},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],"squaredDifference"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){this.assertNotComplex(e,"ceil");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return re.make(e.shape,{values:n})},e.prototype.floor=function(e){this.assertNotComplex(e,"floor");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return re.make(e.shape,{values:n})},e.prototype.sign=function(e){this.assertNotComplex(e,"x");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return re.make(e.shape,{values:n})},e.prototype.round=function(e){this.assertNotComplex(e,"round");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=Math.floor(t[r]);t[r]-a<.5?n[r]=Math.floor(t[r]):t[r]-a>.5?n[r]=Math.ceil(t[r]):n[r]=a%2==0?a:a+1}return re.make(e.shape,{values:n})},e.prototype.exp=function(e){this.assertNotComplex(e,"exp");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return re.make(e.shape,{values:n})},e.prototype.expm1=function(e){this.assertNotComplex(e,"expm1");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return re.make(e.shape,{values:n})},e.prototype.log=function(e){this.assertNotComplex(e,"log");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log(a)}return re.make(e.shape,{values:n})},e.prototype.log1p=function(e){this.assertNotComplex(e,"log1p");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log1p(a)}return re.make(e.shape,{values:n})},e.prototype.sqrt=function(e){this.assertNotComplex(e,"sqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.sqrt(a)}return re.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,"rsqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=1/Math.sqrt(a)}return re.make(e.shape,{values:n})},e.prototype.square=function(e){this.assertNotComplex(e,"square");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=a*a}return re.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,"reciprocal");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return re.make(e.shape,{values:n})},e.prototype.relu=function(e){this.assertNotComplex(e,"relu");for(var t=vt(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,"elu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?a:Math.exp(a)-1}return re.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],"eluDer");for(var n=new Float32Array(t.size),r=t.dataSync(),a=e.dataSync(),i=0;i<r.length;++i){var o=r[i];n[i]=o>=1?a[i]:a[i]*(o+1)}return re.make(t.shape,{values:n})},e.prototype.selu=function(e){this.assertNotComplex(e,"selu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?1.0507009873554805*a:1.7580993408473768*(Math.exp(a)-1)}return re.make(e.shape,{values:t})},e.prototype.clip=function(e,t,n){this.assertNotComplex(e,"clip");for(var r=new Float32Array(e.size),a=e.dataSync(),i=0;i<a.length;++i){var o=a[i];r[i]=o>n?n:o<t?t:o}return re.make(e.shape,{values:r})},e.prototype.abs=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return re.make(e.shape,{values:t})},e.prototype.complexAbs=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<e.size;++r){var a=n[2*r],i=n[2*r+1];t[r]=Math.sqrt(a*a+i*i)}return re.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,"int");for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return re.make(e.shape,{values:t},"int32")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,"sigmoid");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return re.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,"softplus");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i,o=r[a]>-t,s=r[a]<t,u=Math.exp(r[a]);i=s?u:o?r[a]:Math.log(1+u),n[a]=i}return re.make(e.shape,{values:n})},e.prototype.sin=function(e){this.assertNotComplex(e,"sin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return re.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,"cos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return re.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,"tan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return re.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,"asin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return re.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,"acos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return re.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,"atan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return re.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],"atan2"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,"sinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return re.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,"cosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return re.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,"tanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=O(n[r]);return re.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,"asinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return re.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,"acosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return re.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,"atanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return re.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,"erf");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r],i=1/(1+.3275911*a);t[r]=1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a)}return re.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,"step");for(var n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i=r[a];isNaN(i)?n[a]=NaN:n[a]=i>0?1:t}return re.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){this.assertNotComplex([e,t],"conv2d");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=na(n.outShape,e.dtype),c=e.dataSync(),f=t.dataSync(),p=l.values,h=0;h<n.batchSize;++h)for(var d=h*e.strides[0],m=h*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],v=g*n.strideHeight-s,b=0;b<r;b++){var w=v+b*i;if(!(w<0||w>=n.inHeight))for(var x=b*t.strides[0],_=d+w*e.strides[1],E=0;E<n.outWidth;++E)for(var N=y+E*n.outChannels,S=E*n.strideWidth-u,O=0;O<a;O++){var k=S+O*o;if(!(k<0||k>=n.inWidth))for(var I=x+O*t.strides[1],C=_+k*n.inChannels,P=I,A=0;A<n.inChannels;++A){for(var T=c[C+A],M=0;M<n.outChannels;++M)p[N+M]+=T*f[P+M];P+=n.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerInput");for(var r=na(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=0;T<b;++T)for(var M=0;M<_;++M)for(var R=0;R<E;++R)for(var D=R-P,j=Math.max(0,Math.ceil(D/I)),L=Math.min(O,(w+D)/I),B=0;B<N;++B){for(var z=B-A,F=Math.max(0,Math.ceil(z/C)),V=Math.min(k,(x+z)/C),U=0,W=j;W<L;++W)for(var q=W*I-D,$=F;$<V;++$)for(var G=f*T+p*W+h*$,H=g*(w-1-q)+y*(x-1-($*C-z))+v*M,K=0;K<S;++K)U+=l[G+K]*d[H+K];a[o*T+s*R+u*B+M]=U}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=na(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<i;++c)for(var f=Math.max(0,Math.ceil((l-c)/r)),p=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<o;++h)for(var d=Math.max(0,Math.ceil((u-h)/a)),m=Math.min(n.outWidth,(n.inWidth+u-h)/a),g=0;g<n.inChannels;++g)for(var y=0;y<n.outChannels;++y){for(var v=0,b=0;b<n.batchSize;++b)for(var w=f;w<p;++w)for(var x=c+w*r-l,_=d;_<m;++_){var E=h+_*a-u;v+=e.get(b,x,E,g)*t.get(b,w,_,y)}s.set(v,c,h,g,y)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=na(n.outShape,e.dtype),f=e.dataSync(),p=t.dataSync(),h=c.values,d=0;d<n.batchSize;++d)for(var m=d*e.strides[0],g=d*c.strides[0],y=0;y<n.outHeight;++y)for(var v=g+y*c.strides[1],b=y*n.strideHeight-s,w=0;w<r;++w){var x=b+w*i;if(!(x<0||x>=n.inHeight))for(var _=w*t.strides[0],E=m+x*e.strides[1],N=0;N<n.outWidth;++N)for(var S=v+N*c.strides[2],O=N*n.strideWidth-u,k=0;k<a;++k){var I=O+k*o;if(!(I<0||I>=n.inWidth))for(var C=_+k*t.strides[1],P=E+I*n.inChannels,A=S,T=C,M=0;M<n.inChannels;++M){for(var R=f[P+M],D=0;D<l;++D)h[A+D]+=R*p[T+D];A+=l,T+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerInput");for(var r=na(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=S/_,M=0;M<b;++M)for(var R=0;R<_;++R)for(var D=0;D<E;++D)for(var j=D-P,L=Math.max(0,Math.ceil(j/I)),B=Math.min(O,(w+j)/I),z=0;z<N;++z){for(var F=z-A,V=Math.max(0,Math.ceil(F/C)),U=Math.min(k,(x+F)/C),W=0,q=L;q<B;++q)for(var $=q*I-j,G=V;G<U;++G)for(var H=f*M+p*q+h*G,K=g*(w-1-$)+y*(x-1-(G*C-F))+v*R,X=0;X<T;++X)W+=l[H+(R*T+X)]*d[K+X];a[o*M+s*D+u*z+R]=W}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=na(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,f=0;f<i;++f)for(var p=Math.max(0,Math.ceil((l-f)/r)),h=Math.min(n.outHeight,(n.inHeight+l-f)/r),d=0;d<o;++d)for(var m=Math.max(0,Math.ceil((u-d)/a)),g=Math.min(n.outWidth,(n.inWidth+u-d)/a),y=0;y<n.outChannels;++y){for(var v=Math.trunc(y/c),b=y%c,w=0,x=0;x<n.batchSize;++x)for(var _=p;_<h;++_)for(var E=f+_*r-l,N=m;N<g;++N){var S=d+N*a-u;w+=e.get(x,E,S,v)*t.get(x,_,N,y)}s.set(w,f,d,v,b)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,"tile");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var a=na(n,e.dtype),i=e.buffer();for(r=0;r<a.values.length;++r){for(var o=a.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=o[u]%e.shape[u];var l=i.locToIndex(s);a.values[r]=i.values[l]}return a.toTensor()},e.prototype.pad=function(e,t,n){this.assertNotComplex(e,"pad");var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),a=t.map(function(e){return e[0]}),i=e.buffer(),o=na(r,e.dtype);0!==n&&o.values.fill(n);for(var s=0;s<e.size;s++){var u=i.indexToLoc(s),l=u.map(function(e,t){return e+a[t]});o.set.apply(o,[e.get.apply(e,u)].concat(l))}return o.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,"transpose");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var a=e.dataSync(),i=na(n,e.dtype),o=e.buffer();for(r=0;r<e.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=i.locToIndex(u);i.values[c]=a[r]}return i.toTensor()},e.prototype.gather=function(e,t,n){this.assertNotComplex([e,t],"gather");var r=e.shape.slice(),a=t.dataSync();r[n]=a.length;for(var i=na(r,e.dtype),o=e.buffer(),s=0;s<i.size;++s){var u=i.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=o.locToIndex(l);i.values[s]=o.values[c]}return i.toTensor()},e.prototype.batchToSpaceND=function(e,t,n){this.assertNotComplex([e],"batchToSpaceND");var r=t.reduce(function(e,t){return e*t}),a=Me(e.shape,t,r),i=Re(a.length,t.length),o=De(e.shape,t,r),s=je(n,t.length),u=Le(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){this.assertNotComplex([e],"spaceToBatchND");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Me(o.shape,t,r,!1),u=Re(s.length,t.length,!1),l=De(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,n){this.assertNotComplex(e,"pool");for(var r=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,f="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,p=e.dataSync(),h=na(t.outShape,e.dtype),d=h.values,m=t.outShape[1]*t.outShape[2]*t.outShape[3],g=t.outShape[2]*t.outShape[3],y=t.outShape[3],v=0;v<t.batchSize;++v)for(var b=v*m,w=v*e.strides[0],x=0;x<t.inChannels;++x)for(var _=0;_<t.outHeight;++_)for(var E=_*r-l,N=Math.max(0,E),S=Math.min(t.inHeight,s+E),O=b+_*g,k=0;k<t.outWidth;++k){for(var I=k*a-c,C=Math.max(0,I),P=Math.min(t.inWidth,u+I),A=f,T=0,M=0,R=N;R<S;R+=i){for(var D=w+R*e.strides[1],j=C;j<P;j+=o){var L=p[D+j*e.strides[2]+x];"max"===n&&L>A?A=L:"avg"===n&&(T+=L,M++)}if(isNaN(A))break}d[O+k*y+x]="avg"===n?T/M:A}return h.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,"max")},e.prototype.maxPoolPositions=function(e,t){for(var n=na(t.outShape,"int32"),r=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,o=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,f=0;f<t.batchSize;++f)for(var p=0;p<t.inChannels;++p)for(var h=0;h<t.outHeight;++h){for(var d=h*r-l,m=d;m<0;)m+=i;for(var g=Math.min(t.inHeight,s+d),y=0;y<t.outWidth;++y){for(var v=y*a-c,b=v;b<0;)b+=o;for(var w=Math.min(t.inWidth,u+v),x=Number.NEGATIVE_INFINITY,_=-1,E=m;E<g;E+=i)for(var N=E-d,S=b;S<w;S+=o){var O=S-v,k=e.get(f,E,S,p);k>x&&(x=k,_=N*u+O)}n.set(_,f,h,y,p)}}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){this.assertNotComplex([t,n],"maxPoolBackprop");for(var a=this.maxPoolPositions(t,r),i=r.strideHeight,o=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,f=c-1-r.padInfo.left,p=l-1-r.padInfo.top,h=na(t.shape,"float32"),d=0;d<r.batchSize;++d)for(var m=0;m<r.inChannels;++m)for(var g=0;g<r.inHeight;++g)for(var y=0;y<r.inWidth;++y){for(var v=g-p,b=y-f,w=0,x=0;x<l;x+=s){var _=(v+x)/i;if(!(_<0||_>=r.outHeight||Math.floor(_)!==_))for(var E=0;E<c;E+=u){var N=(b+E)/o;if(!(N<0||N>=r.outWidth||Math.floor(N)!==N)){var S=l*c-1-a.get(d,_,N,m)===x*c+E?1:0;0!==S&&(w+=e.get(d,_,N,m)*S)}}}h.set(w,d,g,y,m)}return h.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){this.assertNotComplex([e,t],"avgPoolBackprop");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,f=c-1-n.padInfo.left,p=l-1-n.padInfo.top,h=na(t.shape,"float32"),d=1/(i*o),m=0;m<n.batchSize;++m)for(var g=0;g<n.inChannels;++g)for(var y=0;y<n.inHeight;++y)for(var v=0;v<n.inWidth;++v){for(var b=y-p,w=v-f,x=0,_=0;_<l;_+=s){var E=(b+_)/r;if(!(E<0||E>=n.outHeight||Math.floor(E)!==E))for(var N=0;N<c;N+=u){var S=(w+N)/a;S<0||S>=n.outWidth||Math.floor(S)!==S||(x+=e.get(m,E,S,g))}}h.set(x*d,m,y,v,g)}return h.toTensor()},e.prototype.cast=function(e,t){return Dt(e,t,this)},e.prototype.reshape=function(e,t){return jt(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,"avgPool"),this.pool(e,t,"avg").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){this.assertNotComplex(e,"resizeBilinear");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=e.dataSync(),c=new Float32Array(E([i,t,n,u])),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=0,d=f[0]/p[0],m=f[1]/p[1],g=0;g<i;g++)for(var y=0;y<t;y++)for(var v=d*y,b=Math.floor(v),w=v-b,x=Math.min(o-1,Math.ceil(v)),_=g*e.strides[0]+b*e.strides[1],N=g*e.strides[0]+x*e.strides[1],S=0;S<n;S++)for(var O=m*S,k=Math.floor(O),I=O-k,C=Math.min(s-1,Math.ceil(O)),P=_+k*e.strides[2],A=N+k*e.strides[2],T=_+ +C*e.strides[2],M=N+C*e.strides[2],R=0;R<u;R++){var D=l[P+R],j=l[A+R],L=D+(l[T+R]-D)*I,B=L+(j+(l[M+R]-j)*I-L)*w;c[h++]=B}return lt(c,[i,t,n,u])},e.prototype.resizeBilinearBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeBilinearBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=new Float32Array(a*i*o*s),p=[n&&l>1?i-1:i,n&&c>1?o-1:o],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=p[0]/h[0],m=p[1]/h[1],g=e.dataSync(),y=0,v=0;v<a;v++)for(var b=v*t.strides[0],w=0;w<l;w++)for(var x=w*d,_=Math.floor(x),E=Math.min(Math.ceil(x),i-1),N=b+_*t.strides[1],S=b+E*t.strides[1],O=x-_,k=1-O,I=0;I<c;I++)for(var C=I*m,P=Math.floor(C),A=Math.min(Math.ceil(C),o-1),T=C-P,M=1-T,R=N+P*t.strides[2],D=N+A*t.strides[2],j=S+P*t.strides[2],L=S+A*t.strides[2],B=k*M,z=k*T,F=O*M,V=O*T,U=0;U<s;U++){var W=g[y++];f[R+U]+=W*B,f[D+U]+=W*z,f[j+U]+=W*F,f[L+U]+=W*V}return dt(f,[a,o,i,s],t.dtype)},e.prototype.resizeNearestNeighbor=function(e,t,n,r){this.assertNotComplex(e,"resizeNearestNeighbor");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=e.dataSync(),c=new Float32Array(i*t*n*u),f=[r&&t>1?o-1:o,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=f[0]/p[0],d=f[1]/p[1],m=0,g=0;g<i;g++)for(var y=g*e.strides[0],v=0;v<t;v++)for(var b=h*v,w=y+Math.min(o-1,r?Math.round(b):Math.floor(b))*e.strides[1],x=0;x<n;x++)for(var _=d*x,E=w+Math.min(s-1,r?Math.round(_):Math.floor(_))*e.strides[2],N=0;N<u;N++){var S=l[E+N];c[m++]=S}return lt(c,[i,t,n,u],e.dtype)},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeNearestNeighborBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=new Float32Array(a*i*o*s),p=e.dataSync(),h=[n&&l>1?i-1:i,n&&c>1?o-1:o],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=h[0]/d[0],g=h[1]/d[1],y=1/m,v=1/g,b=2*Math.ceil(y)+2,w=2*Math.ceil(v)+2,x=0;x<a;x++)for(var _=x*t.strides[0],E=0;E<i;E++)for(var N=_+E*t.strides[1],S=Math.floor(E*y),O=Math.floor(S-b/2),k=0;k<o;k++)for(var I=N+k*t.strides[2],C=Math.floor(k*v),P=Math.floor(C-w/2),A=0;A<s;A++){for(var T=0,M=0;M<b;M++){var R=M+O;if(!(R<0||R>=l)){var D=_+R*e.strides[1],j=R*m;if(E===Math.min(i-1,n?Math.round(j):Math.floor(j)))for(var L=0;L<w;L++){var B=L+P;if(!(B<0||B>=c)){var z=D+B*e.strides[2],F=B*g;k===Math.min(o-1,n?Math.round(F):Math.floor(F))&&(T+=p[z+A])}}}}f[I+A]=T}return dt(f,t.shape,t.dtype)},e.prototype.batchNormalization=function(e,t,n,r,a,i){this.assertNotComplex([e,t,n,a,i],"batchNormalization");for(var o=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=a?a.dataSync():new Float32Array([1]),c=i?i.dataSync():new Float32Array([0]),f=new Float32Array(o.length),p=c.length,h=l.length,d=u.length,m=s.length,g=0,y=0,v=0,b=0,w=0;w<o.length;++w)f[w]=c[g++]+(o[w]-s[y++])*l[v++]/Math.sqrt(u[b++]+r),g>=p&&(g=0),y>=m&&(y=0),v>=h&&(v=0),b>=d&&(b=0);return dt(f,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){this.assertNotComplex(e,"localResponseNormalization4D");var i=e.shape[3],o=i-1,s=e.dataSync(),u=E(e.shape),l=new Float32Array(u);function c(e){for(var n=e%i,r=e-n+Math.max(0,n-t),a=e-n+Math.min(n+t,o),u=0;r<=a;r++){var l=s[r];u+=l*l}return u}for(var f=0;f<u;f++){var p=c(f),h=s[f]*Math.pow(n+r*p,-a);l[f]=h}return dt(l,e.shape)},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){this.assertNotComplex(e,"LRNGrad");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=n.dataSync(),f=new Float32Array(E(e.shape)),p=E(e.shape),h=0;h<p;h++){for(var d=h%s,m=h-d+Math.max(0,d-r),g=h-d+Math.min(s,d+r+1),y=0,v=m;v<g;v++)y+=Math.pow(l[v],2);for(y=i*y+a,v=m;v<g;v++){var b=-2*i*o*l[v]*c[h]/y;h===v&&(b+=Math.pow(y,-o)),b*=u[h],f[v]+=b}}return dt(f,e.shape)},e.prototype.multinomial=function(e,t,n,r){this.assertNotComplex(e,"multinomial");for(var a=t?e:at(e),i=a.shape[0],o=a.shape[1],s=vt([i,n],"int32"),u=s.dataSync(),l=a.dataSync(),c=0;c<i;++c){var f=c*o,p=new Float32Array(o-1);p[0]=l[f];for(var h=1;h<p.length;++h)p[h]=p[h-1]+l[f+h];for(var d=Qr(r.toString()),m=c*n,g=0;g<n;++g){var y=d();u[m+g]=p.length;for(var v=0;v<p.length;v++)if(y<p[v]){u[m+g]=v;break}}}return s},e.prototype.oneHot=function(e,t,n,r){this.assertNotComplex(e,"oneHot");var a=new Float32Array(e.size*t);a.fill(r);for(var i=0;i<e.size;++i)e.get(i)>=0&&e.get(i)<t&&(a[i*t+e.get(i)]=n);return pt(a,[e.size,t],"int32")},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return this.assertNotComplex(e,"nonMaxSuppression"),Vt(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.fft=function(e){if(1!==e.shape[0])throw new Error("tf.fft() on CPU only supports vectors.");return this.fftImpl(e,!1)},e.prototype.ifft=function(e){if(1!==e.shape[0])throw new Error("tf.ifft() on CPU only supports vectors.");return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var n=e.as1D(),r=n.size;if(this.isExponentOf2(r)){var a=this.fftRadix2(n,r,t).as2D(e.shape[0],e.shape[1]);return t&&(a=ot(st(a).div(ct(r)),ut(a).div(ct(r)))),a}var i=e.dataSync(),o=function(e){for(var t=new Float32Array(e.length/2),n=new Float32Array(e.length/2),r=0;r<e.length;r+=2)t[r/2]=e[r],n[r/2]=e[r+1];return{real:t,imag:n}}(this.fourierTransformByMatmul(i,r,t));return ot(o.real,o.imag).as2D(e.shape[0],e.shape[1])},e.prototype.isExponentOf2=function(e){return 0==(e&e-1)},e.prototype.fftRadix2=function(e,t,n){if(1===t)return e;var r=e.dataSync(),a=t/2,i=function(e){for(var t=Math.ceil(e.length/4),n=new Float32Array(t),r=new Float32Array(t),a=0;a<e.length;a+=4)n[Math.floor(a/4)]=e[a],r[Math.floor(a/4)]=e[a+1];return{real:n,imag:r}}(r),o=ot(i.real,i.imag).as1D(),s=function(e){for(var t=Math.floor(e.length/4),n=new Float32Array(t),r=new Float32Array(t),a=2;a<e.length;a+=4)n[Math.floor(a/4)]=e[a],r[Math.floor(a/4)]=e[a+1];return{real:n,imag:r}}(r),u=ot(s.real,s.imag).as1D();o=this.fftRadix2(o,a,n),u=this.fftRadix2(u,a,n);var l=function(e,t){for(var n=new Float32Array(e/2),r=new Float32Array(e/2),a=0;a<Math.ceil(e/2);a++){var i=(t?2:-2)*Math.PI*(a/e);n[a]=Math.cos(i),r[a]=Math.sin(i)}return{real:n,imag:r}}(t,n),c=ot(l.real,l.imag).mul(u),f=o.add(c),p=o.sub(c),h=st(f).concat(st(p)),d=ut(f).concat(ut(p));return ot(h,d).as1D()},e.prototype.fourierTransformByMatmul=function(e,t,n){for(var r=new Float32Array(2*t),a=0;a<t;a++){for(var i=0,o=0,s=0;s<t;s++){var u=Ft(a*s,t,n),l=Bt(e,s);i+=l.real*u.real-l.imag*u.imag,o+=l.real*u.imag+l.imag*u.real}n&&(i/=t,o/=t),zt(r,i,o,a)}return r},e.prototype.depthToSpace=function(e,t,n){b("NHWC"===n,"Only NHWC dataFormat supported on CPU for depthToSpace. 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 /**
  * @license
  * Copyright 2018 Google LLC. All Rights Reserved.
@@ -32,7 +32,7 @@ var o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__p
  * limitations under the License.
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this.throwIfDisposed(),J.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),J.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,n,r,a){return void 0===r&&(r=0),void 0===a&&(a=0),this.throwIfDisposed(),J.stridedSlice(this,e,t,n,r,a)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),J.depthToSpace(this,e,t)},e.nextId=0,e}();Object.defineProperty(Q,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.shape&&null!=e.dtype}});var ee=function(e){function t(n,r,a){void 0===r&&(r=!0);var i=e.call(this,n.shape,n.dtype,null,n.dataId)||this;i.trainable=r,i.name=a,null==i.name&&(i.name=t.nextVarId.toString(),t.nextVarId++);try{Y().registerVariable(i)}catch(e){throw Y().disposeTensor(i),e}return i}return s(t,e),t.variable=function(e,n,r,a){return void 0===n&&(n=!0),null!=a&&a!==e.dtype&&(e=e.asType(a)),new t(e,n,r)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the 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"),T(e)||Array.isArray(e)||(e=[e]),t=t||r,Q.make(t,{values:L(e,n,me.get("DEBUG"))},n)}function rt(e,t){if(void 0===t&&(t="float32"),(T(e)||Array.isArray(e))&&"complex64"!==t)throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean)");return nt(e,[],t)}function at(e,t){void 0===t&&(t="float32"),g(e);var n=v(e);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return nt(e,n,t)}function it(e,t,n){if(void 0===n&&(n="float32"),g(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=v(e);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return nt(e,t=t||r,n)}function ot(e,t,n){if(void 0===n&&(n="float32"),g(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=v(e);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return nt(e,t=t||r,n)}function st(e,t,n){if(void 0===n&&(n="float32"),g(e),null!=t&&4!==t.length)throw new Error("tensor4d() requires shape to have four numbers");var r=v(e);if(4!==r.length&&1!==r.length)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return nt(e,t=t||r,n)}function ut(e,t,n){if(void 0===n&&(n="float32"),g(e),null!=t&&5!==t.length)throw new Error("tensor5d() requires shape to have five numbers");var r=v(e);if(5!==r.length&&1!==r.length)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return nt(e,t=t||r,n)}function lt(e,t,n){if(void 0===n&&(n="float32"),g(e),null!=t&&6!==t.length)throw new Error("tensor6d() requires shape to have six numbers");var r=v(e);if(6!==r.length&&1!==r.length)throw new Error("tensor6d() requires values to be number[][][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return nt(e,t=t||r,n)}function ct(e,t){if(void 0===t&&(t="float32"),"complex64"===t){var n=ct(e,"float32"),r=ct(e,"float32");return Qe(n,r)}var a=B(b(e),t);return Q.make(e,{values:a},t)}function ft(e,t){if(void 0===t&&(t="float32"),"complex64"===t){var n=ft(e,"float32"),r=ft(e,"float32");return Qe(n,r)}var a=z(b(e),t);return Q.make(e,{values:a},t)}function pt(e,t,n){void 0===n&&(n="float32");var r=I(n,b(e));return r.fill(t),Q.make(e,{values:r},n)}function ht(e,t,n){if(0===n)throw new Error("Cannot request zero samples");var r=(t-e)/(n-1),a=z(n,"float32");a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+r;return at(a,"float32")}function dt(e,t,n,r){if(void 0===n&&(n=1),void 0===r&&(r="float32"),0===n)throw new Error("Cannot have a step of zero");if(e===t||e<t&&n<0||t<e&&n>1)return ft([0],r);var a=z(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),a[0]=e;for(var i=1;i<a.length;i++)a[i]=a[i-1]+n;return at(a,r)}var mt,gt,yt,vt,bt,wt,xt=Je({onesLike_:function(e){var t=Xe(e,"x","onesLike");return ct(t.shape,t.dtype)}}),_t=Je({zerosLike_:function(e){var t=Xe(e,"x","zerosLike");return ft(t.shape,t.dtype)}});!function(e){e.float32="float32",e.int32="int32",e.bool="bool"}(mt||(mt={})),function(e){e.R0="R0",e.R1="R1",e.R2="R2",e.R3="R3",e.R4="R4",e.R5="R5",e.R6="R6"}(gt||(gt={})),function(e){e.float32="float32",e.int32="int32",e.bool="int32",e.complex64="complex64"}(yt||(yt={})),function(e){e.float32="float32",e.int32="int32",e.bool="bool",e.complex64="complex64"}(vt||(vt={})),function(e){e.float32="float32",e.int32="float32",e.bool="float32",e.complex64="complex64"}(bt||(bt={})),function(e){e.float32="complex64",e.int32="complex64",e.bool="complex64",e.complex64="complex64"}(wt||(wt={}));var Et={float32:bt,int32:yt,bool:vt,complex64:wt};function Nt(e,t){return Et[e][t]}function St(e){return Nt(e,"int32")}function Ot(e,t,n){if("complex64"===t){if("complex64"===e.dtype)return e.clone();var r=ft(e.shape),a=e.toFloat(),i=n.complex(a,r);return r.dispose(),a.dispose(),i}if(!A(e.dtype,t))return Q.make(e.shape,{dataId:e.dataId},t);if("complex64"===e.dtype){var o=n.real(e);return i=o.cast(t),o.dispose(),i}if("int32"===t)return n.int(e);if("bool"===t){var s=rt(0,e.dtype);return i=n.notEqual(e,s),s.dispose(),i}throw new Error("Error in Cast: unknown dtype argument ("+t+")")}function kt(e,t){return Q.make(t,{dataId:e.dataId},e.dtype)}function It(e,t){if(e.length!==t.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+e.length+", imag: "+t.length+".");for(var n=new Float32Array(2*e.length),r=0;r<n.length;r+=2)n[r]=e[r/2],n[r+1]=t[r/2];return n}function Ct(e,t,n,r,a){for(var i=Array.from(t).map(function(e,t){return{score:e,boxIndex:t}}).filter(function(e){return e.score>a}).sort(function(e,t){return t.score-e.score}),o=[],s=0;s<i.length;s++){var u=i[s],l=u.score,c=u.boxIndex;if(l<a)break;for(var f=!1,p=o.length-1;p>=0;--p)if(Pt(e,c,o[p])>=r){f=!0;break}if(!f&&(o.push(c),o.length>=n))break}return at(o,"int32")}function Pt(e,t,n){var r=e.subarray(4*t,4*t+4),a=e.subarray(4*n,4*n+4),i=Math.min(r[0],r[2]),o=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(a[0],a[2]),c=Math.min(a[1],a[3]),f=Math.max(a[0],a[2]),p=Math.max(a[1],a[3]),h=(s-i)*(u-o),d=(f-l)*(p-c);if(h<=0||d<=0)return 0;var m=Math.max(i,l),g=Math.max(o,c),y=Math.min(s,f),v=Math.min(u,p),b=Math.max(y-m,0)*Math.max(v-g,0);return b/(h+d-b)}function At(e,t,n){var r=Array(e.rank).fill(0),a=e.shape.slice();return t.map(function(t){a[n]=t;var i=e.slice(r,a);return r[n]+=t,i})}function Tt(e,t,n,r,a){for(var i=t[t.length-1],o=[e.length/i,i],s=o[0],u=o[1],l=I(n,s*r),c=I("int32",s*r),f=0;f<s;f++){for(var p=f*u,h=e.subarray(p,p+u),d=[],m=0;m<h.length;m++)d.push({value:h[m],index:m});d.sort(function(e,t){return t.value-e.value});var g=f*r,y=l.subarray(g,g+r),v=c.subarray(g,g+r);for(m=0;m<r;m++)y[m]=d[m].value,v[m]=d[m].index}var b=t.slice();return b[b.length-1]=r,[nt(l,b,n),nt(c,b,"int32")]}function Mt(e,t){for(var n=e.length,r=[],a=0;a<n;a++){var i=n-1-a,o=e[i]||1;(t[t.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function Rt(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],i=t.length-r-1,o=t[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function Dt(e,t){for(var n=[],r=Math.max(e.length,t.length),a=0;a<r;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");n.unshift(i)}}return n}var jt=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.supportsBroadcasting=!0,this.outputShape=Dt(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},Lt="return a + b;",Bt="return a - b;",zt=function(){function e(e,t,n){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.outputShape=Dt(t,n),this.userCode="\n      uniform float NAN;\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,"NAN"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}();function Ft(e,t,n,r){var a=e.map(function(e){var t=b(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?"uniform float "+e.name+(t>1?"["+t+"]":"")+";":"uniform sampler2D "+e.name+";"});a=a.join("\n");var i,o=e.map(function(e){return function(e,t,n){var r=function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1)+"Flat",r=b(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?"float "+n+"(int index) {return "+t+";}":"\n      float "+n+"(int index) {\n        for (int i = 0; i < "+r+"; i++) {\n          if (i == index) {\n            return "+t+"[i];\n          }\n        }\n      }\n    ";var a=e.shapeInfo.texShape,i=a[0],o=a[1];return 1===o&&1===i?"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR);\n      }\n    ":1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / "+i+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index) + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = UVfrom1D("+i+", "+o+", index);\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);return r+=function e(t){var n=t.shapeInfo.logicalShape;switch(n.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?"float "+n+"() {return "+t+";}":"\n    float "+n+"() {\n      return sampleTexture("+t+", halfCR);\n    }\n  "}(t);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return"\n    float "+n+"(int index) {\n      return "+n+"Flat(index);\n    }\n  "}(t);case 2:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape;if(null!=i&&w(n,i)){var o=i[0];return"\n    float "+a+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var s=k(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n      "+e($t(t,c))+"\n      float "+a+"(int row, int col) {\n        return "+a+"("+Gt(["row","col"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col) {\n        int index = row * "+n[1]+" + col;\n        return "+a+"Flat(index);\n      }\n    ";var f=i[0],p=i[1];return 1===p?"\n    float "+a+"(int row, int col) {\n      int index = row * "+n[1]+" + col;\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===f?"\n    float "+a+"(int row, int col) {\n      int index = row * "+n[1]+" + col;\n      vec2 uv = vec2((float(index) + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+a+"(int row, int col) {\n    vec2 uv = UVfrom2D("+f+", "+p+", "+n[1]+", row, col);\n    return sampleTexture("+r+", uv);\n  }\n"}(t);case 3:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=k(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n        "+e($t(t,c))+"\n        float "+a+"(int row, int col, int depth) {\n          return "+a+"("+Gt(["row","col","depth"],l)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth) {\n        int index = row * "+i+" + col * "+o+" + depth;\n        return "+a+"Flat(index);\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===i?"\n        float "+a+"(int row, int col, int depth) {\n          int texR = row;\n          int texC = col * "+o+" + depth;\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+h+".0, "+p+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ":h===o?"\n    float "+a+"(int row, int col, int depth) {\n      int texR = row * "+n[1]+" + col;\n      int texC = depth;\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n      float "+a+"(int row, int col, int depth) {\n        vec2 uv = UVfrom3D(\n            "+p+", "+h+", "+i+", "+o+", row, col, depth);\n        return sampleTexture("+r+", uv);\n      }\n  "}(t);case 4:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=k(n),l=u.newShape,c=u.keptDims;if(l.length<n.length)return"\n      "+e($t(t,l))+"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        return "+a+"("+Gt(["row","col","depth","depth2"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int index = row * "+s+" + col * "+o+" +\n            depth * "+i+" + depth2;\n        return "+a+"Flat(index);\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===s?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int texR = row;\n        int texC = col * "+o+" + depth * "+i+" + depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":h===i?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int texR = row * "+n[1]*n[2]+" + col * "+n[2]+" + depth;\n        int texC = depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      vec2 uv = UVfrom4D("+p+", "+h+", "+s+", "+o+",\n          "+i+", row, col, depth, depth2);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 5:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[4],o=n[3]*i,s=n[2]*o,u=n[1]*s,l=k(n),c=l.newShape,f=l.keptDims;if(c.length<n.length)return"\n      "+e($t(t,c))+"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+a+"("+Gt(["row","col","depth","depth2","depth3"],f)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int index = row * "+u+" + col * "+s+" +\n            depth * "+o+" + depth2 * "+i+" + depth3;\n        return "+a+"Flat(index);\n      }\n    ";var p=t.shapeInfo.texShape,h=p[0],d=p[1];return d===u?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        int texC = col * "+s+" + depth * "+o+" +\n                   depth2 * "+i+" + depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":d===i?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row * "+n[1]*n[2]+" + col * "+n[2]+" +\n                   depth * "+n[3]+" + depth2;\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n      vec2 uv = UVfrom5D("+h+", "+d+", "+u+", "+s+",\n          "+o+", "+i+", row, col, depth, depth2, depth3);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 6:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[5],o=n[4]*i,s=n[3]*o,u=n[2]*s,l=n[1]*u,c=k(n),f=c.newShape,p=c.keptDims;if(f.length<n.length)return"\n      "+e($t(t,f))+"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+a+"("+Gt(["row","col","depth","depth2","depth3","depth4"],p)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = row * "+l+" + col * "+u+" +\n            depth * "+s+" + depth2 * "+o+" + depth3 * "+o+"\n            + depth4\n        return "+a+"Flat(index);\n      }\n    ";var h=t.shapeInfo.texShape,d=h[0],m=h[1];return m===l?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        int texC = col * "+u+" + depth * "+s+" + depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":m===i?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row * "+n[1]*n[2]+" + col * "+n[2]+" + depth;\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      vec2 uv = UVfrom6D("+d+", "+m+", "+l+", "+u+",\n          "+s+", "+o+", "+i+"\n          ,row, col, depth, depth2, depth3, depth4);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);default:throw new Error(n.length+"-D input sampling is not yet supported")}}(e),(n||w(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=function(e,t,n){var r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=Mt(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||o.length>0),c=function(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}(o),f=e.shapeInfo.isUniform;if(l&&!c)return function(e,t,n,r){var a=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o="int";2===i?o="ivec2":3===i?o="ivec3":4===i&&(o="ivec4");var s=Mt(e.shapeInfo.logicalShape,t.logicalShape),u=i-a;return"\n    float "+r+"() {\n      "+o+" coords = getOutputCoords();\n      "+(0===a?"":i<2&&s.length>=1?"coords = 0;":s.map(function(e){return"coords["+(e+u)+"] = 0;"}).join("\n"))+"\n      return get"+n+"("+(i<2&&a>0?"coords":e.shapeInfo.logicalShape.map(function(e,t){return"coords["+(t+u)+"]"}).join(", "))+");\n    }\n  "}(e,t,a,i);var p=b(e.shapeInfo.logicalShape),h="";l&&c&&(h="\n        int mainPart = index / "+p+";\n        index -= mainPart * "+p+";\n      ");var d=t.texShape;if(f)return 1===p?"float "+i+"() {return "+r+";}":"\n      float "+i+"() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                              vec2("+d[0]+", "+d[1]+"));\n        int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n        "+h+"\n        return get"+a+"Flat(index);\n      }\n    ";var m=e.shapeInfo.texShape;return w(m,d)?"\n      float "+i+"() {\n        return sampleTexture("+r+", resultUV);\n      }\n    ":"\n    float "+i+"() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+d[0]+", "+d[1]+"));\n      int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n      "+h+"\n      int texR = index / "+m[1]+";\n      int texC = index - texR * "+m[1]+";\n      vec2 uv = (vec2(texC, texR) + halfCR) /\n                 vec2("+m[1]+".0, "+m[0]+".0);\n\n      return sampleTexture("+r+", uv);\n    }\n  "}(e,t,n)),r}(e,t,r)}).join("\n"),s=t.texShape;return i=t.isPacked?function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 2:return function(e,t){return"\n    ivec2 getOutputCoords() {\n      return 2 * ivec2(resultUV.yx * vec2("+Math.ceil(t[0]/2)+", "+Math.ceil(t[1]/2)+"));\n    }\n  "}(0,t);default:throw new Error(e.length+"-D output packed sampling is not yet supported")}}(t.logicalShape,s):function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){return 1===t[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){return w(e,t)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ":1===e[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===e[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return function(e,t){var n=e[1]*e[2],r=e[2];return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+n+";\n      index -= r * "+n+";\n      int c = index / "+r+";\n      int d = index - c * "+r+";\n      return ivec3(r, c, d);\n    }\n  "}(e,t);case 4:return function(e,t){var n=e[3],r=e[2]*n,a=e[1]*r;return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      int r = index / "+a+";\n      index -= r * "+a+";\n\n      int c = index / "+r+";\n      index -= c * "+r+";\n\n      int d = index / "+n+";\n      int d2 = index - d * "+n+";\n\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=e[4],r=e[3]*n,a=e[2]*r,i=e[1]*a;return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      int r = index / "+i+";\n      index -= r * "+i+";\n\n      int c = index / "+a+";\n      index -= c * "+a+";\n\n      int d = index / "+r+";\n      index -= d * "+r+";\n\n      int d2 = index  / "+n+";\n      int d3 = index - d2 * "+n+";\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=e[5],r=e[4]*n,a=e[3]*r,i=e[2]*a,o=e[1]*i;return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      int r = index / "+o+";\n      index -= r * "+o+";\n\n      int c = index / "+i+";\n      index -= c * "+i+";\n\n      int d = index / "+a+";\n      index -= d * "+a+";\n\n      int d2 = index / "+r+";\n      index -= d2 * "+r+";\n\n      int d3 = index / "+n+";\n      int d4 = index - d3 * "+n+";\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}}(t.logicalShape,s),[Wt,Vt,Ut,a,i,o,n].join("\n")}var Vt="\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\n    return texture2D(textureSampler, uv).r;\n  }\n",Ut="\n  void setOutput(float val) {\n    gl_FragColor = vec4(val, 0, 0, 0);\n  }\n",Wt="\n  precision highp float;\n  precision highp int;\n  varying vec2 resultUV;\n  const vec2 halfCR = vec2(0.5, 0.5);\n\n  struct ivec5\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n  };\n\n  struct ivec6\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n    int v;\n  };\n\n  bool isNaN(float val) {\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : true;\n  }\n\n  bool hasNaN(vec4 values) {\n    vec4 v1 = values * values;\n    vec4 v2 = values * values;\n    return any(notEqual(v1, v2));\n  }\n\n  float getNaN(vec4 values) {\n    return dot(vec4(1), values);\n  }\n\n  int round(float value) {\n    return int(floor(value + 0.5));\n  }\n\n  int imod(int x, int y) {\n    return x - y * (x / y);\n  }\n\n  //Based on the work of Dave Hoskins\n  //https://www.shadertoy.com/view/4djSRW\n  #define HASHSCALE1 443.8975\n  float random(float seed){\n    vec2 p = resultUV * seed;\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n    p3 += dot(p3, p3.yzx + 19.19);\n    return fract((p3.x + p3.y) * p3.z);\n  }\n\n  \nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\n  int index = row * numC + col;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\n    int stride1, int row, int col, int depth) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int row, int col, int depth,\n    int depth2) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int row, int col, int depth,\n    int depth2, int depth3) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 +\n              depth * stride2 + depth2 * stride3 + depth3;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int stride4,\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\n    stride3 + depth3 * stride4 + depth4;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n";function qt(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function $t(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Gt(e,t){return t.map(function(t){return e[t]}).join(", ")}function Ht(e,t){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}var Kt,Xt,Yt=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+t+";\n      int offset_h = imod(h, "+t+");\n      int in_w = w / "+t+";\n      int offset_w = imod(w, "+t+");\n      int offset_d = (offset_h * "+t+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return e.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},e.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},e.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},e.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}();function Jt(e,t){return[t,e]}function Zt(e,t){return e*t}function Qt(e,t,n){var r=function(e,t){if(e%t!=0)throw new Error("unpackedSize ("+e+") must be a multiple of 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sn=!1;function un(e){sn=e}function ln(e){if(sn){var t=e.getError();if(t!==e.NO_ERROR)throw new Error("WebGL Error: "+cn(e,t))}}function cn(e,t){switch(t){case e.NO_ERROR:return"NO_ERROR";case e.INVALID_ENUM:return"INVALID_ENUM";case e.INVALID_VALUE:return"INVALID_VALUE";case e.INVALID_OPERATION:return"INVALID_OPERATION";case e.INVALID_FRAMEBUFFER_OPERATION:return"INVALID_FRAMEBUFFER_OPERATION";case e.OUT_OF_MEMORY:return"OUT_OF_MEMORY";case e.CONTEXT_LOST_WEBGL:return"CONTEXT_LOST_WEBGL";default:return"Unknown error code "+t}}function fn(e,t){return Rn(e,function(){return e.getExtension(t)},'Extension "'+t+'" not supported on this browser.')}function pn(e,t){var n=Rn(e,function(){return e.createShader(e.VERTEX_SHADER)},"Unable to create vertex WebGLShader.");if(on(e,function(){return e.shaderSource(n,t)}),on(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}function hn(e,t){var n=Rn(e,function(){return e.createShader(e.FRAGMENT_SHADER)},"Unable to create fragment WebGLShader.");if(on(e,function(){return e.shaderSource(n,t)}),on(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw function(e,t){var n=dn.exec(t);if(null==n)return console.log("Couldn't parse line number in error: "+t),void console.log(e);for(var r=+n[1],a=e.split("\n"),i=a.length.toString().length+2,o=a.map(function(e,t){return N((t+1).toString(),i)+e}),s=0,u=0;u<o.length;u++)s=Math.max(o[u].length,s);var l=o.slice(0,r-1),c=o.slice(r-1,r),f=o.slice(r);console.log(l.join("\n")),console.log(t.split("\n")[0]),console.log("%c "+N(c[0],s),"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(f.join("\n"))}(t,e.getShaderInfoLog(n)),new Error("Failed to compile fragment shader.");return n}var dn=/ERROR: [0-9]+:([0-9]+):/g;function mn(e){return Rn(e,function(){return e.createProgram()},"Unable to create 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e=function(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var a=t+n>>1;e[a]()?(r=a,t=a+1):n=a-1}return r}(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t)(0,this.itemsToPoll[t].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||S(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),Pn(this.gl,e,this.framebuffer),this.autoDebugValidate&&Tn(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Pn(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&Tn(this.gl)):An(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var 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If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+a+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var f=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(f="avgValue / count");var p=4*Math.floor(a/4),h=a%4,d="\n      if ("+l+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+s+", "+u+");\n      const float initializationValue = "+c+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float 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Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixelsCanvas=document.createElement("canvas")}this.fromPixelsCanvas.width=e.width,this.fromPixelsCanvas.height=e.height,this.fromPixelsCanvas.getContext("2d").drawImage(e,0,0,e.width,e.height),e=this.fromPixelsCanvas}var a=Q.make(n,{},"int32");this.texData.get(a.dataId).usage=Kt.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId),e);var i=new function(e){this.variableNames=["A"];var t=e[0],n=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+n+".0, "+t+".0);\n\n        vec4 values = texture2D(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "}(r),o=this.compileAndRun(i,[a]);return a.dispose(),o},e.prototype.write=function(e,t){if(null==t)throw new Error("MathBackendWebGL.write(): values can not be null");this.throwIfNoData(e);var n=this.texData.get(e),r=n.texture,a=n.texShape,i=n.usage;if("complex64"===n.dtype)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");null!=r&&(this.releaseTexture(e,r,a,i),n.texture=null,n.texShape=null),n.usage=Kt.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.texture,a=t.values,i=t.texShape,o=t.dtype,s=t.complexTensors;if(null!=a)return this.cacheOnCPU(e),a;var u,l,c=null!=this.activeTimers;return c&&(u=performance.now()),l="complex64"===o?It(s.real.dataSync(),s.imag.dataSync()):this.getValuesFromTexture(r,e,o,i,n),c&&(this.downloadWaitMs+=performance.now()-u),this.cacheOnCPU(e,l),t.values},e.prototype.read=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o,s,u,l,f;return c(this,function(c){switch(c.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(this.throwIfNoData(e),n=this.texData.get(e),r=n.shape,a=n.texture,i=n.values,o=n.texShape,s=n.dtype,null!=i)return this.cacheOnCPU(e),[2,i];if(this.pendingRead.set(e,[]),!me.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===me.get("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return u=this.gpgpu.maybeCreateBufferFromTexture(a,o[0],o[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return c.sent(),l=u instanceof WebGLTexture?this.getValuesFromTexture(a,e,s,o,r):this.gpgpu.downloadFloat32MatrixFromBuffer(u,o[0],o[1]),this.cacheOnCPU(e,l),f=this.pendingRead.get(e),this.pendingRead.delete(e),f.forEach(function(e){return e(l)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,l]}})})},e.prototype.getValuesFromTexture=function(e,t,n,r,a){if(me.get("WEBGL_DOWNLOAD_FLOAT_ENABLED"))return this.texData.get(t).usage===Kt.PACK?this.gpgpu.downloadMatrixFromPackedTexture(e,r[0],r[1]):this.gpgpu.downloadFloat32MatrixFromOutputTexture(e,r[0],r[1]);var i=Q.make(a,{});this.texData.get(i.dataId).usage=Kt.DOWNLOAD;var o=Q.make(a,{dataId:t},n),s=new function(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      const float FLOAT_MAX = 1.70141184e38;\n      const float FLOAT_MIN = 1.17549435e-38;\n\n      lowp vec4 encode_float(highp float v) {\n        if (isNaN(v)) {\n          return vec4(255, 255, 255, 255);\n        }\n\n        highp float av = abs(v);\n\n        if(av < FLOAT_MIN) {\n          return vec4(0.0, 0.0, 0.0, 0.0);\n        } else if(v > FLOAT_MAX) {\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n        } else if(v < -FLOAT_MAX) {\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n        }\n\n        highp vec4 c = vec4(0,0,0,0);\n\n        highp float e = floor(log2(av));\n        highp float m = exp2(fract(log2(av))) - 1.0;\n\n        c[2] = floor(128.0 * m);\n        m -= c[2] / 128.0;\n        c[1] = floor(32768.0 * m);\n        m -= c[1] / 32768.0;\n        c[0] = floor(8388608.0 * m);\n\n        highp float ebias = e + 127.0;\n        c[3] = floor(ebias / 2.0);\n        ebias -= c[3] * 2.0;\n        c[2] += floor(ebias) * 128.0;\n\n        c[3] += 128.0 * step(0.0, -v);\n\n        return c / 255.0;\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        gl_FragColor = encode_float(x);\n      }\n    "}(a);this.compileAndRun(s,[o],i,null,!1);var u=this.texData.get(i.dataId),l=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(u.texture,u.texShape[0],u.texShape[1]);return o.dispose(),i.dispose(),l},e.prototype.time=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o;return c(this,function(s){switch(s.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),a=y(this.activeTimers),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(a).then(function(e){var t=0;return e.forEach(function(e){return t+=e}),t})];case 1:return i=s.sent(),o={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:i,wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,o]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return l(this,void 0,void 0,function(){var t;return c(this,function(n){return me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,a=t.usage,i=t.complexTensors;null!=n&&this.releaseTexture(e,n,r,a),null!=i&&(i.real.dispose(),i.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var n=Q.make(e.shape,{},"complex64");return this.texData.get(n.dataId).complexTensors={real:me.engine.keep(e.clone()),imag:me.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,n){var r=new cr(n),a=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,a)},e.prototype.stridedSlice=function(e,t,n,r,a,i,o,s,u){var l=Ge(e.shape,t,n,r,a,i,o,s,u),c=l[0],f=l[1],p=l[2],h=f.filter(function(e,t){return-1===p.indexOf(t)});if(h.some(function(e){return 0===e}))return nt([],h);var d=new function(e,t,n,r){this.variableNames=["x"];var a=n.filter(function(e,t){return-1===r.indexOf(t)});this.outputShape=a;var i=n.length,o=qt(n.length),s=qt(a.length),u="";if(1===i)u="coords * strides + begin";else{var l=0;u=n.map(function(e,t){return-1===r.indexOf(t)?(l++,1===a.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(l-1)+"] * strides["+t+"] + begin["+t+"]"):"begin["+t+"]"}).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+e+");\n      "+o+" strides = "+o+"("+t+");\n\n      void main() {\n        "+s+" coords = getOutputCoords();\n        setOutput(getX("+u+"));\n      }\n    "}(c,r,f,p);return this.compileAndRun(d,[e])},e.prototype.reverse=function(e,t){var n=new function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),a=qt(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat2Tensors=function(e,t,n){var r=We([e.shape,t.shape],n),a=e.as2D(-1,b(e.shape.slice(n))),i=t.as2D(-1,b(t.shape.slice(n))),o=new function(e,t){this.variableNames=["A","B"],this.outputShape=[],this.outputShape=We([e,t],1),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        float value = 0.0;\n        if (yC < "+e[1]+") {\n          value = getA(yR, yC);\n        } else {\n          yC -= "+e[1]+";\n          value = getB(yR, yC);\n        }\n\n        setOutput(value);\n      }\n    "}(a.shape,i.shape);return this.compileAndRun(o,[a,i]).reshape(r)},e.prototype.concat=function(e,t){if(1===e.length)return e[0];for(var n=e[0],r=1;r<e.length;++r)n=this.concat2Tensors(n,e[r],t);return n},e.prototype.neg=function(e){var t=new gr(e.shape,"return -x;");return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,n,r){var a=n?e.shape[2]:e.shape[1],i=r?t.shape[1]:t.shape[2];if(me.get("WEBGL_RENDER_FLOAT32_ENABLED")&&1===e.shape[0]&&1===t.shape[0]&&w(jn(this.gpgpu.gl,[a,i]),[a,i])){var o=e.as2D(e.shape[1],e.shape[2]),s=t.as2D(t.shape[1],t.shape[2]),u=new ur(o.shape),l=Q.make(o.shape,{});this.texData.get(l.dataId).usage=Kt.PACK;var c=this.compileAndRun(u,[o],l),f=new ur(s.shape),p=Q.make(s.shape,{});this.texData.get(p.dataId).usage=Kt.PACK;var h=this.compileAndRun(f,[s],p),d=new function(e,t,n,r,a){void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["matrixA","matrixB"],this.outputShape=n;var i=r?e[0]:e[1],o=Math.ceil(i/2),s=r?"resultUV.t, center":"center, resultUV.t",u=a?"center, resultUV.s":"resultUV.s, center",l=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],c=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];this.userCode="\n      const float sharedDimension = "+o+".0;\n\n      vec4 dot2x2ARowBCol() {\n        vec4 result = vec4(0);\n        for (int ii = 0; ii < "+o+"; ii++) {\n          float i = float(ii);\n          float center = (i + 0.5) / sharedDimension;\n          vec4 a = texture2D(matrixA, vec2("+s+"));\n          vec4 b = texture2D(matrixB, vec2("+u+"));\n\n          result += ("+l[0]+" * "+c[0]+") + ("+l[1]+" * "+c[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        gl_FragColor = dot2x2ARowBCol();\n      }\n    "}(c.shape,h.shape,[a,i],n,r),m=Q.make(d.outputShape,{});this.texData.get(m.dataId).usage=Kt.PACK;var g=this.compileAndRun(d,[c,h],m),y=new function(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      const vec2 onePixel = 1. / vec2("+e[1]+", "+e[0]+");\n\n      void main() {\n        ivec2 rc = getOutputCoords();\n        vec2 modCoord = mod(vec2(rc.y, rc.x), 2.);\n\n        vec4 packedInput = texture2D(A,\n          resultUV - step(1., modCoord) * onePixel);\n\n        setOutput(\n          modCoord.x == 0. ?\n            (modCoord.y == 0. ? packedInput.r : packedInput.b) :\n            (modCoord.y == 0. ? packedInput.g : packedInput.a)\n        );\n      }\n    "}(g.shape),v=this.compileAndRun(y,[g]);return l.dispose(),p.dispose(),m.dispose(),v.reshape([1,g.shape[0],g.shape[1]])}return this.compileAndRun(new function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=["matrixA","matrixB"];var a=e[0],i=n?e[2]:e[1],o=r?t[1]:t[2],s=n?e[1]:e[2];this.outputShape=[a,i,o];var u=function(e,t){return n?"batch, "+t+" + "+e+", aRow":"batch, aRow, "+t+" + "+e},l=function(e,t){return r?"batch, bCol, "+t+" + "+e:"batch, "+t+" + "+e+", bCol"},c=4*Math.floor(s/4),f=s%4;this.userCode=" float dotARowBCol(int batch, int aRow, int bCol) {\n      float result = 0.0;\n      for (int i = 0; i < "+c+"; i += 4) {\n        vec4 a = vec4(\n          getMatrixA("+u(0,"i")+"),\n          getMatrixA("+u(1,"i")+"),\n          getMatrixA("+u(2,"i")+"),\n          getMatrixA("+u(3,"i")+")\n        );\n        vec4 b = vec4(\n          getMatrixB("+l(0,"i")+"),\n          getMatrixB("+l(1,"i")+"),\n          getMatrixB("+l(2,"i")+"),\n          getMatrixB("+l(3,"i")+")\n        );\n\n        result += dot(a, b);\n      }\n\n      if ("+(1===f)+") {\n        result += getMatrixA("+u(0,c)+") *\n          getMatrixB("+l(0,c)+");\n      } else if ("+(2===f)+") {\n        vec2 a = vec2(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+")\n        );\n        vec2 b = vec2(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+")\n        );\n        result += dot(a, b);\n      } else if ("+(3===f)+") {\n        vec3 a = vec3(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+"),\n          getMatrixA("+u(2,c)+")\n        );\n        vec3 b = vec3(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+"),\n          getMatrixB("+l(2,c)+")\n        );\n        result += dot(a, b);\n      }\n\n      return result;\n    }\n\n    void main() {\n      ivec3 resBRC = getOutputCoords();\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\n    }\n    "}(e.shape,t.shape,n,r),[e,t])},e.prototype.multiply=function(e,t){if("complex64"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),a=new jt("return areal * breal - aimag * bimag;",e.shape,t.shape),i=new jt("return areal * bimag + aimag * breal;",e.shape,t.shape),o=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag),this.makeComplexComponentTensorHandle(t,r.complexTensors.real),this.makeComplexComponentTensorHandle(t,r.complexTensors.imag)],s=this.compileAndRun(a,o),u=this.compileAndRun(i,o),l=this.complex(s,u);return s.dispose(),u.dispose(),l}var c=new zt("return a * b;",e.shape,t.shape),f=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],f)},e.prototype.batchNormalization=function(e,t,n,r,a,i){var o=[e,t,n],s=null;null!=i&&(s=i.shape,o.push(i));var u=null;null!=a&&(u=a.shape,o.push(a));var l=new function(e,t,n,r,a,i){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=["x","mean","variance"],Dt(e,t),Dt(e,n);var o="0.0";null!=r&&(Dt(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(Dt(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput((x - mean) * inv + offset);\n      }\n    "}(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,o)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var i=new function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "}(e.shape,t,n,r,a);return this.compileAndRun(i,[e])},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){var s=new function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "}(t.shape,r,a,i,o);return this.compileAndRun(s,[t,n,e])},e.prototype.tile=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=qt(this.rank),i=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod("+n[a]+", "+e[a]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new function(e,t,n){this.variableNames=["x"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,a=qt(r),i=t.map(function(e){return e[0]}).join(","),o=t.map(function(t,n){return t[0]+e[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=qt(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A","indices"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var a=qt(this.rank),i=function(e,t){var n=e.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],i=0;i<e.length;i++)i===t?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(e,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.batchToSpaceND=function(e,t,n){d(e.rank<=4,"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=Pe(e.shape,t,r),i=Ae(a.length,t.length),o=Te(e.shape,t,r),s=Me(n,t.length),u=Re(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){d(e.rank<=4,"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Pe(o.shape,t,r,!1),u=Ae(s.length,t.length,!1),l=Te(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],i=new function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=Math.ceil(a/n);this.outputShape=[r,i];var o="0.0",s="";"min"===t?(o="1.0 / 0.0",s="min"):"max"===t&&(o="-1.0 / 0.0",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,f="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",p="vec4";"all"===t?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",p="bvec4"):"any"===t&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",p="bvec4");var h="";a%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+h+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "}({windowSize:$e(a),inSize:a,batchSize:r},t),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],n);return this.compileAndRun(i,[e],l),1===l.shape[1]?l:this.reduce(l,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var i=new function(e,t,n){this.variableNames=["A"];var r=e.windowSize,a=e.batchSize,i=e.inSize,o=Math.ceil(i/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,o];var s="max"===t?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = 0;\n        float bestValue = getA(batch, inOffset);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "}({windowSize:$e(a),inSize:a,batchSize:r},t,null==n),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],"int32"),c=[e];return null!=n&&c.push(n),this.compileAndRun(i,c,l),1===l.shape[1]?l:this.argReduce(e,t,l)},e.prototype.sum=function(e,t){ze("sum",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a),o=St(e.dtype);return this.reduce(i,"sum",o).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,a=Fe([r],e.rank),i=e;null!=a&&(i=e.transpose(a),r=Ue(1,e.rank)[0]);var o=function(e,t,n){for(var r=[],a=e.length,i=0;i<a;i++)i!==t?r.push(e[i]):r.push(n);return r}(i.shape,r,n),s=b([i.shape[r]]),u=i.as2D(-1,s),l=St(e.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",t,l,n).reshape(o);return null!=a&&(c=c.transpose(Ve(a))),c},e.prototype.segOpCompute=function(e,t,n,r,a){var i=e.shape[0],o=e.shape[1],s=function(e,t){var n,r=!1;for(e<=qe?(n=e,r=!0):n=D(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=D(e,n+1)}return n}(o,a),u=new function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, filter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "}({windowSize:s,inSize:o,batchSize:i,numSegments:a},t),l=u.outputShape,c=l[0],f=l[1],p=this.makeOutputArray([c,f],r);return this.compileAndRun(u,[e,n],p),p.shape[1]===a?p:(n=dt(0,a).tile([o/s]),this.segOpCompute(p,t,n,r,a))},e.prototype.argMin=function(e,t){var n=[t];ze("argMin",n,e.rank);var r=je(e.shape,n),a=r[0],i=b(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"min").reshape(a)},e.prototype.argMax=function(e,t){var n=[t];ze("argMax",n,e.rank);var r=je(e.shape,n),a=r[0],i=b(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"max").reshape(a)},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);var a=new function(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,a=e[e.length-1],i=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+a+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+qt(r)+" coords = getOutputCoords();\n        int end = "+Ht(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+a+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+i+" end) {\n            continue;\n          }\n          if (idx == end && "+t+") {\n            continue;\n          }\n          "+Ht(r,"coords")+" = idx;\n          val += getX("+function(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "}(e.shape,n,r);return this.compileAndRun(a,[e])},e.prototype.equal=function(e,t){var n=new zt("return float(a == b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new zt("return float(a != b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){var n=new zt("return float(a < b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new zt("return float(a <= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){var n=new zt("return float(a > b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new zt("return float(a >= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new gr(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new zt("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new zt("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.select=function(e,t,n){var r=new function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+i[u]),u<e&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=qt(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "}(e.rank,t.shape,t.rank),a=this.makeOutputArray(r.outputShape,Nt(t.dtype,n.dtype));return this.compileAndRun(r,[e,t,n],a)},e.prototype.where=function(e){Ce("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return ua(e.shape,t)},e.prototype.topk=function(e,t,n){return Tt(e.dataSync(),e.shape,e.dtype,t)},e.prototype.min=function(e,t){ze("min",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"min",i.dtype).reshape(r)},e.prototype.minimum=function(e,t){var n=new zt("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new zt("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[e,t],null,r)},e.prototype.max=function(e,t){ze("max",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"max",i.dtype).reshape(r)},e.prototype.maximum=function(e,t){var n=new zt("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){ze("all",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},e.prototype.any=function(e,t){ze("any",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new zt("return (a - b) * (a - b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new zt("if (a == b) return 1.0;\n  return a / b;",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new zt("\n  float resultSign = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  int result = ia / ib;\n  int amodb = ia - ib * result;\n\n  if (resultSign < 0.0 && amodb != 0) {\n    result -= 1;\n  }\n  return float(result);\n",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Lt);var n=new zt(Lt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,Nt(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,a=this.texData.get(e.dataId),i=this.texData.get(t.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.complexTensors.imag,i.complexTensors.imag]].map(function(a){var i=a[0],o=a[1],s=new zt(n,e.shape,t.shape),u=r.makeOutputArray(s.outputShape,Nt(i.dtype,o.dtype)),l=r.makeComplexComponentTensorHandle(e,i),c=r.makeComplexComponentTensorHandle(t,o);return r.compileAndRun(s,[l,c],u)}),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],n=1;n<e.length;n++)t=this.add(t,e[n]);return t},e.prototype.subtract=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Bt);var n=new zt(Bt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,Nt(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new zt("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=n.getCustomSetupFunc(),a=this.makeOutputArray(n.outputShape,Nt(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],a,r)},e.prototype.ceil=function(e){var t=new gr(e.shape,"return ceil(x);");return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new gr(e.shape,"return floor(x);");return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new gr(e.shape,"\n  if (isNaN(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new gr(e.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new gr(e.shape,"return exp(x);");return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new gr(e.shape,"return exp(x) - 1.0;");return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new gr(e.shape,"if (x < 0.0) return NAN;\n  return log(x);"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.log1p=function(e){var t=new gr(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new gr(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new gr(e.shape,"return inversesqrt(x);");return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new gr(e.shape,"return x * x;");return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new gr(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n");return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new gr(e.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new zt("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new gr(e.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new gr(e.shape,"return float(int(x));"),n=this.makeOutputArray(t.outputShape,"int32");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      void main() {\n        float value = getAAtOutCoords();\n        if (isNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, float("+t+"), float("+n+")));\n      }\n    "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new gr(e.shape,"return abs(x);");return this.compileAndRun(t,[e])},e.prototype.sigmoid=function(e){var t=new gr(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new gr(e.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return sin(x);\n");return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return cos(x);\n");return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new gr(e.shape,"return tan(x);");return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new gr(e.shape,"return asin(x);");return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new gr(e.shape,"return acos(x);");return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return atan(x);\n");return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new zt("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return atan(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new gr(e.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new gr(e.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new gr(e.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new gr(e.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.atanh=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.erf=function(e){var t=new gr(e.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n');return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new gr(e.shape,function(e){return void 0===e&&(e=0),yr+"\n    return x > 0.0 ? 1.0 : float("+e+");\n  "}(t));return this.compileAndRun(n,[e])},e.prototype.conv2d=function(e,t,n){var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+a+");\n      const ivec2 pads = ivec2("+t+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+i+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+o+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+l+"; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===c)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+l+") *\n                getW(wR, wC, "+l+", d2);\n            } else if ("+(2===c)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===c)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1),\n                getX(batch, xR, xC, "+l+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2),\n                getW(wR, wC, "+l+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.strideHeight,o=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,f=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+r+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+f+";\n        int q = d2 - d1 * "+f+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+t+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+c+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new lr(t,"max",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new lr(t,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var a=new lr(r,"max",!0),i=this.compileAndRun(a,[t]),o=new function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=t*n-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+s+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+n+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(r),s=this.makeOutputArray(o.outputShape,t.dtype),u=this.compileAndRun(o,[e,i],s);return i.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n      const float avgMultiplier = float("+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n),a=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],a)},e.prototype.cast=function(e,t){return Ot(e,t,this)},e.prototype.reshape=function(e,t){return kt(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(a-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.multinomial=function(e,t,n,r){var a=t?e:Ze(e),i=a.shape[0],o=a.shape[1],s=new sr(i,o,n),u=this.makeOutputArray(s.outputShape,"int32"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],u,l)},e.prototype.oneHot=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "}(e.size,t,n,r);return this.compileAndRun(a,[e])},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return Ce("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Ct(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.cropAndResize=function(e,t,n,r,a,i){var o=new function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],f=n[1];this.outputShape=[l,c,f,u];var p="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],d=h[0],m=h[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],y=g[0],v=g[1],b=g[2],w=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],x=w[0],_=w[1],E=w[2];this.userCode="\n      const float height_ratio = float("+y+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+v+";\n        float width_scale = "+_+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\n        if("+p+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\n\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n          float newValue = top + (bottom - top) * fracRC.x;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestRC = ivec2(floor(\n            sourceFracIndexRC + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\n          setOutput(newValue);\n        }\n      }\n    "}(e.shape,t.shape,r,a,i);return this.compileAndRun(o,[e,t,n])},e.prototype.depthToSpace=function(e,t,n){d(t>1,"blockSize should be > 1 for depthToSpace, but was: "+t);var r=e.shape[0],a=("NHWC"===n?e.shape[1]:e.shape[2])*t,i=("NHWC"===n?e.shape[2]:e.shape[3])*t,o=("NHWC"===n?e.shape[3]:e.shape[1])/(t*t),s=new Yt("NHWC"===n?[r,a,i,o]:[r,o,a,i],t,n);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,n){return At(e,t,n)},e.prototype.makeOutputArray=function(e,t){return Q.make(e,{},t)},e.prototype.compileAndRun=function(e,t,n,r,a){var i=this;if(void 0===a&&(a=!0),null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=I(n.dtype,0),n;var o=t.map(function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var t=i.texData.get(e.dataId);return null==t.texture&&b(e.shape)<=32?{shape:e.shape,texData:null,isUniform:!0,uniformValues:i.readSync(e.dataId)}:(i.uploadToGPU(e.dataId),{shape:e.shape,texData:t,isUniform:!1})});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=function(e,t,n){var r="";o.concat(n).forEach(function(e){r+=e.shape+"_"+(e.isUniform?"uniform":e.texData.texShape)});var a=e.userCode,i=(!0===e.supportsBroadcasting).toString();return e.constructor.name+"_"+i+"_"+r+"_"+a}(e,0,u),c=this.getAndSaveBinary(l,function(){return function(e,t,n,r){for(var a=t.userCode,i=n.map(function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.usage===Kt.PACK};return{name:t.variableNames[n],shapeInfo:r}}),o=i.map(function(e){return e.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.usage===Kt.PACK},u=Ft(i,s,a,!0===t.supportsBroadcasting),l=e.createProgram(u),c={},f=0;f<t.variableNames.length;f++){var p=t.variableNames[f];c[p]=e.getUniformLocation(l,p,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:o,outShapeInfo:s}}(i.gpgpu,e,o,u)}),f=null!=this.activeTimers;if(f&&(s=this.startTimer()),function(e,t,n,r){or(e.inShapeInfos,t),or([e.outShapeInfo],[n]);var a=n.texData.texture,i=n.texData.texShape,o=e.gpgpu;n.texData.usage===Kt.PACK?o.setOutputPackedMatrixTexture(a,i[0],i[1]):o.setOutputMatrixTexture(a,i[0],i[1]),o.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],a=e.uniformLocations[r];if(null!=a){if(t.isUniform){if(1===b(t.shape))o.gl.uniform1f(a,t.uniformValues[0]);else{var i=t.uniformValues;i instanceof Float32Array||(i=new Float32Array(i)),o.gl.uniform1fv(a,i)}return}var s=t.texData.texture;o.setInputMatrixTexture(s,a,n)}}),null!=r&&r(o,e.webGLProgram),o.executeProgram()}(c,o,u,r),a&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var p=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;p>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),d=this.texData.get(h),m=d.shape,g=d.dtype;p-=this.computeBytes(m,g),this.read(h)}return f&&(s=this.endTimer(s),this.activeTimers.push(this.getQueryTime(s))),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixelsCanvas&&this.fromPixelsCanvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return Ne(function(){return e.abs(rt(1e-8)).get()>0?32:16})},e.prototype.throwIfNoData=function(e){if(!this.texData.has(e))throw new Error("WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? 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got rank "+l.rank+"."),d(3===c.rank||1===c.rank,"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."),null!=o&&d(3===o.rank||1===o.rank,"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."),null!=s&&d(3===s.rank||1===s.rank,"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."),Ha(u,l,c,r,o,s)}}),Ga=Je({batchNormalization4d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=Xe(e,"x","batchNormalization"),l=Xe(t,"mean","batchNormalization"),c=Xe(n,"variance","batchNormalization");return null!=a&&(o=Xe(a,"scale","batchNormalization")),null!=i&&(s=Xe(i,"offset","batchNormalization")),d(4===u.rank,"Error in batchNormalization4D: x must be rank 4 but got rank "+u.rank+"."),d(4===l.rank||1===l.rank,"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."),d(4===c.rank||1===c.rank,"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."),null!=o&&d(4===o.rank||1===o.rank,"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."),null!=s&&d(4===s.rank||1===s.rank,"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."),Ha(u,l,c,r,o,s)}}),Ha=Je({batchNormalization_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u,l=Xe(e,"x","batchNormalization"),c=Xe(t,"mean","batchNormalization"),f=Xe(n,"variance","batchNormalization");return null!=a&&(o=Xe(a,"scale","batchNormalization")),null!=i&&(s=Xe(i,"offset","batchNormalization")),d(c.rank===f.rank,"Batch normalization gradient requires mean and variance to have equal ranks."),d(null==s||c.rank===s.rank,"Batch normalization gradient requires mean and offset to have equal ranks."),d(null==o||c.rank===o.rank,"Batch normalization gradient requires mean and scale to have equal ranks."),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l,me.engine.runKernel(function(e){return e.batchNormalization(u,Wa(c),Wa(f),r,Wa(o),Wa(s))},{$x:l,$mean:c,$variance:f,$scale:o,$offset:s},function(e){var t=null==o?rt(1):o,n=Rt(c.shape,u.shape),a=[];if(1===c.rank){for(var i=0;i<u.shape.length-1;++i)a.push(u.shape[i]);a.push(1)}var s=l.sub(c),p=e.mul(t),h=Ta(f.add(rt(r))),d=h.mul(h).mul(h).mul(rt(-.5));return{$x:function(){return 1===c.rank?e.mul(ia(h.as4D(1,1,1,c.shape[0]),a)).mul(t).reshape(l.shape):e.mul(h).mul(t).reshape(l.shape)},$mean:function(){var e=h.mul(rt(-1)).mul(p);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$variance:function(){var e=d.mul(s).mul(p);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$scale:function(){var t=s.mul(h),r=e.mul(t);return 1===c.rank&&(r=r.sum(n)),r.reshape(c.shape)},$offset:function(){var t=e;return 1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)}}}).reshape(l.shape)}});function Ka(e,t,n,r,a,i){void 0===i&&(i="channelsLast");var o,s=Ya(t),u=s[0],l=s[1];if("channelsLast"===i)o=[u,l,e[3],e[3]];else{if("channelsFirst"!==i)throw new Error("Unknown dataFormat "+i);o=[u,l,e[1],e[1]]}return Xa(e,o,n,1,r,a,!1,i)}function Xa(e,t,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=[-1,-1,-1,-1],l=u[0],c=u[1],f=u[2],p=u[3];if("channelsLast"===s)l=e[0],c=e[1],f=e[2],p=e[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);l=e[0],p=e[1],c=e[2],f=e[3]}var h,m=t[0],g=t[1],y=t[3],v=Ya(n),b=v[0],w=v[1],_=Ya(r),E=_[0],N=_[1],S=function(e,t,n,r,a,i,o,s){var u,l,c;if("number"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?"VALID":"NUMBER"};var f=function(e,t,n,r,a,i){null==a&&(a=function(e,t,n,r){void 0===r&&(r=1);var a=Ja(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}(e,t,r));var o=e[1],s=Za((e[0]-t+2*a)/r+1,i);d(x(s),"The output # of rows ("+s+") must be an integer. Change the stride and/or zero pad parameters");var u=Za((o-t+2*a)/r+1,i);return d(x(u),"The output # of columns ("+u+") must be an integer. 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e;switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error("Unknown roundingMode "+t)}}var Qa=Je({matMul_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Xe(e,"a","matMul"),i=Xe(t,"b","matMul"),o=n?a.shape[a.rank-2]:a.shape[a.rank-1],s=r?i.shape[i.rank-1]:i.shape[i.rank-2],u=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],c=a.shape.slice(0,-2),f=i.shape.slice(0,-2),p=b(c),h=b(f);d(a.rank>=2&&i.rank>=2&&a.rank===i.rank,"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."),d(w(c,f),"Error in matMul: outer dimensions ("+c+") and ("+f+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."),d(o===s,"Error in matMul: inner shapes ("+o+") and ("+s+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match.");var m=a.shape.slice(0,-2).concat([u,l]),g=n?a.as3D(p,o,u):a.as3D(p,u,o),y=r?i.as3D(h,l,s):i.as3D(h,s,l);return me.engine.runKernel(function(e){return e.batchMatMul(g,y,n,r)},{$a:g,$b:y},function(e){return n||r?!n&&r?{$a:function(){return e.matMul(y.toFloat(),!1,!1)},$b:function(){return e.matMul(g.toFloat(),!0,!1)}}:n&&!r?{$a:function(){return y.toFloat().matMul(e,!1,!0)},$b:function(){return g.toFloat().matMul(e,!1,!1)}}:{$a:function(){return y.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(g.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(y.toFloat(),!1,!0)},$b:function(){return g.toFloat().matMul(e,!0,!1)}}}).reshape(m)}}),ei=Je({dot_:function(e,t){var n=Xe(e,"t1","dot"),r=Xe(t,"t2","dot");d(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+".");var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];return d(a===i,"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),ti=Je({outerProduct_:function(e,t){var n=Xe(e,"v1","outerProduct"),r=Xe(t,"v2","outerProduct");return d(1===n.rank&&1===r.rank,"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."),n.as2D(-1,1).matMul(r.as2D(1,-1))}});function ni(e,t,n,r,a,i){d(e.length===t.rank,"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match");var o=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),o=[1,e[0],e[1],e[2]]);var l=o[3],c=s.shape[3];d(4===o.length,"Error in conv2dDerInput: inShape must be length 4, but got length "+o.length+"."),d(4===s.rank,"Error in conv2dDerInput: dy must be rank 4, but got rank "+s.rank),d(4===n.rank,"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank),d(l===n.shape[2],"Error in conv2dDerInput: depth of input ("+l+") must match input depth for filter "+n.shape[2]+"."),d(c===n.shape[3],"Error in conv2dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[3]+"."),null!=i&&d(x(a),"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var f=Xa(o,n.shape,r,1,a,i),p=me.engine.runKernel(function(e){return e.conv2dDerInput(s,n,f)},{dy4D:s});return u?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function ri(e){var t=function(e){return"number"==typeof e?[e,e]:e}(e),n=t[0],r=t[1];return 1===n&&1===r}function ai(e,t){return ri(e)||ri(t)}var ii=Je({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=Xe(e,"x","conv1d"),u=Xe(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),d(3===l.rank,"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."),d(3===u.rank,"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."),null!=o&&d(x(r),"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),d(l.shape[2]===u.shape[1],"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."),d(ai(n,i),"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"),d("NWC"===a,"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported.");var f=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),p=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=oi(p,f,[1,n],r,"NHWC",[1,i],o);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}}),oi=Je({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Xe(e,"x","conv2d"),u=Xe(t,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),d(4===l.rank,"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."),d(4===u.rank,"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."),null!=o&&d(x(r),"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),d(l.shape[3]===u.shape[2],"Error in conv2d: depth of input ("+l.shape[3]+") must match input depth for filter "+u.shape[2]+"."),d(ai(n,i),"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),d("NHWC"===a,"Error in conv2d: got dataFormat of "+a+" but only NHWC is currently supported.");var f,p=Xa(l.shape,u.shape,n,i,r,o);if(1===p.filterHeight&&1===p.filterWidth&&1===p.dilationHeight&&1===p.dilationWidth&&1===p.strideHeight&&1===p.strideWidth&&"SAME"===p.padInfo.type){var h=l.reshape([-1,p.inChannels]),m=u.reshape([p.inChannels,p.outChannels]);f=Qa(h,m).reshape(p.outShape)}else f=me.engine.runKernel(function(e){return e.conv2d(l,u,p)},{x:l,$filter:u},function(e){return d(ri(i),"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '"+i+"'"),{x:function(){return ni(l.shape,e,u,n,r)},$filter:function(){return function(e,t,n,r,a,i){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),d(4===o.rank,"Error in conv2dDerFilter: input must be rank 4, but got shape "+o.shape+"."),d(4===s.rank,"Error in conv2dDerFilter: dy must be rank 4, but got shape "+s.shape+"."),d(4===n.length,"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."),d(o.shape[3]===n[2],"Error in conv2dDerFilter: depth of input "+o.shape[3]+") must match input depth in filter ("+n[2]+"."),d(s.shape[3]===n[3],"Error in conv2dDerFilter: depth of dy ("+s.shape[3]+") must match output depth for filter ("+n[3]+").");var u=Xa(o.shape,n,r,1,a,i);return me.engine.runKernel(function(e){return e.conv2dDerFilter(o,s,u)},{x4D:o,dy4D:s})}(l,e,u.shape,n,r)}}});return c?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}}),si=Je({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Xe(e,"x","depthwiseConv2d"),u=Xe(t,"filter","depthwiseConv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),d(4===l.rank,"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."),d(4===u.rank,"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."),d(l.shape[3]===u.shape[2],"Error in depthwiseConv2d: number of input channels ("+l.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."),null==i&&(i=[1,1]),d(ai(n,i),"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),null!=o&&d(x(r),"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+".");var f=Xa(l.shape,u.shape,n,i,r,o,!0),p=me.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,f)},{x:l,$filter:u},function(e){return d(ri(i),"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+i+"'"),{x:function(){return function(e,t,n,r){var a=t,i=!1;3===t.rank&&(i=!0,a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var o=me.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(a,n,r)},{dy4D:a});return i?o.as3D(o.shape[1],o.shape[2],o.shape[3]):o}(l.shape,e,u,f)},$filter:function(){return function(e,t,n,r){var a=e;3===e.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var i=t;return 3===i.rank&&(i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),me.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(a,i,r)},{x4D:a,dy4D:i})}(l,e,u.shape,f)}}});return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}}),ui=Je({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=Xe(e,"x","separableConv2d"),u=Xe(t,"depthwiseFilter","separableConv2d"),l=Xe(n,"pointwiseFilter","separableConv2d"),c=s,f=!1;if(3===s.rank&&(f=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");d(4===c.rank,"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."),d(4===u.rank,"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."),d(4===l.rank,"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."),d(1===l.shape[0],"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."),d(1===l.shape[1],"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got "+l.shape[1]+".");var p=u.shape[2],h=u.shape[3];d(l.shape[2]===p*h,"Error in separableConv2d: the third dimension of pointwise filter must be "+p*h+", but got "+l.shape[2]+".");var m=si(c,u,r,a,o,i),g=oi(m,l,1,"valid",o);return f?g.as3D(g.shape[1],g.shape[2],g.shape[3]):g}}),li=Je({conv2dTranspose_:function(e,t,n,r,a,i){return ni(n,Xe(e,"x","conv2dTranspose"),Xe(t,"filter","conv2dTranspose"),r,a,i)}}),ci=Je({reverse_:function(e,t){var n=Xe(e,"x","reverse");if(0===n.rank)return n.clone();var r=Be(t,n.shape);return me.engine.runKernel(function(e){return e.reverse(n,r)},{$x:n},function(e){return{$x:function(){return e.reverse(r)}}}).reshapeAs(n)}}),fi=Je({reverse1d_:function(e){var t=Xe(e,"x","reverse");return d(1===t.rank,"Error in reverse1D: x must be rank 1 but got\n             rank "+t.rank+"."),ci(t,0)}}),pi=Je({reverse2d_:function(e,t){var n=Xe(e,"x","reverse");return d(2===n.rank,"Error in reverse2D: x must be rank 2 but got\n             rank "+n.rank+"."),ci(n,t)}}),hi=Je({reverse3d_:function(e,t){var n=Xe(e,"x","reverse");return d(3===n.rank,"Error in reverse3D: x must be rank 3 but got\n             rank "+n.rank+"."),ci(n,t)}}),di=Je({reverse4d_:function(e,t){var n=Xe(e,"x","reverse");return d(4===n.rank,"Error in reverse4D: x must be rank 4 but got\n             rank 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c=l*o,f=0,p=0;p<o;++p)f+=u[c+p];s[l]=f}return i},e.prototype.unsortedSegmentSum=function(e,t,n){this.assertNotComplex(e,"unsortedSegmentSum");for(var r=[],a=e.rank-t.rank,i=0;i<a;++i)t=t.expandDims(i+1);for(i=0;i<n;++i){var o=rt(i,"int32"),s=Mi(o,t).asType("float32").mul(e).sum(0);r.push(s)}return aa(r)},e.prototype.argMin=function(e,t){this.assertNotComplex(e,"argMin");var n=[t];ze("argMin",n,e.rank);for(var r=je(e.shape,n),a=r[0],i=r[1],o=ft(a,"int32"),s=b(i),u=o.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var f=c*s,p=l[f],h=0,d=0;d<s;++d){var m=l[f+d];m<p&&(p=m,h=d)}u[c]=h}return o},e.prototype.argMax=function(e,t){this.assertNotComplex(e,"argMax");var n=[t];ze("argMax",n,e.rank);for(var r=je(e.shape,n),a=r[0],i=r[1],o=ft(a,"int32"),s=b(i),u=o.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var f=c*s,p=l[f],h=0,d=0;d<s;++d){var m=l[f+d];m>p&&(p=m,h=d)}u[c]=h}return o},e.prototype.cumsum=function(e,t,n,r){if(this.assertNotComplex(e,"cumsum"),t!==e.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(e.rank-1)+" but got axis="+t);for(var a=Nt(e.dtype,"int32"),i=ft(e.shape,a),o=i.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=r?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var f=0;f<u;f++){var p=l(c,f);if(0===f)o[p]=n?0:s[p];else{var h=l(c,f-1);o[p]=n?s[h]+o[h]:s[p]+o[h]}}return i},e.prototype.equal=function(e,t){return this.assertNotComplex([e,t],"equal"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.assertNotComplex([e,t],"notEqual"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.assertNotComplex([e,t],"less"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.assertNotComplex([e,t],"lessEqual"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.assertNotComplex([e,t],"greater"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.assertNotComplex([e,t],"greaterEqual"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){this.assertNotComplex(e,"logicalNot");for(var t=e.dataSync(),n=new Int32Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return Q.make(e.shape,{values:n},"bool")},e.prototype.logicalAnd=function(e,t){return this.assertNotComplex([e,t],"logicalAnd"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.assertNotComplex([e,t],"logicalOr"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e||t})},e.prototype.select=function(e,t,n){this.assertNotComplex([e,t,n],"select");for(var r=e.dataSync(),a=t.dataSync(),i=n.dataSync(),o=ft(t.shape,Nt(t.dtype,n.dtype)),s=o.dataSync(),u=0,l=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],c=0;c<r.length;c++)for(var f=0;f<l;f++)1===r[c]?s[u++]=a[c]:s[u++]=i[c];return o},e.prototype.where=function(e){this.assertNotComplex([e],"where");var t=e.dataSync();return ua(e.shape,t)},e.prototype.topk=function(e,t,n){return this.assertNotComplex(e,"topk"),Tt(e.dataSync(),e.shape,e.dtype,t)},e.prototype.min=function(e,t){this.assertNotComplex(e,"min"),ze("min",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];h<f&&(f=h)}s[l]=f}return i},e.prototype.minimum=function(e,t){return this.assertNotComplex([e,t],"minimum"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.assertNotComplex([e,t],"mod"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})},e.prototype.max=function(e,t){this.assertNotComplex(e,"max"),ze("max",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];h>f&&(f=h)}s[l]=f}return i},e.prototype.maximum=function(e,t){return this.assertNotComplex([e,t],"maximum"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){this.assertNotComplex(e,"all"),ze("all",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];f=f&&h}s[l]=f}return i},e.prototype.any=function(e,t){this.assertNotComplex(e,"any"),ze("any",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];f=f||h}s[l]=f}return i},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],"squaredDifference"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){this.assertNotComplex(e,"ceil");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return Q.make(e.shape,{values:n})},e.prototype.floor=function(e){this.assertNotComplex(e,"floor");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return Q.make(e.shape,{values:n})},e.prototype.sign=function(e){this.assertNotComplex(e,"x");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return Q.make(e.shape,{values:n})},e.prototype.round=function(e){this.assertNotComplex(e,"round");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=Math.floor(t[r]);t[r]-a<.5?n[r]=Math.floor(t[r]):t[r]-a>.5?n[r]=Math.ceil(t[r]):n[r]=a%2==0?a:a+1}return Q.make(e.shape,{values:n})},e.prototype.exp=function(e){this.assertNotComplex(e,"exp");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return Q.make(e.shape,{values:n})},e.prototype.expm1=function(e){this.assertNotComplex(e,"expm1");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return Q.make(e.shape,{values:n})},e.prototype.log=function(e){this.assertNotComplex(e,"log");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log(a)}return Q.make(e.shape,{values:n})},e.prototype.log1p=function(e){this.assertNotComplex(e,"log1p");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log1p(a)}return Q.make(e.shape,{values:n})},e.prototype.sqrt=function(e){this.assertNotComplex(e,"sqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.sqrt(a)}return Q.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,"rsqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=1/Math.sqrt(a)}return Q.make(e.shape,{values:n})},e.prototype.square=function(e){this.assertNotComplex(e,"square");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=a*a}return Q.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,"reciprocal");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return Q.make(e.shape,{values:n})},e.prototype.relu=function(e){this.assertNotComplex(e,"relu");for(var t=ft(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,"elu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?a:Math.exp(a)-1}return Q.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],"eluDer");for(var n=new Float32Array(t.size),r=t.dataSync(),a=e.dataSync(),i=0;i<r.length;++i){var o=r[i];n[i]=o>=1?a[i]:a[i]*(o+1)}return Q.make(t.shape,{values:n})},e.prototype.selu=function(e){this.assertNotComplex(e,"selu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?1.0507009873554805*a:1.7580993408473768*(Math.exp(a)-1)}return Q.make(e.shape,{values:t})},e.prototype.clip=function(e,t,n){this.assertNotComplex(e,"clip");for(var r=new Float32Array(e.size),a=e.dataSync(),i=0;i<a.length;++i){var o=a[i];r[i]=o>n?n:o<t?t:o}return Q.make(e.shape,{values:r})},e.prototype.abs=function(e){this.assertNotComplex(e,"abs");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return Q.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,"int");for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return Q.make(e.shape,{values:t},"int32")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,"sigmoid");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return Q.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,"softplus");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i,o=r[a]>-t,s=r[a]<t,u=Math.exp(r[a]);i=s?u:o?r[a]:Math.log(1+u),n[a]=i}return Q.make(e.shape,{values:n})},e.prototype.sin=function(e){this.assertNotComplex(e,"sin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return Q.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,"cos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return Q.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,"tan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return Q.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,"asin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return Q.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,"acos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return Q.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,"atan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return Q.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],"atan2"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,"sinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,"cosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,"tanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=_(n[r]);return Q.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,"asinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,"acosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,"atanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,"erf");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r],i=1/(1+.3275911*a);t[r]=1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a)}return Q.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,"step");for(var n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i=r[a];isNaN(i)?n[a]=NaN:n[a]=i>0?1:t}return Q.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){this.assertNotComplex([e,t],"conv2d");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=Dr(n.outShape,e.dtype),c=e.dataSync(),f=t.dataSync(),p=l.values,h=0;h<n.batchSize;++h)for(var d=h*e.strides[0],m=h*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],v=g*n.strideHeight-s,b=0;b<r;b++){var w=v+b*i;if(!(w<0||w>=n.inHeight))for(var x=b*t.strides[0],_=d+w*e.strides[1],E=0;E<n.outWidth;++E)for(var N=y+E*n.outChannels,S=E*n.strideWidth-u,O=0;O<a;O++){var k=S+O*o;if(!(k<0||k>=n.inWidth))for(var I=x+O*t.strides[1],C=_+k*n.inChannels,P=I,A=0;A<n.inChannels;++A){for(var T=c[C+A],M=0;M<n.outChannels;++M)p[N+M]+=T*f[P+M];P+=n.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerInput");for(var r=Dr(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=0;T<b;++T)for(var M=0;M<_;++M)for(var R=0;R<E;++R)for(var D=R-P,j=Math.max(0,Math.ceil(D/I)),L=Math.min(O,(w+D)/I),B=0;B<N;++B){for(var z=B-A,F=Math.max(0,Math.ceil(z/C)),V=Math.min(k,(x+z)/C),U=0,W=j;W<L;++W)for(var q=W*I-D,$=F;$<V;++$)for(var G=f*T+p*W+h*$,H=g*(w-1-q)+y*(x-1-($*C-z))+v*M,K=0;K<S;++K)U+=l[G+K]*d[H+K];a[o*T+s*R+u*B+M]=U}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=Dr(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<i;++c)for(var f=Math.max(0,Math.ceil((l-c)/r)),p=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<o;++h)for(var d=Math.max(0,Math.ceil((u-h)/a)),m=Math.min(n.outWidth,(n.inWidth+u-h)/a),g=0;g<n.inChannels;++g)for(var y=0;y<n.outChannels;++y){for(var v=0,b=0;b<n.batchSize;++b)for(var w=f;w<p;++w)for(var x=c+w*r-l,_=d;_<m;++_){var E=h+_*a-u;v+=e.get(b,x,E,g)*t.get(b,w,_,y)}s.set(v,c,h,g,y)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=Dr(n.outShape,e.dtype),f=e.dataSync(),p=t.dataSync(),h=c.values,d=0;d<n.batchSize;++d)for(var m=d*e.strides[0],g=d*c.strides[0],y=0;y<n.outHeight;++y)for(var v=g+y*c.strides[1],b=y*n.strideHeight-s,w=0;w<r;++w){var x=b+w*i;if(!(x<0||x>=n.inHeight))for(var _=w*t.strides[0],E=m+x*e.strides[1],N=0;N<n.outWidth;++N)for(var S=v+N*c.strides[2],O=N*n.strideWidth-u,k=0;k<a;++k){var I=O+k*o;if(!(I<0||I>=n.inWidth))for(var C=_+k*t.strides[1],P=E+I*n.inChannels,A=S,T=C,M=0;M<n.inChannels;++M){for(var R=f[P+M],D=0;D<l;++D)h[A+D]+=R*p[T+D];A+=l,T+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerInput");for(var r=Dr(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=S/_,M=0;M<b;++M)for(var R=0;R<_;++R)for(var D=0;D<E;++D)for(var j=D-P,L=Math.max(0,Math.ceil(j/I)),B=Math.min(O,(w+j)/I),z=0;z<N;++z){for(var F=z-A,V=Math.max(0,Math.ceil(F/C)),U=Math.min(k,(x+F)/C),W=0,q=L;q<B;++q)for(var $=q*I-j,G=V;G<U;++G)for(var H=f*M+p*q+h*G,K=g*(w-1-$)+y*(x-1-(G*C-F))+v*R,X=0;X<T;++X)W+=l[H+(R*T+X)]*d[K+X];a[o*M+s*D+u*z+R]=W}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=Dr(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,f=0;f<i;++f)for(var p=Math.max(0,Math.ceil((l-f)/r)),h=Math.min(n.outHeight,(n.inHeight+l-f)/r),d=0;d<o;++d)for(var m=Math.max(0,Math.ceil((u-d)/a)),g=Math.min(n.outWidth,(n.inWidth+u-d)/a),y=0;y<n.outChannels;++y){for(var v=Math.trunc(y/c),b=y%c,w=0,x=0;x<n.batchSize;++x)for(var _=p;_<h;++_)for(var E=f+_*r-l,N=m;N<g;++N){var S=d+N*a-u;w+=e.get(x,E,S,v)*t.get(x,_,N,y)}s.set(w,f,d,v,b)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,"tile");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var a=Dr(n,e.dtype),i=e.buffer();for(r=0;r<a.values.length;++r){for(var o=a.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=o[u]%e.shape[u];var l=i.locToIndex(s);a.values[r]=i.values[l]}return a.toTensor()},e.prototype.pad=function(e,t,n){this.assertNotComplex(e,"pad");var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),a=t.map(function(e){return e[0]}),i=e.buffer(),o=Dr(r,e.dtype);0!==n&&o.values.fill(n);for(var s=0;s<e.size;s++){var u=i.indexToLoc(s),l=u.map(function(e,t){return e+a[t]});o.set.apply(o,[e.get.apply(e,u)].concat(l))}return o.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,"transpose");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var a=e.dataSync(),i=Dr(n,e.dtype),o=e.buffer();for(r=0;r<e.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=i.locToIndex(u);i.values[c]=a[r]}return i.toTensor()},e.prototype.gather=function(e,t,n){this.assertNotComplex([e,t],"gather");var r=e.shape.slice(),a=t.dataSync();r[n]=a.length;for(var i=Dr(r,e.dtype),o=e.buffer(),s=0;s<i.size;++s){var u=i.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=o.locToIndex(l);i.values[s]=o.values[c]}return i.toTensor()},e.prototype.batchToSpaceND=function(e,t,n){this.assertNotComplex([e],"batchToSpaceND");var r=t.reduce(function(e,t){return e*t}),a=Pe(e.shape,t,r),i=Ae(a.length,t.length),o=Te(e.shape,t,r),s=Me(n,t.length),u=Re(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){this.assertNotComplex([e],"spaceToBatchND");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Pe(o.shape,t,r,!1),u=Ae(s.length,t.length,!1),l=Te(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,n){this.assertNotComplex(e,"pool");for(var r=t.strideHeight,a=t.strideWidth,i=t.filterHeight,o=t.filterWidth,s=Dr(t.outShape,"float32"),u=t.padInfo.top,l=t.padInfo.left,c="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,f=0;f<t.batchSize;++f)for(var p=0;p<t.inChannels;++p)for(var h=0;h<t.outHeight;++h)for(var d=h*r-u,m=Math.max(0,d),g=Math.min(t.inHeight,i+d),y=0;y<t.outWidth;++y){for(var v=y*a-l,b=Math.max(0,v),w=Math.min(t.inWidth,o+v),x=c,_=0,E=0,N=m;N<g;++N){for(var S=b;S<w;++S){var O=e.get(f,N,S,p);"max"===n&&O>x?x=O:"avg"===n&&(_+=O,E++)}if(isNaN(x))break}s.set("avg"===n?_/E:x,f,h,y,p)}return s.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,"max")},e.prototype.maxPoolPositions=function(e,t){for(var n=Dr(t.outShape,"int32"),r=t.strideHeight,a=t.strideWidth,i=t.filterHeight,o=t.filterWidth,s=t.padInfo.top,u=t.padInfo.left,l=0;l<t.batchSize;++l)for(var c=0;c<t.inChannels;++c)for(var f=0;f<t.outHeight;++f)for(var p=f*r-s,h=Math.max(0,p),d=Math.min(t.inHeight,i+p),m=0;m<t.outWidth;++m){for(var g=m*a-u,y=Math.max(0,g),v=Math.min(t.inWidth,o+g),b=Number.NEGATIVE_INFINITY,w=-1,x=h;x<d;++x)for(var _=x-p,E=y;E<v;++E){var N=E-g,S=e.get(l,x,E,c);S>b&&(b=S,w=_*o+N)}n.set(w,l,f,m,c)}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){this.assertNotComplex([t,n],"maxPoolBackprop");for(var a=this.maxPoolPositions(t,r),i=r.strideHeight,o=r.strideWidth,s=r.filterHeight,u=r.filterWidth,l=u-1-r.padInfo.left,c=s-1-r.padInfo.top,f=Dr(t.shape,"float32"),p=0;p<r.batchSize;++p)for(var h=0;h<r.inChannels;++h)for(var d=0;d<r.inHeight;++d)for(var m=0;m<r.inWidth;++m){for(var g=d-c,y=m-l,v=0,b=0;b<s;++b){var w=(g+b)/i;if(!(w<0||w>=r.outHeight||Math.floor(w)!==w))for(var x=0;x<u;++x){var _=(y+x)/o;if(!(_<0||_>=r.outWidth||Math.floor(_)!==_)){var E=s*u-1-a.get(p,w,_,h)===b*u+x?1:0;0!==E&&(v+=e.get(p,w,_,h)*E)}}}f.set(v,p,d,m,h)}return f.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){this.assertNotComplex([e,t],"avgPoolBackprop");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=o-1-n.padInfo.left,u=i-1-n.padInfo.top,l=Dr(t.shape,"float32"),c=1/(i*o),f=0;f<n.batchSize;++f)for(var p=0;p<n.inChannels;++p)for(var h=0;h<n.inHeight;++h)for(var d=0;d<n.inWidth;++d){for(var m=h-u,g=d-s,y=0,v=0;v<i;++v){var b=(m+v)/r;if(!(b<0||b>=n.outHeight||Math.floor(b)!==b))for(var w=0;w<o;++w){var x=(g+w)/a;x<0||x>=n.outWidth||Math.floor(x)!==x||(y+=e.get(f,b,x,p))}}l.set(y*c,f,h,d,p)}return l.toTensor()},e.prototype.cast=function(e,t){return Ot(e,t,this)},e.prototype.reshape=function(e,t){return kt(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,"avgPool"),this.pool(e,t,"avg").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){this.assertNotComplex(e,"resizeBilinear");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=Dr([i,t,n,u],e.dtype),c=[r&&t>1?o-1:o,r&&n>1?s-1:s],f=[r&&t>1?t-1:t,r&&n>1?n-1:n],p=0;p<i;p++)for(var h=0;h<t;h++)for(var d=0;d<n;d++)for(var m=0;m<u;m++){var g=c[0]*h/f[0],y=c[1]*d/f[1],v=Math.floor(g),b=Math.min(o-1,Math.ceil(g)),w=Math.floor(y),x=Math.min(s-1,Math.ceil(y)),_=e.get(p,v,w,m),E=e.get(p,b,w,m),N=y-w,S=_+(e.get(p,v,x,m)-_)*N,O=S+(E+(e.get(p,b,x,m)-E)*N-S)*(g-v);l.set(O,p,h,d,m)}return l.toTensor()},e.prototype.resizeBilinearBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeBilinearBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=Dr([a,i,o,s],t.dtype),p=[n&&l>1?i-1:i,n&&c>1?o-1:o],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=p[0]/h[0],m=p[1]/h[1],g=0;g<a;g++)for(var y=0;y<l;y++)for(var v=y*d,b=Math.floor(v),w=Math.min(Math.ceil(v),i-1),x=v-b,_=1-x,E=0;E<c;E++)for(var N=E*m,S=Math.floor(N),O=Math.min(Math.ceil(N),o-1),k=N-S,I=1-k,C=0;C<s;C++){var P=e.get(g,y,E,C),A=f.get(g,b,S,C);A+=P*_*I,f.set(A,g,b,S,C);var T=f.get(g,b,O,C);T+=P*_*k,f.set(T,g,b,O,C);var M=f.get(g,w,S,C);M+=P*x*I,f.set(M,g,w,S,C);var R=f.get(g,w,O,C);R+=P*x*k,f.set(R,g,w,O,C)}return f.toTensor()},e.prototype.resizeNearestNeighbor=function(e,t,n,r){this.assertNotComplex(e,"resizeNearestNeighbor");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=Dr([i,t,n,u],e.dtype),c=[r&&t>1?o-1:o,r&&n>1?s-1:s],f=[r&&t>1?t-1:t,r&&n>1?n-1:n],p=0;p<i;p++)for(var h=0;h<t;h++)for(var d=0;d<n;d++)for(var m=0;m<u;m++){var g=c[0]*h/f[0],y=c[1]*d/f[1],v=Math.min(o-1,r?Math.round(g):Math.floor(g)),b=Math.min(s-1,r?Math.round(y):Math.floor(y)),w=e.get(p,v,b,m);l.set(w,p,h,d,m)}return l.toTensor()},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeNearestNeighborBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=Dr([a,i,o,s],t.dtype),p=[n&&l>1?i-1:i,n&&c>1?o-1:o],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=1/(p[0]/h[0]),m=1/(p[1]/h[1]),g=2*Math.ceil(d)+2,y=2*Math.ceil(m)+2,v=0;v<a;v++)for(var b=0;b<i;b++)for(var w=0;w<o;w++)for(var x=Math.floor(b*d),_=Math.floor(x-g/2),E=Math.floor(w*m),N=Math.floor(E-y/2),S=0;S<s;S++){for(var O=0,k=0;k<g;k++){var I=k+_;if(!(I<0||I>=l))for(var C=0;C<y;C++){var P=C+N;if(!(P<0||P>=c)){var A=p[0]*(I/h[0]),T=p[1]*(P/h[1]),M=Math.min(i-1,n?Math.round(A):Math.floor(A)),R=Math.min(o-1,n?Math.round(T):Math.floor(T));b===M&&w===R&&(O+=e.get(v,I,P,S))}}}f.set(O,v,b,w,S)}return f.toTensor()},e.prototype.batchNormalization=function(e,t,n,r,a,i){this.assertNotComplex([e,t,n,a,i],"batchNormalization");for(var o=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=a?a.dataSync():new Float32Array([1]),c=i?i.dataSync():new Float32Array([0]),f=new Float32Array(o.length),p=c.length,h=l.length,d=u.length,m=s.length,g=0,y=0,v=0,b=0,w=0;w<o.length;++w)f[w]=c[g++]+(o[w]-s[y++])*l[v++]/Math.sqrt(u[b++]+r),g>=p&&(g=0),y>=m&&(y=0),v>=h&&(v=0),b>=d&&(b=0);return st(f,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){this.assertNotComplex(e,"localResponseNormalization4D");var i=e.shape[3],o=i-1,s=e.dataSync(),u=b(e.shape),l=new Float32Array(u);function c(e){for(var n=e%i,r=e-n+Math.max(0,n-t),a=e-n+Math.min(n+t,o),u=0;r<=a;r++){var l=s[r];u+=l*l}return u}for(var f=0;f<u;f++){var p=c(f),h=s[f]*Math.pow(n+r*p,-a);l[f]=h}return st(l,e.shape)},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){this.assertNotComplex(e,"LRNGrad");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=n.dataSync(),f=new Float32Array(b(e.shape)),p=b(e.shape),h=0;h<p;h++){for(var d=h%s,m=h-d+Math.max(0,d-r),g=h-d+Math.min(s,d+r+1),y=0,v=m;v<g;v++)y+=Math.pow(l[v],2);for(y=i*y+a,v=m;v<g;v++){var w=-2*i*o*l[v]*c[h]/y;h===v&&(w+=Math.pow(y,-o)),w*=u[h],f[v]+=w}}return st(f,e.shape)},e.prototype.multinomial=function(e,t,n,r){this.assertNotComplex(e,"multinomial");for(var a=t?e:Ze(e),i=a.shape[0],o=a.shape[1],s=ft([i,n],"int32"),u=s.dataSync(),l=a.dataSync(),c=0;c<i;++c){var f=c*o,p=new Float32Array(o-1);p[0]=l[f];for(var h=1;h<p.length;++h)p[h]=p[h-1]+l[f+h];for(var d=Tr(r.toString()),m=c*n,g=0;g<n;++g){var y=d();u[m+g]=p.length;for(var v=0;v<p.length;v++)if(y<p[v]){u[m+g]=v;break}}}return s},e.prototype.oneHot=function(e,t,n,r){this.assertNotComplex(e,"oneHot");var a=new Float32Array(e.size*t);a.fill(r);for(var i=0;i<e.size;++i)e.get(i)>=0&&e.get(i)<t&&(a[i*t+e.get(i)]=n);return it(a,[e.size,t],"int32")},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return this.assertNotComplex(e,"nonMaxSuppression"),Ct(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.depthToSpace=function(e,t,n){d("NHWC"===n,"Only NHWC dataFormat supported on CPU for depthToSpace. 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n=e.length,r=[],a=0;a<n;a++){var i=n-1-a,o=e[i]||1;(t[t.length-1-a]||1)>1&&1===o&&r.unshift(i)}return r}function Rt(e,t){for(var n=[],r=0;r<t.length;r++){var a=e[e.length-r-1],i=t.length-r-1,o=t[i];(null==a||1===a&&o>1)&&n.unshift(i)}return n}function Dt(e,t){for(var n=[],r=Math.max(e.length,t.length),a=0;a<r;a++){var i=e[e.length-a-1];null==i&&(i=1);var o=t[t.length-a-1];if(null==o&&(o=1),1===i)n.unshift(o);else if(1===o)n.unshift(i);else{if(i!==o)throw Error("Operands could not be broadcast together with shapes "+e+" and "+t+".");n.unshift(i)}}return n}var jt=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.supportsBroadcasting=!0,this.outputShape=Dt(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},Lt="return a + b;",Bt="return a - b;",zt=function(){function e(e,t,n){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.outputShape=Dt(t,n),this.userCode="\n      uniform float NAN;\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,"NAN"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}();function Ft(e,t,n,r){var a=e.map(function(e){var t=b(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?"uniform float "+e.name+(t>1?"["+t+"]":"")+";":"uniform sampler2D "+e.name+";"});a=a.join("\n");var i,o=e.map(function(e){return function(e,t,n){var r=function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1)+"Flat",r=b(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?"float "+n+"(int index) {return "+t+";}":"\n      float "+n+"(int index) {\n        for (int i = 0; i < "+r+"; i++) {\n          if (i == index) {\n            return "+t+"[i];\n          }\n        }\n      }\n    ";var a=e.shapeInfo.texShape,i=a[0],o=a[1];return 1===o&&1===i?"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR);\n      }\n    ":1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / "+i+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ":1===i?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index) + 0.5) / "+o+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = UVfrom1D("+i+", "+o+", index);\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);return r+=function e(t){var n=t.shapeInfo.logicalShape;switch(n.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?"float "+n+"() {return "+t+";}":"\n    float "+n+"() {\n      return sampleTexture("+t+", halfCR);\n    }\n  "}(t);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);return"\n    float "+n+"(int index) {\n      return "+n+"Flat(index);\n    }\n  "}(t);case 2:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=t.shapeInfo.texShape;if(null!=i&&w(n,i)){var o=i[0];return"\n    float "+a+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i[1]+".0, "+o+".0);\n      return sampleTexture("+r+", uv);\n    }\n  "}var s=k(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n      "+e($t(t,c))+"\n      float "+a+"(int row, int col) {\n        return "+a+"("+Gt(["row","col"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col) {\n        int index = row * "+n[1]+" + col;\n        return "+a+"Flat(index);\n      }\n    ";var f=i[0],p=i[1];return 1===p?"\n    float "+a+"(int row, int col) {\n      int index = row * "+n[1]+" + col;\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / "+f+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":1===f?"\n    float "+a+"(int row, int col) {\n      int index = row * "+n[1]+" + col;\n      vec2 uv = vec2((float(index) + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n  float "+a+"(int row, int col) {\n    vec2 uv = UVfrom2D("+f+", "+p+", "+n[1]+", row, col);\n    return sampleTexture("+r+", uv);\n  }\n"}(t);case 3:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[1]*n[2],o=n[2],s=k(n),u=s.newShape,l=s.keptDims,c=u;if(c.length<n.length)return"\n        "+e($t(t,c))+"\n        float "+a+"(int row, int col, int depth) {\n          return "+a+"("+Gt(["row","col","depth"],l)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth) {\n        int index = row * "+i+" + col * "+o+" + depth;\n        return "+a+"Flat(index);\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===i?"\n        float "+a+"(int row, int col, int depth) {\n          int texR = row;\n          int texC = col * "+o+" + depth;\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+h+".0, "+p+".0);\n          return sampleTexture("+r+", uv);\n        }\n      ":h===o?"\n    float "+a+"(int row, int col, int depth) {\n      int texR = row * "+n[1]+" + col;\n      int texC = depth;\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+r+", uv);\n    }\n  ":"\n      float "+a+"(int row, int col, int depth) {\n        vec2 uv = UVfrom3D(\n            "+p+", "+h+", "+i+", "+o+", row, col, depth);\n        return sampleTexture("+r+", uv);\n      }\n  "}(t);case 4:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[3],o=n[2]*i,s=n[1]*o,u=k(n),l=u.newShape,c=u.keptDims;if(l.length<n.length)return"\n      "+e($t(t,l))+"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        return "+a+"("+Gt(["row","col","depth","depth2"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int index = row * "+s+" + col * "+o+" +\n            depth * "+i+" + depth2;\n        return "+a+"Flat(index);\n      }\n    ";var f=t.shapeInfo.texShape,p=f[0],h=f[1];return h===s?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int texR = row;\n        int texC = col * "+o+" + depth * "+i+" + depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":h===i?"\n      float "+a+"(int row, int col, int depth, int depth2) {\n        int texR = row * "+n[1]*n[2]+" + col * "+n[2]+" + depth;\n        int texC = depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+h+".0, "+p+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2) {\n      vec2 uv = UVfrom4D("+p+", "+h+", "+s+", "+o+",\n          "+i+", row, col, depth, depth2);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 5:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[4],o=n[3]*i,s=n[2]*o,u=n[1]*s,l=k(n),c=l.newShape,f=l.keptDims;if(c.length<n.length)return"\n      "+e($t(t,c))+"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+a+"("+Gt(["row","col","depth","depth2","depth3"],f)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int index = row * "+u+" + col * "+s+" +\n            depth * "+o+" + depth2 * "+i+" + depth3;\n        return "+a+"Flat(index);\n      }\n    ";var p=t.shapeInfo.texShape,h=p[0],d=p[1];return d===u?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        int texC = col * "+s+" + depth * "+o+" +\n                   depth2 * "+i+" + depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":d===i?"\n      float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row * "+n[1]*n[2]+" + col * "+n[2]+" +\n                   depth * "+n[3]+" + depth2;\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+h+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth, int depth2, int depth3) {\n      vec2 uv = UVfrom5D("+h+", "+d+", "+u+", "+s+",\n          "+o+", "+i+", row, col, depth, depth2, depth3);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);case 6:return function(t){var n=t.shapeInfo.logicalShape,r=t.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=n[5],o=n[4]*i,s=n[3]*o,u=n[2]*s,l=n[1]*u,c=k(n),f=c.newShape,p=c.keptDims;if(f.length<n.length)return"\n      "+e($t(t,f))+"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+a+"("+Gt(["row","col","depth","depth2","depth3","depth4"],p)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = row * "+l+" + col * "+u+" +\n            depth * "+s+" + depth2 * "+o+" + depth3 * "+o+"\n            + depth4\n        return "+a+"Flat(index);\n      }\n    ";var h=t.shapeInfo.texShape,d=h[0],m=h[1];return m===l?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        int texC = col * "+u+" + depth * "+s+" + depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":m===i?"\n      float "+a+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row * "+n[1]*n[2]+" + col * "+n[2]+" + depth;\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+r+", uv);\n      }\n    ":"\n    float "+a+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      vec2 uv = UVfrom6D("+d+", "+m+", "+l+", "+u+",\n          "+s+", "+o+", "+i+"\n          ,row, col, depth, depth2, depth3, depth4);\n      return sampleTexture("+r+", uv);\n    }\n  "}(t);default:throw new Error(n.length+"-D input sampling is not yet supported")}}(e),(n||w(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=function(e,t,n){var r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=Mt(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||o.length>0),c=function(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}(o),f=e.shapeInfo.isUniform;if(l&&!c)return function(e,t,n,r){var a=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o="int";2===i?o="ivec2":3===i?o="ivec3":4===i&&(o="ivec4");var s=Mt(e.shapeInfo.logicalShape,t.logicalShape),u=i-a;return"\n    float "+r+"() {\n      "+o+" coords = getOutputCoords();\n      "+(0===a?"":i<2&&s.length>=1?"coords = 0;":s.map(function(e){return"coords["+(e+u)+"] = 0;"}).join("\n"))+"\n      return get"+n+"("+(i<2&&a>0?"coords":e.shapeInfo.logicalShape.map(function(e,t){return"coords["+(t+u)+"]"}).join(", "))+");\n    }\n  "}(e,t,a,i);var p=b(e.shapeInfo.logicalShape),h="";l&&c&&(h="\n        int mainPart = index / "+p+";\n        index -= mainPart * "+p+";\n      ");var d=t.texShape;if(f)return 1===p?"float "+i+"() {return "+r+";}":"\n      float "+i+"() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                              vec2("+d[0]+", "+d[1]+"));\n        int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n        "+h+"\n        return get"+a+"Flat(index);\n      }\n    ";var m=e.shapeInfo.texShape;return w(m,d)?"\n      float "+i+"() {\n        return sampleTexture("+r+", resultUV);\n      }\n    ":"\n    float "+i+"() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+d[0]+", "+d[1]+"));\n      int index = resTexRC.x * "+d[1]+" + resTexRC.y;\n      "+h+"\n      int texR = index / "+m[1]+";\n      int texC = index - texR * "+m[1]+";\n      vec2 uv = (vec2(texC, texR) + halfCR) /\n                 vec2("+m[1]+".0, "+m[0]+".0);\n\n      return sampleTexture("+r+", uv);\n    }\n  "}(e,t,n)),r}(e,t,r)}).join("\n"),s=t.texShape;return i=t.isPacked?function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 2:return function(e,t){return"\n    ivec2 getOutputCoords() {\n      return 2 * ivec2(resultUV.yx * vec2("+Math.ceil(t[0]/2)+", "+Math.ceil(t[1]/2)+"));\n    }\n  "}(0,t);default:throw new Error(e.length+"-D output packed sampling is not yet supported")}}(t.logicalShape,s):function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){return 1===t[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ":1===t[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){return w(e,t)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ":1===e[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===e[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return function(e,t){var n=e[1]*e[2],r=e[2];return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+n+";\n      index -= r * "+n+";\n      int c = index / "+r+";\n      int d = index - c * "+r+";\n      return ivec3(r, c, d);\n    }\n  "}(e,t);case 4:return function(e,t){var n=e[3],r=e[2]*n,a=e[1]*r;return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      int r = index / "+a+";\n      index -= r * "+a+";\n\n      int c = index / "+r+";\n      index -= c * "+r+";\n\n      int d = index / "+n+";\n      int d2 = index - d * "+n+";\n\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=e[4],r=e[3]*n,a=e[2]*r,i=e[1]*a;return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      int r = index / "+i+";\n      index -= r * "+i+";\n\n      int c = index / "+a+";\n      index -= c * "+a+";\n\n      int d = index / "+r+";\n      index -= d * "+r+";\n\n      int d2 = index  / "+n+";\n      int d3 = index - d2 * "+n+";\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=e[5],r=e[4]*n,a=e[3]*r,i=e[2]*a,o=e[1]*i;return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      int r = index / "+o+";\n      index -= r * "+o+";\n\n      int c = index / "+i+";\n      index -= c * "+i+";\n\n      int d = index / "+a+";\n      index -= d * "+a+";\n\n      int d2 = index / "+r+";\n      index -= d2 * "+r+";\n\n      int d3 = index / "+n+";\n      int d4 = index - d3 * "+n+";\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}}(t.logicalShape,s),[Wt,Vt,Ut,a,i,o,n].join("\n")}var Vt="\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\n    return texture2D(textureSampler, uv).r;\n  }\n",Ut="\n  void setOutput(float val) {\n    gl_FragColor = vec4(val, 0, 0, 0);\n  }\n",Wt="\n  precision highp float;\n  precision highp int;\n  varying vec2 resultUV;\n  const vec2 halfCR = vec2(0.5, 0.5);\n\n  struct ivec5\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n  };\n\n  struct ivec6\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n    int v;\n  };\n\n  bool isNaN(float val) {\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : 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int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\n    int stride1, int row, int col, int depth) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int row, int col, int depth,\n    int depth2) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n\n  \nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int 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Float32Array(Zt(t*n,r.downloadUnpackNumChannels));on(e,function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.FLOAT,s)});var u=new Float32Array(t*n);return Qt(s,u,r.downloadUnpackNumChannels),u}function nr(e,t,n,r){var a=Jt(t,n),i=a[0],o=a[1],s=new Uint8Array(Zt(t*n,4));return on(e,function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function rr(e,t,n,r){var a=en(t,n),i=a[0],o=a[1],s=new Float32Array(tn(t,n));on(e,function(){return e.readPixels(0,0,i,o,e.RGBA,e.FLOAT,s)});var u=new Float32Array(t*n);return function(e,t,n,r){var a=t*n;if(a<r.length)throw new Error("matrix length ("+r.length+") must be >= "+a);for(var i=n%2==1,o=t%2==1,s=Math.floor(n/2),u=Math.floor(t/2),l=en(t,n),c=l[0],f=l[1],p=i?4:0,h=n+(i?1:0),d=0,m=0,g=n,y=0;y<u;++y){for(var v=0;v<s;++v)r[m++]=e[d++],r[m++]=e[d++],r[g++]=e[d++],r[g++]=e[d++];d+=p,m+=h,g+=h}if(i){d=4*(c-1);var b=n-1;for(p=4*c,h=2*n,y=0;y<u;++y)r[b]=e[d],r[b+n]=e[d+2],d+=p,b+=h}if(o)for(d=(f-1)*c*4,b=(t-1)*n,v=0;v<s;++v)r[b++]=e[d++],r[b++]=e[d++],d+=2;return i&&o&&(r[r.length-1]=e[e.length-4]),r}(s,t,n,u)}var ar=Object.freeze({getWebGLContextAttributes:function(){return{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0}},createWebGLContext:Bn,createVertexShader:zn,createVertexBuffer:Fn,createIndexBuffer:Vn,getTextureConfig:Un,createFloat32MatrixTexture:qn,createFloat16MatrixTexture:$n,createUnsignedBytesMatrixTexture:Gn,createPackedMatrixTexture:Hn,bindVertexProgramAttributeStreams:Kn,uploadPixelDataToTexture:Xn,uploadMatrixToTexture:Jn,uploadMatrixToPackedTexture:Zn,maybeCreateBufferFromOutputTexture:Qn,downloadFloat32MatrixFromBuffer:er,downloadFloat32MatrixFromOutputTexture:tr,downloadByteEncodedFloatMatrixFromOutputTexture:nr,downloadMatrixFromPackedOutputTexture:rr}),ir=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:Bn(),1===me.get("WEBGL_VERSION")?(this.textureFloatExtension=fn(this.gl,"OES_texture_float"),this.colorBufferFloatExtension=this.gl.getExtension("WEBGL_color_buffer_float"),me.get("WEBGL_RENDER_FLOAT32_ENABLED")||(this.textureHalfFloatExtension=fn(this.gl,"OES_texture_half_float"),this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float"))):this.colorBufferFloatExtension=fn(this.gl,"EXT_color_buffer_float"),this.loseContextExtension=fn(this.gl,"WEBGL_lose_context"),this.vertexBuffer=Fn(this.gl),this.indexBuffer=Vn(this.gl),this.framebuffer=Nn(this.gl),this.textureConfig=Un(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t=this.gl;on(t,function(){return t.finish()}),on(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),on(t,function(){return t.deleteFramebuffer(e.framebuffer)}),on(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),on(t,function(){return t.deleteBuffer(e.vertexBuffer)}),on(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),on(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.loseContextExtension.loseContext(),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,un(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),qn(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),$n(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),Gn(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),Xn(this.gl,e,t)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),Hn(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(An(this.gl,this.framebuffer),this.outputTexture=null),on(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,n,r){this.throwIfDisposed();var a=xn();return Jn(this.gl,e,t,n,r,a,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,n,r){return this.throwIfDisposed(),Zn(this.gl,e,t,n,r,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return tr(r.gl,t,n,r.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return nr(r.gl,t,n,r.textureConfig)})},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t,n){return er(this.gl,e,t,n,this.textureConfig)},e.prototype.maybeCreateBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=Qn(this.gl,e,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,n,r=this;if(me.get("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return rr(r.gl,t,n,r.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=hn(t,e),r=zn(t),a=mn(t);return on(t,function(){return t.attachShader(a,r)}),on(t,function(){return t.attachShader(a,n)}),gn(t,a),this.autoDebugValidate&&yn(t,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=Kn(t,this.program,this.vertexBuffer)),a},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&on(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&yn(this.gl,this.program),on(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?kn(this.gl,e,t):In(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),on(this.gl,function(){return n.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),Cn(this.gl,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=en(t,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},e.prototype.debugValidate=function(){null!=this.program&&yn(this.gl,this.program),Tn(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),on(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),on(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=fn(this.gl,2===me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},e.prototype.endQuery=function(){if(2!==me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return l(this,void 0,void 0,function(){var t=this;return c(this,function(n){switch(n.label){case 0:return[4,S(function(){return t.isQueryAvailable(e,me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(e,me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}return a=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise(function(n){t.addItemToPoll(function(){return e.isFencePassed()},function(){return n()})})},e.prototype.pollItems=function(){for(var e=function(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var a=t+n>>1;e[a]()?(r=a,t=a+1):n=a-1}return r}(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t)(0,this.itemsToPoll[t].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||S(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),Pn(this.gl,e,this.framebuffer),this.autoDebugValidate&&Tn(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Pn(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&Tn(this.gl)):An(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;Pn(r,e,this.framebuffer),this.autoDebugValidate&&Tn(r),this.outputTexture=e,on(r,function(){return r.viewport(0,0,t,n)}),on(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),on(this.gl,function(){return a.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},e}();function or(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach(function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!w(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!w(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}})}var sr=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(t-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(t-1)+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}(),ur=function(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        int r = rc.x;\n        int c = rc.y;\n        int rp1 = r + 1;\n        int cp1 = c + 1;\n\n        bool cEdge = cp1 >= "+e[1]+";\n        bool rEdge = rp1 >= "+e[0]+";\n\n        gl_FragColor = vec4(\n            getA(r, c),\n            cEdge ? 0. : getA(r, cp1),\n            rEdge ? 0. : getA(rp1, c),\n            rEdge || cEdge ? 0. : getA(rp1, cp1)\n          );\n      }\n    "},lr=function(e,t,n){if(this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var r=e.filterHeight,a=e.filterWidth,i=e.strideHeight,o=e.strideWidth,s=e.padInfo.top,u=e.padInfo.left;this.outputShape=e.outShape;var l="avg"===t,c="0.0";if(l||(c="-1.0 / 0.0"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+o+");\n        const ivec2 pads = ivec2("+s+", "+u+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+r+"; wR++) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+a+"; wC++) {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+a+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var f=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(f="avgValue / count");var p=4*Math.floor(a/4),h=a%4,d="\n      if ("+l+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+s+", "+u+");\n      const float initializationValue = "+c+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float 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Please use float32 or int32 tensors.");if(l<0||f>255)throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but got range ["+l+" - "+f+"].")}return[4,n.data()];case 3:for(p=c.sent(),h="float32"===n.dtype?255:1,d=new Uint8ClampedArray(i*a*4),m=0;m<a*i;++m)g=void 0,y=void 0,v=void 0,b=void 0,1===o?(g=p[m]*h,y=p[m]*h,v=p[m]*h,b=255):3===o?(g=p[3*m]*h,y=p[3*m+1]*h,v=p[3*m+2]*h,b=255):4===o&&(g=p[4*m]*h,y=p[4*m+1]*h,v=p[4*m+2]*h,b=p[4*m+3]*h),d[0+(w=4*m)]=Math.round(g),d[w+1]=Math.round(y),d[w+2]=Math.round(v),d[w+3]=Math.round(b);return null!=t&&(t.width=i,t.height=a,x=t.getContext("2d"),_=new ImageData(d,i,a),x.putImageData(_,0,0)),n!==e&&n.dispose(),[2,d]}})})}function Dr(e,t,n){return void 0===t&&(t="float32"),new X(e,t,n)}function jr(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}var Lr=Je({batchToSpaceND_:function(e,t,n){var r=Xe(e,"x","batchToSpaceND"),a=t.reduce(function(e,t){return e*t});return d(r.rank>=1+t.length,"input rank should be > than [blockShape] but got "+r.rank),d(n.length===t.length,"crops.shape[0] must be equal to [blockShape] but got "+n.length),d(r.shape[0]%a==0,"input tensor batch must be divisible by prod( blockShape )"),me.engine.runKernel(function(e){return e.batchToSpaceND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.spaceToBatchND(t,n)}}})}}),Br=Je({cast_:function(e,t){var n=Xe(e,"x","cast");return me.engine.runKernel(function(e){return e.cast(n,t)},{$x:n},function(e){return{$x:function(){return e.clone()}}})}}),zr=Je({clone_:function(e){var t=Xe(e,"x","clone");return me.engine.runKernel(function(e){return Q.make(t.shape,{dataId:t.dataId},t.dtype)},{$x:t},function(e){return{$x:function(){return e.toFloat()}}})}}),Fr=Je({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Xe(e,"x","cumsum"),i=Fe([t|=0],a.rank),o=a;null!=i&&(o=a.transpose(i));var s=Ue(1,a.rank)[0],u=me.engine.runKernel(function(e){return e.cumsum(o,s,n,r)},{permutedX:o},function(e){return{permutedX:function(){return e.cumsum(t,n,!r)}}});return null!=i&&(u=u.transpose(i)),u}}),Vr=Je({depthToSpace_:function(e,t,n){void 0===n&&(n="NHWC");var r=Xe(e,"x","depthToSpace"),a="NHWC"===n?r.shape[1]:r.shape[2],i="NHWC"===n?r.shape[2]:r.shape[3],o="NHWC"===n?r.shape[3]:r.shape[1];return d(a*t>=0,"Negative dimension size caused by overflow when multiplying\n      "+a+" and "+t+"  for depthToSpace with input shape\n      "+r.shape),d(i*t>=0,"Negative dimension size caused by overflow when multiplying\n      "+i+" and "+t+" for depthToSpace with input shape\n          "+r.shape),d(o%(t*t)==0,"Dimension size must be evenly divisible by "+t*t+" but is "+o+" for depthToSpace with input shape "+r.shape),me.engine.runKernel(function(e){return e.depthToSpace(r,t,n)},{$x:r})}}),Ur=Je({expandDims_:function(e,t){void 0===t&&(t=0);var n=Xe(e,"x","expandDims");d(t<=n.rank,"Axis must be <= rank of the tensor");var r=n.shape.slice();return t<0&&(d(-(n.rank+1)<=t,"Axis must be in the interval ["+-(n.rank+1)+", "+n.rank+"]"),t=n.rank+t+1),r.splice(t,0,1),ta(n,r)}}),Wr=Je({eye_:function(e,t,n,r){void 0===r&&(r="float32"),null==t&&(t=e);for(var a=Dr([e,t],r),i=e<=t?e:t,o=0;o<i;++o)a.set(1,o,o);var s=a.toTensor().as2D(e,t);if(null==n)return s;if(1===n.length)return ia(Ur(s,0),[n[0],1,1]);if(2===n.length)return ia(Ur(Ur(s,0),0),[n[0],n[1],1,1]);if(3===n.length)return ia(Ur(Ur(Ur(s,0),0),0),[n[0],n[1],n[2],1,1]);throw new Error("eye() currently supports only 1D and 2D batchShapes, but received "+n.length+"D.")}}),qr=Je({fromPixels_:function(e,t){if(void 0===t&&(t=3),t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");return me.engine.fromPixels(e,t)}}),$r=Je({multinomial_:function(e,t,n,r){void 0===r&&(r=!1);var a=Xe(e,"logits","multinomial"),i=a.size,o=a.rank;if(i<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+i+".");if(o>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+o);n=n||Math.random();var s=1===o?a.as2D(1,-1):a,u=me.engine.runKernel(function(e){return e.multinomial(s,r,t,n)},{logits2D:s});return 1===o?u.as1D():u}}),Gr=Je({oneHot_:function(e,t,n,r){void 0===n&&(n=1),void 0===r&&(r=0);var a=Xe(e,"indices","oneHot","int32");if(d("int32"===a.dtype,"Indices must be of dtype `int32`"),t<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+t);return me.engine.runKernel(function(e){return e.oneHot(a,t,n,r)},{$indices:a},function(e){return{$indices:function(){return _t(a)}}})}}),Hr=Je({pad_:function(e,t,n){void 0===n&&(n=0);var r=Xe(e,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var a=t.map(function(e){return e[0]});return me.engine.runKernel(function(e){return e.pad(r,t,n)},{$x:r},function(e){return{$x:function(){return e.slice(a,r.shape)}}})}}),Kr=Je({pad1d_:function(e,t,n){return void 0===n&&(n=0),d(2===t.length,"Invalid number of paddings. Must be length of 2."),Hr(e,[t],n)}}),Xr=Je({pad2d_:function(e,t,n){return void 0===n&&(n=0),d(2===t.length&&2===t[0].length&&2===t[1].length,"Invalid number of paddings. Must be length of 2 each."),Hr(e,t,n)}}),Yr=Je({pad3d_:function(e,t,n){return void 0===n&&(n=0),d(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,"Invalid number of paddings. Must be length of 2 each."),Hr(e,t,n)}}),Jr=Je({pad4d_:function(e,t,n){return void 0===n&&(n=0),d(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,"Invalid number of paddings. Must be length of 2 each."),Hr(e,t,n)}}),Zr=Je({rand_:function(e,t,n){var r=b(e),a=null;if(null==n||"float32"===n)a=new Float32Array(r);else if("int32"===n)a=new Int32Array(r);else{if("bool"!==n)throw new Error("Unknown data type "+n);a=new Uint8Array(r)}for(var i=0;i<r;i++)a[i]=t();return Q.make(e,{values:a},n)}}),Qr=Je({randomNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new Mr(t,n,r,!1,a),o=Dr(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),ea=Je({randomUniform_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=1),void 0===r&&(r="float32");for(var a=Dr(e,r),i=0;i<a.values.length;i++)a.values[i]=h(t,n);return a.toTensor()}}),ta=Je({reshape_:function(e,t){var n=Xe(e,"x","reshape");return t=O(t,n.size),d(n.size===b(t),"new shape and old shape must have the same number of elements."),me.engine.runKernel(function(e){return e.reshape(n,t)},{$x:n},function(e){return{$x:function(){return e.reshape(n.shape)}}})}}),na=Je({spaceToBatchND_:function(e,t,n){var r=Xe(e,"x","spaceToBatchND");return d(r.rank>=1+t.length,"input rank "+r.rank+" should be > than [blockShape] "+t.length),d(n.length===t.length,"paddings.shape[0] "+n.length+" must be equal to [blockShape] "+t.length),d(r.shape.reduce(function(e,r,a){return a>0&&a<=t.length?e&&(r+n[a-1][0]+n[a-1][1])%t[a-1]==0:e},!0),"input spatial dimensions "+r.shape.slice(1)+" with paddings "+n.toString()+" must be divisible by blockShapes "+t.toString()),me.engine.runKernel(function(e){return e.spaceToBatchND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.batchToSpaceND(t,n)}}})}}),ra=Je({squeeze_:function(e,t){var n=Xe(e,"x","squeeze");return ta(n,k(n.shape,t).newShape)}}),aa=Je({stack_:function(e,t){void 0===t&&(t=0);var n=Ye(e,"tensors","stack");if(d(n.length>=1,"Pass at least one tensor to tf.stack"),1===n.length)return n[0].expandDims(t);var r=n[0].rank,a=n[0].shape,i=n[0].dtype;d(t<=r,"Axis must be <= rank of the tensor"),n.forEach(function(e){m(a,e.shape,"All tensors passed to stack must have matching shapes")}),n.forEach(function(e){d(i===e.dtype,"All tensors passed to stack must have matching dtypes")});var o=n.map(function(e){return e.expandDims(t)});return vr(o,t)}}),ia=Je({tile_:function(e,t){var n=Xe(e,"x","tile");return d(n.rank===t.length,"Error in transpose: rank of input "+n.rank+" must match length of reps "+t+"."),me.engine.runKernel(function(e){return e.tile(n,t)},{$x:n},function(e){return{$x:function(){var r=_t(n);if(1===n.rank)for(var a=0;a<t[0];++a)r=r.add(e.slice([a*n.shape[0]],[n.shape[0]]));else if(2===n.rank)for(a=0;a<t[0];++a)for(var i=0;i<t[1];++i)r=r.add(e.slice([a*n.shape[0],i*n.shape[1]],[n.shape[0],n.shape[1]]));else if(3===n.rank)for(a=0;a<t[0];++a)for(i=0;i<t[1];++i)for(var o=0;o<t[2];++o)r=r.add(e.slice([a*n.shape[0],i*n.shape[1],o*n.shape[2]],[n.shape[0],n.shape[1],n.shape[2]]));else{if(4!==n.rank)throw new Error("Gradient for tile operation is not implemented for rank-"+n.rank+" tensors yet.");for(a=0;a<t[0];++a)for(i=0;i<t[1];++i)for(o=0;o<t[2];++o)for(var s=0;s<t[3];++s)r=r.add(e.slice([a*n.shape[0],i*n.shape[1],o*n.shape[2],s*n.shape[3]],[n.shape[0],n.shape[1],n.shape[2],n.shape[3]]))}return r}}})}}),oa=Je({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),null!=r&&"bool"===r)throw new Error("Unsupported data type "+r);for(var i=new Mr(t,n,r,!0,a),o=Dr(e,r),s=0;s<o.values.length;s++)o.values[s]=i.nextValue();return o.toTensor()}}),sa=Je({unstack_:function(e,t){void 0===t&&(t=0);for(var n,r=Xe(e,"x","unstack"),a=r.shape[t],i=Array(r.rank-1).fill(0),o=0,s=0;s<r.rank;s++)s!==t&&(i[o]=r.shape[s],o++);n=Array(a).fill(1);var u=Array(r.rank).fill(0),l=r.shape.slice();return n.map(function(e){l[t]=e;var n=r.slice(u,l);return u[t]+=e,n.reshape(i)})}});function ua(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);var a=Dr(e,"int32"),i=Dr([n.length,e.length],"int32");for(r=0;r<n.length;r++){var o=a.indexToLoc(n[r]),s=r*e.length;i.values.set(o,s)}return i.toTensor()}var la=300,ca=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.texData=new WeakMap,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,me.get("WEBGL_VERSION")<1)throw new Error("WebGL is not supported on this device");me.get("IS_BROWSER")&&(this.canvas=document.createElement("canvas")),null==e?(this.gpgpu=new ir(Bn(this.canvas)),this.gpgpuCreatedLocally=!0):this.gpgpuCreatedLocally=!1,this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*la,this.textureManager=new fr(this.gpgpu)}return e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error("Data buffer is already registered");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,complexTensors:null,texShape:null,usage:Kt.RENDER})},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error("pixels passed to tf.fromPixels() can not be null");var n=[e.height,e.width],r=[e.height,e.width,t];if(!(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData))throw new Error("pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was "+e.constructor.name);if(e instanceof HTMLVideoElement){if(null==this.fromPixelsCanvas){if(!me.get("IS_BROWSER"))throw new Error("Can't read pixels from HTMLImageElement outside the browser.");if("complete"!==document.readyState)throw new Error("The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixelsCanvas=document.createElement("canvas")}this.fromPixelsCanvas.width=e.width,this.fromPixelsCanvas.height=e.height,this.fromPixelsCanvas.getContext("2d").drawImage(e,0,0,e.width,e.height),e=this.fromPixelsCanvas}var a=Q.make(n,{},"int32");this.texData.get(a.dataId).usage=Kt.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId),e);var i=new function(e){this.variableNames=["A"];var t=e[0],n=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+n+".0, "+t+".0);\n\n        vec4 values = texture2D(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "}(r),o=this.compileAndRun(i,[a]);return a.dispose(),o},e.prototype.write=function(e,t){if(null==t)throw new Error("MathBackendWebGL.write(): values can not be null");this.throwIfNoData(e);var n=this.texData.get(e),r=n.texture,a=n.texShape,i=n.usage;if("complex64"===n.dtype)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");null!=r&&(this.releaseTexture(e,r,a,i),n.texture=null,n.texShape=null),n.usage=Kt.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.texture,a=t.values,i=t.texShape,o=t.dtype,s=t.complexTensors;if(null!=a)return this.cacheOnCPU(e),a;var u,l,c=null!=this.activeTimers;return c&&(u=performance.now()),l="complex64"===o?It(s.real.dataSync(),s.imag.dataSync()):this.getValuesFromTexture(r,e,o,i,n),c&&(this.downloadWaitMs+=performance.now()-u),this.cacheOnCPU(e,l),t.values},e.prototype.read=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o,s,u,l,f;return c(this,function(c){switch(c.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(this.throwIfNoData(e),n=this.texData.get(e),r=n.shape,a=n.texture,i=n.values,o=n.texShape,s=n.dtype,null!=i)return this.cacheOnCPU(e),[2,i];if(this.pendingRead.set(e,[]),!me.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===me.get("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return u=this.gpgpu.maybeCreateBufferFromTexture(a,o[0],o[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return c.sent(),l=u instanceof WebGLTexture?this.getValuesFromTexture(a,e,s,o,r):this.gpgpu.downloadFloat32MatrixFromBuffer(u,o[0],o[1]),this.cacheOnCPU(e,l),f=this.pendingRead.get(e),this.pendingRead.delete(e),f.forEach(function(e){return e(l)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,l]}})})},e.prototype.getValuesFromTexture=function(e,t,n,r,a){if(me.get("WEBGL_DOWNLOAD_FLOAT_ENABLED"))return this.texData.get(t).usage===Kt.PACK?this.gpgpu.downloadMatrixFromPackedTexture(e,r[0],r[1]):this.gpgpu.downloadFloat32MatrixFromOutputTexture(e,r[0],r[1]);var i=Q.make(a,{});this.texData.get(i.dataId).usage=Kt.DOWNLOAD;var o=Q.make(a,{dataId:t},n),s=new function(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      const float FLOAT_MAX = 1.70141184e38;\n      const float FLOAT_MIN = 1.17549435e-38;\n\n      lowp vec4 encode_float(highp float v) {\n        if (isNaN(v)) {\n          return vec4(255, 255, 255, 255);\n        }\n\n        highp float av = abs(v);\n\n        if(av < FLOAT_MIN) {\n          return vec4(0.0, 0.0, 0.0, 0.0);\n        } else if(v > FLOAT_MAX) {\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n        } else if(v < -FLOAT_MAX) {\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n        }\n\n        highp vec4 c = vec4(0,0,0,0);\n\n        highp float e = floor(log2(av));\n        highp float m = exp2(fract(log2(av))) - 1.0;\n\n        c[2] = floor(128.0 * m);\n        m -= c[2] / 128.0;\n        c[1] = floor(32768.0 * m);\n        m -= c[1] / 32768.0;\n        c[0] = floor(8388608.0 * m);\n\n        highp float ebias = e + 127.0;\n        c[3] = floor(ebias / 2.0);\n        ebias -= c[3] * 2.0;\n        c[2] += floor(ebias) * 128.0;\n\n        c[3] += 128.0 * step(0.0, -v);\n\n        return c / 255.0;\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        gl_FragColor = encode_float(x);\n      }\n    "}(a);this.compileAndRun(s,[o],i,null,!1);var u=this.texData.get(i.dataId),l=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(u.texture,u.texShape[0],u.texShape[1]);return o.dispose(),i.dispose(),l},e.prototype.time=function(e){return l(this,void 0,void 0,function(){var t,n,r,a,i,o;return c(this,function(s){switch(s.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),a=y(this.activeTimers),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(a).then(function(e){var t=0;return e.forEach(function(e){return t+=e}),t})];case 1:return i=s.sent(),o={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:i,wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,o]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return l(this,void 0,void 0,function(){var t;return c(this,function(n){return me.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,a=t.usage,i=t.complexTensors;null!=n&&this.releaseTexture(e,n,r,a),null!=i&&(i.real.dispose(),i.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var n=Q.make(e.shape,{},"complex64");return this.texData.get(n.dataId).complexTensors={real:me.engine.keep(e.clone()),imag:me.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,n){var r=new cr(n),a=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,a)},e.prototype.stridedSlice=function(e,t,n,r,a,i,o,s,u){var l=Ge(e.shape,t,n,r,a,i,o,s,u),c=l[0],f=l[1],p=l[2],h=f.filter(function(e,t){return-1===p.indexOf(t)});if(h.some(function(e){return 0===e}))return nt([],h);var d=new function(e,t,n,r){this.variableNames=["x"];var a=n.filter(function(e,t){return-1===r.indexOf(t)});this.outputShape=a;var i=n.length,o=qt(n.length),s=qt(a.length),u="";if(1===i)u="coords * strides + begin";else{var l=0;u=n.map(function(e,t){return-1===r.indexOf(t)?(l++,1===a.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(l-1)+"] * strides["+t+"] + begin["+t+"]"):"begin["+t+"]"}).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+e+");\n      "+o+" strides = "+o+"("+t+");\n\n      void main() {\n        "+s+" coords = getOutputCoords();\n        setOutput(getX("+u+"));\n      }\n    "}(c,r,f,p);return this.compileAndRun(d,[e])},e.prototype.reverse=function(e,t){var n=new function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),a=qt(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat2Tensors=function(e,t,n){var r=We([e.shape,t.shape],n),a=e.as2D(-1,b(e.shape.slice(n))),i=t.as2D(-1,b(t.shape.slice(n))),o=new function(e,t){this.variableNames=["A","B"],this.outputShape=[],this.outputShape=We([e,t],1),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        float value = 0.0;\n        if (yC < "+e[1]+") {\n          value = getA(yR, yC);\n        } else {\n          yC -= "+e[1]+";\n          value = getB(yR, yC);\n        }\n\n        setOutput(value);\n      }\n    "}(a.shape,i.shape);return this.compileAndRun(o,[a,i]).reshape(r)},e.prototype.concat=function(e,t){if(1===e.length)return e[0];for(var n=e[0],r=1;r<e.length;++r)n=this.concat2Tensors(n,e[r],t);return n},e.prototype.neg=function(e){var t=new gr(e.shape,"return -x;");return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,n,r){var a=n?e.shape[2]:e.shape[1],i=r?t.shape[1]:t.shape[2];if(me.get("WEBGL_RENDER_FLOAT32_ENABLED")&&1===e.shape[0]&&1===t.shape[0]&&w(jn(this.gpgpu.gl,[a,i]),[a,i])){var o=e.as2D(e.shape[1],e.shape[2]),s=t.as2D(t.shape[1],t.shape[2]),u=new ur(o.shape),l=Q.make(o.shape,{});this.texData.get(l.dataId).usage=Kt.PACK;var c=this.compileAndRun(u,[o],l),f=new ur(s.shape),p=Q.make(s.shape,{});this.texData.get(p.dataId).usage=Kt.PACK;var h=this.compileAndRun(f,[s],p),d=new function(e,t,n,r,a){void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["matrixA","matrixB"],this.outputShape=n;var i=r?e[0]:e[1],o=Math.ceil(i/2),s=r?"resultUV.t, center":"center, resultUV.t",u=a?"center, resultUV.s":"resultUV.s, center",l=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],c=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];this.userCode="\n      const float sharedDimension = "+o+".0;\n\n      vec4 dot2x2ARowBCol() {\n        vec4 result = vec4(0);\n        for (int ii = 0; ii < "+o+"; ii++) {\n          float i = float(ii);\n          float center = (i + 0.5) / sharedDimension;\n          vec4 a = texture2D(matrixA, vec2("+s+"));\n          vec4 b = texture2D(matrixB, vec2("+u+"));\n\n          result += ("+l[0]+" * "+c[0]+") + ("+l[1]+" * "+c[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        gl_FragColor = dot2x2ARowBCol();\n      }\n    "}(c.shape,h.shape,[a,i],n,r),m=Q.make(d.outputShape,{});this.texData.get(m.dataId).usage=Kt.PACK;var g=this.compileAndRun(d,[c,h],m),y=new function(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      const vec2 onePixel = 1. / vec2("+e[1]+", "+e[0]+");\n\n      void main() {\n        ivec2 rc = getOutputCoords();\n        vec2 modCoord = mod(vec2(rc.y, rc.x), 2.);\n\n        vec4 packedInput = texture2D(A,\n          resultUV - step(1., modCoord) * onePixel);\n\n        setOutput(\n          modCoord.x == 0. ?\n            (modCoord.y == 0. ? packedInput.r : packedInput.b) :\n            (modCoord.y == 0. ? packedInput.g : packedInput.a)\n        );\n      }\n    "}(g.shape),v=this.compileAndRun(y,[g]);return l.dispose(),p.dispose(),m.dispose(),v.reshape([1,g.shape[0],g.shape[1]])}return this.compileAndRun(new function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=["matrixA","matrixB"];var a=e[0],i=n?e[2]:e[1],o=r?t[1]:t[2],s=n?e[1]:e[2];this.outputShape=[a,i,o];var u=function(e,t){return n?"batch, "+t+" + "+e+", aRow":"batch, aRow, "+t+" + "+e},l=function(e,t){return r?"batch, bCol, "+t+" + "+e:"batch, "+t+" + "+e+", bCol"},c=4*Math.floor(s/4),f=s%4;this.userCode=" float dotARowBCol(int batch, int aRow, int bCol) {\n      float result = 0.0;\n      for (int i = 0; i < "+c+"; i += 4) {\n        vec4 a = vec4(\n          getMatrixA("+u(0,"i")+"),\n          getMatrixA("+u(1,"i")+"),\n          getMatrixA("+u(2,"i")+"),\n          getMatrixA("+u(3,"i")+")\n        );\n        vec4 b = vec4(\n          getMatrixB("+l(0,"i")+"),\n          getMatrixB("+l(1,"i")+"),\n          getMatrixB("+l(2,"i")+"),\n          getMatrixB("+l(3,"i")+")\n        );\n\n        result += dot(a, b);\n      }\n\n      if ("+(1===f)+") {\n        result += getMatrixA("+u(0,c)+") *\n          getMatrixB("+l(0,c)+");\n      } else if ("+(2===f)+") {\n        vec2 a = vec2(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+")\n        );\n        vec2 b = vec2(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+")\n        );\n        result += dot(a, b);\n      } else if ("+(3===f)+") {\n        vec3 a = vec3(\n          getMatrixA("+u(0,c)+"),\n          getMatrixA("+u(1,c)+"),\n          getMatrixA("+u(2,c)+")\n        );\n        vec3 b = vec3(\n          getMatrixB("+l(0,c)+"),\n          getMatrixB("+l(1,c)+"),\n          getMatrixB("+l(2,c)+")\n        );\n        result += dot(a, b);\n      }\n\n      return result;\n    }\n\n    void main() {\n      ivec3 resBRC = getOutputCoords();\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\n    }\n    "}(e.shape,t.shape,n,r),[e,t])},e.prototype.multiply=function(e,t){if("complex64"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),a=new jt("return areal * breal - aimag * bimag;",e.shape,t.shape),i=new jt("return areal * bimag + aimag * breal;",e.shape,t.shape),o=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag),this.makeComplexComponentTensorHandle(t,r.complexTensors.real),this.makeComplexComponentTensorHandle(t,r.complexTensors.imag)],s=this.compileAndRun(a,o),u=this.compileAndRun(i,o),l=this.complex(s,u);return s.dispose(),u.dispose(),l}var c=new zt("return a * b;",e.shape,t.shape),f=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],f)},e.prototype.batchNormalization=function(e,t,n,r,a,i){var o=[e,t,n],s=null;null!=i&&(s=i.shape,o.push(i));var u=null;null!=a&&(u=a.shape,o.push(a));var l=new function(e,t,n,r,a,i){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=["x","mean","variance"],Dt(e,t),Dt(e,n);var o="0.0";null!=r&&(Dt(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(Dt(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput((x - mean) * inv + offset);\n      }\n    "}(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,o)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var i=new function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "}(e.shape,t,n,r,a);return this.compileAndRun(i,[e])},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){var s=new function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "}(t.shape,r,a,i,o);return this.compileAndRun(s,[t,n,e])},e.prototype.tile=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=qt(this.rank),i=function(e){var t=e.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(1===t)return"imod(resRC, "+e[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod("+n[a]+", "+e[a]+")");return r.join()}(e);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new function(e,t,n){this.variableNames=["x"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,a=qt(r),i=t.map(function(e){return e[0]}).join(","),o=t.map(function(t,n){return t[0]+e[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=qt(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "}(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A","indices"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var a=qt(this.rank),i=function(e,t){var n=e.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],i=0;i<e.length;i++)i===t?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(e,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "}(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.batchToSpaceND=function(e,t,n){d(e.rank<=4,"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=Pe(e.shape,t,r),i=Ae(a.length,t.length),o=Te(e.shape,t,r),s=Me(n,t.length),u=Re(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){d(e.rank<=4,"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Pe(o.shape,t,r,!1),u=Ae(s.length,t.length,!1),l=Te(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],i=new function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=Math.ceil(a/n);this.outputShape=[r,i];var o="0.0",s="";"min"===t?(o="1.0 / 0.0",s="min"):"max"===t&&(o="-1.0 / 0.0",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,f="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",p="vec4";"all"===t?(o="1.0",f="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",p="bvec4"):"any"===t&&(o="0.0",f="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",p="bvec4");var h="";a%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+h+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+f+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(2===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+f+"\n        } else if ("+(3===c)+") {\n          "+p+" values = "+p+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+f+"\n        }\n        setOutput("+u+");\n      }\n    "}({windowSize:$e(a),inSize:a,batchSize:r},t),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],n);return this.compileAndRun(i,[e],l),1===l.shape[1]?l:this.reduce(l,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var i=new function(e,t,n){this.variableNames=["A"];var r=e.windowSize,a=e.batchSize,i=e.inSize,o=Math.ceil(i/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,o];var s="max"===t?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = 0;\n        float bestValue = getA(batch, inOffset);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "}({windowSize:$e(a),inSize:a,batchSize:r},t,null==n),o=i.outputShape,s=o[0],u=o[1],l=this.makeOutputArray([s,u],"int32"),c=[e];return null!=n&&c.push(n),this.compileAndRun(i,c,l),1===l.shape[1]?l:this.argReduce(e,t,l)},e.prototype.sum=function(e,t){ze("sum",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a),o=St(e.dtype);return this.reduce(i,"sum",o).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,a=Fe([r],e.rank),i=e;null!=a&&(i=e.transpose(a),r=Ue(1,e.rank)[0]);var o=function(e,t,n){for(var r=[],a=e.length,i=0;i<a;i++)i!==t?r.push(e[i]):r.push(n);return r}(i.shape,r,n),s=b([i.shape[r]]),u=i.as2D(-1,s),l=St(e.dtype),c=this.segOpCompute(u,"unsortedSegmentSum",t,l,n).reshape(o);return null!=a&&(c=c.transpose(Ve(a))),c},e.prototype.segOpCompute=function(e,t,n,r,a){var i=e.shape[0],o=e.shape[1],s=function(e,t){var n,r=!1;for(e<=qe?(n=e,r=!0):n=D(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=D(e,n+1)}return n}(o,a),u=new function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, filter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+f+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "}({windowSize:s,inSize:o,batchSize:i,numSegments:a},t),l=u.outputShape,c=l[0],f=l[1],p=this.makeOutputArray([c,f],r);return this.compileAndRun(u,[e,n],p),p.shape[1]===a?p:(n=dt(0,a).tile([o/s]),this.segOpCompute(p,t,n,r,a))},e.prototype.argMin=function(e,t){var n=[t];ze("argMin",n,e.rank);var r=je(e.shape,n),a=r[0],i=b(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"min").reshape(a)},e.prototype.argMax=function(e,t){var n=[t];ze("argMax",n,e.rank);var r=je(e.shape,n),a=r[0],i=b(r[1]),o=e.as2D(-1,i);return this.argReduce(o,"max").reshape(a)},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);var a=new function(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,a=e[e.length-1],i=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+a+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+qt(r)+" coords = getOutputCoords();\n        int end = "+Ht(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+a+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+i+" end) {\n            continue;\n          }\n          if (idx == end && "+t+") {\n            continue;\n          }\n          "+Ht(r,"coords")+" = idx;\n          val += getX("+function(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "}(e.shape,n,r);return this.compileAndRun(a,[e])},e.prototype.equal=function(e,t){var n=new zt("return float(a == b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new zt("return float(a != b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){var n=new zt("return float(a < b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new zt("return float(a <= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){var n=new zt("return float(a > b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new zt("return float(a >= b);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new gr(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new zt("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new zt("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"bool");return this.compileAndRun(n,[e,t],r)},e.prototype.select=function(e,t,n){var r=new function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+i[u]),u<e&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=qt(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "}(e.rank,t.shape,t.rank),a=this.makeOutputArray(r.outputShape,Nt(t.dtype,n.dtype));return this.compileAndRun(r,[e,t,n],a)},e.prototype.where=function(e){Ce("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return ua(e.shape,t)},e.prototype.topk=function(e,t,n){return Tt(e.dataSync(),e.shape,e.dtype,t)},e.prototype.min=function(e,t){ze("min",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"min",i.dtype).reshape(r)},e.prototype.minimum=function(e,t){var n=new zt("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new zt("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[e,t],null,r)},e.prototype.max=function(e,t){ze("max",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"max",i.dtype).reshape(r)},e.prototype.maximum=function(e,t){var n=new zt("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){ze("all",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},e.prototype.any=function(e,t){ze("any",t,e.rank);var n=je(e.shape,t),r=n[0],a=b(n[1]),i=e.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new zt("return (a - b) * (a - b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new zt("if (a == b) return 1.0;\n  return a / b;",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new zt("\n  float resultSign = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  int result = ia / ib;\n  int amodb = ia - ib * result;\n\n  if (resultSign < 0.0 && amodb != 0) {\n    result -= 1;\n  }\n  return float(result);\n",e.shape,t.shape),r=this.makeOutputArray(n.outputShape,"int32");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Lt);var n=new zt(Lt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,Nt(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,a=this.texData.get(e.dataId),i=this.texData.get(t.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.complexTensors.imag,i.complexTensors.imag]].map(function(a){var i=a[0],o=a[1],s=new zt(n,e.shape,t.shape),u=r.makeOutputArray(s.outputShape,Nt(i.dtype,o.dtype)),l=r.makeComplexComponentTensorHandle(e,i),c=r.makeComplexComponentTensorHandle(t,o);return r.compileAndRun(s,[l,c],u)}),s=o[0],u=o[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],n=1;n<e.length;n++)t=this.add(t,e[n]);return t},e.prototype.subtract=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,Bt);var n=new zt(Bt,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,Nt(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new zt("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=n.getCustomSetupFunc(),a=this.makeOutputArray(n.outputShape,Nt(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],a,r)},e.prototype.ceil=function(e){var t=new gr(e.shape,"return ceil(x);");return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new gr(e.shape,"return floor(x);");return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new gr(e.shape,"\n  if (isNaN(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new gr(e.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new gr(e.shape,"return exp(x);");return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new gr(e.shape,"return exp(x) - 1.0;");return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new gr(e.shape,"if (x < 0.0) return NAN;\n  return log(x);"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.log1p=function(e){var t=new gr(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new gr(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new gr(e.shape,"return inversesqrt(x);");return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new gr(e.shape,"return x * x;");return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new gr(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n");return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new gr(e.shape,"return (x >= 0.0) ? x : (exp(x) - 1.0);");return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new zt("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new gr(e.shape,"\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = 1.7580993408473768;\n  float scale = 1.0507009873554805;\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new gr(e.shape,"return float(int(x));"),n=this.makeOutputArray(t.outputShape,"int32");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new function(e,t,n){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      void main() {\n        float value = getAAtOutCoords();\n        if (isNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, float("+t+"), float("+n+")));\n      }\n    "}(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new gr(e.shape,"return abs(x);");return this.compileAndRun(t,[e])},e.prototype.sigmoid=function(e){var t=new gr(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new gr(e.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return sin(x);\n");return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return cos(x);\n");return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new gr(e.shape,"return tan(x);");return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new gr(e.shape,"return asin(x);");return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new gr(e.shape,"return acos(x);");return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  return atan(x);\n");return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new zt("\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n\n  return atan(a, b);\n",e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new gr(e.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new gr(e.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new gr(e.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new gr(e.shape,"return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.atanh=function(e){var t=new gr(e.shape,"if (isNaN(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;"),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.erf=function(e){var t=new gr(e.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n');return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new gr(e.shape,function(e){return void 0===e&&(e=0),yr+"\n    return x > 0.0 ? 1.0 : float("+e+");\n  "}(t));return this.compileAndRun(n,[e])},e.prototype.conv2d=function(e,t,n){var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode="\n      const ivec2 strides = ivec2("+r+", "+a+");\n      const ivec2 pads = ivec2("+t+", "+n+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+"; wR++) {\n          int xR = xRCorner + wR * "+i+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+u+"; wC++) {\n            int xC = xCCorner + wC * "+o+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+l+"; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if ("+(1===c)+") {\n              dotProd +=\n                getX(batch, xR, xC, "+l+") *\n                getW(wR, wC, "+l+", d2);\n            } else if ("+(2===c)+") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if ("+(3===c)+") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, "+l+"),\n                getX(batch, xR, xC, "+l+" + 1),\n                getX(batch, xR, xC, "+l+" + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, "+l+", d2),\n                getW(wR, wC, "+l+" + 1, d2),\n                getW(wR, wC, "+l+" + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.strideHeight,o=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,f=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 strides = ivec2("+i+", "+o+");\n      const ivec2 pads = ivec2("+r+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+f+";\n        int q = d2 - d1 * "+f+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+s+";\n\n          if (xR < 0 || xR >= "+t+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+c+"; wC++) {\n            int xC = xCCorner + wC * "+u+";\n\n            if (xC < 0 || xC >= "+n+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new lr(t,"max",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new lr(t,"avg",!1),r=this.makeOutputArray(n.outputShape,"float32");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var a=new lr(r,"max",!0),i=this.compileAndRun(a,[t]),o=new function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=t*n-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+s+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+n+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(r),s=this.makeOutputArray(o.outputShape,t.dtype),u=this.compileAndRun(o,[e,i],s);return i.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n      const float avgMultiplier = float("+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "}(n),a=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],a)},e.prototype.cast=function(e,t){return Ot(e,t,this)},e.prototype.reshape=function(e,t){return kt(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(a-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "}(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],f=l[0]/c[0],p=l[1]/c[1],h=1/f,d=1/p,m=2*Math.ceil(h)+2,g=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+f+");\n        const float widthScale = float("+p+");\n\n        const float invHeightScale = float("+h+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "}(e,t,n);return this.compileAndRun(r,[e])},e.prototype.multinomial=function(e,t,n,r){var a=t?e:Ze(e),i=a.shape[0],o=a.shape[1],s=new sr(i,o,n),u=this.makeOutputArray(s.outputShape,"int32"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],u,l)},e.prototype.oneHot=function(e,t,n,r){var a=new function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "}(e.size,t,n,r);return this.compileAndRun(a,[e])},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return Ce("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Ct(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.cropAndResize=function(e,t,n,r,a,i){var o=new function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],f=n[1];this.outputShape=[l,c,f,u];var p="bilinear"===r?1:0,h=[o-1+".0",s-1+".0"],d=h[0],m=h[1],g=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+d+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+d],y=g[0],v=g[1],b=g[2],w=f>1?[""+(s-1)/(f-1),"(x2-x1) * width_ratio","x1*"+m+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+m],x=w[0],_=w[1],E=w[2];this.userCode="\n      const float height_ratio = float("+y+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+v+";\n        float width_scale = "+_+";\n\n        float in_y = "+b+";\n        if( in_y < 0.0 || in_y > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+m+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\n        if("+p+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\n\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n          float newValue = top + (bottom - top) * fracRC.x;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestRC = ivec2(floor(\n            sourceFracIndexRC + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\n          setOutput(newValue);\n        }\n      }\n    "}(e.shape,t.shape,r,a,i);return this.compileAndRun(o,[e,t,n])},e.prototype.depthToSpace=function(e,t,n){d(t>1,"blockSize should be > 1 for depthToSpace, but was: "+t);var r=e.shape[0],a=("NHWC"===n?e.shape[1]:e.shape[2])*t,i=("NHWC"===n?e.shape[2]:e.shape[3])*t,o=("NHWC"===n?e.shape[3]:e.shape[1])/(t*t),s=new Yt("NHWC"===n?[r,a,i,o]:[r,o,a,i],t,n);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,n){return At(e,t,n)},e.prototype.makeOutputArray=function(e,t){return Q.make(e,{},t)},e.prototype.compileAndRun=function(e,t,n,r,a){var i=this;if(void 0===a&&(a=!0),null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=I(n.dtype,0),n;var o=t.map(function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var t=i.texData.get(e.dataId);return null==t.texture&&b(e.shape)<=32?{shape:e.shape,texData:null,isUniform:!0,uniformValues:i.readSync(e.dataId)}:(i.uploadToGPU(e.dataId),{shape:e.shape,texData:t,isUniform:!1})});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=function(e,t,n){var r="";o.concat(n).forEach(function(e){r+=e.shape+"_"+(e.isUniform?"uniform":e.texData.texShape)});var a=e.userCode,i=(!0===e.supportsBroadcasting).toString();return e.constructor.name+"_"+i+"_"+r+"_"+a}(e,0,u),c=this.getAndSaveBinary(l,function(){return function(e,t,n,r){for(var a=t.userCode,i=n.map(function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.usage===Kt.PACK};return{name:t.variableNames[n],shapeInfo:r}}),o=i.map(function(e){return e.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.usage===Kt.PACK},u=Ft(i,s,a,!0===t.supportsBroadcasting),l=e.createProgram(u),c={},f=0;f<t.variableNames.length;f++){var p=t.variableNames[f];c[p]=e.getUniformLocation(l,p,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:o,outShapeInfo:s}}(i.gpgpu,e,o,u)}),f=null!=this.activeTimers;if(f&&(s=this.startTimer()),function(e,t,n,r){or(e.inShapeInfos,t),or([e.outShapeInfo],[n]);var a=n.texData.texture,i=n.texData.texShape,o=e.gpgpu;n.texData.usage===Kt.PACK?o.setOutputPackedMatrixTexture(a,i[0],i[1]):o.setOutputMatrixTexture(a,i[0],i[1]),o.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],a=e.uniformLocations[r];if(null!=a){if(t.isUniform){if(1===b(t.shape))o.gl.uniform1f(a,t.uniformValues[0]);else{var i=t.uniformValues;i instanceof Float32Array||(i=new Float32Array(i)),o.gl.uniform1fv(a,i)}return}var s=t.texData.texture;o.setInputMatrixTexture(s,a,n)}}),null!=r&&r(o,e.webGLProgram),o.executeProgram()}(c,o,u,r),a&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var p=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;p>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),d=this.texData.get(h),m=d.shape,g=d.dtype;p-=this.computeBytes(m,g),this.read(h)}return f&&(s=this.endTimer(s),this.activeTimers.push(this.getQueryTime(s))),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixelsCanvas&&this.fromPixelsCanvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return Ne(function(){return e.abs(rt(1e-8)).get()>0?32:16})},e.prototype.throwIfNoData=function(e){if(!this.texData.has(e))throw new Error("WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? 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got rank "+l.rank+"."),d(3===c.rank||1===c.rank,"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."),null!=o&&d(3===o.rank||1===o.rank,"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."),null!=s&&d(3===s.rank||1===s.rank,"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."),Ha(u,l,c,r,o,s)}}),Ga=Je({batchNormalization4d_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u=Xe(e,"x","batchNormalization"),l=Xe(t,"mean","batchNormalization"),c=Xe(n,"variance","batchNormalization");return null!=a&&(o=Xe(a,"scale","batchNormalization")),null!=i&&(s=Xe(i,"offset","batchNormalization")),d(4===u.rank,"Error in batchNormalization4D: x must be rank 4 but got rank "+u.rank+"."),d(4===l.rank||1===l.rank,"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."),d(4===c.rank||1===c.rank,"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."),null!=o&&d(4===o.rank||1===o.rank,"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."),null!=s&&d(4===s.rank||1===s.rank,"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."),Ha(u,l,c,r,o,s)}}),Ha=Je({batchNormalization_:function(e,t,n,r,a,i){void 0===r&&(r=.001);var o,s,u,l=Xe(e,"x","batchNormalization"),c=Xe(t,"mean","batchNormalization"),f=Xe(n,"variance","batchNormalization");return null!=a&&(o=Xe(a,"scale","batchNormalization")),null!=i&&(s=Xe(i,"offset","batchNormalization")),d(c.rank===f.rank,"Batch normalization gradient requires mean and variance to have equal ranks."),d(null==s||c.rank===s.rank,"Batch normalization gradient requires mean and offset to have equal ranks."),d(null==o||c.rank===o.rank,"Batch normalization gradient requires mean and scale to have equal ranks."),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l,me.engine.runKernel(function(e){return e.batchNormalization(u,Wa(c),Wa(f),r,Wa(o),Wa(s))},{$x:l,$mean:c,$variance:f,$scale:o,$offset:s},function(e){var t=null==o?rt(1):o,n=Rt(c.shape,u.shape),a=[];if(1===c.rank){for(var i=0;i<u.shape.length-1;++i)a.push(u.shape[i]);a.push(1)}var s=l.sub(c),p=e.mul(t),h=Ta(f.add(rt(r))),d=h.mul(h).mul(h).mul(rt(-.5));return{$x:function(){return 1===c.rank?e.mul(ia(h.as4D(1,1,1,c.shape[0]),a)).mul(t).reshape(l.shape):e.mul(h).mul(t).reshape(l.shape)},$mean:function(){var e=h.mul(rt(-1)).mul(p);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$variance:function(){var e=d.mul(s).mul(p);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$scale:function(){var t=s.mul(h),r=e.mul(t);return 1===c.rank&&(r=r.sum(n)),r.reshape(c.shape)},$offset:function(){var t=e;return 1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)}}}).reshape(l.shape)}});function Ka(e,t,n,r,a,i){void 0===i&&(i="channelsLast");var o,s=Ya(t),u=s[0],l=s[1];if("channelsLast"===i)o=[u,l,e[3],e[3]];else{if("channelsFirst"!==i)throw new Error("Unknown dataFormat "+i);o=[u,l,e[1],e[1]]}return Xa(e,o,n,1,r,a,!1,i)}function Xa(e,t,n,r,a,i,o,s){void 0===o&&(o=!1),void 0===s&&(s="channelsLast");var u=[-1,-1,-1,-1],l=u[0],c=u[1],f=u[2],p=u[3];if("channelsLast"===s)l=e[0],c=e[1],f=e[2],p=e[3];else{if("channelsFirst"!==s)throw new Error("Unknown dataFormat "+s);l=e[0],p=e[1],c=e[2],f=e[3]}var h,m=t[0],g=t[1],y=t[3],v=Ya(n),b=v[0],w=v[1],_=Ya(r),E=_[0],N=_[1],S=function(e,t,n,r,a,i,o,s){var u,l,c;if("number"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?"VALID":"NUMBER"};var f=function(e,t,n,r,a,i){null==a&&(a=function(e,t,n,r){void 0===r&&(r=1);var a=Ja(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}(e,t,r));var o=e[1],s=Za((e[0]-t+2*a)/r+1,i);d(x(s),"The output # of rows ("+s+") must be an integer. Change the stride and/or zero pad parameters");var u=Za((o-t+2*a)/r+1,i);return d(x(u),"The output # of columns ("+u+") must be an integer. 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e;switch(t){case"round":return Math.round(e);case"ceil":return Math.ceil(e);case"floor":return Math.floor(e);default:throw new Error("Unknown roundingMode "+t)}}var Qa=Je({matMul_:function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Xe(e,"a","matMul"),i=Xe(t,"b","matMul"),o=n?a.shape[a.rank-2]:a.shape[a.rank-1],s=r?i.shape[i.rank-1]:i.shape[i.rank-2],u=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],c=a.shape.slice(0,-2),f=i.shape.slice(0,-2),p=b(c),h=b(f);d(a.rank>=2&&i.rank>=2&&a.rank===i.rank,"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."),d(w(c,f),"Error in matMul: outer dimensions ("+c+") and ("+f+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."),d(o===s,"Error in matMul: inner shapes ("+o+") and ("+s+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match.");var m=a.shape.slice(0,-2).concat([u,l]),g=n?a.as3D(p,o,u):a.as3D(p,u,o),y=r?i.as3D(h,l,s):i.as3D(h,s,l);return me.engine.runKernel(function(e){return e.batchMatMul(g,y,n,r)},{$a:g,$b:y},function(e){return n||r?!n&&r?{$a:function(){return e.matMul(y.toFloat(),!1,!1)},$b:function(){return e.matMul(g.toFloat(),!0,!1)}}:n&&!r?{$a:function(){return y.toFloat().matMul(e,!1,!0)},$b:function(){return g.toFloat().matMul(e,!1,!1)}}:{$a:function(){return y.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(g.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(y.toFloat(),!1,!0)},$b:function(){return g.toFloat().matMul(e,!0,!1)}}}).reshape(m)}}),ei=Je({dot_:function(e,t){var n=Xe(e,"t1","dot"),r=Xe(t,"t2","dot");d(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+".");var a=1===n.rank?n.size:n.shape[1],i=1===r.rank?r.size:r.shape[0];return d(a===i,"Error in dot: inner dimensions of inputs must match, but got "+a+" and "+i+"."),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),ti=Je({outerProduct_:function(e,t){var n=Xe(e,"v1","outerProduct"),r=Xe(t,"v2","outerProduct");return d(1===n.rank&&1===r.rank,"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."),n.as2D(-1,1).matMul(r.as2D(1,-1))}});function ni(e,t,n,r,a,i){d(e.length===t.rank,"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match");var o=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),o=[1,e[0],e[1],e[2]]);var l=o[3],c=s.shape[3];d(4===o.length,"Error in conv2dDerInput: inShape must be length 4, but got length "+o.length+"."),d(4===s.rank,"Error in conv2dDerInput: dy must be rank 4, but got rank "+s.rank),d(4===n.rank,"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank),d(l===n.shape[2],"Error in conv2dDerInput: depth of input ("+l+") must match input depth for filter "+n.shape[2]+"."),d(c===n.shape[3],"Error in conv2dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[3]+"."),null!=i&&d(x(a),"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+".");var f=Xa(o,n.shape,r,1,a,i),p=me.engine.runKernel(function(e){return e.conv2dDerInput(s,n,f)},{dy4D:s});return u?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function ri(e){var t=function(e){return"number"==typeof e?[e,e]:e}(e),n=t[0],r=t[1];return 1===n&&1===r}function ai(e,t){return ri(e)||ri(t)}var ii=Je({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=Xe(e,"x","conv1d"),u=Xe(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),d(3===l.rank,"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."),d(3===u.rank,"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."),null!=o&&d(x(r),"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),d(l.shape[2]===u.shape[1],"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."),d(ai(n,i),"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"),d("NWC"===a,"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported.");var f=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),p=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=oi(p,f,[1,n],r,"NHWC",[1,i],o);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}}),oi=Je({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Xe(e,"x","conv2d"),u=Xe(t,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),d(4===l.rank,"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."),d(4===u.rank,"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."),null!=o&&d(x(r),"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."),d(l.shape[3]===u.shape[2],"Error in conv2d: depth of input ("+l.shape[3]+") must match input depth for filter "+u.shape[2]+"."),d(ai(n,i),"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),d("NHWC"===a,"Error in conv2d: got dataFormat of "+a+" but only NHWC is currently supported.");var f,p=Xa(l.shape,u.shape,n,i,r,o);if(1===p.filterHeight&&1===p.filterWidth&&1===p.dilationHeight&&1===p.dilationWidth&&1===p.strideHeight&&1===p.strideWidth&&"SAME"===p.padInfo.type){var h=l.reshape([-1,p.inChannels]),m=u.reshape([p.inChannels,p.outChannels]);f=Qa(h,m).reshape(p.outShape)}else f=me.engine.runKernel(function(e){return e.conv2d(l,u,p)},{x:l,$filter:u},function(e){return d(ri(i),"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '"+i+"'"),{x:function(){return ni(l.shape,e,u,n,r)},$filter:function(){return function(e,t,n,r,a,i){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),d(4===o.rank,"Error in conv2dDerFilter: input must be rank 4, but got shape "+o.shape+"."),d(4===s.rank,"Error in conv2dDerFilter: dy must be rank 4, but got shape "+s.shape+"."),d(4===n.length,"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."),d(o.shape[3]===n[2],"Error in conv2dDerFilter: depth of input "+o.shape[3]+") must match input depth in filter ("+n[2]+"."),d(s.shape[3]===n[3],"Error in conv2dDerFilter: depth of dy ("+s.shape[3]+") must match output depth for filter ("+n[3]+").");var u=Xa(o.shape,n,r,1,a,i);return me.engine.runKernel(function(e){return e.conv2dDerFilter(o,s,u)},{x4D:o,dy4D:s})}(l,e,u.shape,n,r)}}});return c?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}}),si=Je({depthwiseConv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Xe(e,"x","depthwiseConv2d"),u=Xe(t,"filter","depthwiseConv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),d(4===l.rank,"Error in depthwiseConv2d: input must be rank 4, but got rank "+l.rank+"."),d(4===u.rank,"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."),d(l.shape[3]===u.shape[2],"Error in depthwiseConv2d: number of input channels ("+l.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."),null==i&&(i=[1,1]),d(ai(n,i),"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"),null!=o&&d(x(r),"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+".");var f=Xa(l.shape,u.shape,n,i,r,o,!0),p=me.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,f)},{x:l,$filter:u},function(e){return d(ri(i),"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+i+"'"),{x:function(){return function(e,t,n,r){var a=t,i=!1;3===t.rank&&(i=!0,a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var o=me.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(a,n,r)},{dy4D:a});return i?o.as3D(o.shape[1],o.shape[2],o.shape[3]):o}(l.shape,e,u,f)},$filter:function(){return function(e,t,n,r){var a=e;3===e.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var i=t;return 3===i.rank&&(i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),me.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(a,i,r)},{x4D:a,dy4D:i})}(l,e,u.shape,f)}}});return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}}),ui=Je({separableConv2d_:function(e,t,n,r,a,i,o){void 0===i&&(i=[1,1]),void 0===o&&(o="NHWC");var s=Xe(e,"x","separableConv2d"),u=Xe(t,"depthwiseFilter","separableConv2d"),l=Xe(n,"pointwiseFilter","separableConv2d"),c=s,f=!1;if(3===s.rank&&(f=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===o)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");d(4===c.rank,"Error in separableConv2d: input must be rank 4, but got rank "+c.rank+"."),d(4===u.rank,"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."),d(4===l.rank,"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."),d(1===l.shape[0],"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+l.shape[0]+"."),d(1===l.shape[1],"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got "+l.shape[1]+".");var p=u.shape[2],h=u.shape[3];d(l.shape[2]===p*h,"Error in separableConv2d: the third dimension of pointwise filter must be "+p*h+", but got "+l.shape[2]+".");var m=si(c,u,r,a,o,i),g=oi(m,l,1,"valid",o);return f?g.as3D(g.shape[1],g.shape[2],g.shape[3]):g}}),li=Je({conv2dTranspose_:function(e,t,n,r,a,i){return ni(n,Xe(e,"x","conv2dTranspose"),Xe(t,"filter","conv2dTranspose"),r,a,i)}}),ci=Je({reverse_:function(e,t){var n=Xe(e,"x","reverse");if(0===n.rank)return n.clone();var r=Be(t,n.shape);return me.engine.runKernel(function(e){return e.reverse(n,r)},{$x:n},function(e){return{$x:function(){return e.reverse(r)}}}).reshapeAs(n)}}),fi=Je({reverse1d_:function(e){var t=Xe(e,"x","reverse");return d(1===t.rank,"Error in reverse1D: x must be rank 1 but got\n             rank "+t.rank+"."),ci(t,0)}}),pi=Je({reverse2d_:function(e,t){var n=Xe(e,"x","reverse");return d(2===n.rank,"Error in reverse2D: x must be rank 2 but got\n             rank "+n.rank+"."),ci(n,t)}}),hi=Je({reverse3d_:function(e,t){var n=Xe(e,"x","reverse");return d(3===n.rank,"Error in reverse3D: x must be rank 3 but got\n             rank "+n.rank+"."),ci(n,t)}}),di=Je({reverse4d_:function(e,t){var n=Xe(e,"x","reverse");return d(4===n.rank,"Error in reverse4D: x must be rank 4 but got\n             rank 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c=l*o,f=0,p=0;p<o;++p)f+=u[c+p];s[l]=f}return i},e.prototype.unsortedSegmentSum=function(e,t,n){this.assertNotComplex(e,"unsortedSegmentSum");for(var r=[],a=e.rank-t.rank,i=0;i<a;++i)t=t.expandDims(i+1);for(i=0;i<n;++i){var o=rt(i,"int32"),s=Mi(o,t).asType("float32").mul(e).sum(0);r.push(s)}return aa(r)},e.prototype.argMin=function(e,t){this.assertNotComplex(e,"argMin");var n=[t];ze("argMin",n,e.rank);for(var r=je(e.shape,n),a=r[0],i=r[1],o=ft(a,"int32"),s=b(i),u=o.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var f=c*s,p=l[f],h=0,d=0;d<s;++d){var m=l[f+d];m<p&&(p=m,h=d)}u[c]=h}return o},e.prototype.argMax=function(e,t){this.assertNotComplex(e,"argMax");var n=[t];ze("argMax",n,e.rank);for(var r=je(e.shape,n),a=r[0],i=r[1],o=ft(a,"int32"),s=b(i),u=o.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var f=c*s,p=l[f],h=0,d=0;d<s;++d){var m=l[f+d];m>p&&(p=m,h=d)}u[c]=h}return o},e.prototype.cumsum=function(e,t,n,r){if(this.assertNotComplex(e,"cumsum"),t!==e.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(e.rank-1)+" but got axis="+t);for(var a=Nt(e.dtype,"int32"),i=ft(e.shape,a),o=i.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=r?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var f=0;f<u;f++){var p=l(c,f);if(0===f)o[p]=n?0:s[p];else{var h=l(c,f-1);o[p]=n?s[h]+o[h]:s[p]+o[h]}}return i},e.prototype.equal=function(e,t){return this.assertNotComplex([e,t],"equal"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.assertNotComplex([e,t],"notEqual"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.assertNotComplex([e,t],"less"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.assertNotComplex([e,t],"lessEqual"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.assertNotComplex([e,t],"greater"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.assertNotComplex([e,t],"greaterEqual"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){this.assertNotComplex(e,"logicalNot");for(var t=e.dataSync(),n=new Int32Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return Q.make(e.shape,{values:n},"bool")},e.prototype.logicalAnd=function(e,t){return this.assertNotComplex([e,t],"logicalAnd"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.assertNotComplex([e,t],"logicalOr"),this.broadcastedBinaryOp(e,t,"bool",function(e,t){return e||t})},e.prototype.select=function(e,t,n){this.assertNotComplex([e,t,n],"select");for(var r=e.dataSync(),a=t.dataSync(),i=n.dataSync(),o=ft(t.shape,Nt(t.dtype,n.dtype)),s=o.dataSync(),u=0,l=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],c=0;c<r.length;c++)for(var f=0;f<l;f++)1===r[c]?s[u++]=a[c]:s[u++]=i[c];return o},e.prototype.where=function(e){this.assertNotComplex([e],"where");var t=e.dataSync();return ua(e.shape,t)},e.prototype.topk=function(e,t,n){return this.assertNotComplex(e,"topk"),Tt(e.dataSync(),e.shape,e.dtype,t)},e.prototype.min=function(e,t){this.assertNotComplex(e,"min"),ze("min",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];h<f&&(f=h)}s[l]=f}return i},e.prototype.minimum=function(e,t){return this.assertNotComplex([e,t],"minimum"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.assertNotComplex([e,t],"mod"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})},e.prototype.max=function(e,t){this.assertNotComplex(e,"max"),ze("max",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];h>f&&(f=h)}s[l]=f}return i},e.prototype.maximum=function(e,t){return this.assertNotComplex([e,t],"maximum"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){this.assertNotComplex(e,"all"),ze("all",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];f=f&&h}s[l]=f}return i},e.prototype.any=function(e,t){this.assertNotComplex(e,"any"),ze("any",t,e.rank);for(var n=je(e.shape,t),r=n[0],a=n[1],i=ft(r,e.dtype),o=b(a),s=i.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*o,f=u[c],p=0;p<o;++p){var h=u[c+p];f=f||h}s[l]=f}return i},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],"squaredDifference"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){this.assertNotComplex(e,"ceil");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return Q.make(e.shape,{values:n})},e.prototype.floor=function(e){this.assertNotComplex(e,"floor");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return Q.make(e.shape,{values:n})},e.prototype.sign=function(e){this.assertNotComplex(e,"x");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return Q.make(e.shape,{values:n})},e.prototype.round=function(e){this.assertNotComplex(e,"round");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=Math.floor(t[r]);t[r]-a<.5?n[r]=Math.floor(t[r]):t[r]-a>.5?n[r]=Math.ceil(t[r]):n[r]=a%2==0?a:a+1}return Q.make(e.shape,{values:n})},e.prototype.exp=function(e){this.assertNotComplex(e,"exp");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return Q.make(e.shape,{values:n})},e.prototype.expm1=function(e){this.assertNotComplex(e,"expm1");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return Q.make(e.shape,{values:n})},e.prototype.log=function(e){this.assertNotComplex(e,"log");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log(a)}return Q.make(e.shape,{values:n})},e.prototype.log1p=function(e){this.assertNotComplex(e,"log1p");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log1p(a)}return Q.make(e.shape,{values:n})},e.prototype.sqrt=function(e){this.assertNotComplex(e,"sqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.sqrt(a)}return Q.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,"rsqrt");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=1/Math.sqrt(a)}return Q.make(e.shape,{values:n})},e.prototype.square=function(e){this.assertNotComplex(e,"square");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=a*a}return Q.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,"reciprocal");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return Q.make(e.shape,{values:n})},e.prototype.relu=function(e){this.assertNotComplex(e,"relu");for(var t=ft(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,"elu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?a:Math.exp(a)-1}return Q.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],"eluDer");for(var n=new Float32Array(t.size),r=t.dataSync(),a=e.dataSync(),i=0;i<r.length;++i){var o=r[i];n[i]=o>=1?a[i]:a[i]*(o+1)}return Q.make(t.shape,{values:n})},e.prototype.selu=function(e){this.assertNotComplex(e,"selu");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?1.0507009873554805*a:1.7580993408473768*(Math.exp(a)-1)}return Q.make(e.shape,{values:t})},e.prototype.clip=function(e,t,n){this.assertNotComplex(e,"clip");for(var r=new Float32Array(e.size),a=e.dataSync(),i=0;i<a.length;++i){var o=a[i];r[i]=o>n?n:o<t?t:o}return Q.make(e.shape,{values:r})},e.prototype.abs=function(e){this.assertNotComplex(e,"abs");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return Q.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,"int");for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return Q.make(e.shape,{values:t},"int32")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,"sigmoid");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return Q.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,"softplus");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i,o=r[a]>-t,s=r[a]<t,u=Math.exp(r[a]);i=s?u:o?r[a]:Math.log(1+u),n[a]=i}return Q.make(e.shape,{values:n})},e.prototype.sin=function(e){this.assertNotComplex(e,"sin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return Q.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,"cos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return Q.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,"tan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return Q.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,"asin");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return Q.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,"acos");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return Q.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,"atan");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return Q.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],"atan2"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,"sinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,"cosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,"tanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=_(n[r]);return Q.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,"asinh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,"acosh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,"atanh");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return Q.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,"erf");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r],i=1/(1+.3275911*a);t[r]=1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a)}return Q.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,"step");for(var n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var i=r[a];isNaN(i)?n[a]=NaN:n[a]=i>0?1:t}return Q.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){this.assertNotComplex([e,t],"conv2d");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=Dr(n.outShape,e.dtype),c=e.dataSync(),f=t.dataSync(),p=l.values,h=0;h<n.batchSize;++h)for(var d=h*e.strides[0],m=h*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],v=g*n.strideHeight-s,b=0;b<r;b++){var w=v+b*i;if(!(w<0||w>=n.inHeight))for(var x=b*t.strides[0],_=d+w*e.strides[1],E=0;E<n.outWidth;++E)for(var N=y+E*n.outChannels,S=E*n.strideWidth-u,O=0;O<a;O++){var k=S+O*o;if(!(k<0||k>=n.inWidth))for(var I=x+O*t.strides[1],C=_+k*n.inChannels,P=I,A=0;A<n.inChannels;++A){for(var T=c[C+A],M=0;M<n.outChannels;++M)p[N+M]+=T*f[P+M];P+=n.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerInput");for(var r=Dr(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=0;T<b;++T)for(var M=0;M<_;++M)for(var R=0;R<E;++R)for(var D=R-P,j=Math.max(0,Math.ceil(D/I)),L=Math.min(O,(w+D)/I),B=0;B<N;++B){for(var z=B-A,F=Math.max(0,Math.ceil(z/C)),V=Math.min(k,(x+z)/C),U=0,W=j;W<L;++W)for(var q=W*I-D,$=F;$<V;++$)for(var G=f*T+p*W+h*$,H=g*(w-1-q)+y*(x-1-($*C-z))+v*M,K=0;K<S;++K)U+=l[G+K]*d[H+K];a[o*T+s*R+u*B+M]=U}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){this.assertNotComplex([e,t],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=Dr(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<i;++c)for(var f=Math.max(0,Math.ceil((l-c)/r)),p=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<o;++h)for(var d=Math.max(0,Math.ceil((u-h)/a)),m=Math.min(n.outWidth,(n.inWidth+u-h)/a),g=0;g<n.inChannels;++g)for(var y=0;y<n.outChannels;++y){for(var v=0,b=0;b<n.batchSize;++b)for(var w=f;w<p;++w)for(var x=c+w*r-l,_=d;_<m;++_){var E=h+_*a-u;v+=e.get(b,x,E,g)*t.get(b,w,_,y)}s.set(v,c,h,g,y)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=Dr(n.outShape,e.dtype),f=e.dataSync(),p=t.dataSync(),h=c.values,d=0;d<n.batchSize;++d)for(var m=d*e.strides[0],g=d*c.strides[0],y=0;y<n.outHeight;++y)for(var v=g+y*c.strides[1],b=y*n.strideHeight-s,w=0;w<r;++w){var x=b+w*i;if(!(x<0||x>=n.inHeight))for(var _=w*t.strides[0],E=m+x*e.strides[1],N=0;N<n.outWidth;++N)for(var S=v+N*c.strides[2],O=N*n.strideWidth-u,k=0;k<a;++k){var I=O+k*o;if(!(I<0||I>=n.inWidth))for(var C=_+k*t.strides[1],P=E+I*n.inChannels,A=S,T=C,M=0;M<n.inChannels;++M){for(var R=f[P+M],D=0;D<l;++D)h[A+D]+=R*p[T+D];A+=l,T+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerInput");for(var r=Dr(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=e.dataSync(),c=e.strides,f=c[0],p=c[1],h=c[2],d=t.dataSync(),m=t.strides,g=m[0],y=m[1],v=m[2],b=n.batchSize,w=n.filterHeight,x=n.filterWidth,_=n.inChannels,E=n.inHeight,N=n.inWidth,S=n.outChannels,O=n.outHeight,k=n.outWidth,I=n.strideHeight,C=n.strideWidth,P=w-1-n.padInfo.top,A=x-1-n.padInfo.left,T=S/_,M=0;M<b;++M)for(var R=0;R<_;++R)for(var D=0;D<E;++D)for(var j=D-P,L=Math.max(0,Math.ceil(j/I)),B=Math.min(O,(w+j)/I),z=0;z<N;++z){for(var F=z-A,V=Math.max(0,Math.ceil(F/C)),U=Math.min(k,(x+F)/C),W=0,q=L;q<B;++q)for(var $=q*I-j,G=V;G<U;++G)for(var H=f*M+p*q+h*G,K=g*(w-1-$)+y*(x-1-(G*C-F))+v*R,X=0;X<T;++X)W+=l[H+(R*T+X)]*d[K+X];a[o*M+s*D+u*z+R]=W}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){this.assertNotComplex([e,t],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=Dr(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,f=0;f<i;++f)for(var p=Math.max(0,Math.ceil((l-f)/r)),h=Math.min(n.outHeight,(n.inHeight+l-f)/r),d=0;d<o;++d)for(var m=Math.max(0,Math.ceil((u-d)/a)),g=Math.min(n.outWidth,(n.inWidth+u-d)/a),y=0;y<n.outChannels;++y){for(var v=Math.trunc(y/c),b=y%c,w=0,x=0;x<n.batchSize;++x)for(var _=p;_<h;++_)for(var E=f+_*r-l,N=m;N<g;++N){var S=d+N*a-u;w+=e.get(x,E,S,v)*t.get(x,_,N,y)}s.set(w,f,d,v,b)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,"tile");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var a=Dr(n,e.dtype),i=e.buffer();for(r=0;r<a.values.length;++r){for(var o=a.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=o[u]%e.shape[u];var l=i.locToIndex(s);a.values[r]=i.values[l]}return a.toTensor()},e.prototype.pad=function(e,t,n){this.assertNotComplex(e,"pad");var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),a=t.map(function(e){return e[0]}),i=e.buffer(),o=Dr(r,e.dtype);0!==n&&o.values.fill(n);for(var s=0;s<e.size;s++){var u=i.indexToLoc(s),l=u.map(function(e,t){return e+a[t]});o.set.apply(o,[e.get.apply(e,u)].concat(l))}return o.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,"transpose");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var a=e.dataSync(),i=Dr(n,e.dtype),o=e.buffer();for(r=0;r<e.size;++r){for(var s=o.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=i.locToIndex(u);i.values[c]=a[r]}return i.toTensor()},e.prototype.gather=function(e,t,n){this.assertNotComplex([e,t],"gather");var r=e.shape.slice(),a=t.dataSync();r[n]=a.length;for(var i=Dr(r,e.dtype),o=e.buffer(),s=0;s<i.size;++s){var u=i.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=o.locToIndex(l);i.values[s]=o.values[c]}return i.toTensor()},e.prototype.batchToSpaceND=function(e,t,n){this.assertNotComplex([e],"batchToSpaceND");var r=t.reduce(function(e,t){return e*t}),a=Pe(e.shape,t,r),i=Ae(a.length,t.length),o=Te(e.shape,t,r),s=Me(n,t.length),u=Re(o,n,t.length);return e.reshape(a).transpose(i).reshape(o).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){this.assertNotComplex([e],"spaceToBatchND");var r=t.reduce(function(e,t){return e*t}),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=Pe(o.shape,t,r,!1),u=Ae(s.length,t.length,!1),l=Te(o.shape,t,r,!1);return o.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,n){this.assertNotComplex(e,"pool");for(var r=t.strideHeight,a=t.strideWidth,i=t.filterHeight,o=t.filterWidth,s=Dr(t.outShape,"float32"),u=t.padInfo.top,l=t.padInfo.left,c="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,f=0;f<t.batchSize;++f)for(var p=0;p<t.inChannels;++p)for(var h=0;h<t.outHeight;++h)for(var d=h*r-u,m=Math.max(0,d),g=Math.min(t.inHeight,i+d),y=0;y<t.outWidth;++y){for(var v=y*a-l,b=Math.max(0,v),w=Math.min(t.inWidth,o+v),x=c,_=0,E=0,N=m;N<g;++N){for(var S=b;S<w;++S){var O=e.get(f,N,S,p);"max"===n&&O>x?x=O:"avg"===n&&(_+=O,E++)}if(isNaN(x))break}s.set("avg"===n?_/E:x,f,h,y,p)}return s.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,"max")},e.prototype.maxPoolPositions=function(e,t){for(var n=Dr(t.outShape,"int32"),r=t.strideHeight,a=t.strideWidth,i=t.filterHeight,o=t.filterWidth,s=t.padInfo.top,u=t.padInfo.left,l=0;l<t.batchSize;++l)for(var c=0;c<t.inChannels;++c)for(var f=0;f<t.outHeight;++f)for(var p=f*r-s,h=Math.max(0,p),d=Math.min(t.inHeight,i+p),m=0;m<t.outWidth;++m){for(var g=m*a-u,y=Math.max(0,g),v=Math.min(t.inWidth,o+g),b=Number.NEGATIVE_INFINITY,w=-1,x=h;x<d;++x)for(var _=x-p,E=y;E<v;++E){var N=E-g,S=e.get(l,x,E,c);S>b&&(b=S,w=_*o+N)}n.set(w,l,f,m,c)}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){this.assertNotComplex([t,n],"maxPoolBackprop");for(var a=this.maxPoolPositions(t,r),i=r.strideHeight,o=r.strideWidth,s=r.filterHeight,u=r.filterWidth,l=u-1-r.padInfo.left,c=s-1-r.padInfo.top,f=Dr(t.shape,"float32"),p=0;p<r.batchSize;++p)for(var h=0;h<r.inChannels;++h)for(var d=0;d<r.inHeight;++d)for(var m=0;m<r.inWidth;++m){for(var g=d-c,y=m-l,v=0,b=0;b<s;++b){var w=(g+b)/i;if(!(w<0||w>=r.outHeight||Math.floor(w)!==w))for(var x=0;x<u;++x){var _=(y+x)/o;if(!(_<0||_>=r.outWidth||Math.floor(_)!==_)){var E=s*u-1-a.get(p,w,_,h)===b*u+x?1:0;0!==E&&(v+=e.get(p,w,_,h)*E)}}}f.set(v,p,d,m,h)}return f.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){this.assertNotComplex([e,t],"avgPoolBackprop");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=o-1-n.padInfo.left,u=i-1-n.padInfo.top,l=Dr(t.shape,"float32"),c=1/(i*o),f=0;f<n.batchSize;++f)for(var p=0;p<n.inChannels;++p)for(var h=0;h<n.inHeight;++h)for(var d=0;d<n.inWidth;++d){for(var m=h-u,g=d-s,y=0,v=0;v<i;++v){var b=(m+v)/r;if(!(b<0||b>=n.outHeight||Math.floor(b)!==b))for(var w=0;w<o;++w){var x=(g+w)/a;x<0||x>=n.outWidth||Math.floor(x)!==x||(y+=e.get(f,b,x,p))}}l.set(y*c,f,h,d,p)}return l.toTensor()},e.prototype.cast=function(e,t){return Ot(e,t,this)},e.prototype.reshape=function(e,t){return kt(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,"avgPool"),this.pool(e,t,"avg").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){this.assertNotComplex(e,"resizeBilinear");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=Dr([i,t,n,u],e.dtype),c=[r&&t>1?o-1:o,r&&n>1?s-1:s],f=[r&&t>1?t-1:t,r&&n>1?n-1:n],p=0;p<i;p++)for(var h=0;h<t;h++)for(var d=0;d<n;d++)for(var m=0;m<u;m++){var g=c[0]*h/f[0],y=c[1]*d/f[1],v=Math.floor(g),b=Math.min(o-1,Math.ceil(g)),w=Math.floor(y),x=Math.min(s-1,Math.ceil(y)),_=e.get(p,v,w,m),E=e.get(p,b,w,m),N=y-w,S=_+(e.get(p,v,x,m)-_)*N,O=S+(E+(e.get(p,b,x,m)-E)*N-S)*(g-v);l.set(O,p,h,d,m)}return l.toTensor()},e.prototype.resizeBilinearBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeBilinearBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=Dr([a,i,o,s],t.dtype),p=[n&&l>1?i-1:i,n&&c>1?o-1:o],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=p[0]/h[0],m=p[1]/h[1],g=0;g<a;g++)for(var y=0;y<l;y++)for(var v=y*d,b=Math.floor(v),w=Math.min(Math.ceil(v),i-1),x=v-b,_=1-x,E=0;E<c;E++)for(var N=E*m,S=Math.floor(N),O=Math.min(Math.ceil(N),o-1),k=N-S,I=1-k,C=0;C<s;C++){var P=e.get(g,y,E,C),A=f.get(g,b,S,C);A+=P*_*I,f.set(A,g,b,S,C);var T=f.get(g,b,O,C);T+=P*_*k,f.set(T,g,b,O,C);var M=f.get(g,w,S,C);M+=P*x*I,f.set(M,g,w,S,C);var R=f.get(g,w,O,C);R+=P*x*k,f.set(R,g,w,O,C)}return f.toTensor()},e.prototype.resizeNearestNeighbor=function(e,t,n,r){this.assertNotComplex(e,"resizeNearestNeighbor");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=Dr([i,t,n,u],e.dtype),c=[r&&t>1?o-1:o,r&&n>1?s-1:s],f=[r&&t>1?t-1:t,r&&n>1?n-1:n],p=0;p<i;p++)for(var h=0;h<t;h++)for(var d=0;d<n;d++)for(var m=0;m<u;m++){var g=c[0]*h/f[0],y=c[1]*d/f[1],v=Math.min(o-1,r?Math.round(g):Math.floor(g)),b=Math.min(s-1,r?Math.round(y):Math.floor(y)),w=e.get(p,v,b,m);l.set(w,p,h,d,m)}return l.toTensor()},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){this.assertNotComplex([e,t],"resizeNearestNeighborBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],f=Dr([a,i,o,s],t.dtype),p=[n&&l>1?i-1:i,n&&c>1?o-1:o],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=1/(p[0]/h[0]),m=1/(p[1]/h[1]),g=2*Math.ceil(d)+2,y=2*Math.ceil(m)+2,v=0;v<a;v++)for(var b=0;b<i;b++)for(var w=0;w<o;w++)for(var x=Math.floor(b*d),_=Math.floor(x-g/2),E=Math.floor(w*m),N=Math.floor(E-y/2),S=0;S<s;S++){for(var O=0,k=0;k<g;k++){var I=k+_;if(!(I<0||I>=l))for(var C=0;C<y;C++){var P=C+N;if(!(P<0||P>=c)){var A=p[0]*(I/h[0]),T=p[1]*(P/h[1]),M=Math.min(i-1,n?Math.round(A):Math.floor(A)),R=Math.min(o-1,n?Math.round(T):Math.floor(T));b===M&&w===R&&(O+=e.get(v,I,P,S))}}}f.set(O,v,b,w,S)}return f.toTensor()},e.prototype.batchNormalization=function(e,t,n,r,a,i){this.assertNotComplex([e,t,n,a,i],"batchNormalization");for(var o=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=a?a.dataSync():new Float32Array([1]),c=i?i.dataSync():new Float32Array([0]),f=new Float32Array(o.length),p=c.length,h=l.length,d=u.length,m=s.length,g=0,y=0,v=0,b=0,w=0;w<o.length;++w)f[w]=c[g++]+(o[w]-s[y++])*l[v++]/Math.sqrt(u[b++]+r),g>=p&&(g=0),y>=m&&(y=0),v>=h&&(v=0),b>=d&&(b=0);return st(f,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){this.assertNotComplex(e,"localResponseNormalization4D");var i=e.shape[3],o=i-1,s=e.dataSync(),u=b(e.shape),l=new Float32Array(u);function c(e){for(var n=e%i,r=e-n+Math.max(0,n-t),a=e-n+Math.min(n+t,o),u=0;r<=a;r++){var l=s[r];u+=l*l}return u}for(var f=0;f<u;f++){var p=c(f),h=s[f]*Math.pow(n+r*p,-a);l[f]=h}return st(l,e.shape)},e.prototype.LRNGrad=function(e,t,n,r,a,i,o){this.assertNotComplex(e,"LRNGrad");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=n.dataSync(),f=new Float32Array(b(e.shape)),p=b(e.shape),h=0;h<p;h++){for(var d=h%s,m=h-d+Math.max(0,d-r),g=h-d+Math.min(s,d+r+1),y=0,v=m;v<g;v++)y+=Math.pow(l[v],2);for(y=i*y+a,v=m;v<g;v++){var w=-2*i*o*l[v]*c[h]/y;h===v&&(w+=Math.pow(y,-o)),w*=u[h],f[v]+=w}}return st(f,e.shape)},e.prototype.multinomial=function(e,t,n,r){this.assertNotComplex(e,"multinomial");for(var a=t?e:Ze(e),i=a.shape[0],o=a.shape[1],s=ft([i,n],"int32"),u=s.dataSync(),l=a.dataSync(),c=0;c<i;++c){var f=c*o,p=new Float32Array(o-1);p[0]=l[f];for(var h=1;h<p.length;++h)p[h]=p[h-1]+l[f+h];for(var d=Tr(r.toString()),m=c*n,g=0;g<n;++g){var y=d();u[m+g]=p.length;for(var v=0;v<p.length;v++)if(y<p[v]){u[m+g]=v;break}}}return s},e.prototype.oneHot=function(e,t,n,r){this.assertNotComplex(e,"oneHot");var a=new Float32Array(e.size*t);a.fill(r);for(var i=0;i<e.size;++i)e.get(i)>=0&&e.get(i)<t&&(a[i*t+e.get(i)]=n);return it(a,[e.size,t],"int32")},e.prototype.nonMaxSuppression=function(e,t,n,r,a){return this.assertNotComplex(e,"nonMaxSuppression"),Ct(e.dataSync(),t.dataSync(),n,r,a)},e.prototype.depthToSpace=function(e,t,n){d("NHWC"===n,"Only NHWC dataFormat supported on CPU for depthToSpace. 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Input received: "+e);for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+i);if(null!=a.minNDim&&i<a.minNDim)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+i+".");if(null!=a.dtype&&r.dtype!==a.dtype)throw new w("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+r.dtype+".");if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),l=a.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new w("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=a.shape)for(var f=0;f<a.shape.length;++f){var p=a.shape[f],h=r.shape[f];if(null!=p&&null!=h&&p!==h)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.shape+", found shape=${xShape}.")}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r=k(e),a=!0,i=0,o=r;i<o.length;i++)if(!(o[i]instanceof ot)){a=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof ot){s=!1;break}if(a===s)throw new w("Arguments to apply() must be all SymbolicTensors or all Tensors");return re(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var a=[],i=0,o=k(e);i<o.length;i++){var u=o[i];a.push(u.shape)}n.build(O(a)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(e),s){for(var l=[],c=0,f=k(m=n.call(e,t));c<f.length;c++){var p=f[c];-1!==r.indexOf(p)&&(p=p.clone()),l.push(p)}if(m=O(l),null!=n.activityRegularizer)throw new x("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var h=function(e){for(var t=[],n=0,r=e=k(e);n<r.length;n++){var a=r[n];t.push(a.shape)}return O(t)}(e),d=n.computeOutputShape(h),m=void 0,g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?h[0]:h),m=null!=d&&d.length>0&&Array.isArray(d[0])?d.map(function(r,a){return new ot(g,r,n,k(e),t,n.name,a)}):new ot(g,d,n,k(e),t,n.name),n.addInboundNode(e,m,null,null,h,d,t),n._refCount++,null!=n.activityRegularizer)throw new x("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},t.prototype.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(e)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var t=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)}),t&&console.warn("The shape of the input tensor ("+JSON.stringify(e)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(t.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new v("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],a=JSON.stringify(r.outputShapes);-1===e.indexOf(a)&&e.push(a)}if(1===e.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new v("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new b("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return et(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),rt(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;Object(r.od)(function(){var n=t.weights;if(n.length!==e.length)throw new w('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. 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4:return[2]}})})},e.prototype.onBatchEnd=function(e,t){return s(this,void 0,void 0,function(){var n,r;return u(this,function(a){switch(a.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onTrainBegin=function(e){return s(this,void 0,void 0,function(){var t,n;return u(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e.prototype.onTrainEnd=function(e){return s(this,void 0,void 0,function(){var t,n;return u(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainEnd(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e}(),gt=function(){function e(e){this.yieldEvery=e,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=r.yd.now()}return e.prototype.resolveOneTensorInLogs=function(e){return s(this,void 0,void 0,function(){var t,n,r,a,i;return u(this,function(o){switch(o.label){case 0:for(n in t=[],e)t.push(n);r=0,o.label=1;case 1:return r<t.length?(a=t[r],"number"==typeof(i=e[a])?[3,3]:[4,i.data()]):[3,4];case 2:return o.sent(),[3,4];case 3:return r++,[3,1];case 4:return[2]}})})},e.prototype.maybeYieldOnBatch=function(t){return s(this,void 0,void 0,function(){var n,a;return u(this,function(i){switch(i.label){case 0:return"auto"!==this.yieldEvery?[3,7]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,3]:[4,this.resolveOneTensorInLogs(t)]);case 1:return i.sent(),n=r.yd.now(),[4,Object(r.Tb)()];case 2:return i.sent(),this.batchCount>e.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(n-this.batchStartMillis),this.batchDurationsMillis.length>=e.DECISION_BATCH_COUNT&&(a=this.batchDurationsMillis.reduce(function(e,t){return e+t})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(e.THRESHOLD_MILLIS/a),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=r.yd.now(),this.lastYieldBatchCount=this.batchCount,[3,6];case 3:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,Object(r.Tb)()]:[3,6];case 4:return i.sent(),[4,this.resolveOneTensorInLogs(t)];case 5:i.sent(),this.lastYieldBatchCount=this.batchCount,i.label=6;case 6:return[3,9];case 7:return"batch"!==this.yieldEvery?[3,9]:[4,Object(r.Tb)()];case 8:i.sent(),i.label=9;case 9:return[2]}})})},e.prototype.maybeYieldOnEpoch=function(){return s(this,void 0,void 0,function(){return u(this,function(e){switch(e.label){case 0:return"epoch"!==this.yieldEvery?[3,2]:[4,Object(r.Tb)()];case 1:e.sent(),e.label=2;case 2:return[2]}})})},e.SKIP_FIRST_BATCHES=1,e.DECISION_BATCH_COUNT=2,e.THRESHOLD_MILLIS=16,e}(),yt=function(e){function t(t){var n=e.call(this)||this;return n.yieldEvery=t||"auto",n}return i(t,e),t.prototype.onTrainBegin=function(e){return s(this,void 0,void 0,function(){return u(this,function(e){return this.autoYielder=new gt(this.yieldEvery),[2]})})},t.prototype.onEpochBegin=function(e){return s(this,void 0,void 0,function(){return u(this,function(e){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,t){return s(this,void 0,void 0,function(){var e,n,a,i,o=this;return u(this,function(s){switch(s.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(t)];case 1:for(i in s.sent(),null==t&&(t={}),e=null==t.size?0:t.size,this.seen+=e,n=function(n){var i=t[n];if("number"==typeof i)a.totals.hasOwnProperty(n)||(a.totals[n]=0),a.totals[n]=a.totals[n]+i*e;else{var s=void 0;n in 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Use Model.compile(modelCompileConfig).");for(var i=[],o=0;o<this.feedOutputShapes.length;++o){var s=this.feedOutputShapes[o];this.feedLossFns[o]===At?i.push(s.slice(0,s.length-1).concat([1])):i.push(s)}if(function(e,t,n){var a=R(e.map(function(e){return e.shape[0]}));a.sort();var i=R(t.map(function(e){return e.shape[0]}));if(i.sort(),a.length>1)throw new w("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new w("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(e){return e.shape})));if(a.length>0&&i.length>0&&!r.yd.arraysEqual(a,i))throw new w("Input Tensors should have the same number of samples as target Tensors. 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'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var f=u[c],p=l[c];if(null!=p&&f!==p)throw new w("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=a&&a>0&&e[0].shape[0]%a!=0)throw new w("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+a+". Found: "+e[0].shape[0]+" sample(s).");return[e,t,null]},t.prototype.fitLoop=function(e,t,n,a,i,o,l,c,f,p,h,d,m,g,y){return s(this,void 0,void 0,function(){var s,v,b,_,E,N,S,O,k=this;return u(this,function(I){switch(I.label){case 0:if(null==a&&(a=32),null==i&&(i=1),null==p&&(p=!0),null==d&&(d=0),s=!1,null!=c&&null!=f&&(s=!0),null!=g&&(s=!0,null==m))throw new w("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return null!=(v=this.checkNumSamples(t,a,m,"steps_per_epoch"))&&(b=he(0,v)),null==o&&(o=1),this.history=new vt,_=[new yt(y)].concat(wt.createCallbacks(o)),null!=l&&_.push.apply(_,l),_.push(this.history),(E=new mt(_)).setModel(this),E.setParams({epochs:i,initialEpoch:d,samples:v,steps:m,batchSize:a,verbose:o,doValidation:s,metrics:h}),[4,E.onTrainBegin()];case 1:I.sent(),this.stopTraining_=!1,N=function(i){var o,l,h,d,g;return u(this,function(y){switch(y.label){case 0:return[4,E.onEpochBegin(i)];case 1:if(y.sent(),o={},null==m)return[3,2];throw new x("stepsPerEpoch mode is not implemented yet.");case 2:if("batch"===p)throw new x("batch shuffling is not implemneted yet");p&&r.yd.shuffle(b),l=Object(r.hd)(b),h=dn(v,a),d=function(i){var p;return u(this,function(u){switch(u.label){case 0:return p={},[4,E.onBatchBegin(i,p)];case 1:return u.sent(),Object(r.od)(function(){var u=h[i][0],d=h[i][1],m=ge(l,u,d-u);p.batch=i,p.size=d-u;for(var g=gn(t,m),y=e(g),v=0;v<n.length;++v){var b=n[v],w=y[v];p[b]=w,Object(r.ib)(w)}if(i===h.length-1&&s){var x=k.testLoop(c,f,a);for(v=0;v<n.length;++v)b=n[v],w=x[v],Object(r.ib)(w),o["val_"+b]=w}}),[4,E.onBatchEnd(i,p)];case 2:return u.sent(),function(e){if(null!=e)for(var t in e){var n=e[t];"number"!=typeof n&&n.dispose()}}(p),S.stopTraining_?[2,"break"]:[2]}})},g=0,y.label=3;case 3:return g<h.length?[5,d(g)]:[3,6];case 4:if("break"===y.sent())return[3,6];y.label=5;case 5:return++g,[3,3];case 6:l.dispose(),y.label=7;case 7:return[4,E.onEpochEnd(i,o)];case 8:return y.sent(),S.stopTraining_?[2,"break"]:[2]}})},S=this,O=d,I.label=2;case 2:return O<i?[5,N(O)]:[3,5];case 3:if("break"===I.sent())return[3,5];I.label=4;case 4:return++O,[3,2];case 5:return[4,E.onTrainEnd()];case 6:return I.sent(),[4,this.history.syncData()];case 7:return I.sent(),[2,this.history]}})})},t.prototype.testLoop=function(e,t,n,a,i){var o=this;return void 0===a&&(a=0),Object(r.od)(function(){var s=o.checkNumSamples(t,n,i,"steps"),u=[];if(1===a)throw new x("Verbose mode is not implemented yet.");if(null!=i)throw new x("steps mode in testLoop() is not implemented yet");for(var l=dn(s,n),c=Object(r.hd)(he(0,s)),f=0;f<l.length;++f){var p=l[f][0],h=l[f][1],d=ge(c,p,h-p),m=gn(t,d),g=e(m);if(0===f)for(var v=0;v<g.length;++v)u.push(y(0));for(v=0;v<g.length;++v){var b=g[v];u[v]=Object(r.s)(u[v],Object(r.Ob)(y(h-p),b))}}for(v=0;v<u.length;++v)u[v]=Object(r.Ha)(u[v],y(s));return u})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;S(e,r)>1&&(a+="_"+S(e.slice(0,n),r)),t.push(a)}return t},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return Object(r.od)(function(){for(var n,a=[],i=t.slice(0,e.inputs.length),o=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),s=[],u=0;u<e.inputs.length;++u)s.push({key:e.inputs[u],value:i[u]});var l=new un(s),c=ln(e.outputs,l);for(u=0;u<e.lossFunctions.length;++u){var f=e.lossFunctions[u],p=Object(r.Fb)(f(o[u],c[u]));n=0===u?p:Object(r.s)(n,p),a.push(n)}for(u=0;u<e.metricsTensors.length;++u){var h=e.metricsTensors[u][0],d=e.metricsTensors[u][1],m=Object(r.Fb)(h(o[d],c[d]));a.push(m)}return a})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),s(this,void 0,void 0,function(){var a,i,o,s,l,c,f,p,h,d,m,g,y,v,b,_,E,N,S,O=this;return u(this,function(u){switch(u.label){case 0:if(this.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");this.isTraining=!0,u.label=1;case 1:if(u.trys.push([1,,3,4]),vn(a=null==n.batchSize?32:n.batchSize),i=this.standardizeUserData(e,t,!1,a),o=i[0],s=i[1],l=!1,c=void 0,f=void 0,p=void 0,h=!1,null!=n.validationData&&n.validationData.length>0){if(l=!0,2!==n.validationData.length)throw 3===n.validationData.length?new x("validationData including sample weights is not supported yet."):new w("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+n.validationData+" is invalid.");c=n.validationData[0],f=n.validationData[1],d=this.standardizeUserData(c,f,!0,a),c=d[0],f=d[1],p=c.concat(f)}else null!=n.validationSplit&&n.validationSplit>0&&n.validationSplit<1?(l=!0,m=Math.floor(o[0].shape[0]*(1-n.validationSplit)),g=o[0].shape[0],c=mn(o,m,g),o=mn(o,0,m),f=mn(s,m,g),s=mn(s,0,m),h=!0,p=c.concat(f)):null!=n.validationSteps&&(l=!0);return y=o.concat(s),this.checkTrainableWeightsConsistency(),v=function(e){var t=e.slice(0,O.inputs.length),n=e.slice(O.inputs.length,O.inputs.length+O.outputs.length),a=[],i=O.collectedTrainableWeights.map(function(e){return e.read()});return[O.optimizer.minimize(function(){for(var e=[],i=0;i<O.inputs.length;++i)e.push({key:O.inputs[i],value:t[i]});var o,s=new un(e),u=ln(O.outputs,s,{training:!0});for(i=0;i<O.lossFunctions.length;++i){var l=(0,O.lossFunctions[i])(n[i],u[i]);Object(r.Fb)(l),o=0===i?l:Object(r.s)(o,l)}for(i=0;i<O.metricsTensors.length;++i){var c=O.metricsTensors[i][0],f=O.metricsTensors[i][1],p=Object(r.Fb)(c(n[f],u[f]));Object(r.ib)(p),a.push(p)}return o=Object(r.Fb)(o),O.calculateLosses().forEach(function(e){o=Object(r.s)(o,e)}),o},!0,i)].concat(a)},b=this.getDedupedMetricsNames(),_=void 0,E=void 0,l?(this.makeTestFunction(),_=this.testFunction,E=b.slice().concat(b.map(function(e){return"val_"+e}))):(_=null,p=[],E=b.slice()),N=function(e){return null==e?null:e instanceof dt?[e]:Array.isArray(e)&&e[0]instanceof dt?e:k(e).map(function(e){return new bt(e)})}(n.callbacks),[4,this.fitLoop(v,y,b,a,n.epochs,n.verbose,N,_,p,n.shuffle,E,n.initialEpoch,null,null,n.yieldEvery)];case 2:return S=u.sent(),h&&(p.forEach(function(e){return e.dispose()}),o.forEach(function(e){return e.dispose()}),s.forEach(function(e){return e.dispose()})),this.isTraining=!1,[2,S];case 3:return this.isTraining=!1,[7];case 4:return[2]}})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||(t[r[i].originalName]=a[i]);return t},Object.defineProperty(t.prototype,"stopTraining",{set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),t.prototype.save=function(e,t){return s(this,void 0,void 0,function(){var n,a,i,o,s;return u(this,function(u){switch(u.label){case 0:if("string"==typeof e){if(0===(n=r.hb.getSaveHandlers(e)).length)throw new w("Cannot find any save handlers for URL '"+e+"'");if(n.length>1)throw new w("Found more than one ("+n.length+") save handlers for URL '"+e+"'");e=n[0]}if(null==e.save)throw new w("Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,r.hb.encodeWeights(this.getNamedWeights(t))];case 1:return a=u.sent(),i=!1,o=null,s=this.toJSON(o,i),[2,e.save({modelTopology:s,weightData:a.data,weightSpecs:a.specs})]}})})},t.className="Model",t}(sn);r.Ec.registerClass(bn);var wn=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:d("sequential_"),null!=t.layers)for(var r=0,a=t.layers;r<a.length;r++){var i=a[r];n.add(i)}return n}return i(t,e),t.prototype.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some(function(e){return e<0}))throw new w("Negative dimension size caused by adding layer "+e.name+" with input shape ["+e.inboundNodes[0].inputTensors[0].shape+"]")},t.prototype.add=function(e){var n,r=e instanceof t||e instanceof bn;if(r){if(1!==(n=e).outputs.length)throw new w("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new w("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new w("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=pt({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new w("A layer added to a Sequential model must not already be connected somewhere else. Model received layer "+e.name+" which has "+e.inboundNodes.length+" pre-existing inbound connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new w("All layers in a Sequential model should have a single output tensor. 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Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e}function Qn(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(i="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function er(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+pe([n-t,0]);else{if("same"!==r)throw new w("Unsupport padding mode: "+r+".");e*=t}return e}function tr(e,t){return Object(r.od)(function(){return J(t),"channelsFirst"===t?Object(r.ud)(e,[0,2,3,1]):e})}var nr=function(e){function t(n,r){var a=e.call(this,r)||this;if(a.bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyConfig(r),a.rank=n,1!==a.rank&&2!==a.rank)throw new x("Convolution layer for rank other than 1 or 2 ("+a.rank+") is not implemented yet.");if(a.kernelSize=Zn(r.kernelSize,n,"kernelSize"),a.strides=Zn(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,Q(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,J(a.dataFormat),a.activation=Fn(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Ke(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=H(r.biasConstraint),a.biasRegularizer=Jn(r.biasRegularizer),a.activityRegularizer=Jn(r.activityRegularizer),a.dilationRate=Zn(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new w("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new w("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate));return a}return i(t,e),t.verifyConfig=function(e){if(N("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,2))throw new w("BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Bn(this.activation),useBias:this.useBias,biasInitializer:He(this.biasInitializer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),rr=function(e){function t(n,r){var a=e.call(this,n,r)||this;return a.kernel=null,t.verifyConfig(r),a.filters=r.filters,a.kernelInitializer=Ke(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=H(r.kernelConstraint),a.kernelRegularizer=Jn(r.kernelRegularizer),a}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new w("The channel dimension of the input should be defined. 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Found `None`.");var n,r=e[t],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new it({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e);if(4!==t.shape.length)throw new w("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(a=2,i=3):(a=1,i=2);var u=o[a],l=o[i],c=n.kernelSize[0],f=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[s,er(u,p,c,n.padding),er(l,h,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=Object(r.ud)(t,[0,2,3,1]));var m=Object(r.Y)(t,n.kernel.read(),d,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(m=Object(r.ud)(m,[0,3,1,2])),null!=n.bias&&(m=Oe(m,n.bias.read(),n.dataFormat)),null!=n.activation&&(m=n.activation.apply(m)),m})},t.prototype.computeOutputShape=function(e){var t,n,r,a=(e=Qe(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=er(a[n],s,i,this.padding),a[r]=er(a[r],u,o,this.padding),a},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className="Conv2DTranspose",t}(ar);r.Ec.registerClass(ir);var or=function(e){function t(t){return e.call(this,2,t)||this}return i(t,e),t.className="SeparableConv2D",t}(function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new w("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new w("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new w("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=Jn(n.depthwiseRegularizer),r.depthwiseConstraint=H(n.depthwiseConstraint),r.pointwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=Jn(n.pointwiseRegularizer),r.pointwiseConstraint=H(n.pointwiseConstraint),r}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<this.rank+2)throw new w("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var t,n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new w("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new it({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t;if(e=Ze(e),1===n.rank)throw new x("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=Object(r.ud)(e,[0,2,3,1])),t=Object(r.Dc)(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=Object(r.ud)(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=He(this.depthwiseInitializer),t.pointwiseInitializer=He(this.pointwiseInitializer),t.depthwiseRegularizer=Xn(this.depthwiseRegularizer),t.pointwiseRegularizer=Xn(this.pointwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseConstraint),t.pointwiseConstraint=$(this.pointwiseConstraint),t},t.className="SeparableConv",t}(rr));r.Ec.registerClass(or);var sr=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return i(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if("number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,1))throw new w("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv1D",t}(rr);r.Ec.registerClass(sr);var ur=function(e){function t(t){var n=e.call(this,t)||this;return"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return e=Ze(e),"channelsLast"===n.dataFormat?ve(ve(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):ve(ve(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Cropping2D",t}(ct);r.Ec.registerClass(ur);var lr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,n}return i(t,e),t.prototype.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}return t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2],[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e),a=t.shape;if("channelsFirst"===n.dataFormat){t=Object(r.ud)(t,[0,2,3,1]);var i=n.size[0]*a[2],o=n.size[1]*a[3],s=t.resizeNearestNeighbor([i,o]);return Object(r.ud)(s,[0,3,1,2])}return i=n.size[0]*a[1],o=n.size[1]*a[2],t.resizeNearestNeighbor([i,o])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="UpSampling2D",t}(ct);r.Ec.registerClass(lr);var cr=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=Ke(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=H(t.depthwiseConstraint),n.depthwiseRegularizer=Jn(t.depthwiseRegularizer),n}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<4)throw new w("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new w("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=function(e,t,n,a,i,o){return void 0===n&&(n=[1,1]),void 0===a&&(a="valid"),Object(r.od)(function(){null==i&&(i="channelsLast"),J(i);var o=tr(e,i);if(4!==e.rank)throw new w("Input for depthwiseConv2d is required to be 4-D, but is instead "+e.rank+"-D");if(4!==t.rank)throw new w("depthwiseKernel is required to be 4-D, but is instead "+t.rank+"-D");return o=Object(r.Ea)(o,t,n,"same"===a?"same":"valid","NHWC",null),"channelsFirst"===i&&(o=Object(r.ud)(o,[0,3,1,2])),o})}(e=Ze(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat);return n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=Qn(t,this.kernelSize[0],this.padding,this.strides[0]),i=Qn(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=He(this.depthwiseInitializer),t.depthwiseRegularizer=Xn(this.depthwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseRegularizer),t},t.className="DepthwiseConv2D",t}(nr);r.Ec.registerClass(cr);var fr=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=y(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new x("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return i(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var a=Ze(e);if(null!=n.noiseShape&&!r.yd.arraysEqual(a.shape,n.noiseShape))throw new x("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,o=n.getNoiseShape(a);return Ie(function(){return ke(a,n.rateScalar,o,n.seed)},function(){return a},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dropout",t}(ct);r.Ec.registerClass(fr);var pr=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=Fn(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=H(t.kernelConstraint),n.biasConstraint=H(t.biasConstraint),n.kernelRegularizer=Jn(t.kernelRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.activityRegularizer=Jn(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return i(t,e),t.prototype.build=function(e){var t,n=(e=Qe(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ee(Ze(e),n.kernel.read());return null!=n.bias&&(r=Oe(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dense",t}(ct);r.Ec.registerClass(pr);var hr=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return i(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=Qe(e)).slice(1);t<n.length;t++)if(null==n[t])throw new w('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[e[0],le(e,1)]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return n.invokeCallHook(e,t),function(e){if(e.rank<=1)throw new w("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],le(e.shape,1)];return e.reshape(t)}(Ze(e))})},t.className="Flatten",t}(ct);r.Ec.registerClass(hr);var dr=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=Fn(t.activation),n}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ze(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:Bn(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Activation",t}(ct);r.Ec.registerClass(dr);var mr=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return function(e,t){return Object(r.od)(function(){if(2!==e.shape.length)throw new w("repeat() expects a rank-2 tensor, but received a rank-"+e.shape.length+" tensor.");return xe(me(e,1),[1,t,1])})}(e=Ze(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="RepeatVector",t}(ct);r.Ec.registerClass(mr);var gr=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return i(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new w("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=le(e);if(null!==i){if(0===a||u%a!=0)throw new w(n);r[i]=u/a}else if(u!==a)throw new w(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ze(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Reshape",t}(ct);r.Ec.registerClass(gr);var yr=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var a=he(1,t.dims.length+1);if(!r.yd.arraysEqual(t.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new it({ndim:n.dims.length+1})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return Object(r.ud)(Ze(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Permute",t}(ct);r.Ec.registerClass(yr);var vr=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(k(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=Ke(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=Jn(t.embeddingsRegularizer),n.activityRegularizer=Jn(t.activityRegularizer),n.embeddingsConstraint=H(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return i(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Embedding yet")},t.prototype.computeOutputShape=function(e){if(e=Qe(e),null==this.inputLength)return e.concat([this.outputDim]);var t=k(this.inputLength);if(t.length!==e.length-1)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ze(e);return"int32"!==r.dtype&&(r=de(r,"int32")),Ne(n.embeddings.read(),r.as1D()).reshape(Qe(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:He(this.embeddingsInitializer),embeddingsRegularizer:Xn(this.embeddingsRegularizer),activityRegularizer:Xn(this.activityRegularizer),embeddingsConstraint:$(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Embedding",t}(ct);r.Ec.registerClass(vr);var br=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return i(t,e),t.prototype.mergeFunction=function(e){throw new x},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new w("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Qe(e)]),(e=e).length<2)throw new w("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t=[],n=0,r=e;n<r.length;n++)null!=(o=r[n])&&null!==o[0]&&t.push(o[0]);if((t=R(t)).length>1)throw new w("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var a=null==e[0]?null:e[0].slice(1),i=1;i<e.length;++i){var o=null==e[i]?null:e[i].slice(1);a=this.computeElementwiseOpOutputShape(a,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===R(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){if(e=e,n.reshapeRequired){var t=[],a=e.map(function(e){return e.rank});if(-1===a.indexOf(null)){for(var i=pe(a),o=0,s=e;o<s.length;o++){for(var u=(h=s[o]).rank,l=0;l<i-u;++l)h=me(h,1);t.push(h)}return n.mergeFunction(t)}for(var c=!1,f=0,p=e;f<p.length;f++){var h;if(null==(u=(h=p[f]).rank)){var d=h.shape,m=d[0],g=d.slice(1).concat([m]),y=h.reshape([m].concat(le(d.slice(1))));y=(y=Object(r.ud)(y,[1,0])).reshape(g),t.push(y),c=!0}else if(u>1){var v=he(1,u).concat([0]);t.push(Object(r.ud)(h,v)),c=!0}else t.push(h)}var b=n.mergeFunction(t),w=b.rank;if(c)if(null==w){var x=b.shape;g=[m=x[x.length-1]].concat(x.slice(0,x.length-1)),b=Object(r.ud)(b.reshape([-1,m]),[1,0]).reshape(g)}else w>1&&(v=[w-1].concat(he(0,w-1)),b=Object(r.ud)(b,v));return b}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a=[],i=0,o=e;i<o.length;i++)null!=(r=o[i])&&null!==r[0]&&a.push(r[0]);return 1===(a=R(a)).length?a.concat(t):[null].concat(t)},t}(ct),wr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.s)(t,e[n]);return t})},t.className="Add",t}(br);r.Ec.registerClass(wr);var xr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.Ob)(t,e[n]);return t})},t.className="Multiply",t}(br);r.Ec.registerClass(xr);var _r=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.s)(t,e[n]);return Object(r.Ob)(y(1/e.length),t)})},t.className="Average",t}(br);r.Ec.registerClass(_r);var Er=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.Db)(t,e[n]);return t})},t.className="Maximum",t}(br);r.Ec.registerClass(Er);var Nr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.Ib)(t,e[n]);return t})},t.className="Minimum",t}(br);r.Ec.registerClass(Nr);var Sr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return i(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new w("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t=!0,n=0,a=e=e;n<a.length;n++)if(null!=(f=a[n])){t=!1;break}if(!t){for(var i=[],o=0;o<e.length;++o){var s=e[o].slice();s.splice(this.axis,1);for(var u=!1,l=0,c=i;l<c.length;l++){var f=c[l];if(r.yd.arraysEqual(f,s)){u=!0;break}}u||i.push(s)}if(i.length>1)throw new w("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return Object(r.od)(function(){return be(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new w("A `Concatenate` layer should be called on a list of inputs.");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,a=0,i=t.slice(1);a<i.length;a++){var o=i[a];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Concatenate",t}(br);function Or(e,t,n,a,i,o){var s;if(void 0===o&&(o=.001),2===e.rank)s=Object(r.H)(e,t,n,o,i,a);else if(3===e.rank)s=Object(r.I)(e,t,n,o,i,a);else{if(4!==e.rank)throw new x("batchNormalization is not implememnted for array of rank "+e.rank+" yet");s=Object(r.J)(e,t,n,o,i,a)}return s}r.Ec.registerClass(Sr);var kr=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=Ke(t.betaInitializer||"zeros"),n.gammaInitializer=Ke(t.gammaInitializer||"ones"),n.movingMeanInitializer=Ke(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Ke(t.movingVarianceInitializer||"ones"),n.betaConstraint=H(t.betaConstraint),n.gammaConstraint=H(t.gammaConstraint),n.betaRegularizer=Jn(t.betaRegularizer),n.gammaRegularizer=Jn(t.gammaRegularizer),n.stepCount=0,n}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new w("Axis "+t+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new it({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var a=null!=t.training&&t.training,i=Ze(e),o=i.shape,s=o.length,u=he(0,s),l=n.axis>=0?n.axis:n.axis+s;u.splice(l,1);var c=E(1,s);c[l]=o[l];var f=u.slice();f.sort();var p=!r.yd.arraysEqual(f,he(0,s).slice(0,s-1));if(!a)return function(){if(p){var e=n.movingMean.read().reshape(c),t=n.movingVariance.read().reshape(c),r=n.center?n.beta.read().reshape(c):null,a=n.scale?n.gamma.read().reshape(c):null;return Or(i,e,t,r,a,n.epsilon)}return Or(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(e,t,n,a,i){return void 0===i&&(i=.001),r.yd.arraysEqual(a.slice().sort(),he(0,e.rank-1))?function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.od)(function(){var o=Object(r.Mb)(e,a),s=o.mean,u=o.variance;return[Or(e,s,u,n,t,i),s,u]})}(e,t,n,a,i):function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.od)(function(){for(var o=Object(r.Mb)(e,a),s=o.mean,u=o.variance,l=[],c=0,f=he(0,e.rank);c<f.length;c++){var p=f[c];-1!==a.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=s.reshape(l),d=u.reshape(l),m=null==t?null:t.reshape(l),g=null==n?null:n.reshape(l);return[Or(e,h,d,g,m,i),s,u]})}(e,t,n,a,i)}(i,n.gamma.read(),n.beta.read(),u,n.epsilon),d=h[0],m=h[1],g=h[2],v=le(u.map(function(e){return i.shape[e]})),b=g.mul(y(v/(v-(1+n.epsilon))));return function(){n.stepCount++;var e=Object(r.Nb)(n.movingMean.read(),m,n.momentum,n.stepCount);n.movingMean.write(e);var t=Object(r.Nb)(n.movingVariance.read(),b,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:He(this.betaInitializer),gammaInitializer:He(this.gammaInitializer),movingMeanInitializer:He(this.movingMeanInitializer),movingVarianceInitializer:He(this.movingVarianceInitializer),betaRegularizer:Xn(this.betaRegularizer),gammaRegularizer:Xn(this.gammaRegularizer),betaConstraint:$(this.betaConstraint),gammaConstraint:$(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="BatchNormalization",t}(ct);r.Ec.registerClass(kr);var Ir=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new w("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r=void 0,a=void 0;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new w("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new w("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new it({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=Qe(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return function(e,t,n){return Object(r.od)(function(){if(4!==e.rank)throw new w("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new w("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new w("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var a;return a="channelsFirst"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],Object(r.cc)(e,a)})}(Ze(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ZeroPadding2D",t}(ct);function Cr(e,t,n,a,i,o){return Object(r.od)(function(){var s;J(i),j(ee,"PoolMode",o),Q(a),null==n&&(n=[1,1]),null==a&&(a="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),e=tr(e,i);var u="same"===a?"same":"valid";return s="max"===o?Object(r.Cb)(e,t,n,u):Object(r.E)(e,t,n,u),"channelsFirst"===i&&(s=Object(r.ud)(s,[0,3,1,2])),s})}r.Ec.registerClass(Ir);var Pr=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new w("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new w("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?"valid":t.padding,Q(n.padding),n.inputSpec=[new it({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=Qn((e=Qe(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t),e=me(Ze(e),2);var a=n.poolingFunction(Ze(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Object(r.Xc)(a,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),Ar=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"max")},t.className="MaxPooling1D",t}(Pr);r.Ec.registerClass(Ar);var Tr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"avg")},t.className="AveragePooling1D",t}(Pr);r.Ec.registerClass(Tr);var Mr=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new w("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),Q(n.padding),n.inputSpec=[new it({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=Qn(t,this.poolSize[0],this.padding,this.strides[0]),n=Qn(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return n.invokeCallHook(e,t),n.poolingFunction(Ze(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),Rr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"max")},t.className="MaxPooling2D",t}(Mr);r.Ec.registerClass(Rr);var Dr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"avg")},t.className="AveragePooling2D",t}(Mr);r.Ec.registerClass(Dr);var jr=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new it({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new x},t}(ct),Lr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.od)(function(){var t=Ze(e);return Object(r.Fb)(t,1)})},t.className="GlobalAveragePooling1D",t}(jr);r.Ec.registerClass(Lr);var Br=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.od)(function(){var t=Ze(e);return Object(r.Bb)(t,1)})},t.className="GlobalMaxPooling1D",t}(jr);r.Ec.registerClass(Br);var zr=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),n.inputSpec=[new it({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new x},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),Fr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.Fb)(t,[1,2]):Object(r.Fb)(t,[2,3])})},t.className="GlobalAveragePooling2D",t}(zr);r.Ec.registerClass(Fr);var Vr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.Bb)(t,[1,2]):Object(r.Bb)(t,[2,3])})},t.className="GlobalMaxPooling2D",t}(zr);function Ur(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new w("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function Wr(e,t,n,a,i,o,s,u){void 0===a&&(a=!1),void 0===s&&(s=!1),void 0===u&&(u=!1);var l=t.shape.length;if(l<3)throw new w("Input should be at least 3D, but is "+l+"D.");var c,f,p=[1,0].concat(he(2,l));if(t=Object(r.ud)(t,p),null!=i)throw new x("The rnn() function of the deeplearn.js backend does not support masking yet.");if(null!=o)throw new x("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),a&&(t=Object(r.uc)(t,0));for(var h=n,d=t.shape[0],m=function(n){var a=ge(t,n,1);a=a.reshape(a.shape.slice(1));var i=Object(r.od)(function(){return e(a,h)});if(f=i[0],u)if(0===n)c=f.expandDims(1);else{var o=Object(r.R)([c,f.expandDims(1)],1);c.dispose(),c=o}h=i[1]},g=0;g<d;++g)m(g);return[f,c,h]}r.Ec.registerClass(Vr);var qr=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new w("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(t.cell)?new Zr({cells:t.cell}):t.cell).stateSize)throw new w("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new it({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return i(t,e),t.prototype.getStates=function(){return null==this.states?he(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){Ye(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a=[],i=0,o=t;i<o.length;i++){var s=o[i];a.push([e[0],s])}return[n].concat(a)}return n},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for RNN yet")},t.prototype.build=function(e){if(null!=this.numConstants)throw new x("Constants support is not implemented in RNN yet.");Ye(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new it({shape:[t,null,n]});var a,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),a=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!r.yd.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),a))throw new w("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=a.map(function(e){return new it({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e){var t=this;Object(r.od)(function(){if(!t.stateful)throw new v("Cannot call resetStates() on an RNN Layer that is not stateful.");var n=t.inputSpec[0].shape[0];if(null==n)throw new w("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.states)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return Object(r.Hd)([n,e])}):t.states=[Object(r.Hd)([n,t.cell.stateSize])];else if(null==e)Object(r.Fa)(t.states),null!=t.keptStates&&(Object(r.Fa)(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return Object(r.Hd)([n,e])}):t.states[0]=Object(r.Hd)([n,t.cell.stateSize]);else{if(t.keptStates.push(t.states.slice()),Array.isArray(e)||(e=[e]),e.length!==t.states.length)throw new w("Layer "+t.name+" expects "+t.states.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);for(var a=0;a<t.states.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[n,o];if(!r.yd.arraysEqual(i.shape,s))throw new w("State "+a+" is incompatible with layer "+t.name+": expected shape="+s+", received shape="+i.shape);t.states[a]=i}}t.states.forEach(function(e){return Object(r.ib)(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=Ur(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new it({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof ot){var f=[t].concat(o),p=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=p;var d=e.prototype.apply.call(this,f,n);return this.inputSpec=h,d}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;if(e=Ze(e),null==i&&(i=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new x("Masking is not implemented for RNN yet");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new w("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=Wr(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,i,n.goBackwards,null,null,n.unroll,n.returnSequences),l=u[0],c=u[1],f=u[2];n.stateful&&n.resetStates(f);var p=n.returnSequences?c:l;return n.returnState?[p].concat(f):p})},t.prototype.getInitialState=function(e){var t=this;return Object(r.od)(function(){var n=Object(r.Hd)(e.shape);return n=me(n=Object(r.dd)(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?xe(n,[1,e]):n}):t.cell.stateSize>1?[xe(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className="RNN",t}(ct);r.Ec.registerClass(qr);var $r=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t}(ct),Gr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Fn(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jn(t.kernelRegularizer),n.recurrentRegularizer=Jn(t.recurrentRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){e=Qe(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){if(2!==(e=e).length)throw new w("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var a=e[1];e=e[0];var i,o=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Qr(function(){return Object(r.Zb)(e)},n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Qr(function(){return Object(r.Zb)(a)},n.recurrentDropout,o));var s=n.dropoutMask,u=n.recurrentDropoutMask;i=Ee(null!=s?Object(r.Ob)(e,s):e,n.kernel.read()),null!=n.bias&&(i=Oe(i,n.bias.read())),null!=u&&(a=Object(r.Ob)(a,u));var l=Object(r.s)(i,Ee(a,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="SimpleRNNCell",t}($r);r.Ec.registerClass(Gr);var Hr=function(e){function t(t){return t.cell=new Gr(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.od)(function(){null!=a.cell.dropoutMask&&(Object(r.Fa)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.Fa)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className="SimpleRNN",t}(qr);r.Ec.registerClass(Hr);var Kr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Fn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Fn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jn(t.kernelRegularizer),n.recurrentRegularizer=Jn(t.recurrentRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t=(e=Qe(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){if(2!==(e=e).length)throw new w("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var a=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Qr(function(){return Object(r.Zb)(e)},n.dropout,a,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Qr(function(){return Object(r.Zb)(i)},n.recurrentDropout,a,3));var o,s,u,l=n.dropoutMask,c=n.recurrentDropoutMask;if(1===n.implementation){var f=ye(n.kernel.read(),0,n.units),p=ye(n.kernel.read(),n.units,n.units),h=ye(n.kernel.read(),2*n.units,n.units),d=ye(n.recurrentKernel.read(),0,n.units),m=ye(n.recurrentKernel.read(),n.units,n.units),g=ye(n.recurrentKernel.read(),2*n.units,n.units),v=void 0,b=void 0,x=void 0;0<n.dropout&&n.dropout<1?(v=Object(r.Ob)(e,l[0]),b=Object(r.Ob)(e,l[1]),x=Object(r.Ob)(e,l[2])):(v=e,b=e,x=e);var _=Ee(v,f),E=Ee(b,p),N=Ee(x,h);if(n.useBias){var S=ge(n.bias.read(),0,n.units),O=ge(n.bias.read(),n.units,n.units),k=ge(n.bias.read(),2*n.units,n.units);_=Oe(_,S),E=Oe(E,O),N=Oe(N,k)}var I=void 0,C=void 0,P=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(I=Object(r.Ob)(i,c[0]),C=Object(r.Ob)(i,c[1]),P=Object(r.Ob)(i,c[2])):(I=i,C=i,P=i),o=n.recurrentActivation.apply(Object(r.s)(_,Ee(I,d))),s=n.recurrentActivation.apply(Object(r.s)(E,Ee(C,m))),u=n.activation.apply(Object(r.s)(N,Ee(Object(r.Ob)(s,P),g)))}else{0<n.dropout&&n.dropout<1&&(e=Object(r.Ob)(e,l[0]));var A=Ee(e,n.kernel.read());n.useBias&&(A=Oe(A,n.bias.read())),0<n.dropout&&n.dropout<1&&(i=Object(r.Ob)(i,c[0]));var T=Ee(i,ye(n.recurrentKernel.read(),0,2*n.units)),M=(_=ye(A,0,n.units),E=ye(A,n.units,n.units),ye(T,0,n.units)),R=ye(T,n.units,n.units);o=n.recurrentActivation.apply(Object(r.s)(_,M)),s=n.recurrentActivation.apply(Object(r.s)(E,R)),N=ye(A,2*n.units,n.units);var D=Ee(Object(r.Ob)(s,i),ye(n.recurrentKernel.read(),2*n.units,n.units));u=n.activation.apply(Object(r.s)(N,D))}var j=Object(r.s)(Object(r.Ob)(o,i),Object(r.Ob)(Object(r.s)(y(1),Object(r.Sb)(o)),u));return[j,j]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="GRUCell",t}($r);r.Ec.registerClass(Kr);var Xr=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Kr(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.od)(function(){null!=a.cell.dropoutMask&&(Object(r.Fa)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.Fa)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="GRU",t}(qr);r.Ec.registerClass(Xr);var Yr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Fn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Fn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=Jn(t.kernelRegularizer),n.recurrentRegularizer=Jn(t.recurrentRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t,n,r=(e=Qe(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,o=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.apply=function(e,t){var n=a.apply([o]),r=(new Me).apply([o]),i=a.apply([2*o]);return we(we(n,r),i)},t}(Ae)).className="CustomInit",n)}else t=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var a=null!=t.training&&t.training;if(3!==(e=e).length)throw new w("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var i=e[1],o=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Qr(function(){return Object(r.Zb)(e)},n.dropout,a,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Qr(function(){return Object(r.Zb)(i)},n.recurrentDropout,a,4));var s,u,l,c,f=n.dropoutMask,p=n.recurrentDropoutMask;if(1===n.implementation){var h=ye(n.kernel.read(),0,n.units),d=ye(n.kernel.read(),n.units,n.units),m=ye(n.kernel.read(),2*n.units,n.units),g=ye(n.kernel.read(),3*n.units,n.units),y=ye(n.recurrentKernel.read(),0,n.units),v=ye(n.recurrentKernel.read(),n.units,n.units),b=ye(n.recurrentKernel.read(),2*n.units,n.units),x=ye(n.recurrentKernel.read(),3*n.units,n.units),_=void 0,E=void 0,N=void 0,S=void 0;0<n.dropout&&n.dropout<1?(_=Object(r.Ob)(e,f[0]),E=Object(r.Ob)(e,f[1]),N=Object(r.Ob)(e,f[2]),S=Object(r.Ob)(e,f[3])):(_=e,E=e,N=e,S=e);var O=Ee(_,h),k=Ee(E,d),I=Ee(N,m),C=Ee(S,g);if(n.useBias){var P=ge(n.bias.read(),0,n.units),A=ge(n.bias.read(),n.units,n.units),T=ge(n.bias.read(),2*n.units,n.units),M=ge(n.bias.read(),3*n.units,n.units);O=Oe(O,P),k=Oe(k,A),I=Oe(I,T),C=Oe(C,M)}var R=void 0,D=void 0,j=void 0,L=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(R=Object(r.Ob)(i,p[0]),D=Object(r.Ob)(i,p[1]),j=Object(r.Ob)(i,p[2]),L=Object(r.Ob)(i,p[3])):(R=i,D=i,j=i,L=i),s=n.recurrentActivation.apply(Object(r.s)(O,Ee(R,y))),u=n.recurrentActivation.apply(Object(r.s)(k,Ee(D,v))),l=Object(r.s)(Object(r.Ob)(u,o),Object(r.Ob)(s,n.activation.apply(Object(r.s)(I,Ee(j,b))))),c=n.recurrentActivation.apply(Object(r.s)(C,Ee(L,x)))}else{0<n.dropout&&n.dropout<1&&(e=Object(r.Ob)(e,f[0]));var B=Ee(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Object(r.Ob)(i,p[0])),B=Object(r.s)(B,Ee(i,n.recurrentKernel.read())),n.useBias&&(B=Oe(B,n.bias.read()));var z=ye(B,0,n.units),F=ye(B,n.units,n.units),V=ye(B,2*n.units,n.units),U=ye(B,3*n.units,n.units);s=n.recurrentActivation.apply(z),u=n.recurrentActivation.apply(F),l=Object(r.s)(Object(r.Ob)(u,o),Object(r.Ob)(s,n.activation.apply(V))),c=n.recurrentActivation.apply(U)}var W=Object(r.Ob)(c,n.activation.apply(l));return[W,W,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="LSTMCell",t}($r);r.Ec.registerClass(Yr);var Jr=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Yr(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.od)(function(){null!=a.cell.dropoutMask&&(Object(r.Fa)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.Fa)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="LSTM",t}(qr);r.Ec.registerClass(Jr);var Zr=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return i(t,e),Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){for(var r=(e=e).slice(1),a=[],i=0,o=n.cells.slice().reverse();i<o.length;i++){var s=o[i];Array.isArray(s.stateSize)?a.push(r.splice(0,s.stateSize.length)):a.push(r.splice(0,1))}a.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=a[c],u=0===c?[e[0]].concat(r):[u[0]].concat(r),u=s.call(u,t),l.push(u.slice(1));r=[];for(var f=0,p=l.slice().reverse();f<p.length;f++){var h=p[f];r.push.apply(r,h)}return[u[0]].concat(r)})},t.prototype.build=function(e){var t;Ye(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var a=r[n];a.build(e),t=Array.isArray(a.stateSize)?a.stateSize[0]:a.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var a=r[n];t.push({className:this.getClassName(),config:a.getConfig()})}var i={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(i,o),i},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],a=0,i=t.cells;a<i.length;a++){var o=i[a];r.push(tn(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var a=[],i=0,o=this.cells;i<o.length;i++)r=o[i],a.push.apply(a,r.trainableWeights);return a.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return rt(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var a=r[n],i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)t.push([a.weights[s],o[s]]);at(t)},t.className="StackedRNNCells",t}($r);function Qr(e,t,n,a){function i(){return ke(e(),y(t))}if(void 0===n&&(n=null),void 0===a&&(a=1),a>1){for(var o=[],s=0;s<a;s++)o.push(Ie(i,e,n));return o.forEach(function(e){return Object(r.ib)(e)}),o}return Object(r.ib)(Ie(i,e,n))}r.Ec.registerClass(Zr);var ea=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return i(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,"trainable",{get:function(){return 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r,a,i,o=e.words,s=t.words,u=n.words,l=0,c=0|o[0],f=8191&c,p=c>>>13,h=0|o[1],d=8191&h,m=h>>>13,g=0|o[2],y=8191&g,v=g>>>13,b=0|o[3],w=8191&b,x=b>>>13,_=0|o[4],E=8191&_,N=_>>>13,S=0|o[5],O=8191&S,k=S>>>13,I=0|o[6],C=8191&I,P=I>>>13,A=0|o[7],T=8191&A,M=A>>>13,R=0|o[8],D=8191&R,j=R>>>13,L=0|o[9],B=8191&L,z=L>>>13,F=0|s[0],V=8191&F,U=F>>>13,W=0|s[1],q=8191&W,$=W>>>13,G=0|s[2],H=8191&G,K=G>>>13,X=0|s[3],Y=8191&X,J=X>>>13,Z=0|s[4],Q=8191&Z,ee=Z>>>13,te=0|s[5],ne=8191&te,re=te>>>13,ae=0|s[6],ie=8191&ae,oe=ae>>>13,se=0|s[7],ue=8191&se,le=se>>>13,ce=0|s[8],fe=8191&ce,pe=ce>>>13,he=0|s[9],de=8191&he,me=he>>>13;n.negative=e.negative^t.negative,n.length=19;var ge=(l+(r=Math.imul(f,V))|0)+((8191&(a=(a=Math.imul(f,U))+Math.imul(p,V)|0))<<13)|0;l=((i=Math.imul(p,U))+(a>>>13)|0)+(ge>>>26)|0,ge&=67108863,r=Math.imul(d,V),a=(a=Math.imul(d,U))+Math.imul(m,V)|0,i=Math.imul(m,U);var ye=(l+(r=r+Math.imul(f,q)|0)|0)+((8191&(a=(a=a+Math.imul(f,$)|0)+Math.imul(p,q)|0))<<13)|0;l=((i=i+Math.imul(p,$)|0)+(a>>>13)|0)+(ye>>>26)|0,ye&=67108863,r=Math.imul(y,V),a=(a=Math.imul(y,U))+Math.imul(v,V)|0,i=Math.imul(v,U),r=r+Math.imul(d,q)|0,a=(a=a+Math.imul(d,$)|0)+Math.imul(m,q)|0,i=i+Math.imul(m,$)|0;var ve=(l+(r=r+Math.imul(f,H)|0)|0)+((8191&(a=(a=a+Math.imul(f,K)|0)+Math.imul(p,H)|0))<<13)|0;l=((i=i+Math.imul(p,K)|0)+(a>>>13)|0)+(ve>>>26)|0,ve&=67108863,r=Math.imul(w,V),a=(a=Math.imul(w,U))+Math.imul(x,V)|0,i=Math.imul(x,U),r=r+Math.imul(y,q)|0,a=(a=a+Math.imul(y,$)|0)+Math.imul(v,q)|0,i=i+Math.imul(v,$)|0,r=r+Math.imul(d,H)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(m,H)|0,i=i+Math.imul(m,K)|0;var be=(l+(r=r+Math.imul(f,Y)|0)|0)+((8191&(a=(a=a+Math.imul(f,J)|0)+Math.imul(p,Y)|0))<<13)|0;l=((i=i+Math.imul(p,J)|0)+(a>>>13)|0)+(be>>>26)|0,be&=67108863,r=Math.imul(E,V),a=(a=Math.imul(E,U))+Math.imul(N,V)|0,i=Math.imul(N,U),r=r+Math.imul(w,q)|0,a=(a=a+Math.imul(w,$)|0)+Math.imul(x,q)|0,i=i+Math.imul(x,$)|0,r=r+Math.imul(y,H)|0,a=(a=a+Math.imul(y,K)|0)+Math.imul(v,H)|0,i=i+Math.imul(v,K)|0,r=r+Math.imul(d,Y)|0,a=(a=a+Math.imul(d,J)|0)+Math.imul(m,Y)|0,i=i+Math.imul(m,J)|0;var we=(l+(r=r+Math.imul(f,Q)|0)|0)+((8191&(a=(a=a+Math.imul(f,ee)|0)+Math.imul(p,Q)|0))<<13)|0;l=((i=i+Math.imul(p,ee)|0)+(a>>>13)|0)+(we>>>26)|0,we&=67108863,r=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(k,V)|0,i=Math.imul(k,U),r=r+Math.imul(E,q)|0,a=(a=a+Math.imul(E,$)|0)+Math.imul(N,q)|0,i=i+Math.imul(N,$)|0,r=r+Math.imul(w,H)|0,a=(a=a+Math.imul(w,K)|0)+Math.imul(x,H)|0,i=i+Math.imul(x,K)|0,r=r+Math.imul(y,Y)|0,a=(a=a+Math.imul(y,J)|0)+Math.imul(v,Y)|0,i=i+Math.imul(v,J)|0,r=r+Math.imul(d,Q)|0,a=(a=a+Math.imul(d,ee)|0)+Math.imul(m,Q)|0,i=i+Math.imul(m,ee)|0;var xe=(l+(r=r+Math.imul(f,ne)|0)|0)+((8191&(a=(a=a+Math.imul(f,re)|0)+Math.imul(p,ne)|0))<<13)|0;l=((i=i+Math.imul(p,re)|0)+(a>>>13)|0)+(xe>>>26)|0,xe&=67108863,r=Math.imul(C,V),a=(a=Math.imul(C,U))+Math.imul(P,V)|0,i=Math.imul(P,U),r=r+Math.imul(O,q)|0,a=(a=a+Math.imul(O,$)|0)+Math.imul(k,q)|0,i=i+Math.imul(k,$)|0,r=r+Math.imul(E,H)|0,a=(a=a+Math.imul(E,K)|0)+Math.imul(N,H)|0,i=i+Math.imul(N,K)|0,r=r+Math.imul(w,Y)|0,a=(a=a+Math.imul(w,J)|0)+Math.imul(x,Y)|0,i=i+Math.imul(x,J)|0,r=r+Math.imul(y,Q)|0,a=(a=a+Math.imul(y,ee)|0)+Math.imul(v,Q)|0,i=i+Math.imul(v,ee)|0,r=r+Math.imul(d,ne)|0,a=(a=a+Math.imul(d,re)|0)+Math.imul(m,ne)|0,i=i+Math.imul(m,re)|0;var _e=(l+(r=r+Math.imul(f,ie)|0)|0)+((8191&(a=(a=a+Math.imul(f,oe)|0)+Math.imul(p,ie)|0))<<13)|0;l=((i=i+Math.imul(p,oe)|0)+(a>>>13)|0)+(_e>>>26)|0,_e&=67108863,r=Math.imul(T,V),a=(a=Math.imul(T,U))+Math.imul(M,V)|0,i=Math.imul(M,U),r=r+Math.imul(C,q)|0,a=(a=a+Math.imul(C,$)|0)+Math.imul(P,q)|0,i=i+Math.imul(P,$)|0,r=r+Math.imul(O,H)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,K)|0,r=r+Math.imul(E,Y)|0,a=(a=a+Math.imul(E,J)|0)+Math.imul(N,Y)|0,i=i+Math.imul(N,J)|0,r=r+Math.imul(w,Q)|0,a=(a=a+Math.imul(w,ee)|0)+Math.imul(x,Q)|0,i=i+Math.imul(x,ee)|0,r=r+Math.imul(y,ne)|0,a=(a=a+Math.imul(y,re)|0)+Math.imul(v,ne)|0,i=i+Math.imul(v,re)|0,r=r+Math.imul(d,ie)|0,a=(a=a+Math.imul(d,oe)|0)+Math.imul(m,ie)|0,i=i+Math.imul(m,oe)|0;var Ee=(l+(r=r+Math.imul(f,ue)|0)|0)+((8191&(a=(a=a+Math.imul(f,le)|0)+Math.imul(p,ue)|0))<<13)|0;l=((i=i+Math.imul(p,le)|0)+(a>>>13)|0)+(Ee>>>26)|0,Ee&=67108863,r=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(j,V)|0,i=Math.imul(j,U),r=r+Math.imul(T,q)|0,a=(a=a+Math.imul(T,$)|0)+Math.imul(M,q)|0,i=i+Math.imul(M,$)|0,r=r+Math.imul(C,H)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(P,H)|0,i=i+Math.imul(P,K)|0,r=r+Math.imul(O,Y)|0,a=(a=a+Math.imul(O,J)|0)+Math.imul(k,Y)|0,i=i+Math.imul(k,J)|0,r=r+Math.imul(E,Q)|0,a=(a=a+Math.imul(E,ee)|0)+Math.imul(N,Q)|0,i=i+Math.imul(N,ee)|0,r=r+Math.imul(w,ne)|0,a=(a=a+Math.imul(w,re)|0)+Math.imul(x,ne)|0,i=i+Math.imul(x,re)|0,r=r+Math.imul(y,ie)|0,a=(a=a+Math.imul(y,oe)|0)+Math.imul(v,ie)|0,i=i+Math.imul(v,oe)|0,r=r+Math.imul(d,ue)|0,a=(a=a+Math.imul(d,le)|0)+Math.imul(m,ue)|0,i=i+Math.imul(m,le)|0;var Ne=(l+(r=r+Math.imul(f,fe)|0)|0)+((8191&(a=(a=a+Math.imul(f,pe)|0)+Math.imul(p,fe)|0))<<13)|0;l=((i=i+Math.imul(p,pe)|0)+(a>>>13)|0)+(Ne>>>26)|0,Ne&=67108863,r=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(z,V)|0,i=Math.imul(z,U),r=r+Math.imul(D,q)|0,a=(a=a+Math.imul(D,$)|0)+Math.imul(j,q)|0,i=i+Math.imul(j,$)|0,r=r+Math.imul(T,H)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(M,H)|0,i=i+Math.imul(M,K)|0,r=r+Math.imul(C,Y)|0,a=(a=a+Math.imul(C,J)|0)+Math.imul(P,Y)|0,i=i+Math.imul(P,J)|0,r=r+Math.imul(O,Q)|0,a=(a=a+Math.imul(O,ee)|0)+Math.imul(k,Q)|0,i=i+Math.imul(k,ee)|0,r=r+Math.imul(E,ne)|0,a=(a=a+Math.imul(E,re)|0)+Math.imul(N,ne)|0,i=i+Math.imul(N,re)|0,r=r+Math.imul(w,ie)|0,a=(a=a+Math.imul(w,oe)|0)+Math.imul(x,ie)|0,i=i+Math.imul(x,oe)|0,r=r+Math.imul(y,ue)|0,a=(a=a+Math.imul(y,le)|0)+Math.imul(v,ue)|0,i=i+Math.imul(v,le)|0,r=r+Math.imul(d,fe)|0,a=(a=a+Math.imul(d,pe)|0)+Math.imul(m,fe)|0,i=i+Math.imul(m,pe)|0;var Se=(l+(r=r+Math.imul(f,de)|0)|0)+((8191&(a=(a=a+Math.imul(f,me)|0)+Math.imul(p,de)|0))<<13)|0;l=((i=i+Math.imul(p,me)|0)+(a>>>13)|0)+(Se>>>26)|0,Se&=67108863,r=Math.imul(B,q),a=(a=Math.imul(B,$))+Math.imul(z,q)|0,i=Math.imul(z,$),r=r+Math.imul(D,H)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(j,H)|0,i=i+Math.imul(j,K)|0,r=r+Math.imul(T,Y)|0,a=(a=a+Math.imul(T,J)|0)+Math.imul(M,Y)|0,i=i+Math.imul(M,J)|0,r=r+Math.imul(C,Q)|0,a=(a=a+Math.imul(C,ee)|0)+Math.imul(P,Q)|0,i=i+Math.imul(P,ee)|0,r=r+Math.imul(O,ne)|0,a=(a=a+Math.imul(O,re)|0)+Math.imul(k,ne)|0,i=i+Math.imul(k,re)|0,r=r+Math.imul(E,ie)|0,a=(a=a+Math.imul(E,oe)|0)+Math.imul(N,ie)|0,i=i+Math.imul(N,oe)|0,r=r+Math.imul(w,ue)|0,a=(a=a+Math.imul(w,le)|0)+Math.imul(x,ue)|0,i=i+Math.imul(x,le)|0,r=r+Math.imul(y,fe)|0,a=(a=a+Math.imul(y,pe)|0)+Math.imul(v,fe)|0,i=i+Math.imul(v,pe)|0;var Oe=(l+(r=r+Math.imul(d,de)|0)|0)+((8191&(a=(a=a+Math.imul(d,me)|0)+Math.imul(m,de)|0))<<13)|0;l=((i=i+Math.imul(m,me)|0)+(a>>>13)|0)+(Oe>>>26)|0,Oe&=67108863,r=Math.imul(B,H),a=(a=Math.imul(B,K))+Math.imul(z,H)|0,i=Math.imul(z,K),r=r+Math.imul(D,Y)|0,a=(a=a+Math.imul(D,J)|0)+Math.imul(j,Y)|0,i=i+Math.imul(j,J)|0,r=r+Math.imul(T,Q)|0,a=(a=a+Math.imul(T,ee)|0)+Math.imul(M,Q)|0,i=i+Math.imul(M,ee)|0,r=r+Math.imul(C,ne)|0,a=(a=a+Math.imul(C,re)|0)+Math.imul(P,ne)|0,i=i+Math.imul(P,re)|0,r=r+Math.imul(O,ie)|0,a=(a=a+Math.imul(O,oe)|0)+Math.imul(k,ie)|0,i=i+Math.imul(k,oe)|0,r=r+Math.imul(E,ue)|0,a=(a=a+Math.imul(E,le)|0)+Math.imul(N,ue)|0,i=i+Math.imul(N,le)|0,r=r+Math.imul(w,fe)|0,a=(a=a+Math.imul(w,pe)|0)+Math.imul(x,fe)|0,i=i+Math.imul(x,pe)|0;var ke=(l+(r=r+Math.imul(y,de)|0)|0)+((8191&(a=(a=a+Math.imul(y,me)|0)+Math.imul(v,de)|0))<<13)|0;l=((i=i+Math.imul(v,me)|0)+(a>>>13)|0)+(ke>>>26)|0,ke&=67108863,r=Math.imul(B,Y),a=(a=Math.imul(B,J))+Math.imul(z,Y)|0,i=Math.imul(z,J),r=r+Math.imul(D,Q)|0,a=(a=a+Math.imul(D,ee)|0)+Math.imul(j,Q)|0,i=i+Math.imul(j,ee)|0,r=r+Math.imul(T,ne)|0,a=(a=a+Math.imul(T,re)|0)+Math.imul(M,ne)|0,i=i+Math.imul(M,re)|0,r=r+Math.imul(C,ie)|0,a=(a=a+Math.imul(C,oe)|0)+Math.imul(P,ie)|0,i=i+Math.imul(P,oe)|0,r=r+Math.imul(O,ue)|0,a=(a=a+Math.imul(O,le)|0)+Math.imul(k,ue)|0,i=i+Math.imul(k,le)|0,r=r+Math.imul(E,fe)|0,a=(a=a+Math.imul(E,pe)|0)+Math.imul(N,fe)|0,i=i+Math.imul(N,pe)|0;var Ie=(l+(r=r+Math.imul(w,de)|0)|0)+((8191&(a=(a=a+Math.imul(w,me)|0)+Math.imul(x,de)|0))<<13)|0;l=((i=i+Math.imul(x,me)|0)+(a>>>13)|0)+(Ie>>>26)|0,Ie&=67108863,r=Math.imul(B,Q),a=(a=Math.imul(B,ee))+Math.imul(z,Q)|0,i=Math.imul(z,ee),r=r+Math.imul(D,ne)|0,a=(a=a+Math.imul(D,re)|0)+Math.imul(j,ne)|0,i=i+Math.imul(j,re)|0,r=r+Math.imul(T,ie)|0,a=(a=a+Math.imul(T,oe)|0)+Math.imul(M,ie)|0,i=i+Math.imul(M,oe)|0,r=r+Math.imul(C,ue)|0,a=(a=a+Math.imul(C,le)|0)+Math.imul(P,ue)|0,i=i+Math.imul(P,le)|0,r=r+Math.imul(O,fe)|0,a=(a=a+Math.imul(O,pe)|0)+Math.imul(k,fe)|0,i=i+Math.imul(k,pe)|0;var Ce=(l+(r=r+Math.imul(E,de)|0)|0)+((8191&(a=(a=a+Math.imul(E,me)|0)+Math.imul(N,de)|0))<<13)|0;l=((i=i+Math.imul(N,me)|0)+(a>>>13)|0)+(Ce>>>26)|0,Ce&=67108863,r=Math.imul(B,ne),a=(a=Math.imul(B,re))+Math.imul(z,ne)|0,i=Math.imul(z,re),r=r+Math.imul(D,ie)|0,a=(a=a+Math.imul(D,oe)|0)+Math.imul(j,ie)|0,i=i+Math.imul(j,oe)|0,r=r+Math.imul(T,ue)|0,a=(a=a+Math.imul(T,le)|0)+Math.imul(M,ue)|0,i=i+Math.imul(M,le)|0,r=r+Math.imul(C,fe)|0,a=(a=a+Math.imul(C,pe)|0)+Math.imul(P,fe)|0,i=i+Math.imul(P,pe)|0;var Pe=(l+(r=r+Math.imul(O,de)|0)|0)+((8191&(a=(a=a+Math.imul(O,me)|0)+Math.imul(k,de)|0))<<13)|0;l=((i=i+Math.imul(k,me)|0)+(a>>>13)|0)+(Pe>>>26)|0,Pe&=67108863,r=Math.imul(B,ie),a=(a=Math.imul(B,oe))+Math.imul(z,ie)|0,i=Math.imul(z,oe),r=r+Math.imul(D,ue)|0,a=(a=a+Math.imul(D,le)|0)+Math.imul(j,ue)|0,i=i+Math.imul(j,le)|0,r=r+Math.imul(T,fe)|0,a=(a=a+Math.imul(T,pe)|0)+Math.imul(M,fe)|0,i=i+Math.imul(M,pe)|0;var Ae=(l+(r=r+Math.imul(C,de)|0)|0)+((8191&(a=(a=a+Math.imul(C,me)|0)+Math.imul(P,de)|0))<<13)|0;l=((i=i+Math.imul(P,me)|0)+(a>>>13)|0)+(Ae>>>26)|0,Ae&=67108863,r=Math.imul(B,ue),a=(a=Math.imul(B,le))+Math.imul(z,ue)|0,i=Math.imul(z,le),r=r+Math.imul(D,fe)|0,a=(a=a+Math.imul(D,pe)|0)+Math.imul(j,fe)|0,i=i+Math.imul(j,pe)|0;var Te=(l+(r=r+Math.imul(T,de)|0)|0)+((8191&(a=(a=a+Math.imul(T,me)|0)+Math.imul(M,de)|0))<<13)|0;l=((i=i+Math.imul(M,me)|0)+(a>>>13)|0)+(Te>>>26)|0,Te&=67108863,r=Math.imul(B,fe),a=(a=Math.imul(B,pe))+Math.imul(z,fe)|0,i=Math.imul(z,pe);var Me=(l+(r=r+Math.imul(D,de)|0)|0)+((8191&(a=(a=a+Math.imul(D,me)|0)+Math.imul(j,de)|0))<<13)|0;l=((i=i+Math.imul(j,me)|0)+(a>>>13)|0)+(Me>>>26)|0,Me&=67108863;var Re=(l+(r=Math.imul(B,de))|0)+((8191&(a=(a=Math.imul(B,me))+Math.imul(z,de)|0))<<13)|0;return l=((i=Math.imul(z,me))+(a>>>13)|0)+(Re>>>26)|0,Re&=67108863,u[0]=ge,u[1]=ye,u[2]=ve,u[3]=be,u[4]=we,u[5]=xe,u[6]=_e,u[7]=Ee,u[8]=Ne,u[9]=Se,u[10]=Oe,u[11]=ke,u[12]=Ie,u[13]=Ce,u[14]=Pe,u[15]=Ae,u[16]=Te,u[17]=Me,u[18]=Re,0!==l&&(u[19]=l,n.length++),n};function d(e,t,n){return(new m).mulp(e,t,n)}function m(e,t){this.x=e,this.y=t}Math.imul||(h=p),i.prototype.mulTo=function(e,t){var n=this.length+e.length;return 10===this.length&&10===e.length?h(this,e,t):n<63?p(this,e,t):n<1024?function(e,t,n){n.negative=t.negative^e.negative,n.length=e.length+t.length;for(var r=0,a=0,i=0;i<n.length-1;i++){var o=a;a=0;for(var s=67108863&r,u=Math.min(i,t.length-1),l=Math.max(0,i-e.length+1);l<=u;l++){var c=i-l,f=(0|e.words[c])*(0|t.words[l]),p=67108863&f;s=67108863&(p=p+s|0),a+=(o=(o=o+(f/67108864|0)|0)+(p>>>26)|0)>>>26,o&=67108863}n.words[i]=s,r=o,o=a}return 0!==r?n.words[i]=r:n.length--,n.strip()}(this,e,t):d(this,e,t)},m.prototype.makeRBT=function(e){for(var t=new Array(e),n=i.prototype._countBits(e)-1,r=0;r<e;r++)t[r]=this.revBin(r,n,e);return t},m.prototype.revBin=function(e,t,n){if(0===e||e===n-1)return e;for(var r=0,a=0;a<t;a++)r|=(1&e)<<t-a-1,e>>=1;return r},m.prototype.permute=function(e,t,n,r,a,i){for(var o=0;o<i;o++)r[o]=t[e[o]],a[o]=n[e[o]]},m.prototype.transform=function(e,t,n,r,a,i){this.permute(i,e,t,n,r,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,u=Math.cos(2*Math.PI/s),l=Math.sin(2*Math.PI/s),c=0;c<a;c+=s)for(var f=u,p=l,h=0;h<o;h++){var d=n[c+h],m=r[c+h],g=n[c+h+o],y=r[c+h+o],v=f*g-p*y;y=f*y+p*g,g=v,n[c+h]=d+g,r[c+h]=m+y,n[c+h+o]=d-g,r[c+h+o]=m-y,h!==s&&(v=u*f-l*p,p=u*p+l*f,f=v)}},m.prototype.guessLen13b=function(e,t){var n=1|Math.max(t,e),r=1&n,a=0;for(n=n/2|0;n;n>>>=1)a++;return 1<<a+1+r},m.prototype.conjugate=function(e,t,n){if(!(n<=1))for(var r=0;r<n/2;r++){var a=e[r];e[r]=e[n-r-1],e[n-r-1]=a,a=t[r],t[r]=-t[n-r-1],t[n-r-1]=-a}},m.prototype.normalize13b=function(e,t){for(var n=0,r=0;r<t/2;r++){var a=8192*Math.round(e[2*r+1]/t)+Math.round(e[2*r]/t)+n;e[r]=67108863&a,n=a<67108864?0:a/67108864|0}return e},m.prototype.convert13b=function(e,t,n,a){for(var i=0,o=0;o<t;o++)i+=0|e[o],n[2*o]=8191&i,i>>>=13,n[2*o+1]=8191&i,i>>>=13;for(o=2*t;o<a;++o)n[o]=0;r(0===i),r(0==(-8192&i))},m.prototype.stub=function(e){for(var t=new Array(e),n=0;n<e;n++)t[n]=0;return t},m.prototype.mulp=function(e,t,n){var r=2*this.guessLen13b(e.length,t.length),a=this.makeRBT(r),i=this.stub(r),o=new Array(r),s=new Array(r),u=new Array(r),l=new Array(r),c=new Array(r),f=new Array(r),p=n.words;p.length=r,this.convert13b(e.words,e.length,o,r),this.convert13b(t.words,t.length,l,r),this.transform(o,i,s,u,r,a),this.transform(l,i,c,f,r,a);for(var h=0;h<r;h++){var d=s[h]*c[h]-u[h]*f[h];u[h]=s[h]*f[h]+u[h]*c[h],s[h]=d}return this.conjugate(s,u,r),this.transform(s,u,p,i,r,a),this.conjugate(p,i,r),this.normalize13b(p,r),n.negative=e.negative^t.negative,n.length=e.length+t.length,n.strip()},i.prototype.mul=function(e){var t=new i(null);return t.words=new Array(this.length+e.length),this.mulTo(e,t)},i.prototype.mulf=function(e){var t=new i(null);return t.words=new Array(this.length+e.length),d(this,e,t)},i.prototype.imul=function(e){return this.clone().mulTo(e,this)},i.prototype.imuln=function(e){r("number"==typeof e),r(e<67108864);for(var t=0,n=0;n<this.length;n++){var a=(0|this.words[n])*e,i=(67108863&a)+(67108863&t);t>>=26,t+=a/67108864|0,t+=i>>>26,this.words[n]=67108863&i}return 0!==t&&(this.words[n]=t,this.length++),this},i.prototype.muln=function(e){return this.clone().imuln(e)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(e){var t=function(e){for(var t=new Array(e.bitLength()),n=0;n<t.length;n++){var r=n/26|0,a=n%26;t[n]=(e.words[r]&1<<a)>>>a}return t}(e);if(0===t.length)return new i(1);for(var n=this,r=0;r<t.length&&0===t[r];r++,n=n.sqr());if(++r<t.length)for(var 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f=0|this.words[l];this.words[l]=c<<26-i|f>>>i,c=f&s}return u&&0!==c&&(u.words[u.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(e,t,n){return r(0===this.negative),this.iushrn(e,t,n)},i.prototype.shln=function(e){return this.clone().ishln(e)},i.prototype.ushln=function(e){return this.clone().iushln(e)},i.prototype.shrn=function(e){return this.clone().ishrn(e)},i.prototype.ushrn=function(e){return this.clone().iushrn(e)},i.prototype.testn=function(e){r("number"==typeof e&&e>=0);var t=e%26,n=(e-t)/26,a=1<<t;return!(this.length<=n||!(this.words[n]&a))},i.prototype.imaskn=function(e){r("number"==typeof e&&e>=0);var t=e%26,n=(e-t)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=n)return this;if(0!==t&&n++,this.length=Math.min(n,this.length),0!==t){var a=67108863^67108863>>>t<<t;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(e){return 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this.clone().iaddn(e)},i.prototype.subn=function(e){return this.clone().isubn(e)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(e,t,n){var a,i,o=e.length+n;this._expand(o);var s=0;for(a=0;a<e.length;a++){i=(0|this.words[a+n])+s;var u=(0|e.words[a])*t;s=((i-=67108863&u)>>26)-(u/67108864|0),this.words[a+n]=67108863&i}for(;a<this.length-n;a++)s=(i=(0|this.words[a+n])+s)>>26,this.words[a+n]=67108863&i;if(0===s)return this.strip();for(r(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(e,t){var n=(this.length,e.length),r=this.clone(),a=e,o=0|a.words[a.length-1];0!=(n=26-this._countBits(o))&&(a=a.ushln(n),r.iushln(n),o=0|a.words[a.length-1]);var s,u=r.length-a.length;if("mod"!==t){(s=new i(null)).length=u+1,s.words=new Array(s.length);for(var l=0;l<s.length;l++)s.words[l]=0}var c=r.clone()._ishlnsubmul(a,1,u);0===c.negative&&(r=c,s&&(s.words[u]=1));for(var f=u-1;f>=0;f--){var p=67108864*(0|r.words[a.length+f])+(0|r.words[a.length+f-1]);for(p=Math.min(p/o|0,67108863),r._ishlnsubmul(a,p,f);0!==r.negative;)p--,r.negative=0,r._ishlnsubmul(a,1,f),r.isZero()||(r.negative^=1);s&&(s.words[f]=p)}return s&&s.strip(),r.strip(),"div"!==t&&0!==n&&r.iushrn(n),{div:s||null,mod:r}},i.prototype.divmod=function(e,t,n){return r(!e.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===e.negative?(s=this.neg().divmod(e,t),"mod"!==t&&(a=s.div.neg()),"div"!==t&&(o=s.mod.neg(),n&&0!==o.negative&&o.iadd(e)),{div:a,mod:o}):0===this.negative&&0!==e.negative?(s=this.divmod(e.neg(),t),"mod"!==t&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&e.negative)?(s=this.neg().divmod(e.neg(),t),"div"!==t&&(o=s.mod.neg(),n&&0!==o.negative&&o.isub(e)),{div:s.div,mod:o}):e.length>this.length||this.cmp(e)<0?{div:new i(0),mod:this}:1===e.length?"div"===t?{div:this.divn(e.words[0]),mod:null}:"mod"===t?{div:null,mod:new i(this.modn(e.words[0]))}:{div:this.divn(e.words[0]),mod:new i(this.modn(e.words[0]))}:this._wordDiv(e,t);var a,o,s},i.prototype.div=function(e){return this.divmod(e,"div",!1).div},i.prototype.mod=function(e){return this.divmod(e,"mod",!1).mod},i.prototype.umod=function(e){return this.divmod(e,"mod",!0).mod},i.prototype.divRound=function(e){var t=this.divmod(e);if(t.mod.isZero())return t.div;var n=0!==t.div.negative?t.mod.isub(e):t.mod,r=e.ushrn(1),a=e.andln(1),i=n.cmp(r);return i<0||1===a&&0===i?t.div:0!==t.div.negative?t.div.isubn(1):t.div.iaddn(1)},i.prototype.modn=function(e){r(e<=67108863);for(var t=(1<<26)%e,n=0,a=this.length-1;a>=0;a--)n=(t*n+(0|this.words[a]))%e;return n},i.prototype.idivn=function(e){r(e<=67108863);for(var t=0,n=this.length-1;n>=0;n--){var a=(0|this.words[n])+67108864*t;this.words[n]=a/e|0,t=a%e}return this.strip()},i.prototype.divn=function(e){return this.clone().idivn(e)},i.prototype.egcd=function(e){r(0===e.negative),r(!e.isZero());var t=this,n=e.clone();t=0!==t.negative?t.umod(e):t.clone();for(var a=new i(1),o=new i(0),s=new i(0),u=new i(1),l=0;t.isEven()&&n.isEven();)t.iushrn(1),n.iushrn(1),++l;for(var c=n.clone(),f=t.clone();!t.isZero();){for(var p=0,h=1;0==(t.words[0]&h)&&p<26;++p,h<<=1);if(p>0)for(t.iushrn(p);p-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(c),o.isub(f)),a.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(n.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(n.iushrn(d);d-- >0;)(s.isOdd()||u.isOdd())&&(s.iadd(c),u.isub(f)),s.iushrn(1),u.iushrn(1);t.cmp(n)>=0?(t.isub(n),a.isub(s),o.isub(u)):(n.isub(t),s.isub(a),u.isub(o))}return{a:s,b:u,gcd:n.iushln(l)}},i.prototype._invmp=function(e){r(0===e.negative),r(!e.isZero());var t=this,n=e.clone();t=0!==t.negative?t.umod(e):t.clone();for(var a,o=new i(1),s=new i(0),u=n.clone();t.cmpn(1)>0&&n.cmpn(1)>0;){for(var l=0,c=1;0==(t.words[0]&c)&&l<26;++l,c<<=1);if(l>0)for(t.iushrn(l);l-- 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this._expand(n+1),this.words[n]|=a,this;for(var i=a,o=n;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(e){var t,n=e<0;if(0!==this.negative&&!n)return-1;if(0===this.negative&&n)return 1;if(this.strip(),this.length>1)t=1;else{n&&(e=-e),r(e<=67108863,"Number is too big");var a=0|this.words[0];t=a===e?0:a<e?-1:1}return 0!==this.negative?0|-t:t},i.prototype.cmp=function(e){if(0!==this.negative&&0===e.negative)return-1;if(0===this.negative&&0!==e.negative)return 1;var t=this.ucmp(e);return 0!==this.negative?0|-t:t},i.prototype.ucmp=function(e){if(this.length>e.length)return 1;if(this.length<e.length)return-1;for(var t=0,n=this.length-1;n>=0;n--){var r=0|this.words[n],a=0|e.words[n];if(r!==a){r<a?t=-1:r>a&&(t=1);break}}return t},i.prototype.gtn=function(e){return 1===this.cmpn(e)},i.prototype.gt=function(e){return 1===this.cmp(e)},i.prototype.gten=function(e){return this.cmpn(e)>=0},i.prototype.gte=function(e){return this.cmp(e)>=0},i.prototype.ltn=function(e){return-1===this.cmpn(e)},i.prototype.lt=function(e){return-1===this.cmp(e)},i.prototype.lten=function(e){return this.cmpn(e)<=0},i.prototype.lte=function(e){return this.cmp(e)<=0},i.prototype.eqn=function(e){return 0===this.cmpn(e)},i.prototype.eq=function(e){return 0===this.cmp(e)},i.red=function(e){return new _(e)},i.prototype.toRed=function(e){return r(!this.red,"Already a number in reduction context"),r(0===this.negative,"red works only with positives"),e.convertTo(this)._forceRed(e)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(e){return this.red=e,this},i.prototype.forceRed=function(e){return r(!this.red,"Already a number in reduction 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Input received: "+e);for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+a.ndim+", found ndim="+i);if(null!=a.maxNDim&&i>a.maxNDim)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+a.maxNDim+", found ndim="+i);if(null!=a.minNDim&&i<a.minNDim)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+a.minNDim+", found ndim="+i+".");if(null!=a.dtype&&r.dtype!==a.dtype)throw new w("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+a.dtype+", found dtype="+r.dtype+".");if(a.axes){var o=r.shape;for(var s in a.axes){var u=Number(s),l=a.axes[s],c=u>=0?o[u]:o[o.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new w("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+o+".")}}if(null!=a.shape)for(var f=0;f<a.shape.length;++f){var p=a.shape[f],h=r.shape[f];if(null!=p&&null!=h&&p!==h)throw new w("Input "+n+" is incompatible with layer "+this.name+": expected shape="+a.shape+", found shape=${xShape}.")}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r=k(e),a=!0,i=0,o=r;i<o.length;i++)if(!(o[i]instanceof ot)){a=!1;break}for(var s=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof ot){s=!1;break}if(a===s)throw new w("Arguments to apply() must be all SymbolicTensors or all Tensors");return re(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var a=[],i=0,o=k(e);i<o.length;i++){var u=o[i];a.push(u.shape)}n.build(O(a)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(e),s){for(var l=[],c=0,f=k(m=n.call(e,t));c<f.length;c++){var p=f[c];-1!==r.indexOf(p)&&(p=p.clone()),l.push(p)}if(m=O(l),null!=n.activityRegularizer)throw new x("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var h=function(e){for(var t=[],n=0,r=e=k(e);n<r.length;n++){var a=r[n];t.push(a.shape)}return O(t)}(e),d=n.computeOutputShape(h),m=void 0,g="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?h[0]:h),m=null!=d&&d.length>0&&Array.isArray(d[0])?d.map(function(r,a){return new ot(g,r,n,k(e),t,n.name,a)}):new ot(g,d,n,k(e),t,n.name),n.addInboundNode(e,m,null,null,h,d,t),n._refCount++,null!=n.activityRegularizer)throw new x("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},t.prototype.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(e)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var t=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)}),t&&console.warn("The shape of the input tensor ("+JSON.stringify(e)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(t.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new v("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],a=JSON.stringify(r.outputShapes);-1===e.indexOf(a)&&e.push(a)}if(1===e.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new v("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new b("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return et(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),rt(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;Object(r.od)(function(){var n=t.weights;if(n.length!==e.length)throw new w('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. 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4:return[2]}})})},e.prototype.onBatchEnd=function(e,t){return s(this,void 0,void 0,function(){var n,r;return u(this,function(a){switch(a.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,a.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,4];case 2:a.sent(),a.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onTrainBegin=function(e){return s(this,void 0,void 0,function(){var t,n;return u(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e.prototype.onTrainEnd=function(e){return s(this,void 0,void 0,function(){var t,n;return u(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainEnd(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e}(),gt=function(){function e(e){this.yieldEvery=e,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=r.yd.now()}return e.prototype.resolveOneTensorInLogs=function(e){return s(this,void 0,void 0,function(){var t,n,r,a,i;return u(this,function(o){switch(o.label){case 0:for(n in t=[],e)t.push(n);r=0,o.label=1;case 1:return r<t.length?(a=t[r],"number"==typeof(i=e[a])?[3,3]:[4,i.data()]):[3,4];case 2:return o.sent(),[3,4];case 3:return r++,[3,1];case 4:return[2]}})})},e.prototype.maybeYieldOnBatch=function(t){return s(this,void 0,void 0,function(){var n,a;return u(this,function(i){switch(i.label){case 0:return"auto"!==this.yieldEvery?[3,7]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,3]:[4,this.resolveOneTensorInLogs(t)]);case 1:return i.sent(),n=r.yd.now(),[4,Object(r.Tb)()];case 2:return i.sent(),this.batchCount>e.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(n-this.batchStartMillis),this.batchDurationsMillis.length>=e.DECISION_BATCH_COUNT&&(a=this.batchDurationsMillis.reduce(function(e,t){return e+t})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(e.THRESHOLD_MILLIS/a),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=r.yd.now(),this.lastYieldBatchCount=this.batchCount,[3,6];case 3:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,Object(r.Tb)()]:[3,6];case 4:return i.sent(),[4,this.resolveOneTensorInLogs(t)];case 5:i.sent(),this.lastYieldBatchCount=this.batchCount,i.label=6;case 6:return[3,9];case 7:return"batch"!==this.yieldEvery?[3,9]:[4,Object(r.Tb)()];case 8:i.sent(),i.label=9;case 9:return[2]}})})},e.prototype.maybeYieldOnEpoch=function(){return s(this,void 0,void 0,function(){return u(this,function(e){switch(e.label){case 0:return"epoch"!==this.yieldEvery?[3,2]:[4,Object(r.Tb)()];case 1:e.sent(),e.label=2;case 2:return[2]}})})},e.SKIP_FIRST_BATCHES=1,e.DECISION_BATCH_COUNT=2,e.THRESHOLD_MILLIS=16,e}(),yt=function(e){function t(t){var n=e.call(this)||this;return n.yieldEvery=t||"auto",n}return i(t,e),t.prototype.onTrainBegin=function(e){return s(this,void 0,void 0,function(){return u(this,function(e){return this.autoYielder=new gt(this.yieldEvery),[2]})})},t.prototype.onEpochBegin=function(e){return s(this,void 0,void 0,function(){return u(this,function(e){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,t){return s(this,void 0,void 0,function(){var e,n,a,i,o=this;return u(this,function(s){switch(s.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(t)];case 1:for(i in s.sent(),null==t&&(t={}),e=null==t.size?0:t.size,this.seen+=e,n=function(n){var i=t[n];if("number"==typeof i)a.totals.hasOwnProperty(n)||(a.totals[n]=0),a.totals[n]=a.totals[n]+i*e;else{var s=void 0;n in 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Use Model.compile(modelCompileConfig).");for(var i=[],o=0;o<this.feedOutputShapes.length;++o){var s=this.feedOutputShapes[o];this.feedLossFns[o]===At?i.push(s.slice(0,s.length-1).concat([1])):i.push(s)}if(function(e,t,n){var a=R(e.map(function(e){return e.shape[0]}));a.sort();var i=R(t.map(function(e){return e.shape[0]}));if(i.sort(),a.length>1)throw new w("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new w("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(e){return e.shape})));if(a.length>0&&i.length>0&&!r.yd.arraysEqual(a,i))throw new w("Input Tensors should have the same number of samples as target Tensors. 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'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var f=u[c],p=l[c];if(null!=p&&f!==p)throw new w("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=a&&a>0&&e[0].shape[0]%a!=0)throw new w("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+a+". Found: "+e[0].shape[0]+" sample(s).");return[e,t,null]},t.prototype.fitLoop=function(e,t,n,a,i,o,l,c,f,p,h,d,m,g,y){return s(this,void 0,void 0,function(){var s,v,b,_,E,N,S,O,k=this;return u(this,function(I){switch(I.label){case 0:if(null==a&&(a=32),null==i&&(i=1),null==p&&(p=!0),null==d&&(d=0),s=!1,null!=c&&null!=f&&(s=!0),null!=g&&(s=!0,null==m))throw new w("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return null!=(v=this.checkNumSamples(t,a,m,"steps_per_epoch"))&&(b=he(0,v)),null==o&&(o=1),this.history=new vt,_=[new yt(y)].concat(wt.createCallbacks(o)),null!=l&&_.push.apply(_,l),_.push(this.history),(E=new mt(_)).setModel(this),E.setParams({epochs:i,initialEpoch:d,samples:v,steps:m,batchSize:a,verbose:o,doValidation:s,metrics:h}),[4,E.onTrainBegin()];case 1:I.sent(),this.stopTraining_=!1,N=function(i){var o,l,h,d,g;return u(this,function(y){switch(y.label){case 0:return[4,E.onEpochBegin(i)];case 1:if(y.sent(),o={},null==m)return[3,2];throw new x("stepsPerEpoch mode is not implemented yet.");case 2:if("batch"===p)throw new x("batch shuffling is not implemneted yet");p&&r.yd.shuffle(b),l=Object(r.hd)(b),h=dn(v,a),d=function(i){var p;return u(this,function(u){switch(u.label){case 0:return p={},[4,E.onBatchBegin(i,p)];case 1:return u.sent(),Object(r.od)(function(){var u=h[i][0],d=h[i][1],m=ge(l,u,d-u);p.batch=i,p.size=d-u;for(var g=gn(t,m),y=e(g),v=0;v<n.length;++v){var b=n[v],w=y[v];p[b]=w,Object(r.ib)(w)}if(i===h.length-1&&s){var x=k.testLoop(c,f,a);for(v=0;v<n.length;++v)b=n[v],w=x[v],Object(r.ib)(w),o["val_"+b]=w}}),[4,E.onBatchEnd(i,p)];case 2:return u.sent(),function(e){if(null!=e)for(var t in e){var n=e[t];"number"!=typeof n&&n.dispose()}}(p),S.stopTraining_?[2,"break"]:[2]}})},g=0,y.label=3;case 3:return g<h.length?[5,d(g)]:[3,6];case 4:if("break"===y.sent())return[3,6];y.label=5;case 5:return++g,[3,3];case 6:l.dispose(),y.label=7;case 7:return[4,E.onEpochEnd(i,o)];case 8:return y.sent(),S.stopTraining_?[2,"break"]:[2]}})},S=this,O=d,I.label=2;case 2:return O<i?[5,N(O)]:[3,5];case 3:if("break"===I.sent())return[3,5];I.label=4;case 4:return++O,[3,2];case 5:return[4,E.onTrainEnd()];case 6:return I.sent(),[4,this.history.syncData()];case 7:return I.sent(),[2,this.history]}})})},t.prototype.testLoop=function(e,t,n,a,i){var o=this;return void 0===a&&(a=0),Object(r.od)(function(){var s=o.checkNumSamples(t,n,i,"steps"),u=[];if(1===a)throw new x("Verbose mode is not implemented yet.");if(null!=i)throw new x("steps mode in testLoop() is not implemented yet");for(var l=dn(s,n),c=Object(r.hd)(he(0,s)),f=0;f<l.length;++f){var p=l[f][0],h=l[f][1],d=ge(c,p,h-p),m=gn(t,d),g=e(m);if(0===f)for(var v=0;v<g.length;++v)u.push(y(0));for(v=0;v<g.length;++v){var b=g[v];u[v]=Object(r.s)(u[v],Object(r.Ob)(y(h-p),b))}}for(v=0;v<u.length;++v)u[v]=Object(r.Ha)(u[v],y(s));return u})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;S(e,r)>1&&(a+="_"+S(e.slice(0,n),r)),t.push(a)}return t},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return Object(r.od)(function(){for(var n,a=[],i=t.slice(0,e.inputs.length),o=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),s=[],u=0;u<e.inputs.length;++u)s.push({key:e.inputs[u],value:i[u]});var l=new un(s),c=ln(e.outputs,l);for(u=0;u<e.lossFunctions.length;++u){var f=e.lossFunctions[u],p=Object(r.Fb)(f(o[u],c[u]));n=0===u?p:Object(r.s)(n,p),a.push(n)}for(u=0;u<e.metricsTensors.length;++u){var h=e.metricsTensors[u][0],d=e.metricsTensors[u][1],m=Object(r.Fb)(h(o[d],c[d]));a.push(m)}return a})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),s(this,void 0,void 0,function(){var a,i,o,s,l,c,f,p,h,d,m,g,y,v,b,_,E,N,S,O=this;return u(this,function(u){switch(u.label){case 0:if(this.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");this.isTraining=!0,u.label=1;case 1:if(u.trys.push([1,,3,4]),vn(a=null==n.batchSize?32:n.batchSize),i=this.standardizeUserData(e,t,!1,a),o=i[0],s=i[1],l=!1,c=void 0,f=void 0,p=void 0,h=!1,null!=n.validationData&&n.validationData.length>0){if(l=!0,2!==n.validationData.length)throw 3===n.validationData.length?new x("validationData including sample weights is not supported yet."):new w("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+n.validationData+" is invalid.");c=n.validationData[0],f=n.validationData[1],d=this.standardizeUserData(c,f,!0,a),c=d[0],f=d[1],p=c.concat(f)}else null!=n.validationSplit&&n.validationSplit>0&&n.validationSplit<1?(l=!0,m=Math.floor(o[0].shape[0]*(1-n.validationSplit)),g=o[0].shape[0],c=mn(o,m,g),o=mn(o,0,m),f=mn(s,m,g),s=mn(s,0,m),h=!0,p=c.concat(f)):null!=n.validationSteps&&(l=!0);return y=o.concat(s),this.checkTrainableWeightsConsistency(),v=function(e){var t=e.slice(0,O.inputs.length),n=e.slice(O.inputs.length,O.inputs.length+O.outputs.length),a=[],i=O.collectedTrainableWeights.map(function(e){return e.read()});return[O.optimizer.minimize(function(){for(var e=[],i=0;i<O.inputs.length;++i)e.push({key:O.inputs[i],value:t[i]});var o,s=new un(e),u=ln(O.outputs,s,{training:!0});for(i=0;i<O.lossFunctions.length;++i){var l=(0,O.lossFunctions[i])(n[i],u[i]);Object(r.Fb)(l),o=0===i?l:Object(r.s)(o,l)}for(i=0;i<O.metricsTensors.length;++i){var c=O.metricsTensors[i][0],f=O.metricsTensors[i][1],p=Object(r.Fb)(c(n[f],u[f]));Object(r.ib)(p),a.push(p)}return o=Object(r.Fb)(o),O.calculateLosses().forEach(function(e){o=Object(r.s)(o,e)}),o},!0,i)].concat(a)},b=this.getDedupedMetricsNames(),_=void 0,E=void 0,l?(this.makeTestFunction(),_=this.testFunction,E=b.slice().concat(b.map(function(e){return"val_"+e}))):(_=null,p=[],E=b.slice()),N=function(e){return null==e?null:e instanceof dt?[e]:Array.isArray(e)&&e[0]instanceof dt?e:k(e).map(function(e){return new bt(e)})}(n.callbacks),[4,this.fitLoop(v,y,b,a,n.epochs,n.verbose,N,_,p,n.shuffle,E,n.initialEpoch,null,null,n.yieldEvery)];case 2:return S=u.sent(),h&&(p.forEach(function(e){return e.dispose()}),o.forEach(function(e){return e.dispose()}),s.forEach(function(e){return e.dispose()})),this.isTraining=!1,[2,S];case 3:return this.isTraining=!1,[7];case 4:return[2]}})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||(t[r[i].originalName]=a[i]);return t},Object.defineProperty(t.prototype,"stopTraining",{set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),t.prototype.save=function(e,t){return s(this,void 0,void 0,function(){var n,a,i,o,s;return u(this,function(u){switch(u.label){case 0:if("string"==typeof e){if(0===(n=r.hb.getSaveHandlers(e)).length)throw new w("Cannot find any save handlers for URL '"+e+"'");if(n.length>1)throw new w("Found more than one ("+n.length+") save handlers for URL '"+e+"'");e=n[0]}if(null==e.save)throw new w("Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,r.hb.encodeWeights(this.getNamedWeights(t))];case 1:return a=u.sent(),i=!1,o=null,s=this.toJSON(o,i),[2,e.save({modelTopology:s,weightData:a.data,weightSpecs:a.specs})]}})})},t.className="Model",t}(sn);r.Ec.registerClass(bn);var wn=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:d("sequential_"),null!=t.layers)for(var r=0,a=t.layers;r<a.length;r++){var i=a[r];n.add(i)}return n}return i(t,e),t.prototype.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some(function(e){return e<0}))throw new w("Negative dimension size caused by adding layer "+e.name+" with input shape ["+e.inboundNodes[0].inputTensors[0].shape+"]")},t.prototype.add=function(e){var n,r=e instanceof t||e instanceof bn;if(r){if(1!==(n=e).outputs.length)throw new w("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new w("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new w("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=pt({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new w("A layer added to a Sequential model must not already be connected somewhere else. Model received layer "+e.name+" which has "+e.inboundNodes.length+" pre-existing inbound connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new w("All layers in a Sequential model should have a single output tensor. 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Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e}function Qn(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(i="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function er(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+pe([n-t,0]);else{if("same"!==r)throw new w("Unsupport padding mode: "+r+".");e*=t}return e}function tr(e,t){return Object(r.od)(function(){return J(t),"channelsFirst"===t?Object(r.ud)(e,[0,2,3,1]):e})}var nr=function(e){function t(n,r){var a=e.call(this,r)||this;if(a.bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyConfig(r),a.rank=n,1!==a.rank&&2!==a.rank)throw new x("Convolution layer for rank other than 1 or 2 ("+a.rank+") is not implemented yet.");if(a.kernelSize=Zn(r.kernelSize,n,"kernelSize"),a.strides=Zn(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,Q(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,J(a.dataFormat),a.activation=Fn(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Ke(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=H(r.biasConstraint),a.biasRegularizer=Jn(r.biasRegularizer),a.activityRegularizer=Jn(r.activityRegularizer),a.dilationRate=Zn(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new w("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new w("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate));return a}return i(t,e),t.verifyConfig=function(e){if(N("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,2))throw new w("BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Bn(this.activation),useBias:this.useBias,biasInitializer:He(this.biasInitializer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),rr=function(e){function t(n,r){var a=e.call(this,n,r)||this;return a.kernel=null,t.verifyConfig(r),a.filters=r.filters,a.kernelInitializer=Ke(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=H(r.kernelConstraint),a.kernelRegularizer=Jn(r.kernelRegularizer),a}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new w("The channel dimension of the input should be defined. 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Found `None`.");var n,r=e[t],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new it({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e);if(4!==t.shape.length)throw new w("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(a=2,i=3):(a=1,i=2);var u=o[a],l=o[i],c=n.kernelSize[0],f=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[s,er(u,p,c,n.padding),er(l,h,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=Object(r.ud)(t,[0,2,3,1]));var m=Object(r.Y)(t,n.kernel.read(),d,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(m=Object(r.ud)(m,[0,3,1,2])),null!=n.bias&&(m=Oe(m,n.bias.read(),n.dataFormat)),null!=n.activation&&(m=n.activation.apply(m)),m})},t.prototype.computeOutputShape=function(e){var t,n,r,a=(e=Qe(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=er(a[n],s,i,this.padding),a[r]=er(a[r],u,o,this.padding),a},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className="Conv2DTranspose",t}(ar);r.Ec.registerClass(ir);var or=function(e){function t(t){return e.call(this,2,t)||this}return i(t,e),t.className="SeparableConv2D",t}(function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new w("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new w("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new w("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=Jn(n.depthwiseRegularizer),r.depthwiseConstraint=H(n.depthwiseConstraint),r.pointwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=Jn(n.pointwiseRegularizer),r.pointwiseConstraint=H(n.pointwiseConstraint),r}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<this.rank+2)throw new w("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var t,n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new w("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new it({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t;if(e=Ze(e),1===n.rank)throw new x("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=Object(r.ud)(e,[0,2,3,1])),t=Object(r.Dc)(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=Object(r.ud)(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=He(this.depthwiseInitializer),t.pointwiseInitializer=He(this.pointwiseInitializer),t.depthwiseRegularizer=Xn(this.depthwiseRegularizer),t.pointwiseRegularizer=Xn(this.pointwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseConstraint),t.pointwiseConstraint=$(this.pointwiseConstraint),t},t.className="SeparableConv",t}(rr));r.Ec.registerClass(or);var sr=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return i(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if("number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,1))throw new w("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv1D",t}(rr);r.Ec.registerClass(sr);var ur=function(e){function t(t){var n=e.call(this,t)||this;return"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return e=Ze(e),"channelsLast"===n.dataFormat?ve(ve(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):ve(ve(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Cropping2D",t}(ct);r.Ec.registerClass(ur);var lr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,n}return i(t,e),t.prototype.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}return t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2],[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e),a=t.shape;if("channelsFirst"===n.dataFormat){t=Object(r.ud)(t,[0,2,3,1]);var i=n.size[0]*a[2],o=n.size[1]*a[3],s=t.resizeNearestNeighbor([i,o]);return Object(r.ud)(s,[0,3,1,2])}return i=n.size[0]*a[1],o=n.size[1]*a[2],t.resizeNearestNeighbor([i,o])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="UpSampling2D",t}(ct);r.Ec.registerClass(lr);var cr=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=Ke(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=H(t.depthwiseConstraint),n.depthwiseRegularizer=Jn(t.depthwiseRegularizer),n}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<4)throw new w("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new w("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=function(e,t,n,a,i,o){return void 0===n&&(n=[1,1]),void 0===a&&(a="valid"),Object(r.od)(function(){null==i&&(i="channelsLast"),J(i);var o=tr(e,i);if(4!==e.rank)throw new w("Input for depthwiseConv2d is required to be 4-D, but is instead "+e.rank+"-D");if(4!==t.rank)throw new w("depthwiseKernel is required to be 4-D, but is instead "+t.rank+"-D");return o=Object(r.Ea)(o,t,n,"same"===a?"same":"valid","NHWC",null),"channelsFirst"===i&&(o=Object(r.ud)(o,[0,3,1,2])),o})}(e=Ze(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat);return n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=Qn(t,this.kernelSize[0],this.padding,this.strides[0]),i=Qn(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=He(this.depthwiseInitializer),t.depthwiseRegularizer=Xn(this.depthwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseRegularizer),t},t.className="DepthwiseConv2D",t}(nr);r.Ec.registerClass(cr);var fr=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=y(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new x("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return i(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var a=Ze(e);if(null!=n.noiseShape&&!r.yd.arraysEqual(a.shape,n.noiseShape))throw new x("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,o=n.getNoiseShape(a);return Ie(function(){return ke(a,n.rateScalar,o,n.seed)},function(){return a},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dropout",t}(ct);r.Ec.registerClass(fr);var pr=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=Fn(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=H(t.kernelConstraint),n.biasConstraint=H(t.biasConstraint),n.kernelRegularizer=Jn(t.kernelRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.activityRegularizer=Jn(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return i(t,e),t.prototype.build=function(e){var t,n=(e=Qe(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ee(Ze(e),n.kernel.read());return null!=n.bias&&(r=Oe(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dense",t}(ct);r.Ec.registerClass(pr);var hr=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return i(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=Qe(e)).slice(1);t<n.length;t++)if(null==n[t])throw new w('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[e[0],le(e,1)]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return n.invokeCallHook(e,t),function(e){if(e.rank<=1)throw new w("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],le(e.shape,1)];return e.reshape(t)}(Ze(e))})},t.className="Flatten",t}(ct);r.Ec.registerClass(hr);var dr=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=Fn(t.activation),n}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ze(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:Bn(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Activation",t}(ct);r.Ec.registerClass(dr);var mr=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return function(e,t){return Object(r.od)(function(){if(2!==e.shape.length)throw new w("repeat() expects a rank-2 tensor, but received a rank-"+e.shape.length+" tensor.");return xe(me(e,1),[1,t,1])})}(e=Ze(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="RepeatVector",t}(ct);r.Ec.registerClass(mr);var gr=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return i(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new w("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=le(e);if(null!==i){if(0===a||u%a!=0)throw new w(n);r[i]=u/a}else if(u!==a)throw new w(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ze(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Reshape",t}(ct);r.Ec.registerClass(gr);var yr=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var a=he(1,t.dims.length+1);if(!r.yd.arraysEqual(t.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new it({ndim:n.dims.length+1})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return Object(r.ud)(Ze(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Permute",t}(ct);r.Ec.registerClass(yr);var vr=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(k(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=Ke(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=Jn(t.embeddingsRegularizer),n.activityRegularizer=Jn(t.activityRegularizer),n.embeddingsConstraint=H(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return i(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Embedding yet")},t.prototype.computeOutputShape=function(e){if(e=Qe(e),null==this.inputLength)return e.concat([this.outputDim]);var t=k(this.inputLength);if(t.length!==e.length-1)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t);var r=Ze(e);return"int32"!==r.dtype&&(r=de(r,"int32")),Ne(n.embeddings.read(),r.as1D()).reshape(Qe(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:He(this.embeddingsInitializer),embeddingsRegularizer:Xn(this.embeddingsRegularizer),activityRegularizer:Xn(this.activityRegularizer),embeddingsConstraint:$(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Embedding",t}(ct);r.Ec.registerClass(vr);var br=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return i(t,e),t.prototype.mergeFunction=function(e){throw new x},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new w("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Qe(e)]),(e=e).length<2)throw new w("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t=[],n=0,r=e;n<r.length;n++)null!=(o=r[n])&&null!==o[0]&&t.push(o[0]);if((t=R(t)).length>1)throw new w("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var a=null==e[0]?null:e[0].slice(1),i=1;i<e.length;++i){var o=null==e[i]?null:e[i].slice(1);a=this.computeElementwiseOpOutputShape(a,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===R(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){if(e=e,n.reshapeRequired){var t=[],a=e.map(function(e){return e.rank});if(-1===a.indexOf(null)){for(var i=pe(a),o=0,s=e;o<s.length;o++){for(var u=(h=s[o]).rank,l=0;l<i-u;++l)h=me(h,1);t.push(h)}return n.mergeFunction(t)}for(var c=!1,f=0,p=e;f<p.length;f++){var h;if(null==(u=(h=p[f]).rank)){var d=h.shape,m=d[0],g=d.slice(1).concat([m]),y=h.reshape([m].concat(le(d.slice(1))));y=(y=Object(r.ud)(y,[1,0])).reshape(g),t.push(y),c=!0}else if(u>1){var v=he(1,u).concat([0]);t.push(Object(r.ud)(h,v)),c=!0}else t.push(h)}var b=n.mergeFunction(t),w=b.rank;if(c)if(null==w){var x=b.shape;g=[m=x[x.length-1]].concat(x.slice(0,x.length-1)),b=Object(r.ud)(b.reshape([-1,m]),[1,0]).reshape(g)}else w>1&&(v=[w-1].concat(he(0,w-1)),b=Object(r.ud)(b,v));return b}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a=[],i=0,o=e;i<o.length;i++)null!=(r=o[i])&&null!==r[0]&&a.push(r[0]);return 1===(a=R(a)).length?a.concat(t):[null].concat(t)},t}(ct),wr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.s)(t,e[n]);return t})},t.className="Add",t}(br);r.Ec.registerClass(wr);var xr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.Ob)(t,e[n]);return t})},t.className="Multiply",t}(br);r.Ec.registerClass(xr);var _r=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.s)(t,e[n]);return Object(r.Ob)(y(1/e.length),t)})},t.className="Average",t}(br);r.Ec.registerClass(_r);var Er=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.Db)(t,e[n]);return t})},t.className="Maximum",t}(br);r.Ec.registerClass(Er);var Nr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.od)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.Ib)(t,e[n]);return t})},t.className="Minimum",t}(br);r.Ec.registerClass(Nr);var Sr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return i(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new w("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t=!0,n=0,a=e=e;n<a.length;n++)if(null!=(f=a[n])){t=!1;break}if(!t){for(var i=[],o=0;o<e.length;++o){var s=e[o].slice();s.splice(this.axis,1);for(var u=!1,l=0,c=i;l<c.length;l++){var f=c[l];if(r.yd.arraysEqual(f,s)){u=!0;break}}u||i.push(s)}if(i.length>1)throw new w("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return Object(r.od)(function(){return be(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new w("A `Concatenate` layer should be called on a list of inputs.");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,a=0,i=t.slice(1);a<i.length;a++){var o=i[a];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Concatenate",t}(br);function Or(e,t,n,a,i,o){var s;if(void 0===o&&(o=.001),2===e.rank)s=Object(r.H)(e,t,n,o,i,a);else if(3===e.rank)s=Object(r.I)(e,t,n,o,i,a);else{if(4!==e.rank)throw new x("batchNormalization is not implememnted for array of rank "+e.rank+" yet");s=Object(r.J)(e,t,n,o,i,a)}return s}r.Ec.registerClass(Sr);var kr=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=Ke(t.betaInitializer||"zeros"),n.gammaInitializer=Ke(t.gammaInitializer||"ones"),n.movingMeanInitializer=Ke(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Ke(t.movingVarianceInitializer||"ones"),n.betaConstraint=H(t.betaConstraint),n.gammaConstraint=H(t.gammaConstraint),n.betaRegularizer=Jn(t.betaRegularizer),n.gammaRegularizer=Jn(t.gammaRegularizer),n.stepCount=0,n}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new w("Axis "+t+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new it({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var a=null!=t.training&&t.training,i=Ze(e),o=i.shape,s=o.length,u=he(0,s),l=n.axis>=0?n.axis:n.axis+s;u.splice(l,1);var c=E(1,s);c[l]=o[l];var f=u.slice();f.sort();var p=!r.yd.arraysEqual(f,he(0,s).slice(0,s-1));if(!a)return function(){if(p){var e=n.movingMean.read().reshape(c),t=n.movingVariance.read().reshape(c),r=n.center?n.beta.read().reshape(c):null,a=n.scale?n.gamma.read().reshape(c):null;return Or(i,e,t,r,a,n.epsilon)}return Or(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(e,t,n,a,i){return void 0===i&&(i=.001),r.yd.arraysEqual(a.slice().sort(),he(0,e.rank-1))?function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.od)(function(){var o=Object(r.Mb)(e,a),s=o.mean,u=o.variance;return[Or(e,s,u,n,t,i),s,u]})}(e,t,n,a,i):function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.od)(function(){for(var o=Object(r.Mb)(e,a),s=o.mean,u=o.variance,l=[],c=0,f=he(0,e.rank);c<f.length;c++){var p=f[c];-1!==a.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=s.reshape(l),d=u.reshape(l),m=null==t?null:t.reshape(l),g=null==n?null:n.reshape(l);return[Or(e,h,d,g,m,i),s,u]})}(e,t,n,a,i)}(i,n.gamma.read(),n.beta.read(),u,n.epsilon),d=h[0],m=h[1],g=h[2],v=le(u.map(function(e){return i.shape[e]})),b=g.mul(y(v/(v-(1+n.epsilon))));return function(){n.stepCount++;var e=Object(r.Nb)(n.movingMean.read(),m,n.momentum,n.stepCount);n.movingMean.write(e);var t=Object(r.Nb)(n.movingVariance.read(),b,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:He(this.betaInitializer),gammaInitializer:He(this.gammaInitializer),movingMeanInitializer:He(this.movingMeanInitializer),movingVarianceInitializer:He(this.movingVarianceInitializer),betaRegularizer:Xn(this.betaRegularizer),gammaRegularizer:Xn(this.gammaRegularizer),betaConstraint:$(this.betaConstraint),gammaConstraint:$(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="BatchNormalization",t}(ct);r.Ec.registerClass(kr);var Ir=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new w("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r=void 0,a=void 0;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new w("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new w("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new it({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=Qe(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return function(e,t,n){return Object(r.od)(function(){if(4!==e.rank)throw new w("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new w("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new w("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var a;return a="channelsFirst"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],Object(r.cc)(e,a)})}(Ze(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ZeroPadding2D",t}(ct);function Cr(e,t,n,a,i,o){return Object(r.od)(function(){var s;J(i),j(ee,"PoolMode",o),Q(a),null==n&&(n=[1,1]),null==a&&(a="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),e=tr(e,i);var u="same"===a?"same":"valid";return s="max"===o?Object(r.Cb)(e,t,n,u):Object(r.E)(e,t,n,u),"channelsFirst"===i&&(s=Object(r.ud)(s,[0,3,1,2])),s})}r.Ec.registerClass(Ir);var Pr=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new w("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new w("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?"valid":t.padding,Q(n.padding),n.inputSpec=[new it({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=Qn((e=Qe(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){n.invokeCallHook(e,t),e=me(Ze(e),2);var a=n.poolingFunction(Ze(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Object(r.Xc)(a,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),Ar=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"max")},t.className="MaxPooling1D",t}(Pr);r.Ec.registerClass(Ar);var Tr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"avg")},t.className="AveragePooling1D",t}(Pr);r.Ec.registerClass(Tr);var Mr=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new w("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),Q(n.padding),n.inputSpec=[new it({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=Qn(t,this.poolSize[0],this.padding,this.strides[0]),n=Qn(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){return n.invokeCallHook(e,t),n.poolingFunction(Ze(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),Rr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"max")},t.className="MaxPooling2D",t}(Mr);r.Ec.registerClass(Rr);var Dr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Cr(e,t,n,r,a,"avg")},t.className="AveragePooling2D",t}(Mr);r.Ec.registerClass(Dr);var jr=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new it({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new x},t}(ct),Lr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.od)(function(){var t=Ze(e);return Object(r.Fb)(t,1)})},t.className="GlobalAveragePooling1D",t}(jr);r.Ec.registerClass(Lr);var Br=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.od)(function(){var t=Ze(e);return Object(r.Bb)(t,1)})},t.className="GlobalMaxPooling1D",t}(jr);r.Ec.registerClass(Br);var zr=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),n.inputSpec=[new it({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new x},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ct),Fr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.Fb)(t,[1,2]):Object(r.Fb)(t,[2,3])})},t.className="GlobalAveragePooling2D",t}(zr);r.Ec.registerClass(Fr);var Vr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.Bb)(t,[1,2]):Object(r.Bb)(t,[2,3])})},t.className="GlobalMaxPooling2D",t}(zr);function Ur(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new w("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function Wr(e,t,n,a,i,o,s,u){void 0===a&&(a=!1),void 0===s&&(s=!1),void 0===u&&(u=!1);var l=t.shape.length;if(l<3)throw new w("Input should be at least 3D, but is "+l+"D.");var c,f,p=[1,0].concat(he(2,l));if(t=Object(r.ud)(t,p),null!=i)throw new x("The rnn() function of the deeplearn.js backend does not support masking yet.");if(null!=o)throw new x("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),a&&(t=Object(r.uc)(t,0));for(var h=n,d=t.shape[0],m=function(n){var a=ge(t,n,1);a=a.reshape(a.shape.slice(1));var i=Object(r.od)(function(){return e(a,h)});if(f=i[0],u)if(0===n)c=f.expandDims(1);else{var o=Object(r.R)([c,f.expandDims(1)],1);c.dispose(),c=o}h=i[1]},g=0;g<d;++g)m(g);return[f,c,h]}r.Ec.registerClass(Vr);var qr=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new w("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(t.cell)?new Zr({cells:t.cell}):t.cell).stateSize)throw new w("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new it({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return i(t,e),t.prototype.getStates=function(){return null==this.states?he(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){Ye(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a=[],i=0,o=t;i<o.length;i++){var s=o[i];a.push([e[0],s])}return[n].concat(a)}return n},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for RNN yet")},t.prototype.build=function(e){if(null!=this.numConstants)throw new x("Constants support is not implemented in RNN yet.");Ye(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new it({shape:[t,null,n]});var a,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),a=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!r.yd.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),a))throw new w("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=a.map(function(e){return new it({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e){var t=this;Object(r.od)(function(){if(!t.stateful)throw new v("Cannot call resetStates() on an RNN Layer that is not stateful.");var n=t.inputSpec[0].shape[0];if(null==n)throw new w("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==t.states)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return Object(r.Hd)([n,e])}):t.states=[Object(r.Hd)([n,t.cell.stateSize])];else if(null==e)Object(r.Fa)(t.states),null!=t.keptStates&&(Object(r.Fa)(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return Object(r.Hd)([n,e])}):t.states[0]=Object(r.Hd)([n,t.cell.stateSize]);else{if(t.keptStates.push(t.states.slice()),Array.isArray(e)||(e=[e]),e.length!==t.states.length)throw new w("Layer "+t.name+" expects "+t.states.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);for(var a=0;a<t.states.length;++a){var i=e[a],o=Array.isArray(t.cell.stateSize)?t.cell.stateSize[a]:t.cell.stateSize,s=[n,o];if(!r.yd.arraysEqual(i.shape,s))throw new w("State "+a+" is incompatible with layer "+t.name+": expected shape="+s+", received shape="+i.shape);t.states[a]=i}}t.states.forEach(function(e){return Object(r.ib)(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=Ur(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new it({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof ot){var f=[t].concat(o),p=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=p;var d=e.prototype.apply.call(this,f,n);return this.inputSpec=h,d}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;if(e=Ze(e),null==i&&(i=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new x("Masking is not implemented for RNN yet");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new w("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=Wr(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,i,n.goBackwards,null,null,n.unroll,n.returnSequences),l=u[0],c=u[1],f=u[2];n.stateful&&n.resetStates(f);var p=n.returnSequences?c:l;return n.returnState?[p].concat(f):p})},t.prototype.getInitialState=function(e){var t=this;return Object(r.od)(function(){var n=Object(r.Hd)(e.shape);return n=me(n=Object(r.dd)(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?xe(n,[1,e]):n}):t.cell.stateSize>1?[xe(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className="RNN",t}(ct);r.Ec.registerClass(qr);var $r=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t}(ct),Gr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Fn(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jn(t.kernelRegularizer),n.recurrentRegularizer=Jn(t.recurrentRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){e=Qe(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){if(2!==(e=e).length)throw new w("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var a=e[1];e=e[0];var i,o=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Qr(function(){return Object(r.Zb)(e)},n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Qr(function(){return Object(r.Zb)(a)},n.recurrentDropout,o));var s=n.dropoutMask,u=n.recurrentDropoutMask;i=Ee(null!=s?Object(r.Ob)(e,s):e,n.kernel.read()),null!=n.bias&&(i=Oe(i,n.bias.read())),null!=u&&(a=Object(r.Ob)(a,u));var l=Object(r.s)(i,Ee(a,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="SimpleRNNCell",t}($r);r.Ec.registerClass(Gr);var Hr=function(e){function t(t){return t.cell=new Gr(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.od)(function(){null!=a.cell.dropoutMask&&(Object(r.Fa)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.Fa)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className="SimpleRNN",t}(qr);r.Ec.registerClass(Hr);var Kr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Fn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Fn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Jn(t.kernelRegularizer),n.recurrentRegularizer=Jn(t.recurrentRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t=(e=Qe(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){if(2!==(e=e).length)throw new w("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var a=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Qr(function(){return Object(r.Zb)(e)},n.dropout,a,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Qr(function(){return Object(r.Zb)(i)},n.recurrentDropout,a,3));var o,s,u,l=n.dropoutMask,c=n.recurrentDropoutMask;if(1===n.implementation){var f=ye(n.kernel.read(),0,n.units),p=ye(n.kernel.read(),n.units,n.units),h=ye(n.kernel.read(),2*n.units,n.units),d=ye(n.recurrentKernel.read(),0,n.units),m=ye(n.recurrentKernel.read(),n.units,n.units),g=ye(n.recurrentKernel.read(),2*n.units,n.units),v=void 0,b=void 0,x=void 0;0<n.dropout&&n.dropout<1?(v=Object(r.Ob)(e,l[0]),b=Object(r.Ob)(e,l[1]),x=Object(r.Ob)(e,l[2])):(v=e,b=e,x=e);var _=Ee(v,f),E=Ee(b,p),N=Ee(x,h);if(n.useBias){var S=ge(n.bias.read(),0,n.units),O=ge(n.bias.read(),n.units,n.units),k=ge(n.bias.read(),2*n.units,n.units);_=Oe(_,S),E=Oe(E,O),N=Oe(N,k)}var I=void 0,C=void 0,P=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(I=Object(r.Ob)(i,c[0]),C=Object(r.Ob)(i,c[1]),P=Object(r.Ob)(i,c[2])):(I=i,C=i,P=i),o=n.recurrentActivation.apply(Object(r.s)(_,Ee(I,d))),s=n.recurrentActivation.apply(Object(r.s)(E,Ee(C,m))),u=n.activation.apply(Object(r.s)(N,Ee(Object(r.Ob)(s,P),g)))}else{0<n.dropout&&n.dropout<1&&(e=Object(r.Ob)(e,l[0]));var A=Ee(e,n.kernel.read());n.useBias&&(A=Oe(A,n.bias.read())),0<n.dropout&&n.dropout<1&&(i=Object(r.Ob)(i,c[0]));var T=Ee(i,ye(n.recurrentKernel.read(),0,2*n.units)),M=(_=ye(A,0,n.units),E=ye(A,n.units,n.units),ye(T,0,n.units)),R=ye(T,n.units,n.units);o=n.recurrentActivation.apply(Object(r.s)(_,M)),s=n.recurrentActivation.apply(Object(r.s)(E,R)),N=ye(A,2*n.units,n.units);var D=Ee(Object(r.Ob)(s,i),ye(n.recurrentKernel.read(),2*n.units,n.units));u=n.activation.apply(Object(r.s)(N,D))}var j=Object(r.s)(Object(r.Ob)(o,i),Object(r.Ob)(Object(r.s)(y(1),Object(r.Sb)(o)),u));return[j,j]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="GRUCell",t}($r);r.Ec.registerClass(Kr);var Xr=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Kr(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.od)(function(){null!=a.cell.dropoutMask&&(Object(r.Fa)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.Fa)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="GRU",t}(qr);r.Ec.registerClass(Xr);var Yr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Fn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Fn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=Jn(t.kernelRegularizer),n.recurrentRegularizer=Jn(t.recurrentRegularizer),n.biasRegularizer=Jn(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t,n,r=(e=Qe(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,o=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.apply=function(e,t){var n=a.apply([o]),r=(new Me).apply([o]),i=a.apply([2*o]);return we(we(n,r),i)},t}(Ae)).className="CustomInit",n)}else t=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){var a=null!=t.training&&t.training;if(3!==(e=e).length)throw new w("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var i=e[1],o=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Qr(function(){return Object(r.Zb)(e)},n.dropout,a,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Qr(function(){return Object(r.Zb)(i)},n.recurrentDropout,a,4));var s,u,l,c,f=n.dropoutMask,p=n.recurrentDropoutMask;if(1===n.implementation){var h=ye(n.kernel.read(),0,n.units),d=ye(n.kernel.read(),n.units,n.units),m=ye(n.kernel.read(),2*n.units,n.units),g=ye(n.kernel.read(),3*n.units,n.units),y=ye(n.recurrentKernel.read(),0,n.units),v=ye(n.recurrentKernel.read(),n.units,n.units),b=ye(n.recurrentKernel.read(),2*n.units,n.units),x=ye(n.recurrentKernel.read(),3*n.units,n.units),_=void 0,E=void 0,N=void 0,S=void 0;0<n.dropout&&n.dropout<1?(_=Object(r.Ob)(e,f[0]),E=Object(r.Ob)(e,f[1]),N=Object(r.Ob)(e,f[2]),S=Object(r.Ob)(e,f[3])):(_=e,E=e,N=e,S=e);var O=Ee(_,h),k=Ee(E,d),I=Ee(N,m),C=Ee(S,g);if(n.useBias){var P=ge(n.bias.read(),0,n.units),A=ge(n.bias.read(),n.units,n.units),T=ge(n.bias.read(),2*n.units,n.units),M=ge(n.bias.read(),3*n.units,n.units);O=Oe(O,P),k=Oe(k,A),I=Oe(I,T),C=Oe(C,M)}var R=void 0,D=void 0,j=void 0,L=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(R=Object(r.Ob)(i,p[0]),D=Object(r.Ob)(i,p[1]),j=Object(r.Ob)(i,p[2]),L=Object(r.Ob)(i,p[3])):(R=i,D=i,j=i,L=i),s=n.recurrentActivation.apply(Object(r.s)(O,Ee(R,y))),u=n.recurrentActivation.apply(Object(r.s)(k,Ee(D,v))),l=Object(r.s)(Object(r.Ob)(u,o),Object(r.Ob)(s,n.activation.apply(Object(r.s)(I,Ee(j,b))))),c=n.recurrentActivation.apply(Object(r.s)(C,Ee(L,x)))}else{0<n.dropout&&n.dropout<1&&(e=Object(r.Ob)(e,f[0]));var B=Ee(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Object(r.Ob)(i,p[0])),B=Object(r.s)(B,Ee(i,n.recurrentKernel.read())),n.useBias&&(B=Oe(B,n.bias.read()));var z=ye(B,0,n.units),F=ye(B,n.units,n.units),V=ye(B,2*n.units,n.units),U=ye(B,3*n.units,n.units);s=n.recurrentActivation.apply(z),u=n.recurrentActivation.apply(F),l=Object(r.s)(Object(r.Ob)(u,o),Object(r.Ob)(s,n.activation.apply(V))),c=n.recurrentActivation.apply(U)}var W=Object(r.Ob)(c,n.activation.apply(l));return[W,W,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="LSTMCell",t}($r);r.Ec.registerClass(Yr);var Jr=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new Yr(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.od)(function(){null!=a.cell.dropoutMask&&(Object(r.Fa)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.Fa)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Bn(this.activation),recurrentActivation:Bn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Xn(this.kernelRegularizer),recurrentRegularizer:Xn(this.recurrentRegularizer),biasRegularizer:Xn(this.biasRegularizer),activityRegularizer:Xn(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="LSTM",t}(qr);r.Ec.registerClass(Jr);var Zr=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return i(t,e),Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return Object(r.od)(function(){for(var r=(e=e).slice(1),a=[],i=0,o=n.cells.slice().reverse();i<o.length;i++){var s=o[i];Array.isArray(s.stateSize)?a.push(r.splice(0,s.stateSize.length)):a.push(r.splice(0,1))}a.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=a[c],u=0===c?[e[0]].concat(r):[u[0]].concat(r),u=s.call(u,t),l.push(u.slice(1));r=[];for(var f=0,p=l.slice().reverse();f<p.length;f++){var h=p[f];r.push.apply(r,h)}return[u[0]].concat(r)})},t.prototype.build=function(e){var t;Ye(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var a=r[n];a.build(e),t=Array.isArray(a.stateSize)?a.stateSize[0]:a.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var a=r[n];t.push({className:this.getClassName(),config:a.getConfig()})}var i={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(i,o),i},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],a=0,i=t.cells;a<i.length;a++){var o=i[a];r.push(tn(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var a=[],i=0,o=this.cells;i<o.length;i++)r=o[i],a.push.apply(a,r.trainableWeights);return a.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return rt(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var a=r[n],i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)t.push([a.weights[s],o[s]]);at(t)},t.className="StackedRNNCells",t}($r);function Qr(e,t,n,a){function i(){return ke(e(),y(t))}if(void 0===n&&(n=null),void 0===a&&(a=1),a>1){for(var o=[],s=0;s<a;s++)o.push(Ie(i,e,n));return o.forEach(function(e){return Object(r.ib)(e)}),o}return Object(r.ib)(Ie(i,e,n))}r.Ec.registerClass(Zr);var ea=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return i(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,"trainable",{get:function(){return 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r,a,i,o=e.words,s=t.words,u=n.words,l=0,c=0|o[0],f=8191&c,p=c>>>13,h=0|o[1],d=8191&h,m=h>>>13,g=0|o[2],y=8191&g,v=g>>>13,b=0|o[3],w=8191&b,x=b>>>13,_=0|o[4],E=8191&_,N=_>>>13,S=0|o[5],O=8191&S,k=S>>>13,I=0|o[6],C=8191&I,P=I>>>13,A=0|o[7],T=8191&A,M=A>>>13,R=0|o[8],D=8191&R,j=R>>>13,L=0|o[9],B=8191&L,z=L>>>13,F=0|s[0],V=8191&F,U=F>>>13,W=0|s[1],q=8191&W,$=W>>>13,G=0|s[2],H=8191&G,K=G>>>13,X=0|s[3],Y=8191&X,J=X>>>13,Z=0|s[4],Q=8191&Z,ee=Z>>>13,te=0|s[5],ne=8191&te,re=te>>>13,ae=0|s[6],ie=8191&ae,oe=ae>>>13,se=0|s[7],ue=8191&se,le=se>>>13,ce=0|s[8],fe=8191&ce,pe=ce>>>13,he=0|s[9],de=8191&he,me=he>>>13;n.negative=e.negative^t.negative,n.length=19;var ge=(l+(r=Math.imul(f,V))|0)+((8191&(a=(a=Math.imul(f,U))+Math.imul(p,V)|0))<<13)|0;l=((i=Math.imul(p,U))+(a>>>13)|0)+(ge>>>26)|0,ge&=67108863,r=Math.imul(d,V),a=(a=Math.imul(d,U))+Math.imul(m,V)|0,i=Math.imul(m,U);var ye=(l+(r=r+Math.imul(f,q)|0)|0)+((8191&(a=(a=a+Math.imul(f,$)|0)+Math.imul(p,q)|0))<<13)|0;l=((i=i+Math.imul(p,$)|0)+(a>>>13)|0)+(ye>>>26)|0,ye&=67108863,r=Math.imul(y,V),a=(a=Math.imul(y,U))+Math.imul(v,V)|0,i=Math.imul(v,U),r=r+Math.imul(d,q)|0,a=(a=a+Math.imul(d,$)|0)+Math.imul(m,q)|0,i=i+Math.imul(m,$)|0;var ve=(l+(r=r+Math.imul(f,H)|0)|0)+((8191&(a=(a=a+Math.imul(f,K)|0)+Math.imul(p,H)|0))<<13)|0;l=((i=i+Math.imul(p,K)|0)+(a>>>13)|0)+(ve>>>26)|0,ve&=67108863,r=Math.imul(w,V),a=(a=Math.imul(w,U))+Math.imul(x,V)|0,i=Math.imul(x,U),r=r+Math.imul(y,q)|0,a=(a=a+Math.imul(y,$)|0)+Math.imul(v,q)|0,i=i+Math.imul(v,$)|0,r=r+Math.imul(d,H)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(m,H)|0,i=i+Math.imul(m,K)|0;var be=(l+(r=r+Math.imul(f,Y)|0)|0)+((8191&(a=(a=a+Math.imul(f,J)|0)+Math.imul(p,Y)|0))<<13)|0;l=((i=i+Math.imul(p,J)|0)+(a>>>13)|0)+(be>>>26)|0,be&=67108863,r=Math.imul(E,V),a=(a=Math.imul(E,U))+Math.imul(N,V)|0,i=Math.imul(N,U),r=r+Math.imul(w,q)|0,a=(a=a+Math.imul(w,$)|0)+Math.imul(x,q)|0,i=i+Math.imul(x,$)|0,r=r+Math.imul(y,H)|0,a=(a=a+Math.imul(y,K)|0)+Math.imul(v,H)|0,i=i+Math.imul(v,K)|0,r=r+Math.imul(d,Y)|0,a=(a=a+Math.imul(d,J)|0)+Math.imul(m,Y)|0,i=i+Math.imul(m,J)|0;var we=(l+(r=r+Math.imul(f,Q)|0)|0)+((8191&(a=(a=a+Math.imul(f,ee)|0)+Math.imul(p,Q)|0))<<13)|0;l=((i=i+Math.imul(p,ee)|0)+(a>>>13)|0)+(we>>>26)|0,we&=67108863,r=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(k,V)|0,i=Math.imul(k,U),r=r+Math.imul(E,q)|0,a=(a=a+Math.imul(E,$)|0)+Math.imul(N,q)|0,i=i+Math.imul(N,$)|0,r=r+Math.imul(w,H)|0,a=(a=a+Math.imul(w,K)|0)+Math.imul(x,H)|0,i=i+Math.imul(x,K)|0,r=r+Math.imul(y,Y)|0,a=(a=a+Math.imul(y,J)|0)+Math.imul(v,Y)|0,i=i+Math.imul(v,J)|0,r=r+Math.imul(d,Q)|0,a=(a=a+Math.imul(d,ee)|0)+Math.imul(m,Q)|0,i=i+Math.imul(m,ee)|0;var xe=(l+(r=r+Math.imul(f,ne)|0)|0)+((8191&(a=(a=a+Math.imul(f,re)|0)+Math.imul(p,ne)|0))<<13)|0;l=((i=i+Math.imul(p,re)|0)+(a>>>13)|0)+(xe>>>26)|0,xe&=67108863,r=Math.imul(C,V),a=(a=Math.imul(C,U))+Math.imul(P,V)|0,i=Math.imul(P,U),r=r+Math.imul(O,q)|0,a=(a=a+Math.imul(O,$)|0)+Math.imul(k,q)|0,i=i+Math.imul(k,$)|0,r=r+Math.imul(E,H)|0,a=(a=a+Math.imul(E,K)|0)+Math.imul(N,H)|0,i=i+Math.imul(N,K)|0,r=r+Math.imul(w,Y)|0,a=(a=a+Math.imul(w,J)|0)+Math.imul(x,Y)|0,i=i+Math.imul(x,J)|0,r=r+Math.imul(y,Q)|0,a=(a=a+Math.imul(y,ee)|0)+Math.imul(v,Q)|0,i=i+Math.imul(v,ee)|0,r=r+Math.imul(d,ne)|0,a=(a=a+Math.imul(d,re)|0)+Math.imul(m,ne)|0,i=i+Math.imul(m,re)|0;var _e=(l+(r=r+Math.imul(f,ie)|0)|0)+((8191&(a=(a=a+Math.imul(f,oe)|0)+Math.imul(p,ie)|0))<<13)|0;l=((i=i+Math.imul(p,oe)|0)+(a>>>13)|0)+(_e>>>26)|0,_e&=67108863,r=Math.imul(T,V),a=(a=Math.imul(T,U))+Math.imul(M,V)|0,i=Math.imul(M,U),r=r+Math.imul(C,q)|0,a=(a=a+Math.imul(C,$)|0)+Math.imul(P,q)|0,i=i+Math.imul(P,$)|0,r=r+Math.imul(O,H)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,K)|0,r=r+Math.imul(E,Y)|0,a=(a=a+Math.imul(E,J)|0)+Math.imul(N,Y)|0,i=i+Math.imul(N,J)|0,r=r+Math.imul(w,Q)|0,a=(a=a+Math.imul(w,ee)|0)+Math.imul(x,Q)|0,i=i+Math.imul(x,ee)|0,r=r+Math.imul(y,ne)|0,a=(a=a+Math.imul(y,re)|0)+Math.imul(v,ne)|0,i=i+Math.imul(v,re)|0,r=r+Math.imul(d,ie)|0,a=(a=a+Math.imul(d,oe)|0)+Math.imul(m,ie)|0,i=i+Math.imul(m,oe)|0;var Ee=(l+(r=r+Math.imul(f,ue)|0)|0)+((8191&(a=(a=a+Math.imul(f,le)|0)+Math.imul(p,ue)|0))<<13)|0;l=((i=i+Math.imul(p,le)|0)+(a>>>13)|0)+(Ee>>>26)|0,Ee&=67108863,r=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(j,V)|0,i=Math.imul(j,U),r=r+Math.imul(T,q)|0,a=(a=a+Math.imul(T,$)|0)+Math.imul(M,q)|0,i=i+Math.imul(M,$)|0,r=r+Math.imul(C,H)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(P,H)|0,i=i+Math.imul(P,K)|0,r=r+Math.imul(O,Y)|0,a=(a=a+Math.imul(O,J)|0)+Math.imul(k,Y)|0,i=i+Math.imul(k,J)|0,r=r+Math.imul(E,Q)|0,a=(a=a+Math.imul(E,ee)|0)+Math.imul(N,Q)|0,i=i+Math.imul(N,ee)|0,r=r+Math.imul(w,ne)|0,a=(a=a+Math.imul(w,re)|0)+Math.imul(x,ne)|0,i=i+Math.imul(x,re)|0,r=r+Math.imul(y,ie)|0,a=(a=a+Math.imul(y,oe)|0)+Math.imul(v,ie)|0,i=i+Math.imul(v,oe)|0,r=r+Math.imul(d,ue)|0,a=(a=a+Math.imul(d,le)|0)+Math.imul(m,ue)|0,i=i+Math.imul(m,le)|0;var Ne=(l+(r=r+Math.imul(f,fe)|0)|0)+((8191&(a=(a=a+Math.imul(f,pe)|0)+Math.imul(p,fe)|0))<<13)|0;l=((i=i+Math.imul(p,pe)|0)+(a>>>13)|0)+(Ne>>>26)|0,Ne&=67108863,r=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(z,V)|0,i=Math.imul(z,U),r=r+Math.imul(D,q)|0,a=(a=a+Math.imul(D,$)|0)+Math.imul(j,q)|0,i=i+Math.imul(j,$)|0,r=r+Math.imul(T,H)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(M,H)|0,i=i+Math.imul(M,K)|0,r=r+Math.imul(C,Y)|0,a=(a=a+Math.imul(C,J)|0)+Math.imul(P,Y)|0,i=i+Math.imul(P,J)|0,r=r+Math.imul(O,Q)|0,a=(a=a+Math.imul(O,ee)|0)+Math.imul(k,Q)|0,i=i+Math.imul(k,ee)|0,r=r+Math.imul(E,ne)|0,a=(a=a+Math.imul(E,re)|0)+Math.imul(N,ne)|0,i=i+Math.imul(N,re)|0,r=r+Math.imul(w,ie)|0,a=(a=a+Math.imul(w,oe)|0)+Math.imul(x,ie)|0,i=i+Math.imul(x,oe)|0,r=r+Math.imul(y,ue)|0,a=(a=a+Math.imul(y,le)|0)+Math.imul(v,ue)|0,i=i+Math.imul(v,le)|0,r=r+Math.imul(d,fe)|0,a=(a=a+Math.imul(d,pe)|0)+Math.imul(m,fe)|0,i=i+Math.imul(m,pe)|0;var Se=(l+(r=r+Math.imul(f,de)|0)|0)+((8191&(a=(a=a+Math.imul(f,me)|0)+Math.imul(p,de)|0))<<13)|0;l=((i=i+Math.imul(p,me)|0)+(a>>>13)|0)+(Se>>>26)|0,Se&=67108863,r=Math.imul(B,q),a=(a=Math.imul(B,$))+Math.imul(z,q)|0,i=Math.imul(z,$),r=r+Math.imul(D,H)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(j,H)|0,i=i+Math.imul(j,K)|0,r=r+Math.imul(T,Y)|0,a=(a=a+Math.imul(T,J)|0)+Math.imul(M,Y)|0,i=i+Math.imul(M,J)|0,r=r+Math.imul(C,Q)|0,a=(a=a+Math.imul(C,ee)|0)+Math.imul(P,Q)|0,i=i+Math.imul(P,ee)|0,r=r+Math.imul(O,ne)|0,a=(a=a+Math.imul(O,re)|0)+Math.imul(k,ne)|0,i=i+Math.imul(k,re)|0,r=r+Math.imul(E,ie)|0,a=(a=a+Math.imul(E,oe)|0)+Math.imul(N,ie)|0,i=i+Math.imul(N,oe)|0,r=r+Math.imul(w,ue)|0,a=(a=a+Math.imul(w,le)|0)+Math.imul(x,ue)|0,i=i+Math.imul(x,le)|0,r=r+Math.imul(y,fe)|0,a=(a=a+Math.imul(y,pe)|0)+Math.imul(v,fe)|0,i=i+Math.imul(v,pe)|0;var Oe=(l+(r=r+Math.imul(d,de)|0)|0)+((8191&(a=(a=a+Math.imul(d,me)|0)+Math.imul(m,de)|0))<<13)|0;l=((i=i+Math.imul(m,me)|0)+(a>>>13)|0)+(Oe>>>26)|0,Oe&=67108863,r=Math.imul(B,H),a=(a=Math.imul(B,K))+Math.imul(z,H)|0,i=Math.imul(z,K),r=r+Math.imul(D,Y)|0,a=(a=a+Math.imul(D,J)|0)+Math.imul(j,Y)|0,i=i+Math.imul(j,J)|0,r=r+Math.imul(T,Q)|0,a=(a=a+Math.imul(T,ee)|0)+Math.imul(M,Q)|0,i=i+Math.imul(M,ee)|0,r=r+Math.imul(C,ne)|0,a=(a=a+Math.imul(C,re)|0)+Math.imul(P,ne)|0,i=i+Math.imul(P,re)|0,r=r+Math.imul(O,ie)|0,a=(a=a+Math.imul(O,oe)|0)+Math.imul(k,ie)|0,i=i+Math.imul(k,oe)|0,r=r+Math.imul(E,ue)|0,a=(a=a+Math.imul(E,le)|0)+Math.imul(N,ue)|0,i=i+Math.imul(N,le)|0,r=r+Math.imul(w,fe)|0,a=(a=a+Math.imul(w,pe)|0)+Math.imul(x,fe)|0,i=i+Math.imul(x,pe)|0;var ke=(l+(r=r+Math.imul(y,de)|0)|0)+((8191&(a=(a=a+Math.imul(y,me)|0)+Math.imul(v,de)|0))<<13)|0;l=((i=i+Math.imul(v,me)|0)+(a>>>13)|0)+(ke>>>26)|0,ke&=67108863,r=Math.imul(B,Y),a=(a=Math.imul(B,J))+Math.imul(z,Y)|0,i=Math.imul(z,J),r=r+Math.imul(D,Q)|0,a=(a=a+Math.imul(D,ee)|0)+Math.imul(j,Q)|0,i=i+Math.imul(j,ee)|0,r=r+Math.imul(T,ne)|0,a=(a=a+Math.imul(T,re)|0)+Math.imul(M,ne)|0,i=i+Math.imul(M,re)|0,r=r+Math.imul(C,ie)|0,a=(a=a+Math.imul(C,oe)|0)+Math.imul(P,ie)|0,i=i+Math.imul(P,oe)|0,r=r+Math.imul(O,ue)|0,a=(a=a+Math.imul(O,le)|0)+Math.imul(k,ue)|0,i=i+Math.imul(k,le)|0,r=r+Math.imul(E,fe)|0,a=(a=a+Math.imul(E,pe)|0)+Math.imul(N,fe)|0,i=i+Math.imul(N,pe)|0;var Ie=(l+(r=r+Math.imul(w,de)|0)|0)+((8191&(a=(a=a+Math.imul(w,me)|0)+Math.imul(x,de)|0))<<13)|0;l=((i=i+Math.imul(x,me)|0)+(a>>>13)|0)+(Ie>>>26)|0,Ie&=67108863,r=Math.imul(B,Q),a=(a=Math.imul(B,ee))+Math.imul(z,Q)|0,i=Math.imul(z,ee),r=r+Math.imul(D,ne)|0,a=(a=a+Math.imul(D,re)|0)+Math.imul(j,ne)|0,i=i+Math.imul(j,re)|0,r=r+Math.imul(T,ie)|0,a=(a=a+Math.imul(T,oe)|0)+Math.imul(M,ie)|0,i=i+Math.imul(M,oe)|0,r=r+Math.imul(C,ue)|0,a=(a=a+Math.imul(C,le)|0)+Math.imul(P,ue)|0,i=i+Math.imul(P,le)|0,r=r+Math.imul(O,fe)|0,a=(a=a+Math.imul(O,pe)|0)+Math.imul(k,fe)|0,i=i+Math.imul(k,pe)|0;var Ce=(l+(r=r+Math.imul(E,de)|0)|0)+((8191&(a=(a=a+Math.imul(E,me)|0)+Math.imul(N,de)|0))<<13)|0;l=((i=i+Math.imul(N,me)|0)+(a>>>13)|0)+(Ce>>>26)|0,Ce&=67108863,r=Math.imul(B,ne),a=(a=Math.imul(B,re))+Math.imul(z,ne)|0,i=Math.imul(z,re),r=r+Math.imul(D,ie)|0,a=(a=a+Math.imul(D,oe)|0)+Math.imul(j,ie)|0,i=i+Math.imul(j,oe)|0,r=r+Math.imul(T,ue)|0,a=(a=a+Math.imul(T,le)|0)+Math.imul(M,ue)|0,i=i+Math.imul(M,le)|0,r=r+Math.imul(C,fe)|0,a=(a=a+Math.imul(C,pe)|0)+Math.imul(P,fe)|0,i=i+Math.imul(P,pe)|0;var Pe=(l+(r=r+Math.imul(O,de)|0)|0)+((8191&(a=(a=a+Math.imul(O,me)|0)+Math.imul(k,de)|0))<<13)|0;l=((i=i+Math.imul(k,me)|0)+(a>>>13)|0)+(Pe>>>26)|0,Pe&=67108863,r=Math.imul(B,ie),a=(a=Math.imul(B,oe))+Math.imul(z,ie)|0,i=Math.imul(z,oe),r=r+Math.imul(D,ue)|0,a=(a=a+Math.imul(D,le)|0)+Math.imul(j,ue)|0,i=i+Math.imul(j,le)|0,r=r+Math.imul(T,fe)|0,a=(a=a+Math.imul(T,pe)|0)+Math.imul(M,fe)|0,i=i+Math.imul(M,pe)|0;var Ae=(l+(r=r+Math.imul(C,de)|0)|0)+((8191&(a=(a=a+Math.imul(C,me)|0)+Math.imul(P,de)|0))<<13)|0;l=((i=i+Math.imul(P,me)|0)+(a>>>13)|0)+(Ae>>>26)|0,Ae&=67108863,r=Math.imul(B,ue),a=(a=Math.imul(B,le))+Math.imul(z,ue)|0,i=Math.imul(z,le),r=r+Math.imul(D,fe)|0,a=(a=a+Math.imul(D,pe)|0)+Math.imul(j,fe)|0,i=i+Math.imul(j,pe)|0;var Te=(l+(r=r+Math.imul(T,de)|0)|0)+((8191&(a=(a=a+Math.imul(T,me)|0)+Math.imul(M,de)|0))<<13)|0;l=((i=i+Math.imul(M,me)|0)+(a>>>13)|0)+(Te>>>26)|0,Te&=67108863,r=Math.imul(B,fe),a=(a=Math.imul(B,pe))+Math.imul(z,fe)|0,i=Math.imul(z,pe);var Me=(l+(r=r+Math.imul(D,de)|0)|0)+((8191&(a=(a=a+Math.imul(D,me)|0)+Math.imul(j,de)|0))<<13)|0;l=((i=i+Math.imul(j,me)|0)+(a>>>13)|0)+(Me>>>26)|0,Me&=67108863;var Re=(l+(r=Math.imul(B,de))|0)+((8191&(a=(a=Math.imul(B,me))+Math.imul(z,de)|0))<<13)|0;return l=((i=Math.imul(z,me))+(a>>>13)|0)+(Re>>>26)|0,Re&=67108863,u[0]=ge,u[1]=ye,u[2]=ve,u[3]=be,u[4]=we,u[5]=xe,u[6]=_e,u[7]=Ee,u[8]=Ne,u[9]=Se,u[10]=Oe,u[11]=ke,u[12]=Ie,u[13]=Ce,u[14]=Pe,u[15]=Ae,u[16]=Te,u[17]=Me,u[18]=Re,0!==l&&(u[19]=l,n.length++),n};function d(e,t,n){return(new m).mulp(e,t,n)}function m(e,t){this.x=e,this.y=t}Math.imul||(h=p),i.prototype.mulTo=function(e,t){var n=this.length+e.length;return 10===this.length&&10===e.length?h(this,e,t):n<63?p(this,e,t):n<1024?function(e,t,n){n.negative=t.negative^e.negative,n.length=e.length+t.length;for(var r=0,a=0,i=0;i<n.length-1;i++){var o=a;a=0;for(var s=67108863&r,u=Math.min(i,t.length-1),l=Math.max(0,i-e.length+1);l<=u;l++){var c=i-l,f=(0|e.words[c])*(0|t.words[l]),p=67108863&f;s=67108863&(p=p+s|0),a+=(o=(o=o+(f/67108864|0)|0)+(p>>>26)|0)>>>26,o&=67108863}n.words[i]=s,r=o,o=a}return 0!==r?n.words[i]=r:n.length--,n.strip()}(this,e,t):d(this,e,t)},m.prototype.makeRBT=function(e){for(var t=new Array(e),n=i.prototype._countBits(e)-1,r=0;r<e;r++)t[r]=this.revBin(r,n,e);return t},m.prototype.revBin=function(e,t,n){if(0===e||e===n-1)return e;for(var r=0,a=0;a<t;a++)r|=(1&e)<<t-a-1,e>>=1;return r},m.prototype.permute=function(e,t,n,r,a,i){for(var o=0;o<i;o++)r[o]=t[e[o]],a[o]=n[e[o]]},m.prototype.transform=function(e,t,n,r,a,i){this.permute(i,e,t,n,r,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,u=Math.cos(2*Math.PI/s),l=Math.sin(2*Math.PI/s),c=0;c<a;c+=s)for(var f=u,p=l,h=0;h<o;h++){var d=n[c+h],m=r[c+h],g=n[c+h+o],y=r[c+h+o],v=f*g-p*y;y=f*y+p*g,g=v,n[c+h]=d+g,r[c+h]=m+y,n[c+h+o]=d-g,r[c+h+o]=m-y,h!==s&&(v=u*f-l*p,p=u*p+l*f,f=v)}},m.prototype.guessLen13b=function(e,t){var n=1|Math.max(t,e),r=1&n,a=0;for(n=n/2|0;n;n>>>=1)a++;return 1<<a+1+r},m.prototype.conjugate=function(e,t,n){if(!(n<=1))for(var r=0;r<n/2;r++){var a=e[r];e[r]=e[n-r-1],e[n-r-1]=a,a=t[r],t[r]=-t[n-r-1],t[n-r-1]=-a}},m.prototype.normalize13b=function(e,t){for(var n=0,r=0;r<t/2;r++){var a=8192*Math.round(e[2*r+1]/t)+Math.round(e[2*r]/t)+n;e[r]=67108863&a,n=a<67108864?0:a/67108864|0}return e},m.prototype.convert13b=function(e,t,n,a){for(var i=0,o=0;o<t;o++)i+=0|e[o],n[2*o]=8191&i,i>>>=13,n[2*o+1]=8191&i,i>>>=13;for(o=2*t;o<a;++o)n[o]=0;r(0===i),r(0==(-8192&i))},m.prototype.stub=function(e){for(var t=new Array(e),n=0;n<e;n++)t[n]=0;return t},m.prototype.mulp=function(e,t,n){var r=2*this.guessLen13b(e.length,t.length),a=this.makeRBT(r),i=this.stub(r),o=new Array(r),s=new Array(r),u=new Array(r),l=new Array(r),c=new Array(r),f=new Array(r),p=n.words;p.length=r,this.convert13b(e.words,e.length,o,r),this.convert13b(t.words,t.length,l,r),this.transform(o,i,s,u,r,a),this.transform(l,i,c,f,r,a);for(var h=0;h<r;h++){var d=s[h]*c[h]-u[h]*f[h];u[h]=s[h]*f[h]+u[h]*c[h],s[h]=d}return this.conjugate(s,u,r),this.transform(s,u,p,i,r,a),this.conjugate(p,i,r),this.normalize13b(p,r),n.negative=e.negative^t.negative,n.length=e.length+t.length,n.strip()},i.prototype.mul=function(e){var t=new i(null);return t.words=new Array(this.length+e.length),this.mulTo(e,t)},i.prototype.mulf=function(e){var t=new i(null);return t.words=new Array(this.length+e.length),d(this,e,t)},i.prototype.imul=function(e){return this.clone().mulTo(e,this)},i.prototype.imuln=function(e){r("number"==typeof e),r(e<67108864);for(var t=0,n=0;n<this.length;n++){var a=(0|this.words[n])*e,i=(67108863&a)+(67108863&t);t>>=26,t+=a/67108864|0,t+=i>>>26,this.words[n]=67108863&i}return 0!==t&&(this.words[n]=t,this.length++),this},i.prototype.muln=function(e){return this.clone().imuln(e)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(e){var t=function(e){for(var t=new Array(e.bitLength()),n=0;n<t.length;n++){var r=n/26|0,a=n%26;t[n]=(e.words[r]&1<<a)>>>a}return t}(e);if(0===t.length)return new i(1);for(var n=this,r=0;r<t.length&&0===t[r];r++,n=n.sqr());if(++r<t.length)for(var 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f=0|this.words[l];this.words[l]=c<<26-i|f>>>i,c=f&s}return u&&0!==c&&(u.words[u.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(e,t,n){return r(0===this.negative),this.iushrn(e,t,n)},i.prototype.shln=function(e){return this.clone().ishln(e)},i.prototype.ushln=function(e){return this.clone().iushln(e)},i.prototype.shrn=function(e){return this.clone().ishrn(e)},i.prototype.ushrn=function(e){return this.clone().iushrn(e)},i.prototype.testn=function(e){r("number"==typeof e&&e>=0);var t=e%26,n=(e-t)/26,a=1<<t;return!(this.length<=n||!(this.words[n]&a))},i.prototype.imaskn=function(e){r("number"==typeof e&&e>=0);var t=e%26,n=(e-t)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=n)return this;if(0!==t&&n++,this.length=Math.min(n,this.length),0!==t){var a=67108863^67108863>>>t<<t;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(e){return 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this.clone().iaddn(e)},i.prototype.subn=function(e){return this.clone().isubn(e)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(e,t,n){var a,i,o=e.length+n;this._expand(o);var s=0;for(a=0;a<e.length;a++){i=(0|this.words[a+n])+s;var u=(0|e.words[a])*t;s=((i-=67108863&u)>>26)-(u/67108864|0),this.words[a+n]=67108863&i}for(;a<this.length-n;a++)s=(i=(0|this.words[a+n])+s)>>26,this.words[a+n]=67108863&i;if(0===s)return this.strip();for(r(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(e,t){var n=(this.length,e.length),r=this.clone(),a=e,o=0|a.words[a.length-1];0!=(n=26-this._countBits(o))&&(a=a.ushln(n),r.iushln(n),o=0|a.words[a.length-1]);var s,u=r.length-a.length;if("mod"!==t){(s=new i(null)).length=u+1,s.words=new Array(s.length);for(var l=0;l<s.length;l++)s.words[l]=0}var c=r.clone()._ishlnsubmul(a,1,u);0===c.negative&&(r=c,s&&(s.words[u]=1));for(var f=u-1;f>=0;f--){var p=67108864*(0|r.words[a.length+f])+(0|r.words[a.length+f-1]);for(p=Math.min(p/o|0,67108863),r._ishlnsubmul(a,p,f);0!==r.negative;)p--,r.negative=0,r._ishlnsubmul(a,1,f),r.isZero()||(r.negative^=1);s&&(s.words[f]=p)}return s&&s.strip(),r.strip(),"div"!==t&&0!==n&&r.iushrn(n),{div:s||null,mod:r}},i.prototype.divmod=function(e,t,n){return r(!e.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===e.negative?(s=this.neg().divmod(e,t),"mod"!==t&&(a=s.div.neg()),"div"!==t&&(o=s.mod.neg(),n&&0!==o.negative&&o.iadd(e)),{div:a,mod:o}):0===this.negative&&0!==e.negative?(s=this.divmod(e.neg(),t),"mod"!==t&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&e.negative)?(s=this.neg().divmod(e.neg(),t),"div"!==t&&(o=s.mod.neg(),n&&0!==o.negative&&o.isub(e)),{div:s.div,mod:o}):e.length>this.length||this.cmp(e)<0?{div:new i(0),mod:this}:1===e.length?"div"===t?{div:this.divn(e.words[0]),mod:null}:"mod"===t?{div:null,mod:new i(this.modn(e.words[0]))}:{div:this.divn(e.words[0]),mod:new i(this.modn(e.words[0]))}:this._wordDiv(e,t);var a,o,s},i.prototype.div=function(e){return this.divmod(e,"div",!1).div},i.prototype.mod=function(e){return this.divmod(e,"mod",!1).mod},i.prototype.umod=function(e){return this.divmod(e,"mod",!0).mod},i.prototype.divRound=function(e){var t=this.divmod(e);if(t.mod.isZero())return t.div;var n=0!==t.div.negative?t.mod.isub(e):t.mod,r=e.ushrn(1),a=e.andln(1),i=n.cmp(r);return i<0||1===a&&0===i?t.div:0!==t.div.negative?t.div.isubn(1):t.div.iaddn(1)},i.prototype.modn=function(e){r(e<=67108863);for(var t=(1<<26)%e,n=0,a=this.length-1;a>=0;a--)n=(t*n+(0|this.words[a]))%e;return n},i.prototype.idivn=function(e){r(e<=67108863);for(var t=0,n=this.length-1;n>=0;n--){var a=(0|this.words[n])+67108864*t;this.words[n]=a/e|0,t=a%e}return this.strip()},i.prototype.divn=function(e){return this.clone().idivn(e)},i.prototype.egcd=function(e){r(0===e.negative),r(!e.isZero());var t=this,n=e.clone();t=0!==t.negative?t.umod(e):t.clone();for(var a=new i(1),o=new i(0),s=new i(0),u=new i(1),l=0;t.isEven()&&n.isEven();)t.iushrn(1),n.iushrn(1),++l;for(var c=n.clone(),f=t.clone();!t.isZero();){for(var p=0,h=1;0==(t.words[0]&h)&&p<26;++p,h<<=1);if(p>0)for(t.iushrn(p);p-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(c),o.isub(f)),a.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(n.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(n.iushrn(d);d-- >0;)(s.isOdd()||u.isOdd())&&(s.iadd(c),u.isub(f)),s.iushrn(1),u.iushrn(1);t.cmp(n)>=0?(t.isub(n),a.isub(s),o.isub(u)):(n.isub(t),s.isub(a),u.isub(o))}return{a:s,b:u,gcd:n.iushln(l)}},i.prototype._invmp=function(e){r(0===e.negative),r(!e.isZero());var t=this,n=e.clone();t=0!==t.negative?t.umod(e):t.clone();for(var a,o=new i(1),s=new i(0),u=n.clone();t.cmpn(1)>0&&n.cmpn(1)>0;){for(var l=0,c=1;0==(t.words[0]&c)&&l<26;++l,c<<=1);if(l>0)for(t.iushrn(l);l-- 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this._expand(n+1),this.words[n]|=a,this;for(var i=a,o=n;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(e){var t,n=e<0;if(0!==this.negative&&!n)return-1;if(0===this.negative&&n)return 1;if(this.strip(),this.length>1)t=1;else{n&&(e=-e),r(e<=67108863,"Number is too big");var a=0|this.words[0];t=a===e?0:a<e?-1:1}return 0!==this.negative?0|-t:t},i.prototype.cmp=function(e){if(0!==this.negative&&0===e.negative)return-1;if(0===this.negative&&0!==e.negative)return 1;var t=this.ucmp(e);return 0!==this.negative?0|-t:t},i.prototype.ucmp=function(e){if(this.length>e.length)return 1;if(this.length<e.length)return-1;for(var t=0,n=this.length-1;n>=0;n--){var r=0|this.words[n],a=0|e.words[n];if(r!==a){r<a?t=-1:r>a&&(t=1);break}}return t},i.prototype.gtn=function(e){return 1===this.cmpn(e)},i.prototype.gt=function(e){return 1===this.cmp(e)},i.prototype.gten=function(e){return this.cmpn(e)>=0},i.prototype.gte=function(e){return this.cmp(e)>=0},i.prototype.ltn=function(e){return-1===this.cmpn(e)},i.prototype.lt=function(e){return-1===this.cmp(e)},i.prototype.lten=function(e){return this.cmpn(e)<=0},i.prototype.lte=function(e){return this.cmp(e)<=0},i.prototype.eqn=function(e){return 0===this.cmpn(e)},i.prototype.eq=function(e){return 0===this.cmp(e)},i.red=function(e){return new _(e)},i.prototype.toRed=function(e){return r(!this.red,"Already a number in reduction context"),r(0===this.negative,"red works only with positives"),e.convertTo(this)._forceRed(e)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(e){return this.red=e,this},i.prototype.forceRed=function(e){return r(!this.red,"Already a number in reduction 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fffffc2f")}function b(){y.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function w(){y.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function x(){y.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function _(e){if("string"==typeof e){var t=i._prime(e);this.m=t.p,this.prime=t}else r(e.gtn(1),"modulus must be greater than 1"),this.m=e,this.prime=null}function E(e){_.call(this,e),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var e=new i(null);return e.words=new Array(Math.ceil(this.n/13)),e},y.prototype.ireduce=function(e){var t,n=e;do{this.split(n,this.tmp),t=(n=(n=this.imulK(n)).iadd(this.tmp)).bitLength()}while(t>this.n);var r=t<this.n?-1:n.ucmp(this.p);return 0===r?(n.words[0]=0,n.length=1):r>0?n.isub(this.p):n.strip(),n},y.prototype.split=function(e,t){e.iushrn(this.n,0,t)},y.prototype.imulK=function(e){return e.imul(this.k)},a(v,y),v.prototype.split=function(e,t){for(var n=Math.min(e.length,9),r=0;r<n;r++)t.words[r]=e.words[r];if(t.length=n,e.length<=9)return e.words[0]=0,void(e.length=1);var a=e.words[9];for(t.words[t.length++]=4194303&a,r=10;r<e.length;r++){var i=0|e.words[r];e.words[r-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,e.words[r-10]=a,0===a&&e.length>10?e.length-=10:e.length-=9},v.prototype.imulK=function(e){e.words[e.length]=0,e.words[e.length+1]=0,e.length+=2;for(var t=0,n=0;n<e.length;n++){var r=0|e.words[n];t+=977*r,e.words[n]=67108863&t,t=64*r+(t/67108864|0)}return 0===e.words[e.length-1]&&(e.length--,0===e.words[e.length-1]&&e.length--),e},a(b,y),a(w,y),a(x,y),x.prototype.imulK=function(e){for(var t=0,n=0;n<e.length;n++){var r=19*(0|e.words[n])+t,a=67108863&r;r>>>=26,e.words[n]=a,t=r}return 0!==t&&(e.words[e.length++]=t),e},i._prime=function(e){if(g[e])return g[e];var t;if("k256"===e)t=new v;else if("p224"===e)t=new b;else if("p192"===e)t=new w;else{if("p25519"!==e)throw new Error("Unknown prime "+e);t=new x}return g[e]=t,t},_.prototype._verify1=function(e){r(0===e.negative,"red works only with positives"),r(e.red,"red works only with red numbers")},_.prototype._verify2=function(e,t){r(0==(e.negative|t.negative),"red works only with positives"),r(e.red&&e.red===t.red,"red works only with red numbers")},_.prototype.imod=function(e){return this.prime?this.prime.ireduce(e)._forceRed(this):e.umod(this.m)._forceRed(this)},_.prototype.neg=function(e){return e.isZero()?e.clone():this.m.sub(e)._forceRed(this)},_.prototype.add=function(e,t){this._verify2(e,t);var n=e.add(t);return n.cmp(this.m)>=0&&n.isub(this.m),n._forceRed(this)},_.prototype.iadd=function(e,t){this._verify2(e,t);var n=e.iadd(t);return n.cmp(this.m)>=0&&n.isub(this.m),n},_.prototype.sub=function(e,t){this._verify2(e,t);var n=e.sub(t);return n.cmpn(0)<0&&n.iadd(this.m),n._forceRed(this)},_.prototype.isub=function(e,t){this._verify2(e,t);var n=e.isub(t);return n.cmpn(0)<0&&n.iadd(this.m),n},_.prototype.shl=function(e,t){return this._verify1(e),this.imod(e.ushln(t))},_.prototype.imul=function(e,t){return this._verify2(e,t),this.imod(e.imul(t))},_.prototype.mul=function(e,t){return this._verify2(e,t),this.imod(e.mul(t))},_.prototype.isqr=function(e){return this.imul(e,e.clone())},_.prototype.sqr=function(e){return this.mul(e,e)},_.prototype.sqrt=function(e){if(e.isZero())return e.clone();var t=this.m.andln(3);if(r(t%2==1),3===t){var n=this.m.add(new i(1)).iushrn(2);return this.pow(e,n)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);r(!a.isZero());var s=new i(1).toRed(this),u=s.redNeg(),l=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new i(2*c*c).toRed(this);0!==this.pow(c,l).cmp(u);)c.redIAdd(u);for(var f=this.pow(c,a),p=this.pow(e,a.addn(1).iushrn(1)),h=this.pow(e,a),d=o;0!==h.cmp(s);){for(var m=h,g=0;0!==m.cmp(s);g++)m=m.redSqr();r(g<d);var y=this.pow(f,new i(1).iushln(d-g-1));p=p.redMul(y),f=y.redSqr(),h=h.redMul(f),d=g}return p},_.prototype.invm=function(e){var t=e._invmp(this.m);return 0!==t.negative?(t.negative=0,this.imod(t).redNeg()):this.imod(t)},_.prototype.pow=function(e,t){if(t.isZero())return new i(1).toRed(this);if(0===t.cmpn(1))return e.clone();var n=new Array(16);n[0]=new i(1).toRed(this),n[1]=e;for(var r=2;r<n.length;r++)n[r]=this.mul(n[r-1],e);var a=n[0],o=0,s=0,u=t.bitLength()%26;for(0===u&&(u=26),r=t.length-1;r>=0;r--){for(var l=t.words[r],c=u-1;c>=0;c--){var f=l>>c&1;a!==n[0]&&(a=this.sqr(a)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===r&&0===c)&&(a=this.mul(a,n[o]),s=0,o=0)):s=0}u=26}return a},_.prototype.convertTo=function(e){var t=e.umod(this.m);return t===e?t.clone():t},_.prototype.convertFrom=function(e){var t=e.clone();return t.red=null,t},i.mont=function(e){return new E(e)},a(E,_),E.prototype.convertTo=function(e){return this.imod(e.ushln(this.shift))},E.prototype.convertFrom=function(e){var t=this.imod(e.mul(this.rinv));return t.red=null,t},E.prototype.imul=function(e,t){if(e.isZero()||t.isZero())return e.words[0]=0,e.length=1,e;var n=e.imul(t),r=n.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=n.isub(r).iushrn(this.shift),i=a;return a.cmp(this.m)>=0?i=a.isub(this.m):a.cmpn(0)<0&&(i=a.iadd(this.m)),i._forceRed(this)},E.prototype.mul=function(e,t){if(e.isZero()||t.isZero())return new i(0)._forceRed(this);var n=e.mul(t),r=n.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=n.isub(r).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},E.prototype.invm=function(e){return this.imod(e._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)}).call(this,n(437)(e))},function(e,t,n){"use strict";(function(e){
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  * The buffer module from node.js, for the browser.
  *
  * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>
  * @license  MIT
  */
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writeBytes=minimal.Array.prototype.set?function(e,t,n){t.set(e,n)}:function(e,t,n){for(var r=0;r<e.length;++r)t[n+r]=e[r]};Writer.prototype.bytes=function(e){var t=e.length>>>0;if(!t)return this._push(writeByte,1,0);if(minimal.isString(e)){var n=Writer.alloc(t=base64.length(e));base64.decode(e,n,0),e=n}return this.uint32(t)._push(writeBytes,t,e)},Writer.prototype.string=function(e){var t=utf8.length(e);return t?this.uint32(t)._push(utf8.write,t,e):this._push(writeByte,1,0)},Writer.prototype.fork=function(){return this.states=new State(this),this.head=this.tail=new Op(noop,0,0),this.len=0,this},Writer.prototype.reset=function(){return this.states?(this.head=this.states.head,this.tail=this.states.tail,this.len=this.states.len,this.states=this.states.next):(this.head=this.tail=new Op(noop,0,0),this.len=0),this},Writer.prototype.ldelim=function(){var e=this.head,t=this.tail,n=this.len;return this.reset().uint32(n),n&&(this.tail.next=e.next,this.tail=t,this.len+=n),this},Writer.prototype.finish=function(){for(var e=this.head.next,t=this.constructor.alloc(this.len),n=0;e;)e.fn(e.val,t,n),n+=e.len,e=e.next;return t},Writer._configure=function(e){BufferWriter=e};var writer_buffer=BufferWriter$1;(BufferWriter$1.prototype=Object.create(writer.prototype)).constructor=BufferWriter$1;var Buffer=minimal.Buffer;function BufferWriter$1(){writer.call(this)}BufferWriter$1.alloc=function(e){return(BufferWriter$1.alloc=minimal._Buffer_allocUnsafe)(e)};var writeBytesBuffer=Buffer&&Buffer.prototype instanceof Uint8Array&&"set"===Buffer.prototype.set.name?function(e,t,n){t.set(e,n)}:function(e,t,n){if(e.copy)e.copy(t,n,0,e.length);else for(var r=0;r<e.length;)t[n++]=e[r++]};function writeStringBuffer(e,t,n){e.length<40?minimal.utf8.write(e,t,n):t.utf8Write(e,n)}BufferWriter$1.prototype.bytes=function(e){minimal.isString(e)&&(e=minimal._Buffer_from(e,"base64"));var t=e.length>>>0;return this.uint32(t),t&&this._push(writeBytesBuffer,t,e),this},BufferWriter$1.prototype.string=function(e){var t=Buffer.byteLength(e);return this.uint32(t),t&&this._push(writeStringBuffer,t,e),this};var reader=Reader,BufferReader,LongBits$2=minimal.LongBits,utf8$1=minimal.utf8;function indexOutOfRange(e,t){return RangeError("index out of range: "+e.pos+" + "+(t||1)+" > "+e.len)}function Reader(e){this.buf=e,this.pos=0,this.len=e.length}var create_array="undefined"!=typeof Uint8Array?function(e){if(e instanceof Uint8Array||Array.isArray(e))return new Reader(e);throw Error("illegal buffer")}:function(e){if(Array.isArray(e))return new Reader(e);throw Error("illegal buffer")};function readLongVarint(){var e=new LongBits$2(0,0),t=0;if(!(this.len-this.pos>4)){for(;t<3;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e}return e.lo=(e.lo|(127&this.buf[this.pos++])<<7*t)>>>0,e}for(;t<4;++t)if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e;if(e.lo=(e.lo|(127&this.buf[this.pos])<<28)>>>0,e.hi=(e.hi|(127&this.buf[this.pos])>>4)>>>0,this.buf[this.pos++]<128)return e;if(t=0,this.len-this.pos>4){for(;t<5;++t)if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}else for(;t<5;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}throw Error("invalid varint encoding")}function readFixed32_end(e,t){return(e[t-4]|e[t-3]<<8|e[t-2]<<16|e[t-1]<<24)>>>0}function readFixed64(){if(this.pos+8>this.len)throw indexOutOfRange(this,8);return new LongBits$2(readFixed32_end(this.buf,this.pos+=4),readFixed32_end(this.buf,this.pos+=4))}Reader.create=minimal.Buffer?function(e){return(Reader.create=function(e){return minimal.Buffer.isBuffer(e)?new BufferReader(e):create_array(e)})(e)}:create_array,Reader.prototype._slice=minimal.Array.prototype.subarray||minimal.Array.prototype.slice,Reader.prototype.uint32=function(){var e=4294967295;return function(){if(e=(127&this.buf[this.pos])>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<7)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<14)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<21)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(15&this.buf[this.pos])<<28)>>>0,this.buf[this.pos++]<128)return e;if((this.pos+=5)>this.len)throw this.pos=this.len,indexOutOfRange(this,10);return e}}(),Reader.prototype.int32=function(){return 0|this.uint32()},Reader.prototype.sint32=function(){var e=this.uint32();return e>>>1^-(1&e)|0},Reader.prototype.bool=function(){return 0!==this.uint32()},Reader.prototype.fixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.sfixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return 0|readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.float=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readFloatLE(this.buf,this.pos);return this.pos+=4,e},Reader.prototype.double=function(){if(this.pos+8>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readDoubleLE(this.buf,this.pos);return this.pos+=8,e},Reader.prototype.bytes=function(){var e=this.uint32(),t=this.pos,n=this.pos+e;if(n>this.len)throw indexOutOfRange(this,e);return this.pos+=e,Array.isArray(this.buf)?this.buf.slice(t,n):t===n?new this.buf.constructor(0):this._slice.call(this.buf,t,n)},Reader.prototype.string=function(){var e=this.bytes();return utf8$1.read(e,0,e.length)},Reader.prototype.skip=function(e){if("number"==typeof e){if(this.pos+e>this.len)throw indexOutOfRange(this,e);this.pos+=e}else do{if(this.pos>=this.len)throw indexOutOfRange(this)}while(128&this.buf[this.pos++]);return this},Reader.prototype.skipType=function(e){switch(e){case 0:this.skip();break;case 1:this.skip(8);break;case 2:this.skip(this.uint32());break;case 3:for(;4!=(e=7&this.uint32());)this.skipType(e);break;case 5:this.skip(4);break;default:throw Error("invalid wire type "+e+" at offset "+this.pos)}return this},Reader._configure=function(e){BufferReader=e;var t=minimal.Long?"toLong":"toNumber";minimal.merge(Reader.prototype,{int64:function(){return readLongVarint.call(this)[t](!1)},uint64:function(){return readLongVarint.call(this)[t](!0)},sint64:function(){return readLongVarint.call(this).zzDecode()[t](!1)},fixed64:function(){return readFixed64.call(this)[t](!0)},sfixed64:function(){return readFixed64.call(this)[t](!1)}})};var reader_buffer=BufferReader$1;function BufferReader$1(e){reader.call(this,e)}(BufferReader$1.prototype=Object.create(reader.prototype)).constructor=BufferReader$1,minimal.Buffer&&(BufferReader$1.prototype._slice=minimal.Buffer.prototype.slice),BufferReader$1.prototype.string=function(){var e=this.uint32();return this.buf.utf8Slice(this.pos,this.pos=Math.min(this.pos+e,this.len))};var service=Service;function Service(e,t,n){if("function"!=typeof e)throw TypeError("rpcImpl must be a function");minimal.EventEmitter.call(this),this.rpcImpl=e,this.requestDelimited=Boolean(t),this.responseDelimited=Boolean(n)}(Service.prototype=Object.create(minimal.EventEmitter.prototype)).constructor=Service,Service.prototype.rpcCall=function e(t,n,r,a,i){if(!a)throw TypeError("request must be specified");var o=this;if(!i)return minimal.asPromise(e,o,t,n,r,a);if(o.rpcImpl)try{return o.rpcImpl(t,n[o.requestDelimited?"encodeDelimited":"encode"](a).finish(),function(e,n){if(e)return o.emit("error",e,t),i(e);if(null!==n){if(!(n instanceof r))try{n=r[o.responseDelimited?"decodeDelimited":"decode"](n)}catch(e){return o.emit("error",e,t),i(e)}return o.emit("data",n,t),i(null,n)}o.end(!0)})}catch(e){return o.emit("error",e,t),void setTimeout(function(){i(e)},0)}else setTimeout(function(){i(Error("already ended"))},0)},Service.prototype.end=function(e){return this.rpcImpl&&(e||this.rpcImpl(null,null,null),this.rpcImpl=null,this.emit("end").off()),this};var rpc_1=createCommonjsModule(function(e,t){t.Service=service}),roots={},indexMinimal=createCommonjsModule(function(e,t){var n=t;function r(){n.Reader._configure(n.BufferReader),n.util._configure()}n.build="minimal",n.Writer=writer,n.BufferWriter=writer_buffer,n.Reader=reader,n.BufferReader=reader_buffer,n.util=minimal,n.rpc=rpc_1,n.roots=roots,n.configure=r,n.Writer._configure(n.BufferWriter),r()}),minimal$1=indexMinimal,minimal_1=minimal$1.roots,minimal_2=minimal$1.Reader,minimal_3=minimal$1.util,$Reader=minimal$1.Reader,$util=minimal$1.util,$root=minimal$1.roots.default||(minimal$1.roots.default={});$root.tensorflow=function(){var e,t,n={};return n.Any=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.typeUrl="",e.prototype.value=$util.newBuffer([]),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Any;e.pos<n;){var a=e.uint32();switch(a>>>3){case 1:r.typeUrl=e.string();break;case 2:r.value=e.bytes();break;default:e.skipType(7&a)}}return r},e}(),n.DataType=(e={},(t=Object.create(e))[e[0]="DT_INVALID"]=0,t[e[1]="DT_FLOAT"]=1,t[e[2]="DT_DOUBLE"]=2,t[e[3]="DT_INT32"]=3,t[e[4]="DT_UINT8"]=4,t[e[5]="DT_INT16"]=5,t[e[6]="DT_INT8"]=6,t[e[7]="DT_STRING"]=7,t[e[8]="DT_COMPLEX64"]=8,t[e[9]="DT_INT64"]=9,t[e[10]="DT_BOOL"]=10,t[e[11]="DT_QINT8"]=11,t[e[12]="DT_QUINT8"]=12,t[e[13]="DT_QINT32"]=13,t[e[14]="DT_BFLOAT16"]=14,t[e[101]="DT_FLOAT_REF"]=101,t[e[102]="DT_DOUBLE_REF"]=102,t[e[103]="DT_INT32_REF"]=103,t[e[104]="DT_UINT8_REF"]=104,t[e[105]="DT_INT16_REF"]=105,t[e[106]="DT_INT8_REF"]=106,t[e[107]="DT_STRING_REF"]=107,t[e[108]="DT_COMPLEX64_REF"]=108,t[e[109]="DT_INT64_REF"]=109,t[e[110]="DT_BOOL_REF"]=110,t[e[111]="DT_QINT8_REF"]=111,t[e[112]="DT_QUINT8_REF"]=112,t[e[113]="DT_QINT32_REF"]=113,t[e[114]="DT_BFLOAT16_REF"]=114,t),n.TensorShape=function(){function e(e){if(this.dim=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.dim=$util.emptyArray,e.prototype.unknownRank=!1,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape;e.pos<n;){var a=e.uint32();switch(a>>>3){case 2:r.dim&&r.dim.length||(r.dim=[]),r.dim.push($root.tensorflow.TensorShape.Dim.decode(e,e.uint32()));break;case 3:r.unknownRank=e.bool();break;default:e.skipType(7&a)}}return r},e.Dim=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.size=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.name="",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape.Dim;e.pos<n;){var a=e.uint32();switch(a>>>3){case 1:r.size=e.int64();break;case 2:r.name=e.string();break;default:e.skipType(7&a)}}return r},e}(),e}(),n.Tensor=function(){function e(e){if(this.floatVal=[],this.doubleVal=[],this.intVal=[],this.stringVal=[],this.scomplexVal=[],this.int64Val=[],this.boolVal=[],this.uint32Val=[],this.uint64Val=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.dtype=0,e.prototype.tensorShape=null,e.prototype.versionNumber=0,e.prototype.tensorContent=$util.newBuffer([]),e.prototype.floatVal=$util.emptyArray,e.prototype.doubleVal=$util.emptyArray,e.prototype.intVal=$util.emptyArray,e.prototype.stringVal=$util.emptyArray,e.prototype.scomplexVal=$util.emptyArray,e.prototype.int64Val=$util.emptyArray,e.prototype.boolVal=$util.emptyArray,e.prototype.uint32Val=$util.emptyArray,e.prototype.uint64Val=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Tensor;e.pos<n;){var a=e.uint32();switch(a>>>3){case 1:r.dtype=e.int32();break;case 2:r.tensorShape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 3:r.versionNumber=e.int32();break;case 4:r.tensorContent=e.bytes();break;case 5:if(r.floatVal&&r.floatVal.length||(r.floatVal=[]),2==(7&a))for(var i=e.uint32()+e.pos;e.pos<i;)r.floatVal.push(e.float());else r.floatVal.push(e.float());break;case 6:if(r.doubleVal&&r.doubleVal.length||(r.doubleVal=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.doubleVal.push(e.double());else r.doubleVal.push(e.double());break;case 7:if(r.intVal&&r.intVal.length||(r.intVal=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.intVal.push(e.int32());else r.intVal.push(e.int32());break;case 8:r.stringVal&&r.stringVal.length||(r.stringVal=[]),r.stringVal.push(e.bytes());break;case 9:if(r.scomplexVal&&r.scomplexVal.length||(r.scomplexVal=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.scomplexVal.push(e.float());else r.scomplexVal.push(e.float());break;case 10:if(r.int64Val&&r.int64Val.length||(r.int64Val=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.int64Val.push(e.int64());else r.int64Val.push(e.int64());break;case 11:if(r.boolVal&&r.boolVal.length||(r.boolVal=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.boolVal.push(e.bool());else r.boolVal.push(e.bool());break;case 16:if(r.uint32Val&&r.uint32Val.length||(r.uint32Val=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.uint32Val.push(e.uint32());else r.uint32Val.push(e.uint32());break;case 17:if(r.uint64Val&&r.uint64Val.length||(r.uint64Val=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.uint64Val.push(e.uint64());else r.uint64Val.push(e.uint64());break;default:e.skipType(7&a)}}return r},e}(),n.AttrValue=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}var t;return e.prototype.list=null,e.prototype.s=$util.newBuffer([]),e.prototype.i=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.f=0,e.prototype.b=!1,e.prototype.type=0,e.prototype.shape=null,e.prototype.tensor=null,e.prototype.placeholder="",e.prototype.func=null,Object.defineProperty(e.prototype,"value",{get:$util.oneOfGetter(t=["list","s","i","f","b","type","shape","tensor","placeholder","func"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue;e.pos<n;){var a=e.uint32();switch(a>>>3){case 1:r.list=$root.tensorflow.AttrValue.ListValue.decode(e,e.uint32());break;case 2:r.s=e.bytes();break;case 3:r.i=e.int64();break;case 4:r.f=e.float();break;case 5:r.b=e.bool();break;case 6:r.type=e.int32();break;case 7:r.shape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 8:r.tensor=$root.tensorflow.Tensor.decode(e,e.uint32());break;case 9:r.placeholder=e.string();break;case 10:r.func=$root.tensorflow.NameAttrList.decode(e,e.uint32());break;default:e.skipType(7&a)}}return r},e.ListValue=function(){function e(e){if(this.s=[],this.i=[],this.f=[],this.b=[],this.type=[],this.shape=[],this.tensor=[],this.func=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.s=$util.emptyArray,e.prototype.i=$util.emptyArray,e.prototype.f=$util.emptyArray,e.prototype.b=$util.emptyArray,e.prototype.type=$util.emptyArray,e.prototype.shape=$util.emptyArray,e.prototype.tensor=$util.emptyArray,e.prototype.func=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue.ListValue;e.pos<n;){var a=e.uint32();switch(a>>>3){case 2:r.s&&r.s.length||(r.s=[]),r.s.push(e.bytes());break;case 3:if(r.i&&r.i.length||(r.i=[]),2==(7&a))for(var i=e.uint32()+e.pos;e.pos<i;)r.i.push(e.int64());else r.i.push(e.int64());break;case 4:if(r.f&&r.f.length||(r.f=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.f.push(e.float());else r.f.push(e.float());break;case 5:if(r.b&&r.b.length||(r.b=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.b.push(e.bool());else r.b.push(e.bool());break;case 6:if(r.type&&r.type.length||(r.type=[]),2==(7&a))for(i=e.uint32()+e.pos;e.pos<i;)r.type.push(e.int32());else r.type.push(e.int32());break;case 7:r.shape&&r.shape.length||(r.shape=[]),r.shape.push($root.tensorflow.TensorShape.decode(e,e.uint32()));break;case 8:r.tensor&&r.tensor.length||(r.tensor=[]),r.tensor.push($root.tensorflow.Tensor.decode(e,e.uint32()));break;case 9:r.func&&r.func.length||(r.func=[]),r.func.push($root.tensorflow.NameAttrList.decode(e,e.uint32()));break;default:e.skipType(7&a)}}return r},e}(),e}(),n.NameAttrList=function(){function e(e){if(this.attr={},e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.name="",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n,r=void 0===t?e.len:e.pos+t,a=new $root.tensorflow.NameAttrList;e.pos<r;){var i=e.uint32();switch(i>>>3){case 1:a.name=e.string();break;case 2:e.skip().pos++,a.attr===$util.emptyObject&&(a.attr={}),n=e.string(),e.pos++,a.attr[n]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&i)}}return a},e}(),n.NodeDef=function(){function e(e){if(this.input=[],this.attr={},e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.name="",e.prototype.op="",e.prototype.input=$util.emptyArray,e.prototype.device="",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n,r=void 0===t?e.len:e.pos+t,a=new $root.tensorflow.NodeDef;e.pos<r;){var i=e.uint32();switch(i>>>3){case 1:a.name=e.string();break;case 2:a.op=e.string();break;case 3:a.input&&a.input.length||(a.input=[]),a.input.push(e.string());break;case 4:a.device=e.string();break;case 5:e.skip().pos++,a.attr===$util.emptyObject&&(a.attr={}),n=e.string(),e.pos++,a.attr[n]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&i)}}return a},e}(),n.VersionDef=function(){function e(e){if(this.badConsumers=[],e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.producer=0,e.prototype.minConsumer=0,e.prototype.badConsumers=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.VersionDef;e.pos<n;){var a=e.uint32();switch(a>>>3){case 1:r.producer=e.int32();break;case 2:r.minConsumer=e.int32();break;case 3:if(r.badConsumers&&r.badConsumers.length||(r.badConsumers=[]),2==(7&a))for(var i=e.uint32()+e.pos;e.pos<i;)r.badConsumers.push(e.int32());else r.badConsumers.push(e.int32());break;default:e.skipType(7&a)}}return 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,type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",dlOpName:"lessEqual",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",dlOpName:"logicalAnd",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",dlOpName:"logicalNot",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",dlOpName:"logicalOr",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",dlOpName:"where",category:"logical",params:[{tfInputIndex:0,dlParamName:"condition",type:"tensor"},{tfInputIndex:1,dlParamName:"a",type:"tensor"},{tfInputIndex:2,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]}],logical=Object.freeze({json:json$9}),json$10=[{tfOpName:"MatMul",dlOpName:"matMul",category:"matrices",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"transpose_a",dlParamName:"transposeA",type:"bool",defaultValue:!1},{tfParamName:"transpose_b",dlParamName:"transposeB",type:"bool",defaultValue:!1},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",dlOpName:"transpose",category:"matrices",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"perm",type:"number[]"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]}],matrices=Object.freeze({json:json$10}),json$11=[{tfOpName:"FusedBatchNorm",dlOpName:"batchNormalization",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"scale",type:"tensor"},{tfInputIndex:2,dlParamName:"offset",type:"tensor"},{tfInputIndex:3,dlParamName:"mean",type:"tensor"},{tfInputIndex:4,dlParamName:"variance",type:"tensor"},{tfParamName:"epsilon",dlParamName:"epsilon",type:"number",defaultValue:.001},{tfParamName:"data_format",dlParamName:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",dlOpName:"batchNormalization",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"scale",type:"tensor"},{tfInputIndex:2,dlParamName:"offset",type:"tensor"},{tfInputIndex:3,dlParamName:"mean",type:"tensor"},{tfInputIndex:4,dlParamName:"variance",type:"tensor"},{tfParamName:"epsilon",dlParamName:"epsilon",type:"number",defaultValue:.001},{tfParamName:"data_format",dlParamName:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",dlOpName:"localResponseNormalization",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"depth_radius",dlParamName:"radius",type:"number",defaultValue:5},{tfParamName:"bias",dlParamName:"bias",type:"number",defaultValue:1},{tfParamName:"alpha",dlParamName:"alpha",type:"number",defaultValue:1},{tfParamName:"beta",dlParamName:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",dlOpName:"softmax",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"}]}],normalization=Object.freeze({json:json$11}),json$12=[{tfOpName:"Max",dlOpName:"max",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Mean",dlOpName:"mean",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Min",dlOpName:"min",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Sum",dlOpName:"sum",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"All",dlOpName:"all",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Any",dlOpName:"any",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",dlOpName:"argMax",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"ArgMin",dlOpName:"argMin",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]}],reduction=Object.freeze({json:json$12}),json$13=[{tfOpName:"ConcatV2",dlOpName:"concat",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:1,dlParamName:"tensors",type:"tensors"},{tfInputIndex:-1,dlParamName:"axis",type:"number"}]},{tfOpName:"Concat",dlOpName:"concat",category:"slice_join",params:[{tfInputIndex:1,tfInputParamLength:1,dlParamName:"tensors",type:"tensors"},{tfInputIndex:0,dlParamName:"axis",type:"number"}]},{tfOpName:"GatherV2",dlOpName:"gather",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"indices",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0}]},{tfOpName:"Gather",dlOpName:"gather",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"indices",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0},{tfParamName:"validate_indices",dlParamName:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",dlOpName:"reverse",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"ReverseV2",dlOpName:"reverse",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"Slice",dlOpName:"slice",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"begin",type:"number[]"},{tfInputIndex:2,dlParamName:"size",type:"number[]"}]},{tfOpName:"StridedSlice",dlOpName:"stridedSlice",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"begin",type:"number[]"},{tfInputIndex:2,dlParamName:"end",type:"number[]"},{tfInputIndex:3,dlParamName:"strides",type:"number[]"},{tfParamName:"begin_mask",dlParamName:"beginMask",type:"number",defaultValue:0},{tfParamName:"end_mask",dlParamName:"endMask",type:"number",defaultValue:0},{tfParamName:"new_axis_mask",dlParamName:"newAxisMask",type:"number",defaultValue:0},{tfParamName:"ellipsis_mask",dlParamName:"ellipsisMask",type:"number",defaultValue:0},{tfParamName:"shrink_axis_mask",dlParamName:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",dlOpName:"stack",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:0,dlParamName:"tensors",type:"tensors"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",dlOpName:"unstack",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:0,dlParamName:"tensor",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0},{tfParamName:"num",dlParamName:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",dlOpName:"tile",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"reps",type:"number[]"}]},{tfOpName:"Split",dlOpName:"split",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"axis",type:"number",defaultValue:0},{tfInputIndex:1,dlParamName:"x",type:"tensor"},{tfParamName:"num_split",dlParamName:"numOrSizeSplits",type:"number",defaultValue:1}]}],sliceJoin=Object.freeze({json:json$13}),json$14=[{tfOpName:"Cast",dlOpName:"cast",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"SrcT",dlParamName:"sdtype",type:"dtype",notSupported:!0},{tfParamName:"DstT",dlParamName:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",dlOpName:"expandDims",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,tfParamNameDeprecated:"dim",dlParamName:"axis",type:"number"}]},{tfOpName:"Pad",dlOpName:"pad",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"padding",type:"number[]"},{tfParamName:"constant_value",dlParamName:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",dlOpName:"pad",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"padding",type:"number[]"},{tfInputIndex:2,dlParamName:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",dlOpName:"reshape",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"shape",type:"number[]"}]},{tfOpName:"Squeeze",dlOpName:"squeeze",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"axis",tfParamNameDeprecated:"squeeze_dims",dlParamName:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",dlOpName:"spaceToBatchND",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"blockShape",type:"number[]"},{tfInputIndex:2,dlParamName:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",dlOpName:"batchToSpaceND",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"blockShape",type:"number[]"},{tfInputIndex:2,dlParamName:"crops",type:"number[]"}]}],transformation=Object.freeze({json:json$14}),CONTROL_FLOW_OPS=["Switch","Merge","Enter","Exit","NextIteration"],DYNAMIC_SHAPE_OPS=["NonMaxSuppressionV2","NonMaxSuppressionV3","Where"],OperationMapper=function(){function e(){var e=[arithmetic,basicMath,control,convolution,creation,dynamic,evaluation,logical,image$1,graph,matrices,normalization,reduction,sliceJoin,transformation],t=[].concat.apply([],e.map(function(e){return e.json}));this.opMappers=t.reduce(function(e,t){return e[t.tfOpName]=t,e},{})}return Object.defineProperty(e,"Instance",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),e.prototype.isControlFlow=function(e){return CONTROL_FLOW_OPS.some(function(t){return t===e.op})},e.prototype.isDynamicShape=function(e){return DYNAMIC_SHAPE_OPS.some(function(t){return t===e.op})},e.prototype.transformGraph=function(e){var t=this,n=!1,r=!1,a=[],i=[],o=e.node.reduce(function(e,o){return e[o.name]=t.mapNode(o),t.isControlFlow(o)&&(n=!0),t.isDynamicShape(o)&&(r=!0),"Placeholder"===o.op&&a.push(e[o.name]),"Const"===o.op&&i.push(e[o.name]),e},{}),s=[],u=[];return Object.keys(o).forEach(function(e){var t=o[e];t.inputNames.forEach(function(e){var n=getNodeNameAndIndex(e)[0];t.inputs.push(o[n]),o[n].children.push(t)}),0===t.inputs.length&&s.push(t)}),Object.keys(o).forEach(function(e){var t=o[e];0===t.children.length&&u.push(t)}),{nodes:o,inputs:s,outputs:u,weights:i,placeholders:a,withControlFlow:n,withDynamicShape:r}},e.prototype.mapNode=function(e){var t=this,n=this.opMappers[e.op];if(void 0===n)throw new Error("Tensorflow Op is not supported: "+e.op);var r={name:e.name,op:n.dlOpName,category:n.category,inputNames:(e.input||[]).map(function(e){return e.startsWith("^")?e.substr(1):e}),inputs:[],children:[],params:{}};return n.params&&(r.params=n.params.reduce(function(n,r){var a=r.tfInputIndex,i=r.tfInputParamLength,o=r.type,s=void 0;if(void 0===a)switch(r.type){case"string":void 0===(s=t.getStringParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getStringParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"number":void 0===(s=t.getNumberParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getNumberParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"number[]":void 0===(s=t.getNumericArrayParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getNumericArrayParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"bool":void 0===(s=t.getBoolParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getBoolParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"shape":void 0===(s=t.getTensorShapeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getTensorShapeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"dtype":void 0===(s=t.getDtypeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getDtypeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+r.type+" for op: "+e.op)}return n[r.dlParamName]={value:s,inputIndex:a,type:o,inputParamLength:i},n},{})),r},e.prototype.getStringParam=function(e,t,n,r){void 0===r&&(r=!1);var a=e[t];if(void 0!==a){var i=String.fromCharCode.apply(null,a.s);return r?i:i.toLowerCase()}return n},e.prototype.getBoolParam=function(e,t,n){var r=e[t];return r?r.b:n},e.prototype.getNumberParam=function(e,t,n){var r=e[t],a=r?r[r.value]:n;return"number"==typeof a?a:a.toInt()},e.prototype.getDtypeParam=function(e,t,n){var r=e[t];if(r&&r.type)switch(r.type){case compiled_api_1.DataType.DT_FLOAT:return"float32";case compiled_api_1.DataType.DT_INT32:return"int32";case compiled_api_1.DataType.DT_BOOL:return"bool";default:return n}return n},e.prototype.getTensorShapeParam=function(e,t,n){var r=e[t];return r&&r.shape?r.shape.dim.map(function(e){return"number"==typeof e.size?e.size:e.size.toInt()}):n},e.prototype.getNumericArrayParam=function(e,t,n){var r=e[t];return r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(e){return"number"==typeof e?e:e.toInt()}):n},e}(),executeOp=function(e,t,n){switch(e.op){case"add":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.s)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"addN":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.t)(getParamValue("tensors",e,t,n))];case"mod":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Kb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"mul":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ob)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"div":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ha)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"floorDiv":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Va)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"sub":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.bd)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"minimum":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ib)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"maximum":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Db)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"pow":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hc)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"squaredDifference":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Vc)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$1=function(e,t,n){switch(e.op){case"abs":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.p)(getParamValue("x",e,t,n))];case"acos":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.q)(getParamValue("x",e,t,n))];case"acosh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.r)(getParamValue("x",e,t,n))];case"asin":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.z)(getParamValue("x",e,t,n))];case"asinh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.A)(getParamValue("x",e,t,n))];case"atan":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.B)(getParamValue("x",e,t,n))];case"atanh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.D)(getParamValue("x",e,t,n))];case"ceil":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.N)(getParamValue("x",e,t,n))];case"cos":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Z)(getParamValue("x",e,t,n))];case"cosh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Aa)(getParamValue("x",e,t,n))];case"elu":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ka)(getParamValue("x",e,t,n))];case"erf":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Oa)(getParamValue("x",e,t,n))];case"exp":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Pa)(getParamValue("x",e,t,n))];case"expm1":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ra)(getParamValue("x",e,t,n))];case"floor":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ua)(getParamValue("x",e,t,n))];case"log":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.rb)(getParamValue("x",e,t,n))];case"log1p":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.sb)(getParamValue("x",e,t,n))];case"neg":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Sb)(getParamValue("x",e,t,n))];case"reciprocal":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.rc)(getParamValue("x",e,t,n))];case"relu":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.sc)(getParamValue("x",e,t,n))];case"round":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.zc)(getParamValue("x",e,t,n))];case"selu":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Cc)(getParamValue("x",e,t,n))];case"sigmoid":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Gc)(getParamValue("x",e,t,n))];case"sin":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ic)(getParamValue("x",e,t,n))];case"sign":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Hc)(getParamValue("x",e,t,n))];case"sinh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Jc)(getParamValue("x",e,t,n))];case"softplus":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Qc)(getParamValue("x",e,t,n))];case"sqrt":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Tc)(getParamValue("x",e,t,n))];case"square":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Uc)(getParamValue("x",e,t,n))];case"tanh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.fd)(getParamValue("x",e,t,n))];case"tan":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.ed)(getParamValue("x",e,t,n))];case"clipByValue":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.O)(getParamValue("x",e,t,n),getParamValue("clipValueMin",e,t,n),getParamValue("clipValueMax",e,t,n))];case"rsqrt":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ha)(Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1,"float32"),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Tc)(getTensor(e.inputNames[0],t,n)))];default:throw TypeError("Node type "+e.op+" is not implemented")}},TensorArray=function(){function e(t,n,r,a,i,o,s){this.name=t,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0===this.size()&&0===this.elementShape.length&&(this.elementShape=t.shape),this.assertShapesMatch(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),n&&n.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been read.");if(n&&n.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");n.tensor=t,n.written=!0,this.tensors[e]=n},e.prototype.writeMany=function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach(function(e,r){return n.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+t);if(!e){e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gd)([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatch(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Yc)(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gd)([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return this.assertShapesMatch(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.R)(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+t.shape[0]);var n=Math.max.apply(Math,e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size ("+n+"  vs. "+this.maxSize+")");this.writeMany(e,Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.xd)(t,0))},e.prototype.split=function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);var r=0,a=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){t=t.reshape([1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,e[s],i];o[s]=Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Kc)(t,u,l).reshape(n.elementShape)}return o});for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)},e.prototype.assertShapesMatch=function(e,t,n){void 0===n&&(n=""),_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.assert(this.arraysEqual(e,t),n+" Shapes "+e+" and "+t+" must match")},e.prototype.arraysEqual=function(e,t){if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(-1!==e[n]&&-1!==t[n]&&e[n]!==t[n])return!1;return!0},e.nextId=0,e}();function executeOp$2(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,a,i,o,s,u,l,c,f,p,h,d,m,g,y,v,b,w,x,_,E,N,S,O,k,I,C,P,A,T,M,R,D,j,L;return __generator(this,function(B){switch(B.label){case 0:switch(e.op){case"loopCond":return[3,1];case"switch":return[3,2];case"merge":return[3,4];case"enter":return[3,5];case"exit":return[3,6];case"nextIteration":return[3,7];case"tensorArray":return[3,8];case"tensorArrayWrite":return[3,9];case"tensorArrayRead":return[3,10];case"tensorArrayGather":return[3,11];case"tensorArrayScatter":return[3,12];case"tensorArrayConcat":return[3,13];case"tensorArraySplit":return[3,14];case"tensorArraySize":return[3,15];case"tensorArrayClose":return[3,16]}return[3,17];case 1:return[2,[getParamValue("pred",e,t,n)]];case 2:return r=getParamValue("pred",e,t,n),a=getParamValue("data",e,t,n),[4,r.data()];case 3:return[2,B.sent()[0]?[void 0,a]:[a,void 0]];case 4:return[2,(i=e.inputNames.find(function(e){return void 0!==getTensor(e,t,n)}))?[getTensor(i,t,n)]:void 0];case 5:return o=getParamValue("frameName",e,t,n),s=getParamValue("tensor",e,t,n),n.enterFrame(o),[2,[s]];case 6:return u=getParamValue("tensor",e,t,n),n.exitFrame(),[2,[u]];case 7:return l=getParamValue("tensor",e,t,n),n.nextIteration(),[2,[l]];case 8:return c=getParamValue("size",e,t,n),f=getParamValue("dtype",e,t,n),p=getParamValue("elementShape",e,t,n),h=getParamValue("dynamicSize",e,t,n),d=getParamValue("clearAfterRead",e,t,n),m=getParamValue("identicalElementShapes",e,t,n),g=getParamValue("name",e,t,n),y=new TensorArray(g,f,c,p,m,h,d),n.addTensorArray(y),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(y.id),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 9:return v=getParamValue("tensorArrayId",e,t,n),b=getParamValue("index",e,t,n),w=getParamValue("tensor",e,t,n),n.getTensorArray(v).write(b,w),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 10:return x=getParamValue("tensorArrayId",e,t,n),_=getParamValue("index",e,t,n),[2,[n.getTensorArray(x).read(_)]];case 11:return E=getParamValue("tensorArrayId",e,t,n),N=getParamValue("indices",e,t,n),S=getParamValue("dtype",e,t,n),[2,[n.getTensorArray(E).gather(N,S)]];case 12:return O=getParamValue("tensorArrayId",e,t,n),k=getParamValue("indices",e,t,n),I=getParamValue("tensor",e,t,n),n.getTensorArray(O).scatter(k,I),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 13:return C=getParamValue("tensorArrayId",e,t,n),P=n.getTensorArray(C),A=getParamValue("dtype",e,t,n),[2,[P.concat(A)]];case 14:return T=getParamValue("tensorArrayId",e,t,n),M=getParamValue("tensor",e,t,n),R=getParamValue("lengths",e,t,n),n.getTensorArray(T).split(R,M),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 15:return D=getParamValue("tensorArrayId",e,t,n),j=n.getTensorArray(D),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(j.size(),"int32")]];case 16:return L=getParamValue("tensorArrayId",e,t,n),n.getTensorArray(L).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})}var executeOp$3=function(e,t,n){switch(e.op){case"conv1d":var r=getParamValue("stride",e,t,n),a=getParamValue("pad",e,t,n),i=getParamValue("dataFormat",e,t,n).toUpperCase(),o=getParamValue("dilation",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.W)(getParamValue("x",e,t,n),getParamValue("filter",e,t,n),r,a,i,o)];case"conv2d":r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),i=getParamValue("dataFormat",e,t,n).toUpperCase();var s=getParamValue("dilations",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.X)(getParamValue("x",e,t,n),getParamValue("filter",e,t,n),[r[1],r[2]],a,i,[s[0],s[1]])];case"conv2dTranspose":var u=getParamValue("outputShape",e,t,n);return r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Y)(getParamValue("x",e,t,n),getParamValue("filter",e,t,n),u,[r[1],r[2]],a)];case"depthwiseConv2d":return r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),s=getParamValue("dilations",e,t,n),i=getParamValue("dataFormat",e,t,n).toUpperCase(),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ea)(getParamValue("input",e,t,n),getParamValue("filter",e,t,n),[r[1],r[2]],a,i,[s[0],s[1]])];case"avgPool":r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n);var l=getParamValue("kernelSize",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.E)(getParamValue("x",e,t,n),[l[1],l[2]],[r[1],r[2]],a)];case"maxPool":return r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),l=getParamValue("kernelSize",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Cb)(getParamValue("x",e,t,n),[l[1],l[2]],[r[1],r[2]],a)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$4=function(e,t,n){switch(e.op){case"fill":var r=getParamValue("shape",e,t,n),a=getParamValue("dtype",e,t,n),i=getParamValue("value",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ta)(r,i,a)];case"linspace":var o=getParamValue("start",e,t,n),s=getParamValue("stop",e,t,n),u=getParamValue("num",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.pb)(o,s,u)];case"oneHot":var l=getParamValue("indices",e,t,n),c=getParamValue("depth",e,t,n),f=getParamValue("onValue",e,t,n),p=getParamValue("offValue",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Xb)(l,c,f,p)];case"ones":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Yb)(getParamValue("shape",e,t,n),getParamValue("dtype",e,t,n))];case"onesLike":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Zb)(getParamValue("x",e,t,n))];case"randomUniform":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.oc)(getParamValue("shape",e,t,n),getParamValue("minval",e,t,n),getParamValue("maxval",e,t,n),getParamValue("dtype",e,t,n))];case"range":o=getParamValue("start",e,t,n);var h=getParamValue("stop",e,t,n),d=getParamValue("step",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.pc)(o,h,d,getParamValue("dtype",e,t,n))];case"truncatedNormal":r=getParamValue("shape",e,t,n);var m=getParamValue("mean",e,t,n),g=getParamValue("stdDev",e,t,n),y=getParamValue("seed",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.vd)(r,m,g,getParamValue("dtype",e,t,n),y)];case"zeros":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Hd)(getParamValue("shape",e,t,n),getParamValue("dtype",e,t,n))];case"zerosLike":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Id)(getParamValue("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}};function executeOp$5(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,a,i,o,s;return __generator(this,function(u){switch(u.label){case 0:switch(e.op){case"nonMaxSuppression":return[3,1];case"whereAsync":return[3,3]}return[3,5];case 1:return r=getParamValue("boxes",e,t,n),a=getParamValue("scores",e,t,n),i=getParamValue("maxOutputSize",e,t,n),o=getParamValue("iouThreshold",e,t,n),s=getParamValue("scoreThreshold",e,t,n),[4,_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gb.nonMaxSuppressionAsync(r,a,i,o,s)];case 2:return[2,[u.sent()]];case 3:return[4,Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Gd)(getParamValue("condition",e,t,n))];case 4:return[2,[u.sent()]];case 5:throw TypeError("Node type "+e.op+" is not implemented")}})})}var executeOp$6=function(e,t,n){switch(e.op){case"topK":var r=getParamValue("x",e,t,n),a=getParamValue("k",e,t,n),i=getParamValue("sorted",e,t,n),o=Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.sd)(r,a,i);return[o.values,o.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$7=function(e,t,n){switch(e.op){case"const":return t[e.name];case"placeholder":var r=getParamValue("default",e,t,n);return[getTensor(e.name,t,n)||r];case"identity":case"stopGradient":case"fakeQuantWithMinMaxVars":return[getParamValue("x",e,t,n)];case"snapshot":return[getParamValue("x",e,t,n).clone()];case"shape":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hd)(getParamValue("x",e,t,n).shape,"int32")];case"shapeN":return getParamValue("x",e,t,n).map(function(e){return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hd)(e.shape)});case"size":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(getParamValue("x",e,t,n).size,"int32")];case"rank":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(getParamValue("x",e,t,n).rank,"int32")];case"noop":return[];case"print":var a=getParamValue("x",e,t,n),i=getParamValue("data",e,t,n),o=getParamValue("message",e,t,n),s=getParamValue("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<i.length;u++)console.log(Array.prototype.slice.call(i[0].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$8=function(e,t,n){switch(e.op){case"resizeBilinear":var r=getParamValue("images",e,t,n),a=getParamValue("size",e,t,n),i=getParamValue("alignCorners",e,t,n);return[_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gb.resizeBilinear(r,[a[0],a[1]],i)];case"resizeNearestNeighbor":return r=getParamValue("images",e,t,n),a=getParamValue("size",e,t,n),i=getParamValue("alignCorners",e,t,n),[_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gb.resizeNearestNeighbor(r,[a[0],a[1]],i)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$9=function(e,t,n){switch(e.op){case"equal":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ma)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"notEqual":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Vb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"greater":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.bb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"greaterEqual":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.cb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"less":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.kb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"lessEqual":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.lb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"logicalAnd":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.vb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"logicalNot":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.wb)(getParamValue("a",e,t,n))];case"logicalOr":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.xb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"where":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Fd)(getParamValue("condition",e,t,n),getParamValue("a",e,t,n),getParamValue("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$10=function(e,t,n){switch(e.op){case"matMul":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ab)(getParamValue("a",e,t,n),getParamValue("b",e,t,n),getParamValue("transposeA",e,t,n),getParamValue("transposeB",e,t,n))];case"transpose":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.ud)(getParamValue("x",e,t,n),getParamValue("perm",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$11=function(e,t,n){switch(e.op){case"batchNormalization":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.G)(getParamValue("x",e,t,n),getParamValue("mean",e,t,n),getParamValue("variance",e,t,n),getParamValue("epsilon",e,t,n),getParamValue("scale",e,t,n),getParamValue("offset",e,t,n))];case"localResponseNormalization":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.qb)(getParamValue("x",e,t,n),getParamValue("radius",e,t,n),getParamValue("bias",e,t,n),getParamValue("alpha",e,t,n),getParamValue("beta",e,t,n))];case"softmax":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Pc)(getParamValue("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$12=function(e,t,n){switch(e.op){case"max":var r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bb)(getParamValue("x",e,t,n),r,a)];case"mean":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Fb)(getParamValue("x",e,t,n),r,a)];case"min":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Hb)(getParamValue("x",e,t,n),r,a)];case"sum":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.dd)(getParamValue("x",e,t,n),r,a)];case"all":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.v)(getParamValue("x",e,t,n),r,a)];case"any":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.w)(getParamValue("x",e,t,n),r,a)];case"argMax":return r=getParamValue("axis",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.x)(getParamValue("x",e,t,n),r)];case"argMin":return r=getParamValue("axis",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.y)(getParamValue("x",e,t,n),r)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$13=function(e,t,n){switch(e.op){case"concat":var r=getParamValue("axis",e,t,n),a=getParamValue("tensors",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.R)(a,r)];case"gather":r=getParamValue("axis",e,t,n);var i=getParamValue("x",e,t,n),o=getParamValue("indices",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Xa)(i,o,r)];case"reverse":return r=getParamValue("axis",e,t,n),i=getParamValue("x",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.uc)(i,r)];case"slice":var s=getParamValue("begin",e,t,n),u=getParamValue("size",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Kc)(getParamValue("x",e,t,n),s,u)];case"stridedSlice":s=getParamValue("begin",e,t,n);var l=getParamValue("end",e,t,n),c=getParamValue("strides",e,t,n),f=getParamValue("beginMask",e,t,n),p=getParamValue("endMask",e,t,n),h=getParamValue("ellipsisMask",e,t,n),d=getParamValue("newAxisMask",e,t,n),m=getParamValue("shrinkAxisMask",e,t,n),g=getParamValue("x",e,t,n);if(1===s.length&&g.shape.length>1)for(var y=1;y<g.shape.length;y++)s.push(0),l.push(g.shape[y]),c.push(c[0]);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.ad)(g,s,l,c,f,p,h,d,m)];case"stack":return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){var r=getParamValue("axis",e,t,n),a=getParamValue("tensors",e,t,n),i=a[0].shape,o=a[0].squeeze().shape,s=a.map(function(e){var t=_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.arraysEqual(e.shape,i);if(!t&&!_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.arraysEqual(e.squeeze().shape,o))throw new Error("the input tensors shape does not match");return t?e:e.reshape(i)});return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Yc)(s,r)]});case"unstack":return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){var r=getParamValue("axis",e,t,n),a=getParamValue("tensor",e,t,n);return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.xd)(a,r)});case"tile":var v=getParamValue("reps",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.pd)(getParamValue("x",e,t,n),v)];case"split":r=getParamValue("axis",e,t,n);var b=getParamValue("numOrSizeSplits",e,t,n);return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Sc)(getParamValue("x",e,t,n),b,r);default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$14=function(e,t,n){switch(e.op){case"cast":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.M)(getParamValue("x",e,t,n),getParamValue("dtype",e,t,n))];case"expandDims":var r=getParamValue("axis",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Qa)(getParamValue("x",e,t,n),r)];case"squeeze":return r=getParamValue("axis",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Xc)(getParamValue("x",e,t,n),r)];case"reshape":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.tc)(getParamValue("x",e,t,n),getParamValue("shape",e,t,n))];case"pad":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.cc)(getParamValue("x",e,t,n),split$1(getParamValue("padding",e,t,n),2),getParamValue("constantValue",e,t,n))];case"spaceToBatchND":var a=getParamValue("blockShape",e,t,n),i=split$1(getParamValue("paddings",e,t,n),2);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Rc)(getParamValue("x",e,t,n),a,i)];case"batchToSpaceND":a=getParamValue("blockShape",e,t,n);var o=split$1(getParamValue("crops",e,t,n),2);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.K)(getParamValue("x",e,t,n),a,o)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function executeOp$15(e,t,n){switch(e.category){case"arithmetic":return executeOp(e,t,n);case"basic_math":return executeOp$1(e,t,n);case"control":return executeOp$2(e,t,n);case"convolution":return executeOp$3(e,t,n);case"creation":return executeOp$4(e,t,n);case"dynamic":return executeOp$5(e,t,n);case"evaluation":return executeOp$6(e,t,n);case"image":return executeOp$8(e,t,n);case"graph":return executeOp$7(e,t,n);case"logical":return executeOp$9(e,t,n);case"matrices":return executeOp$10(e,t,n);case"normalization":return executeOp$11(e,t,n);case"reduction":return executeOp$12(e,t,n);case"slice_join":return executeOp$13(e,t,n);case"transformation":return executeOp$14(e,t,n);default:throw TypeError("Node type "+e.op+" is not implemented")}}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}(),GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=e.placeholders,this._outputs=e.outputs,this.compile()}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.placeholders.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.placeholders.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.outputs.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"isControlFlowModel",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"isDynamicShapeModel",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),e.prototype.compile=function(e){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var t=[],n=e||this.graph.placeholders,r=n.map(function(e){return e.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var a=n.concat(this.graph.weights),i={};a.length>0;){var o=a.pop();i[o.name]=!0,t.push(o),o.children.forEach(function(e){!i[e.name]&&e.inputNames.every(function(e){var t=getNodeNameAndIndex(e)[0];return i[t]})&&a.push(e)})}this.compiledMap.set(r,t)}}},e.prototype.execute=function(e,t,n){var r=this;void 0===t&&(t=!0);var a=Object.keys(e).sort();this.checkInput(e,t),this.checkInputShapeAndType(e,t),this.compile(a.map(function(e){return r.graph.nodes[e]}));var i=this.calculateOutputs(n);this.checkOutput(this.compiledMap.get(a.join(this.SEPERATOR)),i);var o={};return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){for(var t=new ExecutionContext(r._weightMap,o),n=__assign({},r.weightMap,e),s=r.compiledMap.get(a.join(r.SEPERATOR)),u=0;u<s.length;u++){var l=s[u];if(n[l.name]||(n[l.name]=executeOp$15(l,n,t)),i.every(function(e){return!!n[e]}))break}return r.findOutputs(n,t,i)})},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l=this;return __generator(this,function(c){switch(c.label){case 0:return this.checkInput(e,!1),this.checkInputShapeAndType(e,!1),n={},r=new ExecutionContext(this._weightMap,n),[4,this.executeWithControlFlow(e,r)];case 1:return a=c.sent(),i=this.findOutputs(a,r,t),o=Object.keys(i).map(function(e){return i[e].id}),s=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})}),u=[].concat.apply([],s),Object.keys(a).forEach(function(e){a[e].forEach(function(e){e&&-1===o.indexOf(e.id)&&-1===u.indexOf(e.id)&&-1===l.weightIds.indexOf(e.id)&&e.dispose()})}),[2,i]}})})},e.prototype.executeWithControlFlow=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,a,i,o,s,u=this;return __generator(this,function(l){switch(l.label){case 0:n=Object.keys(e),r=n.map(function(e){return u.graph.nodes[e]}),a=r.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),i=__assign({},this.weightMap,e),o={},l.label=1;case 1:return a.length>0?(s=this.processStack(r,a,t,i,o),[4,Promise.all(s)]):[3,3];case 2:return l.sent(),[3,1];case 3:return[2,i]}})})},e.prototype.processStack=function(e,t,n,r,a){for(var i=this,o=[],s=function(){var s=t.pop();n.currentContext=s.contexts;var l="";if("enter"===s.node.op&&getParamValue("isConstant",s.node,r,n)&&(l=getNodeNameAndIndex(s.node.name,n)[0]),-1===e.indexOf(s.node)){var c=executeOp$15(s.node,r,n);l||(l=getNodeNameAndIndex(s.node.name,n)[0]);var f=n.currentContext;c instanceof Promise?o.push(c.then(function(e){return r[l]=e,n.currentContext=f,i.processChildNodes(s.node,t,n,r,a),e})):(r[l]=c,u.processChildNodes(s.node,t,n,r,a))}else u.processChildNodes(s.node,t,n,r,a)},u=this;t.length>0;)s();return o},e.prototype.processChildNodes=function(e,t,n,r,a){e.children.forEach(function(e){var i=getNodeNameAndIndex(e.name,n)[0];a[i]||("merge"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,n)})&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,n)})&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})))})},e.prototype.calculateOutputs=function(e){return!e||e instanceof Array||(e=[e]),e||this.graph.outputs.map(function(e){return e.name})},e.prototype.findOutputs=function(e,t,n){return this.calculateOutputs(n).reduce(function(n,r){return n[r]=getTensor(r,e,t),n},{})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e,t){void 0===t&&(t=!0),this.placeholders.forEach(function(n){var r=e[n.name];if(t||r){var a=r[0];if(n.params.shape&&n.params.shape.value){var i=n.params.shape.value,o=i.length===a.shape.length&&a.shape.every(function(e,t){return-1===i[t]||i[t]===e});_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.assert(o,"The shape of dict['"+n.name+"'] provided in model.execute(dict) must be ["+i+"], but was ["+a.shape+"]")}n.params.dtype&&n.params.dtype.value&&_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.assert(a.dtype===n.params.dtype.value,"The dtype of dict['"+n.name+"'] provided in model.execute(dict) must be "+n.params.dtype.value+", but was "+a.dtype)}})},e.prototype.checkInput=function(e,t){var n=this;void 0===t&&(t=!0);var r=Object.keys(e),a=[],i=[];this.inputNodes.forEach(function(e){-1===r.indexOf(e)&&a.push(e)}),r.forEach(function(e){-1===n.inputNodes.indexOf(e)&&i.push(e)});var o=i.filter(function(e){return!n.graph.nodes[e]});if(a.length>0&&t)throw new Error("The dict provided in model.execute(dict) has the keys ["+r+"], but is missing the required keys: ["+a+"].");if(i.length>0&&t)throw new Error("The dict provided in model.execute(dict) has unused keys: ["+i+"]. Please provide only the following keys: ["+this.inputNodes+"].");if(o.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+o+"] not part of model graph.")},e.prototype.checkOutput=function(e,t){var n=e.map(function(e){return e.name}),r=[];if(t.forEach(function(e){-1===n.indexOf(e)&&r.push(e)}),r.length>0)throw new Error("The following outputs are not be generated by the execution: ["+r+"].")},e}(),FrozenModel=function(){function e(e,t,n){this.modelUrl=e,this.weightManifestUrl=t,this.requestOption=n,this.version="n/a"}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=[this.modelUrl,this.weightManifestUrl];if(this.requestOption)this.handler=_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hb.browserHTTPRequest(e,this.requestOption);else{var t=_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hb.getLoadHandlers(e);if(0===t.length)t.push(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hb.browserHTTPRequest(e,this.requestOption));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n;return __generator(this,function(r){switch(r.label){case 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Galeocerdo cuvieri",4:"hammerhead, hammerhead shark",5:"electric ray, crampfish, numbfish, torpedo",6:"stingray",7:"cock",8:"hen",9:"ostrich, Struthio camelus",10:"brambling, Fringilla montifringilla",11:"goldfinch, Carduelis carduelis",12:"house finch, linnet, Carpodacus mexicanus",13:"junco, snowbird",14:"indigo bunting, indigo finch, indigo bird, Passerina cyanea",15:"robin, American robin, Turdus migratorius",16:"bulbul",17:"jay",18:"magpie",19:"chickadee",20:"water ouzel, dipper",21:"kite",22:"bald eagle, American eagle, Haliaeetus leucocephalus",23:"vulture",24:"great grey owl, great gray owl, Strix nebulosa",25:"European fire salamander, Salamandra salamandra",26:"common newt, Triturus vulgaris",27:"eft",28:"spotted salamander, Ambystoma maculatum",29:"axolotl, mud puppy, Ambystoma mexicanum",30:"bullfrog, Rana catesbeiana",31:"tree frog, tree-frog",32:"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",33:"loggerhead, loggerhead turtle, Caretta caretta",34:"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",35:"mud turtle",36:"terrapin",37:"box turtle, box tortoise",38:"banded gecko",39:"common iguana, iguana, Iguana iguana",40:"American chameleon, anole, Anolis carolinensis",41:"whiptail, whiptail lizard",42:"agama",43:"frilled lizard, Chlamydosaurus kingi",44:"alligator lizard",45:"Gila monster, Heloderma suspectum",46:"green lizard, Lacerta viridis",47:"African chameleon, Chamaeleo chamaeleon",48:"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",49:"African crocodile, Nile crocodile, Crocodylus niloticus",50:"American alligator, Alligator mississipiensis",51:"triceratops",52:"thunder snake, worm snake, Carphophis amoenus",53:"ringneck snake, ring-necked snake, ring snake",54:"hognose snake, puff adder, sand viper",55:"green snake, grass snake",56:"king snake, kingsnake",57:"garter snake, grass snake",58:"water snake",59:"vine snake",60:"night snake, Hypsiglena torquata",61:"boa constrictor, Constrictor constrictor",62:"rock python, rock snake, Python sebae",63:"Indian cobra, Naja naja",64:"green mamba",65:"sea snake",66:"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",67:"diamondback, diamondback rattlesnake, Crotalus adamanteus",68:"sidewinder, horned rattlesnake, Crotalus cerastes",69:"trilobite",70:"harvestman, daddy longlegs, Phalangium opilio",71:"scorpion",72:"black and gold garden spider, Argiope aurantia",73:"barn spider, Araneus cavaticus",74:"garden spider, Aranea diademata",75:"black widow, Latrodectus mactans",76:"tarantula",77:"wolf spider, hunting spider",78:"tick",79:"centipede",80:"black grouse",81:"ptarmigan",82:"ruffed grouse, partridge, Bonasa umbellus",83:"prairie chicken, prairie grouse, prairie fowl",84:"peacock",85:"quail",86:"partridge",87:"African grey, African gray, Psittacus erithacus",88:"macaw",89:"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",90:"lorikeet",91:"coucal",92:"bee eater",93:"hornbill",94:"hummingbird",95:"jacamar",96:"toucan",97:"drake",98:"red-breasted merganser, Mergus serrator",99:"goose",100:"black swan, Cygnus atratus",101:"tusker",102:"echidna, spiny anteater, anteater",103:"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",104:"wallaby, brush kangaroo",105:"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",106:"wombat",107:"jelly fish",108:"sea anemone, anemone",109:"brain coral",110:"flatworm, platyhelminth",111:"nematode, nematode worm, roundworm",112:"conch",113:"snail",114:"slug",115:"sea slug, nudibranch",116:"chiton, coat-of-mail shell, sea cradle, polyplacophore",117:"chambered nautilus, pearly nautilus, nautilus",118:"Dungeness crab, Cancer magister",119:"rock crab, Cancer irroratus",120:"fiddler crab",121:"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",122:"American lobster, Northern lobster, Maine lobster, Homarus americanus",123:"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",124:"crayfish, crawfish, crawdad, crawdaddy",125:"hermit crab",126:"isopod",127:"white stork, Ciconia ciconia",128:"black stork, Ciconia nigra",129:"spoonbill",130:"flamingo",131:"little blue heron, Egretta caerulea",132:"American egret, great white heron, Egretta albus",133:"bittern",134:"crane",135:"limpkin, Aramus pictus",136:"European gallinule, Porphyrio porphyrio",137:"American coot, marsh hen, mud hen, water hen, Fulica americana",138:"bustard",139:"ruddy turnstone, Arenaria interpres",140:"red-backed sandpiper, dunlin, Erolia alpina",141:"redshank, Tringa totanus",142:"dowitcher",143:"oystercatcher, oyster catcher",144:"pelican",145:"king penguin, Aptenodytes patagonica",146:"albatross, mollymawk",147:"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",148:"killer whale, killer, orca, grampus, sea wolf, Orcinus orca",149:"dugong, Dugong dugon",150:"sea lion",151:"Chihuahua",152:"Japanese spaniel",153:"Maltese dog, Maltese terrier, Maltese",154:"Pekinese, Pekingese, Peke",155:"Shih-Tzu",156:"Blenheim spaniel",157:"papillon",158:"toy terrier",159:"Rhodesian ridgeback",160:"Afghan hound, Afghan",161:"basset, basset hound",162:"beagle",163:"bloodhound, sleuthhound",164:"bluetick",165:"black-and-tan coonhound",166:"Walker hound, Walker foxhound",167:"English foxhound",168:"redbone",169:"borzoi, Russian wolfhound",170:"Irish wolfhound",171:"Italian greyhound",172:"whippet",173:"Ibizan hound, Ibizan Podenco",174:"Norwegian elkhound, elkhound",175:"otterhound, otter hound",176:"Saluki, gazelle hound",177:"Scottish deerhound, deerhound",178:"Weimaraner",179:"Staffordshire bullterrier, Staffordshire bull terrier",180:"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",181:"Bedlington terrier",182:"Border terrier",183:"Kerry blue terrier",184:"Irish terrier",185:"Norfolk terrier",186:"Norwich terrier",187:"Yorkshire terrier",188:"wire-haired fox terrier",189:"Lakeland terrier",190:"Sealyham terrier, Sealyham",191:"Airedale, Airedale terrier",192:"cairn, cairn terrier",193:"Australian terrier",194:"Dandie Dinmont, Dandie Dinmont terrier",195:"Boston bull, Boston terrier",196:"miniature schnauzer",197:"giant schnauzer",198:"standard schnauzer",199:"Scotch terrier, Scottish terrier, Scottie",200:"Tibetan terrier, chrysanthemum dog",201:"silky terrier, Sydney silky",202:"soft-coated wheaten terrier",203:"West Highland white terrier",204:"Lhasa, Lhasa apso",205:"flat-coated retriever",206:"curly-coated retriever",207:"golden retriever",208:"Labrador retriever",209:"Chesapeake Bay retriever",210:"German short-haired pointer",211:"vizsla, Hungarian pointer",212:"English setter",213:"Irish setter, red setter",214:"Gordon setter",215:"Brittany spaniel",216:"clumber, clumber spaniel",217:"English springer, English springer spaniel",218:"Welsh springer spaniel",219:"cocker spaniel, English cocker spaniel, cocker",220:"Sussex spaniel",221:"Irish water spaniel",222:"kuvasz",223:"schipperke",224:"groenendael",225:"malinois",226:"briard",227:"kelpie",228:"komondor",229:"Old English sheepdog, bobtail",230:"Shetland sheepdog, Shetland sheep dog, Shetland",231:"collie",232:"Border collie",233:"Bouvier des Flandres, Bouviers des Flandres",234:"Rottweiler",235:"German shepherd, German shepherd dog, German police dog, alsatian",236:"Doberman, Doberman pinscher",237:"miniature pinscher",238:"Greater Swiss Mountain dog",239:"Bernese mountain dog",240:"Appenzeller",241:"EntleBucher",242:"boxer",243:"bull mastiff",244:"Tibetan mastiff",245:"French bulldog",246:"Great Dane",247:"Saint Bernard, St Bernard",248:"Eskimo dog, husky",249:"malamute, malemute, Alaskan malamute",250:"Siberian husky",251:"dalmatian, coach dog, carriage dog",252:"affenpinscher, monkey pinscher, monkey dog",253:"basenji",254:"pug, pug-dog",255:"Leonberg",256:"Newfoundland, Newfoundland dog",257:"Great Pyrenees",258:"Samoyed, Samoyede",259:"Pomeranian",260:"chow, chow chow",261:"keeshond",262:"Brabancon griffon",263:"Pembroke, Pembroke Welsh corgi",264:"Cardigan, Cardigan Welsh corgi",265:"toy poodle",266:"miniature poodle",267:"standard poodle",268:"Mexican hairless",269:"timber wolf, grey wolf, gray wolf, Canis lupus",270:"white wolf, Arctic wolf, Canis lupus tundrarum",271:"red wolf, maned wolf, Canis rufus, Canis niger",272:"coyote, prairie wolf, brush wolf, Canis latrans",273:"dingo, warrigal, warragal, Canis dingo",274:"dhole, Cuon alpinus",275:"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",276:"hyena, hyaena",277:"red fox, Vulpes vulpes",278:"kit fox, Vulpes macrotis",279:"Arctic fox, white fox, Alopex lagopus",280:"grey fox, gray fox, Urocyon cinereoargenteus",281:"tabby, tabby cat",282:"tiger cat",283:"Persian cat",284:"Siamese cat, Siamese",285:"Egyptian cat",286:"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",287:"lynx, catamount",288:"leopard, Panthera pardus",289:"snow leopard, ounce, Panthera uncia",290:"jaguar, panther, Panthera onca, Felis onca",291:"lion, king of beasts, Panthera leo",292:"tiger, Panthera tigris",293:"cheetah, chetah, Acinonyx jubatus",294:"brown bear, bruin, Ursus arctos",295:"American black bear, black bear, Ursus americanus, Euarctos americanus",296:"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",297:"sloth bear, Melursus ursinus, Ursus ursinus",298:"mongoose",299:"meerkat, mierkat",300:"tiger beetle",301:"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",302:"ground beetle, carabid beetle",303:"long-horned beetle, longicorn, longicorn beetle",304:"leaf beetle, chrysomelid",305:"dung beetle",306:"rhinoceros beetle",307:"weevil",308:"fly",309:"bee",310:"ant, emmet, pismire",311:"grasshopper, hopper",312:"cricket",313:"walking stick, walkingstick, stick insect",314:"cockroach, roach",315:"mantis, mantid",316:"cicada, cicala",317:"leafhopper",318:"lacewing, lacewing fly",319:"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",320:"damselfly",321:"admiral",322:"ringlet, ringlet butterfly",323:"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",324:"cabbage butterfly",325:"sulphur butterfly, sulfur butterfly",326:"lycaenid, lycaenid butterfly",327:"starfish, sea star",328:"sea urchin",329:"sea cucumber, holothurian",330:"wood rabbit, cottontail, cottontail rabbit",331:"hare",332:"Angora, Angora rabbit",333:"hamster",334:"porcupine, hedgehog",335:"fox squirrel, eastern fox squirrel, Sciurus niger",336:"marmot",337:"beaver",338:"guinea pig, Cavia cobaya",339:"sorrel",340:"zebra",341:"hog, pig, grunter, squealer, Sus scrofa",342:"wild boar, boar, Sus scrofa",343:"warthog",344:"hippopotamus, hippo, river horse, Hippopotamus amphibius",345:"ox",346:"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",347:"bison",348:"ram, tup",349:"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",350:"ibex, Capra ibex",351:"hartebeest",352:"impala, Aepyceros melampus",353:"gazelle",354:"Arabian camel, dromedary, Camelus dromedarius",355:"llama",356:"weasel",357:"mink",358:"polecat, fitch, foulmart, foumart, Mustela putorius",359:"black-footed ferret, ferret, Mustela nigripes",360:"otter",361:"skunk, polecat, wood pussy",362:"badger",363:"armadillo",364:"three-toed sloth, ai, Bradypus tridactylus",365:"orangutan, orang, orangutang, Pongo pygmaeus",366:"gorilla, Gorilla gorilla",367:"chimpanzee, chimp, Pan troglodytes",368:"gibbon, Hylobates lar",369:"siamang, Hylobates syndactylus, Symphalangus syndactylus",370:"guenon, guenon monkey",371:"patas, hussar monkey, Erythrocebus patas",372:"baboon",373:"macaque",374:"langur",375:"colobus, colobus monkey",376:"proboscis monkey, Nasalis larvatus",377:"marmoset",378:"capuchin, ringtail, Cebus capucinus",379:"howler monkey, howler",380:"titi, titi monkey",381:"spider monkey, Ateles geoffroyi",382:"squirrel monkey, Saimiri sciureus",383:"Madagascar cat, ring-tailed lemur, Lemur catta",384:"indri, indris, Indri indri, Indri brevicaudatus",385:"Indian elephant, Elephas maximus",386:"African elephant, Loxodonta africana",387:"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",388:"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",389:"barracouta, snoek",390:"eel",391:"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",392:"rock beauty, Holocanthus tricolor",393:"anemone fish",394:"sturgeon",395:"gar, garfish, garpike, billfish, Lepisosteus osseus",396:"lionfish",397:"puffer, pufferfish, blowfish, globefish",398:"abacus",399:"abaya",400:"academic gown, academic robe, judge's robe",401:"accordion, piano accordion, squeeze box",402:"acoustic guitar",403:"aircraft carrier, carrier, flattop, attack aircraft carrier",404:"airliner",405:"airship, dirigible",406:"altar",407:"ambulance",408:"amphibian, amphibious vehicle",409:"analog clock",410:"apiary, bee house",411:"apron",412:"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",413:"assault rifle, assault gun",414:"backpack, back pack, knapsack, packsack, rucksack, haversack",415:"bakery, bakeshop, bakehouse",416:"balance beam, beam",417:"balloon",418:"ballpoint, ballpoint pen, ballpen, Biro",419:"Band Aid",420:"banjo",421:"bannister, banister, balustrade, balusters, handrail",422:"barbell",423:"barber chair",424:"barbershop",425:"barn",426:"barometer",427:"barrel, cask",428:"barrow, garden cart, lawn cart, wheelbarrow",429:"baseball",430:"basketball",431:"bassinet",432:"bassoon",433:"bathing cap, swimming cap",434:"bath towel",435:"bathtub, bathing tub, bath, tub",436:"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",437:"beacon, lighthouse, beacon light, pharos",438:"beaker",439:"bearskin, busby, shako",440:"beer bottle",441:"beer glass",442:"bell cote, bell cot",443:"bib",444:"bicycle-built-for-two, tandem bicycle, tandem",445:"bikini, two-piece",446:"binder, ring-binder",447:"binoculars, field glasses, opera glasses",448:"birdhouse",449:"boathouse",450:"bobsled, bobsleigh, bob",451:"bolo tie, bolo, bola tie, bola",452:"bonnet, poke bonnet",453:"bookcase",454:"bookshop, bookstore, bookstall",455:"bottlecap",456:"bow",457:"bow tie, bow-tie, bowtie",458:"brass, memorial tablet, plaque",459:"brassiere, bra, bandeau",460:"breakwater, groin, groyne, mole, bulwark, seawall, jetty",461:"breastplate, aegis, egis",462:"broom",463:"bucket, pail",464:"buckle",465:"bulletproof vest",466:"bullet train, bullet",467:"butcher shop, meat market",468:"cab, hack, taxi, taxicab",469:"caldron, cauldron",470:"candle, taper, wax light",471:"cannon",472:"canoe",473:"can opener, tin opener",474:"cardigan",475:"car mirror",476:"carousel, carrousel, merry-go-round, roundabout, whirligig",477:"carpenter's kit, tool kit",478:"carton",479:"car wheel",480:"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",481:"cassette",482:"cassette player",483:"castle",484:"catamaran",485:"CD player",486:"cello, violoncello",487:"cellular telephone, cellular phone, cellphone, cell, mobile phone",488:"chain",489:"chainlink fence",490:"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",491:"chain saw, chainsaw",492:"chest",493:"chiffonier, commode",494:"chime, bell, gong",495:"china cabinet, china closet",496:"Christmas stocking",497:"church, church building",498:"cinema, movie theater, movie theatre, movie house, picture palace",499:"cleaver, meat cleaver, chopper",500:"cliff dwelling",501:"cloak",502:"clog, geta, patten, sabot",503:"cocktail shaker",504:"coffee mug",505:"coffeepot",506:"coil, spiral, volute, whorl, helix",507:"combination lock",508:"computer keyboard, keypad",509:"confectionery, confectionary, candy store",510:"container ship, containership, container vessel",511:"convertible",512:"corkscrew, bottle screw",513:"cornet, horn, trumpet, trump",514:"cowboy boot",515:"cowboy hat, ten-gallon hat",516:"cradle",517:"crane",518:"crash helmet",519:"crate",520:"crib, cot",521:"Crock Pot",522:"croquet ball",523:"crutch",524:"cuirass",525:"dam, dike, dyke",526:"desk",527:"desktop computer",528:"dial telephone, dial phone",529:"diaper, nappy, napkin",530:"digital clock",531:"digital watch",532:"dining table, board",533:"dishrag, dishcloth",534:"dishwasher, dish washer, dishwashing machine",535:"disk brake, disc brake",536:"dock, dockage, docking facility",537:"dogsled, dog sled, dog sleigh",538:"dome",539:"doormat, welcome mat",540:"drilling platform, offshore rig",541:"drum, membranophone, tympan",542:"drumstick",543:"dumbbell",544:"Dutch oven",545:"electric fan, blower",546:"electric guitar",547:"electric locomotive",548:"entertainment center",549:"envelope",550:"espresso maker",551:"face powder",552:"feather boa, boa",553:"file, file cabinet, filing cabinet",554:"fireboat",555:"fire engine, fire truck",556:"fire screen, fireguard",557:"flagpole, flagstaff",558:"flute, transverse flute",559:"folding chair",560:"football helmet",561:"forklift",562:"fountain",563:"fountain pen",564:"four-poster",565:"freight car",566:"French horn, horn",567:"frying pan, frypan, skillet",568:"fur coat",569:"garbage truck, dustcart",570:"gasmask, respirator, gas helmet",571:"gas pump, gasoline pump, petrol pump, island dispenser",572:"goblet",573:"go-kart",574:"golf ball",575:"golfcart, golf cart",576:"gondola",577:"gong, tam-tam",578:"gown",579:"grand piano, grand",580:"greenhouse, nursery, glasshouse",581:"grille, radiator grille",582:"grocery store, grocery, food market, market",583:"guillotine",584:"hair slide",585:"hair spray",586:"half track",587:"hammer",588:"hamper",589:"hand blower, blow dryer, blow drier, hair dryer, hair drier",590:"hand-held computer, hand-held microcomputer",591:"handkerchief, hankie, hanky, hankey",592:"hard disc, hard disk, fixed disk",593:"harmonica, mouth organ, harp, mouth harp",594:"harp",595:"harvester, reaper",596:"hatchet",597:"holster",598:"home theater, home theatre",599:"honeycomb",600:"hook, claw",601:"hoopskirt, crinoline",602:"horizontal bar, high bar",603:"horse cart, horse-cart",604:"hourglass",605:"iPod",606:"iron, smoothing iron",607:"jack-o'-lantern",608:"jean, blue jean, denim",609:"jeep, landrover",610:"jersey, T-shirt, tee shirt",611:"jigsaw puzzle",612:"jinrikisha, ricksha, rickshaw",613:"joystick",614:"kimono",615:"knee pad",616:"knot",617:"lab coat, laboratory coat",618:"ladle",619:"lampshade, lamp shade",620:"laptop, laptop computer",621:"lawn mower, mower",622:"lens cap, lens cover",623:"letter opener, paper knife, paperknife",624:"library",625:"lifeboat",626:"lighter, light, igniter, ignitor",627:"limousine, limo",628:"liner, 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r(){n.Reader._configure(n.BufferReader),n.util._configure()}n.build="minimal",n.Writer=writer,n.BufferWriter=writer_buffer,n.Reader=reader,n.BufferReader=reader_buffer,n.util=minimal,n.rpc=rpc_1,n.roots=roots,n.configure=r,n.Writer._configure(n.BufferWriter),r()}),minimal$1=indexMinimal,minimal_1=minimal$1.roots,minimal_2=minimal$1.Reader,minimal_3=minimal$1.util,$Reader=minimal$1.Reader,$util=minimal$1.util,$root=minimal$1.roots.default||(minimal$1.roots.default={});$root.tensorflow=function(){var e,t,n={};return n.Any=function(){function e(e){if(e)for(var t=Object.keys(e),n=0;n<t.length;++n)null!=e[t[n]]&&(this[t[n]]=e[t[n]])}return e.prototype.typeUrl="",e.prototype.value=$util.newBuffer([]),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var n=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Any;e.pos<n;){var a=e.uint32();switch(a>>>3){case 1:r.typeUrl=e.string();break;case 2:r.value=e.bytes();break;default:e.skipType(7&a)}}return 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a=t.params[e];if(a&&void 0!==a.inputIndex){if("tensor"===a.type)return getTensor(t.inputNames[a.inputIndex],n,r);if("tensors"===a.type)return(0===a.inputIndex?0===a.inputParamLength?t.inputNames:t.inputNames.slice(a.inputIndex,-a.inputParamLength):t.inputNames.splice(a.inputIndex)).map(function(e){return getTensor(e,n,r)});var i=Array.prototype.slice.call(getTensor(t.inputNames.slice(a.inputIndex)[0],n,r).dataSync());return"number"===a.type?i[0]:i}return a&&a.value}function getTensor(e,t,n){var r=parseNodeName(e),a=r[0],i=r[1],o=n.currentContextIds.find(function(e){return!!t[getNodeNameWithContextId(a,e)]});return void 0!==o?t[getNodeNameWithContextId(a,o)][i]:void 0}function getNodeNameAndIndex(e,t){var n=parseNodeName(e),r=n[0],a=n[1];return[getNodeNameWithContextId(r,t&&t.currentContextId),a]}function getNodeNameWithContextId(e,t){return t?e+"-"+t:e}function parseNodeName(e){var t=e.lastIndexOf(":");return-1===t?[e,0]:[e.substring(0,t),Number(e.substring(t+1))]}function 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,type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",dlOpName:"lessEqual",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",dlOpName:"logicalAnd",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",dlOpName:"logicalNot",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",dlOpName:"logicalOr",category:"logical",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",dlOpName:"where",category:"logical",params:[{tfInputIndex:0,dlParamName:"condition",type:"tensor"},{tfInputIndex:1,dlParamName:"a",type:"tensor"},{tfInputIndex:2,dlParamName:"b",type:"tensor"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]}],logical=Object.freeze({json:json$9}),json$10=[{tfOpName:"MatMul",dlOpName:"matMul",category:"matrices",params:[{tfInputIndex:0,dlParamName:"a",type:"tensor"},{tfInputIndex:1,dlParamName:"b",type:"tensor"},{tfParamName:"transpose_a",dlParamName:"transposeA",type:"bool",defaultValue:!1},{tfParamName:"transpose_b",dlParamName:"transposeB",type:"bool",defaultValue:!1},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",dlOpName:"transpose",category:"matrices",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"perm",type:"number[]"},{tfParamName:"T",dlParamName:"dtype",type:"dtype",notSupported:!0}]}],matrices=Object.freeze({json:json$10}),json$11=[{tfOpName:"FusedBatchNorm",dlOpName:"batchNormalization",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"scale",type:"tensor"},{tfInputIndex:2,dlParamName:"offset",type:"tensor"},{tfInputIndex:3,dlParamName:"mean",type:"tensor"},{tfInputIndex:4,dlParamName:"variance",type:"tensor"},{tfParamName:"epsilon",dlParamName:"epsilon",type:"number",defaultValue:.001},{tfParamName:"data_format",dlParamName:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",dlOpName:"batchNormalization",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"scale",type:"tensor"},{tfInputIndex:2,dlParamName:"offset",type:"tensor"},{tfInputIndex:3,dlParamName:"mean",type:"tensor"},{tfInputIndex:4,dlParamName:"variance",type:"tensor"},{tfParamName:"epsilon",dlParamName:"epsilon",type:"number",defaultValue:.001},{tfParamName:"data_format",dlParamName:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",dlOpName:"localResponseNormalization",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"depth_radius",dlParamName:"radius",type:"number",defaultValue:5},{tfParamName:"bias",dlParamName:"bias",type:"number",defaultValue:1},{tfParamName:"alpha",dlParamName:"alpha",type:"number",defaultValue:1},{tfParamName:"beta",dlParamName:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",dlOpName:"softmax",category:"normalization",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"}]}],normalization=Object.freeze({json:json$11}),json$12=[{tfOpName:"Max",dlOpName:"max",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Mean",dlOpName:"mean",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Min",dlOpName:"min",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Sum",dlOpName:"sum",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"All",dlOpName:"all",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"Any",dlOpName:"any",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number[]"},{tfParamName:"keep_dims",dlParamName:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",dlOpName:"argMax",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"ArgMin",dlOpName:"argMin",category:"reduction",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]}],reduction=Object.freeze({json:json$12}),json$13=[{tfOpName:"ConcatV2",dlOpName:"concat",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:1,dlParamName:"tensors",type:"tensors"},{tfInputIndex:-1,dlParamName:"axis",type:"number"}]},{tfOpName:"Concat",dlOpName:"concat",category:"slice_join",params:[{tfInputIndex:1,tfInputParamLength:1,dlParamName:"tensors",type:"tensors"},{tfInputIndex:0,dlParamName:"axis",type:"number"}]},{tfOpName:"GatherV2",dlOpName:"gather",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"indices",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0}]},{tfOpName:"Gather",dlOpName:"gather",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"indices",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0},{tfParamName:"validate_indices",dlParamName:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",dlOpName:"reverse",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"ReverseV2",dlOpName:"reverse",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"axis",type:"number"}]},{tfOpName:"Slice",dlOpName:"slice",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"begin",type:"number[]"},{tfInputIndex:2,dlParamName:"size",type:"number[]"}]},{tfOpName:"StridedSlice",dlOpName:"stridedSlice",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"begin",type:"number[]"},{tfInputIndex:2,dlParamName:"end",type:"number[]"},{tfInputIndex:3,dlParamName:"strides",type:"number[]"},{tfParamName:"begin_mask",dlParamName:"beginMask",type:"number",defaultValue:0},{tfParamName:"end_mask",dlParamName:"endMask",type:"number",defaultValue:0},{tfParamName:"new_axis_mask",dlParamName:"newAxisMask",type:"number",defaultValue:0},{tfParamName:"ellipsis_mask",dlParamName:"ellipsisMask",type:"number",defaultValue:0},{tfParamName:"shrink_axis_mask",dlParamName:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",dlOpName:"stack",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:0,dlParamName:"tensors",type:"tensors"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",dlOpName:"unstack",category:"slice_join",params:[{tfInputIndex:0,tfInputParamLength:0,dlParamName:"tensor",type:"tensor"},{tfParamName:"axis",dlParamName:"axis",type:"number",defaultValue:0},{tfParamName:"num",dlParamName:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",dlOpName:"tile",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"reps",type:"number[]"}]},{tfOpName:"Split",dlOpName:"split",category:"slice_join",params:[{tfInputIndex:0,dlParamName:"axis",type:"number",defaultValue:0},{tfInputIndex:1,dlParamName:"x",type:"tensor"},{tfParamName:"num_split",dlParamName:"numOrSizeSplits",type:"number",defaultValue:1}]}],sliceJoin=Object.freeze({json:json$13}),json$14=[{tfOpName:"Cast",dlOpName:"cast",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"SrcT",dlParamName:"sdtype",type:"dtype",notSupported:!0},{tfParamName:"DstT",dlParamName:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",dlOpName:"expandDims",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,tfParamNameDeprecated:"dim",dlParamName:"axis",type:"number"}]},{tfOpName:"Pad",dlOpName:"pad",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"padding",type:"number[]"},{tfParamName:"constant_value",dlParamName:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",dlOpName:"pad",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"padding",type:"number[]"},{tfInputIndex:2,dlParamName:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",dlOpName:"reshape",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"shape",type:"number[]"}]},{tfOpName:"Squeeze",dlOpName:"squeeze",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfParamName:"axis",tfParamNameDeprecated:"squeeze_dims",dlParamName:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",dlOpName:"spaceToBatchND",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"blockShape",type:"number[]"},{tfInputIndex:2,dlParamName:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",dlOpName:"batchToSpaceND",category:"transformation",params:[{tfInputIndex:0,dlParamName:"x",type:"tensor"},{tfInputIndex:1,dlParamName:"blockShape",type:"number[]"},{tfInputIndex:2,dlParamName:"crops",type:"number[]"}]}],transformation=Object.freeze({json:json$14}),CONTROL_FLOW_OPS=["Switch","Merge","Enter","Exit","NextIteration"],DYNAMIC_SHAPE_OPS=["NonMaxSuppressionV2","NonMaxSuppressionV3","Where"],OperationMapper=function(){function e(){var e=[arithmetic,basicMath,control,convolution,creation,dynamic,evaluation,logical,image$1,graph,matrices,normalization,reduction,sliceJoin,transformation],t=[].concat.apply([],e.map(function(e){return e.json}));this.opMappers=t.reduce(function(e,t){return e[t.tfOpName]=t,e},{})}return Object.defineProperty(e,"Instance",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),e.prototype.isControlFlow=function(e){return CONTROL_FLOW_OPS.some(function(t){return t===e.op})},e.prototype.isDynamicShape=function(e){return DYNAMIC_SHAPE_OPS.some(function(t){return t===e.op})},e.prototype.transformGraph=function(e){var t=this,n=!1,r=!1,a=[],i=[],o=e.node.reduce(function(e,o){return e[o.name]=t.mapNode(o),t.isControlFlow(o)&&(n=!0),t.isDynamicShape(o)&&(r=!0),"Placeholder"===o.op&&a.push(e[o.name]),"Const"===o.op&&i.push(e[o.name]),e},{}),s=[],u=[];return Object.keys(o).forEach(function(e){var t=o[e];t.inputNames.forEach(function(e){var n=getNodeNameAndIndex(e)[0];t.inputs.push(o[n]),o[n].children.push(t)}),0===t.inputs.length&&s.push(t)}),Object.keys(o).forEach(function(e){var t=o[e];0===t.children.length&&u.push(t)}),{nodes:o,inputs:s,outputs:u,weights:i,placeholders:a,withControlFlow:n,withDynamicShape:r}},e.prototype.mapNode=function(e){var t=this,n=this.opMappers[e.op];if(void 0===n)throw new Error("Tensorflow Op is not supported: "+e.op);var r={name:e.name,op:n.dlOpName,category:n.category,inputNames:(e.input||[]).map(function(e){return e.startsWith("^")?e.substr(1):e}),inputs:[],children:[],params:{}};return n.params&&(r.params=n.params.reduce(function(n,r){var a=r.tfInputIndex,i=r.tfInputParamLength,o=r.type,s=void 0;if(void 0===a)switch(r.type){case"string":void 0===(s=t.getStringParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getStringParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"number":void 0===(s=t.getNumberParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getNumberParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"number[]":void 0===(s=t.getNumericArrayParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getNumericArrayParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"bool":void 0===(s=t.getBoolParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getBoolParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"shape":void 0===(s=t.getTensorShapeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getTensorShapeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"dtype":void 0===(s=t.getDtypeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(s=t.getDtypeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+r.type+" for op: "+e.op)}return n[r.dlParamName]={value:s,inputIndex:a,type:o,inputParamLength:i},n},{})),r},e.prototype.getStringParam=function(e,t,n,r){void 0===r&&(r=!1);var a=e[t];if(void 0!==a){var i=String.fromCharCode.apply(null,a.s);return r?i:i.toLowerCase()}return n},e.prototype.getBoolParam=function(e,t,n){var r=e[t];return r?r.b:n},e.prototype.getNumberParam=function(e,t,n){var r=e[t],a=r?r[r.value]:n;return"number"==typeof a?a:a.toInt()},e.prototype.getDtypeParam=function(e,t,n){var r=e[t];if(r&&r.type)switch(r.type){case compiled_api_1.DataType.DT_FLOAT:return"float32";case compiled_api_1.DataType.DT_INT32:return"int32";case compiled_api_1.DataType.DT_BOOL:return"bool";default:return n}return n},e.prototype.getTensorShapeParam=function(e,t,n){var r=e[t];return r&&r.shape?r.shape.dim.map(function(e){return"number"==typeof e.size?e.size:e.size.toInt()}):n},e.prototype.getNumericArrayParam=function(e,t,n){var r=e[t];return r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(e){return"number"==typeof e?e:e.toInt()}):n},e}(),executeOp=function(e,t,n){switch(e.op){case"add":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.s)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"addN":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.t)(getParamValue("tensors",e,t,n))];case"mod":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Kb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"mul":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ob)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"div":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ha)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"floorDiv":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Va)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"sub":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.bd)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"minimum":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ib)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"maximum":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Db)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"pow":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hc)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"squaredDifference":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Vc)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$1=function(e,t,n){switch(e.op){case"abs":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.p)(getParamValue("x",e,t,n))];case"acos":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.q)(getParamValue("x",e,t,n))];case"acosh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.r)(getParamValue("x",e,t,n))];case"asin":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.z)(getParamValue("x",e,t,n))];case"asinh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.A)(getParamValue("x",e,t,n))];case"atan":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.B)(getParamValue("x",e,t,n))];case"atanh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.D)(getParamValue("x",e,t,n))];case"ceil":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.N)(getParamValue("x",e,t,n))];case"cos":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Z)(getParamValue("x",e,t,n))];case"cosh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Aa)(getParamValue("x",e,t,n))];case"elu":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ka)(getParamValue("x",e,t,n))];case"erf":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Oa)(getParamValue("x",e,t,n))];case"exp":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Pa)(getParamValue("x",e,t,n))];case"expm1":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ra)(getParamValue("x",e,t,n))];case"floor":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ua)(getParamValue("x",e,t,n))];case"log":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.rb)(getParamValue("x",e,t,n))];case"log1p":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.sb)(getParamValue("x",e,t,n))];case"neg":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Sb)(getParamValue("x",e,t,n))];case"reciprocal":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.rc)(getParamValue("x",e,t,n))];case"relu":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.sc)(getParamValue("x",e,t,n))];case"round":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.zc)(getParamValue("x",e,t,n))];case"selu":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Cc)(getParamValue("x",e,t,n))];case"sigmoid":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Gc)(getParamValue("x",e,t,n))];case"sin":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ic)(getParamValue("x",e,t,n))];case"sign":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Hc)(getParamValue("x",e,t,n))];case"sinh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Jc)(getParamValue("x",e,t,n))];case"softplus":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Qc)(getParamValue("x",e,t,n))];case"sqrt":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Tc)(getParamValue("x",e,t,n))];case"square":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Uc)(getParamValue("x",e,t,n))];case"tanh":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.fd)(getParamValue("x",e,t,n))];case"tan":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.ed)(getParamValue("x",e,t,n))];case"clipByValue":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.O)(getParamValue("x",e,t,n),getParamValue("clipValueMin",e,t,n),getParamValue("clipValueMax",e,t,n))];case"rsqrt":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ha)(Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1,"float32"),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Tc)(getTensor(e.inputNames[0],t,n)))];default:throw TypeError("Node type "+e.op+" is not implemented")}},TensorArray=function(){function e(t,n,r,a,i,o,s){this.name=t,this.dtype=n,this.maxSize=r,this.elementShape=a,this.identicalElementShapes=i,this.dynamicSize=o,this.clearAfterRead=s,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0===this.size()&&0===this.elementShape.length&&(this.elementShape=t.shape),this.assertShapesMatch(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),n&&n.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been read.");if(n&&n.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");n.tensor=t,n.written=!0,this.tensors[e]=n},e.prototype.writeMany=function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach(function(e,r){return n.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+t);if(!e){e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gd)([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatch(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Yc)(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gd)([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return this.assertShapesMatch(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.R)(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+t.shape[0]);var n=Math.max.apply(Math,e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size ("+n+"  vs. "+this.maxSize+")");this.writeMany(e,Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.xd)(t,0))},e.prototype.split=function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);var r=0,a=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){t=t.reshape([1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,e[s],i];o[s]=Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Kc)(t,u,l).reshape(n.elementShape)}return o});for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)},e.prototype.assertShapesMatch=function(e,t,n){void 0===n&&(n=""),_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.assert(this.arraysEqual(e,t),n+" Shapes "+e+" and "+t+" must match")},e.prototype.arraysEqual=function(e,t){if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(-1!==e[n]&&-1!==t[n]&&e[n]!==t[n])return!1;return!0},e.nextId=0,e}();function executeOp$2(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,a,i,o,s,u,l,c,f,p,h,d,m,g,y,v,b,w,x,_,E,N,S,O,k,I,C,P,A,T,M,R,D,j,L;return __generator(this,function(B){switch(B.label){case 0:switch(e.op){case"loopCond":return[3,1];case"switch":return[3,2];case"merge":return[3,4];case"enter":return[3,5];case"exit":return[3,6];case"nextIteration":return[3,7];case"tensorArray":return[3,8];case"tensorArrayWrite":return[3,9];case"tensorArrayRead":return[3,10];case"tensorArrayGather":return[3,11];case"tensorArrayScatter":return[3,12];case"tensorArrayConcat":return[3,13];case"tensorArraySplit":return[3,14];case"tensorArraySize":return[3,15];case"tensorArrayClose":return[3,16]}return[3,17];case 1:return[2,[getParamValue("pred",e,t,n)]];case 2:return r=getParamValue("pred",e,t,n),a=getParamValue("data",e,t,n),[4,r.data()];case 3:return[2,B.sent()[0]?[void 0,a]:[a,void 0]];case 4:return[2,(i=e.inputNames.find(function(e){return void 0!==getTensor(e,t,n)}))?[getTensor(i,t,n)]:void 0];case 5:return o=getParamValue("frameName",e,t,n),s=getParamValue("tensor",e,t,n),n.enterFrame(o),[2,[s]];case 6:return u=getParamValue("tensor",e,t,n),n.exitFrame(),[2,[u]];case 7:return l=getParamValue("tensor",e,t,n),n.nextIteration(),[2,[l]];case 8:return c=getParamValue("size",e,t,n),f=getParamValue("dtype",e,t,n),p=getParamValue("elementShape",e,t,n),h=getParamValue("dynamicSize",e,t,n),d=getParamValue("clearAfterRead",e,t,n),m=getParamValue("identicalElementShapes",e,t,n),g=getParamValue("name",e,t,n),y=new TensorArray(g,f,c,p,m,h,d),n.addTensorArray(y),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(y.id),Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 9:return v=getParamValue("tensorArrayId",e,t,n),b=getParamValue("index",e,t,n),w=getParamValue("tensor",e,t,n),n.getTensorArray(v).write(b,w),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 10:return x=getParamValue("tensorArrayId",e,t,n),_=getParamValue("index",e,t,n),[2,[n.getTensorArray(x).read(_)]];case 11:return E=getParamValue("tensorArrayId",e,t,n),N=getParamValue("indices",e,t,n),S=getParamValue("dtype",e,t,n),[2,[n.getTensorArray(E).gather(N,S)]];case 12:return O=getParamValue("tensorArrayId",e,t,n),k=getParamValue("indices",e,t,n),I=getParamValue("tensor",e,t,n),n.getTensorArray(O).scatter(k,I),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 13:return C=getParamValue("tensorArrayId",e,t,n),P=n.getTensorArray(C),A=getParamValue("dtype",e,t,n),[2,[P.concat(A)]];case 14:return T=getParamValue("tensorArrayId",e,t,n),M=getParamValue("tensor",e,t,n),R=getParamValue("lengths",e,t,n),n.getTensorArray(T).split(R,M),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(1)]];case 15:return D=getParamValue("tensorArrayId",e,t,n),j=n.getTensorArray(D),[2,[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(j.size(),"int32")]];case 16:return L=getParamValue("tensorArrayId",e,t,n),n.getTensorArray(L).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})}var executeOp$3=function(e,t,n){switch(e.op){case"conv1d":var r=getParamValue("stride",e,t,n),a=getParamValue("pad",e,t,n),i=getParamValue("dataFormat",e,t,n).toUpperCase(),o=getParamValue("dilation",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.W)(getParamValue("x",e,t,n),getParamValue("filter",e,t,n),r,a,i,o)];case"conv2d":r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),i=getParamValue("dataFormat",e,t,n).toUpperCase();var s=getParamValue("dilations",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.X)(getParamValue("x",e,t,n),getParamValue("filter",e,t,n),[r[1],r[2]],a,i,[s[0],s[1]])];case"conv2dTranspose":var u=getParamValue("outputShape",e,t,n);return r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Y)(getParamValue("x",e,t,n),getParamValue("filter",e,t,n),u,[r[1],r[2]],a)];case"depthwiseConv2d":return r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),s=getParamValue("dilations",e,t,n),i=getParamValue("dataFormat",e,t,n).toUpperCase(),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ea)(getParamValue("input",e,t,n),getParamValue("filter",e,t,n),[r[1],r[2]],a,i,[s[0],s[1]])];case"avgPool":r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n);var l=getParamValue("kernelSize",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.E)(getParamValue("x",e,t,n),[l[1],l[2]],[r[1],r[2]],a)];case"maxPool":return r=getParamValue("strides",e,t,n),a=getParamValue("pad",e,t,n),l=getParamValue("kernelSize",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Cb)(getParamValue("x",e,t,n),[l[1],l[2]],[r[1],r[2]],a)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$4=function(e,t,n){switch(e.op){case"fill":var r=getParamValue("shape",e,t,n),a=getParamValue("dtype",e,t,n),i=getParamValue("value",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ta)(r,i,a)];case"linspace":var o=getParamValue("start",e,t,n),s=getParamValue("stop",e,t,n),u=getParamValue("num",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.pb)(o,s,u)];case"oneHot":var l=getParamValue("indices",e,t,n),c=getParamValue("depth",e,t,n),f=getParamValue("onValue",e,t,n),p=getParamValue("offValue",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Xb)(l,c,f,p)];case"ones":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Yb)(getParamValue("shape",e,t,n),getParamValue("dtype",e,t,n))];case"onesLike":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Zb)(getParamValue("x",e,t,n))];case"randomUniform":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.oc)(getParamValue("shape",e,t,n),getParamValue("minval",e,t,n),getParamValue("maxval",e,t,n),getParamValue("dtype",e,t,n))];case"range":o=getParamValue("start",e,t,n);var h=getParamValue("stop",e,t,n),d=getParamValue("step",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.pc)(o,h,d,getParamValue("dtype",e,t,n))];case"truncatedNormal":r=getParamValue("shape",e,t,n);var m=getParamValue("mean",e,t,n),g=getParamValue("stdDev",e,t,n),y=getParamValue("seed",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.vd)(r,m,g,getParamValue("dtype",e,t,n),y)];case"zeros":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Hd)(getParamValue("shape",e,t,n),getParamValue("dtype",e,t,n))];case"zerosLike":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Id)(getParamValue("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}};function executeOp$5(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,a,i,o,s;return __generator(this,function(u){switch(u.label){case 0:switch(e.op){case"nonMaxSuppression":return[3,1];case"whereAsync":return[3,3]}return[3,5];case 1:return r=getParamValue("boxes",e,t,n),a=getParamValue("scores",e,t,n),i=getParamValue("maxOutputSize",e,t,n),o=getParamValue("iouThreshold",e,t,n),s=getParamValue("scoreThreshold",e,t,n),[4,_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gb.nonMaxSuppressionAsync(r,a,i,o,s)];case 2:return[2,[u.sent()]];case 3:return[4,Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Gd)(getParamValue("condition",e,t,n))];case 4:return[2,[u.sent()]];case 5:throw TypeError("Node type "+e.op+" is not implemented")}})})}var executeOp$6=function(e,t,n){switch(e.op){case"topK":var r=getParamValue("x",e,t,n),a=getParamValue("k",e,t,n),i=getParamValue("sorted",e,t,n),o=Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.sd)(r,a,i);return[o.values,o.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$7=function(e,t,n){switch(e.op){case"const":return t[e.name];case"placeholder":var r=getParamValue("default",e,t,n);return[getTensor(e.name,t,n)||r];case"identity":case"stopGradient":case"fakeQuantWithMinMaxVars":return[getParamValue("x",e,t,n)];case"snapshot":return[getParamValue("x",e,t,n).clone()];case"shape":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hd)(getParamValue("x",e,t,n).shape,"int32")];case"shapeN":return getParamValue("x",e,t,n).map(function(e){return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hd)(e.shape)});case"size":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(getParamValue("x",e,t,n).size,"int32")];case"rank":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bc)(getParamValue("x",e,t,n).rank,"int32")];case"noop":return[];case"print":var a=getParamValue("x",e,t,n),i=getParamValue("data",e,t,n),o=getParamValue("message",e,t,n),s=getParamValue("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<i.length;u++)console.log(Array.prototype.slice.call(i[0].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$8=function(e,t,n){switch(e.op){case"resizeBilinear":var r=getParamValue("images",e,t,n),a=getParamValue("size",e,t,n),i=getParamValue("alignCorners",e,t,n);return[_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gb.resizeBilinear(r,[a[0],a[1]],i)];case"resizeNearestNeighbor":return r=getParamValue("images",e,t,n),a=getParamValue("size",e,t,n),i=getParamValue("alignCorners",e,t,n),[_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.gb.resizeNearestNeighbor(r,[a[0],a[1]],i)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$9=function(e,t,n){switch(e.op){case"equal":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ma)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"notEqual":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Vb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"greater":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.bb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"greaterEqual":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.cb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"less":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.kb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"lessEqual":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.lb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"logicalAnd":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.vb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"logicalNot":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.wb)(getParamValue("a",e,t,n))];case"logicalOr":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.xb)(getParamValue("a",e,t,n),getParamValue("b",e,t,n))];case"where":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Fd)(getParamValue("condition",e,t,n),getParamValue("a",e,t,n),getParamValue("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$10=function(e,t,n){switch(e.op){case"matMul":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Ab)(getParamValue("a",e,t,n),getParamValue("b",e,t,n),getParamValue("transposeA",e,t,n),getParamValue("transposeB",e,t,n))];case"transpose":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.ud)(getParamValue("x",e,t,n),getParamValue("perm",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$11=function(e,t,n){switch(e.op){case"batchNormalization":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.G)(getParamValue("x",e,t,n),getParamValue("mean",e,t,n),getParamValue("variance",e,t,n),getParamValue("epsilon",e,t,n),getParamValue("scale",e,t,n),getParamValue("offset",e,t,n))];case"localResponseNormalization":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.qb)(getParamValue("x",e,t,n),getParamValue("radius",e,t,n),getParamValue("bias",e,t,n),getParamValue("alpha",e,t,n),getParamValue("beta",e,t,n))];case"softmax":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Pc)(getParamValue("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$12=function(e,t,n){switch(e.op){case"max":var r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Bb)(getParamValue("x",e,t,n),r,a)];case"mean":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Fb)(getParamValue("x",e,t,n),r,a)];case"min":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Hb)(getParamValue("x",e,t,n),r,a)];case"sum":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.dd)(getParamValue("x",e,t,n),r,a)];case"all":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.v)(getParamValue("x",e,t,n),r,a)];case"any":return r=getParamValue("axis",e,t,n),a=getParamValue("keepDims",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.w)(getParamValue("x",e,t,n),r,a)];case"argMax":return r=getParamValue("axis",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.x)(getParamValue("x",e,t,n),r)];case"argMin":return r=getParamValue("axis",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.y)(getParamValue("x",e,t,n),r)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$13=function(e,t,n){switch(e.op){case"concat":var r=getParamValue("axis",e,t,n),a=getParamValue("tensors",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.R)(a,r)];case"gather":r=getParamValue("axis",e,t,n);var i=getParamValue("x",e,t,n),o=getParamValue("indices",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Xa)(i,o,r)];case"reverse":return r=getParamValue("axis",e,t,n),i=getParamValue("x",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.uc)(i,r)];case"slice":var s=getParamValue("begin",e,t,n),u=getParamValue("size",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Kc)(getParamValue("x",e,t,n),s,u)];case"stridedSlice":s=getParamValue("begin",e,t,n);var l=getParamValue("end",e,t,n),c=getParamValue("strides",e,t,n),f=getParamValue("beginMask",e,t,n),p=getParamValue("endMask",e,t,n),h=getParamValue("ellipsisMask",e,t,n),d=getParamValue("newAxisMask",e,t,n),m=getParamValue("shrinkAxisMask",e,t,n),g=getParamValue("x",e,t,n);if(1===s.length&&g.shape.length>1)for(var y=1;y<g.shape.length;y++)s.push(0),l.push(g.shape[y]),c.push(c[0]);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.ad)(g,s,l,c,f,p,h,d,m)];case"stack":return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){var r=getParamValue("axis",e,t,n),a=getParamValue("tensors",e,t,n),i=a[0].shape,o=a[0].squeeze().shape,s=a.map(function(e){var t=_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.arraysEqual(e.shape,i);if(!t&&!_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.arraysEqual(e.squeeze().shape,o))throw new Error("the input tensors shape does not match");return t?e:e.reshape(i)});return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Yc)(s,r)]});case"unstack":return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){var r=getParamValue("axis",e,t,n),a=getParamValue("tensor",e,t,n);return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.xd)(a,r)});case"tile":var v=getParamValue("reps",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.pd)(getParamValue("x",e,t,n),v)];case"split":r=getParamValue("axis",e,t,n);var b=getParamValue("numOrSizeSplits",e,t,n);return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Sc)(getParamValue("x",e,t,n),b,r);default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$14=function(e,t,n){switch(e.op){case"cast":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.M)(getParamValue("x",e,t,n),getParamValue("dtype",e,t,n))];case"expandDims":var r=getParamValue("axis",e,t,n);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Qa)(getParamValue("x",e,t,n),r)];case"squeeze":return r=getParamValue("axis",e,t,n),[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Xc)(getParamValue("x",e,t,n),r)];case"reshape":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.tc)(getParamValue("x",e,t,n),getParamValue("shape",e,t,n))];case"pad":return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.cc)(getParamValue("x",e,t,n),split$1(getParamValue("padding",e,t,n),2),getParamValue("constantValue",e,t,n))];case"spaceToBatchND":var a=getParamValue("blockShape",e,t,n),i=split$1(getParamValue("paddings",e,t,n),2);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.Rc)(getParamValue("x",e,t,n),a,i)];case"batchToSpaceND":a=getParamValue("blockShape",e,t,n);var o=split$1(getParamValue("crops",e,t,n),2);return[Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.K)(getParamValue("x",e,t,n),a,o)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function executeOp$15(e,t,n){switch(e.category){case"arithmetic":return executeOp(e,t,n);case"basic_math":return executeOp$1(e,t,n);case"control":return executeOp$2(e,t,n);case"convolution":return executeOp$3(e,t,n);case"creation":return executeOp$4(e,t,n);case"dynamic":return executeOp$5(e,t,n);case"evaluation":return executeOp$6(e,t,n);case"image":return executeOp$8(e,t,n);case"graph":return executeOp$7(e,t,n);case"logical":return executeOp$9(e,t,n);case"matrices":return executeOp$10(e,t,n);case"normalization":return executeOp$11(e,t,n);case"reduction":return executeOp$12(e,t,n);case"slice_join":return executeOp$13(e,t,n);case"transformation":return executeOp$14(e,t,n);default:throw TypeError("Node type "+e.op+" is not implemented")}}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}(),GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=e.placeholders,this._outputs=e.outputs,this.compile()}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.placeholders.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.placeholders.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.outputs.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"isControlFlowModel",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"isDynamicShapeModel",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),e.prototype.compile=function(e){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var t=[],n=e||this.graph.placeholders,r=n.map(function(e){return e.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var a=n.concat(this.graph.weights),i={};a.length>0;){var o=a.pop();i[o.name]=!0,t.push(o),o.children.forEach(function(e){!i[e.name]&&e.inputNames.every(function(e){var t=getNodeNameAndIndex(e)[0];return i[t]})&&a.push(e)})}this.compiledMap.set(r,t)}}},e.prototype.execute=function(e,t,n){var r=this;void 0===t&&(t=!0);var a=Object.keys(e).sort();this.checkInput(e,t),this.checkInputShapeAndType(e,t),this.compile(a.map(function(e){return r.graph.nodes[e]}));var i=this.calculateOutputs(n);this.checkOutput(this.compiledMap.get(a.join(this.SEPERATOR)),i);var o={};return Object(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.od)(function(){for(var t=new ExecutionContext(r._weightMap,o),n=__assign({},r.weightMap,e),s=r.compiledMap.get(a.join(r.SEPERATOR)),u=0;u<s.length;u++){var l=s[u];if(n[l.name]||(n[l.name]=executeOp$15(l,n,t)),i.every(function(e){return!!n[e]}))break}return r.findOutputs(n,t,i)})},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,a,i,o,s,u,l=this;return __generator(this,function(c){switch(c.label){case 0:return this.checkInput(e,!1),this.checkInputShapeAndType(e,!1),n={},r=new ExecutionContext(this._weightMap,n),[4,this.executeWithControlFlow(e,r)];case 1:return a=c.sent(),i=this.findOutputs(a,r,t),o=Object.keys(i).map(function(e){return i[e].id}),s=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})}),u=[].concat.apply([],s),Object.keys(a).forEach(function(e){a[e].forEach(function(e){e&&-1===o.indexOf(e.id)&&-1===u.indexOf(e.id)&&-1===l.weightIds.indexOf(e.id)&&e.dispose()})}),[2,i]}})})},e.prototype.executeWithControlFlow=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,a,i,o,s,u=this;return __generator(this,function(l){switch(l.label){case 0:n=Object.keys(e),r=n.map(function(e){return u.graph.nodes[e]}),a=r.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),i=__assign({},this.weightMap,e),o={},l.label=1;case 1:return a.length>0?(s=this.processStack(r,a,t,i,o),[4,Promise.all(s)]):[3,3];case 2:return l.sent(),[3,1];case 3:return[2,i]}})})},e.prototype.processStack=function(e,t,n,r,a){for(var i=this,o=[],s=function(){var s=t.pop();n.currentContext=s.contexts;var l="";if("enter"===s.node.op&&getParamValue("isConstant",s.node,r,n)&&(l=getNodeNameAndIndex(s.node.name,n)[0]),-1===e.indexOf(s.node)){var c=executeOp$15(s.node,r,n);l||(l=getNodeNameAndIndex(s.node.name,n)[0]);var f=n.currentContext;c instanceof Promise?o.push(c.then(function(e){return r[l]=e,n.currentContext=f,i.processChildNodes(s.node,t,n,r,a),e})):(r[l]=c,u.processChildNodes(s.node,t,n,r,a))}else u.processChildNodes(s.node,t,n,r,a)},u=this;t.length>0;)s();return o},e.prototype.processChildNodes=function(e,t,n,r,a){e.children.forEach(function(e){var i=getNodeNameAndIndex(e.name,n)[0];a[i]||("merge"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,n)})&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,n)})&&(a[i]=!0,t.push({contexts:n.currentContext,node:e})))})},e.prototype.calculateOutputs=function(e){return!e||e instanceof Array||(e=[e]),e||this.graph.outputs.map(function(e){return e.name})},e.prototype.findOutputs=function(e,t,n){return this.calculateOutputs(n).reduce(function(n,r){return n[r]=getTensor(r,e,t),n},{})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e,t){void 0===t&&(t=!0),this.placeholders.forEach(function(n){var r=e[n.name];if(t||r){var a=r[0];if(n.params.shape&&n.params.shape.value){var i=n.params.shape.value,o=i.length===a.shape.length&&a.shape.every(function(e,t){return-1===i[t]||i[t]===e});_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.assert(o,"The shape of dict['"+n.name+"'] provided in model.execute(dict) must be ["+i+"], but was ["+a.shape+"]")}n.params.dtype&&n.params.dtype.value&&_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.yd.assert(a.dtype===n.params.dtype.value,"The dtype of dict['"+n.name+"'] provided in model.execute(dict) must be "+n.params.dtype.value+", but was "+a.dtype)}})},e.prototype.checkInput=function(e,t){var n=this;void 0===t&&(t=!0);var r=Object.keys(e),a=[],i=[];this.inputNodes.forEach(function(e){-1===r.indexOf(e)&&a.push(e)}),r.forEach(function(e){-1===n.inputNodes.indexOf(e)&&i.push(e)});var o=i.filter(function(e){return!n.graph.nodes[e]});if(a.length>0&&t)throw new Error("The dict provided in model.execute(dict) has the keys ["+r+"], but is missing the required keys: ["+a+"].");if(i.length>0&&t)throw new Error("The dict provided in model.execute(dict) has unused keys: ["+i+"]. Please provide only the following keys: ["+this.inputNodes+"].");if(o.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+o+"] not part of model graph.")},e.prototype.checkOutput=function(e,t){var n=e.map(function(e){return e.name}),r=[];if(t.forEach(function(e){-1===n.indexOf(e)&&r.push(e)}),r.length>0)throw new Error("The following outputs are not be generated by the execution: ["+r+"].")},e}(),FrozenModel=function(){function e(e,t,n){this.modelUrl=e,this.weightManifestUrl=t,this.requestOption=n,this.version="n/a"}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=[this.modelUrl,this.weightManifestUrl];if(this.requestOption)this.handler=_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hb.browserHTTPRequest(e,this.requestOption);else{var t=_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hb.getLoadHandlers(e);if(0===t.length)t.push(_tensorflow_tfjs_core__WEBPACK_IMPORTED_MODULE_0__.hb.browserHTTPRequest(e,this.requestOption));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n;return __generator(this,function(r){switch(r.label){case 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turtle",36:"terrapin",37:"box turtle, box tortoise",38:"banded gecko",39:"common iguana, iguana, Iguana iguana",40:"American chameleon, anole, Anolis carolinensis",41:"whiptail, whiptail lizard",42:"agama",43:"frilled lizard, Chlamydosaurus kingi",44:"alligator lizard",45:"Gila monster, Heloderma suspectum",46:"green lizard, Lacerta viridis",47:"African chameleon, Chamaeleo chamaeleon",48:"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",49:"African crocodile, Nile crocodile, Crocodylus niloticus",50:"American alligator, Alligator mississipiensis",51:"triceratops",52:"thunder snake, worm snake, Carphophis amoenus",53:"ringneck snake, ring-necked snake, ring snake",54:"hognose snake, puff adder, sand viper",55:"green snake, grass snake",56:"king snake, kingsnake",57:"garter snake, grass snake",58:"water snake",59:"vine snake",60:"night snake, Hypsiglena torquata",61:"boa constrictor, Constrictor constrictor",62:"rock python, rock snake, Python 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merganser, Mergus serrator",99:"goose",100:"black swan, Cygnus atratus",101:"tusker",102:"echidna, spiny anteater, anteater",103:"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",104:"wallaby, brush kangaroo",105:"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",106:"wombat",107:"jelly fish",108:"sea anemone, anemone",109:"brain coral",110:"flatworm, platyhelminth",111:"nematode, nematode worm, roundworm",112:"conch",113:"snail",114:"slug",115:"sea slug, nudibranch",116:"chiton, coat-of-mail shell, sea cradle, polyplacophore",117:"chambered nautilus, pearly nautilus, nautilus",118:"Dungeness crab, Cancer magister",119:"rock crab, Cancer irroratus",120:"fiddler crab",121:"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",122:"American lobster, Northern lobster, Maine lobster, Homarus americanus",123:"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",124:"crayfish, 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chow",261:"keeshond",262:"Brabancon griffon",263:"Pembroke, Pembroke Welsh corgi",264:"Cardigan, Cardigan Welsh corgi",265:"toy poodle",266:"miniature poodle",267:"standard poodle",268:"Mexican hairless",269:"timber wolf, grey wolf, gray wolf, Canis lupus",270:"white wolf, Arctic wolf, Canis lupus tundrarum",271:"red wolf, maned wolf, Canis rufus, Canis niger",272:"coyote, prairie wolf, brush wolf, Canis latrans",273:"dingo, warrigal, warragal, Canis dingo",274:"dhole, Cuon alpinus",275:"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",276:"hyena, hyaena",277:"red fox, Vulpes vulpes",278:"kit fox, Vulpes macrotis",279:"Arctic fox, white fox, Alopex lagopus",280:"grey fox, gray fox, Urocyon cinereoargenteus",281:"tabby, tabby cat",282:"tiger cat",283:"Persian cat",284:"Siamese cat, Siamese",285:"Egyptian cat",286:"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",287:"lynx, catamount",288:"leopard, Panthera pardus",289:"snow leopard, ounce, Panthera uncia",290:"jaguar, panther, Panthera onca, Felis onca",291:"lion, king of beasts, Panthera leo",292:"tiger, Panthera tigris",293:"cheetah, chetah, Acinonyx jubatus",294:"brown bear, bruin, Ursus arctos",295:"American black bear, black bear, Ursus americanus, Euarctos americanus",296:"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",297:"sloth bear, Melursus ursinus, Ursus ursinus",298:"mongoose",299:"meerkat, mierkat",300:"tiger beetle",301:"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",302:"ground beetle, carabid beetle",303:"long-horned beetle, longicorn, longicorn beetle",304:"leaf beetle, chrysomelid",305:"dung beetle",306:"rhinoceros beetle",307:"weevil",308:"fly",309:"bee",310:"ant, emmet, pismire",311:"grasshopper, hopper",312:"cricket",313:"walking stick, walkingstick, stick insect",314:"cockroach, roach",315:"mantis, mantid",316:"cicada, cicala",317:"leafhopper",318:"lacewing, lacewing fly",319:"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",320:"damselfly",321:"admiral",322:"ringlet, ringlet butterfly",323:"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",324:"cabbage butterfly",325:"sulphur butterfly, sulfur butterfly",326:"lycaenid, lycaenid butterfly",327:"starfish, sea star",328:"sea urchin",329:"sea cucumber, holothurian",330:"wood rabbit, cottontail, cottontail rabbit",331:"hare",332:"Angora, Angora rabbit",333:"hamster",334:"porcupine, hedgehog",335:"fox squirrel, eastern fox squirrel, Sciurus niger",336:"marmot",337:"beaver",338:"guinea pig, Cavia cobaya",339:"sorrel",340:"zebra",341:"hog, pig, grunter, squealer, Sus scrofa",342:"wild boar, boar, Sus scrofa",343:"warthog",344:"hippopotamus, hippo, river horse, Hippopotamus amphibius",345:"ox",346:"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",347:"bison",348:"ram, tup",349:"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",350:"ibex, Capra ibex",351:"hartebeest",352:"impala, Aepyceros melampus",353:"gazelle",354:"Arabian camel, dromedary, Camelus dromedarius",355:"llama",356:"weasel",357:"mink",358:"polecat, fitch, foulmart, foumart, Mustela putorius",359:"black-footed ferret, ferret, Mustela nigripes",360:"otter",361:"skunk, polecat, wood pussy",362:"badger",363:"armadillo",364:"three-toed sloth, ai, Bradypus tridactylus",365:"orangutan, orang, orangutang, Pongo pygmaeus",366:"gorilla, Gorilla gorilla",367:"chimpanzee, chimp, Pan troglodytes",368:"gibbon, Hylobates lar",369:"siamang, Hylobates syndactylus, Symphalangus syndactylus",370:"guenon, guenon monkey",371:"patas, hussar monkey, Erythrocebus patas",372:"baboon",373:"macaque",374:"langur",375:"colobus, colobus monkey",376:"proboscis monkey, Nasalis larvatus",377:"marmoset",378:"capuchin, ringtail, Cebus capucinus",379:"howler monkey, howler",380:"titi, titi monkey",381:"spider monkey, Ateles geoffroyi",382:"squirrel monkey, Saimiri sciureus",383:"Madagascar cat, ring-tailed lemur, Lemur catta",384:"indri, indris, Indri indri, Indri brevicaudatus",385:"Indian elephant, Elephas maximus",386:"African elephant, Loxodonta africana",387:"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",388:"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",389:"barracouta, snoek",390:"eel",391:"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",392:"rock beauty, Holocanthus tricolor",393:"anemone fish",394:"sturgeon",395:"gar, garfish, garpike, billfish, Lepisosteus osseus",396:"lionfish",397:"puffer, pufferfish, blowfish, globefish",398:"abacus",399:"abaya",400:"academic gown, academic robe, judge's robe",401:"accordion, piano accordion, squeeze box",402:"acoustic guitar",403:"aircraft carrier, carrier, flattop, attack aircraft carrier",404:"airliner",405:"airship, dirigible",406:"altar",407:"ambulance",408:"amphibian, amphibious vehicle",409:"analog clock",410:"apiary, bee house",411:"apron",412:"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",413:"assault rifle, assault gun",414:"backpack, back pack, knapsack, packsack, rucksack, haversack",415:"bakery, bakeshop, bakehouse",416:"balance beam, beam",417:"balloon",418:"ballpoint, ballpoint pen, ballpen, Biro",419:"Band Aid",420:"banjo",421:"bannister, banister, balustrade, balusters, handrail",422:"barbell",423:"barber chair",424:"barbershop",425:"barn",426:"barometer",427:"barrel, cask",428:"barrow, garden cart, lawn cart, wheelbarrow",429:"baseball",430:"basketball",431:"bassinet",432:"bassoon",433:"bathing cap, swimming cap",434:"bath towel",435:"bathtub, bathing tub, bath, tub",436:"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",437:"beacon, lighthouse, beacon light, pharos",438:"beaker",439:"bearskin, busby, shako",440:"beer bottle",441:"beer glass",442:"bell cote, bell cot",443:"bib",444:"bicycle-built-for-two, tandem bicycle, tandem",445:"bikini, two-piece",446:"binder, ring-binder",447:"binoculars, field glasses, opera glasses",448:"birdhouse",449:"boathouse",450:"bobsled, bobsleigh, bob",451:"bolo tie, bolo, bola tie, bola",452:"bonnet, poke bonnet",453:"bookcase",454:"bookshop, bookstore, bookstall",455:"bottlecap",456:"bow",457:"bow tie, bow-tie, bowtie",458:"brass, memorial tablet, plaque",459:"brassiere, bra, bandeau",460:"breakwater, groin, groyne, mole, bulwark, seawall, jetty",461:"breastplate, aegis, egis",462:"broom",463:"bucket, pail",464:"buckle",465:"bulletproof vest",466:"bullet train, bullet",467:"butcher shop, meat market",468:"cab, hack, taxi, taxicab",469:"caldron, cauldron",470:"candle, taper, wax light",471:"cannon",472:"canoe",473:"can opener, tin opener",474:"cardigan",475:"car mirror",476:"carousel, carrousel, merry-go-round, roundabout, whirligig",477:"carpenter's kit, tool kit",478:"carton",479:"car wheel",480:"cash 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Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new b("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return et(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),rt(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;Object(r.tidy)(function(){var n=t.weights;if(n.length!==e.length)throw new w('You called setWeights(weights) on layer "'+t.name+'" with a weight list of length '+e.length+", but the layer was expecting "+n.length+" weights. 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e(){this.validationData=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.onEpochBegin=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(e){return[2]})})},e.prototype.onEpochEnd=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(e){return[2]})})},e.prototype.onBatchBegin=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(e){return[2]})})},e.prototype.onBatchEnd=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(e){return[2]})})},e.prototype.onTrainBegin=function(e){return s(this,void 0,void 0,function(){return u(this,function(e){return[2]})})},e.prototype.onTrainEnd=function(e){return s(this,void 0,void 0,function(){return u(this,function(e){return[2]})})},e.prototype.setModel=function(e){},e}(),yt=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}return 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i.sent(),n=r.util.now(),[4,Object(r.nextFrame)()];case 2:return i.sent(),this.batchCount>e.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(n-this.batchStartMillis),this.batchDurationsMillis.length>=e.DECISION_BATCH_COUNT&&(a=this.batchDurationsMillis.reduce(function(e,t){return e+t})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(e.THRESHOLD_MILLIS/a),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=r.util.now(),this.lastYieldBatchCount=this.batchCount,[3,6];case 3:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,Object(r.nextFrame)()]:[3,6];case 4:return i.sent(),[4,this.resolveOneTensorInLogs(t)];case 5:i.sent(),this.lastYieldBatchCount=this.batchCount,i.label=6;case 6:return[3,9];case 7:return"batch"!==this.yieldEvery?[3,9]:[4,Object(r.nextFrame)()];case 8:i.sent(),i.label=9;case 9:return[2]}})})},e.prototype.maybeYieldOnEpoch=function(){return s(this,void 0,void 0,function(){return 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The model has "+this.outputs.length+" output(s), but you passed loss="+e.loss+".");var a=e.loss;n=a.map(function(e){return Ft(e)})}else{var i=Ft(e.loss);this.outputs.map(function(e){n.push(i)})}else{for(var o in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(o))throw new w('Unknown entry in loss dictionary: "'+o+'". Only expect the following keys: '+this.outputNames);for(var s in this.outputNames)null==e.loss[s]&&console.warn('Output "'+s+'" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+s+" during training"),n.push(Ft(e.loss[s]))}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var u=0;u<this.outputs.length;++u){var l=this.internalOutputShapes[u],f=this.outputNames[u];this.feedOutputNames.push(f),this.feedOutputShapes.push(l),this.feedLossFns.push(this.lossFunctions[u])}var p=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],re("loss",function(){for(var e=0;e<t.outputs.length;++e)if(-1===p.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+"_loss"))}});var h=function(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map(function(e){return[]});if(Array.isArray(e))return t.map(function(t){return e});if(null!=e){for(var n=[],r=0,a=t;r<a.length;r++){var i=a[r],o=e.hasOwnProperty(i)?e[i]:[];Array.isArray(o)||(o=[o]),n.push(o)}return n}throw new TypeError("Type of metrics argument not understood. Expected an Array or Object, found: "+e)}(e.metrics,this.outputNames);re("metric",function(){for(var e=function(e){if(-1!==p.indexOf(e))return"continue";!function(n){for(var r,a,i,o=function(n){if(-1!==["accuracy","acc","crossentropy","ce"].indexOf(n)){var o=t.internalOutputShapes[e];1===o[o.length-1]||t.lossFunctions[e]===jt?-1!==["accuracy","acc"].indexOf(n)?a=Vt:-1!==["crossentropy","ce"].indexOf(n)&&(a=$t):t.lossFunctions[e]===Dt?-1!==["accuracy","acc"].indexOf(n)?a=Gt:-1!==["crossentropy","ce"].indexOf(n)&&(a=tn):-1!==["accuracy","acc"].indexOf(n)?a=Ut:-1!==["crossentropy","ce"].indexOf(n)&&(a=Qt);var s=void 0;-1!==["accuracy","acc"].indexOf(n)?s="acc":-1!==["crossentropy","ce"].indexOf(n)&&(s="ce"),i=a,r=""+s}else{var u=function(e){var t={binaryAccuracy:Vt,categoricalAccuracy:Ut,precision:qt,categoricalCrossentropy:Qt,sparseCategoricalCrossentropy:tn,mse:Ht,MSE:Kt,mae:Xt,MAE:Yt,mape:Jt,MAPE:Zt,cosine:en};if("string"==typeof e&&e in t)return t[e];if("string"!=typeof e&&null!=e)return e;throw new w("Unknown metric "+e)}(n);i=u,r=""+n}var l;re(r,function(){l=i}),function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+"_"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])}(e,r,l)},s=0,u=h[e];s<u.length;s++)o(u[s])}()},n=0;n<t.outputs.length;++n)e(n)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;vn(r);var a=this.standardizeUserData(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return O(this.testLoop(o,i,r,n.verbose,n.steps))}finally{Nn(a[0],e),Nn(a[1],t)}},t.prototype.evaluateDataset=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(n){return this.makeTestFunction(),[2,function(e,t,n){return s(this,void 0,void 0,function(){var a,i,o,s,l,c,f,p,h,d;return u(this,function(m){switch(m.label){case 0:if(a=null!=n.batches,i=e.testFunction,o=[],n.verbose>0)throw new x("Verbose mode is not implemented yet.");return r.util.assert(!a||n.batches>0&&Number.isInteger(n.batches),"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(n.batches)),"function"==typeof t.next?(l=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:l=m.sent(),m.label=3;case 3:s=l,c=0,f=0,p=function(){var t,l,p,h,d,m;return u(this,function(u){switch(u.label){case 0:return[4,s.next()];case 1:if((t=u.sent()).value){if(l=gn(e,t.value),p=Object(r.tidy)(function(){return i(l)}),Object(r.dispose)(l),0===f)for(m=0;m<p.length;++m)o.push(y(0));for(h=l[0].shape[0],d=function(e){var t=p[e],n=o[e];o[e]=Object(r.tidy)(function(){return Object(r.add)(o[e],Object(r.mul)(y(h),t))}),f>0&&Object(r.dispose)(n)},m=0;m<p.length;++m)d(m);Object(r.dispose)(p),c+=h,++f}return t.done?(a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+n.batches+" batches). 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Use Model.compile(modelCompileConfig).");for(var i=[],o=0;o<this.feedOutputShapes.length;++o){var s=this.feedOutputShapes[o];this.feedLossFns[o]===Dt?i.push(s.slice(0,s.length-1).concat([1])):i.push(s)}if(function(e,t,n){var a=R(e.map(function(e){return e.shape[0]}));a.sort();var i=R(t.map(function(e){return e.shape[0]}));if(i.sort(),a.length>1)throw new w("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new w("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(e){return e.shape})));if(a.length>0&&i.length>0&&!r.util.arraysEqual(a,i))throw new w("Input Tensors should have the same number of samples as target Tensors. Found "+a[0]+" input sample(s) and "+i[0]+" target sample(s).")}(e=kn(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=kn(t,this.feedOutputNames,i,!1,"target")),function(e,t,n){for(var r=[Ot,jt,Rt],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===Rt&&1===i.shape[i.shape.length-1])throw new w("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var f=u[c],p=l[c];if(null!=p&&f!==p)throw new w("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=a&&a>0&&e[0].shape[0]%a!=0)throw new w("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+a+". Found: "+e[0].shape[0]+" sample(s).");return[e,t,null]},t.prototype.testLoop=function(e,t,n,a,i){var o=this;return void 0===a&&(a=0),Object(r.tidy)(function(){var s=o.checkNumSamples(t,n,i,"steps"),u=[];if(a>0)throw new x("Verbose mode is not implemented yet.");if(null!=i)throw new x("steps mode in testLoop() is not implemented yet");for(var l=xn(s,n),c=Object(r.tensor1d)(he(0,s)),f=0;f<l.length;++f){var p=l[f][0],h=l[f][1],d=ge(c,p,h-p),m=wn(t,d),g=e(m);if(0===f)for(var v=0;v<g.length;++v)u.push(y(0));for(v=0;v<g.length;++v){var b=g[v];u[v]=Object(r.add)(u[v],Object(r.mul)(y(h-p),b))}}for(v=0;v<u.length;++v)u[v]=Object(r.div)(u[v],y(s));return u})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;S(e,r)>1&&(a+="_"+S(e.slice(0,n),r)),t.push(a)}return t},t.prototype.makeTrainFunction=function(){var e=this;return function(t){var n=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=[],o=e.collectedTrainableWeights.map(function(e){return e.read()});return[e.optimizer.minimize(function(){for(var t=[],o=0;o<e.inputs.length;++o)t.push({key:e.inputs[o],value:n[o]});var s,u=new pn(t),l=hn(e.outputs,u,{training:!0});for(o=0;o<e.lossFunctions.length;++o){var c=(0,e.lossFunctions[o])(a[o],l[o]);Object(r.mean)(c),s=0===o?c:Object(r.add)(s,c)}for(o=0;o<e.metricsTensors.length;++o){var f=e.metricsTensors[o][0],p=e.metricsTensors[o][1],h=Object(r.mean)(f(a[p],l[p]));Object(r.keep)(h),i.push(h)}return s=Object(r.mean)(s),e.calculateLosses().forEach(function(e){s=Object(r.add)(s,e)}),s},!0,o)].concat(i)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return Object(r.tidy)(function(){for(var n,a=[],i=t.slice(0,e.inputs.length),o=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),s=[],u=0;u<e.inputs.length;++u)s.push({key:e.inputs[u],value:i[u]});var l=new pn(s),c=hn(e.outputs,l);for(u=0;u<e.lossFunctions.length;++u){var f=e.lossFunctions[u],p=Object(r.mean)(f(o[u],c[u]));n=0===u?p:Object(r.add)(n,p),a.push(n)}for(u=0;u<e.metricsTensors.length;++u){var h=e.metricsTensors[u][0],d=e.metricsTensors[u][1],m=Object(r.mean)(h(o[d],c[d]));a.push(m)}return a})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),s(this,void 0,void 0,function(){return u(this,function(r){return[2,_n(this,e,t,n)]})})},t.prototype.fitDataset=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(n){return[2,function(e,t,n){return s(this,void 0,void 0,function(){var a,i,o,s,l,c,f,p,h,d,m,g,y,v,b,w,_,E,N,S,O,I,C,P,A,T;return u(this,function(u){switch(u.label){case 0:if(a=null!=n.batchesPerEpoch,r.util.assert(null!=e.optimizer,"You must compile a model before training/testing. Use Model.compile(modelCompileConfig)."),r.util.assert(null!=n,"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),r.util.assert(null!=n.epochs&&n.epochs>0&&Number.isInteger(n.epochs),"For fitDataset(), config.epochs is expected to be a positive integer, but got "+n.epochs),r.util.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+n.batchesPerEpoch),r.util.assert(null==n.validationSplit,"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0,u.label=1;case 1:return u.trys.push([1,,21,22]),i=null!=n.validationData,o=void 0,s=void 0,i&&(yn(n.validationData)?r.util.assert(null==n.validationBatches||n.validationBatches>0&&Number.isInteger(n.validationBatches),"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+n.validationBatches):(l=function(e){if(3===e.length)throw new x("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}(n.validationData),o=l.xs,s=l.ys)),c=e.makeTrainFunction(),f=e.getDedupedMetricsNames(),p=void 0,p=i?f.slice().concat(f.map(function(e){return"val_"+e})):f.slice(),h=_t(n.callbacks),d=Nt(h,n.yieldEvery,n.verbose,n.epochs,null,null,n.batchesPerEpoch,null,i,p),m=d.callbackList,g=d.history,e.history=g,[4,m.onTrainBegin()];case 2:return u.sent(),y=null==n.initialEpoch?0:n.initialEpoch,v={},[4,t.iterator()];case 3:b=u.sent(),u.label=4;case 4:return y<n.epochs?[4,m.onEpochBegin(y)]:[3,18];case 5:return u.sent(),w=0,_=0,a?[3,7]:[4,t.iterator()];case 6:b=u.sent(),u.label=7;case 7:return!a||w<n.batchesPerEpoch?[4,b.next()]:[3,16];case 8:if(E=u.sent(),a&&E.done)return console.warn("You provided `batchesPerEpoch` as "+n.batchesPerEpoch+", but your dataset iterator ran out of data after "+w+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+n.batchesPerEpoch*n.epochs+" batches). 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t.hasL1&&(n=Object(r.add)(n,Object(r.sum)(Object(r.mul)(t.l1,Object(r.abs)(e))))),t.hasL2&&(n=Object(r.add)(n,Object(r.sum)(Object(r.mul)(t.l2,Se(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className="L1L2",t}(nr);r.serialization.registerClass(rr);var ar={l1l2:"L1L2"};function ir(e){return A(e)}function or(e,t){return void 0===t&&(t={}),T(e,r.serialization.SerializationMap.getMap().classNameMap,t,"regularizer")}function sr(e){return null==e?null:"string"==typeof e?or({className:e in ar?ar[e]:e,config:{}}):e instanceof nr?e:or(e)}function ur(e,t,n){if("number"==typeof e)return E(e,t);if(e.length!==t)throw new w("The "+n+" argument must be a tuple of "+t+" integers. 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Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e}function lr(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(i="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function cr(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+pe([n-t,0]);else{if("same"!==r)throw new w("Unsupport padding mode: "+r+".");e*=t}return e}function fr(e,t){return Object(r.tidy)(function(){return J(t),"channelsFirst"===t?Object(r.transpose)(e,[0,2,3,1]):e})}var pr=function(e){function t(n,r){var a=e.call(this,r)||this;if(a.bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyConfig(r),a.rank=n,1!==a.rank&&2!==a.rank)throw new x("Convolution layer for rank other than 1 or 2 ("+a.rank+") is not implemented yet.");if(a.kernelSize=ur(r.kernelSize,n,"kernelSize"),a.strides=ur(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,Q(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,J(a.dataFormat),a.activation=Yn(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Ke(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=H(r.biasConstraint),a.biasRegularizer=sr(r.biasRegularizer),a.activityRegularizer=sr(r.activityRegularizer),a.dilationRate=ur(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new w("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new w("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate));return a}return i(t,e),t.verifyConfig=function(e){if(N("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,2))throw new w("BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Kn(this.activation),useBias:this.useBias,biasInitializer:He(this.biasInitializer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),hr=function(e){function t(n,r){var a=e.call(this,n,r)||this;return a.kernel=null,t.verifyConfig(r),a.filters=r.filters,a.kernelInitializer=Ke(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=H(r.kernelConstraint),a.kernelRegularizer=sr(r.kernelRegularizer),a}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new w("The channel dimension of the input should be defined. Found "+e[t]);var n,r=e[t],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t;e=Ze(e);var a=null==n.bias?null:n.bias.read();if(1===n.rank)t=function(e,t,n,a,i,o,s){return void 0===a&&(a=1),void 0===i&&(i="valid"),void 0===s&&(s=1),Object(r.tidy)(function(){if(null==o&&(o="channelsLast"),J(o),3!==e.shape.length)throw new w("The input of a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead.");if(3!==t.shape.length)throw new w("The kernel for a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new w("The bias for a conv1dWithBias operation should be 1, but is "+t.shape.length+" instead");if("channelsFirst"===o&&(e=Object(r.transpose)(e,[0,2,1])),"causal"===i)throw new x("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var u=Object(r.conv1d)(e,t,a,"same"===i?"same":"valid","NWC",s);return null!=n&&(u=Oe(u,n)),u})}(e,n.kernel.read(),a,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=function(e,t,n,a,i,o,s){return void 0===a&&(a=[1,1]),void 0===i&&(i="valid"),Object(r.tidy)(function(){if(null==o&&(o="channelsLast"),J(o),3!==e.rank&&4!==e.rank)throw new w("conv2dWithBias expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==t.rank&&4!==t.rank)throw new w("conv2dWithBias expects kernel to be of rank 3 or 4, but received "+e.rank+".");var u=fr(e,o);if("causal"===i)throw new x("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Object(r.conv2d)(u,t,a,"same"===i?"same":"valid","NHWC",s),null!=n&&(u=Oe(u,n)),"channelsFirst"===o&&(u=Object(r.transpose)(u,[0,3,1,2])),u})}(e,n.kernel.read(),a,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new x("3D convolution is not implemented yet.");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=Qe(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=lr(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i},t.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:He(this.kernelInitializer),kernelRegularizer:ir(this.kernelRegularizer),kernelConstraint:$(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new w("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(pr),dr=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return i(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if("number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,2))throw new w("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv2D",t}(hr);r.serialization.registerClass(dr);var mr=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new ot({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new w("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return i(t,e),t.prototype.build=function(e){if(4!==(e=Qe(e)).length)throw new w("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new w("The channel dimension of the inputs should be defined. Found `None`.");var n,r=e[t],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ot({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e);if(4!==t.shape.length)throw new w("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(a=2,i=3):(a=1,i=2);var u=o[a],l=o[i],c=n.kernelSize[0],f=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[s,cr(u,p,c,n.padding),cr(l,h,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=Object(r.transpose)(t,[0,2,3,1]));var m=Object(r.conv2dTranspose)(t,n.kernel.read(),d,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(m=Object(r.transpose)(m,[0,3,1,2])),null!=n.bias&&(m=Oe(m,n.bias.read(),n.dataFormat)),null!=n.activation&&(m=n.activation.apply(m)),m})},t.prototype.computeOutputShape=function(e){var t,n,r,a=(e=Qe(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=cr(a[n],s,i,this.padding),a[r]=cr(a[r],u,o,this.padding),a},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className="Conv2DTranspose",t}(dr);r.serialization.registerClass(mr);var gr=function(e){function t(t){return e.call(this,2,t)||this}return i(t,e),t.className="SeparableConv2D",t}(function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new w("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new w("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new w("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=sr(n.depthwiseRegularizer),r.depthwiseConstraint=H(n.depthwiseConstraint),r.pointwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=sr(n.pointwiseRegularizer),r.pointwiseConstraint=H(n.pointwiseConstraint),r}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<this.rank+2)throw new w("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var t,n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new w("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new ot({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t;if(e=Ze(e),1===n.rank)throw new x("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=Object(r.transpose)(e,[0,2,3,1])),t=Object(r.separableConv2d)(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=Object(r.transpose)(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=He(this.depthwiseInitializer),t.pointwiseInitializer=He(this.pointwiseInitializer),t.depthwiseRegularizer=ir(this.depthwiseRegularizer),t.pointwiseRegularizer=ir(this.pointwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseConstraint),t.pointwiseConstraint=$(this.pointwiseConstraint),t},t.className="SeparableConv",t}(hr));r.serialization.registerClass(gr);var yr=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return i(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if("number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,1))throw new w("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv1D",t}(hr);r.serialization.registerClass(yr);var vr=function(e){function t(t){var n=e.call(this,t)||this;return"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return e=Ze(e),"channelsLast"===n.dataFormat?ve(ve(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):ve(ve(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Cropping2D",t}(ft);r.serialization.registerClass(vr);var br=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,n}return i(t,e),t.prototype.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}return t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2],[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e),a=t.shape;if("channelsFirst"===n.dataFormat){t=Object(r.transpose)(t,[0,2,3,1]);var i=n.size[0]*a[2],o=n.size[1]*a[3],s=t.resizeNearestNeighbor([i,o]);return Object(r.transpose)(s,[0,3,1,2])}return i=n.size[0]*a[1],o=n.size[1]*a[2],t.resizeNearestNeighbor([i,o])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="UpSampling2D",t}(ft);r.serialization.registerClass(br);var wr=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=Ke(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=H(t.depthwiseConstraint),n.depthwiseRegularizer=sr(t.depthwiseRegularizer),n}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<4)throw new w("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new w("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=function(e,t,n,a,i,o){return void 0===n&&(n=[1,1]),void 0===a&&(a="valid"),Object(r.tidy)(function(){null==i&&(i="channelsLast"),J(i);var o=fr(e,i);if(4!==e.rank)throw new w("Input for depthwiseConv2d is required to be 4-D, but is instead "+e.rank+"-D");if(4!==t.rank)throw new w("depthwiseKernel is required to be 4-D, but is instead "+t.rank+"-D");return o=Object(r.depthwiseConv2d)(o,t,n,"same"===a?"same":"valid","NHWC",null),"channelsFirst"===i&&(o=Object(r.transpose)(o,[0,3,1,2])),o})}(e=Ze(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat);return n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=lr(t,this.kernelSize[0],this.padding,this.strides[0]),i=lr(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=He(this.depthwiseInitializer),t.depthwiseRegularizer=ir(this.depthwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseRegularizer),t},t.className="DepthwiseConv2D",t}(pr);r.serialization.registerClass(wr);var xr=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=y(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new x("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return i(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var a=Ze(e);if(null!=n.noiseShape&&!r.util.arraysEqual(a.shape,n.noiseShape))throw new x("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,o=n.getNoiseShape(a);return Ie(function(){return ke(a,n.rateScalar,o,n.seed)},function(){return a},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dropout",t}(ft);r.serialization.registerClass(xr);var _r=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=Yn(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=H(t.kernelConstraint),n.biasConstraint=H(t.biasConstraint),n.kernelRegularizer=sr(t.kernelRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.activityRegularizer=sr(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return i(t,e),t.prototype.build=function(e){var t,n=(e=Qe(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ee(Ze(e),n.kernel.read());return null!=n.bias&&(r=Oe(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dense",t}(ft);r.serialization.registerClass(_r);var Er=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return i(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=Qe(e)).slice(1);t<n.length;t++)if(null==n[t])throw new w('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[e[0],le(e,1)]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return n.invokeCallHook(e,t),function(e){if(e.rank<=1)throw new w("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],le(e.shape,1)];return e.reshape(t)}(Ze(e))})},t.className="Flatten",t}(ft);r.serialization.registerClass(Er);var Nr=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=Yn(t.activation),n}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ze(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:Kn(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Activation",t}(ft);r.serialization.registerClass(Nr);var Sr=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return function(e,t){return Object(r.tidy)(function(){if(2!==e.shape.length)throw new w("repeat() expects a rank-2 tensor, but received a rank-"+e.shape.length+" tensor.");return xe(me(e,1),[1,t,1])})}(e=Ze(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="RepeatVector",t}(ft);r.serialization.registerClass(Sr);var Or=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return i(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new w("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=le(e);if(null!==i){if(0===a||u%a!=0)throw new w(n);r[i]=u/a}else if(u!==a)throw new w(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ze(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Reshape",t}(ft);r.serialization.registerClass(Or);var kr=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var a=he(1,t.dims.length+1);if(!r.util.arraysEqual(t.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new ot({ndim:n.dims.length+1})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return Object(r.transpose)(Ze(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Permute",t}(ft);r.serialization.registerClass(kr);var Ir=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(k(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=Ke(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=sr(t.embeddingsRegularizer),n.activityRegularizer=sr(t.activityRegularizer),n.embeddingsConstraint=H(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return i(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Embedding yet")},t.prototype.computeOutputShape=function(e){if(e=Qe(e),null==this.inputLength)return e.concat([this.outputDim]);var t=k(this.inputLength);if(t.length!==e.length-1)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ze(e);return"int32"!==r.dtype&&(r=de(r,"int32")),Ne(n.embeddings.read(),r.as1D()).reshape(Qe(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:He(this.embeddingsInitializer),embeddingsRegularizer:ir(this.embeddingsRegularizer),activityRegularizer:ir(this.activityRegularizer),embeddingsConstraint:$(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Embedding",t}(ft);r.serialization.registerClass(Ir);var Cr=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return i(t,e),t.prototype.mergeFunction=function(e){throw new x},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new w("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Qe(e)]),(e=e).length<2)throw new w("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t=[],n=0,r=e;n<r.length;n++)null!=(o=r[n])&&null!==o[0]&&t.push(o[0]);if((t=R(t)).length>1)throw new w("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var a=null==e[0]?null:e[0].slice(1),i=1;i<e.length;++i){var o=null==e[i]?null:e[i].slice(1);a=this.computeElementwiseOpOutputShape(a,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===R(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){if(e=e,n.reshapeRequired){var t=[],a=e.map(function(e){return e.rank});if(-1===a.indexOf(null)){for(var i=pe(a),o=0,s=e;o<s.length;o++){for(var u=(h=s[o]).rank,l=0;l<i-u;++l)h=me(h,1);t.push(h)}return n.mergeFunction(t)}for(var c=!1,f=0,p=e;f<p.length;f++){var h;if(null==(u=(h=p[f]).rank)){var d=h.shape,m=d[0],g=d.slice(1).concat([m]),y=h.reshape([m].concat(le(d.slice(1))));y=(y=Object(r.transpose)(y,[1,0])).reshape(g),t.push(y),c=!0}else if(u>1){var v=he(1,u).concat([0]);t.push(Object(r.transpose)(h,v)),c=!0}else t.push(h)}var b=n.mergeFunction(t),w=b.rank;if(c)if(null==w){var x=b.shape;g=[m=x[x.length-1]].concat(x.slice(0,x.length-1)),b=Object(r.transpose)(b.reshape([-1,m]),[1,0]).reshape(g)}else w>1&&(v=[w-1].concat(he(0,w-1)),b=Object(r.transpose)(b,v));return b}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a=[],i=0,o=e;i<o.length;i++)null!=(r=o[i])&&null!==r[0]&&a.push(r[0]);return 1===(a=R(a)).length?a.concat(t):[null].concat(t)},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Merge yet")},t}(ft),Pr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.add)(t,e[n]);return t})},t.className="Add",t}(Cr);r.serialization.registerClass(Pr);var Ar=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.mul)(t,e[n]);return t})},t.className="Multiply",t}(Cr);r.serialization.registerClass(Ar);var Tr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.add)(t,e[n]);return Object(r.mul)(y(1/e.length),t)})},t.className="Average",t}(Cr);r.serialization.registerClass(Tr);var Mr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.maximum)(t,e[n]);return t})},t.className="Maximum",t}(Cr);r.serialization.registerClass(Mr);var Rr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.minimum)(t,e[n]);return t})},t.className="Minimum",t}(Cr);r.serialization.registerClass(Rr);var Dr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return i(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new w("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t=!0,n=0,a=e=e;n<a.length;n++)if(null!=(f=a[n])){t=!1;break}if(!t){for(var i=[],o=0;o<e.length;++o){var s=e[o].slice();s.splice(this.axis,1);for(var u=!1,l=0,c=i;l<c.length;l++){var f=c[l];if(r.util.arraysEqual(f,s)){u=!0;break}}u||i.push(s)}if(i.length>1)throw new w("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return Object(r.tidy)(function(){return be(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new w("A `Concatenate` layer should be called on a list of inputs.");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,a=0,i=t.slice(1);a<i.length;a++){var o=i[a];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Concatenate yet")},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Concatenate",t}(Cr);function jr(e,t){for(;e<0;)e+=t;return e}r.serialization.registerClass(Dr);var Lr=function(e){function t(t){var n=e.call(this,t)||this;return n.axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return i(t,e),t.prototype.build=function(e){r.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),"A `Dot` layer should be called on a list of exactly 2 inputs.");var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new x("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new w("Dimension incompatibility: "+t[a[0]]+" !== "+n[a[1]])},t.prototype.mergeFunction=function(e){if(2!==e.length)throw new w("A `Dot` layer must be called on exactly 2 inputs, but received "+e.length+" input(s).");var t,n=e[0],a=e[1];return t=Array.isArray(this.axes)?this.axes.map(function(t,n){return jr(t,e[n].shape.length)}):[jr(this.axes,n.shape.length),jr(this.axes,a.shape.length)],this.normalize&&(n=St(n,t[0]),a=St(a,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new x("batchDot is not implemented for tensors of 4D or higher rank yet");if(r.util.assert(e.shape.length>=2,"batchDot requires the rank of x to be >= 2, but got "+e.shape.length),r.util.assert(e.shape.length>=2,"batchDot requires the rank of y to be >= 2, but got "+t.shape.length),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new x("batchDot is not implemented for complex64-type Tensors yet.");var a=e.shape.length,i=t.shape.length;null==n&&(n=[a-1,i-2]);var o=n;return Object(r.tidy)(function(){var n,r;if(a>i){n=a-i;for(var s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else if(i>a){for(n=i-a,s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else n=0;if(2===e.shape.length&&2===t.shape.length)r=o[0]===o[1]?e.mulStrict(t).sum(o[0]):e.transpose([1,0]).mulStrict(t).sum(o[1]);else{var l=o[0]!==e.shape.length-1||null,c=o[1]===t.shape.length-1||null;r=e.matMul(t,l,c)}if(n>0){var f,p=[];for(u=f=a>i?a+i-3:a-1;u<f+n;++u)p.push(u);r=r.squeeze(p)}return 1===r.shape.length&&(r=r.expandDims(1)),r})}(n,a,t)},t.prototype.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[jr(this.axes,e.length),jr(this.axes,t.length)]},t.prototype.computeOutputShape=function(e){r.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),"A `Dot` layer should be called on a list of exactly 2 inputs.");var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new x("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);var i=t.concat(n);return 1===i.length&&i.push(1),i},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Dot yet")},t.prototype.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dot",t}(Cr);function Br(e,t,n,a,i,o){var s;if(void 0===o&&(o=.001),2===e.rank)s=Object(r.batchNormalization2d)(e,t,n,o,i,a);else if(3===e.rank)s=Object(r.batchNormalization3d)(e,t,n,o,i,a);else{if(4!==e.rank)throw new x("batchNormalization is not implemented for array of rank "+e.rank+" yet");s=Object(r.batchNormalization4d)(e,t,n,o,i,a)}return s}r.serialization.registerClass(Lr);var zr=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=Ke(t.betaInitializer||"zeros"),n.gammaInitializer=Ke(t.gammaInitializer||"ones"),n.movingMeanInitializer=Ke(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Ke(t.movingVarianceInitializer||"ones"),n.betaConstraint=H(t.betaConstraint),n.gammaConstraint=H(t.gammaConstraint),n.betaRegularizer=sr(t.betaRegularizer),n.gammaRegularizer=sr(t.gammaRegularizer),n.stepCount=0,n}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new w("Axis "+t+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new ot({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var a=null!=t.training&&t.training,i=Ze(e),o=i.shape,s=o.length,u=he(0,s),l=n.axis>=0?n.axis:n.axis+s;u.splice(l,1);var c=E(1,s);c[l]=o[l];var f=u.slice();f.sort();var p=!r.util.arraysEqual(f,he(0,s).slice(0,s-1));if(!a)return function(){if(p){var e=n.movingMean.read().reshape(c),t=n.movingVariance.read().reshape(c),r=n.center?n.beta.read().reshape(c):null,a=n.scale?n.gamma.read().reshape(c):null;return Br(i,e,t,r,a,n.epsilon)}return Br(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(e,t,n,a,i){return void 0===i&&(i=.001),r.util.arraysEqual(a.slice().sort(),he(0,e.rank-1))?function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.tidy)(function(){var o=Object(r.moments)(e,a),s=o.mean,u=o.variance;return[Br(e,s,u,n,t,i),s,u]})}(e,t,n,a,i):function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.tidy)(function(){for(var o=Object(r.moments)(e,a),s=o.mean,u=o.variance,l=[],c=0,f=he(0,e.rank);c<f.length;c++){var p=f[c];-1!==a.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=s.reshape(l),d=u.reshape(l),m=null==t?null:t.reshape(l),g=null==n?null:n.reshape(l);return[Br(e,h,d,g,m,i),s,u]})}(e,t,n,a,i)}(i,n.gamma.read(),n.beta.read(),u,n.epsilon),d=h[0],m=h[1],g=h[2],v=le(u.map(function(e){return i.shape[e]})),b=g.mul(y(v/(v-(1+n.epsilon))));return function(){n.stepCount++;var e=Object(r.movingAverage)(n.movingMean.read(),m,n.momentum,n.stepCount);n.movingMean.write(e);var t=Object(r.movingAverage)(n.movingVariance.read(),b,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:He(this.betaInitializer),gammaInitializer:He(this.gammaInitializer),movingMeanInitializer:He(this.movingMeanInitializer),movingVarianceInitializer:He(this.movingVarianceInitializer),betaRegularizer:ir(this.betaRegularizer),gammaRegularizer:ir(this.gammaRegularizer),betaConstraint:$(this.betaConstraint),gammaConstraint:$(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="BatchNormalization",t}(ft);r.serialization.registerClass(zr);var Fr=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new w("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r=void 0,a=void 0;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new w("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new w("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new ot({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=Qe(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return function(e,t,n){return Object(r.tidy)(function(){if(4!==e.rank)throw new w("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new w("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new w("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var a;return a="channelsFirst"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],Object(r.pad)(e,a)})}(Ze(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ZeroPadding2D",t}(ft);function Vr(e,t,n,a,i,o){return Object(r.tidy)(function(){var s;J(i),j(ee,"PoolMode",o),Q(a),null==n&&(n=[1,1]),null==a&&(a="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),e=fr(e,i);var u="same"===a?"same":"valid";return s="max"===o?Object(r.maxPool)(e,t,n,u):Object(r.avgPool)(e,t,n,u),"channelsFirst"===i&&(s=Object(r.transpose)(s,[0,3,1,2])),s})}r.serialization.registerClass(Fr);var Ur=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new w("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new w("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?"valid":t.padding,Q(n.padding),n.inputSpec=[new ot({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=lr((e=Qe(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t),e=me(Ze(e),2);var a=n.poolingFunction(Ze(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Object(r.squeeze)(a,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),Wr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"max")},t.className="MaxPooling1D",t}(Ur);r.serialization.registerClass(Wr);var qr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"avg")},t.className="AveragePooling1D",t}(Ur);r.serialization.registerClass(qr);var $r=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new w("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),Q(n.padding),n.inputSpec=[new ot({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=lr(t,this.poolSize[0],this.padding,this.strides[0]),n=lr(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return n.invokeCallHook(e,t),n.poolingFunction(Ze(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),Gr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"max")},t.className="MaxPooling2D",t}($r);r.serialization.registerClass(Gr);var Hr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"avg")},t.className="AveragePooling2D",t}($r);r.serialization.registerClass(Hr);var Kr=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new ot({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new x},t}(ft),Xr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.tidy)(function(){var t=Ze(e);return Object(r.mean)(t,1)})},t.className="GlobalAveragePooling1D",t}(Kr);r.serialization.registerClass(Xr);var Yr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.tidy)(function(){var t=Ze(e);return Object(r.max)(t,1)})},t.className="GlobalMaxPooling1D",t}(Kr);r.serialization.registerClass(Yr);var Jr=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),n.inputSpec=[new ot({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new x},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),Zr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.mean)(t,[1,2]):Object(r.mean)(t,[2,3])})},t.className="GlobalAveragePooling2D",t}(Jr);r.serialization.registerClass(Zr);var Qr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.max)(t,[1,2]):Object(r.max)(t,[2,3])})},t.className="GlobalMaxPooling2D",t}(Jr);function ea(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new w("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function ta(e,t,n,a,i,o,s,u){void 0===a&&(a=!1),void 0===s&&(s=!1),void 0===u&&(u=!1);var l=t.shape.length;if(l<3)throw new w("Input should be at least 3D, but is "+l+"D.");var c,f,p=[1,0].concat(he(2,l));if(t=Object(r.transpose)(t,p),null!=i)throw new x("The rnn() function of the deeplearn.js backend does not support masking yet.");if(null!=o)throw new x("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),a&&(t=Object(r.reverse)(t,0));for(var h=n,d=t.shape[0],m=function(n){var a=ge(t,n,1);a=a.reshape(a.shape.slice(1));var i=Object(r.tidy)(function(){return e(a,h)});if(f=i[0],u)if(0===n)c=f.expandDims(1);else{var o=Object(r.concat)([c,f.expandDims(1)],1);c.dispose(),c=o}h=i[1]},g=0;g<d;++g)m(g);return[f,c,h]}r.serialization.registerClass(Qr);var na=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new w("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(t.cell)?new ca({cells:t.cell}):t.cell).stateSize)throw new w("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new ot({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return i(t,e),t.prototype.getStates=function(){return null==this.states?he(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){Ye(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a=[],i=0,o=t;i<o.length;i++){var s=o[i];a.push([e[0],s])}return[n].concat(a)}return n},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for RNN yet")},t.prototype.build=function(e){if(null!=this.numConstants)throw new x("Constants support is not implemented in RNN yet.");Ye(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new ot({shape:[t,null,n]});var a,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),a=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!r.util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),a))throw new w("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=a.map(function(e){return new ot({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),Object(r.tidy)(function(){if(!n.stateful)throw new v("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=n.inputSpec[0].shape[0];if(null==a)throw new w("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==n.states)Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return Object(r.zeros)([a,e])}):n.states=[Object(r.zeros)([a,n.cell.stateSize])];else if(null==e)Object(r.dispose)(n.states),null!=n.keptStates&&(Object(r.dispose)(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return Object(r.zeros)([a,e])}):n.states[0]=Object(r.zeros)([a,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states.length)throw new w("Layer "+n.name+" expects "+n.states.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===t?n.keptStates.push(n.states.slice()):Object(r.dispose)(n.states);for(var i=0;i<n.states.length;++i){var o=e[i],s=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,u=[a,s];if(!r.util.arraysEqual(o.shape,u))throw new w("State "+i+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+o.shape);n.states[i]=o}}n.states.forEach(function(e){return Object(r.keep)(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=ea(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new ot({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof st){var f=[t].concat(o),p=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=p;var d=e.prototype.apply.call(this,f,n);return this.inputSpec=h,d}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;if(e=Ze(e),null==i&&(i=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new x("Masking is not implemented for RNN yet");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new w("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=ta(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,i,n.goBackwards,null,null,n.unroll,n.returnSequences),l=u[0],c=u[1],f=u[2];n.stateful&&n.resetStates(f,a);var p=n.returnSequences?c:l;return n.returnState?[p].concat(f):p})},t.prototype.getInitialState=function(e){var t=this;return Object(r.tidy)(function(){var n=Object(r.zeros)(e.shape);return n=me(n=Object(r.sum)(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?xe(n,[1,e]):n}):t.cell.stateSize>1?[xe(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className="RNN",t}(ft);r.serialization.registerClass(na);var ra=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t}(ft),aa=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Yn(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=sr(t.kernelRegularizer),n.recurrentRegularizer=sr(t.recurrentRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){e=Qe(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){if(2!==(e=e).length)throw new w("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var a=e[1];e=e[0];var i,o=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=fa(function(){return Object(r.onesLike)(e)},n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=fa(function(){return Object(r.onesLike)(a)},n.recurrentDropout,o));var s=n.dropoutMask,u=n.recurrentDropoutMask;i=Ee(null!=s?Object(r.mul)(e,s):e,n.kernel.read()),null!=n.bias&&(i=Oe(i,n.bias.read())),null!=u&&(a=Object(r.mul)(a,u));var l=Object(r.add)(i,Ee(a,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="SimpleRNNCell",t}(ra);r.serialization.registerClass(aa);var ia=function(e){function t(t){return t.cell=new aa(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.tidy)(function(){null!=a.cell.dropoutMask&&(Object(r.dispose)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.dispose)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className="SimpleRNN",t}(na);r.serialization.registerClass(ia);var oa=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Yn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Yn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=sr(t.kernelRegularizer),n.recurrentRegularizer=sr(t.recurrentRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t=(e=Qe(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){if(2!==(e=e).length)throw new w("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var a=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=fa(function(){return Object(r.onesLike)(e)},n.dropout,a,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=fa(function(){return Object(r.onesLike)(i)},n.recurrentDropout,a,3));var o,s,u,l=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=Object(r.mul)(e,l[0]));var f=Ee(e,n.kernel.read());n.useBias&&(f=Oe(f,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Object(r.mul)(i,c[0]));var p=n.recurrentKernel.read(),h=Object(r.split)(p,[2*n.units,n.units],p.rank-1),d=h[0],m=h[1],g=Ee(i,d),v=Object(r.split)(f,3,f.rank-1),b=v[0],x=v[1],_=v[2],E=Object(r.split)(g,2,g.rank-1),N=E[0],S=E[1];o=n.recurrentActivation.apply(Object(r.add)(b,N)),s=n.recurrentActivation.apply(Object(r.add)(x,S));var O=Ee(Object(r.mul)(s,i),m);u=n.activation.apply(Object(r.add)(_,O));var k=Object(r.add)(Object(r.mul)(o,i),Object(r.mul)(Object(r.add)(y(1),Object(r.neg)(o)),u));return[k,k]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="GRUCell",t}(ra);r.serialization.registerClass(oa);var sa=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new oa(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.tidy)(function(){null!=a.cell.dropoutMask&&(Object(r.dispose)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.dispose)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="GRU",t}(na);r.serialization.registerClass(sa);var ua=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Yn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Yn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=sr(t.kernelRegularizer),n.recurrentRegularizer=sr(t.recurrentRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t,n,r=(e=Qe(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,o=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.apply=function(e,t){var n=a.apply([o]),r=(new Me).apply([o]),i=a.apply([2*o]);return we(we(n,r),i)},t}(Ae)).className="CustomInit",n)}else t=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var a=null!=t.training&&t.training;if(3!==(e=e).length)throw new w("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var i=e[1],o=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=fa(function(){return Object(r.onesLike)(e)},n.dropout,a,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=fa(function(){return Object(r.onesLike)(i)},n.recurrentDropout,a,4));var s,u,l,c,f=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=Object(r.mul)(e,f[0]));var h=Ee(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Object(r.mul)(i,p[0])),h=Object(r.add)(h,Ee(i,n.recurrentKernel.read())),n.useBias&&(h=Oe(h,n.bias.read()));var d=Object(r.split)(h,4,h.rank-1),m=d[0],g=d[1],y=d[2],v=d[3];s=n.recurrentActivation.apply(m),u=n.recurrentActivation.apply(g),l=Object(r.add)(Object(r.mul)(u,o),Object(r.mul)(s,n.activation.apply(y))),c=n.recurrentActivation.apply(v);var b=Object(r.mul)(c,n.activation.apply(l));return[b,b,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="LSTMCell",t}(ra);r.serialization.registerClass(ua);var la=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new ua(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.tidy)(function(){null!=a.cell.dropoutMask&&(Object(r.dispose)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.dispose)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return 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t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="LSTM",t}(na);r.serialization.registerClass(la);var ca=function(e){function t(t){var n=e.call(this,t)||this;return 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c=r.define("DSAPrivateKey",function(){this.seq().obj(this.key("version").int(),this.key("p").int(),this.key("q").int(),this.key("g").int(),this.key("pub_key").int(),this.key("priv_key").int())});t.DSAPrivateKey=c,t.DSAparam=r.define("DSAparam",function(){this.int()});var f=r.define("ECPrivateKey",function(){this.seq().obj(this.key("version").int(),this.key("privateKey").octstr(),this.key("parameters").optional().explicit(0).use(p),this.key("publicKey").optional().explicit(1).bitstr())});t.ECPrivateKey=f;var p=r.define("ECParameters",function(){this.choice({namedCurve:this.objid()})});t.signature=r.define("signature",function(){this.seq().obj(this.key("r").int(),this.key("s").int())})},function(e,t,n){"use strict";var r=n(15),a=n(27).utils,i=a.assert,o=a.cachedProperty,s=a.parseBytes;function u(e,t){this.eddsa=e,"object"!=typeof t&&(t=s(t)),Array.isArray(t)&&(t={R:t.slice(0,e.encodingLength),S:t.slice(e.encodingLength)}),i(t.R&&t.S,"Signature without R or S"),e.isPoint(t.R)&&(this._R=t.R),t.S instanceof r&&(this._S=t.S),this._Rencoded=Array.isArray(t.R)?t.R:t.Rencoded,this._Sencoded=Array.isArray(t.S)?t.S:t.Sencoded}o(u,"S",function(){return this.eddsa.decodeInt(this.Sencoded())}),o(u,"R",function(){return this.eddsa.decodePoint(this.Rencoded())}),o(u,"Rencoded",function(){return this.eddsa.encodePoint(this.R())}),o(u,"Sencoded",function(){return this.eddsa.encodeInt(this.S())}),u.prototype.toBytes=function(){return this.Rencoded().concat(this.Sencoded())},u.prototype.toHex=function(){return a.encode(this.toBytes(),"hex").toUpperCase()},e.exports=u},function(e,t,n){"use strict";var r=n(27).utils,a=r.assert,i=r.parseBytes,o=r.cachedProperty;function s(e,t){this.eddsa=e,this._secret=i(t.secret),e.isPoint(t.pub)?this._pub=t.pub:this._pubBytes=i(t.pub)}s.fromPublic=function(e,t){return t instanceof s?t:new s(e,{pub:t})},s.fromSecret=function(e,t){return t instanceof s?t:new s(e,{secret:t})},s.prototype.secret=function(){return this._secret},o(s,"pubBytes",function(){return this.eddsa.encodePoint(this.pub())}),o(s,"pub",function(){return this._pubBytes?this.eddsa.decodePoint(this._pubBytes):this.eddsa.g.mul(this.priv())}),o(s,"privBytes",function(){var e=this.eddsa,t=this.hash(),n=e.encodingLength-1,r=t.slice(0,e.encodingLength);return r[0]&=248,r[n]&=127,r[n]|=64,r}),o(s,"priv",function(){return this.eddsa.decodeInt(this.privBytes())}),o(s,"hash",function(){return this.eddsa.hash().update(this.secret()).digest()}),o(s,"messagePrefix",function(){return this.hash().slice(this.eddsa.encodingLength)}),s.prototype.sign=function(e){return a(this._secret,"KeyPair can only verify"),this.eddsa.sign(e,this)},s.prototype.verify=function(e,t){return this.eddsa.verify(e,t,this)},s.prototype.getSecret=function(e){return a(this._secret,"KeyPair is public only"),r.encode(this.secret(),e)},s.prototype.getPublic=function(e){return r.encode(this.pubBytes(),e)},e.exports=s},function(e,t,n){"use strict";var r=n(148),a=n(27),i=a.utils,o=i.assert,s=i.parseBytes,u=n(407),l=n(406);function c(e){if(o("ed25519"===e,"only tested with ed25519 so far"),!(this instanceof c))return new c(e);e=a.curves[e].curve,this.curve=e,this.g=e.g,this.g.precompute(e.n.bitLength()+1),this.pointClass=e.point().constructor,this.encodingLength=Math.ceil(e.n.bitLength()/8),this.hash=r.sha512}e.exports=c,c.prototype.sign=function(e,t){e=s(e);var n=this.keyFromSecret(t),r=this.hashInt(n.messagePrefix(),e),a=this.g.mul(r),i=this.encodePoint(a),o=this.hashInt(i,n.pubBytes(),e).mul(n.priv()),u=r.add(o).umod(this.curve.n);return this.makeSignature({R:a,S:u,Rencoded:i})},c.prototype.verify=function(e,t,n){e=s(e),t=this.makeSignature(t);var r=this.keyFromPublic(n),a=this.hashInt(t.Rencoded(),r.pubBytes(),e),i=this.g.mul(t.S());return t.R().add(r.pub().mul(a)).eq(i)},c.prototype.hashInt=function(){for(var e=this.hash(),t=0;t<arguments.length;t++)e.update(arguments[t]);return i.intFromLE(e.digest()).umod(this.curve.n)},c.prototype.keyFromPublic=function(e){return u.fromPublic(this,e)},c.prototype.keyFromSecret=function(e){return u.fromSecret(this,e)},c.prototype.makeSignature=function(e){return e instanceof l?e:new l(this,e)},c.prototype.encodePoint=function(e){var t=e.getY().toArray("le",this.encodingLength);return t[this.encodingLength-1]|=e.getX().isOdd()?128:0,t},c.prototype.decodePoint=function(e){var t=(e=i.parseBytes(e)).length-1,n=e.slice(0,t).concat(-129&e[t]),r=0!=(128&e[t]),a=i.intFromLE(n);return this.curve.pointFromY(a,r)},c.prototype.encodeInt=function(e){return e.toArray("le",this.encodingLength)},c.prototype.decodeInt=function(e){return i.intFromLE(e)},c.prototype.isPoint=function(e){return e instanceof this.pointClass}},function(e,t,n){"use strict";var r=n(15),a=n(27).utils,i=a.assert;function o(e,t){if(e instanceof o)return e;this._importDER(e,t)||(i(e.r&&e.s,"Signature without r or s"),this.r=new r(e.r,16),this.s=new r(e.s,16),void 0===e.recoveryParam?this.recoveryParam=null:this.recoveryParam=e.recoveryParam)}function s(e,t){var n=e[t.place++];if(!(128&n))return n;for(var r=15&n,a=0,i=0,o=t.place;i<r;i++,o++)a<<=8,a|=e[o];return t.place=o,a}function u(e){for(var t=0,n=e.length-1;!e[t]&&!(128&e[t+1])&&t<n;)t++;return 0===t?e:e.slice(t)}function l(e,t){if(t<128)e.push(t);else{var n=1+(Math.log(t)/Math.LN2>>>3);for(e.push(128|n);--n;)e.push(t>>>(n<<3)&255);e.push(t)}}e.exports=o,o.prototype._importDER=function(e,t){e=a.toArray(e,t);var n=new function(){this.place=0};if(48!==e[n.place++])return!1;if(s(e,n)+n.place!==e.length)return!1;if(2!==e[n.place++])return!1;var i=s(e,n),o=e.slice(n.place,i+n.place);if(n.place+=i,2!==e[n.place++])return!1;var u=s(e,n);if(e.length!==u+n.place)return!1;var l=e.slice(n.place,u+n.place);return 0===o[0]&&128&o[1]&&(o=o.slice(1)),0===l[0]&&128&l[1]&&(l=l.slice(1)),this.r=new r(o),this.s=new r(l),this.recoveryParam=null,!0},o.prototype.toDER=function(e){var t=this.r.toArray(),n=this.s.toArray();for(128&t[0]&&(t=[0].concat(t)),128&n[0]&&(n=[0].concat(n)),t=u(t),n=u(n);!(n[0]||128&n[1]);)n=n.slice(1);var r=[2];l(r,t.length),(r=r.concat(t)).push(2),l(r,n.length);var i=r.concat(n),o=[48];return l(o,i.length),o=o.concat(i),a.encode(o,e)}},function(e,t,n){"use strict";var r=n(15),a=n(27).utils.assert;function i(e,t){this.ec=e,this.priv=null,this.pub=null,t.priv&&this._importPrivate(t.priv,t.privEnc),t.pub&&this._importPublic(t.pub,t.pubEnc)}e.exports=i,i.fromPublic=function(e,t,n){return t instanceof i?t:new i(e,{pub:t,pubEnc:n})},i.fromPrivate=function(e,t,n){return t instanceof i?t:new i(e,{priv:t,privEnc:n})},i.prototype.validate=function(){var e=this.getPublic();return e.isInfinity()?{result:!1,reason:"Invalid public key"}:e.validate()?e.mul(this.ec.curve.n).isInfinity()?{result:!0,reason:null}:{result:!1,reason:"Public key * N != O"}:{result:!1,reason:"Public key is not a point"}},i.prototype.getPublic=function(e,t){return"string"==typeof e&&(t=e,e=null),this.pub||(this.pub=this.ec.g.mul(this.priv)),t?this.pub.encode(t,e):this.pub},i.prototype.getPrivate=function(e){return"hex"===e?this.priv.toString(16,2):this.priv},i.prototype._importPrivate=function(e,t){this.priv=new r(e,t||16),this.priv=this.priv.umod(this.ec.curve.n)},i.prototype._importPublic=function(e,t){if(e.x||e.y)return"mont"===this.ec.curve.type?a(e.x,"Need x coordinate"):"short"!==this.ec.curve.type&&"edwards"!==this.ec.curve.type||a(e.x&&e.y,"Need both x and y coordinate"),void(this.pub=this.ec.curve.point(e.x,e.y));this.pub=this.ec.curve.decodePoint(e,t)},i.prototype.derive=function(e){return e.mul(this.priv).getX()},i.prototype.sign=function(e,t,n){return this.ec.sign(e,this,t,n)},i.prototype.verify=function(e,t){return this.ec.verify(e,t,this)},i.prototype.inspect=function(){return"<Key priv: "+(this.priv&&this.priv.toString(16,2))+" pub: "+(this.pub&&this.pub.inspect())+" >"}},function(e,t,n){"use strict";var r=n(148),a=n(230),i=n(31);function o(e){if(!(this instanceof o))return new o(e);this.hash=e.hash,this.predResist=!!e.predResist,this.outLen=this.hash.outSize,this.minEntropy=e.minEntropy||this.hash.hmacStrength,this._reseed=null,this.reseedInterval=null,this.K=null,this.V=null;var t=a.toArray(e.entropy,e.entropyEnc||"hex"),n=a.toArray(e.nonce,e.nonceEnc||"hex"),r=a.toArray(e.pers,e.persEnc||"hex");i(t.length>=this.minEntropy/8,"Not enough entropy. Minimum is: "+this.minEntropy+" bits"),this._init(t,n,r)}e.exports=o,o.prototype._init=function(e,t,n){var r=e.concat(t).concat(n);this.K=new Array(this.outLen/8),this.V=new Array(this.outLen/8);for(var a=0;a<this.V.length;a++)this.K[a]=0,this.V[a]=1;this._update(r),this._reseed=1,this.reseedInterval=281474976710656},o.prototype._hmac=function(){return new r.hmac(this.hash,this.K)},o.prototype._update=function(e){var t=this._hmac().update(this.V).update([0]);e&&(t=t.update(e)),this.K=t.digest(),this.V=this._hmac().update(this.V).digest(),e&&(this.K=this._hmac().update(this.V).update([1]).update(e).digest(),this.V=this._hmac().update(this.V).digest())},o.prototype.reseed=function(e,t,n,r){"string"!=typeof t&&(r=n,n=t,t=null),e=a.toArray(e,t),n=a.toArray(n,r),i(e.length>=this.minEntropy/8,"Not enough entropy. Minimum is: "+this.minEntropy+" bits"),this._update(e.concat(n||[])),this._reseed=1},o.prototype.generate=function(e,t,n,r){if(this._reseed>this.reseedInterval)throw new Error("Reseed is required");"string"!=typeof t&&(r=n,n=t,t=null),n&&(n=a.toArray(n,r||"hex"),this._update(n));for(var i=[];i.length<e;)this.V=this._hmac().update(this.V).digest(),i=i.concat(this.V);var o=i.slice(0,e);return this._update(n),this._reseed++,a.encode(o,t)}},function(e,t,n){"use strict";var r=n(15),a=n(411),i=n(27),o=i.utils.assert,s=n(410),u=n(409);function l(e){if(!(this instanceof l))return new l(e);"string"==typeof e&&(o(i.curves.hasOwnProperty(e),"Unknown curve "+e),e=i.curves[e]),e instanceof i.curves.PresetCurve&&(e={curve:e}),this.curve=e.curve.curve,this.n=this.curve.n,this.nh=this.n.ushrn(1),this.g=this.curve.g,this.g=e.curve.g,this.g.precompute(e.curve.n.bitLength()+1),this.hash=e.hash||e.curve.hash}e.exports=l,l.prototype.keyPair=function(e){return new s(this,e)},l.prototype.keyFromPrivate=function(e,t){return s.fromPrivate(this,e,t)},l.prototype.keyFromPublic=function(e,t){return s.fromPublic(this,e,t)},l.prototype.genKeyPair=function(e){e||(e={});for(var t=new a({hash:this.hash,pers:e.pers,persEnc:e.persEnc||"utf8",entropy:e.entropy||i.rand(this.hash.hmacStrength),entropyEnc:e.entropy&&e.entropyEnc||"utf8",nonce:this.n.toArray()}),n=this.n.byteLength(),o=this.n.sub(new r(2));;){var s=new r(t.generate(n));if(!(s.cmp(o)>0))return s.iaddn(1),this.keyFromPrivate(s)}},l.prototype._truncateToN=function(e,t){var n=8*e.byteLength()-this.n.bitLength();return n>0&&(e=e.ushrn(n)),!t&&e.cmp(this.n)>=0?e.sub(this.n):e},l.prototype.sign=function(e,t,n,i){"object"==typeof n&&(i=n,n=null),i||(i={}),t=this.keyFromPrivate(t,n),e=this._truncateToN(new r(e,16));for(var o=this.n.byteLength(),s=t.getPrivate().toArray("be",o),l=e.toArray("be",o),c=new a({hash:this.hash,entropy:s,nonce:l,pers:i.pers,persEnc:i.persEnc||"utf8"}),f=this.n.sub(new r(1)),p=0;;p++){var h=i.k?i.k(p):new r(c.generate(this.n.byteLength()));if(!((h=this._truncateToN(h,!0)).cmpn(1)<=0||h.cmp(f)>=0)){var d=this.g.mul(h);if(!d.isInfinity()){var m=d.getX(),g=m.umod(this.n);if(0!==g.cmpn(0)){var y=h.invm(this.n).mul(g.mul(t.getPrivate()).iadd(e));if(0!==(y=y.umod(this.n)).cmpn(0)){var v=(d.getY().isOdd()?1:0)|(0!==m.cmp(g)?2:0);return i.canonical&&y.cmp(this.nh)>0&&(y=this.n.sub(y),v^=1),new u({r:g,s:y,recoveryParam:v})}}}}}},l.prototype.verify=function(e,t,n,a){e=this._truncateToN(new r(e,16)),n=this.keyFromPublic(n,a);var i=(t=new u(t,"hex")).r,o=t.s;if(i.cmpn(1)<0||i.cmp(this.n)>=0)return!1;if(o.cmpn(1)<0||o.cmp(this.n)>=0)return!1;var s,l=o.invm(this.n),c=l.mul(e).umod(this.n),f=l.mul(i).umod(this.n);return this.curve._maxwellTrick?!(s=this.g.jmulAdd(c,n.getPublic(),f)).isInfinity()&&s.eqXToP(i):!(s=this.g.mulAdd(c,n.getPublic(),f)).isInfinity()&&0===s.getX().umod(this.n).cmp(i)},l.prototype.recoverPubKey=function(e,t,n,a){o((3&n)===n,"The recovery param is more than two bits"),t=new u(t,a);var i=this.n,s=new r(e),l=t.r,c=t.s,f=1&n,p=n>>1;if(l.cmp(this.curve.p.umod(this.curve.n))>=0&&p)throw new Error("Unable to find sencond key candinate");l=p?this.curve.pointFromX(l.add(this.curve.n),f):this.curve.pointFromX(l,f);var h=t.r.invm(i),d=i.sub(s).mul(h).umod(i),m=c.mul(h).umod(i);return this.g.mulAdd(d,l,m)},l.prototype.getKeyRecoveryParam=function(e,t,n,r){if(null!==(t=new u(t,r)).recoveryParam)return t.recoveryParam;for(var a=0;a<4;a++){var i;try{i=this.recoverPubKey(e,t,a)}catch(e){continue}if(i.eq(n))return a}throw new Error("Unable to find valid recovery 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r=n(45),a=n(93),i=n(229),o=r.rotl32,s=r.sum32,u=r.sum32_5,l=i.ft_1,c=a.BlockHash,f=[1518500249,1859775393,2400959708,3395469782];function p(){if(!(this instanceof p))return new p;c.call(this),this.h=[1732584193,4023233417,2562383102,271733878,3285377520],this.W=new Array(80)}r.inherits(p,c),e.exports=p,p.blockSize=512,p.outSize=160,p.hmacStrength=80,p.padLength=64,p.prototype._update=function(e,t){for(var n=this.W,r=0;r<16;r++)n[r]=e[t+r];for(;r<n.length;r++)n[r]=o(n[r-3]^n[r-8]^n[r-14]^n[r-16],1);var a=this.h[0],i=this.h[1],c=this.h[2],p=this.h[3],h=this.h[4];for(r=0;r<n.length;r++){var d=~~(r/20),m=u(o(a,5),l(d,i,c,p),h,n[r],f[d]);h=p,p=c,c=o(i,30),i=a,a=m}this.h[0]=s(this.h[0],a),this.h[1]=s(this.h[1],i),this.h[2]=s(this.h[2],c),this.h[3]=s(this.h[3],p),this.h[4]=s(this.h[4],h)},p.prototype._digest=function(e){return"hex"===e?r.toHex32(this.h,"big"):r.split32(this.h,"big")}},function(e,t,n){"use 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c(e,t,n,r,a){s.BasePoint.call(this,e,"projective"),null===t&&null===n&&null===r?(this.x=this.curve.zero,this.y=this.curve.one,this.z=this.curve.one,this.t=this.curve.zero,this.zOne=!0):(this.x=new i(t,16),this.y=new i(n,16),this.z=r?new i(r,16):this.curve.one,this.t=a&&new i(a,16),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)),this.t&&!this.t.red&&(this.t=this.t.toRed(this.curve.red)),this.zOne=this.z===this.curve.one,this.curve.extended&&!this.t&&(this.t=this.x.redMul(this.y),this.zOne||(this.t=this.t.redMul(this.z.redInvm()))))}o(l,s),e.exports=l,l.prototype._mulA=function(e){return this.mOneA?e.redNeg():this.a.redMul(e)},l.prototype._mulC=function(e){return this.oneC?e:this.c.redMul(e)},l.prototype.jpoint=function(e,t,n,r){return this.point(e,t,n,r)},l.prototype.pointFromX=function(e,t){(e=new i(e,16)).red||(e=e.toRed(this.red));var n=e.redSqr(),r=this.c2.redSub(this.a.redMul(n)),a=this.one.redSub(this.c2.redMul(this.d).redMul(n)),o=r.redMul(a.redInvm()),s=o.redSqrt();if(0!==s.redSqr().redSub(o).cmp(this.zero))throw new Error("invalid point");var u=s.fromRed().isOdd();return(t&&!u||!t&&u)&&(s=s.redNeg()),this.point(e,s)},l.prototype.pointFromY=function(e,t){(e=new i(e,16)).red||(e=e.toRed(this.red));var n=e.redSqr(),r=n.redSub(this.c2),a=n.redMul(this.d).redMul(this.c2).redSub(this.a),o=r.redMul(a.redInvm());if(0===o.cmp(this.zero)){if(t)throw new Error("invalid point");return this.point(this.zero,e)}var s=o.redSqrt();if(0!==s.redSqr().redSub(o).cmp(this.zero))throw new Error("invalid point");return s.fromRed().isOdd()!==t&&(s=s.redNeg()),this.point(s,e)},l.prototype.validate=function(e){if(e.isInfinity())return!0;e.normalize();var t=e.x.redSqr(),n=e.y.redSqr(),r=t.redMul(this.a).redAdd(n),a=this.c2.redMul(this.one.redAdd(this.d.redMul(t).redMul(n)));return 0===r.cmp(a)},o(c,s.BasePoint),l.prototype.pointFromJSON=function(e){return c.fromJSON(this,e)},l.prototype.point=function(e,t,n,r){return new c(this,e,t,n,r)},c.fromJSON=function(e,t){return new c(e,t[0],t[1],t[2])},c.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" y: "+this.y.fromRed().toString(16,2)+" z: "+this.z.fromRed().toString(16,2)+">"},c.prototype.isInfinity=function(){return 0===this.x.cmpn(0)&&(0===this.y.cmp(this.z)||this.zOne&&0===this.y.cmp(this.curve.c))},c.prototype._extDbl=function(){var e=this.x.redSqr(),t=this.y.redSqr(),n=this.z.redSqr();n=n.redIAdd(n);var r=this.curve._mulA(e),a=this.x.redAdd(this.y).redSqr().redISub(e).redISub(t),i=r.redAdd(t),o=i.redSub(n),s=r.redSub(t),u=a.redMul(o),l=i.redMul(s),c=a.redMul(s),f=o.redMul(i);return this.curve.point(u,l,f,c)},c.prototype._projDbl=function(){var e,t,n,r=this.x.redAdd(this.y).redSqr(),a=this.x.redSqr(),i=this.y.redSqr();if(this.curve.twisted){var o=(l=this.curve._mulA(a)).redAdd(i);if(this.zOne)e=r.redSub(a).redSub(i).redMul(o.redSub(this.curve.two)),t=o.redMul(l.redSub(i)),n=o.redSqr().redSub(o).redSub(o);else{var s=this.z.redSqr(),u=o.redSub(s).redISub(s);e=r.redSub(a).redISub(i).redMul(u),t=o.redMul(l.redSub(i)),n=o.redMul(u)}}else{var l=a.redAdd(i);s=this.curve._mulC(this.z).redSqr(),u=l.redSub(s).redSub(s),e=this.curve._mulC(r.redISub(l)).redMul(u),t=this.curve._mulC(l).redMul(a.redISub(i)),n=l.redMul(u)}return this.curve.point(e,t,n)},c.prototype.dbl=function(){return this.isInfinity()?this:this.curve.extended?this._extDbl():this._projDbl()},c.prototype._extAdd=function(e){var t=this.y.redSub(this.x).redMul(e.y.redSub(e.x)),n=this.y.redAdd(this.x).redMul(e.y.redAdd(e.x)),r=this.t.redMul(this.curve.dd).redMul(e.t),a=this.z.redMul(e.z.redAdd(e.z)),i=n.redSub(t),o=a.redSub(r),s=a.redAdd(r),u=n.redAdd(t),l=i.redMul(o),c=s.redMul(u),f=i.redMul(u),p=o.redMul(s);return this.curve.point(l,c,p,f)},c.prototype._projAdd=function(e){var t,n,r=this.z.redMul(e.z),a=r.redSqr(),i=this.x.redMul(e.x),o=this.y.redMul(e.y),s=this.curve.d.redMul(i).redMul(o),u=a.redSub(s),l=a.redAdd(s),c=this.x.redAdd(this.y).redMul(e.x.redAdd(e.y)).redISub(i).redISub(o),f=r.redMul(u).redMul(c);return this.curve.twisted?(t=r.redMul(l).redMul(o.redSub(this.curve._mulA(i))),n=u.redMul(l)):(t=r.redMul(l).redMul(o.redSub(i)),n=this.curve._mulC(u).redMul(l)),this.curve.point(f,t,n)},c.prototype.add=function(e){return this.isInfinity()?e:e.isInfinity()?this:this.curve.extended?this._extAdd(e):this._projAdd(e)},c.prototype.mul=function(e){return this._hasDoubles(e)?this.curve._fixedNafMul(this,e):this.curve._wnafMul(this,e)},c.prototype.mulAdd=function(e,t,n){return this.curve._wnafMulAdd(1,[this,t],[e,n],2,!1)},c.prototype.jmulAdd=function(e,t,n){return this.curve._wnafMulAdd(1,[this,t],[e,n],2,!0)},c.prototype.normalize=function(){if(this.zOne)return this;var e=this.z.redInvm();return this.x=this.x.redMul(e),this.y=this.y.redMul(e),this.t&&(this.t=this.t.redMul(e)),this.z=this.curve.one,this.zOne=!0,this},c.prototype.neg=function(){return this.curve.point(this.x.redNeg(),this.y,this.z,this.t&&this.t.redNeg())},c.prototype.getX=function(){return this.normalize(),this.x.fromRed()},c.prototype.getY=function(){return this.normalize(),this.y.fromRed()},c.prototype.eq=function(e){return this===e||0===this.getX().cmp(e.getX())&&0===this.getY().cmp(e.getY())},c.prototype.eqXToP=function(e){var t=e.toRed(this.curve.red).redMul(this.z);if(0===this.x.cmp(t))return!0;for(var n=e.clone(),r=this.curve.redN.redMul(this.z);;){if(n.iadd(this.curve.n),n.cmp(this.curve.p)>=0)return!1;if(t.redIAdd(r),0===this.x.cmp(t))return!0}},c.prototype.toP=c.prototype.normalize,c.prototype.mixedAdd=c.prototype.add},function(e,t,n){"use strict";var r=n(110),a=n(15),i=n(5),o=r.base,s=n(27).utils;function u(e){o.call(this,"mont",e),this.a=new a(e.a,16).toRed(this.red),this.b=new a(e.b,16).toRed(this.red),this.i4=new a(4).toRed(this.red).redInvm(),this.two=new a(2).toRed(this.red),this.a24=this.i4.redMul(this.a.redAdd(this.two))}function l(e,t,n){o.BasePoint.call(this,e,"projective"),null===t&&null===n?(this.x=this.curve.one,this.z=this.curve.zero):(this.x=new a(t,16),this.z=new a(n,16),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)))}i(u,o),e.exports=u,u.prototype.validate=function(e){var t=e.normalize().x,n=t.redSqr(),r=n.redMul(t).redAdd(n.redMul(this.a)).redAdd(t);return 0===r.redSqrt().redSqr().cmp(r)},i(l,o.BasePoint),u.prototype.decodePoint=function(e,t){return this.point(s.toArray(e,t),1)},u.prototype.point=function(e,t){return new l(this,e,t)},u.prototype.pointFromJSON=function(e){return l.fromJSON(this,e)},l.prototype.precompute=function(){},l.prototype._encode=function(){return this.getX().toArray("be",this.curve.p.byteLength())},l.fromJSON=function(e,t){return new l(e,t[0],t[1]||e.one)},l.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" z: "+this.z.fromRed().toString(16,2)+">"},l.prototype.isInfinity=function(){return 0===this.z.cmpn(0)},l.prototype.dbl=function(){var e=this.x.redAdd(this.z).redSqr(),t=this.x.redSub(this.z).redSqr(),n=e.redSub(t),r=e.redMul(t),a=n.redMul(t.redAdd(this.curve.a24.redMul(n)));return this.curve.point(r,a)},l.prototype.add=function(){throw new Error("Not supported on Montgomery curve")},l.prototype.diffAdd=function(e,t){var n=this.x.redAdd(this.z),r=this.x.redSub(this.z),a=e.x.redAdd(e.z),i=e.x.redSub(e.z).redMul(n),o=a.redMul(r),s=t.z.redMul(i.redAdd(o).redSqr()),u=t.x.redMul(i.redISub(o).redSqr());return this.curve.point(s,u)},l.prototype.mul=function(e){for(var t=e.clone(),n=this,r=this.curve.point(null,null),a=[];0!==t.cmpn(0);t.iushrn(1))a.push(t.andln(1));for(var i=a.length-1;i>=0;i--)0===a[i]?(n=n.diffAdd(r,this),r=r.dbl()):(r=n.diffAdd(r,this),n=n.dbl());return r},l.prototype.mulAdd=function(){throw new Error("Not supported on Montgomery curve")},l.prototype.jumlAdd=function(){throw new Error("Not supported on Montgomery curve")},l.prototype.eq=function(e){return 0===this.getX().cmp(e.getX())},l.prototype.normalize=function(){return this.x=this.x.redMul(this.z.redInvm()),this.z=this.curve.one,this},l.prototype.getX=function(){return this.normalize(),this.x.fromRed()}},function(e,t,n){"use strict";var r=n(110),a=n(27),i=n(15),o=n(5),s=r.base,u=a.utils.assert;function l(e){s.call(this,"short",e),this.a=new i(e.a,16).toRed(this.red),this.b=new i(e.b,16).toRed(this.red),this.tinv=this.two.redInvm(),this.zeroA=0===this.a.fromRed().cmpn(0),this.threeA=0===this.a.fromRed().sub(this.p).cmpn(-3),this.endo=this._getEndomorphism(e),this._endoWnafT1=new Array(4),this._endoWnafT2=new Array(4)}function c(e,t,n,r){s.BasePoint.call(this,e,"affine"),null===t&&null===n?(this.x=null,this.y=null,this.inf=!0):(this.x=new i(t,16),this.y=new i(n,16),r&&(this.x.forceRed(this.curve.red),this.y.forceRed(this.curve.red)),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.inf=!1)}function f(e,t,n,r){s.BasePoint.call(this,e,"jacobian"),null===t&&null===n&&null===r?(this.x=this.curve.one,this.y=this.curve.one,this.z=new i(0)):(this.x=new i(t,16),this.y=new i(n,16),this.z=new i(r,16)),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)),this.zOne=this.z===this.curve.one}o(l,s),e.exports=l,l.prototype._getEndomorphism=function(e){if(this.zeroA&&this.g&&this.n&&1===this.p.modn(3)){var t,n;if(e.beta)t=new i(e.beta,16).toRed(this.red);else{var r=this._getEndoRoots(this.p);t=(t=r[0].cmp(r[1])<0?r[0]:r[1]).toRed(this.red)}if(e.lambda)n=new i(e.lambda,16);else{var a=this._getEndoRoots(this.n);0===this.g.mul(a[0]).x.cmp(this.g.x.redMul(t))?n=a[0]:(n=a[1],u(0===this.g.mul(n).x.cmp(this.g.x.redMul(t))))}return{beta:t,lambda:n,basis:e.basis?e.basis.map(function(e){return{a:new i(e.a,16),b:new i(e.b,16)}}):this._getEndoBasis(n)}}},l.prototype._getEndoRoots=function(e){var t=e===this.p?this.red:i.mont(e),n=new i(2).toRed(t).redInvm(),r=n.redNeg(),a=new i(3).toRed(t).redNeg().redSqrt().redMul(n);return[r.redAdd(a).fromRed(),r.redSub(a).fromRed()]},l.prototype._getEndoBasis=function(e){for(var t,n,r,a,o,s,u,l,c,f=this.n.ushrn(Math.floor(this.n.bitLength()/2)),p=e,h=this.n.clone(),d=new i(1),m=new i(0),g=new i(0),y=new i(1),v=0;0!==p.cmpn(0);){var b=h.div(p);l=h.sub(b.mul(p)),c=g.sub(b.mul(d));var w=y.sub(b.mul(m));if(!r&&l.cmp(f)<0)t=u.neg(),n=d,r=l.neg(),a=c;else if(r&&2==++v)break;u=l,h=p,p=l,g=d,d=c,y=m,m=w}o=l.neg(),s=c;var x=r.sqr().add(a.sqr());return o.sqr().add(s.sqr()).cmp(x)>=0&&(o=t,s=n),r.negative&&(r=r.neg(),a=a.neg()),o.negative&&(o=o.neg(),s=s.neg()),[{a:r,b:a},{a:o,b:s}]},l.prototype._endoSplit=function(e){var t=this.endo.basis,n=t[0],r=t[1],a=r.b.mul(e).divRound(this.n),i=n.b.neg().mul(e).divRound(this.n),o=a.mul(n.a),s=i.mul(r.a),u=a.mul(n.b),l=i.mul(r.b);return{k1:e.sub(o).sub(s),k2:u.add(l).neg()}},l.prototype.pointFromX=function(e,t){(e=new i(e,16)).red||(e=e.toRed(this.red));var n=e.redSqr().redMul(e).redIAdd(e.redMul(this.a)).redIAdd(this.b),r=n.redSqrt();if(0!==r.redSqr().redSub(n).cmp(this.zero))throw new Error("invalid point");var a=r.fromRed().isOdd();return(t&&!a||!t&&a)&&(r=r.redNeg()),this.point(e,r)},l.prototype.validate=function(e){if(e.inf)return!0;var t=e.x,n=e.y,r=this.a.redMul(t),a=t.redSqr().redMul(t).redIAdd(r).redIAdd(this.b);return 0===n.redSqr().redISub(a).cmpn(0)},l.prototype._endoWnafMulAdd=function(e,t,n){for(var r=this._endoWnafT1,a=this._endoWnafT2,i=0;i<e.length;i++){var o=this._endoSplit(t[i]),s=e[i],u=s._getBeta();o.k1.negative&&(o.k1.ineg(),s=s.neg(!0)),o.k2.negative&&(o.k2.ineg(),u=u.neg(!0)),r[2*i]=s,r[2*i+1]=u,a[2*i]=o.k1,a[2*i+1]=o.k2}for(var l=this._wnafMulAdd(1,r,a,2*i,n),c=0;c<2*i;c++)r[c]=null,a[c]=null;return l},o(c,s.BasePoint),l.prototype.point=function(e,t,n){return new c(this,e,t,n)},l.prototype.pointFromJSON=function(e,t){return c.fromJSON(this,e,t)},c.prototype._getBeta=function(){if(this.curve.endo){var e=this.precomputed;if(e&&e.beta)return e.beta;var t=this.curve.point(this.x.redMul(this.curve.endo.beta),this.y);if(e){var n=this.curve,r=function(e){return n.point(e.x.redMul(n.endo.beta),e.y)};e.beta=t,t.precomputed={beta:null,naf:e.naf&&{wnd:e.naf.wnd,points:e.naf.points.map(r)},doubles:e.doubles&&{step:e.doubles.step,points:e.doubles.points.map(r)}}}return t}},c.prototype.toJSON=function(){return this.precomputed?[this.x,this.y,this.precomputed&&{doubles:this.precomputed.doubles&&{step:this.precomputed.doubles.step,points:this.precomputed.doubles.points.slice(1)},naf:this.precomputed.naf&&{wnd:this.precomputed.naf.wnd,points:this.precomputed.naf.points.slice(1)}}]:[this.x,this.y]},c.fromJSON=function(e,t,n){"string"==typeof t&&(t=JSON.parse(t));var r=e.point(t[0],t[1],n);if(!t[2])return r;function a(t){return e.point(t[0],t[1],n)}var i=t[2];return r.precomputed={beta:null,doubles:i.doubles&&{step:i.doubles.step,points:[r].concat(i.doubles.points.map(a))},naf:i.naf&&{wnd:i.naf.wnd,points:[r].concat(i.naf.points.map(a))}},r},c.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" y: "+this.y.fromRed().toString(16,2)+">"},c.prototype.isInfinity=function(){return this.inf},c.prototype.add=function(e){if(this.inf)return e;if(e.inf)return this;if(this.eq(e))return this.dbl();if(this.neg().eq(e))return this.curve.point(null,null);if(0===this.x.cmp(e.x))return this.curve.point(null,null);var t=this.y.redSub(e.y);0!==t.cmpn(0)&&(t=t.redMul(this.x.redSub(e.x).redInvm()));var n=t.redSqr().redISub(this.x).redISub(e.x),r=t.redMul(this.x.redSub(n)).redISub(this.y);return this.curve.point(n,r)},c.prototype.dbl=function(){if(this.inf)return this;var e=this.y.redAdd(this.y);if(0===e.cmpn(0))return this.curve.point(null,null);var t=this.curve.a,n=this.x.redSqr(),r=e.redInvm(),a=n.redAdd(n).redIAdd(n).redIAdd(t).redMul(r),i=a.redSqr().redISub(this.x.redAdd(this.x)),o=a.redMul(this.x.redSub(i)).redISub(this.y);return this.curve.point(i,o)},c.prototype.getX=function(){return this.x.fromRed()},c.prototype.getY=function(){return this.y.fromRed()},c.prototype.mul=function(e){return e=new i(e,16),this._hasDoubles(e)?this.curve._fixedNafMul(this,e):this.curve.endo?this.curve._endoWnafMulAdd([this],[e]):this.curve._wnafMul(this,e)},c.prototype.mulAdd=function(e,t,n){var r=[this,t],a=[e,n];return this.curve.endo?this.curve._endoWnafMulAdd(r,a):this.curve._wnafMulAdd(1,r,a,2)},c.prototype.jmulAdd=function(e,t,n){var r=[this,t],a=[e,n];return this.curve.endo?this.curve._endoWnafMulAdd(r,a,!0):this.curve._wnafMulAdd(1,r,a,2,!0)},c.prototype.eq=function(e){return this===e||this.inf===e.inf&&(this.inf||0===this.x.cmp(e.x)&&0===this.y.cmp(e.y))},c.prototype.neg=function(e){if(this.inf)return this;var t=this.curve.point(this.x,this.y.redNeg());if(e&&this.precomputed){var n=this.precomputed,r=function(e){return e.neg()};t.precomputed={naf:n.naf&&{wnd:n.naf.wnd,points:n.naf.points.map(r)},doubles:n.doubles&&{step:n.doubles.step,points:n.doubles.points.map(r)}}}return t},c.prototype.toJ=function(){return this.inf?this.curve.jpoint(null,null,null):this.curve.jpoint(this.x,this.y,this.curve.one)},o(f,s.BasePoint),l.prototype.jpoint=function(e,t,n){return new f(this,e,t,n)},f.prototype.toP=function(){if(this.isInfinity())return this.curve.point(null,null);var e=this.z.redInvm(),t=e.redSqr(),n=this.x.redMul(t),r=this.y.redMul(t).redMul(e);return this.curve.point(n,r)},f.prototype.neg=function(){return this.curve.jpoint(this.x,this.y.redNeg(),this.z)},f.prototype.add=function(e){if(this.isInfinity())return e;if(e.isInfinity())return this;var t=e.z.redSqr(),n=this.z.redSqr(),r=this.x.redMul(t),a=e.x.redMul(n),i=this.y.redMul(t.redMul(e.z)),o=e.y.redMul(n.redMul(this.z)),s=r.redSub(a),u=i.redSub(o);if(0===s.cmpn(0))return 0!==u.cmpn(0)?this.curve.jpoint(null,null,null):this.dbl();var l=s.redSqr(),c=l.redMul(s),f=r.redMul(l),p=u.redSqr().redIAdd(c).redISub(f).redISub(f),h=u.redMul(f.redISub(p)).redISub(i.redMul(c)),d=this.z.redMul(e.z).redMul(s);return this.curve.jpoint(p,h,d)},f.prototype.mixedAdd=function(e){if(this.isInfinity())return e.toJ();if(e.isInfinity())return this;var t=this.z.redSqr(),n=this.x,r=e.x.redMul(t),a=this.y,i=e.y.redMul(t).redMul(this.z),o=n.redSub(r),s=a.redSub(i);if(0===o.cmpn(0))return 0!==s.cmpn(0)?this.curve.jpoint(null,null,null):this.dbl();var u=o.redSqr(),l=u.redMul(o),c=n.redMul(u),f=s.redSqr().redIAdd(l).redISub(c).redISub(c),p=s.redMul(c.redISub(f)).redISub(a.redMul(l)),h=this.z.redMul(o);return this.curve.jpoint(f,p,h)},f.prototype.dblp=function(e){if(0===e)return this;if(this.isInfinity())return this;if(!e)return this.dbl();if(this.curve.zeroA||this.curve.threeA){for(var t=this,n=0;n<e;n++)t=t.dbl();return t}var r=this.curve.a,a=this.curve.tinv,i=this.x,o=this.y,s=this.z,u=s.redSqr().redSqr(),l=o.redAdd(o);for(n=0;n<e;n++){var c=i.redSqr(),f=l.redSqr(),p=f.redSqr(),h=c.redAdd(c).redIAdd(c).redIAdd(r.redMul(u)),d=i.redMul(f),m=h.redSqr().redISub(d.redAdd(d)),g=d.redISub(m),y=h.redMul(g);y=y.redIAdd(y).redISub(p);var v=l.redMul(s);n+1<e&&(u=u.redMul(p)),i=m,s=v,l=y}return this.curve.jpoint(i,l.redMul(a),s)},f.prototype.dbl=function(){return this.isInfinity()?this:this.curve.zeroA?this._zeroDbl():this.curve.threeA?this._threeDbl():this._dbl()},f.prototype._zeroDbl=function(){var e,t,n;if(this.zOne){var r=this.x.redSqr(),a=this.y.redSqr(),i=a.redSqr(),o=this.x.redAdd(a).redSqr().redISub(r).redISub(i);o=o.redIAdd(o);var s=r.redAdd(r).redIAdd(r),u=s.redSqr().redISub(o).redISub(o),l=i.redIAdd(i);l=(l=l.redIAdd(l)).redIAdd(l),e=u,t=s.redMul(o.redISub(u)).redISub(l),n=this.y.redAdd(this.y)}else{var c=this.x.redSqr(),f=this.y.redSqr(),p=f.redSqr(),h=this.x.redAdd(f).redSqr().redISub(c).redISub(p);h=h.redIAdd(h);var d=c.redAdd(c).redIAdd(c),m=d.redSqr(),g=p.redIAdd(p);g=(g=g.redIAdd(g)).redIAdd(g),e=m.redISub(h).redISub(h),t=d.redMul(h.redISub(e)).redISub(g),n=(n=this.y.redMul(this.z)).redIAdd(n)}return this.curve.jpoint(e,t,n)},f.prototype._threeDbl=function(){var e,t,n;if(this.zOne){var r=this.x.redSqr(),a=this.y.redSqr(),i=a.redSqr(),o=this.x.redAdd(a).redSqr().redISub(r).redISub(i);o=o.redIAdd(o);var s=r.redAdd(r).redIAdd(r).redIAdd(this.curve.a),u=s.redSqr().redISub(o).redISub(o);e=u;var l=i.redIAdd(i);l=(l=l.redIAdd(l)).redIAdd(l),t=s.redMul(o.redISub(u)).redISub(l),n=this.y.redAdd(this.y)}else{var c=this.z.redSqr(),f=this.y.redSqr(),p=this.x.redMul(f),h=this.x.redSub(c).redMul(this.x.redAdd(c));h=h.redAdd(h).redIAdd(h);var d=p.redIAdd(p),m=(d=d.redIAdd(d)).redAdd(d);e=h.redSqr().redISub(m),n=this.y.redAdd(this.z).redSqr().redISub(f).redISub(c);var g=f.redSqr();g=(g=(g=g.redIAdd(g)).redIAdd(g)).redIAdd(g),t=h.redMul(d.redISub(e)).redISub(g)}return this.curve.jpoint(e,t,n)},f.prototype._dbl=function(){var e=this.curve.a,t=this.x,n=this.y,r=this.z,a=r.redSqr().redSqr(),i=t.redSqr(),o=n.redSqr(),s=i.redAdd(i).redIAdd(i).redIAdd(e.redMul(a)),u=t.redAdd(t),l=(u=u.redIAdd(u)).redMul(o),c=s.redSqr().redISub(l.redAdd(l)),f=l.redISub(c),p=o.redSqr();p=(p=(p=p.redIAdd(p)).redIAdd(p)).redIAdd(p);var h=s.redMul(f).redISub(p),d=n.redAdd(n).redMul(r);return this.curve.jpoint(c,h,d)},f.prototype.trpl=function(){if(!this.curve.zeroA)return this.dbl().add(this);var e=this.x.redSqr(),t=this.y.redSqr(),n=this.z.redSqr(),r=t.redSqr(),a=e.redAdd(e).redIAdd(e),i=a.redSqr(),o=this.x.redAdd(t).redSqr().redISub(e).redISub(r),s=(o=(o=(o=o.redIAdd(o)).redAdd(o).redIAdd(o)).redISub(i)).redSqr(),u=r.redIAdd(r);u=(u=(u=u.redIAdd(u)).redIAdd(u)).redIAdd(u);var l=a.redIAdd(o).redSqr().redISub(i).redISub(s).redISub(u),c=t.redMul(l);c=(c=c.redIAdd(c)).redIAdd(c);var f=this.x.redMul(s).redISub(c);f=(f=f.redIAdd(f)).redIAdd(f);var p=this.y.redMul(l.redMul(u.redISub(l)).redISub(o.redMul(s)));p=(p=(p=p.redIAdd(p)).redIAdd(p)).redIAdd(p);var h=this.z.redAdd(o).redSqr().redISub(n).redISub(s);return this.curve.jpoint(f,p,h)},f.prototype.mul=function(e,t){return e=new i(e,t),this.curve._wnafMul(this,e)},f.prototype.eq=function(e){if("affine"===e.type)return this.eq(e.toJ());if(this===e)return!0;var t=this.z.redSqr(),n=e.z.redSqr();if(0!==this.x.redMul(n).redISub(e.x.redMul(t)).cmpn(0))return!1;var r=t.redMul(this.z),a=n.redMul(e.z);return 0===this.y.redMul(a).redISub(e.y.redMul(r)).cmpn(0)},f.prototype.eqXToP=function(e){var t=this.z.redSqr(),n=e.toRed(this.curve.red).redMul(t);if(0===this.x.cmp(n))return!0;for(var r=e.clone(),a=this.curve.redN.redMul(t);;){if(r.iadd(this.curve.n),r.cmp(this.curve.p)>=0)return!1;if(n.redIAdd(a),0===this.x.cmp(n))return!0}},f.prototype.inspect=function(){return this.isInfinity()?"<EC JPoint Infinity>":"<EC JPoint x: "+this.x.toString(16,2)+" y: "+this.y.toString(16,2)+" z: "+this.z.toString(16,2)+">"},f.prototype.isInfinity=function(){return 0===this.z.cmpn(0)}},function(e,t,n){"use strict";var r=n(15),a=n(27).utils,i=a.getNAF,o=a.getJSF,s=a.assert;function u(e,t){this.type=e,this.p=new r(t.p,16),this.red=t.prime?r.red(t.prime):r.mont(this.p),this.zero=new r(0).toRed(this.red),this.one=new r(1).toRed(this.red),this.two=new r(2).toRed(this.red),this.n=t.n&&new r(t.n,16),this.g=t.g&&this.pointFromJSON(t.g,t.gRed),this._wnafT1=new Array(4),this._wnafT2=new Array(4),this._wnafT3=new Array(4),this._wnafT4=new Array(4);var n=this.n&&this.p.div(this.n);!n||n.cmpn(100)>0?this.redN=null:(this._maxwellTrick=!0,this.redN=this.n.toRed(this.red))}function l(e,t){this.curve=e,this.type=t,this.precomputed=null}e.exports=u,u.prototype.point=function(){throw new Error("Not implemented")},u.prototype.validate=function(){throw new Error("Not implemented")},u.prototype._fixedNafMul=function(e,t){s(e.precomputed);var n=e._getDoubles(),r=i(t,1),a=(1<<n.step+1)-(n.step%2==0?2:1);a/=3;for(var o=[],u=0;u<r.length;u+=n.step){var l=0;for(t=u+n.step-1;t>=u;t--)l=(l<<1)+r[t];o.push(l)}for(var c=this.jpoint(null,null,null),f=this.jpoint(null,null,null),p=a;p>0;p--){for(u=0;u<o.length;u++)(l=o[u])===p?f=f.mixedAdd(n.points[u]):l===-p&&(f=f.mixedAdd(n.points[u].neg()));c=c.add(f)}return c.toP()},u.prototype._wnafMul=function(e,t){var n=4,r=e._getNAFPoints(n);n=r.wnd;for(var a=r.points,o=i(t,n),u=this.jpoint(null,null,null),l=o.length-1;l>=0;l--){for(t=0;l>=0&&0===o[l];l--)t++;if(l>=0&&t++,u=u.dblp(t),l<0)break;var c=o[l];s(0!==c),u="affine"===e.type?c>0?u.mixedAdd(a[c-1>>1]):u.mixedAdd(a[-c-1>>1].neg()):c>0?u.add(a[c-1>>1]):u.add(a[-c-1>>1].neg())}return"affine"===e.type?u.toP():u},u.prototype._wnafMulAdd=function(e,t,n,r,a){for(var s=this._wnafT1,u=this._wnafT2,l=this._wnafT3,c=0,f=0;f<r;f++){var p=(S=t[f])._getNAFPoints(e);s[f]=p.wnd,u[f]=p.points}for(f=r-1;f>=1;f-=2){var h=f-1,d=f;if(1===s[h]&&1===s[d]){var m=[t[h],null,null,t[d]];0===t[h].y.cmp(t[d].y)?(m[1]=t[h].add(t[d]),m[2]=t[h].toJ().mixedAdd(t[d].neg())):0===t[h].y.cmp(t[d].y.redNeg())?(m[1]=t[h].toJ().mixedAdd(t[d]),m[2]=t[h].add(t[d].neg())):(m[1]=t[h].toJ().mixedAdd(t[d]),m[2]=t[h].toJ().mixedAdd(t[d].neg()));var g=[-3,-1,-5,-7,0,7,5,1,3],y=o(n[h],n[d]);c=Math.max(y[0].length,c),l[h]=new Array(c),l[d]=new Array(c);for(var v=0;v<c;v++){var b=0|y[0][v],w=0|y[1][v];l[h][v]=g[3*(b+1)+(w+1)],l[d][v]=0,u[h]=m}}else l[h]=i(n[h],s[h]),l[d]=i(n[d],s[d]),c=Math.max(l[h].length,c),c=Math.max(l[d].length,c)}var x=this.jpoint(null,null,null),_=this._wnafT4;for(f=c;f>=0;f--){for(var E=0;f>=0;){var N=!0;for(v=0;v<r;v++)_[v]=0|l[v][f],0!==_[v]&&(N=!1);if(!N)break;E++,f--}if(f>=0&&E++,x=x.dblp(E),f<0)break;for(v=0;v<r;v++){var S,O=_[v];0!==O&&(O>0?S=u[v][O-1>>1]:O<0&&(S=u[v][-O-1>>1].neg()),x="affine"===S.type?x.mixedAdd(S):x.add(S))}}for(f=0;f<r;f++)u[f]=null;return a?x:x.toP()},u.BasePoint=l,l.prototype.eq=function(){throw new Error("Not implemented")},l.prototype.validate=function(){return this.curve.validate(this)},u.prototype.decodePoint=function(e,t){e=a.toArray(e,t);var n=this.p.byteLength();if((4===e[0]||6===e[0]||7===e[0])&&e.length-1==2*n)return 6===e[0]?s(e[e.length-1]%2==0):7===e[0]&&s(e[e.length-1]%2==1),this.point(e.slice(1,1+n),e.slice(1+n,1+2*n));if((2===e[0]||3===e[0])&&e.length-1===n)return this.pointFromX(e.slice(1,1+n),3===e[0]);throw new Error("Unknown point format")},l.prototype.encodeCompressed=function(e){return this.encode(e,!0)},l.prototype._encode=function(e){var t=this.curve.p.byteLength(),n=this.getX().toArray("be",t);return e?[this.getY().isEven()?2:3].concat(n):[4].concat(n,this.getY().toArray("be",t))},l.prototype.encode=function(e,t){return a.encode(this._encode(t),e)},l.prototype.precompute=function(e){if(this.precomputed)return this;var t={doubles:null,naf:null,beta:null};return t.naf=this._getNAFPoints(8),t.doubles=this._getDoubles(4,e),t.beta=this._getBeta(),this.precomputed=t,this},l.prototype._hasDoubles=function(e){if(!this.precomputed)return!1;var t=this.precomputed.doubles;return!!t&&t.points.length>=Math.ceil((e.bitLength()+1)/t.step)},l.prototype._getDoubles=function(e,t){if(this.precomputed&&this.precomputed.doubles)return this.precomputed.doubles;for(var n=[this],r=this,a=0;a<t;a+=e){for(var i=0;i<e;i++)r=r.dbl();n.push(r)}return{step:e,points:n}},l.prototype._getNAFPoints=function(e){if(this.precomputed&&this.precomputed.naf)return this.precomputed.naf;for(var t=[this],n=(1<<e)-1,r=1===n?null:this.dbl(),a=1;a<n;a++)t[a]=t[a-1].add(r);return{wnd:e,points:t}},l.prototype._getBeta=function(){return null},l.prototype.dblp=function(e){for(var t=this,n=0;n<e;n++)t=t.dbl();return t}},function(e,t,n){"use strict";var r=t,a=n(15),i=n(31),o=n(230);r.assert=i,r.toArray=o.toArray,r.zero2=o.zero2,r.toHex=o.toHex,r.encode=o.encode,r.getNAF=function(e,t){for(var n=[],r=1<<t+1,a=e.clone();a.cmpn(1)>=0;){var i;if(a.isOdd()){var o=a.andln(r-1);i=o>(r>>1)-1?(r>>1)-o:o,a.isubn(i)}else i=0;n.push(i);for(var s=0!==a.cmpn(0)&&0===a.andln(r-1)?t+1:1,u=1;u<s;u++)n.push(0);a.iushrn(s)}return n},r.getJSF=function(e,t){var n=[[],[]];e=e.clone(),t=t.clone();for(var r=0,a=0;e.cmpn(-r)>0||t.cmpn(-a)>0;){var i,o,s,u=e.andln(3)+r&3,l=t.andln(3)+a&3;3===u&&(u=-1),3===l&&(l=-1),i=0==(1&u)?0:3!=(s=e.andln(7)+r&7)&&5!==s||2!==l?u:-u,n[0].push(i),o=0==(1&l)?0:3!=(s=t.andln(7)+a&7)&&5!==s||2!==u?l:-l,n[1].push(o),2*r===i+1&&(r=1-r),2*a===o+1&&(a=1-a),e.iushrn(1),t.iushrn(1)}return n},r.cachedProperty=function(e,t,n){var r="_"+t;e.prototype[t]=function(){return void 0!==this[r]?this[r]:this[r]=n.call(this)}},r.parseBytes=function(e){return"string"==typeof e?r.toArray(e,"hex"):e},r.intFromLE=function(e){return new a(e,"hex","le")}},function(e){e.exports={name:"elliptic",version:"6.4.1",description:"EC cryptography",main:"lib/elliptic.js",files:["lib"],scripts:{jscs:"jscs benchmarks/*.js lib/*.js lib/**/*.js lib/**/**/*.js test/index.js",jshint:"jscs benchmarks/*.js lib/*.js lib/**/*.js lib/**/**/*.js test/index.js",lint:"npm run jscs && npm run jshint",unit:"istanbul test _mocha --reporter=spec test/index.js",test:"npm run lint && npm run unit",version:"grunt dist && git add dist/"},repository:{type:"git",url:"git@github.com:indutny/elliptic"},keywords:["EC","Elliptic","curve","Cryptography"],author:"Fedor Indutny <fedor@indutny.com>",license:"MIT",bugs:{url:"https://github.com/indutny/elliptic/issues"},homepage:"https://github.com/indutny/elliptic",devDependencies:{brfs:"^1.4.3",coveralls:"^2.11.3",grunt:"^0.4.5","grunt-browserify":"^5.0.0","grunt-cli":"^1.2.0","grunt-contrib-connect":"^1.0.0","grunt-contrib-copy":"^1.0.0","grunt-contrib-uglify":"^1.0.1","grunt-mocha-istanbul":"^3.0.1","grunt-saucelabs":"^8.6.2",istanbul:"^0.4.2",jscs:"^2.9.0",jshint:"^2.6.0",mocha:"^2.1.0"},dependencies:{"bn.js":"^4.4.0",brorand:"^1.0.1","hash.js":"^1.0.0","hmac-drbg":"^1.0.0",inherits:"^2.0.1","minimalistic-assert":"^1.0.0","minimalistic-crypto-utils":"^1.0.0"}}},function(e,t,n){(function(t){var r=n(245),a=n(149),i=n(27).ec,o=n(15),s=n(109),u=n(222);function l(e,n,a,i){if((e=new t(e.toArray())).length<n.byteLength()){var o=new t(n.byteLength()-e.length);o.fill(0),e=t.concat([o,e])}var s=a.length,u=function(e,n){e=(e=c(e,n)).mod(n);var r=new t(e.toArray());if(r.length<n.byteLength()){var a=new t(n.byteLength()-r.length);a.fill(0),r=t.concat([a,r])}return r}(a,n),l=new t(s);l.fill(1);var f=new t(s);return f.fill(0),f=r(i,f).update(l).update(new t([0])).update(e).update(u).digest(),l=r(i,f).update(l).digest(),{k:f=r(i,f).update(l).update(new t([1])).update(e).update(u).digest(),v:l=r(i,f).update(l).digest()}}function c(e,t){var n=new o(e),r=(e.length<<3)-t.bitLength();return r>0&&n.ishrn(r),n}function f(e,n,a){var i,o;do{for(i=new t(0);8*i.length<e.bitLength();)n.v=r(a,n.k).update(n.v).digest(),i=t.concat([i,n.v]);o=c(i,e),n.k=r(a,n.k).update(n.v).update(new t([0])).digest(),n.v=r(a,n.k).update(n.v).digest()}while(-1!==o.cmp(e));return o}function p(e,t,n,r){return e.toRed(o.mont(n)).redPow(t).fromRed().mod(r)}e.exports=function(e,n,r,h,d){var m=s(n);if(m.curve){if("ecdsa"!==h&&"ecdsa/rsa"!==h)throw new Error("wrong private key type");return function(e,n){var r=u[n.curve.join(".")];if(!r)throw new Error("unknown curve "+n.curve.join("."));var a=new i(r).keyFromPrivate(n.privateKey).sign(e);return new t(a.toDER())}(e,m)}if("dsa"===m.type){if("dsa"!==h)throw new Error("wrong private key type");return function(e,n,r){for(var a,i=n.params.priv_key,s=n.params.p,u=n.params.q,h=n.params.g,d=new o(0),m=c(e,u).mod(u),g=!1,y=l(i,u,e,r);!1===g;)d=p(h,a=f(u,y,r),s,u),0===(g=a.invm(u).imul(m.add(i.mul(d))).mod(u)).cmpn(0)&&(g=!1,d=new o(0));return function(e,n){e=e.toArray(),n=n.toArray(),128&e[0]&&(e=[0].concat(e)),128&n[0]&&(n=[0].concat(n));var r=[48,e.length+n.length+4,2,e.length];return r=r.concat(e,[2,n.length],n),new t(r)}(d,g)}(e,m,r)}if("rsa"!==h&&"ecdsa/rsa"!==h)throw new Error("wrong private key type");e=t.concat([d,e]);for(var g=m.modulus.byteLength(),y=[0,1];e.length+y.length+1<g;)y.push(255);y.push(0);for(var v=-1;++v<e.length;)y.push(e[v]);return a(y,m)},e.exports.getKey=l,e.exports.makeKey=f}).call(this,n(16).Buffer)},function(e,t,n){(function(t){var r=n(96),a=n(158),i=n(5),o=n(427),s=n(391),u=n(243);function l(e){a.Writable.call(this);var t=u[e];if(!t)throw new Error("Unknown message digest");this._hashType=t.hash,this._hash=r(t.hash),this._tag=t.id,this._signType=t.sign}function c(e){a.Writable.call(this);var t=u[e];if(!t)throw new Error("Unknown message digest");this._hash=r(t.hash),this._tag=t.id,this._signType=t.sign}function f(e){return new l(e)}function p(e){return new c(e)}Object.keys(u).forEach(function(e){u[e].id=new t(u[e].id,"hex"),u[e.toLowerCase()]=u[e]}),i(l,a.Writable),l.prototype._write=function(e,t,n){this._hash.update(e),n()},l.prototype.update=function(e,n){return"string"==typeof e&&(e=new t(e,n)),this._hash.update(e),this},l.prototype.sign=function(e,t){this.end();var n=this._hash.digest(),r=o(n,e,this._hashType,this._signType,this._tag);return t?r.toString(t):r},i(c,a.Writable),c.prototype._write=function(e,t,n){this._hash.update(e),n()},c.prototype.update=function(e,n){return"string"==typeof e&&(e=new t(e,n)),this._hash.update(e),this},c.prototype.verify=function(e,n,r){"string"==typeof n&&(n=new t(n,r)),this.end();var a=this._hash.digest();return s(n,a,e,this._signType,this._tag)},e.exports={Sign:f,Verify:p,createSign:f,createVerify:p}}).call(this,n(16).Buffer)},function(e,t,n){(function(t){var r=n(15),a=new(n(232)),i=new r(24),o=new r(11),s=new r(10),u=new r(3),l=new r(7),c=n(233),f=n(79);function p(e,n){return n=n||"utf8",t.isBuffer(e)||(e=new t(e,n)),this._pub=new r(e),this}function h(e,n){return n=n||"utf8",t.isBuffer(e)||(e=new t(e,n)),this._priv=new r(e),this}e.exports=m;var d={};function m(e,t,n){this.setGenerator(t),this.__prime=new r(e),this._prime=r.mont(this.__prime),this._primeLen=e.length,this._pub=void 0,this._priv=void 0,this._primeCode=void 0,n?(this.setPublicKey=p,this.setPrivateKey=h):this._primeCode=8}function g(e,n){var r=new t(e.toArray());return n?r.toString(n):r}Object.defineProperty(m.prototype,"verifyError",{enumerable:!0,get:function(){return"number"!=typeof this._primeCode&&(this._primeCode=function(e,t){var n=t.toString("hex"),r=[n,e.toString(16)].join("_");if(r in d)return d[r];var f,p=0;if(e.isEven()||!c.simpleSieve||!c.fermatTest(e)||!a.test(e))return p+=1,p+="02"===n||"05"===n?8:4,d[r]=p,p;switch(a.test(e.shrn(1))||(p+=2),n){case"02":e.mod(i).cmp(o)&&(p+=8);break;case"05":(f=e.mod(s)).cmp(u)&&f.cmp(l)&&(p+=8);break;default:p+=4}return d[r]=p,p}(this.__prime,this.__gen)),this._primeCode}}),m.prototype.generateKeys=function(){return this._priv||(this._priv=new r(f(this._primeLen))),this._pub=this._gen.toRed(this._prime).redPow(this._priv).fromRed(),this.getPublicKey()},m.prototype.computeSecret=function(e){var n=(e=(e=new r(e)).toRed(this._prime)).redPow(this._priv).fromRed(),a=new t(n.toArray()),i=this.getPrime();if(a.length<i.length){var o=new t(i.length-a.length);o.fill(0),a=t.concat([o,a])}return a},m.prototype.getPublicKey=function(e){return g(this._pub,e)},m.prototype.getPrivateKey=function(e){return g(this._priv,e)},m.prototype.getPrime=function(e){return g(this.__prime,e)},m.prototype.getGenerator=function(e){return g(this._gen,e)},m.prototype.setGenerator=function(e,n){return n=n||"utf8",t.isBuffer(e)||(e=new t(e,n)),this.__gen=e,this._gen=new r(e),this}}).call(this,n(16).Buffer)},function(e){e.exports={modp1:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a63a3620ffffffffffffffff"},modp2:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece65381ffffffffffffffff"},modp5:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece45b3dc2007cb8a163bf0598da48361c55d39a69163fa8fd24cf5f83655d23dca3ad961c62f356208552bb9ed529077096966d670c354e4abc9804f1746c08ca237327ffffffffffffffff"},modp14:{gen:"02",prime:"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"},modp15:{gen:"02",prime:"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"},modp16:{gen:"02",prime:"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"},modp17:{gen:"02",prime:"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"},modp18:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088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i(n,s,!0)))}}).call(this,n(16).Buffer)},function(e,t){t["des-ecb"]={key:8,iv:0},t["des-cbc"]=t.des={key:8,iv:8},t["des-ede3-cbc"]=t.des3={key:24,iv:8},t["des-ede3"]={key:24,iv:0},t["des-ede-cbc"]={key:16,iv:8},t["des-ede"]={key:16,iv:0}},function(e,t,n){var r=n(235),a=n(6).Buffer,i=n(150),o=n(234),s=n(56),u=n(112),l=n(111);function c(e,t,n){s.call(this),this._cache=new f,this._last=void 0,this._cipher=new u.AES(t),this._prev=a.from(n),this._mode=e,this._autopadding=!0}function f(){this.cache=a.allocUnsafe(0)}function p(e,t,n){var s=i[e.toLowerCase()];if(!s)throw new TypeError("invalid suite type");if("string"==typeof n&&(n=a.from(n)),"GCM"!==s.mode&&n.length!==s.iv)throw new TypeError("invalid iv length "+n.length);if("string"==typeof t&&(t=a.from(t)),t.length!==s.key/8)throw new TypeError("invalid key length "+t.length);return"stream"===s.type?new o(s.module,t,n,!0):"auth"===s.type?new r(s.module,t,n,!0):new c(s.module,t,n)}n(5)(c,s),c.prototype._update=function(e){var 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n=i[e.toLowerCase()];if(!n)throw new TypeError("invalid suite type");var r=l(t,!1,n.key,n.iv);return p(e,r.key,r.iv)},t.createDecipheriv=p},function(e,t,n){var r=n(6).Buffer,a=r.alloc(16,0);function i(e){var t=r.allocUnsafe(16);return t.writeUInt32BE(e[0]>>>0,0),t.writeUInt32BE(e[1]>>>0,4),t.writeUInt32BE(e[2]>>>0,8),t.writeUInt32BE(e[3]>>>0,12),t}function o(e){this.h=e,this.state=r.alloc(16,0),this.cache=r.allocUnsafe(0)}o.prototype.ghash=function(e){for(var t=-1;++t<e.length;)this.state[t]^=e[t];this._multiply()},o.prototype._multiply=function(){for(var e,t,n=function(e){return[e.readUInt32BE(0),e.readUInt32BE(4),e.readUInt32BE(8),e.readUInt32BE(12)]}(this.h),r=[0,0,0,0],a=-1;++a<128;){for(0!=(this.state[~~(a/8)]&1<<7-a%8)&&(r[0]^=n[0],r[1]^=n[1],r[2]^=n[2],r[3]^=n[3]),t=0!=(1&n[3]),e=3;e>0;e--)n[e]=n[e]>>>1|(1&n[e-1])<<31;n[0]=n[0]>>>1,t&&(n[0]=n[0]^225<<24)}this.state=i(r)},o.prototype.update=function(e){var t;for(this.cache=r.concat([this.cache,e]);this.cache.length>=16;)t=this.cache.slice(0,16),this.cache=this.cache.slice(16),this.ghash(t)},o.prototype.final=function(e,t){return this.cache.length&&this.ghash(r.concat([this.cache,a],16)),this.ghash(i([0,e,0,t])),this.state},e.exports=o},function(e,t,n){(function(e){var r=n(94);function a(e){return e._prev=e._cipher.encryptBlock(e._prev),e._prev}t.encrypt=function(t,n){for(;t._cache.length<n.length;)t._cache=e.concat([t._cache,a(t)]);var i=t._cache.slice(0,n.length);return t._cache=t._cache.slice(n.length),r(n,i)}}).call(this,n(16).Buffer)},function(e,t,n){var r=n(6).Buffer;function a(e,t,n){for(var r,a,o,s=-1,u=0;++s<8;)r=e._cipher.encryptBlock(e._prev),a=t&1<<7-s?128:0,u+=(128&(o=r[0]^a))>>s%8,e._prev=i(e._prev,n?a:o);return u}function i(e,t){var n=e.length,a=-1,i=r.allocUnsafe(e.length);for(e=r.concat([e,r.from([t])]);++a<n;)i[a]=e[a]<<1|e[a+1]>>7;return i}t.encrypt=function(e,t,n){for(var i=t.length,o=r.allocUnsafe(i),s=-1;++s<i;)o[s]=a(e,t[s],n);return o}},function(e,t,n){var r=n(6).Buffer;function a(e,t,n){var a=e._cipher.encryptBlock(e._prev)[0]^t;return e._prev=r.concat([e._prev.slice(1),r.from([n?t:a])]),a}t.encrypt=function(e,t,n){for(var i=t.length,o=r.allocUnsafe(i),s=-1;++s<i;)o[s]=a(e,t[s],n);return o}},function(e,t,n){var r=n(6).Buffer,a=n(94);function i(e,t,n){var i=t.length,o=a(t,e._cache);return e._cache=e._cache.slice(i),e._prev=r.concat([e._prev,n?t:o]),o}t.encrypt=function(e,t,n){for(var a,o=r.allocUnsafe(0);t.length;){if(0===e._cache.length&&(e._cache=e._cipher.encryptBlock(e._prev),e._prev=r.allocUnsafe(0)),!(e._cache.length<=t.length)){o=r.concat([o,i(e,t,n)]);break}a=e._cache.length,o=r.concat([o,i(e,t.slice(0,a),n)]),t=t.slice(a)}return o}},function(e,t,n){var r=n(94);t.encrypt=function(e,t){var n=r(t,e._prev);return e._prev=e._cipher.encryptBlock(n),e._prev},t.decrypt=function(e,t){var n=e._prev;e._prev=t;var a=e._cipher.decryptBlock(t);return r(a,n)}},function(e,t){t.encrypt=function(e,t){return e._cipher.encryptBlock(t)},t.decrypt=function(e,t){return e._cipher.decryptBlock(t)}},function(e,t,n){var r=n(150),a=n(235),i=n(6).Buffer,o=n(234),s=n(56),u=n(112),l=n(111);function c(e,t,n){s.call(this),this._cache=new p,this._cipher=new u.AES(t),this._prev=i.from(n),this._mode=e,this._autopadding=!0}n(5)(c,s),c.prototype._update=function(e){var t,n;this._cache.add(e);for(var r=[];t=this._cache.get();)n=this._mode.encrypt(this,t),r.push(n);return i.concat(r)};var f=i.alloc(16,16);function p(){this.cache=i.allocUnsafe(0)}function h(e,t,n){var s=r[e.toLowerCase()];if(!s)throw new TypeError("invalid suite type");if("string"==typeof t&&(t=i.from(t)),t.length!==s.key/8)throw new TypeError("invalid key length "+t.length);if("string"==typeof n&&(n=i.from(n)),"GCM"!==s.mode&&n.length!==s.iv)throw new TypeError("invalid iv length "+n.length);return"stream"===s.type?new o(s.module,t,n):"auth"===s.type?new a(s.module,t,n):new c(s.module,t,n)}c.prototype._final=function(){var e=this._cache.flush();if(this._autopadding)return e=this._mode.encrypt(this,e),this._cipher.scrub(),e;if(!e.equals(f))throw this._cipher.scrub(),new Error("data not multiple of block length")},c.prototype.setAutoPadding=function(e){return this._autopadding=!!e,this},p.prototype.add=function(e){this.cache=i.concat([this.cache,e])},p.prototype.get=function(){if(this.cache.length>15){var e=this.cache.slice(0,16);return this.cache=this.cache.slice(16),e}return null},p.prototype.flush=function(){for(var e=16-this.cache.length,t=i.allocUnsafe(e),n=-1;++n<e;)t.writeUInt8(e,n);return i.concat([this.cache,t])},t.createCipheriv=h,t.createCipher=function(e,t){var n=r[e.toLowerCase()];if(!n)throw new TypeError("invalid suite type");var a=l(t,!1,n.key,n.iv);return h(e,a.key,a.iv)}},function(e,t,n){"use strict";var r=n(31),a=n(5),i=n(152),o=i.Cipher,s=i.DES;function u(e){o.call(this,e);var t=new function(e,t){r.equal(t.length,24,"Invalid key length");var n=t.slice(0,8),a=t.slice(8,16),i=t.slice(16,24);this.ciphers="encrypt"===e?[s.create({type:"encrypt",key:n}),s.create({type:"decrypt",key:a}),s.create({type:"encrypt",key:i})]:[s.create({type:"decrypt",key:i}),s.create({type:"encrypt",key:a}),s.create({type:"decrypt",key:n})]}(this.type,this.options.key);this._edeState=t}a(u,o),e.exports=u,u.create=function(e){return new u(e)},u.prototype._update=function(e,t,n,r){var a=this._edeState;a.ciphers[0]._update(e,t,n,r),a.ciphers[1]._update(n,r,n,r),a.ciphers[2]._update(n,r,n,r)},u.prototype._pad=s.prototype._pad,u.prototype._unpad=s.prototype._unpad},function(e,t,n){"use strict";var r=n(31),a=n(5),i={};t.instantiate=function(e){function t(t){e.call(this,t),this._cbcInit()}a(t,e);for(var n=Object.keys(i),r=0;r<n.length;r++){var o=n[r];t.prototype[o]=i[o]}return t.create=function(e){return new t(e)},t},i._cbcInit=function(){var e=new function(e){r.equal(e.length,8,"Invalid IV length"),this.iv=new Array(8);for(var t=0;t<this.iv.length;t++)this.iv[t]=e[t]}(this.options.iv);this._cbcState=e},i._update=function(e,t,n,r){var a=this._cbcState,i=this.constructor.super_.prototype,o=a.iv;if("encrypt"===this.type){for(var s=0;s<this.blockSize;s++)o[s]^=e[t+s];for(i._update.call(this,o,0,n,r),s=0;s<this.blockSize;s++)o[s]=n[r+s]}else{for(i._update.call(this,e,t,n,r),s=0;s<this.blockSize;s++)n[r+s]^=o[s];for(s=0;s<this.blockSize;s++)o[s]=e[t+s]}}},function(e,t,n){"use strict";var r=n(31),a=n(5),i=n(152),o=i.utils,s=i.Cipher;function u(e){s.call(this,e);var t=new function(){this.tmp=new Array(2),this.keys=null};this._desState=t,this.deriveKeys(t,e.key)}a(u,s),e.exports=u,u.create=function(e){return new u(e)};var l=[1,1,2,2,2,2,2,2,1,2,2,2,2,2,2,1];u.prototype.deriveKeys=function(e,t){e.keys=new Array(32),r.equal(t.length,this.blockSize,"Invalid key length");var n=o.readUInt32BE(t,0),a=o.readUInt32BE(t,4);o.pc1(n,a,e.tmp,0),n=e.tmp[0],a=e.tmp[1];for(var i=0;i<e.keys.length;i+=2){var s=l[i>>>1];n=o.r28shl(n,s),a=o.r28shl(a,s),o.pc2(n,a,e.keys,i)}},u.prototype._update=function(e,t,n,r){var a=this._desState,i=o.readUInt32BE(e,t),s=o.readUInt32BE(e,t+4);o.ip(i,s,a.tmp,0),i=a.tmp[0],s=a.tmp[1],"encrypt"===this.type?this._encrypt(a,i,s,a.tmp,0):this._decrypt(a,i,s,a.tmp,0),i=a.tmp[0],s=a.tmp[1],o.writeUInt32BE(n,i,r),o.writeUInt32BE(n,s,r+4)},u.prototype._pad=function(e,t){for(var n=e.length-t,r=t;r<e.length;r++)e[r]=n;return!0},u.prototype._unpad=function(e){for(var t=e[e.length-1],n=e.length-t;n<e.length;n++)r.equal(e[n],t);return e.slice(0,e.length-t)},u.prototype._encrypt=function(e,t,n,r,a){for(var i=t,s=n,u=0;u<e.keys.length;u+=2){var l=e.keys[u],c=e.keys[u+1];o.expand(s,e.tmp,0),l^=e.tmp[0],c^=e.tmp[1];var f=o.substitute(l,c),p=s;s=(i^o.permute(f))>>>0,i=p}o.rip(s,i,r,a)},u.prototype._decrypt=function(e,t,n,r,a){for(var i=n,s=t,u=e.keys.length-2;u>=0;u-=2){var l=e.keys[u],c=e.keys[u+1];o.expand(i,e.tmp,0),l^=e.tmp[0],c^=e.tmp[1];var f=o.substitute(l,c),p=i;i=(s^o.permute(f))>>>0,s=p}o.rip(i,s,r,a)}},function(e,t,n){"use strict";var r=n(31);function a(e){this.options=e,this.type=this.options.type,this.blockSize=8,this._init(),this.buffer=new Array(this.blockSize),this.bufferOff=0}e.exports=a,a.prototype._init=function(){},a.prototype.update=function(e){return 0===e.length?[]:"decrypt"===this.type?this._updateDecrypt(e):this._updateEncrypt(e)},a.prototype._buffer=function(e,t){for(var n=Math.min(this.buffer.length-this.bufferOff,e.length-t),r=0;r<n;r++)this.buffer[this.bufferOff+r]=e[t+r];return this.bufferOff+=n,n},a.prototype._flushBuffer=function(e,t){return this._update(this.buffer,0,e,t),this.bufferOff=0,this.blockSize},a.prototype._updateEncrypt=function(e){var t=0,n=0,r=(this.bufferOff+e.length)/this.blockSize|0,a=new Array(r*this.blockSize);0!==this.bufferOff&&(t+=this._buffer(e,t),this.bufferOff===this.buffer.length&&(n+=this._flushBuffer(a,n)));for(var i=e.length-(e.length-t)%this.blockSize;t<i;t+=this.blockSize)this._update(e,t,a,n),n+=this.blockSize;for(;t<e.length;t++,this.bufferOff++)this.buffer[this.bufferOff]=e[t];return a},a.prototype._updateDecrypt=function(e){for(var t=0,n=0,r=Math.ceil((this.bufferOff+e.length)/this.blockSize)-1,a=new Array(r*this.blockSize);r>0;r--)t+=this._buffer(e,t),n+=this._flushBuffer(a,n);return t+=this._buffer(e,t),a},a.prototype.final=function(e){var t,n;return e&&(t=this.update(e)),n="encrypt"===this.type?this._finalEncrypt():this._finalDecrypt(),t?t.concat(n):n},a.prototype._pad=function(e,t){if(0===t)return!1;for(;t<e.length;)e[t++]=0;return!0},a.prototype._finalEncrypt=function(){if(!this._pad(this.buffer,this.bufferOff))return[];var e=new Array(this.blockSize);return this._update(this.buffer,0,e,0),e},a.prototype._unpad=function(e){return e},a.prototype._finalDecrypt=function(){r.equal(this.bufferOff,this.blockSize,"Not enough data to decrypt");var e=new Array(this.blockSize);return this._flushBuffer(e,0),this._unpad(e)}},function(e,t,n){"use strict";t.readUInt32BE=function(e,t){return(e[0+t]<<24|e[1+t]<<16|e[2+t]<<8|e[3+t])>>>0},t.writeUInt32BE=function(e,t,n){e[0+n]=t>>>24,e[1+n]=t>>>16&255,e[2+n]=t>>>8&255,e[3+n]=255&t},t.ip=function(e,t,n,r){for(var a=0,i=0,o=6;o>=0;o-=2){for(var s=0;s<=24;s+=8)a<<=1,a|=t>>>s+o&1;for(s=0;s<=24;s+=8)a<<=1,a|=e>>>s+o&1}for(o=6;o>=0;o-=2){for(s=1;s<=25;s+=8)i<<=1,i|=t>>>s+o&1;for(s=1;s<=25;s+=8)i<<=1,i|=e>>>s+o&1}n[r+0]=a>>>0,n[r+1]=i>>>0},t.rip=function(e,t,n,r){for(var a=0,i=0,o=0;o<4;o++)for(var s=24;s>=0;s-=8)a<<=1,a|=t>>>s+o&1,a<<=1,a|=e>>>s+o&1;for(o=4;o<8;o++)for(s=24;s>=0;s-=8)i<<=1,i|=t>>>s+o&1,i<<=1,i|=e>>>s+o&1;n[r+0]=a>>>0,n[r+1]=i>>>0},t.pc1=function(e,t,n,r){for(var a=0,i=0,o=7;o>=5;o--){for(var s=0;s<=24;s+=8)a<<=1,a|=t>>s+o&1;for(s=0;s<=24;s+=8)a<<=1,a|=e>>s+o&1}for(s=0;s<=24;s+=8)a<<=1,a|=t>>s+o&1;for(o=1;o<=3;o++){for(s=0;s<=24;s+=8)i<<=1,i|=t>>s+o&1;for(s=0;s<=24;s+=8)i<<=1,i|=e>>s+o&1}for(s=0;s<=24;s+=8)i<<=1,i|=e>>s+o&1;n[r+0]=a>>>0,n[r+1]=i>>>0},t.r28shl=function(e,t){return e<<t&268435455|e>>>28-t};var r=[14,11,17,4,27,23,25,0,13,22,7,18,5,9,16,24,2,20,12,21,1,8,15,26,15,4,25,19,9,1,26,16,5,11,23,8,12,7,17,0,22,3,10,14,6,20,27,24];t.pc2=function(e,t,n,a){for(var i=0,o=0,s=r.length>>>1,u=0;u<s;u++)i<<=1,i|=e>>>r[u]&1;for(u=s;u<r.length;u++)o<<=1,o|=t>>>r[u]&1;n[a+0]=i>>>0,n[a+1]=o>>>0},t.expand=function(e,t,n){var r=0,a=0;r=(1&e)<<5|e>>>27;for(var i=23;i>=15;i-=4)r<<=6,r|=e>>>i&63;for(i=11;i>=3;i-=4)a|=e>>>i&63,a<<=6;a|=(31&e)<<1|e>>>31,t[n+0]=r>>>0,t[n+1]=a>>>0};var a=[14,0,4,15,13,7,1,4,2,14,15,2,11,13,8,1,3,10,10,6,6,12,12,11,5,9,9,5,0,3,7,8,4,15,1,12,14,8,8,2,13,4,6,9,2,1,11,7,15,5,12,11,9,3,7,14,3,10,10,0,5,6,0,13,15,3,1,13,8,4,14,7,6,15,11,2,3,8,4,14,9,12,7,0,2,1,13,10,12,6,0,9,5,11,10,5,0,13,14,8,7,10,11,1,10,3,4,15,13,4,1,2,5,11,8,6,12,7,6,12,9,0,3,5,2,14,15,9,10,13,0,7,9,0,14,9,6,3,3,4,15,6,5,10,1,2,13,8,12,5,7,14,11,12,4,11,2,15,8,1,13,1,6,10,4,13,9,0,8,6,15,9,3,8,0,7,11,4,1,15,2,14,12,3,5,11,10,5,14,2,7,12,7,13,13,8,14,11,3,5,0,6,6,15,9,0,10,3,1,4,2,7,8,2,5,12,11,1,12,10,4,14,15,9,10,3,6,15,9,0,0,6,12,10,11,1,7,13,13,8,15,9,1,4,3,5,14,11,5,12,2,7,8,2,4,14,2,14,12,11,4,2,1,12,7,4,10,7,11,13,6,1,8,5,5,0,3,15,15,10,13,3,0,9,14,8,9,6,4,11,2,8,1,12,11,7,10,1,13,14,7,2,8,13,15,6,9,15,12,0,5,9,6,10,3,4,0,5,14,3,12,10,1,15,10,4,15,2,9,7,2,12,6,9,8,5,0,6,13,1,3,13,4,14,14,0,7,11,5,3,11,8,9,4,14,3,15,2,5,12,2,9,8,5,12,15,3,10,7,11,0,14,4,1,10,7,1,6,13,0,11,8,6,13,4,13,11,0,2,11,14,7,15,4,0,9,8,1,13,10,3,14,12,3,9,5,7,12,5,2,10,15,6,8,1,6,1,6,4,11,11,13,13,8,12,1,3,4,7,10,14,7,10,9,15,5,6,0,8,15,0,14,5,2,9,3,2,12,13,1,2,15,8,13,4,8,6,10,15,3,11,7,1,4,10,12,9,5,3,6,14,11,5,0,0,14,12,9,7,2,7,2,11,1,4,14,1,7,9,4,12,10,14,8,2,13,0,15,6,12,10,9,13,0,15,3,3,5,5,6,8,11];t.substitute=function(e,t){for(var n=0,r=0;r<4;r++)n<<=4,n|=a[64*r+(e>>>18-6*r&63)];for(r=0;r<4;r++)n<<=4,n|=a[256+64*r+(t>>>18-6*r&63)];return n>>>0};var i=[16,25,12,11,3,20,4,15,31,17,9,6,27,14,1,22,30,24,8,18,0,5,29,23,13,19,2,26,10,21,28,7];t.permute=function(e){for(var t=0,n=0;n<i.length;n++)t<<=1,t|=e>>>i[n]&1;return t>>>0},t.padSplit=function(e,t,n){for(var r=e.toString(2);r.length<t;)r="0"+r;for(var a=[],i=0;i<t;i+=n)a.push(r.slice(i,i+n));return a.join(" ")}},function(e,t,n){var r=n(56),a=n(152),i=n(5),o=n(6).Buffer,s={"des-ede3-cbc":a.CBC.instantiate(a.EDE),"des-ede3":a.EDE,"des-ede-cbc":a.CBC.instantiate(a.EDE),"des-ede":a.EDE,"des-cbc":a.CBC.instantiate(a.DES),"des-ecb":a.DES};function u(e){r.call(this);var t,n=e.mode.toLowerCase(),a=s[n];t=e.decrypt?"decrypt":"encrypt";var i=e.key;o.isBuffer(i)||(i=o.from(i)),"des-ede"!==n&&"des-ede-cbc"!==n||(i=o.concat([i,i.slice(0,8)]));var u=e.iv;o.isBuffer(u)||(u=o.from(u)),this._des=a.create({key:i,iv:u,type:t})}s.des=s["des-cbc"],s.des3=s["des-ede3-cbc"],e.exports=u,i(u,r),u.prototype._update=function(e){return o.from(this._des.update(e))},u.prototype._final=function(){return o.from(this._des.final())}},function(e,t,n){var r=n(450),a=n(151),i=n(150),o=n(435),s=n(111);function u(e,t,n){if(e=e.toLowerCase(),i[e])return a.createCipheriv(e,t,n);if(o[e])return new r({key:t,iv:n,mode:e});throw new TypeError("invalid suite type")}function l(e,t,n){if(e=e.toLowerCase(),i[e])return a.createDecipheriv(e,t,n);if(o[e])return new r({key:t,iv:n,mode:e,decrypt:!0});throw new TypeError("invalid suite type")}t.createCipher=t.Cipher=function(e,t){var n,r;if(e=e.toLowerCase(),i[e])n=i[e].key,r=i[e].iv;else{if(!o[e])throw new TypeError("invalid suite type");n=8*o[e].key,r=o[e].iv}var a=s(t,!1,n,r);return u(e,a.key,a.iv)},t.createCipheriv=t.Cipheriv=u,t.createDecipher=t.Decipher=function(e,t){var n,r;if(e=e.toLowerCase(),i[e])n=i[e].key,r=i[e].iv;else{if(!o[e])throw new TypeError("invalid suite type");n=8*o[e].key,r=o[e].iv}var a=s(t,!1,n,r);return l(e,a.key,a.iv)},t.createDecipheriv=t.Decipheriv=l,t.listCiphers=t.getCiphers=function(){return Object.keys(o).concat(a.getCiphers())}},function(e,t,n){(function(t,r){var a,i=n(241),o=n(240),s=n(239),u=n(6).Buffer,l=t.crypto&&t.crypto.subtle,c={sha:"SHA-1","sha-1":"SHA-1",sha1:"SHA-1",sha256:"SHA-256","sha-256":"SHA-256",sha384:"SHA-384","sha-384":"SHA-384","sha-512":"SHA-512",sha512:"SHA-512"},f=[];function p(e,t,n,r,a){return l.importKey("raw",e,{name:"PBKDF2"},!1,["deriveBits"]).then(function(e){return l.deriveBits({name:"PBKDF2",salt:t,iterations:n,hash:{name:a}},e,r<<3)}).then(function(e){return u.from(e)})}e.exports=function(e,n,h,d,m,g){"function"==typeof m&&(g=m,m=void 0);var y=c[(m=m||"sha1").toLowerCase()];if(!y||"function"!=typeof t.Promise)return r.nextTick(function(){var t;try{t=s(e,n,h,d,m)}catch(e){return g(e)}g(null,t)});if(i(e,n,h,d),"function"!=typeof g)throw new Error("No callback provided to pbkdf2");u.isBuffer(e)||(e=u.from(e,o)),u.isBuffer(n)||(n=u.from(n,o)),function(e,t){e.then(function(e){r.nextTick(function(){t(null,e)})},function(e){r.nextTick(function(){t(e)})})}(function(e){if(t.process&&!t.process.browser)return Promise.resolve(!1);if(!l||!l.importKey||!l.deriveBits)return Promise.resolve(!1);if(void 0!==f[e])return f[e];var n=p(a=a||u.alloc(8),a,10,128,e).then(function(){return!0}).catch(function(){return!1});return f[e]=n,n}(y).then(function(t){return t?p(e,n,h,d,y):s(e,n,h,d,m)}),g)}}).call(this,n(26),n(46))},function(e,t,n){e.exports=n(243)},function(e,t,n){"use strict";var r=n(5),a=n(6).Buffer,i=n(56),o=a.alloc(128),s=64;function u(e,t){i.call(this,"digest"),"string"==typeof t&&(t=a.from(t)),this._alg=e,this._key=t,t.length>s?t=e(t):t.length<s&&(t=a.concat([t,o],s));for(var 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Did you set `model.trainable` without calling `model.compile()` afterwards?")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;vn(r);var a=this.standardizeUserData(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return O(this.testLoop(o,i,r,n.verbose,n.steps))}finally{Nn(a[0],e),Nn(a[1],t)}},t.prototype.evaluateDataset=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(n){return this.makeTestFunction(),[2,function(e,t,n){return s(this,void 0,void 0,function(){var a,i,o,s,l,c,f,p,h,d;return u(this,function(m){switch(m.label){case 0:if(a=null!=n.batches,i=e.testFunction,o=[],n.verbose>0)throw new x("Verbose mode is not implemented yet.");return r.util.assert(!a||n.batches>0&&Number.isInteger(n.batches),"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(n.batches)),"function"==typeof t.next?(l=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:l=m.sent(),m.label=3;case 3:s=l,c=0,f=0,p=function(){var t,l,p,h,d,m;return u(this,function(u){switch(u.label){case 0:return[4,s.next()];case 1:if((t=u.sent()).value){if(l=gn(e,t.value),p=Object(r.tidy)(function(){return i(l)}),Object(r.dispose)(l),0===f)for(m=0;m<p.length;++m)o.push(y(0));for(h=l[0].shape[0],d=function(e){var t=p[e],n=o[e];o[e]=Object(r.tidy)(function(){return Object(r.add)(o[e],Object(r.mul)(y(h),t))}),f>0&&Object(r.dispose)(n)},m=0;m<p.length;++m)d(m);Object(r.dispose)(p),c+=h,++f}return t.done?(a&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, "+n.batches+" batches). You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},m.label=4;case 4:return!a||f<n.batches?[5,p()]:[3,6];case 5:return"break"===m.sent()?[3,6]:[3,4];case 6:for(h=function(e){var t=o[e];o[e]=Object(r.tidy)(function(){return Object(r.div)(o[e],y(c))}),Object(r.dispose)(t)},d=0;d<o.length;++d)h(d);return[2,O(o)]}})})}(this,e,t)]})})},t.prototype.checkNumSamples=function(e,t,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=t)throw new w("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new w("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return a},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new w("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),a=n?t:[t],i=this.retrieveSymbolicTensors(a),o=new pn;if(e instanceof r.Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new w("The number of inputs provided ("+e.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var s=0;s<this.inputs.length;++s)o.add(this.inputs[s],e[s])}else for(var u=0,l=this.inputs;u<l.length;u++){var c=l[u],f=e[c.name];if(null==f)throw new w("No value is provided for the model's input "+c.name);o.add(c,f)}var p=hn(i,o);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=E(null,e.length),n=e.length,r=0,a=this.layers;r<a.length;r++){for(var i=a[r],o=Array.isArray(i.output)?i.output:[i.output],s=o.map(function(e){return e.name}),u=0;u<e.length;++u){var l=s.indexOf(e[u]);if(-1!==l&&(t[u]=o[l],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw t.forEach(function(t,n){null==t&&c.push(e[n])}),new w("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return t},t.prototype.predictLoop=function(e,t,n){var a=this;return void 0===t&&(t=32),void 0===n&&(n=!1),Object(r.tidy)(function(){var i=a.checkNumSamples(e);if(n)throw new x("Verbose predictLoop() is not implemented yet.");for(var o=xn(i,t),s=[],u=function(t){var n=Object(r.tidy)(function(){var n=o[t][0],r=o[t][1],i=bn(e,n,r),s=[];if(Array.isArray(i))for(var u=0;u<i.length;++u)s.push({key:a.inputs[u],value:i[u]});else s.push({key:a.inputs[0],value:i});var l=new pn(s);return hn(a.outputs,l)});if(0===t)for(var i=0,u=n;i<u.length;i++){var l=u[i];s.push(l)}else for(var c=0;c<n.length;++c)s[c]=we(s[c],n[c])},l=0;l<o.length;++l)u(l);return O(s)})},t.prototype.predict=function(e,t){void 0===t&&(t={});var n=En(e);In(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return vn(r),this.predictLoop(n,r)}finally{Nn(n,e)}},t.prototype.predictOnBatch=function(e){return In(e,this.inputNames,this.feedInputShapes,!0),this.predictLoop(e,e.shape[0])},t.prototype.standardizeUserData=function(e,t,n,a){if(void 0===n&&(n=!0),null==this.optimizer)throw new b("You must compile a model before training/testing. Use Model.compile(modelCompileConfig).");for(var i=[],o=0;o<this.feedOutputShapes.length;++o){var s=this.feedOutputShapes[o];this.feedLossFns[o]===Dt?i.push(s.slice(0,s.length-1).concat([1])):i.push(s)}if(function(e,t,n){var a=R(e.map(function(e){return e.shape[0]}));a.sort();var i=R(t.map(function(e){return e.shape[0]}));if(i.sort(),a.length>1)throw new w("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new w("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map(function(e){return e.shape})));if(a.length>0&&i.length>0&&!r.util.arraysEqual(a,i))throw new w("Input Tensors should have the same number of samples as target Tensors. Found "+a[0]+" input sample(s) and "+i[0]+" target sample(s).")}(e=kn(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=kn(t,this.feedOutputNames,i,!1,"target")),function(e,t,n){for(var r=[Ot,jt,Rt],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===Rt&&1===i.shape[i.shape.length-1])throw new w("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var f=u[c],p=l[c];if(null!=p&&f!==p)throw new w("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=a&&a>0&&e[0].shape[0]%a!=0)throw new w("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+a+". Found: "+e[0].shape[0]+" sample(s).");return[e,t,null]},t.prototype.testLoop=function(e,t,n,a,i){var o=this;return void 0===a&&(a=0),Object(r.tidy)(function(){var s=o.checkNumSamples(t,n,i,"steps"),u=[];if(a>0)throw new x("Verbose mode is not implemented yet.");if(null!=i)throw new x("steps mode in testLoop() is not implemented yet");for(var l=xn(s,n),c=Object(r.tensor1d)(he(0,s)),f=0;f<l.length;++f){var p=l[f][0],h=l[f][1],d=ge(c,p,h-p),m=wn(t,d),g=e(m);if(0===f)for(var v=0;v<g.length;++v)u.push(y(0));for(v=0;v<g.length;++v){var b=g[v];u[v]=Object(r.add)(u[v],Object(r.mul)(y(h-p),b))}}for(v=0;v<u.length;++v)u[v]=Object(r.div)(u[v],y(s));return u})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;S(e,r)>1&&(a+="_"+S(e.slice(0,n),r)),t.push(a)}return t},t.prototype.makeTrainFunction=function(){var e=this;return function(t){var n=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=[],o=e.collectedTrainableWeights.map(function(e){return e.read()});return[e.optimizer.minimize(function(){for(var t=[],o=0;o<e.inputs.length;++o)t.push({key:e.inputs[o],value:n[o]});var s,u=new pn(t),l=hn(e.outputs,u,{training:!0});for(o=0;o<e.lossFunctions.length;++o){var c=(0,e.lossFunctions[o])(a[o],l[o]);Object(r.mean)(c),s=0===o?c:Object(r.add)(s,c)}for(o=0;o<e.metricsTensors.length;++o){var f=e.metricsTensors[o][0],p=e.metricsTensors[o][1],h=Object(r.mean)(f(a[p],l[p]));Object(r.keep)(h),i.push(h)}return s=Object(r.mean)(s),e.calculateLosses().forEach(function(e){s=Object(r.add)(s,e)}),s},!0,o)].concat(i)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return Object(r.tidy)(function(){for(var n,a=[],i=t.slice(0,e.inputs.length),o=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),s=[],u=0;u<e.inputs.length;++u)s.push({key:e.inputs[u],value:i[u]});var l=new pn(s),c=hn(e.outputs,l);for(u=0;u<e.lossFunctions.length;++u){var f=e.lossFunctions[u],p=Object(r.mean)(f(o[u],c[u]));n=0===u?p:Object(r.add)(n,p),a.push(n)}for(u=0;u<e.metricsTensors.length;++u){var h=e.metricsTensors[u][0],d=e.metricsTensors[u][1],m=Object(r.mean)(h(o[d],c[d]));a.push(m)}return a})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),s(this,void 0,void 0,function(){return u(this,function(r){return[2,_n(this,e,t,n)]})})},t.prototype.fitDataset=function(e,t){return s(this,void 0,void 0,function(){return u(this,function(n){return[2,function(e,t,n){return s(this,void 0,void 0,function(){var a,i,o,s,l,c,f,p,h,d,m,g,y,v,b,w,_,E,N,S,O,I,C,P,A,T;return u(this,function(u){switch(u.label){case 0:if(a=null!=n.batchesPerEpoch,r.util.assert(null!=e.optimizer,"You must compile a model before training/testing. Use Model.compile(modelCompileConfig)."),r.util.assert(null!=n,"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),r.util.assert(null!=n.epochs&&n.epochs>0&&Number.isInteger(n.epochs),"For fitDataset(), config.epochs is expected to be a positive integer, but got "+n.epochs),r.util.assert(!a||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+n.batchesPerEpoch),r.util.assert(null==n.validationSplit,"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0,u.label=1;case 1:return u.trys.push([1,,21,22]),i=null!=n.validationData,o=void 0,s=void 0,i&&(yn(n.validationData)?r.util.assert(null==n.validationBatches||n.validationBatches>0&&Number.isInteger(n.validationBatches),"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+n.validationBatches):(l=function(e){if(3===e.length)throw new x("Validation with sample weights is not implemented yet.");return{xs:e[0],ys:e[1]}}(n.validationData),o=l.xs,s=l.ys)),c=e.makeTrainFunction(),f=e.getDedupedMetricsNames(),p=void 0,p=i?f.slice().concat(f.map(function(e){return"val_"+e})):f.slice(),h=_t(n.callbacks),d=Nt(h,n.yieldEvery,n.verbose,n.epochs,null,null,n.batchesPerEpoch,null,i,p),m=d.callbackList,g=d.history,e.history=g,[4,m.onTrainBegin()];case 2:return u.sent(),y=null==n.initialEpoch?0:n.initialEpoch,v={},[4,t.iterator()];case 3:b=u.sent(),u.label=4;case 4:return y<n.epochs?[4,m.onEpochBegin(y)]:[3,18];case 5:return u.sent(),w=0,_=0,a?[3,7]:[4,t.iterator()];case 6:b=u.sent(),u.label=7;case 7:return!a||w<n.batchesPerEpoch?[4,b.next()]:[3,16];case 8:if(E=u.sent(),a&&E.done)return console.warn("You provided `batchesPerEpoch` as "+n.batchesPerEpoch+", but your dataset iterator ran out of data after "+w+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+n.batchesPerEpoch*n.epochs+" batches). You may need to use the repeat() function when building your dataset."),[3,16];if(null==E.value)return[3,10];for(N=gn(e,E.value),(S={}).batch=_,S.size=N[0].shape[0],m.onBatchBegin(_,S),O=c(N),Object(r.dispose)(N),T=0;T<f.length;++T)I=f[T],C=O[T],S[I]=C,Object(r.keep)(C);return[4,m.onBatchEnd(_,S)];case 9:u.sent(),mt(S),_++,w++,u.label=10;case 10:return(a?w>=n.batchesPerEpoch:E.done)?i?(P=void 0,yn(n.validationData)?(A=k,[4,e.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,12]):[3,14]:[3,15];case 11:return P=A.apply(void 0,[u.sent()]),[3,13];case 12:P=k(e.evaluate(o,s,{batchSize:null==n.validationBatchSize?mn:n.validationBatchSize,verbose:0})),u.label=13;case 13:for(T=0;T<e.metricsNames.length;++T)v["val_"+e.metricsNames[T]]=P[T];u.label=14;case 14:return[3,16];case 15:return e.stopTraining_?[3,16]:[3,7];case 16:return[4,m.onEpochEnd(y,v)];case 17:return u.sent(),y++,e.stopTraining_?[3,18]:[3,4];case 18:return[4,m.onTrainEnd()];case 19:return u.sent(),[4,e.history.syncData()];case 20:return u.sent(),[2,e.history];case 21:return e.isTraining=!1,[7];case 22:return[2]}})})}(this,e,t)]})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||(t[r[i].originalName]=a[i]);return t},Object.defineProperty(t.prototype,"stopTraining",{set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),t.prototype.save=function(e,t){return s(this,void 0,void 0,function(){var n,a,i,o,s;return u(this,function(u){switch(u.label){case 0:if("string"==typeof e){if(0===(n=r.io.getSaveHandlers(e)).length)throw new w("Cannot find any save handlers for URL '"+e+"'");if(n.length>1)throw new w("Found more than one ("+n.length+") save handlers for URL '"+e+"'");e=n[0]}if(null==e.save)throw new w("Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,r.io.encodeWeights(this.getNamedWeights(t))];case 1:return a=u.sent(),i=!1,o=null,s=this.toJSON(o,i),[2,e.save({modelTopology:s,weightData:a.data,weightSpecs:a.specs})]}})})},t.className="Model",t}(fn);r.serialization.registerClass(Cn);var Pn=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:d("sequential_"),null!=t.layers)for(var r=0,a=t.layers;r<a.length;r++){var i=a[r];n.add(i)}return n}return i(t,e),t.prototype.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some(function(e){return e<0}))throw new w("Negative dimension size caused by adding layer "+e.name+" with input shape ["+e.inboundNodes[0].inputTensors[0].shape+"]")},t.prototype.add=function(e){var n,r=e instanceof t||e instanceof Cn;if(r){if(1!==(n=e).outputs.length)throw new w("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==n.inputs.length)throw new w("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new w("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=ht({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new w("A layer added to a Sequential model must not already be connected somewhere else. Model received layer "+e.name+" which has "+e.inboundNodes.length+" pre-existing inbound connections.");if(1!==e.inboundNodes[0].outputTensors.length)throw new w("All layers in a Sequential model should have a single output tensor. 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Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e}function lr(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(i="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function cr(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+pe([n-t,0]);else{if("same"!==r)throw new w("Unsupport padding mode: "+r+".");e*=t}return e}function fr(e,t){return Object(r.tidy)(function(){return J(t),"channelsFirst"===t?Object(r.transpose)(e,[0,2,3,1]):e})}var pr=function(e){function t(n,r){var a=e.call(this,r)||this;if(a.bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyConfig(r),a.rank=n,1!==a.rank&&2!==a.rank)throw new x("Convolution layer for rank other than 1 or 2 ("+a.rank+") is not implemented yet.");if(a.kernelSize=ur(r.kernelSize,n,"kernelSize"),a.strides=ur(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,Q(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,J(a.dataFormat),a.activation=Yn(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=Ke(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=H(r.biasConstraint),a.biasRegularizer=sr(r.biasRegularizer),a.activityRegularizer=sr(r.activityRegularizer),a.dilationRate=ur(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new w("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new w("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate));return a}return i(t,e),t.verifyConfig=function(e){if(N("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,2))throw new w("BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Kn(this.activation),useBias:this.useBias,biasInitializer:He(this.biasInitializer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),hr=function(e){function t(n,r){var a=e.call(this,n,r)||this;return a.kernel=null,t.verifyConfig(r),a.filters=r.filters,a.kernelInitializer=Ke(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=H(r.kernelConstraint),a.kernelRegularizer=sr(r.kernelRegularizer),a}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new w("The channel dimension of the input should be defined. Found "+e[t]);var n,r=e[t],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t;e=Ze(e);var a=null==n.bias?null:n.bias.read();if(1===n.rank)t=function(e,t,n,a,i,o,s){return void 0===a&&(a=1),void 0===i&&(i="valid"),void 0===s&&(s=1),Object(r.tidy)(function(){if(null==o&&(o="channelsLast"),J(o),3!==e.shape.length)throw new w("The input of a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead.");if(3!==t.shape.length)throw new w("The kernel for a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new w("The bias for a conv1dWithBias operation should be 1, but is "+t.shape.length+" instead");if("channelsFirst"===o&&(e=Object(r.transpose)(e,[0,2,1])),"causal"===i)throw new x("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var u=Object(r.conv1d)(e,t,a,"same"===i?"same":"valid","NWC",s);return null!=n&&(u=Oe(u,n)),u})}(e,n.kernel.read(),a,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=function(e,t,n,a,i,o,s){return void 0===a&&(a=[1,1]),void 0===i&&(i="valid"),Object(r.tidy)(function(){if(null==o&&(o="channelsLast"),J(o),3!==e.rank&&4!==e.rank)throw new w("conv2dWithBias expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==t.rank&&4!==t.rank)throw new w("conv2dWithBias expects kernel to be of rank 3 or 4, but received "+e.rank+".");var u=fr(e,o);if("causal"===i)throw new x("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=Object(r.conv2d)(u,t,a,"same"===i?"same":"valid","NHWC",s),null!=n&&(u=Oe(u,n)),"channelsFirst"===o&&(u=Object(r.transpose)(u,[0,3,1,2])),u})}(e,n.kernel.read(),a,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new x("3D convolution is not implemented yet.");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=Qe(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=lr(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i},t.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:He(this.kernelInitializer),kernelRegularizer:ir(this.kernelRegularizer),kernelConstraint:$(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new w("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(pr),dr=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return i(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if("number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,2))throw new w("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv2D",t}(hr);r.serialization.registerClass(dr);var mr=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new ot({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new w("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return i(t,e),t.prototype.build=function(e){if(4!==(e=Qe(e)).length)throw new w("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new w("The channel dimension of the inputs should be defined. Found `None`.");var n,r=e[t],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ot({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e);if(4!==t.shape.length)throw new w("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var a,i,o=t.shape,s=o[0];"channelsFirst"===n.dataFormat?(a=2,i=3):(a=1,i=2);var u=o[a],l=o[i],c=n.kernelSize[0],f=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[s,cr(u,p,c,n.padding),cr(l,h,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=Object(r.transpose)(t,[0,2,3,1]));var m=Object(r.conv2dTranspose)(t,n.kernel.read(),d,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(m=Object(r.transpose)(m,[0,3,1,2])),null!=n.bias&&(m=Oe(m,n.bias.read(),n.dataFormat)),null!=n.activation&&(m=n.activation.apply(m)),m})},t.prototype.computeOutputShape=function(e){var t,n,r,a=(e=Qe(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=cr(a[n],s,i,this.padding),a[r]=cr(a[r],u,o,this.padding),a},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className="Conv2DTranspose",t}(dr);r.serialization.registerClass(mr);var gr=function(e){function t(t){return e.call(this,2,t)||this}return i(t,e),t.className="SeparableConv2D",t}(function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new w("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new w("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new w("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=sr(n.depthwiseRegularizer),r.depthwiseConstraint=H(n.depthwiseConstraint),r.pointwiseInitializer=Ke(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=sr(n.pointwiseRegularizer),r.pointwiseConstraint=H(n.pointwiseConstraint),r}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<this.rank+2)throw new w("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var t,n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new w("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new ot({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t;if(e=Ze(e),1===n.rank)throw new x("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=Object(r.transpose)(e,[0,2,3,1])),t=Object(r.separableConv2d)(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=Object(r.transpose)(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=He(this.depthwiseInitializer),t.pointwiseInitializer=He(this.pointwiseInitializer),t.depthwiseRegularizer=ir(this.depthwiseRegularizer),t.pointwiseRegularizer=ir(this.pointwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseConstraint),t.pointwiseConstraint=$(this.pointwiseConstraint),t},t.className="SeparableConv",t}(hr));r.serialization.registerClass(gr);var yr=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return i(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if("number"!=typeof e.kernelSize&&!L(e.kernelSize,"number",1,1))throw new w("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t.className="Conv1D",t}(hr);r.serialization.registerClass(yr);var vr=function(e){function t(t){var n=e.call(this,t)||this;return"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return e=Ze(e),"channelsLast"===n.dataFormat?ve(ve(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):ve(ve(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Cropping2D",t}(ft);r.serialization.registerClass(vr);var br=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,n}return i(t,e),t.prototype.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}return t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2],[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e),a=t.shape;if("channelsFirst"===n.dataFormat){t=Object(r.transpose)(t,[0,2,3,1]);var i=n.size[0]*a[2],o=n.size[1]*a[3],s=t.resizeNearestNeighbor([i,o]);return Object(r.transpose)(s,[0,3,1,2])}return i=n.size[0]*a[1],o=n.size[1]*a[2],t.resizeNearestNeighbor([i,o])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="UpSampling2D",t}(ft);r.serialization.registerClass(br);var wr=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=Ke(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=H(t.depthwiseConstraint),n.depthwiseRegularizer=sr(t.depthwiseRegularizer),n}return i(t,e),t.prototype.build=function(e){if((e=Qe(e)).length<4)throw new w("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new w("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=function(e,t,n,a,i,o){return void 0===n&&(n=[1,1]),void 0===a&&(a="valid"),Object(r.tidy)(function(){null==i&&(i="channelsLast"),J(i);var o=fr(e,i);if(4!==e.rank)throw new w("Input for depthwiseConv2d is required to be 4-D, but is instead "+e.rank+"-D");if(4!==t.rank)throw new w("depthwiseKernel is required to be 4-D, but is instead "+t.rank+"-D");return o=Object(r.depthwiseConv2d)(o,t,n,"same"===a?"same":"valid","NHWC",null),"channelsFirst"===i&&(o=Object(r.transpose)(o,[0,3,1,2])),o})}(e=Ze(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat);return n.useBias&&(t=Oe(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=lr(t,this.kernelSize[0],this.padding,this.strides[0]),i=lr(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=He(this.depthwiseInitializer),t.depthwiseRegularizer=ir(this.depthwiseRegularizer),t.depthwiseConstraint=$(this.depthwiseRegularizer),t},t.className="DepthwiseConv2D",t}(pr);r.serialization.registerClass(wr);var xr=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=y(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new x("Non-default seed is not implemented in Dropout layer yet: "+n.seed);return n.supportsMasking=!0,n}return i(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var a=Ze(e);if(null!=n.noiseShape&&!r.util.arraysEqual(a.shape,n.noiseShape))throw new x("Non-default noise shape is not implemented in Dropout layer yet: "+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,o=n.getNoiseShape(a);return Ie(function(){return ke(a,n.rateScalar,o,n.seed)},function(){return a},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dropout",t}(ft);r.serialization.registerClass(xr);var _r=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=Yn(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=H(t.kernelConstraint),n.biasConstraint=H(t.biasConstraint),n.kernelRegularizer=sr(t.kernelRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.activityRegularizer=sr(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return i(t,e),t.prototype.build=function(e){var t,n=(e=Qe(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ee(Ze(e),n.kernel.read());return null!=n.bias&&(r=Oe(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),biasConstraint:$(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dense",t}(ft);r.serialization.registerClass(_r);var Er=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return i(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=Qe(e)).slice(1);t<n.length;t++)if(null==n[t])throw new w('The shape of the input to "Flatten" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[e[0],le(e,1)]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return n.invokeCallHook(e,t),function(e){if(e.rank<=1)throw new w("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],le(e.shape,1)];return e.reshape(t)}(Ze(e))})},t.className="Flatten",t}(ft);r.serialization.registerClass(Er);var Nr=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=Yn(t.activation),n}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ze(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:Kn(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Activation",t}(ft);r.serialization.registerClass(Nr);var Sr=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return function(e,t){return Object(r.tidy)(function(){if(2!==e.shape.length)throw new w("repeat() expects a rank-2 tensor, but received a rank-"+e.shape.length+" tensor.");return xe(me(e,1),[1,t,1])})}(e=Ze(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="RepeatVector",t}(ft);r.serialization.registerClass(Sr);var Or=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return i(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new w("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=le(e);if(null!==i){if(0===a||u%a!=0)throw new w(n);r[i]=u/a}else if(u!==a)throw new w(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ze(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Reshape",t}(ft);r.serialization.registerClass(Or);var kr=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var a=he(1,t.dims.length+1);if(!r.util.arraysEqual(t.dims.slice().sort(),a))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new ot({ndim:n.dims.length+1})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=(e=Qe(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return Object(r.transpose)(Ze(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Permute",t}(ft);r.serialization.registerClass(kr);var Ir=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(k(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=Ke(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=sr(t.embeddingsRegularizer),n.activityRegularizer=sr(t.activityRegularizer),n.embeddingsConstraint=H(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return i(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Embedding yet")},t.prototype.computeOutputShape=function(e){if(e=Qe(e),null==this.inputLength)return e.concat([this.outputDim]);var t=k(this.inputLength);if(t.length!==e.length-1)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new w('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t);var r=Ze(e);return"int32"!==r.dtype&&(r=de(r,"int32")),Ne(n.embeddings.read(),r.as1D()).reshape(Qe(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:He(this.embeddingsInitializer),embeddingsRegularizer:ir(this.embeddingsRegularizer),activityRegularizer:ir(this.activityRegularizer),embeddingsConstraint:$(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Embedding",t}(ft);r.serialization.registerClass(Ir);var Cr=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return i(t,e),t.prototype.mergeFunction=function(e){throw new x},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new w("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Qe(e)]),(e=e).length<2)throw new w("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t=[],n=0,r=e;n<r.length;n++)null!=(o=r[n])&&null!==o[0]&&t.push(o[0]);if((t=R(t)).length>1)throw new w("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var a=null==e[0]?null:e[0].slice(1),i=1;i<e.length;++i){var o=null==e[i]?null:e[i].slice(1);a=this.computeElementwiseOpOutputShape(a,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===R(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){if(e=e,n.reshapeRequired){var t=[],a=e.map(function(e){return e.rank});if(-1===a.indexOf(null)){for(var i=pe(a),o=0,s=e;o<s.length;o++){for(var u=(h=s[o]).rank,l=0;l<i-u;++l)h=me(h,1);t.push(h)}return n.mergeFunction(t)}for(var c=!1,f=0,p=e;f<p.length;f++){var h;if(null==(u=(h=p[f]).rank)){var d=h.shape,m=d[0],g=d.slice(1).concat([m]),y=h.reshape([m].concat(le(d.slice(1))));y=(y=Object(r.transpose)(y,[1,0])).reshape(g),t.push(y),c=!0}else if(u>1){var v=he(1,u).concat([0]);t.push(Object(r.transpose)(h,v)),c=!0}else t.push(h)}var b=n.mergeFunction(t),w=b.rank;if(c)if(null==w){var x=b.shape;g=[m=x[x.length-1]].concat(x.slice(0,x.length-1)),b=Object(r.transpose)(b.reshape([-1,m]),[1,0]).reshape(g)}else w>1&&(v=[w-1].concat(he(0,w-1)),b=Object(r.transpose)(b,v));return b}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a=[],i=0,o=e;i<o.length;i++)null!=(r=o[i])&&null!==r[0]&&a.push(r[0]);return 1===(a=R(a)).length?a.concat(t):[null].concat(t)},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Merge yet")},t}(ft),Pr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.add)(t,e[n]);return t})},t.className="Add",t}(Cr);r.serialization.registerClass(Pr);var Ar=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.mul)(t,e[n]);return t})},t.className="Multiply",t}(Cr);r.serialization.registerClass(Ar);var Tr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=Object(r.add)(t,e[n]);return Object(r.mul)(y(1/e.length),t)})},t.className="Average",t}(Cr);r.serialization.registerClass(Tr);var Mr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.maximum)(t,e[n]);return t})},t.className="Maximum",t}(Cr);r.serialization.registerClass(Mr);var Rr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.mergeFunction=function(e){return Object(r.tidy)(function(){for(var t=e[0],n=1;n<e.length;++n)t=Object(r.minimum)(t,e[n]);return t})},t.className="Minimum",t}(Cr);r.serialization.registerClass(Rr);var Dr=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return i(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new w("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t=!0,n=0,a=e=e;n<a.length;n++)if(null!=(f=a[n])){t=!1;break}if(!t){for(var i=[],o=0;o<e.length;++o){var s=e[o].slice();s.splice(this.axis,1);for(var u=!1,l=0,c=i;l<c.length;l++){var f=c[l];if(r.util.arraysEqual(f,s)){u=!0;break}}u||i.push(s)}if(i.length>1)throw new w("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return Object(r.tidy)(function(){return be(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new w("A `Concatenate` layer should be called on a list of inputs.");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,a=0,i=t.slice(1);a<i.length;a++){var o=i[a];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Concatenate yet")},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Concatenate",t}(Cr);function jr(e,t){for(;e<0;)e+=t;return e}r.serialization.registerClass(Dr);var Lr=function(e){function t(t){var n=e.call(this,t)||this;return n.axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return i(t,e),t.prototype.build=function(e){r.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),"A `Dot` layer should be called on a list of exactly 2 inputs.");var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new x("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(t,n);if(t[a[0]]!==n[a[1]])throw new w("Dimension incompatibility: "+t[a[0]]+" !== "+n[a[1]])},t.prototype.mergeFunction=function(e){if(2!==e.length)throw new w("A `Dot` layer must be called on exactly 2 inputs, but received "+e.length+" input(s).");var t,n=e[0],a=e[1];return t=Array.isArray(this.axes)?this.axes.map(function(t,n){return jr(t,e[n].shape.length)}):[jr(this.axes,n.shape.length),jr(this.axes,a.shape.length)],this.normalize&&(n=St(n,t[0]),a=St(a,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new x("batchDot is not implemented for tensors of 4D or higher rank yet");if(r.util.assert(e.shape.length>=2,"batchDot requires the rank of x to be >= 2, but got "+e.shape.length),r.util.assert(e.shape.length>=2,"batchDot requires the rank of y to be >= 2, but got "+t.shape.length),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new x("batchDot is not implemented for complex64-type Tensors yet.");var a=e.shape.length,i=t.shape.length;null==n&&(n=[a-1,i-2]);var o=n;return Object(r.tidy)(function(){var n,r;if(a>i){n=a-i;for(var s=[],u=0;u<n;++u)s.push(1);t=t.reshape(t.shape.concat(s))}else if(i>a){for(n=i-a,s=[],u=0;u<n;++u)s.push(1);e=e.reshape(e.shape.concat(s))}else n=0;if(2===e.shape.length&&2===t.shape.length)r=o[0]===o[1]?e.mulStrict(t).sum(o[0]):e.transpose([1,0]).mulStrict(t).sum(o[1]);else{var l=o[0]!==e.shape.length-1||null,c=o[1]===t.shape.length-1||null;r=e.matMul(t,l,c)}if(n>0){var f,p=[];for(u=f=a>i?a+i-3:a-1;u<f+n;++u)p.push(u);r=r.squeeze(p)}return 1===r.shape.length&&(r=r.expandDims(1)),r})}(n,a,t)},t.prototype.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[jr(this.axes,e.length),jr(this.axes,t.length)]},t.prototype.computeOutputShape=function(e){r.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),"A `Dot` layer should be called on a list of exactly 2 inputs.");var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new x("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(t,n);t.splice(a[0],1),n.splice(a[1],1),n.splice(0,1);var i=t.concat(n);return 1===i.length&&i.push(1),i},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for Dot yet")},t.prototype.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="Dot",t}(Cr);function Br(e,t,n,a,i,o){var s;if(void 0===o&&(o=.001),2===e.rank)s=Object(r.batchNormalization2d)(e,t,n,o,i,a);else if(3===e.rank)s=Object(r.batchNormalization3d)(e,t,n,o,i,a);else{if(4!==e.rank)throw new x("batchNormalization is not implemented for array of rank "+e.rank+" yet");s=Object(r.batchNormalization4d)(e,t,n,o,i,a)}return s}r.serialization.registerClass(Lr);var zr=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=Ke(t.betaInitializer||"zeros"),n.gammaInitializer=Ke(t.gammaInitializer||"ones"),n.movingMeanInitializer=Ke(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=Ke(t.movingVarianceInitializer||"ones"),n.betaConstraint=H(t.betaConstraint),n.gammaConstraint=H(t.gammaConstraint),n.betaRegularizer=sr(t.betaRegularizer),n.gammaRegularizer=sr(t.gammaRegularizer),n.stepCount=0,n}return i(t,e),t.prototype.build=function(e){e=Qe(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new w("Axis "+t+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new ot({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,a=[n];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var a=null!=t.training&&t.training,i=Ze(e),o=i.shape,s=o.length,u=he(0,s),l=n.axis>=0?n.axis:n.axis+s;u.splice(l,1);var c=E(1,s);c[l]=o[l];var f=u.slice();f.sort();var p=!r.util.arraysEqual(f,he(0,s).slice(0,s-1));if(!a)return function(){if(p){var e=n.movingMean.read().reshape(c),t=n.movingVariance.read().reshape(c),r=n.center?n.beta.read().reshape(c):null,a=n.scale?n.gamma.read().reshape(c):null;return Br(i,e,t,r,a,n.epsilon)}return Br(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(e,t,n,a,i){return void 0===i&&(i=.001),r.util.arraysEqual(a.slice().sort(),he(0,e.rank-1))?function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.tidy)(function(){var o=Object(r.moments)(e,a),s=o.mean,u=o.variance;return[Br(e,s,u,n,t,i),s,u]})}(e,t,n,a,i):function(e,t,n,a,i){return void 0===i&&(i=.001),Object(r.tidy)(function(){for(var o=Object(r.moments)(e,a),s=o.mean,u=o.variance,l=[],c=0,f=he(0,e.rank);c<f.length;c++){var p=f[c];-1!==a.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=s.reshape(l),d=u.reshape(l),m=null==t?null:t.reshape(l),g=null==n?null:n.reshape(l);return[Br(e,h,d,g,m,i),s,u]})}(e,t,n,a,i)}(i,n.gamma.read(),n.beta.read(),u,n.epsilon),d=h[0],m=h[1],g=h[2],v=le(u.map(function(e){return i.shape[e]})),b=g.mul(y(v/(v-(1+n.epsilon))));return function(){n.stepCount++;var e=Object(r.movingAverage)(n.movingMean.read(),m,n.momentum,n.stepCount);n.movingMean.write(e);var t=Object(r.movingAverage)(n.movingVariance.read(),b,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:He(this.betaInitializer),gammaInitializer:He(this.gammaInitializer),movingMeanInitializer:He(this.movingMeanInitializer),movingVarianceInitializer:He(this.movingVarianceInitializer),betaRegularizer:ir(this.betaRegularizer),gammaRegularizer:ir(this.gammaRegularizer),betaConstraint:$(this.betaConstraint),gammaConstraint:$(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="BatchNormalization",t}(ft);r.serialization.registerClass(zr);var Fr=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new w("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r=void 0,a=void 0;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new w("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new w("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new ot({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=Qe(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return function(e,t,n){return Object(r.tidy)(function(){if(4!==e.rank)throw new w("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new w("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==n&&(n="channelsLast"),"channelsLast"!==n&&"channelsFirst"!==n)throw new w("Unknown data format: "+n+". Supported data formats are 'channelsLast' and 'channelsFirst.");var a;return a="channelsFirst"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],Object(r.pad)(e,a)})}(Ze(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="ZeroPadding2D",t}(ft);function Vr(e,t,n,a,i,o){return Object(r.tidy)(function(){var s;J(i),j(ee,"PoolMode",o),Q(a),null==n&&(n=[1,1]),null==a&&(a="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),e=fr(e,i);var u="same"===a?"same":"valid";return s="max"===o?Object(r.maxPool)(e,t,n,u):Object(r.avgPool)(e,t,n,u),"channelsFirst"===i&&(s=Object(r.transpose)(s,[0,3,1,2])),s})}r.serialization.registerClass(Fr);var Ur=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new w("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new w("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?"valid":t.padding,Q(n.padding),n.inputSpec=[new ot({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){var t=lr((e=Qe(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){n.invokeCallHook(e,t),e=me(Ze(e),2);var a=n.poolingFunction(Ze(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return Object(r.squeeze)(a,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),Wr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"max")},t.className="MaxPooling1D",t}(Ur);r.serialization.registerClass(Wr);var qr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"avg")},t.className="AveragePooling1D",t}(Ur);r.serialization.registerClass(qr);var $r=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new w("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),Q(n.padding),n.inputSpec=[new ot({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){e=Qe(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=lr(t,this.poolSize[0],this.padding,this.strides[0]),n=lr(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){return n.invokeCallHook(e,t),n.poolingFunction(Ze(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),Gr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"max")},t.className="MaxPooling2D",t}($r);r.serialization.registerClass(Gr);var Hr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return J(a),Q(r),Vr(e,t,n,r,a,"avg")},t.className="AveragePooling2D",t}($r);r.serialization.registerClass(Hr);var Kr=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new ot({ndim:3})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new x},t}(ft),Xr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.tidy)(function(){var t=Ze(e);return Object(r.mean)(t,1)})},t.className="GlobalAveragePooling1D",t}(Kr);r.serialization.registerClass(Xr);var Yr=function(e){function t(t){return e.call(this,t)||this}return i(t,e),t.prototype.call=function(e,t){return Object(r.tidy)(function(){var t=Ze(e);return Object(r.max)(t,1)})},t.className="GlobalMaxPooling1D",t}(Kr);r.serialization.registerClass(Yr);var Jr=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,J(n.dataFormat),n.inputSpec=[new ot({ndim:4})],n}return i(t,e),t.prototype.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new x},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(ft),Zr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.mean)(t,[1,2]):Object(r.mean)(t,[2,3])})},t.className="GlobalAveragePooling2D",t}(Jr);r.serialization.registerClass(Zr);var Qr=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var t=Ze(e);return"channelsLast"===n.dataFormat?Object(r.max)(t,[1,2]):Object(r.max)(t,[2,3])})},t.className="GlobalMaxPooling2D",t}(Jr);function ea(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new w("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function ta(e,t,n,a,i,o,s,u){void 0===a&&(a=!1),void 0===s&&(s=!1),void 0===u&&(u=!1);var l=t.shape.length;if(l<3)throw new w("Input should be at least 3D, but is "+l+"D.");var c,f,p=[1,0].concat(he(2,l));if(t=Object(r.transpose)(t,p),null!=i)throw new x("The rnn() function of the deeplearn.js backend does not support masking yet.");if(null!=o)throw new x("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),a&&(t=Object(r.reverse)(t,0));for(var h=n,d=t.shape[0],m=function(n){var a=ge(t,n,1);a=a.reshape(a.shape.slice(1));var i=Object(r.tidy)(function(){return e(a,h)});if(f=i[0],u)if(0===n)c=f.expandDims(1);else{var o=Object(r.concat)([c,f.expandDims(1)],1);c.dispose(),c=o}h=i[1]},g=0;g<d;++g)m(g);return[f,c,h]}r.serialization.registerClass(Qr);var na=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new w("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(t.cell)?new ca({cells:t.cell}):t.cell).stateSize)throw new w("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new ot({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return i(t,e),t.prototype.getStates=function(){return null==this.states?he(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){Ye(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a=[],i=0,o=t;i<o.length;i++){var s=o[i];a.push([e[0],s])}return[n].concat(a)}return n},t.prototype.computeMask=function(e,t){throw new x("computeMask has not been implemented for RNN yet")},t.prototype.build=function(e){if(null!=this.numConstants)throw new x("Constants support is not implemented in RNN yet.");Ye(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new ot({shape:[t,null,n]});var a,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),a=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!r.util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),a))throw new w("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=a.map(function(e){return new ot({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),Object(r.tidy)(function(){if(!n.stateful)throw new v("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=n.inputSpec[0].shape[0];if(null==a)throw new w("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==n.states)Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return Object(r.zeros)([a,e])}):n.states=[Object(r.zeros)([a,n.cell.stateSize])];else if(null==e)Object(r.dispose)(n.states),null!=n.keptStates&&(Object(r.dispose)(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return Object(r.zeros)([a,e])}):n.states[0]=Object(r.zeros)([a,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states.length)throw new w("Layer "+n.name+" expects "+n.states.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===t?n.keptStates.push(n.states.slice()):Object(r.dispose)(n.states);for(var i=0;i<n.states.length;++i){var o=e[i],s=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,u=[a,s];if(!r.util.arraysEqual(o.shape,u))throw new w("State "+i+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+o.shape);n.states[i]=o}}n.states.forEach(function(e){return Object(r.keep)(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=ea(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new ot({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof st){var f=[t].concat(o),p=this.inputSpec.concat(s),h=this.inputSpec;this.inputSpec=p;var d=e.prototype.apply.call(this,f,n);return this.inputSpec=h,d}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;if(e=Ze(e),null==i&&(i=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new x("Masking is not implemented for RNN yet");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new w("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=ta(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,i,n.goBackwards,null,null,n.unroll,n.returnSequences),l=u[0],c=u[1],f=u[2];n.stateful&&n.resetStates(f,a);var p=n.returnSequences?c:l;return n.returnState?[p].concat(f):p})},t.prototype.getInitialState=function(e){var t=this;return Object(r.tidy)(function(){var n=Object(r.zeros)(e.shape);return n=me(n=Object(r.sum)(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?xe(n,[1,e]):n}):t.cell.stateSize>1?[xe(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className="RNN",t}(ft);r.serialization.registerClass(na);var ra=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t}(ft),aa=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Yn(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=sr(t.kernelRegularizer),n.recurrentRegularizer=sr(t.recurrentRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){e=Qe(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){if(2!==(e=e).length)throw new w("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var a=e[1];e=e[0];var i,o=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=fa(function(){return Object(r.onesLike)(e)},n.dropout,o)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=fa(function(){return Object(r.onesLike)(a)},n.recurrentDropout,o));var s=n.dropoutMask,u=n.recurrentDropoutMask;i=Ee(null!=s?Object(r.mul)(e,s):e,n.kernel.read()),null!=n.bias&&(i=Oe(i,n.bias.read())),null!=u&&(a=Object(r.mul)(a,u));var l=Object(r.add)(i,Ee(a,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="SimpleRNNCell",t}(ra);r.serialization.registerClass(aa);var ia=function(e){function t(t){return t.cell=new aa(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.tidy)(function(){null!=a.cell.dropoutMask&&(Object(r.dispose)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.dispose)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className="SimpleRNN",t}(na);r.serialization.registerClass(ia);var oa=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Yn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Yn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=sr(t.kernelRegularizer),n.recurrentRegularizer=sr(t.recurrentRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t=(e=Qe(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){if(2!==(e=e).length)throw new w("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var a=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=fa(function(){return Object(r.onesLike)(e)},n.dropout,a,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=fa(function(){return Object(r.onesLike)(i)},n.recurrentDropout,a,3));var o,s,u,l=n.dropoutMask,c=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=Object(r.mul)(e,l[0]));var f=Ee(e,n.kernel.read());n.useBias&&(f=Oe(f,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Object(r.mul)(i,c[0]));var p=n.recurrentKernel.read(),h=Object(r.split)(p,[2*n.units,n.units],p.rank-1),d=h[0],m=h[1],g=Ee(i,d),v=Object(r.split)(f,3,f.rank-1),b=v[0],x=v[1],_=v[2],E=Object(r.split)(g,2,g.rank-1),N=E[0],S=E[1];o=n.recurrentActivation.apply(Object(r.add)(b,N)),s=n.recurrentActivation.apply(Object(r.add)(x,S));var O=Ee(Object(r.mul)(s,i),m);u=n.activation.apply(Object(r.add)(_,O));var k=Object(r.add)(Object(r.mul)(o,i),Object(r.mul)(Object(r.add)(y(1),Object(r.neg)(o)),u));return[k,k]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="GRUCell",t}(ra);r.serialization.registerClass(oa);var sa=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new oa(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.tidy)(function(){null!=a.cell.dropoutMask&&(Object(r.dispose)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.dispose)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="GRU",t}(na);r.serialization.registerClass(sa);var ua=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,n.activation=Yn(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Yn(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=Ke(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=Ke(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=Ke(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=sr(t.kernelRegularizer),n.recurrentRegularizer=sr(t.recurrentRegularizer),n.biasRegularizer=sr(t.biasRegularizer),n.kernelConstraint=H(t.kernelConstraint),n.recurrentConstraint=H(t.recurrentConstraint),n.biasConstraint=H(t.biasConstraint),n.dropout=fe([1,pe([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=fe([1,pe([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return i(t,e),t.prototype.build=function(e){var t,n,r=(e=Qe(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,o=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i(t,e),t.prototype.apply=function(e,t){var n=a.apply([o]),r=(new Me).apply([o]),i=a.apply([2*o]);return we(we(n,r),i)},t}(Ae)).className="CustomInit",n)}else t=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){var a=null!=t.training&&t.training;if(3!==(e=e).length)throw new w("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var i=e[1],o=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=fa(function(){return Object(r.onesLike)(e)},n.dropout,a,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=fa(function(){return Object(r.onesLike)(i)},n.recurrentDropout,a,4));var s,u,l,c,f=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=Object(r.mul)(e,f[0]));var h=Ee(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=Object(r.mul)(i,p[0])),h=Object(r.add)(h,Ee(i,n.recurrentKernel.read())),n.useBias&&(h=Oe(h,n.bias.read()));var d=Object(r.split)(h,4,h.rank-1),m=d[0],g=d[1],y=d[2],v=d[3];s=n.recurrentActivation.apply(m),u=n.recurrentActivation.apply(g),l=Object(r.add)(Object(r.mul)(u,o),Object(r.mul)(s,n.activation.apply(y))),c=n.recurrentActivation.apply(v);var b=Object(r.mul)(c,n.activation.apply(l));return[b,b,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className="LSTMCell",t}(ra);r.serialization.registerClass(ua);var la=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new ua(t),e.call(this,t)||this}return i(t,e),t.prototype.call=function(t,n){var a=this;return Object(r.tidy)(function(){null!=a.cell.dropoutMask&&(Object(r.dispose)(a.cell.dropoutMask),a.cell.dropoutMask=null),null!=a.cell.recurrentDropoutMask&&(Object(r.dispose)(a.cell.recurrentDropoutMask),a.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,o=null==n?null:n.training,s=null==n?null:n.initialState;return e.prototype.call.call(a,t,{mask:i,training:o,initialState:s})})},Object.defineProperty(t.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:Kn(this.activation),recurrentActivation:Kn(this.recurrentActivation),useBias:this.useBias,kernelInitializer:He(this.kernelInitializer),recurrentInitializer:He(this.recurrentInitializer),biasInitializer:He(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:ir(this.kernelRegularizer),recurrentRegularizer:ir(this.recurrentRegularizer),biasRegularizer:ir(this.biasRegularizer),activityRegularizer:ir(this.activityRegularizer),kernelConstraint:$(this.kernelConstraint),recurrentConstraint:$(this.recurrentConstraint),biasConstraint:$(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className="LSTM",t}(na);r.serialization.registerClass(la);var ca=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return i(t,e),Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return Object(r.tidy)(function(){for(var r=(e=e).slice(1),a=[],i=0,o=n.cells.slice().reverse();i<o.length;i++){var s=o[i];Array.isArray(s.stateSize)?a.push(r.splice(0,s.stateSize.length)):a.push(r.splice(0,1))}a.reverse();for(var u,l=[],c=0;c<n.cells.length;++c)s=n.cells[c],r=a[c],u=0===c?[e[0]].concat(r):[u[0]].concat(r),u=s.call(u,t),l.push(u.slice(1));r=[];for(var f=0,p=l.slice().reverse();f<p.length;f++){var h=p[f];r.push.apply(r,h)}return[u[0]].concat(r)})},t.prototype.build=function(e){var t;Ye(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var 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n=t.contentWindow,r=n.eval,a=n.execScript;!r&&a&&(a.call(n,"null"),r=n.eval),forEach(Object_keys(e),function(t){n[t]=e[t]}),forEach(globals,function(t){e[t]&&(n[t]=e[t])});var i=Object_keys(n),o=r.call(n,this.code);return forEach(Object_keys(n),function(t){(t in e||-1===indexOf(i,t))&&(e[t]=n[t])}),forEach(globals,function(t){t in e||defineProp(e,t,n[t])}),document.body.removeChild(t),o},Script.prototype.runInThisContext=function(){return eval(this.code)},Script.prototype.runInNewContext=function(e){var t=Script.createContext(e),n=this.runInContext(t);return forEach(Object_keys(t),function(n){e[n]=t[n]}),n},forEach(Object_keys(Script.prototype),function(e){exports[e]=Script[e]=function(t){var n=Script(t);return n[e].apply(n,[].slice.call(arguments,1))}}),exports.createScript=function(e){return exports.Script(e)},exports.createContext=Script.createContext=function(e){var t=new Context;return"object"==typeof e&&forEach(Object_keys(e),function(n){t[n]=e[n]}),t}},function(e,t,n){var r=n(92),a=n(5);function i(e,t){this.name=e,this.body=t,this.decoders={},this.encoders={}}t.define=function(e,t){return new i(e,t)},i.prototype._createNamed=function(e){var t;try{t=n(407).runInThisContext("(function "+this.name+"(entity) {\n  this._initNamed(entity);\n})")}catch(e){t=function(e){this._initNamed(e)}}return a(t,e),t.prototype._initNamed=function(t){e.call(this,t)},new t(this)},i.prototype._getDecoder=function(e){return e=e||"der",this.decoders.hasOwnProperty(e)||(this.decoders[e]=this._createNamed(r.decoders[e])),this.decoders[e]},i.prototype.decode=function(e,t,n){return this._getDecoder(t).decode(e,n)},i.prototype._getEncoder=function(e){return e=e||"der",this.encoders.hasOwnProperty(e)||(this.encoders[e]=this._createNamed(r.encoders[e])),this.encoders[e]},i.prototype.encode=function(e,t,n){return this._getEncoder(t).encode(e,n)}},function(e,t,n){"use strict";var r=n(92);t.certificate=n(398);var a=r.define("RSAPrivateKey",function(){this.seq().obj(this.key("version").int(),this.key("modulus").int(),this.key("publicExponent").int(),this.key("privateExponent").int(),this.key("prime1").int(),this.key("prime2").int(),this.key("exponent1").int(),this.key("exponent2").int(),this.key("coefficient").int())});t.RSAPrivateKey=a;var i=r.define("RSAPublicKey",function(){this.seq().obj(this.key("modulus").int(),this.key("publicExponent").int())});t.RSAPublicKey=i;var o=r.define("SubjectPublicKeyInfo",function(){this.seq().obj(this.key("algorithm").use(s),this.key("subjectPublicKey").bitstr())});t.PublicKey=o;var s=r.define("AlgorithmIdentifier",function(){this.seq().obj(this.key("algorithm").objid(),this.key("none").null_().optional(),this.key("curve").objid().optional(),this.key("params").seq().obj(this.key("p").int(),this.key("q").int(),this.key("g").int()).optional())}),u=r.define("PrivateKeyInfo",function(){this.seq().obj(this.key("version").int(),this.key("algorithm").use(s),this.key("subjectPrivateKey").octstr())});t.PrivateKey=u;var l=r.define("EncryptedPrivateKeyInfo",function(){this.seq().obj(this.key("algorithm").seq().obj(this.key("id").objid(),this.key("decrypt").seq().obj(this.key("kde").seq().obj(this.key("id").objid(),this.key("kdeparams").seq().obj(this.key("salt").octstr(),this.key("iters").int())),this.key("cipher").seq().obj(this.key("algo").objid(),this.key("iv").octstr()))),this.key("subjectPrivateKey").octstr())});t.EncryptedPrivateKey=l;var c=r.define("DSAPrivateKey",function(){this.seq().obj(this.key("version").int(),this.key("p").int(),this.key("q").int(),this.key("g").int(),this.key("pub_key").int(),this.key("priv_key").int())});t.DSAPrivateKey=c,t.DSAparam=r.define("DSAparam",function(){this.int()});var f=r.define("ECPrivateKey",function(){this.seq().obj(this.key("version").int(),this.key("privateKey").octstr(),this.key("parameters").optional().explicit(0).use(p),this.key("publicKey").optional().explicit(1).bitstr())});t.ECPrivateKey=f;var p=r.define("ECParameters",function(){this.choice({namedCurve:this.objid()})});t.signature=r.define("signature",function(){this.seq().obj(this.key("r").int(),this.key("s").int())})},function(e,t,n){"use strict";var r=n(15),a=n(27).utils,i=a.assert,o=a.cachedProperty,s=a.parseBytes;function u(e,t){this.eddsa=e,"object"!=typeof t&&(t=s(t)),Array.isArray(t)&&(t={R:t.slice(0,e.encodingLength),S:t.slice(e.encodingLength)}),i(t.R&&t.S,"Signature without R or S"),e.isPoint(t.R)&&(this._R=t.R),t.S instanceof r&&(this._S=t.S),this._Rencoded=Array.isArray(t.R)?t.R:t.Rencoded,this._Sencoded=Array.isArray(t.S)?t.S:t.Sencoded}o(u,"S",function(){return this.eddsa.decodeInt(this.Sencoded())}),o(u,"R",function(){return this.eddsa.decodePoint(this.Rencoded())}),o(u,"Rencoded",function(){return this.eddsa.encodePoint(this.R())}),o(u,"Sencoded",function(){return this.eddsa.encodeInt(this.S())}),u.prototype.toBytes=function(){return this.Rencoded().concat(this.Sencoded())},u.prototype.toHex=function(){return a.encode(this.toBytes(),"hex").toUpperCase()},e.exports=u},function(e,t,n){"use strict";var r=n(27).utils,a=r.assert,i=r.parseBytes,o=r.cachedProperty;function s(e,t){this.eddsa=e,this._secret=i(t.secret),e.isPoint(t.pub)?this._pub=t.pub:this._pubBytes=i(t.pub)}s.fromPublic=function(e,t){return t instanceof s?t:new s(e,{pub:t})},s.fromSecret=function(e,t){return t instanceof s?t:new s(e,{secret:t})},s.prototype.secret=function(){return this._secret},o(s,"pubBytes",function(){return this.eddsa.encodePoint(this.pub())}),o(s,"pub",function(){return this._pubBytes?this.eddsa.decodePoint(this._pubBytes):this.eddsa.g.mul(this.priv())}),o(s,"privBytes",function(){var e=this.eddsa,t=this.hash(),n=e.encodingLength-1,r=t.slice(0,e.encodingLength);return r[0]&=248,r[n]&=127,r[n]|=64,r}),o(s,"priv",function(){return this.eddsa.decodeInt(this.privBytes())}),o(s,"hash",function(){return this.eddsa.hash().update(this.secret()).digest()}),o(s,"messagePrefix",function(){return this.hash().slice(this.eddsa.encodingLength)}),s.prototype.sign=function(e){return a(this._secret,"KeyPair can only verify"),this.eddsa.sign(e,this)},s.prototype.verify=function(e,t){return this.eddsa.verify(e,t,this)},s.prototype.getSecret=function(e){return a(this._secret,"KeyPair is public only"),r.encode(this.secret(),e)},s.prototype.getPublic=function(e){return r.encode(this.pubBytes(),e)},e.exports=s},function(e,t,n){"use strict";var r=n(146),a=n(27),i=a.utils,o=i.assert,s=i.parseBytes,u=n(411),l=n(410);function c(e){if(o("ed25519"===e,"only tested with ed25519 so far"),!(this instanceof c))return new c(e);e=a.curves[e].curve,this.curve=e,this.g=e.g,this.g.precompute(e.n.bitLength()+1),this.pointClass=e.point().constructor,this.encodingLength=Math.ceil(e.n.bitLength()/8),this.hash=r.sha512}e.exports=c,c.prototype.sign=function(e,t){e=s(e);var n=this.keyFromSecret(t),r=this.hashInt(n.messagePrefix(),e),a=this.g.mul(r),i=this.encodePoint(a),o=this.hashInt(i,n.pubBytes(),e).mul(n.priv()),u=r.add(o).umod(this.curve.n);return this.makeSignature({R:a,S:u,Rencoded:i})},c.prototype.verify=function(e,t,n){e=s(e),t=this.makeSignature(t);var r=this.keyFromPublic(n),a=this.hashInt(t.Rencoded(),r.pubBytes(),e),i=this.g.mul(t.S());return t.R().add(r.pub().mul(a)).eq(i)},c.prototype.hashInt=function(){for(var e=this.hash(),t=0;t<arguments.length;t++)e.update(arguments[t]);return i.intFromLE(e.digest()).umod(this.curve.n)},c.prototype.keyFromPublic=function(e){return u.fromPublic(this,e)},c.prototype.keyFromSecret=function(e){return u.fromSecret(this,e)},c.prototype.makeSignature=function(e){return e instanceof l?e:new l(this,e)},c.prototype.encodePoint=function(e){var t=e.getY().toArray("le",this.encodingLength);return t[this.encodingLength-1]|=e.getX().isOdd()?128:0,t},c.prototype.decodePoint=function(e){var t=(e=i.parseBytes(e)).length-1,n=e.slice(0,t).concat(-129&e[t]),r=0!=(128&e[t]),a=i.intFromLE(n);return this.curve.pointFromY(a,r)},c.prototype.encodeInt=function(e){return e.toArray("le",this.encodingLength)},c.prototype.decodeInt=function(e){return i.intFromLE(e)},c.prototype.isPoint=function(e){return e instanceof this.pointClass}},function(e,t,n){"use strict";var r=n(15),a=n(27).utils,i=a.assert;function o(e,t){if(e instanceof o)return e;this._importDER(e,t)||(i(e.r&&e.s,"Signature without r or s"),this.r=new r(e.r,16),this.s=new r(e.s,16),void 0===e.recoveryParam?this.recoveryParam=null:this.recoveryParam=e.recoveryParam)}function s(e,t){var n=e[t.place++];if(!(128&n))return n;for(var r=15&n,a=0,i=0,o=t.place;i<r;i++,o++)a<<=8,a|=e[o];return t.place=o,a}function u(e){for(var t=0,n=e.length-1;!e[t]&&!(128&e[t+1])&&t<n;)t++;return 0===t?e:e.slice(t)}function l(e,t){if(t<128)e.push(t);else{var n=1+(Math.log(t)/Math.LN2>>>3);for(e.push(128|n);--n;)e.push(t>>>(n<<3)&255);e.push(t)}}e.exports=o,o.prototype._importDER=function(e,t){e=a.toArray(e,t);var n=new function(){this.place=0};if(48!==e[n.place++])return!1;if(s(e,n)+n.place!==e.length)return!1;if(2!==e[n.place++])return!1;var i=s(e,n),o=e.slice(n.place,i+n.place);if(n.place+=i,2!==e[n.place++])return!1;var u=s(e,n);if(e.length!==u+n.place)return!1;var l=e.slice(n.place,u+n.place);return 0===o[0]&&128&o[1]&&(o=o.slice(1)),0===l[0]&&128&l[1]&&(l=l.slice(1)),this.r=new r(o),this.s=new r(l),this.recoveryParam=null,!0},o.prototype.toDER=function(e){var t=this.r.toArray(),n=this.s.toArray();for(128&t[0]&&(t=[0].concat(t)),128&n[0]&&(n=[0].concat(n)),t=u(t),n=u(n);!(n[0]||128&n[1]);)n=n.slice(1);var r=[2];l(r,t.length),(r=r.concat(t)).push(2),l(r,n.length);var i=r.concat(n),o=[48];return l(o,i.length),o=o.concat(i),a.encode(o,e)}},function(e,t,n){"use strict";var r=n(15),a=n(27).utils.assert;function i(e,t){this.ec=e,this.priv=null,this.pub=null,t.priv&&this._importPrivate(t.priv,t.privEnc),t.pub&&this._importPublic(t.pub,t.pubEnc)}e.exports=i,i.fromPublic=function(e,t,n){return t instanceof i?t:new i(e,{pub:t,pubEnc:n})},i.fromPrivate=function(e,t,n){return t instanceof i?t:new i(e,{priv:t,privEnc:n})},i.prototype.validate=function(){var e=this.getPublic();return e.isInfinity()?{result:!1,reason:"Invalid public key"}:e.validate()?e.mul(this.ec.curve.n).isInfinity()?{result:!0,reason:null}:{result:!1,reason:"Public key * N != O"}:{result:!1,reason:"Public key is not a point"}},i.prototype.getPublic=function(e,t){return"string"==typeof e&&(t=e,e=null),this.pub||(this.pub=this.ec.g.mul(this.priv)),t?this.pub.encode(t,e):this.pub},i.prototype.getPrivate=function(e){return"hex"===e?this.priv.toString(16,2):this.priv},i.prototype._importPrivate=function(e,t){this.priv=new r(e,t||16),this.priv=this.priv.umod(this.ec.curve.n)},i.prototype._importPublic=function(e,t){if(e.x||e.y)return"mont"===this.ec.curve.type?a(e.x,"Need x coordinate"):"short"!==this.ec.curve.type&&"edwards"!==this.ec.curve.type||a(e.x&&e.y,"Need both x and y coordinate"),void(this.pub=this.ec.curve.point(e.x,e.y));this.pub=this.ec.curve.decodePoint(e,t)},i.prototype.derive=function(e){return e.mul(this.priv).getX()},i.prototype.sign=function(e,t,n){return this.ec.sign(e,this,t,n)},i.prototype.verify=function(e,t){return this.ec.verify(e,t,this)},i.prototype.inspect=function(){return"<Key priv: "+(this.priv&&this.priv.toString(16,2))+" pub: "+(this.pub&&this.pub.inspect())+" >"}},function(e,t,n){"use strict";var r=n(146),a=n(230),i=n(31);function o(e){if(!(this instanceof o))return new o(e);this.hash=e.hash,this.predResist=!!e.predResist,this.outLen=this.hash.outSize,this.minEntropy=e.minEntropy||this.hash.hmacStrength,this._reseed=null,this.reseedInterval=null,this.K=null,this.V=null;var t=a.toArray(e.entropy,e.entropyEnc||"hex"),n=a.toArray(e.nonce,e.nonceEnc||"hex"),r=a.toArray(e.pers,e.persEnc||"hex");i(t.length>=this.minEntropy/8,"Not enough entropy. Minimum is: "+this.minEntropy+" bits"),this._init(t,n,r)}e.exports=o,o.prototype._init=function(e,t,n){var r=e.concat(t).concat(n);this.K=new Array(this.outLen/8),this.V=new Array(this.outLen/8);for(var a=0;a<this.V.length;a++)this.K[a]=0,this.V[a]=1;this._update(r),this._reseed=1,this.reseedInterval=281474976710656},o.prototype._hmac=function(){return new r.hmac(this.hash,this.K)},o.prototype._update=function(e){var t=this._hmac().update(this.V).update([0]);e&&(t=t.update(e)),this.K=t.digest(),this.V=this._hmac().update(this.V).digest(),e&&(this.K=this._hmac().update(this.V).update([1]).update(e).digest(),this.V=this._hmac().update(this.V).digest())},o.prototype.reseed=function(e,t,n,r){"string"!=typeof t&&(r=n,n=t,t=null),e=a.toArray(e,t),n=a.toArray(n,r),i(e.length>=this.minEntropy/8,"Not enough entropy. Minimum is: "+this.minEntropy+" bits"),this._update(e.concat(n||[])),this._reseed=1},o.prototype.generate=function(e,t,n,r){if(this._reseed>this.reseedInterval)throw new Error("Reseed is required");"string"!=typeof t&&(r=n,n=t,t=null),n&&(n=a.toArray(n,r||"hex"),this._update(n));for(var i=[];i.length<e;)this.V=this._hmac().update(this.V).digest(),i=i.concat(this.V);var o=i.slice(0,e);return this._update(n),this._reseed++,a.encode(o,t)}},function(e,t,n){"use strict";var r=n(15),a=n(415),i=n(27),o=i.utils.assert,s=n(414),u=n(413);function l(e){if(!(this instanceof l))return new l(e);"string"==typeof e&&(o(i.curves.hasOwnProperty(e),"Unknown curve "+e),e=i.curves[e]),e instanceof i.curves.PresetCurve&&(e={curve:e}),this.curve=e.curve.curve,this.n=this.curve.n,this.nh=this.n.ushrn(1),this.g=this.curve.g,this.g=e.curve.g,this.g.precompute(e.curve.n.bitLength()+1),this.hash=e.hash||e.curve.hash}e.exports=l,l.prototype.keyPair=function(e){return new s(this,e)},l.prototype.keyFromPrivate=function(e,t){return s.fromPrivate(this,e,t)},l.prototype.keyFromPublic=function(e,t){return s.fromPublic(this,e,t)},l.prototype.genKeyPair=function(e){e||(e={});for(var t=new a({hash:this.hash,pers:e.pers,persEnc:e.persEnc||"utf8",entropy:e.entropy||i.rand(this.hash.hmacStrength),entropyEnc:e.entropy&&e.entropyEnc||"utf8",nonce:this.n.toArray()}),n=this.n.byteLength(),o=this.n.sub(new r(2));;){var s=new r(t.generate(n));if(!(s.cmp(o)>0))return s.iaddn(1),this.keyFromPrivate(s)}},l.prototype._truncateToN=function(e,t){var n=8*e.byteLength()-this.n.bitLength();return n>0&&(e=e.ushrn(n)),!t&&e.cmp(this.n)>=0?e.sub(this.n):e},l.prototype.sign=function(e,t,n,i){"object"==typeof n&&(i=n,n=null),i||(i={}),t=this.keyFromPrivate(t,n),e=this._truncateToN(new r(e,16));for(var o=this.n.byteLength(),s=t.getPrivate().toArray("be",o),l=e.toArray("be",o),c=new a({hash:this.hash,entropy:s,nonce:l,pers:i.pers,persEnc:i.persEnc||"utf8"}),f=this.n.sub(new r(1)),p=0;;p++){var h=i.k?i.k(p):new r(c.generate(this.n.byteLength()));if(!((h=this._truncateToN(h,!0)).cmpn(1)<=0||h.cmp(f)>=0)){var d=this.g.mul(h);if(!d.isInfinity()){var m=d.getX(),g=m.umod(this.n);if(0!==g.cmpn(0)){var y=h.invm(this.n).mul(g.mul(t.getPrivate()).iadd(e));if(0!==(y=y.umod(this.n)).cmpn(0)){var v=(d.getY().isOdd()?1:0)|(0!==m.cmp(g)?2:0);return i.canonical&&y.cmp(this.nh)>0&&(y=this.n.sub(y),v^=1),new u({r:g,s:y,recoveryParam:v})}}}}}},l.prototype.verify=function(e,t,n,a){e=this._truncateToN(new r(e,16)),n=this.keyFromPublic(n,a);var i=(t=new u(t,"hex")).r,o=t.s;if(i.cmpn(1)<0||i.cmp(this.n)>=0)return!1;if(o.cmpn(1)<0||o.cmp(this.n)>=0)return!1;var s,l=o.invm(this.n),c=l.mul(e).umod(this.n),f=l.mul(i).umod(this.n);return this.curve._maxwellTrick?!(s=this.g.jmulAdd(c,n.getPublic(),f)).isInfinity()&&s.eqXToP(i):!(s=this.g.mulAdd(c,n.getPublic(),f)).isInfinity()&&0===s.getX().umod(this.n).cmp(i)},l.prototype.recoverPubKey=function(e,t,n,a){o((3&n)===n,"The recovery param is more than two bits"),t=new u(t,a);var i=this.n,s=new r(e),l=t.r,c=t.s,f=1&n,p=n>>1;if(l.cmp(this.curve.p.umod(this.curve.n))>=0&&p)throw new Error("Unable to find sencond key candinate");l=p?this.curve.pointFromX(l.add(this.curve.n),f):this.curve.pointFromX(l,f);var h=t.r.invm(i),d=i.sub(s).mul(h).umod(i),m=c.mul(h).umod(i);return this.g.mulAdd(d,l,m)},l.prototype.getKeyRecoveryParam=function(e,t,n,r){if(null!==(t=new u(t,r)).recoveryParam)return t.recoveryParam;for(var a=0;a<4;a++){var i;try{i=this.recoverPubKey(e,t,a)}catch(e){continue}if(i.eq(n))return a}throw new Error("Unable to find valid recovery 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r=n(45),a=n(93),i=n(229),o=r.rotl32,s=r.sum32,u=r.sum32_5,l=i.ft_1,c=a.BlockHash,f=[1518500249,1859775393,2400959708,3395469782];function p(){if(!(this instanceof p))return new p;c.call(this),this.h=[1732584193,4023233417,2562383102,271733878,3285377520],this.W=new Array(80)}r.inherits(p,c),e.exports=p,p.blockSize=512,p.outSize=160,p.hmacStrength=80,p.padLength=64,p.prototype._update=function(e,t){for(var n=this.W,r=0;r<16;r++)n[r]=e[t+r];for(;r<n.length;r++)n[r]=o(n[r-3]^n[r-8]^n[r-14]^n[r-16],1);var a=this.h[0],i=this.h[1],c=this.h[2],p=this.h[3],h=this.h[4];for(r=0;r<n.length;r++){var d=~~(r/20),m=u(o(a,5),l(d,i,c,p),h,n[r],f[d]);h=p,p=c,c=o(i,30),i=a,a=m}this.h[0]=s(this.h[0],a),this.h[1]=s(this.h[1],i),this.h[2]=s(this.h[2],c),this.h[3]=s(this.h[3],p),this.h[4]=s(this.h[4],h)},p.prototype._digest=function(e){return"hex"===e?r.toHex32(this.h,"big"):r.split32(this.h,"big")}},function(e,t,n){"use 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c(e,t,n,r,a){s.BasePoint.call(this,e,"projective"),null===t&&null===n&&null===r?(this.x=this.curve.zero,this.y=this.curve.one,this.z=this.curve.one,this.t=this.curve.zero,this.zOne=!0):(this.x=new i(t,16),this.y=new i(n,16),this.z=r?new i(r,16):this.curve.one,this.t=a&&new i(a,16),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)),this.t&&!this.t.red&&(this.t=this.t.toRed(this.curve.red)),this.zOne=this.z===this.curve.one,this.curve.extended&&!this.t&&(this.t=this.x.redMul(this.y),this.zOne||(this.t=this.t.redMul(this.z.redInvm()))))}o(l,s),e.exports=l,l.prototype._mulA=function(e){return this.mOneA?e.redNeg():this.a.redMul(e)},l.prototype._mulC=function(e){return this.oneC?e:this.c.redMul(e)},l.prototype.jpoint=function(e,t,n,r){return this.point(e,t,n,r)},l.prototype.pointFromX=function(e,t){(e=new i(e,16)).red||(e=e.toRed(this.red));var n=e.redSqr(),r=this.c2.redSub(this.a.redMul(n)),a=this.one.redSub(this.c2.redMul(this.d).redMul(n)),o=r.redMul(a.redInvm()),s=o.redSqrt();if(0!==s.redSqr().redSub(o).cmp(this.zero))throw new Error("invalid point");var u=s.fromRed().isOdd();return(t&&!u||!t&&u)&&(s=s.redNeg()),this.point(e,s)},l.prototype.pointFromY=function(e,t){(e=new i(e,16)).red||(e=e.toRed(this.red));var n=e.redSqr(),r=n.redSub(this.c2),a=n.redMul(this.d).redMul(this.c2).redSub(this.a),o=r.redMul(a.redInvm());if(0===o.cmp(this.zero)){if(t)throw new Error("invalid point");return this.point(this.zero,e)}var s=o.redSqrt();if(0!==s.redSqr().redSub(o).cmp(this.zero))throw new Error("invalid point");return s.fromRed().isOdd()!==t&&(s=s.redNeg()),this.point(s,e)},l.prototype.validate=function(e){if(e.isInfinity())return!0;e.normalize();var t=e.x.redSqr(),n=e.y.redSqr(),r=t.redMul(this.a).redAdd(n),a=this.c2.redMul(this.one.redAdd(this.d.redMul(t).redMul(n)));return 0===r.cmp(a)},o(c,s.BasePoint),l.prototype.pointFromJSON=function(e){return c.fromJSON(this,e)},l.prototype.point=function(e,t,n,r){return new c(this,e,t,n,r)},c.fromJSON=function(e,t){return new c(e,t[0],t[1],t[2])},c.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" y: "+this.y.fromRed().toString(16,2)+" z: "+this.z.fromRed().toString(16,2)+">"},c.prototype.isInfinity=function(){return 0===this.x.cmpn(0)&&(0===this.y.cmp(this.z)||this.zOne&&0===this.y.cmp(this.curve.c))},c.prototype._extDbl=function(){var e=this.x.redSqr(),t=this.y.redSqr(),n=this.z.redSqr();n=n.redIAdd(n);var r=this.curve._mulA(e),a=this.x.redAdd(this.y).redSqr().redISub(e).redISub(t),i=r.redAdd(t),o=i.redSub(n),s=r.redSub(t),u=a.redMul(o),l=i.redMul(s),c=a.redMul(s),f=o.redMul(i);return this.curve.point(u,l,f,c)},c.prototype._projDbl=function(){var e,t,n,r=this.x.redAdd(this.y).redSqr(),a=this.x.redSqr(),i=this.y.redSqr();if(this.curve.twisted){var o=(l=this.curve._mulA(a)).redAdd(i);if(this.zOne)e=r.redSub(a).redSub(i).redMul(o.redSub(this.curve.two)),t=o.redMul(l.redSub(i)),n=o.redSqr().redSub(o).redSub(o);else{var s=this.z.redSqr(),u=o.redSub(s).redISub(s);e=r.redSub(a).redISub(i).redMul(u),t=o.redMul(l.redSub(i)),n=o.redMul(u)}}else{var l=a.redAdd(i);s=this.curve._mulC(this.z).redSqr(),u=l.redSub(s).redSub(s),e=this.curve._mulC(r.redISub(l)).redMul(u),t=this.curve._mulC(l).redMul(a.redISub(i)),n=l.redMul(u)}return this.curve.point(e,t,n)},c.prototype.dbl=function(){return this.isInfinity()?this:this.curve.extended?this._extDbl():this._projDbl()},c.prototype._extAdd=function(e){var t=this.y.redSub(this.x).redMul(e.y.redSub(e.x)),n=this.y.redAdd(this.x).redMul(e.y.redAdd(e.x)),r=this.t.redMul(this.curve.dd).redMul(e.t),a=this.z.redMul(e.z.redAdd(e.z)),i=n.redSub(t),o=a.redSub(r),s=a.redAdd(r),u=n.redAdd(t),l=i.redMul(o),c=s.redMul(u),f=i.redMul(u),p=o.redMul(s);return this.curve.point(l,c,p,f)},c.prototype._projAdd=function(e){var t,n,r=this.z.redMul(e.z),a=r.redSqr(),i=this.x.redMul(e.x),o=this.y.redMul(e.y),s=this.curve.d.redMul(i).redMul(o),u=a.redSub(s),l=a.redAdd(s),c=this.x.redAdd(this.y).redMul(e.x.redAdd(e.y)).redISub(i).redISub(o),f=r.redMul(u).redMul(c);return this.curve.twisted?(t=r.redMul(l).redMul(o.redSub(this.curve._mulA(i))),n=u.redMul(l)):(t=r.redMul(l).redMul(o.redSub(i)),n=this.curve._mulC(u).redMul(l)),this.curve.point(f,t,n)},c.prototype.add=function(e){return this.isInfinity()?e:e.isInfinity()?this:this.curve.extended?this._extAdd(e):this._projAdd(e)},c.prototype.mul=function(e){return this._hasDoubles(e)?this.curve._fixedNafMul(this,e):this.curve._wnafMul(this,e)},c.prototype.mulAdd=function(e,t,n){return this.curve._wnafMulAdd(1,[this,t],[e,n],2,!1)},c.prototype.jmulAdd=function(e,t,n){return this.curve._wnafMulAdd(1,[this,t],[e,n],2,!0)},c.prototype.normalize=function(){if(this.zOne)return this;var e=this.z.redInvm();return this.x=this.x.redMul(e),this.y=this.y.redMul(e),this.t&&(this.t=this.t.redMul(e)),this.z=this.curve.one,this.zOne=!0,this},c.prototype.neg=function(){return this.curve.point(this.x.redNeg(),this.y,this.z,this.t&&this.t.redNeg())},c.prototype.getX=function(){return this.normalize(),this.x.fromRed()},c.prototype.getY=function(){return this.normalize(),this.y.fromRed()},c.prototype.eq=function(e){return this===e||0===this.getX().cmp(e.getX())&&0===this.getY().cmp(e.getY())},c.prototype.eqXToP=function(e){var t=e.toRed(this.curve.red).redMul(this.z);if(0===this.x.cmp(t))return!0;for(var n=e.clone(),r=this.curve.redN.redMul(this.z);;){if(n.iadd(this.curve.n),n.cmp(this.curve.p)>=0)return!1;if(t.redIAdd(r),0===this.x.cmp(t))return!0}},c.prototype.toP=c.prototype.normalize,c.prototype.mixedAdd=c.prototype.add},function(e,t,n){"use strict";var r=n(110),a=n(15),i=n(5),o=r.base,s=n(27).utils;function u(e){o.call(this,"mont",e),this.a=new a(e.a,16).toRed(this.red),this.b=new a(e.b,16).toRed(this.red),this.i4=new a(4).toRed(this.red).redInvm(),this.two=new a(2).toRed(this.red),this.a24=this.i4.redMul(this.a.redAdd(this.two))}function l(e,t,n){o.BasePoint.call(this,e,"projective"),null===t&&null===n?(this.x=this.curve.one,this.z=this.curve.zero):(this.x=new a(t,16),this.z=new a(n,16),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)))}i(u,o),e.exports=u,u.prototype.validate=function(e){var t=e.normalize().x,n=t.redSqr(),r=n.redMul(t).redAdd(n.redMul(this.a)).redAdd(t);return 0===r.redSqrt().redSqr().cmp(r)},i(l,o.BasePoint),u.prototype.decodePoint=function(e,t){return this.point(s.toArray(e,t),1)},u.prototype.point=function(e,t){return new l(this,e,t)},u.prototype.pointFromJSON=function(e){return l.fromJSON(this,e)},l.prototype.precompute=function(){},l.prototype._encode=function(){return this.getX().toArray("be",this.curve.p.byteLength())},l.fromJSON=function(e,t){return new l(e,t[0],t[1]||e.one)},l.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" z: "+this.z.fromRed().toString(16,2)+">"},l.prototype.isInfinity=function(){return 0===this.z.cmpn(0)},l.prototype.dbl=function(){var e=this.x.redAdd(this.z).redSqr(),t=this.x.redSub(this.z).redSqr(),n=e.redSub(t),r=e.redMul(t),a=n.redMul(t.redAdd(this.curve.a24.redMul(n)));return this.curve.point(r,a)},l.prototype.add=function(){throw new Error("Not supported on Montgomery curve")},l.prototype.diffAdd=function(e,t){var n=this.x.redAdd(this.z),r=this.x.redSub(this.z),a=e.x.redAdd(e.z),i=e.x.redSub(e.z).redMul(n),o=a.redMul(r),s=t.z.redMul(i.redAdd(o).redSqr()),u=t.x.redMul(i.redISub(o).redSqr());return this.curve.point(s,u)},l.prototype.mul=function(e){for(var t=e.clone(),n=this,r=this.curve.point(null,null),a=[];0!==t.cmpn(0);t.iushrn(1))a.push(t.andln(1));for(var i=a.length-1;i>=0;i--)0===a[i]?(n=n.diffAdd(r,this),r=r.dbl()):(r=n.diffAdd(r,this),n=n.dbl());return r},l.prototype.mulAdd=function(){throw new Error("Not supported on Montgomery curve")},l.prototype.jumlAdd=function(){throw new Error("Not supported on Montgomery curve")},l.prototype.eq=function(e){return 0===this.getX().cmp(e.getX())},l.prototype.normalize=function(){return this.x=this.x.redMul(this.z.redInvm()),this.z=this.curve.one,this},l.prototype.getX=function(){return this.normalize(),this.x.fromRed()}},function(e,t,n){"use strict";var r=n(110),a=n(27),i=n(15),o=n(5),s=r.base,u=a.utils.assert;function l(e){s.call(this,"short",e),this.a=new i(e.a,16).toRed(this.red),this.b=new i(e.b,16).toRed(this.red),this.tinv=this.two.redInvm(),this.zeroA=0===this.a.fromRed().cmpn(0),this.threeA=0===this.a.fromRed().sub(this.p).cmpn(-3),this.endo=this._getEndomorphism(e),this._endoWnafT1=new Array(4),this._endoWnafT2=new Array(4)}function c(e,t,n,r){s.BasePoint.call(this,e,"affine"),null===t&&null===n?(this.x=null,this.y=null,this.inf=!0):(this.x=new i(t,16),this.y=new i(n,16),r&&(this.x.forceRed(this.curve.red),this.y.forceRed(this.curve.red)),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.inf=!1)}function f(e,t,n,r){s.BasePoint.call(this,e,"jacobian"),null===t&&null===n&&null===r?(this.x=this.curve.one,this.y=this.curve.one,this.z=new i(0)):(this.x=new i(t,16),this.y=new i(n,16),this.z=new i(r,16)),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)),this.zOne=this.z===this.curve.one}o(l,s),e.exports=l,l.prototype._getEndomorphism=function(e){if(this.zeroA&&this.g&&this.n&&1===this.p.modn(3)){var t,n;if(e.beta)t=new i(e.beta,16).toRed(this.red);else{var r=this._getEndoRoots(this.p);t=(t=r[0].cmp(r[1])<0?r[0]:r[1]).toRed(this.red)}if(e.lambda)n=new i(e.lambda,16);else{var a=this._getEndoRoots(this.n);0===this.g.mul(a[0]).x.cmp(this.g.x.redMul(t))?n=a[0]:(n=a[1],u(0===this.g.mul(n).x.cmp(this.g.x.redMul(t))))}return{beta:t,lambda:n,basis:e.basis?e.basis.map(function(e){return{a:new i(e.a,16),b:new i(e.b,16)}}):this._getEndoBasis(n)}}},l.prototype._getEndoRoots=function(e){var t=e===this.p?this.red:i.mont(e),n=new i(2).toRed(t).redInvm(),r=n.redNeg(),a=new i(3).toRed(t).redNeg().redSqrt().redMul(n);return[r.redAdd(a).fromRed(),r.redSub(a).fromRed()]},l.prototype._getEndoBasis=function(e){for(var t,n,r,a,o,s,u,l,c,f=this.n.ushrn(Math.floor(this.n.bitLength()/2)),p=e,h=this.n.clone(),d=new i(1),m=new i(0),g=new i(0),y=new i(1),v=0;0!==p.cmpn(0);){var b=h.div(p);l=h.sub(b.mul(p)),c=g.sub(b.mul(d));var w=y.sub(b.mul(m));if(!r&&l.cmp(f)<0)t=u.neg(),n=d,r=l.neg(),a=c;else if(r&&2==++v)break;u=l,h=p,p=l,g=d,d=c,y=m,m=w}o=l.neg(),s=c;var x=r.sqr().add(a.sqr());return o.sqr().add(s.sqr()).cmp(x)>=0&&(o=t,s=n),r.negative&&(r=r.neg(),a=a.neg()),o.negative&&(o=o.neg(),s=s.neg()),[{a:r,b:a},{a:o,b:s}]},l.prototype._endoSplit=function(e){var t=this.endo.basis,n=t[0],r=t[1],a=r.b.mul(e).divRound(this.n),i=n.b.neg().mul(e).divRound(this.n),o=a.mul(n.a),s=i.mul(r.a),u=a.mul(n.b),l=i.mul(r.b);return{k1:e.sub(o).sub(s),k2:u.add(l).neg()}},l.prototype.pointFromX=function(e,t){(e=new i(e,16)).red||(e=e.toRed(this.red));var n=e.redSqr().redMul(e).redIAdd(e.redMul(this.a)).redIAdd(this.b),r=n.redSqrt();if(0!==r.redSqr().redSub(n).cmp(this.zero))throw new Error("invalid point");var a=r.fromRed().isOdd();return(t&&!a||!t&&a)&&(r=r.redNeg()),this.point(e,r)},l.prototype.validate=function(e){if(e.inf)return!0;var t=e.x,n=e.y,r=this.a.redMul(t),a=t.redSqr().redMul(t).redIAdd(r).redIAdd(this.b);return 0===n.redSqr().redISub(a).cmpn(0)},l.prototype._endoWnafMulAdd=function(e,t,n){for(var r=this._endoWnafT1,a=this._endoWnafT2,i=0;i<e.length;i++){var o=this._endoSplit(t[i]),s=e[i],u=s._getBeta();o.k1.negative&&(o.k1.ineg(),s=s.neg(!0)),o.k2.negative&&(o.k2.ineg(),u=u.neg(!0)),r[2*i]=s,r[2*i+1]=u,a[2*i]=o.k1,a[2*i+1]=o.k2}for(var l=this._wnafMulAdd(1,r,a,2*i,n),c=0;c<2*i;c++)r[c]=null,a[c]=null;return l},o(c,s.BasePoint),l.prototype.point=function(e,t,n){return new c(this,e,t,n)},l.prototype.pointFromJSON=function(e,t){return c.fromJSON(this,e,t)},c.prototype._getBeta=function(){if(this.curve.endo){var e=this.precomputed;if(e&&e.beta)return e.beta;var t=this.curve.point(this.x.redMul(this.curve.endo.beta),this.y);if(e){var n=this.curve,r=function(e){return n.point(e.x.redMul(n.endo.beta),e.y)};e.beta=t,t.precomputed={beta:null,naf:e.naf&&{wnd:e.naf.wnd,points:e.naf.points.map(r)},doubles:e.doubles&&{step:e.doubles.step,points:e.doubles.points.map(r)}}}return t}},c.prototype.toJSON=function(){return this.precomputed?[this.x,this.y,this.precomputed&&{doubles:this.precomputed.doubles&&{step:this.precomputed.doubles.step,points:this.precomputed.doubles.points.slice(1)},naf:this.precomputed.naf&&{wnd:this.precomputed.naf.wnd,points:this.precomputed.naf.points.slice(1)}}]:[this.x,this.y]},c.fromJSON=function(e,t,n){"string"==typeof t&&(t=JSON.parse(t));var r=e.point(t[0],t[1],n);if(!t[2])return r;function a(t){return e.point(t[0],t[1],n)}var i=t[2];return r.precomputed={beta:null,doubles:i.doubles&&{step:i.doubles.step,points:[r].concat(i.doubles.points.map(a))},naf:i.naf&&{wnd:i.naf.wnd,points:[r].concat(i.naf.points.map(a))}},r},c.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" y: "+this.y.fromRed().toString(16,2)+">"},c.prototype.isInfinity=function(){return this.inf},c.prototype.add=function(e){if(this.inf)return e;if(e.inf)return this;if(this.eq(e))return this.dbl();if(this.neg().eq(e))return this.curve.point(null,null);if(0===this.x.cmp(e.x))return this.curve.point(null,null);var t=this.y.redSub(e.y);0!==t.cmpn(0)&&(t=t.redMul(this.x.redSub(e.x).redInvm()));var n=t.redSqr().redISub(this.x).redISub(e.x),r=t.redMul(this.x.redSub(n)).redISub(this.y);return this.curve.point(n,r)},c.prototype.dbl=function(){if(this.inf)return this;var e=this.y.redAdd(this.y);if(0===e.cmpn(0))return this.curve.point(null,null);var t=this.curve.a,n=this.x.redSqr(),r=e.redInvm(),a=n.redAdd(n).redIAdd(n).redIAdd(t).redMul(r),i=a.redSqr().redISub(this.x.redAdd(this.x)),o=a.redMul(this.x.redSub(i)).redISub(this.y);return this.curve.point(i,o)},c.prototype.getX=function(){return this.x.fromRed()},c.prototype.getY=function(){return this.y.fromRed()},c.prototype.mul=function(e){return e=new i(e,16),this._hasDoubles(e)?this.curve._fixedNafMul(this,e):this.curve.endo?this.curve._endoWnafMulAdd([this],[e]):this.curve._wnafMul(this,e)},c.prototype.mulAdd=function(e,t,n){var r=[this,t],a=[e,n];return this.curve.endo?this.curve._endoWnafMulAdd(r,a):this.curve._wnafMulAdd(1,r,a,2)},c.prototype.jmulAdd=function(e,t,n){var r=[this,t],a=[e,n];return this.curve.endo?this.curve._endoWnafMulAdd(r,a,!0):this.curve._wnafMulAdd(1,r,a,2,!0)},c.prototype.eq=function(e){return this===e||this.inf===e.inf&&(this.inf||0===this.x.cmp(e.x)&&0===this.y.cmp(e.y))},c.prototype.neg=function(e){if(this.inf)return this;var t=this.curve.point(this.x,this.y.redNeg());if(e&&this.precomputed){var n=this.precomputed,r=function(e){return e.neg()};t.precomputed={naf:n.naf&&{wnd:n.naf.wnd,points:n.naf.points.map(r)},doubles:n.doubles&&{step:n.doubles.step,points:n.doubles.points.map(r)}}}return t},c.prototype.toJ=function(){return this.inf?this.curve.jpoint(null,null,null):this.curve.jpoint(this.x,this.y,this.curve.one)},o(f,s.BasePoint),l.prototype.jpoint=function(e,t,n){return new f(this,e,t,n)},f.prototype.toP=function(){if(this.isInfinity())return this.curve.point(null,null);var e=this.z.redInvm(),t=e.redSqr(),n=this.x.redMul(t),r=this.y.redMul(t).redMul(e);return this.curve.point(n,r)},f.prototype.neg=function(){return this.curve.jpoint(this.x,this.y.redNeg(),this.z)},f.prototype.add=function(e){if(this.isInfinity())return e;if(e.isInfinity())return this;var t=e.z.redSqr(),n=this.z.redSqr(),r=this.x.redMul(t),a=e.x.redMul(n),i=this.y.redMul(t.redMul(e.z)),o=e.y.redMul(n.redMul(this.z)),s=r.redSub(a),u=i.redSub(o);if(0===s.cmpn(0))return 0!==u.cmpn(0)?this.curve.jpoint(null,null,null):this.dbl();var l=s.redSqr(),c=l.redMul(s),f=r.redMul(l),p=u.redSqr().redIAdd(c).redISub(f).redISub(f),h=u.redMul(f.redISub(p)).redISub(i.redMul(c)),d=this.z.redMul(e.z).redMul(s);return this.curve.jpoint(p,h,d)},f.prototype.mixedAdd=function(e){if(this.isInfinity())return e.toJ();if(e.isInfinity())return this;var t=this.z.redSqr(),n=this.x,r=e.x.redMul(t),a=this.y,i=e.y.redMul(t).redMul(this.z),o=n.redSub(r),s=a.redSub(i);if(0===o.cmpn(0))return 0!==s.cmpn(0)?this.curve.jpoint(null,null,null):this.dbl();var u=o.redSqr(),l=u.redMul(o),c=n.redMul(u),f=s.redSqr().redIAdd(l).redISub(c).redISub(c),p=s.redMul(c.redISub(f)).redISub(a.redMul(l)),h=this.z.redMul(o);return this.curve.jpoint(f,p,h)},f.prototype.dblp=function(e){if(0===e)return this;if(this.isInfinity())return this;if(!e)return this.dbl();if(this.curve.zeroA||this.curve.threeA){for(var t=this,n=0;n<e;n++)t=t.dbl();return t}var r=this.curve.a,a=this.curve.tinv,i=this.x,o=this.y,s=this.z,u=s.redSqr().redSqr(),l=o.redAdd(o);for(n=0;n<e;n++){var c=i.redSqr(),f=l.redSqr(),p=f.redSqr(),h=c.redAdd(c).redIAdd(c).redIAdd(r.redMul(u)),d=i.redMul(f),m=h.redSqr().redISub(d.redAdd(d)),g=d.redISub(m),y=h.redMul(g);y=y.redIAdd(y).redISub(p);var v=l.redMul(s);n+1<e&&(u=u.redMul(p)),i=m,s=v,l=y}return this.curve.jpoint(i,l.redMul(a),s)},f.prototype.dbl=function(){return this.isInfinity()?this:this.curve.zeroA?this._zeroDbl():this.curve.threeA?this._threeDbl():this._dbl()},f.prototype._zeroDbl=function(){var e,t,n;if(this.zOne){var r=this.x.redSqr(),a=this.y.redSqr(),i=a.redSqr(),o=this.x.redAdd(a).redSqr().redISub(r).redISub(i);o=o.redIAdd(o);var s=r.redAdd(r).redIAdd(r),u=s.redSqr().redISub(o).redISub(o),l=i.redIAdd(i);l=(l=l.redIAdd(l)).redIAdd(l),e=u,t=s.redMul(o.redISub(u)).redISub(l),n=this.y.redAdd(this.y)}else{var c=this.x.redSqr(),f=this.y.redSqr(),p=f.redSqr(),h=this.x.redAdd(f).redSqr().redISub(c).redISub(p);h=h.redIAdd(h);var d=c.redAdd(c).redIAdd(c),m=d.redSqr(),g=p.redIAdd(p);g=(g=g.redIAdd(g)).redIAdd(g),e=m.redISub(h).redISub(h),t=d.redMul(h.redISub(e)).redISub(g),n=(n=this.y.redMul(this.z)).redIAdd(n)}return this.curve.jpoint(e,t,n)},f.prototype._threeDbl=function(){var e,t,n;if(this.zOne){var r=this.x.redSqr(),a=this.y.redSqr(),i=a.redSqr(),o=this.x.redAdd(a).redSqr().redISub(r).redISub(i);o=o.redIAdd(o);var s=r.redAdd(r).redIAdd(r).redIAdd(this.curve.a),u=s.redSqr().redISub(o).redISub(o);e=u;var l=i.redIAdd(i);l=(l=l.redIAdd(l)).redIAdd(l),t=s.redMul(o.redISub(u)).redISub(l),n=this.y.redAdd(this.y)}else{var c=this.z.redSqr(),f=this.y.redSqr(),p=this.x.redMul(f),h=this.x.redSub(c).redMul(this.x.redAdd(c));h=h.redAdd(h).redIAdd(h);var d=p.redIAdd(p),m=(d=d.redIAdd(d)).redAdd(d);e=h.redSqr().redISub(m),n=this.y.redAdd(this.z).redSqr().redISub(f).redISub(c);var g=f.redSqr();g=(g=(g=g.redIAdd(g)).redIAdd(g)).redIAdd(g),t=h.redMul(d.redISub(e)).redISub(g)}return this.curve.jpoint(e,t,n)},f.prototype._dbl=function(){var e=this.curve.a,t=this.x,n=this.y,r=this.z,a=r.redSqr().redSqr(),i=t.redSqr(),o=n.redSqr(),s=i.redAdd(i).redIAdd(i).redIAdd(e.redMul(a)),u=t.redAdd(t),l=(u=u.redIAdd(u)).redMul(o),c=s.redSqr().redISub(l.redAdd(l)),f=l.redISub(c),p=o.redSqr();p=(p=(p=p.redIAdd(p)).redIAdd(p)).redIAdd(p);var h=s.redMul(f).redISub(p),d=n.redAdd(n).redMul(r);return this.curve.jpoint(c,h,d)},f.prototype.trpl=function(){if(!this.curve.zeroA)return this.dbl().add(this);var e=this.x.redSqr(),t=this.y.redSqr(),n=this.z.redSqr(),r=t.redSqr(),a=e.redAdd(e).redIAdd(e),i=a.redSqr(),o=this.x.redAdd(t).redSqr().redISub(e).redISub(r),s=(o=(o=(o=o.redIAdd(o)).redAdd(o).redIAdd(o)).redISub(i)).redSqr(),u=r.redIAdd(r);u=(u=(u=u.redIAdd(u)).redIAdd(u)).redIAdd(u);var l=a.redIAdd(o).redSqr().redISub(i).redISub(s).redISub(u),c=t.redMul(l);c=(c=c.redIAdd(c)).redIAdd(c);var f=this.x.redMul(s).redISub(c);f=(f=f.redIAdd(f)).redIAdd(f);var p=this.y.redMul(l.redMul(u.redISub(l)).redISub(o.redMul(s)));p=(p=(p=p.redIAdd(p)).redIAdd(p)).redIAdd(p);var h=this.z.redAdd(o).redSqr().redISub(n).redISub(s);return this.curve.jpoint(f,p,h)},f.prototype.mul=function(e,t){return e=new i(e,t),this.curve._wnafMul(this,e)},f.prototype.eq=function(e){if("affine"===e.type)return this.eq(e.toJ());if(this===e)return!0;var t=this.z.redSqr(),n=e.z.redSqr();if(0!==this.x.redMul(n).redISub(e.x.redMul(t)).cmpn(0))return!1;var r=t.redMul(this.z),a=n.redMul(e.z);return 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Array(4),this._wnafT4=new Array(4);var n=this.n&&this.p.div(this.n);!n||n.cmpn(100)>0?this.redN=null:(this._maxwellTrick=!0,this.redN=this.n.toRed(this.red))}function l(e,t){this.curve=e,this.type=t,this.precomputed=null}e.exports=u,u.prototype.point=function(){throw new Error("Not implemented")},u.prototype.validate=function(){throw new Error("Not implemented")},u.prototype._fixedNafMul=function(e,t){s(e.precomputed);var n=e._getDoubles(),r=i(t,1),a=(1<<n.step+1)-(n.step%2==0?2:1);a/=3;for(var o=[],u=0;u<r.length;u+=n.step){var l=0;for(t=u+n.step-1;t>=u;t--)l=(l<<1)+r[t];o.push(l)}for(var c=this.jpoint(null,null,null),f=this.jpoint(null,null,null),p=a;p>0;p--){for(u=0;u<o.length;u++)(l=o[u])===p?f=f.mixedAdd(n.points[u]):l===-p&&(f=f.mixedAdd(n.points[u].neg()));c=c.add(f)}return c.toP()},u.prototype._wnafMul=function(e,t){var n=4,r=e._getNAFPoints(n);n=r.wnd;for(var a=r.points,o=i(t,n),u=this.jpoint(null,null,null),l=o.length-1;l>=0;l--){for(t=0;l>=0&&0===o[l];l--)t++;if(l>=0&&t++,u=u.dblp(t),l<0)break;var c=o[l];s(0!==c),u="affine"===e.type?c>0?u.mixedAdd(a[c-1>>1]):u.mixedAdd(a[-c-1>>1].neg()):c>0?u.add(a[c-1>>1]):u.add(a[-c-1>>1].neg())}return"affine"===e.type?u.toP():u},u.prototype._wnafMulAdd=function(e,t,n,r,a){for(var s=this._wnafT1,u=this._wnafT2,l=this._wnafT3,c=0,f=0;f<r;f++){var p=(S=t[f])._getNAFPoints(e);s[f]=p.wnd,u[f]=p.points}for(f=r-1;f>=1;f-=2){var h=f-1,d=f;if(1===s[h]&&1===s[d]){var m=[t[h],null,null,t[d]];0===t[h].y.cmp(t[d].y)?(m[1]=t[h].add(t[d]),m[2]=t[h].toJ().mixedAdd(t[d].neg())):0===t[h].y.cmp(t[d].y.redNeg())?(m[1]=t[h].toJ().mixedAdd(t[d]),m[2]=t[h].add(t[d].neg())):(m[1]=t[h].toJ().mixedAdd(t[d]),m[2]=t[h].toJ().mixedAdd(t[d].neg()));var g=[-3,-1,-5,-7,0,7,5,1,3],y=o(n[h],n[d]);c=Math.max(y[0].length,c),l[h]=new Array(c),l[d]=new Array(c);for(var v=0;v<c;v++){var b=0|y[0][v],w=0|y[1][v];l[h][v]=g[3*(b+1)+(w+1)],l[d][v]=0,u[h]=m}}else l[h]=i(n[h],s[h]),l[d]=i(n[d],s[d]),c=Math.max(l[h].length,c),c=Math.max(l[d].length,c)}var x=this.jpoint(null,null,null),_=this._wnafT4;for(f=c;f>=0;f--){for(var E=0;f>=0;){var N=!0;for(v=0;v<r;v++)_[v]=0|l[v][f],0!==_[v]&&(N=!1);if(!N)break;E++,f--}if(f>=0&&E++,x=x.dblp(E),f<0)break;for(v=0;v<r;v++){var S,O=_[v];0!==O&&(O>0?S=u[v][O-1>>1]:O<0&&(S=u[v][-O-1>>1].neg()),x="affine"===S.type?x.mixedAdd(S):x.add(S))}}for(f=0;f<r;f++)u[f]=null;return a?x:x.toP()},u.BasePoint=l,l.prototype.eq=function(){throw new Error("Not implemented")},l.prototype.validate=function(){return this.curve.validate(this)},u.prototype.decodePoint=function(e,t){e=a.toArray(e,t);var n=this.p.byteLength();if((4===e[0]||6===e[0]||7===e[0])&&e.length-1==2*n)return 6===e[0]?s(e[e.length-1]%2==0):7===e[0]&&s(e[e.length-1]%2==1),this.point(e.slice(1,1+n),e.slice(1+n,1+2*n));if((2===e[0]||3===e[0])&&e.length-1===n)return this.pointFromX(e.slice(1,1+n),3===e[0]);throw new Error("Unknown point format")},l.prototype.encodeCompressed=function(e){return this.encode(e,!0)},l.prototype._encode=function(e){var t=this.curve.p.byteLength(),n=this.getX().toArray("be",t);return e?[this.getY().isEven()?2:3].concat(n):[4].concat(n,this.getY().toArray("be",t))},l.prototype.encode=function(e,t){return a.encode(this._encode(t),e)},l.prototype.precompute=function(e){if(this.precomputed)return this;var t={doubles:null,naf:null,beta:null};return t.naf=this._getNAFPoints(8),t.doubles=this._getDoubles(4,e),t.beta=this._getBeta(),this.precomputed=t,this},l.prototype._hasDoubles=function(e){if(!this.precomputed)return!1;var t=this.precomputed.doubles;return!!t&&t.points.length>=Math.ceil((e.bitLength()+1)/t.step)},l.prototype._getDoubles=function(e,t){if(this.precomputed&&this.precomputed.doubles)return this.precomputed.doubles;for(var n=[this],r=this,a=0;a<t;a+=e){for(var 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r=n(245),a=n(147),i=n(27).ec,o=n(15),s=n(109),u=n(222);function l(e,n,a,i){if((e=new t(e.toArray())).length<n.byteLength()){var o=new t(n.byteLength()-e.length);o.fill(0),e=t.concat([o,e])}var s=a.length,u=function(e,n){e=(e=c(e,n)).mod(n);var r=new t(e.toArray());if(r.length<n.byteLength()){var a=new t(n.byteLength()-r.length);a.fill(0),r=t.concat([a,r])}return r}(a,n),l=new t(s);l.fill(1);var f=new t(s);return f.fill(0),f=r(i,f).update(l).update(new t([0])).update(e).update(u).digest(),l=r(i,f).update(l).digest(),{k:f=r(i,f).update(l).update(new t([1])).update(e).update(u).digest(),v:l=r(i,f).update(l).digest()}}function c(e,t){var n=new o(e),r=(e.length<<3)-t.bitLength();return r>0&&n.ishrn(r),n}function f(e,n,a){var i,o;do{for(i=new t(0);8*i.length<e.bitLength();)n.v=r(a,n.k).update(n.v).digest(),i=t.concat([i,n.v]);o=c(i,e),n.k=r(a,n.k).update(n.v).update(new t([0])).digest(),n.v=r(a,n.k).update(n.v).digest()}while(-1!==o.cmp(e));return o}function p(e,t,n,r){return e.toRed(o.mont(n)).redPow(t).fromRed().mod(r)}e.exports=function(e,n,r,h,d){var m=s(n);if(m.curve){if("ecdsa"!==h&&"ecdsa/rsa"!==h)throw new Error("wrong private key type");return function(e,n){var r=u[n.curve.join(".")];if(!r)throw new Error("unknown curve "+n.curve.join("."));var a=new i(r).keyFromPrivate(n.privateKey).sign(e);return new t(a.toDER())}(e,m)}if("dsa"===m.type){if("dsa"!==h)throw new Error("wrong private key type");return function(e,n,r){for(var a,i=n.params.priv_key,s=n.params.p,u=n.params.q,h=n.params.g,d=new o(0),m=c(e,u).mod(u),g=!1,y=l(i,u,e,r);!1===g;)d=p(h,a=f(u,y,r),s,u),0===(g=a.invm(u).imul(m.add(i.mul(d))).mod(u)).cmpn(0)&&(g=!1,d=new o(0));return function(e,n){e=e.toArray(),n=n.toArray(),128&e[0]&&(e=[0].concat(e)),128&n[0]&&(n=[0].concat(n));var r=[48,e.length+n.length+4,2,e.length];return r=r.concat(e,[2,n.length],n),new t(r)}(d,g)}(e,m,r)}if("rsa"!==h&&"ecdsa/rsa"!==h)throw new Error("wrong private key type");e=t.concat([d,e]);for(var g=m.modulus.byteLength(),y=[0,1];e.length+y.length+1<g;)y.push(255);y.push(0);for(var v=-1;++v<e.length;)y.push(e[v]);return a(y,m)},e.exports.getKey=l,e.exports.makeKey=f}).call(this,n(16).Buffer)},function(e,t,n){(function(t){var r=n(96),a=n(156),i=n(5),o=n(431),s=n(395),u=n(243);function l(e){a.Writable.call(this);var t=u[e];if(!t)throw new Error("Unknown message digest");this._hashType=t.hash,this._hash=r(t.hash),this._tag=t.id,this._signType=t.sign}function c(e){a.Writable.call(this);var t=u[e];if(!t)throw new Error("Unknown message digest");this._hash=r(t.hash),this._tag=t.id,this._signType=t.sign}function f(e){return new l(e)}function p(e){return new c(e)}Object.keys(u).forEach(function(e){u[e].id=new t(u[e].id,"hex"),u[e.toLowerCase()]=u[e]}),i(l,a.Writable),l.prototype._write=function(e,t,n){this._hash.update(e),n()},l.prototype.update=function(e,n){return"string"==typeof e&&(e=new t(e,n)),this._hash.update(e),this},l.prototype.sign=function(e,t){this.end();var 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0,this._primeCode=void 0,n?(this.setPublicKey=p,this.setPrivateKey=h):this._primeCode=8}function g(e,n){var r=new t(e.toArray());return n?r.toString(n):r}Object.defineProperty(m.prototype,"verifyError",{enumerable:!0,get:function(){return"number"!=typeof this._primeCode&&(this._primeCode=function(e,t){var n=t.toString("hex"),r=[n,e.toString(16)].join("_");if(r in d)return d[r];var f,p=0;if(e.isEven()||!c.simpleSieve||!c.fermatTest(e)||!a.test(e))return p+=1,p+="02"===n||"05"===n?8:4,d[r]=p,p;switch(a.test(e.shrn(1))||(p+=2),n){case"02":e.mod(i).cmp(o)&&(p+=8);break;case"05":(f=e.mod(s)).cmp(u)&&f.cmp(l)&&(p+=8);break;default:p+=4}return d[r]=p,p}(this.__prime,this.__gen)),this._primeCode}}),m.prototype.generateKeys=function(){return this._priv||(this._priv=new r(f(this._primeLen))),this._pub=this._gen.toRed(this._prime).redPow(this._priv).fromRed(),this.getPublicKey()},m.prototype.computeSecret=function(e){var n=(e=(e=new r(e)).toRed(this._prime)).redPow(this._priv).fromRed(),a=new t(n.toArray()),i=this.getPrime();if(a.length<i.length){var o=new t(i.length-a.length);o.fill(0),a=t.concat([o,a])}return a},m.prototype.getPublicKey=function(e){return g(this._pub,e)},m.prototype.getPrivateKey=function(e){return g(this._priv,e)},m.prototype.getPrime=function(e){return g(this.__prime,e)},m.prototype.getGenerator=function(e){return g(this._gen,e)},m.prototype.setGenerator=function(e,n){return n=n||"utf8",t.isBuffer(e)||(e=new t(e,n)),this.__gen=e,this._gen=new r(e),this}}).call(this,n(16).Buffer)},function(e){e.exports={modp1:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a63a3620ffffffffffffffff"},modp2:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece65381ffffffffffffffff"},modp5:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece45b3dc2007cb8a163bf0598da48361c55d39a69163fa8fd24cf5f83655d23dca3ad961c62f356208552bb9ed529077096966d670c354e4abc9804f1746c08ca237327ffffffffffffffff"},modp14:{gen:"02",prime:"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"},modp15:{gen:"02",prime:"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"},modp16:{gen:"02",prime:"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"},modp17:{gen:"02",prime:"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"},modp18:{gen:"02",prime:"ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088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e.webpackPolyfill||(e.deprecate=function(){},e.paths=[],e.children||(e.children=[]),Object.defineProperty(e,"loaded",{enumerable:!0,get:function(){return e.l}}),Object.defineProperty(e,"id",{enumerable:!0,get:function(){return e.i}}),e.webpackPolyfill=1),e}},function(e,t,n){(function(e){var r=n(233),a=n(434),i=n(433),o={binary:!0,hex:!0,base64:!0};t.DiffieHellmanGroup=t.createDiffieHellmanGroup=t.getDiffieHellman=function(t){var n=new e(a[t].prime,"hex"),r=new e(a[t].gen,"hex");return new i(n,r)},t.createDiffieHellman=t.DiffieHellman=function t(n,a,s,u){return e.isBuffer(a)||void 0===o[a]?t(n,"binary",a,s):(a=a||"binary",u=u||"binary",s=s||new e([2]),e.isBuffer(s)||(s=new e(s,u)),"number"==typeof n?new i(r(n,s),s,!0):(e.isBuffer(n)||(n=new e(n,a)),new i(n,s,!0)))}}).call(this,n(16).Buffer)},function(e,t){t["des-ecb"]={key:8,iv:0},t["des-cbc"]=t.des={key:8,iv:8},t["des-ede3-cbc"]=t.des3={key:24,iv:8},t["des-ede3"]={key:24,iv:0},t["des-ede-cbc"]={key:16,iv:8},t["des-ede"]={key:16,iv:0}},function(e,t,n){var r=n(235),a=n(6).Buffer,i=n(148),o=n(234),s=n(56),u=n(112),l=n(111);function c(e,t,n){s.call(this),this._cache=new f,this._last=void 0,this._cipher=new u.AES(t),this._prev=a.from(n),this._mode=e,this._autopadding=!0}function f(){this.cache=a.allocUnsafe(0)}function p(e,t,n){var s=i[e.toLowerCase()];if(!s)throw new TypeError("invalid suite type");if("string"==typeof n&&(n=a.from(n)),"GCM"!==s.mode&&n.length!==s.iv)throw new TypeError("invalid iv length "+n.length);if("string"==typeof t&&(t=a.from(t)),t.length!==s.key/8)throw new TypeError("invalid key length "+t.length);return"stream"===s.type?new o(s.module,t,n,!0):"auth"===s.type?new r(s.module,t,n,!0):new c(s.module,t,n)}n(5)(c,s),c.prototype._update=function(e){var 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n=i[e.toLowerCase()];if(!n)throw new TypeError("invalid suite type");var r=l(t,!1,n.key,n.iv);return p(e,r.key,r.iv)},t.createDecipheriv=p},function(e,t,n){var r=n(6).Buffer,a=r.alloc(16,0);function i(e){var t=r.allocUnsafe(16);return t.writeUInt32BE(e[0]>>>0,0),t.writeUInt32BE(e[1]>>>0,4),t.writeUInt32BE(e[2]>>>0,8),t.writeUInt32BE(e[3]>>>0,12),t}function o(e){this.h=e,this.state=r.alloc(16,0),this.cache=r.allocUnsafe(0)}o.prototype.ghash=function(e){for(var t=-1;++t<e.length;)this.state[t]^=e[t];this._multiply()},o.prototype._multiply=function(){for(var e,t,n=function(e){return[e.readUInt32BE(0),e.readUInt32BE(4),e.readUInt32BE(8),e.readUInt32BE(12)]}(this.h),r=[0,0,0,0],a=-1;++a<128;){for(0!=(this.state[~~(a/8)]&1<<7-a%8)&&(r[0]^=n[0],r[1]^=n[1],r[2]^=n[2],r[3]^=n[3]),t=0!=(1&n[3]),e=3;e>0;e--)n[e]=n[e]>>>1|(1&n[e-1])<<31;n[0]=n[0]>>>1,t&&(n[0]=n[0]^225<<24)}this.state=i(r)},o.prototype.update=function(e){var t;for(this.cache=r.concat([this.cache,e]);this.cache.length>=16;)t=this.cache.slice(0,16),this.cache=this.cache.slice(16),this.ghash(t)},o.prototype.final=function(e,t){return this.cache.length&&this.ghash(r.concat([this.cache,a],16)),this.ghash(i([0,e,0,t])),this.state},e.exports=o},function(e,t,n){(function(e){var r=n(94);function a(e){return e._prev=e._cipher.encryptBlock(e._prev),e._prev}t.encrypt=function(t,n){for(;t._cache.length<n.length;)t._cache=e.concat([t._cache,a(t)]);var i=t._cache.slice(0,n.length);return t._cache=t._cache.slice(n.length),r(n,i)}}).call(this,n(16).Buffer)},function(e,t,n){var r=n(6).Buffer;function a(e,t,n){for(var r,a,o,s=-1,u=0;++s<8;)r=e._cipher.encryptBlock(e._prev),a=t&1<<7-s?128:0,u+=(128&(o=r[0]^a))>>s%8,e._prev=i(e._prev,n?a:o);return u}function i(e,t){var n=e.length,a=-1,i=r.allocUnsafe(e.length);for(e=r.concat([e,r.from([t])]);++a<n;)i[a]=e[a]<<1|e[a+1]>>7;return i}t.encrypt=function(e,t,n){for(var i=t.length,o=r.allocUnsafe(i),s=-1;++s<i;)o[s]=a(e,t[s],n);return o}},function(e,t,n){var r=n(6).Buffer;function a(e,t,n){var a=e._cipher.encryptBlock(e._prev)[0]^t;return e._prev=r.concat([e._prev.slice(1),r.from([n?t:a])]),a}t.encrypt=function(e,t,n){for(var i=t.length,o=r.allocUnsafe(i),s=-1;++s<i;)o[s]=a(e,t[s],n);return o}},function(e,t,n){var r=n(6).Buffer,a=n(94);function i(e,t,n){var i=t.length,o=a(t,e._cache);return e._cache=e._cache.slice(i),e._prev=r.concat([e._prev,n?t:o]),o}t.encrypt=function(e,t,n){for(var a,o=r.allocUnsafe(0);t.length;){if(0===e._cache.length&&(e._cache=e._cipher.encryptBlock(e._prev),e._prev=r.allocUnsafe(0)),!(e._cache.length<=t.length)){o=r.concat([o,i(e,t,n)]);break}a=e._cache.length,o=r.concat([o,i(e,t.slice(0,a),n)]),t=t.slice(a)}return o}},function(e,t,n){var r=n(94);t.encrypt=function(e,t){var n=r(t,e._prev);return e._prev=e._cipher.encryptBlock(n),e._prev},t.decrypt=function(e,t){var n=e._prev;e._prev=t;var a=e._cipher.decryptBlock(t);return r(a,n)}},function(e,t){t.encrypt=function(e,t){return e._cipher.encryptBlock(t)},t.decrypt=function(e,t){return e._cipher.decryptBlock(t)}},function(e,t,n){var r=n(148),a=n(235),i=n(6).Buffer,o=n(234),s=n(56),u=n(112),l=n(111);function c(e,t,n){s.call(this),this._cache=new p,this._cipher=new u.AES(t),this._prev=i.from(n),this._mode=e,this._autopadding=!0}n(5)(c,s),c.prototype._update=function(e){var t,n;this._cache.add(e);for(var r=[];t=this._cache.get();)n=this._mode.encrypt(this,t),r.push(n);return i.concat(r)};var f=i.alloc(16,16);function p(){this.cache=i.allocUnsafe(0)}function h(e,t,n){var s=r[e.toLowerCase()];if(!s)throw new TypeError("invalid suite type");if("string"==typeof t&&(t=i.from(t)),t.length!==s.key/8)throw new TypeError("invalid key length "+t.length);if("string"==typeof n&&(n=i.from(n)),"GCM"!==s.mode&&n.length!==s.iv)throw new TypeError("invalid iv length "+n.length);return"stream"===s.type?new o(s.module,t,n):"auth"===s.type?new a(s.module,t,n):new c(s.module,t,n)}c.prototype._final=function(){var e=this._cache.flush();if(this._autopadding)return e=this._mode.encrypt(this,e),this._cipher.scrub(),e;if(!e.equals(f))throw this._cipher.scrub(),new Error("data not multiple of block length")},c.prototype.setAutoPadding=function(e){return this._autopadding=!!e,this},p.prototype.add=function(e){this.cache=i.concat([this.cache,e])},p.prototype.get=function(){if(this.cache.length>15){var e=this.cache.slice(0,16);return this.cache=this.cache.slice(16),e}return null},p.prototype.flush=function(){for(var e=16-this.cache.length,t=i.allocUnsafe(e),n=-1;++n<e;)t.writeUInt8(e,n);return i.concat([this.cache,t])},t.createCipheriv=h,t.createCipher=function(e,t){var n=r[e.toLowerCase()];if(!n)throw new TypeError("invalid suite type");var a=l(t,!1,n.key,n.iv);return h(e,a.key,a.iv)}},function(e,t,n){"use strict";var r=n(31),a=n(5),i=n(150),o=i.Cipher,s=i.DES;function u(e){o.call(this,e);var t=new function(e,t){r.equal(t.length,24,"Invalid key length");var n=t.slice(0,8),a=t.slice(8,16),i=t.slice(16,24);this.ciphers="encrypt"===e?[s.create({type:"encrypt",key:n}),s.create({type:"decrypt",key:a}),s.create({type:"encrypt",key:i})]:[s.create({type:"decrypt",key:i}),s.create({type:"encrypt",key:a}),s.create({type:"decrypt",key:n})]}(this.type,this.options.key);this._edeState=t}a(u,o),e.exports=u,u.create=function(e){return new u(e)},u.prototype._update=function(e,t,n,r){var a=this._edeState;a.ciphers[0]._update(e,t,n,r),a.ciphers[1]._update(n,r,n,r),a.ciphers[2]._update(n,r,n,r)},u.prototype._pad=s.prototype._pad,u.prototype._unpad=s.prototype._unpad},function(e,t,n){"use strict";var r=n(31),a=n(5),i={};t.instantiate=function(e){function t(t){e.call(this,t),this._cbcInit()}a(t,e);for(var n=Object.keys(i),r=0;r<n.length;r++){var o=n[r];t.prototype[o]=i[o]}return t.create=function(e){return new t(e)},t},i._cbcInit=function(){var e=new function(e){r.equal(e.length,8,"Invalid IV length"),this.iv=new Array(8);for(var t=0;t<this.iv.length;t++)this.iv[t]=e[t]}(this.options.iv);this._cbcState=e},i._update=function(e,t,n,r){var a=this._cbcState,i=this.constructor.super_.prototype,o=a.iv;if("encrypt"===this.type){for(var s=0;s<this.blockSize;s++)o[s]^=e[t+s];for(i._update.call(this,o,0,n,r),s=0;s<this.blockSize;s++)o[s]=n[r+s]}else{for(i._update.call(this,e,t,n,r),s=0;s<this.blockSize;s++)n[r+s]^=o[s];for(s=0;s<this.blockSize;s++)o[s]=e[t+s]}}},function(e,t,n){"use strict";var r=n(31),a=n(5),i=n(150),o=i.utils,s=i.Cipher;function u(e){s.call(this,e);var t=new function(){this.tmp=new Array(2),this.keys=null};this._desState=t,this.deriveKeys(t,e.key)}a(u,s),e.exports=u,u.create=function(e){return new u(e)};var l=[1,1,2,2,2,2,2,2,1,2,2,2,2,2,2,1];u.prototype.deriveKeys=function(e,t){e.keys=new Array(32),r.equal(t.length,this.blockSize,"Invalid key length");var n=o.readUInt32BE(t,0),a=o.readUInt32BE(t,4);o.pc1(n,a,e.tmp,0),n=e.tmp[0],a=e.tmp[1];for(var i=0;i<e.keys.length;i+=2){var s=l[i>>>1];n=o.r28shl(n,s),a=o.r28shl(a,s),o.pc2(n,a,e.keys,i)}},u.prototype._update=function(e,t,n,r){var a=this._desState,i=o.readUInt32BE(e,t),s=o.readUInt32BE(e,t+4);o.ip(i,s,a.tmp,0),i=a.tmp[0],s=a.tmp[1],"encrypt"===this.type?this._encrypt(a,i,s,a.tmp,0):this._decrypt(a,i,s,a.tmp,0),i=a.tmp[0],s=a.tmp[1],o.writeUInt32BE(n,i,r),o.writeUInt32BE(n,s,r+4)},u.prototype._pad=function(e,t){for(var n=e.length-t,r=t;r<e.length;r++)e[r]=n;return!0},u.prototype._unpad=function(e){for(var t=e[e.length-1],n=e.length-t;n<e.length;n++)r.equal(e[n],t);return e.slice(0,e.length-t)},u.prototype._encrypt=function(e,t,n,r,a){for(var i=t,s=n,u=0;u<e.keys.length;u+=2){var l=e.keys[u],c=e.keys[u+1];o.expand(s,e.tmp,0),l^=e.tmp[0],c^=e.tmp[1];var f=o.substitute(l,c),p=s;s=(i^o.permute(f))>>>0,i=p}o.rip(s,i,r,a)},u.prototype._decrypt=function(e,t,n,r,a){for(var i=n,s=t,u=e.keys.length-2;u>=0;u-=2){var l=e.keys[u],c=e.keys[u+1];o.expand(i,e.tmp,0),l^=e.tmp[0],c^=e.tmp[1];var f=o.substitute(l,c),p=i;i=(s^o.permute(f))>>>0,s=p}o.rip(i,s,r,a)}},function(e,t,n){"use strict";var r=n(31);function a(e){this.options=e,this.type=this.options.type,this.blockSize=8,this._init(),this.buffer=new Array(this.blockSize),this.bufferOff=0}e.exports=a,a.prototype._init=function(){},a.prototype.update=function(e){return 0===e.length?[]:"decrypt"===this.type?this._updateDecrypt(e):this._updateEncrypt(e)},a.prototype._buffer=function(e,t){for(var n=Math.min(this.buffer.length-this.bufferOff,e.length-t),r=0;r<n;r++)this.buffer[this.bufferOff+r]=e[t+r];return this.bufferOff+=n,n},a.prototype._flushBuffer=function(e,t){return this._update(this.buffer,0,e,t),this.bufferOff=0,this.blockSize},a.prototype._updateEncrypt=function(e){var t=0,n=0,r=(this.bufferOff+e.length)/this.blockSize|0,a=new Array(r*this.blockSize);0!==this.bufferOff&&(t+=this._buffer(e,t),this.bufferOff===this.buffer.length&&(n+=this._flushBuffer(a,n)));for(var i=e.length-(e.length-t)%this.blockSize;t<i;t+=this.blockSize)this._update(e,t,a,n),n+=this.blockSize;for(;t<e.length;t++,this.bufferOff++)this.buffer[this.bufferOff]=e[t];return a},a.prototype._updateDecrypt=function(e){for(var t=0,n=0,r=Math.ceil((this.bufferOff+e.length)/this.blockSize)-1,a=new Array(r*this.blockSize);r>0;r--)t+=this._buffer(e,t),n+=this._flushBuffer(a,n);return t+=this._buffer(e,t),a},a.prototype.final=function(e){var t,n;return e&&(t=this.update(e)),n="encrypt"===this.type?this._finalEncrypt():this._finalDecrypt(),t?t.concat(n):n},a.prototype._pad=function(e,t){if(0===t)return!1;for(;t<e.length;)e[t++]=0;return!0},a.prototype._finalEncrypt=function(){if(!this._pad(this.buffer,this.bufferOff))return[];var e=new Array(this.blockSize);return this._update(this.buffer,0,e,0),e},a.prototype._unpad=function(e){return e},a.prototype._finalDecrypt=function(){r.equal(this.bufferOff,this.blockSize,"Not enough data to decrypt");var e=new Array(this.blockSize);return this._flushBuffer(e,0),this._unpad(e)}},function(e,t,n){"use strict";t.readUInt32BE=function(e,t){return(e[0+t]<<24|e[1+t]<<16|e[2+t]<<8|e[3+t])>>>0},t.writeUInt32BE=function(e,t,n){e[0+n]=t>>>24,e[1+n]=t>>>16&255,e[2+n]=t>>>8&255,e[3+n]=255&t},t.ip=function(e,t,n,r){for(var a=0,i=0,o=6;o>=0;o-=2){for(var s=0;s<=24;s+=8)a<<=1,a|=t>>>s+o&1;for(s=0;s<=24;s+=8)a<<=1,a|=e>>>s+o&1}for(o=6;o>=0;o-=2){for(s=1;s<=25;s+=8)i<<=1,i|=t>>>s+o&1;for(s=1;s<=25;s+=8)i<<=1,i|=e>>>s+o&1}n[r+0]=a>>>0,n[r+1]=i>>>0},t.rip=function(e,t,n,r){for(var a=0,i=0,o=0;o<4;o++)for(var s=24;s>=0;s-=8)a<<=1,a|=t>>>s+o&1,a<<=1,a|=e>>>s+o&1;for(o=4;o<8;o++)for(s=24;s>=0;s-=8)i<<=1,i|=t>>>s+o&1,i<<=1,i|=e>>>s+o&1;n[r+0]=a>>>0,n[r+1]=i>>>0},t.pc1=function(e,t,n,r){for(var a=0,i=0,o=7;o>=5;o--){for(var s=0;s<=24;s+=8)a<<=1,a|=t>>s+o&1;for(s=0;s<=24;s+=8)a<<=1,a|=e>>s+o&1}for(s=0;s<=24;s+=8)a<<=1,a|=t>>s+o&1;for(o=1;o<=3;o++){for(s=0;s<=24;s+=8)i<<=1,i|=t>>s+o&1;for(s=0;s<=24;s+=8)i<<=1,i|=e>>s+o&1}for(s=0;s<=24;s+=8)i<<=1,i|=e>>s+o&1;n[r+0]=a>>>0,n[r+1]=i>>>0},t.r28shl=function(e,t){return e<<t&268435455|e>>>28-t};var r=[14,11,17,4,27,23,25,0,13,22,7,18,5,9,16,24,2,20,12,21,1,8,15,26,15,4,25,19,9,1,26,16,5,11,23,8,12,7,17,0,22,3,10,14,6,20,27,24];t.pc2=function(e,t,n,a){for(var i=0,o=0,s=r.length>>>1,u=0;u<s;u++)i<<=1,i|=e>>>r[u]&1;for(u=s;u<r.length;u++)o<<=1,o|=t>>>r[u]&1;n[a+0]=i>>>0,n[a+1]=o>>>0},t.expand=function(e,t,n){var r=0,a=0;r=(1&e)<<5|e>>>27;for(var i=23;i>=15;i-=4)r<<=6,r|=e>>>i&63;for(i=11;i>=3;i-=4)a|=e>>>i&63,a<<=6;a|=(31&e)<<1|e>>>31,t[n+0]=r>>>0,t[n+1]=a>>>0};var a=[14,0,4,15,13,7,1,4,2,14,15,2,11,13,8,1,3,10,10,6,6,12,12,11,5,9,9,5,0,3,7,8,4,15,1,12,14,8,8,2,13,4,6,9,2,1,11,7,15,5,12,11,9,3,7,14,3,10,10,0,5,6,0,13,15,3,1,13,8,4,14,7,6,15,11,2,3,8,4,14,9,12,7,0,2,1,13,10,12,6,0,9,5,11,10,5,0,13,14,8,7,10,11,1,10,3,4,15,13,4,1,2,5,11,8,6,12,7,6,12,9,0,3,5,2,14,15,9,10,13,0,7,9,0,14,9,6,3,3,4,15,6,5,10,1,2,13,8,12,5,7,14,11,12,4,11,2,15,8,1,13,1,6,10,4,13,9,0,8,6,15,9,3,8,0,7,11,4,1,15,2,14,12,3,5,11,10,5,14,2,7,12,7,13,13,8,14,11,3,5,0,6,6,15,9,0,10,3,1,4,2,7,8,2,5,12,11,1,12,10,4,14,15,9,10,3,6,15,9,0,0,6,12,10,11,1,7,13,13,8,15,9,1,4,3,5,14,11,5,12,2,7,8,2,4,14,2,14,12,11,4,2,1,12,7,4,10,7,11,13,6,1,8,5,5,0,3,15,15,10,13,3,0,9,14,8,9,6,4,11,2,8,1,12,11,7,10,1,13,14,7,2,8,13,15,6,9,15,12,0,5,9,6,10,3,4,0,5,14,3,12,10,1,15,10,4,15,2,9,7,2,12,6,9,8,5,0,6,13,1,3,13,4,14,14,0,7,11,5,3,11,8,9,4,14,3,15,2,5,12,2,9,8,5,12,15,3,10,7,11,0,14,4,1,10,7,1,6,13,0,11,8,6,13,4,13,11,0,2,11,14,7,15,4,0,9,8,1,13,10,3,14,12,3,9,5,7,12,5,2,10,15,6,8,1,6,1,6,4,11,11,13,13,8,12,1,3,4,7,10,14,7,10,9,15,5,6,0,8,15,0,14,5,2,9,3,2,12,13,1,2,15,8,13,4,8,6,10,15,3,11,7,1,4,10,12,9,5,3,6,14,11,5,0,0,14,12,9,7,2,7,2,11,1,4,14,1,7,9,4,12,10,14,8,2,13,0,15,6,12,10,9,13,0,15,3,3,5,5,6,8,11];t.substitute=function(e,t){for(var n=0,r=0;r<4;r++)n<<=4,n|=a[64*r+(e>>>18-6*r&63)];for(r=0;r<4;r++)n<<=4,n|=a[256+64*r+(t>>>18-6*r&63)];return n>>>0};var i=[16,25,12,11,3,20,4,15,31,17,9,6,27,14,1,22,30,24,8,18,0,5,29,23,13,19,2,26,10,21,28,7];t.permute=function(e){for(var t=0,n=0;n<i.length;n++)t<<=1,t|=e>>>i[n]&1;return t>>>0},t.padSplit=function(e,t,n){for(var r=e.toString(2);r.length<t;)r="0"+r;for(var a=[],i=0;i<t;i+=n)a.push(r.slice(i,i+n));return a.join(" ")}},function(e,t,n){var r=n(56),a=n(150),i=n(5),o=n(6).Buffer,s={"des-ede3-cbc":a.CBC.instantiate(a.EDE),"des-ede3":a.EDE,"des-ede-cbc":a.CBC.instantiate(a.EDE),"des-ede":a.EDE,"des-cbc":a.CBC.instantiate(a.DES),"des-ecb":a.DES};function u(e){r.call(this);var t,n=e.mode.toLowerCase(),a=s[n];t=e.decrypt?"decrypt":"encrypt";var i=e.key;o.isBuffer(i)||(i=o.from(i)),"des-ede"!==n&&"des-ede-cbc"!==n||(i=o.concat([i,i.slice(0,8)]));var u=e.iv;o.isBuffer(u)||(u=o.from(u)),this._des=a.create({key:i,iv:u,type:t})}s.des=s["des-cbc"],s.des3=s["des-ede3-cbc"],e.exports=u,i(u,r),u.prototype._update=function(e){return o.from(this._des.update(e))},u.prototype._final=function(){return o.from(this._des.final())}},function(e,t,n){var r=n(454),a=n(149),i=n(148),o=n(439),s=n(111);function u(e,t,n){if(e=e.toLowerCase(),i[e])return a.createCipheriv(e,t,n);if(o[e])return new r({key:t,iv:n,mode:e});throw new TypeError("invalid suite type")}function l(e,t,n){if(e=e.toLowerCase(),i[e])return a.createDecipheriv(e,t,n);if(o[e])return new r({key:t,iv:n,mode:e,decrypt:!0});throw new TypeError("invalid suite type")}t.createCipher=t.Cipher=function(e,t){var n,r;if(e=e.toLowerCase(),i[e])n=i[e].key,r=i[e].iv;else{if(!o[e])throw new TypeError("invalid suite type");n=8*o[e].key,r=o[e].iv}var a=s(t,!1,n,r);return u(e,a.key,a.iv)},t.createCipheriv=t.Cipheriv=u,t.createDecipher=t.Decipher=function(e,t){var n,r;if(e=e.toLowerCase(),i[e])n=i[e].key,r=i[e].iv;else{if(!o[e])throw new TypeError("invalid suite type");n=8*o[e].key,r=o[e].iv}var a=s(t,!1,n,r);return l(e,a.key,a.iv)},t.createDecipheriv=t.Decipheriv=l,t.listCiphers=t.getCiphers=function(){return Object.keys(o).concat(a.getCiphers())}},function(e,t,n){(function(t,r){var a,i=n(241),o=n(240),s=n(239),u=n(6).Buffer,l=t.crypto&&t.crypto.subtle,c={sha:"SHA-1","sha-1":"SHA-1",sha1:"SHA-1",sha256:"SHA-256","sha-256":"SHA-256",sha384:"SHA-384","sha-384":"SHA-384","sha-512":"SHA-512",sha512:"SHA-512"},f=[];function p(e,t,n,r,a){return l.importKey("raw",e,{name:"PBKDF2"},!1,["deriveBits"]).then(function(e){return l.deriveBits({name:"PBKDF2",salt:t,iterations:n,hash:{name:a}},e,r<<3)}).then(function(e){return u.from(e)})}e.exports=function(e,n,h,d,m,g){"function"==typeof m&&(g=m,m=void 0);var y=c[(m=m||"sha1").toLowerCase()];if(!y||"function"!=typeof t.Promise)return r.nextTick(function(){var t;try{t=s(e,n,h,d,m)}catch(e){return g(e)}g(null,t)});if(i(e,n,h,d),"function"!=typeof g)throw new Error("No callback provided to pbkdf2");u.isBuffer(e)||(e=u.from(e,o)),u.isBuffer(n)||(n=u.from(n,o)),function(e,t){e.then(function(e){r.nextTick(function(){t(null,e)})},function(e){r.nextTick(function(){t(e)})})}(function(e){if(t.process&&!t.process.browser)return Promise.resolve(!1);if(!l||!l.importKey||!l.deriveBits)return Promise.resolve(!1);if(void 0!==f[e])return f[e];var n=p(a=a||u.alloc(8),a,10,128,e).then(function(){return!0}).catch(function(){return!1});return f[e]=n,n}(y).then(function(t){return t?p(e,n,h,d,y):s(e,n,h,d,m)}),g)}}).call(this,n(26),n(46))},function(e,t,n){e.exports=n(243)},function(e,t,n){"use strict";var r=n(5),a=n(6).Buffer,i=n(56),o=a.alloc(128),s=64;function u(e,t){i.call(this,"digest"),"string"==typeof t&&(t=a.from(t)),this._alg=e,this._key=t,t.length>s?t=e(t):t.length<s&&(t=a.concat([t,o],s));for(var 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e%2==0?e:e+1}function sum(e){for(var t=0,r=0;r<e.length;r++)t+=e[r];return t}function randUniform(e,t){var r=Math.random();return t*r+(1-r)*e}function distSquared(e,t){for(var r=0,n=0;n<e.length;n++){var o=Number(e[n])-Number(t[n]);r+=o*o}return r}function assert(e,t){if(!e)throw new Error(\"string\"==typeof t?t:t())}function assertShapesMatch(e,t,r){void 0===r&&(r=\"\"),assert(arraysEqual(e,t),r+\" Shapes \"+e+\" and \"+t+\" must match\")}function assertNonNull(e){assert(null!=e,\"The input to the tensor constructor must be a non-null value.\")}function flatten(e,t){if(void 0===t&&(t=[]),Array.isArray(e))for(var r=0;r<e.length;++r)flatten(e[r],t);else t.push(e);return t}function sizeFromShape(e){if(0===e.length)return 1;for(var t=e[0],r=1;r<e.length;r++)t*=e[r];return t}function isScalarShape(e){return 0===e.length}function arraysEqual(e,t){if(e===t)return!0;if(null==e||null==t)return!1;if(e.length!==t.length)return!1;for(var r=0;r<e.length;r++)if(e[r]!==t[r])return!1;return!0}function isInt(e){return e%1==0}function tanh(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)}function sizeToSquarishShape(e){for(var t=Math.floor(Math.sqrt(e));t>1;--t)if(e%t==0)return[t,e/t];return[1,e]}function createShuffledIndices(e){for(var t=new Uint32Array(e),r=0;r<e;++r)t[r]=r;return shuffle(t),t}function rightPad(e,t){return t<=e.length?e:e+\" \".repeat(t-e.length)}function repeatedTry(e,t,r){return void 0===t&&(t=function(e){return 0}),new Promise(function(n,o){var a=0,i=function(){if(e())n();else{var s=t(++a);null!=r&&a>=r?o():setTimeout(i,s)}};i()})}function inferFromImplicitShape(e,t){for(var r=1,n=-1,o=0;o<e.length;++o)if(e[o]>=0)r*=e[o];else if(-1===e[o]){if(-1!==n)throw Error(\"Shapes can only have 1 implicit size. Found -1 at dim \"+n+\" and dim \"+o);n=o}else if(e[o]<0)throw Error(\"Shapes can not be < 0. Found \"+e[o]+\" at dim \"+o);if(-1===n){if(t>0&&t!==r)throw Error(\"Size(\"+t+\") must match the product of shape \"+e);return e}if(0===r)throw Error(\"Cannot infer the missing size in [\"+e+\"] when there are 0 elements\");if(t%r!=0)throw Error(\"The implicit shape can't be a fractional number. Got \"+t+\" / \"+r);var a=e.slice();return a[n]=t/r,a}function squeezeShape(e,t){for(var r=[],n=[],o=0,a=0;a<e.length;++a){if(null!=t){if(t[o]===a&&1!==e[a])throw new Error(\"Can't squeeze axis \"+a+\" since its dim '\"+e[a]+\"' is not 1\");(null==t[o]||t[o]>a)&&1===e[a]&&(r.push(e[a]),n.push(a)),t[o]<=a&&o++}1!==e[a]&&(r.push(e[a]),n.push(a))}return{newShape:r,keptDims:n}}function getTypedArrayFromDType(e,t){var r=null;if(null==e||\"float32\"===e)r=new Float32Array(t);else if(\"int32\"===e)r=new Int32Array(t);else{if(\"bool\"!==e)throw new Error(\"Unknown data type \"+e);r=new Uint8Array(t)}return r}function checkComputationForNaN(e,t,r){if(\"float32\"===t)for(var n=0;n<e.length;n++)if(isNaN(e[n]))throw Error(\"The result of the '\"+r+\"' has NaNs.\")}function checkConversionForNaN(e,t){if(\"float32\"!==t)for(var r=0;r<e.length;r++)if(isNaN(e[r]))throw Error(\"NaN is not a valid value for dtype: '\"+t+\"'.\")}function hasEncodingLoss(e,t){return\"complex64\"!==t&&((\"float32\"!==t||\"complex64\"===e)&&((\"int32\"!==t||\"float32\"===e||\"complex64\"===e)&&(\"bool\"!==t||\"bool\"!==e)))}function copyTypedArray(e,t,r){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return r&&checkConversionForNaN(e,t),new Int32Array(e);if(\"bool\"===t){for(var n=new Uint8Array(e.length),o=0;o<n.length;++o)0!==Math.round(e[o])&&(n[o]=1);return n}throw new Error(\"Unknown data type \"+t)}function isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array}function bytesPerElement(e){if(\"float32\"===e||\"int32\"===e)return 4;if(\"complex64\"===e)return 8;if(\"bool\"===e)return 1;throw new Error(\"Unknown dtype \"+e)}function isFunction(e){return!!(e&&e.constructor&&e.call&&e.apply)}function nearestDivisor(e,t){for(var r=t;r<e;++r)if(e%r==0)return r;return e}function computeStrides(e){var t=e.length;if(t<2)return[];var r=new Array(t-1);r[t-2]=e[t-1];for(var n=t-3;n>=0;--n)r[n]=r[n+1]*e[n+1];return r}function toTypedArray(e,t,r){return noConversionNeeded(e,t)?e:(Array.isArray(e)&&(e=flatten(e)),copyTypedArray(e,t,r))}function noConversionNeeded(e,t){return e instanceof Float32Array&&\"float32\"===t||e instanceof Int32Array&&\"int32\"===t||e instanceof Uint8Array&&\"bool\"===t}function makeOnesTypedArray(e,t){for(var r=makeZerosTypedArray(e,t),n=0;n<r.length;n++)r[n]=1;return r}function makeZerosTypedArray(e,t){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return new Int32Array(e);if(\"bool\"===t)return new Uint8Array(e);throw new Error(\"Unknown data type \"+t)}function now(){if(\"undefined\"!=typeof performance)return performance.now();if(\"undefined\"!=typeof process){var e=process.hrtime();return 1e3*e[0]+e[1]/1e6}throw new Error(\"Cannot measure time in this environment. You should run tf.js in the browser or in Node.js\")}var util=Object.freeze({shuffle:shuffle,clamp:clamp,nearestLargerEven:nearestLargerEven,sum:sum,randUniform:randUniform,distSquared:distSquared,assert:assert,assertShapesMatch:assertShapesMatch,assertNonNull:assertNonNull,flatten:flatten,sizeFromShape:sizeFromShape,isScalarShape:isScalarShape,arraysEqual:arraysEqual,isInt:isInt,tanh:tanh,sizeToSquarishShape:sizeToSquarishShape,createShuffledIndices:createShuffledIndices,rightPad:rightPad,repeatedTry:repeatedTry,inferFromImplicitShape:inferFromImplicitShape,squeezeShape:squeezeShape,getTypedArrayFromDType:getTypedArrayFromDType,checkComputationForNaN:checkComputationForNaN,checkConversionForNaN:checkConversionForNaN,hasEncodingLoss:hasEncodingLoss,isTypedArray:isTypedArray,bytesPerElement:bytesPerElement,isFunction:isFunction,nearestDivisor:nearestDivisor,computeStrides:computeStrides,toTypedArray:toTypedArray,makeOnesTypedArray:makeOnesTypedArray,makeZerosTypedArray:makeZerosTypedArray,now:now}),Profiler=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new Logger)}return e.prototype.profileKernel=function(e,t){var r,n=this,o=this.backendTimer.time(function(){r=t()});return(Array.isArray(r)?r:[r]).forEach(function(t){var r=t.dataSync();checkComputationForNaN(r,t.dtype,e),o.then(function(o){var a=\"\";null!=o.getExtraProfileInfo&&(a=o.getExtraProfileInfo()),n.logger.logKernelProfile(e,t,r,o.kernelMs,a)})}),r},e}(),Logger=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,r,n,o){var a=rightPad(n+\"ms\",9),i=rightPad(e,25),s=t.rank,u=t.size,l=rightPad(t.shape.toString(),14);console.log(\"%c\"+i+\"\\t%c\"+a+\"\\t%c\"+s+\"D \"+l+\"\\t%c\"+u+\"\\t%c\"+o,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\")},e}(),FORMAT_LIMIT_NUM_VALS=20,FORMAT_NUM_FIRST_LAST_VALS=3,FORMAT_NUM_SIG_DIGITS=7;function tensorToString(e,t,r,n){var o=computeStrides(t),a=computeMaxSizePerColumn(e,t,r,o),i=t.length,s=subTensorToString(e,t,r,o,a),u=[\"Tensor\"];return n&&(u.push(\"  dtype: \"+r),u.push(\"  rank: \"+i),u.push(\"  shape: [\"+t+\"]\"),u.push(\"  values:\")),u.push(s.map(function(e){return\"    \"+e}).join(\"\\n\")),u.join(\"\\n\")}function computeMaxSizePerColumn(e,t,r,n){var o=sizeFromShape(t),a=n[n.length-1],i=new Array(a).fill(0),s=t.length,u=\"complex64\"===r?createComplexTuples(e):e;if(s>1)for(var l=0;l<o/a;l++)for(var c=l*a,p=0;p<a;p++)i[p]=Math.max(i[p],valToString(u[c+p],0).length);return i}function valToString(e,t){return rightPad(Array.isArray(e)?parseFloat(e[0].toFixed(FORMAT_NUM_SIG_DIGITS))+\" + \"+parseFloat(e[1].toFixed(FORMAT_NUM_SIG_DIGITS))+\"j\":parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(),t)}function subTensorToString(e,t,r,n,o,a){void 0===a&&(a=!0);var i=\"complex64\"===r?2:1,s=t[0],u=t.length;if(0===u)return\"complex64\"===r?[valToString(createComplexTuples(e)[0],0)]:[e[0].toString()];if(1===u){if(s>FORMAT_LIMIT_NUM_VALS){var l=FORMAT_NUM_FIRST_LAST_VALS*i,c=Array.from(e.subarray(0,l)),p=Array.from(e.subarray(s-FORMAT_NUM_FIRST_LAST_VALS*i,s));return\"complex64\"===r&&(c=createComplexTuples(c),p=createComplexTuples(p)),[\"[\"+c.map(function(e,t){return valToString(e,o[t])}).join(\", \")+\", ..., \"+p.map(function(e,t){return valToString(e,o[s-FORMAT_NUM_FIRST_LAST_VALS+t])}).join(\", \")+\"]\"]}return[\"[\"+(\"complex64\"===r?createComplexTuples(e):Array.from(e)).map(function(e,t){return valToString(e,o[t])}).join(\", \")+\"]\"]}var d=t.slice(1),h=n.slice(1),f=n[0]*i,m=[];if(s>FORMAT_LIMIT_NUM_VALS){for(var g=0;g<FORMAT_NUM_FIRST_LAST_VALS;g++){var v=(y=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(y,v),d,r,h,o,!1))}m.push(\"...\");for(g=s-FORMAT_NUM_FIRST_LAST_VALS;g<s;g++){v=(y=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(y,v),d,r,h,o,g===s-1))}}else for(g=0;g<s;g++){var y;v=(y=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(y,v),d,r,h,o,g===s-1))}var x=2===u?\",\":\"\";m[0]=\"[\"+m[0]+x;for(g=1;g<m.length-1;g++)m[g]=\" \"+m[g]+x;var T=\",\\n\";for(g=2;g<u;g++)T+=\"\\n\";return m[m.length-1]=\" \"+m[m.length-1]+\"]\"+(a?\"\":T),m}function createComplexTuples(e){for(var t=[],r=0;r<e.length;r+=2)t.push([e[r],e[r+1]]);return t}var TensorBuffer=function(){function e(e,t,r){if(this.dtype=t,this.shape=e.slice(),this.size=sizeFromShape(e),null!=r){var n=r.length;assert(n===this.size,\"Length of values '\"+n+\"' does not match the size inferred by the shape '\"+this.size+\"'.\")}if(\"complex64\"===t)throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=r||getTypedArrayFromDType(t,sizeFromShape(this.shape)),this.strides=computeStrides(e)}return e.prototype.set=function(e){for(var t=[],r=1;r<arguments.length;r++)t[r-1]=arguments[r];0===t.length&&(t=[0]),assert(t.length===this.rank,\"The number of provided coordinates (\"+t.length+\") must match the rank (\"+this.rank+\")\");var n=this.locToIndex(t);this.values[n]=e},e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];0===e.length&&(e=[0]);for(var r=e[e.length-1],n=0;n<e.length-1;++n)r+=this.strides[n]*e[n];return this.values[r]},e.prototype.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],r=0;r<e.length-1;++r)t+=this.strides[r]*e[r];return t},e.prototype.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),r=0;r<t.length-1;++r)t[r]=Math.floor(e/this.strides[r]),e-=t[r]*this.strides[r];return t[t.length-1]=e,t},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.toTensor=function(){return Tensor.make(this.shape,{values:this.values},this.dtype)},e}(),trackerFn=null,opHandler=null;function setTensorTracker(e){trackerFn=e}function setOpHandler(e){opHandler=e}var Tensor=function(){function e(e,t,r,n){this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||\"float32\",this.size=sizeFromShape(e),null!=r&&assert(this.size===r.length,\"Based on the provided shape, [\"+e+\"], and dtype \"+this.dtype+\", the tensor should have \"+this.size+\" values but has \"+r.length),this.strides=computeStrides(e),this.dataId=null!=n?n:{},this.id=trackerFn().nextTensorId(),this.rankType=this.rank<5?this.rank.toString():\"higher\",trackerFn().registerTensor(this),null!=r&&trackerFn().write(this.dataId,r)}return e.make=function(t,r,n){return new e(t,n,r.values,r.dataId)},e.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},e.prototype.asScalar=function(){return this.throwIfDisposed(),assert(1===this.size,\"The array must have only 1 element.\"),this.reshape([])},e.prototype.as1D=function(){return this.throwIfDisposed(),this.reshape([this.size])},e.prototype.as2D=function(e,t){return this.throwIfDisposed(),this.reshape([e,t])},e.prototype.as3D=function(e,t,r){return this.throwIfDisposed(),this.reshape([e,t,r])},e.prototype.as4D=function(e,t,r,n){return this.throwIfDisposed(),this.reshape([e,t,r,n])},e.prototype.asType=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];assert(e.length===this.rank,\"Number of coordinates in get() must match the rank of the tensor\"),assert(\"complex64\"!==this.dtype,\"Tensor.get() is not supported for complex64 tensors yet.\"),this.throwIfDisposed(),0===e.length&&(e=[0]);for(var r=e[e.length-1],n=0;n<e.length-1;++n)r+=this.strides[n]*e[n];return this.dataSync()[r]},e.prototype.buffer=function(){return opHandler.buffer(this.shape,this.dtype,this.dataSync())},e.prototype.data=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.throwIfDisposed(),[2,trackerFn().read(this.dataId)]})})},e.prototype.dataSync=function(){return this.throwIfDisposed(),trackerFn().readSync(this.dataId)},e.prototype.dispose=function(){this.isDisposed||(trackerFn().disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(e.prototype,\"isDisposed\",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),e.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")},e.prototype.toFloat=function(){return this.asType(\"float32\")},e.prototype.toInt=function(){return this.asType(\"int32\")},e.prototype.toBool=function(){return this.asType(\"bool\")},e.prototype.print=function(e){return void 0===e&&(e=!1),opHandler.print(this,e)},e.prototype.reshape=function(e){return this.throwIfDisposed(),opHandler.reshape(this,e)},e.prototype.reshapeAs=function(e){return this.throwIfDisposed(),this.reshape(e.shape)},e.prototype.expandDims=function(e){return void 0===e&&(e=0),opHandler.expandDims(this,e)},e.prototype.cumsum=function(e,t,r){return void 0===e&&(e=0),void 0===t&&(t=!1),void 0===r&&(r=!1),opHandler.cumsum(this,e,t,r)},e.prototype.squeeze=function(e){return this.throwIfDisposed(),opHandler.squeeze(this,e)},e.prototype.clone=function(){return this.throwIfDisposed(),opHandler.clone(this)},e.prototype.toString=function(e){return void 0===e&&(e=!1),tensorToString(this.dataSync(),this.shape,this.dtype,e)},e.prototype.tile=function(e){return this.throwIfDisposed(),opHandler.tile(this,e)},e.prototype.gather=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.gather(this,e,t)},e.prototype.matMul=function(e,t,r){return void 0===t&&(t=!1),void 0===r&&(r=!1),this.throwIfDisposed(),opHandler.matMul(this,e,t,r)},e.prototype.dot=function(e){return this.throwIfDisposed(),opHandler.dot(this,e)},e.prototype.norm=function(e,t,r){return void 0===e&&(e=\"euclidean\"),void 0===t&&(t=null),void 0===r&&(r=!1),this.throwIfDisposed(),opHandler.norm(this,e,t,r)},e.prototype.slice=function(e,t){return this.throwIfDisposed(),opHandler.slice(this,e,t)},e.prototype.reverse=function(e){return this.throwIfDisposed(),opHandler.reverse(this,e)},e.prototype.concat=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.concat([this,e],t)},e.prototype.split=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.split(this,e,t)},e.prototype.stack=function(e,t){return void 0===t&&(t=0),opHandler.stack([this,e],t)},e.prototype.unstack=function(e,t){return void 0===t&&(t=0),opHandler.unstack(this,t)},e.prototype.pad=function(e,t){return void 0===t&&(t=0),opHandler.pad(this,e,t)},e.prototype.batchNormalization=function(e,t,r,n,o){return void 0===r&&(r=.001),this.throwIfDisposed(),opHandler.batchNormalization(this,e,t,r,n,o)},e.prototype.all=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.all(this,e,t)},e.prototype.any=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.any(this,e,t)},e.prototype.logSumExp=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.logSumExp(this,e,t)},e.prototype.sum=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.sum(this,e,t)},e.prototype.prod=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.prod(this,e,t)},e.prototype.mean=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.mean(this,e,t)},e.prototype.min=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.min(this,e,t)},e.prototype.max=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.max(this,e,t)},e.prototype.argMin=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMin(this,e)},e.prototype.argMax=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMax(this,e)},e.prototype.cast=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},e.prototype.add=function(e){return this.throwIfDisposed(),opHandler.add(this,e)},e.prototype.addStrict=function(e){return this.throwIfDisposed(),opHandler.addStrict(this,e)},e.prototype.atan2=function(e){return this.throwIfDisposed(),opHandler.atan2(this,e)},e.prototype.sub=function(e){return this.throwIfDisposed(),opHandler.sub(this,e)},e.prototype.subStrict=function(e){return this.throwIfDisposed(),opHandler.subStrict(this,e)},e.prototype.pow=function(e){return this.throwIfDisposed(),opHandler.pow(this,e)},e.prototype.powStrict=function(e){return this.throwIfDisposed(),opHandler.powStrict(this,e)},e.prototype.mul=function(e){return this.throwIfDisposed(),opHandler.mul(this,e)},e.prototype.mulStrict=function(e){return this.throwIfDisposed(),opHandler.mulStrict(this,e)},e.prototype.div=function(e){return this.throwIfDisposed(),opHandler.div(this,e)},e.prototype.floorDiv=function(e){return this.throwIfDisposed(),opHandler.floorDiv(this,e)},e.prototype.divStrict=function(e){return this.throwIfDisposed(),opHandler.divStrict(this,e)},e.prototype.minimum=function(e){return this.throwIfDisposed(),opHandler.minimum(this,e)},e.prototype.minimumStrict=function(e){return this.throwIfDisposed(),opHandler.minimumStrict(this,e)},e.prototype.maximum=function(e){return this.throwIfDisposed(),opHandler.maximum(this,e)},e.prototype.maximumStrict=function(e){return this.throwIfDisposed(),opHandler.maximumStrict(this,e)},e.prototype.mod=function(e){return this.throwIfDisposed(),opHandler.mod(this,e)},e.prototype.modStrict=function(e){return this.throwIfDisposed(),opHandler.modStrict(this,e)},e.prototype.squaredDifference=function(e){return this.throwIfDisposed(),opHandler.squaredDifference(this,e)},e.prototype.squaredDifferenceStrict=function(e){return this.throwIfDisposed(),opHandler.squaredDifferenceStrict(this,e)},e.prototype.transpose=function(e){return this.throwIfDisposed(),opHandler.transpose(this,e)},e.prototype.notEqual=function(e){return this.throwIfDisposed(),opHandler.notEqual(this,e)},e.prototype.notEqualStrict=function(e){return this.throwIfDisposed(),opHandler.notEqualStrict(this,e)},e.prototype.less=function(e){return this.throwIfDisposed(),opHandler.less(this,e)},e.prototype.lessStrict=function(e){return this.throwIfDisposed(),opHandler.lessStrict(this,e)},e.prototype.equal=function(e){return this.throwIfDisposed(),opHandler.equal(this,e)},e.prototype.equalStrict=function(e){return this.throwIfDisposed(),opHandler.equalStrict(this,e)},e.prototype.lessEqual=function(e){return this.throwIfDisposed(),opHandler.lessEqual(this,e)},e.prototype.lessEqualStrict=function(e){return this.throwIfDisposed(),opHandler.lessEqualStrict(this,e)},e.prototype.greater=function(e){return this.throwIfDisposed(),opHandler.greater(this,e)},e.prototype.greaterStrict=function(e){return this.throwIfDisposed(),opHandler.greaterStrict(this,e)},e.prototype.greaterEqual=function(e){return this.throwIfDisposed(),opHandler.greaterEqual(this,e)},e.prototype.greaterEqualStrict=function(e){return this.throwIfDisposed(),opHandler.greaterEqualStrict(this,e)},e.prototype.logicalAnd=function(e){return this.throwIfDisposed(),opHandler.logicalAnd(this,e)},e.prototype.logicalOr=function(e){return this.throwIfDisposed(),opHandler.logicalOr(this,e)},e.prototype.logicalNot=function(){return this.throwIfDisposed(),opHandler.logicalNot(this)},e.prototype.logicalXor=function(e){return this.throwIfDisposed(),opHandler.logicalXor(this,e)},e.prototype.where=function(e,t){return this.throwIfDisposed(),opHandler.where(e,this,t)},e.prototype.neg=function(){return this.throwIfDisposed(),opHandler.neg(this)},e.prototype.ceil=function(){return this.throwIfDisposed(),opHandler.ceil(this)},e.prototype.floor=function(){return this.throwIfDisposed(),opHandler.floor(this)},e.prototype.sign=function(){return this.throwIfDisposed(),opHandler.sign(this)},e.prototype.exp=function(){return this.throwIfDisposed(),opHandler.exp(this)},e.prototype.expm1=function(){return this.throwIfDisposed(),opHandler.expm1(this)},e.prototype.log=function(){return this.throwIfDisposed(),opHandler.log(this)},e.prototype.log1p=function(){return this.throwIfDisposed(),opHandler.log1p(this)},e.prototype.sqrt=function(){return this.throwIfDisposed(),opHandler.sqrt(this)},e.prototype.rsqrt=function(){return this.throwIfDisposed(),opHandler.rsqrt(this)},e.prototype.square=function(){return this.throwIfDisposed(),opHandler.square(this)},e.prototype.reciprocal=function(){return this.throwIfDisposed(),opHandler.reciprocal(this)},e.prototype.abs=function(){return this.throwIfDisposed(),opHandler.abs(this)},e.prototype.clipByValue=function(e,t){return this.throwIfDisposed(),opHandler.clipByValue(this,e,t)},e.prototype.relu=function(){return this.throwIfDisposed(),opHandler.relu(this)},e.prototype.elu=function(){return this.throwIfDisposed(),opHandler.elu(this)},e.prototype.selu=function(){return this.throwIfDisposed(),opHandler.selu(this)},e.prototype.leakyRelu=function(e){return void 0===e&&(e=.2),this.throwIfDisposed(),opHandler.leakyRelu(this,e)},e.prototype.prelu=function(e){return this.throwIfDisposed(),opHandler.prelu(this,e)},e.prototype.sigmoid=function(){return this.throwIfDisposed(),opHandler.sigmoid(this)},e.prototype.logSigmoid=function(){return this.throwIfDisposed(),opHandler.logSigmoid(this)},e.prototype.softplus=function(){return this.throwIfDisposed(),opHandler.softplus(this)},e.prototype.zerosLike=function(){return this.throwIfDisposed(),opHandler.zerosLike(this)},e.prototype.onesLike=function(){return this.throwIfDisposed(),opHandler.onesLike(this)},e.prototype.sin=function(){return this.throwIfDisposed(),opHandler.sin(this)},e.prototype.cos=function(){return this.throwIfDisposed(),opHandler.cos(this)},e.prototype.tan=function(){return this.throwIfDisposed(),opHandler.tan(this)},e.prototype.asin=function(){return this.throwIfDisposed(),opHandler.asin(this)},e.prototype.acos=function(){return this.throwIfDisposed(),opHandler.acos(this)},e.prototype.atan=function(){return this.throwIfDisposed(),opHandler.atan(this)},e.prototype.sinh=function(){return this.throwIfDisposed(),opHandler.sinh(this)},e.prototype.cosh=function(){return this.throwIfDisposed(),opHandler.cosh(this)},e.prototype.tanh=function(){return this.throwIfDisposed(),opHandler.tanh(this)},e.prototype.asinh=function(){return this.throwIfDisposed(),opHandler.asinh(this)},e.prototype.acosh=function(){return this.throwIfDisposed(),opHandler.acosh(this)},e.prototype.atanh=function(){return this.throwIfDisposed(),opHandler.atanh(this)},e.prototype.erf=function(){return this.throwIfDisposed(),opHandler.erf(this)},e.prototype.round=function(){return this.throwIfDisposed(),opHandler.round(this)},e.prototype.step=function(e){return void 0===e&&(e=0),this.throwIfDisposed(),opHandler.step(this,e)},e.prototype.softmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),opHandler.softmax(this,e)},e.prototype.logSoftmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),opHandler.logSoftmax(this,e)},e.prototype.resizeBilinear=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeBilinear(this,e,t)},e.prototype.resizeNearestNeighbor=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeNearestNeighbor(this,e,t)},e.prototype.conv1d=function(e,t,r,n,o,a){return void 0===n&&(n=\"NWC\"),void 0===o&&(o=1),this.throwIfDisposed(),opHandler.conv1d(this,e,t,r,n,o,a)},e.prototype.conv2d=function(e,t,r,n,o,a){return void 0===n&&(n=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.conv2d(this,e,t,r,n,o,a)},e.prototype.conv2dTranspose=function(e,t,r,n,o){return this.throwIfDisposed(),opHandler.conv2dTranspose(this,e,t,r,n,o)},e.prototype.depthwiseConv2D=function(e,t,r,n,o,a){return void 0===n&&(n=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.depthwiseConv2d(this,e,t,r,n,o,a)},e.prototype.separableConv2d=function(e,t,r,n,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a=\"NHWC\"),this.throwIfDisposed(),opHandler.separableConv2d(this,e,t,r,n,o,a)},e.prototype.avgPool=function(e,t,r,n){return this.throwIfDisposed(),opHandler.avgPool(this,e,t,r,n)},e.prototype.maxPool=function(e,t,r,n){return this.throwIfDisposed(),opHandler.maxPool(this,e,t,r,n)},e.prototype.localResponseNormalization=function(e,t,r,n){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===r&&(r=1),void 0===n&&(n=.5),opHandler.localResponseNormalization(this,e,t,r,n)},e.prototype.pool=function(e,t,r,n,o){return this.throwIfDisposed(),opHandler.pool(this,e,t,r,n,o)},e.prototype.variable=function(e,t,r){return void 0===e&&(e=!0),this.throwIfDisposed(),Variable.variable(this,e,t,r)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),opHandler.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),opHandler.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),opHandler.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),opHandler.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,r,n,o){return void 0===n&&(n=0),void 0===o&&(o=0),this.throwIfDisposed(),opHandler.stridedSlice(this,e,t,r,n,o)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),opHandler.depthToSpace(this,e,t)},e.prototype.fft=function(){return this.throwIfDisposed(),opHandler.spectral.fft(this)},e.prototype.ifft=function(){return this.throwIfDisposed(),opHandler.spectral.ifft(this)},e}();Object.defineProperty(Tensor,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.shape&&null!=e.dtype}});var Variable=function(e){function t(t,r,n){void 0===r&&(r=!0);var o=e.call(this,t.shape,t.dtype,null,t.dataId)||this;o.trainable=r,o.name=n,null==o.name&&(o.name=trackerFn().nextVariableId().toString());try{trackerFn().registerVariable(o)}catch(e){throw trackerFn().disposeTensor(o),e}return o}return __extends(t,e),t.variable=function(e,r,n,o){return void 0===r&&(r=!0),null!=o&&o!==e.dtype&&(e=e.asType(o)),new t(e,r,n)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error(\"dtype of the new value (\"+e.dtype+\") and previous value (\"+this.dtype+\") must match\");if(!arraysEqual(e.shape,this.shape))throw new Error(\"shape of the new value (\"+e.shape+\") and previous value (\"+this.shape+\") must match\");trackerFn().disposeTensor(this),this.dataId=e.dataId,trackerFn().registerTensor(this)},t}(Tensor);Object.defineProperty(Variable,Symbol.hasInstance,{value:function(e){return e instanceof Tensor&&null!=e.assign&&e.assign instanceof Function}});var variable=Variable.variable;function getFilteredNodesXToY(e,t,r){for(var n={},o={},a=0;a<t.length;a++)n[t[a].id]=!0;for(a=0;a<e.length;a++){var i=(f=e[a]).inputs;for(var s in i){for(var u=i[s],l=!1,c=0;c<t.length;c++)if(n[u.id]){f.outputs.forEach(function(e){return n[e.id]=!0}),l=!0,o[f.id]=!0;break}if(l)break}}var p={};p[r.id]=!0;var d={};for(a=e.length-1;a>=0;a--)for(i=(f=e[a]).inputs,c=0;c<f.outputs.length;c++)if(p[f.outputs[c].id]){for(var s in i)p[i[s].id]=!0,d[f.id]=!0;break}var h=[];for(a=0;a<e.length;a++){var f;if(o[(f=e[a]).id]&&d[f.id]){var m={};for(var s in f.inputs){var g=f.inputs[s];n[g.id]&&(m[s]=g)}var v=Object.assign({},f);v.inputs=m,v.outputs=f.outputs,h.push(v)}}return h}function backpropagateGradients(e,t){for(var r=function(r){var n=t[r],o=[];if(n.outputs.forEach(function(t){var r=e[t.id];if(null!=r)o.push(r);else{var n=Tensor.make(t.shape,{values:makeZerosTypedArray(t.size,t.dtype)},t.dtype);o.push(n)}}),null==n.gradient)throw new Error(\"Cannot compute gradient: gradient function not found for \"+n.name+\".\");var a=n.gradient(1===n.outputs.length?o[0]:o);for(var i in n.inputs){if(!(i in a))throw new Error(\"Cannot backprop through input \"+i+\". Available gradients found: \"+Object.keys(a)+\".\");var s=a[i](),u=n.inputs[i];if(!arraysEqual(s.shape,u.shape))throw new Error(\"Error in gradient for op \"+n.name+\". The gradient of input '\"+i+\"' has shape '\"+s.shape+\"', which does not match the shape of the input '\"+u.shape+\"'\");if(null==e[u.id])e[u.id]=s;else{var l=e[u.id];e[u.id]=l.add(s),l.dispose()}}},n=t.length-1;n>=0;n--)r(n)}function assertTypesMatch(e,t){assert(e.dtype===t.dtype,\"The dtypes of the first(\"+e.dtype+\") and second(\"+t.dtype+\") input must match\")}function isTensorInList(e,t){for(var r=0;r<t.length;r++)if(t[r].id===e.id)return!0;return!1}function getTensorsInContainer(e){var t=[];return walkTensorContainer(e,t,new Set),t}function walkTensorContainer(e,t,r){if(null!=e)if(e instanceof Tensor)t.push(e);else if(isIterable(e)){var n=e;for(var o in n){var a=n[o];r.has(a)||(r.add(a),walkTensorContainer(a,t,r))}}}function isIterable(e){return Array.isArray(e)||\"object\"==typeof e}var Type,Engine=function(){function e(e,t,r){this.backend=e,this.safeMode=t,this.debugMode=r,this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numDataBuffers=0,this.profiling=!1,this.gradientScopeCount=0,this.customGradientDepth=0,this.keepTensors=new Set,this.tensorInfo=new WeakMap,this.activeScope={track:[],name:\"default scope\"},this.scopeStack=[this.activeScope],this.profiler=new Profiler(e),this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.moveData=function(e){this.write(e,this.readSync(e))},e.prototype.tidy=function(e,t,r){var n=this;void 0===r&&(r=!1);var o,a=null;if(null==t){if(\"function\"!=typeof e)throw new Error(\"Please provide a function to tidy()\");t=e}else{if(\"string\"!=typeof e&&!(e instanceof String))throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");if(\"function\"!=typeof t)throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");a=e}return this.scopedRun(function(){return n.startScope(a,r)},function(){return n.endScope(o,r)},function(){return(o=t())instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o})},e.prototype.scopedRun=function(e,t,r){e();try{var n=r();return t(),n}catch(e){throw t(),e}},e.prototype.nextTensorId=function(){return e.nextTensorId++},e.prototype.nextVariableId=function(){return e.nextVariableId++},e.prototype.runKernel=function(e,t,r){var n,o=this,a=[],i=function(e){return a.push(e),e},s=this.activeScope.name,u=this.numBytes,l=this.numTensors;if(this.scopedRun(function(){return o.customGradientDepth++},function(){return o.customGradientDepth--},function(){n=o.debugMode()?o.profiler.profileKernel(s,function(){return e(o.backend,i)}):e(o.backend,i)}),this.shouldRecord()){var c={id:this.nextTapeNodeId++,name:s,inputs:t,outputs:Array.isArray(n)?n:[n]};null!=r&&(c.gradient=function(e){return r(e,a)}),this.activeTape.push(c)}return this.profiling&&this.activeProfile.kernels.push({name:s,bytesAdded:this.numBytes-u,totalBytesSnapshot:this.numBytes,tensorsAdded:this.numTensors-l,totalTensorsSnapshot:this.numTensors,inputShapes:Object.keys(t).map(function(e){return t[e].shape}),outputShape:Array.isArray(n)?n.map(function(e){return e.shape}):n.shape}),n},e.prototype.registerTensor=function(e){var t=this.tensorInfo.has(e.dataId)?this.tensorInfo.get(e.dataId).refCount:0;this.numTensors++,0===t&&(this.numDataBuffers++,\"complex64\"!==e.dtype&&(this.numBytes+=sizeFromShape(e.shape)*bytesPerElement(e.dtype)),this.tensorInfo.set(e.dataId,{backend:this.backend,dtype:e.dtype,shape:e.shape,refCount:0}),this.backend.register(e.dataId,e.shape,e.dtype)),this.tensorInfo.get(e.dataId).refCount++,e instanceof Variable||this.track(e)},e.prototype.registerVariable=function(e){if(null!=this.registeredVariables[e.name])throw new Error(\"Variable with name \"+e.name+\" was already registered\");this.registeredVariables[e.name]=e},e.prototype.disposeTensor=function(e){this.tensorInfo.has(e.dataId)&&(this.keepTensors.has(e.id)&&this.keepTensors.delete(e.id),this.numTensors--,this.tensorInfo.get(e.dataId).refCount<=1?(this.tensorInfo.get(e.dataId).backend.disposeData(e.dataId),this.numDataBuffers--,\"complex64\"!==e.dtype&&(this.numBytes-=sizeFromShape(e.shape)*bytesPerElement(e.dtype)),this.tensorInfo.delete(e.dataId)):this.tensorInfo.get(e.dataId).refCount--)},e.prototype.disposeVariables=function(){for(var e in this.registeredVariables){var t=this.registeredVariables[e];this.disposeTensor(t),delete this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.profile=function(e){return __awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){return this.profiling=!0,t=this.numBytes,r=this.numTensors,this.activeProfile.kernels=[],this.activeProfile.result=e(),this.profiling=!1,this.activeProfile.peakBytes=Math.max.apply(Math,this.activeProfile.kernels.map(function(e){return e.totalBytesSnapshot})),this.activeProfile.newBytes=this.numBytes-t,this.activeProfile.newTensors=this.numTensors-r,[2,this.activeProfile]})})},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,r){var n={};e.forEach(function(e,t){n[t]=e});var o={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:n,outputs:[t],gradient:function(e){var t={};return r(e).forEach(function(e,r){t[r]=function(){return e}}),t}};this.activeTape.push(o)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.\");return this.keepTensors.add(e.id),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var r={track:[],name:\"unnamed scope\"};e&&(r.name=e),this.scopeStack.push(r),this.activeScope=r},e.prototype.endScope=function(e,t){var r=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var n=new Set(this.keepTensors),o=getTensorsInContainer(e);o.forEach(function(e){return n.add(e.id)});for(var a=0;a<this.activeScope.track.length;a++){var i=this.activeScope.track[a];n.has(i.id)||(null!=this.activeTape?o.push(i):i.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?{track:[],name:\"default scope\"}:this.scopeStack[this.scopeStack.length-1],o.forEach(function(e){!r.keepTensors.has(e.id)&&isTensorInList(e,s.track)&&r.track(e)})},e.prototype.gradients=function(e,t,r,n){var o=this;return void 0===n&&(n=!1),assert(t.length>0,\"gradients() received an empty list of xs.\"),this.tidy(\"gradients\",function(){var a=e();assert(a instanceof Tensor,\"The result y returned by f() must be a tensor.\");var i=getFilteredNodesXToY(o.activeTape,t,a);if(!n&&0===i.length&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");var s={};return s[a.id]=null==r?ones(a.shape):r,backpropagateGradients(s,i),{value:a,grads:t.map(function(e){return s[e.id]})}},!0)},e.prototype.customGrad=function(e){var t=this;return assert(isFunction(e),\"The f passed in customGrad(f) must be a function.\"),function(){for(var r,n,o=[],a=0;a<arguments.length;a++)o[a]=arguments[a];if(assert(o.every(function(e){return e instanceof Tensor}),\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\"),t.scopedRun(function(){return t.customGradientDepth++},function(){return t.customGradientDepth--},function(){n=t.tidy(e.name,function(){var t=e.apply(void 0,o),n=t.value,a=t.gradFunc;return assert(n instanceof Tensor,\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),assert(isFunction(a),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),r=a,n},!0)}),t.shouldRecord()){t.addTapeNode(o,n,function(e){var t=r(e),n=Array.isArray(t)?t:[t];return assert(n.length===o.length,\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),assert(n.every(function(e){return e instanceof Tensor}),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\"),n})}return n}},e.prototype.write=function(e,t){var r=this.tensorInfo.get(e);this.backend!==r.backend&&(r.backend.disposeData(e),r.backend=this.backend,this.backend.register(e,r.shape,r.dtype)),this.backend.write(e,t)},e.prototype.readSync=function(e){return this.tensorInfo.get(e).backend.readSync(e)},e.prototype.read=function(e){return this.tensorInfo.get(e).backend.read(e)},e.prototype.fromPixels=function(e,t){return this.backend.fromPixels(e,t)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){switch(n.label){case 0:return t=now(),[4,this.backend.time(e)];case 1:return(r=n.sent()).wallMs=now()-t,[2,r]}})})},e.prototype.track=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.\");return this.activeScope.track.push(e),e},e.nextTensorId=0,e.nextVariableId=0,e}();function ones(e){var t=makeOnesTypedArray(sizeFromShape(e),\"float32\");return Tensor.make(e,{values:t})}!function(e){e[e.NUMBER=0]=\"NUMBER\",e[e.BOOLEAN=1]=\"BOOLEAN\",e[e.STRING=2]=\"STRING\"}(Type||(Type={}));var MAX_TEXTURE_SIZE,URL_PROPERTIES=[{name:\"DEBUG\",type:Type.BOOLEAN},{name:\"IS_BROWSER\",type:Type.BOOLEAN},{name:\"WEBGL_LAZILY_UNPACK\",type:Type.BOOLEAN},{name:\"WEBGL_CPU_FORWARD\",type:Type.BOOLEAN},{name:\"WEBGL_PACK_BATCHNORMALIZATION\",type:Type.BOOLEAN},{name:\"WEBGL_CONV_IM2COL\",type:Type.BOOLEAN},{name:\"WEBGL_MAX_TEXTURE_SIZE\",type:Type.NUMBER},{name:\"WEBGL_PAGING_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",type:Type.NUMBER},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",type:Type.BOOLEAN},{name:\"WEBGL_VERSION\",type:Type.NUMBER},{name:\"WEBGL_RENDER_FLOAT32_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_FENCE_API_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_SIZE_UPLOAD_UNIFORM\",type:Type.NUMBER},{name:\"BACKEND\",type:Type.STRING},{name:\"EPSILON\",type:Type.NUMBER},{name:\"PROD\",type:Type.BOOLEAN},{name:\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",type:Type.BOOLEAN}];function isWebGLVersionEnabled(e){try{if(null!=getWebGLContext(e))return!0}catch(e){return!1}return!1}function getWebGLMaxTextureSize(e){if(null==MAX_TEXTURE_SIZE){var t=getWebGLContext(e);MAX_TEXTURE_SIZE=t.getParameter(t.MAX_TEXTURE_SIZE)}return MAX_TEXTURE_SIZE}function getWebGLDisjointQueryTimerVersion(e){if(0===e)return 0;var t=getWebGLContext(e);return hasExtension(t,\"EXT_disjoint_timer_query_webgl2\")&&2===e?2:hasExtension(t,\"EXT_disjoint_timer_query\")?1:0}function isRenderToFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;return createFloatTextureAndBindToFramebuffer(t,e)}function isDownloadFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1;if(!hasExtension(t,\"WEBGL_color_buffer_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;return createFloatTextureAndBindToFramebuffer(t,e)}function isWebGLFenceEnabled(e){return 2===e&&null!=getWebGLContext(e).fenceSync}function isChrome(){return\"undefined\"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}var TENSORFLOWJS_FLAGS_PREFIX=\"tfjsflags\";function getFeaturesFromURL(){var e={};if(\"undefined\"==typeof window||void 0===window.location||void 0===window.location.search)return e;var t=getQueryParams(window.location.search);if(TENSORFLOWJS_FLAGS_PREFIX in t){var r={};t[TENSORFLOWJS_FLAGS_PREFIX].split(\",\").forEach(function(e){var t=e.split(\":\"),n=t[0],o=t[1];r[n]=o}),URL_PROPERTIES.forEach(function(t){t.name in r&&(console.log(\"Setting feature override from URL \"+t.name+\": \"+r[t.name]),t.type===Type.NUMBER?e[t.name]=+r[t.name]:t.type===Type.BOOLEAN?e[t.name]=\"true\"===r[t.name]:t.type===Type.STRING?e[t.name]=r[t.name]:console.warn(\"Unknown URL param: \"+t.name+\".\"))})}return e}function hasExtension(e,t){return null!=e.getExtension(t)}function createFloatTextureAndBindToFramebuffer(e,t){var r=e.createFramebuffer(),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);var o=2===t?e.RGBA32F:e.RGBA;e.texImage2D(e.TEXTURE_2D,0,o,1,1,0,e.RGBA,e.FLOAT,null),e.bindFramebuffer(e.FRAMEBUFFER,r),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);var a=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(r),a}function getQueryParams(e){var t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(e){for(var r=[],n=1;n<arguments.length;n++)r[n-1]=arguments[n];return decodeParam(t,r[0],r[1]),r.join(\"=\")}),t}function decodeParam(e,t,r){e[decodeURIComponent(t)]=decodeURIComponent(r||\"\")}var EPSILON_FLOAT16=.001,TEST_EPSILON_FLOAT16=.1,EPSILON_FLOAT32=1e-7,TEST_EPSILON_FLOAT32=.001,Environment=function(){function e(e){this.features={},this.registry={},null!=e&&(this.features=e),this.get(\"DEBUG\")&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")}return e.setBackend=function(e,t){if(void 0===t&&(t=!1),!(e in ENV.registry))throw new Error(\"Backend name '\"+e+\"' not found in registry\");ENV.engine.backend=ENV.findBackend(e),ENV.backendName=e},e.getBackend=function(){return ENV.initEngine(),ENV.backendName},e.disposeVariables=function(){ENV.engine.disposeVariables()},e.memory=function(){return ENV.engine.memory()},e.profile=function(e){return ENV.engine.profile(e)},e.tidy=function(e,t,r){return void 0===r&&(r=!1),ENV.engine.tidy(e,t,r)},e.dispose=function(e){getTensorsInContainer(e).forEach(function(e){return e.dispose()})},e.keep=function(e){return ENV.engine.keep(e)},e.time=function(e){return ENV.engine.time(e)},e.prototype.get=function(e){return e in this.features?this.features[e]:(this.features[e]=this.evaluateFeature(e),this.features[e])},e.prototype.getFeatures=function(){return this.features},e.prototype.set=function(e,t){this.features[e]=t},e.prototype.getBestBackendName=function(){var e=this;if(0===Object.keys(this.registry).length)throw new Error(\"No backend found in registry.\");return Object.keys(this.registry).map(function(t){return{name:t,entry:e.registry[t]}}).sort(function(e,t){return t.entry.priority-e.entry.priority})[0].name},e.prototype.evaluateFeature=function(e){if(\"DEBUG\"===e)return!1;if(\"IS_BROWSER\"===e)return\"undefined\"!=typeof window;if(\"IS_NODE\"===e)return\"undefined\"!=typeof process&&void 0!==process.versions.node;if(\"IS_CHROME\"===e)return isChrome();if(\"WEBGL_CPU_FORWARD\"===e)return!0;if(\"WEBGL_PACK_BATCHNORMALIZATION\"===e)return!1;if(\"WEBGL_LAZILY_UNPACK\"===e)return!1;if(\"WEBGL_CONV_IM2COL\"===e)return!1;if(\"WEBGL_PAGING_ENABLED\"===e)return this.get(\"IS_BROWSER\")&&!this.get(\"PROD\");if(\"WEBGL_MAX_TEXTURE_SIZE\"===e)return getWebGLMaxTextureSize(this.get(\"WEBGL_VERSION\"));if(\"IS_TEST\"===e)return!1;if(\"BACKEND\"===e)return this.getBestBackendName();if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"===e){var t=this.get(\"WEBGL_VERSION\");return 0===t?0:getWebGLDisjointQueryTimerVersion(t)}if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\"===e)return this.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!isMobile();if(\"HAS_WEBGL\"===e)return this.get(\"WEBGL_VERSION\")>0;if(\"WEBGL_VERSION\"===e)return isWebGLVersionEnabled(2)?2:isWebGLVersionEnabled(1)?1:0;if(\"WEBGL_RENDER_FLOAT32_ENABLED\"===e)return isRenderToFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"===e)return isDownloadFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_FENCE_API_ENABLED\"===e)return isWebGLFenceEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_SIZE_UPLOAD_UNIFORM\"===e)return this.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0;if(\"TEST_EPSILON\"===e)return 32===this.backend.floatPrecision()?TEST_EPSILON_FLOAT32:TEST_EPSILON_FLOAT16;if(\"EPSILON\"===e)return 32===this.backend.floatPrecision()?EPSILON_FLOAT32:EPSILON_FLOAT16;if(\"PROD\"===e)return!1;if(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\"===e)return!this.get(\"PROD\");throw new Error(\"Unknown feature \"+e+\".\")},e.prototype.setFeatures=function(e){this.features=Object.assign({},e)},e.prototype.reset=function(){this.features=getFeaturesFromURL(),null!=this.globalEngine&&(this.globalEngine=null)},Object.defineProperty(e.prototype,\"backend\",{get:function(){return this.engine.backend},enumerable:!0,configurable:!0}),e.prototype.findBackend=function(e){return e in this.registry?this.registry[e].backend:null},e.prototype.registerBackend=function(e,t,r,n){var o=this;if(void 0===r&&(r=1),e in this.registry)return console.warn(e+\" backend was already registered. Reusing existing backend\"),null!=n&&n(function(){return o.engine}),!1;try{var a=t();return a.setDataMover({moveData:function(e){return o.engine.moveData(e)}}),this.registry[e]={backend:a,priority:r},!0}catch(t){return console.warn(\"Registration of backend \"+e+\" failed\"),console.warn(t.stack||t.message),!1}},e.prototype.removeBackend=function(e){if(!(e in this.registry))throw new Error(e+\" backend not found in registry\");this.registry[e].backend.dispose(),delete this.registry[e]},Object.defineProperty(e.prototype,\"engine\",{get:function(){return this.initEngine(),this.globalEngine},enumerable:!0,configurable:!0}),e.prototype.initEngine=function(){var e=this;if(null==this.globalEngine){this.backendName=this.get(\"BACKEND\");var t=this.findBackend(this.backendName);this.globalEngine=new Engine(t,!1,function(){return e.get(\"DEBUG\")})}},e}();function getGlobalNamespace(){var e;if(\"undefined\"!=typeof window)e=window;else{if(\"undefined\"==typeof process)throw new Error(\"Could not find a global object\");e=process}return e}function getOrMakeEnvironment(){var e=getGlobalNamespace();return null==e.ENV&&(e.ENV=new Environment(getFeaturesFromURL()),setTensorTracker(function(){return e.ENV.engine})),e.ENV}var ENV=getOrMakeEnvironment(),environment=Object.freeze({Environment:Environment,ENV:ENV});function grad(e){return assert(isFunction(e),\"The f passed in grad(f) must be a function\"),function(t,r){return assert(t instanceof Tensor,\"The x passed in grad(f)(x) must be a tensor\"),assert(null==r||r instanceof Tensor,\"The dy passed in grad(f)(x, dy) must be a tensor\"),ENV.engine.tidy(function(){var n=ENV.engine.gradients(function(){return e(t)},[t],r),o=n.value,a=n.grads;return null!=r&&assertShapesMatch(o.shape,r.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),checkGrads(a),a[0]})}}function grads(e){return assert(isFunction(e),\"The f passed in grads(f) must be a function\"),function(t,r){return assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in grads(f)(args) must be an array of tensors\"),assert(null==r||r instanceof Tensor,\"The dy passed in grads(f)(args, dy) must be a tensor\"),ENV.engine.tidy(function(){var n=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,r),o=n.value,a=n.grads;return null!=r&&assertShapesMatch(o.shape,r.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(a),a})}}function valueAndGrad(e){return assert(isFunction(e),\"The f passed in valueAndGrad(f) must be a function\"),function(t,r){assert(t instanceof Tensor,\"The x passed in valueAndGrad(f)(x) must be a tensor\"),assert(null==r||r instanceof Tensor,\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");var n=ENV.engine.gradients(function(){return e(t)},[t],r),o=n.grads,a=n.value;return checkGrads(o),{grad:o[0],value:a}}}function valueAndGrads(e){return assert(isFunction(e),\"The f passed in valueAndGrads(f) must be a function\"),function(t,r){assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),assert(null==r||r instanceof Tensor,\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");var n=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,r);return null!=r&&assertShapesMatch(n.value.shape,r.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(n.grads),n}}function variableGrads(e,t){if(assert(isFunction(e),\"The f passed in variableGrads(f) must be a function\"),assert(null==t||Array.isArray(t)&&t.every(function(e){return e instanceof Variable}),\"The varList passed in variableGrads(f, varList) must be an array of variables\"),null==t)for(var r in t=[],ENV.engine.registeredVariables)t.push(ENV.engine.registeredVariables[r]);var n=t.length;assert((t=t.filter(function(e){return e.trainable})).length>0,\"variableGrads() expects at least one of the input variables to be trainable, but none of the \"+n+\" variables is trainable.\");var o=ENV.engine.gradients(e,t,null,!0),a=o.value,i=o.grads;assert(i.some(function(e){return null!=e}),\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),assert(0===a.rank,\"The f passed in variableGrads(f) must return a scalar, but it returned a rank-\"+a.rank+\" tensor\");var s={};return t.forEach(function(e,t){null!=i[t]&&(s[e.name]=i[t])}),{value:a,grads:s}}function customGrad(e){return ENV.engine.customGrad(e)}function checkGrads(e){if(e.filter(function(e){return null==e}).length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that\\n    the f you passed encloses all operations that lead from x to y.\")}var tidy=Environment.tidy,keep=Environment.keep,dispose=Environment.dispose,time=Environment.time,profile=Environment.profile;function warn(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.get(\"IS_TEST\")||console.warn.apply(console,e)}function getReshaped(e,t,r,n){void 0===n&&(n=!0);var o=[];if(n)(o=o.concat(t.slice(0))).push(e[0]/r),o=o.concat(e.slice(1));else{o=o.concat(e[0]);for(var a=t.length,i=0;i<a;++i)o=o.concat([e[i+1]/t[i],t[i]]);o=o.concat(e.slice(a+1))}return o}function getPermuted(e,t,r){void 0===r&&(r=!0);var n=[];if(r){n.push(t);for(var o=t+1;o<e;++o)o<=2*t?(n.push(o),n.push(o-(t+1))):n.push(o)}else{var a=[],i=[];for(o=1;o<e;++o)o>=2*t+1||o%2==1?i.push(o):a.push(o);n.push.apply(n,a),n.push(0),n.push.apply(n,i)}return n}function getReshapedPermuted(e,t,r,n){void 0===n&&(n=!0);var o=[];n?o.push(e[0]/r):o.push(e[0]*r);for(var a=1;a<e.length;++a)a<=t.length?n?o.push(t[a-1]*e[a]):o.push(e[a]/t[a-1]):o.push(e[a]);return o}function getSliceBeginCoords(e,t){for(var r=[0],n=0;n<t;++n)r.push(e[n][0]);return r}function getSliceSize(e,t,r){for(var n=e.slice(0,1),o=0;o<r;++o)n.push(e[o+1]-t[o][0]-t[o][1]);return n}function axesAreInnerMostDims(e,t){for(var r=0;r<e.length;++r)if(e[e.length-r-1]!==t-1-r)return!1;return!0}function combineLocations(e,t,r){for(var n=e.length+t.length,o=[],a=0,i=0,s=0;s<n;s++)-1===r.indexOf(s)?o.push(e[a++]):o.push(t[i++]);return o}function computeOutAndReduceShapes(e,t){for(var r=[],n=e.length,o=0;o<n;o++)-1===t.indexOf(o)&&r.push(e[o]);return[r,t.map(function(t){return e[t]})]}function expandShapeToKeepDim(e,t){return combineLocations(e,t.map(function(e){return 1}),t)}function parseAxisParam(e,t){var r=t.length;return assert((e=null==e?t.map(function(e,t){return t}):[].concat(e)).every(function(e){return e>=-r&&e<r}),\"All values in axis param must be in range [-\"+r+\", \"+r+\") but got axis \"+e),assert(e.every(function(e){return isInt(e)}),\"All values in axis param must be integers but got axis \"+e),e.map(function(e){return e<0?r+e:e})}function assertAxesAreInnerMostDims(e,t,r){assert(axesAreInnerMostDims(t,r),e+\" supports only inner-most axes for now. Got axes \"+t+\" and rank-\"+r+\" input.\")}function getAxesPermutation(e,t){if(axesAreInnerMostDims(e,t))return null;for(var r=[],n=0;n<t;++n)-1===e.indexOf(n)&&r.push(n);return e.forEach(function(e){return r.push(e)}),r}function getUndoAxesPermutation(e){return e.map(function(e,t){return[t,e]}).sort(function(e,t){return e[1]-t[1]}).map(function(e){return e[0]})}function getInnerMostAxes(e,t){for(var r=[],n=t-e;n<t;++n)r.push(n);return r}function assertParamsConsistent(e,t){var r=e[0].length;e.forEach(function(e,t){assert(e.length===r,\"Error in concat\"+r+\"D: rank of tensors[\"+t+\"] must be the same as the rank of the rest (\"+r+\")\")}),assert(t>=0&&t<r,\"Error in concat\"+r+\"D: axis must be between 0 and \"+(r-1)+\".\");var n=e[0];e.forEach(function(e,o){for(var a=0;a<r;a++)assert(a===t||e[a]===n[a],\"Error in concat\"+r+\"D: Shape of tensors[\"+o+\"] (\"+e+\") does not match the shape of the rest (\"+n+\") along the non-concatenated axis \"+o+\".\")})}function computeOutShape(e,t){for(var r=e[0].slice(),n=1;n<e.length;n++)r[t]+=e[n][t];return r}function prepareAndValidate(e,t){if(e.rank<1)throw new Error(\"tf.gatherND() expects the input to be rank 1 or higher, but the rank was \"+e.rank+\".\");if(t.rank<1)throw new Error(\"tf.gatherND() expects the indices to be rank 1 or higher, but the rank was \"+t.rank+\".\");if(\"int32\"!==t.dtype)throw new Error(\"tf.gatherND() expects the indices to be int32 type, but the dtype was \"+t.dtype+\".\");if(t.shape[t.rank-1]>e.rank)throw new Error(\"index innermost dimension length must be <= tensor rank; saw: \"+t.shape[t.rank-1]+\" vs. \"+e.rank);if(0===e.size)throw new Error(\"Requested more than 0 entries, but input is empty. Input shape: \"+e.shape+\".\");for(var r=t.shape,n=r[r.length-1],o=1,a=0;a<r.length-1;++a)o*=r[a];var i=e.shape,s=r.slice();s.pop();var u=1;for(a=n;a<e.rank;++a)u*=i[a],s.push(i[a]);var l=computeStrides(e.shape).map(function(e){return e/u}).concat([1]).slice(0,n);return[s,o,u,l]}var PARALLELIZE_THRESHOLD=30;function computeOptimalWindowSize(e){return e<=PARALLELIZE_THRESHOLD?e:nearestDivisor(e,Math.floor(Math.sqrt(e)))}function validateUpdateShape(e,t,r){var n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,a=\"Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: \"+r.shape+\", indices.shape: \"+t.shape+\", shape: \"+e+\", sliceDim: \"+n+\", and batchDim: \"+o+\".\";if(r.rank<o)throw new Error(a+\" update.rank < \"+o+\". \");if(e.length<n+(r.rank-o))throw new Error(a+\" Output shape length < \"+(n+(r.rank-o)));if(r.rank!==o+e.length-n)throw new Error(a+\" update.rank != \"+(o+e.length-n));for(var i=0;i<o;++i)if(r.shape[i]!==t.shape[i])throw new Error(a+\" updates.shape[\"+i+\"] (\"+r.shape[i]+\") != indices.shape[\"+i+\"] (\"+t.shape[i]+\").\");for(i=0;i<r.rank-o;++i)if(r.shape[i+o]!==e[i+n])throw new Error(a+\" updates.shape[\"+(i+o)+\"] (\"+r.shape[i+o]+\") != shape[\"+(i+o)+\"] (\"+e[i+o]+\")\")}function validateInput(e,t,r){if(t.rank<1)throw new Error(\"tf.scatterND() expects the indices to be rank 1 or higher, but the rank was \"+t.rank+\".\");if(e.rank<1)throw new Error(\"tf.scatterND() expects the updates to be rank 1 or higher, but the rank was \"+e.rank+\".\");if(\"int32\"!==t.dtype)throw new Error(\"The dtype of 'indices' should be int32, but got dtype: \"+t.dtype);if(r.length<1)throw new Error(\"Output rank must be greater or equal to 1, but got shape: \"+r);if(0===r.length){if(0===t.size)throw new Error(\"Indices specified for empty output. indices shape: \"+t.shape);if(0===e.size)throw new Error(\"Updates specified for empty output. updates shape: \"+e.shape)}validateUpdateShape(r,t,e)}function calculateShapes(e,t,r){for(var n=t.rank>1?t.shape[t.rank-1]:1,o=r.length,a=1,i=n;i<o;++i)a*=r[i];var s=n<1?1:n,u=t.size/s,l=computeStrides(r).concat([1]);return{sliceRank:n,numUpdates:u,sliceSize:a,strides:l.slice(l.length-n,l.length),outputSize:sizeFromShape(r)}}function segOpComputeOptimalWindowSize(e,t){var r,n=!1;for(e<=PARALLELIZE_THRESHOLD?(r=e,n=!0):r=nearestDivisor(e,Math.floor(Math.sqrt(e)));!n;){if(r>t||r===e){n=!0;break}r=nearestDivisor(e,r+1)}return r}function computeOutShape$1(e,t,r){for(var n=[],o=e.length,a=0;a<o;a++)a!==t?n.push(e[a]):n.push(r);return n}function assertParamsValid(e,t,r){assert(e.rank===t.length,\"Error in slice\"+e.rank+\"D: Length of begin \"+t+\" must match the rank of the array (\"+e.rank+\").\"),assert(e.rank===r.length,\"Error in slice\"+e.rank+\"D: Length of size \"+r+\" must match the rank of the array (\"+e.rank+\").\");for(var n=0;n<e.rank;++n)assert(t[n]+r[n]<=e.shape[n],\"Error in slice\"+e.rank+\"D: begin[\"+n+\"] + size[\"+n+\"] (\"+(t[n]+r[n])+\") would overflow input.shape[\"+n+\"] (\"+e.shape[n]+\")\")}function getStridedSlicedInfo(e,t,r,n,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");for(var l=[],c=[],p=[],d=0;d<e.length;d++)l[d]=startForAxis(o,t,n,e,d),c[d]=stopForAxis(a,r,n,e,d),u&1<<d&&(c[d]=l[d]+1,p.push(d));var h=new Array(e.length).fill(0);return h=h.map(function(e,t){for(var r=0,o=l[t];!(n[t]>0?o>=c[t]:o<=c[t]);o+=n[t])r+=1;return r}),[l,h,p]}function startForAxis(e,t,r,n,o){var a=t[o];e&1<<o&&(a=r[o]>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var i=n[o];return a<0&&(a+=i),a=clamp(0,a,i-1)}function stopForAxis(e,t,r,n,o){var a=t[o];e&1<<o&&(a=r[o]>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var i=n[o];return a<0&&(a+=i),a=r[o]>0?clamp(0,a,i):clamp(-1,a,i-1)}function inferShape(e){var t=e;if(isTypedArray(e))return[e.length];if(!Array.isArray(e))return[];for(var r=[];t instanceof Array;)r.push(t.length),t=t[0];return e instanceof Array&&ENV.get(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&deepAssertShapeConsistency(e,r,[]),r}function deepAssertShapeConsistency(e,t,r){if(r=r||[],e instanceof Array){assert(t.length>0,function(){return\"Element arr[\"+r.join(\"][\")+\"] should be a primitive, but is an array of \"+e.length+\" elements\"}),assert(e.length===t[0],function(){return\"Element arr[\"+r.join(\"][\")+\"] should have \"+t[0]+\" elements, but has \"+e.length+\" elements\"});for(var n=t.slice(1),o=0;o<e.length;++o)deepAssertShapeConsistency(e[o],n,r.concat(o))}else assert(0===t.length,function(){return\"Element arr[\"+r.join(\"][\")+\"] is a primitive, but should be an array of \"+t[0]+\" elements\"})}function convertToTensor(e,t,r,n){if(void 0===n&&(n=\"float32\"),n=n||\"float32\",e instanceof Tensor)return e;if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"Argument '\"+t+\"' passed to '\"+r+\"' must be a Tensor or TensorLike, but got \"+e.constructor.name);var o=inferShape(e);return isTypedArray(e)||Array.isArray(e)||(e=[e]),Tensor.make(o,{values:toTypedArray(e,n,ENV.get(\"DEBUG\"))},n)}function convertToTensorArray(e,t,r){if(!Array.isArray(e))throw new Error(\"Argument \"+t+\" passed to \"+r+\" must be a `Tensor[]` or `TensorLike[]`\");return e.map(function(e,n){return convertToTensor(e,t+\"[\"+n+\"]\",r)})}function op(e){var t=Object.keys(e);if(1!==t.length)throw new Error(\"Please provide an object with a single key (operation name) mapping to a function. Got an object with \"+t.length+\" keys.\");var r=t[0],n=e[r];r.endsWith(\"_\")&&(r=r.substring(0,r.length-1));var o=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.engine.startScope(r);try{var o=n.apply(void 0,e);return o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),ENV.engine.endScope(o),o}catch(e){throw ENV.engine.endScope(null),e}};return Object.defineProperty(o,\"name\",{value:r,configurable:!0}),o}function softmax_(e,t){void 0===t&&(t=-1);var r=convertToTensor(e,\"logits\",\"softmax\");if(-1===t&&(t=r.rank-1),t!==r.rank-1)throw Error(\"Softmax along a non-last dimension is not yet supported. Logits was rank \"+r.rank+\" and dim was \"+t);return customGrad(function(e){var r=e.logSumExp([t],!0),n=e.toFloat().sub(r).exp();return{value:n,gradFunc:function(e){var r=e.mul(n);return r.sub(r.sum([t],!0).mul(n))}}})(r)}function logSoftmax_(e,t){void 0===t&&(t=-1);var r=convertToTensor(e,\"logits\",\"logSoftmax\");if(-1===t&&(t=r.rank-1),t!==r.rank-1)throw Error(\"Log Softmax along a non-last dimension is not yet supported. Logits was rank \"+r.rank+\" and axis was \"+t);return customGrad(function(e){var r=e.max(t,!0),n=e.sub(r),o=n.toFloat().sub(n.exp().sum(t,!0).log());return{value:o,gradFunc:function(e){var r=o.exp();return e.sub(e.sum(t,!0).mul(r))}}})(r)}var softmax=op({softmax_:softmax_}),logSoftmax=op({logSoftmax_:logSoftmax_});function complex_(e,t){var r=convertToTensor(e,\"real\",\"complex\"),n=convertToTensor(t,\"imag\",\"complex\");return assertShapesMatch(r.shape,n.shape,\"real and imag shapes, \"+r.shape+\" and \"+n.shape+\", must match in call to tf.complex().\"),ENV.engine.runKernel(function(e){return e.complex(r,n)},{$real:r,$imag:n})}function real_(e){var t=convertToTensor(e,\"input\",\"real\");return ENV.engine.runKernel(function(e){return e.real(t)},{$input:t})}function imag_(e){var t=convertToTensor(e,\"input\",\"imag\");return ENV.engine.runKernel(function(e){return e.imag(t)},{$input:t})}var complex=op({complex_:complex_}),real=op({real_:real_}),imag=op({imag_:imag_});function tensor(e,t,r){if(void 0===r&&(r=\"float32\"),\"complex64\"===r)throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"values passed to tensor(values) must be an array of numbers or booleans, or a TypedArray\");var n=inferShape(e);return null!=t&&1!==n.length&&assertShapesMatch(t,n,\"Error creating a new Tensor. Inferred shape (\"+n+\") does not match the provided shape (\"+t+\"). \"),isTypedArray(e)||Array.isArray(e)||(e=[e]),t=t||n,Tensor.make(t,{values:toTypedArray(e,r,ENV.get(\"DEBUG\"))},r)}function scalar(e,t){if(void 0===t&&(t=\"float32\"),(isTypedArray(e)||Array.isArray(e))&&\"complex64\"!==t)throw new Error(\"Error creating a new Scalar: value must be a primitive (number|boolean)\");return tensor(e,[],t)}function tensor1d(e,t){void 0===t&&(t=\"float32\"),assertNonNull(e);var r=inferShape(e);if(1!==r.length)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return tensor(e,r,t)}function tensor2d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&2!==t.length)throw new Error(\"tensor2d() requires shape to have two numbers\");var n=inferShape(e);if(2!==n.length&&1!==n.length)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return tensor(e,t=t||n,r)}function tensor3d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&3!==t.length)throw new Error(\"tensor3d() requires shape to have three numbers\");var n=inferShape(e);if(3!==n.length&&1!==n.length)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function tensor4d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&4!==t.length)throw new Error(\"tensor4d() requires shape to have four numbers\");var n=inferShape(e);if(4!==n.length&&1!==n.length)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function tensor5d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&5!==t.length)throw new Error(\"tensor5d() requires shape to have five numbers\");var n=inferShape(e);if(5!==n.length&&1!==n.length)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function tensor6d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&6!==t.length)throw new Error(\"tensor6d() requires shape to have six numbers\");var n=inferShape(e);if(6!==n.length&&1!==n.length)throw new Error(\"tensor6d() requires values to be number[][][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function ones$1(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var r=ones$1(e,\"float32\"),n=ones$1(e,\"float32\");return complex(r,n)}var o=makeOnesTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function zeros(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var r=zeros(e,\"float32\"),n=zeros(e,\"float32\");return complex(r,n)}var o=makeZerosTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function fill(e,t,r){void 0===r&&(r=\"float32\");var n=getTypedArrayFromDType(r,sizeFromShape(e));return n.fill(t),Tensor.make(e,{values:n},r)}function onesLike_(e){var t=convertToTensor(e,\"x\",\"onesLike\");return ones$1(t.shape,t.dtype)}function zerosLike_(e){var t=convertToTensor(e,\"x\",\"zerosLike\");return zeros(t.shape,t.dtype)}function linspace(e,t,r){if(0===r)throw new Error(\"Cannot request zero samples\");var n=(t-e)/(r-1),o=makeZerosTypedArray(r,\"float32\");o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+n;return tensor1d(o,\"float32\")}function range(e,t,r,n){if(void 0===r&&(r=1),void 0===n&&(n=\"float32\"),0===r)throw new Error(\"Cannot have a step of zero\");if(e===t||e<t&&r<0||t<e&&r>1)return zeros([0],n);var o=makeZerosTypedArray(Math.abs(Math.ceil((t-e)/r)),n);t<e&&1===r&&(r=-1),o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+r;return tensor1d(o,n)}var DType,Rank,UpcastInt32AndMap,UpcastBoolAndMap,UpcastFloat32AndMap,UpcastComplex64AndMap,onesLike=op({onesLike_:onesLike_}),zerosLike=op({zerosLike_:zerosLike_});!function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\"}(DType||(DType={})),function(e){e.R0=\"R0\",e.R1=\"R1\",e.R2=\"R2\",e.R3=\"R3\",e.R4=\"R4\",e.R5=\"R5\",e.R6=\"R6\"}(Rank||(Rank={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"int32\",e.complex64=\"complex64\"}(UpcastInt32AndMap||(UpcastInt32AndMap={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\",e.complex64=\"complex64\"}(UpcastBoolAndMap||(UpcastBoolAndMap={})),function(e){e.float32=\"float32\",e.int32=\"float32\",e.bool=\"float32\",e.complex64=\"complex64\"}(UpcastFloat32AndMap||(UpcastFloat32AndMap={})),function(e){e.float32=\"complex64\",e.int32=\"complex64\",e.bool=\"complex64\",e.complex64=\"complex64\"}(UpcastComplex64AndMap||(UpcastComplex64AndMap={}));var upcastTypeMap={float32:UpcastFloat32AndMap,int32:UpcastInt32AndMap,bool:UpcastBoolAndMap,complex64:UpcastComplex64AndMap};function upcastType(e,t){return upcastTypeMap[e][t]}function sumOutType(e){return upcastType(e,\"int32\")}var DataStorage=function(){function e(e){this.dataMover=e,this.data=new WeakMap}return e.prototype.get=function(e){return this.data.has(e)||this.dataMover.moveData(e),this.data.get(e)},e.prototype.set=function(e,t){this.data.set(e,t)},e.prototype.has=function(e){return this.data.has(e)},e.prototype.delete=function(e){return this.data.delete(e)},e}(),KernelBackend=function(){function e(){}return e.prototype.time=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.read=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.readSync=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.disposeData=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.write=function(e,t){throw new Error(\"Not yet implemented.\")},e.prototype.fromPixels=function(e,t){throw new Error(\"Not yet implemented.\")},e.prototype.register=function(e,t,r){throw new Error(\"Not yet implemented.\")},e.prototype.memory=function(){throw new Error(\"Not yet implemented.\")},e.prototype.floatPrecision=function(){throw new Error(\"Not yet implemented\")},e.prototype.batchMatMul=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.slice=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.stridedSlice=function(e,t,r,n,o,a,i,s,u){throw new Error(\"Not yet implemented\")},e.prototype.reverse=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.concat=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.neg=function(e){throw new Error(\"Not yet implemented\")},e.prototype.add=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.addN=function(e){throw new Error(\"Not yet implemented\")},e.prototype.subtract=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.multiply=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.realDivide=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.floorDiv=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.sum=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.prod=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.unsortedSegmentSum=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.argMin=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.argMax=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.equal=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.notEqual=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.less=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.lessEqual=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.greater=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.greaterEqual=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.logicalNot=function(e){throw new Error(\"Not yet implemented\")},e.prototype.logicalAnd=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.logicalOr=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.where=function(e){throw new Error(\"Not yet implemented\")},e.prototype.select=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.topk=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.min=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.minimum=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.mod=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.max=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.maximum=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.all=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.any=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.squaredDifference=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.ceil=function(e){throw new Error(\"Not yet implemented\")},e.prototype.floor=function(e){throw new Error(\"Not yet implemented\")},e.prototype.round=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sign=function(e){throw new Error(\"Not yet implemented\")},e.prototype.pow=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.exp=function(e){throw new Error(\"Not yet implemented\")},e.prototype.expm1=function(e){throw new Error(\"Not yet implemented\")},e.prototype.log=function(e){throw new Error(\"Not yet implemented\")},e.prototype.log1p=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sqrt=function(e){throw new Error(\"Not yet implemented\")},e.prototype.rsqrt=function(e){throw new Error(\"Not yet implemented\")},e.prototype.square=function(e){throw new Error(\"Not yet implemented\")},e.prototype.reciprocal=function(e){throw new Error(\"Not yet implemented\")},e.prototype.relu=function(e){throw new Error(\"Not yet implemented\")},e.prototype.elu=function(e){throw new Error(\"Not yet implemented\")},e.prototype.eluDer=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.selu=function(e){throw new Error(\"Not yet implemented\")},e.prototype.int=function(e){throw new Error(\"Not yet implemented\")},e.prototype.clip=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.abs=function(e){throw new Error(\"Not yet implemented\")},e.prototype.complexAbs=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sigmoid=function(e){throw new Error(\"Not yet implemented\")},e.prototype.softplus=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sin=function(e){throw new Error(\"Not yet implemented\")},e.prototype.cos=function(e){throw new Error(\"Not yet implemented\")},e.prototype.tan=function(e){throw new Error(\"Not yet implemented\")},e.prototype.asin=function(e){throw new Error(\"Not yet implemented\")},e.prototype.acos=function(e){throw new Error(\"Not yet implemented\")},e.prototype.atan=function(e){throw new Error(\"Not yet implemented\")},e.prototype.atan2=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.sinh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.cosh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.tanh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.asinh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.acosh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.atanh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.erf=function(e){throw new Error(\"Not yet implemented\")},e.prototype.step=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.conv2d=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.conv2dDerInput=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.conv2dDerFilter=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.depthwiseConv2D=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.depthwiseConv2DDerInput=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.depthwiseConv2DDerFilter=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.maxPool=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.maxPoolBackprop=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.avgPool=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.avgPoolBackprop=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.reshape=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.cast=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.tile=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.pad=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.transpose=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.gather=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.gatherND=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.scatterND=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.batchToSpaceND=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.spaceToBatchND=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.resizeBilinear=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.resizeBilinearBackprop=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.resizeNearestNeighbor=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.resizeNearestNeighborBackprop=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.batchNormalization=function(e,t,r,n,o,a){throw new Error(\"Not yet implemented\")},e.prototype.localResponseNormalization4D=function(e,t,r,n,o){throw new Error(\"Not yet implemented\")},e.prototype.LRNGrad=function(e,t,r,n,o,a,i){throw new Error(\"Not yet implemented\")},e.prototype.multinomial=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.oneHot=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.cumsum=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.nonMaxSuppression=function(e,t,r,n,o){throw new Error(\"Not yet implemented\")},e.prototype.fft=function(e){throw new Error(\"Not yet implemented\")},e.prototype.ifft=function(e){throw new Error(\"Not yet implemented\")},e.prototype.complex=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.real=function(e){throw new Error(\"Not yet implemented\")},e.prototype.imag=function(e){throw new Error(\"Not yet implemented\")},e.prototype.cropAndResize=function(e,t,r,n,o,a){throw new Error(\"Not yet implemented\")},e.prototype.depthToSpace=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.split=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.sparseToDense=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.setDataMover=function(e){throw new Error(\"Not yet implemented\")},e.prototype.dispose=function(){throw new Error(\"Not yet implemented\")},e}();function castTensor(e,t,r){if(\"complex64\"===t){if(\"complex64\"===e.dtype)return e.clone();var n=zeros(e.shape),o=e.toFloat(),a=r.complex(o,n);return n.dispose(),o.dispose(),a}if(!hasEncodingLoss(e.dtype,t))return Tensor.make(e.shape,{dataId:e.dataId},t);if(\"complex64\"===e.dtype){var i=r.real(e);a=i.cast(t);return i.dispose(),a}if(\"int32\"===t)return r.int(e);if(\"bool\"===t){var s=scalar(0,e.dtype);a=r.notEqual(e,s);return s.dispose(),a}throw new Error(\"Error in Cast: unknown dtype argument (\"+t+\")\")}function reshapeTensor(e,t){return Tensor.make(t,{dataId:e.dataId},e.dtype)}function mergeRealAndImagArrays(e,t){if(e.length!==t.length)throw new Error(\"Cannot merge real and imag arrays of different lengths. real:\"+e.length+\", imag: \"+t.length+\".\");for(var r=new Float32Array(2*e.length),n=0;n<r.length;n+=2)r[n]=e[n/2],r[n+1]=t[n/2];return r}function splitRealAndImagArrays(e){for(var t=new Float32Array(e.length/2),r=new Float32Array(e.length/2),n=0;n<e.length;n+=2)t[n/2]=e[n],r[n/2]=e[n+1];return{real:t,imag:r}}function complexWithEvenIndex(e){for(var t=Math.ceil(e.length/4),r=new Float32Array(t),n=new Float32Array(t),o=0;o<e.length;o+=4)r[Math.floor(o/4)]=e[o],n[Math.floor(o/4)]=e[o+1];return{real:r,imag:n}}function complexWithOddIndex(e){for(var t=Math.floor(e.length/4),r=new Float32Array(t),n=new Float32Array(t),o=2;o<e.length;o+=4)r[Math.floor(o/4)]=e[o],n[Math.floor(o/4)]=e[o+1];return{real:r,imag:n}}function getComplexWithIndex(e,t){return{real:e[2*t],imag:e[2*t+1]}}function assignToTypedArray(e,t,r,n){e[2*n]=t,e[2*n+1]=r}function exponents(e,t){for(var r=new Float32Array(e/2),n=new Float32Array(e/2),o=0;o<Math.ceil(e/2);o++){var a=(t?2:-2)*Math.PI*(o/e);r[o]=Math.cos(a),n[o]=Math.sin(a)}return{real:r,imag:n}}function exponent(e,t,r){var n=(r?2:-2)*Math.PI*(e/t);return{real:Math.cos(n),imag:Math.sin(n)}}function nonMaxSuppressionImpl(e,t,r,n,o){for(var a=Array.from(t).map(function(e,t){return{score:e,boxIndex:t}}).filter(function(e){return e.score>o}).sort(function(e,t){return t.score-e.score}),i=[],s=0;s<a.length;s++){var u=a[s],l=u.score,c=u.boxIndex;if(l<o)break;for(var p=!1,d=i.length-1;d>=0;--d){if(intersectionOverUnion(e,c,i[d])>=n){p=!0;break}}if(!p&&(i.push(c),i.length>=r))break}return tensor1d(i,\"int32\")}function intersectionOverUnion(e,t,r){var n=e.subarray(4*t,4*t+4),o=e.subarray(4*r,4*r+4),a=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),s=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),d=Math.max(o[1],o[3]),h=(s-a)*(u-i),f=(p-l)*(d-c);if(h<=0||f<=0)return 0;var m=Math.max(a,l),g=Math.max(i,c),v=Math.min(s,p),y=Math.min(u,d),x=Math.max(v-m,0)*Math.max(y-g,0);return x/(h+f-x)}function split(e,t,r){var n=Array(e.rank).fill(0),o=e.shape.slice();return t.map(function(t){o[r]=t;var a=e.slice(n,o);return n[r]+=t,a})}function topkImpl(e,t,r,n,o){for(var a=t[t.length-1],i=[e.length/a,a],s=i[0],u=i[1],l=getTypedArrayFromDType(r,s*n),c=getTypedArrayFromDType(\"int32\",s*n),p=0;p<s;p++){for(var d=p*u,h=e.subarray(d,d+u),f=[],m=0;m<h.length;m++)f.push({value:h[m],index:m});f.sort(function(e,t){return t.value-e.value});var g=p*n,v=l.subarray(g,g+n),y=c.subarray(g,g+n);for(m=0;m<n;m++)v[m]=f[m].value,y[m]=f[m].index}var x=t.slice();return x[x.length-1]=n,[tensor(l,x,r),tensor(c,x,\"int32\")]}var ArgMinMaxProgram=function(){return function(e,t,r){this.variableNames=[\"A\"];var n=e.windowSize,o=e.batchSize,a=e.inSize,i=Math.ceil(a/n);r||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[o,i];var s=\"max\"===t?\">\":\"<\",u=r?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+n+\";\\n\\n        int bestIndex = inOffset;\\n        float bestValue = getA(batch, bestIndex);\\n\\n        for (int i = 0; i < \"+n+\"; i++) {\\n          int inIdx = \"+u+\";\\n          float candidate = getA(batch, inIdx);\\n          if (candidate \"+s+\" bestValue) {\\n            bestValue = candidate;\\n            bestIndex = inIdx;\\n          }\\n        }\\n        setOutput(float(bestIndex));\\n      }\\n    \"}}(),AvgPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;var t=e.filterHeight,r=e.filterWidth,n=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,p=1/(t*r);this.userCode=\"\\n      const ivec2 pads = ivec2(\"+l+\", \"+c+\");\\n      const float avgMultiplier = float(\"+p+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\";\\n            wR += \"+a+\") {\\n          float dyR = float(dyRCorner + wR) / \"+n+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+u+\";\\n            wC+= \"+i+\") {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n\\n            dotProd += dyValue * avgMultiplier;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}();function getBroadcastDims(e,t){for(var r=e.length,n=[],o=0;o<r;o++){var a=r-1-o,i=e[a]||1;(t[t.length-1-o]||1)>1&&1===i&&n.unshift(a)}return n}function getReductionAxes(e,t){for(var r=[],n=0;n<t.length;n++){var o=e[e.length-n-1],a=t.length-n-1,i=t[a];(null==o||1===o&&i>1)&&r.unshift(a)}return r}function broadcastDimsAreOuter(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}function assertAndGetBroadcastShape(e,t){for(var r=[],n=Math.max(e.length,t.length),o=0;o<n;o++){var a=e[e.length-o-1];null==a&&(a=1);var i=t[t.length-o-1];if(null==i&&(i=1),1===a)r.unshift(i);else if(1===i)r.unshift(a);else{if(a!==i)throw Error(\"Operands could not be broadcast together with shapes \"+e+\" and \"+t+\".\");r.unshift(a)}}return r}var BatchNormProgram=function(){return function(e,t,r,n,o,a){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,r);var i=\"0.0\";null!=n&&(assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");var s=\"1.0\";null!=o&&(assertAndGetBroadcastShape(e,o),this.variableNames.push(\"scale\"),s=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float x = getXAtOutCoords();\\n        float mean = getMeanAtOutCoords();\\n        float variance = getVarianceAtOutCoords();\\n        float offset = \"+i+\";\\n        float scale = \"+s+\";\\n        float inv = scale * inversesqrt(variance + float(\"+a+\"));\\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\\n      }\\n    \"}}(),BatchNormPackedProgram=function(){return function(e,t,r,n,o,a){this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,r);var i=broadcastSample(\"mean\",t.length),s=broadcastSample(\"variance\",r.length),u=\"vec4 offset = vec4(0.0)\";null!=n&&(assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),u=broadcastSample(\"offset\",n.length));var l=\"vec4 scale = vec4(1.0)\";null!=o&&(assertAndGetBroadcastShape(e,o),this.variableNames.push(\"scale\"),l=broadcastSample(\"scale\",o.length)),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec4 rc = getOutputCoords();\\n\\n        \"+u+\";\\n        \"+l+\";\\n\\n        vec4 x = getX(rc.x, rc.y, rc.z, rc.w);\\n        \"+i+\";\\n        \"+s+\";\\n\\n        vec4 inv = scale * inversesqrt(variance + vec4(\"+a+\"));\\n\\n        setOutput((x - mean) * inv + offset);\\n      }\\n    \"}}();function broadcastSample(e,t){var r=\"get\"+e.charAt(0).toUpperCase()+e.slice(1);return 1===t?\"\\n      vec4 \"+e+\"Sample = \"+r+\"(rc.w);\\n      vec4 \"+e+\" = vec4(\"+e+\"Sample.xy, \"+e+\"Sample.xy);\\n    \":\"vec4 \"+e+\" = \"+r+\"(rc.x, rc.y, rc.z, rc.w)\"}var COMPLEX_MULTIPLY={REAL:\"return areal * breal - aimag * bimag;\",IMAG:\"return areal * bimag + aimag * breal;\"},BinaryOpComplexProgram=function(){return function(e,t,r){this.variableNames=[\"AReal\",\"AImag\",\"BReal\",\"BImag\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,r),this.userCode=\"\\n      float binaryOpComplex(\\n          float areal, float aimag, float breal, float bimag) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float areal = getARealAtOutCoords();\\n        float aimag = getAImagAtOutCoords();\\n        float breal = getBRealAtOutCoords();\\n        float bimag = getBImagAtOutCoords();\\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET=\"\\n  if (isNaN(a)) return a;\\n  if (isNaN(b)) return b;\\n\",ADD=\"return a + b;\",SUB=\"return a - b;\",MUL=\"return a * b;\",DIV=\"if (a == b) return 1.0;\\n  return a / b;\",INT_DIV=\"\\n  float resultSign = sign(a) * sign(b);\\n  int ia = round(a);\\n  int ib = round(b);\\n  int result = ia / ib;\\n  int amodb = ia - ib * result;\\n\\n  if (resultSign < 0.0 && amodb != 0) {\\n    result -= 1;\\n  }\\n  return float(result);\\n\",POW=\"\\nif(a < 0.0 && floor(b) < b){\\n  return NAN;\\n}\\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\\n\",SQUARED_DIFFERENCE=\"return (a - b) * (a - b);\",EQUAL=\"return float(a == b);\",NOT_EQUAL=\"return float(a != b);\",LESS=\"return float(a < b);\",LESS_EQUAL=\"return float(a <= b);\",GREATER=\"return float(a > b);\",GREATER_EQUAL=\"return float(a >= b);\",LOGICAL_AND=\"return float(a >= 1.0 && b >= 1.0);\",LOGICAL_OR=\"return float(a >= 1.0 || b >= 1.0);\",MAX=CHECK_NAN_SNIPPET+\"\\n  return max(a, b);\\n\",MIN=CHECK_NAN_SNIPPET+\"\\n  return min(a, b);\\n\",MOD=\"if (b == 0.0) return NAN;\\n  return mod(a, b);\",ATAN2=CHECK_NAN_SNIPPET+\"\\n  return atan(a, b);\\n\",ELU_DER=\"return (b >= 1.0) ? a : a * (b + 1.0);\",BinaryOpProgram=function(){function e(e,t,r){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,r),this.userCode=\"\\n      uniform float NAN;\\n      float binaryOperation(float a, float b) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float a = getAAtOutCoords();\\n        float b = getBAtOutCoords();\\n        setOutput(binaryOperation(a, b));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,r){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(r,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),ClipProgram=function(){return function(e,t,r){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float value = getAAtOutCoords();\\n        if (isNaN(value)) {\\n          setOutput(value);\\n          return;\\n        }\\n\\n        setOutput(clamp(value, float(\"+t+\"), float(\"+r+\")));\\n      }\\n    \"}}(),ComplexAbsProgram=function(){return function(e){this.variableNames=[\"real\",\"imag\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float real = getRealAtOutCoords();\\n        float imag = getImagAtOutCoords();\\n        vec2 v = vec2(real, imag);\\n\\n        setOutput(sqrt(dot(v, v)));\\n      }\\n    \"}}(),ConcatProgram=function(){return function(e,t){this.variableNames=[\"A\",\"B\"],this.outputShape=[],this.outputShape=computeOutShape([e,t],1),this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int yR = coords.x;\\n        int yC = coords.y;\\n\\n        float value = 0.0;\\n        if (yC < \"+e[1]+\") {\\n          value = getA(yR, yC);\\n        } else {\\n          yC -= \"+e[1]+\";\\n          value = getB(yR, yC);\\n        }\\n\\n        setOutput(value);\\n      }\\n    \"}}(),Conv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,r=e.strideWidth,n=e.padInfo.top,o=e.padInfo.left;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int d2 = coords.w;\\n\\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+n+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+r+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,r=e.filterWidth,n=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=r-1-e.padInfo.left;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+n+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+r+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+r+\" - 1 - wC;\\n\\n            for (int d2 = 0; d2 < \"+e.outChannels+\"; d2++) {\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,r=e.strideWidth,n=e.padInfo.top,o=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int dm = coords.w;\\n        int d2 = d1 * \"+a+\" + dm;\\n\\n        float dotProd = 0.0;\\n\\n        // TODO: Vec4 over the batch size\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+n+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+r+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,r=e.filterWidth,n=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=r-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        float dotProd = 0.0;\\n\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+n+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+r+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+r+\" - 1 - wC;\\n\\n            // TODO: Vec4 over the channelMul\\n            for (int dm = 0; dm < \"+s+\"; dm++) {\\n              int d2 = d1 * \"+s+\" + dm;\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.padInfo.top,r=e.padInfo.left,n=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+n+\", \"+o+\");\\n      const ivec2 pads = ivec2(\"+t+\", \"+r+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d2 = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\"; wR++) {\\n          int xR = xRCorner + wR * \"+a+\";\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+u+\"; wC++) {\\n            int xC = xCCorner + wC * \"+i+\";\\n\\n            if (xC < 0 || xC >= \"+e.inWidth+\") {\\n              continue;\\n            }\\n\\n            for (int d1 = 0; d1 < \"+l+\"; d1 += 4) {\\n              vec4 xValues = vec4(\\n                getX(batch, xR, xC, d1),\\n                getX(batch, xR, xC, d1 + 1),\\n                getX(batch, xR, xC, d1 + 2),\\n                getX(batch, xR, xC, d1 + 3)\\n              );\\n              vec4 wValues = vec4(\\n                getW(wR, wC, d1, d2),\\n                getW(wR, wC, d1 + 1, d2),\\n                getW(wR, wC, d1 + 2, d2),\\n                getW(wR, wC, d1 + 3, d2)\\n              );\\n\\n              dotProd += dot(xValues, wValues);\\n            }\\n\\n            if (\"+(1===c)+\") {\\n              dotProd +=\\n                getX(batch, xR, xC, \"+l+\") *\\n                getW(wR, wC, \"+l+\", d2);\\n            } else if (\"+(2===c)+\") {\\n              vec2 xValues = vec2(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1)\\n              );\\n              vec2 wValues = vec2(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            } else if (\"+(3===c)+\") {\\n              vec3 xValues = vec3(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1),\\n                getX(batch, xR, xC, \"+l+\" + 2)\\n              );\\n              vec3 wValues = vec3(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2),\\n                getW(wR, wC, \"+l+\" + 2, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.inHeight,r=e.inWidth,n=e.padInfo.top,o=e.padInfo.left,a=e.strideHeight,i=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,p=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+n+\", \"+o+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords.x;\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int d2 = coords.w;\\n        int d1 = d2 / \"+p+\";\\n        int q = d2 - d1 * \"+p+\";\\n\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\\n        for (int wR = 0; wR < \"+l+\"; wR++) {\\n          int xR = xRCorner + wR * \"+s+\";\\n\\n          if (xR < 0 || xR >= \"+t+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+c+\"; wC++) {\\n            int xC = xCCorner + wC * \"+u+\";\\n\\n            if (xC < 0 || xC >= \"+r+\") {\\n              continue;\\n            }\\n\\n            float xVal = getX(batch, xR, xC, d1);\\n            float wVal = getW(wR, wC, d1, q);\\n            dotProd += xVal * wVal;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),CropAndResizeProgram=function(){return function(e,t,r,n,o){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];var a=e[0],i=e[1],s=e[2],u=e[3],l=t[0],c=r[0],p=r[1];this.outputShape=[l,c,p,u];var d=\"bilinear\"===n?1:0,h=[i-1+\".0\",s-1+\".0\"],f=h[0],m=h[1],g=c>1?[\"\"+(i-1)/(c-1),\"(y2-y1) * height_ratio\",\"y1*\"+f+\" + float(y)*(height_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (y1+y2) * \"+f],v=g[0],y=g[1],x=g[2],T=p>1?[\"\"+(s-1)/(p-1),\"(x2-x1) * width_ratio\",\"x1*\"+m+\" + float(x)*(width_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (x1+x2) * \"+m],E=T[0],w=T[1],S=T[2];this.userCode=\"\\n      const float height_ratio = float(\"+v+\");\\n      const float width_ratio = float(\"+E+\");\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int y = coords[1];\\n        int x = coords[2];\\n        int d = coords[3];\\n\\n        // get box vals\\n        float y1 = getBoxes(b,0);\\n        float x1 = getBoxes(b,1);\\n        float y2 = getBoxes(b,2);\\n        float x2 = getBoxes(b,3);\\n\\n        // get image in batch index\\n        int bInd = round(getBoxInd(b));\\n        if(bInd < 0 || bInd >= \"+a+\") {\\n          return;\\n        }\\n\\n        float height_scale = \"+y+\";\\n        float width_scale = \"+w+\";\\n\\n        float in_y = \"+x+\";\\n        if( in_y < 0.0 || in_y > \"+f+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n        float in_x = \"+S+\";\\n        if( in_x < 0.0 || in_x > \"+m+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n\\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\\n        if(\"+d+\" == 1) {\\n          // Compute the four integer indices.\\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\\n\\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n          float newValue = top + (bottom - top) * fracRC.x;\\n          setOutput(newValue);\\n        } else {\\n          // Compute the coordinators of nearest neighbor point.\\n          ivec2 sourceNearestRC = ivec2(floor(\\n            sourceFracIndexRC + vec2(0.5,0.5)));\\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n          setOutput(newValue);\\n        }\\n      }\\n    \"}}();function getLogicalCoordinatesFromFlatIndex(e,t,r){void 0===r&&(r=\"index\");var n=computeStrides(t);return n.map(function(t,o){return\"int \"+e[o]+\" = \"+r+\" / \"+t+\"; \"+(o===n.length-1?\"int \"+e[o+1]+\" = \"+r+\" - \"+e[o]+\" * \"+t:\"index -= \"+e[o]+\" * \"+t)+\";\"}).join(\"\")}function buildVec(e){return 1===e.length?\"\"+e[0]:\"vec\"+e.length+\"(\"+e.join(\",\")+\")\"}function dotify(e,t){if(e.length!==t.length)throw new Error(\"Vectors to be dotted must be of the same length -got \"+e.length+\" and \"+t.length);for(var r=[],n=Math.floor(e.length/4),o=e.length%4,a=0;a<n;a++){var i=e.slice(4*a,4*a+4),s=t.slice(4*a,4*a+4);r.push(buildVec(i)+\", \"+buildVec(s))}if(0!==o){i=e.slice(4*n),s=t.slice(4*n);1===i.length&&(i=i.map(function(e){return\"float(\"+e+\")\"}),s=s.map(function(e){return\"float(\"+e+\")\"})),r.push(buildVec(i)+\", \"+buildVec(s))}return r.map(function(e,t){return\"dot(\"+e+\")\"}).join(\"+\")}function makeShader(e,t,r,n,o){var a=e.map(function(e){var t=sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?\"uniform float \"+e.name+(t>1?\"[\"+t+\"]\":\"\")+\";\":\"uniform sampler2D \"+e.name+\";\"});a=a.join(\"\\n\");var i,s,u=e.map(function(e){return getInputSamplingSnippet(e,t,n)}).join(\"\\n\"),l=t.texShape,c=SHADER_PREFIX;return t.isPacked?(i=getPackedOutputSamplingSnippet(t.logicalShape,l),s=FLOAT_TEXTURE_SET_RGBA_SNIPPET):(i=getOutputSamplingSnippet(t.logicalShape,l),s=FLOAT_TEXTURE_SET_R_SNIPPET),o&&(c+=SHADER_PACKED_PREFIX),[c,FLOAT_TEXTURE_SAMPLE_SNIPPET,s,a,i,u,r].join(\"\\n\")}function getSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return getSamplerScalar(e);case 1:return getSampler1D(e);case 2:return getSampler2D(e);case 3:return getSampler3D(e);case 4:return getSampler4D(e);case 5:return getSampler5D(e);case 6:return getSampler6D(e);default:throw new Error(t.length+\"-D input sampling is not yet supported\")}}function getPackedSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 1:return getPackedSampler1D(e);case 2:return getPackedSampler2D(e);case 3:return getPackedSampler3D(e);case 4:return getPackedSampler4D(e);default:throw new Error(\"Packed \"+t.length+\"-D input sampling is not yet supported\")}}function getInputSamplingSnippet(e,t,r){var n=getSamplerFlat(e);return e.shapeInfo.isPacked?n+=getPackedSamplerFromInInfo(e):n+=getSamplerFromInInfo(e),(r||arraysEqual(e.shapeInfo.logicalShape,t.logicalShape))&&(n+=getSamplerAtOutputCoords(e,t,r)),n}function getPackedOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutputPacked1DCoords(e,t);case 2:return getOutputPacked2DCoords(e,t);case 3:return getOutputPacked3DCoords(e,t);case 4:return getOutputPacked4DCoords(e,t);default:throw new Error(e.length+\"-D packed output coordinate fetching is not yet supported\")}}function getOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutput1DCoords(e,t);case 2:return getOutput2DCoords(e,t);case 3:return getOutput3DCoords(e,t);case 4:return getOutput4DCoords(e,t);case 5:return getOutput5DCoords(e,t);case 6:return getOutput6DCoords(e,t);default:throw new Error(e.length+\"-D output sampling is not yet supported\")}}var SAMPLE_1D_SNIPPET=\"\\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\\n  int texelIndex = index / 2;\\n  int texR = texelIndex / texNumC;\\n  int texC = texelIndex - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_2D_SNIPPET=\"\\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\\n  int index = row * numC + col;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\\n  int texNumC, int row, int col) {\\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\\n  int texR = texelIndex / texNumC;\\n  int texC = texelIndex - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_3D_SNIPPET=\"\\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\\n    int stride1, int row, int col, int depth) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom3D(int texNumR, int texNumC,\\n    int texelsInBatch, int texelsInLogicalRow, int b,\\n    int row, int col) {\\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_4D_SNIPPET=\"\\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int row, int col, int depth,\\n    int depth2) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom4D(int texNumR, int texNumC, int texelsInBatch2,\\n    int texelsInBatch, int texelsInLogicalRow, int b2, int b,\\n    int row, int col) {\\n  int index = b2 * texelsInBatch2 + b * texelsInBatch +\\n    (row / 2) * texelsInLogicalRow + (col / 2);\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_5D_SNIPPET=\"\\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int row, int col, int depth,\\n    int depth2, int depth3) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 +\\n              depth * stride2 + depth2 * stride3 + depth3;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_6D_SNIPPET=\"\\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int stride4,\\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\\n    stride3 + depth3 * stride4 + depth4;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",FLOAT_TEXTURE_SAMPLE_SNIPPET=\"\\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n    return texture2D(textureSampler, uv).r;\\n  }\\n\",FLOAT_TEXTURE_SET_R_SNIPPET=\"\\n  void setOutput(float val) {\\n    gl_FragColor = vec4(val, 0, 0, 0);\\n  }\\n\",FLOAT_TEXTURE_SET_RGBA_SNIPPET=\"\\n  void setOutput(vec4 val) {\\n    gl_FragColor = val;\\n  }\\n\",SHADER_PREFIX=\"\\n  precision highp float;\\n  precision highp int;\\n  varying vec2 resultUV;\\n  const vec2 halfCR = vec2(0.5, 0.5);\\n\\n  struct ivec5\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n  };\\n\\n  struct ivec6\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n    int v;\\n  };\\n\\n  bool isNaN(float val) {\\n    return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;\\n  }\\n\\n  bool hasNaN(vec4 values) {\\n    vec4 v1 = values * values;\\n    vec4 v2 = values * values;\\n    return any(notEqual(v1, v2));\\n  }\\n\\n  float getNaN(vec4 values) {\\n    return dot(vec4(1), values);\\n  }\\n\\n  int round(float value) {\\n    return int(floor(value + 0.5));\\n  }\\n\\n  int imod(int x, int y) {\\n    return x - y * (x / y);\\n  }\\n\\n  //Based on the work of Dave Hoskins\\n  //https://www.shadertoy.com/view/4djSRW\\n  #define HASHSCALE1 443.8975\\n  float random(float seed){\\n    vec2 p = resultUV * seed;\\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\\n    p3 += dot(p3, p3.yzx + 19.19);\\n    return fract((p3.x + p3.y) * p3.z);\\n  }\\n\\n  \"+SAMPLE_1D_SNIPPET+\"\\n  \"+SAMPLE_2D_SNIPPET+\"\\n  \"+SAMPLE_3D_SNIPPET+\"\\n  \"+SAMPLE_4D_SNIPPET+\"\\n  \"+SAMPLE_5D_SNIPPET+\"\\n  \"+SAMPLE_6D_SNIPPET+\"\\n\",SHADER_PACKED_PREFIX=\"\\n  float getChannel(vec4 frag, vec2 innerDims) {\\n    vec2 modCoord = mod(innerDims, 2.);\\n    return modCoord.x == 0. ?\\n      (modCoord.y == 0. ? frag.r : frag.g) :\\n      (modCoord.y == 0. ? frag.b : frag.a);\\n  }\\n  float getChannel(vec4 frag, int dim) {\\n    float modCoord = mod(float(dim), 2.);\\n    return modCoord == 0. ? frag.r : frag.g;\\n  }\\n\";function getOutputScalarCoords(){return\"\\n    int getOutputCoords() {\\n      return 0;\\n    }\\n  \"}function getOutputPacked1DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return 2 * int(resultUV.x * \"+r[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return 2 * int(resultUV.y * \"+r[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n      return resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutput1DCoords(e,t){return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.x * \"+t[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.y * \"+t[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      return resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutputPacked3DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],n=Math.ceil(e[2]/2),o=n*Math.ceil(e[1]/2);return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n      int index = resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n\\n      int b = index / \"+o+\";\\n      index -= b * \"+o+\";\\n\\n      int r = 2 * (index / \"+n+\");\\n      int c = imod(index, \"+n+\") * 2;\\n\\n      return ivec3(b, r, c);\\n    }\\n  \"}function getOutput3DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\"],e);return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      \"+r+\"\\n      return ivec3(r, c, d);\\n    }\\n  \"}function getOutputPacked4DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],n=Math.ceil(e[3]/2),o=n*Math.ceil(e[2]/2),a=o*e[1];return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n      int index = resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n\\n      int b2 = index / \"+a+\";\\n      index -= b2 * \"+a+\";\\n\\n      int b = index / \"+o+\";\\n      index -= b * \"+o+\";\\n\\n      int r = 2 * (index / \"+n+\");\\n      int c = imod(index, \"+n+\") * 2;\\n\\n      return ivec4(b2, b, r, c);\\n    }\\n  \"}function getOutput4DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\",\"d2\"],e);return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      \"+r+\"\\n      return ivec4(r, c, d, d2);\\n    }\\n  \"}function getOutput5DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\",\"d2\",\"d3\"],e);return\"\\n    ivec5 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(\"+t[0]+\",\\n                             \"+t[1]+\"));\\n\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      \"+r+\"\\n\\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\\n      return outShape;\\n    }\\n  \"}function getOutput6DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\",\"d2\",\"d3\",\"d4\"],e);return\"\\n    ivec6 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      \"+r+\"\\n\\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\\n      return result;\\n    }\\n  \"}function getOutputPacked2DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(arraysEqual(e,t))return\"\\n      ivec2 getOutputCoords() {\\n        return 2 * ivec2(resultUV.yx * vec2(\"+r[0]+\", \"+r[1]+\"));\\n      }\\n    \";var n=Math.ceil(e[1]/2);return\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n\\n      int index = resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n      int r = 2 * (index / \"+n+\");\\n      int c = imod(index, \"+n+\") * 2;\\n\\n      return ivec2(r, c);\\n    }\\n  \"}function getOutput2DCoords(e,t){return arraysEqual(e,t)?\"\\n      ivec2 getOutputCoords() {\\n        return ivec2(resultUV.yx * vec2(\"+t[0]+\", \"+t[1]+\"));\\n      }\\n    \":1===e[1]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(index, 0);\\n      }\\n    \":1===e[0]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(0, index);\\n      }\\n    \":\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+e[1]+\";\\n      int c = index - r * \"+e[1]+\";\\n      return ivec2(r, c);\\n    }\\n  \"}function getSamplerScalar(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?\"float \"+r+\"() {return \"+t+\";}\":\"\\n    float \"+r+\"() {\\n      return sampleTexture(\"+t+\", halfCR);\\n    }\\n  \"}function getPackedSampler1D(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1),n=e.shapeInfo.texShape,o=[Math.ceil(n[0]/2),Math.ceil(n[1]/2)];return\"\\n    vec4 \"+r+\"(int index) {\\n      vec2 uv = packedUVfrom1D(\\n        \"+o[0]+\", \"+o[1]+\", index);\\n      return texture2D(\"+t+\", uv);\\n    }\\n  \"}function getSampler1D(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return\"\\n    float \"+r+\"(int index) {\\n      return \"+r+\"Flat(index);\\n    }\\n  \"}function getPackedSampler2D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape,a=o[0],i=o[1];if(null!=o&&arraysEqual(t,o))return\"\\n      vec4 \"+n+\"(int row, int col) {\\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+i+\".0, \"+a+\".0);\\n\\n        return texture2D(\"+r+\", uv);\\n      }\\n    \";var s=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];return\"\\n    vec4 \"+n+\"(int row, int col) {\\n      vec2 uv = packedUVfrom2D(\"+Math.ceil(t[1]/2)+\", \"+s[0]+\", \"+s[1]+\", row, col);\\n      return texture2D(\"+r+\", uv);\\n    }\\n  \"}function getSampler2D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape;if(null!=o&&arraysEqual(t,o)){var a=o[0];return\"\\n    float \"+n+\"(int row, int col) {\\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+o[1]+\".0, \"+a+\".0);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}var i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+n+\"(int row, int col) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\"],u)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col) {\\n        float index = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n        return \"+n+\"Flat(round(index));\\n      }\\n    \";var c=o[0],p=o[1];return 1===p?\"\\n    float \"+n+\"(int row, int col) {\\n      float index = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n      vec2 uv = vec2(0.5, (index + 0.5) / \"+c+\".0);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \":1===c?\"\\n    float \"+n+\"(int row, int col) {\\n      float index = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n      vec2 uv = vec2((index + 0.5) / \"+p+\".0, 0.5);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \":\"\\n  float \"+n+\"(int row, int col) {\\n    vec2 uv = UVfrom2D(\"+c+\", \"+p+\", \"+t[1]+\", row, col);\\n    return sampleTexture(\"+r+\", uv);\\n  }\\n\"}function getPackedSampler3D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===t[0]){return\"\\n        \"+getPackedSamplerFromInInfo(squeezeInputInfo(e,t.slice(1)))+\"\\n        vec4 \"+n+\"(int b, int row, int col) {\\n          return \"+n+\"(\"+getSqueezedParams([\"b\",\"row\",\"col\"],[1,2])+\");\\n        }\\n      \"}var i=a[0],s=a[1],u=Math.ceil(t[2]/2);return\"\\n    vec4 \"+n+\"(int b, int row, int col) {\\n      vec2 uv = packedUVfrom3D(\\n        \"+i+\", \"+s+\", \"+u*Math.ceil(t[1]/2)+\", \"+u+\", b, row, col);\\n      return texture2D(\"+r+\", uv);\\n    }\\n  \"}function getSampler3D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[1]*t[2],a=t[2],i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n        \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n        float \"+n+\"(int row, int col, int depth) {\\n          return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\"],u)+\");\\n        }\\n      \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth) {\\n        float index = dot(vec3(row, col, depth),\\n                          vec3(\"+o+\", \"+a+\", 1));\\n        return \"+n+\"Flat(round(index));\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===o?\"\\n        float \"+n+\"(int row, int col, int depth) {\\n          float texR = float(row);\\n          float texC = dot(vec2(col, depth), vec2(\"+a+\", 1));\\n          vec2 uv = (vec2(texC, texR) + halfCR) /\\n                     vec2(\"+d+\".0, \"+p+\".0);\\n          return sampleTexture(\"+r+\", uv);\\n        }\\n      \":d===a?\"\\n    float \"+n+\"(int row, int col, int depth) {\\n      float texR = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n      float texC = float(depth);\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+d+\".0, \"+p+\".0);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \":\"\\n      float \"+n+\"(int row, int col, int depth) {\\n        vec2 uv = UVfrom3D(\\n            \"+p+\", \"+d+\", \"+o+\", \"+a+\", row, col, depth);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n  \"}function getPackedSampler4D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],i=a[0],s=a[1],u=Math.ceil(t[3]/2),l=u*Math.ceil(t[2]/2);return\"\\n    vec4 \"+n+\"(int b2, int b, int row, int col) {\\n      vec2 uv = packedUVfrom4D(\\n        \"+i+\", \"+s+\", \"+l*t[1]+\",\\n        \"+l+\", \"+u+\", b2, b, row, col);\\n      return texture2D(\"+r+\", uv);\\n    }\\n  \"}function getSampler4D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[3],a=t[2]*o,i=t[1]*a,s=squeezeShape(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,u))+\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\"],l)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        float index = dot(vec4(row, col, depth, depth2),\\n                          vec4(\"+i+\", \"+a+\", \"+o+\", 1));\\n        return \"+n+\"Flat(round(index));\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===i?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        float texR = float(row);\\n        float texC =\\n            dot(vec3(col, depth, depth2), vec3(\"+a+\", \"+o+\", 1));\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":d===o?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        float texR = dot(vec3(row, col, depth),\\n                         vec3(\"+t[1]*t[2]+\", \"+t[2]+\", 1));\\n        float texC = float(depth2);\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int row, int col, int depth, int depth2) {\\n      vec2 uv = UVfrom4D(\"+p+\", \"+d+\", \"+i+\", \"+a+\",\\n          \"+o+\", row, col, depth, depth2);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getSampler5D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[4],a=t[3]*o,i=t[2]*a,s=t[1]*i,u=squeezeShape(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\"],c)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        float index = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+s+\", \"+i+\", \"+a+\", \"+o+\")) +\\n          depth3;\\n        return \"+n+\"Flat(index);\\n      }\\n    \";var p=e.shapeInfo.texShape,d=p[0],h=p[1];return h===s?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row;\\n        float texC = dot(\\n          vec4(col, depth, depth2, depth3),\\n          vec4(\"+i+\", \"+a+\", \"+o+\", 1));\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":h===o?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        float texR = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+t[1]*t[2]*t[3]+\", \"+t[2]*t[3]+\",\\n            \"+t[3]+\", 1));\\n        int texC = depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n      vec2 uv = UVfrom5D(\"+d+\", \"+h+\", \"+s+\", \"+i+\",\\n          \"+a+\", \"+o+\", row, col, depth, depth2, depth3);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getSampler6D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[5],a=t[4]*o,i=t[3]*a,s=t[2]*i,u=t[1]*s,l=squeezeShape(t),c=l.newShape,p=l.keptDims;if(c.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,c))+\"\\n      float \"+n+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\",\"depth4\"],p)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n        float index = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+u+\", \"+s+\", \"+i+\", \"+a+\")) +\\n          dot(\\n            vec2(depth3, depth4),\\n            vec2(\"+o+\", 1));\\n        return \"+n+\"Flat(index);\\n      }\\n    \";var d=e.shapeInfo.texShape,h=d[0],f=d[1];return f===u?\"\\n      float \"+n+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row;\\n        float texC = dot(\\n          vec4(col, depth, depth2, depth3),\\n          vec4(\"+s+\", \"+i+\", \"+a+\", \"+o+\")) + depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":f===o?\"\\n      float \"+n+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        float texR = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+t[1]*t[2]*t[3]*t[4]+\",\\n               \"+t[2]*t[3]*t[4]+\",\\n               \"+t[3]*t[4]+\",\\n               \"+t[4]+\")) + depth3;\\n        int texC = depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n      vec2 uv = UVfrom6D(\"+h+\", \"+f+\", \"+u+\", \"+s+\",\\n          \"+i+\", \"+a+\", \"+o+\"\\n          ,row, col, depth, depth2, depth3, depth4);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getSamplerFlat(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1)+\"Flat\",n=sizeFromShape(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===n?\"float \"+r+\"(int index) {return \"+t+\";}\":\"\\n      float \"+r+\"(int index) {\\n        for (int i = 0; i < \"+n+\"; i++) {\\n          if (i == index) {\\n            return \"+t+\"[i];\\n          }\\n        }\\n      }\\n    \";var o=e.shapeInfo.texShape,a=o[0],i=o[1];return 1===i&&1===a?\"\\n      float \"+r+\"(int index) {\\n        return sampleTexture(\"+t+\", halfCR);\\n      }\\n    \":1===i?\"\\n      float \"+r+\"(int index) {\\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+a+\".0);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":1===a?\"\\n      float \"+r+\"(int index) {\\n        vec2 uv = vec2((float(index) + 0.5) / \"+i+\".0, 0.5);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int index) {\\n      vec2 uv = UVfrom1D(\"+a+\", \"+i+\", index);\\n      return sampleTexture(\"+t+\", uv);\\n    }\\n  \"}function getBroadcastOutputCoordsSampler(e,t,r,n){var o=e.shapeInfo.logicalShape.length,a=t.logicalShape.length,i=\"int\";2===a?i=\"ivec2\":3===a?i=\"ivec3\":4===a&&(i=\"ivec4\");var s=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),u=a-o;return\"\\n    float \"+n+\"() {\\n      \"+i+\" coords = getOutputCoords();\\n      \"+(0===o?\"\":a<2&&s.length>=1?\"coords = 0;\":s.map(function(e){return\"coords[\"+(e+u)+\"] = 0;\"}).join(\"\\n\"))+\"\\n      return get\"+r+\"(\"+(a<2&&o>0?\"coords\":e.shapeInfo.logicalShape.map(function(e,t){return\"coords[\"+(t+u)+\"]\"}).join(\", \"))+\");\\n    }\\n  \"}function getSamplerAtOutputCoords(e,t,r){var n=e.name,o=n.charAt(0).toUpperCase()+n.slice(1),a=\"get\"+o+\"AtOutCoords\",i=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=r&&(u>s||i.length>0),c=broadcastDimsAreOuter(i),p=e.shapeInfo.isUniform;if(l&&!c)return getBroadcastOutputCoordsSampler(e,t,o,a);var d=sizeFromShape(e.shapeInfo.logicalShape),h=\"\";l&&c&&(h=\"\\n        int mainPart = index / \"+d+\";\\n        index -= mainPart * \"+d+\";\\n      \");var f=t.texShape;if(p)return 1===d?\"float \"+a+\"() {return \"+n+\";}\":\"\\n      float \"+a+\"() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                              vec2(\"+f[0]+\", \"+f[1]+\"));\\n        int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n        \"+h+\"\\n        return get\"+o+\"Flat(index);\\n      }\\n    \";var m=e.shapeInfo.texShape;return arraysEqual(m,f)?\"\\n      float \"+a+\"() {\\n        return sampleTexture(\"+n+\", resultUV);\\n      }\\n    \":\"\\n    float \"+a+\"() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+f[0]+\", \"+f[1]+\"));\\n      int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n      \"+h+\"\\n      int texR = index / \"+m[1]+\";\\n      int texC = index - texR * \"+m[1]+\";\\n      vec2 uv = (vec2(texC, texR) + halfCR) /\\n                 vec2(\"+m[1]+\".0, \"+m[0]+\".0);\\n\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getCoordsDataType(e){if(e<=1)return\"int\";if(2===e)return\"ivec2\";if(3===e)return\"ivec3\";if(4===e)return\"ivec4\";if(5===e)return\"ivec5\";if(6===e)return\"ivec6\";throw Error(\"GPU for rank \"+e+\" is not yet supported\")}function squeezeInputInfo(e,t){var r=JSON.parse(JSON.stringify(e));return r.shapeInfo.logicalShape=t,r}function getSqueezedParams(e,t){return t.map(function(t){return e[t]}).join(\", \")}var CumSumProgram=function(){return function(e,t,r){this.variableNames=[\"x\"],this.outputShape=e;var n=e.length,o=e[e.length-1],a=r?\"<\":\">\";this.userCode=\"\\n      int getIndex(int i) {\\n        \"+(r?\"return \"+o+\" -i - 1;\":\"return i;\")+\"\\n      }\\n\\n      void main() {\\n        \"+getCoordsDataType(n)+\" coords = getOutputCoords();\\n        int end = \"+getFinalCoord(n,\"coords\")+\";\\n        float val = 0.0;\\n        for (int i = \"+o+\" - 1; i >= 0; i -= 1) {\\n          int idx = getIndex(i);\\n          if (idx \"+a+\" end) {\\n            continue;\\n          }\\n          if (idx == end && \"+t+\") {\\n            continue;\\n          }\\n          \"+getFinalCoord(n,\"coords\")+\" = idx;\\n          val += getX(\"+getCoords(n,\"coords\")+\");\\n        }\\n        setOutput(val);\\n      }\\n    \"}}();function getCoords(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".x, \"+t+\".y\";if(3===e)return t+\".x, \"+t+\".y, \"+t+\".z\";if(4===e)return t+\".x, \"+t+\".y, \"+t+\".z, \"+t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}function getFinalCoord(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".y\";if(3===e)return t+\".z\";if(4===e)return t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}var DepthToSpaceProgram=function(){function e(e,t,r){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=r,this.userCode=\"\\n    void main() {\\n      ivec4 coords = getOutputCoords();\\n      int b = coords[0];\\n      int h = \"+this.getHeightCoordString()+\";\\n      int w = \"+this.getWidthCoordString()+\";\\n      int d = \"+this.getDepthCoordString()+\";\\n\\n      int in_h = h / \"+t+\";\\n      int offset_h = imod(h, \"+t+\");\\n      int in_w = w / \"+t+\";\\n      int offset_w = imod(w, \"+t+\");\\n      int offset_d = (offset_h * \"+t+\" + offset_w) *\\n        \"+this.getOutputDepthSize()+\";\\n      int in_d = d + offset_d;\\n\\n      float result = \"+this.getInputSamplingString()+\";\\n      setOutput(result);\\n    }\\n  \"}return e.prototype.getHeightCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[1]\":\"coords[2]\"},e.prototype.getWidthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[2]\":\"coords[3]\"},e.prototype.getDepthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[3]\":\"coords[1]\"},e.prototype.getOutputDepthSize=function(){return\"NHWC\"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return\"NHWC\"===this.dataFormat?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"},e}(),EncodeFloatProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const float FLOAT_MAX = 1.70141184e38;\\n      const float FLOAT_MIN = 1.17549435e-38;\\n\\n      lowp vec4 encode_float(highp float v) {\\n        if (isNaN(v)) {\\n          return vec4(255, 255, 255, 255);\\n        }\\n\\n        highp float av = abs(v);\\n\\n        if(av < FLOAT_MIN) {\\n          return vec4(0.0, 0.0, 0.0, 0.0);\\n        } else if(v > FLOAT_MAX) {\\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\\n        } else if(v < -FLOAT_MAX) {\\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\\n        }\\n\\n        highp vec4 c = vec4(0,0,0,0);\\n\\n        highp float e = floor(log2(av));\\n        highp float m = exp2(fract(log2(av))) - 1.0;\\n\\n        c[2] = floor(128.0 * m);\\n        m -= c[2] / 128.0;\\n        c[1] = floor(32768.0 * m);\\n        m -= c[1] / 32768.0;\\n        c[0] = floor(8388608.0 * m);\\n\\n        highp float ebias = e + 127.0;\\n        c[3] = floor(ebias / 2.0);\\n        ebias -= c[3] * 2.0;\\n        c[2] += floor(ebias) * 128.0;\\n\\n        c[3] += 128.0 * step(0.0, -v);\\n\\n        return c / 255.0;\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        gl_FragColor = encode_float(x);\\n      }\\n    \"}}(),COMPLEX_FFT={REAL:\"return real * expR - imag * expI;\",IMAG:\"return real * expI + imag * expR;\"},FFTProgram=function(){return function(e,t,r){this.variableNames=[\"real\",\"imag\"];var n=t[1];this.outputShape=t;var o=r?\"2.0 * \"+Math.PI:\"-2.0 * \"+Math.PI,a=r?n+\".0\":\"1.0\";this.userCode=\"\\n      const float exponentMultiplier = \"+o+\";\\n\\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\\n        \"+e+\"\\n      }\\n\\n      float mulMatDFT(int batch, int index) {\\n        float indexRatio = float(index) / float(\"+n+\");\\n        float exponentMultiplierTimesIndexRatio =\\n            exponentMultiplier * indexRatio;\\n\\n        float result = 0.0;\\n\\n        for (int i = 0; i < \"+n+\"; i++) {\\n          // x = (-2|2 * PI / N) * index * i;\\n          float x = exponentMultiplierTimesIndexRatio * float(i);\\n          float expR = cos(x);\\n          float expI = sin(x);\\n          float real = getReal(batch, i);\\n          float imag = getImag(batch, i);\\n\\n          result +=\\n              unaryOpComplex(real, expR, imag, expI) / \"+a+\";\\n        }\\n\\n        return result;\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        setOutput(mulMatDFT(coords[0], coords[1]));\\n      }\\n    \"}}(),FromPixelsProgram=function(){return function(e){this.variableNames=[\"A\"];var t=e[0],r=e[1];this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec3 coords = getOutputCoords();\\n        int texR = coords[0];\\n        int texC = coords[1];\\n        int depth = coords[2];\\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+r+\".0, \"+t+\".0);\\n\\n        vec4 values = texture2D(A, uv);\\n        float value;\\n        if (depth == 0) {\\n          value = values.r;\\n        } else if (depth == 1) {\\n          value = values.g;\\n        } else if (depth == 2) {\\n          value = values.b;\\n        } else if (depth == 3) {\\n          value = values.a;\\n        }\\n\\n        setOutput(floor(value * 255.0 + 0.5));\\n      }\\n    \"}}(),GatherProgram=function(){return function(e,t,r){this.variableNames=[\"A\",\"indices\"];var n=e.slice();n[r]=t,this.outputShape=n,this.rank=n.length;var o=getCoordsDataType(this.rank),a=getSourceCoords(e,r);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords(e,t){var r=e.length;if(r>4)throw Error(\"Gather for rank \"+r+\" is not yet supported\");if(1===r)return\"int(getIndices(resRC))\";for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[],a=0;a<e.length;a++)a===t?o.push(\"int(getIndices(\"+n[a]+\"))\"):o.push(\"\"+n[a]);return o.join()}var TextureUsage,PhysicalTextureType,GatherNDProgram=function(){return function(e,t,r){this.sliceDim=e,this.strides=t,this.variableNames=[\"x\",\"indices\"],this.outputShape=r;var n=getCoordsDataType(t.length),o=getCoordsDataType(r.length),a=this.sliceDim>1?\"strides[j]\":\"strides\";this.userCode=\"\\n        \"+n+\" strides = \"+n+\"(\"+this.strides+\");\\n         void main() {\\n          \"+o+\" coords = getOutputCoords();\\n          int flattenIndex = 0;\\n          for (int j = 0; j < \"+this.sliceDim+\"; j++) {\\n            int index = round(getIndices(coords[0], j));\\n            flattenIndex += index * \"+a+\";\\n          }\\n          setOutput(getX(flattenIndex, coords[1]));\\n        }\\n      \"}}();function getUnpackedMatrixTextureShapeWidthHeight(e,t){return[t,e]}function getUnpackedArraySizeFromMatrixSize(e,t){return e*t}function getMatrixSizeFromUnpackedArraySize(e,t){if(e%t!=0)throw new Error(\"unpackedSize (\"+e+\") must be a multiple of \"+t);return e/t}function encodeMatrixToUnpackedArray(e,t,r){var n=getUnpackedArraySizeFromMatrixSize(e.length,r);if(t.length<n)throw new Error(\"unpackedArray length (\"+t.length+\") must be >= \"+n);for(var o=0,a=0;a<e.length;++a)t[o]=e[a],o+=r}function decodeMatrixFromUnpackedArray(e,t,r){var n=getMatrixSizeFromUnpackedArraySize(e.length,r);if(t.length<n)throw new Error(\"matrix length (\"+t.length+\") must be >= \"+n);for(var o=0,a=0;a<e.length;a+=r)t[o++]=e[a]}function getPackedMatrixTextureShapeWidthHeight(e,t){return[Math.ceil(t/2),Math.ceil(e/2)]}function getPackedRGBAArraySizeFromMatrixShape(e,t){var r=getPackedMatrixTextureShapeWidthHeight(e,t);return r[0]*r[1]*4}function encodeMatrixToPackedRGBA(e,t,r,n,o){var a=getPackedRGBAArraySizeFromMatrixShape(r,n);if(o.length<a)throw new Error(\"packedRGBA length (\"+o.length+\") must be >=\\n        \"+a);for(var i=n%2==1,s=r%2==1,u=Math.floor(n/2),l=Math.floor(r/2),c=Math.ceil(n/2),p=c*Math.ceil(r/2),d=nearestLargerEven(r)*nearestLargerEven(n),h=0;h<t;h++){for(var f=h*r*n,m=h*d,g=i?4:0,v=n,y=m,x=0;x<l;++x){for(var T=2*x*n,E=0;E<u;++E){var w=f+T+2*E;o[y]=e[w],o[y+1]=e[w+1],o[y+2]=e[w+v],o[y+3]=e[w+v+1],y+=4}y+=g}if(i){w=f+n-1,y=m+4*(c-1);var S=2*n;for(g=4*c,x=0;x<l;++x)o[y]=e[w],o[y+2]=e[w+n],w+=S,y+=g}if(s){for(w=f+(r-1)*n,y=m+4*(p-c),E=0;E<u;++E)o[y++]=e[w++],o[y++]=e[w++],y+=2;i&&s&&(o[m+d-4]=e[w])}}return o}function decodeMatrixFromPackedRGBA(e,t,r,n,o){var a=r*n;if(o.length<a)throw new Error(\"matrix length (\"+o.length+\") must be >= \"+a);for(var i=n%2==1,s=r%2==1,u=Math.floor(n/2),l=Math.floor(r/2),c=Math.ceil(n/2),p=c*Math.ceil(r/2),d=nearestLargerEven(r)*nearestLargerEven(n),h=0;h<t;h++){for(var f=h*r*n,m=h*d,g=i?4:0,v=n+(i?1:0),y=m,x=f,T=f+n,E=0;E<l;++E){for(var w=0;w<u;++w)o[x++]=e[y++],o[x++]=e[y++],o[T++]=e[y++],o[T++]=e[y++];y+=g,x+=v,T+=v}if(i){y=m+4*(c-1);var S=f+n-1;for(g=4*c,v=2*n,E=0;E<l;++E)o[S]=e[y],o[S+n]=e[y+2],y+=g,S+=v}if(s){for(y=m+4*(p-c),S=f+(r-1)*n,w=0;w<u;++w)o[S++]=e[y++],o[S++]=e[y++],y+=2;i&&(o[f+r*n-1]=e[y])}}return o}function callAndCheck(e,t){var r=t();return checkWebGLError(e),r}!function(e){e[e.RENDER=0]=\"RENDER\",e[e.UPLOAD=1]=\"UPLOAD\",e[e.PIXELS=2]=\"PIXELS\",e[e.DOWNLOAD=3]=\"DOWNLOAD\"}(TextureUsage||(TextureUsage={})),function(e){e[e.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",e[e.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",e[e.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",e[e.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",e[e.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"}(PhysicalTextureType||(PhysicalTextureType={}));var webGLDebugErrorCheckingEnabled=!1;function enableDebugWebGLErrorChecking(e){webGLDebugErrorCheckingEnabled=e}function checkWebGLError(e){if(webGLDebugErrorCheckingEnabled){var t=e.getError();if(t!==e.NO_ERROR)throw new Error(\"WebGL Error: \"+getWebGLErrorMessage(e,t))}}function getWebGLErrorMessage(e,t){switch(t){case e.NO_ERROR:return\"NO_ERROR\";case e.INVALID_ENUM:return\"INVALID_ENUM\";case e.INVALID_VALUE:return\"INVALID_VALUE\";case e.INVALID_OPERATION:return\"INVALID_OPERATION\";case e.INVALID_FRAMEBUFFER_OPERATION:return\"INVALID_FRAMEBUFFER_OPERATION\";case e.OUT_OF_MEMORY:return\"OUT_OF_MEMORY\";case e.CONTEXT_LOST_WEBGL:return\"CONTEXT_LOST_WEBGL\";default:return\"Unknown error code \"+t}}function getExtensionOrThrow(e,t){return throwIfNull(e,function(){return e.getExtension(t)},'Extension \"'+t+'\" not supported on this browser.')}function createVertexShader(e,t){var r=throwIfNull(e,function(){return e.createShader(e.VERTEX_SHADER)},\"Unable to create vertex WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(r,t)}),callAndCheck(e,function(){return e.compileShader(r)}),!1===e.getShaderParameter(r,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(r)),new Error(\"Failed to compile vertex shader.\");return r}function createFragmentShader(e,t){var r=throwIfNull(e,function(){return e.createShader(e.FRAGMENT_SHADER)},\"Unable to create fragment WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(r,t)}),callAndCheck(e,function(){return e.compileShader(r)}),!1===e.getShaderParameter(r,e.COMPILE_STATUS))throw logShaderSourceAndInfoLog(t,e.getShaderInfoLog(r)),new Error(\"Failed to compile fragment shader.\");return r}var lineNumberRegex=/ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e,t){var r=lineNumberRegex.exec(t);if(null==r)return console.log(\"Couldn't parse line number in error: \"+t),void console.log(e);for(var n=+r[1],o=e.split(\"\\n\"),a=o.length.toString().length+2,i=o.map(function(e,t){return rightPad((t+1).toString(),a)+e}),s=0,u=0;u<i.length;u++)s=Math.max(i[u].length,s);var l=i.slice(0,n-1),c=i.slice(n-1,n),p=i.slice(n);console.log(l.join(\"\\n\")),console.log(t.split(\"\\n\")[0]),console.log(\"%c \"+rightPad(c[0],s),\"border:1px solid red; background-color:#e3d2d2; color:#a61717\"),console.log(p.join(\"\\n\"))}function createProgram(e){return throwIfNull(e,function(){return e.createProgram()},\"Unable to create WebGLProgram.\")}function linkProgram(e,t){if(callAndCheck(e,function(){return e.linkProgram(t)}),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function validateProgram(e,t){if(callAndCheck(e,function(){return e.validateProgram(t)}),!1===e.getProgramParameter(t,e.VALIDATE_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function createStaticVertexBuffer(e,t){var r=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)}),r}function createStaticIndexBuffer(e,t){var r=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)}),r}function getNumChannels(){return 2===ENV.get(\"WEBGL_VERSION\")?1:4}function createTexture(e){return throwIfNull(e,function(){return e.createTexture()},\"Unable to create WebGLTexture.\")}function validateTextureSize(e,t){var r=ENV.get(\"WEBGL_MAX_TEXTURE_SIZE\");if(e<=0||t<=0){var n=\"[\"+e+\"x\"+t+\"]\";throw new Error(\"Requested texture size \"+n+\" is invalid.\")}if(e>r||t>r){n=\"[\"+e+\"x\"+t+\"]\";throw new Error(\"Requested texture size \"+n+\" greater than WebGL maximum on this browser / GPU \"+(\"[\"+r+\"x\"+r+\"]\")+\".\")}}function createFramebuffer(e){return throwIfNull(e,function(){return e.createFramebuffer()},\"Unable to create WebGLFramebuffer.\")}function bindVertexBufferToProgramAttribute(e,t,r,n,o,a,i){var s=e.getAttribLocation(t,r);return-1!==s&&(callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.vertexAttribPointer(s,o,e.FLOAT,!1,a,i)}),callAndCheck(e,function(){return e.enableVertexAttribArray(s)}),!0)}function bindTextureUnit(e,t,r){validateTextureUnit(e,r),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+r)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)})}function unbindTextureUnit(e,t){validateTextureUnit(e,t),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+t)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function getProgramUniformLocationOrThrow(e,t,r){return throwIfNull(e,function(){return e.getUniformLocation(t,r)},'uniform \"'+r+'\" not present in program.')}function getProgramUniformLocation(e,t,r){return e.getUniformLocation(t,r)}function bindTextureToProgramUniformSampler(e,t,r,n,o){callAndCheck(e,function(){return bindTextureUnit(e,r,o)}),callAndCheck(e,function(){return e.uniform1i(n,o)})}function bindCanvasToFramebuffer(e){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),callAndCheck(e,function(){return e.viewport(0,0,e.canvas.width,e.canvas.height)}),callAndCheck(e,function(){return e.scissor(0,0,e.canvas.width,e.canvas.height)})}function bindColorTextureToFramebuffer(e,t,r){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,r)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0)})}function unbindColorTextureFromFramebuffer(e,t){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,t)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0)})}function validateFramebuffer(e){var t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+getFramebufferErrorMessage(e,t))}function getFramebufferErrorMessage(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case e.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return\"unknown error \"+t}}function throwIfNull(e,t,r){var n=callAndCheck(e,function(){return t()});if(null==n)throw new Error(r);return n}function validateTextureUnit(e,t){var r=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+e.TEXTURE0;if(n<e.TEXTURE0||n>r)throw new Error(\"textureUnit must be in \"+(\"[gl.TEXTURE0, gl.TEXTURE\"+r+\"]\")+\".\")}function getTextureShapeFromLogicalShape(e,t){void 0===t&&(t=!1);var r=ENV.get(\"WEBGL_MAX_TEXTURE_SIZE\");if(t&&(r*=2,e=e.map(function(t,r){return r>=e.length-2?nearestLargerEven(e[r]):e[r]})),2!==e.length){var n=squeezeShape(e);e=n.newShape}var o=sizeFromShape(e);return e.length<=1&&o<=r?[o,1]:2===e.length&&e[0]<=r&&e[1]<=r?e:3===e.length&&e[0]*e[1]<=r&&e[2]<=r?[e[0]*e[1],e[2]]:3===e.length&&e[0]<=r&&e[1]*e[2]<=r?[e[0],e[1]*e[2]]:4===e.length&&e[0]*e[1]*e[2]<=r&&e[3]<=r?[e[0]*e[1]*e[2],e[3]]:4===e.length&&e[0]<=r&&e[1]*e[2]*e[3]<=r?[e[0],e[1]*e[2]*e[3]]:sizeToSquarishShape(o)}function isEven(e){return e%2==0}function isReshapeFree(e,t){if(arraysEqual(e=e.slice(-2),t=t.slice(-2)))return!0;if(!e.length||!t.length)return!0;if(0===e[0]||0===e[1]||0===t[0]||0===t[1])return!0;if(e.length!==t.length){if(arraysEqual(squeezeShape(e).newShape,squeezeShape(t).newShape))return!0}else if(isEven(e[0])&&isEven(t[0])){if(isEven(e[1])&&isEven(t[1]))return!0;if(e[1]===t[1])return!0}return!1}var webgl_util=Object.freeze({callAndCheck:callAndCheck,enableDebugWebGLErrorChecking:enableDebugWebGLErrorChecking,checkWebGLError:checkWebGLError,getWebGLErrorMessage:getWebGLErrorMessage,getExtensionOrThrow:getExtensionOrThrow,createVertexShader:createVertexShader,createFragmentShader:createFragmentShader,createProgram:createProgram,linkProgram:linkProgram,validateProgram:validateProgram,createStaticVertexBuffer:createStaticVertexBuffer,createStaticIndexBuffer:createStaticIndexBuffer,getNumChannels:getNumChannels,createTexture:createTexture,validateTextureSize:validateTextureSize,createFramebuffer:createFramebuffer,bindVertexBufferToProgramAttribute:bindVertexBufferToProgramAttribute,bindTextureUnit:bindTextureUnit,unbindTextureUnit:unbindTextureUnit,getProgramUniformLocationOrThrow:getProgramUniformLocationOrThrow,getProgramUniformLocation:getProgramUniformLocation,bindTextureToProgramUniformSampler:bindTextureToProgramUniformSampler,bindCanvasToFramebuffer:bindCanvasToFramebuffer,bindColorTextureToFramebuffer:bindColorTextureToFramebuffer,unbindColorTextureFromFramebuffer:unbindColorTextureFromFramebuffer,validateFramebuffer:validateFramebuffer,getFramebufferErrorMessage:getFramebufferErrorMessage,getTextureShapeFromLogicalShape:getTextureShapeFromLogicalShape,isReshapeFree:isReshapeFree});function createVertexShader$1(e){return createVertexShader(e,\"\\n    precision highp float;\\n    attribute vec3 clipSpacePos;\\n    attribute vec2 uv;\\n    varying vec2 resultUV;\\n\\n    void main() {\\n      gl_Position = vec4(clipSpacePos, 1);\\n      resultUV = uv;\\n    }\")}function createVertexBuffer(e){return createStaticVertexBuffer(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function createIndexBuffer(e){return createStaticIndexBuffer(e,new Uint16Array([0,1,2,2,1,3]))}function getTextureConfig(e,t){var r,n,o,a,i,s,u,l=e;return 2===ENV.get(\"WEBGL_VERSION\")?(r=l.R32F,n=l.R16F,o=l.RGBA32F,a=l.RED,i=4,s=1,u=l.HALF_FLOAT):(r=e.RGBA,n=e.RGBA,o=l.RGBA,a=e.RGBA,i=4,s=4,u=null!=t?t.HALF_FLOAT_OES:null),{internalFormatFloat:r,internalFormatHalfFloat:n,internalFormatPackedFloat:o,textureFormatFloat:a,downloadTextureFormat:e.RGBA,downloadUnpackNumChannels:i,defaultNumChannels:s,textureTypeHalfFloat:u}}function createAndConfigureTexture(e,t,r,n,o,a){validateTextureSize(t,r);var i=createTexture(e),s=e.TEXTURE_2D;return callAndCheck(e,function(){return e.bindTexture(s,i)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texImage2D(s,0,n,t,r,0,o,a,null)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)}),i}function createFloat32MatrixTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatFloat,n.textureFormatFloat,e.FLOAT)}function createFloat16MatrixTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatFloat,n.textureFormatFloat,n.textureTypeHalfFloat)}function createUnsignedBytesMatrixTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],e.RGBA,e.RGBA,e.UNSIGNED_BYTE)}function createPackedMatrixTexture(e,t,r,n){var o=getPackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatPackedFloat,e.RGBA,e.FLOAT)}function createFloat16PackedMatrixTexture(e,t,r,n){var o=getPackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatHalfFloat,e.RGBA,n.textureTypeHalfFloat)}function bindVertexProgramAttributeStreams(e,t,r){return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),bindVertexBufferToProgramAttribute(e,t,\"clipSpacePos\",r,3,20,0)&&bindVertexBufferToProgramAttribute(e,t,\"uv\",r,2,20,12)}function uploadPixelDataToTexture(e,t,r){callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,r)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadDataToTexture(e,t,r,n,o,a){validateTextureSize(r,n),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,r,n,a,e.FLOAT,o)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadMatrixToTexture(e,t,r,n,o,a,i){var s,u=getUnpackedMatrixTextureShapeWidthHeight(r,n),l=u[0],c=u[1];1===i.defaultNumChannels?s=o:encodeMatrixToUnpackedArray(o,s=new Float32Array(getUnpackedArraySizeFromMatrixSize(o.length,a)),a),uploadDataToTexture(e,t,l,c,s,i.textureFormatFloat)}function uploadMatrixToPackedTexture(e,t,r,n,o,a,i){var s=getPackedMatrixTextureShapeWidthHeight(n,o),u=s[0],l=s[1],c=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n,o));encodeMatrixToPackedRGBA(a,r,n,o,c),uploadDataToTexture(e,t,u,l,c,e.RGBA)}function maybeCreateBufferFromOutputTexture(e,t,r,n,o){var a=t;if(2===ENV.get(\"WEBGL_VERSION\")){var i=e,s=i.createBuffer();callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,s)});var u=4*getUnpackedArraySizeFromMatrixSize(r*n,o.downloadUnpackNumChannels);callAndCheck(e,function(){return e.bufferData(i.PIXEL_PACK_BUFFER,u,e.STATIC_DRAW)}),callAndCheck(e,function(){return i.readPixels(0,0,n,r,e.RGBA,e.FLOAT,0)}),callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,null)}),a=s}return a}function downloadFloat32MatrixFromBuffer(e,t,r,n,o){var a=e,i=new Float32Array(getUnpackedArraySizeFromMatrixSize(r*n,o.downloadUnpackNumChannels));a.bindBuffer(e.ARRAY_BUFFER,t),a.getBufferSubData(e.ARRAY_BUFFER,0,i),a.bindBuffer(e.ARRAY_BUFFER,null);var s=new Float32Array(r*n);return decodeMatrixFromUnpackedArray(i,s,o.downloadUnpackNumChannels),s}function downloadFloat32MatrixFromOutputTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r),a=o[0],i=o[1],s=new Float32Array(getUnpackedArraySizeFromMatrixSize(t*r,n.downloadUnpackNumChannels));callAndCheck(e,function(){return e.readPixels(0,0,a,i,n.downloadTextureFormat,e.FLOAT,s)});var u=new Float32Array(t*r);return decodeMatrixFromUnpackedArray(s,u,n.downloadUnpackNumChannels),u}function downloadByteEncodedFloatMatrixFromOutputTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r),a=o[0],i=o[1],s=new Uint8Array(getUnpackedArraySizeFromMatrixSize(t*r,4));return callAndCheck(e,function(){return e.readPixels(0,0,a,i,n.downloadTextureFormat,e.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function downloadMatrixFromPackedOutputTexture(e,t,r,n,o,a,i){var s=getPackedMatrixTextureShapeWidthHeight(o,a),u=s[0],l=s[1],c=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(o,a));callAndCheck(e,function(){return e.readPixels(0,0,u,l,e.RGBA,e.FLOAT,c)});var p=new Float32Array(sizeFromShape([t,r,n]));return decodeMatrixFromPackedRGBA(c,t,r,n,p)}var gpgpu_util=Object.freeze({createVertexShader:createVertexShader$1,createVertexBuffer:createVertexBuffer,createIndexBuffer:createIndexBuffer,getTextureConfig:getTextureConfig,createFloat32MatrixTexture:createFloat32MatrixTexture,createFloat16MatrixTexture:createFloat16MatrixTexture,createUnsignedBytesMatrixTexture:createUnsignedBytesMatrixTexture,createPackedMatrixTexture:createPackedMatrixTexture,createFloat16PackedMatrixTexture:createFloat16PackedMatrixTexture,bindVertexProgramAttributeStreams:bindVertexProgramAttributeStreams,uploadPixelDataToTexture:uploadPixelDataToTexture,uploadMatrixToTexture:uploadMatrixToTexture,uploadMatrixToPackedTexture:uploadMatrixToPackedTexture,maybeCreateBufferFromOutputTexture:maybeCreateBufferFromOutputTexture,downloadFloat32MatrixFromBuffer:downloadFloat32MatrixFromBuffer,downloadFloat32MatrixFromOutputTexture:downloadFloat32MatrixFromOutputTexture,downloadByteEncodedFloatMatrixFromOutputTexture:downloadByteEncodedFloatMatrixFromOutputTexture,downloadMatrixFromPackedOutputTexture:downloadMatrixFromPackedOutputTexture}),GPGPUContext=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:getWebGLContext(ENV.get(\"WEBGL_VERSION\")),1===ENV.get(\"WEBGL_VERSION\")?(this.textureFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_float\"),this.colorBufferFloatExtension=this.gl.getExtension(\"WEBGL_color_buffer_float\"),ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")||(this.textureHalfFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_half_float\"),this.colorBufferHalfFloatExtension=this.gl.getExtension(\"EXT_color_buffer_half_float\"))):this.colorBufferFloatExtension=getExtensionOrThrow(this.gl,\"EXT_color_buffer_float\"),this.vertexBuffer=createVertexBuffer(this.gl),this.indexBuffer=createIndexBuffer(this.gl),this.framebuffer=createFramebuffer(this.gl),this.textureConfig=getTextureConfig(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),null!=this.outputTexture&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");var t=this.gl;callAndCheck(t,function(){return t.finish()}),callAndCheck(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),callAndCheck(t,function(){return t.deleteFramebuffer(e.framebuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,enableDebugWebGLErrorChecking(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat32MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),createUnsignedBytesMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),uploadPixelDataToTexture(this.gl,e,t)},e.prototype.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16PackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createPackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(unbindColorTextureFromFramebuffer(this.gl,this.framebuffer),this.outputTexture=null),callAndCheck(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,r,n){this.throwIfDisposed();var o=getNumChannels();return uploadMatrixToTexture(this.gl,e,t,r,n,o,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,r,n,o){return this.throwIfDisposed(),uploadMatrixToPackedTexture(this.gl,e,t,r,n,o,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,r){var n=this;return this.downloadMatrixDriver(e,function(){return downloadFloat32MatrixFromOutputTexture(n.gl,t,r,n.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,r){var n=this;return this.downloadMatrixDriver(e,function(){return downloadByteEncodedFloatMatrixFromOutputTexture(n.gl,t,r,n.textureConfig)})},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t,r){return downloadFloat32MatrixFromBuffer(this.gl,e,t,r,this.textureConfig)},e.prototype.maybeCreateBufferFromTexture=function(e,t,r){this.bindTextureToFrameBuffer(e);var n=maybeCreateBufferFromOutputTexture(this.gl,e,t,r,this.textureConfig);return this.unbindTextureToFrameBuffer(),n},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,r,n=this;if(ENV.get(\"WEBGL_FENCE_API_ENABLED\")){var o=e,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),r=function(){var e=o.clientWaitSync(a,0,0);return e===o.ALREADY_SIGNALED||e===o.CONDITION_SATISFIED},t=a}else ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(t=this.beginQuery(),this.endQuery(),r=function(){return n.isQueryAvailable(t,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}):r=function(){return!0};return{query:t,isFencePassed:r}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,r,n,o,a){var i=this;return this.downloadMatrixDriver(e,function(){return downloadMatrixFromPackedOutputTexture(i.gl,t,r,n,o,a,i.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,r=createFragmentShader(t,e),n=createVertexShader$1(t),o=createProgram(t);return callAndCheck(t,function(){return t.attachShader(o,n)}),callAndCheck(t,function(){return t.attachShader(o,r)}),linkProgram(t,o),this.autoDebugValidate&&validateProgram(t,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=bindVertexProgramAttributeStreams(t,this.program,this.vertexBuffer)),o},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&callAndCheck(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&validateProgram(this.gl,this.program),callAndCheck(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,r){return void 0===r&&(r=!0),this.throwIfDisposed(),r?getProgramUniformLocationOrThrow(this.gl,e,t):getProgramUniformLocation(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var r=this;return this.throwIfDisposed(),callAndCheck(this.gl,function(){return r.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,r){this.throwIfDisposed(),this.throwIfNoProgram(),bindTextureToProgramUniformSampler(this.gl,this.program,e,t,r)},e.prototype.setOutputMatrixTexture=function(e,t,r){this.setOutputMatrixTextureDriver(e,r,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,r){this.throwIfDisposed();var n=getPackedMatrixTextureShapeWidthHeight(t,r),o=n[0],a=n[1];this.setOutputMatrixTextureDriver(e,o,a)},e.prototype.setOutputMatrixWriteRegion=function(e,t,r,n){this.setOutputMatrixWriteRegionDriver(r,e,n,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,r,n){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")},e.prototype.debugValidate=function(){null!=this.program&&validateProgram(this.gl,this.program),validateFramebuffer(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),callAndCheck(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=getExtensionOrThrow(this.gl,2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),r=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,r),r}var n=this.getQueryTimerExtensionWebGL1(),o=n.createQueryEXT();return n.beginQueryEXT(n.TIME_ELAPSED_EXT,o),o},e.prototype.endQuery=function(){if(2!==ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,r=this.getQueryTimerExtensionWebGL2();t.endQuery(r.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(r){switch(r.label){case 0:return[4,repeatedTry(function(){return t.disposed||t.isQueryAvailable(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))})];case 1:return r.sent(),[2,this.getQueryTime(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))]}})})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var r=this.gl;return r.getQueryParameter(e,r.QUERY_RESULT)/1e6}var n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(e,n.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var r=this.gl,n=this.getQueryTimerExtensionWebGL2(),o=r.getQueryParameter(e,r.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(n=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,n.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise(function(r){t.addItemToPoll(function(){return e.isFencePassed()},function(){return r()})})},e.prototype.pollItems=function(){for(var e=binSearchLastTrue(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var r=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||repeatedTry(function(){return r.pollItems(),0===r.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),bindColorTextureToFramebuffer(this.gl,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(bindColorTextureToFramebuffer(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)):unbindColorTextureFromFramebuffer(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var r=t();return this.unbindTextureToFrameBuffer(),r},e.prototype.setOutputMatrixTextureDriver=function(e,t,r){this.throwIfDisposed();var n=this.gl;bindColorTextureToFramebuffer(n,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(n),this.outputTexture=e,callAndCheck(n,function(){return n.viewport(0,0,t,r)}),callAndCheck(n,function(){return n.scissor(0,0,t,r)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,r,n){var o=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return o.gl.scissor(e,t,r,n)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error(\"No GPU program is currently set.\")},e}();function binSearchLastTrue(e){for(var t=0,r=e.length-1,n=-1;t<=r;){var o=t+r>>1;e[o]()?(n=o,t=o+1):r=o-1}return n}function compileProgram(e,t,r,n){for(var o=t.userCode,a=r.map(function(e,r){var n={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked};return{name:t.variableNames[r],shapeInfo:n}}),i=a.map(function(e){return e.shapeInfo}),s={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked},u=makeShader(a,s,o,!0===t.supportsBroadcasting,t.usesPackedTextures),l=e.createProgram(u),c={},p=0;p<t.variableNames.length;p++){var d=t.variableNames[p];c[d]=e.getUniformLocation(l,d,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:i,outShapeInfo:s}}function validateBinaryAndProgram(e,t){if(e.length!==t.length)throw Error(\"Binary was compiled with \"+e.length+\" inputs, but was executed with \"+t.length+\" inputs\");e.forEach(function(e,r){var n=e.logicalShape,o=t[r],a=o.shape;if(!arraysEqual(n,a))throw Error(\"Binary was compiled with different shapes than the current args. Shapes \"+n+\" and \"+a+\" must match\");if(!e.isUniform||!o.isUniform){var i=e.texShape,s=o.isUniform?null:o.texData.texShape;if(!arraysEqual(i,s))throw Error(\"Binary was compiled with different texture shapes than the current args. Shape \"+i+\" and \"+s+\" must match\")}})}function runProgram(e,t,r,n){validateBinaryAndProgram(e.inShapeInfos,t),validateBinaryAndProgram([e.outShapeInfo],[r]);var o=r.texData.texture,a=r.texData.texShape,i=e.gpgpu;r.texData.isPacked?i.setOutputPackedMatrixTexture(o,a[0],a[1]):i.setOutputMatrixTexture(o,a[0],a[1]),i.setProgram(e.webGLProgram),t.forEach(function(t,r){var n=e.program.variableNames[r],o=e.uniformLocations[n];if(null!=o){if(t.isUniform){if(1===sizeFromShape(t.shape))i.gl.uniform1f(o,t.uniformValues[0]);else{var a=t.uniformValues;a instanceof Float32Array||(a=new Float32Array(a)),i.gl.uniform1fv(o,a)}return}var s=t.texData.texture;i.setInputMatrixTexture(s,o,r)}}),null!=n&&n(i,e.webGLProgram),i.executeProgram()}function makeShaderKey(e,t,r){var n=\"\";t.concat(r).forEach(function(e){n+=e.shape+\"_\"+(e.isUniform?\"uniform\":e.texData.texShape)});var o=e.userCode,a=(!0===e.supportsBroadcasting).toString(),i=e.constructor.name;return i+=\"_\"+a+\"_\"+n+\"_\"+o}var Im2ColProgram=function(){return function(e,t,r){this.variableNames=[\"A\"],this.outputShape=e;var n=r.filterWidth,o=r.inChannels,a=r.strideWidth,i=r.strideHeight,s=r.padInfo,u=r.outWidth,l=r.dilationWidth,c=r.dilationHeight,p=s.left,d=s.top,h=o*n;this.userCode=\"\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n\\n        vec4 result = vec4(0);\\n\\n        for(int row=0; row<=1; row++) {\\n          for(int col=0; col<=1; col++) {\\n            int blockIndex = rc.y + col;\\n            int pos = rc.x + row;\\n\\n            if(blockIndex >= \"+e[1]+\" || pos >= \"+e[0]+\") continue;\\n\\n            int offsetY = int(blockIndex / (\"+u+\")) * \"+i+\" - \"+d+\";\\n            int d0 = offsetY + \"+c+\" * (pos / \"+h+\");\\n\\n            if(d0 >= \"+t[0]+\" || d0 < 0) continue;\\n\\n            int offsetX = int(mod(float(blockIndex), \"+u+\".) * \"+a+\". - \"+p+\".);\\n            int d1 = offsetX + \"+l+\" * (int(mod(float(pos), \"+h+\".) / \"+o+\".));\\n\\n            if(d1 >= \"+t[1]+\" || d1 < 0) continue;\\n\\n            result[row * 2 + col] = getA(d0, d1, int(mod(float(pos), \"+o+\".)));\\n          }\\n        }\\n\\n        gl_FragColor = result;\\n      }\\n    \"}}(),LRNProgram=function(){return function(e,t,r,n,o){this.variableNames=[\"x\"],this.outputShape=[];var a,i=t,s=e[3]-1;this.outputShape=e;var u=\"float(\"+r+\") + float(\"+n+\") * sum\";a=.5===o?\"inversesqrt(\"+u+\")\":1===o?\"1.0/(\"+u+\")\":\"exp(log(\"+u+\") * float(-\"+o+\"));\",this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n        int d = coords[3];\\n        float x = getX(b, r, c, d);\\n        float sum = 0.0;\\n        for (int j = -\"+i+\"; j <= \"+i+\"; j++) {\\n          int idx = d + j;\\n          if (idx >= 0 && idx <=  \"+s+\") {\\n            float z = getX(b, r, c, idx);\\n            sum += z * z;\\n          }\\n        }\\n        float val = x * \"+a+\";\\n        setOutput(val);\\n      }\\n    \"}}(),LRNGradProgram=function(){return function(e,t,r,n,o){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=r,this.alpha=n,this.beta=o,this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float result = 0.0;\\n        for (int d = 0; d < \"+this.depth+\"; ++d) {\\n          int depthBegin = int(max(0.0, float(d - \"+t+\")));\\n          int depthEnd = int(min(float(\"+this.depth+\"),\\n              float(d + \"+t+\" + 1)));\\n\\n          const int MIN_DEPTH_BEGIN = 0;\\n          const int MAX_DEPTH_END = \"+this.depth+\";\\n\\n          float norm = 0.0;\\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd) {\\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n\\n          norm = float(\"+n+\") * norm + float(\"+r+\");\\n\\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd){\\n              float dyi = -2.0 * float(\"+n+\")\\n                * float(\"+o+\")\\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\\n                / norm;\\n              if (k == d) {\\n                dyi += pow(norm, -1.0 * \"+o+\");\\n              }\\n              if (k == coords[3]) {\\n                dyi *= getDy(b, r, c, d);\\n                result += dyi;\\n              }\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n      }\\n      setOutput(result);\\n      }\\n    \"}}(),MaxPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;var t=e.strideHeight,r=e.strideWidth,n=e.dilationHeight,o=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=o-1-e.padInfo.top,s=a-1-e.padInfo.left,u=o*a-1;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+i+\", \"+s+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+o+\";\\n          wR += \"+n+\") {\\n          float dyR = float(dyRCorner + wR) / \"+t+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+a+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+r+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n            int maxPosValue = \"+u+\" - int(getMaxPos(b, idyR, idyC, d));\\n\\n            // Get the current value, check it against the value from the\\n            // position matrix.\\n            int curPosValue = wR * \"+a+\" + wC;\\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\\n\\n            dotProd += dyValue * mask;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),MatMulProgram=function(){return function(e,t,r,n){void 0===r&&(r=!1),void 0===n&&(n=!1),this.variableNames=[\"matrixA\",\"matrixB\"];var o=e[0],a=r?e[2]:e[1],i=n?t[1]:t[2],s=r?e[1]:e[2];this.outputShape=[o,a,i];var u=function(e,t){return r?\"batch, \"+t+\" + \"+e+\", aRow\":\"batch, aRow, \"+t+\" + \"+e},l=function(e,t){return n?\"batch, bCol, \"+t+\" + \"+e:\"batch, \"+t+\" + \"+e+\", bCol\"},c=4*Math.floor(s/4),p=s%4;this.userCode=\" float dotARowBCol(int batch, int aRow, int bCol) {\\n      float result = 0.0;\\n      for (int i = 0; i < \"+c+\"; i += 4) {\\n        vec4 a = vec4(\\n          getMatrixA(\"+u(0,\"i\")+\"),\\n          getMatrixA(\"+u(1,\"i\")+\"),\\n          getMatrixA(\"+u(2,\"i\")+\"),\\n          getMatrixA(\"+u(3,\"i\")+\")\\n        );\\n        vec4 b = vec4(\\n          getMatrixB(\"+l(0,\"i\")+\"),\\n          getMatrixB(\"+l(1,\"i\")+\"),\\n          getMatrixB(\"+l(2,\"i\")+\"),\\n          getMatrixB(\"+l(3,\"i\")+\")\\n        );\\n\\n        result += dot(a, b);\\n      }\\n\\n      if (\"+(1===p)+\") {\\n        result += getMatrixA(\"+u(0,c)+\") *\\n          getMatrixB(\"+l(0,c)+\");\\n      } else if (\"+(2===p)+\") {\\n        vec2 a = vec2(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\")\\n        );\\n        vec2 b = vec2(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\")\\n        );\\n        result += dot(a, b);\\n      } else if (\"+(3===p)+\") {\\n        vec3 a = vec3(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\"),\\n          getMatrixA(\"+u(2,c)+\")\\n        );\\n        vec3 b = vec3(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\"),\\n          getMatrixB(\"+l(2,c)+\")\\n        );\\n        result += dot(a, b);\\n      }\\n\\n      return result;\\n    }\\n\\n    void main() {\\n      ivec3 resBRC = getOutputCoords();\\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\\n    }\\n    \"}}(),MatMulPackedProgram=function(){return function(e,t,r,n,o){void 0===n&&(n=!1),void 0===o&&(o=!1),this.variableNames=[\"matrixA\",\"matrixB\"],this.usesPackedTextures=!0,this.outputShape=r;var a=n?e[0]:e[1],i=Math.ceil(a/2),s=n?\"i * 2, rc.x\":\"rc.x, i * 2\",u=o?\"rc.y, i * 2\":\"i * 2, rc.y\",l=n?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],c=o?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"];this.userCode=\"\\n      const float sharedDimension = \"+i+\".0;\\n\\n      vec4 dot2x2ARowBCol(ivec2 rc) {\\n        vec4 result = vec4(0);\\n        for (int i = 0; i < \"+i+\"; i++) {\\n          vec4 a = getMatrixA(\"+s+\");\\n          vec4 b = getMatrixB(\"+u+\");\\n\\n          result += (\"+l[0]+\" * \"+c[0]+\") + (\"+l[1]+\" * \"+c[1]+\");\\n        }\\n        return result;\\n      }\\n\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n        setOutput(dot2x2ARowBCol(rc));\\n      }\\n    \"}}(),MultinomialProgram=function(){function e(e,t,r){this.variableNames=[\"probs\"],this.outputShape=[e,r],this.userCode=\"\\n      uniform float seed;\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n\\n        float r = random(seed);\\n        float cdf = 0.0;\\n\\n        for (int i = 0; i < \"+(t-1)+\"; i++) {\\n          cdf += getProbs(batch, i);\\n\\n          if (r < cdf) {\\n            setOutput(float(i));\\n            return;\\n          }\\n        }\\n\\n        // If no other event happened, last event happened.\\n        setOutput(float(\"+(t-1)+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(r,n){null==t.seedLoc&&(t.seedLoc=r.getUniformLocation(n,\"seed\")),r.gl.uniform1f(t.seedLoc,e)}},e}(),OneHotProgram=function(){return function(e,t,r,n){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int index = round(getIndices(coords.x));\\n        setOutput(mix(float(\"+n+\"), float(\"+r+\"),\\n                      float(index == coords.y)));\\n      }\\n    \"}}();function getVecChannels(e,t){return[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,t).map(function(t){return e+\".\"+t})}function getChannels(e,t){return 1===t?[e]:getVecChannels(e,t)}function getSourceCoords$1(e,t){if(1===e)return\"rc\";for(var r=\"\",n=0;n<e;n++)r+=t[n],n<e-1&&(r+=\",\");return r}var PackProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e;var t=e.length,r=getChannels(\"rc\",t),n=getCoordsDataType(t),o=getOutOfBoundsCondition(t,e,r),a=getSetup(t,e[e.length-1],e[e.length-2],r),i=getOutput(e,r);this.userCode=\"\\n      void main() {\\n        \"+n+\" rc = getOutputCoords();\\n\\n        if(\"+o+\") {\\n          gl_FragColor = vec4(0);\\n        } else {\\n          \"+a+\"\\n\\n          setOutput(vec4(\"+i+\"));\\n        }\\n      }\\n    \"}}();function getSourceCoordsArr(e,t){for(var r=[],n=0;n<=1;n++)for(var o=0;o<=1;o++){for(var a=(0===n?\"r\":\"rp1\")+\", \"+(0===o?\"c\":\"cp1\"),i=2;i<e;i++)a=t[t.length-1-i]+\",\"+a;r.push(a)}return r}function getOutOfBoundsCondition(e,t,r){if(1===e)return\"rc > \"+t[0];for(var n=\"\",o=e-2;o<e;o++)n+=r[o]+\" >= \"+t[o],o<e-1&&(n+=\"||\");return n}function getSetup(e,t,r,n){if(1===e)return\"\";var o=n.slice(-2);return\"\\n    int r = \"+o[0]+\";\\n    int c = \"+o[1]+\";\\n    int rp1 = r + 1;\\n    int cp1 = c + 1;\\n\\n    bool cEdge = cp1 >= \"+t+\";\\n    bool rEdge = rp1 >= \"+r+\";\\n  \"}function getOutput(e,t){var r=e.length,n=getSourceCoordsArr(r,t);return 1===r?\"getA(rc),\\n            rc + 1 >= \"+e[0]+\" ? 0. : getA(rc + 1),\\n            0, 0\":\"getA(\"+n[0]+\"),\\n          cEdge ? 0. : getA(\"+n[1]+\"),\\n          rEdge ? 0. : getA(\"+n[2]+\"),\\n          rEdge || cEdge ? 0. : getA(\"+n[3]+\")\"}var PadProgram=function(){return function(e,t,r){this.variableNames=[\"x\"],this.outputShape=t.map(function(t,r){return t[0]+e[r]+t[1]});var n=e.length,o=getCoordsDataType(n),a=t.map(function(e){return e[0]}).join(\",\"),i=t.map(function(t,r){return t[0]+e[r]}).join(\",\"),s=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,n);this.userCode=1!==n?\"\\n      \"+o+\" start = \"+o+\"(\"+a+\");\\n      \"+o+\" end = \"+o+\"(\"+i+\");\\n\\n      void main() {\\n        \"+o+\" outC = getOutputCoords();\\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\\n          setOutput(float(\"+r+\"));\\n        } else {\\n          \"+o+\" coords = outC - start;\\n          setOutput(getX(\"+s+\"));\\n        }\\n      }\\n    \":\"\\n        int start = \"+a+\";\\n        int end = \"+i+\";\\n\\n        void main() {\\n          int outC = getOutputCoords();\\n          if (outC < start || outC >= end) {\\n            setOutput(float(\"+r+\"));\\n          } else {\\n            setOutput(getX(outC - start));\\n          }\\n        }\\n      \"}}(),Pool2DProgram=function(){return function(e,t,r){if(this.variableNames=[\"x\"],\"avg\"===t&&r)throw new Error(\"Cannot compute positions for average pool.\");var n=e.filterWidth,o=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,s=e.dilationWidth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=e.padInfo.top,p=e.padInfo.left;this.outputShape=e.outShape;var d=\"avg\"===t,h=\"0.0\";if(d||(h=\"-1.0 / 0.0\"),r)this.userCode=\"\\n        const ivec2 strides = ivec2(\"+o+\", \"+a+\");\\n        const ivec2 pads = ivec2(\"+c+\", \"+p+\");\\n\\n        void main() {\\n          ivec4 coords = getOutputCoords();\\n          int batch = coords[0];\\n          int d = coords[3];\\n\\n          ivec2 xRCCorner = coords.yz * strides - pads;\\n          int xRCorner = xRCCorner.x;\\n          int xCCorner = xRCCorner.y;\\n\\n          // max/min x(?, ?, d) to get y(yR, yC, d).\\n          // ? = to be determined\\n          float minMaxValue = 0.0;\\n          float minMaxValueFound = 0.0;\\n          int minMaxPosition = 0;\\n          float avgValue = 0.0;\\n\\n          for (int wR = 0; wR < \"+u+\";\\n              wR += \"+i+\") {\\n            int xR = xRCorner + wR;\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int wC = 0; wC < \"+l+\";\\n                wC += \"+s+\") {\\n              int xC = xCCorner + wC;\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float value = getX(batch, xR, xC, d);\\n\\n              // If a min / max value has already been found, use it. If not,\\n              // use the current value.\\n              float currMinMaxValue = mix(\\n                  value, minMaxValue, minMaxValueFound);\\n              if (value >= currMinMaxValue) {\\n                minMaxValue = value;\\n                minMaxValueFound = 1.0;\\n                minMaxPosition = wR * \"+l+\" + wC;\\n              }\\n            }\\n          }\\n          setOutput(float(minMaxPosition));\\n        }\\n      \";else{var f=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"avg\"===t&&(f=\"avgValue / count\");var m=4*Math.floor(n/4),g=n%4,v=\"\\n      if (\"+d+\") {\\n        avgValue += dot(values, ones);\\n      } else {\\n        minMaxValue = max(values, minMaxValue);\\n      }\\n    \";this.userCode=\"\\n      const ivec2 strides = ivec2(\"+o+\", \"+a+\");\\n      const ivec2 pads = ivec2(\"+c+\", \"+p+\");\\n      const float initializationValue = \"+h+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float count = 0.0;\\n\\n      float getValue(int batch, int xR, int xC, int d) {\\n        if (xC < 0 || xC >= \"+e.inWidth+\") {\\n          return initializationValue;\\n        }\\n        count += 1.0;\\n        return getX(batch, xR, xC, d);\\n      }\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // max/min x(?, ?, d) to get y(yR, yC, d).\\n        // ? = to be determined\\n        vec4 minMaxValue = vec4(\"+h+\");\\n        float avgValue = 0.0;\\n        count = 0.0;\\n\\n        for (int wR = 0; wR < \"+u+\";\\n            wR += \"+i+\") {\\n          int xR = xRCorner + wR;\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+m+\"; wC += 4) {\\n            int xC = xCCorner + wC * \"+s+\";\\n\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + \"+s+\", d),\\n              getValue(batch, xR, xC + 2 * \"+s+\", d),\\n              getValue(batch, xR, xC + 3 * \"+s+\", d)\\n            );\\n\\n            \"+v+\"\\n          }\\n\\n          int xC = xCCorner + \"+m+\";\\n          if (\"+(1===g)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              initializationValue,\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+v+\"\\n          } else if (\"+(2===g)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + \"+s+\", d),\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+v+\"\\n          } else if (\"+(3===g)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + \"+s+\", d),\\n              getValue(batch, xR, xC + 2 * \"+s+\", d),\\n              initializationValue\\n            );\\n\\n            \"+v+\"\\n          }\\n        }\\n        setOutput(\"+f+\");\\n      }\\n    \"}}}(),ReduceProgram=function(){return function(e,t){this.variableNames=[\"x\"];var r=e.windowSize,n=e.batchSize,o=e.inSize,a=Math.ceil(o/r);this.outputShape=[n,a];var i=\"0.0\",s=\"\";\"prod\"===t?i=\"1.0\":\"min\"===t?(i=\"1.0 / 0.0\",s=\"min\"):\"max\"===t&&(i=\"-1.0 / 0.0\",s=\"max\");var u=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"sum\"===t?u=\"sumValue\":\"prod\"===t?u=\"prodValue\":\"all\"===t?u=\"allValue\":\"any\"===t&&(u=\"anyValue\");var l=4*Math.floor(r/4),c=r%4,p=\"\\n      if (\"+(\"sum\"===t)+\") {\\n        sumValue += dot(values, ones);\\n      } else if (\"+(\"prod\"===t)+\") {\\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\\n        prodValue *= tmp[0] * tmp[1];\\n      } else {\\n        minMaxValue = \"+s+\"(values, minMaxValue);\\n      }\\n    \",d=\"vec4\";\"all\"===t?(i=\"1.0\",p=\"\\n        bool reducedAllValue = all(values);\\n        float floatedReducedAllValue = float(reducedAllValue);\\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\\n      \",d=\"bvec4\"):\"any\"===t&&(i=\"0.0\",p=\"\\n        bool reducedAnyValue = any(values);\\n        float floatedReducedAnyValue = float(reducedAnyValue);\\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\\n      \",d=\"bvec4\");var h=\"\";o%r>0&&(h=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = \"+i+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+h+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+r+\";\\n\\n        vec4 minMaxValue = vec4(\"+i+\");\\n        float prodValue = 1.0;\\n        float sumValue = 0.0;\\n        float allValue = 1.0;\\n        float anyValue = 0.0;\\n\\n        for (int i = 0; i < \"+l+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          \"+p+\"\\n        }\\n\\n        int inIdx = inOffset + \"+l+\";\\n        if (\"+(1===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(2===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(3===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        }\\n        setOutput(\"+u+\");\\n      }\\n    \"}}(),ReshapePackedProgram=function(){return function(e,t){this.variableNames=[\"A\"],this.usesPackedTextures=!0,this.outputShape=e;for(var r=\"\",n=0;n<4;n++){var o=\"thisRC = rc;\";n%2==1&&(o+=\"thisRC.z += 1;\"),n>1&&(o+=\"thisRC.y += 1;\"),r+=\"\\n        \"+o+\"\\n        \"+(n>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\")+\"\\n          int flatIndex = getFlatIndex(thisRC);\\n\\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\\n\\n          result[\"+n+\"] =\\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\\n        \"+(n>0?\"}\":\"\")+\"\\n      \"}this.userCode=\"\\n      \"+getReshapedInputCoords(t)+\"\\n      \"+getFlatIndex(e)+\"\\n\\n      void main() {\\n        ivec3 rc = getOutputCoords();\\n\\n        vec4 result = vec4(0.);\\n\\n        ivec3 thisRC;\\n        int rows = \"+e[1]+\";\\n        int cols = \"+e[2]+\";\\n\\n        \"+r+\"\\n\\n        setOutput(result);\\n      }\\n    \"}}();function getFlatIndex(e){return\"\\n    int getFlatIndex(ivec3 coords) {\\n      return round(\"+dotify([\"coords.x\",\"coords.y\",\"coords.z\"],computeStrides(e).map(function(e){return e.toString()}).concat([\"1.\"]))+\");\\n    }\\n  \"}function getReshapedInputCoords(e){return\"\\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\\n      \"+getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\"],e)+\"\\n      return ivec3(r, c, d);\\n    }\\n  \"}var ResizeBilinearBackpropProgram=function(){return function(e,t,r){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var n=t.shape,o=n[1],a=n[2],i=e.shape,s=i[1],u=i[2],l=[r&&s>1?o-1:o,r&&u>1?a-1:a],c=[r&&s>1?s-1:s,r&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(startRLerp - float(winHeight / 2));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(startCLerp - float(winWidth / 2));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float dxR = float(dyR) * heightScale;\\n            int topDxRIndex = int(floor(dxR));\\n            int bottomDxRIndex = int(min(ceil(dxR), \"+(o-1)+\".0));\\n            float dxRLerp = dxR - float(topDxRIndex);\\n            float inverseDxRLerp = 1.0 - dxRLerp;\\n\\n            float dxC = float(dyC) * widthScale;\\n            int leftDxCIndex = int(floor(dxC));\\n            int rightDxCIndex = int(min(ceil(dxC), \"+(a-1)+\".0));\\n            float dxCLerp = dxC - float(leftDxCIndex);\\n            float inverseDxCLerp = 1.0 - dxCLerp;\\n\\n            if (r == topDxRIndex && c == leftDxCIndex) {\\n              // topLeft\\n              accumulator +=\\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == topDxRIndex && c == rightDxCIndex) {\\n              // topRight\\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\\n              // bottomLeft\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\\n              // bottomRight\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeBilinearProgram=function(){return function(e,t,r,n){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,r,s];var u=[n&&t>1?a-1:a,n&&r>1?i-1:i],l=[n&&t>1?t-1:t,n&&r>1?r-1:r];this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the four integer indices.\\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n        ivec2 sourceCeilRC = ivec2(\\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\\n\\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n        float newValue = top + (bottom - top) * fracRC.x;\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ResizeNearestNeigborBackpropProgram=function(){return function(e,t,r){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var n=t.shape,o=n[1],a=n[2],i=e.shape,s=i[1],u=i[2],l=[r&&s>1?o-1:o,r&&u>1?a-1:a],c=[r&&s>1?s-1:s,r&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float sourceFracRow =\\n              float(\"+l[0]+\") *\\n                (float(dyR) / float(\"+c[0]+\"));\\n\\n            float sourceFracCol =\\n                float(\"+l[1]+\") *\\n                  (float(dyC) / float(\"+c[1]+\"));\\n\\n            int sourceNearestRow = int(min(\\n                float(int(\"+o+\") - 1),\\n                \"+r+\" ? float(round(sourceFracRow)) :\\n                                  float(floor(sourceFracRow))));\\n\\n            int sourceNearestCol = int(min(\\n                float(int(\"+a+\") - 1),\\n                \"+r+\" ? float(round(sourceFracCol)) :\\n                                  float(floor(sourceFracCol))));\\n\\n            if (r == sourceNearestRow && c == sourceNearestCol) {\\n              accumulator += getDy(b, dyR, dyC, d);\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeNearestNeighborProgram=function(){return function(e,t,r,n){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,r,s];var u=[n&&t>1?a-1:a,n&&r>1?i-1:i],l=[n&&t>1?t-1:t,n&&r>1?r-1:r],c=n?\"0.5\":\"0.0\";this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the coordinators of nearest neighbor point.\\n        ivec2 sourceNearestRC = ivec2(\\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + \"+c+\")));\\n\\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ReverseProgram=function(){return function(e,t){this.variableNames=[\"x\"];var r=e.length;if(r>4)throw new Error(\"WebGL backend: Reverse of rank-\"+r+\" tensor is not yet supported\");if(this.outputShape=e,1!==r){var n=e.map(function(r,n){return function(r){return-1!==t.indexOf(r)&&1!==e[r]?e[r]+\" - coords[\"+r+\"] - 1\":\"coords[\"+r+\"]\"}(n)}).join(\",\"),o=getCoordsDataType(r);this.userCode=\"\\n      void main() {\\n        \"+o+\" coords = getOutputCoords();\\n        setOutput(getX(\"+n+\"));\\n      }\\n    \"}else this.userCode=\"\\n        void main() {\\n          int coord = getOutputCoords();\\n          setOutput(getX(\"+e[0]+\" - coord - 1));\\n        }\\n      \"}}(),ScatterProgram=function(){return function(e,t,r,n,o,a,i){void 0===i&&(i=!0),this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=a;var s=getCoordsDataType(o.length),u=getCoordsDataType(a.length),l=\"\";1===r?l=\"i\":2===r&&(l=\"i, j\");var c=\"getIndices(\"+l+\")\",p=\"\";1===n?p=\"i\":2===n&&(p=\"i, coords[1]\");var d=\"getUpdates(\"+p+\")\",h=t>1?\"strides[j]\":\"strides\";this.userCode=\"\\n        \"+s+\" strides = \"+s+\"(\"+o+\");\\n\\n        void main() {\\n          \"+u+\" coords = getOutputCoords();\\n          float sum = 0.0;\\n          bool found = false;\\n          for (int i = 0; i < \"+e+\"; i++) {\\n            int flattenedIndex = 0;\\n            for (int j = 0; j < \"+t+\"; j++) {\\n              int index = round(\"+c+\");\\n              flattenedIndex += index * \"+h+\";\\n            }\\n            if (flattenedIndex == coords[0]) {\\n              sum += \"+d+\";\\n              found = true;\\n            }\\n          }\\n          setOutput(mix(getDefaultValue(), sum, float(found)));\\n        }\\n      \"}}(),SegmentOpProgram=function(){return function(e,t){this.variableNames=[\"x\",\"segmentIds\"];var r=e.windowSize,n=e.batchSize,o=e.inSize,a=e.numSegments,i=a*Math.ceil(o/r);this.outputShape=[n,i];var s=4*Math.floor(r/4),u=r%4,l=\"\\n        sumValue += dot(values, filter);\\n    \",c=\"\";o%r>0&&(c=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \");var p=\"\";o%r>0&&(p=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return -1.0;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = 0.0;\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+c+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      float getSegmentIdAtIndex(int inIdx) {\\n        \"+p+\"\\n        return getSegmentIds(inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = int(floor(float(outIdx) / float(\\n          \"+a+\")) * float(\"+r+\"));\\n        int currentSeg = int(mod(float(outIdx), float(\"+a+\")));\\n\\n        float sumValue = 0.0;\\n\\n        for (int i = 0; i < \"+s+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\\n          );\\n\\n          \"+l+\"\\n        }\\n\\n        int inIdx = inOffset + \"+s+\";\\n        if (\"+(1===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            0,\\n            0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(2===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n              0,\\n              0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(3===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        }\\n        setOutput(sumValue);\\n      }\\n    \"}}(),SelectProgram=function(){return function(e,t,r){var n,o;if(this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t,r>4)throw Error(\"Where for rank \"+r+\" is not yet supported\");if(1===r)o=\"resRC\",n=\"resRC\";else{for(var a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],i=[],s=[],u=0;u<t.length;u++)s.push(\"\"+a[u]),u<e&&i.push(\"\"+a[u]);n=i.join(),o=s.join()}var l=getCoordsDataType(r);this.userCode=\"\\n      void main() {\\n        \"+l+\" resRC = getOutputCoords();\\n        float cVal = getC(\"+n+\");\\n        if (cVal >= 1.0) {\\n          setOutput(getA(\"+o+\"));\\n        } else {\\n          setOutput(getB(\"+o+\"));\\n        }\\n      }\\n    \"}}(),SliceProgram=function(){function e(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;var t=getCoordsDataType(this.rank),r=getCoords$1(this.rank);this.userCode=\"\\n      uniform \"+t+\" start;\\n\\n      void main() {\\n        \"+t+\" sourceLoc = start + getOutputCoords();\\n        setOutput(getSource(\"+r+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error(\"The rank (\"+this.rank+\") of the program must match the length of start (\"+e.length+\")\");return function(r,n){if(null!=t.startLoc||(t.startLoc=r.getUniformLocationNoThrow(n,\"start\"),null!=t.startLoc))if(1===t.rank)r.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)r.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)r.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error(\"Slicing for rank \"+t.rank+\" is not yet supported\");r.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}();function getCoords$1(e){if(1===e)return\"sourceLoc\";if(2===e)return\"sourceLoc.x, sourceLoc.y\";if(3===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z\";if(4===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w\";throw Error(\"Slicing for rank \"+e+\" is not yet supported\")}var StridedSliceProgram=function(){return function(e,t,r,n){this.variableNames=[\"x\"];var o=r.filter(function(e,t){return-1===n.indexOf(t)});this.outputShape=o;var a=r.length,i=getCoordsDataType(r.length),s=getCoordsDataType(o.length),u=\"\";if(1===a)u=\"coords * strides + begin\";else{var l=0;u=r.map(function(e,t){return-1===n.indexOf(t)?(l++,1===o.length?\"coords * strides[\"+t+\"] + begin[\"+t+\"]\":\"coords[\"+(l-1)+\"] * strides[\"+t+\"] + begin[\"+t+\"]\"):\"begin[\"+t+\"]\"}).join(\",\")}this.userCode=\"\\n      \"+i+\" begin = \"+i+\"(\"+e+\");\\n      \"+i+\" strides = \"+i+\"(\"+t+\");\\n\\n      void main() {\\n        \"+s+\" coords = getOutputCoords();\\n        setOutput(getX(\"+u+\"));\\n      }\\n    \"}}(),TextureManager=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t,r){var n,o=getPhysicalFromLogicalTextureType(t,r),a=getKeyFromTextureShape(e,o,r);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===PhysicalTextureType.PACKED_2X2_FLOAT32?n=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):o===PhysicalTextureType.PACKED_2X2_FLOAT16?n=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):o===PhysicalTextureType.UNPACKED_FLOAT32?n=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):o===PhysicalTextureType.UNPACKED_FLOAT16?n=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):o===PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE&&(n=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(n),n},e.prototype.releaseTexture=function(e,t,r,n){if(null!=this.freeTextures){var o=getKeyFromTextureShape(t,getPhysicalFromLogicalTextureType(r,n),n);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(e),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(e);if(i<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");a.splice(i,1),this.log()}},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",this.numFreeTextures+\" / \"+this.numUsedTextures,\"(\"+e+\")\")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});for(var t in this.usedTextures)this.usedTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function getPhysicalFromLogicalTextureType(e,t){if(t)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.PACKED_2X2_FLOAT32:PhysicalTextureType.PACKED_2X2_FLOAT16;if(e===TextureUsage.DOWNLOAD||e===TextureUsage.PIXELS)return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;if(e===TextureUsage.UPLOAD)return PhysicalTextureType.UNPACKED_FLOAT32;if(e===TextureUsage.RENDER)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.UNPACKED_FLOAT32:PhysicalTextureType.UNPACKED_FLOAT16;throw new Error(\"Unknown logical texture type \"+e)}function getKeyFromTextureShape(e,t,r){return e[0]+\"_\"+e[1]+\"_\"+t+\"_\"+r}var TileProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var r=new Array(e.length),n=0;n<r.length;n++)r[n]=e[n]*t[n];this.outputShape=r,this.rank=r.length;var o=getCoordsDataType(this.rank),a=getSourceCoords$2(e);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords$2(e){var t=e.length;if(t>5)throw Error(\"Tile for rank \"+t+\" is not yet supported\");if(1===t)return\"imod(resRC, \"+e[0]+\")\";for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],n=[],o=0;o<e.length;o++)n.push(\"imod(\"+r[o]+\", \"+e[o]+\")\");return n.join()}var TransposeProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var r=new Array(e.length),n=0;n<r.length;n++)r[n]=e[t[n]];this.outputShape=r,this.rank=r.length;var o=getCoordsDataType(this.rank),a=getSwitchedCoords(t);this.userCode=\"\\n    void main() {\\n      \"+o+\" resRC = getOutputCoords();\\n      setOutput(getA(\"+a+\"));\\n    }\\n    \"}}();function getSwitchedCoords(e){var t=e.length;if(t>6)throw Error(\"Transpose for rank \"+t+\" is not yet supported\");for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],n=new Array(t),o=0;o<e.length;o++)n[e[o]]=r[o];return n.join()}var ERF_P=.3275911,ERF_A1=.254829592,ERF_A2=-.284496736,ERF_A3=1.421413741,ERF_A4=-1.453152027,ERF_A5=1.061405429,SELU_SCALEALPHA=1.7580993408473768,SELU_SCALE=1.0507009873554805,UnaryOpProgram=function(){function e(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      uniform float NAN;\\n      float unaryOperation(float x) {\\n        \"+t+\"\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        float y = unaryOperation(x);\\n\\n        setOutput(y);\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,r){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(r,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),CHECK_NAN_SNIPPET$1=\"if (isNaN(x)) return x;\",ABS=\"return abs(x);\",RELU=CHECK_NAN_SNIPPET$1+\"\\n  return (x < 0.0) ? 0.0 : x;\\n\",ELU=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",SELU=\"\\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\\n  // see: https://arxiv.org/abs/1706.02515\\n  float scaleAlpha = \"+SELU_SCALEALPHA+\";\\n  float scale = \"+SELU_SCALE+\";\\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\\n\";function 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0;do{i=(o=2*this.random()-1)*o+(a=2*this.random()-1)*a}while(i>=1||0===i);var s=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*s,r=this.mean+this.stdDev*a*s,this.truncated&&!this.isValidTruncated(t)||(n=!0)}return this.truncated&&!this.isValidTruncated(r)||(this.nextVal=this.convertValue(r)),this.convertValue(t)},e.prototype.convertValue=function(e){return null==this.dtype||\"float32\"===this.dtype?e:Math.round(e)},e.prototype.isValidTruncated=function(e){return e<=this.upper&&e>=this.lower},e}();function clone_(e){var t=convertToTensor(e,\"x\",\"clone\");return ENV.engine.runKernel(function(e){return Tensor.make(t.shape,{dataId:t.dataId},t.dtype)},{$x:t},function(e){return{$x:function(){return e.toFloat()}}})}function eye_(e,t,r,n){void 0===n&&(n=\"float32\"),null==t&&(t=e);for(var o=buffer([e,t],n),a=e<=t?e:t,i=0;i<a;++i)o.set(1,i,i);var s=o.toTensor().as2D(e,t);if(null==r)return s;if(1===r.length)return tile(expandDims(s,0),[r[0],1,1]);if(2===r.length)return tile(expandDims(expandDims(s,0),0),[r[0],r[1],1,1]);if(3===r.length)return tile(expandDims(expandDims(expandDims(s,0),0),0),[r[0],r[1],r[2],1,1]);throw new Error(\"eye() currently supports only 1D and 2D batchShapes, but received \"+r.length+\"D.\")}function randomNormal_(e,t,r,n,o){if(void 0===t&&(t=0),void 0===r&&(r=1),null!=n&&\"bool\"===n)throw new Error(\"Unsupported data type \"+n);for(var a=new MPRandGauss(t,r,n,!1,o),i=buffer(e,n),s=0;s<i.values.length;s++)i.values[s]=a.nextValue();return i.toTensor()}function truncatedNormal_(e,t,r,n,o){if(void 0===t&&(t=0),void 0===r&&(r=1),null!=n&&\"bool\"===n)throw new Error(\"Unsupported data type \"+n);for(var a=new MPRandGauss(t,r,n,!0,o),i=buffer(e,n),s=0;s<i.values.length;s++)i.values[s]=a.nextValue();return i.toTensor()}function randomUniform_(e,t,r,n){void 0===t&&(t=0),void 0===r&&(r=1),void 0===n&&(n=\"float32\");for(var o=buffer(e,n),a=0;a<o.values.length;a++)o.values[a]=randUniform(t,r);return o.toTensor()}function rand_(e,t,r){var n=sizeFromShape(e),o=null;if(null==r||\"float32\"===r)o=new Float32Array(n);else if(\"int32\"===r)o=new Int32Array(n);else{if(\"bool\"!==r)throw new Error(\"Unknown data type \"+r);o=new Uint8Array(n)}for(var a=0;a<n;a++)o[a]=t();return Tensor.make(e,{values:o},r)}function multinomial_(e,t,r,n){void 0===n&&(n=!1);var o=convertToTensor(e,\"logits\",\"multinomial\"),a=o.size,i=o.rank;if(a<2)throw new Error(\"Error in multinomial: you need at least 2 outcomes, but got \"+a+\".\");if(i>2)throw new Error(\"Rank of probabilities must be 1 or 2, but is \"+i);r=r||Math.random();var s=1===i?o.as2D(1,-1):o,u=ENV.engine.runKernel(function(e){return e.multinomial(s,n,t,r)},{logits2D:s});return 1===i?u.as1D():u}function oneHot_(e,t,r,n){void 0===r&&(r=1),void 0===n&&(n=0);var o=convertToTensor(e,\"indices\",\"oneHot\",\"int32\");if(assert(\"int32\"===o.dtype,\"Indices must be of dtype `int32`\"),t<2)throw new Error(\"Error in oneHot: depth must be >=2, but it is \"+t);return ENV.engine.runKernel(function(e){return e.oneHot(o,t,r,n)},{$indices:o},function(e){return{$indices:function(){return zerosLike(o)}}})}function fromPixels_(e,t){if(void 0===t&&(t=3),t>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");return ENV.engine.fromPixels(e,t)}function toPixels(e,t){return __awaiter(this,void 0,void 0,function(){var r,n,o,a,i,s,u,l,c,p,d,h,f,m,g,v,y,x,T,E;return __generator(this,function(w){switch(w.label){case 0:if(2!==(r=convertToTensor(e,\"img\",\"toPixels\",\"int32\")).rank&&3!==r.rank)throw new Error(\"toPixels only supports rank 2 or 3 tensors, got rank \"+r.rank+\".\");if(n=r.shape.slice(0,2),o=n[0],a=n[1],(i=2===r.rank?1:r.shape[2])>4||2===i)throw new Error(\"toPixels only supports depth of size 1, 3 or 4 but got \"+i);return s=r.min(),u=r.max(),[4,s.data()];case 1:return l=w.sent()[0],[4,u.data()];case 2:if(c=w.sent()[0],s.dispose(),u.dispose(),\"float32\"===r.dtype){if(l<0||c>1)throw new Error(\"Tensor values for a float32 Tensor must be in the range [0 - 1] but got range [\"+l+\" - \"+c+\"].\")}else{if(\"int32\"!==r.dtype)throw new Error(\"Unsupported type for toPixels: \"+r.dtype+\". Please use float32 or int32 tensors.\");if(l<0||c>255)throw new Error(\"Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [\"+l+\" - \"+c+\"].\")}return[4,r.data()];case 3:for(p=w.sent(),d=\"float32\"===r.dtype?255:1,h=new Uint8ClampedArray(a*o*4),f=0;f<o*a;++f)m=void 0,g=void 0,v=void 0,y=void 0,1===i?(m=p[f]*d,g=p[f]*d,v=p[f]*d,y=255):3===i?(m=p[3*f]*d,g=p[3*f+1]*d,v=p[3*f+2]*d,y=255):4===i&&(m=p[4*f]*d,g=p[4*f+1]*d,v=p[4*f+2]*d,y=p[4*f+3]*d),h[(x=4*f)+0]=Math.round(m),h[x+1]=Math.round(g),h[x+2]=Math.round(v),h[x+3]=Math.round(y);return null!=t&&(t.width=a,t.height=o,T=t.getContext(\"2d\"),E=new ImageData(h,a,o),T.putImageData(E,0,0)),r!==e&&r.dispose(),[2,h]}})})}function reshape_(e,t){var r=convertToTensor(e,\"x\",\"reshape\");t=inferFromImplicitShape(t,r.size),assert(r.size===sizeFromShape(t),\"new shape and old shape must have the same number of elements.\");return ENV.engine.runKernel(function(e){return e.reshape(r,t)},{$x:r},function(e){return{$x:function(){return e.reshape(r.shape)}}})}function squeeze_(e,t){var r=convertToTensor(e,\"x\",\"squeeze\");return reshape(r,squeezeShape(r.shape,t).newShape)}function cast_(e,t){var r=convertToTensor(e,\"x\",\"cast\");return ENV.engine.runKernel(function(e){return e.cast(r,t)},{$x:r},function(e){return{$x:function(){return e.clone()}}})}function tile_(e,t){var r=convertToTensor(e,\"x\",\"tile\");assert(r.rank===t.length,\"Error in transpose: rank of input \"+r.rank+\" must match length of reps \"+t+\".\");return ENV.engine.runKernel(function(e){return e.tile(r,t)},{$x:r},function(e){return{$x:function(){var n=zerosLike(r);if(1===r.rank)for(var o=0;o<t[0];++o)n=n.add(e.slice([o*r.shape[0]],[r.shape[0]]));else if(2===r.rank)for(o=0;o<t[0];++o)for(var a=0;a<t[1];++a)n=n.add(e.slice([o*r.shape[0],a*r.shape[1]],[r.shape[0],r.shape[1]]));else if(3===r.rank)for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(var i=0;i<t[2];++i)n=n.add(e.slice([o*r.shape[0],a*r.shape[1],i*r.shape[2]],[r.shape[0],r.shape[1],r.shape[2]]));else{if(4!==r.rank)throw new Error(\"Gradient for tile operation is not implemented for rank-\"+r.rank+\" tensors yet.\");for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(i=0;i<t[2];++i)for(var s=0;s<t[3];++s)n=n.add(e.slice([o*r.shape[0],a*r.shape[1],i*r.shape[2],s*r.shape[3]],[r.shape[0],r.shape[1],r.shape[2],r.shape[3]]))}return n}}})}function pad1d_(e,t,r){return void 0===r&&(r=0),assert(2===t.length,\"Invalid number of paddings. Must be length of 2.\"),pad(e,[t],r)}function pad2d_(e,t,r){return void 0===r&&(r=0),assert(2===t.length&&2===t[0].length&&2===t[1].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,r)}function pad3d_(e,t,r){return void 0===r&&(r=0),assert(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,r)}function pad4d_(e,t,r){return void 0===r&&(r=0),assert(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,r)}function pad_(e,t,r){void 0===r&&(r=0);var n=convertToTensor(e,\"x\",\"pad\");if(0===n.rank)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");var o=t.map(function(e){return e[0]});return ENV.engine.runKernel(function(e){return e.pad(n,t,r)},{$x:n},function(e){return{$x:function(){return e.slice(o,n.shape)}}})}function stack_(e,t){void 0===t&&(t=0);var r=convertToTensorArray(e,\"tensors\",\"stack\");if(assert(r.length>=1,\"Pass at least one tensor to tf.stack\"),1===r.length)return r[0].expandDims(t);var n=r[0].rank,o=r[0].shape,a=r[0].dtype;assert(t<=n,\"Axis must be <= rank of the tensor\"),r.forEach(function(e){assertShapesMatch(o,e.shape,\"All tensors passed to stack must have matching shapes\")}),r.forEach(function(e){assert(a===e.dtype,\"All tensors passed to stack must have matching dtypes\")});var i=r.map(function(e){return e.expandDims(t)});return concat(i,t)}function batchToSpaceND_(e,t,r){var n=convertToTensor(e,\"x\",\"batchToSpaceND\"),o=t.reduce(function(e,t){return e*t});assert(n.rank>=1+t.length,\"input rank is \"+n.rank+\" but should be > than blockShape.length \"+t.length),assert(r.length===t.length,\"crops.length is \"+r.length+\" but should be equal to blockShape.length  \"+t.length),assert(n.shape[0]%o==0,\"input tensor batch is \"+n.shape[0]+\" but is not divisible by the product of the elements of blockShape \"+t.join(\" * \")+\" === \"+o);return ENV.engine.runKernel(function(e){return e.batchToSpaceND(n,t,r)},{$x:n},function(e){return{$x:function(){return e.spaceToBatchND(t,r)}}})}function spaceToBatchND_(e,t,r){var n=convertToTensor(e,\"x\",\"spaceToBatchND\");assert(n.rank>=1+t.length,\"input rank \"+n.rank+\" should be > than [blockShape] \"+t.length),assert(r.length===t.length,\"paddings.shape[0] \"+r.length+\" must be equal to [blockShape] \"+t.length),assert(n.shape.reduce(function(e,n,o){return o>0&&o<=t.length?e&&(n+r[o-1][0]+r[o-1][1])%t[o-1]==0:e},!0),\"input spatial dimensions \"+n.shape.slice(1)+\" with paddings \"+r.toString()+\" must be divisible by blockShapes \"+t.toString());return ENV.engine.runKernel(function(e){return e.spaceToBatchND(n,t,r)},{$x:n},function(e){return{$x:function(){return e.batchToSpaceND(t,r)}}})}function unstack_(e,t){void 0===t&&(t=0);for(var r,n=convertToTensor(e,\"x\",\"unstack\"),o=n.shape[t],a=Array(n.rank-1).fill(0),i=0,s=0;s<n.rank;s++)s!==t&&(a[i]=n.shape[s],i++);r=Array(o).fill(1);var u=Array(n.rank).fill(0),l=n.shape.slice();return r.map(function(e){l[t]=e;var r=n.slice(u,l);return u[t]+=e,r.reshape(a)})}function cumsum_(e,t,r,n){void 0===t&&(t=0),void 0===r&&(r=!1),void 0===n&&(n=!1);var o=convertToTensor(e,\"x\",\"cumsum\"),a=getAxesPermutation([t|=0],o.rank),i=o;null!=a&&(i=o.transpose(a));var s=getInnerMostAxes(1,o.rank)[0],u=ENV.engine.runKernel(function(e){return e.cumsum(i,s,r,n)},{permutedX:i},function(e){return{permutedX:function(){return e.cumsum(t,r,!n)}}});return null!=a&&(u=u.transpose(a)),u}function expandDims_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"expandDims\");assert(t<=r.rank,\"Axis must be <= rank of the tensor\");var n=r.shape.slice();return t<0&&(assert(-(r.rank+1)<=t,\"Axis must be in the interval [\"+-(r.rank+1)+\", \"+r.rank+\"]\"),t=r.rank+t+1),n.splice(t,0,1),reshape(r,n)}function depthToSpace_(e,t,r){void 0===r&&(r=\"NHWC\");var n=convertToTensor(e,\"x\",\"depthToSpace\"),o=\"NHWC\"===r?n.shape[1]:n.shape[2],a=\"NHWC\"===r?n.shape[2]:n.shape[3],i=\"NHWC\"===r?n.shape[3]:n.shape[1];return assert(o*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+o+\" and \"+t+\"  for depthToSpace with input shape\\n      \"+n.shape),assert(a*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+a+\" and \"+t+\" for depthToSpace with input shape\\n          \"+n.shape),assert(i%(t*t)==0,\"Dimension size must be evenly divisible by \"+t*t+\" but is \"+i+\" for depthToSpace with input shape \"+n.shape),ENV.engine.runKernel(function(e){return e.depthToSpace(n,t,r)},{$x:n})}function setdiff1dAsync_(e,t){return __awaiter(this,void 0,void 0,function(){var r,n,o,a,i,s,u,l,c,p;return __generator(this,function(d){switch(d.label){case 0:return r=convertToTensor(e,\"x\",\"setdiff1d\"),n=convertToTensor(t,\"y\",\"setdiff1d\"),assert(r.dtype===n.dtype,\"x and y should have the same dtype, but got x (\"+r.dtype+\") and y (\"+n.dtype+\").\"),assert(1===r.rank,\"x should be 1D tensor, but got x (\"+r.shape+\").\"),assert(1===n.rank,\"y should be 1D tensor, but got y (\"+n.shape+\").\"),[4,r.data()];case 1:return o=d.sent(),[4,n.data()];case 2:for(a=d.sent(),i=new Set(a),s=0,c=0;c<o.length;c++)i.has(o[c])||s++;for(u=new TensorBuffer([s],r.dtype),l=new TensorBuffer([s],\"int32\"),c=0,p=0;c<o.length;c++)i.has(o[c])||(u.values[p]=o[c],l.values[p]=c,p++);return[2,[u.toTensor(),l.toTensor()]]}})})}function buffer(e,t,r){return void 0===t&&(t=\"float32\"),new TensorBuffer(e,t,r)}function print(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}var batchToSpaceND=op({batchToSpaceND_:batchToSpaceND_}),cast=op({cast_:cast_}),clone=op({clone_:clone_}),cumsum=op({cumsum_:cumsum_}),depthToSpace=op({depthToSpace_:depthToSpace_}),expandDims=op({expandDims_:expandDims_}),eye=op({eye_:eye_}),fromPixels=op({fromPixels_:fromPixels_}),multinomial=op({multinomial_:multinomial_}),oneHot=op({oneHot_:oneHot_}),pad=op({pad_:pad_}),pad1d=op({pad1d_:pad1d_}),pad2d=op({pad2d_:pad2d_}),pad3d=op({pad3d_:pad3d_}),pad4d=op({pad4d_:pad4d_}),rand=op({rand_:rand_}),randomNormal=op({randomNormal_:randomNormal_}),randomUniform=op({randomUniform_:randomUniform_}),reshape=op({reshape_:reshape_}),spaceToBatchND=op({spaceToBatchND_:spaceToBatchND_}),squeeze=op({squeeze_:squeeze_}),stack=op({stack_:stack_}),tile=op({tile_:tile_}),truncatedNormal=op({truncatedNormal_:truncatedNormal_}),unstack=op({unstack_:unstack_}),setdiff1dAsync=setdiff1dAsync_;function whereImpl(e,t){for(var r=[],n=0;n<t.length;n++)t[n]&&r.push(n);var o=buffer(e,\"int32\"),a=buffer([r.length,e.length],\"int32\");for(n=0;n<r.length;n++){var i=o.indexToLoc(r[n]),s=n*e.length;a.values.set(i,s)}return a.toTensor()}var CPU_HANDOFF_SIZE_THRESHOLD=10,BEFORE_PAGING_CONSTANT=300,MATMUL_SHARED_DIM_THRESHOLD=1e3,MathBackendWebGL=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ENV.get(\"WEBGL_VERSION\")<1)throw new Error(\"WebGL is not supported on this device\");if(null==e){var r=getWebGLContext(ENV.get(\"WEBGL_VERSION\"));this.gpgpu=new GPGPUContext(r),this.canvas=r.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;ENV.get(\"WEBGL_PAGING_ENABLED\")&&(this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*BEFORE_PAGING_CONSTANT),this.textureManager=new TextureManager(this.gpgpu)}return e.prototype.register=function(e,t,r){if(this.texData.has(e))throw new Error(\"Data buffer is already registered\");this.texData.set(e,{shape:t,dtype:r,values:null,texture:null,complexTensors:null,texShape:null,usage:TextureUsage.RENDER,isPacked:!1})},e.prototype.setDataMover=function(e){this.texData=new DataStorage(e)},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var r=[e.height,e.width],n=[e.height,e.width,t];if(!(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(e instanceof HTMLVideoElement){if(null==this.fromPixels2DContext){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");if(\"complete\"!==document.readyState)throw new Error(\"The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object\");this.fromPixels2DContext=document.createElement(\"canvas\").getContext(\"2d\")}this.fromPixels2DContext.canvas.width=e.width,this.fromPixels2DContext.canvas.height=e.height,this.fromPixels2DContext.drawImage(e,0,0,e.width,e.height),e=this.fromPixels2DContext.canvas}var o=this.makeTensorHandle(r,\"int32\");this.texData.get(o.dataId).usage=TextureUsage.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(o.dataId),e);var a=new FromPixelsProgram(n),i=this.compileAndRun(a,[o]);return this.disposeData(o.dataId),i},e.prototype.makeTensorHandle=function(e,t){var r={};return this.register(r,e,t),{dataId:r,shape:e,dtype:t}},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendWebGL.write(): values can not be null\");var r=this.texData.get(e),n=r.texture,o=r.texShape,a=r.usage,i=r.dtype,s=r.isPacked;if(\"complex64\"===i)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");null!=n&&(this.releaseTexture(e,n,o,a,s),r.texture=null,r.texShape=null),r.usage=TextureUsage.UPLOAD,r.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){var t=this.texData.get(e),r=t.values,n=t.dtype,o=t.complexTensors;if(null!=r)return this.convertAndCacheOnCPU(e);var a,i,s=null!=this.activeTimers;(s&&(a=performance.now()),\"complex64\"===n)?i=mergeRealAndImagArrays(o.real.dataSync(),o.imag.dataSync()):i=this.getValuesFromTexture(e);return s&&(this.downloadWaitMs+=performance.now()-a),this.convertAndCacheOnCPU(e,i)},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i,s,u,l;return __generator(this,function(c){switch(c.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(r=this.texData.get(e),n=r.texture,o=r.values,a=r.texShape,null!=o)return[2,this.convertAndCacheOnCPU(e)];if(this.pendingRead.set(e,[]),!ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&2===ENV.get(\"WEBGL_VERSION\"))throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");return i=this.gpgpu.maybeCreateBufferFromTexture(n,a[0],a[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return c.sent(),s=i instanceof WebGLTexture?this.getValuesFromTexture(e):this.gpgpu.downloadFloat32MatrixFromBuffer(i,a[0],a[1]),u=this.convertAndCacheOnCPU(e,s),l=this.pendingRead.get(e),this.pendingRead.delete(e),l.forEach(function(e){return e(u)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,u]}})})},e.prototype.getValuesFromTexture=function(e){var t=this.texData.get(e),r=t.shape,n=t.dtype,o=t.texture,a=t.texShape;if(ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")){if(this.texData.get(e).isPacked){var i=sizeFromShape(r.slice(0,r.length-2)),s=r.length>1?r[r.length-2]:1,u=r[r.length-1];return this.gpgpu.downloadMatrixFromPackedTexture(o,i,s,u,a[0],a[1])}return this.gpgpu.downloadFloat32MatrixFromOutputTexture(o,a[0],a[1])}var l=this.makeTensorHandle(r,\"float32\");l.size=sizeFromShape(r),this.texData.get(l.dataId).usage=TextureUsage.DOWNLOAD;var c=new EncodeFloatProgram(r);this.compileAndRun(c,[{shape:r,dtype:n,dataId:e}],l,null,!1);var p=this.texData.get(l.dataId),d=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(p.texture,p.texShape[0],p.texShape[1]);return this.disposeData(l.dataId),d},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return t=this.activeTimers,r=[],n=!1,null==this.programTimersStack?(this.programTimersStack=r,n=!0):this.activeTimers.push(r),this.activeTimers=r,e(),o=flatten(this.activeTimers.map(function(e){return e.query})).filter(function(e){return null!=e}),a=flatten(this.activeTimers.map(function(e){return e.name})).filter(function(e){return null!=e}),this.activeTimers=t,n&&(this.programTimersStack=null),[4,Promise.all(o)];case 1:return i=u.sent(),s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:sum(i),getExtraProfileInfo:function(){return i.map(function(e,t){return{name:a[t],ms:e}}).map(function(e){return e.name+\": \"+e.ms}).join(\", \")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,s]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(r){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),r=t.texture,n=t.texShape,o=t.usage,a=t.complexTensors,i=t.isPacked;null!=r&&this.releaseTexture(e,r,n,o,i),null!=a&&(a.real.dispose(),a.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getCPUBackend=function(){return ENV.get(\"WEBGL_CPU_FORWARD\")?(null==this.cpuBackend&&(this.cpuBackend=ENV.findBackend(\"cpu\")),this.cpuBackend):null},e.prototype.shouldExecuteOnCPU=function(e,t){var r=this;return void 0===t&&(t=CPU_HANDOFF_SIZE_THRESHOLD),null!=this.getCPUBackend()&&e.every(function(e){return null==r.texData.get(e.dataId).texture&&e.size<t})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var r=this.makeOutputArray(e.shape,\"complex64\");return this.texData.get(r.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},r},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,r){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.slice(e,t,r);var n=new SliceProgram(r),o=n.getCustomSetupFunc(t);return this.compileAndRun(n,[e],null,o)},e.prototype.stridedSlice=function(e,t,r,n,o,a,i,s,u){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.stridedSlice(e,t,r,n,o,a,i,s,u);var l=getStridedSlicedInfo(e.shape,t,r,n,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);var f=new StridedSliceProgram(c,n,p,d);return this.compileAndRun(f,[e])},e.prototype.reverse=function(e,t){var r=new ReverseProgram(e.shape,t);return this.compileAndRun(r,[e])},e.prototype.concat2Tensors=function(e,t,r){var n=computeOutShape([e.shape,t.shape],r),o=e.as2D(-1,sizeFromShape(e.shape.slice(r))),a=t.as2D(-1,sizeFromShape(t.shape.slice(r))),i=new ConcatProgram(o.shape,a.shape);return this.compileAndRun(i,[o,a]).reshape(n)},e.prototype.concat=function(e,t){if(this.shouldExecuteOnCPU(e))return this.cpuBackend.concat(e,t);if(1===e.length)return e[0];for(var r=e[0],n=1;n<e.length;++n)r=this.concat2Tensors(r,e[n],t);return r},e.prototype.neg=function(e){var t=new UnaryOpProgram(e.shape,NEG);return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,r,n){var o=r?e.shape[2]:e.shape[1],a=n?t.shape[1]:t.shape[2],i=r?e.shape[1]:e.shape[2],s=e.shape[0];if((1===o||1===a)&&i>MATMUL_SHARED_DIM_THRESHOLD){r&&(e=e.transpose([0,2,1])),n&&(t=t.transpose([0,2,1]));var u=1===a?e:e.as3D(s,i,1),l=1===a?2:1,c=1===a?t.as3D(s,1,i):t;return this.multiply(u,c).sum(l,!0)}if(1===s){var p=e.as2D(e.shape[1],e.shape[2]),d=t.as2D(t.shape[1],t.shape[2]),h=new MatMulPackedProgram(p.shape,d.shape,[o,a],r,n),f=this.compileAndRun(h,[p,d],this.makePackedTensor(h.outputShape));return!1===ENV.get(\"WEBGL_LAZILY_UNPACK\")&&(f=this.unpackTensor(f)),f.reshape([1,f.shape[0],f.shape[1]])}return this.compileAndRun(new MatMulProgram(e.shape,t.shape,r,n),[e,t])},e.prototype.multiply=function(e,t){if(\"complex64\"===e.dtype){var r=this.texData.get(e.dataId),n=this.texData.get(t.dataId),o=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.REAL,e.shape,t.shape),a=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.IMAG,e.shape,t.shape),i=[this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag),this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag)],s=this.compileAndRun(o,i),u=this.compileAndRun(a,i),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.multiply(e,t);var c=new BinaryOpProgram(MUL,e.shape,t.shape),p=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],p)},e.prototype.batchNormalization=function(e,t,r,n,o,a){var i=[e,t,r],s=null;null!=a&&(s=a.shape,i.push(a));var u=null;null!=o&&(u=o.shape,i.push(o));var l=null,c=BatchNormProgram;ENV.get(\"WEBGL_PACK_BATCHNORMALIZATION\")&&(l=this.makePackedTensor(e.shape),c=BatchNormPackedProgram);var p=new c(e.shape,t.shape,r.shape,s,u,n);return this.compileAndRun(p,i,l)},e.prototype.localResponseNormalization4D=function(e,t,r,n,o){var a=new LRNProgram(e.shape,t,r,n,o);return this.compileAndRun(a,[e])},e.prototype.LRNGrad=function(e,t,r,n,o,a,i){var s=new LRNGradProgram(t.shape,n,o,a,i);return this.compileAndRun(s,[t,r,e])},e.prototype.tile=function(e,t){var r=new TileProgram(e.shape,t);return this.compileAndRun(r,[e])},e.prototype.pad=function(e,t,r){var n=new PadProgram(e.shape,t,r);return this.compileAndRun(n,[e])},e.prototype.transpose=function(e,t){var r=new TransposeProgram(e.shape,t);return this.compileAndRun(r,[e])},e.prototype.gather=function(e,t,r){var n=new GatherProgram(e.shape,t.size,r);return this.compileAndRun(n,[e,t])},e.prototype.batchToSpaceND=function(e,t,r){assert(e.rank<=4,\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");var n=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,n),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,n),s=getSliceBeginCoords(r,t.length),u=getSliceSize(i,r,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,r){assert(e.rank<=4,\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");var n=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,r);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,n,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,n,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,r){var n=e.shape[0],o=e.shape[1],a=computeOptimalWindowSize(o),i=new ReduceProgram({windowSize:a,inSize:o,batchSize:n},t),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],r);return this.compileAndRun(i,[e],c),1===c.shape[1]?c:this.reduce(c,t,r)},e.prototype.argReduce=function(e,t,r){void 0===r&&(r=null);var n=e.shape[0],o=e.shape[1];null!=r&&(n=r.shape[0],o=r.shape[1]);var a=computeOptimalWindowSize(o),i=new ArgMinMaxProgram({windowSize:a,inSize:o,batchSize:n},t,null==r),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],\"int32\"),p=[e];return null!=r&&p.push(r),this.compileAndRun(i,p,c),1===c.shape[1]?c:this.argReduce(e,t,c)},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o),i=sumOutType(e.dtype);return this.reduce(a,\"sum\",i).reshape(n)},e.prototype.prod=function(e,t){var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o),i=sumOutType(e.dtype);return this.reduce(a,\"prod\",i).reshape(n)},e.prototype.unsortedSegmentSum=function(e,t,r){var n=0,o=getAxesPermutation([n],e.rank),a=e;null!=o&&(a=e.transpose(o),n=getInnerMostAxes(1,e.rank)[0]);var i=computeOutShape$1(a.shape,n,r),s=sizeFromShape([a.shape[n]]),u=a.as2D(-1,s),l=sumOutType(e.dtype),c=this.segOpCompute(u,\"unsortedSegmentSum\",t,l,r).reshape(i);return null!=o&&(c=c.transpose(getUndoAxesPermutation(o))),c},e.prototype.segOpCompute=function(e,t,r,n,o){var a=e.shape[0],i=e.shape[1],s=segOpComputeOptimalWindowSize(i,o),u=new SegmentOpProgram({windowSize:s,inSize:i,batchSize:a,numSegments:o},t),l=u.outputShape,c=l[0],p=l[1],d=this.makeOutputArray([c,p],n);return this.compileAndRun(u,[e,r],d),d.shape[1]===o?d:(r=range(0,o).tile([i/s]),this.segOpCompute(d,t,r,n,o))},e.prototype.argMin=function(e,t){var r=[t];assertAxesAreInnerMostDims(\"argMin\",r,e.rank);var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=sizeFromShape(n[1]),i=e.as2D(-1,a);return this.argReduce(i,\"min\").reshape(o)},e.prototype.argMax=function(e,t){var r=[t];assertAxesAreInnerMostDims(\"argMax\",r,e.rank);var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=sizeFromShape(n[1]),i=e.as2D(-1,a);return this.argReduce(i,\"max\").reshape(o)},e.prototype.cumsum=function(e,t,r,n){if(t!==e.rank-1)throw new Error(\"WebGL cumsum shader expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);var o=new CumSumProgram(e.shape,r,n);return this.compileAndRun(o,[e])},e.prototype.equal=function(e,t){var r=new BinaryOpProgram(EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.notEqual=function(e,t){var r=new BinaryOpProgram(NOT_EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.less=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.less(e,t);var r=new BinaryOpProgram(LESS,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.lessEqual=function(e,t){var r=new BinaryOpProgram(LESS_EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.greater=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.greater(e,t);var r=new BinaryOpProgram(GREATER,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.greaterEqual=function(e,t){var r=new BinaryOpProgram(GREATER_EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.logicalNot=function(e){var t=new UnaryOpProgram(e.shape,LOGICAL_NOT);return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var r=new BinaryOpProgram(LOGICAL_AND,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.logicalOr=function(e,t){var r=new BinaryOpProgram(LOGICAL_OR,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.select=function(e,t,r){var n=new SelectProgram(e.rank,t.shape,t.rank),o=this.makeOutputArray(n.outputShape,upcastType(t.dtype,r.dtype));return this.compileAndRun(n,[e,t,r],o)},e.prototype.where=function(e){warn(\"tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,r){return topkImpl(e.dataSync(),e.shape,e.dtype,t,r)},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"min\",a.dtype).reshape(n)},e.prototype.minimum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.minimum(e,t);var r=new BinaryOpProgram(MIN,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.mod=function(e,t){var r=new BinaryOpProgram(MOD,e.shape,t.shape),n=r.getCustomSetupFunc();return this.compileAndRun(r,[e,t],null,n)},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"max\",a.dtype).reshape(n)},e.prototype.maximum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.maximum(e,t);var r=new BinaryOpProgram(MAX,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"all\",a.dtype).reshape(n)},e.prototype.any=function(e,t){assertAxesAreInnerMostDims(\"any\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"any\",a.dtype).reshape(n)},e.prototype.squaredDifference=function(e,t){var r=new BinaryOpProgram(SQUARED_DIFFERENCE,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.realDivide=function(e,t){var r=new BinaryOpProgram(DIV,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"float32\");return this.compileAndRun(r,[e,t],n)},e.prototype.floorDiv=function(e,t){var r=new BinaryOpProgram(INT_DIV,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"int32\");return this.compileAndRun(r,[e,t],n)},e.prototype.add=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,ADD);var r=new BinaryOpProgram(ADD,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(r,[e,t],n)},e.prototype.complexSeparableBinaryOp=function(e,t,r){var n=this,o=this.texData.get(e.dataId),a=this.texData.get(t.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map(function(o){var a=o[0],i=o[1],s=new BinaryOpProgram(r,e.shape,t.shape),u=n.makeOutputArray(s.outputShape,upcastType(a.dtype,i.dtype)),l=n.makeComplexComponentTensorHandle(e,a),c=n.makeComplexComponentTensorHandle(t,i);return n.compileAndRun(s,[l,c],u)}),s=i[0],u=i[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],r=1;r<e.length;r++)t=this.add(t,e[r]);return t},e.prototype.subtract=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,SUB);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.subtract(e,t);var r=new BinaryOpProgram(SUB,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(r,[e,t],n)},e.prototype.pow=function(e,t){var r=new BinaryOpProgram(POW,e.shape,t.shape),n=r.getCustomSetupFunc(),o=this.makeOutputArray(r.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(r,[e,t],o,n)},e.prototype.ceil=function(e){var t=new UnaryOpProgram(e.shape,CEIL);return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new UnaryOpProgram(e.shape,FLOOR);return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new UnaryOpProgram(e.shape,SIGN);return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new UnaryOpProgram(e.shape,ROUND);return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new UnaryOpProgram(e.shape,EXP);return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new UnaryOpProgram(e.shape,EXPM1);return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new UnaryOpProgram(e.shape,LOG),r=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,r)},e.prototype.log1p=function(e){var t=new UnaryOpProgram(e.shape,LOG1P);return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new UnaryOpProgram(e.shape,SQRT);return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new UnaryOpProgram(e.shape,RSQRT);return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new UnaryOpProgram(e.shape,SQUARE);return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new UnaryOpProgram(e.shape,RECIPROCAL);return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new UnaryOpProgram(e.shape,RELU);return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new UnaryOpProgram(e.shape,ELU);return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var r=new BinaryOpProgram(ELU_DER,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.selu=function(e){var t=new UnaryOpProgram(e.shape,SELU);return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new UnaryOpProgram(e.shape,TO_INT),r=this.makeOutputArray(t.outputShape,\"int32\");return this.compileAndRun(t,[e],r)},e.prototype.clip=function(e,t,r){var n=new ClipProgram(e.shape,t,r);return this.compileAndRun(n,[e])},e.prototype.abs=function(e){var t=new UnaryOpProgram(e.shape,ABS);return this.compileAndRun(t,[e])},e.prototype.complexAbs=function(e){var t=this.texData.get(e.dataId),r=new ComplexAbsProgram(e.shape),n=[this.makeComplexComponentTensorHandle(e,t.complexTensors.real),this.makeComplexComponentTensorHandle(e,t.complexTensors.imag)];return this.compileAndRun(r,n)},e.prototype.sigmoid=function(e){var t=new UnaryOpProgram(e.shape,SIGMOID);return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new UnaryOpProgram(e.shape,SOFTPLUS);return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new UnaryOpProgram(e.shape,SIN);return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new UnaryOpProgram(e.shape,COS);return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new UnaryOpProgram(e.shape,TAN);return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new UnaryOpProgram(e.shape,ASIN);return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new UnaryOpProgram(e.shape,ACOS);return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new UnaryOpProgram(e.shape,ATAN);return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var r=new BinaryOpProgram(ATAN2,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.sinh=function(e){var t=new UnaryOpProgram(e.shape,SINH);return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new UnaryOpProgram(e.shape,COSH);return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new UnaryOpProgram(e.shape,TANH);return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new UnaryOpProgram(e.shape,ASINH);return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new UnaryOpProgram(e.shape,ACOSH),r=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,r)},e.prototype.atanh=function(e){var t=new UnaryOpProgram(e.shape,ATANH),r=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,r)},e.prototype.erf=function(e){var t=new UnaryOpProgram(e.shape,ERF);return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var r=new UnaryOpProgram(e.shape,STEP(t));return this.compileAndRun(r,[e])},e.prototype.conv2dWithIm2Row=function(e,t,r){var n=r.filterWidth,o=r.filterHeight,a=r.inChannels,i=r.outWidth,s=r.outHeight,u=n*o*a,l=s*i,c=[u,l],p=e.squeeze([0]),d=t.reshape([u,-1]),h=new Im2ColProgram(c,p.shape,r),f=this.compileAndRun(h,[p],this.makePackedTensor(c)),m=new MatMulPackedProgram(f.shape,d.shape,[l,r.outChannels],!0,!1),g=this.compileAndRun(m,[f,d],this.makePackedTensor(m.outputShape));return!1===ENV.get(\"WEBGL_LAZILY_UNPACK\")&&(g=this.unpackTensor(g)),g.reshape([1,s,i,r.outChannels])},e.prototype.conv2d=function(e,t,r){if(ENV.get(\"WEBGL_CONV_IM2COL\")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,r);var n=new Conv2DProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.conv2dDerInput=function(e,t,r){var n=new Conv2DDerInputProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.conv2dDerFilter=function(e,t,r){var n=new Conv2DDerFilterProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.depthwiseConv2D=function(e,t,r){var n=new DepthwiseConv2DProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,r){var n=new DepthwiseConv2DDerInputProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,r){var n=new DepthwiseConv2DDerFilterProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.maxPool=function(e,t){var r=new Pool2DProgram(t,\"max\",!1),n=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[e],n)},e.prototype.avgPool=function(e,t){var r=new Pool2DProgram(t,\"avg\",!1),n=this.makeOutputArray(r.outputShape,\"float32\");return this.compileAndRun(r,[e],n)},e.prototype.maxPoolBackprop=function(e,t,r,n){var o=new Pool2DProgram(n,\"max\",!0),a=this.compileAndRun(o,[t]),i=new MaxPool2DBackpropProgram(n),s=this.makeOutputArray(i.outputShape,t.dtype),u=this.compileAndRun(i,[e,a],s);return a.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,r){var n=new AvgPool2DBackpropProgram(r),o=this.makeOutputArray(n.outputShape,t.dtype);return this.compileAndRun(n,[e],o)},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return this.texData.get(e.dataId).isPacked&&!isReshapeFree(e.shape,t)?this.packedReshape(e,t):reshapeTensor(e,t)},e.prototype.resizeBilinear=function(e,t,r,n){var o=new ResizeBilinearProgram(e.shape,t,r,n);return this.compileAndRun(o,[e])},e.prototype.resizeBilinearBackprop=function(e,t,r){var n=new ResizeBilinearBackpropProgram(e,t,r);return this.compileAndRun(n,[e])},e.prototype.resizeNearestNeighbor=function(e,t,r,n){var o=new ResizeNearestNeighborProgram(e.shape,t,r,n);return this.compileAndRun(o,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,r){var n=new ResizeNearestNeigborBackpropProgram(e,t,r);return this.compileAndRun(n,[e])},e.prototype.multinomial=function(e,t,r,n){var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=new MultinomialProgram(a,i,r),u=this.makeOutputArray(s.outputShape,\"int32\"),l=s.getCustomSetupFunc(n);return this.compileAndRun(s,[o],u,l)},e.prototype.oneHot=function(e,t,r,n){var o=new OneHotProgram(e.size,t,r,n);return this.compileAndRun(o,[e])},e.prototype.nonMaxSuppression=function(e,t,r,n,o){return warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),r,n,o)},e.prototype.cropAndResize=function(e,t,r,n,o,a){var i=new CropAndResizeProgram(e.shape,t.shape,n,o,a);return this.compileAndRun(i,[e,t,r])},e.prototype.depthToSpace=function(e,t,r){assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);var n=e.shape[0],o=(\"NHWC\"===r?e.shape[1]:e.shape[2])*t,a=(\"NHWC\"===r?e.shape[2]:e.shape[3])*t,i=(\"NHWC\"===r?e.shape[3]:e.shape[1])/(t*t),s=new DepthToSpaceProgram(\"NHWC\"===r?[n,o,a,i]:[n,i,o,a],t,r);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,r){return split(e,t,r)},e.prototype.scatterND=function(e,t,r){var n=calculateShapes(t,e,r),o=n.sliceRank,a=n.numUpdates,i=n.sliceSize,s=n.strides,u=n.outputSize,l=[u/i,i],c=e.reshape([a,o]),p=t.reshape([a,i]);if(0===u)return reshapeTensor(tensor([]),r);var d=scalar(0),h=new ScatterProgram(a,o,c.rank,p.rank,s,l);return this.compileAndRun(h,[p,c,d]).reshape(r)},e.prototype.sparseToDense=function(e,t,r,n){var o=calculateShapes(t,e,r),a=o.sliceRank,i=o.numUpdates,s=o.strides,u=o.outputSize,l=new ScatterProgram(i,a,e.rank,t.rank,s,[u,1],!1);return this.compileAndRun(l,[t,e,n]).reshape(r)},e.prototype.fft=function(e){return this.fftImpl(e,!1)},e.prototype.ifft=function(e){return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var r=this.texData.get(e.dataId),n=new FFTProgram(COMPLEX_FFT.REAL,e.shape,t),o=new FFTProgram(COMPLEX_FFT.IMAG,e.shape,t),a=[this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag)],i=this.compileAndRun(n,a),s=this.compileAndRun(o,a),u=this.complex(i,s).as2D(e.shape[0],e.shape[1]);return i.dispose(),s.dispose(),u},e.prototype.gatherND=function(e,t){var r=t.shape,n=r[r.length-1],o=prepareAndValidate(e,t),a=o[0],i=o[1],s=o[2],u=o[3],l=t.reshape([i,n]),c=e.reshape([e.size/s,s]),p=new GatherNDProgram(n,u,[i,s]);return this.compileAndRun(p,[c,l]).reshape(a)},e.prototype.makeOutputArray=function(e,t){return Tensor.make(e,{},t)},e.prototype.makePackedTensor=function(e){var t=Tensor.make(e,{});return this.texData.get(t.dataId).isPacked=!0,t},e.prototype.unpackTensor=function(e){var t=new UnpackProgram(e.shape);return this.compileAndRun(t,[e])},e.prototype.getBatchDim=function(e,t){return void 0===t&&(t=2),sizeFromShape(e.slice(0,e.length-t))},e.prototype.getRowsCols=function(e){if(0===e.length)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[e.length>1?e[e.length-2]:1,e[e.length-1]]},e.prototype.packedReshape=function(e,t){var r=e.reshape([this.getBatchDim(e.shape)].concat(this.getRowsCols(e.shape))),n=[this.getBatchDim(t)].concat(this.getRowsCols(t)),o=new ReshapePackedProgram(n,r.shape);return this.compileAndRun(o,[r],this.makePackedTensor(n)).reshape(t)},e.prototype.compileAndRun=function(e,t,r,n,o){var a=this;if(void 0===o&&(o=!0),null==r&&(r=this.makeOutputArray(e.outputShape,t[0].dtype)),0===r.size)return this.texData.get(r.dataId).values=getTypedArrayFromDType(r.dtype,0),r;var i=t.map(function(t){if(\"complex64\"===t.dtype)throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");var r=a.texData.get(t.dataId);if(null==r.texture&&(r.isPacked||!e.usesPackedTextures)&&sizeFromShape(t.shape)<=ENV.get(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:a.readSync(t.dataId)};if(r.isPacked!==!!e.usesPackedTextures){var n=void 0,o=void 0;r.isPacked?(n=new UnpackProgram(t.shape),o=a.compileAndRun(n,[t])):(n=new PackProgram(t.shape),o=a.compileAndRun(n,[t],a.makePackedTensor(t.shape))),r=a.texData.get(o.dataId),t=o}return a.uploadToGPU(t.dataId),{shape:t.shape,texData:r,isUniform:!1}});this.uploadToGPU(r.dataId);var s,u={shape:r.shape,texData:this.texData.get(r.dataId),isUniform:!1},l=makeShaderKey(e,i,u),c=this.getAndSaveBinary(l,function(){return compileProgram(a.gpgpu,e,i,u)}),p=null!=this.activeTimers;if(p&&(s=this.startTimer()),runProgram(c,i,u,n),ENV.get(\"WEBGL_PAGING_ENABLED\")&&o&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var d=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;d>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),f=this.texData.get(h),m=f.shape,g=f.dtype;d-=this.computeBytes(m,g),this.read(h)}return p&&(s=this.endTimer(s),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(s)})),r},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return tidy(function(){return e.abs(scalar(1e-8)).get()>0?32:16})},e.prototype.uploadToGPU=function(e){var t=this.texData.get(e),r=t.shape,n=t.values,o=t.texture,a=t.dtype,i=t.usage,s=t.isPacked;if(null==o){var u,l=null!=this.activeTimers;l&&(u=performance.now());var c=getTextureShapeFromLogicalShape(r,s);t.texShape=c;var p=this.acquireTexture(e,c,i,s);if(t.texture=p,null!=n){if(s){var d=sizeFromShape(r.slice(0,r.length-2)),h=r.length>1?r[r.length-2]:1,f=r[r.length-1];this.gpgpu.uploadMatrixToPackedTexture(p,d,h,f,typedArrayToFloat32(n,a))}else this.gpgpu.uploadMatrixToTexture(p,c[0],c[1],typedArrayToFloat32(n,a));t.values=null,l&&(this.uploadWaitMs+=performance.now()-u)}}else{ENV.get(\"WEBGL_PAGING_ENABLED\")&&this.lruDataGPU.indexOf(e)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),this.lruDataGPU.push(e))}},e.prototype.convertAndCacheOnCPU=function(e,t){var r=this.delayedStorage,n=this.texData.get(e),o=n.texture,a=n.texShape,i=n.dtype,s=n.usage,u=n.isPacked;return r&&null!=o&&(this.releaseTexture(e,o,a,s,u),n.texture=null,n.texShape=null),n.usage=TextureUsage.UPLOAD,null!=t&&(n.values=float32ToTypedArray(t,i)),n.values},e.prototype.releaseTexture=function(e,t,r,n,o){var a=this.texData.get(e),i=a.shape,s=a.dtype;if(ENV.get(\"WEBGL_PAGING_ENABLED\")){var u=this.lruDataGPU.indexOf(e);u>=0&&this.lruDataGPU.splice(u,1)}this.numBytesInGPU-=this.computeBytes(i,s),this.textureManager.releaseTexture(t,r,n,o)},e.prototype.acquireTexture=function(e,t,r,n){var o=this.texData.get(e),a=o.shape,i=o.dtype;return ENV.get(\"WEBGL_PAGING_ENABLED\")&&this.lruDataGPU.push(e),this.numBytesInGPU+=this.computeBytes(a,i),this.textureManager.acquireTexture(t,r,n)},e.prototype.computeBytes=function(e,t){return sizeFromShape(e)*bytesPerElement(t)},e}();function float32ToTypedArray(e,t){if(\"float32\"===t||\"complex64\"===t)return e;if(\"int32\"===t||\"bool\"===t){for(var r=\"int32\"===t?new Int32Array(e.length):new Uint8Array(e.length),n=0;n<r.length;++n)r[n]=Math.round(e[n]);return r}throw new Error(\"Unknown dtype \"+t)}function typedArrayToFloat32(e,t){return e instanceof Float32Array?e:new Float32Array(e)}function neg_(e){var t=convertToTensor(e,\"x\",\"neg\");return ENV.engine.runKernel(function(e){return e.neg(t)},{$x:t},function(e){return{$x:function(){return e.neg()}}})}function ceil_(e){var t=convertToTensor(e,\"x\",\"ceil\");return ENV.engine.runKernel(function(e){return e.ceil(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function floor_(e){var t=convertToTensor(e,\"x\",\"floor\");return ENV.engine.runKernel(function(e){return e.floor(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function sign_(e){var t=convertToTensor(e,\"x\",\"sign\");return ENV.engine.runKernel(function(e){return e.sign(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function round_(e){var t=convertToTensor(e,\"x\",\"round\");return ENV.engine.runKernel(function(e){return e.round(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function exp_(e){var t=convertToTensor(e,\"x\",\"exp\");return ENV.engine.runKernel(function(e,r){return r(e.exp(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return e.mulStrict(r)}}})}function expm1_(e){var t=convertToTensor(e,\"x\",\"expm1\");return ENV.engine.runKernel(function(e){return e.expm1(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.exp())}}})}function log_(e){var t=convertToTensor(e,\"x\",\"log\");return ENV.engine.runKernel(function(e){return e.log(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat())}}})}function log1p_(e){var t=convertToTensor(e,\"x\",\"log1p\");return ENV.engine.runKernel(function(e){return e.log1p(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.add(scalar(1)))}}})}function sqrt_(e){var t=convertToTensor(e,\"x\",\"sqrt\");return ENV.engine.runKernel(function(e){return e.sqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().sqrt().mul(scalar(2)))}}})}function rsqrt_(e){var t=convertToTensor(e,\"x\",\"rsqrt\");return ENV.engine.runKernel(function(e){return e.rsqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.pow(scalar(1.5)).mul(scalar(2))).neg()}}})}function square_(e){var t=convertToTensor(e,\"x\",\"square\");return ENV.engine.runKernel(function(e){return e.square(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().mul(scalar(2)))}}})}function reciprocal_(e){var t=convertToTensor(e,\"x\",\"reciprocal\");return ENV.engine.runKernel(function(e){return e.reciprocal(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.square().neg())}}})}function abs_(e){var t=convertToTensor(e,\"x\",\"abs\");if(\"complex64\"===t.dtype)return ENV.engine.runKernel(function(e){return e.complexAbs(t)},{$x:t});return ENV.engine.runKernel(function(e){return e.abs(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().step(-1))}}})}function clipByValue_(e,t,r){var n=convertToTensor(e,\"x\",\"clipByValue\");assert(t<=r,\"Error in clip: min (\"+t+\") must be less than or equal to max (\"+r+\").\");return ENV.engine.runKernel(function(e){return e.clip(n,t,r)},{$x:n},function(e){return{$x:function(){return e.where(n.greaterEqual(scalar(t)).logicalAnd(n.lessEqual(scalar(r))),zerosLike(e))}}})}function sigmoid_(e){var t=convertToTensor(e,\"x\",\"sigmoid\");return ENV.engine.runKernel(function(e,r){return r(e.sigmoid(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return e.mulStrict(r.mul(scalar(1).sub(r)))}}})}function logSigmoid_(e){var t=convertToTensor(e,\"x\",\"logSigmoid\");return ENV.engine.runKernel(function(e){return e.softplus(t.neg()).neg()},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.neg().sigmoid())}}})}function softplus_(e){var t=convertToTensor(e,\"x\",\"softplus\");return ENV.engine.runKernel(function(e){return e.softplus(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.sigmoid())}}})}function sin_(e){var t=convertToTensor(e,\"x\",\"sin\");return ENV.engine.runKernel(function(e){return e.sin(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cos().mulStrict(e)}}})}function cos_(e){var t=convertToTensor(e,\"x\",\"cos\");return ENV.engine.runKernel(function(e){return e.cos(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sin().neg().mulStrict(e)}}})}function tan_(e){var t=convertToTensor(e,\"x\",\"tan\");return ENV.engine.runKernel(function(e){return e.tan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.cos().square())}}})}function asin_(e){var t=convertToTensor(e,\"x\",\"asin\");return ENV.engine.runKernel(function(e){return e.asin(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt())}}})}function acos_(e){var t=convertToTensor(e,\"x\",\"acos\");return ENV.engine.runKernel(function(e){return e.acos(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt()).neg()}}})}function atan_(e){var t=convertToTensor(e,\"x\",\"atan\");return ENV.engine.runKernel(function(e){return e.atan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()))}}})}function sinh_(e){var t=convertToTensor(e,\"x\",\"sinh\");return ENV.engine.runKernel(function(e){return e.sinh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cosh().mulStrict(e)}}})}function cosh_(e){var t=convertToTensor(e,\"x\",\"cosh\");return ENV.engine.runKernel(function(e){return e.cosh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sinh().mulStrict(e)}}})}function tanh_(e){var t=convertToTensor(e,\"x\",\"tanh\");return ENV.engine.runKernel(function(e,r){return r(e.tanh(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return scalar(1).sub(r.square()).mulStrict(e)}}})}function asinh_(e){var t=convertToTensor(e,\"x\",\"asinh\");return ENV.engine.runKernel(function(e){return e.asinh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()).sqrt())}}})}function acosh_(e){var t=convertToTensor(e,\"x\",\"acosh\");return ENV.engine.runKernel(function(e){return e.acosh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().square().sub(scalar(1)).sqrt())}}})}function atanh_(e){var t=convertToTensor(e,\"x\",\"atanh\");return ENV.engine.runKernel(function(e){return e.atanh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()))}}})}function erf_(e){var t=convertToTensor(e,\"x\",\"erf\");assert(\"int32\"===t.dtype||\"float32\"===t.dtype,\"Input dtype must be `int32` or `float32`.\"),\"int32\"===t.dtype&&(t=t.toFloat());return ENV.engine.runKernel(function(e){return e.erf(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(scalar(2/Math.sqrt(Math.PI)).mul(t.square().neg().exp()))}}})}function step_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"step\");return ENV.engine.runKernel(function(e){return e.step(r,t)},{$x:r},function(e){return{$x:function(){return zerosLike(e)}}})}ENV.get(\"IS_BROWSER\")&&ENV.registerBackend(\"webgl\",function(){return new MathBackendWebGL},2,setTensorTracker);var abs=op({abs_:abs_}),acos=op({acos_:acos_}),acosh=op({acosh_:acosh_}),asin=op({asin_:asin_}),asinh=op({asinh_:asinh_}),atan=op({atan_:atan_}),atanh=op({atanh_:atanh_}),ceil=op({ceil_:ceil_}),clipByValue=op({clipByValue_:clipByValue_}),cos=op({cos_:cos_}),cosh=op({cosh_:cosh_}),erf=op({erf_:erf_}),exp=op({exp_:exp_}),expm1=op({expm1_:expm1_}),floor=op({floor_:floor_}),log$1=op({log_:log_}),log1p=op({log1p_:log1p_}),logSigmoid=op({logSigmoid_:logSigmoid_}),neg=op({neg_:neg_}),reciprocal=op({reciprocal_:reciprocal_}),round=op({round_:round_}),rsqrt=op({rsqrt_:rsqrt_}),sigmoid=op({sigmoid_:sigmoid_}),sign=op({sign_:sign_}),sin=op({sin_:sin_}),sinh=op({sinh_:sinh_}),softplus=op({softplus_:softplus_}),sqrt=op({sqrt_:sqrt_}),square=op({square_:square_}),step=op({step_:step_}),tan=op({tan_:tan_}),tanh$1=op({tanh_:tanh_});function batchNormalization2d_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(r,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(2===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(2===l.rank||1===l.rank,\"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank \"+l.rank+\".\"),assert(2===c.rank||1===c.rank,\"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(2===i.rank||1===i.rank,\"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(2===s.rank||1===s.rank,\"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,n,i,s)}function batchNormalization3d_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(r,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(3===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(3===l.rank||1===l.rank,\"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank \"+l.rank+\".\"),assert(3===c.rank||1===c.rank,\"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(3===i.rank||1===i.rank,\"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(3===s.rank||1===s.rank,\"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,n,i,s)}function batchNormalization4d_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(r,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(4===u.rank,\"Error in batchNormalization4D: x must be rank 4 but got rank \"+u.rank+\".\"),assert(4===l.rank||1===l.rank,\"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank \"+l.rank+\".\"),assert(4===c.rank||1===c.rank,\"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(4===i.rank||1===i.rank,\"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(4===s.rank||1===s.rank,\"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,n,i,s)}function batchNormalization_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u,l=convertToTensor(e,\"x\",\"batchNormalization\"),c=convertToTensor(t,\"mean\",\"batchNormalization\"),p=convertToTensor(r,\"variance\",\"batchNormalization\");null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(c.rank===p.rank,\"Batch normalization gradient requires mean and variance to have equal ranks.\"),assert(null==s||c.rank===s.rank,\"Batch normalization gradient requires mean and offset to have equal ranks.\"),assert(null==i||c.rank===i.rank,\"Batch normalization gradient requires mean and scale to have equal ranks.\"),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l;return ENV.engine.runKernel(function(e){return e.batchNormalization(u,batchnormReshape4D(c),batchnormReshape4D(p),n,batchnormReshape4D(i),batchnormReshape4D(s))},{$x:l,$mean:c,$variance:p,$scale:i,$offset:s},function(e){var t=null==i?scalar(1):i,r=getReductionAxes(c.shape,u.shape),o=[];if(1===c.rank){for(var a=0;a<u.shape.length-1;++a)o.push(u.shape[a]);o.push(1)}var s=l.sub(c),d=e.mul(t),h=rsqrt(p.add(scalar(n))),f=h.mul(h).mul(h).mul(scalar(-.5));return{$x:function(){return 1===c.rank?e.mul(tile(h.as4D(1,1,1,c.shape[0]),o)).mul(t).reshape(l.shape):e.mul(h).mul(t).reshape(l.shape)},$mean:function(){var e=h.mul(scalar(-1)).mul(d);return 1===c.rank&&(e=e.sum(r)),e.reshape(c.shape)},$variance:function(){var e=f.mul(s).mul(d);return 1===c.rank&&(e=e.sum(r)),e.reshape(c.shape)},$scale:function(){var t=s.mul(h),n=e.mul(t);return 1===c.rank&&(n=n.sum(r)),n.reshape(c.shape)},$offset:function(){var t=e;return 1===c.rank&&(t=t.sum(r)),t.reshape(c.shape)}}}).reshape(l.shape)}function batchnormReshape4D(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}var batchNormalization2d=op({batchNormalization2d_:batchNormalization2d_}),batchNormalization3d=op({batchNormalization3d_:batchNormalization3d_}),batchNormalization4d=op({batchNormalization4d_:batchNormalization4d_}),batchNormalization=op({batchNormalization_:batchNormalization_});function computePool2DInfo(e,t,r,n,o,a,i){void 0===i&&(i=\"channelsLast\");var s,u=parseTupleParam(t),l=u[0],c=u[1];if(\"channelsLast\"===i)s=[l,c,e[3],e[3]];else{if(\"channelsFirst\"!==i)throw new Error(\"Unknown dataFormat \"+i);s=[l,c,e[1],e[1]]}return computeConv2DInfo(e,s,r,n,o,a,!1,i)}function computeConv2DInfo(e,t,r,n,o,a,i,s){void 0===i&&(i=!1),void 0===s&&(s=\"channelsLast\");var u=[-1,-1,-1,-1],l=u[0],c=u[1],p=u[2],d=u[3];if(\"channelsLast\"===s)l=e[0],c=e[1],p=e[2],d=e[3];else{if(\"channelsFirst\"!==s)throw new Error(\"Unknown dataFormat \"+s);l=e[0],d=e[1],c=e[2],p=e[3]}var h,f=t[0],m=t[1],g=t[3],v=parseTupleParam(r),y=v[0],x=v[1],T=parseTupleParam(n),E=T[0],w=T[1],S=getEffectiveFilterSize(f,E),b=getEffectiveFilterSize(m,w),C=getPadAndOutInfo(o,c,p,y,x,S,b,a),_=C.padInfo,A=C.outHeight,N=C.outWidth,R=i?g*d:g;return\"channelsFirst\"===s?h=[l,R,A,N]:\"channelsLast\"===s&&(h=[l,A,N,R]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:p,inChannels:d,outHeight:A,outWidth:N,outChannels:R,padInfo:_,strideHeight:y,strideWidth:x,filterHeight:f,filterWidth:m,effectiveFilterHeight:S,effectiveFilterWidth:b,dilationHeight:E,dilationWidth:w,inShape:e,outShape:h,filterShape:t}}function computeOutputShape3D(e,t,r,n,o,a){null==o&&(o=computeDefaultPad(e,t,n));var i=e[0],s=e[1],u=conditionalRound((i-t+2*o)/n+1,a);assert(isInt(u),\"The output # of rows (\"+u+\") must be an integer. Change the stride and/or zero pad parameters\");var l=conditionalRound((s-t+2*o)/n+1,a);return assert(isInt(l),\"The output # of columns (\"+l+\") must be an integer. Change the stride and/or zero pad parameters\"),[u,l,r]}function computeDefaultPad(e,t,r,n){void 0===n&&(n=1);var o=getEffectiveFilterSize(t,n);return Math.floor((e[0]*(r-1)-r+o)/2)}function parseTupleParam(e){return\"number\"==typeof e?[e,e]:e}function getEffectiveFilterSize(e,t){return t<=1?e:e+(e-1)*(t-1)}function getPadAndOutInfo(e,t,r,n,o,a,i,s){var u,l,c;if(\"number\"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?\"VALID\":\"NUMBER\"};var p=computeOutputShape3D([t,r,1],a,1,n,e,s);l=p[0],c=p[1]}else if(\"same\"===e){var d=((l=Math.ceil(t/n))-1)*n+a-t,h=((c=Math.ceil(r/o))-1)*o+i-r,f=Math.floor(d/2),m=d-f,g=Math.floor(h/2);u={top:f,bottom:m,left:g,right:h-g,type:\"SAME\"}}else{if(\"valid\"!==e)throw Error(\"Unknown padding parameter: \"+e);u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},l=Math.ceil((t-a+1)/n),c=Math.ceil((r-i+1)/o)}return{padInfo:u,outHeight:l,outWidth:c}}function conditionalRound(e,t){if(!t)return e;switch(t){case\"round\":return Math.round(e);case\"ceil\":return Math.ceil(e);case\"floor\":return Math.floor(e);default:throw new Error(\"Unknown roundingMode \"+t)}}function tupleValuesAreOne(e){var t=parseTupleParam(e),r=t[0],n=t[1];return 1===r&&1===n}function eitherStridesOrDilationsAreOne(e,t){return tupleValuesAreOne(e)||tupleValuesAreOne(t)}function matMul_(e,t,r,n){void 0===r&&(r=!1),void 0===n&&(n=!1);var o=convertToTensor(e,\"a\",\"matMul\"),a=convertToTensor(t,\"b\",\"matMul\"),i=r?o.shape[o.rank-2]:o.shape[o.rank-1],s=n?a.shape[a.rank-1]:a.shape[a.rank-2],u=r?o.shape[o.rank-1]:o.shape[o.rank-2],l=n?a.shape[a.rank-2]:a.shape[a.rank-1],c=o.shape.slice(0,-2),p=a.shape.slice(0,-2),d=sizeFromShape(c),h=sizeFromShape(p);assert(o.rank>=2&&a.rank>=2&&o.rank===a.rank,\"Error in matMul: inputs must have the same rank of at least 2, got ranks \"+o.rank+\" and \"+a.rank+\".\"),assert(arraysEqual(c,p),\"Error in matMul: outer dimensions (\"+c+\") and (\"+p+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" must match.\"),assert(i===s,\"Error in matMul: inner shapes (\"+i+\") and (\"+s+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" and transposeA=\"+r+\" and transposeB=\"+n+\" must match.\");var f=o.shape.slice(0,-2).concat([u,l]),m=r?o.as3D(d,i,u):o.as3D(d,u,i),g=n?a.as3D(h,l,s):a.as3D(h,s,l);return ENV.engine.runKernel(function(e){return e.batchMatMul(m,g,r,n)},{$a:m,$b:g},function(e){return r||n?!r&&n?{$a:function(){return e.matMul(g.toFloat(),!1,!1)},$b:function(){return e.matMul(m.toFloat(),!0,!1)}}:r&&!n?{$a:function(){return g.toFloat().matMul(e,!1,!0)},$b:function(){return m.toFloat().matMul(e,!1,!1)}}:{$a:function(){return g.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(m.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(g.toFloat(),!1,!0)},$b:function(){return m.toFloat().matMul(e,!0,!1)}}}).reshape(f)}function outerProduct_(e,t){var r=convertToTensor(e,\"v1\",\"outerProduct\"),n=convertToTensor(t,\"v2\",\"outerProduct\");return assert(1===r.rank&&1===n.rank,\"Error in outerProduct: inputs must be rank 1, but got ranks \"+r.rank+\" and \"+n.rank+\".\"),r.as2D(-1,1).matMul(n.as2D(1,-1))}function dot_(e,t){var r=convertToTensor(e,\"t1\",\"dot\"),n=convertToTensor(t,\"t2\",\"dot\");assert(!(1!==r.rank&&2!==r.rank||1!==n.rank&&2!==n.rank),\"Error in dot: inputs must all be rank 1 or 2, but got ranks \"+r.rank+\" and \"+n.rank+\".\");var o=1===r.rank?r.size:r.shape[1],a=1===n.rank?n.size:n.shape[0];return assert(o===a,\"Error in dot: inner dimensions of inputs must match, but got \"+o+\" and \"+a+\".\"),1===r.rank&&1===n.rank?r.as2D(1,-1).matMul(n.as2D(-1,1)).asScalar():1===r.rank&&2===n.rank?r.as2D(1,-1).matMul(n.as2D(n.shape[0],n.shape[1])).as1D():2===r.rank&&1===n.rank?r.matMul(n.as2D(-1,1)).as1D():r.matMul(n.as2D(n.shape[0],n.shape[1]))}var matMul=op({matMul_:matMul_}),dot=op({dot_:dot_}),outerProduct=op({outerProduct_:outerProduct_});function conv1d_(e,t,r,n,o,a,i){void 0===o&&(o=\"NWC\"),void 0===a&&(a=1);var s=convertToTensor(e,\"x\",\"conv1d\"),u=convertToTensor(t,\"filter\",\"conv1d\"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),assert(3===l.rank,\"Error in conv1d: input must be rank 3, but got rank \"+l.rank+\".\"),assert(3===u.rank,\"Error in conv1d: filter must be rank 3, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(n),\"Error in conv1d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+n+\".\"),assert(l.shape[2]===u.shape[1],\"Error in conv1d: depth of input (\"+l.shape[2]+\") must match input depth for filter \"+u.shape[1]+\".\"),assert(eitherStridesOrDilationsAreOne(r,a),\"Error in conv1D: Either stride or dilation must be 1. Got stride \"+r+\" and dilation '\"+a+\"'\"),assert(\"NWC\"===o,\"Error in conv1d: got dataFormat of \"+o+\" but only NWC is currently supported.\");var p=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),d=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=conv2d(d,p,[1,r],n,\"NHWC\",[1,a],i);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}function conv2d_(e,t,r,n,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"conv2d\"),u=convertToTensor(t,\"filter\",\"conv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in conv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in conv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(n),\"Error in conv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+n+\".\"),assert(l.shape[3]===u.shape[2],\"Error in conv2d: depth of input (\"+l.shape[3]+\") must match input depth for filter \"+u.shape[2]+\".\"),assert(eitherStridesOrDilationsAreOne(r,a),\"Error in conv2D: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+a+\"'\"),assert(\"NHWC\"===o,\"Error in conv2d: got dataFormat of \"+o+\" but only NHWC is currently supported.\");var p,d=computeConv2DInfo(l.shape,u.shape,r,a,n,i);if(1!==d.filterHeight||1!==d.filterWidth||1!==d.dilationHeight||1!==d.dilationWidth||1!==d.strideHeight||1!==d.strideWidth||\"SAME\"!==d.padInfo.type&&\"VALID\"!==d.padInfo.type){p=ENV.engine.runKernel(function(e){return e.conv2d(l,u,d)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '\"+a+\"'\"),{x:function(){return conv2dDerInput_(l.shape,e,u,r,n)},$filter:function(){return conv2dDerFilter_(l,e,u.shape,r,n)}}})}else{var h=l.reshape([-1,d.inChannels]),f=u.reshape([d.inChannels,d.outChannels]);p=matMul(h,f).reshape(d.outShape)}return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function conv2dDerInput_(e,t,r,n,o,a){assert(e.length===t.rank,\"Length of inShape (\"+e.length+\") and rank of dy (\"+t.rank+\") must match\");var i=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=[1,e[0],e[1],e[2]]);var l=i[3],c=s.shape[3];assert(4===i.length,\"Error in conv2dDerInput: inShape must be length 4, but got length \"+i.length+\".\"),assert(4===s.rank,\"Error in conv2dDerInput: dy must be rank 4, but got rank \"+s.rank),assert(4===r.rank,\"Error in conv2dDerInput: filter must be rank 4, but got rank \"+r.rank),assert(l===r.shape[2],\"Error in conv2dDerInput: depth of input (\"+l+\") must match input depth for filter \"+r.shape[2]+\".\"),assert(c===r.shape[3],\"Error in conv2dDerInput: depth of output (\"+c+\") must match output depth for filter \"+r.shape[3]+\".\"),null!=a&&assert(isInt(o),\"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var p=computeConv2DInfo(i,r.shape,n,1,o,a),d=ENV.engine.runKernel(function(e){return e.conv2dDerInput(s,r,p)},{dy4D:s,filter:r},function(e){return{dy4D:function(){return conv2d(e,r,n,o,\"NHWC\",1,a)},filter:function(){return conv2dDerFilter(e,s,r.shape,n,o,a)}}});return u?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function conv2dDerFilter_(e,t,r,n,o,a){var i=e;3===e.rank&&(i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in conv2dDerFilter: input must be rank 4, but got shape \"+i.shape+\".\"),assert(4===s.rank,\"Error in conv2dDerFilter: dy must be rank 4, but got shape \"+s.shape+\".\"),assert(4===r.length,\"Error in conv2dDerFilter: filterShape must be length 4, but got \"+r+\".\"),assert(i.shape[3]===r[2],\"Error in conv2dDerFilter: depth of input \"+i.shape[3]+\") must match input depth in filter (\"+r[2]+\".\"),assert(s.shape[3]===r[3],\"Error in conv2dDerFilter: depth of dy (\"+s.shape[3]+\") must match output depth for filter (\"+r[3]+\").\"),null!=a&&assert(isInt(o),\"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var u=computeConv2DInfo(i.shape,r,n,1,o,a);return ENV.engine.runKernel(function(e){return e.conv2dDerFilter(i,s,u)},{x4D:i,dy4D:s})}function conv2dTranspose_(e,t,r,n,o,a){return conv2dDerInput_(r,convertToTensor(e,\"x\",\"conv2dTranspose\"),convertToTensor(t,\"filter\",\"conv2dTranspose\"),n,o,a)}function depthwiseConv2d_(e,t,r,n,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"depthwiseConv2d\"),u=convertToTensor(t,\"filter\",\"depthwiseConv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in depthwiseConv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in depthwiseConv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),assert(l.shape[3]===u.shape[2],\"Error in depthwiseConv2d: number of input channels (\"+l.shape[3]+\") must match the inChannels dimension in filter \"+u.shape[2]+\".\"),null==a&&(a=[1,1]),assert(eitherStridesOrDilationsAreOne(r,a),\"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+a+\"'\"),null!=i&&assert(isInt(n),\"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+n+\".\");var p=computeConv2DInfo(l.shape,u.shape,r,a,n,i,!0),d=ENV.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,p)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '\"+a+\"'\"),{x:function(){return depthwiseConv2dDerInput(l.shape,e,u,p)},$filter:function(){return depthwiseConv2dDerFilter(l,e,u.shape,p)}}});return c?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function separableConv2d_(e,t,r,n,o,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i=\"NHWC\");var s=convertToTensor(e,\"x\",\"separableConv2d\"),u=convertToTensor(t,\"depthwiseFilter\",\"separableConv2d\"),l=convertToTensor(r,\"pointwiseFilter\",\"separableConv2d\"),c=s,p=!1;if(3===s.rank&&(p=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),\"NCHW\"===i)throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");assert(4===c.rank,\"Error in separableConv2d: input must be rank 4, but got rank \"+c.rank+\".\"),assert(4===u.rank,\"Error in separableConv2d: depthwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(4===l.rank,\"Error in separableConv2d: pointwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(1===l.shape[0],\"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got \"+l.shape[0]+\".\"),assert(1===l.shape[1],\"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got \"+l.shape[1]+\".\");var d=u.shape[2],h=u.shape[3];assert(l.shape[2]===d*h,\"Error in separableConv2d: the third dimension of pointwise filter must be \"+d*h+\", but got \"+l.shape[2]+\".\");var f=depthwiseConv2d(c,u,n,o,i,a),m=conv2d(f,l,1,\"valid\",i);return p?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}function depthwiseConv2dDerInput(e,t,r,n){var o=t,a=!1;3===t.rank&&(a=!0,o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var i=ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(o,r,n)},{dy4D:o});return a?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}function depthwiseConv2dDerFilter(e,t,r,n){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var a=t;return 3===a.rank&&(a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(o,a,n)},{x4D:o,dy4D:a})}var conv1d=op({conv1d_:conv1d_}),conv2d=op({conv2d_:conv2d_}),conv2dDerFilter=op({conv2dDerFilter_:conv2dDerFilter_}),depthwiseConv2d=op({depthwiseConv2d_:depthwiseConv2d_}),separableConv2d=op({separableConv2d_:separableConv2d_}),conv2dTranspose=op({conv2dTranspose_:conv2dTranspose_});function reverse1d_(e){var t=convertToTensor(e,\"x\",\"reverse\");return assert(1===t.rank,\"Error in reverse1D: x must be rank 1 but got\\n             rank \"+t.rank+\".\"),reverse(t,0)}function reverse2d_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");return assert(2===r.rank,\"Error in reverse2D: x must be rank 2 but got\\n             rank \"+r.rank+\".\"),reverse(r,t)}function reverse3d_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");return assert(3===r.rank,\"Error in reverse3D: x must be rank 3 but got\\n             rank \"+r.rank+\".\"),reverse(r,t)}function reverse4d_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");return assert(4===r.rank,\"Error in reverse4D: x must be rank 4 but got\\n             rank \"+r.rank+\".\"),reverse(r,t)}function reverse_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");if(0===r.rank)return r.clone();var n=parseAxisParam(t,r.shape);return ENV.engine.runKernel(function(e){return e.reverse(r,n)},{$x:r},function(e){return{$x:function(){return e.reverse(n)}}}).reshapeAs(r)}var reverse=op({reverse_:reverse_}),reverse1d=op({reverse1d_:reverse1d_}),reverse2d=op({reverse2d_:reverse2d_}),reverse3d=op({reverse3d_:reverse3d_}),reverse4d=op({reverse4d_:reverse4d_});function maxPoolImpl_(e,t,r,n,o,a){var i=convertToTensor(e,\"x\",\"maxPool\"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),null==n&&(n=[1,1]),assert(4===s.rank,\"Error in maxPool: input must be rank 4 but got rank \"+s.rank+\".\"),assert(eitherStridesOrDilationsAreOne(r,n),\"Error in maxPool: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+n+\"'\"),null!=a&&assert(isInt(o),\"Error in maxPool: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var l=computePool2DInfo(s.shape,t,r,n,o,a),c=ENV.engine.runKernel(function(e,t){return t(e.maxPool(s,l))},{x:s},function(e,a){var i=a[0];return{x:function(){return maxPoolBackprop(e,s,i,t,r,n,o)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function maxPool_(e,t,r,n,o){return maxPoolImpl_(e,t,r,1,n,o)}function avgPoolImpl_(e,t,r,n,o,a){var i=convertToTensor(e,\"x\",\"avgPool\");assert(\"float32\"===i.dtype,\"The input dtype to avgPool must be float32\"),null==n&&(n=[1,1]),assert(eitherStridesOrDilationsAreOne(r,n),\"Error in avgPool: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+n+\"'\");var s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),assert(4===s.rank,\"Error in avgPool: x must be rank 4 but got rank \"+s.rank+\".\"),null!=a&&assert(isInt(o),\"Error in avgPool: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var l=computePool2DInfo(s.shape,t,r,n,o),c=ENV.engine.runKernel(function(e){return e.avgPool(s,l)},{x:s},function(e){return{x:function(){return avgPoolBackprop(e,s,t,r,n,o)}}});return c=c.cast(i.dtype),u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function avgPool_(e,t,r,n,o){return avgPoolImpl_(e,t,r,1,n,o)}function pool_(e,t,r,n,o,a){null==o&&(o=[1,1]),null==a&&(a=1),0===n&&(n=\"valid\");var i=convertToTensor(e,\"x\",\"maxPool\"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),assert(eitherStridesOrDilationsAreOne(a,o),\"Error in pool: Either strides or dilations must be 1. Got strides \"+a+\" and dilations '\"+o+\"'\");var l,c=computePool2DInfo(s.shape,t,a,o,n),p=[c.dilationHeight,c.dilationWidth];l=\"same\"===n?withSpaceToBatchBasePaddings([c.filterHeight,c.filterWidth],p):[[0,0],[0,0]];var d=1===p[0]&&1===p[1],h=requiredSpaceToBatchPaddings([c.inHeight,c.inWidth],p,l),f=h[0],m=h[1],g=d?n:\"valid\",v=d?s:spaceToBatchND(s,p,f),y=(\"avg\"===r?function(){return avgPoolImpl_(v,t,a,1,g)}:function(){return maxPoolImpl_(v,t,a,1,g)})(),x=d?y:batchToSpaceND(y,p,m);return u?x.as3D(x.shape[1],x.shape[2],x.shape[3]):x}function maxPoolBackprop(e,t,r,n,o,a,i,s){var u=convertToTensor(e,\"dy\",\"maxPoolBackprop\"),l=convertToTensor(t,\"input\",\"maxPoolBackprop\"),c=convertToTensor(r,\"output\",\"maxPoolBackprop\");assert(l.rank===u.rank,\"Rank of input (\"+l.rank+\") does not match rank of dy (\"+u.rank+\")\"),null==a&&(a=[1,1]),assert(eitherStridesOrDilationsAreOne(o,a),\"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides \"+o+\" and dilations '\"+a+\"'\"),assert(4===u.rank,\"Error in maxPoolBackprop: dy must be rank 4 but got rank \"+u.rank+\".\"),assert(4===l.rank,\"Error in maxPoolBackprop: input must be rank 4 but got rank \"+l.rank+\".\"),null!=s&&assert(isInt(i),\"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode \"+s+\" but got pad \"+i+\".\");var p=computePool2DInfo(l.shape,n,o,a,i,s);return ENV.engine.runKernel(function(e){return e.maxPoolBackprop(u,l,c,p)},{$dy:u,$input:l})}function avgPoolBackprop(e,t,r,n,o,a){var i=convertToTensor(e,\"dy\",\"avgPoolBackprop\"),s=convertToTensor(t,\"input\",\"avgPoolBackprop\");assert(s.rank===i.rank,\"Rank of input (\"+s.rank+\") does not match rank of dy (\"+i.rank+\")\"),null==o&&(o=[1,1]),assert(eitherStridesOrDilationsAreOne(n,o),\"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+o+\"'\");var u=s,l=i,c=!1;3===s.rank&&(c=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),l=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),assert(4===l.rank,\"Error in avgPoolBackprop: dy must be rank 4 but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in avgPoolBackprop: input must be rank 4 but got rank \"+u.rank+\".\");var p=computePool2DInfo(u.shape,r,n,o,a),d=ENV.engine.runKernel(function(e){return e.avgPoolBackprop(l,u,p)},{dy4D:l,input4D:u});return c?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function requiredSpaceToBatchPaddings(e,t,r){var n=r.map(function(e){return e[0]}),o=r.map(function(e){return e[1]}),a=e.concat(n,o),i=t.map(function(e,t){return(e-a[t]%e)%e}),s=o.map(function(e,t){return e+i[t]});return[t.map(function(e,t){return[n[t],s[t]]}),t.map(function(e,t){return[0,i[t]]})]}function withSpaceToBatchBasePaddings(e,t){var r=e.map(function(e,r){return e+(e-1)*(t[r]-1)}).map(function(e){return e-1}),n=r.map(function(e){return Math.floor(e/2)}),o=r.map(function(e,t){return e-n[t]});return r.map(function(e,t){return[n[t],o[t]]})}var maxPool=op({maxPool_:maxPool_}),avgPool=op({avgPool_:avgPool_}),pool=op({pool_:pool_});function slice1d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice1d\");return assert(1===n.rank,\"slice1d expects a rank-1 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,[t],[r])}function slice2d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice2d\");return assert(2===n.rank,\"slice2d expects a rank-2 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,t,r)}function slice3d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice3d\");return assert(3===n.rank,\"slice3d expects a rank-3 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,t,r)}function slice4d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice4d\");return assert(4===n.rank,\"slice4d expects a rank-4 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,t,r)}function slice_(e,t,r){var n,o,a=convertToTensor(e,\"x\",\"slice\");if(0===a.rank)throw new Error(\"Slicing scalar is not possible\");n=\"number\"==typeof t?[t].concat(new Array(a.rank-1).fill(0)):t.length<a.rank?t.concat(new Array(a.rank-t.length).fill(0)):t.slice(),o=(o=null==r?new Array(a.rank).fill(-1):\"number\"==typeof r?[r].concat(new Array(a.rank-1).fill(-1)):r.length<a.rank?r.concat(new Array(a.rank-r.length).fill(-1)):r).map(function(e,t){return e>=0?e:(assert(-1===e,\"Bad value in size\"),a.shape[t]-n[t])}),assertParamsValid(a,n,o);var i=a.shape;return ENV.engine.runKernel(function(e){return e.slice(a,n,o)},{$x:a},function(e){for(var t=[],r=0;r<e.rank;r++)t.push([n[r],i[r]-n[r]-o[r]]);return{$x:function(){return e.pad(t)}}})}var slice=op({slice_:slice_}),slice1d=op({slice1d_:slice1d_}),slice2d=op({slice2d_:slice2d_}),slice3d=op({slice3d_:slice3d_}),slice4d=op({slice4d_:slice4d_});function logSumExp_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"logSumExp\"),o=parseAxisParam(t,n.shape),a=n.max(o,!0),i=n.sub(a).exp().sum(o).log(),s=a.reshape(i.shape).add(i);if(r){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function sum_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"sum\");\"bool\"===n.dtype&&(n=n.toInt());var o=parseAxisParam(t,n.shape);return customGrad(function(e){var t=getAxesPermutation(o,e.rank),n=o,a=e;null!=t&&(a=e.transpose(t),n=getInnerMostAxes(n.length,e.rank));var i=ENV.engine.runKernel(function(e){return e.sum(a,n)},{permutedX:a});if(r){var s=expandShapeToKeepDim(i.shape,o);i=i.reshape(s)}return{value:i,gradFunc:function(t){var r=e.shape.slice();return o.forEach(function(e){r[e]=1}),t.reshape(r).mul(ones$1(e.shape,\"float32\"))}}})(n)}function prod_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"prod\");\"bool\"===n.dtype&&(n=n.toInt());var o=parseAxisParam(t,n.shape),a=getAxesPermutation(o,n.rank),i=o,s=n;null!=a&&(s=n.transpose(a),i=getInnerMostAxes(i.length,n.rank));var u=ENV.engine.runKernel(function(e){return e.prod(s,i)},{permutedX:s});if(r){var l=expandShapeToKeepDim(u.shape,o);u=u.reshape(l)}return u}function mean_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"mean\"),o=parseAxisParam(t,n.shape),a=sizeFromShape(computeOutAndReduceShapes(n.shape,o)[1]);return customGrad(function(e){var n=scalar(a);return{value:(n.dtype===e.dtype?e:e.cast(n.dtype)).div(n).sum(t,r),gradFunc:function(t){var r=e.shape.slice();return o.forEach(function(e){r[e]=1}),t.reshape(r).mul(ones$1(e.shape,\"float32\")).div(n)}}})(n)}function gradForMinAndMax(e,t,r,n,o){var a=t[0];return a.rank<r.rank&&(a=a.reshape(expandShapeToKeepDim(a.shape,n))),e.rank<r.rank&&(e=e.reshape(expandShapeToKeepDim(e.shape,n))),{$x:function(){var t=e.mul(r.equal(a).cast(e.dtype));return null==o?t:t.transpose(o)}}}function min_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"min\"),o=n,a=parseAxisParam(t,n.shape),i=a,s=getAxesPermutation(i,n.rank);null!=s&&(n=n.transpose(s),i=getInnerMostAxes(i.length,n.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.min(n,i))},{$x:n},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(r){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function max_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"max\"),o=n,a=parseAxisParam(t,n.shape),i=a,s=getAxesPermutation(i,n.rank);null!=s&&(n=n.transpose(s),i=getInnerMostAxes(i.length,n.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.max(n,i))},{$x:n},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(r){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function argMin_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"argMin\");null==t&&(t=0);var n=parseAxisParam(t,r.shape),o=getAxesPermutation(n,r.rank);null!=o&&(r=r.transpose(o),n=getInnerMostAxes(n.length,r.rank));return ENV.engine.runKernel(function(e){return e.argMin(r,n[0])},{$x:r},function(e){return{$x:function(){return zerosLike(r)}}})}function argMax_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"argMax\");null==t&&(t=0);var n=parseAxisParam(t,r.shape),o=getAxesPermutation(n,r.rank);null!=o&&(r=r.transpose(o),n=getInnerMostAxes(n.length,r.rank));return ENV.engine.runKernel(function(e){return e.argMax(r,n[0])},{$x:r},function(e){return{$x:function(){return zerosLike(r)}}})}function all_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"all\",\"bool\");assert(\"bool\"===n.dtype,\"Error Tensor must be of type bool. Got: \"+n.dtype);var o=parseAxisParam(t,n.shape),a=o,i=getAxesPermutation(a,n.rank);null!=i&&(n=n.transpose(i),a=getInnerMostAxes(a.length,n.rank));var s=ENV.engine.runKernel(function(e){return e.all(n,a)},{$x:n});if(r){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function any_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"any\",\"bool\");assert(\"bool\"===n.dtype,\"Error Tensor must be of type bool. Got: \"+n.dtype);var o=parseAxisParam(t,n.shape),a=o,i=getAxesPermutation(a,n.rank);null!=i&&(n=n.transpose(i),a=getInnerMostAxes(a.length,n.rank));var s=ENV.engine.runKernel(function(e){return e.any(n,a)},{$x:n});if(r){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function moments_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=parseAxisParam(t,(e=convertToTensor(e,\"x\",\"moments\")).shape),o=e.mean(n,r),a=o.shape;return r||(a=expandShapeToKeepDim(o.shape,n)),{mean:o,variance:e.toFloat().sub(o.reshape(a)).square().mean(n,r)}}var all=op({all_:all_}),any=op({any_:any_}),argMax=op({argMax_:argMax_}),argMin=op({argMin_:argMin_}),logSumExp=op({logSumExp_:logSumExp_}),max=op({max_:max_}),mean=op({mean_:mean_}),min=op({min_:min_}),moments=op({moments_:moments_}),sum$1=op({sum_:sum_}),prod=op({prod_:prod_});function notEqual_(e,t){var r=convertToTensor(e,\"a\",\"notEqual\"),n=convertToTensor(t,\"b\",\"notEqual\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.notEqual(r,n)},{$a:r,$b:n})}function notEqualStrict_(e,t){var r=convertToTensor(e,\"a\",\"notEqualStrict\"),n=convertToTensor(t,\"b\",\"notEqualStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in notEqualStrict: \"),r.notEqual(n)}function less_(e,t){var r=convertToTensor(e,\"a\",\"less\"),n=convertToTensor(t,\"b\",\"less\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.less(r,n)},{$a:r,$b:n})}function lessStrict_(e,t){var r=convertToTensor(e,\"a\",\"lessStrict\"),n=convertToTensor(t,\"b\",\"lessStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in lessStrict: \"),r.less(n)}function equal_(e,t){var r=convertToTensor(e,\"a\",\"equal\"),n=convertToTensor(t,\"b\",\"equal\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.equal(r,n)},{$a:r,$b:n})}function equalStrict_(e,t){var r=convertToTensor(e,\"a\",\"equalStrict\"),n=convertToTensor(t,\"b\",\"equalStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in equalStrict: \"),r.equal(n)}function lessEqual_(e,t){var r=convertToTensor(e,\"a\",\"lessEqual\"),n=convertToTensor(t,\"b\",\"lessEqual\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.lessEqual(r,n)},{$a:r,$b:n})}function lessEqualStrict_(e,t){var r=convertToTensor(e,\"a\",\"lessEqualStrict\"),n=convertToTensor(t,\"b\",\"lessEqualStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in lessEqualStrict: \"),r.lessEqual(n)}function greater_(e,t){var r=convertToTensor(e,\"a\",\"greater\"),n=convertToTensor(t,\"b\",\"greater\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.greater(r,n)},{$a:r,$b:n})}function greaterStrict_(e,t){var r=convertToTensor(e,\"a\",\"greaterStrict\"),n=convertToTensor(t,\"b\",\"greaterStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in greaterStrict: \"),r.greater(n)}function greaterEqual_(e,t){var r=convertToTensor(e,\"a\",\"greaterEqual\"),n=convertToTensor(t,\"b\",\"greaterEqual\");assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.greaterEqual(r,n)},{$a:r,$b:n},function(e){return{$a:function(){return zerosLike(r)},$b:function(){return zerosLike(n)}}})}function greaterEqualStrict_(e,t){var r=convertToTensor(e,\"a\",\"greaterEqualStrict\"),n=convertToTensor(t,\"b\",\"greaterEqualStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in greaterEqualStrict: \"),r.greaterEqual(n)}var equal=op({equal_:equal_}),equalStrict=op({equalStrict_:equalStrict_}),greater=op({greater_:greater_}),greaterEqual=op({greaterEqual_:greaterEqual_}),greaterEqualStrict=op({greaterEqualStrict_:greaterEqualStrict_}),greaterStrict=op({greaterStrict_:greaterStrict_}),less=op({less_:less_}),lessEqual=op({lessEqual_:lessEqual_}),lessEqualStrict=op({lessEqualStrict_:lessEqualStrict_}),lessStrict=op({lessStrict_:lessStrict_}),notEqual=op({notEqual_:notEqual_}),notEqualStrict=op({notEqualStrict_:notEqualStrict_});function add_(e,t){var r=convertToTensor(e,\"a\",\"add\"),n=convertToTensor(t,\"b\",\"add\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.add(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.reshape(r.shape)},$b:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.reshape(n.shape)}}})}function addN_(e){assert(Array.isArray(e),function(){return\"The argument passed to tf.addN() must be a list of tensors\"}),assert(e.length>=1,function(){return\"Must pass at least one tensor to tf.addN(), but got \"+e.length});var t=e.map(function(e,t){return convertToTensor(e,\"tensors\"+t,\"addN\")}),r=t[0];t.forEach(function(e){if(e.dtype!==r.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(function(e){if(!arraysEqual(e.shape,r.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});var n=t;return ENV.engine.runKernel(function(e){return e.addN(t)},n,function(e){var r={};return t.forEach(function(t,n){r[n]=function(){return e.clone()}}),r})}function addStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in addStrict: \"),e.add(t)}function sub_(e,t){var r=convertToTensor(e,\"a\",\"sub\"),n=convertToTensor(t,\"b\",\"sub\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.subtract(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.reshape(r.shape)},$b:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.neg().reshape(n.shape)}}})}function subStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in subStrict: \"),e.sub(t)}function pow_(e,t){var r=convertToTensor(e,\"base\",\"pow\"),n=convertToTensor(t,\"exp\",\"pow\"),o=assertAndGetBroadcastShape(r.shape,n.shape);e=r.cast(upcastType(r.dtype,n.dtype)),t=n.cast(upcastType(r.dtype,n.dtype));return ENV.engine.runKernel(function(e,t){return t(e.pow(r,n))},{$base:r,$exp:n},function(e,t){var a=t[0];return{$base:function(){var t=n.toFloat(),a=e.mul(t.mul(r.pow(t.sub(scalar(1))))),i=getReductionAxes(r.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(r.shape)},$exp:function(){var t=e.mul(a.mul(r.log()).toFloat()),i=getReductionAxes(n.shape,o);return i.length>0&&(t=t.sum(i)),t.reshape(n.shape)}}})}function powStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in powStrict: \"),e.pow(t)}function mul_(e,t){var r=convertToTensor(e,\"a\",\"mul\"),n=convertToTensor(t,\"b\",\"mul\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.multiply(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e.mul(n.toFloat()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t},$b:function(){var t=e.mul(r.toFloat()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t}}})}function mulStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in multiplyStrict: \"),e.mul(t)}function div_(e,t){var r,n=convertToTensor(e,\"a\",\"div\"),o=convertToTensor(t,\"b\",\"div\");if(assertTypesMatch(n,o),\"int32\"===n.dtype&&\"int32\"===o.dtype)return floorDiv(n,o);r=function(e){return e.realDivide(n,o)};var a=assertAndGetBroadcastShape(n.shape,o.shape);return ENV.engine.runKernel(r,{$a:n,$b:o},function(e){return{$a:function(){var t=e.div(o.toFloat()),r=getReductionAxes(n.shape,a);return r.length>0?t.sum(r).reshape(n.shape):t},$b:function(){var t=e.mul(n.toFloat()),r=getReductionAxes(o.shape,a);r.length>0&&(t=t.sum(r).reshape(o.shape));var i=o.square();return t.div(i.toFloat()).neg()}}})}function floorDiv_(e,t){var r=convertToTensor(e,\"a\",\"floorDiv\"),n=convertToTensor(t,\"b\",\"floorDiv\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.floorDiv(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e.div(n.toFloat()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t},$b:function(){var t=e.mul(r.toFloat()),a=getReductionAxes(n.shape,o);a.length>0&&(t=t.sum(a).reshape(n.shape));var i=n.square();return t.div(i.toFloat()).neg()}}})}function divStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in divideStrict: \"),e.div(t)}function mod_(e,t){var r=convertToTensor(e,\"a\",\"mod\"),n=convertToTensor(t,\"b\",\"mod\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.mod(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=getReductionAxes(r.shape,o);return t.length>0?e.sum(t).reshape(r.shape):e},$b:function(){var t=e.mul(r.div(n).floor().neg()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t}}})}function modStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in modStrict: \"),e.mod(t)}function minimum_(e,t){var r=convertToTensor(e,\"a\",\"minimum\"),n=convertToTensor(t,\"b\",\"minimum\");assertTypesMatch(r,n),\"bool\"===r.dtype&&(r=r.toInt()),\"bool\"===n.dtype&&(n=n.toInt()),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.minimum(r,n)},{$a:r,$b:n},function(e){return{$a:function(){return e.mul(r.lessEqual(n).toFloat())},$b:function(){return e.mul(r.greater(n).toFloat())}}})}function minimumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in minimumStrict: \"),e.minimum(t)}function maximum_(e,t){var r=convertToTensor(e,\"a\",\"maximum\"),n=convertToTensor(t,\"b\",\"maximum\");assertTypesMatch(r,n),\"bool\"===r.dtype&&(r=r.toInt()),\"bool\"===n.dtype&&(n=n.toInt()),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.maximum(r,n)},{$a:r,$b:n},function(e){return{$a:function(){return e.mul(r.greaterEqual(n).toFloat())},$b:function(){return e.mul(r.less(n).toFloat())}}})}function maximumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in maximumStrict: \"),e.maximum(t)}function squaredDifference_(e,t){var r=convertToTensor(e,\"a\",\"squaredDifference\"),n=convertToTensor(t,\"b\",\"squaredDifference\");assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.squaredDifference(r,n)},{$a:r,$b:n},function(e){var t=scalar(2);return{$a:function(){return e.mul(r.sub(n).mul(t))},$b:function(){return e.mul(n.sub(r).mul(t))}}})}function squaredDifferenceStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in squaredDifferenceStrict: \"),e.squaredDifference(t)}function atan2_(e,t){var r=convertToTensor(e,\"a\",\"atan2\"),n=convertToTensor(t,\"b\",\"atan2\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.atan2(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=add(r.square(),n.square()),a=e.mul(n.div(t)),i=getReductionAxes(r.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(r.shape)},$b:function(){var t=add(r.square(),n.square()),a=neg(e.mul(r.div(t))),i=getReductionAxes(n.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(n.shape)}}})}var add=op({add_:add_}),addN=op({addN_:addN_}),addStrict=op({addStrict_:addStrict_}),atan2=op({atan2_:atan2_}),div=op({div_:div_}),divStrict=op({divStrict_:divStrict_}),floorDiv=op({floorDiv_:floorDiv_}),maximum=op({maximum_:maximum_}),maximumStrict=op({maximumStrict_:maximumStrict_}),minimum=op({minimum_:minimum_}),minimumStrict=op({minimumStrict_:minimumStrict_}),mod=op({mod_:mod_}),modStrict=op({modStrict_:modStrict_}),mul=op({mul_:mul_}),mulStrict=op({mulStrict_:mulStrict_}),pow=op({pow_:pow_}),powStrict=op({powStrict_:powStrict_}),squaredDifference=op({squaredDifference_:squaredDifference_}),squaredDifferenceStrict=op({squaredDifferenceStrict_:squaredDifferenceStrict_}),sub=op({sub_:sub_}),subStrict=op({subStrict_:subStrict_});function logicalNot_(e){var t=convertToTensor(e,\"x\",\"logicalNot\",\"bool\");return assert(\"bool\"===t.dtype,\"Error Array must be of type bool.\"),ENV.engine.runKernel(function(e){return e.logicalNot(t)},{$x:t})}function logicalAnd_(e,t){var r=convertToTensor(e,\"a\",\"logicalAnd\",\"bool\"),n=convertToTensor(t,\"b\",\"logicalAnd\",\"bool\");return assert(\"bool\"===r.dtype&&\"bool\"===n.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.logicalAnd(r,n)},{$a:r,$b:n})}function logicalOr_(e,t){var r=convertToTensor(e,\"a\",\"logicalOr\",\"bool\"),n=convertToTensor(t,\"b\",\"logicalOr\",\"bool\");return assert(\"bool\"===r.dtype&&\"bool\"===n.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.logicalOr(r,n)},{$a:r,$b:n})}function logicalXor_(e,t){var r=convertToTensor(e,\"a\",\"logicalXor\",\"bool\"),n=convertToTensor(t,\"b\",\"logicalXor\",\"bool\");return assert(\"bool\"===r.dtype&&\"bool\"===n.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(r.shape,n.shape),logicalOr(e,t).logicalAnd(logicalAnd(e,t).logicalNot())}function where_(e,t,r){var n=convertToTensor(t,\"a\",\"where\"),o=convertToTensor(r,\"b\",\"where\"),a=convertToTensor(e,\"condition\",\"where\",\"bool\");assert(\"bool\"===a.dtype,\"Error Condition must be of type bool.\"),assertShapesMatch(n.shape,o.shape,\"Error in where: \"),1===a.rank?assert(a.shape[0]===n.shape[0],\"The first dimension of `a` must match the size of `condition`.\"):assertShapesMatch(a.shape,o.shape,\"Error in where: \");return ENV.engine.runKernel(function(e){return e.select(a,n,o)},{$condition:a,$a:n,$b:o},function(e){return{$condition:function(){return zerosLike(a)},$a:function(){return e.mul(a.cast(n.dtype))},$b:function(){return e.mul(a.logicalNot().cast(o.dtype))}}})}function whereAsync_(e){return __awaiter(this,void 0,void 0,function(){var t,r,n;return __generator(this,function(o){switch(o.label){case 0:return assert(\"bool\"===(t=convertToTensor(e,\"condition\",\"where\",\"bool\")).dtype,\"Condition must be of type bool.\"),[4,t.data()];case 1:return r=o.sent(),n=whereImpl(t.shape,r),e!==t&&t.dispose(),[2,n]}})})}var logicalAnd=op({logicalAnd_:logicalAnd_}),logicalNot=op({logicalNot_:logicalNot_}),logicalOr=op({logicalOr_:logicalOr_}),logicalXor=op({logicalXor_:logicalXor_}),where=op({where_:where_}),whereAsync=whereAsync_;function relu_(e){var t=convertToTensor(e,\"x\",\"relu\");if(\"bool\"===t.dtype)return t.toInt();return ENV.engine.runKernel(function(e){return e.relu(t)},{$x:t},function(e){var r=t.step();return{$x:function(){return e.mulStrict(r.toFloat())}}})}function elu_(e){var t=convertToTensor(e,\"x\",\"elu\");return ENV.engine.runKernel(function(e,r){return r(e.elu(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return ENV.engine.runKernel(function(t){return t.eluDer(e,r)},{dy:e,y:r})}}})}function selu_(e){var t=convertToTensor(e,\"x\",\"selu\");return ENV.engine.runKernel(function(e){return e.selu(t)},{$x:t},function(e){return{$x:function(){var r=t.greater(scalar(0)),n=scalar(SELU_SCALEALPHA),o=scalar(SELU_SCALE),a=e.mul(o),i=e.mul(n).mul(t.toFloat().exp());return where(r,a,i)}}})}function leakyRelu_(e,t){void 0===t&&(t=.2);var r=convertToTensor(e,\"x\",\"leakyRelu\");return maximum(scalar(t).mul(r),r)}function prelu_(e,t){var r=convertToTensor(e,\"x\",\"prelu\"),n=convertToTensor(t,\"alpha\",\"prelu\"),o=scalar(0);return maximum(o,r).add(n.mul(minimum(o,r)))}var elu=op({elu_:elu_}),leakyRelu=op({leakyRelu_:leakyRelu_}),prelu=op({prelu_:prelu_}),relu=op({relu_:relu_}),selu=op({selu_:selu_});function transpose_(e,t){var r=convertToTensor(e,\"x\",\"transpose\");if(null==t&&(t=r.shape.map(function(e,t){return t}).reverse()),assert(r.rank===t.length,\"Error in transpose: rank of input \"+r.rank+\" must match length of perm \"+t+\".\"),t.forEach(function(e){assert(e>=0&&e<r.rank,\"All entries in 'perm' must be between 0 and \"+(r.rank-1)+\" but got \"+t)}),r.rank<=1)return r.clone();return ENV.engine.runKernel(function(e){return e.transpose(r,t)},{$x:r},function(e){var r=getUndoAxesPermutation(t);return{$x:function(){return e.transpose(r)}}})}var transpose=op({transpose_:transpose_});function localResponseNormalization_(e,t,r,n,o){void 0===t&&(t=5),void 0===r&&(r=1),void 0===n&&(n=1),void 0===o&&(o=.5);var a=convertToTensor(e,\"x\",\"localResponseNormalization\");assert(4===a.rank||3===a.rank,\"Error in localResponseNormalization: x must be rank 3 or 4 but got\\n               rank \"+a.rank+\".\"),assert(isInt(t),\"Error in localResponseNormalization: depthRadius must be an integer\\n                     but got depthRadius \"+t+\".\");var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=ENV.engine.runKernel(function(e,a){return a(e.localResponseNormalization4D(i,t,r,n,o))},{x4D:i},function(e,a){var s=a[0];return{x4D:function(){return ENV.engine.runKernel(function(a){return a.LRNGrad(e,i,s,t,r,n,o)},{})}}});return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}var localResponseNormalization=op({localResponseNormalization_:localResponseNormalization_});function norm_(e,t,r,n){void 0===t&&(t=\"euclidean\"),void 0===r&&(r=null),void 0===n&&(n=!1);var o=normImpl(e=convertToTensor(e,\"x\",\"norm\"),t,r),a=o.shape;if(n){var i=parseAxisParam(r,e.shape);a=expandShapeToKeepDim(o.shape,i)}return o.reshape(a)}function normImpl(e,t,r){if(void 0===r&&(r=null),0===e.rank)return e.abs();if(1!==e.rank&&null===r)return normImpl(e.reshape([-1]),t,r);if(1===e.rank||\"number\"==typeof r||r instanceof Array&&1===r.length){if(1===t)return e.abs().sum(r);if(t===1/0)return e.abs().max(r);if(t===-1/0)return e.abs().min(r);if(\"euclidean\"===t||2===t)return e.abs().pow(scalar(2,\"int32\")).sum(r).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}if(r instanceof Array&&2===r.length){if(1===t)return e.abs().sum(r[0]).max(r[1]-1);if(t===1/0)return e.abs().sum(r[1]).max(r[0]);if(t===-1/0)return e.abs().sum(r[1]).min(r[0]);if(\"fro\"===t||\"euclidean\"===t)return e.square().sum(r).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}throw new Error(\"Error in norm: invalid axis: \"+r)}var norm=op({norm_:norm_});function unsortedSegmentSum_(e,t,r){var n=convertToTensor(e,\"x\",\"unsortedSegmentSum\"),o=convertToTensor(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");assert(\"int32\"===o.dtype,\"segmentIds must be of dtype `int32`\"),assert(isInt(r),\"numSegments must be of dtype int\");return ENV.engine.runKernel(function(e){return e.unsortedSegmentSum(n,o,r)},{$x:n},function(e){return{$x:function(){return gatherDropNegatives(e,o)}}})}function gather_(e,t,r){void 0===r&&(r=0);var n=convertToTensor(e,\"x\",\"gather\"),o=convertToTensor(t,\"indices\",\"gather\",\"int32\");assert(\"int32\"===o.dtype,\"Indices must be of dtype `int32`\"),r=parseAxisParam(r,n.shape)[0];return ENV.engine.runKernel(function(e){return e.gather(n,o,r)},{$x:n},function(e){return{$x:function(){if(0===r)return unsortedSegmentSum(e,o,n.shape[r]);var t=n.shape,a=o.size,i=t.slice(0,r),s=i.length,u=t.slice(r,t.length).slice(1),l=u.length,c=arrayRange(0,s),p=arrayRange(s+1,s+1+l),d=arrayConcat([i,[a],u]),h=e.reshape(d),f=o.reshape([a]),m=arrayConcat([[s],c,p]),g=h.transpose(m),v=unsortedSegmentSum(g,f,n.shape[r]),y=getUndoAxesPermutation(m);return v=v.transpose(y)}}})}function arrayRange(e,t){for(var r=[],n=e;n<t;++n)r.push(n);return r}function arrayConcat(e){for(var t=[],r=0;r<e.length;++r)for(var n=0;n<e[r].length;++n)t.push(e[r][n]);return t}function gatherDropNegatives(e,t){for(var r=maximum(t,zerosLike(t)),n=gather(e,r),o=greaterEqual(t,scalar(0,\"int32\")),a=n.rank-o.rank,i=0;i<a;++i)o=expandDims(o,i+1);o=logicalAnd(o,ones$1(n.shape,\"bool\"));var s=zerosLike(n);return where(o,n,s)}var gather=op({gather_:gather_}),unsortedSegmentSum=op({unsortedSegmentSum_:unsortedSegmentSum_});function multiRNNCell_(e,t,r,n){for(var o=convertToTensor(t,\"data\",\"multiRNNCell\"),a=convertToTensorArray(r,\"c\",\"multiRNNCell\"),i=convertToTensorArray(n,\"h\",\"multiRNNCell\"),s=o,u=[],l=0;l<e.length;l++){var c=e[l](s,a[l],i[l]);u.push(c[0]),u.push(c[1]),s=c[1]}var p=[],d=[];for(l=0;l<u.length;l+=2)p.push(u[l]),d.push(u[l+1]);return[p,d]}function basicLSTMCell_(e,t,r,n,o,a){var i=convertToTensor(e,\"forgetBias\",\"basicLSTMCell\"),s=convertToTensor(t,\"lstmKernel\",\"basicLSTMCell\"),u=convertToTensor(r,\"lstmBias\",\"basicLSTMCell\"),l=convertToTensor(n,\"data\",\"basicLSTMCell\"),c=convertToTensor(o,\"c\",\"basicLSTMCell\"),p=convertToTensor(a,\"h\",\"basicLSTMCell\"),d=l.concat(p,1).matMul(s).add(u),h=d.shape[0],f=d.shape[1]/4,m=[h,f],g=d.slice([0,0],m),v=d.slice([0,f],m),y=d.slice([0,2*f],m),x=d.slice([0,3*f],m),T=g.sigmoid().mulStrict(v.tanh()).addStrict(c.mulStrict(i.add(y).sigmoid()));return[T,T.tanh().mulStrict(x.sigmoid())]}var basicLSTMCell=op({basicLSTMCell_:basicLSTMCell_}),multiRNNCell=op({multiRNNCell_:multiRNNCell_});function movingAverage_(e,t,r,n,o){void 0===o&&(o=!0);var a=convertToTensor(e,\"v\",\"movingAverage\"),i=convertToTensor(t,\"x\",\"movingAverage\"),s=convertToTensor(r,\"decay\",\"movingAverage\");assertTypesMatch(a,i),assert(arraysEqual(a.shape,i.shape),\"Shape mismatch in v and x\");var u=scalar(1),l=u.sub(s),c=i.sub(a).mul(l);if(o){assert(null!=n,\"When using zeroDebias: true, step is required.\");var p=convertToTensor(n,\"step\",\"movingAverage\");c=c.div(u.sub(pow(s,p)))}return a.add(c)}var movingAverage=op({movingAverage_:movingAverage_});function stridedSlice_(e,t,r,n,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");var l=convertToTensor(e,\"x\",\"stridedSlice\");return ENV.engine.runKernel(function(e){return e.stridedSlice(l,t,r,n,o,a,i,s,u)},{$x:l})}var stridedSlice=op({stridedSlice_:stridedSlice_});function topk_(e,t,r){void 0===t&&(t=1),void 0===r&&(r=!0);var n=convertToTensor(e,\"x\",\"topk\");if(0===n.rank)throw new Error(\"topk() expects the input to be of rank 1 or higher\");var o=n.shape[n.shape.length-1];if(t>o)throw new Error(\"'k' passed to topk() must be <= the last dimension (\"+o+\") but got \"+t);var a=ENV.engine.runKernel(function(e){return e.topk(n,t,r)},{$x:n});return{values:a[0],indices:a[1]}}var topk=op({topk_:topk_});function scatterND_(e,t,r){var n=convertToTensor(e,\"indices\",\"scatterND\",\"int32\"),o=convertToTensor(t,\"updates\",\"scatterND\");return validateInput(o,n,r),ENV.engine.runKernel(function(e){return e.scatterND(n,o,r)},{$indices:n,$updates:o})}var scatterND=op({scatterND_:scatterND_});function fft_(e){assert(\"complex64\"===e.dtype,\"The dtype for tf.spectral.fft() must be complex64 but got \"+e.dtype+\".\");var t=e.shape[e.shape.length-1],r=e.size/t,n=e.as2D(r,t);return ENV.engine.runKernel(function(e){return e.fft(n)},{input:e}).reshape(e.shape)}function ifft_(e){assert(\"complex64\"===e.dtype,\"The dtype for tf.spectral.ifft() must be complex64 but got \"+e.dtype+\".\");var t=e.shape[e.shape.length-1],r=e.size/t,n=e.as2D(r,t);return ENV.engine.runKernel(function(e){return e.ifft(n)},{input:e}).reshape(e.shape)}function rfft_(e){assert(\"float32\"===e.dtype,\"The dtype for rfft() must be real value but\\n    got \"+e.dtype);var t=e.shape[e.shape.length-1],r=e.size/t,n=e.zerosLike(),o=complex(e,n).as2D(r,t),a=ENV.engine.runKernel(function(e){return e.fft(o)},{complexInput:o}),i=Math.floor(t/2)+1,s=real(a),u=imag(a),l=s.split([i,t-i],s.shape.length-1),c=u.split([i,t-i],u.shape.length-1),p=e.shape.slice();return p[e.shape.length-1]=i,complex(l[0],c[0]).reshape(p)}var fft=op({fft_:fft_}),ifft=op({ifft_:ifft_}),rfft=op({rfft_:rfft_}),spectral_ops=Object.freeze({fft:fft,ifft:ifft,rfft:rfft});function validateInput$1(e,t,r,n){if(\"int32\"!==e.dtype)throw new Error(\"tf.sparseToDense() expects the indices to be int32 type, but the dtype was \"+e.dtype+\".\");if(e.rank>2)throw new Error(\"sparseIndices should be a scalar, vector, or matrix, but got shape \"+e.shape+\".\");var o=e.rank>0?e.shape[0]:1,a=e.rank>1?e.shape[1]:1;if(r.length!==a)throw new Error(\"outputShape has incorrect number of elements:, \"+r.length+\", should be: \"+a+\".\");var i=t.size;if(0!==t.rank&&(1!==t.rank||i!==o))throw new Error(\"sparseValues has incorrect shape \"+t.shape+\", should be [] or [\"+o+\"]\");if(t.dtype!==n.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function sparseToDense_(e,t,r,n){var o=convertToTensor(e,\"sparseIndices\",\"sparseToDense\",\"int32\"),a=convertToTensor(t,\"sparseValues\",\"sparseToDense\"),i=convertToTensor(n,\"defaultValue\",\"sparseToDense\",a.dtype);return validateInput$1(o,a,r,i),ENV.engine.runKernel(function(e){return e.sparseToDense(o,a,r,i)},{$sparseIndices:o,$sparseValues:a,$defaultValue:i})}var sparseToDense=op({sparseToDense_:sparseToDense_});function gatherND_(e,t){var r=convertToTensor(t,\"indices\",\"gatherND\",\"int32\"),n=convertToTensor(e,\"x\",\"gatherND\");return ENV.engine.runKernel(function(e){return e.gatherND(n,r)},{$x:n,$indices:r})}var Reduction,gatherND=op({gatherND_:gatherND_});function computeWeightedLoss_(e,t,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var n=convertToTensor(e,\"losses\",\"computeWeightedLoss\"),o=null;null!=t&&(o=convertToTensor(t,\"weights\",\"computeWeightedLoss\"));var a=null==o?n:n.mul(o);if(r===Reduction.NONE)return a;if(r===Reduction.SUM)return a.sum();if(r===Reduction.MEAN){if(null==o)return a.mean();var i=sizeFromShape(n.shape)/sizeFromShape(o.shape),s=a.sum().div(o.sum());return i>1?s.div(scalar(i)):s}if(r===Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==o)return a.sum().div(scalar(n.size));var u=o.mul(ones$1(n.shape)).notEqual(scalar(0)).sum().toFloat();return a.sum().div(u)}throw Error(\"Unknown reduction: \"+r)}function absoluteDifference_(e,t,r,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"absoluteDifference\"),a=convertToTensor(t,\"predictions\",\"absoluteDifference\"),i=null;null!=r&&(i=convertToTensor(r,\"weights\",\"absoluteDifference\")),assertShapesMatch(o.shape,a.shape,\"Error in absoluteDifference: \");var s=o.sub(a).abs();return computeWeightedLoss(s,i,n)}function meanSquaredError_(e,t,r,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"meanSquaredError\"),a=convertToTensor(t,\"predictions\",\"meanSquaredError\"),i=null;null!=r&&(i=convertToTensor(r,\"weights\",\"meanSquaredError\")),assertShapesMatch(o.shape,a.shape,\"Error in meanSquaredError: \");var s=o.squaredDifference(a);return computeWeightedLoss(s,i,n)}function cosineDistance_(e,t,r,n,o){void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"cosineDistance\"),i=convertToTensor(t,\"predictions\",\"cosineDistance\"),s=null;null!=n&&(s=convertToTensor(n,\"weights\",\"cosineDistance\")),assertShapesMatch(a.shape,i.shape,\"Error in cosineDistance: \");var u=scalar(1).sub(a.mul(i).sum(r,!0));return computeWeightedLoss(u,s,o)}function hingeLoss_(e,t,r,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"hingeLoss\"),a=convertToTensor(t,\"predictions\",\"hingeLoss\"),i=null;null!=r&&(i=convertToTensor(r,\"weights\",\"hingeLoss\")),assertShapesMatch(o.shape,a.shape,\"Error in hingeLoss: \");var s=scalar(1);o=scalar(2).mul(o).sub(s);var u=s.sub(o.mul(a)).relu();return computeWeightedLoss(u,i,n)}function logLoss_(e,t,r,n,o){void 0===n&&(n=1e-7),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"logLoss\"),i=convertToTensor(t,\"predictions\",\"logLoss\"),s=null;null!=r&&(s=convertToTensor(r,\"weights\",\"logLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in logLoss: \");var u=scalar(1),l=scalar(n),c=a.mul(i.add(l).log()).neg().sub(u.sub(a).mul(u.sub(i).add(l).log()));return computeWeightedLoss(c,s,o)}function sigmoidCrossEntropyWithLogits_(e,t){var r=convertToTensor(e,\"labels\",\"sigmoidCrossEntropyWithLogits\"),n=convertToTensor(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");assertShapesMatch(r.shape,n.shape,\"Error in sigmoidCrossEntropyWithLogits: \");var o=n.relu(),a=n.mul(r),i=n.abs().neg().exp().log1p();return o.sub(a).add(i)}function sigmoidCrossEntropy_(e,t,r,n,o){void 0===n&&(n=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=convertToTensor(t,\"logits\",\"sigmoidCrossEntropy\"),s=null;if(null!=r&&(s=convertToTensor(r,\"weights\",\"sigmoidCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),n>0){var u=scalar(n),l=scalar(1),c=scalar(.5);a=a.mul(l.sub(u)).add(c.mul(u))}var p=sigmoidCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}function huberLoss_(e,t,r,n,o){void 0===n&&(n=1),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"huberLoss\"),i=convertToTensor(t,\"predictions\",\"huberLoss\"),s=null;null!=r&&(s=convertToTensor(r,\"weights\",\"huberLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in huberLoss: \");var u=scalar(n),l=i.sub(a).abs(),c=minimum(l,u),p=l.sub(c),d=scalar(.5).mul(c.square()).add(u.mul(p));return computeWeightedLoss(d,s,o)}function softmaxCrossEntropyWithLogits_(e,t,r){if(void 0===r&&(r=-1),-1===r&&(r=t.rank-1),r!==t.rank-1)throw Error(\"Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank \"+t.rank+\" and dim was \"+r);return customGrad(function(e,t){var n=t.logSumExp([r],!0),o=t.toFloat().sub(n);return{value:o.mul(e).neg().sum([r]),gradFunc:function(t){var n=expandShapeToKeepDim(t.shape,[r]);return[t.reshape(n).mul(e.toFloat().sub(o.exp())),t.reshape(n).mul(o.exp().sub(e.toFloat()))]}}})(e,t)}function softmaxCrossEntropy_(e,t,r,n,o){void 0===n&&(n=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"onehotLabels\",\"softmaxCrossEntropy\"),i=convertToTensor(t,\"logits\",\"softmaxCrossEntropy\"),s=null;if(null!=r&&(s=convertToTensor(r,\"weights\",\"softmaxCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in softmaxCrossEntropy: \"),n>0){var u=scalar(n),l=scalar(1),c=scalar(a.shape[1]);a=a.mul(l.sub(u)).add(u.div(c))}var p=softmaxCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}!function(e){e[e.NONE=0]=\"NONE\",e[e.MEAN=1]=\"MEAN\",e[e.SUM=2]=\"SUM\",e[e.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"}(Reduction||(Reduction={}));var absoluteDifference=op({absoluteDifference_:absoluteDifference_}),computeWeightedLoss=op({computeWeightedLoss_:computeWeightedLoss_}),cosineDistance=op({cosineDistance_:cosineDistance_}),hingeLoss=op({hingeLoss_:hingeLoss_}),huberLoss=op({huberLoss_:huberLoss_}),logLoss=op({logLoss_:logLoss_}),meanSquaredError=op({meanSquaredError_:meanSquaredError_}),sigmoidCrossEntropy=op({sigmoidCrossEntropy_:sigmoidCrossEntropy_}),softmaxCrossEntropy=op({softmaxCrossEntropy_:softmaxCrossEntropy_}),loss_ops=Object.freeze({get Reduction(){return Reduction},absoluteDifference:absoluteDifference,computeWeightedLoss:computeWeightedLoss,cosineDistance:cosineDistance,hingeLoss:hingeLoss,huberLoss:huberLoss,logLoss:logLoss,meanSquaredError:meanSquaredError,sigmoidCrossEntropy:sigmoidCrossEntropy,softmaxCrossEntropy:softmaxCrossEntropy});function gramSchmidt_(e){var t;if(Array.isArray(e)){t=!1,assert(null!=e&&e.length>0,\"Gram-Schmidt process: input must not be null, undefined, or empty\");for(var r=e[0].shape[0],n=1;n<e.length;++n)assert(e[n].shape[0]===r,\"Gram-Schmidt: Non-unique lengths found in the input vectors: (\"+e[n].shape[0]+\" vs. \"+r+\")\")}else t=!0,e=split$1(e,e.shape[0],0).map(function(e){return squeeze(e,[0])});assert(e.length<=e[0].shape[0],\"Gram-Schmidt: Number of vectors (\"+e.length+\") exceeds number of dimensions (\"+e[0].shape[0]+\").\");var o=[],a=e,i=function(e){o.push(ENV.engine.tidy(function(){var t=a[e];if(e>0)for(var r=0;r<e;++r){var n=sum$1(o[r].mulStrict(t)).mul(o[r]);t=t.sub(n)}return t.div(norm(t,\"euclidean\"))}))};for(n=0;n<e.length;++n)i(n);return t?stack(o,0):o}function qr_(e,t){if(void 0===t&&(t=!1),e.rank<2)throw new Error(\"qr() requires input tensor to have a rank >= 2, but got rank \"+e.rank);if(2===e.rank)return qr2d(e,t);var r=e.shape.slice(0,e.shape.length-2).reduce(function(e,t){return e*t}),n=[],o=[];return unstack(e.reshape([r,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0).forEach(function(e){var r=qr2d(e,t),a=r[0],i=r[1];n.push(a),o.push(i)}),[stack(n,0).reshape(e.shape),stack(o,0).reshape(e.shape)]}function qr2d(e,t){return void 0===t&&(t=!1),ENV.engine.tidy(function(){if(2!==e.shape.length)throw new Error(\"qr2d() requires a 2D Tensor, but got a \"+e.shape.length+\"D Tensor.\");for(var r=e.shape[0],n=e.shape[1],o=eye(r),a=e.clone(),i=tensor2d([[1]],[1,1]),s=i.clone(),u=r>=n?n:r,l=function(e){var t,u=a,l=s,c=o;t=ENV.engine.tidy(function(){var t=a.slice([e,e],[r-e,1]),u=t.norm(),l=a.slice([e,e],[1,1]),c=l.sign().neg(),p=l.sub(c.mul(u)),d=t.div(p);s=1===d.shape[0]?i.clone():i.concat(d.slice([1,0],[d.shape[0]-1,d.shape[1]]),0);var h=c.matMul(p).div(u).neg(),f=a.slice([e,0],[r-e,n]),m=h.mul(s);a=0===e?f.sub(m.matMul(s.transpose().matMul(f))):a.slice([0,0],[e,n]).concat(f.sub(m.matMul(s.transpose().matMul(f))),0);var g=o.slice([0,e],[r,o.shape[1]-e]);return o=0===e?g.sub(g.matMul(s).matMul(m.transpose())):o.slice([0,0],[r,e]).concat(g.sub(g.matMul(s).matMul(m.transpose())),1),[s,a,o]}),s=t[0],a=t[1],o=t[2],dispose([u,l,c])},c=0;c<u;++c)l(c);return!t&&r>n&&(o=o.slice([0,0],[r,n]),a=a.slice([0,0],[n,n])),[o,a]})}var gramSchmidt=op({gramSchmidt_:gramSchmidt_}),qr=op({qr_:qr_}),linalg_ops=Object.freeze({gramSchmidt:gramSchmidt,qr:qr});function resizeBilinear_(e,t,r){void 0===r&&(r=!1);var n=convertToTensor(e,\"images\",\"resizeBilinear\");assert(3===n.rank||4===n.rank,\"Error in resizeBilinear: x must be rank 3 or 4, but got rank \"+n.rank+\".\"),assert(2===t.length,\"Error in resizeBilinear: new shape must 2D, but got shape \"+t+\".\");var o=n,a=!1;3===n.rank&&(a=!0,o=n.as4D(1,n.shape[0],n.shape[1],n.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeBilinear(o,i,s,r)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeBilinearBackprop(e,o,r)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function resizeNearestNeighbor_(e,t,r){void 0===r&&(r=!1);var n=convertToTensor(e,\"images\",\"resizeNearestNeighbor\");assert(3===n.rank||4===n.rank,\"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank \"+n.rank+\".\"),assert(2===t.length,\"Error in resizeNearestNeighbor: new shape must 2D, but got shape \"+t+\".\"),assert(\"float32\"===n.dtype||\"int32\"===n.dtype,\"`images` must have `int32` or `float32` as dtype\");var o=n,a=!1;3===n.rank&&(a=!0,o=n.as4D(1,n.shape[0],n.shape[1],n.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeNearestNeighbor(o,i,s,r)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeNearestNeighborBackprop(e,o,r)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function nonMaxSuppression_(e,t,r,n,o){void 0===n&&(n=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=convertToTensor(e,\"boxes\",\"nonMaxSuppression\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppression\"),s=nonMaxSuppSanityCheck(a,i,r,n,o);return r=s.maxOutputSize,n=s.iouThreshold,o=s.scoreThreshold,ENV.engine.runKernel(function(e){return e.nonMaxSuppression(a,i,r,n,o)},{$boxes:a})}function nonMaxSuppressionAsync_(e,t,r,n,o){return void 0===n&&(n=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),__awaiter(this,void 0,void 0,function(){var a,i,s,u,l,c;return __generator(this,function(p){switch(p.label){case 0:return a=convertToTensor(e,\"boxes\",\"nonMaxSuppressionAsync\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppressionAsync\"),s=nonMaxSuppSanityCheck(a,i,r,n,o),r=s.maxOutputSize,n=s.iouThreshold,o=s.scoreThreshold,[4,a.data()];case 1:return u=p.sent(),[4,i.data()];case 2:return l=p.sent(),c=nonMaxSuppressionImpl(u,l,r,n,o),a!==e&&a.dispose(),i!==t&&i.dispose(),[2,c]}})})}function nonMaxSuppSanityCheck(e,t,r,n,o){null==n&&(n=.5),null==o&&(o=Number.NEGATIVE_INFINITY);var a=e.shape[0];return r=Math.min(r,a),assert(0<=n&&n<=1,\"iouThreshold must be in [0, 1], but was '\"+n+\"'\"),assert(2===e.rank,\"boxes must be a 2D tensor, but was of rank '\"+e.rank+\"'\"),assert(4===e.shape[1],\"boxes must have 4 columns, but 2nd dimension was \"+e.shape[1]),assert(1===t.rank,\"scores must be a 1D tensor\"),assert(t.shape[0]===a,\"scores has incompatible shape with boxes. Expected \"+a+\", but was \"+t.shape[0]),{maxOutputSize:r,iouThreshold:n,scoreThreshold:o}}function cropAndResize_(e,t,r,n,o,a){var i=convertToTensor(e,\"image\",\"cropAndResize\",\"float32\"),s=convertToTensor(t,\"boxes\",\"cropAndResize\",\"float32\"),u=convertToTensor(r,\"boxInd\",\"cropAndResize\",\"int32\");o=o||\"bilinear\",a=a||0;var l=s.shape[0];assert(4===i.rank,\"Error in cropAndResize: image must be rank 4,but got rank \"+i.rank+\".\"),assert(2===s.rank&&4===s.shape[1],\"Error in cropAndResize: boxes must be have size [\"+l+\",4] but had shape \"+s.shape+\".\"),assert(1===u.rank&&u.shape[0]===l,\"Error in cropAndResize: boxInd must be have size [\"+l+\"] but had shape \"+s.shape+\".\"),assert(\"int32\"===u.dtype,\"Error in cropAndResize: boxInd must be of dtype int32, but got dtype \"+u.dtype+\".\"),assert(2===n.length,\"Error in cropAndResize: cropSize must be of length 2, but got length \"+n.length+\".\"),assert(n[0]>=1&&n[1]>=1,\"cropSize must be atleast [1,1], but was \"+n),assert(\"bilinear\"===o||\"nearest\"===o,\"method must be bilinear or nearest, but was \"+o);return ENV.engine.runKernel(function(e,t){return e.cropAndResize(i,s,u,n,o,a)},{$image:i,$boxes:s})}var resizeBilinear=op({resizeBilinear_:resizeBilinear_}),resizeNearestNeighbor=op({resizeNearestNeighbor_:resizeNearestNeighbor_}),nonMaxSuppression=op({nonMaxSuppression_:nonMaxSuppression_}),nonMaxSuppressionAsync=nonMaxSuppressionAsync_,cropAndResize=cropAndResize_,image_ops=Object.freeze({resizeBilinear:resizeBilinear,resizeNearestNeighbor:resizeNearestNeighbor,nonMaxSuppression:nonMaxSuppression,nonMaxSuppressionAsync:nonMaxSuppressionAsync,cropAndResize:cropAndResize}),ops=Object.freeze({image:image_ops,linalg:linalg_ops,losses:loss_ops,spectral:spectral_ops,op:op,batchNormalization2d:batchNormalization2d,batchNormalization3d:batchNormalization3d,batchNormalization4d:batchNormalization4d,batchNormalization:batchNormalization,complex:complex,real:real,imag:imag,concat:concat,concat1d:concat1d,concat2d:concat2d,concat3d:concat3d,concat4d:concat4d,split:split$1,conv1d:conv1d,conv2d:conv2d,conv2dDerFilter:conv2dDerFilter,depthwiseConv2d:depthwiseConv2d,separableConv2d:separableConv2d,conv2dTranspose:conv2dTranspose,matMul:matMul,dot:dot,outerProduct:outerProduct,reverse:reverse,reverse1d:reverse1d,reverse2d:reverse2d,reverse3d:reverse3d,reverse4d:reverse4d,maxPool:maxPool,avgPool:avgPool,pool:pool,slice:slice,slice1d:slice1d,slice2d:slice2d,slice3d:slice3d,slice4d:slice4d,abs:abs,acos:acos,acosh:acosh,asin:asin,asinh:asinh,atan:atan,atanh:atanh,ceil:ceil,clipByValue:clipByValue,cos:cos,cosh:cosh,erf:erf,exp:exp,expm1:expm1,floor:floor,log:log$1,log1p:log1p,logSigmoid:logSigmoid,neg:neg,reciprocal:reciprocal,round:round,rsqrt:rsqrt,sigmoid:sigmoid,sign:sign,sin:sin,sinh:sinh,softplus:softplus,sqrt:sqrt,square:square,step:step,tan:tan,tanh:tanh$1,all:all,any:any,argMax:argMax,argMin:argMin,logSumExp:logSumExp,max:max,mean:mean,min:min,moments:moments,sum:sum$1,prod:prod,equal:equal,equalStrict:equalStrict,greater:greater,greaterEqual:greaterEqual,greaterEqualStrict:greaterEqualStrict,greaterStrict:greaterStrict,less:less,lessEqual:lessEqual,lessEqualStrict:lessEqualStrict,lessStrict:lessStrict,notEqual:notEqual,notEqualStrict:notEqualStrict,add:add,addN:addN,addStrict:addStrict,atan2:atan2,div:div,divStrict:divStrict,floorDiv:floorDiv,maximum:maximum,maximumStrict:maximumStrict,minimum:minimum,minimumStrict:minimumStrict,mod:mod,modStrict:modStrict,mul:mul,mulStrict:mulStrict,pow:pow,powStrict:powStrict,squaredDifference:squaredDifference,squaredDifferenceStrict:squaredDifferenceStrict,sub:sub,subStrict:subStrict,elu:elu,leakyRelu:leakyRelu,prelu:prelu,relu:relu,selu:selu,logicalAnd:logicalAnd,logicalNot:logicalNot,logicalOr:logicalOr,logicalXor:logicalXor,where:where,whereAsync:whereAsync,buffer:buffer,toPixels:toPixels,print:print,batchToSpaceND:batchToSpaceND,cast:cast,clone:clone,cumsum:cumsum,depthToSpace:depthToSpace,expandDims:expandDims,eye:eye,fromPixels:fromPixels,multinomial:multinomial,oneHot:oneHot,pad:pad,pad1d:pad1d,pad2d:pad2d,pad3d:pad3d,pad4d:pad4d,rand:rand,randomNormal:randomNormal,randomUniform:randomUniform,reshape:reshape,spaceToBatchND:spaceToBatchND,squeeze:squeeze,stack:stack,tile:tile,truncatedNormal:truncatedNormal,unstack:unstack,setdiff1dAsync:setdiff1dAsync,fill:fill,linspace:linspace,ones:ones$1,range:range,scalar:scalar,tensor:tensor,tensor1d:tensor1d,tensor2d:tensor2d,tensor3d:tensor3d,tensor4d:tensor4d,tensor5d:tensor5d,tensor6d:tensor6d,zeros:zeros,onesLike:onesLike,zerosLike:zerosLike,transpose:transpose,softmax:softmax,logSoftmax:logSoftmax,localResponseNormalization:localResponseNormalization,norm:norm,gather:gather,unsortedSegmentSum:unsortedSegmentSum,basicLSTMCell:basicLSTMCell,multiRNNCell:multiRNNCell,movingAverage:movingAverage,stridedSlice:stridedSlice,topk:topk,scatterND:scatterND,fft:fft,ifft:ifft,rfft:rfft,sparseToDense:sparseToDense,gatherND:gatherND}),MathBackendCPU=function(){function e(){this.blockSize=48,this.firstUse=!0,ENV.get(\"IS_BROWSER\")&&(this.fromPixels2DContext=document.createElement(\"canvas\").getContext(\"2d\"))}return e.prototype.setDataMover=function(e){this.data=new DataStorage(e)},e.prototype.register=function(e,t,r){if(this.firstUse&&(this.firstUse=!1,ENV.get(\"IS_NODE\")&&warn(\"\\n============================\\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\\n============================\\n\")),this.data.has(e))throw new Error(\"Data buffer is already registered\");this.data.set(e,{dtype:r})},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendCPU.write(): values can not be null\");this.data.get(e).values=t},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var r,n;if(ENV.get(\"IS_NODE\")&&null==e.getContext)throw new Error(\"When running in node, pixels must be an HTMLCanvasElement like the one returned by the `canvas` npm package\");if(null!=e.getContext)r=e.getContext(\"2d\").getImageData(0,0,e.width,e.height).data;else if(e instanceof ImageData)r=e.data;else{if(!(e instanceof HTMLImageElement||e instanceof HTMLVideoElement))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(null==this.fromPixels2DContext)throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");this.fromPixels2DContext.canvas.width=e.width,this.fromPixels2DContext.canvas.height=e.height,this.fromPixels2DContext.drawImage(e,0,0,e.width,e.height),r=this.fromPixels2DContext.getImageData(0,0,e.width,e.height).data}if(4===t)n=new Int32Array(r);else{var o=e.width*e.height;n=new Int32Array(o*t);for(var a=0;a<o;a++)for(var i=0;i<t;++i)n[a*t+i]=r[4*a+i]}return tensor3d(n,[e.height,e.width,t],\"int32\")},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.readSync(e)]})})},e.prototype.readSync=function(e){var t=this.data.get(e),r=t.dtype,n=t.complexTensors;return\"complex64\"===r?mergeRealAndImagArrays(n.real.dataSync(),n.imag.dataSync()):this.data.get(e).values},e.prototype.disposeData=function(e){if(this.data.has(e)){var t=this.data.get(e).complexTensors;null!=t&&(t.real.dispose(),t.imag.dispose()),this.data.delete(e)}},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(r){return t=now(),e(),[2,{kernelMs:now()-t}]})})},e.prototype.memory=function(){return{unreliable:!0}},e.prototype.complex=function(e,t){var r=Tensor.make(e.shape,{},\"complex64\");return this.data.get(r.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},r},e.prototype.real=function(e){return this.data.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.data.get(e.dataId).complexTensors.imag.clone()},e.prototype.assertNotComplex=function(e,t){Array.isArray(e)||(e=[e]),e.forEach(function(e){null!=e&&assert(\"complex64\"!==e.dtype,t+\" does not support complex64 tensors.\")})},e.prototype.slice=function(e,t,r){this.assertNotComplex(e,\"slice\");for(var n=buffer(r,e.dtype),o=0;o<n.size;++o){var a=n.indexToLoc(o),i=a.map(function(e,r){return e+t[r]});n.set.apply(n,[e.get.apply(e,i)].concat(a))}return n.toTensor()},e.prototype.stridedSlice=function(e,t,r,n,o,a,i,s,u){this.assertNotComplex(e,\"stridedSlice\");var l=getStridedSlicedInfo(e.shape,t,r,n,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);for(var f=buffer(p,e.dtype),m=0;m<f.size;m++){for(var g=f.indexToLoc(m),v=new Array(g.length),y=0;y<v.length;y++)v[y]=g[y]*n[y]+c[y];f.set.apply(f,[e.get.apply(e,v)].concat(g))}return f.toTensor().reshape(h)},e.prototype.reverse=function(e,t){this.assertNotComplex(e,\"reverse\");for(var r=buffer(e.shape,e.dtype),n=e.buffer(),o=function(o){var a=r.indexToLoc(o),i=a.slice();t.forEach(function(t){return i[t]=e.shape[t]-1-i[t]}),r.set.apply(r,[n.get.apply(n,i)].concat(a))},a=0;a<r.size;a++)o(a);return r.toTensor()},e.prototype.concat=function(e,t){this.assertNotComplex(e,\"concat\");var r=e.map(function(e){var r=sizeFromShape(e.shape.slice(t));return e.as2D(-1,r)}),n=computeOutShape(r.map(function(e){return e.shape}),1),o=buffer(n,e[0].dtype).values;if(1===r[0].shape[0]){var a=0;r.forEach(function(e){o.set(e.dataSync(),a),a+=e.size})}else{var i=0;r.forEach(function(e){for(var t=e.dataSync(),r=0,a=0;a<e.shape[0];++a)for(var s=a*n[1]+i,u=0;u<e.shape[1];++u)o[s+u]=t[r++];i+=e.shape[1]})}var s=computeOutShape(e.map(function(e){return e.shape}),t);return tensor(o,s,e[0].dtype)},e.prototype.neg=function(e){return this.assertNotComplex(e,\"neg\"),this.multiply(scalar(-1),e)},e.prototype.add=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,r,n){return{real:e+r,imag:t+n}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e+t})},e.prototype.addN=function(e){this.assertNotComplex(e,\"addN\");for(var t=e.map(function(e){return e.dataSync()}),r=buffer(e[0].shape,e[0].dtype),n=r.values,o=0;o<e.length;o++)for(var a=t[o],i=0;i<n.length;i++)n[i]+=a[i];return r.toTensor()},e.prototype.subtract=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,r,n){return{real:e-r,imag:t-n}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e-t})},e.prototype.pow=function(e,t){return this.assertNotComplex([e,t],\"pow\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.pow(e,t)})},e.prototype.batchMatMul=function(e,t,r,n){this.assertNotComplex([e,t],\"matMul\");for(var o=r?e.shape[1]:e.shape[2],a=r?e.shape[2]:e.shape[1],i=n?t.shape[1]:t.shape[2],s=e.shape[0],u=e.dataSync(),l=t.dataSync(),c=r?[e.strides[0],1,e.strides[1]]:[e.strides[0],e.strides[1],1],p=c[0],d=c[1],h=c[2],f=n?[1,t.strides[1],t.strides[0]]:[t.strides[1],1,t.strides[0]],m=f[0],g=f[1],v=f[2],y=a*i,x=new Float32Array(s*y),T=this.blockSize,E=0;E<s;E++)for(var w=0;w<a;w+=T)for(var S=0;S<i;S+=T)for(var b=0;b<o;b+=T)for(var C=Math.min(w+T,a),_=Math.min(S+T,i),A=Math.min(b+T,o),N=w;N<C;N++)for(var R=S;R<_;R++){for(var I=0,k=b;k<A;k++)I+=u[E*p+N*d+k*h]*l[k*m+R*g+E*v];x[E*y+(N*i+R)]+=I}return tensor3d(x,[s,a,i])},e.prototype.multiply=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,r,n){return{real:e*r-t*n,imag:e*n+t*r}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e*t})},e.prototype.realDivide=function(e,t){this.assertNotComplex([e,t],\"realDivide\");return this.broadcastedBinaryOp(e,t,\"float32\",function(e,t){return e/t})},e.prototype.floorDiv=function(e,t){this.assertNotComplex([e,t],\"floorDiv\");return this.broadcastedBinaryOp(e,t,\"int32\",function(e,t){return Math.floor(e/t)})},e.prototype.sum=function(e,t){this.assertNotComplex(e,\"sum\"),assertAxesAreInnerMostDims(\"sum\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,upcastType(e.dtype,\"int32\")),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=0,d=0;d<i;++d)p+=u[c+d];s[l]=p}return a},e.prototype.prod=function(e,t){this.assertNotComplex(e,\"sum\");for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,upcastType(e.dtype,\"int32\")),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=1,d=0;d<i;++d)p*=u[c+d];s[l]=p}return a},e.prototype.unsortedSegmentSum=function(e,t,r){this.assertNotComplex(e,\"unsortedSegmentSum\");for(var n=[],o=e.rank-t.rank,a=0;a<o;++a)t=t.expandDims(a+1);for(a=0;a<r;++a){var i=scalar(a,\"int32\"),s=equal(i,t).asType(\"float32\").mul(e).sum(0);n.push(s)}return stack(n)},e.prototype.argMin=function(e,t){this.assertNotComplex(e,\"argMin\");var r=[t];assertAxesAreInnerMostDims(\"argMin\",r,e.rank);for(var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=n[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m<d&&(d=m,h=f)}u[c]=h}return i},e.prototype.argMax=function(e,t){this.assertNotComplex(e,\"argMax\");var r=[t];assertAxesAreInnerMostDims(\"argMax\",r,e.rank);for(var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=n[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m>d&&(d=m,h=f)}u[c]=h}return i},e.prototype.cumsum=function(e,t,r,n){if(this.assertNotComplex(e,\"cumsum\"),t!==e.rank-1)throw new Error(\"backend.cumsum in CPU expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);for(var o=upcastType(e.dtype,\"int32\"),a=zeros(e.shape,o),i=a.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=n?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var p=0;p<u;p++){var d=l(c,p);if(0===p)i[d]=r?0:s[d];else{var h=l(c,p-1);i[d]=r?s[h]+i[h]:s[d]+i[h]}}return a},e.prototype.equal=function(e,t){return this.assertNotComplex([e,t],\"equal\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.assertNotComplex([e,t],\"notEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.assertNotComplex([e,t],\"less\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.assertNotComplex([e,t],\"lessEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.assertNotComplex([e,t],\"greater\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.assertNotComplex([e,t],\"greaterEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){this.assertNotComplex(e,\"logicalNot\");for(var t=e.dataSync(),r=new Int32Array(t.length),n=0;n<t.length;++n)r[n]=t[n]?0:1;return Tensor.make(e.shape,{values:r},\"bool\")},e.prototype.logicalAnd=function(e,t){return this.assertNotComplex([e,t],\"logicalAnd\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.assertNotComplex([e,t],\"logicalOr\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e||t})},e.prototype.select=function(e,t,r){this.assertNotComplex([e,t,r],\"select\");for(var n=e.dataSync(),o=t.dataSync(),a=r.dataSync(),i=zeros(t.shape,upcastType(t.dtype,r.dtype)),s=i.dataSync(),u=0,l=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],c=0;c<n.length;c++)for(var p=0;p<l;p++)1===n[c]?s[u++]=o[c]:s[u++]=a[c];return i},e.prototype.where=function(e){this.assertNotComplex([e],\"where\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,r){return this.assertNotComplex(e,\"topk\"),topkImpl(e.dataSync(),e.shape,e.dtype,t,r)},e.prototype.min=function(e,t){this.assertNotComplex(e,\"min\"),assertAxesAreInnerMostDims(\"min\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h<p&&(p=h)}s[l]=p}return a},e.prototype.minimum=function(e,t){return this.assertNotComplex([e,t],\"minimum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.assertNotComplex([e,t],\"mod\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var r=e%t;return e<0&&t<0||e>=0&&t>=0?r:(r+t)%t})},e.prototype.max=function(e,t){this.assertNotComplex(e,\"max\"),assertAxesAreInnerMostDims(\"max\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h>p&&(p=h)}s[l]=p}return a},e.prototype.maximum=function(e,t){return this.assertNotComplex([e,t],\"maximum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){this.assertNotComplex(e,\"all\"),assertAxesAreInnerMostDims(\"all\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p&&h}s[l]=p}return a},e.prototype.any=function(e,t){this.assertNotComplex(e,\"any\"),assertAxesAreInnerMostDims(\"any\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p||h}s[l]=p}return a},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],\"squaredDifference\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var r=e-t;return r*r})},e.prototype.ceil=function(e){this.assertNotComplex(e,\"ceil\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.ceil(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.floor=function(e){this.assertNotComplex(e,\"floor\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.floor(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.sign=function(e){this.assertNotComplex(e,\"x\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)t[n]<0?r[n]=-1:t[n]>0?r[n]=1:r[n]=0;return Tensor.make(e.shape,{values:r})},e.prototype.round=function(e){this.assertNotComplex(e,\"round\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=Math.floor(t[n]);t[n]-o<.5?r[n]=Math.floor(t[n]):t[n]-o>.5?r[n]=Math.ceil(t[n]):r[n]=o%2==0?o:o+1}return Tensor.make(e.shape,{values:r})},e.prototype.exp=function(e){this.assertNotComplex(e,\"exp\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.exp(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.expm1=function(e){this.assertNotComplex(e,\"expm1\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.expm1(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.log=function(e){this.assertNotComplex(e,\"log\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=Math.log(o)}return Tensor.make(e.shape,{values:r})},e.prototype.log1p=function(e){this.assertNotComplex(e,\"log1p\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=Math.log1p(o)}return Tensor.make(e.shape,{values:r})},e.prototype.sqrt=function(e){this.assertNotComplex(e,\"sqrt\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=Math.sqrt(o)}return Tensor.make(e.shape,{values:r})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,\"rsqrt\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=1/Math.sqrt(o)}return Tensor.make(e.shape,{values:r})},e.prototype.square=function(e){this.assertNotComplex(e,\"square\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=o*o}return Tensor.make(e.shape,{values:r})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,\"reciprocal\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=1/t[n];return Tensor.make(e.shape,{values:r})},e.prototype.relu=function(e){this.assertNotComplex(e,\"relu\");for(var t=zeros(e.shape,e.dtype),r=t.dataSync(),n=e.dataSync(),o=0;o<n.length;++o)r[o]=Math.max(0,n[o]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,\"elu\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n){var o=r[n];t[n]=o>=0?o:Math.exp(o)-1}return Tensor.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],\"eluDer\");for(var r=new Float32Array(t.size),n=t.dataSync(),o=e.dataSync(),a=0;a<n.length;++a){var i=n[a];r[a]=i>=1?o[a]:o[a]*(i+1)}return Tensor.make(t.shape,{values:r})},e.prototype.selu=function(e){this.assertNotComplex(e,\"selu\");for(var t=SELU_SCALEALPHA,r=SELU_SCALE,n=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];n[a]=i>=0?r*i:t*(Math.exp(i)-1)}return Tensor.make(e.shape,{values:n})},e.prototype.clip=function(e,t,r){this.assertNotComplex(e,\"clip\");for(var n=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];n[a]=i>r?r:i<t?t:i}return Tensor.make(e.shape,{values:n})},e.prototype.abs=function(e){for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.abs(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.complexAbs=function(e){for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<e.size;++n){var o=r[2*n],a=r[2*n+1];t[n]=Math.sqrt(o*o+a*a)}return Tensor.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,\"int\");for(var t=new Int32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=r[n];return Tensor.make(e.shape,{values:t},\"int32\")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,\"sigmoid\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=1/(1+Math.exp(-r[n]));return Tensor.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,\"softplus\");for(var t=Math.log(1.1920928955078125e-7)+2,r=new Float32Array(e.size),n=e.dataSync(),o=0;o<n.length;++o){var a=n[o]>-t,i=n[o]<t,s=Math.exp(n[o]),u=void 0;u=i?s:a?n[o]:Math.log(1+s),r[o]=u}return Tensor.make(e.shape,{values:r})},e.prototype.sin=function(e){this.assertNotComplex(e,\"sin\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.sin(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,\"cos\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.cos(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,\"tan\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.tan(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,\"asin\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.asin(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,\"acos\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.acos(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,\"atan\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.atan(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],\"atan2\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,\"sinh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.sinh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,\"cosh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.cosh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,\"tanh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=tanh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,\"asinh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.asinh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,\"acosh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.acosh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,\"atanh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.atanh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,\"erf\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=ERF_P,o=ERF_A1,a=ERF_A2,i=ERF_A3,s=ERF_A4,u=ERF_A5,l=0;l<r.length;++l){var c=r[l],p=1/(1+n*c);t[l]=1-((((u*p+s)*p+i)*p+a)*p+o)*p*Math.exp(-c*c)}return Tensor.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,\"step\");for(var r=new Float32Array(e.size),n=e.dataSync(),o=0;o<n.length;++o){var a=n[o];isNaN(a)?r[o]=NaN:r[o]=a>0?1:t}return Tensor.make(e.shape,{values:r})},e.prototype.conv2d=function(e,t,r){this.assertNotComplex([e,t],\"conv2d\");for(var n=r.filterHeight,o=r.filterWidth,a=r.dilationHeight,i=r.dilationWidth,s=r.padInfo.left,u=r.padInfo.top,l=buffer(r.outShape,e.dtype),c=e.dataSync(),p=t.dataSync(),d=l.values,h=0;h<r.batchSize;++h)for(var f=h*e.strides[0],m=h*l.strides[0],g=0;g<r.outHeight;++g)for(var v=m+g*l.strides[1],y=g*r.strideHeight-s,x=0;x<n;x++){var T=y+x*a;if(!(T<0||T>=r.inHeight))for(var E=x*t.strides[0],w=f+T*e.strides[1],S=0;S<r.outWidth;++S)for(var b=v+S*r.outChannels,C=S*r.strideWidth-u,_=0;_<o;_++){var A=C+_*i;if(!(A<0||A>=r.inWidth))for(var N=E+_*t.strides[1],R=w+A*r.inChannels,I=N,k=0;k<r.inChannels;++k){for(var D=c[R+k],M=0;M<r.outChannels;++M)d[b+M]+=D*p[I+M];I+=r.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,r){this.assertNotComplex([e,t],\"conv2dDerInput\");for(var n=buffer(r.inShape,\"float32\"),o=n.values,a=n.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],y=m[2],x=r.batchSize,T=r.filterHeight,E=r.filterWidth,w=r.inChannels,S=r.inHeight,b=r.inWidth,C=r.outChannels,_=r.outHeight,A=r.outWidth,N=r.strideHeight,R=r.strideWidth,I=T-1-r.padInfo.top,k=E-1-r.padInfo.left,D=0;D<x;++D)for(var M=0;M<w;++M)for(var O=0;O<S;++O)for(var P=O-I,F=Math.max(0,Math.ceil(P/N)),L=Math.min(_,(T+P)/N),B=0;B<b;++B){for(var U=B-k,z=Math.max(0,Math.ceil(U/R)),V=Math.min(A,(E+U)/R),H=0,G=F;G<L;++G)for(var W=G*N-P,q=z;q<V;++q)for(var $=p*D+d*G+h*q,X=g*(T-1-W)+v*(E-1-(q*R-U))+y*M,K=0;K<C;++K){H+=l[$+K]*f[X+K]}o[i*D+s*O+u*B+M]=H}return n.toTensor()},e.prototype.conv2dDerFilter=function(e,t,r){this.assertNotComplex([e,t],\"conv2dDerFilter\");for(var n=r.strideHeight,o=r.strideWidth,a=r.filterHeight,i=r.filterWidth,s=buffer(r.filterShape,\"float32\"),u=r.padInfo.left,l=r.padInfo.top,c=0;c<a;++c)for(var p=Math.max(0,Math.ceil((l-c)/n)),d=Math.min(r.outHeight,(r.inHeight+l-c)/n),h=0;h<i;++h)for(var f=Math.max(0,Math.ceil((u-h)/o)),m=Math.min(r.outWidth,(r.inWidth+u-h)/o),g=0;g<r.inChannels;++g)for(var v=0;v<r.outChannels;++v){for(var y=0,x=0;x<r.batchSize;++x)for(var T=p;T<d;++T)for(var E=c+T*n-l,w=f;w<m;++w){var S=h+w*o-u;y+=e.get(x,E,S,g)*t.get(x,T,w,v)}s.set(y,c,h,g,v)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,r){this.assertNotComplex([e,t],\"depthwiseConv2D\");for(var n=r.filterHeight,o=r.filterWidth,a=r.dilationHeight,i=r.dilationWidth,s=r.padInfo.left,u=r.padInfo.top,l=r.outChannels/r.inChannels,c=buffer(r.outShape,e.dtype),p=e.dataSync(),d=t.dataSync(),h=c.values,f=0;f<r.batchSize;++f)for(var m=f*e.strides[0],g=f*c.strides[0],v=0;v<r.outHeight;++v)for(var y=g+v*c.strides[1],x=v*r.strideHeight-s,T=0;T<n;++T){var E=x+T*a;if(!(E<0||E>=r.inHeight))for(var w=T*t.strides[0],S=m+E*e.strides[1],b=0;b<r.outWidth;++b)for(var C=y+b*c.strides[2],_=b*r.strideWidth-u,A=0;A<o;++A){var N=_+A*i;if(!(N<0||N>=r.inWidth))for(var R=w+A*t.strides[1],I=S+N*r.inChannels,k=C,D=R,M=0;M<r.inChannels;++M){for(var O=p[I+M],P=0;P<l;++P)h[k+P]+=O*d[D+P];k+=l,D+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,r){this.assertNotComplex([e,t],\"depthwiseConv2DDerInput\");for(var n=buffer(r.inShape,\"float32\"),o=n.values,a=n.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],y=m[2],x=r.batchSize,T=r.filterHeight,E=r.filterWidth,w=r.inChannels,S=r.inHeight,b=r.inWidth,C=r.outChannels,_=r.outHeight,A=r.outWidth,N=r.strideHeight,R=r.strideWidth,I=T-1-r.padInfo.top,k=E-1-r.padInfo.left,D=C/w,M=0;M<x;++M)for(var O=0;O<w;++O)for(var P=0;P<S;++P)for(var F=P-I,L=Math.max(0,Math.ceil(F/N)),B=Math.min(_,(T+F)/N),U=0;U<b;++U){for(var z=U-k,V=Math.max(0,Math.ceil(z/R)),H=Math.min(A,(E+z)/R),G=0,W=L;W<B;++W)for(var q=W*N-F,$=V;$<H;++$)for(var X=p*M+d*W+h*$,K=g*(T-1-q)+v*(E-1-($*R-z))+y*O,j=0;j<D;++j){G+=l[X+(O*D+j)]*f[K+j]}o[i*M+s*P+u*U+O]=G}return n.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,r){this.assertNotComplex([e,t],\"depthwiseConv2DDerFilter\");for(var n=r.strideHeight,o=r.strideWidth,a=r.filterHeight,i=r.filterWidth,s=buffer(r.filterShape,\"float32\"),u=r.padInfo.left,l=r.padInfo.top,c=r.outChannels/r.inChannels,p=0;p<a;++p)for(var d=Math.max(0,Math.ceil((l-p)/n)),h=Math.min(r.outHeight,(r.inHeight+l-p)/n),f=0;f<i;++f)for(var m=Math.max(0,Math.ceil((u-f)/o)),g=Math.min(r.outWidth,(r.inWidth+u-f)/o),v=0;v<r.outChannels;++v){for(var y=Math.trunc(v/c),x=v%c,T=0,E=0;E<r.batchSize;++E)for(var w=d;w<h;++w)for(var S=p+w*n-l,b=m;b<g;++b){var C=f+b*o-u;T+=e.get(E,S,C,y)*t.get(E,w,b,v)}s.set(T,p,f,y,x)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,\"tile\");for(var r=new Array(e.rank),n=0;n<r.length;n++)r[n]=e.shape[n]*t[n];var o=buffer(r,e.dtype),a=e.buffer();for(n=0;n<o.values.length;++n){for(var i=o.indexToLoc(n),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=i[u]%e.shape[u];var l=a.locToIndex(s);o.values[n]=a.values[l]}return o.toTensor()},e.prototype.pad=function(e,t,r){this.assertNotComplex(e,\"pad\");var n=t.map(function(t,r){return t[0]+e.shape[r]+t[1]}),o=t.map(function(e){return e[0]}),a=e.buffer(),i=buffer(n,e.dtype);0!==r&&i.values.fill(r);for(var s=0;s<e.size;s++){var u=a.indexToLoc(s),l=u.map(function(e,t){return e+o[t]});i.set.apply(i,[e.get.apply(e,u)].concat(l))}return i.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,\"transpose\");for(var r=new Array(e.rank),n=0;n<r.length;n++)r[n]=e.shape[t[n]];var o=e.dataSync(),a=buffer(r,e.dtype),i=e.buffer();for(n=0;n<e.size;++n){for(var s=i.indexToLoc(n),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=a.locToIndex(u);a.values[c]=o[n]}return a.toTensor()},e.prototype.gather=function(e,t,r){this.assertNotComplex([e,t],\"gather\");var n=e.shape.slice(),o=t.dataSync();n[r]=o.length;for(var a=buffer(n,e.dtype),i=e.buffer(),s=0;s<a.size;++s){var u=a.indexToLoc(s),l=u.slice();l[r]=o[u[r]];var c=i.locToIndex(l);a.values[s]=i.values[c]}return a.toTensor()},e.prototype.batchToSpaceND=function(e,t,r){this.assertNotComplex([e],\"batchToSpaceND\");var n=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,n),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,n),s=getSliceBeginCoords(r,t.length),u=getSliceSize(i,r,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,r){this.assertNotComplex([e],\"spaceToBatchND\");var n=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,r);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,n,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,n,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,r){this.assertNotComplex(e,\"pool\");for(var n=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,p=\"max\"===r?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,d=e.dataSync(),h=buffer(t.outShape,e.dtype),f=h.values,m=t.outShape[1]*t.outShape[2]*t.outShape[3],g=t.outShape[2]*t.outShape[3],v=t.outShape[3],y=0;y<t.batchSize;++y)for(var x=y*m,T=y*e.strides[0],E=0;E<t.inChannels;++E)for(var w=0;w<t.outHeight;++w)for(var S=w*n-l,b=Math.max(0,S),C=Math.min(t.inHeight,s+S),_=x+w*g,A=0;A<t.outWidth;++A){for(var N=A*o-c,R=Math.max(0,N),I=Math.min(t.inWidth,u+N),k=p,D=0,M=0,O=b;O<C;O+=a){for(var P=T+O*e.strides[1],F=R;F<I;F+=i){var L=d[P+F*e.strides[2]+E];\"max\"===r&&L>k?k=L:\"avg\"===r&&(D+=L,M++)}if(isNaN(k))break}f[_+A*v+E]=\"avg\"===r?D/M:k}return h.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,\"max\")},e.prototype.maxPoolPositions=function(e,t){for(var r=buffer(t.outShape,\"int32\"),n=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,p=0;p<t.batchSize;++p)for(var d=0;d<t.inChannels;++d)for(var h=0;h<t.outHeight;++h){for(var f=h*n-l,m=f;m<0;)m+=a;for(var g=Math.min(t.inHeight,s+f),v=0;v<t.outWidth;++v){for(var y=v*o-c,x=y;x<0;)x+=i;for(var T=Math.min(t.inWidth,u+y),E=Number.NEGATIVE_INFINITY,w=-1,S=m;S<g;S+=a)for(var b=S-f,C=x;C<T;C+=i){var _=C-y,A=e.get(p,S,C,d);A>E&&(E=A,w=b*u+_)}r.set(w,p,h,v,d)}}return r.toTensor()},e.prototype.maxPoolBackprop=function(e,t,r,n){this.assertNotComplex([t,r],\"maxPoolBackprop\");for(var o=this.maxPoolPositions(t,n),a=n.strideHeight,i=n.strideWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,p=c-1-n.padInfo.left,d=l-1-n.padInfo.top,h=buffer(t.shape,\"float32\"),f=0;f<n.batchSize;++f)for(var m=0;m<n.inChannels;++m)for(var g=0;g<n.inHeight;++g)for(var v=0;v<n.inWidth;++v){for(var y=g-d,x=v-p,T=0,E=0;E<l;E+=s){var w=(y+E)/a;if(!(w<0||w>=n.outHeight||Math.floor(w)!==w))for(var S=0;S<c;S+=u){var b=(x+S)/i;if(!(b<0||b>=n.outWidth||Math.floor(b)!==b)){var C=l*c-1-o.get(f,w,b,m)===E*c+S?1:0;if(0!==C)T+=e.get(f,w,b,m)*C}}}h.set(T,f,g,v,m)}return h.toTensor()},e.prototype.avgPoolBackprop=function(e,t,r){this.assertNotComplex([e,t],\"avgPoolBackprop\");for(var n=r.strideHeight,o=r.strideWidth,a=r.filterHeight,i=r.filterWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,p=c-1-r.padInfo.left,d=l-1-r.padInfo.top,h=buffer(t.shape,\"float32\"),f=1/(a*i),m=0;m<r.batchSize;++m)for(var g=0;g<r.inChannels;++g)for(var v=0;v<r.inHeight;++v)for(var y=0;y<r.inWidth;++y){for(var x=v-d,T=y-p,E=0,w=0;w<l;w+=s){var S=(x+w)/n;if(!(S<0||S>=r.outHeight||Math.floor(S)!==S))for(var b=0;b<c;b+=u){var C=(T+b)/o;if(!(C<0||C>=r.outWidth||Math.floor(C)!==C))E+=e.get(m,S,C,g)}}h.set(E*f,m,v,y,g)}return h.toTensor()},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,\"avgPool\"),this.pool(e,t,\"avg\").toFloat()},e.prototype.resizeBilinear=function(e,t,r,n){this.assertNotComplex(e,\"resizeBilinear\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=e.dataSync(),c=new Float32Array(sizeFromShape([a,t,r,u])),p=[n&&t>1?i-1:i,n&&r>1?s-1:s],d=[n&&t>1?t-1:t,n&&r>1?r-1:r],h=0,f=p[0]/d[0],m=p[1]/d[1],g=0;g<a;g++)for(var v=0;v<t;v++)for(var y=f*v,x=Math.floor(y),T=y-x,E=Math.min(i-1,Math.ceil(y)),w=g*e.strides[0]+x*e.strides[1],S=g*e.strides[0]+E*e.strides[1],b=0;b<r;b++)for(var C=m*b,_=Math.floor(C),A=C-_,N=Math.min(s-1,Math.ceil(C)),R=w+_*e.strides[2],I=S+_*e.strides[2],k=w+ +N*e.strides[2],D=S+N*e.strides[2],M=0;M<u;M++){var O=l[R+M],P=l[I+M],F=O+(l[k+M]-O)*A,L=F+(P+(l[D+M]-P)*A-F)*T;c[h++]=L}return tensor(c,[a,t,r,u])},e.prototype.resizeBilinearBackprop=function(e,t,r){this.assertNotComplex([e,t],\"resizeBilinearBackprop\");for(var n=t.shape,o=n[0],a=n[1],i=n[2],s=n[3],u=e.shape,l=u[1],c=u[2],p=new Float32Array(o*a*i*s),d=[r&&l>1?a-1:a,r&&c>1?i-1:i],h=[r&&l>1?l-1:l,r&&c>1?c-1:c],f=d[0]/h[0],m=d[1]/h[1],g=e.dataSync(),v=0,y=0;y<o;y++)for(var x=y*t.strides[0],T=0;T<l;T++)for(var E=T*f,w=Math.floor(E),S=Math.min(Math.ceil(E),a-1),b=x+w*t.strides[1],C=x+S*t.strides[1],_=E-w,A=1-_,N=0;N<c;N++)for(var R=N*m,I=Math.floor(R),k=Math.min(Math.ceil(R),i-1),D=R-I,M=1-D,O=b+I*t.strides[2],P=b+k*t.strides[2],F=C+I*t.strides[2],L=C+k*t.strides[2],B=A*M,U=A*D,z=_*M,V=_*D,H=0;H<s;H++){var G=g[v++];p[O+H]+=G*B,p[P+H]+=G*U,p[F+H]+=G*z,p[L+H]+=G*V}return tensor4d(p,[o,i,a,s],t.dtype)},e.prototype.resizeNearestNeighbor=function(e,t,r,n){this.assertNotComplex(e,\"resizeNearestNeighbor\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=e.dataSync(),c=new Float32Array(a*t*r*u),p=[n&&t>1?i-1:i,n&&r>1?s-1:s],d=[n&&t>1?t-1:t,n&&r>1?r-1:r],h=p[0]/d[0],f=p[1]/d[1],m=0,g=0;g<a;g++)for(var v=g*e.strides[0],y=0;y<t;y++)for(var x=h*y,T=v+Math.min(i-1,n?Math.round(x):Math.floor(x))*e.strides[1],E=0;E<r;E++)for(var w=f*E,S=T+Math.min(s-1,n?Math.round(w):Math.floor(w))*e.strides[2],b=0;b<u;b++){var C=l[S+b];c[m++]=C}return tensor(c,[a,t,r,u],e.dtype)},e.prototype.resizeNearestNeighborBackprop=function(e,t,r){this.assertNotComplex([e,t],\"resizeNearestNeighborBackprop\");for(var n=t.shape,o=n[0],a=n[1],i=n[2],s=n[3],u=e.shape,l=u[1],c=u[2],p=new Float32Array(o*a*i*s),d=e.dataSync(),h=[r&&l>1?a-1:a,r&&c>1?i-1:i],f=[r&&l>1?l-1:l,r&&c>1?c-1:c],m=h[0]/f[0],g=h[1]/f[1],v=1/m,y=1/g,x=2*Math.ceil(v)+2,T=2*Math.ceil(y)+2,E=0;E<o;E++)for(var w=E*t.strides[0],S=0;S<a;S++)for(var b=w+S*t.strides[1],C=Math.floor(S*v),_=Math.floor(C-x/2),A=0;A<i;A++)for(var N=b+A*t.strides[2],R=Math.floor(A*y),I=Math.floor(R-T/2),k=0;k<s;k++){for(var D=0,M=0;M<x;M++){var O=M+_;if(!(O<0||O>=l)){var P=w+O*e.strides[1],F=O*m;if(S===Math.min(a-1,r?Math.round(F):Math.floor(F)))for(var L=0;L<T;L++){var B=L+I;if(!(B<0||B>=c)){var U=P+B*e.strides[2],z=B*g;A===Math.min(i-1,r?Math.round(z):Math.floor(z))&&(D+=d[U+k])}}}}p[N+k]=D}return tensor4d(p,t.shape,t.dtype)},e.prototype.batchNormalization=function(e,t,r,n,o,a){this.assertNotComplex([e,t,r,o,a],\"batchNormalization\");for(var i=e.dataSync(),s=t.dataSync(),u=r.dataSync(),l=o?o.dataSync():new Float32Array([1]),c=a?a.dataSync():new Float32Array([0]),p=new Float32Array(i.length),d=c.length,h=l.length,f=u.length,m=s.length,g=0,v=0,y=0,x=0,T=0;T<i.length;++T)p[T]=c[g++]+(i[T]-s[v++])*l[y++]/Math.sqrt(u[x++]+n),g>=d&&(g=0),v>=m&&(v=0),y>=h&&(y=0),x>=f&&(x=0);return tensor4d(p,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,r,n,o){this.assertNotComplex(e,\"localResponseNormalization4D\");var a=e.shape[3],i=a-1,s=e.dataSync(),u=sizeFromShape(e.shape),l=new Float32Array(u);function c(e){for(var r=e%a,n=e-r+Math.max(0,r-t),o=e-r+Math.min(r+t,i),u=0;n<=o;n++){var l=s[n];u+=l*l}return u}for(var p=0;p<u;p++){var d=c(p),h=s[p]*Math.pow(r+n*d,-o);l[p]=h}return tensor4d(l,e.shape)},e.prototype.LRNGrad=function(e,t,r,n,o,a,i){this.assertNotComplex(e,\"LRNGrad\");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=r.dataSync(),p=new Float32Array(sizeFromShape(e.shape)),d=sizeFromShape(e.shape),h=0;h<d;h++){for(var f=h%s,m=h-f+Math.max(0,f-n),g=h-f+Math.min(s,f+n+1),v=0,y=m;y<g;y++)v+=Math.pow(l[y],2);v=a*v+o;for(y=m;y<g;y++){var x=-2*a*i*l[y]*c[h]/v;h===y&&(x+=Math.pow(v,-i)),x*=u[h],p[y]+=x}}return tensor4d(p,e.shape)},e.prototype.multinomial=function(e,t,r,n){this.assertNotComplex(e,\"multinomial\");for(var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=zeros([a,r],\"int32\"),u=s.dataSync(),l=o.dataSync(),c=0;c<a;++c){var p=c*i,d=new Float32Array(i-1);d[0]=l[p];for(var h=1;h<d.length;++h)d[h]=d[h-1]+l[p+h];for(var f=seedrandom_1(n.toString()),m=c*r,g=0;g<r;++g){var v=f();u[m+g]=d.length;for(var y=0;y<d.length;y++)if(v<d[y]){u[m+g]=y;break}}}return s},e.prototype.oneHot=function(e,t,r,n){this.assertNotComplex(e,\"oneHot\");var o=new Float32Array(e.size*t);o.fill(n);for(var a=0;a<e.size;++a)e.get(a)>=0&&e.get(a)<t&&(o[a*t+e.get(a)]=r);return tensor2d(o,[e.size,t],\"int32\")},e.prototype.nonMaxSuppression=function(e,t,r,n,o){return this.assertNotComplex(e,\"nonMaxSuppression\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),r,n,o)},e.prototype.fft=function(e){if(1!==e.shape[0])throw new Error(\"tf.fft() on CPU only supports vectors.\");return this.fftImpl(e,!1)},e.prototype.ifft=function(e){if(1!==e.shape[0])throw new Error(\"tf.ifft() on CPU only supports vectors.\");return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var r=e.as1D(),n=r.size;if(this.isExponentOf2(n)){var o=this.fftRadix2(r,n,t).as2D(e.shape[0],e.shape[1]);return t&&(o=complex(real(o).div(scalar(n)),imag(o).div(scalar(n)))),o}var a=e.dataSync(),i=splitRealAndImagArrays(this.fourierTransformByMatmul(a,n,t));return complex(i.real,i.imag).as2D(e.shape[0],e.shape[1])},e.prototype.isExponentOf2=function(e){return 0==(e&e-1)},e.prototype.fftRadix2=function(e,t,r){if(1===t)return e;var n=e.dataSync(),o=t/2,a=complexWithEvenIndex(n),i=complex(a.real,a.imag).as1D(),s=complexWithOddIndex(n),u=complex(s.real,s.imag).as1D();i=this.fftRadix2(i,o,r),u=this.fftRadix2(u,o,r);var l=exponents(t,r),c=complex(l.real,l.imag).mul(u),p=i.add(c),d=i.sub(c),h=real(p).concat(real(d)),f=imag(p).concat(imag(d));return complex(h,f).as1D()},e.prototype.fourierTransformByMatmul=function(e,t,r){for(var n=new Float32Array(2*t),o=0;o<t;o++){for(var a=0,i=0,s=0;s<t;s++){var u=exponent(o*s,t,r),l=getComplexWithIndex(e,s);a+=l.real*u.real-l.imag*u.imag,i+=l.real*u.imag+l.imag*u.real}r&&(a/=t,i/=t),assignToTypedArray(n,a,i,o)}return n},e.prototype.depthToSpace=function(e,t,r){assert(\"NHWC\"===r,\"Only NHWC dataFormat supported on CPU for depthToSpace. Got \"+r),assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);for(var n=e.shape[0],o=e.shape[1],a=e.shape[2],i=e.shape[3],s=o*t,u=a*t,l=i/(t*t),c=e.dataSync(),p=new Float32Array(n*s*u*l),d=0,h=0;h<n;++h)for(var f=0;f<s;++f)for(var m=Math.floor(f/t),g=f%t,v=0;v<u;++v)for(var y=Math.floor(v/t),x=(g*t+v%t)*l,T=0;T<l;++T){var E=T+x+i*(y+a*(m+o*h));p[d++]=c[E]}return tensor4d(p,[n,s,u,l])},e.prototype.broadcastedBinaryOp=function(e,t,r,n){var o=assertAndGetBroadcastShape(e.shape,t.shape),a=buffer(o,r),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,o),l=getBroadcastDims(t.shape,o),c=a.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=n(i[p%i.length],s[p%s.length]);else{var d=e.buffer(),h=t.buffer(),f=function(r){var o=a.indexToLoc(r),p=o.slice(-e.rank);u.forEach(function(e){return p[e]=0});var f=d.locToIndex(p),m=o.slice(-t.rank);l.forEach(function(e){return m[e]=0});var g=h.locToIndex(m);c[r]=n(i[f],s[g])};for(p=0;p<c.length;++p)f(p)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(e,t,r){var n=assertAndGetBroadcastShape(e.shape,t.shape),o=buffer(n,\"float32\"),a=buffer(n,\"float32\"),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,n),l=getBroadcastDims(t.shape,n),c=o.values,p=a.values;if(u.length+l.length===0)for(var d=0;d<c.length;d++){var h=d%i.length,f=d%s.length,m=r(i[2*h],i[2*h+1],s[2*f],s[2*f+1]);c[d]=m.real,p[d]=m.imag}else{var g=this.data.get(e.dataId).complexTensors.real.buffer(),v=this.data.get(t.dataId).complexTensors.real.buffer(),y=function(n){var a=o.indexToLoc(n),d=a.slice(-e.rank);u.forEach(function(e){return d[e]=0});var h=g.locToIndex(d),f=a.slice(-t.rank);l.forEach(function(e){return f[e]=0});var m=v.locToIndex(f),y=r(i[2*h],i[2*h+1],s[2*m],s[2*m+1]);c[n]=y.real,p[n]=y.imag};for(d=0;d<c.length;d++)y(d)}return this.complex(o.toTensor(),a.toTensor())},e.prototype.split=function(e,t,r){return split(e,t,r)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.cropAndResize=function(e,t,r,n,o,a){for(var i=e.shape,s=i[0],u=i[1],l=i[2],c=i[3],p=t.shape[0],d=n[0],h=n[1],f=buffer([p,d,h,c]),m=t.dataSync(),g=r.dataSync(),v=e.dataSync(),y=e.strides,x=f.strides,T=0;T<p;T++){var E=4*T,w=m[E],S=m[E+1],b=m[E+2],C=m[E+3],_=g[T];if(!(_>=s))for(var A=d>1?(b-w)*(u-1)/(d-1):0,N=h>1?(C-S)*(l-1)/(h-1):0,R=0;R<d;R++){var I=d>1?w*(u-1)+R*A:.5*(w+b)*(u-1);if(I<0||I>u-1)for(var k=0;k<h;k++)for(var D=0;D<c;D++){var M=D+k*x[2]+R*x[1]+T*x[0];f.values[M]=a}else if(\"bilinear\"===o){var O=Math.floor(I),P=Math.ceil(I),F=I-O;for(k=0;k<h;k++){if((q=h>1?S*(l-1)+k*N:.5*(S+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+k*x[2]+R*x[1]+T*x[0];f.values[M]=a}else{var L=Math.floor(q),B=Math.ceil(q),U=q-L;for(D=0;D<c;D++){var z=v[M=D+L*y[2]+O*y[1]+_*y[0]],V=v[M=D+B*y[2]+O*y[1]+_*y[0]],H=v[M=D+L*y[2]+P*y[1]+_*y[0]],G=z+(V-z)*U,W=H+(v[M=D+B*y[2]+P*y[1]+_*y[0]]-H)*U;M=D+k*x[2]+R*x[1]+T*x[0],f.values[M]=G+(W-G)*F}}}}else for(k=0;k<h;++k){var q;if((q=h>1?S*(l-1)+k*N:.5*(S+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+k*x[2]+R*x[1]+T*x[0];f.values[M]=a}else{var $=Math.round(q),X=Math.round(I);for(D=0;D<c;D++){var K=D+$*y[2]+X*y[1]+_*y[0],j=D+k*x[2]+R*x[1]+T*x[0];f.values[j]=v[K]}}}}}return f.toTensor()},e.prototype.sparseToDense=function(e,t,r,n){var o=calculateShapes(t,e,r),a=o.sliceRank,i=o.numUpdates,s=o.sliceSize,u=o.strides,l=o.outputSize;return this.scatter(e,t,r,l,s,i,a,u,n,!1)},e.prototype.gatherND=function(e,t){var r=t.shape,n=r[r.length-1],o=prepareAndValidate(e,t),a=o[0],i=o[1],s=o[2],u=o[3];if(0===i)return tensor([],a,e.dtype);for(var l=new TensorBuffer([i,s],e.dtype),c=t.dataSync(),p=e.dataSync(),d=0;d<i;d++){for(var h=[],f=0,m=0;m<n;m++){var g=c[d*n+m];f+=g*u[m],h.push(g)}if(f<0||f>=e.size/s)throw new Error(\"Invalid indices: \"+h+\" does not index into \"+e.shape);for(var v=0;v<s;v++)l.values[d*s+v]=p[f*s+v]}return l.toTensor().reshape(a)},e.prototype.scatterND=function(e,t,r){var n=calculateShapes(t,e,r),o=n.sliceRank,a=n.numUpdates,i=n.sliceSize,s=n.strides,u=n.outputSize,l=scalar(0);return this.scatter(e,t,r,u,i,a,o,s,l,!0)},e.prototype.scatter=function(e,t,r,n,o,a,i,s,u,l){var c=[n/o,o],p=e.dataSync(),d=t.dataSync();if(0===n)return tensor([],r,t.dtype);var h=new TensorBuffer(c,t.dtype);h.values.fill(u.dataSync()[0]);for(var f=0;f<a;f++){for(var m=[],g=0,v=0;v<i;v++){var y=p[f*i+v];m.push(y),g+=y*s[v]}if(g<0||g>=n/o)throw new Error(\"Invalid indices: \"+m+\" does not index into \"+r);for(var x=0;x<o;x++)l?h.values[g*o+x]+=d[f*o+x]:h.values[g*o+x]=0===t.rank?d[0]:d[f*o+x]}return h.toTensor().reshape(r)},e}();ENV.registerBackend(\"cpu\",function(){return new MathBackendCPU},1,setTensorTracker);var delayCallback=\"undefined\"!=typeof requestAnimationFrame?requestAnimationFrame:setImmediate;function nextFrame(){return new Promise(function(e){return delayCallback(function(){return e()})})}var DTYPE_VALUE_SIZE_MAP={float32:4,int32:4,uint16:2,uint8:1,bool:1};function encodeWeights(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o;return __generator(this,function(a){switch(a.label){case 0:for(n in t=[],r=[],e){if(\"float32\"!==(o=e[n]).dtype&&\"int32\"!==o.dtype&&\"bool\"!==o.dtype)throw new Error(\"Unsupported dtype in weight '\"+n+\"': \"+o.dtype);t.push({name:n,shape:o.shape,dtype:o.dtype}),r.push(o.data())}return[4,Promise.all(r)];case 1:return[2,{data:concatenateTypedArrays(a.sent()),specs:t}]}})})}function decodeWeights(e,t){for(var r={},n=0,o=function(t){var o=t.name,a=t.dtype,i=t.shape,s=sizeFromShape(i),u=void 0;if(\"quantization\"in t){var l=t.quantization;if(\"uint8\"!==l.dtype&&\"uint16\"!==l.dtype)throw new Error(\"Weight \"+t.name+\" has unknown quantization dtype \"+l.dtype+\". Supported quantization dtypes are: 'uint8' and 'uint16'.\");var c=DTYPE_VALUE_SIZE_MAP[l.dtype],p=e.slice(n,n+s*c),d=\"uint8\"===l.dtype?new Uint8Array(p):new Uint16Array(p);if(\"float32\"===a)u=Float32Array.from(d,function(e){return e*l.scale+l.min});else{if(\"int32\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=Int32Array.from(d,function(e){return Math.round(e*l.scale+l.min)})}n+=s*c}else{var h=DTYPE_VALUE_SIZE_MAP[a];p=e.slice(n,n+s*h);if(\"float32\"===a)u=new Float32Array(p);else if(\"int32\"===a)u=new Int32Array(p);else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=new Uint8Array(p)}n+=s*h}var f=void 0;if(\"float32\"===a)f=tensor(u,i,\"float32\");else if(\"int32\"===a)f=tensor(u,i,\"int32\");else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);f=tensor(u,i,\"bool\")}r[o]=f},a=0,i=t;a<i.length;a++){o(i[a])}return r}function concatenateTypedArrays(e){if(null===e)throw new Error(\"Invalid input value: \"+JSON.stringify(e));var t=0,r=[];e.forEach(function(e){if(t+=e.byteLength,r.push(e.byteLength===e.buffer.byteLength?e:new e.constructor(e)),!(e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array))throw new Error(\"Unsupported TypedArray subtype: \"+e.constructor.name)});var n=new Uint8Array(t),o=0;return r.forEach(function(e){n.set(new Uint8Array(e.buffer),o),o+=e.byteLength}),n.buffer}var useNodeBuffer=\"undefined\"!=typeof Buffer&&(\"undefined\"==typeof Blob||\"undefined\"==typeof atob||\"undefined\"==typeof btoa);function stringByteLength(e){return useNodeBuffer?Buffer.byteLength(e):new Blob([e]).size}function arrayBufferToBase64String(e){return useNodeBuffer?Buffer.from(e).toString(\"base64\"):btoa(String.fromCharCode.apply(null,new Uint8Array(e)))}function base64StringToArrayBuffer(e){if(useNodeBuffer){var t=Buffer.from(e,\"base64\");return t.buffer.slice(t.byteOffset,t.byteOffset+t.byteLength)}for(var r=atob(e),n=new Uint8Array(r.length),o=0;o<r.length;++o)n.set([r.charCodeAt(o)],o);return n.buffer}function concatenateArrayBuffers(e){var t=0;e.forEach(function(e){t+=e.byteLength});var r=new Uint8Array(t),n=0;return e.forEach(function(e){r.set(new Uint8Array(e),n),n+=e.byteLength}),r.buffer}function basename(e){for(e=e.trim();e.endsWith(\"/\");)e=e.slice(0,e.length-1);var t=e.split(\"/\");return t[t.length-1]}function getModelArtifactsInfoForJSON(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:null==e.modelTopology?0:stringByteLength(JSON.stringify(e.modelTopology)),weightSpecsBytes:null==e.weightSpecs?0:stringByteLength(JSON.stringify(e.weightSpecs)),weightDataBytes:null==e.weightData?0:e.weightData.byteLength}}var IORouterRegistry=function(){function e(){this.saveRouters=[],this.loadRouters=[]}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerSaveRouter=function(t){e.getInstance().saveRouters.push(t)},e.registerLoadRouter=function(t){e.getInstance().loadRouters.push(t)},e.getSaveHandlers=function(t){return e.getHandlers(t,\"save\")},e.getLoadHandlers=function(t){return e.getHandlers(t,\"load\")},e.getHandlers=function(e,t){var r=[];return(\"load\"===t?this.getInstance().loadRouters:this.getInstance().saveRouters).forEach(function(t){var n=t(e);null!==n&&r.push(n)}),r},e}(),URL_SCHEME_SUFFIX=\"://\",ModelStoreManagerRegistry=function(){function e(){this.managers={}}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerManager=function(t,r){assert(null!=t,\"scheme must not be undefined or null.\"),t.endsWith(URL_SCHEME_SUFFIX)&&(t=t.slice(0,t.indexOf(URL_SCHEME_SUFFIX))),assert(t.length>0,\"scheme must not be an empty string.\");var n=e.getInstance();assert(null==n.managers[t],\"A model store manager is already registered for scheme '\"+t+\"'.\"),n.managers[t]=r},e.getManager=function(e){var t=this.getInstance().managers[e];if(null==t)throw new Error(\"Cannot find model manager for scheme '\"+e+\"'\");return t},e.getSchemes=function(){return Object.keys(this.getInstance().managers)},e}();function parseURL(e){if(-1===e.indexOf(URL_SCHEME_SUFFIX))throw new Error(\"The url string provided does not contain a scheme. Supported schemes are: \"+ModelStoreManagerRegistry.getSchemes().join(\",\"));return{scheme:e.split(URL_SCHEME_SUFFIX)[0],path:e.split(URL_SCHEME_SUFFIX)[1]}}function cloneModelInternal(e,t,r){return void 0===r&&(r=!1),__awaiter(this,void 0,void 0,function(){var n,o,a,i,s,u,l,c,p;return __generator(this,function(d){switch(d.label){case 0:return assert(e!==t,\"Old path and new path are the same: '\"+e+\"'\"),assert((n=IORouterRegistry.getLoadHandlers(e)).length>0,\"Copying failed because no load handler is found for source URL \"+e+\".\"),assert(n.length<2,\"Copying failed because more than one (\"+n.length+\") load handlers for source URL \"+e+\".\"),o=n[0],assert((a=IORouterRegistry.getSaveHandlers(t)).length>0,\"Copying failed because no save handler is found for destination URL \"+t+\".\"),assert(a.length<2,\"Copying failed because more than one (\"+n.length+\") save handlers for destination URL \"+t+\".\"),i=a[0],s=parseURL(e).scheme,u=parseURL(e).path,l=s===parseURL(e).scheme,[4,o.load()];case 1:return c=d.sent(),r&&l?[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)]:[3,3];case 2:d.sent(),d.label=3;case 3:return[4,i.save(c)];case 4:return p=d.sent(),!r||l?[3,6]:[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:d.sent(),d.label=6;case 6:return[2,p.modelArtifactsInfo]}})})}function listModels(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a,i;return __generator(this,function(s){switch(s.label){case 0:e=ModelStoreManagerRegistry.getSchemes(),t={},r=0,n=e,s.label=1;case 1:return r<n.length?(o=n[r],[4,ModelStoreManagerRegistry.getManager(o).listModels()]):[3,4];case 2:for(i in a=s.sent())t[o+URL_SCHEME_SUFFIX+i]=a[i];s.label=3;case 3:return r++,[3,1];case 4:return[2,t]}})})}function removeModel(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(r){switch(r.label){case 0:return t=parseURL(e),[4,ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:return[2,r.sent()]}})})}function copyModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(r){switch(r.label){case 0:return[4,cloneModelInternal(e,t,!1)];case 1:return[2,r.sent()]}})})}function moveModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(r){switch(r.label){case 0:return[4,cloneModelInternal(e,t,!0)];case 1:return[2,r.sent()]}})})}var DATABASE_NAME=\"tensorflowjs\",DATABASE_VERSION=1,MODEL_STORE_NAME=\"models_store\",INFO_STORE_NAME=\"model_info_store\";function getIndexedDBFactory(){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");var e=window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function setUpDatabase(e){var t=e.result;t.createObjectStore(MODEL_STORE_NAME,{keyPath:\"modelPath\"}),t.createObjectStore(INFO_STORE_NAME,{keyPath:\"modelPath\"})}var BrowserIndexedDB=function(){function e(e){if(this.indexedDB=getIndexedDBFactory(),null==e||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return[2,this.databaseAction(this.modelPath,e)]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,this.databaseAction(this.modelPath)]})})},e.prototype.databaseAction=function(e,t){var r=this;return new Promise(function(e,n){var o=r.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var a=o.result;if(null==t){var i=a.transaction(MODEL_STORE_NAME,\"readonly\"),s=i.objectStore(MODEL_STORE_NAME).get(r.modelPath);s.onsuccess=function(){if(null==s.result)return a.close(),n(new Error(\"Cannot find model with path '\"+r.modelPath+\"' in IndexedDB.\"));e(s.result.modelArtifacts)},s.onerror=function(e){return a.close(),n(s.error)},i.oncomplete=function(){return a.close()}}else{var u,l=getModelArtifactsInfoForJSON(t),c=a.transaction(INFO_STORE_NAME,\"readwrite\"),p=c.objectStore(INFO_STORE_NAME),d=p.put({modelPath:r.modelPath,modelArtifactsInfo:l});d.onsuccess=function(){var o=(u=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).put({modelPath:r.modelPath,modelArtifacts:t,modelArtifactsInfo:l});o.onsuccess=function(){return e({modelArtifactsInfo:l})},o.onerror=function(e){var t=(p=c.objectStore(INFO_STORE_NAME)).delete(r.modelPath);t.onsuccess=function(){return a.close(),n(o.error)},t.onerror=function(e){return a.close(),n(o.error)}}},d.onerror=function(e){return a.close(),n(d.error)},c.oncomplete=function(){null==u?a.close():u.oncomplete=function(){return a.close()}}}},o.onerror=function(e){return n(o.error)}})},e.URL_SCHEME=\"indexeddb://\",e}(),indexedDBRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserIndexedDB.URL_SCHEME)?browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)):null};function browserIndexedDB(e){return new BrowserIndexedDB(e)}function maybeStripScheme(e){return e.startsWith(BrowserIndexedDB.URL_SCHEME)?e.slice(BrowserIndexedDB.URL_SCHEME.length):e}IORouterRegistry.registerSaveRouter(indexedDBRouter),IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager=function(){function e(){this.indexedDB=getIndexedDBFactory()}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e=this;return __generator(this,function(t){return[2,new Promise(function(t,r){var n=e.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);n.onupgradeneeded=function(){return setUpDatabase(n)},n.onsuccess=function(){var e=n.result,o=e.transaction(INFO_STORE_NAME,\"readonly\"),a=o.objectStore(INFO_STORE_NAME).getAll();a.onsuccess=function(){for(var e={},r=0,n=a.result;r<n.length;r++){var o=n[r];e[o.modelPath]=o.modelArtifactsInfo}t(e)},a.onerror=function(t){return e.close(),r(a.error)},o.oncomplete=function(){return e.close()}},n.onerror=function(e){return r(n.error)}})]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(r){return e=maybeStripScheme(e),[2,new Promise(function(r,n){var o=t.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var t,a=o.result,i=a.transaction(INFO_STORE_NAME,\"readwrite\"),s=i.objectStore(INFO_STORE_NAME),u=s.get(e);u.onsuccess=function(){if(null==u.result)return a.close(),n(new Error(\"Cannot find model with path '\"+e+\"' in IndexedDB.\"));var o=s.delete(e),i=function(){var o=(t=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).delete(e);o.onsuccess=function(){return r(u.result.modelArtifactsInfo)},o.onerror=function(e){return n(u.error)}};o.onsuccess=i,o.onerror=function(e){return i(),a.close(),n(u.error)}},u.onerror=function(e){return a.close(),n(u.error)},i.oncomplete=function(){null==t?a.close():t.oncomplete=function(){return a.close()}}},o.onerror=function(e){return n(o.error)}})]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME,new BrowserIndexedDBManager)}catch(e){}var PATH_SEPARATOR=\"/\",PATH_PREFIX=\"tensorflowjs_models\",INFO_SUFFIX=\"info\",MODEL_TOPOLOGY_SUFFIX=\"model_topology\",WEIGHT_SPECS_SUFFIX=\"weight_specs\",WEIGHT_DATA_SUFFIX=\"weight_data\";function getModelKeys(e){return{info:[PATH_PREFIX,e,INFO_SUFFIX].join(PATH_SEPARATOR),topology:[PATH_PREFIX,e,MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),weightSpecs:[PATH_PREFIX,e,WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),weightData:[PATH_PREFIX,e,WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR)}}function getModelPathFromKey(e){var t=e.split(PATH_SEPARATOR);if(t.length<3)throw new Error(\"Invalid key format: \"+e);return t.slice(1,t.length-1).join(PATH_SEPARATOR)}function maybeStripScheme$1(e){return e.startsWith(BrowserLocalStorage.URL_SCHEME)?e.slice(BrowserLocalStorage.URL_SCHEME.length):e}var BrowserLocalStorage=function(){function e(e){if(!ENV.get(\"IS_BROWSER\")||void 0===window.localStorage)throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,null==e||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=getModelKeys(this.modelPath)}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o;return __generator(this,function(a){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");t=JSON.stringify(e.modelTopology),r=JSON.stringify(e.weightSpecs),n=getModelArtifactsInfoForJSON(e);try{return this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,r),this.LS.setItem(this.keys.weightData,arrayBufferToBase64String(e.weightData)),[2,{modelArtifactsInfo:n}]}catch(e){for(o in this.keys)this.LS.removeItem(this.keys[o]);throw new Error(\"Failed to save model '\"+this.modelPath+\"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=\"+n.modelTopologyBytes+\", weightSpecsBytes=\"+n.weightSpecsBytes+\", weightDataBytes=\"+n.weightDataBytes+\".\")}return[2]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o;return __generator(this,function(a){if(null==(e=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error(\"In local storage, there is no model with name '\"+this.modelPath+\"'\");if(\"JSON\"!==e.modelTopologyType)throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");if(t={},null==(r=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error(\"In local storage, the topology of model '\"+this.modelPath+\"' is missing.\");if(t.modelTopology=r,null==(n=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error(\"In local storage, the weight specs of model '\"+this.modelPath+\"' are missing.\");if(t.weightSpecs=n,null==(o=this.LS.getItem(this.keys.weightData)))throw new Error(\"In local storage, the binary weight values of model '\"+this.modelPath+\"' are missing.\");return t.weightData=base64StringToArrayBuffer(o),[2,t]})})},e.URL_SCHEME=\"localstorage://\",e}(),localStorageRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserLocalStorage.URL_SCHEME)?browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)):null};function browserLocalStorage(e){return new BrowserLocalStorage(e)}IORouterRegistry.registerSaveRouter(localStorageRouter),IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager=function(){function e(){assert(ENV.get(\"IS_BROWSER\"),\"Current environment is not a web browser\"),assert(void 0!==window.localStorage,\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a;return __generator(this,function(i){for(e={},t=PATH_PREFIX+PATH_SEPARATOR,r=PATH_SEPARATOR+INFO_SUFFIX,n=0;n<this.LS.length;++n)(o=this.LS.key(n)).startsWith(t)&&o.endsWith(r)&&(a=getModelPathFromKey(o),e[a]=JSON.parse(this.LS.getItem(o)));return[2,e]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){if(e=maybeStripScheme$1(e),t=getModelKeys(e),null==this.LS.getItem(t.info))throw new Error(\"Cannot find model at path '\"+e+\"'\");return r=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,r]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME,new BrowserLocalStorageManager)}catch(e){}var DEFAULT_FILE_NAME_PREFIX=\"model\",DEFAULT_JSON_EXTENSION_NAME=\".json\",DEFAULT_WEIGHT_DATA_EXTENSION_NAME=\".weights.bin\",BrowserDownloads=function(){function e(t){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"triggerDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t=DEFAULT_FILE_NAME_PREFIX),this.modelTopologyFileName=t+DEFAULT_JSON_EXTENSION_NAME,this.weightDataFileName=t+DEFAULT_WEIGHT_DATA_EXTENSION_NAME}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i;return __generator(this,function(s){if(t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"})),e.modelTopology instanceof ArrayBuffer)throw new Error(\"DownloadTrigger.save() does not support saving model topology in binary formats yet.\");return r=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],n={modelTopology:e.modelTopology,weightsManifest:r},o=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:\"application/json\"})),(a=null==this.jsonAnchor?document.createElement(\"a\"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=o,a.click(),null!=e.weightData&&((i=null==this.weightDataAnchor?document.createElement(\"a\"):this.weightDataAnchor).download=this.weightDataFileName,i.href=t,i.click()),[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e)}]})})},e.URL_SCHEME=\"downloads://\",e}(),BrowserFiles=function(){function e(e){if(null==e||e.length<1)throw new Error(\"When calling browserFiles, at least 1 file is required, but received \"+e);this.files=e}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r=this;return __generator(this,function(n){return e=this.files[0],t=this.files.slice(1),[2,new Promise(function(n,o){var a=new FileReader;a.onload=function(a){var i=JSON.parse(a.target.result),s=i.modelTopology;if(null!=s){0===t.length&&n({modelTopology:s});var u=i.weightsManifest;if(null!=u){var l;try{l=r.checkManifestAndWeightFiles(u,t)}catch(e){return void o(e)}var c=[],p=[],d=[];u.forEach(function(e){e.paths.forEach(function(e){p.push(e),d.push(null)}),c.push.apply(c,e.weights)}),u.forEach(function(e){e.paths.forEach(function(e){var t=new FileReader;t.onload=function(t){var r=t.target.result,o=p.indexOf(e);d[o]=r,-1===d.indexOf(null)&&n({modelTopology:s,weightSpecs:c,weightData:concatenateArrayBuffers(d)})},t.onerror=function(t){o(\"Failed to weights data from file of path '\"+e+\"'.\")},t.readAsArrayBuffer(l[e])})})}else o(new Error(\"weightManifest field is missing from file \"+e.name))}else o(new Error(\"modelTopology field is missing from file \"+e.name))},a.onerror=function(t){o(\"Failed to read model topology and weights manifest JSON from file '\"+e.name+\"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.\")},a.readAsText(e)})]})})},e.prototype.checkManifestAndWeightFiles=function(e,t){for(var r=[],n=t.map(function(e){return basename(e.name)}),o={},a=0,i=e;a<i.length;a++){i[a].paths.forEach(function(e){var a=basename(e);if(-1!==r.indexOf(a))throw new Error(\"Duplicate file basename found in weights manifest: '\"+a+\"'\");if(r.push(a),-1===n.indexOf(a))throw new Error(\"Weight file with basename '\"+a+\"' is not provided.\");o[e]=t[n.indexOf(a)]})}if(r.length!==t.length)throw new Error(\"Mismatch in the number of files in weights manifest (\"+r.length+\") and the number of weight files provided (\"+t.length+\").\");return o},e}(),browserDownloadsRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserDownloads.URL_SCHEME)?browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)):null};function browserDownloads(e){return void 0===e&&(e=\"model\"),new BrowserDownloads(e)}function browserFiles(e){return new BrowserFiles(e)}function loadWeightsAsArrayBuffer(e,t){return __awaiter(this,void 0,void 0,function(){var r,n;return __generator(this,function(o){switch(o.label){case 0:return r=e.map(function(e){return fetch(e,t)}),[4,Promise.all(r)];case 1:return n=o.sent(),[4,Promise.all(n.map(function(e){return e.arrayBuffer()}))];case 2:return[2,o.sent()]}})})}function loadWeights(e,t,r,n){return void 0===t&&(t=\"\"),__awaiter(this,void 0,void 0,function(){var o,a,i,s,u,l,c,p,d,h;return __generator(this,function(f){switch(f.label){case 0:if(o=e.map(function(){return!1}),a={},i=null!=r?r.map(function(){return!1}):[],s=[],e.forEach(function(e,t){var n=0;e.weights.forEach(function(e){var u=\"quantization\"in e?e.quantization.dtype:e.dtype,l=DTYPE_VALUE_SIZE_MAP[u]*sizeFromShape(e.shape),c=function(){o[t]=!0,null==a[t]&&(a[t]=[]),a[t].push({manifestEntry:e,groupOffset:n,sizeBytes:l})};null!=r?r.forEach(function(t,r){t===e.name&&(c(),i[r]=!0)}):c(),s.push(e.name),n+=l})}),!i.every(function(e){return e}))throw u=r.filter(function(e,t){return!i[t]}),new Error(\"Could not find weights in manifest with names: \"+u.join(\", \")+\". \\nManifest JSON has weights with names: \"+s.join(\", \")+\".\");return l=o.reduce(function(e,t,r){return t&&e.push(r),e},[]),c=[],l.forEach(function(r){e[r].paths.forEach(function(e){var r=t+(t.endsWith(\"/\")?\"\":\"/\")+e;c.push(r)})}),[4,loadWeightsAsArrayBuffer(c,n)];case 1:return p=f.sent(),d={},h=0,l.forEach(function(t){for(var r=e[t].paths.length,n=0,o=0;o<r;o++)n+=p[h+o].byteLength;for(var i=new ArrayBuffer(n),s=new Uint8Array(i),u=0,l=0;l<r;l++){var c=new Uint8Array(p[h+l]);s.set(c,u),u+=c.byteLength}a[t].forEach(function(e){var t=decodeWeights(i.slice(e.groupOffset,e.groupOffset+e.sizeBytes),[e.manifestEntry]);for(var r in t)d[r]=t[r]}),h+=r}),[2,d]}})})}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest=function(){function e(e,t,r){if(this.weightPathPrefix=r,this.DEFAULT_METHOD=\"POST\",\"undefined\"==typeof fetch)throw new Error(\"browserHTTPRequest is not supported outside the web browser without a fetch polyfill.\");if(assert(null!=e&&e.length>0,\"URL path for browserHTTPRequest must not be null, undefined or empty.\"),Array.isArray(e)&&assert(2===e.length,\"URL paths for browserHTTPRequest must have a length of 2, (actual length is \"+e.length+\").\"),this.path=e,null!=t&&null!=t.body)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t||{}}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o;return __generator(this,function(a){switch(a.label){case 0:if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");return(t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,r=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],n={modelTopology:e.modelTopology,weightsManifest:r},t.body.append(\"model.json\",new Blob([JSON.stringify(n)],{type:\"application/json\"}),\"model.json\"),null!=e.weightData&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:\"application/octet-stream\"}),\"model.weights.bin\"),[4,fetch(this.path,t)];case 1:if((o=a.sent()).ok)return[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e),responses:[o]}];throw new Error(\"BrowserHTTPRequest.save() failed due to HTTP response status \"+o.status+\".\")}})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,Array.isArray(this.path)?this.loadBinaryModel():this.loadJSONModel()]})})},e.prototype.loadBinaryTopology=function(){return __awaiter(this,void 0,void 0,function(){var e,t;return __generator(this,function(r){switch(r.label){case 0:return r.trys.push([0,3,,4]),[4,fetch(this.path[0],this.requestInit)];case 1:if(!(e=r.sent()).ok)throw new Error(\"BrowserHTTPRequest.load() failed due to HTTP response: \"+e.statusText);return[4,e.arrayBuffer()];case 2:return[2,r.sent()];case 3:throw t=r.sent(),new Error(this.path[0]+\" not found. \"+t);case 4:return[2]}})})},e.prototype.loadBinaryModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return e=this.loadBinaryTopology(),[4,fetch(this.path[1],this.requestInit)];case 1:if(!(t=u.sent()).ok)throw new Error(\"BrowserHTTPRequest.load() failed due to HTTP response: \"+t.statusText);return[4,Promise.all([e,t])];case 2:return r=u.sent(),n=r[0],[4,r[1].json()];case 3:return null==(o=u.sent())?[3,5]:[4,this.loadWeights(o)];case 4:s=u.sent(),a=s[0],i=s[1],u.label=5;case 5:return[2,{modelTopology:n,weightSpecs:a,weightData:i}]}})})},e.prototype.loadJSONModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return[4,fetch(this.path,this.requestInit)];case 1:if(!(e=u.sent()).ok)throw new Error(\"BrowserHTTPRequest.load() failed due to HTTP response: \"+e.statusText);return[4,e.json()];case 2:if(t=u.sent(),r=t.modelTopology,n=t.weightsManifest,null==r&&null==n)throw new Error(\"The JSON from HTTP path \"+this.path+\" contains neither model topology or manifest for weights.\");return null==n?[3,4]:(i=t.weightsManifest,[4,this.loadWeights(i)]);case 3:s=u.sent(),o=s[0],a=s[1],u.label=4;case 4:return[2,{modelTopology:r,weightSpecs:o,weightData:a}]}})})},e.prototype.loadWeights=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i,s,u,l,c,p,d;return __generator(this,function(h){switch(h.label){case 0:for(t=Array.isArray(this.path)?this.path[1]:this.path,r=parseUrl(t),n=r[0],o=r[1],a=this.weightPathPrefix||n,i=[],s=0,u=e;s<u.length;s++)l=u[s],i.push.apply(i,l.weights);return c=[],e.forEach(function(e){e.paths.forEach(function(e){c.push(a+e+o)})}),p=[i],d=concatenateArrayBuffers,[4,loadWeightsAsArrayBuffer(c,this.requestInit)];case 1:return[2,p.concat([d.apply(void 0,[h.sent()])])]}})})},e.URL_SCHEME_REGEX=/^https?:\\/\\//,e}();function parseUrl(e){var t=e.lastIndexOf(\"/\"),r=e.lastIndexOf(\"?\");return[e.substring(0,t)+\"/\",r>t?e.substring(r):\"\"]}function isHTTPScheme(e){return null!=e.match(BrowserHTTPRequest.URL_SCHEME_REGEX)}var httpRequestRouter=function(e){if(\"undefined\"==typeof fetch)return null;return(Array.isArray(e)?e.every(function(e){return isHTTPScheme(e)}):isHTTPScheme(e))?browserHTTPRequest(e):null};function browserHTTPRequest(e,t,r){return new BrowserHTTPRequest(e,t,r)}IORouterRegistry.registerSaveRouter(httpRequestRouter),IORouterRegistry.registerLoadRouter(httpRequestRouter);var PassthroughLoader=function(){function e(e,t,r){this.modelTopology=e,this.weightSpecs=t,this.weightData=r}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e;return __generator(this,function(t){return e={},null!=this.modelTopology&&(e=__assign({modelTopology:this.modelTopology},e)),null!=this.weightSpecs&&this.weightSpecs.length>0&&(e=__assign({weightSpecs:this.weightSpecs},e)),null!=this.weightData&&this.weightData.byteLength>0&&(e=__assign({weightData:this.weightData},e)),[2,e]})})},e}(),PassthroughSaver=function(){function e(e){this.saveHandler=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.saveHandler(e)]})})},e}();function fromMemory(e,t,r){return new PassthroughLoader(e,t,r)}function withSaveHandler(e){return new PassthroughSaver(e)}var registerSaveRouter=IORouterRegistry.registerSaveRouter,registerLoadRouter=IORouterRegistry.registerLoadRouter,getSaveHandlers=IORouterRegistry.getSaveHandlers,getLoadHandlers=IORouterRegistry.getLoadHandlers,io=Object.freeze({browserFiles:browserFiles,browserHTTPRequest:browserHTTPRequest,concatenateArrayBuffers:concatenateArrayBuffers,decodeWeights:decodeWeights,encodeWeights:encodeWeights,fromMemory:fromMemory,getLoadHandlers:getLoadHandlers,getModelArtifactsInfoForJSON:getModelArtifactsInfoForJSON,getSaveHandlers:getSaveHandlers,loadWeights:loadWeights,registerLoadRouter:registerLoadRouter,registerSaveRouter:registerSaveRouter,withSaveHandler:withSaveHandler,copyModel:copyModel,listModels:listModels,moveModel:moveModel,removeModel:removeModel});function confusionMatrix_(e,t,r){var n=convertToTensor(e,\"label\",\"confusionMatrix\",\"int32\"),o=convertToTensor(t,\"label\",\"confusionMatrix\",\"int32\");assert(null==r||r>0&&Number.isInteger(r),\"If provided, numClasses must be a positive integer, but got \"+r),assert(1===n.rank,\"Expected the rank of labels to be 1, but got \"+n.rank),assert(1===o.rank,\"Expected the rank of predictions to be 1, but got \"+o.rank),assert(n.shape[0]===o.shape[0],\"Mismatch in the number of examples: \"+n.shape[0]+\" vs. \"+o.shape[0]+\". Labels and predictions should have the same number of elements.\"),assert(r>0&&Number.isInteger(r),\"numClasses is required to be a positive integer, but got \"+r);var a=oneHot(n.asType(\"int32\"),r),i=oneHot(o.asType(\"int32\"),r);return a.transpose().matMul(i).asType(\"int32\")}var confusionMatrix=op({confusionMatrix_:confusionMatrix_}),math=Object.freeze({confusionMatrix:confusionMatrix}),Serializable=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),SerializationMap=function(){function e(){this.classNameMap={}}return e.getMap=function(){return null==e.instance&&(e.instance=new e),e.instance},e.register=function(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]},e}();function registerClass(e){assert(null!=e.className,\"Class being registered does not have the static className property defined.\"),assert(\"string\"==typeof e.className,\"className is required to be a string, but got type \"+typeof e.className),assert(e.className.length>0,\"Class being registered has an empty-string as its className, which is disallowed.\"),SerializationMap.register(e)}var serialization=Object.freeze({Serializable:Serializable,SerializationMap:SerializationMap,registerClass:registerClass}),WEBGL_ENVS={HAS_WEBGL:!0},NODE_ENVS={IS_NODE:!0},CHROME_ENVS={IS_CHROME:!0},BROWSER_ENVS={IS_BROWSER:!0},CPU_ENVS={HAS_WEBGL:!1},BROWSER_CPU_ENVS={BACKEND:\"test-cpu\"},ALL_ENVS={};function expectArraysClose(e,t,r){if(null==r&&(r=ENV.get(\"TEST_EPSILON\")),e instanceof Tensor||t instanceof Tensor){if(e instanceof Tensor&&t instanceof Tensor){if(e.dtype!==t.dtype)throw new Error(\"Arrays are of different type actual: \"+e.dtype+\" vs expected: \"+t.dtype+\".\");if(!arraysEqual(e.shape,t.shape))throw new Error(\"Arrays are of different shape actual: \"+e.shape+\" vs expected: \"+t.shape+\".\")}}else{var n=e.constructor.name,o=t.constructor.name;if(n!==o)throw new Error(\"Arrays are of different type actual: \"+n+\" vs expected: \"+o)}var a,i;if(a=e instanceof Tensor?e.dataSync():e,i=t instanceof Tensor?t.dataSync():t,a.length!==i.length)throw new Error(\"Arrays have different lengths actual: \"+a.length+\" vs expected: \"+i.length+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\");for(var s=0;s<i.length;++s){var u=a[s],l=i[s];if(!areClose(u,Number(l),r))throw new Error(\"Arrays differ: actual[\"+s+\"] = \"+u+\", expected[\"+s+\"] = \"+l+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\")}}function expectPromiseToFail(e,t){e().then(function(){return t.fail()},function(){return t()})}function expectArraysEqual(e,t){return expectArraysClose(e,t,0)}function expectNumbersClose(e,t,r){if(null==r&&(r=ENV.get(\"TEST_EPSILON\")),!areClose(e,t,r))throw new Error(\"Numbers differ: actual === \"+e+\", expected === \"+t)}function areClose(e,t,r){return!(!isNaN(e)||!isNaN(t))||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>r)}function expectValuesInRange(e,t,r){var n;n=e instanceof Tensor?e.dataSync():e;for(var o=0;o<n.length;o++)if(n[o]<t||n[o]>r)throw new Error(\"Value out of range:\"+n[o]+\" low: \"+t+\", high: \"+r)}function expectArrayBuffersEqual(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}var test_util=Object.freeze({WEBGL_ENVS:WEBGL_ENVS,NODE_ENVS:NODE_ENVS,CHROME_ENVS:CHROME_ENVS,BROWSER_ENVS:BROWSER_ENVS,CPU_ENVS:CPU_ENVS,BROWSER_CPU_ENVS:BROWSER_CPU_ENVS,ALL_ENVS:ALL_ENVS,expectArraysClose:expectArraysClose,expectPromiseToFail:expectPromiseToFail,expectArraysEqual:expectArraysEqual,expectNumbersClose:expectNumbersClose,expectValuesInRange:expectValuesInRange,expectArrayBuffersEqual:expectArrayBuffersEqual}),version=\"0.13.11\",webgl=Object.freeze({gpgpu_util:gpgpu_util,webgl_util:webgl_util,MathBackendWebGL:MathBackendWebGL,GPGPUContext:GPGPUContext}),Optimizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.minimize=function(e,t,r){void 0===t&&(t=!1);var n=this.computeGradients(e,r),o=n.value,a=n.grads;return this.applyGradients(a),Object.keys(a).forEach(function(e){return a[e].dispose()}),t?o:(o.dispose(),null)},t.prototype.computeGradients=function(e,t){return variableGrads(e,t)},t}(Serializable),AdadeltaOptimizer=function(e){function t(t,r,n){void 0===n&&(n=null);var o=e.call(this)||this;return o.learningRate=t,o.rho=r,o.epsilon=n,o.accumulatedGrads={},o.accumulatedUpdates={},o.c=keep(scalar(-t)),o.rhoScalar=keep(scalar(r)),o.oneMinusRho=keep(scalar(1-r)),null===n&&(n=ENV.get(\"EPSILON\")),o.epsilonScalar=keep(scalar(n)),o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulatedGrads[r]){tidy(function(){t.accumulatedGrads[r]=zerosLike(o).variable(!1)})}if(null==n.accumulatedUpdates[r]){tidy(function(){t.accumulatedUpdates[r]=zerosLike(o).variable(!1)})}var a=e[r],i=n.accumulatedGrads[r],s=n.accumulatedUpdates[r];tidy(function(){var e=t.rhoScalar.mul(i).add(t.oneMinusRho.mul(a.square())),n=s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(a),u=t.rhoScalar.mul(s).add(t.oneMinusRho.mul(n.square()));t.accumulatedGrads[r].assign(e),t.accumulatedUpdates[r].assign(u);var l=t.c.mul(n).add(o);o.assign(l)})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.rhoScalar.dispose(),this.oneMinusRho.dispose(),null!=this.accumulatedUpdates&&(Object.keys(this.accumulatedUpdates).forEach(function(t){return e.accumulatedUpdates[t].dispose()}),Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t.className=\"AdadeltaOptimizer\",t}(Optimizer);registerClass(AdadeltaOptimizer);var AdagradOptimizer=function(e){function t(t,r){void 0===r&&(r=.1);var n=e.call(this)||this;return n.learningRate=t,n.initialAccumulatorValue=r,n.accumulatedGrads={},n.c=keep(scalar(-t)),n.epsilon=keep(scalar(ENV.get(\"EPSILON\"))),n}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulatedGrads[r]){tidy(function(){t.accumulatedGrads[r]=fill(o.shape,t.initialAccumulatorValue).variable(!1)})}var a=e[r],i=n.accumulatedGrads[r];tidy(function(){var e=i.add(a.square());t.accumulatedGrads[r].assign(e);var n=t.c.mul(a.div(e.add(t.epsilon).sqrt())).add(o);o.assign(n)})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){var e=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t.className=\"AdagradOptimizer\",t}(Optimizer);registerClass(AdagradOptimizer);var AdamOptimizer=function(e){function t(t,r,n,o){void 0===o&&(o=null);var a=e.call(this)||this;return a.learningRate=t,a.beta1=r,a.beta2=n,a.epsilon=o,a.accumulatedFirstMoment={},a.accumulatedSecondMoment={},a.c=keep(scalar(-t)),a.beta1Scalar=keep(scalar(r)),a.beta2Scalar=keep(scalar(n)),tidy(function(){a.accBeta1=scalar(r).variable(),a.accBeta2=scalar(n).variable()}),a.oneMinusBeta1=keep(scalar(1-r)),a.oneMinusBeta2=keep(scalar(1-n)),a.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),a.epsScalar=keep(scalar(o)),a}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var r=t.one.sub(t.accBeta1),n=t.one.sub(t.accBeta2);for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedSecondMoment[o]){i=!1;t.accumulatedSecondMoment[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedSecondMoment[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),d=c.div(r),h=p.div(n);t.accumulatedFirstMoment[o].assign(c),t.accumulatedSecondMoment[o].assign(p);var f=t.c.mul(d.div(t.epsScalar.add(h.sqrt()))).add(a);a.assign(f)}t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)),t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.accBeta1.dispose(),this.accBeta2.dispose(),this.oneMinusBeta1.dispose(),this.oneMinusBeta2.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedSecondMoment&&Object.keys(this.accumulatedSecondMoment).forEach(function(t){return e.accumulatedSecondMoment[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t.className=\"AdamOptimizer\",t}(Optimizer);registerClass(AdamOptimizer);var AdamaxOptimizer=function(e){function t(t,r,n,o,a){void 0===o&&(o=null),void 0===a&&(a=0);var i=e.call(this)||this;return i.learningRate=t,i.beta1=r,i.beta2=n,i.epsilon=o,i.decay=a,i.accumulatedFirstMoment={},i.accumulatedWeightedInfNorm={},i.c=keep(scalar(-t)),i.beta1Scalar=keep(scalar(r)),i.beta2Scalar=keep(scalar(n)),i.decayScalar=keep(scalar(a)),tidy(function(){i.iteration=scalar(0).variable(),i.accBeta1=scalar(r).variable()}),i.oneMinusBeta1=keep(scalar(1-r)),i.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),i.epsScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var r=t.one.sub(t.accBeta1),n=t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedWeightedInfNorm[o]){i=!1;t.accumulatedWeightedInfNorm[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedWeightedInfNorm[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l),d=s.abs(),h=p.maximum(d);t.accumulatedFirstMoment[o].assign(c),t.accumulatedWeightedInfNorm[o].assign(h);var f=n.div(r).mul(c.div(t.epsScalar.add(h))).add(a);a.assign(f)}t.iteration.assign(t.iteration.add(t.one)),t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.accBeta1.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.oneMinusBeta1.dispose(),this.decayScalar.dispose(),this.iteration.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedWeightedInfNorm&&Object.keys(this.accumulatedWeightedInfNorm).forEach(function(t){return e.accumulatedWeightedInfNorm[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t.className=\"AdamaxOptimizer\",t}(Optimizer);registerClass(AdamaxOptimizer);var SGDOptimizer=function(e){function t(t){var r=e.call(this)||this;return r.learningRate=t,r.setLearningRate(t),r}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;Object.keys(e).forEach(function(r){var n=e[r],o=ENV.engine.registeredVariables[r];tidy(function(){var e=t.c.mul(n).add(o);o.assign(e)})})},t.prototype.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=keep(scalar(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t.className=\"SGDOptimizer\",t}(Optimizer);registerClass(SGDOptimizer);var MomentumOptimizer=function(e){function t(t,r,n){void 0===n&&(n=!1);var o=e.call(this,t)||this;return o.learningRate=t,o.momentum=r,o.useNesterov=n,o.m=scalar(o.momentum),o.accumulations={},o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulations[r]){tidy(function(){t.accumulations[r]=zerosLike(o).variable(!1)})}var a=n.accumulations[r],i=e[r];tidy(function(){var e,n=t.m.mul(a).add(i);e=t.useNesterov?t.c.mul(i.add(n.mul(t.m))).add(o):t.c.mul(n).add(o),t.accumulations[r].assign(n),o.assign(e)})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){if(e.prototype.dispose.call(this),this.m.dispose(),null!=this.accumulations)for(var t in this.accumulations)this.accumulations[t].dispose()},t.prototype.setMomentum=function(e){this.momentum=e},t.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)},t.className=\"MomentumOptimizer\",t}(SGDOptimizer);registerClass(MomentumOptimizer);var RMSPropOptimizer=function(e){function t(t,r,n,o,a){void 0===r&&(r=.9),void 0===n&&(n=0),void 0===o&&(o=null),void 0===a&&(a=!1);var i=e.call(this)||this;return i.learningRate=t,i.decay=r,i.momentum=n,i.epsilon=o,i.accumulatedMeanSquares={},i.accumulatedMeanGrads={},i.accumulatedMoments={},i.c=keep(scalar(t)),i.decayScalar=keep(scalar(r)),i.momentumScalar=keep(scalar(n)),i.oneMinusDecay=keep(scalar(1-r)),i.centered=a,null===o&&(o=ENV.get(\"EPSILON\")),i.epsilonScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulatedMeanSquares[r]){tidy(function(){t.accumulatedMeanSquares[r]=zerosLike(o).variable(!1)})}if(null==n.accumulatedMeanGrads[r]&&n.centered){tidy(function(){t.accumulatedMeanGrads[r]=zerosLike(o).variable(!1)})}if(null==n.accumulatedMoments[r]){tidy(function(){t.accumulatedMoments[r]=zerosLike(o).variable(!1)})}var a=n.accumulatedMeanSquares[r],i=n.accumulatedMeanGrads[r],s=n.accumulatedMoments[r],u=e[r];tidy(function(){var e=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));if(t.centered){var n=t.decayScalar.mul(i).add(t.oneMinusDecay.mul(u)),l=t.momentumScalar.mul(s).add(t.c.mul(u).div(e.sub(n.square().add(t.epsilonScalar)).sqrt()));t.accumulatedMeanSquares[r].assign(e),t.accumulatedMeanGrads[r].assign(n),t.accumulatedMoments[r].assign(l);var c=o.sub(l);o.assign(c)}else{var p=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));l=t.momentumScalar.mul(s).add(t.c.mul(u).div(p.add(t.epsilonScalar).sqrt()));t.accumulatedMeanSquares[r].assign(p),t.accumulatedMoments[r].assign(l);c=o.sub(l);o.assign(c)}})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.decayScalar.dispose(),this.momentumScalar.dispose(),this.oneMinusDecay.dispose(),null!=this.accumulatedMeanSquares&&Object.keys(this.accumulatedMeanSquares).forEach(function(t){return e.accumulatedMeanSquares[t].dispose()}),null!=this.accumulatedMeanGrads&&this.centered&&Object.keys(this.accumulatedMeanGrads).forEach(function(t){return e.accumulatedMeanGrads[t].dispose()}),null!=this.accumulatedMoments&&Object.keys(this.accumulatedMoments).forEach(function(t){return e.accumulatedMoments[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},t.fromConfig=function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)},t.className=\"RMSPropOptimizer\",t}(Optimizer);registerClass(RMSPropOptimizer);var OptimizerConstructors=function(){function e(){}return e.sgd=function(e){return new SGDOptimizer(e)},e.momentum=function(e,t,r){return void 0===r&&(r=!1),new MomentumOptimizer(e,t,r)},e.rmsprop=function(e,t,r,n,o){return void 0===t&&(t=.9),void 0===r&&(r=0),void 0===n&&(n=null),void 0===o&&(o=!1),new RMSPropOptimizer(e,t,r,n,o)},e.adam=function(e,t,r,n){return void 0===e&&(e=.001),void 0===t&&(t=.9),void 0===r&&(r=.999),void 0===n&&(n=null),new AdamOptimizer(e,t,r,n)},e.adadelta=function(e,t,r){return void 0===e&&(e=.001),void 0===t&&(t=.95),void 0===r&&(r=null),new AdadeltaOptimizer(e,t,r)},e.adamax=function(e,t,r,n,o){return void 0===e&&(e=.002),void 0===t&&(t=.9),void 0===r&&(r=.999),void 0===n&&(n=null),void 0===o&&(o=0),new AdamaxOptimizer(e,t,r,n,o)},e.adagrad=function(e,t){return void 0===t&&(t=.1),new AdagradOptimizer(e,t)},e}(),train={sgd:OptimizerConstructors.sgd,momentum:OptimizerConstructors.momentum,adadelta:OptimizerConstructors.adadelta,adagrad:OptimizerConstructors.adagrad,rmsprop:OptimizerConstructors.rmsprop,adamax:OptimizerConstructors.adamax,adam:OptimizerConstructors.adam},setBackend=Environment.setBackend,getBackend=Environment.getBackend,disposeVariables=Environment.disposeVariables,memory=Environment.memory;setOpHandler(ops);export{setBackend,getBackend,disposeVariables,memory,version as version_core,nextFrame,environment,io,math,serialization,test_util,util,webgl,AdadeltaOptimizer,AdagradOptimizer,AdamOptimizer,AdamaxOptimizer,MomentumOptimizer,Optimizer,RMSPropOptimizer,SGDOptimizer,Tensor,TensorBuffer,variable,Variable,Rank,Reduction,ENV,Environment,KernelBackend,DataStorage,image_ops as image,linalg_ops as linalg,loss_ops as losses,spectral_ops as spectral,op,batchNormalization2d,batchNormalization3d,batchNormalization4d,batchNormalization,complex,real,imag,concat,concat1d,concat2d,concat3d,concat4d,split$1 as split,conv1d,conv2d,conv2dDerFilter,depthwiseConv2d,separableConv2d,conv2dTranspose,matMul,dot,outerProduct,reverse,reverse1d,reverse2d,reverse3d,reverse4d,maxPool,avgPool,pool,slice,slice1d,slice2d,slice3d,slice4d,abs,acos,acosh,asin,asinh,atan,atanh,ceil,clipByValue,cos,cosh,erf,exp,expm1,floor,log$1 as log,log1p,logSigmoid,neg,reciprocal,round,rsqrt,sigmoid,sign,sin,sinh,softplus,sqrt,square,step,tan,tanh$1 as tanh,all,any,argMax,argMin,logSumExp,max,mean,min,moments,sum$1 as sum,prod,equal,equalStrict,greater,greaterEqual,greaterEqualStrict,greaterStrict,less,lessEqual,lessEqualStrict,lessStrict,notEqual,notEqualStrict,add,addN,addStrict,atan2,div,divStrict,floorDiv,maximum,maximumStrict,minimum,minimumStrict,mod,modStrict,mul,mulStrict,pow,powStrict,squaredDifference,squaredDifferenceStrict,sub,subStrict,elu,leakyRelu,prelu,relu,selu,logicalAnd,logicalNot,logicalOr,logicalXor,where,whereAsync,buffer,toPixels,print,batchToSpaceND,cast,clone,cumsum,depthToSpace,expandDims,eye,fromPixels,multinomial,oneHot,pad,pad1d,pad2d,pad3d,pad4d,rand,randomNormal,randomUniform,reshape,spaceToBatchND,squeeze,stack,tile,truncatedNormal,unstack,setdiff1dAsync,fill,linspace,ones$1 as ones,range,scalar,tensor,tensor1d,tensor2d,tensor3d,tensor4d,tensor5d,tensor6d,zeros,onesLike,zerosLike,transpose,softmax,logSoftmax,localResponseNormalization,norm,gather,unsortedSegmentSum,basicLSTMCell,multiRNNCell,movingAverage,stridedSlice,topk,scatterND,fft,ifft,rfft,sparseToDense,gatherND,train,tidy,keep,dispose,time,profile,customGrad,grad,grads,valueAndGrad,valueAndGrads,variableGrads};\n//# sourceMappingURL=tf-core.esm.js.map\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nvar extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}var 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n=Math.random();return t*n+(1-n)*e}function distSquared(e,t){for(var n=0,r=0;r<e.length;r++){var o=Number(e[r])-Number(t[r]);n+=o*o}return n}function assert(e,t){if(!e)throw new Error(\"string\"==typeof t?t:t())}function assertShapesMatch(e,t,n){void 0===n&&(n=\"\"),assert(arraysEqual(e,t),n+\" Shapes \"+e+\" and \"+t+\" must match\")}function assertNonNull(e){assert(null!=e,\"The input to the tensor constructor must be a non-null value.\")}function flatten(e,t){if(void 0===t&&(t=[]),Array.isArray(e))for(var n=0;n<e.length;++n)flatten(e[n],t);else t.push(e);return t}function inferShape(e){var t=e;if(isTypedArray(e))return[e.length];if(!Array.isArray(e))return[];for(var n=[];t instanceof Array;)n.push(t.length),t=t[0];return e instanceof Array&&deepAssertShapeConsistency(e,n,[]),n}function deepAssertShapeConsistency(e,t,n){if(n=n||[],e instanceof Array){assert(t.length>0,function(){return\"Element arr[\"+n.join(\"][\")+\"] should be a primitive, but is an array of \"+e.length+\" elements\"}),assert(e.length===t[0],function(){return\"Element arr[\"+n.join(\"][\")+\"] should have \"+t[0]+\" elements, but has \"+e.length+\" elements\"});for(var r=t.slice(1),o=0;o<e.length;++o)deepAssertShapeConsistency(e[o],r,n.concat(o))}else assert(0===t.length,function(){return\"Element arr[\"+n.join(\"][\")+\"] is a primitive, but should be an array of \"+t[0]+\" elements\"})}function sizeFromShape(e){if(0===e.length)return 1;for(var t=e[0],n=1;n<e.length;n++)t*=e[n];return t}function isScalarShape(e){return 0===e.length}function arraysEqual(e,t){if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}function isInt(e){return e%1==0}function tanh(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)}function sizeToSquarishShape(e){for(var t=Math.floor(Math.sqrt(e));t>1;--t)if(e%t==0)return[t,e/t];return[1,e]}function createShuffledIndices(e){for(var t=new Uint32Array(e),n=0;n<e;++n)t[n]=n;return shuffle(t),t}function rightPad(e,t){return t<=e.length?e:e+\" \".repeat(t-e.length)}function repeatedTry(e,t,n){return void 0===t&&(t=function(e){return 0}),new Promise(function(r,o){var a=0,i=function(){if(e())r();else{var s=t(++a);null!=n&&a>=n?o():setTimeout(i,s)}};i()})}function inferFromImplicitShape(e,t){for(var n=1,r=-1,o=0;o<e.length;++o)if(e[o]>=0)n*=e[o];else if(-1===e[o]){if(-1!==r)throw Error(\"Shapes can only have 1 implicit size. Found -1 at dim \"+r+\" and dim \"+o);r=o}else if(e[o]<0)throw Error(\"Shapes can not be < 0. Found \"+e[o]+\" at dim \"+o);if(-1===r){if(t>0&&t!==n)throw Error(\"Size(\"+t+\") must match the product of shape \"+e);return e}if(0===n)throw Error(\"Cannot infer the missing size in [\"+e+\"] when there are 0 elements\");if(t%n!=0)throw Error(\"The implicit shape can't be a fractional number. Got \"+t+\" / \"+n);var a=e.slice();return a[r]=t/n,a}function squeezeShape(e,t){for(var n=[],r=[],o=0,a=0;a<e.length;++a){if(null!=t){if(t[o]===a&&1!==e[a])throw new Error(\"Can't squeeze axis \"+a+\" since its dim '\"+e[a]+\"' is not 1\");(null==t[o]||t[o]>a)&&1===e[a]&&(n.push(e[a]),r.push(a)),t[o]<=a&&o++}1!==e[a]&&(n.push(e[a]),r.push(a))}return{newShape:n,keptDims:r}}function getTypedArrayFromDType(e,t){var n=null;if(null==e||\"float32\"===e)n=new Float32Array(t);else if(\"int32\"===e)n=new Int32Array(t);else{if(\"bool\"!==e)throw new Error(\"Unknown data type \"+e);n=new Uint8Array(t)}return n}function checkComputationForNaN(e,t,n){if(\"float32\"===t)for(var r=0;r<e.length;r++)if(isNaN(e[r]))throw Error(\"The result of the '\"+n+\"' has NaNs.\")}function checkConversionForNaN(e,t){if(\"float32\"!==t)for(var n=0;n<e.length;n++)if(isNaN(e[n]))throw Error(\"NaN is not a valid value for dtype: '\"+t+\"'.\")}function hasEncodingLoss(e,t){return\"complex64\"!==t&&((\"float32\"!==t||\"complex64\"===e)&&((\"int32\"!==t||\"float32\"===e||\"complex64\"===e)&&(\"bool\"!==t||\"bool\"!==e)))}function copyTypedArray(e,t,n){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return n&&checkConversionForNaN(e,t),new Int32Array(e);if(\"bool\"===t){for(var r=new Uint8Array(e.length),o=0;o<r.length;++o)0!==Math.round(e[o])&&(r[o]=1);return r}throw new Error(\"Unknown data type \"+t)}function isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array}function bytesPerElement(e){if(\"float32\"===e||\"int32\"===e)return 4;if(\"complex64\"===e)return 8;if(\"bool\"===e)return 1;throw new Error(\"Unknown dtype \"+e)}function isFunction(e){return!!(e&&e.constructor&&e.call&&e.apply)}function nearestDivisor(e,t){for(var n=t;n<e;++n)if(e%n==0)return n;return e}function computeStrides(e){var t=e.length;if(t<2)return[];var n=new Array(t-1);n[t-2]=e[t-1];for(var r=t-3;r>=0;--r)n[r]=n[r+1]*e[r+1];return n}function toTypedArray(e,t,n){return noConversionNeeded(e,t)?e:(Array.isArray(e)&&(e=flatten(e)),copyTypedArray(e,t,n))}function noConversionNeeded(e,t){return e instanceof Float32Array&&\"float32\"===t||e instanceof Int32Array&&\"int32\"===t||e instanceof Uint8Array&&\"bool\"===t}function makeOnesTypedArray(e,t){for(var n=makeZerosTypedArray(e,t),r=0;r<n.length;r++)n[r]=1;return n}function makeZerosTypedArray(e,t){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return new Int32Array(e);if(\"bool\"===t)return new Uint8Array(e);throw new Error(\"Unknown data type \"+t)}function now(){if(\"undefined\"!=typeof performance)return performance.now();if(\"undefined\"!=typeof process){var e=process.hrtime();return 1e3*e[0]+e[1]/1e6}throw new Error(\"Cannot measure time in this environment. You should run tf.js in the browser or in Node.js\")}var util=Object.freeze({shuffle:shuffle,clamp:clamp,randUniform:randUniform,distSquared:distSquared,assert:assert,assertShapesMatch:assertShapesMatch,assertNonNull:assertNonNull,flatten:flatten,inferShape:inferShape,sizeFromShape:sizeFromShape,isScalarShape:isScalarShape,arraysEqual:arraysEqual,isInt:isInt,tanh:tanh,sizeToSquarishShape:sizeToSquarishShape,createShuffledIndices:createShuffledIndices,rightPad:rightPad,repeatedTry:repeatedTry,inferFromImplicitShape:inferFromImplicitShape,squeezeShape:squeezeShape,getTypedArrayFromDType:getTypedArrayFromDType,checkComputationForNaN:checkComputationForNaN,checkConversionForNaN:checkConversionForNaN,hasEncodingLoss:hasEncodingLoss,isTypedArray:isTypedArray,bytesPerElement:bytesPerElement,isFunction:isFunction,nearestDivisor:nearestDivisor,computeStrides:computeStrides,toTypedArray:toTypedArray,makeOnesTypedArray:makeOnesTypedArray,makeZerosTypedArray:makeZerosTypedArray,now:now}),Profiler=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new Logger)}return e.prototype.profileKernel=function(e,t){var n,r=this,o=this.backendTimer.time(function(){n=t()});return(Array.isArray(n)?n:[n]).forEach(function(t){var n=t.dataSync();checkComputationForNaN(n,t.dtype,e),o.then(function(o){r.logger.logKernelProfile(e,t,n,o.kernelMs)})}),n},e}(),Logger=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,n,r){var o=rightPad(r+\"ms\",9),a=rightPad(e,25),i=t.rank,s=t.size,u=rightPad(t.shape.toString(),14);console.log(\"%c\"+a+\"\\t%c\"+o+\"\\t%c\"+i+\"D \"+u+\"\\t%c\"+s,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\")},e}(),FORMAT_LIMIT_NUM_VALS=20,FORMAT_NUM_FIRST_LAST_VALS=3,FORMAT_NUM_SIG_DIGITS=7;function tensorToString(e,t,n,r){var o=computeStrides(t),a=computeMaxSizePerColumn(e,t,n,o),i=t.length,s=subTensorToString(e,t,n,o,a),u=[\"Tensor\"];return r&&(u.push(\"  dtype: \"+n),u.push(\"  rank: \"+i),u.push(\"  shape: [\"+t+\"]\"),u.push(\"  values:\")),u.push(s.map(function(e){return\"    \"+e}).join(\"\\n\")),u.join(\"\\n\")}function computeMaxSizePerColumn(e,t,n,r){var o=sizeFromShape(t),a=r[r.length-1],i=new Array(a).fill(0),s=t.length,u=\"complex64\"===n?createComplexTuples(e):e;if(s>1)for(var l=0;l<o/a;l++)for(var c=l*a,p=0;p<a;p++)i[p]=Math.max(i[p],valToString(u[c+p],0).length);return i}function valToString(e,t){return rightPad(Array.isArray(e)?parseFloat(e[0].toFixed(FORMAT_NUM_SIG_DIGITS))+\" + \"+parseFloat(e[1].toFixed(FORMAT_NUM_SIG_DIGITS))+\"j\":parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(),t)}function subTensorToString(e,t,n,r,o,a){void 0===a&&(a=!0);var i=\"complex64\"===n?2:1,s=t[0],u=t.length;if(0===u)return\"complex64\"===n?[valToString(createComplexTuples(e)[0],0)]:[e[0].toString()];if(1===u){if(s>FORMAT_LIMIT_NUM_VALS){var l=FORMAT_NUM_FIRST_LAST_VALS*i,c=Array.from(e.subarray(0,l)),p=Array.from(e.subarray(s-FORMAT_NUM_FIRST_LAST_VALS*i,s));return\"complex64\"===n&&(c=createComplexTuples(c),p=createComplexTuples(p)),[\"[\"+c.map(function(e,t){return valToString(e,o[t])}).join(\", \")+\", ..., \"+p.map(function(e,t){return valToString(e,o[s-FORMAT_NUM_FIRST_LAST_VALS+t])}).join(\", \")+\"]\"]}return[\"[\"+(\"complex64\"===n?createComplexTuples(e):Array.from(e)).map(function(e,t){return valToString(e,o[t])}).join(\", \")+\"]\"]}var d=t.slice(1),h=r.slice(1),f=r[0]*i,m=[];if(s>FORMAT_LIMIT_NUM_VALS){for(var g=0;g<FORMAT_NUM_FIRST_LAST_VALS;g++){var v=(x=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(x,v),d,n,h,o,!1))}m.push(\"...\");for(g=s-FORMAT_NUM_FIRST_LAST_VALS;g<s;g++){v=(x=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(x,v),d,n,h,o,g===s-1))}}else for(g=0;g<s;g++){var x;v=(x=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(x,v),d,n,h,o,g===s-1))}var y=2===u?\",\":\"\";m[0]=\"[\"+m[0]+y;for(g=1;g<m.length-1;g++)m[g]=\" \"+m[g]+y;var T=\",\\n\";for(g=2;g<u;g++)T+=\"\\n\";return m[m.length-1]=\" \"+m[m.length-1]+\"]\"+(a?\"\":T),m}function createComplexTuples(e){for(var t=[],n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var TensorBuffer=function(){function e(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=sizeFromShape(e),null!=n){var r=n.length;assert(r===this.size,\"Length of values '\"+r+\"' does not match the size inferred by the shape '\"+this.size+\"'.\")}if(\"complex64\"===t)throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=n||getTypedArrayFromDType(t,sizeFromShape(this.shape)),this.strides=computeStrides(e)}return e.prototype.set=function(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];0===t.length&&(t=[0]),assert(t.length===this.rank,\"The number of provided coordinates (\"+t.length+\") must match the rank (\"+this.rank+\")\");var r=this.locToIndex(t);this.values[r]=e},e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];0===e.length&&(e=[0]);for(var n=e[e.length-1],r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.values[n]},e.prototype.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t},e.prototype.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.toTensor=function(){return Tensor.make(this.shape,{values:this.values},this.dtype)},e}(),trackerFn=null,opHandler=null;function setTensorTracker(e){trackerFn=e}function setOpHandler(e){opHandler=e}var Tensor=function(){function e(t,n,r,o){this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=n||\"float32\",this.size=sizeFromShape(t),null!=r&&assert(this.size===r.length,\"Based on the provided shape, [\"+t+\"], and dtype \"+this.dtype+\", the tensor should have \"+this.size+\" values but has \"+r.length),this.strides=computeStrides(t),this.dataId=null!=o?o:{},this.id=e.nextId++,this.rankType=this.rank<5?this.rank.toString():\"higher\",trackerFn().registerTensor(this),null!=r&&trackerFn().write(this.dataId,r)}return e.make=function(t,n,r){return new e(t,r,n.values,n.dataId)},e.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},e.prototype.asScalar=function(){return this.throwIfDisposed(),assert(1===this.size,\"The array must have only 1 element.\"),this.reshape([])},e.prototype.as1D=function(){return this.throwIfDisposed(),this.reshape([this.size])},e.prototype.as2D=function(e,t){return this.throwIfDisposed(),this.reshape([e,t])},e.prototype.as3D=function(e,t,n){return this.throwIfDisposed(),this.reshape([e,t,n])},e.prototype.as4D=function(e,t,n,r){return this.throwIfDisposed(),this.reshape([e,t,n,r])},e.prototype.asType=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];assert(e.length===this.rank,\"Number of coordinates in get() must match the rank of the tensor\"),assert(\"complex64\"!==this.dtype,\"Tensor.get() is not supported for complex64 tensors yet.\"),this.throwIfDisposed(),0===e.length&&(e=[0]);for(var n=e[e.length-1],r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.dataSync()[n]},e.prototype.buffer=function(){return opHandler.buffer(this.shape,this.dtype,this.dataSync())},e.prototype.data=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.throwIfDisposed(),[2,trackerFn().read(this.dataId)]})})},e.prototype.dataSync=function(){return this.throwIfDisposed(),trackerFn().readSync(this.dataId)},e.prototype.dispose=function(){this.isDisposed||(trackerFn().disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(e.prototype,\"isDisposed\",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),e.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")},e.prototype.toFloat=function(){return this.asType(\"float32\")},e.prototype.toInt=function(){return this.asType(\"int32\")},e.prototype.toBool=function(){return this.asType(\"bool\")},e.prototype.print=function(e){return void 0===e&&(e=!1),opHandler.print(this,e)},e.prototype.reshape=function(e){return this.throwIfDisposed(),opHandler.reshape(this,e)},e.prototype.reshapeAs=function(e){return this.throwIfDisposed(),this.reshape(e.shape)},e.prototype.expandDims=function(e){return void 0===e&&(e=0),opHandler.expandDims(this,e)},e.prototype.cumsum=function(e,t,n){return void 0===e&&(e=0),void 0===t&&(t=!1),void 0===n&&(n=!1),opHandler.cumsum(this,e,t,n)},e.prototype.squeeze=function(e){return this.throwIfDisposed(),opHandler.squeeze(this,e)},e.prototype.clone=function(){return this.throwIfDisposed(),opHandler.clone(this)},e.prototype.toString=function(e){return void 0===e&&(e=!1),tensorToString(this.dataSync(),this.shape,this.dtype,e)},e.prototype.tile=function(e){return this.throwIfDisposed(),opHandler.tile(this,e)},e.prototype.gather=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.gather(this,e,t)},e.prototype.matMul=function(e,t,n){return void 0===t&&(t=!1),void 0===n&&(n=!1),this.throwIfDisposed(),opHandler.matMul(this,e,t,n)},e.prototype.dot=function(e){return this.throwIfDisposed(),opHandler.dot(this,e)},e.prototype.norm=function(e,t,n){return void 0===e&&(e=\"euclidean\"),void 0===t&&(t=null),void 0===n&&(n=!1),this.throwIfDisposed(),opHandler.norm(this,e,t,n)},e.prototype.slice=function(e,t){return this.throwIfDisposed(),opHandler.slice(this,e,t)},e.prototype.reverse=function(e){return this.throwIfDisposed(),opHandler.reverse(this,e)},e.prototype.concat=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.concat([this,e],t)},e.prototype.split=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.split(this,e,t)},e.prototype.stack=function(e,t){return void 0===t&&(t=0),opHandler.stack([this,e],t)},e.prototype.unstack=function(e,t){return void 0===t&&(t=0),opHandler.unstack(this,t)},e.prototype.pad=function(e,t){return void 0===t&&(t=0),opHandler.pad(this,e,t)},e.prototype.batchNormalization=function(e,t,n,r,o){return void 0===n&&(n=.001),this.throwIfDisposed(),opHandler.batchNormalization(this,e,t,n,r,o)},e.prototype.all=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.all(this,e,t)},e.prototype.any=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.any(this,e,t)},e.prototype.logSumExp=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.logSumExp(this,e,t)},e.prototype.sum=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.sum(this,e,t)},e.prototype.mean=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.mean(this,e,t)},e.prototype.min=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.min(this,e,t)},e.prototype.max=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.max(this,e,t)},e.prototype.argMin=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMin(this,e)},e.prototype.argMax=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMax(this,e)},e.prototype.cast=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},e.prototype.add=function(e){return this.throwIfDisposed(),opHandler.add(this,e)},e.prototype.addStrict=function(e){return this.throwIfDisposed(),opHandler.addStrict(this,e)},e.prototype.atan2=function(e){return this.throwIfDisposed(),opHandler.atan2(this,e)},e.prototype.sub=function(e){return this.throwIfDisposed(),opHandler.sub(this,e)},e.prototype.subStrict=function(e){return this.throwIfDisposed(),opHandler.subStrict(this,e)},e.prototype.pow=function(e){return this.throwIfDisposed(),opHandler.pow(this,e)},e.prototype.powStrict=function(e){return this.throwIfDisposed(),opHandler.powStrict(this,e)},e.prototype.mul=function(e){return this.throwIfDisposed(),opHandler.mul(this,e)},e.prototype.mulStrict=function(e){return this.throwIfDisposed(),opHandler.mulStrict(this,e)},e.prototype.div=function(e){return this.throwIfDisposed(),opHandler.div(this,e)},e.prototype.floorDiv=function(e){return this.throwIfDisposed(),opHandler.floorDiv(this,e)},e.prototype.divStrict=function(e){return this.throwIfDisposed(),opHandler.divStrict(this,e)},e.prototype.minimum=function(e){return this.throwIfDisposed(),opHandler.minimum(this,e)},e.prototype.minimumStrict=function(e){return this.throwIfDisposed(),opHandler.minimumStrict(this,e)},e.prototype.maximum=function(e){return this.throwIfDisposed(),opHandler.maximum(this,e)},e.prototype.maximumStrict=function(e){return this.throwIfDisposed(),opHandler.maximumStrict(this,e)},e.prototype.mod=function(e){return this.throwIfDisposed(),opHandler.mod(this,e)},e.prototype.modStrict=function(e){return this.throwIfDisposed(),opHandler.modStrict(this,e)},e.prototype.squaredDifference=function(e){return this.throwIfDisposed(),opHandler.squaredDifference(this,e)},e.prototype.squaredDifferenceStrict=function(e){return this.throwIfDisposed(),opHandler.squaredDifferenceStrict(this,e)},e.prototype.transpose=function(e){return this.throwIfDisposed(),opHandler.transpose(this,e)},e.prototype.notEqual=function(e){return this.throwIfDisposed(),opHandler.notEqual(this,e)},e.prototype.notEqualStrict=function(e){return this.throwIfDisposed(),opHandler.notEqualStrict(this,e)},e.prototype.less=function(e){return this.throwIfDisposed(),opHandler.less(this,e)},e.prototype.lessStrict=function(e){return this.throwIfDisposed(),opHandler.lessStrict(this,e)},e.prototype.equal=function(e){return this.throwIfDisposed(),opHandler.equal(this,e)},e.prototype.equalStrict=function(e){return this.throwIfDisposed(),opHandler.equalStrict(this,e)},e.prototype.lessEqual=function(e){return this.throwIfDisposed(),opHandler.lessEqual(this,e)},e.prototype.lessEqualStrict=function(e){return this.throwIfDisposed(),opHandler.lessEqualStrict(this,e)},e.prototype.greater=function(e){return this.throwIfDisposed(),opHandler.greater(this,e)},e.prototype.greaterStrict=function(e){return this.throwIfDisposed(),opHandler.greaterStrict(this,e)},e.prototype.greaterEqual=function(e){return this.throwIfDisposed(),opHandler.greaterEqual(this,e)},e.prototype.greaterEqualStrict=function(e){return this.throwIfDisposed(),opHandler.greaterEqualStrict(this,e)},e.prototype.logicalAnd=function(e){return this.throwIfDisposed(),opHandler.logicalAnd(this,e)},e.prototype.logicalOr=function(e){return this.throwIfDisposed(),opHandler.logicalOr(this,e)},e.prototype.logicalNot=function(){return this.throwIfDisposed(),opHandler.logicalNot(this)},e.prototype.logicalXor=function(e){return this.throwIfDisposed(),opHandler.logicalXor(this,e)},e.prototype.where=function(e,t){return this.throwIfDisposed(),opHandler.where(e,this,t)},e.prototype.neg=function(){return this.throwIfDisposed(),opHandler.neg(this)},e.prototype.ceil=function(){return this.throwIfDisposed(),opHandler.ceil(this)},e.prototype.floor=function(){return this.throwIfDisposed(),opHandler.floor(this)},e.prototype.sign=function(){return this.throwIfDisposed(),opHandler.sign(this)},e.prototype.exp=function(){return this.throwIfDisposed(),opHandler.exp(this)},e.prototype.expm1=function(){return this.throwIfDisposed(),opHandler.expm1(this)},e.prototype.log=function(){return this.throwIfDisposed(),opHandler.log(this)},e.prototype.log1p=function(){return this.throwIfDisposed(),opHandler.log1p(this)},e.prototype.sqrt=function(){return this.throwIfDisposed(),opHandler.sqrt(this)},e.prototype.rsqrt=function(){return this.throwIfDisposed(),opHandler.rsqrt(this)},e.prototype.square=function(){return this.throwIfDisposed(),opHandler.square(this)},e.prototype.reciprocal=function(){return this.throwIfDisposed(),opHandler.reciprocal(this)},e.prototype.abs=function(){return this.throwIfDisposed(),opHandler.abs(this)},e.prototype.clipByValue=function(e,t){return this.throwIfDisposed(),opHandler.clipByValue(this,e,t)},e.prototype.relu=function(){return this.throwIfDisposed(),opHandler.relu(this)},e.prototype.elu=function(){return this.throwIfDisposed(),opHandler.elu(this)},e.prototype.selu=function(){return this.throwIfDisposed(),opHandler.selu(this)},e.prototype.leakyRelu=function(e){return void 0===e&&(e=.2),this.throwIfDisposed(),opHandler.leakyRelu(this,e)},e.prototype.prelu=function(e){return this.throwIfDisposed(),opHandler.prelu(this,e)},e.prototype.sigmoid=function(){return this.throwIfDisposed(),opHandler.sigmoid(this)},e.prototype.logSigmoid=function(){return this.throwIfDisposed(),opHandler.logSigmoid(this)},e.prototype.softplus=function(){return this.throwIfDisposed(),opHandler.softplus(this)},e.prototype.zerosLike=function(){return this.throwIfDisposed(),opHandler.zerosLike(this)},e.prototype.onesLike=function(){return this.throwIfDisposed(),opHandler.onesLike(this)},e.prototype.sin=function(){return this.throwIfDisposed(),opHandler.sin(this)},e.prototype.cos=function(){return this.throwIfDisposed(),opHandler.cos(this)},e.prototype.tan=function(){return this.throwIfDisposed(),opHandler.tan(this)},e.prototype.asin=function(){return this.throwIfDisposed(),opHandler.asin(this)},e.prototype.acos=function(){return this.throwIfDisposed(),opHandler.acos(this)},e.prototype.atan=function(){return this.throwIfDisposed(),opHandler.atan(this)},e.prototype.sinh=function(){return this.throwIfDisposed(),opHandler.sinh(this)},e.prototype.cosh=function(){return this.throwIfDisposed(),opHandler.cosh(this)},e.prototype.tanh=function(){return this.throwIfDisposed(),opHandler.tanh(this)},e.prototype.asinh=function(){return this.throwIfDisposed(),opHandler.asinh(this)},e.prototype.acosh=function(){return this.throwIfDisposed(),opHandler.acosh(this)},e.prototype.atanh=function(){return this.throwIfDisposed(),opHandler.atanh(this)},e.prototype.erf=function(){return this.throwIfDisposed(),opHandler.erf(this)},e.prototype.round=function(){return this.throwIfDisposed(),opHandler.round(this)},e.prototype.step=function(e){return void 0===e&&(e=0),this.throwIfDisposed(),opHandler.step(this,e)},e.prototype.softmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),opHandler.softmax(this,e)},e.prototype.resizeBilinear=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeBilinear(this,e,t)},e.prototype.resizeNearestNeighbor=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeNearestNeighbor(this,e,t)},e.prototype.conv1d=function(e,t,n,r,o,a){return void 0===r&&(r=\"NWC\"),void 0===o&&(o=1),this.throwIfDisposed(),opHandler.conv1d(this,e,t,n,r,o,a)},e.prototype.conv2d=function(e,t,n,r,o,a){return void 0===r&&(r=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.conv2d(this,e,t,n,r,o,a)},e.prototype.conv2dTranspose=function(e,t,n,r,o){return this.throwIfDisposed(),opHandler.conv2dTranspose(this,e,t,n,r,o)},e.prototype.depthwiseConv2D=function(e,t,n,r,o,a){return void 0===r&&(r=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.depthwiseConv2d(this,e,t,n,r,o,a)},e.prototype.separableConv2d=function(e,t,n,r,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a=\"NHWC\"),this.throwIfDisposed(),opHandler.separableConv2d(this,e,t,n,r,o,a)},e.prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),opHandler.avgPool(this,e,t,n,r)},e.prototype.maxPool=function(e,t,n,r){return this.throwIfDisposed(),opHandler.maxPool(this,e,t,n,r)},e.prototype.localResponseNormalization=function(e,t,n,r){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===n&&(n=1),void 0===r&&(r=.5),opHandler.localResponseNormalization(this,e,t,n,r)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),Variable.variable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),opHandler.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),opHandler.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),opHandler.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),opHandler.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,n,r,o){return void 0===r&&(r=0),void 0===o&&(o=0),this.throwIfDisposed(),opHandler.stridedSlice(this,e,t,n,r,o)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),opHandler.depthToSpace(this,e,t)},e.nextId=0,e}();Object.defineProperty(Tensor,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.shape&&null!=e.dtype}});var Variable=function(e){function t(n,r,o){void 0===r&&(r=!0);var a=e.call(this,n.shape,n.dtype,null,n.dataId)||this;a.trainable=r,a.name=o,null==a.name&&(a.name=t.nextVarId.toString(),t.nextVarId++);try{trackerFn().registerVariable(a)}catch(e){throw trackerFn().disposeTensor(a),e}return a}return __extends(t,e),t.variable=function(e,n,r,o){return void 0===n&&(n=!0),null!=o&&o!==e.dtype&&(e=e.asType(o)),new t(e,n,r)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error(\"dtype of the new value (\"+e.dtype+\") and previous value (\"+this.dtype+\") must match\");if(!arraysEqual(e.shape,this.shape))throw new Error(\"shape of the new value (\"+e.shape+\") and previous value (\"+this.shape+\") must match\");trackerFn().disposeTensor(this),this.dataId=e.dataId,trackerFn().registerTensor(this)},t.nextVarId=0,t}(Tensor);Object.defineProperty(Variable,Symbol.hasInstance,{value:function(e){return e instanceof Tensor&&null!=e.assign&&e.assign instanceof Function}});var variable=Variable.variable;function getFilteredNodesXToY(e,t,n){for(var r={},o={},a=0;a<t.length;a++)r[t[a].id]=!0;for(a=0;a<e.length;a++){var i=(f=e[a]).inputs;for(var s in i){for(var u=i[s],l=!1,c=0;c<t.length;c++)if(r[u.id]){f.outputs.forEach(function(e){return r[e.id]=!0}),l=!0,o[f.id]=!0;break}if(l)break}}var p={};p[n.id]=!0;var d={};for(a=e.length-1;a>=0;a--)for(i=(f=e[a]).inputs,c=0;c<f.outputs.length;c++)if(p[f.outputs[c].id]){for(var s in i)p[i[s].id]=!0,d[f.id]=!0;break}var h=[];for(a=0;a<e.length;a++){var f;if(o[(f=e[a]).id]&&d[f.id]){var m={};for(var s in f.inputs){var g=f.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},f);v.inputs=m,v.outputs=f.outputs,h.push(v)}}return h}function backpropagateGradients(e,t){for(var n=function(n){var r=t[n],o=[];if(r.outputs.forEach(function(t){var n=e[t.id];if(null!=n)o.push(n);else{var r=Tensor.make(t.shape,{values:makeZerosTypedArray(t.size,t.dtype)},t.dtype);o.push(r)}}),null==r.gradient)throw new Error(\"Cannot compute gradient: gradient function not found for \"+r.name+\".\");var a=r.gradient(1===r.outputs.length?o[0]:o);for(var i in r.inputs){if(!(i in a))throw new Error(\"Cannot backprop through input \"+i+\". Available gradients found: \"+Object.keys(a)+\".\");var s=a[i](),u=r.inputs[i];if(!arraysEqual(s.shape,u.shape))throw new Error(\"Error in gradient for op \"+r.name+\". The gradient of input '\"+i+\"' has shape '\"+s.shape+\"', which does not match the shape of the input '\"+u.shape+\"'\");if(null==e[u.id])e[u.id]=s;else{var l=e[u.id];e[u.id]=l.add(s),l.dispose()}}},r=t.length-1;r>=0;r--)n(r)}function assertTypesMatch(e,t){assert(e.dtype===t.dtype,\"The dtypes of the first(\"+e.dtype+\") and second(\"+t.dtype+\") input must match\")}function isTensorInList(e,t){for(var n=0;n<t.length;n++)if(t[n].id===e.id)return!0;return!1}function getTensorsInContainer(e){var t=[];return walkTensorContainer(e,t,new Set),t}function walkTensorContainer(e,t,n){if(null!=e)if(e instanceof Tensor)t.push(e);else if(isIterable(e)){var r=e;for(var o in r){var a=r[o];n.has(a)||(n.add(a),walkTensorContainer(a,t,n))}}}function isIterable(e){return Array.isArray(e)||\"object\"==typeof e}var Type,Engine=function(){function e(e,t,n){this.backend=e,this.safeMode=t,this.debugMode=n,this.registeredVariables={},this.refCounter=new WeakMap,this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numDataBuffers=0,this.profiling=!1,this.gradientScopeCount=0,this.customGradientDepth=0,this.keepTensors=new Set,this.activeScope={track:[],name:\"default scope\"},this.scopeStack=[this.activeScope],this.profiler=new Profiler(e),this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.tidy=function(e,t,n){var r=this;void 0===n&&(n=!1);var o,a=null;if(null==t){if(\"function\"!=typeof e)throw new Error(\"Please provide a function to tidy()\");t=e}else{if(\"string\"!=typeof e&&!(e instanceof String))throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");if(\"function\"!=typeof t)throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");a=e}return this.scopedRun(function(){return r.startScope(a,n)},function(){return r.endScope(o,n)},function(){return(o=t())instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o})},e.prototype.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},e.prototype.runKernel=function(e,t,n){var r,o=this,a=[],i=function(e){return a.push(e),e},s=this.activeScope.name,u=this.numBytes,l=this.numTensors;if(this.scopedRun(function(){return o.customGradientDepth++},function(){return o.customGradientDepth--},function(){r=o.debugMode()?o.profiler.profileKernel(s,function(){return e(o.backend,i)}):e(o.backend,i)}),this.shouldRecord()){var c={id:this.nextTapeNodeId++,name:s,inputs:t,outputs:Array.isArray(r)?r:[r]};null!=n&&(c.gradient=function(e){return n(e,a)}),this.activeTape.push(c)}return this.profiling&&this.activeProfile.kernels.push({name:s,bytesAdded:this.numBytes-u,totalBytesSnapshot:this.numBytes,tensorsAdded:this.numTensors-l,totalTensorsSnapshot:this.numTensors,inputShapes:Object.keys(t).map(function(e){return t[e].shape}),outputShape:Array.isArray(r)?r.map(function(e){return e.shape}):r.shape}),r},e.prototype.registerTensor=function(e){var t=this.refCounter.has(e.dataId)?this.refCounter.get(e.dataId):0;this.numTensors++,0===t&&(this.numDataBuffers++,\"complex64\"!==e.dtype&&(this.numBytes+=sizeFromShape(e.shape)*bytesPerElement(e.dtype)),this.backend.register(e.dataId,e.shape,e.dtype)),this.refCounter.set(e.dataId,t+1),e instanceof Variable||this.track(e)},e.prototype.registerVariable=function(e){if(null!=this.registeredVariables[e.name])throw new Error(\"Variable with name \"+e.name+\" was already registered\");this.registeredVariables[e.name]=e},e.prototype.disposeTensor=function(e){if(this.refCounter.has(e.dataId)){this.keepTensors.has(e.id)&&this.keepTensors.delete(e.id),this.numTensors--;var t=this.refCounter.get(e.dataId);t<=1?(this.refCounter.delete(e.dataId),this.backend.disposeData(e.dataId),this.numDataBuffers--,\"complex64\"!==e.dtype&&(this.numBytes-=sizeFromShape(e.shape)*bytesPerElement(e.dtype))):this.refCounter.set(e.dataId,t-1)}},e.prototype.disposeVariables=function(){for(var e in this.registeredVariables){var t=this.registeredVariables[e];this.disposeTensor(t),delete this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.profile=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){return this.profiling=!0,t=this.numBytes,n=this.numTensors,this.activeProfile.kernels=[],this.activeProfile.result=e(),this.profiling=!1,this.activeProfile.peakBytes=Math.max.apply(Math,this.activeProfile.kernels.map(function(e){return e.totalBytesSnapshot})),this.activeProfile.newBytes=this.numBytes-t,this.activeProfile.newTensors=this.numTensors-n,[2,this.activeProfile]})})},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,n){var r={};e.forEach(function(e,t){r[t]=e});var o={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:r,outputs:[t],gradient:function(e){var t={};return n(e).forEach(function(e,n){t[n]=function(){return e}}),t}};this.activeTape.push(o)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.\");return this.keepTensors.add(e.id),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var n={track:[],name:\"unnamed scope\"};e&&(n.name=e),this.scopeStack.push(n),this.activeScope=n},e.prototype.endScope=function(e,t){var n=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var r=new Set(this.keepTensors),o=getTensorsInContainer(e);o.forEach(function(e){return r.add(e.id)});for(var a=0;a<this.activeScope.track.length;a++){var i=this.activeScope.track[a];r.has(i.id)||(null!=this.activeTape?o.push(i):i.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?{track:[],name:\"default scope\"}:this.scopeStack[this.scopeStack.length-1],o.forEach(function(e){!n.keepTensors.has(e.id)&&isTensorInList(e,s.track)&&n.track(e)})},e.prototype.gradients=function(e,t,n,r){var o=this;return void 0===r&&(r=!1),assert(t.length>0,\"gradients() received an empty list of xs.\"),this.tidy(\"gradients\",function(){var a=e();assert(a instanceof Tensor,\"The result y returned by f() must be a tensor.\");var i=getFilteredNodesXToY(o.activeTape,t,a);if(!r&&0===i.length&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");var s={};return s[a.id]=null==n?ones(a.shape):n,backpropagateGradients(s,i),{value:a,grads:t.map(function(e){return s[e.id]})}},!0)},e.prototype.customGrad=function(e){var t=this;return assert(isFunction(e),\"The f passed in customGrad(f) must be a function.\"),function(){for(var n,r,o=[],a=0;a<arguments.length;a++)o[a]=arguments[a];if(assert(o.every(function(e){return e instanceof Tensor}),\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\"),t.scopedRun(function(){return t.customGradientDepth++},function(){return t.customGradientDepth--},function(){r=t.tidy(e.name,function(){var t=e.apply(void 0,o),r=t.value,a=t.gradFunc;return assert(r instanceof Tensor,\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),assert(isFunction(a),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n=a,r},!0)}),t.shouldRecord()){t.addTapeNode(o,r,function(e){var t=n(e),r=Array.isArray(t)?t:[t];return assert(r.length===o.length,\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),assert(r.every(function(e){return e instanceof Tensor}),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\"),r})}return r}},e.prototype.write=function(e,t){this.backend.write(e,t)},e.prototype.readSync=function(e){return this.backend.readSync(e)},e.prototype.read=function(e){return this.backend.read(e)},e.prototype.fromPixels=function(e,t){return this.backend.fromPixels(e,t)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:return t=now(),[4,this.backend.time(e)];case 1:return(n=r.sent()).wallMs=now()-t,[2,n]}})})},e.prototype.track=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.\");return this.activeScope.track.push(e),e},e}();function ones(e){var t=makeOnesTypedArray(sizeFromShape(e),\"float32\");return Tensor.make(e,{values:t})}!function(e){e[e.NUMBER=0]=\"NUMBER\",e[e.BOOLEAN=1]=\"BOOLEAN\",e[e.STRING=2]=\"STRING\"}(Type||(Type={}));var URL_PROPERTIES=[{name:\"DEBUG\",type:Type.BOOLEAN},{name:\"IS_BROWSER\",type:Type.BOOLEAN},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",type:Type.NUMBER},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",type:Type.BOOLEAN},{name:\"WEBGL_VERSION\",type:Type.NUMBER},{name:\"WEBGL_RENDER_FLOAT32_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_FENCE_API_ENABLED\",type:Type.BOOLEAN},{name:\"BACKEND\",type:Type.STRING},{name:\"EPSILON\",type:Type.NUMBER}];function isWebGLVersionEnabled(e,t){var n;try{n=getWebGLRenderingContext(e,t)}catch(e){return!1}return null!=n&&(loseContext(n),!0)}function getWebGLDisjointQueryTimerVersion(e,t){if(0===e)return 0;var n,r=getWebGLRenderingContext(e,t);return n=hasExtension(r,\"EXT_disjoint_timer_query_webgl2\")&&2===e?2:hasExtension(r,\"EXT_disjoint_timer_query\")?1:0,null!=r&&loseContext(r),n}function isRenderToFloatTextureEnabled(e,t){if(0===e)return!1;var n=getWebGLRenderingContext(e,t);if(1===e){if(!hasExtension(n,\"OES_texture_float\"))return!1}else if(!hasExtension(n,\"EXT_color_buffer_float\"))return!1;var r=createFloatTextureAndBindToFramebuffer(n,e);return loseContext(n),r}function isDownloadFloatTextureEnabled(e,t){if(0===e)return!1;var n=getWebGLRenderingContext(e,t);if(1===e){if(!hasExtension(n,\"OES_texture_float\"))return!1;if(!hasExtension(n,\"WEBGL_color_buffer_float\"))return!1}else if(!hasExtension(n,\"EXT_color_buffer_float\"))return!1;var r=createFloatTextureAndBindToFramebuffer(n,e);return loseContext(n),r}function isWebGLFenceEnabled(e,t){if(2!==e)return!1;var n=getWebGLRenderingContext(e,t),r=null!=n.fenceSync;return loseContext(n),r}function isChrome(){return\"undefined\"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}var TENSORFLOWJS_FLAGS_PREFIX=\"tfjsflags\";function getFeaturesFromURL(){var e={};if(\"undefined\"==typeof window||void 0===window.location)return e;var t=getQueryParams(window.location.search);if(TENSORFLOWJS_FLAGS_PREFIX in t){var n={};t[TENSORFLOWJS_FLAGS_PREFIX].split(\",\").forEach(function(e){var t=e.split(\":\"),r=t[0],o=t[1];n[r]=o}),URL_PROPERTIES.forEach(function(t){t.name in n&&(console.log(\"Setting feature override from URL \"+t.name+\": \"+n[t.name]),t.type===Type.NUMBER?e[t.name]=+n[t.name]:t.type===Type.BOOLEAN?e[t.name]=\"true\"===n[t.name]:t.type===Type.STRING?e[t.name]=n[t.name]:console.warn(\"Unknown URL param: \"+t.name+\".\"))})}return e}function hasExtension(e,t){return null!=e.getExtension(t)}function getWebGLRenderingContext(e,t){if(0===e||!t)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");var n=document.createElement(\"canvas\");return 1===e?n.getContext(\"webgl\")||n.getContext(\"experimental-webgl\"):n.getContext(\"webgl2\")}function loseContext(e){if(null!=e){var t=e.getExtension(\"WEBGL_lose_context\");if(null==t)throw new Error(\"Extension WEBGL_lose_context not supported on this browser.\");t.loseContext()}}function createFloatTextureAndBindToFramebuffer(e,t){var n=e.createFramebuffer(),r=e.createTexture();e.bindTexture(e.TEXTURE_2D,r);var o=2===t?e.RGBA32F:e.RGBA;e.texImage2D(e.TEXTURE_2D,0,o,1,1,0,e.RGBA,e.FLOAT,null),e.bindFramebuffer(e.FRAMEBUFFER,n),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,r,0);var a=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(r),e.deleteFramebuffer(n),a}function getQueryParams(e){var t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];return decodeParam(t,n[0],n[1]),n.join(\"=\")}),t}function decodeParam(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||\"\")}var EPSILON_FLOAT16=.001,TEST_EPSILON_FLOAT16=.1,EPSILON_FLOAT32=1e-7,TEST_EPSILON_FLOAT32=.001,Environment=function(){function e(e){this.features={},this.engines={},this.registry={},null!=e&&(this.features=e),this.get(\"DEBUG\")&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")}return e.setBackend=function(e,t){if(void 0===t&&(t=!1),!(e in ENV.registry))throw new Error(\"Backend name '\"+e+\"' not found in registry\");ENV.initBackend(e,t)},e.getBackend=function(){return ENV.initDefaultBackend(),ENV.backendName},e.disposeVariables=function(){ENV.engine.disposeVariables()},e.memory=function(){return ENV.engine.memory()},e.profile=function(e){return ENV.engine.profile(e)},e.tidy=function(e,t,n){return void 0===n&&(n=!1),ENV.engine.tidy(e,t,n)},e.dispose=function(e){getTensorsInContainer(e).forEach(function(e){return e.dispose()})},e.keep=function(e){return ENV.engine.keep(e)},e.time=function(e){return ENV.engine.time(e)},e.prototype.get=function(e){return e in this.features?this.features[e]:(this.features[e]=this.evaluateFeature(e),this.features[e])},e.prototype.getFeatures=function(){return this.features},e.prototype.set=function(e,t){this.features[e]=t},e.prototype.getBestBackendName=function(){var e=this;if(0===Object.keys(this.registry).length)throw new Error(\"No backend found in registry.\");return Object.keys(this.registry).map(function(t){return{name:t,entry:e.registry[t]}}).sort(function(e,t){return t.entry.priority-e.entry.priority})[0].name},e.prototype.evaluateFeature=function(e){if(\"DEBUG\"===e)return!1;if(\"IS_BROWSER\"===e)return\"undefined\"!=typeof window;if(\"IS_NODE\"===e)return\"undefined\"!=typeof process&&void 0!==process.versions.node;if(\"IS_CHROME\"===e)return isChrome();if(\"IS_TEST\"===e)return!1;if(\"BACKEND\"===e)return this.getBestBackendName();if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"===e){var t=this.get(\"WEBGL_VERSION\");return 0===t?0:t>0?0:getWebGLDisjointQueryTimerVersion(t,this.get(\"IS_BROWSER\"))}if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\"===e)return this.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!isMobile();if(\"HAS_WEBGL\"===e)return this.get(\"WEBGL_VERSION\")>0;if(\"WEBGL_VERSION\"===e)return isWebGLVersionEnabled(2,this.get(\"IS_BROWSER\"))?2:isWebGLVersionEnabled(1,this.get(\"IS_BROWSER\"))?1:0;if(\"WEBGL_RENDER_FLOAT32_ENABLED\"===e)return isRenderToFloatTextureEnabled(this.get(\"WEBGL_VERSION\"),this.get(\"IS_BROWSER\"));if(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"===e)return isDownloadFloatTextureEnabled(this.get(\"WEBGL_VERSION\"),this.get(\"IS_BROWSER\"));if(\"WEBGL_FENCE_API_ENABLED\"===e)return isWebGLFenceEnabled(this.get(\"WEBGL_VERSION\"),this.get(\"IS_BROWSER\"));if(\"TEST_EPSILON\"===e)return 32===this.backend.floatPrecision()?TEST_EPSILON_FLOAT32:TEST_EPSILON_FLOAT16;if(\"EPSILON\"===e)return 32===this.backend.floatPrecision()?EPSILON_FLOAT32:EPSILON_FLOAT16;throw new Error(\"Unknown feature \"+e+\".\")},e.prototype.setFeatures=function(e){this.features=Object.assign({},e)},e.prototype.reset=function(){this.features=getFeaturesFromURL(),null!=this.globalEngine&&(this.globalEngine=null)},e.prototype.initBackend=function(e,t){var n=this;if(void 0===t&&(t=!1),this.backendName=e,this.engines[e])this.globalEngine=this.engines[e];else{var r=this.findBackend(e);this.globalEngine=new Engine(r,t,function(){return n.get(\"DEBUG\")}),this.engines[e]=this.globalEngine}},Object.defineProperty(e.prototype,\"backend\",{get:function(){return this.engine.backend},enumerable:!0,configurable:!0}),e.prototype.findBackend=function(e){return e in this.registry?this.registry[e].backend:null},e.prototype.registerBackend=function(e,t,n,r){var o=this;if(void 0===n&&(n=1),e in this.registry)return console.warn(e+\" backend was already registered. Reusing existing backend\"),null!=r&&r(function(){return o.engine}),!1;try{var a=t();return this.registry[e]={backend:a,priority:n},!0}catch(t){return console.warn(\"Registration of backend \"+e+\" failed\"),console.warn(t.stack||t.message),!1}},e.prototype.removeBackend=function(e){if(!(e in this.registry))throw new Error(e+\" backend not found in registry\");this.registry[e].backend.dispose(),delete this.registry[e],e in this.engines&&delete this.engines[e]},Object.defineProperty(e.prototype,\"engine\",{get:function(){return this.initDefaultBackend(),this.globalEngine},enumerable:!0,configurable:!0}),e.prototype.initDefaultBackend=function(){null==this.globalEngine&&this.initBackend(this.get(\"BACKEND\"),!1)},e}();function getGlobalNamespace(){var e;if(\"undefined\"!=typeof window)e=window;else{if(\"undefined\"==typeof process)throw new Error(\"Could not find a global object\");e=process}return e}function getOrMakeEnvironment(){var e=getGlobalNamespace();return null==e.ENV&&(e.ENV=new Environment(getFeaturesFromURL()),setTensorTracker(function(){return e.ENV.engine})),e.ENV}var ENV=getOrMakeEnvironment(),environment=Object.freeze({Environment:Environment,ENV:ENV});function grad(e){return assert(isFunction(e),\"The f passed in grad(f) must be a function\"),function(t,n){return assert(t instanceof Tensor,\"The x passed in grad(f)(x) must be a tensor\"),assert(null==n||n instanceof Tensor,\"The dy passed in grad(f)(x, dy) must be a tensor\"),ENV.engine.tidy(function(){var r=ENV.engine.gradients(function(){return e(t)},[t],n),o=r.value,a=r.grads;return null!=n&&assertShapesMatch(o.shape,n.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),checkGrads(a),a[0]})}}function grads(e){return assert(isFunction(e),\"The f passed in grads(f) must be a function\"),function(t,n){return assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in grads(f)(args) must be an array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in grads(f)(args, dy) must be a tensor\"),ENV.engine.tidy(function(){var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n),o=r.value,a=r.grads;return null!=n&&assertShapesMatch(o.shape,n.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(a),a})}}function valueAndGrad(e){return assert(isFunction(e),\"The f passed in valueAndGrad(f) must be a function\"),function(t,n){assert(t instanceof Tensor,\"The x passed in valueAndGrad(f)(x) must be a tensor\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e(t)},[t],n),o=r.grads,a=r.value;return checkGrads(o),{grad:o[0],value:a}}}function valueAndGrads(e){return assert(isFunction(e),\"The f passed in valueAndGrads(f) must be a function\"),function(t,n){assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n);return null!=n&&assertShapesMatch(r.value.shape,n.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(r.grads),r}}function variableGrads(e,t){if(assert(isFunction(e),\"The f passed in variableGrads(f) must be a function\"),assert(null==t||Array.isArray(t)&&t.every(function(e){return e instanceof Variable}),\"The varList passed in variableGrads(f, varList) must be an array of variables\"),null==t)for(var n in t=[],ENV.engine.registeredVariables)t.push(ENV.engine.registeredVariables[n]);var r=t.length;assert((t=t.filter(function(e){return e.trainable})).length>0,\"variableGrads() expects at least one of the input variables to be trainable, but none of the \"+r+\" variables is trainable.\");var o=ENV.engine.gradients(e,t,null,!0),a=o.value,i=o.grads;assert(i.some(function(e){return null!=e}),\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),assert(0===a.rank,\"The f passed in variableGrads(f) must return a scalar, but it returned a rank-\"+a.rank+\" tensor\");var s={};return t.forEach(function(e,t){null!=i[t]&&(s[e.name]=i[t])}),{value:a,grads:s}}function customGrad(e){return ENV.engine.customGrad(e)}function checkGrads(e){if(e.filter(function(e){return null==e}).length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that\\n    the f you passed encloses all operations that lead from x to y.\")}var tidy=Environment.tidy,keep=Environment.keep,dispose=Environment.dispose,time=Environment.time,profile=Environment.profile;function warn(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.get(\"IS_TEST\")||console.warn.apply(console,e)}function getReshaped(e,t,n,r){void 0===r&&(r=!0);var o=[];if(r)(o=o.concat(t.slice(0))).push(e[0]/n),o=o.concat(e.slice(1));else{o=o.concat(e[0]);for(var a=t.length,i=0;i<a;++i)o=o.concat([e[i+1]/t[i],t[i]]);o=o.concat(e.slice(a+1))}return o}function getPermuted(e,t,n){void 0===n&&(n=!0);var r=[];if(n){r.push(t);for(var o=t+1;o<e;++o)o<=2*t?(r.push(o),r.push(o-(t+1))):r.push(o)}else{var a=[],i=[];for(o=1;o<e;++o)o>=2*t+1||o%2==1?i.push(o):a.push(o);r.push.apply(r,a),r.push(0),r.push.apply(r,i)}return r}function getReshapedPermuted(e,t,n,r){void 0===r&&(r=!0);var o=[];r?o.push(e[0]/n):o.push(e[0]*n);for(var a=1;a<e.length;++a)a<=t.length?r?o.push(t[a-1]*e[a]):o.push(e[a]/t[a-1]):o.push(e[a]);return o}function getSliceBeginCoords(e,t){for(var n=[0],r=0;r<t;++r)n.push(e[r][0]);return n}function getSliceSize(e,t,n){for(var r=e.slice(0,1),o=0;o<n;++o)r.push(e[o+1]-t[o][0]-t[o][1]);return r}function axesAreInnerMostDims(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function combineLocations(e,t,n){for(var r=e.length+t.length,o=[],a=0,i=0,s=0;s<r;s++)-1===n.indexOf(s)?o.push(e[a++]):o.push(t[i++]);return o}function computeOutAndReduceShapes(e,t){for(var n=[],r=e.length,o=0;o<r;o++)-1===t.indexOf(o)&&n.push(e[o]);return[n,t.map(function(t){return e[t]})]}function expandShapeToKeepDim(e,t){return combineLocations(e,t.map(function(e){return 1}),t)}function parseAxisParam(e,t){var n=t.length;return assert((e=null==e?t.map(function(e,t){return t}):[].concat(e)).every(function(e){return e>=-n&&e<n}),\"All values in axis param must be in range [-\"+n+\", \"+n+\") but got axis \"+e),assert(e.every(function(e){return isInt(e)}),\"All values in axis param must be integers but got axis \"+e),e.map(function(e){return e<0?n+e:e})}function assertAxesAreInnerMostDims(e,t,n){assert(axesAreInnerMostDims(t,n),e+\" supports only inner-most axes for now. Got axes \"+t+\" and rank-\"+n+\" input.\")}function getAxesPermutation(e,t){if(axesAreInnerMostDims(e,t))return null;for(var n=[],r=0;r<t;++r)-1===e.indexOf(r)&&n.push(r);return e.forEach(function(e){return n.push(e)}),n}function getUndoAxesPermutation(e){return e.map(function(e,t){return[t,e]}).sort(function(e,t){return e[1]-t[1]}).map(function(e){return e[0]})}function getInnerMostAxes(e,t){for(var n=[],r=t-e;r<t;++r)n.push(r);return n}function assertParamsConsistent(e,t){var n=e[0].length;e.forEach(function(e,t){assert(e.length===n,\"Error in concat\"+n+\"D: rank of tensors[\"+t+\"] must be the same as the rank of the rest (\"+n+\")\")}),assert(t>=0&&t<n,\"Error in concat\"+n+\"D: axis must be between 0 and \"+(n-1)+\".\");var r=e[0];e.forEach(function(e,o){for(var a=0;a<n;a++)assert(a===t||e[a]===r[a],\"Error in concat\"+n+\"D: Shape of tensors[\"+o+\"] (\"+e+\") does not match the shape of the rest (\"+r+\") along the non-concatenated axis \"+o+\".\")})}function computeOutShape(e,t){for(var n=e[0].slice(),r=1;r<e.length;r++)n[t]+=e[r][t];return n}var PARALLELIZE_THRESHOLD=30;function computeOptimalWindowSize(e){return e<=PARALLELIZE_THRESHOLD?e:nearestDivisor(e,Math.floor(Math.sqrt(e)))}function segOpComputeOptimalWindowSize(e,t){var n,r=!1;for(e<=PARALLELIZE_THRESHOLD?(n=e,r=!0):n=nearestDivisor(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=nearestDivisor(e,n+1)}return n}function computeOutShape$1(e,t,n){for(var r=[],o=e.length,a=0;a<o;a++)a!==t?r.push(e[a]):r.push(n);return r}function assertParamsValid(e,t,n){assert(e.rank===t.length,\"Error in slice\"+e.rank+\"D: Length of begin \"+t+\" must match the rank of the array (\"+e.rank+\").\"),assert(e.rank===n.length,\"Error in slice\"+e.rank+\"D: Length of size \"+n+\" must match the rank of the array (\"+e.rank+\").\");for(var r=0;r<e.rank;++r)assert(t[r]+n[r]<=e.shape[r],\"Error in slice\"+e.rank+\"D: begin[\"+r+\"] + size[\"+r+\"] (\"+(t[r]+n[r])+\") would overflow input.shape[\"+r+\"] (\"+e.shape[r]+\")\")}function getStridedSlicedInfo(e,t,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");for(var l=[],c=[],p=[],d=0;d<e.length;d++)l[d]=startForAxis(o,t,r,e,d),c[d]=stopForAxis(a,n,r,e,d),u&1<<d&&(c[d]=l[d]+1,p.push(d));var h=new Array(e.length).fill(0);return h=h.map(function(e,t){for(var n=0,o=l[t];!(r[t]>0?o>=c[t]:o<=c[t]);o+=r[t])n+=1;return n}),[l,h,p]}function startForAxis(e,t,n,r,o){var a=t[o];e&1<<o&&(a=n[o]>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var i=r[o];return a<0&&(a+=i),a=clamp(0,a,i-1)}function stopForAxis(e,t,n,r,o){var a=t[o];e&1<<o&&(a=n[o]>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var i=r[o];return a<0&&(a+=i),a=n[o]>0?clamp(0,a,i):clamp(-1,a,i-1)}function convertToTensor(e,t,n,r){if(void 0===r&&(r=\"float32\"),r=r||\"float32\",e instanceof Tensor)return e;if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"Argument '\"+t+\"' passed to '\"+n+\"' must be a Tensor or TensorLike, but got \"+e.constructor.name);var o=inferShape(e);return isTypedArray(e)||Array.isArray(e)||(e=[e]),Tensor.make(o,{values:toTypedArray(e,r,ENV.get(\"DEBUG\"))},r)}function convertToTensorArray(e,t,n){if(!Array.isArray(e))throw new Error(\"Argument \"+t+\" passed to \"+n+\" must be a `Tensor[]` or `TensorLike[]`\");return e.map(function(e,r){return convertToTensor(e,t+\"[\"+r+\"]\",n)})}function op(e){var t=Object.keys(e);if(1!==t.length)throw new Error(\"Please provide an object with a single key (operation name) mapping to a function. Got an object with \"+t.length+\" keys.\");var n=t[0],r=e[n];n.endsWith(\"_\")&&(n=n.substring(0,n.length-1));var o=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.engine.startScope(n);try{var o=r.apply(void 0,e);return o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),ENV.engine.endScope(o),o}catch(e){throw ENV.engine.endScope(null),e}};return Object.defineProperty(o,\"name\",{value:n,configurable:!0}),o}function softmax_(e,t){void 0===t&&(t=-1);var n=convertToTensor(e,\"logits\",\"softmax\");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error(\"Softmax along a non-last dimension is not yet supported. Logits was rank \"+n.rank+\" and dim was \"+t);return customGrad(function(e){var n=e.logSumExp([t],!0),r=e.toFloat().sub(n).exp();return{value:r,gradFunc:function(e){var n=e.mul(r);return n.sub(n.sum([t],!0).mul(r))}}})(n)}var softmax=op({softmax_:softmax_});function complex_(e,t){var n=convertToTensor(e,\"real\",\"complex\"),r=convertToTensor(t,\"imag\",\"complex\");return assertShapesMatch(n.shape,r.shape,\"real and imag shapes, \"+n.shape+\" and \"+r.shape+\", must match in call to tf.complex().\"),ENV.engine.runKernel(function(e){return e.complex(n,r)},{$real:n,$imag:r})}function real_(e){var t=convertToTensor(e,\"input\",\"real\");return ENV.engine.runKernel(function(e){return e.real(t)},{$input:t})}function imag_(e){var t=convertToTensor(e,\"input\",\"imag\");return ENV.engine.runKernel(function(e){return e.imag(t)},{$input:t})}var complex=op({complex_:complex_}),real=op({real_:real_}),imag=op({imag_:imag_});function tensor(e,t,n){if(void 0===n&&(n=\"float32\"),\"complex64\"===n)throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"values passed to tensor(values) must be an array of numbers or booleans, or a TypedArray\");var r=inferShape(e);return null!=t&&1!==r.length&&assertShapesMatch(t,r,\"Error creating a new Tensor. Inferred shape (\"+r+\") does not match the provided shape (\"+t+\"). \"),isTypedArray(e)||Array.isArray(e)||(e=[e]),t=t||r,Tensor.make(t,{values:toTypedArray(e,n,ENV.get(\"DEBUG\"))},n)}function scalar(e,t){if(void 0===t&&(t=\"float32\"),(isTypedArray(e)||Array.isArray(e))&&\"complex64\"!==t)throw new Error(\"Error creating a new Scalar: value must be a primitive (number|boolean)\");return tensor(e,[],t)}function tensor1d(e,t){void 0===t&&(t=\"float32\"),assertNonNull(e);var n=inferShape(e);if(1!==n.length)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return tensor(e,n,t)}function tensor2d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&2!==t.length)throw new Error(\"tensor2d() requires shape to have two numbers\");var r=inferShape(e);if(2!==r.length&&1!==r.length)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return tensor(e,t=t||r,n)}function tensor3d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&3!==t.length)throw new Error(\"tensor3d() requires shape to have three numbers\");var r=inferShape(e);if(3!==r.length&&1!==r.length)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function tensor4d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&4!==t.length)throw new Error(\"tensor4d() requires shape to have four numbers\");var r=inferShape(e);if(4!==r.length&&1!==r.length)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function tensor5d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&5!==t.length)throw new Error(\"tensor5d() requires shape to have five numbers\");var r=inferShape(e);if(5!==r.length&&1!==r.length)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function tensor6d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&6!==t.length)throw new Error(\"tensor6d() requires shape to have six numbers\");var r=inferShape(e);if(6!==r.length&&1!==r.length)throw new Error(\"tensor6d() requires values to be number[][][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function ones$1(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var n=ones$1(e,\"float32\"),r=ones$1(e,\"float32\");return complex(n,r)}var o=makeOnesTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function zeros(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var n=zeros(e,\"float32\"),r=zeros(e,\"float32\");return complex(n,r)}var o=makeZerosTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function fill(e,t,n){void 0===n&&(n=\"float32\");var r=getTypedArrayFromDType(n,sizeFromShape(e));return r.fill(t),Tensor.make(e,{values:r},n)}function onesLike_(e){var t=convertToTensor(e,\"x\",\"onesLike\");return ones$1(t.shape,t.dtype)}function zerosLike_(e){var t=convertToTensor(e,\"x\",\"zerosLike\");return zeros(t.shape,t.dtype)}function linspace(e,t,n){if(0===n)throw new Error(\"Cannot request zero samples\");var r=(t-e)/(n-1),o=makeZerosTypedArray(n,\"float32\");o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+r;return tensor1d(o,\"float32\")}function range(e,t,n,r){if(void 0===n&&(n=1),void 0===r&&(r=\"float32\"),0===n)throw new Error(\"Cannot have a step of zero\");if(e===t||e<t&&n<0||t<e&&n>1)return zeros([0],r);var o=makeZerosTypedArray(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+n;return tensor1d(o,r)}var DType,Rank,UpcastInt32AndMap,UpcastBoolAndMap,UpcastFloat32AndMap,UpcastComplex64AndMap,onesLike=op({onesLike_:onesLike_}),zerosLike=op({zerosLike_:zerosLike_});!function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\"}(DType||(DType={})),function(e){e.R0=\"R0\",e.R1=\"R1\",e.R2=\"R2\",e.R3=\"R3\",e.R4=\"R4\",e.R5=\"R5\",e.R6=\"R6\"}(Rank||(Rank={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"int32\",e.complex64=\"complex64\"}(UpcastInt32AndMap||(UpcastInt32AndMap={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\",e.complex64=\"complex64\"}(UpcastBoolAndMap||(UpcastBoolAndMap={})),function(e){e.float32=\"float32\",e.int32=\"float32\",e.bool=\"float32\",e.complex64=\"complex64\"}(UpcastFloat32AndMap||(UpcastFloat32AndMap={})),function(e){e.float32=\"complex64\",e.int32=\"complex64\",e.bool=\"complex64\",e.complex64=\"complex64\"}(UpcastComplex64AndMap||(UpcastComplex64AndMap={}));var upcastTypeMap={float32:UpcastFloat32AndMap,int32:UpcastInt32AndMap,bool:UpcastBoolAndMap,complex64:UpcastComplex64AndMap};function upcastType(e,t){return upcastTypeMap[e][t]}function sumOutType(e){return upcastType(e,\"int32\")}function castTensor(e,t,n){if(\"complex64\"===t){if(\"complex64\"===e.dtype)return e.clone();var r=zeros(e.shape),o=e.toFloat(),a=n.complex(o,r);return r.dispose(),o.dispose(),a}if(!hasEncodingLoss(e.dtype,t))return Tensor.make(e.shape,{dataId:e.dataId},t);if(\"complex64\"===e.dtype){var i=n.real(e);a=i.cast(t);return i.dispose(),a}if(\"int32\"===t)return n.int(e);if(\"bool\"===t){var s=scalar(0,e.dtype);a=n.notEqual(e,s);return s.dispose(),a}throw new Error(\"Error in Cast: unknown dtype argument (\"+t+\")\")}function reshapeTensor(e,t){return Tensor.make(t,{dataId:e.dataId},e.dtype)}function mergeRealAndImagArrays(e,t){if(e.length!==t.length)throw new Error(\"Cannot merge real and imag arrays of different lengths. real:\"+e.length+\", imag: \"+t.length+\".\");for(var n=new Float32Array(2*e.length),r=0;r<n.length;r+=2)n[r]=e[r/2],n[r+1]=t[r/2];return n}function nonMaxSuppressionImpl(e,t,n,r,o){for(var a=Array.from(t).map(function(e,t){return{score:e,boxIndex:t}}).filter(function(e){return e.score>o}).sort(function(e,t){return t.score-e.score}),i=[],s=0;s<a.length;s++){var u=a[s],l=u.score,c=u.boxIndex;if(l<o)break;for(var p=!1,d=i.length-1;d>=0;--d){if(intersectionOverUnion(e,c,i[d])>=r){p=!0;break}}if(!p&&(i.push(c),i.length>=n))break}return tensor1d(i,\"int32\")}function intersectionOverUnion(e,t,n){var r=e.subarray(4*t,4*t+4),o=e.subarray(4*n,4*n+4),a=Math.min(r[0],r[2]),i=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),d=Math.max(o[1],o[3]),h=(s-a)*(u-i),f=(p-l)*(d-c);if(h<=0||f<=0)return 0;var m=Math.max(a,l),g=Math.max(i,c),v=Math.min(s,p),x=Math.min(u,d),y=Math.max(v-m,0)*Math.max(x-g,0);return y/(h+f-y)}function split(e,t,n){var r=Array(e.rank).fill(0),o=e.shape.slice();return t.map(function(t){o[n]=t;var a=e.slice(r,o);return r[n]+=t,a})}function topkImpl(e,t,n,r,o){for(var a=t[t.length-1],i=[e.length/a,a],s=i[0],u=i[1],l=getTypedArrayFromDType(n,s*r),c=getTypedArrayFromDType(\"int32\",s*r),p=0;p<s;p++){for(var d=p*u,h=e.subarray(d,d+u),f=[],m=0;m<h.length;m++)f.push({value:h[m],index:m});f.sort(function(e,t){return t.value-e.value});var g=p*r,v=l.subarray(g,g+r),x=c.subarray(g,g+r);for(m=0;m<r;m++)v[m]=f[m].value,x[m]=f[m].index}var y=t.slice();return y[y.length-1]=r,[tensor(l,y,n),tensor(c,y,\"int32\")]}var ArgMinMaxProgram=function(){return function(e,t,n){this.variableNames=[\"A\"];var r=e.windowSize,o=e.batchSize,a=e.inSize,i=Math.ceil(a/r);n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[o,i];var s=\"max\"===t?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+r+\";\\n\\n        int bestIndex = 0;\\n        float bestValue = getA(batch, inOffset);\\n\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          int inIdx = \"+u+\";\\n          float candidate = getA(batch, inIdx);\\n          if (candidate \"+s+\" bestValue) {\\n            bestValue = candidate;\\n            bestIndex = inIdx;\\n          }\\n        }\\n        setOutput(float(bestIndex));\\n      }\\n    \"}}(),AvgPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=1/(t*n);this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n      const float avgMultiplier = float(\"+s+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n\\n            dotProd += dyValue * avgMultiplier;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}();function getBroadcastDims(e,t){for(var n=e.length,r=[],o=0;o<n;o++){var a=n-1-o,i=e[a]||1;(t[t.length-1-o]||1)>1&&1===i&&r.unshift(a)}return r}function getReductionAxes(e,t){for(var n=[],r=0;r<t.length;r++){var o=e[e.length-r-1],a=t.length-r-1,i=t[a];(null==o||1===o&&i>1)&&n.unshift(a)}return n}function broadcastDimsAreOuter(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}function assertAndGetBroadcastShape(e,t){for(var n=[],r=Math.max(e.length,t.length),o=0;o<r;o++){var a=e[e.length-o-1];null==a&&(a=1);var i=t[t.length-o-1];if(null==i&&(i=1),1===a)n.unshift(i);else if(1===i)n.unshift(a);else{if(a!==i)throw Error(\"Operands could not be broadcast together with shapes \"+e+\" and \"+t+\".\");n.unshift(a)}}return n}var BatchNormProgram=function(){return function(e,t,n,r,o,a){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,n);var i=\"0.0\";null!=r&&(assertAndGetBroadcastShape(e,r),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");var s=\"1.0\";null!=o&&(assertAndGetBroadcastShape(e,o),this.variableNames.push(\"scale\"),s=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float x = getXAtOutCoords();\\n        float mean = getMeanAtOutCoords();\\n        float variance = getVarianceAtOutCoords();\\n        float offset = \"+i+\";\\n        float scale = \"+s+\";\\n        float inv = scale * inversesqrt(variance + float(\"+a+\"));\\n        setOutput((x - mean) * inv + offset);\\n      }\\n    \"}}(),COMPLEX_MULTIPLY={REAL:\"return areal * breal - aimag * bimag;\",IMAG:\"return areal * bimag + aimag * breal;\"},BinaryOpComplexProgram=function(){return function(e,t,n){this.variableNames=[\"AReal\",\"AImag\",\"BReal\",\"BImag\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,n),this.userCode=\"\\n      float binaryOpComplex(\\n          float areal, float aimag, float breal, float bimag) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float areal = getARealAtOutCoords();\\n        float aimag = getAImagAtOutCoords();\\n        float breal = getBRealAtOutCoords();\\n        float bimag = getBImagAtOutCoords();\\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET=\"\\n  if (isNaN(a)) return a;\\n  if (isNaN(b)) return b;\\n\",ADD=\"return a + b;\",SUB=\"return a - b;\",MUL=\"return a * b;\",DIV=\"if (a == b) return 1.0;\\n  return a / b;\",INT_DIV=\"\\n  float resultSign = sign(a) * sign(b);\\n  int ia = round(a);\\n  int ib = round(b);\\n  int result = ia / ib;\\n  int amodb = ia - ib * result;\\n\\n  if (resultSign < 0.0 && amodb != 0) {\\n    result -= 1;\\n  }\\n  return float(result);\\n\",POW=\"\\nif(a < 0.0 && floor(b) < b){\\n  return NAN;\\n}\\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\\n\",SQUARED_DIFFERENCE=\"return (a - b) * (a - b);\",EQUAL=\"return float(a == b);\",NOT_EQUAL=\"return float(a != b);\",LESS=\"return float(a < b);\",LESS_EQUAL=\"return float(a <= b);\",GREATER=\"return float(a > b);\",GREATER_EQUAL=\"return float(a >= b);\",LOGICAL_AND=\"return float(a >= 1.0 && b >= 1.0);\",LOGICAL_OR=\"return float(a >= 1.0 || b >= 1.0);\",MAX=CHECK_NAN_SNIPPET+\"\\n  return max(a, b);\\n\",MIN=CHECK_NAN_SNIPPET+\"\\n  return min(a, b);\\n\",MOD=\"if (b == 0.0) return NAN;\\n  return mod(a, b);\",ATAN2=CHECK_NAN_SNIPPET+\"\\n  return atan(a, b);\\n\",ELU_DER=\"return (b >= 1.0) ? a : a * (b + 1.0);\",BinaryOpProgram=function(){function e(e,t,n){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,n),this.userCode=\"\\n      uniform float NAN;\\n      float binaryOperation(float a, float b) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float a = getAAtOutCoords();\\n        float b = getBAtOutCoords();\\n        setOutput(binaryOperation(a, b));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),ClipProgram=function(){return function(e,t,n){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float value = getAAtOutCoords();\\n        if (isNaN(value)) {\\n          setOutput(value);\\n          return;\\n        }\\n\\n        setOutput(clamp(value, float(\"+t+\"), float(\"+n+\")));\\n      }\\n    \"}}(),ConcatProgram=function(){return function(e,t){this.variableNames=[\"A\",\"B\"],this.outputShape=[],this.outputShape=computeOutShape([e,t],1),this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int yR = coords.x;\\n        int yC = coords.y;\\n\\n        float value = 0.0;\\n        if (yC < \"+e[1]+\") {\\n          value = getA(yR, yC);\\n        } else {\\n          yC -= \"+e[1]+\";\\n          value = getB(yR, yC);\\n        }\\n\\n        setOutput(value);\\n      }\\n    \"}}(),Conv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,o=e.padInfo.left;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int d2 = coords.w;\\n\\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            for (int d2 = 0; d2 < \"+e.outChannels+\"; d2++) {\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,o=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int dm = coords.w;\\n        int d2 = d1 * \"+a+\" + dm;\\n\\n        float dotProd = 0.0;\\n\\n        // TODO: Vec4 over the batch size\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        float dotProd = 0.0;\\n\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            // TODO: Vec4 over the channelMul\\n            for (int dm = 0; dm < \"+s+\"; dm++) {\\n              int d2 = d1 * \"+s+\" + dm;\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+r+\", \"+o+\");\\n      const ivec2 pads = ivec2(\"+t+\", \"+n+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d2 = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\"; wR++) {\\n          int xR = xRCorner + wR * \"+a+\";\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+u+\"; wC++) {\\n            int xC = xCCorner + wC * \"+i+\";\\n\\n            if (xC < 0 || xC >= \"+e.inWidth+\") {\\n              continue;\\n            }\\n\\n            for (int d1 = 0; d1 < \"+l+\"; d1 += 4) {\\n              vec4 xValues = vec4(\\n                getX(batch, xR, xC, d1),\\n                getX(batch, xR, xC, d1 + 1),\\n                getX(batch, xR, xC, d1 + 2),\\n                getX(batch, xR, xC, d1 + 3)\\n              );\\n              vec4 wValues = vec4(\\n                getW(wR, wC, d1, d2),\\n                getW(wR, wC, d1 + 1, d2),\\n                getW(wR, wC, d1 + 2, d2),\\n                getW(wR, wC, d1 + 3, d2)\\n              );\\n\\n              dotProd += dot(xValues, wValues);\\n            }\\n\\n            if (\"+(1===c)+\") {\\n              dotProd +=\\n                getX(batch, xR, xC, \"+l+\") *\\n                getW(wR, wC, \"+l+\", d2);\\n            } else if (\"+(2===c)+\") {\\n              vec2 xValues = vec2(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1)\\n              );\\n              vec2 wValues = vec2(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            } else if (\"+(3===c)+\") {\\n              vec3 xValues = vec3(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1),\\n                getX(batch, xR, xC, \"+l+\" + 2)\\n              );\\n              vec3 wValues = vec3(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2),\\n                getW(wR, wC, \"+l+\" + 2, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,o=e.padInfo.left,a=e.strideHeight,i=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,p=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+r+\", \"+o+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords.x;\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int d2 = coords.w;\\n        int d1 = d2 / \"+p+\";\\n        int q = d2 - d1 * \"+p+\";\\n\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\\n        for (int wR = 0; wR < \"+l+\"; wR++) {\\n          int xR = xRCorner + wR * \"+s+\";\\n\\n          if (xR < 0 || xR >= \"+t+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+c+\"; wC++) {\\n            int xC = xCCorner + wC * \"+u+\";\\n\\n            if (xC < 0 || xC >= \"+n+\") {\\n              continue;\\n            }\\n\\n            float xVal = getX(batch, xR, xC, d1);\\n            float wVal = getW(wR, wC, d1, q);\\n            dotProd += xVal * wVal;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),CropAndResizeProgram=function(){return function(e,t,n,r,o){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];var a=e[0],i=e[1],s=e[2],u=e[3],l=t[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var d=\"bilinear\"===r?1:0,h=[i-1+\".0\",s-1+\".0\"],f=h[0],m=h[1],g=c>1?[\"\"+(i-1)/(c-1),\"(y2-y1) * height_ratio\",\"y1*\"+f+\" + float(y)*(height_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (y1+y2) * \"+f],v=g[0],x=g[1],y=g[2],T=p>1?[\"\"+(s-1)/(p-1),\"(x2-x1) * width_ratio\",\"x1*\"+m+\" + float(x)*(width_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (x1+x2) * \"+m],b=T[0],S=T[1],E=T[2];this.userCode=\"\\n      const float height_ratio = float(\"+v+\");\\n      const float width_ratio = float(\"+b+\");\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int y = coords[1];\\n        int x = coords[2];\\n        int d = coords[3];\\n\\n        // get box vals\\n        float y1 = getBoxes(b,0);\\n        float x1 = getBoxes(b,1);\\n        float y2 = getBoxes(b,2);\\n        float x2 = getBoxes(b,3);\\n\\n        // get image in batch index\\n        int bInd = round(getBoxInd(b));\\n        if(bInd < 0 || bInd >= \"+a+\") {\\n          return;\\n        }\\n\\n        float height_scale = \"+x+\";\\n        float width_scale = \"+S+\";\\n\\n        float in_y = \"+y+\";\\n        if( in_y < 0.0 || in_y > \"+f+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n        float in_x = \"+E+\";\\n        if( in_x < 0.0 || in_x > \"+m+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n\\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\\n        if(\"+d+\" == 1) {\\n          // Compute the four integer indices.\\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\\n\\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n          float newValue = top + (bottom - top) * fracRC.x;\\n          setOutput(newValue);\\n        } else {\\n          // Compute the coordinators of nearest neighbor point.\\n          ivec2 sourceNearestRC = ivec2(floor(\\n            sourceFracIndexRC + vec2(0.5,0.5)));\\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n          setOutput(newValue);\\n        }\\n      }\\n    \"}}();function makeShader(e,t,n,r){var o=e.map(function(e){var t=sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?\"uniform float \"+e.name+(t>1?\"[\"+t+\"]\":\"\")+\";\":\"uniform sampler2D \"+e.name+\";\"});o=o.join(\"\\n\");var a,i=e.map(function(e){return getInputSamplingSnippet(e,t,r)}).join(\"\\n\"),s=t.texShape;return a=t.isPacked?getPackedOutputSamplingSnippet(t.logicalShape,s):getOutputSamplingSnippet(t.logicalShape,s),[SHADER_PREFIX,FLOAT_TEXTURE_SAMPLE_SNIPPET,FLOAT_TEXTURE_SETOUTPUT_SNIPPET,o,a,i,n].join(\"\\n\")}function getSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return getSamplerScalar(e);case 1:return getSampler1D(e);case 2:return getSampler2D(e);case 3:return getSampler3D(e);case 4:return getSampler4D(e);case 5:return getSampler5D(e);case 6:return getSampler6D(e);default:throw new Error(t.length+\"-D input sampling is not yet supported\")}}function getInputSamplingSnippet(e,t,n){var r=getSamplerFlat(e);return r+=getSamplerFromInInfo(e),(n||arraysEqual(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=getSamplerAtOutputCoords(e,t,n)),r}function getPackedOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 2:return getOutputPacked2DCoords(e,t);default:throw new Error(e.length+\"-D output packed sampling is not yet supported\")}}function getOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutput1DCoords(e,t);case 2:return getOutput2DCoords(e,t);case 3:return getOutput3DCoords(e,t);case 4:return getOutput4DCoords(e,t);case 5:return getOutput5DCoords(e,t);case 6:return getOutput6DCoords(e,t);default:throw new Error(e.length+\"-D output sampling is not yet supported\")}}var SAMPLE_1D_SNIPPET=\"\\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_2D_SNIPPET=\"\\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\\n  int index = row * numC + col;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_3D_SNIPPET=\"\\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\\n    int stride1, int row, int col, int depth) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_4D_SNIPPET=\"\\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int row, int col, int depth,\\n    int depth2) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_5D_SNIPPET=\"\\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int row, int col, int depth,\\n    int depth2, int depth3) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 +\\n              depth * stride2 + depth2 * stride3 + depth3;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_6D_SNIPPET=\"\\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int stride4,\\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\\n    stride3 + depth3 * stride4 + depth4;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",FLOAT_TEXTURE_SAMPLE_SNIPPET=\"\\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n    return texture2D(textureSampler, uv).r;\\n  }\\n\",FLOAT_TEXTURE_SETOUTPUT_SNIPPET=\"\\n  void setOutput(float val) {\\n    gl_FragColor = vec4(val, 0, 0, 0);\\n  }\\n\",SHADER_PREFIX=\"\\n  precision highp float;\\n  precision highp int;\\n  varying vec2 resultUV;\\n  const vec2 halfCR = vec2(0.5, 0.5);\\n\\n  struct ivec5\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n  };\\n\\n  struct ivec6\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n    int v;\\n  };\\n\\n  bool isNaN(float val) {\\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : true;\\n  }\\n\\n  bool hasNaN(vec4 values) {\\n    vec4 v1 = values * values;\\n    vec4 v2 = values * values;\\n    return any(notEqual(v1, v2));\\n  }\\n\\n  float getNaN(vec4 values) {\\n    return dot(vec4(1), values);\\n  }\\n\\n  int round(float value) {\\n    return int(floor(value + 0.5));\\n  }\\n\\n  int imod(int x, int y) {\\n    return x - y * (x / y);\\n  }\\n\\n  //Based on the work of Dave Hoskins\\n  //https://www.shadertoy.com/view/4djSRW\\n  #define HASHSCALE1 443.8975\\n  float random(float seed){\\n    vec2 p = resultUV * seed;\\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\\n    p3 += dot(p3, p3.yzx + 19.19);\\n    return fract((p3.x + p3.y) * p3.z);\\n  }\\n\\n  \"+SAMPLE_1D_SNIPPET+\"\\n  \"+SAMPLE_2D_SNIPPET+\"\\n  \"+SAMPLE_3D_SNIPPET+\"\\n  \"+SAMPLE_4D_SNIPPET+\"\\n  \"+SAMPLE_5D_SNIPPET+\"\\n  \"+SAMPLE_6D_SNIPPET+\"\\n\";function getOutputScalarCoords(){return\"\\n    int getOutputCoords() {\\n      return 0;\\n    }\\n  \"}function getOutput1DCoords(e,t){return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.x * \"+t[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.y * \"+t[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      return resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutput3DCoords(e,t){var n=e[1]*e[2],r=e[2];return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+n+\";\\n      index -= r * \"+n+\";\\n      int c = index / \"+r+\";\\n      int d = index - c * \"+r+\";\\n      return ivec3(r, c, d);\\n    }\\n  \"}function getOutput4DCoords(e,t){var n=e[3],r=e[2]*n,o=e[1]*r;return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+o+\";\\n      index -= r * \"+o+\";\\n\\n      int c = index / \"+r+\";\\n      index -= c * \"+r+\";\\n\\n      int d = index / \"+n+\";\\n      int d2 = index - d * \"+n+\";\\n\\n      return ivec4(r, c, d, d2);\\n    }\\n  \"}function getOutput5DCoords(e,t){var n=e[4],r=e[3]*n,o=e[2]*r,a=e[1]*o;return\"\\n    ivec5 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(\"+t[0]+\",\\n                             \"+t[1]+\"));\\n\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+a+\";\\n      index -= r * \"+a+\";\\n\\n      int c = index / \"+o+\";\\n      index -= c * \"+o+\";\\n\\n      int d = index / \"+r+\";\\n      index -= d * \"+r+\";\\n\\n      int d2 = index  / \"+n+\";\\n      int d3 = index - d2 * \"+n+\";\\n\\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\\n      return outShape;\\n    }\\n  \"}function getOutput6DCoords(e,t){var n=e[5],r=e[4]*n,o=e[3]*r,a=e[2]*o,i=e[1]*a;return\"\\n    ivec6 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+i+\";\\n      index -= r * \"+i+\";\\n\\n      int c = index / \"+a+\";\\n      index -= c * \"+a+\";\\n\\n      int d = index / \"+o+\";\\n      index -= d * \"+o+\";\\n\\n      int d2 = index / \"+r+\";\\n      index -= d2 * \"+r+\";\\n\\n      int d3 = index / \"+n+\";\\n      int d4 = index - d3 * \"+n+\";\\n\\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\\n      return result;\\n    }\\n  \"}function getOutputPacked2DCoords(e,t){return\"\\n    ivec2 getOutputCoords() {\\n      return 2 * ivec2(resultUV.yx * vec2(\"+Math.ceil(t[0]/2)+\", \"+Math.ceil(t[1]/2)+\"));\\n    }\\n  \"}function getOutput2DCoords(e,t){return arraysEqual(e,t)?\"\\n      ivec2 getOutputCoords() {\\n        return ivec2(resultUV.yx * vec2(\"+t[0]+\", \"+t[1]+\"));\\n      }\\n    \":1===e[1]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(index, 0);\\n      }\\n    \":1===e[0]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(0, index);\\n      }\\n    \":\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+e[1]+\";\\n      int c = index - r * \"+e[1]+\";\\n      return ivec2(r, c);\\n    }\\n  \"}function getSamplerScalar(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?\"float \"+n+\"() {return \"+t+\";}\":\"\\n    float \"+n+\"() {\\n      return sampleTexture(\"+t+\", halfCR);\\n    }\\n  \"}function getSampler1D(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return\"\\n    float \"+n+\"(int index) {\\n      return \"+n+\"Flat(index);\\n    }\\n  \"}function getSampler2D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=e.shapeInfo.texShape;if(null!=o&&arraysEqual(t,o)){var a=o[0];return\"\\n    float \"+r+\"(int row, int col) {\\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+o[1]+\".0, \"+a+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}var i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\"],u)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col) {\\n        int index = row * \"+t[1]+\" + col;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=o[0],p=o[1];return 1===p?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+c+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":1===c?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2((float(index) + 0.5) / \"+p+\".0, 0.5);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n  float \"+r+\"(int row, int col) {\\n    vec2 uv = UVfrom2D(\"+c+\", \"+p+\", \"+t[1]+\", row, col);\\n    return sampleTexture(\"+n+\", uv);\\n  }\\n\"}function getSampler3D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[1]*t[2],a=t[2],i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n        \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\"],u)+\");\\n        }\\n      \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        int index = row * \"+o+\" + col * \"+a+\" + depth;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===o?\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          int texR = row;\\n          int texC = col * \"+a+\" + depth;\\n          vec2 uv = (vec2(texC, texR) + halfCR) /\\n                     vec2(\"+d+\".0, \"+p+\".0);\\n          return sampleTexture(\"+n+\", uv);\\n        }\\n      \":d===a?\"\\n    float \"+r+\"(int row, int col, int depth) {\\n      int texR = row * \"+t[1]+\" + col;\\n      int texC = depth;\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+d+\".0, \"+p+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        vec2 uv = UVfrom3D(\\n            \"+p+\", \"+d+\", \"+o+\", \"+a+\", row, col, depth);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n  \"}function getSampler4D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[3],a=t[2]*o,i=t[1]*a,s=squeezeShape(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,u))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\"],l)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int index = row * \"+i+\" + col * \"+a+\" +\\n            depth * \"+o+\" + depth2;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===i?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row;\\n        int texC = col * \"+a+\" + depth * \"+o+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":d===o?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2) {\\n      vec2 uv = UVfrom4D(\"+p+\", \"+d+\", \"+i+\", \"+a+\",\\n          \"+o+\", row, col, depth, depth2);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler5D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[4],a=t[3]*o,i=t[2]*a,s=t[1]*i,u=squeezeShape(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\"],c)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int index = row * \"+s+\" + col * \"+i+\" +\\n            depth * \"+a+\" + depth2 * \"+o+\" + depth3;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var p=e.shapeInfo.texShape,d=p[0],h=p[1];return h===s?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row;\\n        int texC = col * \"+i+\" + depth * \"+a+\" +\\n                   depth2 * \"+o+\" + depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":h===o?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" +\\n                   depth * \"+t[3]+\" + depth2;\\n        int texC = depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n      vec2 uv = UVfrom5D(\"+d+\", \"+h+\", \"+s+\", \"+i+\",\\n          \"+a+\", \"+o+\", row, col, depth, depth2, depth3);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler6D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[5],a=t[4]*o,i=t[3]*a,s=t[2]*i,u=t[1]*s,l=squeezeShape(t),c=l.newShape,p=l.keptDims;if(c.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,c))+\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\",\"depth4\"],p)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n        int index = row * \"+u+\" + col * \"+s+\" +\\n            depth * \"+i+\" + depth2 * \"+a+\" + depth3 * \"+a+\"\\n            + depth4\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var d=e.shapeInfo.texShape,h=d[0],f=d[1];return f===u?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row;\\n        int texC = col * \"+s+\" + depth * \"+i+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":f===o?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n      vec2 uv = UVfrom6D(\"+h+\", \"+f+\", \"+u+\", \"+s+\",\\n          \"+i+\", \"+a+\", \"+o+\"\\n          ,row, col, depth, depth2, depth3, depth4);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSamplerFlat(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1)+\"Flat\",r=sizeFromShape(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?\"float \"+n+\"(int index) {return \"+t+\";}\":\"\\n      float \"+n+\"(int index) {\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          if (i == index) {\\n            return \"+t+\"[i];\\n          }\\n        }\\n      }\\n    \";var o=e.shapeInfo.texShape,a=o[0],i=o[1];return 1===i&&1===a?\"\\n      float \"+n+\"(int index) {\\n        return sampleTexture(\"+t+\", halfCR);\\n      }\\n    \":1===i?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+a+\".0);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":1===a?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2((float(index) + 0.5) / \"+i+\".0, 0.5);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int index) {\\n      vec2 uv = UVfrom1D(\"+a+\", \"+i+\", index);\\n      return sampleTexture(\"+t+\", uv);\\n    }\\n  \"}function getBroadcastOutputCoordsSampler(e,t,n,r){var o=e.shapeInfo.logicalShape.length,a=t.logicalShape.length,i=\"int\";2===a?i=\"ivec2\":3===a?i=\"ivec3\":4===a&&(i=\"ivec4\");var s=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),u=a-o;return\"\\n    float \"+r+\"() {\\n      \"+i+\" coords = getOutputCoords();\\n      \"+(0===o?\"\":a<2&&s.length>=1?\"coords = 0;\":s.map(function(e){return\"coords[\"+(e+u)+\"] = 0;\"}).join(\"\\n\"))+\"\\n      return get\"+n+\"(\"+(a<2&&o>0?\"coords\":e.shapeInfo.logicalShape.map(function(e,t){return\"coords[\"+(t+u)+\"]\"}).join(\", \"))+\");\\n    }\\n  \"}function getSamplerAtOutputCoords(e,t,n){var r=e.name,o=r.charAt(0).toUpperCase()+r.slice(1),a=\"get\"+o+\"AtOutCoords\",i=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||i.length>0),c=broadcastDimsAreOuter(i),p=e.shapeInfo.isUniform;if(l&&!c)return getBroadcastOutputCoordsSampler(e,t,o,a);var d=sizeFromShape(e.shapeInfo.logicalShape),h=\"\";l&&c&&(h=\"\\n        int mainPart = index / \"+d+\";\\n        index -= mainPart * \"+d+\";\\n      \");var f=t.texShape;if(p)return 1===d?\"float \"+a+\"() {return \"+r+\";}\":\"\\n      float \"+a+\"() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                              vec2(\"+f[0]+\", \"+f[1]+\"));\\n        int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n        \"+h+\"\\n        return get\"+o+\"Flat(index);\\n      }\\n    \";var m=e.shapeInfo.texShape;return arraysEqual(m,f)?\"\\n      float \"+a+\"() {\\n        return sampleTexture(\"+r+\", resultUV);\\n      }\\n    \":\"\\n    float \"+a+\"() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+f[0]+\", \"+f[1]+\"));\\n      int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n      \"+h+\"\\n      int texR = index / \"+m[1]+\";\\n      int texC = index - texR * \"+m[1]+\";\\n      vec2 uv = (vec2(texC, texR) + halfCR) /\\n                 vec2(\"+m[1]+\".0, \"+m[0]+\".0);\\n\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getCoordsDataType(e){if(e<=1)return\"int\";if(2===e)return\"ivec2\";if(3===e)return\"ivec3\";if(4===e)return\"ivec4\";if(5===e)return\"ivec5\";if(6===e)return\"ivec6\";throw Error(\"GPU for rank \"+e+\" is not yet supported\")}function squeezeInputInfo(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function getSqueezedParams(e,t){return t.map(function(t){return e[t]}).join(\", \")}var CumSumProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=e;var r=e.length,o=e[e.length-1],a=n?\"<\":\">\";this.userCode=\"\\n      int getIndex(int i) {\\n        \"+(n?\"return \"+o+\" -i - 1;\":\"return i;\")+\"\\n      }\\n\\n      void main() {\\n        \"+getCoordsDataType(r)+\" coords = getOutputCoords();\\n        int end = \"+getFinalCoord(r,\"coords\")+\";\\n        float val = 0.0;\\n        for (int i = \"+o+\" - 1; i >= 0; i -= 1) {\\n          int idx = getIndex(i);\\n          if (idx \"+a+\" end) {\\n            continue;\\n          }\\n          if (idx == end && \"+t+\") {\\n            continue;\\n          }\\n          \"+getFinalCoord(r,\"coords\")+\" = idx;\\n          val += getX(\"+getCoords(r,\"coords\")+\");\\n        }\\n        setOutput(val);\\n      }\\n    \"}}();function getCoords(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".x, \"+t+\".y\";if(3===e)return t+\".x, \"+t+\".y, \"+t+\".z\";if(4===e)return t+\".x, \"+t+\".y, \"+t+\".z, \"+t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}function getFinalCoord(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".y\";if(3===e)return t+\".z\";if(4===e)return t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}var TextureUsage,PhysicalTextureType,DepthToSpaceProgram=function(){function e(e,t,n){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=\"\\n    void main() {\\n      ivec4 coords = getOutputCoords();\\n      int b = coords[0];\\n      int h = \"+this.getHeightCoordString()+\";\\n      int w = \"+this.getWidthCoordString()+\";\\n      int d = \"+this.getDepthCoordString()+\";\\n\\n      int in_h = h / \"+t+\";\\n      int offset_h = imod(h, \"+t+\");\\n      int in_w = w / \"+t+\";\\n      int offset_w = imod(w, \"+t+\");\\n      int offset_d = (offset_h * \"+t+\" + offset_w) *\\n        \"+this.getOutputDepthSize()+\";\\n      int in_d = d + offset_d;\\n\\n      float result = \"+this.getInputSamplingString()+\";\\n      setOutput(result);\\n    }\\n  \"}return e.prototype.getHeightCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[1]\":\"coords[2]\"},e.prototype.getWidthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[2]\":\"coords[3]\"},e.prototype.getDepthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[3]\":\"coords[1]\"},e.prototype.getOutputDepthSize=function(){return\"NHWC\"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return\"NHWC\"===this.dataFormat?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"},e}(),EncodeFloatProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const float FLOAT_MAX = 1.70141184e38;\\n      const float FLOAT_MIN = 1.17549435e-38;\\n\\n      lowp vec4 encode_float(highp float v) {\\n        if (isNaN(v)) {\\n          return vec4(255, 255, 255, 255);\\n        }\\n\\n        highp float av = abs(v);\\n\\n        if(av < FLOAT_MIN) {\\n          return vec4(0.0, 0.0, 0.0, 0.0);\\n        } else if(v > FLOAT_MAX) {\\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\\n        } else if(v < -FLOAT_MAX) {\\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\\n        }\\n\\n        highp vec4 c = vec4(0,0,0,0);\\n\\n        highp float e = floor(log2(av));\\n        highp float m = exp2(fract(log2(av))) - 1.0;\\n\\n        c[2] = floor(128.0 * m);\\n        m -= c[2] / 128.0;\\n        c[1] = floor(32768.0 * m);\\n        m -= c[1] / 32768.0;\\n        c[0] = floor(8388608.0 * m);\\n\\n        highp float ebias = e + 127.0;\\n        c[3] = floor(ebias / 2.0);\\n        ebias -= c[3] * 2.0;\\n        c[2] += floor(ebias) * 128.0;\\n\\n        c[3] += 128.0 * step(0.0, -v);\\n\\n        return c / 255.0;\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        gl_FragColor = encode_float(x);\\n      }\\n    \"}}(),FromPixelsProgram=function(){return function(e){this.variableNames=[\"A\"];var t=e[0],n=e[1];this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec3 coords = getOutputCoords();\\n        int texR = coords[0];\\n        int texC = coords[1];\\n        int depth = coords[2];\\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+n+\".0, \"+t+\".0);\\n\\n        vec4 values = texture2D(A, uv);\\n        float value;\\n        if (depth == 0) {\\n          value = values.r;\\n        } else if (depth == 1) {\\n          value = values.g;\\n        } else if (depth == 2) {\\n          value = values.b;\\n        } else if (depth == 3) {\\n          value = values.a;\\n        }\\n\\n        setOutput(floor(value * 255.0 + 0.5));\\n      }\\n    \"}}(),GatherProgram=function(){return function(e,t,n){this.variableNames=[\"A\",\"indices\"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var o=getCoordsDataType(this.rank),a=getSourceCoords(e,n);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords(e,t){var n=e.length;if(n>4)throw Error(\"Gather for rank \"+n+\" is not yet supported\");if(1===n)return\"int(getIndices(resRC))\";for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[],a=0;a<e.length;a++)a===t?o.push(\"int(getIndices(\"+r[a]+\"))\"):o.push(\"\"+r[a]);return o.join()}function getUnpackedMatrixTextureShapeWidthHeight(e,t){return[t,e]}function getUnpackedArraySizeFromMatrixSize(e,t){return e*t}function getMatrixSizeFromUnpackedArraySize(e,t){if(e%t!=0)throw new Error(\"unpackedSize (\"+e+\") must be a multiple of \"+t);return e/t}function encodeMatrixToUnpackedArray(e,t,n){var r=getUnpackedArraySizeFromMatrixSize(e.length,n);if(t.length<r)throw new Error(\"unpackedArray length (\"+t.length+\") must be >= \"+r);for(var o=0,a=0;a<e.length;++a)t[o]=e[a],o+=n}function decodeMatrixFromUnpackedArray(e,t,n){var r=getMatrixSizeFromUnpackedArraySize(e.length,n);if(t.length<r)throw new Error(\"matrix length (\"+t.length+\") must be >= \"+r);for(var o=0,a=0;a<e.length;a+=n)t[o++]=e[a]}function getPackedMatrixTextureShapeWidthHeight(e,t){return[Math.ceil(t/2),Math.ceil(e/2)]}function getPackedRGBAArraySizeFromMatrixShape(e,t){var n=getPackedMatrixTextureShapeWidthHeight(e,t);return n[0]*n[1]*4}function encodeMatrixToPackedRGBA(e,t,n,r){var o=getPackedRGBAArraySizeFromMatrixShape(t,n);if(r.length<o)throw new Error(\"packedRGBA length (\"+r.length+\") must be >= \"+o);for(var a=getPackedMatrixTextureShapeWidthHeight(t,n),i=a[0],s=a[1],u=n%2==1,l=t%2==1,c=Math.floor(n/2),p=Math.floor(t/2),d=u?4:0,h=n,f=0,m=0;m<p;++m){for(var g=2*m*n,v=0;v<c;++v){var x=g+2*v;r[f]=e[x],r[f+1]=e[x+1],r[f+2]=e[x+h],r[f+3]=e[x+h+1],f+=4}f+=d}if(u){x=n-1,f=4*(i-1);var y=2*n;for(d=4*i,m=0;m<p;++m)r[f]=e[x],r[f+2]=e[x+n],x+=y,f+=d}if(l)for(x=(t-1)*n,f=(s-1)*i*4,v=0;v<c;++v)r[f++]=e[x++],r[f++]=e[x++],f+=2;return u&&l&&(r[r.length-4]=e[e.length-1]),r}function decodeMatrixFromPackedRGBA(e,t,n,r){var o=t*n;if(o<r.length)throw new Error(\"matrix length (\"+r.length+\") must be >= \"+o);for(var a=n%2==1,i=t%2==1,s=Math.floor(n/2),u=Math.floor(t/2),l=getPackedMatrixTextureShapeWidthHeight(t,n),c=l[0],p=l[1],d=a?4:0,h=n+(a?1:0),f=0,m=0,g=n,v=0;v<u;++v){for(var x=0;x<s;++x)r[m++]=e[f++],r[m++]=e[f++],r[g++]=e[f++],r[g++]=e[f++];f+=d,m+=h,g+=h}if(a){f=4*(c-1);var y=n-1;for(d=4*c,h=2*n,v=0;v<u;++v)r[y]=e[f],r[y+n]=e[f+2],f+=d,y+=h}if(i)for(f=(p-1)*c*4,y=(t-1)*n,x=0;x<s;++x)r[y++]=e[f++],r[y++]=e[f++],f+=2;return a&&i&&(r[r.length-1]=e[e.length-4]),r}!function(e){e[e.RENDER=0]=\"RENDER\",e[e.UPLOAD=1]=\"UPLOAD\",e[e.PIXELS=2]=\"PIXELS\",e[e.DOWNLOAD=3]=\"DOWNLOAD\",e[e.PACK=4]=\"PACK\"}(TextureUsage||(TextureUsage={})),function(e){e[e.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",e[e.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",e[e.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",e[e.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\"}(PhysicalTextureType||(PhysicalTextureType={}));var MAX_TEXTURE_SIZE=null;function createWebGLRenderingContext(e){var t=document.createElement(\"canvas\");return t.width=1,t.height=1,createWebGLRenderingContextFromCanvas(t,e)}function createWebGLRenderingContextFromCanvas(e,t){var n,r=ENV.get(\"WEBGL_VERSION\");if(2===r?n=e.getContext(\"webgl2\",t):1===r&&(n=e.getContext(\"webgl\",t)||e.getContext(\"experimental-webgl\",t)),0===r||null==n)throw new Error(\"This browser does not support WebGL.\");return n}function callAndCheck(e,t){var n=t();return checkWebGLError(e),n}var webGLDebugErrorCheckingEnabled=!1;function enableDebugWebGLErrorChecking(e){webGLDebugErrorCheckingEnabled=e}function checkWebGLError(e){if(webGLDebugErrorCheckingEnabled){var t=e.getError();if(t!==e.NO_ERROR)throw new Error(\"WebGL Error: \"+getWebGLErrorMessage(e,t))}}function getWebGLErrorMessage(e,t){switch(t){case e.NO_ERROR:return\"NO_ERROR\";case e.INVALID_ENUM:return\"INVALID_ENUM\";case e.INVALID_VALUE:return\"INVALID_VALUE\";case e.INVALID_OPERATION:return\"INVALID_OPERATION\";case e.INVALID_FRAMEBUFFER_OPERATION:return\"INVALID_FRAMEBUFFER_OPERATION\";case e.OUT_OF_MEMORY:return\"OUT_OF_MEMORY\";case e.CONTEXT_LOST_WEBGL:return\"CONTEXT_LOST_WEBGL\";default:return\"Unknown error code \"+t}}function getExtensionOrThrow(e,t){return throwIfNull(e,function(){return e.getExtension(t)},'Extension \"'+t+'\" not supported on this browser.')}function createVertexShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.VERTEX_SHADER)},\"Unable to create vertex WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error(\"Failed to compile vertex shader.\");return n}function createFragmentShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.FRAGMENT_SHADER)},\"Unable to create fragment WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw logShaderSourceAndInfoLog(t,e.getShaderInfoLog(n)),new Error(\"Failed to compile fragment shader.\");return n}var lineNumberRegex=/ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e,t){var n=lineNumberRegex.exec(t);if(null==n)return console.log(\"Couldn't parse line number in error: \"+t),void console.log(e);for(var r=+n[1],o=e.split(\"\\n\"),a=o.length.toString().length+2,i=o.map(function(e,t){return rightPad((t+1).toString(),a)+e}),s=0,u=0;u<i.length;u++)s=Math.max(i[u].length,s);var l=i.slice(0,r-1),c=i.slice(r-1,r),p=i.slice(r);console.log(l.join(\"\\n\")),console.log(t.split(\"\\n\")[0]),console.log(\"%c \"+rightPad(c[0],s),\"border:1px solid red; background-color:#e3d2d2; color:#a61717\"),console.log(p.join(\"\\n\"))}function createProgram(e){return throwIfNull(e,function(){return e.createProgram()},\"Unable to create WebGLProgram.\")}function linkProgram(e,t){if(callAndCheck(e,function(){return e.linkProgram(t)}),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function validateProgram(e,t){if(callAndCheck(e,function(){return e.validateProgram(t)}),!1===e.getProgramParameter(t,e.VALIDATE_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function createStaticVertexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function createStaticIndexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function queryMaxTextureSize(e){return null!=MAX_TEXTURE_SIZE?MAX_TEXTURE_SIZE:MAX_TEXTURE_SIZE=callAndCheck(e,function(){return e.getParameter(e.MAX_TEXTURE_SIZE)})}function getNumChannels(){return 2===ENV.get(\"WEBGL_VERSION\")?1:4}function createTexture(e){return throwIfNull(e,function(){return e.createTexture()},\"Unable to create WebGLTexture.\")}function validateTextureSize(e,t,n){var r=queryMaxTextureSize(e);if(t<=0||n<=0){var o=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+o+\" is invalid.\")}if(t>r||n>r){o=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+o+\" greater than WebGL maximum on this browser / GPU \"+(\"[\"+r+\"x\"+r+\"]\")+\".\")}}function createFramebuffer(e){return throwIfNull(e,function(){return e.createFramebuffer()},\"Unable to create WebGLFramebuffer.\")}function bindVertexBufferToProgramAttribute(e,t,n,r,o,a,i){var s=e.getAttribLocation(t,n);return-1!==s&&(callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.vertexAttribPointer(s,o,e.FLOAT,!1,a,i)}),callAndCheck(e,function(){return e.enableVertexAttribArray(s)}),!0)}function bindTextureUnit(e,t,n){validateTextureUnit(e,n),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)})}function unbindTextureUnit(e,t){validateTextureUnit(e,t),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+t)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function getProgramUniformLocationOrThrow(e,t,n){return throwIfNull(e,function(){return e.getUniformLocation(t,n)},'uniform \"'+n+'\" not present in program.')}function getProgramUniformLocation(e,t,n){return e.getUniformLocation(t,n)}function bindTextureToProgramUniformSampler(e,t,n,r,o){callAndCheck(e,function(){return bindTextureUnit(e,n,o)}),callAndCheck(e,function(){return e.uniform1i(r,o)})}function bindCanvasToFramebuffer(e){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),callAndCheck(e,function(){return e.viewport(0,0,e.canvas.width,e.canvas.height)}),callAndCheck(e,function(){return e.scissor(0,0,e.canvas.width,e.canvas.height)})}function bindColorTextureToFramebuffer(e,t,n){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,n)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0)})}function unbindColorTextureFromFramebuffer(e,t){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,t)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0)})}function validateFramebuffer(e){var t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+getFramebufferErrorMessage(e,t))}function getFramebufferErrorMessage(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case e.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return\"unknown error \"+t}}function throwIfNull(e,t,n){var r=callAndCheck(e,function(){return t()});if(null==r)throw new Error(n);return r}function validateTextureUnit(e,t){var n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n)throw new Error(\"textureUnit must be in \"+(\"[gl.TEXTURE0, gl.TEXTURE\"+n+\"]\")+\".\")}function getTextureShapeFromLogicalShape(e,t){2!==t.length&&(t=squeezeShape(t).newShape);var n=queryMaxTextureSize(e),r=sizeFromShape(t);return t.length<=1&&r<=n?[r,1]:2===t.length&&t[0]<=n&&t[1]<=n?t:3===t.length&&t[0]<=n&&t[1]*t[2]<=n?[t[0],t[1]*t[2]]:4===t.length&&t[0]<=n&&t[1]*t[2]*t[3]<=n?[t[0],t[1]*t[2]*t[3]]:sizeToSquarishShape(r)}var webgl_util=Object.freeze({createWebGLRenderingContext:createWebGLRenderingContext,createWebGLRenderingContextFromCanvas:createWebGLRenderingContextFromCanvas,callAndCheck:callAndCheck,enableDebugWebGLErrorChecking:enableDebugWebGLErrorChecking,checkWebGLError:checkWebGLError,getWebGLErrorMessage:getWebGLErrorMessage,getExtensionOrThrow:getExtensionOrThrow,createVertexShader:createVertexShader,createFragmentShader:createFragmentShader,createProgram:createProgram,linkProgram:linkProgram,validateProgram:validateProgram,createStaticVertexBuffer:createStaticVertexBuffer,createStaticIndexBuffer:createStaticIndexBuffer,queryMaxTextureSize:queryMaxTextureSize,getNumChannels:getNumChannels,createTexture:createTexture,validateTextureSize:validateTextureSize,createFramebuffer:createFramebuffer,bindVertexBufferToProgramAttribute:bindVertexBufferToProgramAttribute,bindTextureUnit:bindTextureUnit,unbindTextureUnit:unbindTextureUnit,getProgramUniformLocationOrThrow:getProgramUniformLocationOrThrow,getProgramUniformLocation:getProgramUniformLocation,bindTextureToProgramUniformSampler:bindTextureToProgramUniformSampler,bindCanvasToFramebuffer:bindCanvasToFramebuffer,bindColorTextureToFramebuffer:bindColorTextureToFramebuffer,unbindColorTextureFromFramebuffer:unbindColorTextureFromFramebuffer,validateFramebuffer:validateFramebuffer,getFramebufferErrorMessage:getFramebufferErrorMessage,getTextureShapeFromLogicalShape:getTextureShapeFromLogicalShape});function getWebGLContextAttributes(){return{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0}}function createWebGLContext(e){var t,n=getWebGLContextAttributes();return callAndCheck(t=null!=e?createWebGLRenderingContextFromCanvas(e,n):createWebGLRenderingContext(n),function(){return t.disable(t.DEPTH_TEST)}),callAndCheck(t,function(){return t.disable(t.STENCIL_TEST)}),callAndCheck(t,function(){return t.disable(t.BLEND)}),callAndCheck(t,function(){return t.disable(t.DITHER)}),callAndCheck(t,function(){return t.disable(t.POLYGON_OFFSET_FILL)}),callAndCheck(t,function(){return t.disable(t.SAMPLE_COVERAGE)}),callAndCheck(t,function(){return t.enable(t.SCISSOR_TEST)}),callAndCheck(t,function(){return t.enable(t.CULL_FACE)}),callAndCheck(t,function(){return t.cullFace(t.BACK)}),t}function createVertexShader$1(e){return createVertexShader(e,\"\\n    precision highp float;\\n    attribute vec3 clipSpacePos;\\n    attribute vec2 uv;\\n    varying vec2 resultUV;\\n\\n    void main() {\\n      gl_Position = vec4(clipSpacePos, 1);\\n      resultUV = uv;\\n    }\")}function createVertexBuffer(e){return createStaticVertexBuffer(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function createIndexBuffer(e){return createStaticIndexBuffer(e,new Uint16Array([0,1,2,2,1,3]))}function getTextureConfig(e,t){var n,r,o,a,i,s,u,l=e;return 2===ENV.get(\"WEBGL_VERSION\")?(n=l.R32F,r=l.R16F,o=l.RGBA32F,a=l.RED,i=4,s=1,u=l.HALF_FLOAT):(n=e.RGBA,r=e.RGBA,o=l.RGBA,a=e.RGBA,i=4,s=4,u=null!=t?t.HALF_FLOAT_OES:null),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedFloat:o,textureFormatFloat:a,downloadTextureFormat:e.RGBA,downloadUnpackNumChannels:i,defaultNumChannels:s,textureTypeHalfFloat:u}}function createAndConfigureTexture(e,t,n,r,o,a){validateTextureSize(e,t,n);var i=createTexture(e),s=e.TEXTURE_2D;return callAndCheck(e,function(){return e.bindTexture(s,i)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texImage2D(s,0,r,t,n,0,o,a,null)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)}),i}function createFloat32MatrixTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],r.internalFormatFloat,r.textureFormatFloat,e.FLOAT)}function createFloat16MatrixTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],r.internalFormatFloat,r.textureFormatFloat,r.textureTypeHalfFloat)}function createUnsignedBytesMatrixTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],e.RGBA,e.RGBA,e.UNSIGNED_BYTE)}function createPackedMatrixTexture(e,t,n,r){var o=getPackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],r.internalFormatPackedFloat,e.RGBA,e.FLOAT)}function bindVertexProgramAttributeStreams(e,t,n){return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),bindVertexBufferToProgramAttribute(e,t,\"clipSpacePos\",n,3,20,0)&&bindVertexBufferToProgramAttribute(e,t,\"uv\",n,2,20,12)}function uploadPixelDataToTexture(e,t,n){callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadDataToTexture(e,t,n,r,o,a){validateTextureSize(e,n,r),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,a,e.FLOAT,o)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadMatrixToTexture(e,t,n,r,o,a,i){var s,u=getUnpackedMatrixTextureShapeWidthHeight(n,r),l=u[0],c=u[1];1===i.defaultNumChannels?s=o:encodeMatrixToUnpackedArray(o,s=new Float32Array(getUnpackedArraySizeFromMatrixSize(o.length,a)),a),uploadDataToTexture(e,t,l,c,s,i.textureFormatFloat)}function uploadMatrixToPackedTexture(e,t,n,r,o,a){var i=getPackedMatrixTextureShapeWidthHeight(n,r),s=i[0],u=i[1],l=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n,r));encodeMatrixToPackedRGBA(o,n,r,l),uploadDataToTexture(e,t,s,u,l,e.RGBA)}function maybeCreateBufferFromOutputTexture(e,t,n,r,o){var a=t;if(2===ENV.get(\"WEBGL_VERSION\")){var i=e,s=i.createBuffer();callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,s)});var u=4*getUnpackedArraySizeFromMatrixSize(n*r,o.downloadUnpackNumChannels);callAndCheck(e,function(){return e.bufferData(i.PIXEL_PACK_BUFFER,u,e.STATIC_DRAW)}),callAndCheck(e,function(){return i.readPixels(0,0,r,n,e.RGBA,e.FLOAT,0)}),callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,null)}),a=s}return a}function downloadFloat32MatrixFromBuffer(e,t,n,r,o){var a=e,i=new Float32Array(getUnpackedArraySizeFromMatrixSize(n*r,o.downloadUnpackNumChannels));a.bindBuffer(e.ARRAY_BUFFER,t),a.getBufferSubData(e.ARRAY_BUFFER,0,i),a.bindBuffer(e.ARRAY_BUFFER,null);var s=new Float32Array(n*r);return decodeMatrixFromUnpackedArray(i,s,o.downloadUnpackNumChannels),s}function downloadFloat32MatrixFromOutputTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n),a=o[0],i=o[1],s=new Float32Array(getUnpackedArraySizeFromMatrixSize(t*n,r.downloadUnpackNumChannels));callAndCheck(e,function(){return e.readPixels(0,0,a,i,r.downloadTextureFormat,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromUnpackedArray(s,u,r.downloadUnpackNumChannels),u}function downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n),a=o[0],i=o[1],s=new Uint8Array(getUnpackedArraySizeFromMatrixSize(t*n,4));return callAndCheck(e,function(){return e.readPixels(0,0,a,i,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function downloadMatrixFromPackedOutputTexture(e,t,n,r){var o=getPackedMatrixTextureShapeWidthHeight(t,n),a=o[0],i=o[1],s=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(t,n));callAndCheck(e,function(){return e.readPixels(0,0,a,i,e.RGBA,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromPackedRGBA(s,t,n,u)}var gpgpu_util=Object.freeze({getWebGLContextAttributes:getWebGLContextAttributes,createWebGLContext:createWebGLContext,createVertexShader:createVertexShader$1,createVertexBuffer:createVertexBuffer,createIndexBuffer:createIndexBuffer,getTextureConfig:getTextureConfig,createFloat32MatrixTexture:createFloat32MatrixTexture,createFloat16MatrixTexture:createFloat16MatrixTexture,createUnsignedBytesMatrixTexture:createUnsignedBytesMatrixTexture,createPackedMatrixTexture:createPackedMatrixTexture,bindVertexProgramAttributeStreams:bindVertexProgramAttributeStreams,uploadPixelDataToTexture:uploadPixelDataToTexture,uploadMatrixToTexture:uploadMatrixToTexture,uploadMatrixToPackedTexture:uploadMatrixToPackedTexture,maybeCreateBufferFromOutputTexture:maybeCreateBufferFromOutputTexture,downloadFloat32MatrixFromBuffer:downloadFloat32MatrixFromBuffer,downloadFloat32MatrixFromOutputTexture:downloadFloat32MatrixFromOutputTexture,downloadByteEncodedFloatMatrixFromOutputTexture:downloadByteEncodedFloatMatrixFromOutputTexture,downloadMatrixFromPackedOutputTexture:downloadMatrixFromPackedOutputTexture}),GPGPUContext=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:createWebGLContext(),1===ENV.get(\"WEBGL_VERSION\")?(this.textureFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_float\"),this.colorBufferFloatExtension=this.gl.getExtension(\"WEBGL_color_buffer_float\"),ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")||(this.textureHalfFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_half_float\"),this.colorBufferHalfFloatExtension=this.gl.getExtension(\"EXT_color_buffer_half_float\"))):this.colorBufferFloatExtension=getExtensionOrThrow(this.gl,\"EXT_color_buffer_float\"),this.loseContextExtension=getExtensionOrThrow(this.gl,\"WEBGL_lose_context\"),this.vertexBuffer=createVertexBuffer(this.gl),this.indexBuffer=createIndexBuffer(this.gl),this.framebuffer=createFramebuffer(this.gl),this.textureConfig=getTextureConfig(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),null!=this.outputTexture&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");var t=this.gl;callAndCheck(t,function(){return t.finish()}),callAndCheck(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),callAndCheck(t,function(){return t.deleteFramebuffer(e.framebuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.vertexBuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.loseContextExtension.loseContext(),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,enableDebugWebGLErrorChecking(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat32MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),createUnsignedBytesMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),uploadPixelDataToTexture(this.gl,e,t)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createPackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(unbindColorTextureFromFramebuffer(this.gl,this.framebuffer),this.outputTexture=null),callAndCheck(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,n,r){this.throwIfDisposed();var o=getNumChannels();return uploadMatrixToTexture(this.gl,e,t,n,r,o,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,n,r){return this.throwIfDisposed(),uploadMatrixToPackedTexture(this.gl,e,t,n,r,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadFloat32MatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadByteEncodedFloatMatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t,n){return downloadFloat32MatrixFromBuffer(this.gl,e,t,n,this.textureConfig)},e.prototype.maybeCreateBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=maybeCreateBufferFromOutputTexture(this.gl,e,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,n,r=this;if(ENV.get(\"WEBGL_FENCE_API_ENABLED\")){var o=e,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=o.clientWaitSync(a,0,0);return e===o.ALREADY_SIGNALED||e===o.CONDITION_SATISFIED},t=a}else ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}):n=function(){return!0};return{query:t,isFencePassed:n}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadMatrixFromPackedOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=createFragmentShader(t,e),r=createVertexShader$1(t),o=createProgram(t);return callAndCheck(t,function(){return t.attachShader(o,r)}),callAndCheck(t,function(){return t.attachShader(o,n)}),linkProgram(t,o),this.autoDebugValidate&&validateProgram(t,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=bindVertexProgramAttributeStreams(t,this.program,this.vertexBuffer)),o},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&callAndCheck(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&validateProgram(this.gl,this.program),callAndCheck(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?getProgramUniformLocationOrThrow(this.gl,e,t):getProgramUniformLocation(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),callAndCheck(this.gl,function(){return n.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),bindTextureToProgramUniformSampler(this.gl,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=getPackedMatrixTextureShapeWidthHeight(t,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(e,o,a)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")},e.prototype.debugValidate=function(){null!=this.program&&validateProgram(this.gl,this.program),validateFramebuffer(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),callAndCheck(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=getExtensionOrThrow(this.gl,2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},e.prototype.endQuery=function(){if(2!==ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(n){switch(n.label){case 0:return[4,repeatedTry(function(){return t.isQueryAvailable(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))})];case 1:return n.sent(),[2,this.getQueryTime(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))]}})})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise(function(n){t.addItemToPoll(function(){return e.isFencePassed()},function(){return n()})})},e.prototype.pollItems=function(){for(var e=binSearchLastTrue(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||repeatedTry(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),bindColorTextureToFramebuffer(this.gl,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(bindColorTextureToFramebuffer(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)):unbindColorTextureFromFramebuffer(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;bindColorTextureToFramebuffer(r,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(r),this.outputTexture=e,callAndCheck(r,function(){return r.viewport(0,0,t,n)}),callAndCheck(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var o=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return o.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error(\"No GPU program is currently set.\")},e}();function binSearchLastTrue(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var o=t+n>>1;e[o]()?(r=o,t=o+1):n=o-1}return r}function compileProgram(e,t,n,r){for(var o=t.userCode,a=n.map(function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.usage===TextureUsage.PACK};return{name:t.variableNames[n],shapeInfo:r}}),i=a.map(function(e){return e.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.usage===TextureUsage.PACK},u=makeShader(a,s,o,!0===t.supportsBroadcasting),l=e.createProgram(u),c={},p=0;p<t.variableNames.length;p++){var d=t.variableNames[p];c[d]=e.getUniformLocation(l,d,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:i,outShapeInfo:s}}function validateBinaryAndProgram(e,t){if(e.length!==t.length)throw Error(\"Binary was compiled with \"+e.length+\" inputs, but was executed with \"+t.length+\" inputs\");e.forEach(function(e,n){var r=e.logicalShape,o=t[n],a=o.shape;if(!arraysEqual(r,a))throw Error(\"Binary was compiled with different shapes than the current args. Shapes \"+r+\" and \"+a+\" must match\");if(!e.isUniform||!o.isUniform){var i=e.texShape,s=o.isUniform?null:o.texData.texShape;if(!arraysEqual(i,s))throw Error(\"Binary was compiled with different texture shapes than the current args. Shape \"+i+\" and \"+s+\" must match\")}})}function runProgram(e,t,n,r){validateBinaryAndProgram(e.inShapeInfos,t),validateBinaryAndProgram([e.outShapeInfo],[n]);var o=n.texData.texture,a=n.texData.texShape,i=e.gpgpu;n.texData.usage===TextureUsage.PACK?i.setOutputPackedMatrixTexture(o,a[0],a[1]):i.setOutputMatrixTexture(o,a[0],a[1]),i.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],o=e.uniformLocations[r];if(null!=o){if(t.isUniform){if(1===sizeFromShape(t.shape))i.gl.uniform1f(o,t.uniformValues[0]);else{var a=t.uniformValues;a instanceof Float32Array||(a=new Float32Array(a)),i.gl.uniform1fv(o,a)}return}var s=t.texData.texture;i.setInputMatrixTexture(s,o,n)}}),null!=r&&r(i,e.webGLProgram),i.executeProgram()}function makeShaderKey(e,t,n){var r=\"\";t.concat(n).forEach(function(e){r+=e.shape+\"_\"+(e.isUniform?\"uniform\":e.texData.texShape)});var o=e.userCode,a=(!0===e.supportsBroadcasting).toString(),i=e.constructor.name;return i+=\"_\"+a+\"_\"+r+\"_\"+o}var LRNProgram=function(){return function(e,t,n,r,o){this.variableNames=[\"x\"],this.outputShape=[];var a,i=t,s=e[3]-1;this.outputShape=e;var u=\"float(\"+n+\") + float(\"+r+\") * sum\";a=.5===o?\"inversesqrt(\"+u+\")\":1===o?\"1.0/(\"+u+\")\":\"exp(log(\"+u+\") * float(-\"+o+\"));\",this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n        int d = coords[3];\\n        float x = getX(b, r, c, d);\\n        float sum = 0.0;\\n        for (int j = -\"+i+\"; j <= \"+i+\"; j++) {\\n          int idx = d + j;\\n          if (idx >= 0 && idx <=  \"+s+\") {\\n            float z = getX(b, r, c, idx);\\n            sum += z * z;\\n          }\\n        }\\n        float val = x * \"+a+\";\\n        setOutput(val);\\n      }\\n    \"}}(),LRNGradProgram=function(){return function(e,t,n,r,o){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=o,this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float result = 0.0;\\n        for (int d = 0; d < \"+this.depth+\"; ++d) {\\n          int depthBegin = int(max(0.0, float(d - \"+t+\")));\\n          int depthEnd = int(min(float(\"+this.depth+\"),\\n              float(d + \"+t+\" + 1)));\\n\\n          const int MIN_DEPTH_BEGIN = 0;\\n          const int MAX_DEPTH_END = \"+this.depth+\";\\n\\n          float norm = 0.0;\\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd) {\\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n\\n          norm = float(\"+r+\") * norm + float(\"+n+\");\\n\\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd){\\n              float dyi = -2.0 * float(\"+r+\")\\n                * float(\"+o+\")\\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\\n                / norm;\\n              if (k == d) {\\n                dyi += pow(norm, -1.0 * \"+o+\");\\n              }\\n              if (k == coords[3]) {\\n                dyi *= getDy(b, r, c, d);\\n                result += dyi;\\n              }\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n      }\\n      setOutput(result);\\n      }\\n    \"}}(),MaxPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=t*n-1;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n            int maxPosValue = \"+s+\" - int(getMaxPos(b, idyR, idyC, d));\\n\\n            // Get the current value, check it against the value from the\\n            // position matrix.\\n            int curPosValue = wR * \"+n+\" + wC;\\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\\n\\n            dotProd += dyValue * mask;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),MatMulProgram=function(){return function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=[\"matrixA\",\"matrixB\"];var o=e[0],a=n?e[2]:e[1],i=r?t[1]:t[2],s=n?e[1]:e[2];this.outputShape=[o,a,i];var u=function(e,t){return n?\"batch, \"+t+\" + \"+e+\", aRow\":\"batch, aRow, \"+t+\" + \"+e},l=function(e,t){return r?\"batch, bCol, \"+t+\" + \"+e:\"batch, \"+t+\" + \"+e+\", bCol\"},c=4*Math.floor(s/4),p=s%4;this.userCode=\" float dotARowBCol(int batch, int aRow, int bCol) {\\n      float result = 0.0;\\n      for (int i = 0; i < \"+c+\"; i += 4) {\\n        vec4 a = vec4(\\n          getMatrixA(\"+u(0,\"i\")+\"),\\n          getMatrixA(\"+u(1,\"i\")+\"),\\n          getMatrixA(\"+u(2,\"i\")+\"),\\n          getMatrixA(\"+u(3,\"i\")+\")\\n        );\\n        vec4 b = vec4(\\n          getMatrixB(\"+l(0,\"i\")+\"),\\n          getMatrixB(\"+l(1,\"i\")+\"),\\n          getMatrixB(\"+l(2,\"i\")+\"),\\n          getMatrixB(\"+l(3,\"i\")+\")\\n        );\\n\\n        result += dot(a, b);\\n      }\\n\\n      if (\"+(1===p)+\") {\\n        result += getMatrixA(\"+u(0,c)+\") *\\n          getMatrixB(\"+l(0,c)+\");\\n      } else if (\"+(2===p)+\") {\\n        vec2 a = vec2(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\")\\n        );\\n        vec2 b = vec2(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\")\\n        );\\n        result += dot(a, b);\\n      } else if (\"+(3===p)+\") {\\n        vec3 a = vec3(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\"),\\n          getMatrixA(\"+u(2,c)+\")\\n        );\\n        vec3 b = vec3(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\"),\\n          getMatrixB(\"+l(2,c)+\")\\n        );\\n        result += dot(a, b);\\n      }\\n\\n      return result;\\n    }\\n\\n    void main() {\\n      ivec3 resBRC = getOutputCoords();\\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\\n    }\\n    \"}}(),MatMulPackedProgram=function(){return function(e,t,n,r,o){void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=[\"matrixA\",\"matrixB\"],this.outputShape=n;var a=r?e[0]:e[1],i=Math.ceil(a/2),s=r?\"resultUV.t, center\":\"center, resultUV.t\",u=o?\"center, resultUV.s\":\"resultUV.s, center\",l=r?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],c=o?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"];this.userCode=\"\\n      const float sharedDimension = \"+i+\".0;\\n\\n      vec4 dot2x2ARowBCol() {\\n        vec4 result = vec4(0);\\n        for (int ii = 0; ii < \"+i+\"; ii++) {\\n          float i = float(ii);\\n          float center = (i + 0.5) / sharedDimension;\\n          vec4 a = texture2D(matrixA, vec2(\"+s+\"));\\n          vec4 b = texture2D(matrixB, vec2(\"+u+\"));\\n\\n          result += (\"+l[0]+\" * \"+c[0]+\") + (\"+l[1]+\" * \"+c[1]+\");\\n        }\\n        return result;\\n      }\\n\\n      void main() {\\n        gl_FragColor = dot2x2ARowBCol();\\n      }\\n    \"}}(),MultinomialProgram=function(){function e(e,t,n){this.variableNames=[\"probs\"],this.outputShape=[e,n],this.userCode=\"\\n      uniform float seed;\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n\\n        float r = random(seed);\\n        float cdf = 0.0;\\n\\n        for (int i = 0; i < \"+(t-1)+\"; i++) {\\n          cdf += getProbs(batch, i);\\n\\n          if (r < cdf) {\\n            setOutput(float(i));\\n            return;\\n          }\\n        }\\n\\n        // If no other event happened, last event happened.\\n        setOutput(float(\"+(t-1)+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,\"seed\")),n.gl.uniform1f(t.seedLoc,e)}},e}(),OneHotProgram=function(){return function(e,t,n,r){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int index = round(getIndices(coords.x));\\n        setOutput(mix(float(\"+r+\"), float(\"+n+\"),\\n                      float(index == coords.y)));\\n      }\\n    \"}}(),PackProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n\\n        int r = rc.x;\\n        int c = rc.y;\\n        int rp1 = r + 1;\\n        int cp1 = c + 1;\\n\\n        bool cEdge = cp1 >= \"+e[1]+\";\\n        bool rEdge = rp1 >= \"+e[0]+\";\\n\\n        gl_FragColor = vec4(\\n            getA(r, c),\\n            cEdge ? 0. : getA(r, cp1),\\n            rEdge ? 0. : getA(rp1, c),\\n            rEdge || cEdge ? 0. : getA(rp1, cp1)\\n          );\\n      }\\n    \"}}(),PadProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,o=getCoordsDataType(r),a=t.map(function(e){return e[0]}).join(\",\"),i=t.map(function(t,n){return t[0]+e[n]}).join(\",\"),s=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,r);this.userCode=1!==r?\"\\n      \"+o+\" start = \"+o+\"(\"+a+\");\\n      \"+o+\" end = \"+o+\"(\"+i+\");\\n\\n      void main() {\\n        \"+o+\" outC = getOutputCoords();\\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\\n          setOutput(float(\"+n+\"));\\n        } else {\\n          \"+o+\" coords = outC - start;\\n          setOutput(getX(\"+s+\"));\\n        }\\n      }\\n    \":\"\\n        int start = \"+a+\";\\n        int end = \"+i+\";\\n\\n        void main() {\\n          int outC = getOutputCoords();\\n          if (outC < start || outC >= end) {\\n            setOutput(float(\"+n+\"));\\n          } else {\\n            setOutput(getX(outC - start));\\n          }\\n        }\\n      \"}}(),Pool2DProgram=function(){return function(e,t,n){if(this.variableNames=[\"x\"],\"avg\"===t&&n)throw new Error(\"Cannot compute positions for average pool.\");var r=e.filterHeight,o=e.filterWidth,a=e.strideHeight,i=e.strideWidth,s=e.padInfo.top,u=e.padInfo.left;this.outputShape=e.outShape;var l=\"avg\"===t,c=\"0.0\";if(l||(c=\"-1.0 / 0.0\"),n)this.userCode=\"\\n        const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n        const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n\\n        void main() {\\n          ivec4 coords = getOutputCoords();\\n          int batch = coords[0];\\n          int d = coords[3];\\n\\n          ivec2 xRCCorner = coords.yz * strides - pads;\\n          int xRCorner = xRCCorner.x;\\n          int xCCorner = xRCCorner.y;\\n\\n          // max/min x(?, ?, d) to get y(yR, yC, d).\\n          // ? = to be determined\\n          float minMaxValue = 0.0;\\n          float minMaxValueFound = 0.0;\\n          int minMaxPosition = 0;\\n          float avgValue = 0.0;\\n\\n          for (int wR = 0; wR < \"+r+\"; wR++) {\\n            int xR = xRCorner + wR;\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int wC = 0; wC < \"+o+\"; wC++) {\\n              int xC = xCCorner + wC;\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float value = getX(batch, xR, xC, d);\\n\\n              // If a min / max value has already been found, use it. If not,\\n              // use the current value.\\n              float currMinMaxValue = mix(\\n                  value, minMaxValue, minMaxValueFound);\\n              if (value >= currMinMaxValue) {\\n                minMaxValue = value;\\n                minMaxValueFound = 1.0;\\n                minMaxPosition = wR * \"+o+\" + wC;\\n              }\\n            }\\n          }\\n          setOutput(float(minMaxPosition));\\n        }\\n      \";else{var p=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"avg\"===t&&(p=\"avgValue / count\");var d=4*Math.floor(o/4),h=o%4,f=\"\\n      if (\"+l+\") {\\n        avgValue += dot(values, ones);\\n      } else {\\n        minMaxValue = max(values, minMaxValue);\\n      }\\n    \";this.userCode=\"\\n      const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n      const float initializationValue = \"+c+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float count = 0.0;\\n\\n      float getValue(int batch, int xR, int xC, int d) {\\n        if (xC < 0 || xC >= \"+e.inWidth+\") {\\n          return initializationValue;\\n        }\\n        count += 1.0;\\n        return getX(batch, xR, xC, d);\\n      }\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // max/min x(?, ?, d) to get y(yR, yC, d).\\n        // ? = to be determined\\n        vec4 minMaxValue = vec4(\"+c+\");\\n        float avgValue = 0.0;\\n        count = 0.0;\\n\\n        for (int wR = 0; wR < \"+r+\"; wR++) {\\n          int xR = xRCorner + wR;\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+d+\"; wC += 4) {\\n            int xC = xCCorner + wC;\\n\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              getValue(batch, xR, xC + 3, d)\\n            );\\n\\n            \"+f+\"\\n          }\\n\\n          int xC = xCCorner + \"+d+\";\\n          if (\"+(1===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              initializationValue,\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(2===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(3===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          }\\n        }\\n        setOutput(\"+p+\");\\n      }\\n    \"}}}(),ReduceProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.windowSize,r=e.batchSize,o=e.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i=\"0.0\",s=\"\";\"min\"===t?(i=\"1.0 / 0.0\",s=\"min\"):\"max\"===t&&(i=\"-1.0 / 0.0\",s=\"max\");var u=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"sum\"===t?u=\"sumValue\":\"all\"===t?u=\"allValue\":\"any\"===t&&(u=\"anyValue\");var l=4*Math.floor(n/4),c=n%4,p=\"\\n      if (\"+(\"sum\"===t)+\") {\\n        sumValue += dot(values, ones);\\n      } else {\\n        minMaxValue = \"+s+\"(values, minMaxValue);\\n      }\\n    \",d=\"vec4\";\"all\"===t?(i=\"1.0\",p=\"\\n        bool reducedAllValue = all(values);\\n        float floatedReducedAllValue = float(reducedAllValue);\\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\\n      \",d=\"bvec4\"):\"any\"===t&&(i=\"0.0\",p=\"\\n        bool reducedAnyValue = any(values);\\n        float floatedReducedAnyValue = float(reducedAnyValue);\\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\\n      \",d=\"bvec4\");var h=\"\";o%n>0&&(h=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = \"+i+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+h+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+n+\";\\n\\n        vec4 minMaxValue = vec4(\"+i+\");\\n        float sumValue = 0.0;\\n        float allValue = 1.0;\\n        float anyValue = 0.0;\\n\\n        for (int i = 0; i < \"+l+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          \"+p+\"\\n        }\\n\\n        int inIdx = inOffset + \"+l+\";\\n        if (\"+(1===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(2===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(3===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        }\\n        setOutput(\"+u+\");\\n      }\\n    \"}}(),ResizeBilinearBackpropProgram=function(){return function(e,t,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,o=r[1],a=r[2],i=e.shape,s=i[1],u=i[2],l=[n&&s>1?o-1:o,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(startRLerp - float(winHeight / 2));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(startCLerp - float(winWidth / 2));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float dxR = float(dyR) * heightScale;\\n            int topDxRIndex = int(floor(dxR));\\n            int bottomDxRIndex = int(min(ceil(dxR), \"+(o-1)+\".0));\\n            float dxRLerp = dxR - float(topDxRIndex);\\n            float inverseDxRLerp = 1.0 - dxRLerp;\\n\\n            float dxC = float(dyC) * widthScale;\\n            int leftDxCIndex = int(floor(dxC));\\n            int rightDxCIndex = int(min(ceil(dxC), \"+(a-1)+\".0));\\n            float dxCLerp = dxC - float(leftDxCIndex);\\n            float inverseDxCLerp = 1.0 - dxCLerp;\\n\\n            if (r == topDxRIndex && c == leftDxCIndex) {\\n              // topLeft\\n              accumulator +=\\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == topDxRIndex && c == rightDxCIndex) {\\n              // topRight\\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\\n              // bottomLeft\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\\n              // bottomRight\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeBilinearProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?i-1:i],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the four integer indices.\\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n        ivec2 sourceCeilRC = ivec2(\\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\\n\\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n        float newValue = top + (bottom - top) * fracRC.x;\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ResizeNearestNeigborBackpropProgram=function(){return function(e,t,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,o=r[1],a=r[2],i=e.shape,s=i[1],u=i[2],l=[n&&s>1?o-1:o,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float sourceFracRow =\\n              float(\"+l[0]+\") *\\n                (float(dyR) / float(\"+c[0]+\"));\\n\\n            float sourceFracCol =\\n                float(\"+l[1]+\") *\\n                  (float(dyC) / float(\"+c[1]+\"));\\n\\n            int sourceNearestRow = int(min(\\n                float(int(\"+o+\") - 1),\\n                \"+n+\" ? float(round(sourceFracRow)) :\\n                                  float(floor(sourceFracRow))));\\n\\n            int sourceNearestCol = int(min(\\n                float(int(\"+a+\") - 1),\\n                \"+n+\" ? float(round(sourceFracCol)) :\\n                                  float(floor(sourceFracCol))));\\n\\n            if (r == sourceNearestRow && c == sourceNearestCol) {\\n              accumulator += getDy(b, dyR, dyC, d);\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeNearestNeighborProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?i-1:i],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?\"0.5\":\"0.0\";this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the coordinators of nearest neighbor point.\\n        ivec2 sourceNearestRC = ivec2(\\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + \"+c+\")));\\n\\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ReverseProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.length;if(n>4)throw new Error(\"WebGL backend: Reverse of rank-\"+n+\" tensor is not yet supported\");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+\" - coords[\"+n+\"] - 1\":\"coords[\"+n+\"]\"}(r)}).join(\",\"),o=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+o+\" coords = getOutputCoords();\\n        setOutput(getX(\"+r+\"));\\n      }\\n    \"}else this.userCode=\"\\n        void main() {\\n          int coord = getOutputCoords();\\n          setOutput(getX(\"+e[0]+\" - coord - 1));\\n        }\\n      \"}}(),SegmentOpProgram=function(){return function(e,t){this.variableNames=[\"x\",\"segmentIds\"];var n=e.windowSize,r=e.batchSize,o=e.inSize,a=e.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,l=\"\\n        sumValue += dot(values, filter);\\n    \",c=\"\";o%n>0&&(c=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \");var p=\"\";o%n>0&&(p=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return -1.0;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = 0.0;\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+c+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      float getSegmentIdAtIndex(int inIdx) {\\n        \"+p+\"\\n        return getSegmentIds(inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = int(floor(float(outIdx) / float(\\n          \"+a+\")) * float(\"+n+\"));\\n        int currentSeg = int(mod(float(outIdx), float(\"+a+\")));\\n\\n        float sumValue = 0.0;\\n\\n        for (int i = 0; i < \"+s+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\\n          );\\n\\n          \"+l+\"\\n        }\\n\\n        int inIdx = inOffset + \"+s+\";\\n        if (\"+(1===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            0,\\n            0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(2===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n              0,\\n              0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(3===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        }\\n        setOutput(sumValue);\\n      }\\n    \"}}(),SelectProgram=function(){return function(e,t,n){var r,o;if(this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t,n>4)throw Error(\"Where for rank \"+n+\" is not yet supported\");if(1===n)o=\"resRC\",r=\"resRC\";else{for(var a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],i=[],s=[],u=0;u<t.length;u++)s.push(\"\"+a[u]),u<e&&i.push(\"\"+a[u]);r=i.join(),o=s.join()}var l=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+l+\" resRC = getOutputCoords();\\n        float cVal = getC(\"+r+\");\\n        if (cVal >= 1.0) {\\n          setOutput(getA(\"+o+\"));\\n        } else {\\n          setOutput(getB(\"+o+\"));\\n        }\\n      }\\n    \"}}(),SliceProgram=function(){function e(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;var t=getCoordsDataType(this.rank),n=getCoords$1(this.rank);this.userCode=\"\\n      uniform \"+t+\" start;\\n\\n      void main() {\\n        \"+t+\" sourceLoc = start + getOutputCoords();\\n        setOutput(getSource(\"+n+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error(\"The rank (\"+this.rank+\") of the program must match the length of start (\"+e.length+\")\");return function(n,r){if(null!=t.startLoc||(t.startLoc=n.getUniformLocationNoThrow(r,\"start\"),null!=t.startLoc))if(1===t.rank)n.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)n.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)n.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error(\"Slicing for rank \"+t.rank+\" is not yet supported\");n.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}();function getCoords$1(e){if(1===e)return\"sourceLoc\";if(2===e)return\"sourceLoc.x, sourceLoc.y\";if(3===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z\";if(4===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w\";throw Error(\"Slicing for rank \"+e+\" is not yet supported\")}var StridedSliceProgram=function(){return function(e,t,n,r){this.variableNames=[\"x\"];var o=n.filter(function(e,t){return-1===r.indexOf(t)});this.outputShape=o;var a=n.length,i=getCoordsDataType(n.length),s=getCoordsDataType(o.length),u=\"\";if(1===a)u=\"coords * strides + begin\";else{var l=0;u=n.map(function(e,t){return-1===r.indexOf(t)?(l++,1===o.length?\"coords * strides[\"+t+\"] + begin[\"+t+\"]\":\"coords[\"+(l-1)+\"] * strides[\"+t+\"] + begin[\"+t+\"]\"):\"begin[\"+t+\"]\"}).join(\",\")}this.userCode=\"\\n      \"+i+\" begin = \"+i+\"(\"+e+\");\\n      \"+i+\" strides = \"+i+\"(\"+t+\");\\n\\n      void main() {\\n        \"+s+\" coords = getOutputCoords();\\n        setOutput(getX(\"+u+\"));\\n      }\\n    \"}}(),TextureManager=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t){var n,r=getPhysicalFromLogicalTextureType(t),o=getKeyFromTextureShape(e,r);if(o in this.freeTextures||(this.freeTextures[o]=[]),o in this.usedTextures||(this.usedTextures[o]=[]),this.freeTextures[o].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var a=this.freeTextures[o].shift();return this.usedTextures[o].push(a),a}return this.numUsedTextures++,this.log(),r===PhysicalTextureType.PACKED_2X2_FLOAT32?n=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===PhysicalTextureType.UNPACKED_FLOAT32?n=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===PhysicalTextureType.UNPACKED_FLOAT16?n=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE&&(n=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[o].push(n),n},e.prototype.releaseTexture=function(e,t,n){var r=getKeyFromTextureShape(t,getPhysicalFromLogicalTextureType(n));r in this.freeTextures||(this.freeTextures[r]=[]),this.freeTextures[r].push(e),this.numFreeTextures++,this.numUsedTextures--;var o=this.usedTextures[r],a=o.indexOf(e);if(a<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");o.splice(a,1),this.log()},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",this.numFreeTextures+\" / \"+this.numUsedTextures,\"(\"+e+\")\")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});for(var t in this.usedTextures)this.usedTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function getPhysicalFromLogicalTextureType(e){if(e===TextureUsage.DOWNLOAD||e===TextureUsage.PIXELS)return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;if(e===TextureUsage.UPLOAD)return PhysicalTextureType.UNPACKED_FLOAT32;if(e===TextureUsage.RENDER)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.UNPACKED_FLOAT32:PhysicalTextureType.UNPACKED_FLOAT16;if(e===TextureUsage.PACK)return PhysicalTextureType.PACKED_2X2_FLOAT32;throw new Error(\"Unknown logical texture type \"+e)}function getKeyFromTextureShape(e,t){return e[0]+\"_\"+e[1]+\"_\"+t}var TileProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var o=getCoordsDataType(this.rank),a=getSourceCoords$1(e);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords$1(e){var t=e.length;if(t>5)throw Error(\"Tile for rank \"+t+\" is not yet supported\");if(1===t)return\"imod(resRC, \"+e[0]+\")\";for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],r=[],o=0;o<e.length;o++)r.push(\"imod(\"+n[o]+\", \"+e[o]+\")\");return r.join()}var TransposeProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var o=getCoordsDataType(this.rank),a=getSwitchedCoords(t);this.userCode=\"\\n    void main() {\\n      \"+o+\" resRC = getOutputCoords();\\n      setOutput(getA(\"+a+\"));\\n    }\\n    \"}}();function getSwitchedCoords(e){var t=e.length;if(t>6)throw Error(\"Transpose for rank \"+t+\" is not yet supported\");for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],r=new Array(t),o=0;o<e.length;o++)r[e[o]]=n[o];return r.join()}var ERF_P=.3275911,ERF_A1=.254829592,ERF_A2=-.284496736,ERF_A3=1.421413741,ERF_A4=-1.453152027,ERF_A5=1.061405429,SELU_SCALEALPHA=1.7580993408473768,SELU_SCALE=1.0507009873554805,UnaryOpProgram=function(){function e(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      uniform float NAN;\\n      float unaryOperation(float x) {\\n        \"+t+\"\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        float y = unaryOperation(x);\\n\\n        setOutput(y);\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),CHECK_NAN_SNIPPET$1=\"if (isNaN(x)) return x;\",ABS=\"return abs(x);\",RELU=CHECK_NAN_SNIPPET$1+\"\\n  return (x < 0.0) ? 0.0 : x;\\n\",ELU=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",SELU=\"\\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\\n  // see: https://arxiv.org/abs/1706.02515\\n  float scaleAlpha = \"+SELU_SCALEALPHA+\";\\n  float scale = \"+SELU_SCALE+\";\\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\\n\";function STEP(e){return void 0===e&&(e=0),CHECK_NAN_SNIPPET$1+\"\\n    return x > 0.0 ? 1.0 : float(\"+e+\");\\n  \"}var NEG=\"return -x;\",CEIL=\"return ceil(x);\",FLOOR=\"return floor(x);\",SIGN=\"\\n  if (isNaN(x)) { return 0.0; }\\n  return sign(x);\\n\",ROUND=\"\\n  // OpenGL ES does not support round function.\\n  // The algorithm is based on banker's rounding.\\n  float base = floor(x);\\n  if ((x - base) < 0.5) {\\n    return floor(x);\\n  } else if ((x - base) > 0.5) {\\n    return ceil(x);\\n  } else {\\n    if (mod(base, 2.0) == 0.0) {\\n      return base;\\n    } else {\\n      return base + 1.0;\\n    }\\n  }\\n\",EXP=\"return exp(x);\",EXPM1=\"return exp(x) - 1.0;\",LOG=\"if (x < 0.0) return NAN;\\n  return log(x);\",LOG1P=\"return log(1.0 + x);\",SQRT=\"return sqrt(x);\",RSQRT=\"return inversesqrt(x);\",SIGMOID=\"return 1.0 / (1.0 + exp(-1.0 * x));\",SOFTPLUS=\"\\n  float epsilon = 1.1920928955078125e-7;\\n  float threshold = log(epsilon) + 2.0;\\n\\n  bool too_large = x > -threshold;\\n  bool too_small = x < threshold;\\n\\n  float result;\\n  float exp_x = exp(x);\\n\\n  if (too_large){\\n    result = x;\\n  }\\n  else if (too_small){\\n    result = exp_x;\\n  }\\n  else{\\n    result = log(exp_x + 1.0);\\n  }\\n  return result;\\n\",SIN=CHECK_NAN_SNIPPET$1+\"\\n  return sin(x);\\n\",COS=CHECK_NAN_SNIPPET$1+\"\\n  return cos(x);\\n\",TAN=\"return tan(x);\",ASIN=\"return asin(x);\",ACOS=\"return acos(x);\",ATAN=CHECK_NAN_SNIPPET$1+\"\\n  return atan(x);\\n\",SINH=\"\\n  float e2x = exp(x);\\n  return (e2x - 1.0 / e2x) / 2.0;\\n\",COSH=\"\\n  float e2x = exp(-x);\\n  return (e2x + 1.0 / e2x) / 2.0;\\n\",TANH=\"\\n  float e2x = exp(-2.0 * abs(x));\\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\\n\",ASINH=\"return log(x + sqrt(x * x + 1.0));\",ACOSH=CHECK_NAN_SNIPPET$1+\"\\n  if (x < 1.0) return NAN;\\n  return log(x + sqrt(x * x - 1.0));\",ATANH=CHECK_NAN_SNIPPET$1+\"\\n  if ((x < -1.0) || (x > 1.0)) return NAN;\\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;\",ERF='\\n  // Error function is calculated approximately with elementary function.\\n  // See \"Handbook of Mathematical Functions with Formulas,\\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\\n  float p = '+ERF_P+\";\\n  float a1 = \"+ERF_A1+\";\\n  float a2 = \"+ERF_A2+\";\\n  float a3 = \"+ERF_A3+\";\\n  float a4 = \"+ERF_A4+\";\\n  float a5 = \"+ERF_A5+\";\\n\\n  float t = 1.0 / (1.0 + p * x);\\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\\n\",SQUARE=\"return x * x;\",RECIPROCAL=\"return 1.0 / x;\",LOGICAL_NOT=\"return float(!(x >= 1.0));\",TO_INT=\"return float(int(x));\",UnpackProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const vec2 onePixel = 1. / vec2(\"+e[1]+\", \"+e[0]+\");\\n\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n        vec2 modCoord = mod(vec2(rc.y, rc.x), 2.);\\n\\n        vec4 packedInput = texture2D(A,\\n          resultUV - step(1., modCoord) * onePixel);\\n\\n        setOutput(\\n          modCoord.x == 0. ?\\n            (modCoord.y == 0. ? packedInput.r : packedInput.b) :\\n            (modCoord.y == 0. ? packedInput.g : packedInput.a)\\n        );\\n      }\\n    \"}}();function concat1d_(e){return concat(e,0)}function concat2d_(e,t){return concat(e,t)}function concat3d_(e,t){return concat(e,t)}function concat4d_(e,t){return concat(e,t)}function concat_(e,t){void 0===t&&(t=0),assert(e.length>=1,\"Pass at least one tensor to concat\");var n=convertToTensorArray(e,\"tensors\",\"concat\");t=parseAxisParam(t,n[0].shape)[0];var 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Please use float32 or int32 tensors.\");if(l<0||c>255)throw new Error(\"Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [\"+l+\" - \"+c+\"].\")}return[4,n.data()];case 3:for(p=S.sent(),d=\"float32\"===n.dtype?255:1,h=new Uint8ClampedArray(a*o*4),f=0;f<o*a;++f)m=void 0,g=void 0,v=void 0,x=void 0,1===i?(m=p[f]*d,g=p[f]*d,v=p[f]*d,x=255):3===i?(m=p[3*f]*d,g=p[3*f+1]*d,v=p[3*f+2]*d,x=255):4===i&&(m=p[4*f]*d,g=p[4*f+1]*d,v=p[4*f+2]*d,x=p[4*f+3]*d),h[(y=4*f)+0]=Math.round(m),h[y+1]=Math.round(g),h[y+2]=Math.round(v),h[y+3]=Math.round(x);return null!=t&&(t.width=a,t.height=o,T=t.getContext(\"2d\"),b=new ImageData(h,a,o),T.putImageData(b,0,0)),n!==e&&n.dispose(),[2,h]}})})}function reshape_(e,t){var n=convertToTensor(e,\"x\",\"reshape\");t=inferFromImplicitShape(t,n.size),assert(n.size===sizeFromShape(t),\"new shape and old shape must have the same number of elements.\");return ENV.engine.runKernel(function(e){return e.reshape(n,t)},{$x:n},function(e){return{$x:function(){return e.reshape(n.shape)}}})}function squeeze_(e,t){var n=convertToTensor(e,\"x\",\"squeeze\");return reshape(n,squeezeShape(n.shape,t).newShape)}function cast_(e,t){var n=convertToTensor(e,\"x\",\"cast\");return ENV.engine.runKernel(function(e){return e.cast(n,t)},{$x:n},function(e){return{$x:function(){return e.clone()}}})}function tile_(e,t){var n=convertToTensor(e,\"x\",\"tile\");assert(n.rank===t.length,\"Error in transpose: rank of input \"+n.rank+\" must match length of reps \"+t+\".\");return ENV.engine.runKernel(function(e){return e.tile(n,t)},{$x:n},function(e){return{$x:function(){var r=zerosLike(n);if(1===n.rank)for(var o=0;o<t[0];++o)r=r.add(e.slice([o*n.shape[0]],[n.shape[0]]));else if(2===n.rank)for(o=0;o<t[0];++o)for(var a=0;a<t[1];++a)r=r.add(e.slice([o*n.shape[0],a*n.shape[1]],[n.shape[0],n.shape[1]]));else if(3===n.rank)for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(var i=0;i<t[2];++i)r=r.add(e.slice([o*n.shape[0],a*n.shape[1],i*n.shape[2]],[n.shape[0],n.shape[1],n.shape[2]]));else{if(4!==n.rank)throw new Error(\"Gradient for tile operation is not implemented for rank-\"+n.rank+\" tensors yet.\");for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(i=0;i<t[2];++i)for(var s=0;s<t[3];++s)r=r.add(e.slice([o*n.shape[0],a*n.shape[1],i*n.shape[2],s*n.shape[3]],[n.shape[0],n.shape[1],n.shape[2],n.shape[3]]))}return r}}})}function pad1d_(e,t,n){return void 0===n&&(n=0),assert(2===t.length,\"Invalid number of paddings. Must be length of 2.\"),pad(e,[t],n)}function pad2d_(e,t,n){return void 0===n&&(n=0),assert(2===t.length&&2===t[0].length&&2===t[1].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,n)}function pad3d_(e,t,n){return void 0===n&&(n=0),assert(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,n)}function pad4d_(e,t,n){return void 0===n&&(n=0),assert(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,n)}function pad_(e,t,n){void 0===n&&(n=0);var r=convertToTensor(e,\"x\",\"pad\");if(0===r.rank)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");var o=t.map(function(e){return e[0]});return ENV.engine.runKernel(function(e){return e.pad(r,t,n)},{$x:r},function(e){return{$x:function(){return e.slice(o,r.shape)}}})}function stack_(e,t){void 0===t&&(t=0);var n=convertToTensorArray(e,\"tensors\",\"stack\");if(assert(n.length>=1,\"Pass at least one tensor to tf.stack\"),1===n.length)return n[0].expandDims(t);var r=n[0].rank,o=n[0].shape,a=n[0].dtype;assert(t<=r,\"Axis must be <= rank of the tensor\"),n.forEach(function(e){assertShapesMatch(o,e.shape,\"All tensors passed to stack must have matching shapes\")}),n.forEach(function(e){assert(a===e.dtype,\"All tensors passed to stack must have matching dtypes\")});var i=n.map(function(e){return e.expandDims(t)});return concat(i,t)}function batchToSpaceND_(e,t,n){var r=convertToTensor(e,\"x\",\"batchToSpaceND\"),o=t.reduce(function(e,t){return e*t});assert(r.rank>=1+t.length,\"input rank should be > than [blockShape] but got \"+r.rank),assert(n.length===t.length,\"crops.shape[0] must be equal to [blockShape] but got \"+n.length),assert(r.shape[0]%o==0,\"input tensor batch must be divisible by prod( blockShape )\");return ENV.engine.runKernel(function(e){return e.batchToSpaceND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.spaceToBatchND(t,n)}}})}function spaceToBatchND_(e,t,n){var r=convertToTensor(e,\"x\",\"spaceToBatchND\");assert(r.rank>=1+t.length,\"input rank \"+r.rank+\" should be > than [blockShape] \"+t.length),assert(n.length===t.length,\"paddings.shape[0] \"+n.length+\" must be equal to [blockShape] \"+t.length),assert(r.shape.reduce(function(e,r,o){return o>0&&o<=t.length?e&&(r+n[o-1][0]+n[o-1][1])%t[o-1]==0:e},!0),\"input spatial dimensions \"+r.shape.slice(1)+\" with paddings \"+n.toString()+\" must be divisible by blockShapes \"+t.toString());return ENV.engine.runKernel(function(e){return e.spaceToBatchND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.batchToSpaceND(t,n)}}})}function unstack_(e,t){void 0===t&&(t=0);for(var n,r=convertToTensor(e,\"x\",\"unstack\"),o=r.shape[t],a=Array(r.rank-1).fill(0),i=0,s=0;s<r.rank;s++)s!==t&&(a[i]=r.shape[s],i++);n=Array(o).fill(1);var u=Array(r.rank).fill(0),l=r.shape.slice();return n.map(function(e){l[t]=e;var n=r.slice(u,l);return u[t]+=e,n.reshape(a)})}function cumsum_(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var o=convertToTensor(e,\"x\",\"cumsum\"),a=getAxesPermutation([t|=0],o.rank),i=o;null!=a&&(i=o.transpose(a));var s=getInnerMostAxes(1,o.rank)[0],u=ENV.engine.runKernel(function(e){return e.cumsum(i,s,n,r)},{permutedX:i},function(e){return{permutedX:function(){return e.cumsum(t,n,!r)}}});return null!=a&&(u=u.transpose(a)),u}function expandDims_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"expandDims\");assert(t<=n.rank,\"Axis must be <= rank of the tensor\");var r=n.shape.slice();return t<0&&(assert(-(n.rank+1)<=t,\"Axis must be in the interval [\"+-(n.rank+1)+\", \"+n.rank+\"]\"),t=n.rank+t+1),r.splice(t,0,1),reshape(n,r)}function depthToSpace_(e,t,n){void 0===n&&(n=\"NHWC\");var r=convertToTensor(e,\"x\",\"depthToSpace\"),o=\"NHWC\"===n?r.shape[1]:r.shape[2],a=\"NHWC\"===n?r.shape[2]:r.shape[3],i=\"NHWC\"===n?r.shape[3]:r.shape[1];return assert(o*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+o+\" and \"+t+\"  for depthToSpace with input shape\\n      \"+r.shape),assert(a*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+a+\" and \"+t+\" for depthToSpace with input shape\\n          \"+r.shape),assert(i%(t*t)==0,\"Dimension size must be evenly divisible by \"+t*t+\" but is \"+i+\" for depthToSpace with input shape \"+r.shape),ENV.engine.runKernel(function(e){return e.depthToSpace(r,t,n)},{$x:r})}function buffer(e,t,n){return void 0===t&&(t=\"float32\"),new TensorBuffer(e,t,n)}function print(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}var batchToSpaceND=op({batchToSpaceND_:batchToSpaceND_}),cast=op({cast_:cast_}),clone=op({clone_:clone_}),cumsum=op({cumsum_:cumsum_}),depthToSpace=op({depthToSpace_:depthToSpace_}),expandDims=op({expandDims_:expandDims_}),eye=op({eye_:eye_}),fromPixels=op({fromPixels_:fromPixels_}),multinomial=op({multinomial_:multinomial_}),oneHot=op({oneHot_:oneHot_}),pad=op({pad_:pad_}),pad1d=op({pad1d_:pad1d_}),pad2d=op({pad2d_:pad2d_}),pad3d=op({pad3d_:pad3d_}),pad4d=op({pad4d_:pad4d_}),rand=op({rand_:rand_}),randomNormal=op({randomNormal_:randomNormal_}),randomUniform=op({randomUniform_:randomUniform_}),reshape=op({reshape_:reshape_}),spaceToBatchND=op({spaceToBatchND_:spaceToBatchND_}),squeeze=op({squeeze_:squeeze_}),stack=op({stack_:stack_}),tile=op({tile_:tile_}),truncatedNormal=op({truncatedNormal_:truncatedNormal_}),unstack=op({unstack_:unstack_});function whereImpl(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);var o=buffer(e,\"int32\"),a=buffer([n.length,e.length],\"int32\");for(r=0;r<n.length;r++){var i=o.indexToLoc(n[r]),s=r*e.length;a.values.set(i,s)}return a.toTensor()}var BEFORE_PAGING_CONSTANT=300,SIZE_UPLOAD_UNIFORM=32,MathBackendWebGL=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.texData=new WeakMap,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ENV.get(\"WEBGL_VERSION\")<1)throw new Error(\"WebGL is not supported on this device\");ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\")),null==e?(this.gpgpu=new GPGPUContext(createWebGLContext(this.canvas)),this.gpgpuCreatedLocally=!0):this.gpgpuCreatedLocally=!1,this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*BEFORE_PAGING_CONSTANT,this.textureManager=new TextureManager(this.gpgpu)}return e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error(\"Data buffer is already registered\");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,complexTensors:null,texShape:null,usage:TextureUsage.RENDER})},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var n=[e.height,e.width],r=[e.height,e.width,t];if(!(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(e instanceof HTMLVideoElement){if(null==this.fromPixelsCanvas){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");if(\"complete\"!==document.readyState)throw new Error(\"The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object\");this.fromPixelsCanvas=document.createElement(\"canvas\")}this.fromPixelsCanvas.width=e.width,this.fromPixelsCanvas.height=e.height,this.fromPixelsCanvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),e=this.fromPixelsCanvas}var o=Tensor.make(n,{},\"int32\");this.texData.get(o.dataId).usage=TextureUsage.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(o.dataId),e);var a=new FromPixelsProgram(r),i=this.compileAndRun(a,[o]);return o.dispose(),i},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendWebGL.write(): values can not be null\");this.throwIfNoData(e);var n=this.texData.get(e),r=n.texture,o=n.texShape,a=n.usage;if(\"complex64\"===n.dtype)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");null!=r&&(this.releaseTexture(e,r,o,a),n.texture=null,n.texShape=null),n.usage=TextureUsage.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.texture,o=t.values,a=t.texShape,i=t.dtype,s=t.complexTensors;if(null!=o)return this.cacheOnCPU(e),o;var u,l,c=null!=this.activeTimers;(c&&(u=performance.now()),\"complex64\"===i)?l=mergeRealAndImagArrays(s.real.dataSync(),s.imag.dataSync()):l=this.getValuesFromTexture(r,e,i,a,n);return c&&(this.downloadWaitMs+=performance.now()-u),this.cacheOnCPU(e,l),t.values},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i,s,u,l,c;return __generator(this,function(p){switch(p.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(this.throwIfNoData(e),n=this.texData.get(e),r=n.shape,o=n.texture,a=n.values,i=n.texShape,s=n.dtype,null!=a)return this.cacheOnCPU(e),[2,a];if(this.pendingRead.set(e,[]),!ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&2===ENV.get(\"WEBGL_VERSION\"))throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");return u=this.gpgpu.maybeCreateBufferFromTexture(o,i[0],i[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return p.sent(),l=u instanceof WebGLTexture?this.getValuesFromTexture(o,e,s,i,r):this.gpgpu.downloadFloat32MatrixFromBuffer(u,i[0],i[1]),this.cacheOnCPU(e,l),c=this.pendingRead.get(e),this.pendingRead.delete(e),c.forEach(function(e){return e(l)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,l]}})})},e.prototype.getValuesFromTexture=function(e,t,n,r,o){if(ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"))return this.texData.get(t).usage===TextureUsage.PACK?this.gpgpu.downloadMatrixFromPackedTexture(e,r[0],r[1]):this.gpgpu.downloadFloat32MatrixFromOutputTexture(e,r[0],r[1]);var a=Tensor.make(o,{});this.texData.get(a.dataId).usage=TextureUsage.DOWNLOAD;var i=Tensor.make(o,{dataId:t},n),s=new EncodeFloatProgram(o);this.compileAndRun(s,[i],a,null,!1);var u=this.texData.get(a.dataId),l=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(u.texture,u.texShape[0],u.texShape[1]);return i.dispose(),a.dispose(),l},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i;return __generator(this,function(s){switch(s.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),o=flatten(this.activeTimers),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(o).then(function(e){var t=0;return e.forEach(function(e){return t+=e}),t})];case 1:return a=s.sent(),i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:a,wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,i]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,o=t.usage,a=t.complexTensors;null!=n&&this.releaseTexture(e,n,r,o),null!=a&&(a.real.dispose(),a.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var n=Tensor.make(e.shape,{},\"complex64\");return this.texData.get(n.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,n){var r=new SliceProgram(n),o=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,o)},e.prototype.stridedSlice=function(e,t,n,r,o,a,i,s,u){var l=getStridedSlicedInfo(e.shape,t,n,r,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);var f=new StridedSliceProgram(c,r,p,d);return this.compileAndRun(f,[e])},e.prototype.reverse=function(e,t){var n=new ReverseProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat2Tensors=function(e,t,n){var r=computeOutShape([e.shape,t.shape],n),o=e.as2D(-1,sizeFromShape(e.shape.slice(n))),a=t.as2D(-1,sizeFromShape(t.shape.slice(n))),i=new ConcatProgram(o.shape,a.shape);return this.compileAndRun(i,[o,a]).reshape(r)},e.prototype.concat=function(e,t){if(1===e.length)return e[0];for(var n=e[0],r=1;r<e.length;++r)n=this.concat2Tensors(n,e[r],t);return n},e.prototype.neg=function(e){var t=new UnaryOpProgram(e.shape,NEG);return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,n,r){var o=n?e.shape[2]:e.shape[1],a=r?t.shape[1]:t.shape[2];if(ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")&&1===e.shape[0]&&1===t.shape[0]&&arraysEqual(getTextureShapeFromLogicalShape(this.gpgpu.gl,[o,a]),[o,a])){var i=e.as2D(e.shape[1],e.shape[2]),s=t.as2D(t.shape[1],t.shape[2]),u=new PackProgram(i.shape),l=Tensor.make(i.shape,{});this.texData.get(l.dataId).usage=TextureUsage.PACK;var c=this.compileAndRun(u,[i],l),p=new PackProgram(s.shape),d=Tensor.make(s.shape,{});this.texData.get(d.dataId).usage=TextureUsage.PACK;var h=this.compileAndRun(p,[s],d),f=new MatMulPackedProgram(c.shape,h.shape,[o,a],n,r),m=Tensor.make(f.outputShape,{});this.texData.get(m.dataId).usage=TextureUsage.PACK;var g=this.compileAndRun(f,[c,h],m),v=new UnpackProgram(g.shape),x=this.compileAndRun(v,[g]);return l.dispose(),d.dispose(),m.dispose(),x.reshape([1,g.shape[0],g.shape[1]])}return this.compileAndRun(new MatMulProgram(e.shape,t.shape,n,r),[e,t])},e.prototype.multiply=function(e,t){if(\"complex64\"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),o=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.REAL,e.shape,t.shape),a=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.IMAG,e.shape,t.shape),i=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag),this.makeComplexComponentTensorHandle(t,r.complexTensors.real),this.makeComplexComponentTensorHandle(t,r.complexTensors.imag)],s=this.compileAndRun(o,i),u=this.compileAndRun(a,i),l=this.complex(s,u);return s.dispose(),u.dispose(),l}var c=new BinaryOpProgram(MUL,e.shape,t.shape),p=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],p)},e.prototype.batchNormalization=function(e,t,n,r,o,a){var i=[e,t,n],s=null;null!=a&&(s=a.shape,i.push(a));var u=null;null!=o&&(u=o.shape,i.push(o));var l=new BatchNormProgram(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,i)},e.prototype.localResponseNormalization4D=function(e,t,n,r,o){var a=new LRNProgram(e.shape,t,n,r,o);return this.compileAndRun(a,[e])},e.prototype.LRNGrad=function(e,t,n,r,o,a,i){var s=new LRNGradProgram(t.shape,r,o,a,i);return this.compileAndRun(s,[t,n,e])},e.prototype.tile=function(e,t){var n=new TileProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new PadProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new TransposeProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new GatherProgram(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.batchToSpaceND=function(e,t,n){assert(e.rank<=4,\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");var r=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,r),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,r),s=getSliceBeginCoords(n,t.length),u=getSliceSize(i,n,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){assert(e.rank<=4,\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");var r=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,n);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,r,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,r,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,n){var r=e.shape[0],o=e.shape[1],a=computeOptimalWindowSize(o),i=new ReduceProgram({windowSize:a,inSize:o,batchSize:r},t),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(i,[e],c),1===c.shape[1]?c:this.reduce(c,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],o=e.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=computeOptimalWindowSize(o),i=new ArgMinMaxProgram({windowSize:a,inSize:o,batchSize:r},t,null==n),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],\"int32\"),p=[e];return null!=n&&p.push(n),this.compileAndRun(i,p,c),1===c.shape[1]?c:this.argReduce(e,t,c)},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o),i=sumOutType(e.dtype);return this.reduce(a,\"sum\",i).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,o=getAxesPermutation([r],e.rank),a=e;null!=o&&(a=e.transpose(o),r=getInnerMostAxes(1,e.rank)[0]);var i=computeOutShape$1(a.shape,r,n),s=sizeFromShape([a.shape[r]]),u=a.as2D(-1,s),l=sumOutType(e.dtype),c=this.segOpCompute(u,\"unsortedSegmentSum\",t,l,n).reshape(i);return null!=o&&(c=c.transpose(getUndoAxesPermutation(o))),c},e.prototype.segOpCompute=function(e,t,n,r,o){var a=e.shape[0],i=e.shape[1],s=segOpComputeOptimalWindowSize(i,o),u=new SegmentOpProgram({windowSize:s,inSize:i,batchSize:a,numSegments:o},t),l=u.outputShape,c=l[0],p=l[1],d=this.makeOutputArray([c,p],r);return this.compileAndRun(u,[e,n],d),d.shape[1]===o?d:(n=range(0,o).tile([i/s]),this.segOpCompute(d,t,n,r,o))},e.prototype.argMin=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMin\",n,e.rank);var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=sizeFromShape(r[1]),i=e.as2D(-1,a);return this.argReduce(i,\"min\").reshape(o)},e.prototype.argMax=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMax\",n,e.rank);var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=sizeFromShape(r[1]),i=e.as2D(-1,a);return this.argReduce(i,\"max\").reshape(o)},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error(\"WebGL cumsum shader expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);var o=new CumSumProgram(e.shape,n,r);return this.compileAndRun(o,[e])},e.prototype.equal=function(e,t){var n=new BinaryOpProgram(EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new BinaryOpProgram(NOT_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){var n=new BinaryOpProgram(LESS,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new BinaryOpProgram(LESS_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){var n=new BinaryOpProgram(GREATER,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new BinaryOpProgram(GREATER_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new UnaryOpProgram(e.shape,LOGICAL_NOT);return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new BinaryOpProgram(LOGICAL_AND,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new BinaryOpProgram(LOGICAL_OR,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.select=function(e,t,n){var r=new SelectProgram(e.rank,t.shape,t.rank),o=this.makeOutputArray(r.outputShape,upcastType(t.dtype,n.dtype));return this.compileAndRun(r,[e,t,n],o)},e.prototype.where=function(e){warn(\"tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,n){return topkImpl(e.dataSync(),e.shape,e.dtype,t,n)},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"min\",a.dtype).reshape(r)},e.prototype.minimum=function(e,t){var n=new BinaryOpProgram(MIN,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new BinaryOpProgram(MOD,e.shape,t.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[e,t],null,r)},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"max\",a.dtype).reshape(r)},e.prototype.maximum=function(e,t){var n=new BinaryOpProgram(MAX,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"all\",a.dtype).reshape(r)},e.prototype.any=function(e,t){assertAxesAreInnerMostDims(\"any\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"any\",a.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new BinaryOpProgram(SQUARED_DIFFERENCE,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new BinaryOpProgram(DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new BinaryOpProgram(INT_DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"int32\");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,ADD);var n=new BinaryOpProgram(ADD,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,o=this.texData.get(e.dataId),a=this.texData.get(t.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map(function(o){var a=o[0],i=o[1],s=new BinaryOpProgram(n,e.shape,t.shape),u=r.makeOutputArray(s.outputShape,upcastType(a.dtype,i.dtype)),l=r.makeComplexComponentTensorHandle(e,a),c=r.makeComplexComponentTensorHandle(t,i);return r.compileAndRun(s,[l,c],u)}),s=i[0],u=i[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],n=1;n<e.length;n++)t=this.add(t,e[n]);return t},e.prototype.subtract=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,SUB);var n=new BinaryOpProgram(SUB,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new BinaryOpProgram(POW,e.shape,t.shape),r=n.getCustomSetupFunc(),o=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],o,r)},e.prototype.ceil=function(e){var t=new UnaryOpProgram(e.shape,CEIL);return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new UnaryOpProgram(e.shape,FLOOR);return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new UnaryOpProgram(e.shape,SIGN);return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new UnaryOpProgram(e.shape,ROUND);return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new UnaryOpProgram(e.shape,EXP);return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new UnaryOpProgram(e.shape,EXPM1);return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new UnaryOpProgram(e.shape,LOG),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.log1p=function(e){var t=new UnaryOpProgram(e.shape,LOG1P);return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new UnaryOpProgram(e.shape,SQRT);return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new UnaryOpProgram(e.shape,RSQRT);return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new UnaryOpProgram(e.shape,SQUARE);return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new UnaryOpProgram(e.shape,RECIPROCAL);return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new UnaryOpProgram(e.shape,RELU);return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new UnaryOpProgram(e.shape,ELU);return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new BinaryOpProgram(ELU_DER,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new UnaryOpProgram(e.shape,SELU);return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new UnaryOpProgram(e.shape,TO_INT),n=this.makeOutputArray(t.outputShape,\"int32\");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new ClipProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new UnaryOpProgram(e.shape,ABS);return this.compileAndRun(t,[e])},e.prototype.sigmoid=function(e){var t=new UnaryOpProgram(e.shape,SIGMOID);return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new UnaryOpProgram(e.shape,SOFTPLUS);return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new UnaryOpProgram(e.shape,SIN);return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new UnaryOpProgram(e.shape,COS);return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new UnaryOpProgram(e.shape,TAN);return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new UnaryOpProgram(e.shape,ASIN);return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new UnaryOpProgram(e.shape,ACOS);return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new UnaryOpProgram(e.shape,ATAN);return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new BinaryOpProgram(ATAN2,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new UnaryOpProgram(e.shape,SINH);return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new UnaryOpProgram(e.shape,COSH);return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new UnaryOpProgram(e.shape,TANH);return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new UnaryOpProgram(e.shape,ASINH);return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new UnaryOpProgram(e.shape,ACOSH),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.atanh=function(e){var t=new UnaryOpProgram(e.shape,ATANH),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.erf=function(e){var t=new UnaryOpProgram(e.shape,ERF);return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new UnaryOpProgram(e.shape,STEP(t));return this.compileAndRun(n,[e])},e.prototype.conv2d=function(e,t,n){var r=new Conv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new Conv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new Conv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new DepthwiseConv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new DepthwiseConv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new DepthwiseConv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new Pool2DProgram(t,\"max\",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new Pool2DProgram(t,\"avg\",!1),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var o=new Pool2DProgram(r,\"max\",!0),a=this.compileAndRun(o,[t]),i=new MaxPool2DBackpropProgram(r),s=this.makeOutputArray(i.outputShape,t.dtype),u=this.compileAndRun(i,[e,a],s);return a.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new AvgPool2DBackpropProgram(n),o=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],o)},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var o=new ResizeBilinearProgram(e.shape,t,n,r);return this.compileAndRun(o,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new ResizeBilinearBackpropProgram(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var o=new ResizeNearestNeighborProgram(e.shape,t,n,r);return this.compileAndRun(o,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new ResizeNearestNeigborBackpropProgram(e,t,n);return this.compileAndRun(r,[e])},e.prototype.multinomial=function(e,t,n,r){var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=new MultinomialProgram(a,i,n),u=this.makeOutputArray(s.outputShape,\"int32\"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],u,l)},e.prototype.oneHot=function(e,t,n,r){var o=new OneHotProgram(e.size,t,n,r);return this.compileAndRun(o,[e])},e.prototype.nonMaxSuppression=function(e,t,n,r,o){return warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),n,r,o)},e.prototype.cropAndResize=function(e,t,n,r,o,a){var i=new CropAndResizeProgram(e.shape,t.shape,r,o,a);return this.compileAndRun(i,[e,t,n])},e.prototype.depthToSpace=function(e,t,n){assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);var r=e.shape[0],o=(\"NHWC\"===n?e.shape[1]:e.shape[2])*t,a=(\"NHWC\"===n?e.shape[2]:e.shape[3])*t,i=(\"NHWC\"===n?e.shape[3]:e.shape[1])/(t*t),s=new DepthToSpaceProgram(\"NHWC\"===n?[r,o,a,i]:[r,i,o,a],t,n);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,n){return split(e,t,n)},e.prototype.makeOutputArray=function(e,t){return Tensor.make(e,{},t)},e.prototype.compileAndRun=function(e,t,n,r,o){var a=this;if(void 0===o&&(o=!0),null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=getTypedArrayFromDType(n.dtype,0),n;var i=t.map(function(e){if(\"complex64\"===e.dtype)throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");var t=a.texData.get(e.dataId);return null==t.texture&&sizeFromShape(e.shape)<=SIZE_UPLOAD_UNIFORM?{shape:e.shape,texData:null,isUniform:!0,uniformValues:a.readSync(e.dataId)}:(a.uploadToGPU(e.dataId),{shape:e.shape,texData:t,isUniform:!1})});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=makeShaderKey(e,i,u),c=this.getAndSaveBinary(l,function(){return compileProgram(a.gpgpu,e,i,u)}),p=null!=this.activeTimers;if(p&&(s=this.startTimer()),runProgram(c,i,u,r),o&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var d=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;d>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),f=this.texData.get(h),m=f.shape,g=f.dtype;d-=this.computeBytes(m,g),this.read(h)}return p&&(s=this.endTimer(s),this.activeTimers.push(this.getQueryTime(s))),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixelsCanvas&&this.fromPixelsCanvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return tidy(function(){return e.abs(scalar(1e-8)).get()>0?32:16})},e.prototype.throwIfNoData=function(e){if(!this.texData.has(e))throw new Error(\"WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.uploadToGPU=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.values,o=t.texture,a=t.dtype,i=t.usage;if(null==o){var s,u=null!=this.activeTimers;u&&(s=performance.now());var l=getTextureShapeFromLogicalShape(this.gpgpu.gl,n);t.texShape=l;var c=this.acquireTexture(e,l,i);t.texture=c,null!=r&&(this.gpgpu.uploadMatrixToTexture(c,l[0],l[1],typedArrayToFloat32(r,a)),t.values=null,u&&(this.uploadWaitMs+=performance.now()-s))}else{this.lruDataGPU.indexOf(e)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),this.lruDataGPU.push(e))}},e.prototype.cacheOnCPU=function(e,t){var n=this.delayedStorage,r=this.texData.get(e),o=r.texture,a=r.texShape,i=r.dtype,s=r.usage;n&&null!=o&&(this.releaseTexture(e,o,a,s),r.texture=null,r.texShape=null),r.usage=TextureUsage.UPLOAD,null!=t&&(r.values=float32ToTypedArray(t,i))},e.prototype.releaseTexture=function(e,t,n,r){var o=this.texData.get(e),a=o.shape,i=o.dtype,s=this.lruDataGPU.indexOf(e);s>=0&&this.lruDataGPU.splice(s,1),this.numBytesInGPU-=this.computeBytes(a,i),this.textureManager.releaseTexture(t,n,r)},e.prototype.acquireTexture=function(e,t,n){var r=this.texData.get(e),o=r.shape,a=r.dtype;return this.lruDataGPU.push(e),this.numBytesInGPU+=this.computeBytes(o,a),this.textureManager.acquireTexture(t,n)},e.prototype.computeBytes=function(e,t){return sizeFromShape(e)*bytesPerElement(t)},e}();function float32ToTypedArray(e,t){if(\"float32\"===t||\"complex64\"===t)return e;if(\"int32\"===t||\"bool\"===t){for(var n=\"int32\"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error(\"Unknown dtype \"+t)}function typedArrayToFloat32(e,t){return e instanceof Float32Array?e:new Float32Array(e)}function neg_(e){var t=convertToTensor(e,\"x\",\"neg\");return ENV.engine.runKernel(function(e){return e.neg(t)},{$x:t},function(e){return{$x:function(){return e.neg()}}})}function ceil_(e){var t=convertToTensor(e,\"x\",\"ceil\");return ENV.engine.runKernel(function(e){return e.ceil(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function floor_(e){var t=convertToTensor(e,\"x\",\"floor\");return ENV.engine.runKernel(function(e){return e.floor(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function sign_(e){var t=convertToTensor(e,\"x\",\"sign\");return ENV.engine.runKernel(function(e){return e.sign(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function round_(e){var t=convertToTensor(e,\"x\",\"round\");return ENV.engine.runKernel(function(e){return e.round(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function exp_(e){var t=convertToTensor(e,\"x\",\"exp\");return ENV.engine.runKernel(function(e,n){return n(e.exp(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return e.mulStrict(n)}}})}function expm1_(e){var t=convertToTensor(e,\"x\",\"expm1\");return ENV.engine.runKernel(function(e){return e.expm1(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.exp())}}})}function log_(e){var t=convertToTensor(e,\"x\",\"log\");return ENV.engine.runKernel(function(e){return e.log(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat())}}})}function log1p_(e){var t=convertToTensor(e,\"x\",\"log1p\");return ENV.engine.runKernel(function(e){return e.log1p(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.add(scalar(1)))}}})}function sqrt_(e){var t=convertToTensor(e,\"x\",\"sqrt\");return ENV.engine.runKernel(function(e){return e.sqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().sqrt().mul(scalar(2)))}}})}function rsqrt_(e){var t=convertToTensor(e,\"x\",\"rsqrt\");return ENV.engine.runKernel(function(e){return e.rsqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.pow(scalar(1.5)).mul(scalar(2))).neg()}}})}function square_(e){var t=convertToTensor(e,\"x\",\"square\");return ENV.engine.runKernel(function(e){return e.square(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().mul(scalar(2)))}}})}function reciprocal_(e){var t=convertToTensor(e,\"x\",\"reciprocal\");return ENV.engine.runKernel(function(e){return e.reciprocal(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.square().neg())}}})}function abs_(e){var t=convertToTensor(e,\"x\",\"abs\");return ENV.engine.runKernel(function(e){return e.abs(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().step(-1))}}})}function clipByValue_(e,t,n){var r=convertToTensor(e,\"x\",\"clipByValue\");assert(t<=n,\"Error in clip: min (\"+t+\") must be less than or equal to max (\"+n+\").\");return ENV.engine.runKernel(function(e){return e.clip(r,t,n)},{$x:r},function(e){return{$x:function(){return e.where(r.greaterEqual(scalar(t)).logicalAnd(r.lessEqual(scalar(n))),zerosLike(e))}}})}function sigmoid_(e){var t=convertToTensor(e,\"x\",\"sigmoid\");return ENV.engine.runKernel(function(e,n){return n(e.sigmoid(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return e.mulStrict(n.mul(scalar(1).sub(n)))}}})}function logSigmoid_(e){var t=convertToTensor(e,\"x\",\"logSigmoid\");return ENV.engine.runKernel(function(e){return e.softplus(t.neg()).neg()},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.neg().sigmoid())}}})}function softplus_(e){var t=convertToTensor(e,\"x\",\"softplus\");return ENV.engine.runKernel(function(e){return e.softplus(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.sigmoid())}}})}function sin_(e){var t=convertToTensor(e,\"x\",\"sin\");return ENV.engine.runKernel(function(e){return e.sin(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cos().mulStrict(e)}}})}function cos_(e){var t=convertToTensor(e,\"x\",\"cos\");return ENV.engine.runKernel(function(e){return e.cos(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sin().neg().mulStrict(e)}}})}function tan_(e){var t=convertToTensor(e,\"x\",\"tan\");return ENV.engine.runKernel(function(e){return e.tan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.cos().square())}}})}function asin_(e){var t=convertToTensor(e,\"x\",\"asin\");return ENV.engine.runKernel(function(e){return e.asin(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt())}}})}function acos_(e){var t=convertToTensor(e,\"x\",\"acos\");return ENV.engine.runKernel(function(e){return e.acos(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt()).neg()}}})}function atan_(e){var t=convertToTensor(e,\"x\",\"atan\");return ENV.engine.runKernel(function(e){return e.atan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()))}}})}function sinh_(e){var t=convertToTensor(e,\"x\",\"sinh\");return ENV.engine.runKernel(function(e){return e.sinh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cosh().mulStrict(e)}}})}function cosh_(e){var t=convertToTensor(e,\"x\",\"cosh\");return ENV.engine.runKernel(function(e){return e.cosh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sinh().mulStrict(e)}}})}function tanh_(e){var t=convertToTensor(e,\"x\",\"tanh\");return ENV.engine.runKernel(function(e,n){return n(e.tanh(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return scalar(1).sub(n.square()).mulStrict(e)}}})}function asinh_(e){var t=convertToTensor(e,\"x\",\"asinh\");return ENV.engine.runKernel(function(e){return e.asinh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()).sqrt())}}})}function acosh_(e){var t=convertToTensor(e,\"x\",\"acosh\");return ENV.engine.runKernel(function(e){return e.acosh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().square().sub(scalar(1)).sqrt())}}})}function atanh_(e){var t=convertToTensor(e,\"x\",\"atanh\");return ENV.engine.runKernel(function(e){return e.atanh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()))}}})}function erf_(e){var t=convertToTensor(e,\"x\",\"erf\");assert(\"int32\"===t.dtype||\"float32\"===t.dtype,\"Input dtype must be `int32` or `float32`.\"),\"int32\"===t.dtype&&(t=t.toFloat());return ENV.engine.runKernel(function(e){return e.erf(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(scalar(2/Math.sqrt(Math.PI)).mul(t.square().neg().exp()))}}})}function step_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"step\");return ENV.engine.runKernel(function(e){return e.step(n,t)},{$x:n},function(e){return{$x:function(){return zerosLike(e)}}})}ENV.get(\"IS_BROWSER\")&&ENV.registerBackend(\"webgl\",function(){return new MathBackendWebGL},2,setTensorTracker);var abs=op({abs_:abs_}),acos=op({acos_:acos_}),acosh=op({acosh_:acosh_}),asin=op({asin_:asin_}),asinh=op({asinh_:asinh_}),atan=op({atan_:atan_}),atanh=op({atanh_:atanh_}),ceil=op({ceil_:ceil_}),clipByValue=op({clipByValue_:clipByValue_}),cos=op({cos_:cos_}),cosh=op({cosh_:cosh_}),erf=op({erf_:erf_}),exp=op({exp_:exp_}),expm1=op({expm1_:expm1_}),floor=op({floor_:floor_}),log$1=op({log_:log_}),log1p=op({log1p_:log1p_}),logSigmoid=op({logSigmoid_:logSigmoid_}),neg=op({neg_:neg_}),reciprocal=op({reciprocal_:reciprocal_}),round=op({round_:round_}),rsqrt=op({rsqrt_:rsqrt_}),sigmoid=op({sigmoid_:sigmoid_}),sign=op({sign_:sign_}),sin=op({sin_:sin_}),sinh=op({sinh_:sinh_}),softplus=op({softplus_:softplus_}),sqrt=op({sqrt_:sqrt_}),square=op({square_:square_}),step=op({step_:step_}),tan=op({tan_:tan_}),tanh$1=op({tanh_:tanh_});function batchNormalization2d_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(n,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(2===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(2===l.rank||1===l.rank,\"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank \"+l.rank+\".\"),assert(2===c.rank||1===c.rank,\"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(2===i.rank||1===i.rank,\"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(2===s.rank||1===s.rank,\"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,r,i,s)}function batchNormalization3d_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(n,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(3===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(3===l.rank||1===l.rank,\"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank \"+l.rank+\".\"),assert(3===c.rank||1===c.rank,\"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(3===i.rank||1===i.rank,\"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(3===s.rank||1===s.rank,\"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,r,i,s)}function batchNormalization4d_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(n,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(4===u.rank,\"Error in batchNormalization4D: x must be rank 4 but got rank \"+u.rank+\".\"),assert(4===l.rank||1===l.rank,\"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank \"+l.rank+\".\"),assert(4===c.rank||1===c.rank,\"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(4===i.rank||1===i.rank,\"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(4===s.rank||1===s.rank,\"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,r,i,s)}function batchNormalization_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u,l=convertToTensor(e,\"x\",\"batchNormalization\"),c=convertToTensor(t,\"mean\",\"batchNormalization\"),p=convertToTensor(n,\"variance\",\"batchNormalization\");null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(c.rank===p.rank,\"Batch normalization gradient requires mean and variance to have equal ranks.\"),assert(null==s||c.rank===s.rank,\"Batch normalization gradient requires mean and offset to have equal ranks.\"),assert(null==i||c.rank===i.rank,\"Batch normalization gradient requires mean and scale to have equal ranks.\"),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l;return ENV.engine.runKernel(function(e){return e.batchNormalization(u,batchnormReshape4D(c),batchnormReshape4D(p),r,batchnormReshape4D(i),batchnormReshape4D(s))},{$x:l,$mean:c,$variance:p,$scale:i,$offset:s},function(e){var t=null==i?scalar(1):i,n=getReductionAxes(c.shape,u.shape),o=[];if(1===c.rank){for(var a=0;a<u.shape.length-1;++a)o.push(u.shape[a]);o.push(1)}var s=l.sub(c),d=e.mul(t),h=rsqrt(p.add(scalar(r))),f=h.mul(h).mul(h).mul(scalar(-.5));return{$x:function(){return 1===c.rank?e.mul(tile(h.as4D(1,1,1,c.shape[0]),o)).mul(t).reshape(l.shape):e.mul(h).mul(t).reshape(l.shape)},$mean:function(){var e=h.mul(scalar(-1)).mul(d);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$variance:function(){var e=f.mul(s).mul(d);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$scale:function(){var t=s.mul(h),r=e.mul(t);return 1===c.rank&&(r=r.sum(n)),r.reshape(c.shape)},$offset:function(){var t=e;return 1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)}}}).reshape(l.shape)}function batchnormReshape4D(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}var batchNormalization2d=op({batchNormalization2d_:batchNormalization2d_}),batchNormalization3d=op({batchNormalization3d_:batchNormalization3d_}),batchNormalization4d=op({batchNormalization4d_:batchNormalization4d_}),batchNormalization=op({batchNormalization_:batchNormalization_});function computePool2DInfo(e,t,n,r,o,a){void 0===a&&(a=\"channelsLast\");var i,s=parseTupleParam(t),u=s[0],l=s[1];if(\"channelsLast\"===a)i=[u,l,e[3],e[3]];else{if(\"channelsFirst\"!==a)throw new Error(\"Unknown dataFormat \"+a);i=[u,l,e[1],e[1]]}return computeConv2DInfo(e,i,n,1,r,o,!1,a)}function computeConv2DInfo(e,t,n,r,o,a,i,s){void 0===i&&(i=!1),void 0===s&&(s=\"channelsLast\");var u=[-1,-1,-1,-1],l=u[0],c=u[1],p=u[2],d=u[3];if(\"channelsLast\"===s)l=e[0],c=e[1],p=e[2],d=e[3];else{if(\"channelsFirst\"!==s)throw new Error(\"Unknown dataFormat \"+s);l=e[0],d=e[1],c=e[2],p=e[3]}var h,f=t[0],m=t[1],g=t[3],v=parseTupleParam(n),x=v[0],y=v[1],T=parseTupleParam(r),b=T[0],S=T[1],E=getPadAndOutInfo(o,c,p,x,y,getEffectiveFilterSize(f,b),getEffectiveFilterSize(m,S),a),w=E.padInfo,C=E.outHeight,A=E.outWidth,_=i?g*d:g;return\"channelsFirst\"===s?h=[l,_,C,A]:\"channelsLast\"===s&&(h=[l,C,A,_]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:p,inChannels:d,outHeight:C,outWidth:A,outChannels:_,padInfo:w,strideHeight:x,strideWidth:y,filterHeight:f,filterWidth:m,dilationHeight:b,dilationWidth:S,inShape:e,outShape:h,filterShape:t}}function computeOutputShape3D(e,t,n,r,o,a){null==o&&(o=computeDefaultPad(e,t,r));var i=e[0],s=e[1],u=conditionalRound((i-t+2*o)/r+1,a);assert(isInt(u),\"The output # of rows (\"+u+\") must be an integer. Change the stride and/or zero pad parameters\");var l=conditionalRound((s-t+2*o)/r+1,a);return assert(isInt(l),\"The output # of columns (\"+l+\") must be an integer. Change the stride and/or zero pad parameters\"),[u,l,n]}function computeDefaultPad(e,t,n,r){void 0===r&&(r=1);var o=getEffectiveFilterSize(t,r);return Math.floor((e[0]*(n-1)-n+o)/2)}function parseTupleParam(e){return\"number\"==typeof e?[e,e]:e}function getEffectiveFilterSize(e,t){return t<=1?e:e+(e-1)*(t-1)}function getPadAndOutInfo(e,t,n,r,o,a,i,s){var u,l,c;if(\"number\"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?\"VALID\":\"NUMBER\"};var p=computeOutputShape3D([t,n,1],a,1,r,e,s);l=p[0],c=p[1]}else if(\"same\"===e){var d=((l=Math.ceil(t/r))-1)*r+a-t,h=((c=Math.ceil(n/o))-1)*o+i-n,f=Math.floor(d/2),m=d-f,g=Math.floor(h/2);u={top:f,bottom:m,left:g,right:h-g,type:\"SAME\"}}else{if(\"valid\"!==e)throw Error(\"Unknown padding parameter: \"+e);u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},l=Math.ceil((t-a+1)/r),c=Math.ceil((n-i+1)/o)}return{padInfo:u,outHeight:l,outWidth:c}}function conditionalRound(e,t){if(!t)return e;switch(t){case\"round\":return Math.round(e);case\"ceil\":return Math.ceil(e);case\"floor\":return Math.floor(e);default:throw new Error(\"Unknown roundingMode \"+t)}}function matMul_(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var o=convertToTensor(e,\"a\",\"matMul\"),a=convertToTensor(t,\"b\",\"matMul\"),i=n?o.shape[o.rank-2]:o.shape[o.rank-1],s=r?a.shape[a.rank-1]:a.shape[a.rank-2],u=n?o.shape[o.rank-1]:o.shape[o.rank-2],l=r?a.shape[a.rank-2]:a.shape[a.rank-1],c=o.shape.slice(0,-2),p=a.shape.slice(0,-2),d=sizeFromShape(c),h=sizeFromShape(p);assert(o.rank>=2&&a.rank>=2&&o.rank===a.rank,\"Error in matMul: inputs must have the same rank of at least 2, got ranks \"+o.rank+\" and \"+a.rank+\".\"),assert(arraysEqual(c,p),\"Error in matMul: outer dimensions (\"+c+\") and (\"+p+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" must match.\"),assert(i===s,\"Error in matMul: inner shapes (\"+i+\") and (\"+s+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" and transposeA=\"+n+\" and transposeB=\"+r+\" must match.\");var f=o.shape.slice(0,-2).concat([u,l]),m=n?o.as3D(d,i,u):o.as3D(d,u,i),g=r?a.as3D(h,l,s):a.as3D(h,s,l);return ENV.engine.runKernel(function(e){return e.batchMatMul(m,g,n,r)},{$a:m,$b:g},function(e){return n||r?!n&&r?{$a:function(){return e.matMul(g.toFloat(),!1,!1)},$b:function(){return e.matMul(m.toFloat(),!0,!1)}}:n&&!r?{$a:function(){return g.toFloat().matMul(e,!1,!0)},$b:function(){return m.toFloat().matMul(e,!1,!1)}}:{$a:function(){return g.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(m.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(g.toFloat(),!1,!0)},$b:function(){return m.toFloat().matMul(e,!0,!1)}}}).reshape(f)}function outerProduct_(e,t){var n=convertToTensor(e,\"v1\",\"outerProduct\"),r=convertToTensor(t,\"v2\",\"outerProduct\");return assert(1===n.rank&&1===r.rank,\"Error in outerProduct: inputs must be rank 1, but got ranks \"+n.rank+\" and \"+r.rank+\".\"),n.as2D(-1,1).matMul(r.as2D(1,-1))}function dot_(e,t){var n=convertToTensor(e,\"t1\",\"dot\"),r=convertToTensor(t,\"t2\",\"dot\");assert(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),\"Error in dot: inputs must all be rank 1 or 2, but got ranks \"+n.rank+\" and \"+r.rank+\".\");var o=1===n.rank?n.size:n.shape[1],a=1===r.rank?r.size:r.shape[0];return assert(o===a,\"Error in dot: inner dimensions of inputs must match, but got \"+o+\" and \"+a+\".\"),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}var matMul=op({matMul_:matMul_}),dot=op({dot_:dot_}),outerProduct=op({outerProduct_:outerProduct_});function conv1d_(e,t,n,r,o,a,i){void 0===o&&(o=\"NWC\"),void 0===a&&(a=1);var s=convertToTensor(e,\"x\",\"conv1d\"),u=convertToTensor(t,\"filter\",\"conv1d\"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),assert(3===l.rank,\"Error in conv1d: input must be rank 3, but got rank \"+l.rank+\".\"),assert(3===u.rank,\"Error in conv1d: filter must be rank 3, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(r),\"Error in conv1d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\"),assert(l.shape[2]===u.shape[1],\"Error in conv1d: depth of input (\"+l.shape[2]+\") must match input depth for filter \"+u.shape[1]+\".\"),assert(eitherStridesOrDilationsAreOne(n,a),\"Error in conv1D: Either stride or dilation must be 1. Got stride \"+n+\" and dilation '\"+a+\"'\"),assert(\"NWC\"===o,\"Error in conv1d: got dataFormat of \"+o+\" but only NWC is currently supported.\");var p=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),d=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=conv2d(d,p,[1,n],r,\"NHWC\",[1,a],i);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}function conv2d_(e,t,n,r,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"conv2d\"),u=convertToTensor(t,\"filter\",\"conv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in conv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in conv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(r),\"Error in conv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\"),assert(l.shape[3]===u.shape[2],\"Error in conv2d: depth of input (\"+l.shape[3]+\") must match input depth for filter \"+u.shape[2]+\".\"),assert(eitherStridesOrDilationsAreOne(n,a),\"Error in conv2D: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+a+\"'\"),assert(\"NHWC\"===o,\"Error in conv2d: got dataFormat of \"+o+\" but only NHWC is currently supported.\");var p,d=computeConv2DInfo(l.shape,u.shape,n,a,r,i);if(1===d.filterHeight&&1===d.filterWidth&&1===d.dilationHeight&&1===d.dilationWidth&&1===d.strideHeight&&1===d.strideWidth&&\"SAME\"===d.padInfo.type){var h=l.reshape([-1,d.inChannels]),f=u.reshape([d.inChannels,d.outChannels]);p=matMul(h,f).reshape(d.outShape)}else{p=ENV.engine.runKernel(function(e){return e.conv2d(l,u,d)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '\"+a+\"'\"),{x:function(){return conv2dDerInput_(l.shape,e,u,n,r)},$filter:function(){return conv2dDerFilter_(l,e,u.shape,n,r)}}})}return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function conv2dDerInput_(e,t,n,r,o,a){assert(e.length===t.rank,\"Length of inShape (\"+e.length+\") and rank of dy (\"+t.rank+\") must match\");var i=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=[1,e[0],e[1],e[2]]);var l=i[3],c=s.shape[3];assert(4===i.length,\"Error in conv2dDerInput: inShape must be length 4, but got length \"+i.length+\".\"),assert(4===s.rank,\"Error in conv2dDerInput: dy must be rank 4, but got rank \"+s.rank),assert(4===n.rank,\"Error in conv2dDerInput: filter must be rank 4, but got rank \"+n.rank),assert(l===n.shape[2],\"Error in conv2dDerInput: depth of input (\"+l+\") must match input depth for filter \"+n.shape[2]+\".\"),assert(c===n.shape[3],\"Error in conv2dDerInput: depth of output (\"+c+\") must match output depth for filter \"+n.shape[3]+\".\"),null!=a&&assert(isInt(o),\"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var p=computeConv2DInfo(i,n.shape,r,1,o,a),d=ENV.engine.runKernel(function(e){return e.conv2dDerInput(s,n,p)},{dy4D:s});return u?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function conv2dDerFilter_(e,t,n,r,o,a){var i=e;3===e.rank&&(i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in conv2dDerFilter: input must be rank 4, but got shape \"+i.shape+\".\"),assert(4===s.rank,\"Error in conv2dDerFilter: dy must be rank 4, but got shape \"+s.shape+\".\"),assert(4===n.length,\"Error in conv2dDerFilter: filterShape must be length 4, but got \"+n+\".\"),assert(i.shape[3]===n[2],\"Error in conv2dDerFilter: depth of input \"+i.shape[3]+\") must match input depth in filter (\"+n[2]+\".\"),assert(s.shape[3]===n[3],\"Error in conv2dDerFilter: depth of dy (\"+s.shape[3]+\") must match output depth for filter (\"+n[3]+\").\"),null!=a&&assert(isInt(o),\"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var u=computeConv2DInfo(i.shape,n,r,1,o,a);return ENV.engine.runKernel(function(e){return e.conv2dDerFilter(i,s,u)},{x4D:i,dy4D:s})}function conv2dTranspose_(e,t,n,r,o,a){return conv2dDerInput_(n,convertToTensor(e,\"x\",\"conv2dTranspose\"),convertToTensor(t,\"filter\",\"conv2dTranspose\"),r,o,a)}function depthwiseConv2d_(e,t,n,r,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"depthwiseConv2d\"),u=convertToTensor(t,\"filter\",\"depthwiseConv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in depthwiseConv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in depthwiseConv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),assert(l.shape[3]===u.shape[2],\"Error in depthwiseConv2d: number of input channels (\"+l.shape[3]+\") must match the inChannels dimension in filter \"+u.shape[2]+\".\"),null==a&&(a=[1,1]),assert(eitherStridesOrDilationsAreOne(n,a),\"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+a+\"'\"),null!=i&&assert(isInt(r),\"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\");var p=computeConv2DInfo(l.shape,u.shape,n,a,r,i,!0),d=ENV.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,p)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '\"+a+\"'\"),{x:function(){return depthwiseConv2dDerInput(l.shape,e,u,p)},$filter:function(){return depthwiseConv2dDerFilter(l,e,u.shape,p)}}});return c?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function separableConv2d_(e,t,n,r,o,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i=\"NHWC\");var s=convertToTensor(e,\"x\",\"separableConv2d\"),u=convertToTensor(t,\"depthwiseFilter\",\"separableConv2d\"),l=convertToTensor(n,\"pointwiseFilter\",\"separableConv2d\"),c=s,p=!1;if(3===s.rank&&(p=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),\"NCHW\"===i)throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");assert(4===c.rank,\"Error in separableConv2d: input must be rank 4, but got rank \"+c.rank+\".\"),assert(4===u.rank,\"Error in separableConv2d: depthwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(4===l.rank,\"Error in separableConv2d: pointwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(1===l.shape[0],\"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got \"+l.shape[0]+\".\"),assert(1===l.shape[1],\"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got \"+l.shape[1]+\".\");var d=u.shape[2],h=u.shape[3];assert(l.shape[2]===d*h,\"Error in separableConv2d: the third dimension of pointwise filter must be \"+d*h+\", but got \"+l.shape[2]+\".\");var f=depthwiseConv2d(c,u,r,o,i,a),m=conv2d(f,l,1,\"valid\",i);return p?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}function parseTupleParam$1(e){return\"number\"==typeof e?[e,e]:e}function tupleValuesAreOne(e){var t=parseTupleParam$1(e),n=t[0],r=t[1];return 1===n&&1===r}function eitherStridesOrDilationsAreOne(e,t){return tupleValuesAreOne(e)||tupleValuesAreOne(t)}function depthwiseConv2dDerInput(e,t,n,r){var o=t,a=!1;3===t.rank&&(a=!0,o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var i=ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(o,n,r)},{dy4D:o});return a?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}function depthwiseConv2dDerFilter(e,t,n,r){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var a=t;return 3===a.rank&&(a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(o,a,r)},{x4D:o,dy4D:a})}var conv1d=op({conv1d_:conv1d_}),conv2d=op({conv2d_:conv2d_}),depthwiseConv2d=op({depthwiseConv2d_:depthwiseConv2d_}),separableConv2d=op({separableConv2d_:separableConv2d_}),conv2dTranspose=op({conv2dTranspose_:conv2dTranspose_});function reverse1d_(e){var t=convertToTensor(e,\"x\",\"reverse\");return assert(1===t.rank,\"Error in reverse1D: x must be rank 1 but got\\n             rank \"+t.rank+\".\"),reverse(t,0)}function reverse2d_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");return assert(2===n.rank,\"Error in reverse2D: x must be rank 2 but got\\n             rank \"+n.rank+\".\"),reverse(n,t)}function reverse3d_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");return assert(3===n.rank,\"Error in reverse3D: x must be rank 3 but got\\n             rank \"+n.rank+\".\"),reverse(n,t)}function reverse4d_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");return assert(4===n.rank,\"Error in reverse4D: x must be rank 4 but got\\n             rank \"+n.rank+\".\"),reverse(n,t)}function reverse_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");if(0===n.rank)return n.clone();var r=parseAxisParam(t,n.shape);return ENV.engine.runKernel(function(e){return e.reverse(n,r)},{$x:n},function(e){return{$x:function(){return e.reverse(r)}}}).reshapeAs(n)}var reverse=op({reverse_:reverse_}),reverse1d=op({reverse1d_:reverse1d_}),reverse2d=op({reverse2d_:reverse2d_}),reverse3d=op({reverse3d_:reverse3d_}),reverse4d=op({reverse4d_:reverse4d_});function maxPool_(e,t,n,r,o){var a=convertToTensor(e,\"x\",\"maxPool\"),i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),assert(4===i.rank,\"Error in maxPool: input must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(r),\"Error in maxPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+r+\".\");var u=computePool2DInfo(i.shape,t,n,r,o),l=ENV.engine.runKernel(function(e,t){return t(e.maxPool(i,u))},{x:i},function(e,o){var a=o[0];return{x:function(){return maxPoolBackprop(e,i,a,t,n,r)}}});return s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}function avgPool_(e,t,n,r,o){var a=convertToTensor(e,\"x\",\"avgPool\");assert(\"float32\"===a.dtype,\"The input dtype to avgPool must be float32\");var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),assert(4===i.rank,\"Error in avgPool: x must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(r),\"Error in avgPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+r+\".\");var u=computePool2DInfo(i.shape,t,n,r),l=ENV.engine.runKernel(function(e){return e.avgPool(i,u)},{x:i},function(e){return{x:function(){return avgPoolBackprop(e,i,t,n,r)}}});return l=l.cast(a.dtype),s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}function maxPoolBackprop(e,t,n,r,o,a,i){var s=convertToTensor(e,\"dy\",\"maxPoolBackprop\"),u=convertToTensor(t,\"input\",\"maxPoolBackprop\"),l=convertToTensor(n,\"output\",\"maxPoolBackprop\");assert(u.rank===s.rank,\"Rank of input (\"+u.rank+\") does not match rank of dy (\"+s.rank+\")\"),assert(4===s.rank,\"Error in maxPoolBackprop: dy must be rank 4 but got rank \"+s.rank+\".\"),assert(4===u.rank,\"Error in maxPoolBackprop: input must be rank 4 but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(a),\"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+a+\".\");var c=computePool2DInfo(u.shape,r,o,a,i);return ENV.engine.runKernel(function(e){return e.maxPoolBackprop(s,u,l,c)},{$dy:s,$input:u})}function avgPoolBackprop(e,t,n,r,o){var a=convertToTensor(e,\"dy\",\"avgPoolBackprop\"),i=convertToTensor(t,\"input\",\"avgPoolBackprop\");assert(i.rank===a.rank,\"Rank of input (\"+i.rank+\") does not match rank of dy (\"+a.rank+\")\");var s=i,u=a,l=!1;3===i.rank&&(l=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2]),u=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),assert(4===u.rank,\"Error in avgPoolBackprop: dy must be rank 4 but got rank \"+u.rank+\".\"),assert(4===s.rank,\"Error in avgPoolBackprop: input must be rank 4 but got rank \"+s.rank+\".\");var c=computePool2DInfo(s.shape,n,r,o),p=ENV.engine.runKernel(function(e){return e.avgPoolBackprop(u,s,c)},{dy4D:u,input4D:s});return l?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}var maxPool=op({maxPool_:maxPool_}),avgPool=op({avgPool_:avgPool_});function slice1d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice1d\");return assert(1===r.rank,\"slice1d expects a rank-1 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,[t],[n])}function slice2d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice2d\");return assert(2===r.rank,\"slice1d expects a rank-2 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,t,n)}function slice3d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice3d\");return assert(3===r.rank,\"slice1d expects a rank-3 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,t,n)}function slice4d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice4d\");return assert(4===r.rank,\"slice1d expects a rank-4 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,t,n)}function slice_(e,t,n){var r,o,a=convertToTensor(e,\"x\",\"slice\");if(0===a.rank)throw new Error(\"Slicing scalar is not possible\");r=\"number\"==typeof t?[t].concat(new Array(a.rank-1).fill(0)):t.length<a.rank?t.concat(new Array(a.rank-t.length).fill(0)):t.slice(),o=(o=null==n?new Array(a.rank).fill(-1):\"number\"==typeof n?[n].concat(new Array(a.rank-1).fill(-1)):n.length<a.rank?n.concat(new Array(a.rank-n.length).fill(-1)):n).map(function(e,t){return e>=0?e:(assert(-1===e,\"Bad value in size\"),a.shape[t]-r[t])}),assertParamsValid(a,r,o);var i=a.shape;return ENV.engine.runKernel(function(e){return e.slice(a,r,o)},{$x:a},function(e){for(var t=[],n=0;n<e.rank;n++)t.push([r[n],i[n]-r[n]-o[n]]);return{$x:function(){return e.pad(t)}}})}var slice=op({slice_:slice_}),slice1d=op({slice1d_:slice1d_}),slice2d=op({slice2d_:slice2d_}),slice3d=op({slice3d_:slice3d_}),slice4d=op({slice4d_:slice4d_});function logSumExp_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"logSumExp\"),o=parseAxisParam(t,r.shape),a=r.max(o,!0),i=r.sub(a).exp().sum(o).log(),s=a.reshape(i.shape).add(i);if(n){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function sum_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"sum\");\"bool\"===r.dtype&&(r=r.toInt());var o=parseAxisParam(t,r.shape);return customGrad(function(e){var t=getAxesPermutation(o,e.rank),r=o,a=e;null!=t&&(a=e.transpose(t),r=getInnerMostAxes(r.length,e.rank));var i=ENV.engine.runKernel(function(e){return e.sum(a,r)},{permutedX:a});if(n){var s=expandShapeToKeepDim(i.shape,o);i=i.reshape(s)}return{value:i,gradFunc:function(t){var n=e.shape.slice();return o.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones$1(e.shape,\"float32\"))}}})(r)}function mean_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"mean\"),o=parseAxisParam(t,r.shape),a=sizeFromShape(computeOutAndReduceShapes(r.shape,o)[1]);return customGrad(function(e){var r=scalar(a);return{value:(r.dtype===e.dtype?e:e.cast(r.dtype)).div(r).sum(t,n),gradFunc:function(t){var n=e.shape.slice();return o.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones$1(e.shape,\"float32\")).div(r)}}})(r)}function gradForMinAndMax(e,t,n,r,o){var a=t[0];return a.rank<n.rank&&(a=a.reshape(expandShapeToKeepDim(a.shape,r))),e.rank<n.rank&&(e=e.reshape(expandShapeToKeepDim(e.shape,r))),{$x:function(){var t=e.mul(n.equal(a).cast(e.dtype));return null==o?t:t.transpose(o)}}}function min_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"min\"),o=r,a=parseAxisParam(t,r.shape),i=a,s=getAxesPermutation(i,r.rank);null!=s&&(r=r.transpose(s),i=getInnerMostAxes(i.length,r.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.min(r,i))},{$x:r},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(n){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function max_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"max\"),o=r,a=parseAxisParam(t,r.shape),i=a,s=getAxesPermutation(i,r.rank);null!=s&&(r=r.transpose(s),i=getInnerMostAxes(i.length,r.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.max(r,i))},{$x:r},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(n){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function argMin_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"argMin\");null==t&&(t=0);var r=parseAxisParam(t,n.shape),o=getAxesPermutation(r,n.rank);null!=o&&(n=n.transpose(o),r=getInnerMostAxes(r.length,n.rank));return ENV.engine.runKernel(function(e){return e.argMin(n,r[0])},{$x:n},function(e){return{$x:function(){return zerosLike(n)}}})}function argMax_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"argMax\");null==t&&(t=0);var r=parseAxisParam(t,n.shape),o=getAxesPermutation(r,n.rank);null!=o&&(n=n.transpose(o),r=getInnerMostAxes(r.length,n.rank));return ENV.engine.runKernel(function(e){return e.argMax(n,r[0])},{$x:n},function(e){return{$x:function(){return zerosLike(n)}}})}function all_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"all\",\"bool\");assert(\"bool\"===r.dtype,\"Error Tensor must be of type bool. Got: \"+r.dtype);var o=parseAxisParam(t,r.shape),a=o,i=getAxesPermutation(a,r.rank);null!=i&&(r=r.transpose(i),a=getInnerMostAxes(a.length,r.rank));var s=ENV.engine.runKernel(function(e){return e.all(r,a)},{$x:r});if(n){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function any_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"any\",\"bool\");assert(\"bool\"===r.dtype,\"Error Tensor must be of type bool. Got: \"+r.dtype);var o=parseAxisParam(t,r.shape),a=o,i=getAxesPermutation(a,r.rank);null!=i&&(r=r.transpose(i),a=getInnerMostAxes(a.length,r.rank));var s=ENV.engine.runKernel(function(e){return e.any(r,a)},{$x:r});if(n){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function moments_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=parseAxisParam(t,(e=convertToTensor(e,\"x\",\"moments\")).shape),o=e.mean(r,n),a=o.shape;return n||(a=expandShapeToKeepDim(o.shape,r)),{mean:o,variance:e.toFloat().sub(o.reshape(a)).square().mean(r,n)}}var all=op({all_:all_}),any=op({any_:any_}),argMax=op({argMax_:argMax_}),argMin=op({argMin_:argMin_}),logSumExp=op({logSumExp_:logSumExp_}),max=op({max_:max_}),mean=op({mean_:mean_}),min=op({min_:min_}),moments=op({moments_:moments_}),sum=op({sum_:sum_});function notEqual_(e,t){var n=convertToTensor(e,\"a\",\"notEqual\"),r=convertToTensor(t,\"b\",\"notEqual\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.notEqual(n,r)},{$a:n,$b:r})}function notEqualStrict_(e,t){var n=convertToTensor(e,\"a\",\"notEqualStrict\"),r=convertToTensor(t,\"b\",\"notEqualStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in notEqualStrict: \"),n.notEqual(r)}function less_(e,t){var n=convertToTensor(e,\"a\",\"less\"),r=convertToTensor(t,\"b\",\"less\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.less(n,r)},{$a:n,$b:r})}function lessStrict_(e,t){var n=convertToTensor(e,\"a\",\"lessStrict\"),r=convertToTensor(t,\"b\",\"lessStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in lessStrict: \"),n.less(r)}function equal_(e,t){var n=convertToTensor(e,\"a\",\"equal\"),r=convertToTensor(t,\"b\",\"equal\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.equal(n,r)},{$a:n,$b:r})}function equalStrict_(e,t){var n=convertToTensor(e,\"a\",\"equalStrict\"),r=convertToTensor(t,\"b\",\"equalStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in equalStrict: \"),n.equal(r)}function lessEqual_(e,t){var n=convertToTensor(e,\"a\",\"lessEqual\"),r=convertToTensor(t,\"b\",\"lessEqual\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.lessEqual(n,r)},{$a:n,$b:r})}function lessEqualStrict_(e,t){var n=convertToTensor(e,\"a\",\"lessEqualStrict\"),r=convertToTensor(t,\"b\",\"lessEqualStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in lessEqualStrict: \"),n.lessEqual(r)}function greater_(e,t){var n=convertToTensor(e,\"a\",\"greater\"),r=convertToTensor(t,\"b\",\"greater\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.greater(n,r)},{$a:n,$b:r})}function greaterStrict_(e,t){var n=convertToTensor(e,\"a\",\"greaterStrict\"),r=convertToTensor(t,\"b\",\"greaterStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in greaterStrict: \"),n.greater(r)}function greaterEqual_(e,t){var n=convertToTensor(e,\"a\",\"greaterEqual\"),r=convertToTensor(t,\"b\",\"greaterEqual\");assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.greaterEqual(n,r)},{$a:n,$b:r},function(e){return{$a:function(){return zerosLike(n)},$b:function(){return zerosLike(r)}}})}function greaterEqualStrict_(e,t){var n=convertToTensor(e,\"a\",\"greaterEqualStrict\"),r=convertToTensor(t,\"b\",\"greaterEqualStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in greaterEqualStrict: \"),n.greaterEqual(r)}var equal=op({equal_:equal_}),equalStrict=op({equalStrict_:equalStrict_}),greater=op({greater_:greater_}),greaterEqual=op({greaterEqual_:greaterEqual_}),greaterEqualStrict=op({greaterEqualStrict_:greaterEqualStrict_}),greaterStrict=op({greaterStrict_:greaterStrict_}),less=op({less_:less_}),lessEqual=op({lessEqual_:lessEqual_}),lessEqualStrict=op({lessEqualStrict_:lessEqualStrict_}),lessStrict=op({lessStrict_:lessStrict_}),notEqual=op({notEqual_:notEqual_}),notEqualStrict=op({notEqualStrict_:notEqualStrict_});function add_(e,t){var n=convertToTensor(e,\"a\",\"add\"),r=convertToTensor(t,\"b\",\"add\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.add(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.reshape(n.shape)},$b:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.reshape(r.shape)}}})}function addN_(e){assert(Array.isArray(e),function(){return\"The argument passed to tf.addN() must be a list of tensors\"}),assert(e.length>=1,function(){return\"Must pass at least one tensor to tf.addN(), but got \"+e.length});var t=e.map(function(e,t){return convertToTensor(e,\"tensors\"+t,\"addN\")}),n=t[0];t.forEach(function(e){if(e.dtype!==n.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(function(e){if(!arraysEqual(e.shape,n.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});var r=t;return ENV.engine.runKernel(function(e){return e.addN(t)},r,function(e){var n={};return t.forEach(function(t,r){n[r]=function(){return e.clone()}}),n})}function addStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in addStrict: \"),e.add(t)}function sub_(e,t){var n=convertToTensor(e,\"a\",\"sub\"),r=convertToTensor(t,\"b\",\"sub\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.subtract(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.reshape(n.shape)},$b:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.neg().reshape(r.shape)}}})}function subStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in subStrict: \"),e.sub(t)}function pow_(e,t){var n=convertToTensor(e,\"base\",\"pow\"),r=convertToTensor(t,\"exp\",\"pow\"),o=assertAndGetBroadcastShape(n.shape,r.shape);e=n.cast(upcastType(n.dtype,r.dtype)),t=r.cast(upcastType(n.dtype,r.dtype));return ENV.engine.runKernel(function(e,t){return t(e.pow(n,r))},{$base:n,$exp:r},function(e,t){var a=t[0];return{$base:function(){var t=e.mul(r.toFloat().mul(a.div(n))),i=getReductionAxes(n.shape,o);return i.length>0&&(t=t.sum(i)),t.reshape(n.shape)},$exp:function(){var t=e.mul(a.mul(n.log()).toFloat()),i=getReductionAxes(r.shape,o);return i.length>0&&(t=t.sum(i)),t.reshape(r.shape)}}})}function powStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in powStrict: \"),e.pow(t)}function mul_(e,t){var n=convertToTensor(e,\"a\",\"mul\"),r=convertToTensor(t,\"b\",\"mul\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.multiply(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e.mul(r.toFloat()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t},$b:function(){var t=e.mul(n.toFloat()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t}}})}function mulStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in multiplyStrict: \"),e.mul(t)}function div_(e,t){var n,r=convertToTensor(e,\"a\",\"div\"),o=convertToTensor(t,\"b\",\"div\");if(assertTypesMatch(r,o),\"int32\"===r.dtype&&\"int32\"===o.dtype)return floorDiv(r,o);n=function(e){return e.realDivide(r,o)};var a=assertAndGetBroadcastShape(r.shape,o.shape);return ENV.engine.runKernel(n,{$a:r,$b:o},function(e){return{$a:function(){var t=e.div(o.toFloat()),n=getReductionAxes(r.shape,a);return n.length>0?t.sum(n).reshape(r.shape):t},$b:function(){var t=e.mul(r.toFloat()),n=getReductionAxes(o.shape,a);n.length>0&&(t=t.sum(n).reshape(o.shape));var i=o.square();return t.div(i.toFloat()).neg()}}})}function floorDiv_(e,t){var n=convertToTensor(e,\"a\",\"floorDiv\"),r=convertToTensor(t,\"b\",\"floorDiv\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.floorDiv(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e.div(r.toFloat()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t},$b:function(){var t=e.mul(n.toFloat()),a=getReductionAxes(r.shape,o);a.length>0&&(t=t.sum(a).reshape(r.shape));var i=r.square();return t.div(i.toFloat()).neg()}}})}function divStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in divideStrict: \"),e.div(t)}function mod_(e,t){var n=convertToTensor(e,\"a\",\"mod\"),r=convertToTensor(t,\"b\",\"mod\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.mod(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=getReductionAxes(n.shape,o);return t.length>0?e.sum(t).reshape(n.shape):e},$b:function(){var t=e.mul(n.div(r).floor().neg()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t}}})}function modStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in modStrict: \"),e.mod(t)}function minimum_(e,t){var n=convertToTensor(e,\"a\",\"minimum\"),r=convertToTensor(t,\"b\",\"minimum\");assertTypesMatch(n,r),\"bool\"===n.dtype&&(n=n.toInt()),\"bool\"===r.dtype&&(r=r.toInt()),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.minimum(n,r)},{$a:n,$b:r},function(e){return{$a:function(){return e.mul(n.lessEqual(r).toFloat())},$b:function(){return e.mul(n.greater(r).toFloat())}}})}function minimumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in minimumStrict: \"),e.minimum(t)}function maximum_(e,t){var n=convertToTensor(e,\"a\",\"maximum\"),r=convertToTensor(t,\"b\",\"maximum\");assertTypesMatch(n,r),\"bool\"===n.dtype&&(n=n.toInt()),\"bool\"===r.dtype&&(r=r.toInt()),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.maximum(n,r)},{$a:n,$b:r},function(e){return{$a:function(){return e.mul(n.greaterEqual(r).toFloat())},$b:function(){return e.mul(n.less(r).toFloat())}}})}function maximumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in maximumStrict: \"),e.maximum(t)}function squaredDifference_(e,t){var n=convertToTensor(e,\"a\",\"squaredDifference\"),r=convertToTensor(t,\"b\",\"squaredDifference\");assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.squaredDifference(n,r)},{$a:n,$b:r},function(e){var t=scalar(2);return{$a:function(){return e.mul(n.sub(r).mul(t))},$b:function(){return e.mul(r.sub(n).mul(t))}}})}function squaredDifferenceStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in squaredDifferenceStrict: \"),e.squaredDifference(t)}function atan2_(e,t){var n=convertToTensor(e,\"a\",\"atan2\"),r=convertToTensor(t,\"b\",\"atan2\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.atan2(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=add(n.square(),r.square()),a=e.mul(r.div(t)),i=getReductionAxes(n.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(n.shape)},$b:function(){var t=add(n.square(),r.square()),a=neg(e.mul(n.div(t))),i=getReductionAxes(r.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(r.shape)}}})}var add=op({add_:add_}),addN=op({addN_:addN_}),addStrict=op({addStrict_:addStrict_}),atan2=op({atan2_:atan2_}),div=op({div_:div_}),divStrict=op({divStrict_:divStrict_}),floorDiv=op({floorDiv_:floorDiv_}),maximum=op({maximum_:maximum_}),maximumStrict=op({maximumStrict_:maximumStrict_}),minimum=op({minimum_:minimum_}),minimumStrict=op({minimumStrict_:minimumStrict_}),mod=op({mod_:mod_}),modStrict=op({modStrict_:modStrict_}),mul=op({mul_:mul_}),mulStrict=op({mulStrict_:mulStrict_}),pow=op({pow_:pow_}),powStrict=op({powStrict_:powStrict_}),squaredDifference=op({squaredDifference_:squaredDifference_}),squaredDifferenceStrict=op({squaredDifferenceStrict_:squaredDifferenceStrict_}),sub=op({sub_:sub_}),subStrict=op({subStrict_:subStrict_});function logicalNot_(e){var t=convertToTensor(e,\"x\",\"logicalNot\",\"bool\");return assert(\"bool\"===t.dtype,\"Error Array must be of type bool.\"),ENV.engine.runKernel(function(e){return e.logicalNot(t)},{$x:t})}function logicalAnd_(e,t){var n=convertToTensor(e,\"a\",\"logicalAnd\",\"bool\"),r=convertToTensor(t,\"b\",\"logicalAnd\",\"bool\");return assert(\"bool\"===n.dtype&&\"bool\"===r.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.logicalAnd(n,r)},{$a:n,$b:r})}function logicalOr_(e,t){var n=convertToTensor(e,\"a\",\"logicalOr\",\"bool\"),r=convertToTensor(t,\"b\",\"logicalOr\",\"bool\");return assert(\"bool\"===n.dtype&&\"bool\"===r.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.logicalOr(n,r)},{$a:n,$b:r})}function logicalXor_(e,t){var n=convertToTensor(e,\"a\",\"logicalXor\",\"bool\"),r=convertToTensor(t,\"b\",\"logicalXor\",\"bool\");return assert(\"bool\"===n.dtype&&\"bool\"===r.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(n.shape,r.shape),logicalOr(e,t).logicalAnd(logicalAnd(e,t).logicalNot())}function where_(e,t,n){var r=convertToTensor(t,\"a\",\"where\"),o=convertToTensor(n,\"b\",\"where\"),a=convertToTensor(e,\"condition\",\"where\",\"bool\");assert(\"bool\"===a.dtype,\"Error Condition must be of type bool.\"),assertShapesMatch(r.shape,o.shape,\"Error in where: \"),1===a.rank?assert(a.shape[0]===r.shape[0],\"The first dimension of `a` must match the size of `condition`.\"):assertShapesMatch(a.shape,o.shape,\"Error in where: \");return ENV.engine.runKernel(function(e){return e.select(a,r,o)},{$condition:a,$a:r,$b:o},function(e){return{$condition:function(){return zerosLike(a)},$a:function(){return e.mul(a.cast(r.dtype))},$b:function(){return e.mul(a.logicalNot().cast(o.dtype))}}})}function whereAsync_(e){return __awaiter(this,void 0,void 0,function(){var t,n,r;return __generator(this,function(o){switch(o.label){case 0:return assert(\"bool\"===(t=convertToTensor(e,\"condition\",\"where\",\"bool\")).dtype,\"Condition must be of type bool.\"),[4,t.data()];case 1:return n=o.sent(),r=whereImpl(t.shape,n),e!==t&&t.dispose(),[2,r]}})})}var logicalAnd=op({logicalAnd_:logicalAnd_}),logicalNot=op({logicalNot_:logicalNot_}),logicalOr=op({logicalOr_:logicalOr_}),logicalXor=op({logicalXor_:logicalXor_}),where=op({where_:where_}),whereAsync=whereAsync_;function relu_(e){var t=convertToTensor(e,\"x\",\"relu\");if(\"bool\"===t.dtype)return t.toInt();return ENV.engine.runKernel(function(e){return e.relu(t)},{$x:t},function(e){var n=t.step();return{$x:function(){return e.mulStrict(n.toFloat())}}})}function elu_(e){var t=convertToTensor(e,\"x\",\"elu\");return ENV.engine.runKernel(function(e,n){return n(e.elu(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return ENV.engine.runKernel(function(t){return t.eluDer(e,n)},{dy:e,y:n})}}})}function selu_(e){var t=convertToTensor(e,\"x\",\"selu\");return ENV.engine.runKernel(function(e){return e.selu(t)},{$x:t},function(e){return{$x:function(){var n=t.greater(scalar(0)),r=scalar(SELU_SCALEALPHA),o=scalar(SELU_SCALE),a=e.mul(o),i=e.mul(r).mul(t.toFloat().exp());return where(n,a,i)}}})}function leakyRelu_(e,t){void 0===t&&(t=.2);var n=convertToTensor(e,\"x\",\"leakyRelu\");return maximum(scalar(t).mul(n),n)}function prelu_(e,t){var n=convertToTensor(e,\"x\",\"prelu\"),r=convertToTensor(t,\"alpha\",\"prelu\"),o=scalar(0);return maximum(o,n).add(r.mul(minimum(o,n)))}var elu=op({elu_:elu_}),leakyRelu=op({leakyRelu_:leakyRelu_}),prelu=op({prelu_:prelu_}),relu=op({relu_:relu_}),selu=op({selu_:selu_});function transpose_(e,t){var n=convertToTensor(e,\"x\",\"transpose\");if(null==t&&(t=n.shape.map(function(e,t){return t}).reverse()),assert(n.rank===t.length,\"Error in transpose: rank of input \"+n.rank+\" must match length of perm \"+t+\".\"),t.forEach(function(e){assert(e>=0&&e<n.rank,\"All entries in 'perm' must be between 0 and \"+(n.rank-1)+\" but got \"+t)}),n.rank<=1)return n.clone();return ENV.engine.runKernel(function(e){return e.transpose(n,t)},{$x:n},function(e){var n=getUndoAxesPermutation(t);return{$x:function(){return e.transpose(n)}}})}var transpose=op({transpose_:transpose_});function localResponseNormalization_(e,t,n,r,o){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===o&&(o=.5);var a=convertToTensor(e,\"x\",\"localResponseNormalization\");assert(4===a.rank||3===a.rank,\"Error in localResponseNormalization: x must be rank 3 or 4 but got\\n               rank \"+a.rank+\".\"),assert(isInt(t),\"Error in localResponseNormalization: depthRadius must be an integer\\n                     but got depthRadius \"+t+\".\");var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=ENV.engine.runKernel(function(e,a){return a(e.localResponseNormalization4D(i,t,n,r,o))},{x4D:i},function(e,a){var s=a[0];return{x4D:function(){return ENV.engine.runKernel(function(a){return a.LRNGrad(e,i,s,t,n,r,o)},{})}}});return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}var localResponseNormalization=op({localResponseNormalization_:localResponseNormalization_});function norm_(e,t,n,r){void 0===t&&(t=\"euclidean\"),void 0===n&&(n=null),void 0===r&&(r=!1);var o=normImpl(e=convertToTensor(e,\"x\",\"norm\"),t,n),a=o.shape;if(r){var i=parseAxisParam(n,e.shape);a=expandShapeToKeepDim(o.shape,i)}return o.reshape(a)}function normImpl(e,t,n){if(void 0===n&&(n=null),0===e.rank)return e.abs();if(1!==e.rank&&null===n)return normImpl(e.reshape([-1]),t,n);if(1===e.rank||\"number\"==typeof n||n instanceof Array&&1===n.length){if(1===t)return e.abs().sum(n);if(t===1/0)return e.abs().max(n);if(t===-1/0)return e.abs().min(n);if(\"euclidean\"===t||2===t)return e.abs().pow(scalar(2,\"int32\")).sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}if(n instanceof Array&&2===n.length){if(1===t)return e.abs().sum(n[0]).max(n[1]-1);if(t===1/0)return e.abs().sum(n[1]).max(n[0]);if(t===-1/0)return e.abs().sum(n[1]).min(n[0]);if(\"fro\"===t||\"euclidean\"===t)return e.square().sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}throw new Error(\"Error in norm: invalid axis: \"+n)}var norm=op({norm_:norm_});function unsortedSegmentSum_(e,t,n){var r=convertToTensor(e,\"x\",\"unsortedSegmentSum\"),o=convertToTensor(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");assert(\"int32\"===o.dtype,\"segmentIds must be of dtype `int32`\"),assert(isInt(n),\"numSegments must be of dtype int\");return ENV.engine.runKernel(function(e){return e.unsortedSegmentSum(r,o,n)},{$x:r},function(e){return{$x:function(){return gatherDropNegatives(e,o)}}})}function gather_(e,t,n){void 0===n&&(n=0);var r=convertToTensor(e,\"x\",\"gather\"),o=convertToTensor(t,\"indices\",\"gather\",\"int32\");assert(\"int32\"===o.dtype,\"Indices must be of dtype `int32`\"),n=parseAxisParam(n,r.shape)[0];return ENV.engine.runKernel(function(e){return e.gather(r,o,n)},{$x:r},function(e){return{$x:function(){if(0===n)return unsortedSegmentSum(e,o,r.shape[n]);var t=r.shape,a=o.size,i=t.slice(0,n),s=i.length,u=t.slice(n,t.length).slice(1),l=u.length,c=arrayRange(0,s),p=arrayRange(s+1,s+1+l),d=arrayConcat([i,[a],u]),h=e.reshape(d),f=o.reshape([a]),m=arrayConcat([[s],c,p]),g=h.transpose(m),v=unsortedSegmentSum(g,f,r.shape[n]),x=getUndoAxesPermutation(m);return v=v.transpose(x)}}})}function arrayRange(e,t){for(var n=[],r=e;r<t;++r)n.push(r);return n}function arrayConcat(e){for(var t=[],n=0;n<e.length;++n)for(var r=0;r<e[n].length;++r)t.push(e[n][r]);return t}function gatherDropNegatives(e,t){for(var n=maximum(t,zerosLike(t)),r=gather(e,n),o=greaterEqual(t,scalar(0,\"int32\")),a=r.rank-o.rank,i=0;i<a;++i)o=expandDims(o,i+1);o=logicalAnd(o,ones$1(r.shape,\"bool\"));var s=zerosLike(r);return where(o,r,s)}var gather=op({gather_:gather_}),unsortedSegmentSum=op({unsortedSegmentSum_:unsortedSegmentSum_});function multiRNNCell_(e,t,n,r){for(var o=convertToTensor(t,\"data\",\"multiRNNCell\"),a=convertToTensorArray(n,\"c\",\"multiRNNCell\"),i=convertToTensorArray(r,\"h\",\"multiRNNCell\"),s=o,u=[],l=0;l<e.length;l++){var c=e[l](s,a[l],i[l]);u.push(c[0]),u.push(c[1]),s=c[1]}var p=[],d=[];for(l=0;l<u.length;l+=2)p.push(u[l]),d.push(u[l+1]);return[p,d]}function basicLSTMCell_(e,t,n,r,o,a){var i=convertToTensor(e,\"forgetBias\",\"basicLSTMCell\"),s=convertToTensor(t,\"lstmKernel\",\"basicLSTMCell\"),u=convertToTensor(n,\"lstmBias\",\"basicLSTMCell\"),l=convertToTensor(r,\"data\",\"basicLSTMCell\"),c=convertToTensor(o,\"c\",\"basicLSTMCell\"),p=convertToTensor(a,\"h\",\"basicLSTMCell\"),d=l.concat(p,1).matMul(s).add(u),h=d.shape[0],f=d.shape[1]/4,m=[h,f],g=d.slice([0,0],m),v=d.slice([0,f],m),x=d.slice([0,2*f],m),y=d.slice([0,3*f],m),T=g.sigmoid().mulStrict(v.tanh()).addStrict(c.mulStrict(i.add(x).sigmoid()));return[T,T.tanh().mulStrict(y.sigmoid())]}var basicLSTMCell=op({basicLSTMCell_:basicLSTMCell_}),multiRNNCell=op({multiRNNCell_:multiRNNCell_});function movingAverage_(e,t,n,r,o){void 0===o&&(o=!0);var a=convertToTensor(e,\"v\",\"movingAverage\"),i=convertToTensor(t,\"x\",\"movingAverage\"),s=convertToTensor(n,\"decay\",\"movingAverage\");assertTypesMatch(a,i),assert(arraysEqual(a.shape,i.shape),\"Shape mismatch in v and x\");var u=scalar(1),l=u.sub(s),c=i.sub(a).mul(l);if(o){assert(null!=r,\"When using zeroDebias: true, step is required.\");var p=convertToTensor(r,\"step\",\"movingAverage\");c=c.div(u.sub(pow(s,p)))}return a.add(c)}var movingAverage=op({movingAverage_:movingAverage_});function stridedSlice_(e,t,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");var l=convertToTensor(e,\"x\",\"stridedSlice\");return ENV.engine.runKernel(function(e){return e.stridedSlice(l,t,n,r,o,a,i,s,u)},{$x:l})}var stridedSlice=op({stridedSlice_:stridedSlice_});function topk_(e,t,n){void 0===t&&(t=1),void 0===n&&(n=!0);var r=convertToTensor(e,\"x\",\"topk\");if(0===r.rank)throw new Error(\"topk() expects the input to be of rank 1 or higher\");var o=r.shape[r.shape.length-1];if(t>o)throw new Error(\"'k' passed to topk() must be <= the last dimension (\"+o+\") but got \"+t);var a=ENV.engine.runKernel(function(e){return e.topk(r,t,n)},{$x:r});return{values:a[0],indices:a[1]}}var Reduction,topk=op({topk_:topk_});function computeWeightedLoss_(e,t,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var r=convertToTensor(e,\"losses\",\"computeWeightedLoss\"),o=null;null!=t&&(o=convertToTensor(t,\"weights\",\"computeWeightedLoss\"));var a=null==o?r:r.mul(o);if(n===Reduction.NONE)return a;if(n===Reduction.SUM)return a.sum();if(n===Reduction.MEAN){if(null==o)return a.mean();var i=sizeFromShape(r.shape)/sizeFromShape(o.shape),s=a.sum().div(o.sum());return i>1?s.div(scalar(i)):s}if(n===Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==o)return a.sum().div(scalar(r.size));var u=o.mul(ones$1(r.shape)).notEqual(scalar(0)).sum().toFloat();return a.sum().div(u)}throw Error(\"Unknown reduction: \"+n)}function absoluteDifference_(e,t,n,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"absoluteDifference\"),a=convertToTensor(t,\"predictions\",\"absoluteDifference\"),i=null;null!=n&&(i=convertToTensor(n,\"weights\",\"absoluteDifference\")),assertShapesMatch(o.shape,a.shape,\"Error in absoluteDifference: \");var s=o.sub(a).abs();return computeWeightedLoss(s,i,r)}function meanSquaredError_(e,t,n,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"meanSquaredError\"),a=convertToTensor(t,\"predictions\",\"meanSquaredError\"),i=null;null!=n&&(i=convertToTensor(n,\"weights\",\"meanSquaredError\")),assertShapesMatch(o.shape,a.shape,\"Error in meanSquaredError: \");var s=o.squaredDifference(a);return computeWeightedLoss(s,i,r)}function cosineDistance_(e,t,n,r,o){void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"cosineDistance\"),i=convertToTensor(t,\"predictions\",\"cosineDistance\"),s=null;null!=r&&(s=convertToTensor(r,\"weights\",\"cosineDistance\")),assertShapesMatch(a.shape,i.shape,\"Error in cosineDistance: \");var u=scalar(1).sub(a.mul(i).sum(n,!0));return computeWeightedLoss(u,s,o)}function hingeLoss_(e,t,n,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"hingeLoss\"),a=convertToTensor(t,\"predictions\",\"hingeLoss\"),i=null;null!=n&&(i=convertToTensor(n,\"weights\",\"hingeLoss\")),assertShapesMatch(o.shape,a.shape,\"Error in hingeLoss: \");var s=scalar(1);o=scalar(2).mul(o).sub(s);var u=s.sub(o.mul(a)).relu();return computeWeightedLoss(u,i,r)}function logLoss_(e,t,n,r,o){void 0===r&&(r=1e-7),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"logLoss\"),i=convertToTensor(t,\"predictions\",\"logLoss\"),s=null;null!=n&&(s=convertToTensor(n,\"weights\",\"logLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in logLoss: \");var u=scalar(1),l=scalar(r),c=a.mul(i.add(l).log()).neg().sub(u.sub(a).mul(u.sub(i).add(l).log()));return computeWeightedLoss(c,s,o)}function sigmoidCrossEntropyWithLogits_(e,t){var n=convertToTensor(e,\"labels\",\"sigmoidCrossEntropyWithLogits\"),r=convertToTensor(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");assertShapesMatch(n.shape,r.shape,\"Error in sigmoidCrossEntropyWithLogits: \");var o=r.relu(),a=r.mul(n),i=r.abs().neg().exp().log1p();return o.sub(a).add(i)}function sigmoidCrossEntropy_(e,t,n,r,o){void 0===r&&(r=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=convertToTensor(t,\"logits\",\"sigmoidCrossEntropy\"),s=null;if(null!=n&&(s=convertToTensor(n,\"weights\",\"sigmoidCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),r>0){var u=scalar(r),l=scalar(1),c=scalar(.5);a=a.mul(l.sub(u)).add(c.mul(u))}var p=sigmoidCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}function huberLoss_(e,t,n,r,o){void 0===r&&(r=1),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"huberLoss\"),i=convertToTensor(t,\"predictions\",\"huberLoss\"),s=null;null!=n&&(s=convertToTensor(n,\"weights\",\"huberLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in huberLoss: \");var u=scalar(r),l=i.sub(a).abs(),c=minimum(l,u),p=l.sub(c),d=scalar(.5).mul(c.square()).add(u.mul(p));return computeWeightedLoss(d,s,o)}function softmaxCrossEntropyWithLogits_(e,t,n){if(void 0===n&&(n=-1),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error(\"Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank \"+t.rank+\" and dim was \"+n);return customGrad(function(e,t){var r=t.logSumExp([n],!0),o=t.toFloat().sub(r);return{value:o.mul(e).neg().sum([n]),gradFunc:function(t){var r=expandShapeToKeepDim(t.shape,[n]);return[t.reshape(r).mul(e.toFloat().sub(o.exp())),t.reshape(r).mul(o.exp().sub(e.toFloat()))]}}})(e,t)}function softmaxCrossEntropy_(e,t,n,r,o){void 0===r&&(r=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"onehotLabels\",\"softmaxCrossEntropy\"),i=convertToTensor(t,\"logits\",\"softmaxCrossEntropy\"),s=null;if(null!=n&&(s=convertToTensor(n,\"weights\",\"softmaxCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in softmaxCrossEntropy: \"),r>0){var u=scalar(r),l=scalar(1),c=scalar(a.shape[1]);a=a.mul(l.sub(u)).add(u.div(c))}var p=softmaxCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}!function(e){e[e.NONE=0]=\"NONE\",e[e.MEAN=1]=\"MEAN\",e[e.SUM=2]=\"SUM\",e[e.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"}(Reduction||(Reduction={}));var absoluteDifference=op({absoluteDifference_:absoluteDifference_}),computeWeightedLoss=op({computeWeightedLoss_:computeWeightedLoss_}),cosineDistance=op({cosineDistance_:cosineDistance_}),hingeLoss=op({hingeLoss_:hingeLoss_}),huberLoss=op({huberLoss_:huberLoss_}),logLoss=op({logLoss_:logLoss_}),meanSquaredError=op({meanSquaredError_:meanSquaredError_}),sigmoidCrossEntropy=op({sigmoidCrossEntropy_:sigmoidCrossEntropy_}),softmaxCrossEntropy=op({softmaxCrossEntropy_:softmaxCrossEntropy_}),loss_ops=Object.freeze({get Reduction(){return Reduction},absoluteDifference:absoluteDifference,computeWeightedLoss:computeWeightedLoss,cosineDistance:cosineDistance,hingeLoss:hingeLoss,huberLoss:huberLoss,logLoss:logLoss,meanSquaredError:meanSquaredError,sigmoidCrossEntropy:sigmoidCrossEntropy,softmaxCrossEntropy:softmaxCrossEntropy});function gramSchmidt_(e){var t;if(Array.isArray(e)){t=!1,assert(null!=e&&e.length>0,\"Gram-Schmidt process: input must not be null, undefined, or empty\");for(var n=e[0].shape[0],r=1;r<e.length;++r)assert(e[r].shape[0]===n,\"Gram-Schmidt: Non-unique lengths found in the input vectors: (\"+e[r].shape[0]+\" vs. \"+n+\")\")}else t=!0,e=split$1(e,e.shape[0],0).map(function(e){return squeeze(e,[0])});assert(e.length<=e[0].shape[0],\"Gram-Schmidt: Number of vectors (\"+e.length+\") exceeds number of dimensions (\"+e[0].shape[0]+\").\");var o=[],a=e,i=function(e){o.push(ENV.engine.tidy(function(){var t=a[e];if(e>0)for(var n=0;n<e;++n){var r=sum(o[n].mulStrict(t)).mul(o[n]);t=t.sub(r)}return t.div(norm(t,\"euclidean\"))}))};for(r=0;r<e.length;++r)i(r);return t?stack(o,0):o}function qr_(e,t){if(void 0===t&&(t=!1),e.rank<2)throw new Error(\"qr() requires input tensor to have a rank >= 2, but got rank \"+e.rank);if(2===e.rank)return qr2d(e,t);var n=e.shape.slice(0,e.shape.length-2).reduce(function(e,t){return e*t}),r=[],o=[];return unstack(e.reshape([n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0).forEach(function(e){var n=qr2d(e,t),a=n[0],i=n[1];r.push(a),o.push(i)}),[stack(r,0).reshape(e.shape),stack(o,0).reshape(e.shape)]}function qr2d(e,t){return void 0===t&&(t=!1),ENV.engine.tidy(function(){if(2!==e.shape.length)throw new Error(\"qr2d() requires a 2D Tensor, but got a \"+e.shape.length+\"D Tensor.\");for(var n=e.shape[0],r=e.shape[1],o=eye(n),a=e.clone(),i=tensor2d([[1]],[1,1]),s=i.clone(),u=n>=r?r:n,l=function(e){var t,u=a,l=s,c=o;t=ENV.engine.tidy(function(){var t=a.slice([e,e],[n-e,1]),u=t.norm(),l=a.slice([e,e],[1,1]),c=l.sign().neg(),p=l.sub(c.mul(u)),d=t.div(p);s=1===d.shape[0]?i.clone():i.concat(d.slice([1,0],[d.shape[0]-1,d.shape[1]]),0);var h=c.matMul(p).div(u).neg(),f=a.slice([e,0],[n-e,r]),m=h.mul(s);a=0===e?f.sub(m.matMul(s.transpose().matMul(f))):a.slice([0,0],[e,r]).concat(f.sub(m.matMul(s.transpose().matMul(f))),0);var g=o.slice([0,e],[n,o.shape[1]-e]);return o=0===e?g.sub(g.matMul(s).matMul(m.transpose())):o.slice([0,0],[n,e]).concat(g.sub(g.matMul(s).matMul(m.transpose())),1),[s,a,o]}),s=t[0],a=t[1],o=t[2],dispose([u,l,c])},c=0;c<u;++c)l(c);return!t&&n>r&&(o=o.slice([0,0],[n,r]),a=a.slice([0,0],[r,r])),[o,a]})}var gramSchmidt=op({gramSchmidt_:gramSchmidt_}),qr=op({qr_:qr_}),linalg_ops=Object.freeze({gramSchmidt:gramSchmidt,qr:qr});function resizeBilinear_(e,t,n){void 0===n&&(n=!1);var r=convertToTensor(e,\"images\",\"resizeBilinear\");assert(3===r.rank||4===r.rank,\"Error in resizeBilinear: x must be rank 3 or 4, but got rank \"+r.rank+\".\"),assert(2===t.length,\"Error in resizeBilinear: new shape must 2D, but got shape \"+t+\".\");var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeBilinear(o,i,s,n)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeBilinearBackprop(e,o,n)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function resizeNearestNeighbor_(e,t,n){void 0===n&&(n=!1);var r=convertToTensor(e,\"images\",\"resizeNearestNeighbor\");assert(3===r.rank||4===r.rank,\"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank \"+r.rank+\".\"),assert(2===t.length,\"Error in resizeNearestNeighbor: new shape must 2D, but got shape \"+t+\".\"),assert(\"float32\"===r.dtype||\"int32\"===r.dtype,\"`images` must have `int32` or `float32` as dtype\");var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeNearestNeighbor(o,i,s,n)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeNearestNeighborBackprop(e,o,n)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function nonMaxSuppression_(e,t,n,r,o){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=convertToTensor(e,\"boxes\",\"nonMaxSuppression\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppression\"),s=nonMaxSuppSanityCheck(a,i,n,r,o);return n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold,ENV.engine.runKernel(function(e){return e.nonMaxSuppression(a,i,n,r,o)},{$boxes:a})}function nonMaxSuppressionAsync_(e,t,n,r,o){return void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),__awaiter(this,void 0,void 0,function(){var a,i,s,u,l,c;return __generator(this,function(p){switch(p.label){case 0:return a=convertToTensor(e,\"boxes\",\"nonMaxSuppressionAsync\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppressionAsync\"),s=nonMaxSuppSanityCheck(a,i,n,r,o),n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold,[4,a.data()];case 1:return u=p.sent(),[4,i.data()];case 2:return l=p.sent(),c=nonMaxSuppressionImpl(u,l,n,r,o),a!==e&&a.dispose(),i!==t&&i.dispose(),[2,c]}})})}function nonMaxSuppSanityCheck(e,t,n,r,o){null==r&&(r=.5),null==o&&(o=Number.NEGATIVE_INFINITY);var a=e.shape[0];return n=Math.min(n,a),assert(0<=r&&r<=1,\"iouThreshold must be in [0, 1], but was '\"+r+\"'\"),assert(2===e.rank,\"boxes must be a 2D tensor, but was of rank '\"+e.rank+\"'\"),assert(4===e.shape[1],\"boxes must have 4 columns, but 2nd dimension was \"+e.shape[1]),assert(1===t.rank,\"scores must be a 1D tensor\"),assert(t.shape[0]===a,\"scores has incompatible shape with boxes. Expected \"+a+\", but was \"+t.shape[0]),{maxOutputSize:n,iouThreshold:r,scoreThreshold:o}}function cropAndResize_(e,t,n,r,o,a){var i=convertToTensor(e,\"image\",\"cropAndResize\",\"float32\"),s=convertToTensor(t,\"boxes\",\"cropAndResize\",\"float32\"),u=convertToTensor(n,\"boxInd\",\"cropAndResize\",\"int32\");o=o||\"bilinear\",a=a||0;var l=s.shape[0];assert(4===i.rank,\"Error in cropAndResize: image must be rank 4,but got rank \"+i.rank+\".\"),assert(2===s.rank&&4===s.shape[1],\"Error in cropAndResize: boxes must be have size [\"+l+\",4] but had shape \"+s.shape+\".\"),assert(1===u.rank&&u.shape[0]===l,\"Error in cropAndResize: boxInd must be have size [\"+l+\"] but had shape \"+s.shape+\".\"),assert(\"int32\"===u.dtype,\"Error in cropAndResize: boxInd must be of dtype int32, but got dtype \"+u.dtype+\".\"),assert(2===r.length,\"Error in cropAndResize: cropSize must be of length 2, but got length \"+r.length+\".\"),assert(r[0]>=1&&r[1]>=1,\"cropSize must be atleast [1,1], but was \"+r),assert(\"bilinear\"===o||\"nearest\"===o,\"method must be bilinear or nearest, but was \"+o);return ENV.engine.runKernel(function(e,t){return e.cropAndResize(i,s,u,r,o,a)},{$image:i,$boxes:s})}var resizeBilinear=op({resizeBilinear_:resizeBilinear_}),resizeNearestNeighbor=op({resizeNearestNeighbor_:resizeNearestNeighbor_}),nonMaxSuppression=op({nonMaxSuppression_:nonMaxSuppression_}),nonMaxSuppressionAsync=nonMaxSuppressionAsync_,cropAndResize=cropAndResize_,image_ops=Object.freeze({resizeBilinear:resizeBilinear,resizeNearestNeighbor:resizeNearestNeighbor,nonMaxSuppression:nonMaxSuppression,nonMaxSuppressionAsync:nonMaxSuppressionAsync,cropAndResize:cropAndResize}),ops=Object.freeze({image:image_ops,linalg:linalg_ops,losses:loss_ops,op:op,batchNormalization2d:batchNormalization2d,batchNormalization3d:batchNormalization3d,batchNormalization4d:batchNormalization4d,batchNormalization:batchNormalization,complex:complex,real:real,imag:imag,concat:concat,concat1d:concat1d,concat2d:concat2d,concat3d:concat3d,concat4d:concat4d,split:split$1,conv1d:conv1d,conv2d:conv2d,depthwiseConv2d:depthwiseConv2d,separableConv2d:separableConv2d,conv2dTranspose:conv2dTranspose,matMul:matMul,dot:dot,outerProduct:outerProduct,reverse:reverse,reverse1d:reverse1d,reverse2d:reverse2d,reverse3d:reverse3d,reverse4d:reverse4d,maxPool:maxPool,avgPool:avgPool,slice:slice,slice1d:slice1d,slice2d:slice2d,slice3d:slice3d,slice4d:slice4d,abs:abs,acos:acos,acosh:acosh,asin:asin,asinh:asinh,atan:atan,atanh:atanh,ceil:ceil,clipByValue:clipByValue,cos:cos,cosh:cosh,erf:erf,exp:exp,expm1:expm1,floor:floor,log:log$1,log1p:log1p,logSigmoid:logSigmoid,neg:neg,reciprocal:reciprocal,round:round,rsqrt:rsqrt,sigmoid:sigmoid,sign:sign,sin:sin,sinh:sinh,softplus:softplus,sqrt:sqrt,square:square,step:step,tan:tan,tanh:tanh$1,all:all,any:any,argMax:argMax,argMin:argMin,logSumExp:logSumExp,max:max,mean:mean,min:min,moments:moments,sum:sum,equal:equal,equalStrict:equalStrict,greater:greater,greaterEqual:greaterEqual,greaterEqualStrict:greaterEqualStrict,greaterStrict:greaterStrict,less:less,lessEqual:lessEqual,lessEqualStrict:lessEqualStrict,lessStrict:lessStrict,notEqual:notEqual,notEqualStrict:notEqualStrict,add:add,addN:addN,addStrict:addStrict,atan2:atan2,div:div,divStrict:divStrict,floorDiv:floorDiv,maximum:maximum,maximumStrict:maximumStrict,minimum:minimum,minimumStrict:minimumStrict,mod:mod,modStrict:modStrict,mul:mul,mulStrict:mulStrict,pow:pow,powStrict:powStrict,squaredDifference:squaredDifference,squaredDifferenceStrict:squaredDifferenceStrict,sub:sub,subStrict:subStrict,elu:elu,leakyRelu:leakyRelu,prelu:prelu,relu:relu,selu:selu,logicalAnd:logicalAnd,logicalNot:logicalNot,logicalOr:logicalOr,logicalXor:logicalXor,where:where,whereAsync:whereAsync,buffer:buffer,toPixels:toPixels,print:print,batchToSpaceND:batchToSpaceND,cast:cast,clone:clone,cumsum:cumsum,depthToSpace:depthToSpace,expandDims:expandDims,eye:eye,fromPixels:fromPixels,multinomial:multinomial,oneHot:oneHot,pad:pad,pad1d:pad1d,pad2d:pad2d,pad3d:pad3d,pad4d:pad4d,rand:rand,randomNormal:randomNormal,randomUniform:randomUniform,reshape:reshape,spaceToBatchND:spaceToBatchND,squeeze:squeeze,stack:stack,tile:tile,truncatedNormal:truncatedNormal,unstack:unstack,fill:fill,linspace:linspace,ones:ones$1,range:range,scalar:scalar,tensor:tensor,tensor1d:tensor1d,tensor2d:tensor2d,tensor3d:tensor3d,tensor4d:tensor4d,tensor5d:tensor5d,tensor6d:tensor6d,zeros:zeros,onesLike:onesLike,zerosLike:zerosLike,transpose:transpose,softmax:softmax,localResponseNormalization:localResponseNormalization,norm:norm,gather:gather,unsortedSegmentSum:unsortedSegmentSum,basicLSTMCell:basicLSTMCell,multiRNNCell:multiRNNCell,movingAverage:movingAverage,stridedSlice:stridedSlice,topk:topk}),MathBackendCPU=function(){function e(){this.blockSize=48,this.data=new WeakMap,this.firstUse=!0,ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\"))}return e.prototype.register=function(e,t,n){if(this.firstUse&&(this.firstUse=!1,ENV.get(\"IS_NODE\")&&warn(\"\\n============================\\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\\n============================\\n\")),this.data.has(e))throw new Error(\"Data buffer is already registered\");this.data.set(e,{dtype:n})},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendCPU.write(): values can not be null\");this.throwIfNoData(e),this.data.get(e).values=t},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var n,r;if(ENV.get(\"IS_NODE\")&&null==e.getContext)throw new Error(\"When running in node, pixels must be an HTMLCanvasElement like the one returned by the `canvas` npm package\");if(null!=e.getContext)n=e.getContext(\"2d\").getImageData(0,0,e.width,e.height).data;else if(e instanceof ImageData)n=e.data;else{if(!(e instanceof HTMLImageElement||e instanceof HTMLVideoElement))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(null==this.canvas)throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");this.canvas.width=e.width,this.canvas.height=e.height,this.canvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),n=this.canvas.getContext(\"2d\").getImageData(0,0,e.width,e.height).data}if(4===t)r=new Int32Array(n);else{var o=e.width*e.height;r=new Int32Array(o*t);for(var a=0;a<o;a++)for(var i=0;i<t;++i)r[a*t+i]=n[4*a+i]}return tensor3d(r,[e.height,e.width,t],\"int32\")},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.readSync(e)]})})},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.data.get(e),n=t.dtype,r=t.complexTensors;return\"complex64\"===n?mergeRealAndImagArrays(r.real.dataSync(),r.imag.dataSync()):this.data.get(e).values},e.prototype.disposeData=function(e){if(this.data.has(e)){var t=this.data.get(e).complexTensors;null!=t&&(t.real.dispose(),t.imag.dispose()),this.data.delete(e)}},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return t=now(),e(),[2,{kernelMs:now()-t}]})})},e.prototype.memory=function(){return{unreliable:!0}},e.prototype.throwIfNoData=function(e){if(!this.data.has(e))throw new Error(\"CPU backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.complex=function(e,t){var n=Tensor.make(e.shape,{},\"complex64\");return this.data.get(n.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.data.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.data.get(e.dataId).complexTensors.imag.clone()},e.prototype.assertNotComplex=function(e,t){Array.isArray(e)||(e=[e]),e.forEach(function(e){null!=e&&assert(\"complex64\"!==e.dtype,t+\" does not support complex64 tensors.\")})},e.prototype.slice=function(e,t,n){this.assertNotComplex(e,\"slice\");for(var r=buffer(n,e.dtype),o=0;o<r.size;++o){var a=r.indexToLoc(o),i=a.map(function(e,n){return e+t[n]});r.set.apply(r,[e.get.apply(e,i)].concat(a))}return r.toTensor()},e.prototype.stridedSlice=function(e,t,n,r,o,a,i,s,u){this.assertNotComplex(e,\"stridedSlice\");var l=getStridedSlicedInfo(e.shape,t,n,r,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);for(var f=buffer(p,e.dtype),m=0;m<f.size;m++){for(var g=f.indexToLoc(m),v=new Array(g.length),x=0;x<v.length;x++)v[x]=g[x]*r[x]+c[x];f.set.apply(f,[e.get.apply(e,v)].concat(g))}return f.toTensor().reshape(h)},e.prototype.reverse=function(e,t){this.assertNotComplex(e,\"reverse\");for(var n=buffer(e.shape,e.dtype),r=e.buffer(),o=function(o){var a=n.indexToLoc(o),i=a.slice();t.forEach(function(t){return i[t]=e.shape[t]-1-i[t]}),n.set.apply(n,[r.get.apply(r,i)].concat(a))},a=0;a<n.size;a++)o(a);return n.toTensor()},e.prototype.concat=function(e,t){this.assertNotComplex(e,\"concat\");var n=e.map(function(e){var n=sizeFromShape(e.shape.slice(t));return e.as2D(-1,n)}),r=computeOutShape(n.map(function(e){return e.shape}),1),o=buffer(r,e[0].dtype).values;if(1===n[0].shape[0]){var a=0;n.forEach(function(e){o.set(e.dataSync(),a),a+=e.size})}else{var i=0;n.forEach(function(e){for(var t=e.dataSync(),n=0,a=0;a<e.shape[0];++a)for(var s=a*r[1]+i,u=0;u<e.shape[1];++u)o[s+u]=t[n++];i+=e.shape[1]})}var s=computeOutShape(e.map(function(e){return e.shape}),t);return tensor(o,s,e[0].dtype)},e.prototype.neg=function(e){return this.assertNotComplex(e,\"neg\"),this.multiply(scalar(-1),e)},e.prototype.add=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,n,r){return{real:e+n,imag:t+r}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e+t})},e.prototype.addN=function(e){this.assertNotComplex(e,\"addN\");for(var t=e.map(function(e){return e.dataSync()}),n=buffer(e[0].shape,e[0].dtype),r=n.values,o=0;o<e.length;o++)for(var a=t[o],i=0;i<r.length;i++)r[i]+=a[i];return n.toTensor()},e.prototype.subtract=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,n,r){return{real:e-n,imag:t-r}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e-t})},e.prototype.pow=function(e,t){return this.assertNotComplex([e,t],\"pow\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.pow(e,t)})},e.prototype.batchMatMul=function(e,t,n,r){this.assertNotComplex([e,t],\"matMul\");for(var o=n?e.shape[1]:e.shape[2],a=n?e.shape[2]:e.shape[1],i=r?t.shape[1]:t.shape[2],s=e.shape[0],u=e.dataSync(),l=t.dataSync(),c=n?[e.strides[0],1,e.strides[1]]:[e.strides[0],e.strides[1],1],p=c[0],d=c[1],h=c[2],f=r?[1,t.strides[1],t.strides[0]]:[t.strides[1],1,t.strides[0]],m=f[0],g=f[1],v=f[2],x=a*i,y=new Float32Array(s*x),T=this.blockSize,b=0;b<s;b++)for(var S=0;S<a;S+=T)for(var E=0;E<i;E+=T)for(var w=0;w<o;w+=T)for(var C=Math.min(S+T,a),A=Math.min(E+T,i),_=Math.min(w+T,o),R=S;R<C;R++)for(var N=E;N<A;N++){for(var k=0,I=w;I<_;I++)k+=u[b*p+R*d+I*h]*l[I*m+N*g+b*v];y[b*x+(R*i+N)]+=k}return tensor3d(y,[s,a,i])},e.prototype.multiply=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,n,r){return{real:e*n-t*r,imag:e*r+t*n}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e*t})},e.prototype.realDivide=function(e,t){this.assertNotComplex([e,t],\"realDivide\");return this.broadcastedBinaryOp(e,t,\"float32\",function(e,t){return e/t})},e.prototype.floorDiv=function(e,t){this.assertNotComplex([e,t],\"floorDiv\");return this.broadcastedBinaryOp(e,t,\"int32\",function(e,t){return Math.floor(e/t)})},e.prototype.sum=function(e,t){this.assertNotComplex(e,\"sum\"),assertAxesAreInnerMostDims(\"sum\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,upcastType(e.dtype,\"int32\")),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=0,d=0;d<i;++d)p+=u[c+d];s[l]=p}return a},e.prototype.unsortedSegmentSum=function(e,t,n){this.assertNotComplex(e,\"unsortedSegmentSum\");for(var r=[],o=e.rank-t.rank,a=0;a<o;++a)t=t.expandDims(a+1);for(a=0;a<n;++a){var i=scalar(a,\"int32\"),s=equal(i,t).asType(\"float32\").mul(e).sum(0);r.push(s)}return stack(r)},e.prototype.argMin=function(e,t){this.assertNotComplex(e,\"argMin\");var n=[t];assertAxesAreInnerMostDims(\"argMin\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=r[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m<d&&(d=m,h=f)}u[c]=h}return i},e.prototype.argMax=function(e,t){this.assertNotComplex(e,\"argMax\");var n=[t];assertAxesAreInnerMostDims(\"argMax\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=r[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m>d&&(d=m,h=f)}u[c]=h}return i},e.prototype.cumsum=function(e,t,n,r){if(this.assertNotComplex(e,\"cumsum\"),t!==e.rank-1)throw new Error(\"backend.cumsum in CPU expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);for(var o=upcastType(e.dtype,\"int32\"),a=zeros(e.shape,o),i=a.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=r?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var p=0;p<u;p++){var d=l(c,p);if(0===p)i[d]=n?0:s[d];else{var h=l(c,p-1);i[d]=n?s[h]+i[h]:s[d]+i[h]}}return a},e.prototype.equal=function(e,t){return this.assertNotComplex([e,t],\"equal\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.assertNotComplex([e,t],\"notEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.assertNotComplex([e,t],\"less\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.assertNotComplex([e,t],\"lessEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.assertNotComplex([e,t],\"greater\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.assertNotComplex([e,t],\"greaterEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){this.assertNotComplex(e,\"logicalNot\");for(var t=e.dataSync(),n=new Int32Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return Tensor.make(e.shape,{values:n},\"bool\")},e.prototype.logicalAnd=function(e,t){return this.assertNotComplex([e,t],\"logicalAnd\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.assertNotComplex([e,t],\"logicalOr\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e||t})},e.prototype.select=function(e,t,n){this.assertNotComplex([e,t,n],\"select\");for(var r=e.dataSync(),o=t.dataSync(),a=n.dataSync(),i=zeros(t.shape,upcastType(t.dtype,n.dtype)),s=i.dataSync(),u=0,l=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],c=0;c<r.length;c++)for(var p=0;p<l;p++)1===r[c]?s[u++]=o[c]:s[u++]=a[c];return i},e.prototype.where=function(e){this.assertNotComplex([e],\"where\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,n){return this.assertNotComplex(e,\"topk\"),topkImpl(e.dataSync(),e.shape,e.dtype,t,n)},e.prototype.min=function(e,t){this.assertNotComplex(e,\"min\"),assertAxesAreInnerMostDims(\"min\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h<p&&(p=h)}s[l]=p}return a},e.prototype.minimum=function(e,t){return this.assertNotComplex([e,t],\"minimum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.assertNotComplex([e,t],\"mod\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})},e.prototype.max=function(e,t){this.assertNotComplex(e,\"max\"),assertAxesAreInnerMostDims(\"max\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h>p&&(p=h)}s[l]=p}return a},e.prototype.maximum=function(e,t){return this.assertNotComplex([e,t],\"maximum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){this.assertNotComplex(e,\"all\"),assertAxesAreInnerMostDims(\"all\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p&&h}s[l]=p}return a},e.prototype.any=function(e,t){this.assertNotComplex(e,\"any\"),assertAxesAreInnerMostDims(\"any\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p||h}s[l]=p}return a},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],\"squaredDifference\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){this.assertNotComplex(e,\"ceil\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.floor=function(e){this.assertNotComplex(e,\"floor\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.sign=function(e){this.assertNotComplex(e,\"x\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return Tensor.make(e.shape,{values:n})},e.prototype.round=function(e){this.assertNotComplex(e,\"round\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=Math.floor(t[r]);t[r]-o<.5?n[r]=Math.floor(t[r]):t[r]-o>.5?n[r]=Math.ceil(t[r]):n[r]=o%2==0?o:o+1}return Tensor.make(e.shape,{values:n})},e.prototype.exp=function(e){this.assertNotComplex(e,\"exp\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.expm1=function(e){this.assertNotComplex(e,\"expm1\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.log=function(e){this.assertNotComplex(e,\"log\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=Math.log(o)}return Tensor.make(e.shape,{values:n})},e.prototype.log1p=function(e){this.assertNotComplex(e,\"log1p\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=Math.log1p(o)}return Tensor.make(e.shape,{values:n})},e.prototype.sqrt=function(e){this.assertNotComplex(e,\"sqrt\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=Math.sqrt(o)}return Tensor.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,\"rsqrt\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=1/Math.sqrt(o)}return Tensor.make(e.shape,{values:n})},e.prototype.square=function(e){this.assertNotComplex(e,\"square\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=o*o}return Tensor.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,\"reciprocal\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return Tensor.make(e.shape,{values:n})},e.prototype.relu=function(e){this.assertNotComplex(e,\"relu\");for(var t=zeros(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,\"elu\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var o=n[r];t[r]=o>=0?o:Math.exp(o)-1}return Tensor.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],\"eluDer\");for(var n=new Float32Array(t.size),r=t.dataSync(),o=e.dataSync(),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return Tensor.make(t.shape,{values:n})},e.prototype.selu=function(e){this.assertNotComplex(e,\"selu\");for(var t=SELU_SCALEALPHA,n=SELU_SCALE,r=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];r[a]=i>=0?n*i:t*(Math.exp(i)-1)}return Tensor.make(e.shape,{values:r})},e.prototype.clip=function(e,t,n){this.assertNotComplex(e,\"clip\");for(var r=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];r[a]=i>n?n:i<t?t:i}return Tensor.make(e.shape,{values:r})},e.prototype.abs=function(e){this.assertNotComplex(e,\"abs\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,\"int\");for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return Tensor.make(e.shape,{values:t},\"int32\")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,\"sigmoid\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return Tensor.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,\"softplus\");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),o=0;o<r.length;++o){var a=r[o]>-t,i=r[o]<t,s=Math.exp(r[o]),u=void 0;u=i?s:a?r[o]:Math.log(1+s),n[o]=u}return Tensor.make(e.shape,{values:n})},e.prototype.sin=function(e){this.assertNotComplex(e,\"sin\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,\"cos\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,\"tan\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,\"asin\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,\"acos\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,\"atan\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],\"atan2\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,\"sinh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,\"cosh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,\"tanh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=tanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,\"asinh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,\"acosh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,\"atanh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,\"erf\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=ERF_P,o=ERF_A1,a=ERF_A2,i=ERF_A3,s=ERF_A4,u=ERF_A5,l=0;l<n.length;++l){var c=n[l],p=1/(1+r*c);t[l]=1-((((u*p+s)*p+i)*p+a)*p+o)*p*Math.exp(-c*c)}return Tensor.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,\"step\");for(var n=new Float32Array(e.size),r=e.dataSync(),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:t}return Tensor.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){this.assertNotComplex([e,t],\"conv2d\");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=buffer(n.outShape,e.dtype),c=e.dataSync(),p=t.dataSync(),d=l.values,h=0;h<n.batchSize;++h)for(var f=h*e.strides[0],m=h*l.strides[0],g=0;g<n.outHeight;++g)for(var v=m+g*l.strides[1],x=g*n.strideHeight-s,y=0;y<r;y++){var T=x+y*a;if(!(T<0||T>=n.inHeight))for(var b=y*t.strides[0],S=f+T*e.strides[1],E=0;E<n.outWidth;++E)for(var w=v+E*n.outChannels,C=E*n.strideWidth-u,A=0;A<o;A++){var _=C+A*i;if(!(_<0||_>=n.inWidth))for(var R=b+A*t.strides[1],N=S+_*n.inChannels,k=R,I=0;I<n.inChannels;++I){for(var D=c[N+I],M=0;M<n.outChannels;++M)d[w+M]+=D*p[k+M];k+=n.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){this.assertNotComplex([e,t],\"conv2dDerInput\");for(var r=buffer(n.inShape,\"float32\"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],x=m[2],y=n.batchSize,T=n.filterHeight,b=n.filterWidth,S=n.inChannels,E=n.inHeight,w=n.inWidth,C=n.outChannels,A=n.outHeight,_=n.outWidth,R=n.strideHeight,N=n.strideWidth,k=T-1-n.padInfo.top,I=b-1-n.padInfo.left,D=0;D<y;++D)for(var M=0;M<S;++M)for(var O=0;O<E;++O)for(var P=O-k,F=Math.max(0,Math.ceil(P/R)),L=Math.min(A,(T+P)/R),B=0;B<w;++B){for(var U=B-I,z=Math.max(0,Math.ceil(U/N)),V=Math.min(_,(b+U)/N),H=0,G=F;G<L;++G)for(var W=G*R-P,q=z;q<V;++q)for(var $=p*D+d*G+h*q,X=g*(T-1-W)+v*(b-1-(q*N-U))+x*M,K=0;K<C;++K){H+=l[$+K]*f[X+K]}o[i*D+s*O+u*B+M]=H}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){this.assertNotComplex([e,t],\"conv2dDerFilter\");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<a;++c)for(var p=Math.max(0,Math.ceil((l-c)/r)),d=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<i;++h)for(var f=Math.max(0,Math.ceil((u-h)/o)),m=Math.min(n.outWidth,(n.inWidth+u-h)/o),g=0;g<n.inChannels;++g)for(var v=0;v<n.outChannels;++v){for(var x=0,y=0;y<n.batchSize;++y)for(var T=p;T<d;++T)for(var b=c+T*r-l,S=f;S<m;++S){var E=h+S*o-u;x+=e.get(y,b,E,g)*t.get(y,T,S,v)}s.set(x,c,h,g,v)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){this.assertNotComplex([e,t],\"depthwiseConv2D\");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=buffer(n.outShape,e.dtype),p=e.dataSync(),d=t.dataSync(),h=c.values,f=0;f<n.batchSize;++f)for(var m=f*e.strides[0],g=f*c.strides[0],v=0;v<n.outHeight;++v)for(var x=g+v*c.strides[1],y=v*n.strideHeight-s,T=0;T<r;++T){var b=y+T*a;if(!(b<0||b>=n.inHeight))for(var S=T*t.strides[0],E=m+b*e.strides[1],w=0;w<n.outWidth;++w)for(var C=x+w*c.strides[2],A=w*n.strideWidth-u,_=0;_<o;++_){var R=A+_*i;if(!(R<0||R>=n.inWidth))for(var N=S+_*t.strides[1],k=E+R*n.inChannels,I=C,D=N,M=0;M<n.inChannels;++M){for(var O=p[k+M],P=0;P<l;++P)h[I+P]+=O*d[D+P];I+=l,D+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){this.assertNotComplex([e,t],\"depthwiseConv2DDerInput\");for(var r=buffer(n.inShape,\"float32\"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],x=m[2],y=n.batchSize,T=n.filterHeight,b=n.filterWidth,S=n.inChannels,E=n.inHeight,w=n.inWidth,C=n.outChannels,A=n.outHeight,_=n.outWidth,R=n.strideHeight,N=n.strideWidth,k=T-1-n.padInfo.top,I=b-1-n.padInfo.left,D=C/S,M=0;M<y;++M)for(var O=0;O<S;++O)for(var P=0;P<E;++P)for(var F=P-k,L=Math.max(0,Math.ceil(F/R)),B=Math.min(A,(T+F)/R),U=0;U<w;++U){for(var z=U-I,V=Math.max(0,Math.ceil(z/N)),H=Math.min(_,(b+z)/N),G=0,W=L;W<B;++W)for(var q=W*R-F,$=V;$<H;++$)for(var X=p*M+d*W+h*$,K=g*(T-1-q)+v*(b-1-($*N-z))+x*O,j=0;j<D;++j){G+=l[X+(O*D+j)]*f[K+j]}o[i*M+s*P+u*U+O]=G}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){this.assertNotComplex([e,t],\"depthwiseConv2DDerFilter\");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=0;p<a;++p)for(var d=Math.max(0,Math.ceil((l-p)/r)),h=Math.min(n.outHeight,(n.inHeight+l-p)/r),f=0;f<i;++f)for(var m=Math.max(0,Math.ceil((u-f)/o)),g=Math.min(n.outWidth,(n.inWidth+u-f)/o),v=0;v<n.outChannels;++v){for(var x=Math.trunc(v/c),y=v%c,T=0,b=0;b<n.batchSize;++b)for(var S=d;S<h;++S)for(var E=p+S*r-l,w=m;w<g;++w){var C=f+w*o-u;T+=e.get(b,E,C,x)*t.get(b,S,w,v)}s.set(T,p,f,x,y)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,\"tile\");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var o=buffer(n,e.dtype),a=e.buffer();for(r=0;r<o.values.length;++r){for(var i=o.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=i[u]%e.shape[u];var l=a.locToIndex(s);o.values[r]=a.values[l]}return o.toTensor()},e.prototype.pad=function(e,t,n){this.assertNotComplex(e,\"pad\");var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),o=t.map(function(e){return e[0]}),a=e.buffer(),i=buffer(r,e.dtype);0!==n&&i.values.fill(n);for(var s=0;s<e.size;s++){var u=a.indexToLoc(s),l=u.map(function(e,t){return e+o[t]});i.set.apply(i,[e.get.apply(e,u)].concat(l))}return i.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,\"transpose\");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var o=e.dataSync(),a=buffer(n,e.dtype),i=e.buffer();for(r=0;r<e.size;++r){for(var s=i.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=a.locToIndex(u);a.values[c]=o[r]}return a.toTensor()},e.prototype.gather=function(e,t,n){this.assertNotComplex([e,t],\"gather\");var r=e.shape.slice(),o=t.dataSync();r[n]=o.length;for(var a=buffer(r,e.dtype),i=e.buffer(),s=0;s<a.size;++s){var u=a.indexToLoc(s),l=u.slice();l[n]=o[u[n]];var c=i.locToIndex(l);a.values[s]=i.values[c]}return a.toTensor()},e.prototype.batchToSpaceND=function(e,t,n){this.assertNotComplex([e],\"batchToSpaceND\");var r=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,r),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,r),s=getSliceBeginCoords(n,t.length),u=getSliceSize(i,n,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){this.assertNotComplex([e],\"spaceToBatchND\");var r=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,n);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,r,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,r,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,n){this.assertNotComplex(e,\"pool\");for(var r=t.strideHeight,o=t.strideWidth,a=t.filterHeight,i=t.filterWidth,s=buffer(t.outShape,\"float32\"),u=t.padInfo.top,l=t.padInfo.left,c=\"max\"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,p=0;p<t.batchSize;++p)for(var d=0;d<t.inChannels;++d)for(var h=0;h<t.outHeight;++h)for(var f=h*r-u,m=Math.max(0,f),g=Math.min(t.inHeight,a+f),v=0;v<t.outWidth;++v){for(var x=v*o-l,y=Math.max(0,x),T=Math.min(t.inWidth,i+x),b=c,S=0,E=0,w=m;w<g;++w){for(var C=y;C<T;++C){var A=e.get(p,w,C,d);\"max\"===n&&A>b?b=A:\"avg\"===n&&(S+=A,E++)}if(isNaN(b))break}s.set(\"avg\"===n?S/E:b,p,h,v,d)}return s.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,\"max\")},e.prototype.maxPoolPositions=function(e,t){for(var n=buffer(t.outShape,\"int32\"),r=t.strideHeight,o=t.strideWidth,a=t.filterHeight,i=t.filterWidth,s=t.padInfo.top,u=t.padInfo.left,l=0;l<t.batchSize;++l)for(var c=0;c<t.inChannels;++c)for(var p=0;p<t.outHeight;++p)for(var d=p*r-s,h=Math.max(0,d),f=Math.min(t.inHeight,a+d),m=0;m<t.outWidth;++m){for(var g=m*o-u,v=Math.max(0,g),x=Math.min(t.inWidth,i+g),y=Number.NEGATIVE_INFINITY,T=-1,b=h;b<f;++b)for(var S=b-d,E=v;E<x;++E){var w=E-g,C=e.get(l,b,E,c);C>y&&(y=C,T=S*i+w)}n.set(T,l,p,m,c)}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){this.assertNotComplex([t,n],\"maxPoolBackprop\");for(var o=this.maxPoolPositions(t,r),a=r.strideHeight,i=r.strideWidth,s=r.filterHeight,u=r.filterWidth,l=u-1-r.padInfo.left,c=s-1-r.padInfo.top,p=buffer(t.shape,\"float32\"),d=0;d<r.batchSize;++d)for(var h=0;h<r.inChannels;++h)for(var f=0;f<r.inHeight;++f)for(var m=0;m<r.inWidth;++m){for(var g=f-c,v=m-l,x=0,y=0;y<s;++y){var T=(g+y)/a;if(!(T<0||T>=r.outHeight||Math.floor(T)!==T))for(var b=0;b<u;++b){var S=(v+b)/i;if(!(S<0||S>=r.outWidth||Math.floor(S)!==S)){var E=s*u-1-o.get(d,T,S,h)===y*u+b?1:0;if(0!==E)x+=e.get(d,T,S,h)*E}}}p.set(x,d,f,m,h)}return p.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){this.assertNotComplex([e,t],\"avgPoolBackprop\");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=i-1-n.padInfo.left,u=a-1-n.padInfo.top,l=buffer(t.shape,\"float32\"),c=1/(a*i),p=0;p<n.batchSize;++p)for(var d=0;d<n.inChannels;++d)for(var h=0;h<n.inHeight;++h)for(var f=0;f<n.inWidth;++f){for(var m=h-u,g=f-s,v=0,x=0;x<a;++x){var y=(m+x)/r;if(!(y<0||y>=n.outHeight||Math.floor(y)!==y))for(var T=0;T<i;++T){var b=(g+T)/o;if(!(b<0||b>=n.outWidth||Math.floor(b)!==b))v+=e.get(p,y,b,d)}}l.set(v*c,p,h,f,d)}return l.toTensor()},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,\"avgPool\"),this.pool(e,t,\"avg\").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){this.assertNotComplex(e,\"resizeBilinear\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=buffer([a,t,n,u],e.dtype),c=[r&&t>1?i-1:i,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],d=0;d<a;d++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var m=0;m<u;m++){var g=c[0]*h/p[0],v=c[1]*f/p[1],x=Math.floor(g),y=Math.min(i-1,Math.ceil(g)),T=Math.floor(v),b=Math.min(s-1,Math.ceil(v)),S=e.get(d,x,T,m),E=e.get(d,y,T,m),w=v-T,C=S+(e.get(d,x,b,m)-S)*w,A=C+(E+(e.get(d,y,b,m)-E)*w-C)*(g-x);l.set(A,d,h,f,m)}return l.toTensor()},e.prototype.resizeBilinearBackprop=function(e,t,n){this.assertNotComplex([e,t],\"resizeBilinearBackprop\");for(var r=t.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],p=buffer([o,a,i,s],t.dtype),d=[n&&l>1?a-1:a,n&&c>1?i-1:i],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],f=d[0]/h[0],m=d[1]/h[1],g=0;g<o;g++)for(var v=0;v<l;v++)for(var x=v*f,y=Math.floor(x),T=Math.min(Math.ceil(x),a-1),b=x-y,S=1-b,E=0;E<c;E++)for(var w=E*m,C=Math.floor(w),A=Math.min(Math.ceil(w),i-1),_=w-C,R=1-_,N=0;N<s;N++){var k=e.get(g,v,E,N),I=p.get(g,y,C,N);I+=k*S*R,p.set(I,g,y,C,N);var D=p.get(g,y,A,N);D+=k*S*_,p.set(D,g,y,A,N);var M=p.get(g,T,C,N);M+=k*b*R,p.set(M,g,T,C,N);var O=p.get(g,T,A,N);O+=k*b*_,p.set(O,g,T,A,N)}return p.toTensor()},e.prototype.resizeNearestNeighbor=function(e,t,n,r){this.assertNotComplex(e,\"resizeNearestNeighbor\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=buffer([a,t,n,u],e.dtype),c=[r&&t>1?i-1:i,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],d=0;d<a;d++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var m=0;m<u;m++){var g=c[0]*h/p[0],v=c[1]*f/p[1],x=Math.min(i-1,r?Math.round(g):Math.floor(g)),y=Math.min(s-1,r?Math.round(v):Math.floor(v)),T=e.get(d,x,y,m);l.set(T,d,h,f,m)}return l.toTensor()},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){this.assertNotComplex([e,t],\"resizeNearestNeighborBackprop\");for(var r=t.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],p=buffer([o,a,i,s],t.dtype),d=[n&&l>1?a-1:a,n&&c>1?i-1:i],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],f=1/(d[0]/h[0]),m=1/(d[1]/h[1]),g=2*Math.ceil(f)+2,v=2*Math.ceil(m)+2,x=0;x<o;x++)for(var y=0;y<a;y++)for(var T=0;T<i;T++)for(var b=Math.floor(y*f),S=Math.floor(b-g/2),E=Math.floor(T*m),w=Math.floor(E-v/2),C=0;C<s;C++){for(var A=0,_=0;_<g;_++){var R=_+S;if(!(R<0||R>=l))for(var N=0;N<v;N++){var k=N+w;if(!(k<0||k>=c)){var I=d[0]*(R/h[0]),D=d[1]*(k/h[1]),M=Math.min(a-1,n?Math.round(I):Math.floor(I)),O=Math.min(i-1,n?Math.round(D):Math.floor(D));y===M&&T===O&&(A+=e.get(x,R,k,C))}}}p.set(A,x,y,T,C)}return p.toTensor()},e.prototype.batchNormalization=function(e,t,n,r,o,a){this.assertNotComplex([e,t,n,o,a],\"batchNormalization\");for(var i=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=o?o.dataSync():new Float32Array([1]),c=a?a.dataSync():new Float32Array([0]),p=new Float32Array(i.length),d=c.length,h=l.length,f=u.length,m=s.length,g=0,v=0,x=0,y=0,T=0;T<i.length;++T)p[T]=c[g++]+(i[T]-s[v++])*l[x++]/Math.sqrt(u[y++]+r),g>=d&&(g=0),v>=m&&(v=0),x>=h&&(x=0),y>=f&&(y=0);return tensor4d(p,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,o){this.assertNotComplex(e,\"localResponseNormalization4D\");var a=e.shape[3],i=a-1,s=e.dataSync(),u=sizeFromShape(e.shape),l=new Float32Array(u);function c(e){for(var n=e%a,r=e-n+Math.max(0,n-t),o=e-n+Math.min(n+t,i),u=0;r<=o;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var d=c(p),h=s[p]*Math.pow(n+r*d,-o);l[p]=h}return tensor4d(l,e.shape)},e.prototype.LRNGrad=function(e,t,n,r,o,a,i){this.assertNotComplex(e,\"LRNGrad\");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=n.dataSync(),p=new Float32Array(sizeFromShape(e.shape)),d=sizeFromShape(e.shape),h=0;h<d;h++){for(var f=h%s,m=h-f+Math.max(0,f-r),g=h-f+Math.min(s,f+r+1),v=0,x=m;x<g;x++)v+=Math.pow(l[x],2);v=a*v+o;for(x=m;x<g;x++){var y=-2*a*i*l[x]*c[h]/v;h===x&&(y+=Math.pow(v,-i)),y*=u[h],p[x]+=y}}return tensor4d(p,e.shape)},e.prototype.multinomial=function(e,t,n,r){this.assertNotComplex(e,\"multinomial\");for(var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=zeros([a,n],\"int32\"),u=s.dataSync(),l=o.dataSync(),c=0;c<a;++c){var p=c*i,d=new Float32Array(i-1);d[0]=l[p];for(var h=1;h<d.length;++h)d[h]=d[h-1]+l[p+h];for(var f=seedrandom_1(r.toString()),m=c*n,g=0;g<n;++g){var v=f();u[m+g]=d.length;for(var x=0;x<d.length;x++)if(v<d[x]){u[m+g]=x;break}}}return s},e.prototype.oneHot=function(e,t,n,r){this.assertNotComplex(e,\"oneHot\");var o=new Float32Array(e.size*t);o.fill(r);for(var a=0;a<e.size;++a)e.get(a)>=0&&e.get(a)<t&&(o[a*t+e.get(a)]=n);return tensor2d(o,[e.size,t],\"int32\")},e.prototype.nonMaxSuppression=function(e,t,n,r,o){return this.assertNotComplex(e,\"nonMaxSuppression\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),n,r,o)},e.prototype.depthToSpace=function(e,t,n){assert(\"NHWC\"===n,\"Only NHWC dataFormat supported on CPU for depthToSpace. Got \"+n),assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);for(var r=e.shape[0],o=e.shape[1],a=e.shape[2],i=e.shape[3],s=o*t,u=a*t,l=i/(t*t),c=e.dataSync(),p=new Float32Array(r*s*u*l),d=0,h=0;h<r;++h)for(var f=0;f<s;++f)for(var m=Math.floor(f/t),g=f%t,v=0;v<u;++v)for(var x=Math.floor(v/t),y=(g*t+v%t)*l,T=0;T<l;++T){var b=T+y+i*(x+a*(m+o*h));p[d++]=c[b]}return tensor4d(p,[r,s,u,l])},e.prototype.broadcastedBinaryOp=function(e,t,n,r){var o=assertAndGetBroadcastShape(e.shape,t.shape),a=buffer(o,n),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,o),l=getBroadcastDims(t.shape,o),c=a.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(i[p%i.length],s[p%s.length]);else{var d=e.buffer(),h=t.buffer(),f=function(n){var o=a.indexToLoc(n),p=o.slice(-e.rank);u.forEach(function(e){return p[e]=0});var f=d.locToIndex(p),m=o.slice(-t.rank);l.forEach(function(e){return m[e]=0});var g=h.locToIndex(m);c[n]=r(i[f],s[g])};for(p=0;p<c.length;++p)f(p)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(e,t,n){var r=assertAndGetBroadcastShape(e.shape,t.shape),o=buffer(r,\"float32\"),a=buffer(r,\"float32\"),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,r),l=getBroadcastDims(t.shape,r),c=o.values,p=a.values;if(u.length+l.length===0)for(var d=0;d<c.length;d++){var h=d%i.length,f=d%s.length,m=n(i[2*h],i[2*h+1],s[2*f],s[2*f+1]);c[d]=m.real,p[d]=m.imag}else{var g=this.data.get(e.dataId).complexTensors.real.buffer(),v=this.data.get(t.dataId).complexTensors.real.buffer(),x=function(r){var a=o.indexToLoc(r),d=a.slice(-e.rank);u.forEach(function(e){return d[e]=0});var h=g.locToIndex(d),f=a.slice(-t.rank);l.forEach(function(e){return f[e]=0});var m=v.locToIndex(f),x=n(i[2*h],i[2*h+1],s[2*m],s[2*m+1]);c[r]=x.real,p[r]=x.imag};for(d=0;d<c.length;d++)x(d)}return this.complex(o.toTensor(),a.toTensor())},e.prototype.split=function(e,t,n){return split(e,t,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.cropAndResize=function(e,t,n,r,o,a){for(var i=e.shape,s=i[0],u=i[1],l=i[2],c=i[3],p=t.shape[0],d=r[0],h=r[1],f=buffer([p,d,h,c]),m=t.dataSync(),g=n.dataSync(),v=e.dataSync(),x=e.strides,y=f.strides,T=0;T<p;T++){var b=4*T,S=m[b],E=m[b+1],w=m[b+2],C=m[b+3],A=g[T];if(!(A>=s))for(var _=d>1?(w-S)*(u-1)/(d-1):0,R=h>1?(C-E)*(l-1)/(h-1):0,N=0;N<d;N++){var k=d>1?S*(u-1)+N*_:.5*(S+w)*(u-1);if(k<0||k>u-1)for(var I=0;I<h;I++)for(var D=0;D<c;D++){var M=D+I*y[2]+N*y[1]+T*y[0];f.values[M]=a}else if(\"bilinear\"===o){var O=Math.floor(k),P=Math.ceil(k),F=k-O;for(I=0;I<h;I++){if((q=h>1?E*(l-1)+I*R:.5*(E+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+I*y[2]+N*y[1]+T*y[0];f.values[M]=a}else{var L=Math.floor(q),B=Math.ceil(q),U=q-L;for(D=0;D<c;D++){var z=v[M=D+L*x[2]+O*x[1]+A*x[0]],V=v[M=D+B*x[2]+O*x[1]+A*x[0]],H=v[M=D+L*x[2]+P*x[1]+A*x[0]],G=z+(V-z)*U,W=H+(v[M=D+B*x[2]+P*x[1]+A*x[0]]-H)*U;M=D+I*y[2]+N*y[1]+T*y[0],f.values[M]=G+(W-G)*F}}}}else for(I=0;I<h;++I){var q;if((q=h>1?E*(l-1)+I*R:.5*(E+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+I*y[2]+N*y[1]+T*y[0];f.values[M]=a}else{var $=Math.round(q),X=Math.round(k);for(D=0;D<c;D++){var K=D+$*x[2]+X*x[1]+A*x[0],j=D+I*y[2]+N*y[1]+T*y[0];f.values[j]=v[K]}}}}}return f.toTensor()},e}();ENV.registerBackend(\"cpu\",function(){return new MathBackendCPU},1,setTensorTracker);var delayCallback=\"undefined\"!=typeof requestAnimationFrame?requestAnimationFrame:setImmediate;function nextFrame(){return new Promise(function(e){return delayCallback(function(){return e()})})}var DTYPE_VALUE_SIZE_MAP={float32:4,int32:4,uint16:2,uint8:1,bool:1};function encodeWeights(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o;return __generator(this,function(a){switch(a.label){case 0:for(r in t=[],n=[],e){if(\"float32\"!==(o=e[r]).dtype&&\"int32\"!==o.dtype&&\"bool\"!==o.dtype)throw new Error(\"Unsupported dtype in weight '\"+r+\"': \"+o.dtype);t.push({name:r,shape:o.shape,dtype:o.dtype}),n.push(o.data())}return[4,Promise.all(n)];case 1:return[2,{data:concatenateTypedArrays(a.sent()),specs:t}]}})})}function decodeWeights(e,t){for(var n={},r=0,o=function(t){var o=t.name,a=t.dtype,i=t.shape,s=sizeFromShape(i),u=void 0;if(\"quantization\"in t){var l=t.quantization;if(\"uint8\"!==l.dtype&&\"uint16\"!==l.dtype)throw new Error(\"Weight \"+t.name+\" has unknown quantization dtype \"+l.dtype+\". Supported quantization dtypes are: 'uint8' and 'uint16'.\");var c=DTYPE_VALUE_SIZE_MAP[l.dtype],p=e.slice(r,r+s*c),d=\"uint8\"===l.dtype?new Uint8Array(p):new Uint16Array(p);if(\"float32\"===a)u=Float32Array.from(d,function(e){return e*l.scale+l.min});else{if(\"int32\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=Int32Array.from(d,function(e){return Math.round(e*l.scale+l.min)})}r+=s*c}else{var h=DTYPE_VALUE_SIZE_MAP[a];p=e.slice(r,r+s*h);if(\"float32\"===a)u=new Float32Array(p);else if(\"int32\"===a)u=new Int32Array(p);else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=new Uint8Array(p)}r+=s*h}var f=void 0;if(\"float32\"===a)f=tensor(u,i,\"float32\");else if(\"int32\"===a)f=tensor(u,i,\"int32\");else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);f=tensor(u,i,\"bool\")}n[o]=f},a=0,i=t;a<i.length;a++){o(i[a])}return n}function concatenateTypedArrays(e){if(null===e)throw new Error(\"Invalid input value: \"+JSON.stringify(e));var t=0,n=[];e.forEach(function(e){if(t+=e.byteLength,n.push(e.byteLength===e.buffer.byteLength?e:new e.constructor(e)),!(e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array))throw new Error(\"Unsupported TypedArray subtype: \"+e.constructor.name)});var r=new Uint8Array(t),o=0;return n.forEach(function(e){r.set(new Uint8Array(e.buffer),o),o+=e.byteLength}),r.buffer}var useNodeBuffer=\"undefined\"!=typeof Buffer&&(\"undefined\"==typeof Blob||\"undefined\"==typeof atob||\"undefined\"==typeof btoa);function stringByteLength(e){return useNodeBuffer?Buffer.byteLength(e):new Blob([e]).size}function arrayBufferToBase64String(e){return useNodeBuffer?Buffer.from(e).toString(\"base64\"):btoa(String.fromCharCode.apply(null,new Uint8Array(e)))}function base64StringToArrayBuffer(e){if(useNodeBuffer){var t=Buffer.from(e,\"base64\");return t.buffer.slice(t.byteOffset,t.byteOffset+t.byteLength)}for(var n=atob(e),r=new Uint8Array(n.length),o=0;o<n.length;++o)r.set([n.charCodeAt(o)],o);return r.buffer}function concatenateArrayBuffers(e){var t=0;e.forEach(function(e){t+=e.byteLength});var n=new Uint8Array(t),r=0;return e.forEach(function(e){n.set(new Uint8Array(e),r),r+=e.byteLength}),n.buffer}function basename(e){for(e=e.trim();e.endsWith(\"/\");)e=e.slice(0,e.length-1);var t=e.split(\"/\");return t[t.length-1]}function getModelArtifactsInfoForJSON(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:null==e.modelTopology?0:stringByteLength(JSON.stringify(e.modelTopology)),weightSpecsBytes:null==e.weightSpecs?0:stringByteLength(JSON.stringify(e.weightSpecs)),weightDataBytes:null==e.weightData?0:e.weightData.byteLength}}var IORouterRegistry=function(){function e(){this.saveRouters=[],this.loadRouters=[]}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerSaveRouter=function(t){e.getInstance().saveRouters.push(t)},e.registerLoadRouter=function(t){e.getInstance().loadRouters.push(t)},e.getSaveHandlers=function(t){return e.getHandlers(t,\"save\")},e.getLoadHandlers=function(t){return e.getHandlers(t,\"load\")},e.getHandlers=function(e,t){var n=[];return(\"load\"===t?this.getInstance().loadRouters:this.getInstance().saveRouters).forEach(function(t){var r=t(e);null!==r&&n.push(r)}),n},e}(),URL_SCHEME_SUFFIX=\"://\",ModelStoreManagerRegistry=function(){function e(){this.managers={}}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerManager=function(t,n){assert(null!=t,\"scheme must not be undefined or null.\"),t.endsWith(URL_SCHEME_SUFFIX)&&(t=t.slice(0,t.indexOf(URL_SCHEME_SUFFIX))),assert(t.length>0,\"scheme must not be an empty string.\");var r=e.getInstance();assert(null==r.managers[t],\"A model store manager is already registered for scheme '\"+t+\"'.\"),r.managers[t]=n},e.getManager=function(e){var t=this.getInstance().managers[e];if(null==t)throw new Error(\"Cannot find model manager for scheme '\"+e+\"'\");return t},e.getSchemes=function(){return Object.keys(this.getInstance().managers)},e}();function parseURL(e){if(-1===e.indexOf(URL_SCHEME_SUFFIX))throw new Error(\"The url string provided does not contain a scheme. Supported schemes are: \"+ModelStoreManagerRegistry.getSchemes().join(\",\"));return{scheme:e.split(URL_SCHEME_SUFFIX)[0],path:e.split(URL_SCHEME_SUFFIX)[1]}}function cloneModelInternal(e,t,n){return void 0===n&&(n=!1),__awaiter(this,void 0,void 0,function(){var r,o,a,i,s,u,l,c,p;return __generator(this,function(d){switch(d.label){case 0:return assert(e!==t,\"Old path and new path are the same: '\"+e+\"'\"),assert((r=IORouterRegistry.getLoadHandlers(e)).length>0,\"Copying failed because no load handler is found for source URL \"+e+\".\"),assert(r.length<2,\"Copying failed because more than one (\"+r.length+\") load handlers for source URL \"+e+\".\"),o=r[0],assert((a=IORouterRegistry.getSaveHandlers(t)).length>0,\"Copying failed because no save handler is found for destination URL \"+t+\".\"),assert(a.length<2,\"Copying failed because more than one (\"+r.length+\") save handlers for destination URL \"+t+\".\"),i=a[0],s=parseURL(e).scheme,u=parseURL(e).path,l=s===parseURL(e).scheme,[4,o.load()];case 1:return c=d.sent(),n&&l?[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)]:[3,3];case 2:d.sent(),d.label=3;case 3:return[4,i.save(c)];case 4:return p=d.sent(),!n||l?[3,6]:[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:d.sent(),d.label=6;case 6:return[2,p.modelArtifactsInfo]}})})}function listModels(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a,i;return __generator(this,function(s){switch(s.label){case 0:e=ModelStoreManagerRegistry.getSchemes(),t={},n=0,r=e,s.label=1;case 1:return n<r.length?(o=r[n],[4,ModelStoreManagerRegistry.getManager(o).listModels()]):[3,4];case 2:for(i in a=s.sent())t[o+URL_SCHEME_SUFFIX+i]=a[i];s.label=3;case 3:return n++,[3,1];case 4:return[2,t]}})})}function removeModel(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){switch(n.label){case 0:return t=parseURL(e),[4,ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:return[2,n.sent()]}})})}function copyModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!1)];case 1:return[2,n.sent()]}})})}function moveModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!0)];case 1:return[2,n.sent()]}})})}var DATABASE_NAME=\"tensorflowjs\",DATABASE_VERSION=1,MODEL_STORE_NAME=\"models_store\",INFO_STORE_NAME=\"model_info_store\";function getIndexedDBFactory(){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");var e=window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function setUpDatabase(e){var t=e.result;t.createObjectStore(MODEL_STORE_NAME,{keyPath:\"modelPath\"}),t.createObjectStore(INFO_STORE_NAME,{keyPath:\"modelPath\"})}var BrowserIndexedDB=function(){function e(e){if(this.indexedDB=getIndexedDBFactory(),null==e||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return[2,this.databaseAction(this.modelPath,e)]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,this.databaseAction(this.modelPath)]})})},e.prototype.databaseAction=function(e,t){var n=this;return new Promise(function(e,r){var o=n.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var a=o.result;if(null==t){var i=a.transaction(MODEL_STORE_NAME,\"readonly\"),s=i.objectStore(MODEL_STORE_NAME).get(n.modelPath);s.onsuccess=function(){if(null==s.result)return a.close(),r(new Error(\"Cannot find model with path '\"+n.modelPath+\"' in IndexedDB.\"));e(s.result.modelArtifacts)},s.onerror=function(e){return a.close(),r(s.error)},i.oncomplete=function(){return a.close()}}else{var u,l=getModelArtifactsInfoForJSON(t),c=a.transaction(INFO_STORE_NAME,\"readwrite\"),p=c.objectStore(INFO_STORE_NAME),d=p.put({modelPath:n.modelPath,modelArtifactsInfo:l});d.onsuccess=function(){var o=(u=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).put({modelPath:n.modelPath,modelArtifacts:t,modelArtifactsInfo:l});o.onsuccess=function(){return e({modelArtifactsInfo:l})},o.onerror=function(e){var t=(p=c.objectStore(INFO_STORE_NAME)).delete(n.modelPath);t.onsuccess=function(){return a.close(),r(o.error)},t.onerror=function(e){return a.close(),r(o.error)}}},d.onerror=function(e){return a.close(),r(d.error)},c.oncomplete=function(){null==u?a.close():u.oncomplete=function(){return a.close()}}}},o.onerror=function(e){return r(o.error)}})},e.URL_SCHEME=\"indexeddb://\",e}(),indexedDBRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserIndexedDB.URL_SCHEME)?browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)):null};function browserIndexedDB(e){return new BrowserIndexedDB(e)}function maybeStripScheme(e){return e.startsWith(BrowserIndexedDB.URL_SCHEME)?e.slice(BrowserIndexedDB.URL_SCHEME.length):e}IORouterRegistry.registerSaveRouter(indexedDBRouter),IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager=function(){function e(){this.indexedDB=getIndexedDBFactory()}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e=this;return __generator(this,function(t){return[2,new Promise(function(t,n){var r=e.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);r.onupgradeneeded=function(){return setUpDatabase(r)},r.onsuccess=function(){var e=r.result,o=e.transaction(INFO_STORE_NAME,\"readonly\"),a=o.objectStore(INFO_STORE_NAME).getAll();a.onsuccess=function(){for(var e={},n=0,r=a.result;n<r.length;n++){var o=r[n];e[o.modelPath]=o.modelArtifactsInfo}t(e)},a.onerror=function(t){return e.close(),n(a.error)},o.oncomplete=function(){return e.close()}},r.onerror=function(e){return n(r.error)}})]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(n){return e=maybeStripScheme(e),[2,new Promise(function(n,r){var o=t.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var t,a=o.result,i=a.transaction(INFO_STORE_NAME,\"readwrite\"),s=i.objectStore(INFO_STORE_NAME),u=s.get(e);u.onsuccess=function(){if(null==u.result)return a.close(),r(new Error(\"Cannot find model with path '\"+e+\"' in IndexedDB.\"));var o=s.delete(e),i=function(){var o=(t=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).delete(e);o.onsuccess=function(){return n(u.result.modelArtifactsInfo)},o.onerror=function(e){return r(u.error)}};o.onsuccess=i,o.onerror=function(e){return i(),a.close(),r(u.error)}},u.onerror=function(e){return a.close(),r(u.error)},i.oncomplete=function(){null==t?a.close():t.oncomplete=function(){return a.close()}}},o.onerror=function(e){return r(o.error)}})]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME,new BrowserIndexedDBManager)}catch(e){}var PATH_SEPARATOR=\"/\",PATH_PREFIX=\"tensorflowjs_models\",INFO_SUFFIX=\"info\",MODEL_TOPOLOGY_SUFFIX=\"model_topology\",WEIGHT_SPECS_SUFFIX=\"weight_specs\",WEIGHT_DATA_SUFFIX=\"weight_data\";function getModelKeys(e){return{info:[PATH_PREFIX,e,INFO_SUFFIX].join(PATH_SEPARATOR),topology:[PATH_PREFIX,e,MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),weightSpecs:[PATH_PREFIX,e,WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),weightData:[PATH_PREFIX,e,WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR)}}function getModelPathFromKey(e){var t=e.split(PATH_SEPARATOR);if(t.length<3)throw new Error(\"Invalid key format: \"+e);return t.slice(1,t.length-1).join(PATH_SEPARATOR)}function maybeStripScheme$1(e){return e.startsWith(BrowserLocalStorage.URL_SCHEME)?e.slice(BrowserLocalStorage.URL_SCHEME.length):e}var BrowserLocalStorage=function(){function e(e){if(!ENV.get(\"IS_BROWSER\")||void 0===window.localStorage)throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,null==e||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=getModelKeys(this.modelPath)}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o;return __generator(this,function(a){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),r=getModelArtifactsInfoForJSON(e);try{return this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,arrayBufferToBase64String(e.weightData)),[2,{modelArtifactsInfo:r}]}catch(e){for(o in this.keys)this.LS.removeItem(this.keys[o]);throw new Error(\"Failed to save model '\"+this.modelPath+\"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=\"+r.modelTopologyBytes+\", weightSpecsBytes=\"+r.weightSpecsBytes+\", weightDataBytes=\"+r.weightDataBytes+\".\")}return[2]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o;return __generator(this,function(a){if(null==(e=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error(\"In local storage, there is no model with name '\"+this.modelPath+\"'\");if(\"JSON\"!==e.modelTopologyType)throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");if(t={},null==(n=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error(\"In local storage, the topology of model '\"+this.modelPath+\"' is missing.\");if(t.modelTopology=n,null==(r=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error(\"In local storage, the weight specs of model '\"+this.modelPath+\"' are missing.\");if(t.weightSpecs=r,null==(o=this.LS.getItem(this.keys.weightData)))throw new Error(\"In local storage, the binary weight values of model '\"+this.modelPath+\"' are missing.\");return t.weightData=base64StringToArrayBuffer(o),[2,t]})})},e.URL_SCHEME=\"localstorage://\",e}(),localStorageRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserLocalStorage.URL_SCHEME)?browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)):null};function browserLocalStorage(e){return new BrowserLocalStorage(e)}IORouterRegistry.registerSaveRouter(localStorageRouter),IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager=function(){function e(){assert(ENV.get(\"IS_BROWSER\"),\"Current environment is not a web browser\"),assert(void 0!==window.localStorage,\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a;return __generator(this,function(i){for(e={},t=PATH_PREFIX+PATH_SEPARATOR,n=PATH_SEPARATOR+INFO_SUFFIX,r=0;r<this.LS.length;++r)(o=this.LS.key(r)).startsWith(t)&&o.endsWith(n)&&(a=getModelPathFromKey(o),e[a]=JSON.parse(this.LS.getItem(o)));return[2,e]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){if(e=maybeStripScheme$1(e),t=getModelKeys(e),null==this.LS.getItem(t.info))throw new Error(\"Cannot find model at path '\"+e+\"'\");return n=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,n]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME,new BrowserLocalStorageManager)}catch(e){}var DEFAULT_FILE_NAME_PREFIX=\"model\",DEFAULT_JSON_EXTENSION_NAME=\".json\",DEFAULT_WEIGHT_DATA_EXTENSION_NAME=\".weights.bin\",BrowserDownloads=function(){function e(t){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"triggerDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t=DEFAULT_FILE_NAME_PREFIX),this.modelTopologyFileName=t+DEFAULT_JSON_EXTENSION_NAME,this.weightDataFileName=t+DEFAULT_WEIGHT_DATA_EXTENSION_NAME}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i;return __generator(this,function(s){if(t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"})),e.modelTopology instanceof ArrayBuffer)throw new Error(\"DownloadTrigger.save() does not support saving model topology in binary formats yet.\");return n=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},o=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:\"application/json\"})),(a=null==this.jsonAnchor?document.createElement(\"a\"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=o,a.click(),null!=e.weightData&&((i=null==this.weightDataAnchor?document.createElement(\"a\"):this.weightDataAnchor).download=this.weightDataFileName,i.href=t,i.click()),[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e)}]})})},e.URL_SCHEME=\"downloads://\",e}(),BrowserFiles=function(){function e(e){if(null==e||e.length<1)throw new Error(\"When calling browserFiles, at least 1 file is required, but received \"+e);this.files=e}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n=this;return __generator(this,function(r){return e=this.files[0],t=this.files.slice(1),[2,new Promise(function(r,o){var a=new FileReader;a.onload=function(a){var i=JSON.parse(a.target.result),s=i.modelTopology;if(null!=s){0===t.length&&r({modelTopology:s});var u=i.weightsManifest;if(null!=u){var l;try{l=n.checkManifestAndWeightFiles(u,t)}catch(e){return void o(e)}var c=[],p=[],d=[];u.forEach(function(e){e.paths.forEach(function(e){p.push(e),d.push(null)}),c.push.apply(c,e.weights)}),u.forEach(function(e){e.paths.forEach(function(e){var t=new FileReader;t.onload=function(t){var n=t.target.result,o=p.indexOf(e);d[o]=n,-1===d.indexOf(null)&&r({modelTopology:s,weightSpecs:c,weightData:concatenateArrayBuffers(d)})},t.onerror=function(t){o(\"Failed to weights data from file of path '\"+e+\"'.\")},t.readAsArrayBuffer(l[e])})})}else o(new Error(\"weightManifest field is missing from file \"+e.name))}else o(new Error(\"modelTopology field is missing from file \"+e.name))},a.onerror=function(t){o(\"Failed to read model topology and weights manifest JSON from file '\"+e.name+\"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.\")},a.readAsText(e)})]})})},e.prototype.checkManifestAndWeightFiles=function(e,t){for(var n=[],r=t.map(function(e){return basename(e.name)}),o={},a=0,i=e;a<i.length;a++){i[a].paths.forEach(function(e){var a=basename(e);if(-1!==n.indexOf(a))throw new Error(\"Duplicate file basename found in weights manifest: '\"+a+\"'\");if(n.push(a),-1===r.indexOf(a))throw new Error(\"Weight file with basename '\"+a+\"' is not provided.\");o[e]=t[r.indexOf(a)]})}if(n.length!==t.length)throw new Error(\"Mismatch in the number of files in weights manifest (\"+n.length+\") and the number of weight files provided (\"+t.length+\").\");return o},e}(),browserDownloadsRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserDownloads.URL_SCHEME)?browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)):null};function browserDownloads(e){return void 0===e&&(e=\"model\"),new BrowserDownloads(e)}function browserFiles(e){return new BrowserFiles(e)}function loadWeightsAsArrayBuffer(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(o){switch(o.label){case 0:return n=e.map(function(e){return fetch(e,t)}),[4,Promise.all(n)];case 1:return r=o.sent(),[4,Promise.all(r.map(function(e){return e.arrayBuffer()}))];case 2:return[2,o.sent()]}})})}function loadWeights(e,t,n,r){return void 0===t&&(t=\"\"),__awaiter(this,void 0,void 0,function(){var o,a,i,s,u,l,c,p,d,h;return __generator(this,function(f){switch(f.label){case 0:if(o=e.map(function(){return!1}),a={},i=null!=n?n.map(function(){return!1}):[],s=[],e.forEach(function(e,t){var r=0;e.weights.forEach(function(e){var u=\"quantization\"in e?e.quantization.dtype:e.dtype,l=DTYPE_VALUE_SIZE_MAP[u]*sizeFromShape(e.shape),c=function(){o[t]=!0,null==a[t]&&(a[t]=[]),a[t].push({manifestEntry:e,groupOffset:r,sizeBytes:l})};null!=n?n.forEach(function(t,n){t===e.name&&(c(),i[n]=!0)}):c(),s.push(e.name),r+=l})}),!i.every(function(e){return e}))throw u=n.filter(function(e,t){return!i[t]}),new Error(\"Could not find weights in manifest with names: \"+u.join(\", \")+\". \\nManifest JSON has weights with names: \"+s.join(\", \")+\".\");return l=o.reduce(function(e,t,n){return t&&e.push(n),e},[]),c=[],l.forEach(function(n){e[n].paths.forEach(function(e){var n=t+(t.endsWith(\"/\")?\"\":\"/\")+e;c.push(n)})}),[4,loadWeightsAsArrayBuffer(c,r)];case 1:return p=f.sent(),d={},h=0,l.forEach(function(t){for(var n=e[t].paths.length,r=0,o=0;o<n;o++)r+=p[h+o].byteLength;for(var i=new ArrayBuffer(r),s=new Uint8Array(i),u=0,l=0;l<n;l++){var c=new Uint8Array(p[h+l]);s.set(c,u),u+=c.byteLength}a[t].forEach(function(e){var t=decodeWeights(i.slice(e.groupOffset,e.groupOffset+e.sizeBytes),[e.manifestEntry]);for(var n in t)d[n]=t[n]}),h+=n}),[2,d]}})})}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest=function(){function e(e,t){if(this.DEFAULT_METHOD=\"POST\",\"undefined\"==typeof fetch)throw new Error(\"browserHTTPRequest is not supported outside the web browser without a fetch polyfill.\");if(assert(null!=e&&e.length>0,\"URL path for browserHTTPRequest must not be null, undefined or empty.\"),Array.isArray(e)&&assert(2===e.length,\"URL paths for browserHTTPRequest must have a length of 2, (actual length is \"+e.length+\").\"),this.path=e,null!=t&&null!=t.body)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t||{}}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o;return __generator(this,function(a){switch(a.label){case 0:if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");return(t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,n=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},t.body.append(\"model.json\",new Blob([JSON.stringify(r)],{type:\"application/json\"}),\"model.json\"),null!=e.weightData&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:\"application/octet-stream\"}),\"model.weights.bin\"),[4,fetch(this.path,t)];case 1:if(200===(o=a.sent()).status)return[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e),responses:[o]}];throw new Error(\"BrowserHTTPRequest.save() failed due to HTTP response status \"+o.status+\".\")}})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,Array.isArray(this.path)?this.loadBinaryModel():this.loadJSONModel()]})})},e.prototype.loadBinaryTopology=function(){return __awaiter(this,void 0,void 0,function(){var e;return __generator(this,function(t){switch(t.label){case 0:return t.trys.push([0,3,,4]),[4,fetch(this.path[0],this.requestInit)];case 1:return[4,t.sent().arrayBuffer()];case 2:return[2,t.sent()];case 3:throw e=t.sent(),new Error(this.path[0]+\" not found. \"+e);case 4:return[2]}})})},e.prototype.loadBinaryModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return e=this.loadBinaryTopology(),[4,fetch(this.path[1],this.requestInit)];case 1:return t=u.sent(),[4,Promise.all([e,t])];case 2:return n=u.sent(),r=n[0],[4,n[1].json()];case 3:return null==(o=u.sent())?[3,5]:[4,this.loadWeights(o)];case 4:s=u.sent(),a=s[0],i=s[1],u.label=5;case 5:return[2,{modelTopology:r,weightSpecs:a,weightData:i}]}})})},e.prototype.loadJSONModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a,i;return __generator(this,function(s){switch(s.label){case 0:return[4,fetch(this.path,this.requestInit)];case 1:return[4,s.sent().json()];case 2:if(e=s.sent(),t=e.modelTopology,n=e.weightsManifest,null==t&&null==n)throw new Error(\"The JSON from HTTP path \"+this.path+\" contains neither model topology or manifest for weights.\");return null==n?[3,4]:(a=e.weightsManifest,[4,this.loadWeights(a)]);case 3:i=s.sent(),r=i[0],o=i[1],s.label=4;case 4:return[2,{modelTopology:t,weightSpecs:r,weightData:o}]}})})},e.prototype.loadWeights=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i,s,u,l;return __generator(this,function(c){switch(c.label){case 0:for(t=Array.isArray(this.path)?this.path[1]:this.path,n=[],r=0,o=e;r<o.length;r++)a=o[r],n.push.apply(n,a.weights);return(i=t.substring(0,t.lastIndexOf(\"/\"))).endsWith(\"/\")||(i+=\"/\"),s=[],e.forEach(function(e){e.paths.forEach(function(e){s.push(i+e)})}),u=[n],l=concatenateArrayBuffers,[4,loadWeightsAsArrayBuffer(s,this.requestInit)];case 1:return[2,u.concat([l.apply(void 0,[c.sent()])])]}})})},e.URL_SCHEME_REGEX=/^https?:\\/\\//,e}();function isHTTPScheme(e){return null!=e.match(BrowserHTTPRequest.URL_SCHEME_REGEX)}var httpRequestRouter=function(e){if(\"undefined\"==typeof fetch)return null;return(Array.isArray(e)?e.every(function(e){return isHTTPScheme(e)}):isHTTPScheme(e))?browserHTTPRequest(e):null};function browserHTTPRequest(e,t){return new BrowserHTTPRequest(e,t)}IORouterRegistry.registerSaveRouter(httpRequestRouter),IORouterRegistry.registerLoadRouter(httpRequestRouter);var PassthroughLoader=function(){function e(e,t,n){this.modelTopology=e,this.weightSpecs=t,this.weightData=n}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e;return __generator(this,function(t){return e={},null!=this.modelTopology&&(e=__assign({modelTopology:this.modelTopology},e)),null!=this.weightSpecs&&this.weightSpecs.length>0&&(e=__assign({weightSpecs:this.weightSpecs},e)),null!=this.weightData&&this.weightData.byteLength>0&&(e=__assign({weightData:this.weightData},e)),[2,e]})})},e}(),PassthroughSaver=function(){function e(e){this.saveHandler=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.saveHandler(e)]})})},e}();function fromMemory(e,t,n){return new PassthroughLoader(e,t,n)}function withSaveHandler(e){return new PassthroughSaver(e)}var registerSaveRouter=IORouterRegistry.registerSaveRouter,registerLoadRouter=IORouterRegistry.registerLoadRouter,getSaveHandlers=IORouterRegistry.getSaveHandlers,getLoadHandlers=IORouterRegistry.getLoadHandlers,io=Object.freeze({browserFiles:browserFiles,browserHTTPRequest:browserHTTPRequest,concatenateArrayBuffers:concatenateArrayBuffers,decodeWeights:decodeWeights,encodeWeights:encodeWeights,fromMemory:fromMemory,getLoadHandlers:getLoadHandlers,getModelArtifactsInfoForJSON:getModelArtifactsInfoForJSON,getSaveHandlers:getSaveHandlers,loadWeights:loadWeights,registerLoadRouter:registerLoadRouter,registerSaveRouter:registerSaveRouter,withSaveHandler:withSaveHandler,copyModel:copyModel,listModels:listModels,moveModel:moveModel,removeModel:removeModel}),Serializable=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),SerializationMap=function(){function e(){this.classNameMap={}}return e.getMap=function(){return null==e.instance&&(e.instance=new e),e.instance},e.register=function(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]},e}();function registerClass(e){assert(null!=e.className,\"Class being registered does not have the static className property defined.\"),assert(\"string\"==typeof e.className,\"className is required to be a string, but got type \"+typeof e.className),assert(e.className.length>0,\"Class being registered has an empty-string as its className, which is disallowed.\"),SerializationMap.register(e)}var serialization=Object.freeze({Serializable:Serializable,SerializationMap:SerializationMap,registerClass:registerClass}),WEBGL_ENVS={HAS_WEBGL:!0},NODE_ENVS={IS_NODE:!0},CHROME_ENVS={IS_CHROME:!0},BROWSER_ENVS={IS_BROWSER:!0},CPU_ENVS={HAS_WEBGL:!1},ALL_ENVS={};function expectArraysClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),e instanceof Tensor||t instanceof Tensor){if(e instanceof Tensor&&t instanceof Tensor){if(e.dtype!==t.dtype)throw new Error(\"Arrays are of different type actual: \"+e.dtype+\" vs expected: \"+t.dtype+\".\");if(!arraysEqual(e.shape,t.shape))throw new Error(\"Arrays are of different shape actual: \"+e.shape+\" vs expected: \"+t.shape+\".\")}}else{var r=e.constructor.name,o=t.constructor.name;if(r!==o)throw new Error(\"Arrays are of different type actual: \"+r+\" vs expected: \"+o)}var a,i;if(a=e instanceof Tensor?e.dataSync():e,i=t instanceof Tensor?t.dataSync():t,a.length!==i.length)throw new Error(\"Arrays have different lengths actual: \"+a.length+\" vs expected: \"+i.length+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\");for(var s=0;s<i.length;++s){var u=a[s],l=i[s];if(!areClose(u,Number(l),n))throw new Error(\"Arrays differ: actual[\"+s+\"] = \"+u+\", expected[\"+s+\"] = \"+l+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\")}}function expectPromiseToFail(e,t){e().then(function(){return t.fail()},function(){return t()})}function expectArraysEqual(e,t){return expectArraysClose(e,t,0)}function expectNumbersClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),!areClose(e,t,n))throw new Error(\"Numbers differ: actual === \"+e+\", expected === \"+t)}function areClose(e,t,n){return!(!isNaN(e)||!isNaN(t))||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function expectValuesInRange(e,t,n){var r;r=e instanceof Tensor?e.dataSync():e;for(var o=0;o<r.length;o++)if(r[o]<t||r[o]>n)throw new Error(\"Value out of range:\"+r[o]+\" low: \"+t+\", high: \"+n)}function expectArrayBuffersEqual(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}var test_util=Object.freeze({WEBGL_ENVS:WEBGL_ENVS,NODE_ENVS:NODE_ENVS,CHROME_ENVS:CHROME_ENVS,BROWSER_ENVS:BROWSER_ENVS,CPU_ENVS:CPU_ENVS,ALL_ENVS:ALL_ENVS,expectArraysClose:expectArraysClose,expectPromiseToFail:expectPromiseToFail,expectArraysEqual:expectArraysEqual,expectNumbersClose:expectNumbersClose,expectValuesInRange:expectValuesInRange,expectArrayBuffersEqual:expectArrayBuffersEqual}),version=\"0.13.0\",webgl=Object.freeze({gpgpu_util:gpgpu_util,webgl_util:webgl_util,MathBackendWebGL:MathBackendWebGL,GPGPUContext:GPGPUContext}),Optimizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.minimize=function(e,t,n){void 0===t&&(t=!1);var r=this.computeGradients(e,n),o=r.value,a=r.grads;return this.applyGradients(a),Object.keys(a).forEach(function(e){return a[e].dispose()}),t?o:(o.dispose(),null)},t.prototype.computeGradients=function(e,t){return variableGrads(e,t)},t}(Serializable),AdadeltaOptimizer=function(e){function t(t,n,r){void 0===r&&(r=null);var o=e.call(this)||this;return o.learningRate=t,o.rho=n,o.epsilon=r,o.accumulatedGrads={},o.accumulatedUpdates={},o.c=keep(scalar(-t)),o.rhoScalar=keep(scalar(n)),o.oneMinusRho=keep(scalar(1-n)),null===r&&(r=ENV.get(\"EPSILON\")),o.epsilonScalar=keep(scalar(r)),o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=zerosLike(o).variable(!1)})}if(null==r.accumulatedUpdates[n]){tidy(function(){t.accumulatedUpdates[n]=zerosLike(o).variable(!1)})}var a=e[n],i=r.accumulatedGrads[n],s=r.accumulatedUpdates[n];tidy(function(){var e=t.rhoScalar.mul(i).add(t.oneMinusRho.mul(a.square())),r=s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(a),u=t.rhoScalar.mul(s).add(t.oneMinusRho.mul(r.square()));t.accumulatedGrads[n].assign(e),t.accumulatedUpdates[n].assign(u);var l=t.c.mul(r).add(o);o.assign(l)})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.rhoScalar.dispose(),this.oneMinusRho.dispose(),null!=this.accumulatedUpdates&&(Object.keys(this.accumulatedUpdates).forEach(function(t){return e.accumulatedUpdates[t].dispose()}),Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t.className=\"AdadeltaOptimizer\",t}(Optimizer);registerClass(AdadeltaOptimizer);var AdagradOptimizer=function(e){function t(t,n){void 0===n&&(n=.1);var r=e.call(this)||this;return r.learningRate=t,r.initialAccumulatorValue=n,r.accumulatedGrads={},r.c=keep(scalar(-t)),r.epsilon=keep(scalar(ENV.get(\"EPSILON\"))),r}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=fill(o.shape,t.initialAccumulatorValue).variable(!1)})}var a=e[n],i=r.accumulatedGrads[n];tidy(function(){var e=i.add(a.square());t.accumulatedGrads[n].assign(e);var r=t.c.mul(a.div(e.add(t.epsilon).sqrt())).add(o);o.assign(r)})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){var e=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t.className=\"AdagradOptimizer\",t}(Optimizer);registerClass(AdagradOptimizer);var AdamOptimizer=function(e){function t(t,n,r,o){void 0===o&&(o=null);var a=e.call(this)||this;return a.learningRate=t,a.beta1=n,a.beta2=r,a.epsilon=o,a.accumulatedFirstMoment={},a.accumulatedSecondMoment={},a.c=keep(scalar(-t)),a.beta1Scalar=keep(scalar(n)),a.beta2Scalar=keep(scalar(r)),tidy(function(){a.accBeta1=scalar(n).variable(),a.accBeta2=scalar(r).variable()}),a.oneMinusBeta1=keep(scalar(1-n)),a.oneMinusBeta2=keep(scalar(1-r)),a.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),a.epsScalar=keep(scalar(o)),a}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.one.sub(t.accBeta2);for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedSecondMoment[o]){i=!1;t.accumulatedSecondMoment[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedSecondMoment[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),d=c.div(n),h=p.div(r);t.accumulatedFirstMoment[o].assign(c),t.accumulatedSecondMoment[o].assign(p);var f=t.c.mul(d.div(t.epsScalar.add(h.sqrt()))).add(a);a.assign(f)}t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)),t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.accBeta1.dispose(),this.accBeta2.dispose(),this.oneMinusBeta1.dispose(),this.oneMinusBeta2.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedSecondMoment&&Object.keys(this.accumulatedSecondMoment).forEach(function(t){return e.accumulatedSecondMoment[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t.className=\"AdamOptimizer\",t}(Optimizer);registerClass(AdamOptimizer);var AdamaxOptimizer=function(e){function t(t,n,r,o,a){void 0===o&&(o=null),void 0===a&&(a=0);var i=e.call(this)||this;return i.learningRate=t,i.beta1=n,i.beta2=r,i.epsilon=o,i.decay=a,i.accumulatedFirstMoment={},i.accumulatedWeightedInfNorm={},i.c=keep(scalar(-t)),i.beta1Scalar=keep(scalar(n)),i.beta2Scalar=keep(scalar(r)),i.decayScalar=keep(scalar(a)),tidy(function(){i.iteration=scalar(0).variable(),i.accBeta1=scalar(n).variable()}),i.oneMinusBeta1=keep(scalar(1-n)),i.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),i.epsScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedWeightedInfNorm[o]){i=!1;t.accumulatedWeightedInfNorm[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedWeightedInfNorm[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l),d=s.abs(),h=p.maximum(d);t.accumulatedFirstMoment[o].assign(c),t.accumulatedWeightedInfNorm[o].assign(h);var f=r.div(n).mul(c.div(t.epsScalar.add(h))).add(a);a.assign(f)}t.iteration.assign(t.iteration.add(t.one)),t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.accBeta1.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.oneMinusBeta1.dispose(),this.decayScalar.dispose(),this.iteration.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedWeightedInfNorm&&Object.keys(this.accumulatedWeightedInfNorm).forEach(function(t){return e.accumulatedWeightedInfNorm[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t.className=\"AdamaxOptimizer\",t}(Optimizer);registerClass(AdamaxOptimizer);var SGDOptimizer=function(e){function t(t){var n=e.call(this)||this;return n.learningRate=t,n.setLearningRate(t),n}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;Object.keys(e).forEach(function(n){var r=e[n],o=ENV.engine.registeredVariables[n];tidy(function(){var e=t.c.mul(r).add(o);o.assign(e)})})},t.prototype.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=keep(scalar(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t.className=\"SGDOptimizer\",t}(Optimizer);registerClass(SGDOptimizer);var MomentumOptimizer=function(e){function t(t,n,r){void 0===r&&(r=!1);var o=e.call(this,t)||this;return o.learningRate=t,o.momentum=n,o.useNesterov=r,o.m=scalar(o.momentum),o.accumulations={},o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulations[n]){tidy(function(){t.accumulations[n]=zerosLike(o).variable(!1)})}var a=r.accumulations[n],i=e[n];tidy(function(){var e,r=t.m.mul(a).add(i);e=t.useNesterov?t.c.mul(i.add(r.mul(t.m))).add(o):t.c.mul(r).add(o),t.accumulations[n].assign(r),o.assign(e)})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){if(e.prototype.dispose.call(this),this.m.dispose(),null!=this.accumulations)for(var t in this.accumulations)this.accumulations[t].dispose()},t.prototype.setMomentum=function(e){this.momentum=e},t.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)},t.className=\"MomentumOptimizer\",t}(SGDOptimizer);registerClass(MomentumOptimizer);var RMSPropOptimizer=function(e){function t(t,n,r,o,a){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===o&&(o=null),void 0===a&&(a=!1);var i=e.call(this)||this;return i.learningRate=t,i.decay=n,i.momentum=r,i.epsilon=o,i.accumulatedMeanSquares={},i.accumulatedMeanGrads={},i.accumulatedMoments={},i.c=keep(scalar(t)),i.decayScalar=keep(scalar(n)),i.momentumScalar=keep(scalar(r)),i.oneMinusDecay=keep(scalar(1-n)),i.centered=a,null===o&&(o=ENV.get(\"EPSILON\")),i.epsilonScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulatedMeanSquares[n]){tidy(function(){t.accumulatedMeanSquares[n]=zerosLike(o).variable(!1)})}if(null==r.accumulatedMeanGrads[n]&&r.centered){tidy(function(){t.accumulatedMeanGrads[n]=zerosLike(o).variable(!1)})}if(null==r.accumulatedMoments[n]){tidy(function(){t.accumulatedMoments[n]=zerosLike(o).variable(!1)})}var a=r.accumulatedMeanSquares[n],i=r.accumulatedMeanGrads[n],s=r.accumulatedMoments[n],u=e[n];tidy(function(){var e=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));if(t.centered){var r=t.decayScalar.mul(i).add(t.oneMinusDecay.mul(u)),l=t.momentumScalar.mul(s).add(t.c.mul(u).div(e.sub(r.square().add(t.epsilonScalar)).sqrt()));t.accumulatedMeanSquares[n].assign(e),t.accumulatedMeanGrads[n].assign(r),t.accumulatedMoments[n].assign(l);var c=o.sub(l);o.assign(c)}else{var p=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));l=t.momentumScalar.mul(s).add(t.c.mul(u).div(p.add(t.epsilonScalar).sqrt()));t.accumulatedMeanSquares[n].assign(p),t.accumulatedMoments[n].assign(l);c=o.sub(l);o.assign(c)}})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.decayScalar.dispose(),this.momentumScalar.dispose(),this.oneMinusDecay.dispose(),null!=this.accumulatedMeanSquares&&Object.keys(this.accumulatedMeanSquares).forEach(function(t){return e.accumulatedMeanSquares[t].dispose()}),null!=this.accumulatedMeanGrads&&this.centered&&Object.keys(this.accumulatedMeanGrads).forEach(function(t){return e.accumulatedMeanGrads[t].dispose()}),null!=this.accumulatedMoments&&Object.keys(this.accumulatedMoments).forEach(function(t){return e.accumulatedMoments[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},t.fromConfig=function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)},t.className=\"RMSPropOptimizer\",t}(Optimizer);registerClass(RMSPropOptimizer);var OptimizerConstructors=function(){function e(){}return e.sgd=function(e){return new SGDOptimizer(e)},e.momentum=function(e,t,n){return void 0===n&&(n=!1),new MomentumOptimizer(e,t,n)},e.rmsprop=function(e,t,n,r,o){return void 0===t&&(t=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===o&&(o=!1),new RMSPropOptimizer(e,t,n,r,o)},e.adam=function(e,t,n,r){return void 0===e&&(e=.001),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new AdamOptimizer(e,t,n,r)},e.adadelta=function(e,t,n){return void 0===e&&(e=.001),void 0===t&&(t=.95),void 0===n&&(n=null),new AdadeltaOptimizer(e,t,n)},e.adamax=function(e,t,n,r,o){return void 0===e&&(e=.002),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===o&&(o=0),new AdamaxOptimizer(e,t,n,r,o)},e.adagrad=function(e,t){return void 0===t&&(t=.1),new AdagradOptimizer(e,t)},e}(),train={sgd:OptimizerConstructors.sgd,momentum:OptimizerConstructors.momentum,adadelta:OptimizerConstructors.adadelta,adagrad:OptimizerConstructors.adagrad,rmsprop:OptimizerConstructors.rmsprop,adamax:OptimizerConstructors.adamax,adam:OptimizerConstructors.adam},setBackend=Environment.setBackend,getBackend=Environment.getBackend,disposeVariables=Environment.disposeVariables,memory=Environment.memory;setOpHandler(ops);export{setBackend,getBackend,disposeVariables,memory,version as version_core,nextFrame,environment,io,serialization,test_util,util,webgl,AdadeltaOptimizer,AdagradOptimizer,AdamOptimizer,AdamaxOptimizer,MomentumOptimizer,Optimizer,RMSPropOptimizer,SGDOptimizer,Tensor,TensorBuffer,variable,Variable,Rank,Reduction,ENV,Environment,image_ops as image,linalg_ops as linalg,loss_ops as losses,op,batchNormalization2d,batchNormalization3d,batchNormalization4d,batchNormalization,complex,real,imag,concat,concat1d,concat2d,concat3d,concat4d,split$1 as split,conv1d,conv2d,depthwiseConv2d,separableConv2d,conv2dTranspose,matMul,dot,outerProduct,reverse,reverse1d,reverse2d,reverse3d,reverse4d,maxPool,avgPool,slice,slice1d,slice2d,slice3d,slice4d,abs,acos,acosh,asin,asinh,atan,atanh,ceil,clipByValue,cos,cosh,erf,exp,expm1,floor,log$1 as log,log1p,logSigmoid,neg,reciprocal,round,rsqrt,sigmoid,sign,sin,sinh,softplus,sqrt,square,step,tan,tanh$1 as tanh,all,any,argMax,argMin,logSumExp,max,mean,min,moments,sum,equal,equalStrict,greater,greaterEqual,greaterEqualStrict,greaterStrict,less,lessEqual,lessEqualStrict,lessStrict,notEqual,notEqualStrict,add,addN,addStrict,atan2,div,divStrict,floorDiv,maximum,maximumStrict,minimum,minimumStrict,mod,modStrict,mul,mulStrict,pow,powStrict,squaredDifference,squaredDifferenceStrict,sub,subStrict,elu,leakyRelu,prelu,relu,selu,logicalAnd,logicalNot,logicalOr,logicalXor,where,whereAsync,buffer,toPixels,print,batchToSpaceND,cast,clone,cumsum,depthToSpace,expandDims,eye,fromPixels,multinomial,oneHot,pad,pad1d,pad2d,pad3d,pad4d,rand,randomNormal,randomUniform,reshape,spaceToBatchND,squeeze,stack,tile,truncatedNormal,unstack,fill,linspace,ones$1 as ones,range,scalar,tensor,tensor1d,tensor2d,tensor3d,tensor4d,tensor5d,tensor6d,zeros,onesLike,zerosLike,transpose,softmax,localResponseNormalization,norm,gather,unsortedSegmentSum,basicLSTMCell,multiRNNCell,movingAverage,stridedSlice,topk,train,tidy,keep,dispose,time,profile,customGrad,grad,grads,valueAndGrad,valueAndGrads,variableGrads};\n//# sourceMappingURL=tf-core.esm.js.map\n","var global = require('./_global');\nvar core = require('./_core');\nvar hide = require('./_hide');\nvar redefine = require('./_redefine');\nvar ctx = require('./_ctx');\nvar PROTOTYPE = 'prototype';\n\nvar $export = function (type, name, source) {\n  var IS_FORCED = type & $export.F;\n  var IS_GLOBAL = type & $export.G;\n  var IS_STATIC = type & $export.S;\n  var IS_PROTO = type & $export.P;\n  var IS_BIND = type & $export.B;\n  var target = IS_GLOBAL ? global : IS_STATIC ? global[name] || (global[name] = {}) : (global[name] || {})[PROTOTYPE];\n  var exports = IS_GLOBAL ? core : core[name] || (core[name] = {});\n  var expProto = exports[PROTOTYPE] || (exports[PROTOTYPE] = {});\n  var key, own, out, exp;\n  if (IS_GLOBAL) source = name;\n  for (key in source) {\n    // contains in native\n    own = !IS_FORCED && target && target[key] !== undefined;\n    // export native or passed\n    out = (own ? target : source)[key];\n    // bind timers to global for call from export context\n    exp = IS_BIND && own ? ctx(out, global) : IS_PROTO && typeof out == 'function' ? ctx(Function.call, out) : out;\n    // extend global\n    if (target) redefine(target, key, out, type & $export.U);\n    // export\n    if (exports[key] != out) hide(exports, key, exp);\n    if (IS_PROTO && expProto[key] != out) expProto[key] = out;\n  }\n};\nglobal.core = core;\n// type bitmap\n$export.F = 1;   // forced\n$export.G = 2;   // global\n$export.S = 4;   // static\n$export.P = 8;   // proto\n$export.B = 16;  // bind\n$export.W = 32;  // wrap\n$export.U = 64;  // safe\n$export.R = 128; // real proto method for `library`\nmodule.exports = $export;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{ENV,keep,scalar,tidy,onesLike,tensor1d,util,where,zerosLike,train,cast,serialization,nextFrame,add,mul,div,Tensor,Optimizer,mean,io,transpose,reverse,concat,zeros,dispose,sum,neg,variable,ones,eye,randomUniform,truncatedNormal,randomNormal,sub,sqrt,mulStrict,clipByValue,relu,linalg,leakyRelu,elu,conv1d,conv2d,conv2dTranspose,separableConv2d,depthwiseConv2d,maximum,minimum,batchNormalization2d,batchNormalization3d,batchNormalization4d,moments,movingAverage,pad,maxPool,avgPool,squeeze,max,abs,log,softplus,softmax,floor,oneHot,exp,greater,equal,argMax,logicalAnd,slice1d,slice2d,slice3d,slice4d,concat1d,concat2d,concat3d,concat4d,tile,matMul,gather,step,min,selu,sigmoid,tanh}from\"@tensorflow/tfjs-core\";var extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}var __assign=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e};function __awaiter(e,t,n,r){return new(n||(n=Promise))(function(i,a){function o(e){try{l(r.next(e))}catch(e){a(e)}}function s(e){try{l(r.throw(e))}catch(e){a(e)}}function l(e){e.done?i(e.value):new n(function(t){t(e.value)}).then(o,s)}l((r=r.apply(e,t||[])).next())})}function __generator(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;o;)try{if(n=1,r&&(i=r[2&a[0]?\"return\":a[0]?\"throw\":\"next\"])&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[0,i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var _epsilon=ENV.get(\"EPSILON\");function epsilon(){return _epsilon}function imageDataFormat(){return\"channelsLast\"}var _nextUniqueTensorId=0;function getNextUniqueTensorId(){return _nextUniqueTensorId++}var _uidPrefixes={};function getUid(e){return void 0===e&&(e=\"\"),e in _uidPrefixes||(_uidPrefixes[e]=0),_uidPrefixes[e]+=1,e+_uidPrefixes[e].toString()}var scalarCache={float32:{},int32:{}},DEFAULT_DTYPE=\"float32\";function getScalar(e,t){return void 0===t&&(t=DEFAULT_DTYPE),null==scalarCache[t][e]&&(scalarCache[t][e]=scalar(e,t),keep(scalarCache[t][e])),scalarCache[t][e]}var AttributeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),RuntimeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),ValueError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),NotImplementedError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),AssertionError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),IndexError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error);function pyListRepeat(e,t){if(Array.isArray(e)){for(var n=[],r=0;r<t;r++)n=n.concat(e);return n}return(n=new Array(t)).fill(e),n}function assert(e,t){if(!e)throw new AssertionError(t)}function count(e,t){for(var n=0,r=0,i=e;r<i.length;r++){i[r]===t&&n++}return n}function singletonOrArray(e){return 1===e.length?e[0]:e}function toList(e){return Array.isArray(e)?e:[e]}function toSnakeCase(e){var t=e.replace(/(.)([A-Z][a-z0-9]+)/g,\"$1_$2\").replace(/([a-z])([A-Z])/g,\"$1_$2\").toLowerCase();return\"_\"!==t[0]?t:\"private\"+t}function toCamelCase(e){return e.length<=1?e:-1===e.indexOf(\"_\")?e:e.replace(/[_]+(\\w|$)/g,function(e,t){return t.toUpperCase()})}var _GLOBAL_CUSTOM_OBJECTS={};function serializeKerasObject(e){return null===e||void 0===e?null:{className:e.getClassName(),config:e.getConfig()}}function deserializeKerasObject(e,t,n,r){if(void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r=\"object\"),\"string\"==typeof e){var i=e,a=void 0;if(i in n)a=n[i];else if(i in _GLOBAL_CUSTOM_OBJECTS)a=_GLOBAL_CUSTOM_OBJECTS[i];else if(null==(a=t[i]))throw new ValueError(\"Unknown \"+r+\": \"+e+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");return a}var o=e;if(null==o.className||null==o.config)throw new ValueError(r+\": Improper config format: \"+JSON.stringify(o)+\".\\n'className' and 'config' must set.\");var s=o.className,l=void 0,u=void 0;if(s in n?(l=(S=n.get(s))[0],u=S[1]):s in _GLOBAL_CUSTOM_OBJECTS?(l=(A=_GLOBAL_CUSTOM_OBJECTS.className)[0],u=A[1]):s in t&&(l=(I=t[s])[0],u=I[1]),null==l)throw new ValueError(\"Unknown \"+r+\": \"+s+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");if(null!=u){for(var c={},p=0,h=Object.keys(_GLOBAL_CUSTOM_OBJECTS);p<h.length;p++){c[v=h[p]]=_GLOBAL_CUSTOM_OBJECTS[v]}for(var d=0,g=Object.keys(n);d<g.length;d++){c[v=g[d]]=n[v]}o.config.customObjects=c;for(var f=__assign({},_GLOBAL_CUSTOM_OBJECTS),m=0,y=Object.keys(n);m<y.length;m++){var v=y[m];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var b=u(l,o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},f),b}f=__assign({},_GLOBAL_CUSTOM_OBJECTS);for(var w=0,z=Object.keys(n);w<z.length;w++){v=z[w];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var S,A,I;b=new l(o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},f),b}function numberCompare(e,t){return e<t?-1:e>t?1:0}function reverseNumberCompare(e,t){return-1*numberCompare(e,t)}function stringToDType(e){switch(e){case\"float32\":return\"float32\";default:throw new ValueError(\"Invalid dtype: \"+e)}}function unique(e){if(null==e)return e;for(var t=[],n=0,r=e;n<r.length;n++){var i=r[n];-1===t.indexOf(i)&&t.push(i)}return t}function isObjectEmpty(e){if(null==e)throw new ValueError(\"Invalid value in obj: \"+JSON.stringify(e));for(var t in e)if(e.hasOwnProperty(t))return!1;return!0}function checkStringTypeUnionValue(e,t,n){if(null!=n&&e.indexOf(n)<0)throw new ValueError(n+\" is not a valid \"+t+\".  Valid values are \"+e+\" or null/undefined.\")}function checkArrayTypeAndLength(e,t,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),assert(n>=0),assert(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(function(e){return typeof e===t})}function calcL2Norms(e,t){return tidy(function(){return sqrt(sum(mulStrict(e,e),t,!0))})}var Constraint=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),MaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=clipByValue(n,0,t.maxValue);return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t.className=\"MaxNorm\",t}(Constraint);serialization.registerClass(MaxNorm);var UnitNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultAxis=0,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){return div(e,add(getScalar(epsilon()),calcL2Norms(e,t.axis)))})},t.prototype.getConfig=function(){return{axis:this.axis}},t.className=\"UnitNorm\",t}(Constraint);serialization.registerClass(UnitNorm);var NonNeg=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"NonNeg\",t}(Constraint);serialization.registerClass(NonNeg);var MinMaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=add(mul(getScalar(t.rate),clipByValue(n,t.minValue,t.maxValue)),mul(getScalar(1-t.rate),n));return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t.className=\"MinMaxNorm\",t}(Constraint);serialization.registerClass(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function serializeConstraint(e){return serializeKerasObject(e)}function deserializeConstraint(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"constraint\")}function getConstraint(e){return null==e?null:\"string\"==typeof e?deserializeConstraint({className:e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP?CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Constraint?e:deserializeConstraint(e)}function maxNorm(e){return new MaxNorm(e)}function unitNorm(e){return new UnitNorm(e)}function nonNeg(){return new NonNeg}function minMaxNorm(e){return new MinMaxNorm(e)}var exports_constraints=Object.freeze({maxNorm:maxNorm,unitNorm:unitNorm,nonNeg:nonNeg,minMaxNorm:minMaxNorm}),nameMap=new Map,VALID_DATA_FORMAT_VALUES=[\"channelsFirst\",\"channelsLast\"];function checkDataFormat(e){checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES,\"DataFormat\",e)}var VALID_PADDING_MODE_VALUES=[\"valid\",\"same\",\"causal\"];function checkPaddingMode(e){checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES,\"PaddingMode\",e)}var VALID_POOL_MODE_VALUES=[\"max\",\"avg\"];function checkPoolMode(e){checkStringTypeUnionValue(VALID_POOL_MODE_VALUES,\"PoolMode\",e)}var _nameScopeStack=[],_nameScopeDivider=\"/\";function nameScope(e,t){_nameScopeStack.push(e);try{var n=t();return _nameScopeStack.pop(),n}catch(e){throw _nameScopeStack.pop(),e}}function currentNameScopePrefix(){return 0===_nameScopeStack.length?\"\":_nameScopeStack.join(_nameScopeDivider)+_nameScopeDivider}function getScopedTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");return currentNameScopePrefix()+e}function getUniqueTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");nameMap.has(e)||nameMap.set(e,0);var t=nameMap.get(e);if(nameMap.set(e,nameMap.get(e)+1),t>0){var n=e+\"_\"+t;return nameMap.set(n,1),n}return e}var tensorNameRegex=new RegExp(/^[A-Za-z][A-Za-z0-9\\._\\/]*$/);function isValidTensorName(e){return!!e.match(tensorNameRegex)}function isInteger(e){return e===parseInt(e.toString(),10)}function arrayProd(e,t,n){null==t&&(t=0),null==n&&(n=e.length);for(var r=1,i=t;i<n;++i)r*=e[i];return r}function toArray1D(e){return e=Array.isArray(e)?new Float32Array(e):e,tensor1d(e)}function min$1(e){return min(toArray1D(e)).dataSync()[0]}function max$1(e){return max(toArray1D(e)).dataSync()[0]}function range(e,t){if(t<e)throw new ValueError(\"end (\"+t+\") < begin (\"+e+\") is forbidden.\");for(var n=[],r=e;r<t;++r)n.push(r);return n}function cast$1(e,t){return e.asType(t)}function expandDims(e,t){void 0===t&&(t=-1);var n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),e.reshape(n)}function repeat(e,t){return tidy(function(){if(2!==e.shape.length)throw new ValueError(\"repeat() expects a rank-2 tensor, but received a rank-\"+e.shape.length+\" tensor.\");return tile$1(expandDims(e,1),[1,t,1])})}function flatten(e){var t=[arrayProd(e.shape)];return e.reshape(t)}function batchFlatten(e){if(e.rank<=1)throw new ValueError(\"batchFlatten requires a minimum rank of 2. Got rank: \"+e.rank+\".\");var t=[e.shape[0],arrayProd(e.shape,1)];return e.reshape(t)}function sliceAlongFirstAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[t,0],[n,e.shape[1]]);case 3:return slice3d(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return slice4d(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);default:throw new ValueError(\"sliceAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongLastAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[0,t],[e.shape[0],n]);case 3:return slice3d(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return slice4d(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongAxis(e,t,n,r){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 3:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice3d(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 4:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice4d(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return slice4d(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function concatenate(e,t){var n;return void 0===t&&(t=-1),t<0&&(t=0!==(n=e[0].rank)?n:0),t===e[0].rank&&(t=-1),concat(e,t)}function concatAlongFirstAxis(e,t){switch(e.rank){case 1:return concat1d([e,t]);case 2:return concat2d([e,t],0);case 3:return concat3d([e,t],0);case 4:return concat4d([e,t],0);default:throw new ValueError(\"concatAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}}function tile$1(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new ValueError(\"The length of input n (\"+t.length+\") does not match the number of dimensions in input x (\"+e.rank+\")\");return tile(e,t)}function randomNormal$1(e,t,n,r,i){return void 0===t&&(t=0),void 0===n&&(n=1),randomNormal(e,t,n,r,i)}function dot(e,t){if(e.rank<2||t.rank<2)throw new NotImplementedError(\"dot requires both inputs to be rank >= 2 but got x shape = \"+e.shape+\" and y shape = \"+t.shape);if(t.rank>=3&&(r=e.shape.slice(-1)[0])!==(o=t.shape.slice(-2)[0]))throw new NotImplementedError(\"If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = \"+e.shape+\" and  y shape = \"+t.shape);if(2===e.rank&&2===t.rank)return matMul(e,t);var n=e.shape.slice(),r=n.pop();e=e.reshape([-1,r]);var i=t.shape.slice(),a=i.pop(),o=i.pop(),s=i.concat([a]),l=Array.from({length:t.rank},function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n});t=t.transpose(l).reshape([o,-1]);var u=n.concat(s);return matMul(e,t).reshape(u)}function gather$1(e,t,n){return tidy(function(){return t=Array.isArray(t)?tensor1d(t,\"int32\"):t.toInt(),gather(e,t,n)})}function square(e){return mulStrict(e,e)}function biasAdd(e,t,n){return tidy(function(){if(null==n&&(n=imageDataFormat()),checkDataFormat(n),1!==t.rank&&t.rank!==e.rank)throw new ValueError(\"Unexpected bias dimensions: \"+t.rank+\"; expected it to be 1 or \"+e.rank);var r,i=t.shape;if(5===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1,1])):e.add(t.reshape([1,i[3],i[0],i[1],i[2]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(4===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1])):e.add(t.reshape([1,i[2],i[0],i[1]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(3===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1])):e.add(t.reshape([1,i[1],i[0]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,i[0]])):e.add(t.reshape([1].concat(i))));else{if(!(e.rank<3))throw new ValueError(\"Unsupported input rank by biasAdd: \"+e.rank);r=e.add(t)}return r})}function elu$1(e,t){if(void 0===t&&(t=1),1!==t)throw new NotImplementedError(\"Support for alpha values other than 1 (\"+t+\") is not implemented yet.\");return elu(e)}function softsign(e){return tidy(function(){return div(e,add(getScalar(1),abs(e)))})}function dropout(e,t,n,r){return tidy(function(){if(null!=n&&!util.arraysEqual(e.shape,n))throw new NotImplementedError(\"Non-default noise shape is not implemented yet: \"+JSON.stringify(n));if(null!=r)throw new NotImplementedError(\"seed is not implemented for dropout yet.\");var i=step(add(neg(t),randomUniform(e.shape,0,1,\"float32\")));return i=mul(div(getScalar(1),sub(getScalar(1),t)),i),mul(e,i)})}function hardSigmoid(e){return tidy(function(){var t=add(getScalar(.5),mul(getScalar(.2),e));return clipByValue(t,0,1)})}function inTrainPhase(e,t,n){return void 0===n&&(n=!1),n?e():t()}var VALID_FAN_MODE_VALUES=[\"fanIn\",\"fanOut\",\"fanAvg\"];function checkFanMode(e){checkStringTypeUnionValue(VALID_FAN_MODE_VALUES,\"FanMode\",e)}var VALID_DISTRIBUTION_VALUES=[\"normal\",\"uniform\"];function checkDistribution(e){checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES,\"Distribution\",e)}var Initializer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.fromConfigUsesCustomObjects=function(){return!1},t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Zeros=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return zeros(e,t)},t.className=\"Zeros\",t}(Initializer);serialization.registerClass(Zeros);var Ones=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return ones(e,t)},t.className=\"Ones\",t}(Initializer);serialization.registerClass(Ones);var Constant=function(e){function t(t){var n=e.call(this)||this;if(\"object\"!=typeof t)throw new ValueError(\"Expected argument of type ConstantConfig but got \"+t);if(void 0===t.value)throw new ValueError(\"config must have value set but got \"+t);return n.value=t.value,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){return mul(scalar(n.value),ones(e,t))})},t.prototype.getConfig=function(){return{value:this.value}},t.className=\"Constant\",t}(Initializer);serialization.registerClass(Constant);var RandomUniform=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=t.minval||n.DEFAULT_MINVAL,n.maxval=t.maxval||n.DEFAULT_MAXVAL,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){return randomUniform(e,this.minval,this.maxval,t)},t.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t.className=\"RandomUniform\",t}(Initializer);serialization.registerClass(RandomUniform);var RandomNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"randomNormal does not support dType \"+t+\".\");return randomNormal$1(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"RandomNormal\",t}(Initializer);serialization.registerClass(RandomNormal);var TruncatedNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"truncatedNormal does not support dType \"+t+\".\");return truncatedNormal(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"TruncatedNormal\",t}(Initializer);serialization.registerClass(TruncatedNormal);var Identity=function(e){function t(t){var n=e.call(this)||this;return n.gain=null!=t.gain?scalar(t.gain):getScalar(1),n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length||e[0]!==e[1])throw new ValueError(\"Identity matrix initializer can only be used for 2D square matrices.\");return mul(n.gain,eye(e[0]))})},t.prototype.getConfig=function(){return{gain:this.gain.get()}},t.className=\"Identity\",t}(Initializer);function computeFans(e,t){var n,r;if(void 0===t&&(t=\"channelsLast\"),checkDataFormat(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if(\"channelsFirst\"===t){var i=arrayProd(e,2);n=e[1]*i,r=e[0]*i}else if(\"channelsLast\"===t){i=arrayProd(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var a=arrayProd(e);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}serialization.registerClass(Identity);var VarianceScaling=function(e){function t(t){var n=e.call(this)||this;if(t.scale<0)throw new ValueError(\"scale must be a positive float. Got: \"+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=t.mode,checkFanMode(n.mode),n.distribution=t.distribution,checkDistribution(n.distribution),n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=computeFans(e),r=n[0],i=n[1],a=this.scale;if(\"fanIn\"===this.mode?a/=Math.max(1,r):\"fanOut\"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),\"normal\"===this.distribution){var o=Math.sqrt(a);if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(this.getClassName()+\" does not support dType \"+t+\".\");return truncatedNormal(e,0,o,t,this.seed)}var s=Math.sqrt(3*a);return randomUniform(e,-s,s,t)},t.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t.className=\"VarianceScaling\",t}(Initializer);serialization.registerClass(VarianceScaling);var GlorotUniform=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),GlorotNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),HeNormal=function(e){function t(t){return e.call(this,{scale:2,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),LeCunNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),Orthogonal=function(e){function t(t){var n=e.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Random seed is not implemented for Orthogonal Initializer yet.\");return n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length)throw new NotImplementedError(\"The Orthogonal Initializer does not support non-2D shapes yet.\");e[0]*e[1]>2e3&&console.warn(\"Orthogonal initializer is being called on a matrix with more than 2000 (\"+e[0]*e[1]+\") elements: Slowness may result.\");var t=randomNormal$1(e[0]>e[1]?[e[1],e[0]]:e,0,1,\"float32\"),r=linalg.gramSchmidt(t);return e[0]>e[1]&&(r=r.transpose()),mul(getScalar(n.gain),r)})},t.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},t.className=\"Orthogonal\",t}(Initializer);serialization.registerClass(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function deserializeInitializer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"initializer\")}function serializeInitializer(e){return serializeKerasObject(e)}function getInitializer(e){if(\"string\"==typeof e){var t=e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e;return\"GlorotUniform\"===t?new GlorotUniform:\"GlorotNormal\"===t?new GlorotNormal:\"HeNormal\"===t?new HeNormal:\"LeCunNormal\"===t?new LeCunNormal:deserializeInitializer({className:t,config:{}})}return e instanceof Initializer?e:deserializeInitializer(e)}function zeros$1(){return new Zeros}function ones$1(){return new Ones}function constant(e){return new Constant(e)}function randomUniform$1(e){return new RandomUniform(e)}function randomNormal$2(e){return new RandomNormal(e)}function truncatedNormal$1(e){return new TruncatedNormal(e)}function identity(e){return new Identity(e)}function varianceScaling(e){return new VarianceScaling(e)}function glorotUniform(e){return new GlorotUniform(e)}function glorotNormal(e){return new GlorotNormal(e)}function heNormal(e){return new HeNormal(e)}function leCunNormal(e){return new LeCunNormal(e)}function orthogonal(e){return new Orthogonal(e)}var exports_initializers=Object.freeze({zeros:zeros$1,ones:ones$1,constant:constant,randomUniform:randomUniform$1,randomNormal:randomNormal$2,truncatedNormal:truncatedNormal$1,identity:identity,varianceScaling:varianceScaling,glorotUniform:glorotUniform,glorotNormal:glorotNormal,heNormal:heNormal,leCunNormal:leCunNormal,orthogonal:orthogonal});function isArrayOfShapes(e){return Array.isArray(e)&&Array.isArray(e[0])}function normalizeShapeList(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function getExactlyOneTensor(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new ValueError(\"Expected Tensor length to be 1; got \"+e.length);t=e[0]}else t=e;return t}function getExactlyOneShape(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new ValueError(\"Expected exactly 1 Shape; got \"+e.length)}return e}function countParamsInWeights(e){for(var t=0,n=0,r=e;n<r.length;n++){var i=r[n];0===i.shape.length?t+=1:t+=i.shape.reduce(function(e,t){return e*t})}return t}var DEFAULT_VARIABLE_NAME_PREFIX=\"Variable\",LayerVariable=function(){function e(e,t,n,r,i){void 0===t&&(t=\"float32\"),void 0===n&&(n=DEFAULT_VARIABLE_NAME_PREFIX),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==t?\"float32\":t,this.shape=e.shape,this.id=getNextUniqueTensorId(),n=null==n?DEFAULT_VARIABLE_NAME_PREFIX:n,this.originalName=getScopedTensorName(n),this.name=getUniqueTensorName(this.originalName),this.trainable=r,this.constraint=i,this.val=variable(e,this.trainable,this.name,this.dtype)}return e.prototype.read=function(){return this.assertNotDisposed(),this.val},e.prototype.write=function(e){return this.assertNotDisposed(),checkShapesMatch(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},e.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},e.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error(\"LayersVariable \"+this.name+\" is already disposed.\")},e}();function checkShapesMatch(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(e.shape)+\" vs. \"+JSON.stringify(t.shape))}function batchGetValue(e){return e.map(function(e){return e.read()})}function batchSetValue(e){e.map(function(e){e[0].write(e[1])})}var InputSpec=function(){return function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}(),SymbolicTensor=function(){return function(e,t,n,r,i,a,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=o,this.id=getNextUniqueTensorId(),null!=a&&(this.originalName=getScopedTensorName(a),this.name=getUniqueTensorName(this.originalName)),this.rank=t.length}}(),_nextNodeID=0,Node=function(){function e(e,t){this.callArgs=t,this.id=_nextNodeID++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n=0,r=e.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e=[],t=0,n=this.inboundLayers;t<n.length;t++){var r=n[t];null!=r?e.push(r.name):e.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),_nextLayerID=0,Layer=function(e){function t(t){var n=e.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=_nextLayerID++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var i=n.getClassName();r=toSnakeCase(i)+\"_\"+getUid(i)}if(n.name=r,n.trainable=null==t.trainable||t.trainable,n.updatable=null==t.updatable||t.updatable,null!=t.inputShape||null!=t.batchInputShape){var a=void 0;if(null!=t.batchInputShape)a=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),a=[o].concat(t.inputShape)}n.batchInputShape=a;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s=\"float32\"),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n}return __extends(t,e),t.nodeKey=function(e,t){return e.name+\"_ib-\"+t.toString()},t.prototype.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new RuntimeError(\"The layer has never been called and thus has no defined \"+t+\".\");if(this.inboundNodes.length<=e)throw new ValueError(\"Asked to get \"+t+\" at node \"+e+\", but the layer has only \"+this.inboundNodes.length+\" inbound nodes.\");return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"input\").inputTensors)},t.prototype.getOutputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"output\").outputTensors)},Object.defineProperty(t.prototype,\"input\",{get:function(){if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" is not connected, no input to return.\");return singletonOrArray(this.getNodeAtIndex(0,\"input\").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"output\",{get:function(){if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" has no inbound nodes.\");if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0,\"output\").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map(function(e){return e()})},Object.defineProperty(t.prototype,\"updates\",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"built\",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this._trainableWeights:[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this._nonTrainableWeights:this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"stateful\",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")},t.prototype.assertInputCompatibility=function(e){if(e=toList(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=toList(this.inputSpec);if(e.length!==t.length)throw new ValueError(\"Layer \"+this.name+\" expects \"+t.length+\" inputs, but it received \"+e.length+\" input tensors. Input received: \"+e);for(var n=0;n<e.length;n++){var r=e[n],i=t[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected ndim=\"+i.ndim+\", found ndim=\"+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected max_ndim=\"+i.maxNDim+\", found ndim=\"+a);if(null!=i.minNDim&&a<i.minNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected min_ndim=\"+i.minNDim+\", found ndim=\"+a+\".\");if(null!=i.dtype&&r.dtype!==i.dtype)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\" : expected dtype=\"+i.dtype+\", found dtype=\"+r.dtype+\".\");if(i.axes){var o=r.shape;for(var s in i.axes){var l=Number(s),u=i.axes[s],c=l>=0?o[l]:o[o.length+l];if(null!=u&&-1===[u,null].indexOf(c))throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected axis \"+l+\" of input shape to have value \"+u+\" but got shape \"+o+\".\")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],d=r.shape[p];if(null!=h&&null!=d&&h!==d)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected shape=\"+i.shape+\", found shape=${xShape}.\")}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r=toList(e),i=!0,a=0,o=r;a<o.length;a++){if(!(o[a]instanceof SymbolicTensor)){i=!1;break}}for(var s=!0,l=0,u=r;l<u.length;l++){if(u[l]instanceof SymbolicTensor){s=!1;break}}if(i===s)throw new ValueError(\"Arguments to apply() must be all SymbolicTensors or all Tensors\");return nameScope(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var i=[],a=0,o=toList(e);a<o.length;a++){var l=o[a];i.push(l.shape)}n.build(singletonOrArray(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(e),s){for(var u=[],c=0,p=toList(f=n.call(e,t));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),u.push(h)}if(f=singletonOrArray(u),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f}var d=collectInputShape(e),g=n.computeOutputShape(d),f=void 0,m=guessOutputDType(e);if(n.warnOnIncompatibleInputShape(Array.isArray(e)?d[0]:d),f=null!=g&&g.length>0&&Array.isArray(g[0])?g.map(function(r,i){return new SymbolicTensor(m,r,n,toList(e),t,n.name,i)}):new SymbolicTensor(m,g,n,toList(e),t,n.name),n.addInboundNode(e,f,null,null,d,g,t),n._refCount++,null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f})},t.prototype.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn(\"The rank of the input tensor provided (shape: \"+JSON.stringify(e)+\") does not match that of the batchInputShape (\"+JSON.stringify(this.batchInputShape)+\") of the layer \"+this.name);else{var t=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)}),t&&console.warn(\"The shape of the input tensor (\"+JSON.stringify(e)+\") does not match the expectation of layer \"+this.name+\": \"+JSON.stringify(this.batchInputShape))}},Object.defineProperty(t.prototype,\"outputShape\",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new AttributeError(\"The layer \"+this.name+\" has never been called and thus has no defined output shape.\");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],i=JSON.stringify(r.outputShapes);-1===e.indexOf(i)&&e.push(i)}if(1===e.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new AttributeError(\"The layer \"+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of \"outut shape\" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new RuntimeError(\"You tried to call countParams() on \"+this.name+\", but the layer is not built yet. Build it first by calling build(batchInputShape).\");return countParamsInWeights(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),batchGetValue(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;tidy(function(){var n=t.weights;if(n.length!==e.length)throw new ValueError('You called setWeights(weights) on layer \"'+t.name+'\" with a weight list of length '+e.length+\", but the layer was expecting \"+n.length+\" weights. Provided weights: \"+e+\"...\");if(0!==n.length){for(var r=[],i=batchGetValue(n),a=0;a<i.length;++a){var o=i[a],s=n[a],l=e[a];if(!util.arraysEqual(o.shape,l.shape))throw new ValueError(\"Layer weight shape \"+o.shape+\" not compatible with provided weight shape \"+l.shape);r.push([s,l])}batchSetValue(r)}})},t.prototype.addWeight=function(e,t,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(e))throw new ValueError(\"Duplicate weight name \"+e+\" for layer \"+this.name);this._addedWeightNames.push(e),null==n&&(n=\"float32\");var s=new LayerVariable(r.apply(t,n),n,e,a,o);return null!=i&&this.addLoss(function(){return i.apply(s.read())}),null==a&&(a=!0),a?this._trainableWeights.push(s):this._nonTrainableWeights.push(s),s},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=toList(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError(\"Layer \"+this.name+\" does not support masking,but was passed an inputMask.\");t.forEach(function(e){if(null!=e)throw new TypeError(\"Layer \"+n.name+\" does not support masking,but was passed an inputMask.\")})}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,i,a,o){void 0===o&&(o=null);var s=toList(e);t=toList(t),n=toList(n),r=toList(r),i=normalizeShapeList(i),a=normalizeShapeList(a);for(var l=[],u=[],c=[],p=0,h=s;p<h.length;p++){var d=h[p];l.push(d.sourceLayer),u.push(d.nodeIndex),c.push(d.tensorIndex)}new Node({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var g=0;g<t.length;g++)t[g].sourceLayer=this,t[g].nodeIndex=this.inboundNodes.length-1,t[g].tensorIndex=g},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},t.prototype.disposeWeights=function(){return this.weights.forEach(function(e){return e.dispose()}),this.weights.length},t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Layer '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){if(!this.built)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been built yet.\");if(null===this._refCount)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been used yet.\");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},t}(serialization.Serializable);function collectInputShape(e){for(var t=[],n=0,r=e=toList(e);n<r.length;n++){var i=r[n];t.push(i.shape)}return singletonOrArray(t)}function guessOutputDType(e){return\"float32\"}function getSourceInputs(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var o=0,s=getSourceInputs(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);o<s.length;o++){var l=s[o];-1===i.indexOf(l)&&i.push(l)}return i}var InputLayer=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:getUid(\"input\").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new ValueError(\"Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.\");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new ValueError(\"An InputLayer should be passed either a `batchInputShape` or an `inputShape`.\");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new ValueError(\"Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.\");var i=t.dtype||\"float32\";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new SymbolicTensor(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Node({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return __extends(t,e),t.prototype.apply=function(e,t){throw new ValueError(\"Cannot pass any input to an InputLayer's apply() method. InputLayer name: \"+this.name)},t.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className=\"InputLayer\",t}(Layer);function Input(e){if(null==e.batchShape&&null==e.shape)throw new Error(\"Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.\");if(null!=e.batchShape&&null!=e.shape)throw new ValueError(\"Please provide either a `shape` or `batchShape` argument to Input, but not both.\");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n=\"float32\"),new InputLayer({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}function resolveScalarsInLogs(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:if(null==e)return[2];for(i in t=[],n=[],r=[],e)\"number\"!=typeof(a=e[i])&&(o=a,t.push(o.data()),n.push(i),r.push(o));return[4,Promise.all(t)];case 1:for(s=u.sent(),l=0;l<s.length;++l)e[n[l]]=s[l][0];return dispose(r),[2]}})})}function disposeTensorsInLogs(e){if(null!=e)for(var t in e){var n=e[t];\"number\"!=typeof n&&n.dispose()}}serialization.registerClass(InputLayer);var BaseCallback=function(){function e(){this.validationData=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.setModel=function(e){},e}(),CallbackList=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}return e.prototype.append=function(e){this.callbacks.push(e)},e.prototype.setParams=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setParams(e)}},e.prototype.setModel=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setModel(e)}},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainEnd(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e}(),ModelTrainingYielder=function(){function e(e){this.yieldEvery=e,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=util.now()}return e.prototype.resolveOneTensorInLogs=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a;return __generator(this,function(o){switch(o.label){case 0:for(n in t=[],e)t.push(n);r=0,o.label=1;case 1:return r<t.length?(i=t[r],\"number\"==typeof(a=e[i])?[3,3]:[4,a.data()]):[3,4];case 2:return o.sent(),[3,4];case 3:return r++,[3,1];case 4:return[2]}})})},e.prototype.maybeYieldOnBatch=function(t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:return\"auto\"!==this.yieldEvery?[3,7]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,3]:[4,this.resolveOneTensorInLogs(t)]);case 1:return i.sent(),n=util.now(),[4,nextFrame()];case 2:return i.sent(),this.batchCount>e.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(n-this.batchStartMillis),this.batchDurationsMillis.length>=e.DECISION_BATCH_COUNT&&(r=this.batchDurationsMillis.reduce(function(e,t){return e+t})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(e.THRESHOLD_MILLIS/r),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=util.now(),this.lastYieldBatchCount=this.batchCount,[3,6];case 3:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,nextFrame()]:[3,6];case 4:return i.sent(),[4,this.resolveOneTensorInLogs(t)];case 5:i.sent(),this.lastYieldBatchCount=this.batchCount,i.label=6;case 6:return[3,9];case 7:return\"batch\"!==this.yieldEvery?[3,9]:[4,nextFrame()];case 8:i.sent(),i.label=9;case 9:return[2]}})})},e.prototype.maybeYieldOnEpoch=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){switch(e.label){case 0:return\"epoch\"!==this.yieldEvery?[3,2]:[4,nextFrame()];case 1:e.sent(),e.label=2;case 2:return[2]}})})},e.SKIP_FIRST_BATCHES=1,e.DECISION_BATCH_COUNT=2,e.THRESHOLD_MILLIS=16,e}(),BaseLogger=function(e){function t(t){var n=e.call(this)||this;return n.yieldEvery=t||\"auto\",n}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.autoYielder=new ModelTrainingYielder(this.yieldEvery),[2]})})},t.prototype.onEpochBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a=this;return __generator(this,function(o){switch(o.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(t)];case 1:for(i in o.sent(),null==t&&(t={}),e=null==t.size?0:t.size,this.seen+=e,n=function(n){var i=t[n];if(\"number\"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*e;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=getScalar(0),r.totals[n]=tidy(function(){return add(a.totals[n],mul(i,getScalar(e)))}),null!=o&&o.dispose()}},r=this,t)n(i);return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a,o=this;return __generator(this,function(s){switch(s.label){case 0:return[4,this.autoYielder.maybeYieldOnEpoch()];case 1:if(s.sent(),null!=t)for(e=function(e){if(null==n.totals[e])return\"continue\";\"number\"==typeof n.totals[e]?t[e]=n.totals[e]/n.seen:tidy(function(){t[e]=mul(div(getScalar(1),getScalar(o.seen)),o.totals[e]),o.totals[e].dispose(),keep(t[e])})},n=this,r=0,i=this.params.metrics;r<i.length;r++)a=i[r],e(a);return[2]}})})},t}(BaseCallback),History=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.epoch=[],this.history={},[2]})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){for(n in null==t&&(t={}),this.epoch.push(e),t)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(t[n]);return[2]})})},t.prototype.syncData=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:for(r in e=[],t=[],n=[],this.history)for(i=this.history[r],a=0;a<i.length;++a)\"number\"!=typeof i[a]&&(o=i[a],e.push(o.data()),t.push(r),n.push(a));return[4,Promise.all(e)];case 1:for(s=u.sent(),l=0;l<s.length;++l)this.history[t[l]][n[l]].dispose(),this.history[t[l]][n[l]]=s[l][0];return[2]}})})},t}(BaseCallback),CustomCallback=function(e){function t(t){var n=e.call(this)||this;return n.trainBegin=t.onTrainBegin,n.trainEnd=t.onTrainEnd,n.epochBegin=t.onEpochBegin,n.epochEnd=t.onEpochEnd,n.batchBegin=t.onBatchBegin,n.batchEnd=t.onBatchEnd,n}return __extends(t,e),t.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainBegin?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainBegin(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainEnd?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainEnd(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t}(BaseCallback);function standardizeCallbacks(e){return null==e?null:e instanceof BaseCallback?[e]:Array.isArray(e)&&e[0]instanceof BaseCallback?e:toList(e).map(function(e){return new CustomCallback(e)})}var CallbackConstructorRegistry=function(){function e(){}return e.registerCallbackConstructor=function(t,n){util.assert(t>=0&&Number.isInteger(t),\"Verbosity level is expected to be an integer >= 0, but got \"+t),e.checkForDuplicate(n),null==e.constructors[t]&&(e.constructors[t]=[]),e.constructors[t].push(n)},e.checkForDuplicate=function(t){for(var n in e.constructors){e.constructors[+n].forEach(function(e){if(e===t)throw new ValueError(\"Duplicate callback constructor.\")})}},e.clear=function(){e.constructors={}},e.createCallbacks=function(t){var n=[];for(var r in e.constructors){var i=+r;t>=i&&n.push.apply(n,e.constructors[i])}return n.map(function(e){return new e})},e}();function l2Normalize(e,t){return tidy(function(){var n=sum(square(e),t,!0),r=mul(scalar(epsilon()),onesLike(e)),i=sqrt(maximum(n,r));return div(e,i)})}function meanSquaredError(e,t){return tidy(function(){return mean(square(sub(t,e)),-1)})}function meanAbsoluteError(e,t){return tidy(function(){return mean(abs(sub(t,e)),-1)})}function meanAbsolutePercentageError(e,t){return tidy(function(){var n=sub(e,t),r=clipByValue(abs(e),epsilon(),Number.MAX_VALUE),i=abs(div(n,r));return mul(getScalar(100),mean(i,-1))})}function meanSquaredLogarithmicError(e,t){return tidy(function(){var n=getScalar(1),r=clipByValue(t,epsilon(),Number.MAX_VALUE),i=log(add(n,r)),a=clipByValue(e,epsilon(),Number.MAX_VALUE),o=log(add(n,a));return mean(square(sub(i,o)),-1)})}function squaredHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(square(i),-1)})}function hinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(i,-1)})}function categoricalHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=sum(mul(e,t),-1),a=max(mul(sub(r,e),t),-1);return maximum(n,add(r,sub(a,i)))})}function logcosh(e,t){return tidy(function(){var n=getScalar(Math.log(2)),r=sub(t,e),i=sub(add(r,softplus(mul(getScalar(-2),r))),n);return mean(i,-1)})}function categoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){if(n)t=softmax(t);else{var r=sum(t,t.shape.length-1,!0);t=div(t,r)}return t=clipByValue(t,epsilon(),1-epsilon()),neg(sum(mul(e.toFloat(),log(t)),t.shape.length-1))})}function sparseCategoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){var r=floor(flatten(e)).toInt(),i=t.shape;return categoricalCrossentropy(oneHot(r,i[i.length-1]).reshape(i),t,n)})}function sigmoidCrossEntropyWithLogits(e,t){return tidy(function(){var n=maximum(t,zerosLike(t)),r=mul(t,e),i=log(add(getScalar(1),exp(neg(abs(t)))));return add(sub(n,r),i)})}function binaryCrossentropy(e,t){return tidy(function(){var n;return n=clipByValue(t,epsilon(),1-epsilon()),n=log(div(n,sub(onesLike(n),n))),mean(sigmoidCrossEntropyWithLogits(e,n),-1)})}function kullbackLeiblerDivergence(e,t){return tidy(function(){var n=clipByValue(e,epsilon(),1),r=clipByValue(t,epsilon(),1);return sum(mul(e,log(div(n,r))),-1)})}function poisson(e,t){return tidy(function(){var n=log(add(getScalar(epsilon()),t));return mean(sub(t,mul(e,n)),-1)})}function cosineProximity(e,t){return tidy(function(){var n=l2Normalize(e,-1),r=l2Normalize(t,-1),i=mul(n,r);return neg(sum(i,-1))})}function get(e){var t={meanSquaredError:meanSquaredError,meanAbsoluteError:meanAbsoluteError,meanAbsolutePercentageError:meanAbsolutePercentageError,meanSquaredLogarithmicError:meanSquaredLogarithmicError,squaredHinge:squaredHinge,hinge:hinge,categoricalHinge:categoricalHinge,logcosh:logcosh,categoricalCrossentropy:categoricalCrossentropy,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy,binaryCrossentropy:binaryCrossentropy,kullbackLeiblerDivergence:kullbackLeiblerDivergence,poisson:poisson,cosineProximity:cosineProximity};if(\"string\"==typeof e){if(e in t)return t[e];var n=\"Unknown loss \"+e;throw e.toLowerCase().includes(\"softmaxcrossentropy\")&&(n=\"Unknown loss \"+e+'. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy'),new ValueError(n)}return e}function binaryAccuracy(e,t){return tidy(function(){var n=mul(getScalar(.5),onesLike(t)),r=cast$1(greater(t,n),e.dtype);return mean(equal(e,r),-1)})}function categoricalAccuracy(e,t){return tidy(function(){return cast$1(equal(argMax(e,-1),argMax(t,-1)),\"float32\")})}function truePositives(e,t){return tidy(function(){var n=getScalar(1);return logicalAnd(e.equal(n),t.equal(n)).sum().cast(\"float32\")})}function falseNegatives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(n),t.equal(r)).sum().cast(\"float32\")})}function falsePositives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(r),t.equal(n)).sum().cast(\"float32\")})}function precision(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falsePositives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function recall(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falseNegatives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function binaryCrossentropy$1(e,t){return binaryCrossentropy(e,t)}function sparseCategoricalAccuracy(e,t){throw new NotImplementedError}var mse$1=meanSquaredError,MSE$1=meanSquaredError,mae$1=meanAbsoluteError,MAE$1=meanAbsoluteError,mape$1=meanAbsolutePercentageError,MAPE$1=meanAbsolutePercentageError,categoricalCrossentropy$1=categoricalCrossentropy,cosine$1=cosineProximity,sparseCategoricalCrossentropy$1=sparseCategoricalCrossentropy;function get$1(e){var t={binaryAccuracy:binaryAccuracy,categoricalAccuracy:categoricalAccuracy,precision:precision,categoricalCrossentropy:categoricalCrossentropy$1,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy$1,mse:mse$1,MSE:MSE$1,mae:mae$1,MAE:MAE$1,mape:mape$1,MAPE:MAPE$1,cosine:cosine$1};if(\"string\"==typeof e&&e in t)return t[e];if(\"string\"!=typeof e&&null!=e)return e;throw new ValueError(\"Unknown metric \"+e)}function getOptimizer(e){var t={Adagrad:function(){return train.adagrad(.01)},Adadelta:function(){return train.adadelta(1,.95,epsilon())},Adam:function(){return train.adam(.001,.9,.999,epsilon())},Adamax:function(){return train.adamax(.002,.9,.999,epsilon(),0)},RMSProp:function(){return train.rmsprop(.001,.9,0,epsilon())},SGD:function(){return train.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new ValueError(\"Unknown Optimizer \"+e)}function printSummary(e,t,n,r){void 0===r&&(r=console.log);var i,a=isModelSequentialLike(e),o=[\"Layer (type)\",\"Output shape\",\"Param #\"];if(a?(t=t||65,n=n||[.45,.85,1]):(t=t||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(function(e){return Math.floor(t*e)})),!a)for(var s in o.push(\"Receives inputs\"),i=[],e.nodesByDepth)i.push.apply(i,e.nodesByDepth[s]);r(\"_\".repeat(t)),printRow(o,n,r),r(\"=\".repeat(t));for(var l=e.layers,u=0;u<l.length;++u)a?printLayerSummary(l[u],n,r):printLayerSummaryWithConnections(l[u],n,i,r),r((u===l.length-1?\"=\":\"_\").repeat(t));e.checkTrainableWeightsConsistency();var c=countTrainableParams(e),p=countParamsInWeights(e.nonTrainableWeights);r(\"Total params: \"+(c+p)),r(\"Trainable params: \"+c),r(\"Non-trainable params: \"+p),r(\"_\".repeat(t))}function countTrainableParams(e){return null!=e.collectedTrainableWeights?countParamsInWeights(e.collectedTrainableWeights):countParamsInWeights(e.trainableWeights)}function isModelSequentialLike(e){var t=!0,n=[],r=[];for(var i in e.nodesByDepth)n.push(e.nodesByDepth[i]);for(var a=0,o=n;a<o.length;a++){var s=o[a];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){t=!1;break}r.push.apply(r,s)}if(t)for(var l=0,u=e.layers;l<u.length;l++){for(var c=!1,p=0,h=u[l].inboundNodes;p<h.length;p++){var d=h[p];if(-1!==r.indexOf(d)){if(c){t=!1;break}c=!0}}if(!t)break}return t}function printRow(e,t,n){void 0===n&&(n=console.log);for(var r=\"\",i=0;i<e.length;++i)i>0&&(r=r.slice(0,r.length-1)+\" \"),r=(r+=e[i]).slice(0,t[i]),r+=\" \".repeat(t[i]-r.length);n(r)}function printLayerSummary(e,t,n){var r;try{r=JSON.stringify(e.outputShape)}catch(e){r=\"multiple\"}printRow([e.name+\" (\"+e.getClassName()+\")\",r,e.countParams().toString()],t,n)}function printLayerSummaryWithConnections(e,t,n,r){var i;try{i=JSON.stringify(e.outputShape)}catch(e){i=\"multiple\"}for(var a=[],o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(null!=n&&n.length>0&&-1===n.indexOf(l)))for(var u=0;u<l.inboundLayers.length;++u){var c=l.inboundLayers[u].name,p=l.nodeIndices[u],h=l.tensorIndices[u];a.push(c+\"[\"+p+\"][\"+h+\"]\")}}var d=e.name,g=e.getClassName(),f=0===a.length?\"\":a[0];printRow([d+\" (\"+g+\")\",i,e.countParams().toString(),f],t,r);for(u=1;u<a.length;++u)printRow([\"\",\"\",\"\",a[u]],t,r)}function deserialize(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"layer\")}function isArrayItemInputOrOutputName(e,t,n){return(\"inboundNodes\"===e||\"outputLayers\"===e||\"inputLayers\"===e)&&0===t&&\"string\"==typeof n}function convertPythonicToTs(e,t){if(null===e)return null;if(\"string\"==typeof e)return toCamelCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertPythonicToTs(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u];if(\"name\"===u&&\"string\"==typeof c)o[u]=c;else{var p=toCamelCase(u);o[p]=convertPythonicToTs(c,p)}}return o}function convertTsToPythonic(e,t){if(null===e||void 0===e)return null;if(\"string\"==typeof e)return toSnakeCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertTsToPythonic(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u],p=toSnakeCase(u);o[p]=\"name\"!==u&&\"className\"!==u||\"string\"!=typeof c?convertTsToPythonic(c,u):c}return o}var version=\"0.8.0\";function preprocessWeightsForLoading(e,t,n,r){if(!n.startsWith(\"2.\"))throw new ValueError(\"Unsupported Keras version in weights being loaded: \"+n);return t}function loadTensor(e,t,n){var r=stringToDType(e);return Tensor.make(t,{values:0===t.length?n:util.flatten(n)},r)}function loadWeightsFromJson(e,t,n){void 0===n&&(n=!1);for(var r=e.keras_version,i=e.backend,a=t.map(function(e){return e.name}),o={},s=0,l=t;s<l.length;s++){null!=(b=l[s]).name&&(null==o[b.name]&&(o[b.name]=[]),o[b.name].push(b))}for(var u=e.weights,c=[],p=0;p<a.length;++p){var h=a[p],d=u[h];null==d&&(d=[]);for(var g=[],f=0;f<d.length;++f){var m=d[f];g.push(new LayerVariable(loadTensor(m.dtype,m.shape,m.value)))}for(var y=0,v=o[h];y<v.length;y++){var b,w=(b=v[y]).weights;if((g=preprocessWeightsForLoading(b,g,r,i)).length!==w.length){if(!n)throw new ValueError(\"Layer #\"+p+' (named \"'+b.name+'\") expects '+w.length+\" weight(s), but the saved weights have \"+g.length+\" element(s).\");console.warn(\"Skipping loading of weights of layer \"+b.name+\" due to mismatch in number of weights: (\"+g.length+\" vs \"+w.length+\").\")}for(var z=0;z<g.length;++z)!n||util.arraysEqual(w[z].shape,g[z].shape)?c.push([w[z],g[z].read()]):console.warn(\"Skipping loading of weights for layer \"+b.name+\" due to mismatch in shape (\"+w[z].shape+\" vs \"+g[z].shape+\")\")}}batchSetValue(c)}function loadWeightsFromNamedTensorMap(e,t,n){void 0===n&&(n=!0);for(var r={},i=0,a=0,o=t;a<o.length;a++)for(var s=0,l=o[a].weights;s<l.length;s++){var u=l[s];if(null!=r[u.originalName])throw new ValueError(\"Duplicate weight name: \"+u.originalName);r[u.originalName]=u,i++}var c=[];for(var p in e){if(null!=r[p])c.push([r[p],e[p]]);else if(n)throw new ValueError(\"Provided weight data has no target variable: \"+p);delete r[p]}if(n){var h=[];for(var d in r)h.push(d);if(h.length>0)throw new ValueError(h.length+\" of \"+i+\" weights are not set: \"+h)}batchSetValue(c)}var Container=function(e){function t(n){var r=e.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=getUid(i)}if(r.supportsMasking=!1,r.trainable=!0,r.updatable=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],unique(r.inputs).length!==r.inputs.length)throw new ValueError(\"The list of inputs passed to the model is redundant. All inputs should only appear once. Found: \"+r.inputs.map(function(e){return e.name}));unique(r.outputs).length!==r.outputs.length&&console.warn(\"The list of outputs passed to the model is redundant. All outputs should only appear once. Found: \"+r.outputs.map(function(e){return e.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(N=o[a]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(u)}for(var c=0,p=r.inputs;c<p.length;c++){s=(N=p[c]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;assert(0===l,\"input layer has >1 nodes\"),assert(0===u,\"input layer has >1 tensors\"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(l),r.inputLayersTensorIndices.push(u)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof InputLayer))throw new TypeError(\"Input layers to a Model must be InputLayer objects. Received inputs: \"+n.inputs+\". Input \"+h+\" (0-based) originates from layer type \"+s.getClassName()+\".\");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var d=0,g=r.outputLayers;d<g.length;d++){s=g[d];r.outputNames.push(s.name)}r.internalInputShapes=r.inputs.map(function(e){return e.shape}),r.internalOutputShapes=r.outputs.map(function(e){return e.shape});for(var f={},m={},y={},v={},b={},w=[],z=function(e,n,i,a,o,s){null!=a&&null!=o&&null!=s||(a=e.sourceLayer,o=e.nodeIndex,s=e.tensorIndex);var l=a.inboundNodes[o];if(-1!==i.indexOf(l))throw new RuntimeError(\"The tensor \"+e.name+' at layer \"'+a.name+'\" is part of a cycle.');if(-1===n.indexOf(l)){r.containerNodes.add(t.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(l)&&i.push(l);for(var u=l.inboundLayers.length,c=0;c<u;c++){var p=l.inputTensors[c],h=l.inboundLayers[c],d=l.nodeIndices[c],g=l.tensorIndices[c];z(p,n,i,h,d,g)}for(n.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);w.push(l)}},S=[],A=[],I=0,C=r.outputs;I<C.length;I++){var N=C[I];z(N,S,A)}for(var E=0,_=w.slice().reverse();E<_.length;E++){m[(K=_[E]).id]=K,K.id in f||(f[K.id]=0);var k=f[K.id],L=null==y[K.outboundLayer.id]?0:y[K.outboundLayer.id];k=Math.max(k,L),y[K.outboundLayer.id]=k,v[K.outboundLayer.id]=K.outboundLayer,f[K.id]=k;for(h=0;h<K.inboundLayers.length;h++){var x=K.inboundLayers[h],T=(l=K.nodeIndices[h],x.inboundNodes[l]),R=null==f[T.id]?0:f[T.id];f[T.id]=Math.max(k+1,R),m[T.id]=T}}var O={};for(var D in f){(k=f[D])in O||(O[k]=[]),O[k].push(m[D])}var M={};for(var P in y){(k=y[P])in M||(M[k]=[]),M[k].push(v[P])}var V=Object.keys(M).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);r.layers=[];for(var F=0,B=V;F<B.length;F++){var U=M[k=B[F]];U.sort(function(e,t){var n=b[e.id],r=b[t.id];return n<r?-1:n>r?1:0});for(var j=0,W=U;j<W.length;j++){s=W[j];r.layers.push(s)}}r.layersByDepth=M,V=Object.keys(O).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);for(var $=r.inputs.slice(),q=[],G=0,J=V;G<J.length;G++)for(var H=0,Z=O[k=J[G]];H<Z.length;H++){var K;if(null!=(s=(K=Z[H]).outboundLayer)){for(var Y=0,X=K.inputTensors;Y<X.length;Y++){N=X[Y];if(-1===$.indexOf(N))throw new RuntimeError(\"Graph disconnected: cannot obtain value for tensor \"+N+' at layer \"'+s.name+'\". 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Layer names: \"+JSON.stringify(te))},re=0,ie=te;re<ie.length;re++){ne(ie[re])}return r.outboundNodes=[],r.inboundNodes=[],new Node({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(e){return null}),outputMasks:r.outputs.map(function(e){return null}),inputShapes:r.inputs.map(function(e){return e.shape}),outputShapes:r.outputs.map(function(e){return e.shape})}),r.built=!0,r._refCount=1,r}return __extends(t,e),t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Container '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount)for(var t=0,n=this.layers;t<n.length;t++){var r=n[t];e.numDisposedVariables+=r.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(this._trainableWeights.length>0)throw new ValueError(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. 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e=this.getConfig();return{className:this.getClassName(),config:e,kerasVersion:\"tfjs-layers \"+version,backend:\"TensorFlow.js\"}},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=convertTsToPythonic(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=\"mask\"in t?toList(t.mask):pyListRepeat(null,e.length),n.runInternalGraph(e,r)[0]})},t.prototype.computeMask=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=null==t?pyListRepeat(null,e.length):toList(t),n.runInternalGraph(e,r)[1]})},t.prototype.computeOutputShape=function(e){var t=normalizeShapeList(e);if(t.length!==this.inputLayers.length)throw new ValueError(\"Invalid inputShape argument \"+e+\": model has \"+this.inputLayers.length+\" tensor inputs.\");for(var n={},r=0;r<t.length;r++){var i=this.inputLayers[r],a=t[r];n[A=i.name+\"_0_0\"]=a}var o=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);if(o.length>1)for(var s=0,l=o;s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){var h=p[c];i=h.outboundLayer;if(-1===this.inputLayers.map(function(e){return e.id}).indexOf(i.id)){for(var d=[],g=0;g<h.inboundLayers.length;g++){var f=h.inboundLayers[g],m=h.nodeIndices[g],y=h.tensorIndices[g],v=n[A=f.name+\"_\"+m+\"_\"+y];d.push(v)}var b=normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),w=i.inboundNodes.indexOf(h);for(g=0;g<b.length;g++){n[A=i.name+\"_\"+w+\"_\"+g]=b[g]}}}var z=[],S=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],w=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var A=i.name+\"_\"+w+\"_\"+y;S.push(A)}for(r=0;r<S.length;r++){var I=S[r];assert(I in n),z.push(n[I])}return singletonOrArray(z)},t.prototype.runInternalGraph=function(e,t){null==t&&(t=pyListRepeat(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=e[r],o=t[r];n[i.id]=[a,o]}for(var s=0,l=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){for(var h=p[c],d=h.outboundLayer,g=h.inputTensors,f=h.outputTensors,m=new Array,y=0,v=g;y<v.length;y++){(i=v[y]).id in n&&m.push(n[i.id])}if(m.length===g.length){var b={},w=void 0,z=void 0,S=void 0,A=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===m.length){var I=m[0],C=I[0],N=I[1];null==b.mask&&(b.mask=N),S=toList(d.call(C,b)),A=toList(d.computeMask(C,N)),w=[C],z=[N]}else w=m.map(function(e){return e[0]}),z=m.map(function(e){return e[1]}),null==b.mask&&(b.mask=z),S=toList(d.call(w,b)),A=toList(d.computeMask(w,z));if(d.activityRegularizer)throw new NotImplementedError(\"Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(r=0;r<f.length;++r){i=f[r],a=S[r],o=A[r];n[i.id]=[a,o]}}}for(var E=[],_=[],k=[],L=0,x=this.outputs;L<x.length;L++){assert((i=x[L]).id in n,\"Could not compute output \"+i.name+\" : \"+i.id);var T=n[i.id],R=T[0];o=T[1];k.push(R.shape),E.push(R),_.push(o)}return[E,_,k]},t.prototype.buildNodeConversionMap=function(e){for(var n,r={},i=0,a=this.layers;i<a.length;i++){var o=a[i];n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var l=t.nodeKey(o,s);l in this.containerNodes&&(r[l]=n,n+=1)}}return r},t.prototype.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new ValueError(\"Was asked to retrieve layer at index \"+t+\", but model only has \"+this.layers.length+\" layer(s).\");return this.layers[t]}if(null==e)throw new ValueError(\"Provide either a layer name or layer index\");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===e)return i}throw new ValueError(\"No such layer: \"+e)},t.prototype.calculateLosses=function(){var e=this;return tidy(function(){for(var n=[],r=0,i=e.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=t.nodeKey(a,o);e.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n})},t.prototype.getConfig=function(){for(var e={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(b=a[i]).getClassName(),s=b.getConfig(),l=[],u=0;u<b.inboundNodes.length;u++){var c=b.inboundNodes[u],p=t.nodeKey(b,u),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(e){console.warn(\"Layer \"+b.name+\" was passed non-serializable keyword arguments: \"+c.callArgs+\". They will not be included in the serialized model (and thus will be missing at deserialization time).\"),h={}}if(c.inboundLayers.length>0){for(var d=[],g=0;g<c.inboundLayers.length;g++){var f=c.inboundLayers[g],m=c.nodeIndices[g],y=c.tensorIndices[g];null!==(z=n[t.nodeKey(f,m)])&&void 0!==z||(z=0),d.push([f.name,z,y,h])}l.push(d)}}}r.push({name:b.name,className:o,config:s,inboundNodes:l})}e.layers=r;var v=[];for(g=0;g<this.inputLayers.length;g++){var b=this.inputLayers[g];m=this.inputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){null!==(z=n[p])&&void 0!==z||(z=0);y=this.inputLayersTensorIndices[g];v.push([b.name,z,y])}}e.inputLayers=v;var w=[];for(g=0;g<this.outputLayers.length;g++){b=this.outputLayers[g],m=this.outputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){var z;null!==(z=n[p])&&void 0!==z||(z=0);y=this.outputLayersTensorIndices[g];w.push([b.name,z,y])}}return e.outputLayers=w,e},t.fromConfig=function(e,t){var n={},r={};function i(e,t){e.name in r?r[e.name].push(t):r[e.name]=[t]}function a(e,t){for(var r,a=[],o=0,s=t;o<s.length;o++){var l=s[o],u=l[0],c=l[1],p=l[2];if(3===l.length)r={};else{if(4!==l.length)throw new ValueError(\"Improperly formatted model config for layer \"+JSON.stringify(e)+\": \"+JSON.stringify(l));r=l[3]}if(!(u in n))return void i(e,t);var h=n[u];if(h.inboundNodes.length<=c)return void i(e,t);var d=h.inboundNodes[c];a.push(d.outputTensors[p])}a.length>0&&e.apply(singletonOrArray(a),r)}function o(e){var r=e.name,a=deserialize(e,null!=t.customObjects?t.customObjects:{});n[r]=a;for(var o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(l instanceof Array))throw new ValueError(\"Corrupted configuration, expected array for nodeData: \"+l);i(a,l)}}for(var s=t.name,l=t.layers,u=0,c=l;u<c.length;u++){o(d=c[u])}for(;!isObjectEmpty(r);)for(var p=0,h=l;p<h.length;p++){var d=h[p];if((N=n[d.name]).name in r){for(var g=0,f=r[N.name];g<f.length;g++){a(N,f[g])}delete r[N.name]}}for(var m=[],y=[],v=0,b=t.inputLayers;v<b.length;v++){var w=(d=b[v])[0],z=d[1],S=d[2];assert(w in n);var A=(N=n[w]).inboundNodes[z].outputTensors;m.push(A[S])}for(var I=0,C=t.outputLayers;I<C.length;I++){w=(d=C[I])[0],z=d[1],S=d[2];assert(w in n);var N;A=(N=n[w]).inboundNodes[z].outputTensors;y.push(A[S])}return new e({inputs:m,outputs:y,name:s})},Object.defineProperty(t.prototype,\"stateful\",{get:function(){if(this._stateful)throw new ValueError(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(var e=0,t=this.layers;e<t.length;e++){if(t[e].stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;tidy(function(){e.layers.forEach(function(e){e.stateful&&e.resetStates()})})},t}(Layer);function assertFeedCompatibility(e,t){if(null!=e.shape){if(e.shape.length!==t.shape.length)throw new ValueError(\"The rank of feed (\"+t.shape.length+\") does not match the rank of the key (\"+e.shape.length+\").\");for(var n=0;n<e.shape.length;++n)if(null!=e.shape[n]&&e.shape[n]!==t.shape[n])throw new ValueError(\"The \"+n+\"-th dimension of the feed (\"+t.shape[n]+\") is incompatible with that of the key (\"+e.shape[n]+\").\")}if(null==e.dtype||e.dtype===t.dtype)return t;try{return cast(t,e.dtype)}catch(n){throw new ValueError(\"The dtype of the feed (\"+t.dtype+\") can not be cast to the dtype of the key '\"+e.name+\"' (\"+e.dtype+\").\")}}var ModelLoggingVerbosity,FeedDict=function(){function e(t){if(this.id2Value={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n];else{if(null==t)return;for(var r=0,i=t;r<i.length;r++){var a=i[r];this.add(a.key,a.value)}}}return e.prototype.add=function(e,t){if(null!=this.id2Value[e.id])throw new ValueError(\"Duplicate key: name=\"+e.name+\", id=\"+e.id);return this.id2Value[e.id]=assertFeedCompatibility(e,t),this},e.prototype.addFeed=function(e){this.add(e.key,e.value)},e.prototype.hasKey=function(e){return null!=this.id2Value[e.id]},e.prototype.getValue=function(e){if(null==this.id2Value[e.id])throw new ValueError(\"Nonexistent key: \"+JSON.stringify(e));return this.id2Value[e.id]},e}();function execute(e,t,n){for(var r=Array.isArray(e),i=r?e:[e],a=[],o=new FeedDict(t),s=0,l=i;s<l.length;s++){var u=l[s];a.push(executeInternal(u,o,n))}return r?a:a[0]}function executeInternal(e,t,n){if(t.hasKey(e))return t.getValue(e);if(e.sourceLayer instanceof InputLayer)throw new ValueError(\"Missing a feed value for SymbolicTensor from InputLayer '\"+InputLayer.name+\"'\");for(var r=[],i=0,a=e.inputs;i<a.length;i++){var o=executeInternal(a[i],t,n);r.push(o)}var s=e.sourceLayer.apply(r,n);Array.isArray(s)||(s=[s]);for(var l=getNodeOutputs(e),u=Array.isArray(l)?l:[l],c=0;c<u.length;++c)t.add(u[c],s[c]);return 1===s.length?s[0]:s[e.outputTensorIndex]}function getNodeOutputs(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r)for(var i=0,a=e.sourceLayer.inboundNodes[r].outputTensors;i<a.length;i++){if(a[i].id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}function isDataTensor(e){return e instanceof Tensor}function isDataArray(e){return Array.isArray(e)}function isDataDict(e){return!isDataTensor(e)&&!isDataArray(e)}function standardizeInputData(e,t,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),null==t||0===t.length){if(null!=e){var a=!1;if(isDataArray(e)&&e.length>0)a=!0;else if(isDataDict(e)){for(var o in e)if(e.hasOwnProperty(o)){a=!0;break}}else a=!0;if(a)throw new ValueError(\"Error when checking model \"+i+\" expected no data, but got \"+e)}return[]}if(null==e)return t.map(function(e){return null});var s;if(isDataDict(e)){e=e,s=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(null==e[c])throw new ValueError('No data provided for \"'+c+'\". Need data for each key in: '+t);s.push(e[c])}}else if(isDataArray(e)){if((e=e).length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got the following list of Tensor(s): \"+e);s=e}else{if(e=e,t.length>1)throw new ValueError(\"The model \"+i+\" expects \"+t.length+\" Tensor(s), but only received one Tensor. Found: Tensor with shape \"+e.shape);s=[e]}for(var p=0;p<t.length;++p){1===(h=s[p]).shape.length&&(s[p]=expandDims(h,1))}if(null!=n)for(p=0;p<t.length;++p)if(null!=n[p]){var h;if((h=s[p]).shape.length!==n[p].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have \"+n[p].length+\" dimension(s). but got array with shape \"+h.shape);for(var d=0;d<n[p].length;++d)if(0!==d||r){var g=h.shape[d],f=n[p][d];if(null!=f&&f>=0&&g!==f)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have shape [\"+n[p]+\"], but got array with shape [\"+h.shape+\"].\")}}return s}function checkArrayLengths(e,t,n){var r=unique(e.map(function(e){return e.shape[0]}));r.sort();var i=unique(t.map(function(e){return e.shape[0]}));if(i.sort(),r.length>1)throw new ValueError(\"All input Tensors (x) should have the same number of samples. Got array shapes: \"+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new ValueError(\"All target Tensors (y) should have the same number of samples. Got array shapes: \"+JSON.stringify(t.map(function(e){return e.shape})));if(r.length>0&&i.length>0&&!util.arraysEqual(r,i))throw new ValueError(\"Input Tensors should have the same number of samples as target Tensors. Found \"+r[0]+\" input sample(s) and \"+i[0]+\" target sample(s).\")}function checkLossAndTargetCompatibility(e,t,n){for(var r=[meanSquaredError,binaryCrossentropy,categoricalCrossentropy],i=0;i<e.length;++i){var a=e[i],o=t[i],s=n[i];if(null!=o){if(o===categoricalCrossentropy&&1===a.shape[a.shape.length-1])throw new ValueError(\"You are passing a target array of shape \"+a.shape+\" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].\");if(-1!==r.indexOf(o))for(var l=a.shape.slice(1),u=s.slice(1),c=0;c<l.length;++c){var p=l[c],h=u[c];if(null!=h&&p!==h)throw new ValueError(\"A target Tensor with shape \"+a.shape+\" was passed for an output of shape \"+s+\", while using a loss function that expects targets to have the same shape as the output.\")}}}}function makeBatches(e,t){for(var n=[],r=0,i=null;r<e;)(i=r+t)>=e&&(i=e),n.push([r,i]),r=i;return n}function sliceArrays(e,t,n){return null==e?[null]:Array.isArray(e)?e.map(function(e){return sliceAlongFirstAxis(e,t,n-t)}):sliceAlongFirstAxis(e,t,n-t)}function sliceArraysByIndices(e,t){return tidy(function(){return null==e?null:Array.isArray(e)?e.map(function(e){return sliceArraysByIndices(e,t)}):gather$1(e,\"int32\"===t.dtype?t:t.toInt())})}function checkInputData(e,t,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),Array.isArray(e)){if(e.length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got \"+e.length+\" Tensors(s).\");a=e}else{if(t.length>1)throw new ValueError(\"The model expects \"+t.length+\" \"+i+\" Tensors, but only received one Tensor. Found: array with shape \"+JSON.stringify(e.shape)+\".\");a=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=a[o];if(s.shape.length!==n[o].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have \"+n[o].length+\" dimension(s), but got array with shape \"+JSON.stringify(s.shape));for(var l=0;l<n[o].length;++l)if(0!==l||r){var u=s.shape[l],c=n[o][l];if(null!=c&&c!==u)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have shape \"+JSON.stringify(n[o])+\" but got array with shape \"+JSON.stringify(s.shape)+\".\")}}}function collectMetrics(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map(function(e){return[]});if(Array.isArray(e))return t.map(function(t){return e});if(null!=e){for(var n=[],r=0,i=t;r<i.length;r++){var a=i[r],o=e.hasOwnProperty(a)?e[a]:[];Array.isArray(o)||(o=[o]),n.push(o)}return n}throw new TypeError(\"Type of metrics argument not understood. Expected an Array or Object, found: \"+e)}function checkBatchSize(e){util.assert(e>0&&Number.isInteger(e),\"batchSize is required to be a positive integer, but got \"+e)}!function(e){e[e.SILENT=0]=\"SILENT\",e[e.VERBOSE=1]=\"VERBOSE\"}(ModelLoggingVerbosity||(ModelLoggingVerbosity={}));var Model=function(e){function t(t){var n=e.call(this,t)||this;return n.isTraining=!1,n}return __extends(t,e),t.prototype.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new ValueError(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");printSummary(this,e,t,n)},t.prototype.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,\"string\"==typeof e.optimizer)this.optimizer=getOptimizer(e.optimizer);else{if(!(e.optimizer instanceof Optimizer))throw new ValueError(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer=e.optimizer}var n=[];if(Array.isArray(e.loss)||\"string\"==typeof e.loss||\"function\"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new ValueError(\"When passing an Array as loss, it should have one entry per model output. The model has \"+this.outputs.length+\" output(s), but you passed loss=\"+e.loss+\".\");var r=e.loss;n=r.map(function(e){return get(e)})}else{var i=get(e.loss);this.outputs.map(function(e){n.push(i)})}else{for(var a in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(a))throw new ValueError('Unknown entry in loss dictionary: \"'+a+'\". Only expect the following keys: '+this.outputNames);for(var o in this.outputNames)null==e.loss[o]&&console.warn('Output \"'+o+'\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+o+\" during training\"),n.push(get(e.loss[o]))}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var s=0;s<this.outputs.length;++s){var l=this.internalOutputShapes[s],u=this.outputNames[s];this.feedOutputNames.push(u),this.feedOutputShapes.push(l),this.feedLossFns.push(this.lossFunctions[s])}var c=[];this.metrics=e.metrics,this.metricsNames=[\"loss\"],this.metricsTensors=[],nameScope(\"loss\",function(){for(var e=0;e<t.outputs.length;++e)if(-1===c.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+\"_loss\"))}});var p=collectMetrics(e.metrics,this.outputNames);nameScope(\"metric\",function(){for(var e=function(e){if(-1!==c.indexOf(e))return\"continue\";!function(n){for(var r,i,a,o=function(n){if(-1!==[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(n)){var o=t.internalOutputShapes[e];1===o[o.length-1]||t.lossFunctions[e]===binaryCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=binaryAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=binaryCrossentropy$1):t.lossFunctions[e]===sparseCategoricalCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=sparseCategoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=sparseCategoricalCrossentropy$1):-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=categoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=categoricalCrossentropy$1);var s=void 0;-1!==[\"accuracy\",\"acc\"].indexOf(n)?s=\"acc\":-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(s=\"ce\"),a=i,r=\"\"+s}else{var l=get$1(n);a=l,r=\"\"+n}var u;nameScope(r,function(){u=a}),function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+\"_\"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])}(e,r,u)},s=0,l=n;s<l.length;s++)o(l[s])}(p[e])},n=0;n<t.outputs.length;++n)e(n)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;checkBatchSize(r);var i=this.standardizeUserData(e,t,!0,r),a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return singletonOrArray(this.testLoop(o,a,r,n.verbose,n.steps))},t.prototype.checkNumSamples=function(e,t,n,r){var i;if(void 0===r&&(r=\"steps\"),null!=n){if(i=null,null!=t)throw new ValueError(\"If \"+r+\" is set, batchSize must be null or undefined.Got batchSize = \"+t)}else{if(null==e)throw new ValueError(\"Either the input data should have a defined shape, or \"+r+\" shoud be specified.\");i=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return i},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new ValueError(\"`outputs` is an empty Array, which is not allowed.\");var n=Array.isArray(t),r=n?t:[t],i=this.retrieveSymbolicTensors(r),a=new FeedDict;if(e instanceof Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new ValueError(\"The number of inputs provided (\"+e.length+\") does not match the number of inputs of this model (\"+this.inputs.length+\").\");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],e[o])}else for(var s=0,l=this.inputs;s<l.length;s++){var u=l[s],c=e[u.name];if(null==c)throw new ValueError(\"No value is provided for the model's input \"+u.name);a.add(u,c)}var p=execute(i,a);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=pyListRepeat(null,e.length),n=e.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(e){return e.name}),l=0;l<e.length;++l){var u=s.indexOf(e[l]);if(-1!==u&&(t[l]=o[u],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw t.forEach(function(t,n){null==t&&c.push(e[n])}),new ValueError(\"Cannot find SymbolicTensors for output name(s): \"+JSON.stringify(c))}return t},t.prototype.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),tidy(function(){var i=r.checkNumSamples(e);if(n)throw new NotImplementedError(\"Verbose predictLoop() is not implemented yet.\");for(var a=makeBatches(i,t),o=[],s=function(t){var n=tidy(function(){var n=a[t][0],i=a[t][1],o=sliceArrays(e,n,i),s=[];if(Array.isArray(o))for(var l=0;l<o.length;++l)s.push({key:r.inputs[l],value:o[l]});else s.push({key:r.inputs[0],value:o});var u=new FeedDict(s);return execute(r.outputs,u)});if(0===t)for(var i=0,s=n;i<s.length;i++){var l=s[i];o.push(l)}else for(var u=0;u<n.length;++u)o[u]=concatAlongFirstAxis(o[u],n[u])},l=0;l<a.length;++l)s(l);return singletonOrArray(o)})},t.prototype.predict=function(e,t){void 0===t&&(t={}),checkInputData(e,this.inputNames,this.feedInputShapes,!1);var n=null==t.batchSize?32:t.batchSize;return checkBatchSize(n),this.predictLoop(e,n)},t.prototype.predictOnBatch=function(e){return checkInputData(e,this.inputNames,this.feedInputShapes,!0),this.predictLoop(e,e.shape[0])},t.prototype.standardizeUserData=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new RuntimeError(\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===sparseCategoricalCrossentropy?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(checkArrayLengths(e=standardizeInputData(e,this.feedInputNames,this.feedInputShapes,!1,\"input\"),t=standardizeInputData(t,this.feedOutputNames,i,!1,\"target\"),null),checkLossAndTargetCompatibility(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new ValueError(\"In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size \"+r+\". Found: \"+e[0].shape[0]+\" sample(s).\");return[e,t,null]},t.prototype.fitLoop=function(e,t,n,r,i,a,o,s,l,u,c,p,h,d,g){return __awaiter(this,void 0,void 0,function(){var f,m,y,v,b,w,z,S,A=this;return __generator(this,function(I){switch(I.label){case 0:if(null==r&&(r=32),null==i&&(i=1),null==u&&(u=!0),null==p&&(p=0),f=!1,null!=s&&null!=l&&(f=!0),null!=d&&(f=!0,null==h))throw new ValueError(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");return null!=(m=this.checkNumSamples(t,r,h,\"steps_per_epoch\"))&&(y=range(0,m)),null==a&&(a=1),this.history=new History,v=[new BaseLogger(g)].concat(CallbackConstructorRegistry.createCallbacks(a)),null!=o&&v.push.apply(v,o),v.push(this.history),(b=new CallbackList(v)).setModel(this),b.setParams({epochs:i,initialEpoch:p,samples:m,steps:h,batchSize:r,verbose:a,doValidation:f,metrics:c}),[4,b.onTrainBegin()];case 1:I.sent(),this.stopTraining_=!1,w=function(i){var a,o,c,p,d;return __generator(this,function(g){switch(g.label){case 0:return[4,b.onEpochBegin(i)];case 1:if(g.sent(),a={},null==h)return[3,2];throw new NotImplementedError(\"stepsPerEpoch mode is not implemented yet.\");case 2:if(\"batch\"===u)throw new NotImplementedError(\"batch shuffling is not implemneted yet\");u&&util.shuffle(y),o=tensor1d(y),c=makeBatches(m,r),p=function(i){var u;return __generator(this,function(p){switch(p.label){case 0:return u={},[4,b.onBatchBegin(i,u)];case 1:return p.sent(),tidy(function(){var p=c[i][0],h=c[i][1],d=sliceAlongFirstAxis(o,p,h-p);u.batch=i,u.size=h-p;for(var g=sliceArraysByIndices(t,d),m=e(g),y=0;y<n.length;++y){var v=n[y],b=m[y];u[v]=b,keep(b)}if(i===c.length-1&&f){var w=A.testLoop(s,l,r);for(y=0;y<n.length;++y){v=n[y],b=w[y];keep(b),a[\"val_\"+v]=b}}}),[4,b.onBatchEnd(i,u)];case 2:return p.sent(),disposeTensorsInLogs(u),z.stopTraining_?[2,\"break\"]:[2]}})},d=0,g.label=3;case 3:return d<c.length?[5,p(d)]:[3,6];case 4:if(\"break\"===g.sent())return[3,6];g.label=5;case 5:return++d,[3,3];case 6:o.dispose(),g.label=7;case 7:return[4,b.onEpochEnd(i,a)];case 8:return g.sent(),z.stopTraining_?[2,\"break\"]:[2]}})},z=this,S=p,I.label=2;case 2:return S<i?[5,w(S)]:[3,5];case 3:if(\"break\"===I.sent())return[3,5];I.label=4;case 4:return++S,[3,2];case 5:return[4,b.onTrainEnd()];case 6:return I.sent(),[4,this.history.syncData()];case 7:return I.sent(),[2,this.history]}})})},t.prototype.testLoop=function(e,t,n,r,i){var a=this;return void 0===r&&(r=0),tidy(function(){var o=a.checkNumSamples(t,n,i,\"steps\"),s=[];if(1===r)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");if(null!=i)throw new NotImplementedError(\"steps mode in testLoop() is not implemented yet\");for(var l=makeBatches(o,n),u=tensor1d(range(0,o)),c=0;c<l.length;++c){var p=l[c][0],h=l[c][1],d=sliceAlongFirstAxis(u,p,h-p),g=sliceArraysByIndices(t,d),f=e(g);if(0===c)for(var m=0;m<f.length;++m)s.push(getScalar(0));for(m=0;m<f.length;++m){var y=f[m];s[m]=add(s[m],mul(getScalar(h-p),y))}}for(m=0;m<s.length;++m)s[m]=div(s[m],getScalar(o));return s})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],i=r;if(count(e,r)>1)i+=\"_\"+count(e.slice(0,n),r);t.push(i)}return t},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return tidy(function(){for(var n,r=[],i=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:i[s]});var l=new FeedDict(o),u=execute(e.outputs,l);for(s=0;s<e.lossFunctions.length;++s){var c=e.lossFunctions[s],p=mean(c(a[s],u[s]));n=0===s?p:add(n,p),r.push(n)}for(s=0;s<e.metricsTensors.length;++s){var h=e.metricsTensors[s][0],d=e.metricsTensors[s][1],g=mean(h(a[d],u[d]));r.push(g)}return r})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h,d,g,f,m,y,v,b,w,z,S=this;return __generator(this,function(A){switch(A.label){case 0:if(this.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");this.isTraining=!0,A.label=1;case 1:if(A.trys.push([1,,3,4]),checkBatchSize(r=null==n.batchSize?32:n.batchSize),i=this.standardizeUserData(e,t,!1,r),a=i[0],o=i[1],s=!1,l=void 0,u=void 0,c=void 0,p=!1,null!=n.validationData&&n.validationData.length>0){if(s=!0,2!==n.validationData.length)throw 3===n.validationData.length?new NotImplementedError(\"validationData including sample weights is not supported yet.\"):new ValueError(\"When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; \"+n.validationData+\" is invalid.\");l=n.validationData[0],u=n.validationData[1],h=this.standardizeUserData(l,u,!0,r),l=h[0],u=h[1],c=l.concat(u)}else null!=n.validationSplit&&n.validationSplit>0&&n.validationSplit<1?(s=!0,d=Math.floor(a[0].shape[0]*(1-n.validationSplit)),g=a[0].shape[0],l=sliceArrays(a,d,g),a=sliceArrays(a,0,d),u=sliceArrays(o,d,g),o=sliceArrays(o,0,d),p=!0,c=l.concat(u)):null!=n.validationSteps&&(s=!0);return f=a.concat(o),this.checkTrainableWeightsConsistency(),m=function(e){var t=e.slice(0,S.inputs.length),n=e.slice(S.inputs.length,S.inputs.length+S.outputs.length),r=[],i=S.collectedTrainableWeights.map(function(e){return e.read()});return[S.optimizer.minimize(function(){for(var e=[],i=0;i<S.inputs.length;++i)e.push({key:S.inputs[i],value:t[i]});var a,o=new FeedDict(e),s=execute(S.outputs,o,{training:!0});for(i=0;i<S.lossFunctions.length;++i){var l=(0,S.lossFunctions[i])(n[i],s[i]);mean(l),a=0===i?l:add(a,l)}for(i=0;i<S.metricsTensors.length;++i){var u=S.metricsTensors[i][0],c=S.metricsTensors[i][1],p=mean(u(n[c],s[c]));keep(p),r.push(p)}return a=mean(a),S.calculateLosses().forEach(function(e){a=add(a,e)}),a},!0,i)].concat(r)},y=this.getDedupedMetricsNames(),v=void 0,b=void 0,s?(this.makeTestFunction(),v=this.testFunction,b=y.slice().concat(y.map(function(e){return\"val_\"+e}))):(v=null,c=[],b=y.slice()),w=standardizeCallbacks(n.callbacks),[4,this.fitLoop(m,f,y,r,n.epochs,n.verbose,w,v,c,n.shuffle,b,n.initialEpoch,null,null,n.yieldEvery)];case 2:return z=A.sent(),p&&(c.forEach(function(e){return e.dispose()}),a.forEach(function(e){return e.dispose()}),o.forEach(function(e){return e.dispose()})),this.isTraining=!1,[2,z];case 3:return this.isTraining=!1,[7];case 4:return[2]}})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||(t[r[a].originalName]=i[a]);return t},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),t.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o;return __generator(this,function(s){switch(s.label){case 0:if(\"string\"==typeof e){if(0===(n=io.getSaveHandlers(e)).length)throw new ValueError(\"Cannot find any save handlers for URL '\"+e+\"'\");if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") save handlers for URL '\"+e+\"'\");e=n[0]}if(null==e.save)throw new ValueError(\"Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return[4,io.encodeWeights(this.getNamedWeights(t))];case 1:return r=s.sent(),i=!1,a=null,o=this.toJSON(a,i),[2,e.save({modelTopology:o,weightData:r.data,weightSpecs:r.specs})]}})})},t.className=\"Model\",t}(Container);function loadModelInternal(e,t){return void 0===t&&(t=!0),__awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){if(\"string\"==typeof e){if(0===(n=io.getLoadHandlers(e)).length)n.push(io.browserHTTPRequest(e));else if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") load handlers for URL '\"+e+\"'\");e=n[0]}return[2,loadModelFromIOHandler(e,void 0,t)]})})}function loadModelFromIOHandler(e,t,n){return void 0===n&&(n=!0),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s;return __generator(this,function(l){switch(l.label){case 0:if(null==e.load)throw new ValueError(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,e.load()];case 1:if(r=l.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),a=deserialize(convertPythonicToTs(i),t),null!=r.weightData){if(null==r.weightSpecs)throw new ValueError(\"Model artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");o=!1,s=!0,a.loadWeights(io.decodeWeights(r.weightData,r.weightSpecs),o,s,n)}return[2,a]}})})}serialization.registerClass(Model);var Sequential=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:getUid(\"sequential_\"),null!=t.layers)for(var r=0,i=t.layers;r<i.length;r++){var a=i[r];n.add(a)}return n}return __extends(t,e),t.prototype.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some(function(e){return e<0}))throw new ValueError(\"Negative dimension size caused by adding layer \"+e.name+\" with input shape [\"+e.inboundNodes[0].inputTensors[0].shape+\"]\")},t.prototype.add=function(e){var n,r=e instanceof t||e instanceof Model;if(r){if(1!==(n=e).outputs.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(1!==n.inputs.length)throw new ValueError(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new ValueError(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");var i=Input({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+\"_input\"});e.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new ValueError(\"A layer added to a Sequential model must not already be connected somewhere else. Model received layer \"+e.name+\" which has \"+e.inboundNodes.length+\" pre-existing inbound connections.\");if(1!==e.inboundNodes[0].outputTensors.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=getSourceInputs(this.outputs[0])}this.inboundNodes=[],new Node({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:pyListRepeat(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(e){return e.shape}),outputShapes:this.outputs[0].shape})}else{var a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},t.prototype.pop=function(){if(0===this.layers.length)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},t.prototype.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},t.prototype.build=function(e){if(getExactlyOneShape(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Model({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.model.updatable=this.updatable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},t.prototype.countParams=function(){return this.built||this.build(),e.prototype.countParams.call(this)},t.prototype.summary=function(t,n,r){void 0===r&&(r=console.log),this.built||this.build(),e.prototype.summary.call(this,t,n,r)},t.prototype.setWeights=function(e){null==this.model&&this.build(),this.model.setWeights(e)},Object.defineProperty(t.prototype,\"updatable\",{get:function(){return this._updatable},set:function(e){this.built&&(this.model.updatable=e),this._updatable=e},enumerable:!0,configurable:!0}),t.prototype.evaluate=function(e,t,n){if(void 0===n&&(n={}),!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return this.model.evaluate(e,t,n)},t.prototype.predict=function(e,t){return void 0===t&&(t={}),null==this.model&&this.build(),this.model.predict(e,t)},t.prototype.predictOnBatch=function(e){return null==this.model&&this.build(),this.model.predictOnBatch(e)},t.prototype.compile=function(e){this.build(),this.model.compile(e),this.optimizer=this.model.optimizer,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){return __generator(this,function(r){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.fit(e,t,n)]})})},t.fromConfig=function(e,n){var r=new e({});if(!(r instanceof t))throw new ValueError(\"Sequential.fromConfig called on non-Sequential input: \"+r);if(!(n instanceof Array))throw new ValueError(\"Sequential.fromConfig called without an array of configs\");if(null==n[0].className||\"Merge\"===n[0].className)throw new ValueError(\"Legacy serialization format not supported yet.\");for(var i=0,a=n;i<a.length;i++){var o=deserialize(a[i]);r.add(o)}return r},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.model.stopTraining=e},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push({className:r.getClassName(),config:r.getConfig()})}return e},t.className=\"Sequential\",t}(Model);function model(e){return new Model(e)}function sequential(e){return new Sequential(e)}function loadModel(e,t){return void 0===t&&(t=!0),loadModelInternal(e,t)}function input(e){return Input(e)}function registerCallbackConstructor(e,t){CallbackConstructorRegistry.registerCallbackConstructor(e,t)}serialization.registerClass(Sequential);var Activation=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Elu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),elu$1(e,t)},t.className=\"elu\",t}(Activation);serialization.registerClass(Elu);var Selu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return selu(e)},t.className=\"selu\",t}(Activation);serialization.registerClass(Selu);var Relu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"relu\",t}(Activation);serialization.registerClass(Relu);var Relu6=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tidy(function(){return minimum(getScalar(6),relu(e))})},t.className=\"relu6\",t}(Activation);serialization.registerClass(Relu6);var Linear=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return e},t.className=\"linear\",t}(Activation);serialization.registerClass(Linear);var Sigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return sigmoid(e)},t.className=\"sigmoid\",t}(Activation);serialization.registerClass(Sigmoid);var HardSigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return hardSigmoid(e)},t.className=\"hardSigmoid\",t}(Activation);serialization.registerClass(HardSigmoid);var Softplus=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softplus(e)},t.className=\"softplus\",t}(Activation);serialization.registerClass(Softplus);var Softsign=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softsign(e)},t.className=\"softsign\",t}(Activation);serialization.registerClass(Softsign);var Tanh=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tanh(e)},t.className=\"tanh\",t}(Activation);serialization.registerClass(Tanh);var Softmax=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),softmax(e,t)},t.className=\"softmax\",t}(Activation);function serializeActivation(e){return e.getClassName()}function deserializeActivation(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"activation\")}function getActivation(e){return null==e?deserializeActivation({className:\"linear\",config:{}}):\"string\"==typeof e?deserializeActivation({className:e,config:{}}):e instanceof Activation?e:deserializeActivation(e)}serialization.registerClass(Softmax);var ReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.supportsMasking=!0,null!=t&&(n.maxValue=t.maxValue),n}return __extends(t,e),t.prototype.call=function(e,t){e=getExactlyOneTensor(e);var n=relu(e);return null!=this.maxValue&&(n=clipByValue(n,0,this.maxValue)),n},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={maxValue:this.maxValue},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ReLU\",t}(Layer);serialization.registerClass(ReLU);var LeakyReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return leakyRelu(n,this.alpha)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LeakyReLU\",t}(Layer);serialization.registerClass(LeakyReLU);var ELU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new NotImplementedError(\"Non-default alpha value (\"+t.alpha+\") is not supported by the ELU layer yet.\");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return elu(n)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ELU\",t}(Layer);serialization.registerClass(ELU);var ThresholdedReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n.thetaTensor=getScalar(n.theta),n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return n.mul(cast$1(n.greater(this.thetaTensor),\"float32\"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ThresholdedReLU\",t}(Layer);serialization.registerClass(ThresholdedReLU);var Softmax$1=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new Softmax).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return this.softmax(n,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Softmax\",t}(Layer);serialization.registerClass(Softmax$1);var Regularizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(serialization.Serializable),L1L2=function(e){function t(t){var n=e.call(this)||this,r=null==t||null==t.l1?.01:t.l1,i=null==t||null==t.l2?.01:t.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=getScalar(r),n.l2=getScalar(i),n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=zeros([1]);return t.hasL1&&(n=add(n,sum(mul(t.l1,abs(e))))),t.hasL2&&(n=add(n,sum(mul(t.l2,square(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className=\"L1L2\",t}(Regularizer);function l1(e){return new L1L2({l1:null!=e?e.l1:null,l2:0})}function l2(e){return new L1L2({l2:null!=e?e.l2:null,l1:0})}serialization.registerClass(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={l1l2:\"L1L2\"};function serializeRegularizer(e){return serializeKerasObject(e)}function deserializeRegularizer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function getRegularizer(e){return null==e?null:\"string\"==typeof e?deserializeRegularizer({className:e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Regularizer?e:deserializeRegularizer(e)}function normalizeArray(e,t,n){if(\"number\"==typeof e)return pyListRepeat(e,t);if(e.length!==t)throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+e.length+\" elements.\");for(var r=0;r<t;++r){var i=e[r];if(!isInteger(i))throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+JSON.stringify(e)+\" including a non-integer number \"+i)}return e}function convOutputLength(e,t,n,r,i){return void 0===i&&(i=1),null==e?e:(a=\"same\"===n?e:e-(t+(t-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function deconvLength(e,t,n,r){if(null==e)return null;if(\"valid\"===r)e=e*t+max$1([n-t,0]);else{if(\"same\"!==r)throw new ValueError(\"Unsupport padding mode: \"+r+\".\");e*=t}return e}function preprocessConv2DInput(e,t){return tidy(function(){return checkDataFormat(t),\"channelsFirst\"===t?transpose(e,[0,2,3,1]):e})}function conv1dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i=\"valid\"),void 0===o&&(o=1),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.shape.length)throw new ValueError(\"The input of a conv1dWithBias operation should be 3, but is \"+e.shape.length+\" instead.\");if(3!==t.shape.length)throw new ValueError(\"The kernel for a conv1dWithBias operation should be 3, but is \"+t.shape.length+\" instead\");if(null!=n&&1!==n.shape.length)throw new ValueError(\"The bias for a conv1dWithBias operation should be 1, but is \"+t.shape.length+\" instead\");if(\"channelsFirst\"===a&&(e=transpose(e,[0,2,1])),\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");var s=conv1d(e,t,r,\"same\"===i?\"same\":\"valid\",\"NWC\",o);return null!=n&&(s=biasAdd(s,n)),s})}function conv2dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=[1,1]),void 0===i&&(i=\"valid\"),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.rank&&4!==e.rank)throw new ValueError(\"conv2dWithBias expects input to be of rank 3 or 4, but received \"+e.rank+\".\");if(3!==t.rank&&4!==t.rank)throw new ValueError(\"conv2dWithBias expects kernel to be of rank 3 or 4, but received \"+e.rank+\".\");var s=preprocessConv2DInput(e,a);if(\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return s=conv2d(s,t,r,\"same\"===i?\"same\":\"valid\",\"NHWC\",o),null!=n&&(s=biasAdd(s,n)),\"channelsFirst\"===a&&(s=transpose(s,[0,3,1,2])),s})}var BaseConv=function(e){function t(n,r){var i=e.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",i.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.verifyConfig(r),i.rank=n,1!==i.rank&&2!==i.rank)throw new NotImplementedError(\"Convolution layer for rank other than 1 or 2 (\"+i.rank+\") is not implemented yet.\");if(i.kernelSize=normalizeArray(r.kernelSize,n,\"kernelSize\"),i.strides=normalizeArray(null==r.strides?1:r.strides,n,\"strides\"),i.padding=null==r.padding?\"valid\":r.padding,checkPaddingMode(i.padding),i.dataFormat=null==r.dataFormat?\"channelsLast\":r.dataFormat,checkDataFormat(i.dataFormat),i.activation=getActivation(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=getInitializer(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=getConstraint(r.biasConstraint),i.biasRegularizer=getRegularizer(r.biasRegularizer),i.activityRegularizer=getRegularizer(r.activityRegularizer),i.dilationRate=normalizeArray(null==r.dilationRate?1:r.dilationRate,n,\"dilationRate\"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or an array of a single number for 1D convolution, but received \"+JSON.stringify(i.dilationRate));if(2===i.rank)if(\"number\"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or array of two numbers for 2D convolution, but received \"+JSON.stringify(i.dilationRate));return i}return __extends(t,e),t.verifyConfig=function(e){if(assert(\"kernelSize\"in e,\"required key 'kernelSize' not in config\"),\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:serializeActivation(this.activation),useBias:this.useBias,biasInitializer:serializeInitializer(this.biasInitializer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),Conv=function(e){function t(n,r){var i=e.call(this,n,r)||this;return i.kernel=null,t.verifyConfig(r),i.filters=r.filters,i.kernelInitializer=getInitializer(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=getConstraint(r.kernelConstraint),i.kernelRegularizer=getRegularizer(r.kernelRegularizer),i}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the input should be defined. Found \"+e[t]);var n,r=e[t],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;e=getExactlyOneTensor(e);var r=null==n.bias?null:n.bias.read();if(1===n.rank)t=conv1dWithBias(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=conv2dWithBias(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new NotImplementedError(\"3D convolution is not implemented yet.\");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);for(var t=[],n=\"channelsLast\"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var i=convOutputLength(n[r],this.kernelSize[r],this.padding,this.strides[r],\"number\"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(i)}var a=[e[0]];return\"channelsLast\"===this.dataFormat?(a=a.concat(t)).push(this.filters):(a.push(this.filters),a=a.concat(t)),a},t.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:serializeInitializer(this.kernelInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!(\"filters\"in e)||\"number\"!=typeof e.filters||e.filters<1)throw new ValueError(\"Convolution layer expected config.filters to be a 'number' > 0 but got \"+JSON.stringify(e.filters))},t}(BaseConv),Conv2D=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv2D\",t}(Conv);serialization.registerClass(Conv2D);var Conv2DTranspose=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new InputSpec({ndim:4})],\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode \"+n.padding);return n}return __extends(t,e),t.prototype.build=function(e){if(4!==(e=getExactlyOneShape(e)).length)throw new ValueError(\"Input should have rank 4; Received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the inputs should be defined. Found `None`.\");var n,r=e[t],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight(\"kernel\",i,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new InputSpec({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);if(4!==t.shape.length)throw new ValueError(\"Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-\"+t.shape.length);var r,i,a=t.shape,o=a[0];\"channelsFirst\"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],l=a[i],u=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[o,deconvLength(s,p,u,n.padding),deconvLength(l,h,c,n.padding),n.filters];\"channelsLast\"!==n.dataFormat&&(t=transpose(t,[0,2,3,1]));var g=conv2dTranspose(t,n.kernel.read(),d,n.strides,n.padding);return\"channelsLast\"!==n.dataFormat&&(g=transpose(g,[0,3,1,2])),null!=n.bias&&(g=biasAdd(g,n.bias.read(),n.dataFormat)),null!=n.activation&&(g=n.activation.apply(g)),g})},t.prototype.computeOutputShape=function(e){var t,n,r,i=(e=getExactlyOneShape(e)).slice();\"channelsFirst\"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],l=this.strides[1];return i[t]=this.filters,i[n]=deconvLength(i[n],s,a,this.padding),i[r]=deconvLength(i[r],l,o,this.padding),i},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className=\"Conv2DTranspose\",t}(Conv2D);serialization.registerClass(Conv2DTranspose);var SeparableConv=function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",r.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new ValueError(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new ValueError(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(null!=n.padding&&\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"SeparableConv\"+r.rank+\"D supports only padding modes: 'same' and 'valid', but received \"+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=getRegularizer(n.depthwiseRegularizer),r.depthwiseConstraint=getConstraint(n.depthwiseConstraint),r.pointwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=getRegularizer(n.pointwiseRegularizer),r.pointwiseConstraint=getConstraint(n.pointwiseConstraint),r}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<this.rank+2)throw new ValueError(\"Inputs to SeparableConv\"+this.rank+\"D should have rank \"+(this.rank+2)+\", but received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs should be defined, but found \"+JSON.stringify(e[t]));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),i=[],a=0;a<this.rank;++a)i.push(1);i.push(n*this.depthMultiplier,this.filters);var o;this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,\"float32\",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight(\"pointwise_kernel\",i,\"float32\",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new InputSpec({ndim:this.rank+2,axes:(o={},o[t]=n,o)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;if(e=getExactlyOneTensor(e),1===n.rank)throw new NotImplementedError(\"1D separable convolution is not implemented yet.\");return 2===n.rank&&(\"channelsFirst\"===n.dataFormat&&(e=transpose(e,[0,2,3,1])),t=separableConv2d(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,\"NHWC\")),n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),\"channelsFirst\"===n.dataFormat&&(t=transpose(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.pointwiseInitializer=serializeInitializer(this.pointwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.pointwiseRegularizer=serializeRegularizer(this.pointwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseConstraint),t.pointwiseConstraint=serializeConstraint(this.pointwiseConstraint),t},t.className=\"SeparableConv\",t}(Conv),SeparableConv2D=function(e){function t(t){return e.call(this,2,t)||this}return __extends(t,e),t.className=\"SeparableConv2D\",t}(SeparableConv);serialization.registerClass(SeparableConv2D);var Conv1D=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,1))throw new ValueError(\"Conv1D expects config.kernelSize to be number or number[] with length 1, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv1D\",t}(Conv);serialization.registerClass(Conv1D);var Cropping2D=function(e){function t(t){var n=e.call(this,t)||this;return\"number\"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:\"number\"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n.inputSpec=[{ndim:4}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return\"channelsFirst\"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return e=getExactlyOneTensor(e),\"channelsLast\"===n.dataFormat?sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Cropping2D\",t}(Layer);serialization.registerClass(Cropping2D);var UpSampling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,n}return __extends(t,e),t.prototype.computeOutputShape=function(e){if(\"channelsFirst\"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2];return[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e),r=t.shape;if(\"channelsFirst\"===n.dataFormat){t=transpose(t,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=t.resizeNearestNeighbor([i,a]);return transpose(o,[0,3,1,2])}i=n.size[0]*r[1],a=n.size[1]*r[2];return t.resizeNearestNeighbor([i,a])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"UpSampling2D\",t}(Layer);function depthwiseConv2d$1(e,t,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r=\"valid\"),tidy(function(){null==i&&(i=imageDataFormat()),checkDataFormat(i);var o=preprocessConv2DInput(e,i);if(4!==e.rank)throw new ValueError(\"Input for depthwiseConv2d is required to be 4-D, but is instead \"+e.rank+\"-D\");if(4!==t.rank)throw new ValueError(\"depthwiseKernel is required to be 4-D, but is instead \"+t.rank+\"-D\");return o=depthwiseConv2d(o,t,n,\"same\"===r?\"same\":\"valid\",\"NHWC\",a),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(UpSampling2D);var DepthwiseConv2D=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=getInitializer(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=getConstraint(t.depthwiseConstraint),n.depthwiseRegularizer=getRegularizer(t.depthwiseRegularizer),n}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<4)throw new ValueError(\"Inputs to DepthwiseConv2D should have rank 4. Received input shape: \"+JSON.stringify(e)+\".\");var t=\"channelsFirst\"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (\"+e[t]+\").\");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=depthwiseConv2d$1(e=getExactlyOneTensor(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2],r=\"channelsFirst\"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,i=convOutputLength(t,this.kernelSize[0],this.padding,this.strides[0]),a=convOutputLength(n,this.kernelSize[1],this.padding,this.strides[1]);return\"channelsFirst\"===this.dataFormat?[e[0],r,i,a]:[e[0],i,a,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseRegularizer),t},t.className=\"DepthwiseConv2D\",t}(BaseConv);serialization.registerClass(DepthwiseConv2D);var Dropout=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=getScalar(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Non-default seed is not implemented in Dropout layer yet: \"+n.seed);return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);if(null!=n.noiseShape&&!util.arraysEqual(r.shape,n.noiseShape))throw new NotImplementedError(\"Non-default noise shape is not implemented in Dropout layer yet: \"+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,a=n.getNoiseShape(r);return inTrainPhase(function(){return dropout(r,n.rateScalar,a,n.seed)},function(){return r},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dropout\",t}(Layer);serialization.registerClass(Dropout);var Dense=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=getActivation(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=getConstraint(t.kernelConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return __extends(t,e),t.prototype.build=function(e){var t,n=(e=getExactlyOneShape(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight(\"kernel\",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=dot(getExactlyOneTensor(e),n.kernel.read());return null!=n.bias&&(r=biasAdd(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dense\",t}(Layer);serialization.registerClass(Dense);var Flatten=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=getExactlyOneShape(e)).slice(1);t<n.length;t++){if(null==n[t])throw new ValueError('The shape of the input to \"Flatten\" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.')}return[e[0],arrayProd(e,1)]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),batchFlatten(getExactlyOneTensor(e))})},t.className=\"Flatten\",t}(Layer);serialization.registerClass(Flatten);var Activation$1=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=getActivation(t.activation),n}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:serializeActivation(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Activation\",t}(Layer);serialization.registerClass(Activation$1);var RepeatVector=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return repeat(e=getExactlyOneTensor(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"RepeatVector\",t}(Layer);serialization.registerClass(RepeatVector);var Reshape=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return __extends(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n=\"Total size of new array must be unchanged.\",r=t.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new ValueError(\"Can only specifiy one unknown dimension.\");a=o}else i*=s}var l=arrayProd(e);if(null!==a){if(0===i||l%i!=0)throw new ValueError(n);r[a]=l/i}else if(l!==i)throw new ValueError(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e),i=r.shape,a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Reshape\",t}(Layer);serialization.registerClass(Reshape);var Permute=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(\"Permute constructor requires `dims` to be an Array, but received \"+t.dims+\" instead.\");var r=range(1,t.dims.length+1);if(!util.arraysEqual(t.dims.slice().sort(),r))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new InputSpec({ndim:n.dims.length+1})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return transpose(getExactlyOneTensor(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Permute\",t}(Layer);serialization.registerClass(Permute);var Embedding=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(toList(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=getInitializer(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=getRegularizer(t.embeddingsRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.embeddingsConstraint=getConstraint(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return __extends(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Embedding yet\")},t.prototype.computeOutputShape=function(e){if(e=getExactlyOneShape(e),null==this.inputLength)return e.concat([this.outputDim]);var t=toList(this.inputLength);if(t.length!==e.length-1)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);for(var n=0,r=0;r<t.length;++r){var i=t[r],a=e[r+1];if(null!=i&&null!=a&&i!==a)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);null==i&&(t[n]=a),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return\"int32\"!==r.dtype&&(r=cast$1(r,\"int32\")),gather$1(n.embeddings.read(),r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:serializeInitializer(this.embeddingsInitializer),embeddingsRegularizer:serializeRegularizer(this.embeddingsRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),embeddingsConstraint:serializeConstraint(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Embedding\",t}(Layer);serialization.registerClass(Embedding);var Merge=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.mergeFunction=function(e){throw new NotImplementedError},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var i=e[e.length-t.length+r],a=t[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new ValueError(\"Operands could not be broadcast together with shapes \"+JSON.stringify(e)+\" \"+JSON.stringify(t));n.push(i)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[getExactlyOneShape(e)]),(e=e).length<2)throw new ValueError(\"A merge layer should be called on an Array of at least 2 inputs. Got \"+e.length+\" input(s).\");for(var t=[],n=0,r=e;n<r.length;n++){null!=(o=r[n])&&null!==o[0]&&t.push(o[0])}if((t=unique(t)).length>1)throw new ValueError(\"Can not merge tensors with different batch sizes. Got tensors with shapes: \"+JSON.stringify(e)+\".\");for(var i=null==e[0]?null:e[0].slice(1),a=1;a<e.length;++a){var o=null==e[a]?null:e[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===unique(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(e=e,n.reshapeRequired){var t=[],r=e.map(function(e){return e.rank});if(-1===r.indexOf(null)){for(var i=max$1(r),a=0,o=e;a<o.length;a++){for(var s=(h=o[a]).rank,l=0;l<i-s;++l)h=expandDims(h,1);t.push(h)}return n.mergeFunction(t)}for(var u=!1,c=0,p=e;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var d=h.shape,g=d[0],f=d.slice(1).concat([g]),m=h.reshape([g].concat(arrayProd(d.slice(1))));m=(m=transpose(m,[1,0])).reshape(f),t.push(m),u=!0}else if(s>1){var y=range(1,s).concat([0]);t.push(transpose(h,y)),u=!0}else t.push(h)}var v=n.mergeFunction(t),b=v.rank;if(u)if(null==b){var w=v.shape;f=[g=w[w.length-1]].concat(w.slice(0,w.length-1));v=transpose(v.reshape([-1,g]),[1,0]).reshape(f)}else if(b>1){y=[b-1].concat(range(0,b-1));v=transpose(v,y)}return v}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var i=[],a=0,o=e;a<o.length;a++){null!=(r=o[a])&&null!==r[0]&&i.push(r[0])}return t=1===(i=unique(i)).length?i.concat(t):[null].concat(t)},t}(Layer),Add=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return t})},t.className=\"Add\",t}(Merge);serialization.registerClass(Add);var Multiply=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=mul(t,e[n]);return t})},t.className=\"Multiply\",t}(Merge);serialization.registerClass(Multiply);var Average=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return mul(getScalar(1/e.length),t)})},t.className=\"Average\",t}(Merge);serialization.registerClass(Average);var Maximum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=maximum(t,e[n]);return t})},t.className=\"Maximum\",t}(Merge);serialization.registerClass(Maximum);var Minimum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=minimum(t,e[n]);return t})},t.className=\"Minimum\",t}(Merge);serialization.registerClass(Minimum);var Concatenate=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new ValueError(\"A `Concatenate` layer should be called on a list of at least 2 inputs\");for(var t=!0,n=0,r=e=e;n<r.length;n++){if(null!=(c=r[n])){t=!1;break}}if(!t){for(var i=[],a=0;a<e.length;++a){var o=e[a].slice();o.splice(this.axis,1);for(var s=!1,l=0,u=i;l<u.length;l++){var c=u[l];if(util.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new ValueError(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return tidy(function(){return concatenate(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new ValueError(\"A `Concatenate` layer should be called on a list of inputs.\");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=t.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Concatenate\",t}(Merge);function batchNormalization(e,t,n,r,i,a){var o;if(void 0===a&&(a=.001),2===e.rank)o=batchNormalization2d(e,t,n,a,i,r);else if(3===e.rank)o=batchNormalization3d(e,t,n,a,i,r);else{if(4!==e.rank)throw new NotImplementedError(\"batchNormalization is not implememnted for array of rank \"+e.rank+\" yet\");o=batchNormalization4d(e,t,n,a,i,r)}return o}function regularNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){var a=moments(e,r),o=a.mean,s=a.variance;return[batchNormalization(e,o,s,n,t,i),o,s]})}function broadcastNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){for(var a=moments(e,r),o=a.mean,s=a.variance,l=[],u=0,c=range(0,e.rank);u<c.length;u++){var p=c[u];-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=o.reshape(l),d=s.reshape(l),g=null==t?null:t.reshape(l),f=null==n?null:n.reshape(l);return[batchNormalization(e,h,d,f,g,i),o,s]})}function normalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),util.arraysEqual(r.slice().sort(),range(0,e.rank-1))?regularNormalizeBatchInTraining(e,t,n,r,i):broadcastNormalizeBatchInTraining(e,t,n,r,i)}serialization.registerClass(Concatenate);var BatchNormalization=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=getInitializer(t.betaInitializer||\"zeros\"),n.gammaInitializer=getInitializer(t.gammaInitializer||\"ones\"),n.movingMeanInitializer=getInitializer(t.movingMeanInitializer||\"zeros\"),n.movingVarianceInitializer=getInitializer(t.movingVarianceInitializer||\"ones\"),n.betaConstraint=getConstraint(t.betaConstraint),n.gammaConstraint=getConstraint(t.gammaConstraint),n.betaRegularizer=getRegularizer(t.betaRegularizer),n.gammaRegularizer=getRegularizer(t.gammaRegularizer),n.stepCount=0,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new ValueError(\"Axis \"+t+\" of input tensor should have a defined dimension but the layer received an input with shape \"+JSON.stringify(e)+\".\");this.inputSpec=[new InputSpec({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,i=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training,i=getExactlyOneTensor(e),a=i.shape,o=a.length,s=range(0,o),l=n.axis>=0?n.axis:n.axis+o;s.splice(l,1);var u=pyListRepeat(1,o);u[l]=a[l];var c=s.slice();c.sort();var p=!util.arraysEqual(c,range(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(u),t=n.movingVariance.read().reshape(u),r=n.center?n.beta.read().reshape(u):null,a=n.scale?n.gamma.read().reshape(u):null;return batchNormalization(i,e,t,r,a,n.epsilon)}return batchNormalization(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=normalizeBatchInTraining(i,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],g=h[1],f=h[2],m=arrayProd(s.map(function(e){return i.shape[e]})),y=f.mul(getScalar(m/(m-(1+n.epsilon))));return function(){n.stepCount++;var e=movingAverage(n.movingMean.read(),g,n.momentum,n.stepCount);n.movingMean.write(e);var t=movingAverage(n.movingVariance.read(),y,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:serializeInitializer(this.betaInitializer),gammaInitializer:serializeInitializer(this.gammaInitializer),movingMeanInitializer:serializeInitializer(this.movingMeanInitializer),movingVarianceInitializer:serializeInitializer(this.movingVarianceInitializer),betaRegularizer:serializeRegularizer(this.betaRegularizer),gammaRegularizer:serializeRegularizer(this.gammaRegularizer),betaConstraint:serializeConstraint(this.betaConstraint),gammaConstraint:serializeConstraint(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"BatchNormalization\",t}(Layer);function spatial2dPadding(e,t,n){return tidy(function(){if(4!==e.rank)throw new ValueError(\"temporalPadding expects input tensor to be 4-D, but received a \"+e.rank+\"-D tensor.\");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new ValueError(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(null==n&&(n=imageDataFormat()),\"channelsLast\"!==n&&\"channelsFirst\"!==n)throw new ValueError(\"Unknown data format: \"+n+\". Supported data formats are 'channelsLast' and 'channelsFirst.\");var r;return r=\"channelsFirst\"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],pad(e,r)})}serialization.registerClass(BatchNormalization);var ZeroPadding2D=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?imageDataFormat():t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if(\"number\"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new ValueError(\"ZeroPadding2D expects padding to be a length-2 array, but received a length-\"+t.padding.length+\" array.\");var r=void 0,i=void 0;if(\"number\"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new ValueError(\"ZeroPadding2D expects height padding to be a length-2 array, but received a length-\"+t.padding[0].length+\" array.\");if(r=t.padding[0],2!==t.padding[1].length)throw new ValueError(\"ZeroPadding2D expects width padding to be a length-2 array, but received a length-\"+t.padding[1].length+\" array.\");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=getExactlyOneShape(e),\"channelsFirst\"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return tidy(function(){return spatial2dPadding(getExactlyOneTensor(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ZeroPadding2D\",t}(Layer);function pool2d(e,t,n,r,i,a){return tidy(function(){var o;checkDataFormat(i),checkPoolMode(a),checkPaddingMode(r),null==n&&(n=[1,1]),null==r&&(r=\"valid\"),null==i&&(i=imageDataFormat()),null==a&&(a=\"max\"),e=preprocessConv2DInput(e,i);var s=\"same\"===r?\"same\":\"valid\";return o=\"max\"===a?maxPool(e,t,n,s):avgPool(e,t,n,s),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(ZeroPadding2D);var Pooling1D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,\"number\"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||\"number\"!=typeof t.poolSize[0])throw new ValueError(\"poolSize for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if(\"number\"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||\"number\"!=typeof t.strides[0])throw new ValueError(\"strides for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?\"valid\":t.padding,checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=convOutputLength((e=getExactlyOneShape(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t),e=expandDims(getExactlyOneTensor(e),2);var r=n.poolingFunction(getExactlyOneTensor(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,\"channelsLast\");return squeeze(r,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling1D\",t}(Pooling1D);serialization.registerClass(MaxPooling1D);var AveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling1D\",t}(Pooling1D);serialization.registerClass(AveragePooling1D);var Pooling2D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new ValueError(\"If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length \"+t.strides.length+\".\");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?\"valid\":t.padding,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2];return t=convOutputLength(t,this.poolSize[0],this.padding,this.strides[0]),n=convOutputLength(n,this.poolSize[1],this.padding,this.strides[1]),\"channelsFirst\"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),n.poolingFunction(getExactlyOneTensor(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling2D\",t}(Pooling2D);serialization.registerClass(MaxPooling2D);var AveragePooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling2D\",t}(Pooling2D);serialization.registerClass(AveragePooling2D);var GlobalPooling1D=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new NotImplementedError},t}(Layer),GlobalAveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return mean(t,1)})},t.className=\"GlobalAveragePooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalAveragePooling1D);var GlobalMaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return max(t,1)})},t.className=\"GlobalMaxPooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalMaxPooling1D);var GlobalPooling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return e=e,\"channelsLast\"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new NotImplementedError},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),GlobalAveragePooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?mean(t,[1,2]):mean(t,[2,3])})},t.className=\"GlobalAveragePooling2D\",t}(GlobalPooling2D);serialization.registerClass(GlobalAveragePooling2D);var GlobalMaxPooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?max(t,[1,2]):max(t,[2,3])})},t.className=\"GlobalMaxPooling2D\",t}(GlobalPooling2D);function standardizeArgs(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new ValueError(\"When inputs is an array, neither initialState or constants should be provided\");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function i(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=i(t),constants:n=i(n)}}function rnn(e,t,n,r,i,a,o,s){void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1);var l=t.shape.length;if(l<3)throw new ValueError(\"Input should be at least 3D, but is \"+l+\"D.\");var u,c,p=[1,0].concat(range(2,l));if(t=transpose(t,p),null!=i)throw new NotImplementedError(\"The rnn() function of the deeplearn.js backend does not support masking yet.\");if(null!=a)throw new NotImplementedError(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");o&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),r&&(t=reverse(t,0));for(var h=n,d=t.shape[0],g=function(n){var r=sliceAlongFirstAxis(t,n,1);r=r.reshape(r.shape.slice(1));var i=tidy(function(){return e(r,h)});if(c=i[0],s)if(0===n)u=c.expandDims(1);else{var a=concat([u,c.expandDims(1)],1);u.dispose(),u=a}h=i[1]},f=0;f<d;++f)g(f);return[c,u,h]}serialization.registerClass(GlobalMaxPooling2D);var RNN=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new ValueError(\"cell property is missing for the constructor of RNN.\");if(null==(n=Array.isArray(t.cell)?new StackedRNNCells({cells:t.cell}):t.cell).stateSize)throw new ValueError(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new InputSpec({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return __extends(t,e),t.prototype.getStates=function(){return null==this.states?range(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var i=[],a=0,o=t;a<o.length;a++){var s=o[a];i.push([e[0],s])}return[n].concat(i)}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for RNN yet\")},t.prototype.build=function(e){if(null!=this.numConstants)throw new NotImplementedError(\"Constants support is not implemented in RNN yet.\");isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new InputSpec({shape:[t,null,n]});var r,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),r))throw new ValueError(\"An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=\"+this.stateSpec+\"; However cell.stateSize is \"+this.cell.stateSize)}else this.stateSpec=r.map(function(e){return new InputSpec({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e){var t=this;tidy(function(){if(!t.stateful)throw new AttributeError(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");var n=t.inputSpec[0].shape[0];if(null==n)throw new ValueError(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(null==t.states)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states=[zeros([n,t.cell.stateSize])];else if(null==e)dispose(t.states),null!=t.keptStates&&(dispose(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states[0]=zeros([n,t.cell.stateSize]);else{if(t.keptStates.push(t.states.slice()),Array.isArray(e)||(e=[e]),e.length!==t.states.length)throw new ValueError(\"Layer \"+t.name+\" expects \"+t.states.length+\" state(s), but it received \"+e.length+\" state value(s). Input received: \"+e);for(var r=0;r<t.states.length;++r){var i=e[r],a=Array.isArray(t.cell.stateSize)?t.cell.stateSize[r]:t.cell.stateSize,o=[n,a];if(!util.arraysEqual(i.shape,o))throw new ValueError(\"State \"+r+\" is incompatible with layer \"+t.name+\": expected shape=\"+o+\", received shape=\"+i.shape);t.states[r]=i}}t.states.forEach(function(e){return keep(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);t=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var l=0,u=r;l<u.length;l++){var c=u[l];this.stateSpec.push(new InputSpec({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof SymbolicTensor){var p=[t].concat(o),h=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=h;var g=e.prototype.apply.call(this,p,n);return this.inputSpec=d,g}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null==t?null:t.mask,i=null==t?null:t.training,a=null==t?null:t.initialState;if(e=getExactlyOneTensor(e),null==a&&(a=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new NotImplementedError(\"Masking is not implemented for RNN yet\");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new ValueError(\"RNN Layer has \"+o+\" state(s) but was passed \"+a.length+\" initial state(s).\");n.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");var s={training:i},l=rnn(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,a,n.goBackwards,null,null,n.unroll,n.returnSequences),u=l[0],c=l[1],p=l[2];n.stateful&&n.resetStates(p);var h=n.returnSequences?c:u;return n.returnState?[h].concat(p):h})},t.prototype.getInitialState=function(e){var t=this;return tidy(function(){var n=zeros(e.shape);return n=expandDims(n=sum(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?tile$1(n,[1,e]):n}):t.cell.stateSize>1?[tile$1(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className=\"RNN\",t}(Layer);serialization.registerClass(RNN);var RNNCell=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(Layer),SimpleRNNCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e),this.kernel=this.addWeight(\"kernel\",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"SimpleRNNCell expects 2 input Tensors, got \"+e.length+\".\");var r=e[1];e=e[0];var i,a=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,a)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(r)},n.recurrentDropout,a));var o=n.dropoutMask,s=n.recurrentDropoutMask;i=dot(null!=o?mul(e,o):e,n.kernel.read()),null!=n.bias&&(i=biasAdd(i,n.bias.read())),null!=s&&(r=mul(r,s));var l=add(i,dot(r,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"SimpleRNNCell\",t}(RNNCell);serialization.registerClass(SimpleRNNCell);var SimpleRNN=function(e){function t(t){return t.cell=new SimpleRNNCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className=\"SimpleRNN\",t}(RNN);serialization.registerClass(SimpleRNN);var GRUCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t=(e=getExactlyOneShape(e))[e.length-1];this.kernel=this.addWeight(\"kernel\",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"GRUCell expects 2 input Tensors (inputs, h, c), got \"+e.length+\".\");var r=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,3));var a,o,s,l=n.dropoutMask,u=n.recurrentDropoutMask;if(1===n.implementation){var c=sliceAlongLastAxis(n.kernel.read(),0,n.units),p=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),h=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),d=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),g=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),f=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),m=void 0,y=void 0,v=void 0;0<n.dropout&&n.dropout<1?(m=mul(e,l[0]),y=mul(e,l[1]),v=mul(e,l[2])):(m=e,y=e,v=e);var b=dot(m,c),w=dot(y,p),z=dot(v,h);if(n.useBias){var S=sliceAlongFirstAxis(n.bias.read(),0,n.units),A=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),I=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units);b=biasAdd(b,S),w=biasAdd(w,A),z=biasAdd(z,I)}var C=void 0,N=void 0,E=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(C=mul(i,u[0]),N=mul(i,u[1]),E=mul(i,u[2])):(C=i,N=i,E=i),a=n.recurrentActivation.apply(add(b,dot(C,d))),o=n.recurrentActivation.apply(add(w,dot(N,g))),s=n.activation.apply(add(z,dot(mul(o,E),f)))}else{0<n.dropout&&n.dropout<1&&(e=mul(e,l[0]));var _=dot(e,n.kernel.read());n.useBias&&(_=biasAdd(_,n.bias.read())),0<n.dropout&&n.dropout<1&&(i=mul(i,u[0]));var k=dot(i,sliceAlongLastAxis(n.recurrentKernel.read(),0,2*n.units)),L=(b=sliceAlongLastAxis(_,0,n.units),w=sliceAlongLastAxis(_,n.units,n.units),sliceAlongLastAxis(k,0,n.units)),x=sliceAlongLastAxis(k,n.units,n.units);a=n.recurrentActivation.apply(add(b,L)),o=n.recurrentActivation.apply(add(w,x));z=sliceAlongLastAxis(_,2*n.units,n.units);var T=dot(mul(o,i),sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units));s=n.activation.apply(add(z,T))}var R=add(mul(a,i),mul(add(getScalar(1),neg(a)),s));return[R,R]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"GRUCell\",t}(RNNCell);serialization.registerClass(GRUCell);var GRU=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new GRUCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"GRU\",t}(RNN);serialization.registerClass(GRU);var LSTMCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t,n,r=(e=getExactlyOneShape(e))[e.length-1];if(this.kernel=this.addWeight(\"kernel\",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){var n=i.apply([a]),r=(new Ones).apply([a]),o=i.apply([2*a]);return concatAlongFirstAxis(concatAlongFirstAxis(n,r),o)},t}(Initializer)).className=\"CustomInit\",n)}else t=this.biasInitializer;this.bias=this.addWeight(\"bias\",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new ValueError(\"LSTMCell expects 3 input Tensors (inputs, h, c), got \"+e.length+\".\");var i=e[1],a=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,4));var o,s,l,u,c=n.dropoutMask,p=n.recurrentDropoutMask;if(1===n.implementation){var h=sliceAlongLastAxis(n.kernel.read(),0,n.units),d=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),g=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),f=sliceAlongLastAxis(n.kernel.read(),3*n.units,n.units),m=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),y=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),v=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),b=sliceAlongLastAxis(n.recurrentKernel.read(),3*n.units,n.units),w=void 0,z=void 0,S=void 0,A=void 0;0<n.dropout&&n.dropout<1?(w=mul(e,c[0]),z=mul(e,c[1]),S=mul(e,c[2]),A=mul(e,c[3])):(w=e,z=e,S=e,A=e);var I=dot(w,h),C=dot(z,d),N=dot(S,g),E=dot(A,f);if(n.useBias){var _=sliceAlongFirstAxis(n.bias.read(),0,n.units),k=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),L=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units),x=sliceAlongFirstAxis(n.bias.read(),3*n.units,n.units);I=biasAdd(I,_),C=biasAdd(C,k),N=biasAdd(N,L),E=biasAdd(E,x)}var T=void 0,R=void 0,O=void 0,D=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(T=mul(i,p[0]),R=mul(i,p[1]),O=mul(i,p[2]),D=mul(i,p[3])):(T=i,R=i,O=i,D=i),o=n.recurrentActivation.apply(add(I,dot(T,m))),s=n.recurrentActivation.apply(add(C,dot(R,y))),l=add(mul(s,a),mul(o,n.activation.apply(add(N,dot(O,v))))),u=n.recurrentActivation.apply(add(E,dot(D,b)))}else{0<n.dropout&&n.dropout<1&&(e=mul(e,c[0]));var M=dot(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=mul(i,p[0])),M=add(M,dot(i,n.recurrentKernel.read())),n.useBias&&(M=biasAdd(M,n.bias.read()));var P=sliceAlongLastAxis(M,0,n.units),V=sliceAlongLastAxis(M,n.units,n.units),F=sliceAlongLastAxis(M,2*n.units,n.units),B=sliceAlongLastAxis(M,3*n.units,n.units);o=n.recurrentActivation.apply(P),s=n.recurrentActivation.apply(V),l=add(mul(s,a),mul(o,n.activation.apply(F))),u=n.recurrentActivation.apply(B)}var U=mul(u,n.activation.apply(l));return[U,U,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LSTMCell\",t}(RNNCell);serialization.registerClass(LSTMCell);var LSTM=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new LSTMCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"unitForgetBias\",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"LSTM\",t}(RNN);serialization.registerClass(LSTM);var StackedRNNCells=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return __extends(t,e),Object.defineProperty(t.prototype,\"stateSize\",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return tidy(function(){for(var r=(e=e).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var l,u=[],c=0;c<n.cells.length;++c){s=n.cells[c];r=i[c],l=0===c?[e[0]].concat(r):[l[0]].concat(r),l=s.call(l,t),u.push(l.slice(1))}r=[];for(var p=0,h=u.slice().reverse();p<h.length;p++){var d=h[p];r.push.apply(r,d)}return[l[0]].concat(r)})},t.prototype.build=function(e){var t;isArrayOfShapes(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(e),t=Array.isArray(i.stateSize)?i.stateSize[0]:i.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];t.push({className:this.getClassName(),config:i.getConfig()})}var a={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(a,o),a},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],i=0,a=t.cells;i<a.length;i++){var o=a[i];r.push(deserialize(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return batchGetValue(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=e.splice(a),s=0;s<i.weights.length;++s)t.push([i.weights[s],o[s]]);batchSetValue(t)},t.className=\"StackedRNNCells\",t}(RNNCell);function generateDropoutMask(e,t,n,r){function i(){return dropout(e(),getScalar(t))}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var a=[],o=0;o<r;o++)a.push(inTrainPhase(i,e,n));return a.forEach(function(e){return keep(e)}),a}return keep(inTrainPhase(i,e,n))}serialization.registerClass(StackedRNNCells);var Wrapper=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return __extends(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,\"trainable\",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"updates\",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=deserialize(t.layer,n);delete t.layer;var i={layer:r};return Object.assign(i,t),new e(i)},t}(Layer),TimeDistributed=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.build=function(t){if((t=getExactlyOneShape(t)).length<3)throw new ValueError(\"TimeDistributed layer expects an input shape >= 3D, but received input shape \"+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},t.prototype.computeOutputShape=function(e){var t=[(e=getExactlyOneShape(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},t.prototype.call=function(e,t){var n=this;return tidy(function(){return rnn(function(e,r){return[getExactlyOneTensor(n.layer.call(e,t)),[]]},e=getExactlyOneTensor(e),[],!1,null,null,!1,!0)[1]})},t.className=\"TimeDistributed\",t}(Wrapper);serialization.registerClass(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES=[\"sum\",\"mul\",\"concat\",\"ave\"];function checkBidirectionalMergeMode(e){checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES,\"BidirectionalMergeMode\",e)}var Bidirectional=function(e){function t(t){var n=e.call(this,t)||this,r=t.layer.getConfig();if(n.forwardLayer=deserialize({className:t.layer.getClassName(),config:r}),r.goBackwards=!0!==r.goBackwards,n.backwardLayer=deserialize({className:t.layer.getClassName(),config:r}),n.forwardLayer.name=\"forward_\"+n.forwardLayer.name,n.backwardLayer.name=\"backward_\"+n.backwardLayer.name,checkBidirectionalMergeMode(t.mergeMode),n.mergeMode=t.mergeMode,t.weights)throw new NotImplementedError(\"weights support is not implemented for Bidirectional layer yet.\");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}return __extends(t,e),Object.defineProperty(t.prototype,\"trainable\",{get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},t.prototype.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},t.prototype.computeOutputShape=function(e){var t,n,r,i=this.forwardLayer.computeOutputShape(e);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),t=i[0]):t=i[0],t=t,\"concat\"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):singletonOrArray(n)},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);if(t=a.inputs,r=a.initialState,i=a.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==i)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var l=r.length;if(l%2>0)throw new ValueError(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");n.initialState=r,o.push.apply(o,r);var u=r.map(function(e){return new InputSpec({shape:e.shape})});this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),s.push.apply(s,u)}if(null!=i)throw new NotImplementedError(\"Support for constants in Bidirectional layers is not implemented yet.\");for(var c=o[0]instanceof SymbolicTensor,p=0,h=o;p<h.length;p++){if(h[p]instanceof SymbolicTensor!==c)throw new ValueError(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\")}if(c){var d=[t].concat(o),g=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=g;var m=e.prototype.apply.call(this,d,n);return this.inputSpec=f,m}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(null!=t.mask)throw new NotImplementedError(\"The support for masking is not implemented for Bidirectional layers yet.\");var r,i,a,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),i=n.backwardLayer.call(e,t);else{var l=s.slice(0,s.length/2),u=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:l})),i=n.backwardLayer.call(e,Object.assign(t,{initialState:u}))}return n.returnState&&(Array.isArray(r)&&(a=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),n.returnSequences&&(i=reverse(i,1)),\"concat\"===n.mergeMode?o=concatenate([r,i]):\"sum\"===n.mergeMode?o=add(r,i):\"ave\"===n.mergeMode?o=mul(getScalar(.5),add(r,i)):\"mul\"===n.mergeMode?o=mul(r,i):null==n.mergeMode&&(o=[r,i]),n.returnState?null==n.mergeMode?o.concat(a):[o].concat(a):o})},t.prototype.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},t.prototype.build=function(e){var t=this;nameScope(this.forwardLayer.name,function(){t.forwardLayer.build(e)}),nameScope(this.backwardLayer.name,function(){t.backwardLayer.build(e)}),this.built=!0},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=deserialize(t.layer);if(delete t.layer,null!=t.numConstants)throw new NotImplementedError(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");var r=t;return r.layer=n,new e(r)},t.className=\"Bidirectional\",t}(Wrapper);function inputLayer(e){return new InputLayer(e)}function elu$2(e){return new ELU(e)}function reLU(e){return new ReLU(e)}function leakyReLU(e){return new LeakyReLU(e)}function softmax$1(e){return new Softmax$1(e)}function thresholdedReLU(e){return new ThresholdedReLU(e)}function conv1d$2(e){return new Conv1D(e)}function conv2d$2(e){return new Conv2D(e)}function conv2dTranspose$1(e){return new Conv2DTranspose(e)}function separableConv2d$1(e){return new SeparableConv2D(e)}function cropping2D(e){return new Cropping2D(e)}function upSampling2d(e){return new UpSampling2D(e)}function depthwiseConv2d$2(e){return new DepthwiseConv2D(e)}function activation(e){return new Activation$1(e)}function dense(e){return new Dense(e)}function dropout$1(e){return new Dropout(e)}function flatten$1(e){return new Flatten(e)}function repeatVector(e){return new RepeatVector(e)}function reshape(e){return new Reshape(e)}function permute(e){return new Permute(e)}function embedding(e){return new Embedding(e)}function add$2(e){return new Add(e)}function average$1(e){return new Average(e)}function concatenate$2(e){return new Concatenate(e)}function maximum$2(e){return new Maximum(e)}function minimum$2(e){return new Minimum(e)}function multiply$1(e){return new Multiply(e)}function batchNormalization$1(e){return new BatchNormalization(e)}function zeroPadding2d(e){return new ZeroPadding2D(e)}function averagePooling1d(e){return new AveragePooling1D(e)}function avgPool1d(e){return averagePooling1d(e)}function avgPooling1d(e){return averagePooling1d(e)}function averagePooling2d(e){return new AveragePooling2D(e)}function avgPool2d(e){return averagePooling2d(e)}function avgPooling2d(e){return averagePooling2d(e)}function globalAveragePooling1d(e){return new GlobalAveragePooling1D(e)}function globalAveragePooling2d(e){return new GlobalAveragePooling2D(e)}function globalMaxPooling1d(e){return new GlobalMaxPooling1D(e)}function globalMaxPooling2d(e){return new GlobalMaxPooling2D(e)}function maxPooling1d(e){return new MaxPooling1D(e)}function maxPooling2d(e){return new MaxPooling2D(e)}function gru(e){return new GRU(e)}function gruCell(e){return new GRUCell(e)}function lstm(e){return new LSTM(e)}function lstmCell(e){return new LSTMCell(e)}function simpleRNN(e){return new SimpleRNN(e)}function simpleRNNCell(e){return new SimpleRNNCell(e)}function rnn$1(e){return new RNN(e)}function stackedRNNCells(e){return new StackedRNNCells(e)}function bidirectional(e){return new Bidirectional(e)}function timeDistributed(e){return new TimeDistributed(e)}serialization.registerClass(Bidirectional);var globalMaxPool1d=globalMaxPooling1d,globalMaxPool2d=globalMaxPooling2d,maxPool1d=maxPooling1d,maxPool2d=maxPooling2d,exports_layers=Object.freeze({inputLayer:inputLayer,elu:elu$2,reLU:reLU,leakyReLU:leakyReLU,softmax:softmax$1,thresholdedReLU:thresholdedReLU,conv1d:conv1d$2,conv2d:conv2d$2,conv2dTranspose:conv2dTranspose$1,separableConv2d:separableConv2d$1,cropping2D:cropping2D,upSampling2d:upSampling2d,depthwiseConv2d:depthwiseConv2d$2,activation:activation,dense:dense,dropout:dropout$1,flatten:flatten$1,repeatVector:repeatVector,reshape:reshape,permute:permute,embedding:embedding,add:add$2,average:average$1,concatenate:concatenate$2,maximum:maximum$2,minimum:minimum$2,multiply:multiply$1,batchNormalization:batchNormalization$1,zeroPadding2d:zeroPadding2d,averagePooling1d:averagePooling1d,avgPool1d:avgPool1d,avgPooling1d:avgPooling1d,averagePooling2d:averagePooling2d,avgPool2d:avgPool2d,avgPooling2d:avgPooling2d,globalAveragePooling1d:globalAveragePooling1d,globalAveragePooling2d:globalAveragePooling2d,globalMaxPooling1d:globalMaxPooling1d,globalMaxPooling2d:globalMaxPooling2d,maxPooling1d:maxPooling1d,maxPooling2d:maxPooling2d,gru:gru,gruCell:gruCell,lstm:lstm,lstmCell:lstmCell,simpleRNN:simpleRNN,simpleRNNCell:simpleRNNCell,rnn:rnn$1,stackedRNNCells:stackedRNNCells,bidirectional:bidirectional,timeDistributed:timeDistributed,globalMaxPool1d:globalMaxPool1d,globalMaxPool2d:globalMaxPool2d,maxPool1d:maxPool1d,maxPool2d:maxPool2d,Layer:Layer,RNN:RNN,RNNCell:RNNCell,input:input});function binaryAccuracy$1(e,t){return binaryAccuracy(e,t)}function binaryCrossentropy$2(e,t){return binaryCrossentropy$1(e,t)}function categoricalAccuracy$1(e,t){return categoricalAccuracy(e,t)}function categoricalCrossentropy$2(e,t){return categoricalCrossentropy$1(e,t)}function precision$1(e,t){return precision(e,t)}function recall$1(e,t){return recall(e,t)}function cosineProximity$1(e,t){return cosineProximity(e,t)}function meanAbsoluteError$1(e,t){return meanAbsoluteError(e,t)}function meanAbsolutePercentageError$1(e,t){return meanAbsolutePercentageError(e,t)}function MAPE$2(e,t){return meanAbsolutePercentageError(e,t)}function mape$2(e,t){return meanAbsolutePercentageError(e,t)}function meanSquaredError$1(e,t){return meanSquaredError(e,t)}function MSE$2(e,t){return meanSquaredError(e,t)}function mse$2(e,t){return meanSquaredError(e,t)}var exports_metrics=Object.freeze({binaryAccuracy:binaryAccuracy$1,binaryCrossentropy:binaryCrossentropy$2,categoricalAccuracy:categoricalAccuracy$1,categoricalCrossentropy:categoricalCrossentropy$2,precision:precision$1,recall:recall$1,cosineProximity:cosineProximity$1,meanAbsoluteError:meanAbsoluteError$1,meanAbsolutePercentageError:meanAbsolutePercentageError$1,MAPE:MAPE$2,mape:mape$2,meanSquaredError:meanSquaredError$1,MSE:MSE$2,mse:mse$2});function l1l2(e){return new L1L2(e)}function l1$1(e){return l1(e)}function l2$1(e){return l2(e)}var exports_regularizers=Object.freeze({l1l2:l1l2,l1:l1$1,l2:l2$1}),Callback=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t.model=null,t}return __extends(t,e),t.prototype.setModel=function(e){if(!(e instanceof Model))throw new Error(\"model must be a Model, not some other Container\");this.model=e},t}(BaseCallback);export{exports_constraints as constraints,exports_initializers as initializers,exports_layers as layers,exports_metrics as metrics,exports_regularizers as regularizers,CallbackList,CustomCallback,History,Callback,SymbolicTensor,Model,input,loadModel,model,registerCallbackConstructor,sequential,RNN,Sequential,LayerVariable,version as version_layers};\n//# sourceMappingURL=tf-layers.esm.js.map\n","// @tensorflow/tfjs Copyright 2018 Google\nimport{version_core}from\"@tensorflow/tfjs-core\";export*from\"@tensorflow/tfjs-core\";import{version_layers}from\"@tensorflow/tfjs-layers\";export*from\"@tensorflow/tfjs-layers\";import{version_converter}from\"@tensorflow/tfjs-converter\";export*from\"@tensorflow/tfjs-converter\";var version=\"0.13.0\",version$1={\"tfjs-core\":version_core,\"tfjs-layers\":version_layers,\"tfjs-converter\":version_converter,tfjs:version};export{version$1 as version};\n//# sourceMappingURL=tf.esm.js.map\n","var isObject = require('./_is-object');\nmodule.exports = function (it) {\n  if (!isObject(it)) throw TypeError(it + ' is not an object!');\n  return it;\n};\n","if (typeof Object.create === 'function') {\n  // implementation from standard node.js 'util' module\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    ctor.prototype = Object.create(superCtor.prototype, {\n      constructor: {\n        value: ctor,\n        enumerable: false,\n        writable: true,\n        configurable: true\n      }\n    });\n  };\n} else {\n  // old school shim for old browsers\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    var TempCtor = function () {}\n    TempCtor.prototype = superCtor.prototype\n    ctor.prototype = new TempCtor()\n    ctor.prototype.constructor = ctor\n  }\n}\n","/* eslint-disable node/no-deprecated-api */\nvar buffer = require('buffer')\nvar Buffer = buffer.Buffer\n\n// alternative to using Object.keys for old browsers\nfunction copyProps (src, dst) {\n  for (var key in src) {\n    dst[key] = src[key]\n  }\n}\nif (Buffer.from && Buffer.alloc && Buffer.allocUnsafe && Buffer.allocUnsafeSlow) {\n  module.exports = buffer\n} else {\n  // Copy properties from require('buffer')\n  copyProps(buffer, exports)\n  exports.Buffer = SafeBuffer\n}\n\nfunction SafeBuffer (arg, encodingOrOffset, length) {\n  return Buffer(arg, encodingOrOffset, length)\n}\n\n// Copy static methods from Buffer\ncopyProps(Buffer, SafeBuffer)\n\nSafeBuffer.from = function (arg, encodingOrOffset, length) {\n  if (typeof arg === 'number') {\n    throw new TypeError('Argument must not be a number')\n  }\n  return Buffer(arg, encodingOrOffset, length)\n}\n\nSafeBuffer.alloc = function (size, fill, encoding) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  var buf = Buffer(size)\n  if (fill !== undefined) {\n    if (typeof encoding === 'string') {\n      buf.fill(fill, encoding)\n    } else {\n      buf.fill(fill)\n    }\n  } else {\n    buf.fill(0)\n  }\n  return buf\n}\n\nSafeBuffer.allocUnsafe = function (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  return Buffer(size)\n}\n\nSafeBuffer.allocUnsafeSlow = function (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  return buffer.SlowBuffer(size)\n}\n","// https://github.com/zloirock/core-js/issues/86#issuecomment-115759028\nvar global = module.exports = typeof window != 'undefined' && window.Math == Math\n  ? window : typeof self != 'undefined' && self.Math == Math ? self\n  // eslint-disable-next-line no-new-func\n  : Function('return this')();\nif (typeof __g == 'number') __g = global; // eslint-disable-line no-undef\n","module.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (e) {\n    return true;\n  }\n};\n","module.exports = function (it) {\n  return typeof it === 'object' ? it !== null : typeof it === 'function';\n};\n","var store = require('./_shared')('wks');\nvar uid = require('./_uid');\nvar Symbol = require('./_global').Symbol;\nvar USE_SYMBOL = typeof Symbol == 'function';\n\nvar $exports = module.exports = function (name) {\n  return store[name] || (store[name] =\n    USE_SYMBOL && Symbol[name] || (USE_SYMBOL ? Symbol : uid)('Symbol.' + name));\n};\n\n$exports.store = store;\n","// 7.1.15 ToLength\nvar toInteger = require('./_to-integer');\nvar min = Math.min;\nmodule.exports = function (it) {\n  return it > 0 ? min(toInteger(it), 0x1fffffffffffff) : 0; // pow(2, 53) - 1 == 9007199254740991\n};\n","var core = module.exports = { version: '2.6.1' };\nif (typeof __e == 'number') __e = core; // eslint-disable-line no-undef\n","var anObject = require('./_an-object');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar toPrimitive = require('./_to-primitive');\nvar dP = Object.defineProperty;\n\nexports.f = require('./_descriptors') ? Object.defineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPrimitive(P, true);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return dP(O, P, Attributes);\n  } catch (e) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw TypeError('Accessors not supported!');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n","// Thank's IE8 for his funny defineProperty\nmodule.exports = !require('./_fails')(function () {\n  return Object.defineProperty({}, 'a', { get: function () { return 7; } }).a != 7;\n});\n","(function (module, exports) {\n  'use strict';\n\n  // Utils\n  function assert (val, msg) {\n    if (!val) throw new Error(msg || 'Assertion failed');\n  }\n\n  // Could use `inherits` module, but don't want to move from single file\n  // architecture yet.\n  function inherits (ctor, superCtor) {\n    ctor.super_ = superCtor;\n    var TempCtor = function () {};\n    TempCtor.prototype = superCtor.prototype;\n    ctor.prototype = new TempCtor();\n    ctor.prototype.constructor = ctor;\n  }\n\n  // BN\n\n  function BN (number, base, endian) {\n    if (BN.isBN(number)) {\n      return number;\n    }\n\n    this.negative = 0;\n    this.words = null;\n    this.length = 0;\n\n    // Reduction context\n    this.red = null;\n\n    if (number !== null) {\n      if (base === 'le' || base === 'be') {\n        endian = base;\n        base = 10;\n      }\n\n      this._init(number || 0, base || 10, endian || 'be');\n    }\n  }\n  if (typeof module === 'object') {\n    module.exports = BN;\n  } else {\n    exports.BN = BN;\n  }\n\n  BN.BN = BN;\n  BN.wordSize = 26;\n\n  var Buffer;\n  try {\n    Buffer = require('buffer').Buffer;\n  } catch (e) {\n  }\n\n  BN.isBN = function isBN (num) {\n    if (num instanceof BN) {\n      return true;\n    }\n\n    return num !== null && typeof num === 'object' &&\n      num.constructor.wordSize === BN.wordSize && Array.isArray(num.words);\n  };\n\n  BN.max = function max (left, right) {\n    if (left.cmp(right) > 0) return left;\n    return right;\n  };\n\n  BN.min = function min (left, right) {\n    if (left.cmp(right) < 0) return left;\n    return right;\n  };\n\n  BN.prototype._init = function init (number, base, endian) {\n    if (typeof number === 'number') {\n      return this._initNumber(number, base, endian);\n    }\n\n    if (typeof number === 'object') {\n      return this._initArray(number, base, endian);\n    }\n\n    if (base === 'hex') {\n      base = 16;\n    }\n    assert(base === (base | 0) && base >= 2 && base <= 36);\n\n    number = number.toString().replace(/\\s+/g, '');\n    var start = 0;\n    if (number[0] === '-') {\n      start++;\n    }\n\n    if (base === 16) {\n      this._parseHex(number, start);\n    } else {\n      this._parseBase(number, base, start);\n    }\n\n    if (number[0] === '-') {\n      this.negative = 1;\n    }\n\n    this.strip();\n\n    if (endian !== 'le') return;\n\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initNumber = function _initNumber (number, base, endian) {\n    if (number < 0) {\n      this.negative = 1;\n      number = -number;\n    }\n    if (number < 0x4000000) {\n      this.words = [ number & 0x3ffffff ];\n      this.length = 1;\n    } else if (number < 0x10000000000000) {\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff\n      ];\n      this.length = 2;\n    } else {\n      assert(number < 0x20000000000000); // 2 ^ 53 (unsafe)\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff,\n        1\n      ];\n      this.length = 3;\n    }\n\n    if (endian !== 'le') return;\n\n    // Reverse the bytes\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initArray = function _initArray (number, base, endian) {\n    // Perhaps a Uint8Array\n    assert(typeof number.length === 'number');\n    if (number.length <= 0) {\n      this.words = [ 0 ];\n      this.length = 1;\n      return this;\n    }\n\n    this.length = Math.ceil(number.length / 3);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    var off = 0;\n    if (endian === 'be') {\n      for (i = number.length - 1, j = 0; i >= 0; i -= 3) {\n        w = number[i] | (number[i - 1] << 8) | (number[i - 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    } else if (endian === 'le') {\n      for (i = 0, j = 0; i < number.length; i += 3) {\n        w = number[i] | (number[i + 1] << 8) | (number[i + 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    }\n    return this.strip();\n  };\n\n  function parseHex (str, start, end) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r <<= 4;\n\n      // 'a' - 'f'\n      if (c >= 49 && c <= 54) {\n        r |= c - 49 + 0xa;\n\n      // 'A' - 'F'\n      } else if (c >= 17 && c <= 22) {\n        r |= c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r |= c & 0xf;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseHex = function _parseHex (number, start) {\n    // Create possibly bigger array to ensure that it fits the number\n    this.length = Math.ceil((number.length - start) / 6);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    // Scan 24-bit chunks and add them to the number\n    var off = 0;\n    for (i = number.length - 6, j = 0; i >= start; i -= 6) {\n      w = parseHex(number, i, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      // NOTE: `0x3fffff` is intentional here, 26bits max shift + 24bit hex limb\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n      off += 24;\n      if (off >= 26) {\n        off -= 26;\n        j++;\n      }\n    }\n    if (i + 6 !== start) {\n      w = parseHex(number, start, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n    }\n    this.strip();\n  };\n\n  function parseBase (str, start, end, mul) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r *= mul;\n\n      // 'a'\n      if (c >= 49) {\n        r += c - 49 + 0xa;\n\n      // 'A'\n      } else if (c >= 17) {\n        r += c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r += c;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseBase = function _parseBase (number, base, start) {\n    // Initialize as zero\n    this.words = [ 0 ];\n    this.length = 1;\n\n    // Find length of limb in base\n    for (var limbLen = 0, limbPow = 1; limbPow <= 0x3ffffff; limbPow *= base) {\n      limbLen++;\n    }\n    limbLen--;\n    limbPow = (limbPow / base) | 0;\n\n    var total = number.length - start;\n    var mod = total % limbLen;\n    var end = Math.min(total, total - mod) + start;\n\n    var word = 0;\n    for (var i = start; i < end; i += limbLen) {\n      word = parseBase(number, i, i + limbLen, base);\n\n      this.imuln(limbPow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n\n    if (mod !== 0) {\n      var pow = 1;\n      word = parseBase(number, i, number.length, base);\n\n      for (i = 0; i < mod; i++) {\n        pow *= base;\n      }\n\n      this.imuln(pow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n  };\n\n  BN.prototype.copy = function copy (dest) {\n    dest.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      dest.words[i] = this.words[i];\n    }\n    dest.length = this.length;\n    dest.negative = this.negative;\n    dest.red = this.red;\n  };\n\n  BN.prototype.clone = function clone () {\n    var r = new BN(null);\n    this.copy(r);\n    return r;\n  };\n\n  BN.prototype._expand = function _expand (size) {\n    while (this.length < size) {\n      this.words[this.length++] = 0;\n    }\n    return this;\n  };\n\n  // Remove leading `0` from `this`\n  BN.prototype.strip = function strip () {\n    while (this.length > 1 && this.words[this.length - 1] === 0) {\n      this.length--;\n    }\n    return this._normSign();\n  };\n\n  BN.prototype._normSign = function _normSign () {\n    // -0 = 0\n    if (this.length === 1 && this.words[0] === 0) {\n      this.negative = 0;\n    }\n    return this;\n  };\n\n  BN.prototype.inspect = function inspect () {\n    return (this.red ? '<BN-R: ' : '<BN: ') + this.toString(16) + '>';\n  };\n\n  /*\n\n  var zeros = [];\n  var groupSizes = [];\n  var groupBases = [];\n\n  var s = '';\n  var i = -1;\n  while (++i < BN.wordSize) {\n    zeros[i] = s;\n    s += '0';\n  }\n  groupSizes[0] = 0;\n  groupSizes[1] = 0;\n  groupBases[0] = 0;\n  groupBases[1] = 0;\n  var base = 2 - 1;\n  while (++base < 36 + 1) {\n    var groupSize = 0;\n    var groupBase = 1;\n    while (groupBase < (1 << BN.wordSize) / base) {\n      groupBase *= base;\n      groupSize += 1;\n    }\n    groupSizes[base] = groupSize;\n    groupBases[base] = groupBase;\n  }\n\n  */\n\n  var zeros = [\n    '',\n    '0',\n    '00',\n    '000',\n    '0000',\n    '00000',\n    '000000',\n    '0000000',\n    '00000000',\n    '000000000',\n    '0000000000',\n    '00000000000',\n    '000000000000',\n    '0000000000000',\n    '00000000000000',\n    '000000000000000',\n    '0000000000000000',\n    '00000000000000000',\n    '000000000000000000',\n    '0000000000000000000',\n    '00000000000000000000',\n    '000000000000000000000',\n    '0000000000000000000000',\n    '00000000000000000000000',\n    '000000000000000000000000',\n    '0000000000000000000000000'\n  ];\n\n  var groupSizes = [\n    0, 0,\n    25, 16, 12, 11, 10, 9, 8,\n    8, 7, 7, 7, 7, 6, 6,\n    6, 6, 6, 6, 6, 5, 5,\n    5, 5, 5, 5, 5, 5, 5,\n    5, 5, 5, 5, 5, 5, 5\n  ];\n\n  var groupBases = [\n    0, 0,\n    33554432, 43046721, 16777216, 48828125, 60466176, 40353607, 16777216,\n    43046721, 10000000, 19487171, 35831808, 62748517, 7529536, 11390625,\n    16777216, 24137569, 34012224, 47045881, 64000000, 4084101, 5153632,\n    6436343, 7962624, 9765625, 11881376, 14348907, 17210368, 20511149,\n    24300000, 28629151, 33554432, 39135393, 45435424, 52521875, 60466176\n  ];\n\n  BN.prototype.toString = function toString (base, padding) {\n    base = base || 10;\n    padding = padding | 0 || 1;\n\n    var out;\n    if (base === 16 || base === 'hex') {\n      out = '';\n      var off = 0;\n      var carry = 0;\n      for (var i = 0; i < this.length; i++) {\n        var w = this.words[i];\n        var word = (((w << off) | carry) & 0xffffff).toString(16);\n        carry = (w >>> (24 - off)) & 0xffffff;\n        if (carry !== 0 || i !== this.length - 1) {\n          out = zeros[6 - word.length] + word + out;\n        } else {\n          out = word + out;\n        }\n        off += 2;\n        if (off >= 26) {\n          off -= 26;\n          i--;\n        }\n      }\n      if (carry !== 0) {\n        out = carry.toString(16) + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    if (base === (base | 0) && base >= 2 && base <= 36) {\n      // var groupSize = Math.floor(BN.wordSize * Math.LN2 / Math.log(base));\n      var groupSize = groupSizes[base];\n      // var groupBase = Math.pow(base, groupSize);\n      var groupBase = groupBases[base];\n      out = '';\n      var c = this.clone();\n      c.negative = 0;\n      while (!c.isZero()) {\n        var r = c.modn(groupBase).toString(base);\n        c = c.idivn(groupBase);\n\n        if (!c.isZero()) {\n          out = zeros[groupSize - r.length] + r + out;\n        } else {\n          out = r + out;\n        }\n      }\n      if (this.isZero()) {\n        out = '0' + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    assert(false, 'Base should be between 2 and 36');\n  };\n\n  BN.prototype.toNumber = function toNumber () {\n    var ret = this.words[0];\n    if (this.length === 2) {\n      ret += this.words[1] * 0x4000000;\n    } else if (this.length === 3 && this.words[2] === 0x01) {\n      // NOTE: at this stage it is known that the top bit is set\n      ret += 0x10000000000000 + (this.words[1] * 0x4000000);\n    } else if (this.length > 2) {\n      assert(false, 'Number can only safely store up to 53 bits');\n    }\n    return (this.negative !== 0) ? -ret : ret;\n  };\n\n  BN.prototype.toJSON = function toJSON () {\n    return this.toString(16);\n  };\n\n  BN.prototype.toBuffer = function toBuffer (endian, length) {\n    assert(typeof Buffer !== 'undefined');\n    return this.toArrayLike(Buffer, endian, length);\n  };\n\n  BN.prototype.toArray = function toArray (endian, length) {\n    return this.toArrayLike(Array, endian, length);\n  };\n\n  BN.prototype.toArrayLike = function toArrayLike (ArrayType, endian, length) {\n    var byteLength = this.byteLength();\n    var reqLength = length || Math.max(1, byteLength);\n    assert(byteLength <= reqLength, 'byte array longer than desired length');\n    assert(reqLength > 0, 'Requested array length <= 0');\n\n    this.strip();\n    var littleEndian = endian === 'le';\n    var res = new ArrayType(reqLength);\n\n    var b, i;\n    var q = this.clone();\n    if (!littleEndian) {\n      // Assume big-endian\n      for (i = 0; i < reqLength - byteLength; i++) {\n        res[i] = 0;\n      }\n\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[reqLength - i - 1] = b;\n      }\n    } else {\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[i] = b;\n      }\n\n      for (; i < reqLength; i++) {\n        res[i] = 0;\n      }\n    }\n\n    return res;\n  };\n\n  if (Math.clz32) {\n    BN.prototype._countBits = function _countBits (w) {\n      return 32 - Math.clz32(w);\n    };\n  } else {\n    BN.prototype._countBits = function _countBits (w) {\n      var t = w;\n      var r = 0;\n      if (t >= 0x1000) {\n        r += 13;\n        t >>>= 13;\n      }\n      if (t >= 0x40) {\n        r += 7;\n        t >>>= 7;\n      }\n      if (t >= 0x8) {\n        r += 4;\n        t >>>= 4;\n      }\n      if (t >= 0x02) {\n        r += 2;\n        t >>>= 2;\n      }\n      return r + t;\n    };\n  }\n\n  BN.prototype._zeroBits = function _zeroBits (w) {\n    // Short-cut\n    if (w === 0) return 26;\n\n    var t = w;\n    var r = 0;\n    if ((t & 0x1fff) === 0) {\n      r += 13;\n      t >>>= 13;\n    }\n    if ((t & 0x7f) === 0) {\n      r += 7;\n      t >>>= 7;\n    }\n    if ((t & 0xf) === 0) {\n      r += 4;\n      t >>>= 4;\n    }\n    if ((t & 0x3) === 0) {\n      r += 2;\n      t >>>= 2;\n    }\n    if ((t & 0x1) === 0) {\n      r++;\n    }\n    return r;\n  };\n\n  // Return number of used bits in a BN\n  BN.prototype.bitLength = function bitLength () {\n    var w = this.words[this.length - 1];\n    var hi = this._countBits(w);\n    return (this.length - 1) * 26 + hi;\n  };\n\n  function toBitArray (num) {\n    var w = new Array(num.bitLength());\n\n    for (var bit = 0; bit < w.length; bit++) {\n      var off = (bit / 26) | 0;\n      var wbit = bit % 26;\n\n      w[bit] = (num.words[off] & (1 << wbit)) >>> wbit;\n    }\n\n    return w;\n  }\n\n  // Number of trailing zero bits\n  BN.prototype.zeroBits = function zeroBits () {\n    if (this.isZero()) return 0;\n\n    var r = 0;\n    for (var i = 0; i < this.length; i++) {\n      var b = this._zeroBits(this.words[i]);\n      r += b;\n      if (b !== 26) break;\n    }\n    return r;\n  };\n\n  BN.prototype.byteLength = function byteLength () {\n    return Math.ceil(this.bitLength() / 8);\n  };\n\n  BN.prototype.toTwos = function toTwos (width) {\n    if (this.negative !== 0) {\n      return this.abs().inotn(width).iaddn(1);\n    }\n    return this.clone();\n  };\n\n  BN.prototype.fromTwos = function fromTwos (width) {\n    if (this.testn(width - 1)) {\n      return this.notn(width).iaddn(1).ineg();\n    }\n    return this.clone();\n  };\n\n  BN.prototype.isNeg = function isNeg () {\n    return this.negative !== 0;\n  };\n\n  // Return negative clone of `this`\n  BN.prototype.neg = function neg () {\n    return this.clone().ineg();\n  };\n\n  BN.prototype.ineg = function ineg () {\n    if (!this.isZero()) {\n      this.negative ^= 1;\n    }\n\n    return this;\n  };\n\n  // Or `num` with `this` in-place\n  BN.prototype.iuor = function iuor (num) {\n    while (this.length < num.length) {\n      this.words[this.length++] = 0;\n    }\n\n    for (var i = 0; i < num.length; i++) {\n      this.words[i] = this.words[i] | num.words[i];\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ior = function ior (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuor(num);\n  };\n\n  // Or `num` with `this`\n  BN.prototype.or = function or (num) {\n    if (this.length > num.length) return this.clone().ior(num);\n    return num.clone().ior(this);\n  };\n\n  BN.prototype.uor = function uor (num) {\n    if (this.length > num.length) return this.clone().iuor(num);\n    return num.clone().iuor(this);\n  };\n\n  // And `num` with `this` in-place\n  BN.prototype.iuand = function iuand (num) {\n    // b = min-length(num, this)\n    var b;\n    if (this.length > num.length) {\n      b = num;\n    } else {\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = this.words[i] & num.words[i];\n    }\n\n    this.length = b.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.iand = function iand (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuand(num);\n  };\n\n  // And `num` with `this`\n  BN.prototype.and = function and (num) {\n    if (this.length > num.length) return this.clone().iand(num);\n    return num.clone().iand(this);\n  };\n\n  BN.prototype.uand = function uand (num) {\n    if (this.length > num.length) return this.clone().iuand(num);\n    return num.clone().iuand(this);\n  };\n\n  // Xor `num` with `this` in-place\n  BN.prototype.iuxor = function iuxor (num) {\n    // a.length > b.length\n    var a;\n    var b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = a.words[i] ^ b.words[i];\n    }\n\n    if (this !== a) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = a.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.ixor = function ixor (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuxor(num);\n  };\n\n  // Xor `num` with `this`\n  BN.prototype.xor = function xor (num) {\n    if (this.length > num.length) return this.clone().ixor(num);\n    return num.clone().ixor(this);\n  };\n\n  BN.prototype.uxor = function uxor (num) {\n    if (this.length > num.length) return this.clone().iuxor(num);\n    return num.clone().iuxor(this);\n  };\n\n  // Not ``this`` with ``width`` bitwidth\n  BN.prototype.inotn = function inotn (width) {\n    assert(typeof width === 'number' && width >= 0);\n\n    var bytesNeeded = Math.ceil(width / 26) | 0;\n    var bitsLeft = width % 26;\n\n    // Extend the buffer with leading zeroes\n    this._expand(bytesNeeded);\n\n    if (bitsLeft > 0) {\n      bytesNeeded--;\n    }\n\n    // Handle complete words\n    for (var i = 0; i < bytesNeeded; i++) {\n      this.words[i] = ~this.words[i] & 0x3ffffff;\n    }\n\n    // Handle the residue\n    if (bitsLeft > 0) {\n      this.words[i] = ~this.words[i] & (0x3ffffff >> (26 - bitsLeft));\n    }\n\n    // And remove leading zeroes\n    return this.strip();\n  };\n\n  BN.prototype.notn = function notn (width) {\n    return this.clone().inotn(width);\n  };\n\n  // Set `bit` of `this`\n  BN.prototype.setn = function setn (bit, val) {\n    assert(typeof bit === 'number' && bit >= 0);\n\n    var off = (bit / 26) | 0;\n    var wbit = bit % 26;\n\n    this._expand(off + 1);\n\n    if (val) {\n      this.words[off] = this.words[off] | (1 << wbit);\n    } else {\n      this.words[off] = this.words[off] & ~(1 << wbit);\n    }\n\n    return this.strip();\n  };\n\n  // Add `num` to `this` in-place\n  BN.prototype.iadd = function iadd (num) {\n    var r;\n\n    // negative + positive\n    if (this.negative !== 0 && num.negative === 0) {\n      this.negative = 0;\n      r = this.isub(num);\n      this.negative ^= 1;\n      return this._normSign();\n\n    // positive + negative\n    } else if (this.negative === 0 && num.negative !== 0) {\n      num.negative = 0;\n      r = this.isub(num);\n      num.negative = 1;\n      return r._normSign();\n    }\n\n    // a.length > b.length\n    var a, b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) + (b.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n\n    this.length = a.length;\n    if (carry !== 0) {\n      this.words[this.length] = carry;\n      this.length++;\n    // Copy the rest of the words\n    } else if (a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    return this;\n  };\n\n  // Add `num` to `this`\n  BN.prototype.add = function add (num) {\n    var res;\n    if (num.negative !== 0 && this.negative === 0) {\n      num.negative = 0;\n      res = this.sub(num);\n      num.negative ^= 1;\n      return res;\n    } else if (num.negative === 0 && this.negative !== 0) {\n      this.negative = 0;\n      res = num.sub(this);\n      this.negative = 1;\n      return res;\n    }\n\n    if (this.length > num.length) return this.clone().iadd(num);\n\n    return num.clone().iadd(this);\n  };\n\n  // Subtract `num` from `this` in-place\n  BN.prototype.isub = function isub (num) {\n    // this - (-num) = this + num\n    if (num.negative !== 0) {\n      num.negative = 0;\n      var r = this.iadd(num);\n      num.negative = 1;\n      return r._normSign();\n\n    // -this - num = -(this + num)\n    } else if (this.negative !== 0) {\n      this.negative = 0;\n      this.iadd(num);\n      this.negative = 1;\n      return this._normSign();\n    }\n\n    // At this point both numbers are positive\n    var cmp = this.cmp(num);\n\n    // Optimization - zeroify\n    if (cmp === 0) {\n      this.negative = 0;\n      this.length = 1;\n      this.words[0] = 0;\n      return this;\n    }\n\n    // a > b\n    var a, b;\n    if (cmp > 0) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) - (b.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n\n    // Copy rest of the words\n    if (carry === 0 && i < a.length && a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = Math.max(this.length, i);\n\n    if (a !== this) {\n      this.negative = 1;\n    }\n\n    return this.strip();\n  };\n\n  // Subtract `num` from `this`\n  BN.prototype.sub = function sub (num) {\n    return this.clone().isub(num);\n  };\n\n  function smallMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    var len = (self.length + num.length) | 0;\n    out.length = len;\n    len = (len - 1) | 0;\n\n    // Peel one iteration (compiler can't do it, because of code complexity)\n    var a = self.words[0] | 0;\n    var b = num.words[0] | 0;\n    var r = a * b;\n\n    var lo = r & 0x3ffffff;\n    var carry = (r / 0x4000000) | 0;\n    out.words[0] = lo;\n\n    for (var k = 1; k < len; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = carry >>> 26;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = (k - j) | 0;\n        a = self.words[i] | 0;\n        b = num.words[j] | 0;\n        r = a * b + rword;\n        ncarry += (r / 0x4000000) | 0;\n        rword = r & 0x3ffffff;\n      }\n      out.words[k] = rword | 0;\n      carry = ncarry | 0;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry | 0;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  // TODO(indutny): it may be reasonable to omit it for users who don't need\n  // to work with 256-bit numbers, otherwise it gives 20% improvement for 256-bit\n  // multiplication (like elliptic secp256k1).\n  var comb10MulTo = function comb10MulTo (self, num, out) {\n    var a = self.words;\n    var b = num.words;\n    var o = out.words;\n    var c = 0;\n    var lo;\n    var mid;\n    var hi;\n    var a0 = a[0] | 0;\n    var al0 = a0 & 0x1fff;\n    var ah0 = a0 >>> 13;\n    var a1 = a[1] | 0;\n    var al1 = a1 & 0x1fff;\n    var ah1 = a1 >>> 13;\n    var a2 = a[2] | 0;\n    var al2 = a2 & 0x1fff;\n    var ah2 = a2 >>> 13;\n    var a3 = a[3] | 0;\n    var al3 = a3 & 0x1fff;\n    var ah3 = a3 >>> 13;\n    var a4 = a[4] | 0;\n    var al4 = a4 & 0x1fff;\n    var ah4 = a4 >>> 13;\n    var a5 = a[5] | 0;\n    var al5 = a5 & 0x1fff;\n    var ah5 = a5 >>> 13;\n    var a6 = a[6] | 0;\n    var al6 = a6 & 0x1fff;\n    var ah6 = a6 >>> 13;\n    var a7 = a[7] | 0;\n    var al7 = a7 & 0x1fff;\n    var ah7 = a7 >>> 13;\n    var a8 = a[8] | 0;\n    var al8 = a8 & 0x1fff;\n    var ah8 = a8 >>> 13;\n    var a9 = a[9] | 0;\n    var al9 = a9 & 0x1fff;\n    var ah9 = a9 >>> 13;\n    var b0 = b[0] | 0;\n    var bl0 = b0 & 0x1fff;\n    var bh0 = b0 >>> 13;\n    var b1 = b[1] | 0;\n    var bl1 = b1 & 0x1fff;\n    var bh1 = b1 >>> 13;\n    var b2 = b[2] | 0;\n    var bl2 = b2 & 0x1fff;\n    var bh2 = b2 >>> 13;\n    var b3 = b[3] | 0;\n    var bl3 = b3 & 0x1fff;\n    var bh3 = b3 >>> 13;\n    var b4 = b[4] | 0;\n    var bl4 = b4 & 0x1fff;\n    var bh4 = b4 >>> 13;\n    var b5 = b[5] | 0;\n    var bl5 = b5 & 0x1fff;\n    var bh5 = b5 >>> 13;\n    var b6 = b[6] | 0;\n    var bl6 = b6 & 0x1fff;\n    var bh6 = b6 >>> 13;\n    var b7 = b[7] | 0;\n    var bl7 = b7 & 0x1fff;\n    var bh7 = b7 >>> 13;\n    var b8 = b[8] | 0;\n    var bl8 = b8 & 0x1fff;\n    var bh8 = b8 >>> 13;\n    var b9 = b[9] | 0;\n    var bl9 = b9 & 0x1fff;\n    var bh9 = b9 >>> 13;\n\n    out.negative = self.negative ^ num.negative;\n    out.length = 19;\n    /* k = 0 */\n    lo = Math.imul(al0, bl0);\n    mid = Math.imul(al0, bh0);\n    mid = (mid + Math.imul(ah0, bl0)) | 0;\n    hi = Math.imul(ah0, bh0);\n    var w0 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w0 >>> 26)) | 0;\n    w0 &= 0x3ffffff;\n    /* k = 1 */\n    lo = Math.imul(al1, bl0);\n    mid = Math.imul(al1, bh0);\n    mid = (mid + Math.imul(ah1, bl0)) | 0;\n    hi = Math.imul(ah1, bh0);\n    lo = (lo + Math.imul(al0, bl1)) | 0;\n    mid = (mid + Math.imul(al0, bh1)) | 0;\n    mid = (mid + Math.imul(ah0, bl1)) | 0;\n    hi = (hi + Math.imul(ah0, bh1)) | 0;\n    var w1 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w1 >>> 26)) | 0;\n    w1 &= 0x3ffffff;\n    /* k = 2 */\n    lo = Math.imul(al2, bl0);\n    mid = Math.imul(al2, bh0);\n    mid = (mid + Math.imul(ah2, bl0)) | 0;\n    hi = Math.imul(ah2, bh0);\n    lo = (lo + Math.imul(al1, bl1)) | 0;\n    mid = (mid + Math.imul(al1, bh1)) | 0;\n    mid = (mid + Math.imul(ah1, bl1)) | 0;\n    hi = (hi + Math.imul(ah1, bh1)) | 0;\n    lo = (lo + Math.imul(al0, bl2)) | 0;\n    mid = (mid + Math.imul(al0, bh2)) | 0;\n    mid = (mid + Math.imul(ah0, bl2)) | 0;\n    hi = (hi + Math.imul(ah0, bh2)) | 0;\n    var w2 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w2 >>> 26)) | 0;\n    w2 &= 0x3ffffff;\n    /* k = 3 */\n    lo = Math.imul(al3, bl0);\n    mid = Math.imul(al3, bh0);\n    mid = (mid + Math.imul(ah3, bl0)) | 0;\n    hi = Math.imul(ah3, bh0);\n    lo = (lo + Math.imul(al2, bl1)) | 0;\n    mid = (mid + Math.imul(al2, bh1)) | 0;\n    mid = (mid + Math.imul(ah2, bl1)) | 0;\n    hi = (hi + Math.imul(ah2, bh1)) | 0;\n    lo = (lo + Math.imul(al1, bl2)) | 0;\n    mid = (mid + Math.imul(al1, bh2)) | 0;\n    mid = (mid + Math.imul(ah1, bl2)) | 0;\n    hi = (hi + Math.imul(ah1, bh2)) | 0;\n    lo = (lo + Math.imul(al0, bl3)) | 0;\n    mid = (mid + Math.imul(al0, bh3)) | 0;\n    mid = (mid + Math.imul(ah0, bl3)) | 0;\n    hi = (hi + Math.imul(ah0, bh3)) | 0;\n    var w3 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w3 >>> 26)) | 0;\n    w3 &= 0x3ffffff;\n    /* k = 4 */\n    lo = Math.imul(al4, bl0);\n    mid = Math.imul(al4, bh0);\n    mid = (mid + Math.imul(ah4, bl0)) | 0;\n    hi = Math.imul(ah4, bh0);\n    lo = (lo + Math.imul(al3, bl1)) | 0;\n    mid = (mid + Math.imul(al3, bh1)) | 0;\n    mid = (mid + Math.imul(ah3, bl1)) | 0;\n    hi = (hi + Math.imul(ah3, bh1)) | 0;\n    lo = (lo + Math.imul(al2, bl2)) | 0;\n    mid = (mid + Math.imul(al2, bh2)) | 0;\n    mid = (mid + Math.imul(ah2, bl2)) | 0;\n    hi = (hi + Math.imul(ah2, bh2)) | 0;\n    lo = (lo + Math.imul(al1, bl3)) | 0;\n    mid = (mid + Math.imul(al1, bh3)) | 0;\n    mid = (mid + Math.imul(ah1, bl3)) | 0;\n    hi = (hi + Math.imul(ah1, bh3)) | 0;\n    lo = (lo + Math.imul(al0, bl4)) | 0;\n    mid = (mid + Math.imul(al0, bh4)) | 0;\n    mid = (mid + Math.imul(ah0, bl4)) | 0;\n    hi = (hi + Math.imul(ah0, bh4)) | 0;\n    var w4 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w4 >>> 26)) | 0;\n    w4 &= 0x3ffffff;\n    /* k = 5 */\n    lo = Math.imul(al5, bl0);\n    mid = Math.imul(al5, bh0);\n    mid = (mid + Math.imul(ah5, bl0)) | 0;\n    hi = Math.imul(ah5, bh0);\n    lo = (lo + Math.imul(al4, bl1)) | 0;\n    mid = (mid + Math.imul(al4, bh1)) | 0;\n    mid = (mid + Math.imul(ah4, bl1)) | 0;\n    hi = (hi + Math.imul(ah4, bh1)) | 0;\n    lo = (lo + Math.imul(al3, bl2)) | 0;\n    mid = (mid + Math.imul(al3, bh2)) | 0;\n    mid = (mid + Math.imul(ah3, bl2)) | 0;\n    hi = (hi + Math.imul(ah3, bh2)) | 0;\n    lo = (lo + Math.imul(al2, bl3)) | 0;\n    mid = (mid + Math.imul(al2, bh3)) | 0;\n    mid = (mid + Math.imul(ah2, bl3)) | 0;\n    hi = (hi + Math.imul(ah2, bh3)) | 0;\n    lo = (lo + Math.imul(al1, bl4)) | 0;\n    mid = (mid + Math.imul(al1, bh4)) | 0;\n    mid = (mid + Math.imul(ah1, bl4)) | 0;\n    hi = (hi + Math.imul(ah1, bh4)) | 0;\n    lo = (lo + Math.imul(al0, bl5)) | 0;\n    mid = (mid + Math.imul(al0, bh5)) | 0;\n    mid = (mid + Math.imul(ah0, bl5)) | 0;\n    hi = (hi + Math.imul(ah0, bh5)) | 0;\n    var w5 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w5 >>> 26)) | 0;\n    w5 &= 0x3ffffff;\n    /* k = 6 */\n    lo = Math.imul(al6, bl0);\n    mid = Math.imul(al6, bh0);\n    mid = (mid + Math.imul(ah6, bl0)) | 0;\n    hi = Math.imul(ah6, bh0);\n    lo = (lo + Math.imul(al5, bl1)) | 0;\n    mid = (mid + Math.imul(al5, bh1)) | 0;\n    mid = (mid + Math.imul(ah5, bl1)) | 0;\n    hi = (hi + Math.imul(ah5, bh1)) | 0;\n    lo = (lo + Math.imul(al4, bl2)) | 0;\n    mid = (mid + Math.imul(al4, bh2)) | 0;\n    mid = (mid + Math.imul(ah4, bl2)) | 0;\n    hi = (hi + Math.imul(ah4, bh2)) | 0;\n    lo = (lo + Math.imul(al3, bl3)) | 0;\n    mid = (mid + Math.imul(al3, bh3)) | 0;\n    mid = (mid + Math.imul(ah3, bl3)) | 0;\n    hi = (hi + Math.imul(ah3, bh3)) | 0;\n    lo = (lo + Math.imul(al2, bl4)) | 0;\n    mid = (mid + Math.imul(al2, bh4)) | 0;\n    mid = (mid + Math.imul(ah2, bl4)) | 0;\n    hi = (hi + Math.imul(ah2, bh4)) | 0;\n    lo = (lo + Math.imul(al1, bl5)) | 0;\n    mid = (mid + Math.imul(al1, bh5)) | 0;\n    mid = (mid + Math.imul(ah1, bl5)) | 0;\n    hi = (hi + Math.imul(ah1, bh5)) | 0;\n    lo = (lo + Math.imul(al0, bl6)) | 0;\n    mid = (mid + Math.imul(al0, bh6)) | 0;\n    mid = (mid + Math.imul(ah0, bl6)) | 0;\n    hi = (hi + Math.imul(ah0, bh6)) | 0;\n    var w6 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w6 >>> 26)) | 0;\n    w6 &= 0x3ffffff;\n    /* k = 7 */\n    lo = Math.imul(al7, bl0);\n    mid = Math.imul(al7, bh0);\n    mid = (mid + Math.imul(ah7, bl0)) | 0;\n    hi = Math.imul(ah7, bh0);\n    lo = (lo + Math.imul(al6, bl1)) | 0;\n    mid = (mid + Math.imul(al6, bh1)) | 0;\n    mid = (mid + Math.imul(ah6, bl1)) | 0;\n    hi = (hi + Math.imul(ah6, bh1)) | 0;\n    lo = (lo + Math.imul(al5, bl2)) | 0;\n    mid = (mid + Math.imul(al5, bh2)) | 0;\n    mid = (mid + Math.imul(ah5, bl2)) | 0;\n    hi = (hi + Math.imul(ah5, bh2)) | 0;\n    lo = (lo + Math.imul(al4, bl3)) | 0;\n    mid = (mid + Math.imul(al4, bh3)) | 0;\n    mid = (mid + Math.imul(ah4, bl3)) | 0;\n    hi = (hi + Math.imul(ah4, bh3)) | 0;\n    lo = (lo + Math.imul(al3, bl4)) | 0;\n    mid = (mid + Math.imul(al3, bh4)) | 0;\n    mid = (mid + Math.imul(ah3, bl4)) | 0;\n    hi = (hi + Math.imul(ah3, bh4)) | 0;\n    lo = (lo + Math.imul(al2, bl5)) | 0;\n    mid = (mid + Math.imul(al2, bh5)) | 0;\n    mid = (mid + Math.imul(ah2, bl5)) | 0;\n    hi = (hi + Math.imul(ah2, bh5)) | 0;\n    lo = (lo + Math.imul(al1, bl6)) | 0;\n    mid = (mid + Math.imul(al1, bh6)) | 0;\n    mid = (mid + Math.imul(ah1, bl6)) | 0;\n    hi = (hi + Math.imul(ah1, bh6)) | 0;\n    lo = (lo + Math.imul(al0, bl7)) | 0;\n    mid = (mid + Math.imul(al0, bh7)) | 0;\n    mid = (mid + Math.imul(ah0, bl7)) | 0;\n    hi = (hi + Math.imul(ah0, bh7)) | 0;\n    var w7 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w7 >>> 26)) | 0;\n    w7 &= 0x3ffffff;\n    /* k = 8 */\n    lo = Math.imul(al8, bl0);\n    mid = Math.imul(al8, bh0);\n    mid = (mid + Math.imul(ah8, bl0)) | 0;\n    hi = Math.imul(ah8, bh0);\n    lo = (lo + Math.imul(al7, bl1)) | 0;\n    mid = (mid + Math.imul(al7, bh1)) | 0;\n    mid = (mid + Math.imul(ah7, bl1)) | 0;\n    hi = (hi + Math.imul(ah7, bh1)) | 0;\n    lo = (lo + Math.imul(al6, bl2)) | 0;\n    mid = (mid + Math.imul(al6, bh2)) | 0;\n    mid = (mid + Math.imul(ah6, bl2)) | 0;\n    hi = (hi + Math.imul(ah6, bh2)) | 0;\n    lo = (lo + Math.imul(al5, bl3)) | 0;\n    mid = (mid + Math.imul(al5, bh3)) | 0;\n    mid = (mid + Math.imul(ah5, bl3)) | 0;\n    hi = (hi + Math.imul(ah5, bh3)) | 0;\n    lo = (lo + Math.imul(al4, bl4)) | 0;\n    mid = (mid + Math.imul(al4, bh4)) | 0;\n    mid = (mid + Math.imul(ah4, bl4)) | 0;\n    hi = (hi + Math.imul(ah4, bh4)) | 0;\n    lo = (lo + Math.imul(al3, bl5)) | 0;\n    mid = (mid + Math.imul(al3, bh5)) | 0;\n    mid = (mid + Math.imul(ah3, bl5)) | 0;\n    hi = (hi + Math.imul(ah3, bh5)) | 0;\n    lo = (lo + Math.imul(al2, bl6)) | 0;\n    mid = (mid + Math.imul(al2, bh6)) | 0;\n    mid = (mid + Math.imul(ah2, bl6)) | 0;\n    hi = (hi + Math.imul(ah2, bh6)) | 0;\n    lo = (lo + Math.imul(al1, bl7)) | 0;\n    mid = (mid + Math.imul(al1, bh7)) | 0;\n    mid = (mid + Math.imul(ah1, bl7)) | 0;\n    hi = (hi + Math.imul(ah1, bh7)) | 0;\n    lo = (lo + Math.imul(al0, bl8)) | 0;\n    mid = (mid + Math.imul(al0, bh8)) | 0;\n    mid = (mid + Math.imul(ah0, bl8)) | 0;\n    hi = (hi + Math.imul(ah0, bh8)) | 0;\n    var w8 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w8 >>> 26)) | 0;\n    w8 &= 0x3ffffff;\n    /* k = 9 */\n    lo = Math.imul(al9, bl0);\n    mid = Math.imul(al9, bh0);\n    mid = (mid + Math.imul(ah9, bl0)) | 0;\n    hi = Math.imul(ah9, bh0);\n    lo = (lo + Math.imul(al8, bl1)) | 0;\n    mid = (mid + Math.imul(al8, bh1)) | 0;\n    mid = (mid + Math.imul(ah8, bl1)) | 0;\n    hi = (hi + Math.imul(ah8, bh1)) | 0;\n    lo = (lo + Math.imul(al7, bl2)) | 0;\n    mid = (mid + Math.imul(al7, bh2)) | 0;\n    mid = (mid + Math.imul(ah7, bl2)) | 0;\n    hi = (hi + Math.imul(ah7, bh2)) | 0;\n    lo = (lo + Math.imul(al6, bl3)) | 0;\n    mid = (mid + Math.imul(al6, bh3)) | 0;\n    mid = (mid + Math.imul(ah6, bl3)) | 0;\n    hi = (hi + Math.imul(ah6, bh3)) | 0;\n    lo = (lo + Math.imul(al5, bl4)) | 0;\n    mid = (mid + Math.imul(al5, bh4)) | 0;\n    mid = (mid + Math.imul(ah5, bl4)) | 0;\n    hi = (hi + Math.imul(ah5, bh4)) | 0;\n    lo = (lo + Math.imul(al4, bl5)) | 0;\n    mid = (mid + Math.imul(al4, bh5)) | 0;\n    mid = (mid + Math.imul(ah4, bl5)) | 0;\n    hi = (hi + Math.imul(ah4, bh5)) | 0;\n    lo = (lo + Math.imul(al3, bl6)) | 0;\n    mid = (mid + Math.imul(al3, bh6)) | 0;\n    mid = (mid + Math.imul(ah3, bl6)) | 0;\n    hi = (hi + Math.imul(ah3, bh6)) | 0;\n    lo = (lo + Math.imul(al2, bl7)) | 0;\n    mid = (mid + Math.imul(al2, bh7)) | 0;\n    mid = (mid + Math.imul(ah2, bl7)) | 0;\n    hi = (hi + Math.imul(ah2, bh7)) | 0;\n    lo = (lo + Math.imul(al1, bl8)) | 0;\n    mid = (mid + Math.imul(al1, bh8)) | 0;\n    mid = (mid + Math.imul(ah1, bl8)) | 0;\n    hi = (hi + Math.imul(ah1, bh8)) | 0;\n    lo = (lo + Math.imul(al0, bl9)) | 0;\n    mid = (mid + Math.imul(al0, bh9)) | 0;\n    mid = (mid + Math.imul(ah0, bl9)) | 0;\n    hi = (hi + Math.imul(ah0, bh9)) | 0;\n    var w9 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w9 >>> 26)) | 0;\n    w9 &= 0x3ffffff;\n    /* k = 10 */\n    lo = Math.imul(al9, bl1);\n    mid = Math.imul(al9, bh1);\n    mid = (mid + Math.imul(ah9, bl1)) | 0;\n    hi = Math.imul(ah9, bh1);\n    lo = (lo + Math.imul(al8, bl2)) | 0;\n    mid = (mid + Math.imul(al8, bh2)) | 0;\n    mid = (mid + Math.imul(ah8, bl2)) | 0;\n    hi = (hi + Math.imul(ah8, bh2)) | 0;\n    lo = (lo + Math.imul(al7, bl3)) | 0;\n    mid = (mid + Math.imul(al7, bh3)) | 0;\n    mid = (mid + Math.imul(ah7, bl3)) | 0;\n    hi = (hi + Math.imul(ah7, bh3)) | 0;\n    lo = (lo + Math.imul(al6, bl4)) | 0;\n    mid = (mid + Math.imul(al6, bh4)) | 0;\n    mid = (mid + Math.imul(ah6, bl4)) | 0;\n    hi = (hi + Math.imul(ah6, bh4)) | 0;\n    lo = (lo + Math.imul(al5, bl5)) | 0;\n    mid = (mid + Math.imul(al5, bh5)) | 0;\n    mid = (mid + Math.imul(ah5, bl5)) | 0;\n    hi = (hi + Math.imul(ah5, bh5)) | 0;\n    lo = (lo + Math.imul(al4, bl6)) | 0;\n    mid = (mid + Math.imul(al4, bh6)) | 0;\n    mid = (mid + Math.imul(ah4, bl6)) | 0;\n    hi = (hi + Math.imul(ah4, bh6)) | 0;\n    lo = (lo + Math.imul(al3, bl7)) | 0;\n    mid = (mid + Math.imul(al3, bh7)) | 0;\n    mid = (mid + Math.imul(ah3, bl7)) | 0;\n    hi = (hi + Math.imul(ah3, bh7)) | 0;\n    lo = (lo + Math.imul(al2, bl8)) | 0;\n    mid = (mid + Math.imul(al2, bh8)) | 0;\n    mid = (mid + Math.imul(ah2, bl8)) | 0;\n    hi = (hi + Math.imul(ah2, bh8)) | 0;\n    lo = (lo + Math.imul(al1, bl9)) | 0;\n    mid = (mid + Math.imul(al1, bh9)) | 0;\n    mid = (mid + Math.imul(ah1, bl9)) | 0;\n    hi = (hi + Math.imul(ah1, bh9)) | 0;\n    var w10 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w10 >>> 26)) | 0;\n    w10 &= 0x3ffffff;\n    /* k = 11 */\n    lo = Math.imul(al9, bl2);\n    mid = Math.imul(al9, bh2);\n    mid = (mid + Math.imul(ah9, bl2)) | 0;\n    hi = Math.imul(ah9, bh2);\n    lo = (lo + Math.imul(al8, bl3)) | 0;\n    mid = (mid + Math.imul(al8, bh3)) | 0;\n    mid = (mid + Math.imul(ah8, bl3)) | 0;\n    hi = (hi + Math.imul(ah8, bh3)) | 0;\n    lo = (lo + Math.imul(al7, bl4)) | 0;\n    mid = (mid + Math.imul(al7, bh4)) | 0;\n    mid = (mid + Math.imul(ah7, bl4)) | 0;\n    hi = (hi + Math.imul(ah7, bh4)) | 0;\n    lo = (lo + Math.imul(al6, bl5)) | 0;\n    mid = (mid + Math.imul(al6, bh5)) | 0;\n    mid = (mid + Math.imul(ah6, bl5)) | 0;\n    hi = (hi + Math.imul(ah6, bh5)) | 0;\n    lo = (lo + Math.imul(al5, bl6)) | 0;\n    mid = (mid + Math.imul(al5, bh6)) | 0;\n    mid = (mid + Math.imul(ah5, bl6)) | 0;\n    hi = (hi + Math.imul(ah5, bh6)) | 0;\n    lo = (lo + Math.imul(al4, bl7)) | 0;\n    mid = (mid + Math.imul(al4, bh7)) | 0;\n    mid = (mid + Math.imul(ah4, bl7)) | 0;\n    hi = (hi + Math.imul(ah4, bh7)) | 0;\n    lo = (lo + Math.imul(al3, bl8)) | 0;\n    mid = (mid + Math.imul(al3, bh8)) | 0;\n    mid = (mid + Math.imul(ah3, bl8)) | 0;\n    hi = (hi + Math.imul(ah3, bh8)) | 0;\n    lo = (lo + Math.imul(al2, bl9)) | 0;\n    mid = (mid + Math.imul(al2, bh9)) | 0;\n    mid = (mid + Math.imul(ah2, bl9)) | 0;\n    hi = (hi + Math.imul(ah2, bh9)) | 0;\n    var w11 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w11 >>> 26)) | 0;\n    w11 &= 0x3ffffff;\n    /* k = 12 */\n    lo = Math.imul(al9, bl3);\n    mid = Math.imul(al9, bh3);\n    mid = (mid + Math.imul(ah9, bl3)) | 0;\n    hi = Math.imul(ah9, bh3);\n    lo = (lo + Math.imul(al8, bl4)) | 0;\n    mid = (mid + Math.imul(al8, bh4)) | 0;\n    mid = (mid + Math.imul(ah8, bl4)) | 0;\n    hi = (hi + Math.imul(ah8, bh4)) | 0;\n    lo = (lo + Math.imul(al7, bl5)) | 0;\n    mid = (mid + Math.imul(al7, bh5)) | 0;\n    mid = (mid + Math.imul(ah7, bl5)) | 0;\n    hi = (hi + Math.imul(ah7, bh5)) | 0;\n    lo = (lo + Math.imul(al6, bl6)) | 0;\n    mid = (mid + Math.imul(al6, bh6)) | 0;\n    mid = (mid + Math.imul(ah6, bl6)) | 0;\n    hi = (hi + Math.imul(ah6, bh6)) | 0;\n    lo = (lo + Math.imul(al5, bl7)) | 0;\n    mid = (mid + Math.imul(al5, bh7)) | 0;\n    mid = (mid + Math.imul(ah5, bl7)) | 0;\n    hi = (hi + Math.imul(ah5, bh7)) | 0;\n    lo = (lo + Math.imul(al4, bl8)) | 0;\n    mid = (mid + Math.imul(al4, bh8)) | 0;\n    mid = (mid + Math.imul(ah4, bl8)) | 0;\n    hi = (hi + Math.imul(ah4, bh8)) | 0;\n    lo = (lo + Math.imul(al3, bl9)) | 0;\n    mid = (mid + Math.imul(al3, bh9)) | 0;\n    mid = (mid + Math.imul(ah3, bl9)) | 0;\n    hi = (hi + Math.imul(ah3, bh9)) | 0;\n    var w12 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w12 >>> 26)) | 0;\n    w12 &= 0x3ffffff;\n    /* k = 13 */\n    lo = Math.imul(al9, bl4);\n    mid = Math.imul(al9, bh4);\n    mid = (mid + Math.imul(ah9, bl4)) | 0;\n    hi = Math.imul(ah9, bh4);\n    lo = (lo + Math.imul(al8, bl5)) | 0;\n    mid = (mid + Math.imul(al8, bh5)) | 0;\n    mid = (mid + Math.imul(ah8, bl5)) | 0;\n    hi = (hi + Math.imul(ah8, bh5)) | 0;\n    lo = (lo + Math.imul(al7, bl6)) | 0;\n    mid = (mid + Math.imul(al7, bh6)) | 0;\n    mid = (mid + Math.imul(ah7, bl6)) | 0;\n    hi = (hi + Math.imul(ah7, bh6)) | 0;\n    lo = (lo + Math.imul(al6, bl7)) | 0;\n    mid = (mid + Math.imul(al6, bh7)) | 0;\n    mid = (mid + Math.imul(ah6, bl7)) | 0;\n    hi = (hi + Math.imul(ah6, bh7)) | 0;\n    lo = (lo + Math.imul(al5, bl8)) | 0;\n    mid = (mid + Math.imul(al5, bh8)) | 0;\n    mid = (mid + Math.imul(ah5, bl8)) | 0;\n    hi = (hi + Math.imul(ah5, bh8)) | 0;\n    lo = (lo + Math.imul(al4, bl9)) | 0;\n    mid = (mid + Math.imul(al4, bh9)) | 0;\n    mid = (mid + Math.imul(ah4, bl9)) | 0;\n    hi = (hi + Math.imul(ah4, bh9)) | 0;\n    var w13 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w13 >>> 26)) | 0;\n    w13 &= 0x3ffffff;\n    /* k = 14 */\n    lo = Math.imul(al9, bl5);\n    mid = Math.imul(al9, bh5);\n    mid = (mid + Math.imul(ah9, bl5)) | 0;\n    hi = Math.imul(ah9, bh5);\n    lo = (lo + Math.imul(al8, bl6)) | 0;\n    mid = (mid + Math.imul(al8, bh6)) | 0;\n    mid = (mid + Math.imul(ah8, bl6)) | 0;\n    hi = (hi + Math.imul(ah8, bh6)) | 0;\n    lo = (lo + Math.imul(al7, bl7)) | 0;\n    mid = (mid + Math.imul(al7, bh7)) | 0;\n    mid = (mid + Math.imul(ah7, bl7)) | 0;\n    hi = (hi + Math.imul(ah7, bh7)) | 0;\n    lo = (lo + Math.imul(al6, bl8)) | 0;\n    mid = (mid + Math.imul(al6, bh8)) | 0;\n    mid = (mid + Math.imul(ah6, bl8)) | 0;\n    hi = (hi + Math.imul(ah6, bh8)) | 0;\n    lo = (lo + Math.imul(al5, bl9)) | 0;\n    mid = (mid + Math.imul(al5, bh9)) | 0;\n    mid = (mid + Math.imul(ah5, bl9)) | 0;\n    hi = (hi + Math.imul(ah5, bh9)) | 0;\n    var w14 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w14 >>> 26)) | 0;\n    w14 &= 0x3ffffff;\n    /* k = 15 */\n    lo = Math.imul(al9, bl6);\n    mid = Math.imul(al9, bh6);\n    mid = (mid + Math.imul(ah9, bl6)) | 0;\n    hi = Math.imul(ah9, bh6);\n    lo = (lo + Math.imul(al8, bl7)) | 0;\n    mid = (mid + Math.imul(al8, bh7)) | 0;\n    mid = (mid + Math.imul(ah8, bl7)) | 0;\n    hi = (hi + Math.imul(ah8, bh7)) | 0;\n    lo = (lo + Math.imul(al7, bl8)) | 0;\n    mid = (mid + Math.imul(al7, bh8)) | 0;\n    mid = (mid + Math.imul(ah7, bl8)) | 0;\n    hi = (hi + Math.imul(ah7, bh8)) | 0;\n    lo = (lo + Math.imul(al6, bl9)) | 0;\n    mid = (mid + Math.imul(al6, bh9)) | 0;\n    mid = (mid + Math.imul(ah6, bl9)) | 0;\n    hi = (hi + Math.imul(ah6, bh9)) | 0;\n    var w15 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w15 >>> 26)) | 0;\n    w15 &= 0x3ffffff;\n    /* k = 16 */\n    lo = Math.imul(al9, bl7);\n    mid = Math.imul(al9, bh7);\n    mid = (mid + Math.imul(ah9, bl7)) | 0;\n    hi = Math.imul(ah9, bh7);\n    lo = (lo + Math.imul(al8, bl8)) | 0;\n    mid = (mid + Math.imul(al8, bh8)) | 0;\n    mid = (mid + Math.imul(ah8, bl8)) | 0;\n    hi = (hi + Math.imul(ah8, bh8)) | 0;\n    lo = (lo + Math.imul(al7, bl9)) | 0;\n    mid = (mid + Math.imul(al7, bh9)) | 0;\n    mid = (mid + Math.imul(ah7, bl9)) | 0;\n    hi = (hi + Math.imul(ah7, bh9)) | 0;\n    var w16 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w16 >>> 26)) | 0;\n    w16 &= 0x3ffffff;\n    /* k = 17 */\n    lo = Math.imul(al9, bl8);\n    mid = Math.imul(al9, bh8);\n    mid = (mid + Math.imul(ah9, bl8)) | 0;\n    hi = Math.imul(ah9, bh8);\n    lo = (lo + Math.imul(al8, bl9)) | 0;\n    mid = (mid + Math.imul(al8, bh9)) | 0;\n    mid = (mid + Math.imul(ah8, bl9)) | 0;\n    hi = (hi + Math.imul(ah8, bh9)) | 0;\n    var w17 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w17 >>> 26)) | 0;\n    w17 &= 0x3ffffff;\n    /* k = 18 */\n    lo = Math.imul(al9, bl9);\n    mid = Math.imul(al9, bh9);\n    mid = (mid + Math.imul(ah9, bl9)) | 0;\n    hi = Math.imul(ah9, bh9);\n    var w18 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w18 >>> 26)) | 0;\n    w18 &= 0x3ffffff;\n    o[0] = w0;\n    o[1] = w1;\n    o[2] = w2;\n    o[3] = w3;\n    o[4] = w4;\n    o[5] = w5;\n    o[6] = w6;\n    o[7] = w7;\n    o[8] = w8;\n    o[9] = w9;\n    o[10] = w10;\n    o[11] = w11;\n    o[12] = w12;\n    o[13] = w13;\n    o[14] = w14;\n    o[15] = w15;\n    o[16] = w16;\n    o[17] = w17;\n    o[18] = w18;\n    if (c !== 0) {\n      o[19] = c;\n      out.length++;\n    }\n    return out;\n  };\n\n  // Polyfill comb\n  if (!Math.imul) {\n    comb10MulTo = smallMulTo;\n  }\n\n  function bigMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    out.length = self.length + num.length;\n\n    var carry = 0;\n    var hncarry = 0;\n    for (var k = 0; k < out.length - 1; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = hncarry;\n      hncarry = 0;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = k - j;\n        var a = self.words[i] | 0;\n        var b = num.words[j] | 0;\n        var r = a * b;\n\n        var lo = r & 0x3ffffff;\n        ncarry = (ncarry + ((r / 0x4000000) | 0)) | 0;\n        lo = (lo + rword) | 0;\n        rword = lo & 0x3ffffff;\n        ncarry = (ncarry + (lo >>> 26)) | 0;\n\n        hncarry += ncarry >>> 26;\n        ncarry &= 0x3ffffff;\n      }\n      out.words[k] = rword;\n      carry = ncarry;\n      ncarry = hncarry;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  function jumboMulTo (self, num, out) {\n    var fftm = new FFTM();\n    return fftm.mulp(self, num, out);\n  }\n\n  BN.prototype.mulTo = function mulTo (num, out) {\n    var res;\n    var len = this.length + num.length;\n    if (this.length === 10 && num.length === 10) {\n      res = comb10MulTo(this, num, out);\n    } else if (len < 63) {\n      res = smallMulTo(this, num, out);\n    } else if (len < 1024) {\n      res = bigMulTo(this, num, out);\n    } else {\n      res = jumboMulTo(this, num, out);\n    }\n\n    return res;\n  };\n\n  // Cooley-Tukey algorithm for FFT\n  // slightly revisited to rely on looping instead of recursion\n\n  function FFTM (x, y) {\n    this.x = x;\n    this.y = y;\n  }\n\n  FFTM.prototype.makeRBT = function makeRBT (N) {\n    var t = new Array(N);\n    var l = BN.prototype._countBits(N) - 1;\n    for (var i = 0; i < N; i++) {\n      t[i] = this.revBin(i, l, N);\n    }\n\n    return t;\n  };\n\n  // Returns binary-reversed representation of `x`\n  FFTM.prototype.revBin = function revBin (x, l, N) {\n    if (x === 0 || x === N - 1) return x;\n\n    var rb = 0;\n    for (var i = 0; i < l; i++) {\n      rb |= (x & 1) << (l - i - 1);\n      x >>= 1;\n    }\n\n    return rb;\n  };\n\n  // Performs \"tweedling\" phase, therefore 'emulating'\n  // behaviour of the recursive algorithm\n  FFTM.prototype.permute = function permute (rbt, rws, iws, rtws, itws, N) {\n    for (var i = 0; i < N; i++) {\n      rtws[i] = rws[rbt[i]];\n      itws[i] = iws[rbt[i]];\n    }\n  };\n\n  FFTM.prototype.transform = function transform (rws, iws, rtws, itws, N, rbt) {\n    this.permute(rbt, rws, iws, rtws, itws, N);\n\n    for (var s = 1; s < N; s <<= 1) {\n      var l = s << 1;\n\n      var rtwdf = Math.cos(2 * Math.PI / l);\n      var itwdf = Math.sin(2 * Math.PI / l);\n\n      for (var p = 0; p < N; p += l) {\n        var rtwdf_ = rtwdf;\n        var itwdf_ = itwdf;\n\n        for (var j = 0; j < s; j++) {\n          var re = rtws[p + j];\n          var ie = itws[p + j];\n\n          var ro = rtws[p + j + s];\n          var io = itws[p + j + s];\n\n          var rx = rtwdf_ * ro - itwdf_ * io;\n\n          io = rtwdf_ * io + itwdf_ * ro;\n          ro = rx;\n\n          rtws[p + j] = re + ro;\n          itws[p + j] = ie + io;\n\n          rtws[p + j + s] = re - ro;\n          itws[p + j + s] = ie - io;\n\n          /* jshint maxdepth : false */\n          if (j !== l) {\n            rx = rtwdf * rtwdf_ - itwdf * itwdf_;\n\n            itwdf_ = rtwdf * itwdf_ + itwdf * rtwdf_;\n            rtwdf_ = rx;\n          }\n        }\n      }\n    }\n  };\n\n  FFTM.prototype.guessLen13b = function guessLen13b (n, m) {\n    var N = Math.max(m, n) | 1;\n    var odd = N & 1;\n    var i = 0;\n    for (N = N / 2 | 0; N; N = N >>> 1) {\n      i++;\n    }\n\n    return 1 << i + 1 + odd;\n  };\n\n  FFTM.prototype.conjugate = function conjugate (rws, iws, N) {\n    if (N <= 1) return;\n\n    for (var i = 0; i < N / 2; i++) {\n      var t = rws[i];\n\n      rws[i] = rws[N - i - 1];\n      rws[N - i - 1] = t;\n\n      t = iws[i];\n\n      iws[i] = -iws[N - i - 1];\n      iws[N - i - 1] = -t;\n    }\n  };\n\n  FFTM.prototype.normalize13b = function normalize13b (ws, N) {\n    var carry = 0;\n    for (var i = 0; i < N / 2; i++) {\n      var w = Math.round(ws[2 * i + 1] / N) * 0x2000 +\n        Math.round(ws[2 * i] / N) +\n        carry;\n\n      ws[i] = w & 0x3ffffff;\n\n      if (w < 0x4000000) {\n        carry = 0;\n      } else {\n        carry = w / 0x4000000 | 0;\n      }\n    }\n\n    return ws;\n  };\n\n  FFTM.prototype.convert13b = function convert13b (ws, len, rws, N) {\n    var carry = 0;\n    for (var i = 0; i < len; i++) {\n      carry = carry + (ws[i] | 0);\n\n      rws[2 * i] = carry & 0x1fff; carry = carry >>> 13;\n      rws[2 * i + 1] = carry & 0x1fff; carry = carry >>> 13;\n    }\n\n    // Pad with zeroes\n    for (i = 2 * len; i < N; ++i) {\n      rws[i] = 0;\n    }\n\n    assert(carry === 0);\n    assert((carry & ~0x1fff) === 0);\n  };\n\n  FFTM.prototype.stub = function stub (N) {\n    var ph = new Array(N);\n    for (var i = 0; i < N; i++) {\n      ph[i] = 0;\n    }\n\n    return ph;\n  };\n\n  FFTM.prototype.mulp = function mulp (x, y, out) {\n    var N = 2 * this.guessLen13b(x.length, y.length);\n\n    var rbt = this.makeRBT(N);\n\n    var _ = this.stub(N);\n\n    var rws = new Array(N);\n    var rwst = new Array(N);\n    var iwst = new Array(N);\n\n    var nrws = new Array(N);\n    var nrwst = new Array(N);\n    var niwst = new Array(N);\n\n    var rmws = out.words;\n    rmws.length = N;\n\n    this.convert13b(x.words, x.length, rws, N);\n    this.convert13b(y.words, y.length, nrws, N);\n\n    this.transform(rws, _, rwst, iwst, N, rbt);\n    this.transform(nrws, _, nrwst, niwst, N, rbt);\n\n    for (var i = 0; i < N; i++) {\n      var rx = rwst[i] * nrwst[i] - iwst[i] * niwst[i];\n      iwst[i] = rwst[i] * niwst[i] + iwst[i] * nrwst[i];\n      rwst[i] = rx;\n    }\n\n    this.conjugate(rwst, iwst, N);\n    this.transform(rwst, iwst, rmws, _, N, rbt);\n    this.conjugate(rmws, _, N);\n    this.normalize13b(rmws, N);\n\n    out.negative = x.negative ^ y.negative;\n    out.length = x.length + y.length;\n    return out.strip();\n  };\n\n  // Multiply `this` by `num`\n  BN.prototype.mul = function mul (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return this.mulTo(num, out);\n  };\n\n  // Multiply employing FFT\n  BN.prototype.mulf = function mulf (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return jumboMulTo(this, num, out);\n  };\n\n  // In-place Multiplication\n  BN.prototype.imul = function imul (num) {\n    return this.clone().mulTo(num, this);\n  };\n\n  BN.prototype.imuln = function imuln (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n\n    // Carry\n    var carry = 0;\n    for (var i = 0; i < this.length; i++) {\n      var w = (this.words[i] | 0) * num;\n      var lo = (w & 0x3ffffff) + (carry & 0x3ffffff);\n      carry >>= 26;\n      carry += (w / 0x4000000) | 0;\n      // NOTE: lo is 27bit maximum\n      carry += lo >>> 26;\n      this.words[i] = lo & 0x3ffffff;\n    }\n\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n\n    return this;\n  };\n\n  BN.prototype.muln = function muln (num) {\n    return this.clone().imuln(num);\n  };\n\n  // `this` * `this`\n  BN.prototype.sqr = function sqr () {\n    return this.mul(this);\n  };\n\n  // `this` * `this` in-place\n  BN.prototype.isqr = function isqr () {\n    return this.imul(this.clone());\n  };\n\n  // Math.pow(`this`, `num`)\n  BN.prototype.pow = function pow (num) {\n    var w = toBitArray(num);\n    if (w.length === 0) return new BN(1);\n\n    // Skip leading zeroes\n    var res = this;\n    for (var i = 0; i < w.length; i++, res = res.sqr()) {\n      if (w[i] !== 0) break;\n    }\n\n    if (++i < w.length) {\n      for (var q = res.sqr(); i < w.length; i++, q = q.sqr()) {\n        if (w[i] === 0) continue;\n\n        res = res.mul(q);\n      }\n    }\n\n    return res;\n  };\n\n  // Shift-left in-place\n  BN.prototype.iushln = function iushln (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n    var carryMask = (0x3ffffff >>> (26 - r)) << (26 - r);\n    var i;\n\n    if (r !== 0) {\n      var carry = 0;\n\n      for (i = 0; i < this.length; i++) {\n        var newCarry = this.words[i] & carryMask;\n        var c = ((this.words[i] | 0) - newCarry) << r;\n        this.words[i] = c | carry;\n        carry = newCarry >>> (26 - r);\n      }\n\n      if (carry) {\n        this.words[i] = carry;\n        this.length++;\n      }\n    }\n\n    if (s !== 0) {\n      for (i = this.length - 1; i >= 0; i--) {\n        this.words[i + s] = this.words[i];\n      }\n\n      for (i = 0; i < s; i++) {\n        this.words[i] = 0;\n      }\n\n      this.length += s;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishln = function ishln (bits) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushln(bits);\n  };\n\n  // Shift-right in-place\n  // NOTE: `hint` is a lowest bit before trailing zeroes\n  // NOTE: if `extended` is present - it will be filled with destroyed bits\n  BN.prototype.iushrn = function iushrn (bits, hint, extended) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var h;\n    if (hint) {\n      h = (hint - (hint % 26)) / 26;\n    } else {\n      h = 0;\n    }\n\n    var r = bits % 26;\n    var s = Math.min((bits - r) / 26, this.length);\n    var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n    var maskedWords = extended;\n\n    h -= s;\n    h = Math.max(0, h);\n\n    // Extended mode, copy masked part\n    if (maskedWords) {\n      for (var i = 0; i < s; i++) {\n        maskedWords.words[i] = this.words[i];\n      }\n      maskedWords.length = s;\n    }\n\n    if (s === 0) {\n      // No-op, we should not move anything at all\n    } else if (this.length > s) {\n      this.length -= s;\n      for (i = 0; i < this.length; i++) {\n        this.words[i] = this.words[i + s];\n      }\n    } else {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    var carry = 0;\n    for (i = this.length - 1; i >= 0 && (carry !== 0 || i >= h); i--) {\n      var word = this.words[i] | 0;\n      this.words[i] = (carry << (26 - r)) | (word >>> r);\n      carry = word & mask;\n    }\n\n    // Push carried bits as a mask\n    if (maskedWords && carry !== 0) {\n      maskedWords.words[maskedWords.length++] = carry;\n    }\n\n    if (this.length === 0) {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishrn = function ishrn (bits, hint, extended) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushrn(bits, hint, extended);\n  };\n\n  // Shift-left\n  BN.prototype.shln = function shln (bits) {\n    return this.clone().ishln(bits);\n  };\n\n  BN.prototype.ushln = function ushln (bits) {\n    return this.clone().iushln(bits);\n  };\n\n  // Shift-right\n  BN.prototype.shrn = function shrn (bits) {\n    return this.clone().ishrn(bits);\n  };\n\n  BN.prototype.ushrn = function ushrn (bits) {\n    return this.clone().iushrn(bits);\n  };\n\n  // Test if n bit is set\n  BN.prototype.testn = function testn (bit) {\n    assert(typeof bit === 'number' && bit >= 0);\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) return false;\n\n    // Check bit and return\n    var w = this.words[s];\n\n    return !!(w & q);\n  };\n\n  // Return only lowers bits of number (in-place)\n  BN.prototype.imaskn = function imaskn (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n\n    assert(this.negative === 0, 'imaskn works only with positive numbers');\n\n    if (this.length <= s) {\n      return this;\n    }\n\n    if (r !== 0) {\n      s++;\n    }\n    this.length = Math.min(s, this.length);\n\n    if (r !== 0) {\n      var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n      this.words[this.length - 1] &= mask;\n    }\n\n    return this.strip();\n  };\n\n  // Return only lowers bits of number\n  BN.prototype.maskn = function maskn (bits) {\n    return this.clone().imaskn(bits);\n  };\n\n  // Add plain number `num` to `this`\n  BN.prototype.iaddn = function iaddn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.isubn(-num);\n\n    // Possible sign change\n    if (this.negative !== 0) {\n      if (this.length === 1 && (this.words[0] | 0) < num) {\n        this.words[0] = num - (this.words[0] | 0);\n        this.negative = 0;\n        return this;\n      }\n\n      this.negative = 0;\n      this.isubn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    // Add without checks\n    return this._iaddn(num);\n  };\n\n  BN.prototype._iaddn = function _iaddn (num) {\n    this.words[0] += num;\n\n    // Carry\n    for (var i = 0; i < this.length && this.words[i] >= 0x4000000; i++) {\n      this.words[i] -= 0x4000000;\n      if (i === this.length - 1) {\n        this.words[i + 1] = 1;\n      } else {\n        this.words[i + 1]++;\n      }\n    }\n    this.length = Math.max(this.length, i + 1);\n\n    return this;\n  };\n\n  // Subtract plain number `num` from `this`\n  BN.prototype.isubn = function isubn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.iaddn(-num);\n\n    if (this.negative !== 0) {\n      this.negative = 0;\n      this.iaddn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    this.words[0] -= num;\n\n    if (this.length === 1 && this.words[0] < 0) {\n      this.words[0] = -this.words[0];\n      this.negative = 1;\n    } else {\n      // Carry\n      for (var i = 0; i < this.length && this.words[i] < 0; i++) {\n        this.words[i] += 0x4000000;\n        this.words[i + 1] -= 1;\n      }\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.addn = function addn (num) {\n    return this.clone().iaddn(num);\n  };\n\n  BN.prototype.subn = function subn (num) {\n    return this.clone().isubn(num);\n  };\n\n  BN.prototype.iabs = function iabs () {\n    this.negative = 0;\n\n    return this;\n  };\n\n  BN.prototype.abs = function abs () {\n    return this.clone().iabs();\n  };\n\n  BN.prototype._ishlnsubmul = function _ishlnsubmul (num, mul, shift) {\n    var len = num.length + shift;\n    var i;\n\n    this._expand(len);\n\n    var w;\n    var carry = 0;\n    for (i = 0; i < num.length; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      var right = (num.words[i] | 0) * mul;\n      w -= right & 0x3ffffff;\n      carry = (w >> 26) - ((right / 0x4000000) | 0);\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n    for (; i < this.length - shift; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      carry = w >> 26;\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n\n    if (carry === 0) return this.strip();\n\n    // Subtraction overflow\n    assert(carry === -1);\n    carry = 0;\n    for (i = 0; i < this.length; i++) {\n      w = -(this.words[i] | 0) + carry;\n      carry = w >> 26;\n      this.words[i] = w & 0x3ffffff;\n    }\n    this.negative = 1;\n\n    return this.strip();\n  };\n\n  BN.prototype._wordDiv = function _wordDiv (num, mode) {\n    var shift = this.length - num.length;\n\n    var a = this.clone();\n    var b = num;\n\n    // Normalize\n    var bhi = b.words[b.length - 1] | 0;\n    var bhiBits = this._countBits(bhi);\n    shift = 26 - bhiBits;\n    if (shift !== 0) {\n      b = b.ushln(shift);\n      a.iushln(shift);\n      bhi = b.words[b.length - 1] | 0;\n    }\n\n    // Initialize quotient\n    var m = a.length - b.length;\n    var q;\n\n    if (mode !== 'mod') {\n      q = new BN(null);\n      q.length = m + 1;\n      q.words = new Array(q.length);\n      for (var i = 0; i < q.length; i++) {\n        q.words[i] = 0;\n      }\n    }\n\n    var diff = a.clone()._ishlnsubmul(b, 1, m);\n    if (diff.negative === 0) {\n      a = diff;\n      if (q) {\n        q.words[m] = 1;\n      }\n    }\n\n    for (var j = m - 1; j >= 0; j--) {\n      var qj = (a.words[b.length + j] | 0) * 0x4000000 +\n        (a.words[b.length + j - 1] | 0);\n\n      // NOTE: (qj / bhi) is (0x3ffffff * 0x4000000 + 0x3ffffff) / 0x2000000 max\n      // (0x7ffffff)\n      qj = Math.min((qj / bhi) | 0, 0x3ffffff);\n\n      a._ishlnsubmul(b, qj, j);\n      while (a.negative !== 0) {\n        qj--;\n        a.negative = 0;\n        a._ishlnsubmul(b, 1, j);\n        if (!a.isZero()) {\n          a.negative ^= 1;\n        }\n      }\n      if (q) {\n        q.words[j] = qj;\n      }\n    }\n    if (q) {\n      q.strip();\n    }\n    a.strip();\n\n    // Denormalize\n    if (mode !== 'div' && shift !== 0) {\n      a.iushrn(shift);\n    }\n\n    return {\n      div: q || null,\n      mod: a\n    };\n  };\n\n  // NOTE: 1) `mode` can be set to `mod` to request mod only,\n  //       to `div` to request div only, or be absent to\n  //       request both div & mod\n  //       2) `positive` is true if unsigned mod is requested\n  BN.prototype.divmod = function divmod (num, mode, positive) {\n    assert(!num.isZero());\n\n    if (this.isZero()) {\n      return {\n        div: new BN(0),\n        mod: new BN(0)\n      };\n    }\n\n    var div, mod, res;\n    if (this.negative !== 0 && num.negative === 0) {\n      res = this.neg().divmod(num, mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.iadd(num);\n        }\n      }\n\n      return {\n        div: div,\n        mod: mod\n      };\n    }\n\n    if (this.negative === 0 && num.negative !== 0) {\n      res = this.divmod(num.neg(), mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      return {\n        div: div,\n        mod: res.mod\n      };\n    }\n\n    if ((this.negative & num.negative) !== 0) {\n      res = this.neg().divmod(num.neg(), mode);\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.isub(num);\n        }\n      }\n\n      return {\n        div: res.div,\n        mod: mod\n      };\n    }\n\n    // Both numbers are positive at this point\n\n    // Strip both numbers to approximate shift value\n    if (num.length > this.length || this.cmp(num) < 0) {\n      return {\n        div: new BN(0),\n        mod: this\n      };\n    }\n\n    // Very short reduction\n    if (num.length === 1) {\n      if (mode === 'div') {\n        return {\n          div: this.divn(num.words[0]),\n          mod: null\n        };\n      }\n\n      if (mode === 'mod') {\n        return {\n          div: null,\n          mod: new BN(this.modn(num.words[0]))\n        };\n      }\n\n      return {\n        div: this.divn(num.words[0]),\n        mod: new BN(this.modn(num.words[0]))\n      };\n    }\n\n    return this._wordDiv(num, mode);\n  };\n\n  // Find `this` / `num`\n  BN.prototype.div = function div (num) {\n    return this.divmod(num, 'div', false).div;\n  };\n\n  // Find `this` % `num`\n  BN.prototype.mod = function mod (num) {\n    return this.divmod(num, 'mod', false).mod;\n  };\n\n  BN.prototype.umod = function umod (num) {\n    return this.divmod(num, 'mod', true).mod;\n  };\n\n  // Find Round(`this` / `num`)\n  BN.prototype.divRound = function divRound (num) {\n    var dm = this.divmod(num);\n\n    // Fast case - exact division\n    if (dm.mod.isZero()) return dm.div;\n\n    var mod = dm.div.negative !== 0 ? dm.mod.isub(num) : dm.mod;\n\n    var half = num.ushrn(1);\n    var r2 = num.andln(1);\n    var cmp = mod.cmp(half);\n\n    // Round down\n    if (cmp < 0 || r2 === 1 && cmp === 0) return dm.div;\n\n    // Round up\n    return dm.div.negative !== 0 ? dm.div.isubn(1) : dm.div.iaddn(1);\n  };\n\n  BN.prototype.modn = function modn (num) {\n    assert(num <= 0x3ffffff);\n    var p = (1 << 26) % num;\n\n    var acc = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      acc = (p * acc + (this.words[i] | 0)) % num;\n    }\n\n    return acc;\n  };\n\n  // In-place division by number\n  BN.prototype.idivn = function idivn (num) {\n    assert(num <= 0x3ffffff);\n\n    var carry = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var w = (this.words[i] | 0) + carry * 0x4000000;\n      this.words[i] = (w / num) | 0;\n      carry = w % num;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.divn = function divn (num) {\n    return this.clone().idivn(num);\n  };\n\n  BN.prototype.egcd = function egcd (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var x = this;\n    var y = p.clone();\n\n    if (x.negative !== 0) {\n      x = x.umod(p);\n    } else {\n      x = x.clone();\n    }\n\n    // A * x + B * y = x\n    var A = new BN(1);\n    var B = new BN(0);\n\n    // C * x + D * y = y\n    var C = new BN(0);\n    var D = new BN(1);\n\n    var g = 0;\n\n    while (x.isEven() && y.isEven()) {\n      x.iushrn(1);\n      y.iushrn(1);\n      ++g;\n    }\n\n    var yp = y.clone();\n    var xp = x.clone();\n\n    while (!x.isZero()) {\n      for (var i = 0, im = 1; (x.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        x.iushrn(i);\n        while (i-- > 0) {\n          if (A.isOdd() || B.isOdd()) {\n            A.iadd(yp);\n            B.isub(xp);\n          }\n\n          A.iushrn(1);\n          B.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (y.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        y.iushrn(j);\n        while (j-- > 0) {\n          if (C.isOdd() || D.isOdd()) {\n            C.iadd(yp);\n            D.isub(xp);\n          }\n\n          C.iushrn(1);\n          D.iushrn(1);\n        }\n      }\n\n      if (x.cmp(y) >= 0) {\n        x.isub(y);\n        A.isub(C);\n        B.isub(D);\n      } else {\n        y.isub(x);\n        C.isub(A);\n        D.isub(B);\n      }\n    }\n\n    return {\n      a: C,\n      b: D,\n      gcd: y.iushln(g)\n    };\n  };\n\n  // This is reduced incarnation of the binary EEA\n  // above, designated to invert members of the\n  // _prime_ fields F(p) at a maximal speed\n  BN.prototype._invmp = function _invmp (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var a = this;\n    var b = p.clone();\n\n    if (a.negative !== 0) {\n      a = a.umod(p);\n    } else {\n      a = a.clone();\n    }\n\n    var x1 = new BN(1);\n    var x2 = new BN(0);\n\n    var delta = b.clone();\n\n    while (a.cmpn(1) > 0 && b.cmpn(1) > 0) {\n      for (var i = 0, im = 1; (a.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        a.iushrn(i);\n        while (i-- > 0) {\n          if (x1.isOdd()) {\n            x1.iadd(delta);\n          }\n\n          x1.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (b.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        b.iushrn(j);\n        while (j-- > 0) {\n          if (x2.isOdd()) {\n            x2.iadd(delta);\n          }\n\n          x2.iushrn(1);\n        }\n      }\n\n      if (a.cmp(b) >= 0) {\n        a.isub(b);\n        x1.isub(x2);\n      } else {\n        b.isub(a);\n        x2.isub(x1);\n      }\n    }\n\n    var res;\n    if (a.cmpn(1) === 0) {\n      res = x1;\n    } else {\n      res = x2;\n    }\n\n    if (res.cmpn(0) < 0) {\n      res.iadd(p);\n    }\n\n    return res;\n  };\n\n  BN.prototype.gcd = function gcd (num) {\n    if (this.isZero()) return num.abs();\n    if (num.isZero()) return this.abs();\n\n    var a = this.clone();\n    var b = num.clone();\n    a.negative = 0;\n    b.negative = 0;\n\n    // Remove common factor of two\n    for (var shift = 0; a.isEven() && b.isEven(); shift++) {\n      a.iushrn(1);\n      b.iushrn(1);\n    }\n\n    do {\n      while (a.isEven()) {\n        a.iushrn(1);\n      }\n      while (b.isEven()) {\n        b.iushrn(1);\n      }\n\n      var r = a.cmp(b);\n      if (r < 0) {\n        // Swap `a` and `b` to make `a` always bigger than `b`\n        var t = a;\n        a = b;\n        b = t;\n      } else if (r === 0 || b.cmpn(1) === 0) {\n        break;\n      }\n\n      a.isub(b);\n    } while (true);\n\n    return b.iushln(shift);\n  };\n\n  // Invert number in the field F(num)\n  BN.prototype.invm = function invm (num) {\n    return this.egcd(num).a.umod(num);\n  };\n\n  BN.prototype.isEven = function isEven () {\n    return (this.words[0] & 1) === 0;\n  };\n\n  BN.prototype.isOdd = function isOdd () {\n    return (this.words[0] & 1) === 1;\n  };\n\n  // And first word and num\n  BN.prototype.andln = function andln (num) {\n    return this.words[0] & num;\n  };\n\n  // Increment at the bit position in-line\n  BN.prototype.bincn = function bincn (bit) {\n    assert(typeof bit === 'number');\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) {\n      this._expand(s + 1);\n      this.words[s] |= q;\n      return this;\n    }\n\n    // Add bit and propagate, if needed\n    var carry = q;\n    for (var i = s; carry !== 0 && i < this.length; i++) {\n      var w = this.words[i] | 0;\n      w += carry;\n      carry = w >>> 26;\n      w &= 0x3ffffff;\n      this.words[i] = w;\n    }\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n    return this;\n  };\n\n  BN.prototype.isZero = function isZero () {\n    return this.length === 1 && this.words[0] === 0;\n  };\n\n  BN.prototype.cmpn = function cmpn (num) {\n    var negative = num < 0;\n\n    if (this.negative !== 0 && !negative) return -1;\n    if (this.negative === 0 && negative) return 1;\n\n    this.strip();\n\n    var res;\n    if (this.length > 1) {\n      res = 1;\n    } else {\n      if (negative) {\n        num = -num;\n      }\n\n      assert(num <= 0x3ffffff, 'Number is too big');\n\n      var w = this.words[0] | 0;\n      res = w === num ? 0 : w < num ? -1 : 1;\n    }\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Compare two numbers and return:\n  // 1 - if `this` > `num`\n  // 0 - if `this` == `num`\n  // -1 - if `this` < `num`\n  BN.prototype.cmp = function cmp (num) {\n    if (this.negative !== 0 && num.negative === 0) return -1;\n    if (this.negative === 0 && num.negative !== 0) return 1;\n\n    var res = this.ucmp(num);\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Unsigned comparison\n  BN.prototype.ucmp = function ucmp (num) {\n    // At this point both numbers have the same sign\n    if (this.length > num.length) return 1;\n    if (this.length < num.length) return -1;\n\n    var res = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var a = this.words[i] | 0;\n      var b = num.words[i] | 0;\n\n      if (a === b) continue;\n      if (a < b) {\n        res = -1;\n      } else if (a > b) {\n        res = 1;\n      }\n      break;\n    }\n    return res;\n  };\n\n  BN.prototype.gtn = function gtn (num) {\n    return this.cmpn(num) === 1;\n  };\n\n  BN.prototype.gt = function gt (num) {\n    return this.cmp(num) === 1;\n  };\n\n  BN.prototype.gten = function gten (num) {\n    return this.cmpn(num) >= 0;\n  };\n\n  BN.prototype.gte = function gte (num) {\n    return this.cmp(num) >= 0;\n  };\n\n  BN.prototype.ltn = function ltn (num) {\n    return this.cmpn(num) === -1;\n  };\n\n  BN.prototype.lt = function lt (num) {\n    return this.cmp(num) === -1;\n  };\n\n  BN.prototype.lten = function lten (num) {\n    return this.cmpn(num) <= 0;\n  };\n\n  BN.prototype.lte = function lte (num) {\n    return this.cmp(num) <= 0;\n  };\n\n  BN.prototype.eqn = function eqn (num) {\n    return this.cmpn(num) === 0;\n  };\n\n  BN.prototype.eq = function eq (num) {\n    return this.cmp(num) === 0;\n  };\n\n  //\n  // A reduce context, could be using montgomery or something better, depending\n  // on the `m` itself.\n  //\n  BN.red = function red (num) {\n    return new Red(num);\n  };\n\n  BN.prototype.toRed = function toRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    assert(this.negative === 0, 'red works only with positives');\n    return ctx.convertTo(this)._forceRed(ctx);\n  };\n\n  BN.prototype.fromRed = function fromRed () {\n    assert(this.red, 'fromRed works only with numbers in reduction context');\n    return this.red.convertFrom(this);\n  };\n\n  BN.prototype._forceRed = function _forceRed (ctx) {\n    this.red = ctx;\n    return this;\n  };\n\n  BN.prototype.forceRed = function forceRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    return this._forceRed(ctx);\n  };\n\n  BN.prototype.redAdd = function redAdd (num) {\n    assert(this.red, 'redAdd works only with red numbers');\n    return this.red.add(this, num);\n  };\n\n  BN.prototype.redIAdd = function redIAdd (num) {\n    assert(this.red, 'redIAdd works only with red numbers');\n    return this.red.iadd(this, num);\n  };\n\n  BN.prototype.redSub = function redSub (num) {\n    assert(this.red, 'redSub works only with red numbers');\n    return this.red.sub(this, num);\n  };\n\n  BN.prototype.redISub = function redISub (num) {\n    assert(this.red, 'redISub works only with red numbers');\n    return this.red.isub(this, num);\n  };\n\n  BN.prototype.redShl = function redShl (num) {\n    assert(this.red, 'redShl works only with red numbers');\n    return this.red.shl(this, num);\n  };\n\n  BN.prototype.redMul = function redMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.mul(this, num);\n  };\n\n  BN.prototype.redIMul = function redIMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.imul(this, num);\n  };\n\n  BN.prototype.redSqr = function redSqr () {\n    assert(this.red, 'redSqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqr(this);\n  };\n\n  BN.prototype.redISqr = function redISqr () {\n    assert(this.red, 'redISqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.isqr(this);\n  };\n\n  // Square root over p\n  BN.prototype.redSqrt = function redSqrt () {\n    assert(this.red, 'redSqrt works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqrt(this);\n  };\n\n  BN.prototype.redInvm = function redInvm () {\n    assert(this.red, 'redInvm works only with red numbers');\n    this.red._verify1(this);\n    return this.red.invm(this);\n  };\n\n  // Return negative clone of `this` % `red modulo`\n  BN.prototype.redNeg = function redNeg () {\n    assert(this.red, 'redNeg works only with red numbers');\n    this.red._verify1(this);\n    return this.red.neg(this);\n  };\n\n  BN.prototype.redPow = function redPow (num) {\n    assert(this.red && !num.red, 'redPow(normalNum)');\n    this.red._verify1(this);\n    return this.red.pow(this, num);\n  };\n\n  // Prime numbers with efficient reduction\n  var primes = {\n    k256: null,\n    p224: null,\n    p192: null,\n    p25519: null\n  };\n\n  // Pseudo-Mersenne prime\n  function MPrime (name, p) {\n    // P = 2 ^ N - K\n    this.name = name;\n    this.p = new BN(p, 16);\n    this.n = this.p.bitLength();\n    this.k = new BN(1).iushln(this.n).isub(this.p);\n\n    this.tmp = this._tmp();\n  }\n\n  MPrime.prototype._tmp = function _tmp () {\n    var tmp = new BN(null);\n    tmp.words = new Array(Math.ceil(this.n / 13));\n    return tmp;\n  };\n\n  MPrime.prototype.ireduce = function ireduce (num) {\n    // Assumes that `num` is less than `P^2`\n    // num = HI * (2 ^ N - K) + HI * K + LO = HI * K + LO (mod P)\n    var r = num;\n    var rlen;\n\n    do {\n      this.split(r, this.tmp);\n      r = this.imulK(r);\n      r = r.iadd(this.tmp);\n      rlen = r.bitLength();\n    } while (rlen > this.n);\n\n    var cmp = rlen < this.n ? -1 : r.ucmp(this.p);\n    if (cmp === 0) {\n      r.words[0] = 0;\n      r.length = 1;\n    } else if (cmp > 0) {\n      r.isub(this.p);\n    } else {\n      r.strip();\n    }\n\n    return r;\n  };\n\n  MPrime.prototype.split = function split (input, out) {\n    input.iushrn(this.n, 0, out);\n  };\n\n  MPrime.prototype.imulK = function imulK (num) {\n    return num.imul(this.k);\n  };\n\n  function K256 () {\n    MPrime.call(\n      this,\n      'k256',\n      'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f');\n  }\n  inherits(K256, MPrime);\n\n  K256.prototype.split = function split (input, output) {\n    // 256 = 9 * 26 + 22\n    var mask = 0x3fffff;\n\n    var outLen = Math.min(input.length, 9);\n    for (var i = 0; i < outLen; i++) {\n      output.words[i] = input.words[i];\n    }\n    output.length = outLen;\n\n    if (input.length <= 9) {\n      input.words[0] = 0;\n      input.length = 1;\n      return;\n    }\n\n    // Shift by 9 limbs\n    var prev = input.words[9];\n    output.words[output.length++] = prev & mask;\n\n    for (i = 10; i < input.length; i++) {\n      var next = input.words[i] | 0;\n      input.words[i - 10] = ((next & mask) << 4) | (prev >>> 22);\n      prev = next;\n    }\n    prev >>>= 22;\n    input.words[i - 10] = prev;\n    if (prev === 0 && input.length > 10) {\n      input.length -= 10;\n    } else {\n      input.length -= 9;\n    }\n  };\n\n  K256.prototype.imulK = function imulK (num) {\n    // K = 0x1000003d1 = [ 0x40, 0x3d1 ]\n    num.words[num.length] = 0;\n    num.words[num.length + 1] = 0;\n    num.length += 2;\n\n    // bounded at: 0x40 * 0x3ffffff + 0x3d0 = 0x100000390\n    var lo = 0;\n    for (var i = 0; i < num.length; i++) {\n      var w = num.words[i] | 0;\n      lo += w * 0x3d1;\n      num.words[i] = lo & 0x3ffffff;\n      lo = w * 0x40 + ((lo / 0x4000000) | 0);\n    }\n\n    // Fast length reduction\n    if (num.words[num.length - 1] === 0) {\n      num.length--;\n      if (num.words[num.length - 1] === 0) {\n        num.length--;\n      }\n    }\n    return num;\n  };\n\n  function P224 () {\n    MPrime.call(\n      this,\n      'p224',\n      'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001');\n  }\n  inherits(P224, MPrime);\n\n  function P192 () {\n    MPrime.call(\n      this,\n      'p192',\n      'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff');\n  }\n  inherits(P192, MPrime);\n\n  function P25519 () {\n    // 2 ^ 255 - 19\n    MPrime.call(\n      this,\n      '25519',\n      '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed');\n  }\n  inherits(P25519, MPrime);\n\n  P25519.prototype.imulK = function imulK (num) {\n    // K = 0x13\n    var carry = 0;\n    for (var i = 0; i < num.length; i++) {\n      var hi = (num.words[i] | 0) * 0x13 + carry;\n      var lo = hi & 0x3ffffff;\n      hi >>>= 26;\n\n      num.words[i] = lo;\n      carry = hi;\n    }\n    if (carry !== 0) {\n      num.words[num.length++] = carry;\n    }\n    return num;\n  };\n\n  // Exported mostly for testing purposes, use plain name instead\n  BN._prime = function prime (name) {\n    // Cached version of prime\n    if (primes[name]) return primes[name];\n\n    var prime;\n    if (name === 'k256') {\n      prime = new K256();\n    } else if (name === 'p224') {\n      prime = new P224();\n    } else if (name === 'p192') {\n      prime = new P192();\n    } else if (name === 'p25519') {\n      prime = new P25519();\n    } else {\n      throw new Error('Unknown prime ' + name);\n    }\n    primes[name] = prime;\n\n    return prime;\n  };\n\n  //\n  // Base reduction engine\n  //\n  function Red (m) {\n    if (typeof m === 'string') {\n      var prime = BN._prime(m);\n      this.m = prime.p;\n      this.prime = prime;\n    } else {\n      assert(m.gtn(1), 'modulus must be greater than 1');\n      this.m = m;\n      this.prime = null;\n    }\n  }\n\n  Red.prototype._verify1 = function _verify1 (a) {\n    assert(a.negative === 0, 'red works only with positives');\n    assert(a.red, 'red works only with red numbers');\n  };\n\n  Red.prototype._verify2 = function _verify2 (a, b) {\n    assert((a.negative | b.negative) === 0, 'red works only with positives');\n    assert(a.red && a.red === b.red,\n      'red works only with red numbers');\n  };\n\n  Red.prototype.imod = function imod (a) {\n    if (this.prime) return this.prime.ireduce(a)._forceRed(this);\n    return a.umod(this.m)._forceRed(this);\n  };\n\n  Red.prototype.neg = function neg (a) {\n    if (a.isZero()) {\n      return a.clone();\n    }\n\n    return this.m.sub(a)._forceRed(this);\n  };\n\n  Red.prototype.add = function add (a, b) {\n    this._verify2(a, b);\n\n    var res = a.add(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.iadd = function iadd (a, b) {\n    this._verify2(a, b);\n\n    var res = a.iadd(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.sub = function sub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.sub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.isub = function isub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.isub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.shl = function shl (a, num) {\n    this._verify1(a);\n    return this.imod(a.ushln(num));\n  };\n\n  Red.prototype.imul = function imul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.imul(b));\n  };\n\n  Red.prototype.mul = function mul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.mul(b));\n  };\n\n  Red.prototype.isqr = function isqr (a) {\n    return this.imul(a, a.clone());\n  };\n\n  Red.prototype.sqr = function sqr (a) {\n    return this.mul(a, a);\n  };\n\n  Red.prototype.sqrt = function sqrt (a) {\n    if (a.isZero()) return a.clone();\n\n    var mod3 = this.m.andln(3);\n    assert(mod3 % 2 === 1);\n\n    // Fast case\n    if (mod3 === 3) {\n      var pow = this.m.add(new BN(1)).iushrn(2);\n      return this.pow(a, pow);\n    }\n\n    // Tonelli-Shanks algorithm (Totally unoptimized and slow)\n    //\n    // Find Q and S, that Q * 2 ^ S = (P - 1)\n    var q = this.m.subn(1);\n    var s = 0;\n    while (!q.isZero() && q.andln(1) === 0) {\n      s++;\n      q.iushrn(1);\n    }\n    assert(!q.isZero());\n\n    var one = new BN(1).toRed(this);\n    var nOne = one.redNeg();\n\n    // Find quadratic non-residue\n    // NOTE: Max is such because of generalized Riemann hypothesis.\n    var lpow = this.m.subn(1).iushrn(1);\n    var z = this.m.bitLength();\n    z = new BN(2 * z * z).toRed(this);\n\n    while (this.pow(z, lpow).cmp(nOne) !== 0) {\n      z.redIAdd(nOne);\n    }\n\n    var c = this.pow(z, q);\n    var r = this.pow(a, q.addn(1).iushrn(1));\n    var t = this.pow(a, q);\n    var m = s;\n    while (t.cmp(one) !== 0) {\n      var tmp = t;\n      for (var i = 0; tmp.cmp(one) !== 0; i++) {\n        tmp = tmp.redSqr();\n      }\n      assert(i < m);\n      var b = this.pow(c, new BN(1).iushln(m - i - 1));\n\n      r = r.redMul(b);\n      c = b.redSqr();\n      t = t.redMul(c);\n      m = i;\n    }\n\n    return r;\n  };\n\n  Red.prototype.invm = function invm (a) {\n    var inv = a._invmp(this.m);\n    if (inv.negative !== 0) {\n      inv.negative = 0;\n      return this.imod(inv).redNeg();\n    } else {\n      return this.imod(inv);\n    }\n  };\n\n  Red.prototype.pow = function pow (a, num) {\n    if (num.isZero()) return new BN(1).toRed(this);\n    if (num.cmpn(1) === 0) return a.clone();\n\n    var windowSize = 4;\n    var wnd = new Array(1 << windowSize);\n    wnd[0] = new BN(1).toRed(this);\n    wnd[1] = a;\n    for (var i = 2; i < wnd.length; i++) {\n      wnd[i] = this.mul(wnd[i - 1], a);\n    }\n\n    var res = wnd[0];\n    var current = 0;\n    var currentLen = 0;\n    var start = num.bitLength() % 26;\n    if (start === 0) {\n      start = 26;\n    }\n\n    for (i = num.length - 1; i >= 0; i--) {\n      var word = num.words[i];\n      for (var j = start - 1; j >= 0; j--) {\n        var bit = (word >> j) & 1;\n        if (res !== wnd[0]) {\n          res = this.sqr(res);\n        }\n\n        if (bit === 0 && current === 0) {\n          currentLen = 0;\n          continue;\n        }\n\n        current <<= 1;\n        current |= bit;\n        currentLen++;\n        if (currentLen !== windowSize && (i !== 0 || j !== 0)) continue;\n\n        res = this.mul(res, wnd[current]);\n        currentLen = 0;\n        current = 0;\n      }\n      start = 26;\n    }\n\n    return res;\n  };\n\n  Red.prototype.convertTo = function convertTo (num) {\n    var r = num.umod(this.m);\n\n    return r === num ? r.clone() : r;\n  };\n\n  Red.prototype.convertFrom = function convertFrom (num) {\n    var res = num.clone();\n    res.red = null;\n    return res;\n  };\n\n  //\n  // Montgomery method engine\n  //\n\n  BN.mont = function mont (num) {\n    return new Mont(num);\n  };\n\n  function Mont (m) {\n    Red.call(this, m);\n\n    this.shift = this.m.bitLength();\n    if (this.shift % 26 !== 0) {\n      this.shift += 26 - (this.shift % 26);\n    }\n\n    this.r = new BN(1).iushln(this.shift);\n    this.r2 = this.imod(this.r.sqr());\n    this.rinv = this.r._invmp(this.m);\n\n    this.minv = this.rinv.mul(this.r).isubn(1).div(this.m);\n    this.minv = this.minv.umod(this.r);\n    this.minv = this.r.sub(this.minv);\n  }\n  inherits(Mont, Red);\n\n  Mont.prototype.convertTo = function convertTo (num) {\n    return this.imod(num.ushln(this.shift));\n  };\n\n  Mont.prototype.convertFrom = function convertFrom (num) {\n    var r = this.imod(num.mul(this.rinv));\n    r.red = null;\n    return r;\n  };\n\n  Mont.prototype.imul = function imul (a, b) {\n    if (a.isZero() || b.isZero()) {\n      a.words[0] = 0;\n      a.length = 1;\n      return a;\n    }\n\n    var t = a.imul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.mul = function mul (a, b) {\n    if (a.isZero() || b.isZero()) return new BN(0)._forceRed(this);\n\n    var t = a.mul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.invm = function invm (a) {\n    // (AR)^-1 * R^2 = (A^-1 * R^-1) * R^2 = A^-1 * R\n    var res = this.imod(a._invmp(this.m).mul(this.r2));\n    return res._forceRed(this);\n  };\n})(typeof module === 'undefined' || module, this);\n","/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n * @license  MIT\n */\n/* eslint-disable no-proto */\n\n'use strict'\n\nvar base64 = require('base64-js')\nvar ieee754 = require('ieee754')\nvar isArray = require('isarray')\n\nexports.Buffer = Buffer\nexports.SlowBuffer = SlowBuffer\nexports.INSPECT_MAX_BYTES = 50\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n *   === true    Use Uint8Array implementation (fastest)\n *   === false   Use Object implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * Due to various browser bugs, sometimes the Object implementation will be used even\n * when the browser supports typed arrays.\n *\n * Note:\n *\n *   - Firefox 4-29 lacks support for adding new properties to `Uint8Array` instances,\n *     See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438.\n *\n *   - Chrome 9-10 is missing the `TypedArray.prototype.subarray` function.\n *\n *   - IE10 has a broken `TypedArray.prototype.subarray` function which returns arrays of\n *     incorrect length in some situations.\n\n * We detect these buggy browsers and set `Buffer.TYPED_ARRAY_SUPPORT` to `false` so they\n * get the Object implementation, which is slower but behaves correctly.\n */\nBuffer.TYPED_ARRAY_SUPPORT = global.TYPED_ARRAY_SUPPORT !== undefined\n  ? global.TYPED_ARRAY_SUPPORT\n  : typedArraySupport()\n\n/*\n * Export kMaxLength after typed array support is determined.\n */\nexports.kMaxLength = kMaxLength()\n\nfunction typedArraySupport () {\n  try {\n    var arr = new Uint8Array(1)\n    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}\n    return arr.foo() === 42 && // typed array instances can be augmented\n        typeof arr.subarray === 'function' && // chrome 9-10 lack `subarray`\n        arr.subarray(1, 1).byteLength === 0 // ie10 has broken `subarray`\n  } catch (e) {\n    return false\n  }\n}\n\nfunction kMaxLength () {\n  return Buffer.TYPED_ARRAY_SUPPORT\n    ? 0x7fffffff\n    : 0x3fffffff\n}\n\nfunction createBuffer (that, length) {\n  if (kMaxLength() < length) {\n    throw new RangeError('Invalid typed array length')\n  }\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = new Uint8Array(length)\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    if (that === null) {\n      that = new Buffer(length)\n    }\n    that.length = length\n  }\n\n  return that\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n  if (!Buffer.TYPED_ARRAY_SUPPORT && !(this instanceof Buffer)) {\n    return new Buffer(arg, encodingOrOffset, length)\n  }\n\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new Error(\n        'If encoding is specified then the first argument must be a string'\n      )\n    }\n    return allocUnsafe(this, arg)\n  }\n  return from(this, arg, encodingOrOffset, length)\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\n// TODO: Legacy, not needed anymore. Remove in next major version.\nBuffer._augment = function (arr) {\n  arr.__proto__ = Buffer.prototype\n  return arr\n}\n\nfunction from (that, value, encodingOrOffset, length) {\n  if (typeof value === 'number') {\n    throw new TypeError('\"value\" argument must not be a number')\n  }\n\n  if (typeof ArrayBuffer !== 'undefined' && value instanceof ArrayBuffer) {\n    return fromArrayBuffer(that, value, encodingOrOffset, length)\n  }\n\n  if (typeof value === 'string') {\n    return fromString(that, value, encodingOrOffset)\n  }\n\n  return fromObject(that, value)\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(null, value, encodingOrOffset, length)\n}\n\nif (Buffer.TYPED_ARRAY_SUPPORT) {\n  Buffer.prototype.__proto__ = Uint8Array.prototype\n  Buffer.__proto__ = Uint8Array\n  if (typeof Symbol !== 'undefined' && Symbol.species &&\n      Buffer[Symbol.species] === Buffer) {\n    // Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97\n    Object.defineProperty(Buffer, Symbol.species, {\n      value: null,\n      configurable: true\n    })\n  }\n}\n\nfunction assertSize (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be a number')\n  } else if (size < 0) {\n    throw new RangeError('\"size\" argument must not be negative')\n  }\n}\n\nfunction alloc (that, size, fill, encoding) {\n  assertSize(size)\n  if (size <= 0) {\n    return createBuffer(that, size)\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpretted as a start offset.\n    return typeof encoding === 'string'\n      ? createBuffer(that, size).fill(fill, encoding)\n      : createBuffer(that, size).fill(fill)\n  }\n  return createBuffer(that, size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(null, size, fill, encoding)\n}\n\nfunction allocUnsafe (that, size) {\n  assertSize(size)\n  that = createBuffer(that, size < 0 ? 0 : checked(size) | 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) {\n    for (var i = 0; i < size; ++i) {\n      that[i] = 0\n    }\n  }\n  return that\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(null, size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(null, size)\n}\n\nfunction fromString (that, string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8'\n  }\n\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('\"encoding\" must be a valid string encoding')\n  }\n\n  var length = byteLength(string, encoding) | 0\n  that = createBuffer(that, length)\n\n  var actual = that.write(string, encoding)\n\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    that = that.slice(0, actual)\n  }\n\n  return that\n}\n\nfunction fromArrayLike (that, array) {\n  var length = array.length < 0 ? 0 : checked(array.length) | 0\n  that = createBuffer(that, length)\n  for (var i = 0; i < length; i += 1) {\n    that[i] = array[i] & 255\n  }\n  return that\n}\n\nfunction fromArrayBuffer (that, array, byteOffset, length) {\n  array.byteLength // this throws if `array` is not a valid ArrayBuffer\n\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\\'offset\\' is out of bounds')\n  }\n\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\\'length\\' is out of bounds')\n  }\n\n  if (byteOffset === undefined && length === undefined) {\n    array = new Uint8Array(array)\n  } else if (length === undefined) {\n    array = new Uint8Array(array, byteOffset)\n  } else {\n    array = new Uint8Array(array, byteOffset, length)\n  }\n\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = array\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    that = fromArrayLike(that, array)\n  }\n  return that\n}\n\nfunction fromObject (that, obj) {\n  if (Buffer.isBuffer(obj)) {\n    var len = checked(obj.length) | 0\n    that = createBuffer(that, len)\n\n    if (that.length === 0) {\n      return that\n    }\n\n    obj.copy(that, 0, 0, len)\n    return that\n  }\n\n  if (obj) {\n    if ((typeof ArrayBuffer !== 'undefined' &&\n        obj.buffer instanceof ArrayBuffer) || 'length' in obj) {\n      if (typeof obj.length !== 'number' || isnan(obj.length)) {\n        return createBuffer(that, 0)\n      }\n      return fromArrayLike(that, obj)\n    }\n\n    if (obj.type === 'Buffer' && isArray(obj.data)) {\n      return fromArrayLike(that, obj.data)\n    }\n  }\n\n  throw new TypeError('First argument must be a string, Buffer, ArrayBuffer, Array, or array-like object.')\n}\n\nfunction checked (length) {\n  // Note: cannot use `length < kMaxLength()` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= kMaxLength()) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n                         'size: 0x' + kMaxLength().toString(16) + ' bytes')\n  }\n  return length | 0\n}\n\nfunction SlowBuffer (length) {\n  if (+length != length) { // eslint-disable-line eqeqeq\n    length = 0\n  }\n  return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n  return !!(b != null && b._isBuffer)\n}\n\nBuffer.compare = function compare (a, b) {\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError('Arguments must be Buffers')\n  }\n\n  if (a === b) return 0\n\n  var x = a.length\n  var y = b.length\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i]\n      y = b[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true\n    default:\n      return false\n  }\n}\n\nBuffer.concat = function concat (list, length) {\n  if (!isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers')\n  }\n\n  if (list.length === 0) {\n    return Buffer.alloc(0)\n  }\n\n  var i\n  if (length === undefined) {\n    length = 0\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length\n    }\n  }\n\n  var buffer = Buffer.allocUnsafe(length)\n  var pos = 0\n  for (i = 0; i < list.length; ++i) {\n    var buf = list[i]\n    if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers')\n    }\n    buf.copy(buffer, pos)\n    pos += buf.length\n  }\n  return buffer\n}\n\nfunction byteLength (string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length\n  }\n  if (typeof ArrayBuffer !== 'undefined' && typeof ArrayBuffer.isView === 'function' &&\n      (ArrayBuffer.isView(string) || string instanceof ArrayBuffer)) {\n    return string.byteLength\n  }\n  if (typeof string !== 'string') {\n    string = '' + string\n  }\n\n  var len = string.length\n  if (len === 0) return 0\n\n  // Use a for loop to avoid recursion\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len\n      case 'utf8':\n      case 'utf-8':\n      case undefined:\n        return utf8ToBytes(string).length\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2\n      case 'hex':\n        return len >>> 1\n      case 'base64':\n        return base64ToBytes(string).length\n      default:\n        if (loweredCase) return utf8ToBytes(string).length // assume utf8\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n  var loweredCase = false\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return ''\n  }\n\n  if (end === undefined || end > this.length) {\n    end = this.length\n  }\n\n  if (end <= 0) {\n    return ''\n  }\n\n  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0\n  start >>>= 0\n\n  if (end <= start) {\n    return ''\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end)\n\n      case 'ascii':\n        return asciiSlice(this, start, end)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end)\n\n      case 'base64':\n        return base64Slice(this, start, end)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = (encoding + '').toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\n// The property is used by `Buffer.isBuffer` and `is-buffer` (in Safari 5-7) to detect\n// Buffer instances.\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n  var i = b[n]\n  b[n] = b[m]\n  b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n  var len = this.length\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits')\n  }\n  for (var i = 0; i < len; i += 2) {\n    swap(this, i, i + 1)\n  }\n  return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n  var len = this.length\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits')\n  }\n  for (var i = 0; i < len; i += 4) {\n    swap(this, i, i + 3)\n    swap(this, i + 1, i + 2)\n  }\n  return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n  var len = this.length\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits')\n  }\n  for (var i = 0; i < len; i += 8) {\n    swap(this, i, i + 7)\n    swap(this, i + 1, i + 6)\n    swap(this, i + 2, i + 5)\n    swap(this, i + 3, i + 4)\n  }\n  return this\n}\n\nBuffer.prototype.toString = function toString () {\n  var length = this.length | 0\n  if (length === 0) return ''\n  if (arguments.length === 0) return utf8Slice(this, 0, length)\n  return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.equals = function equals (b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n  if (this === b) return true\n  return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n  var str = ''\n  var max = exports.INSPECT_MAX_BYTES\n  if (this.length > 0) {\n    str = this.toString('hex', 0, max).match(/.{2}/g).join(' ')\n    if (this.length > max) str += ' ... '\n  }\n  return '<Buffer ' + str + '>'\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError('Argument must be a Buffer')\n  }\n\n  if (start === undefined) {\n    start = 0\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0\n  }\n  if (thisStart === undefined) {\n    thisStart = 0\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length\n  }\n\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index')\n  }\n\n  if (thisStart >= thisEnd && start >= end) {\n    return 0\n  }\n  if (thisStart >= thisEnd) {\n    return -1\n  }\n  if (start >= end) {\n    return 1\n  }\n\n  start >>>= 0\n  end >>>= 0\n  thisStart >>>= 0\n  thisEnd >>>= 0\n\n  if (this === target) return 0\n\n  var x = thisEnd - thisStart\n  var y = end - start\n  var len = Math.min(x, y)\n\n  var thisCopy = this.slice(thisStart, thisEnd)\n  var targetCopy = target.slice(start, end)\n\n  for (var i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i]\n      y = targetCopy[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset\n    byteOffset = 0\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000\n  }\n  byteOffset = +byteOffset  // Coerce to Number.\n  if (isNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : (buffer.length - 1)\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1\n    else byteOffset = buffer.length - 1\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0\n    else return -1\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding)\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n  } else if (typeof val === 'number') {\n    val = val & 0xFF // Search for a byte value [0-255]\n    if (Buffer.TYPED_ARRAY_SUPPORT &&\n        typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n      }\n    }\n    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)\n  }\n\n  throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n  var indexSize = 1\n  var arrLength = arr.length\n  var valLength = val.length\n\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase()\n    if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n        encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1\n      }\n      indexSize = 2\n      arrLength /= 2\n      valLength /= 2\n      byteOffset /= 2\n    }\n  }\n\n  function read (buf, i) {\n    if (indexSize === 1) {\n      return buf[i]\n    } else {\n      return buf.readUInt16BE(i * indexSize)\n    }\n  }\n\n  var i\n  if (dir) {\n    var foundIndex = -1\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex\n        foundIndex = -1\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n    for (i = byteOffset; i >= 0; i--) {\n      var found = true\n      for (var j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false\n          break\n        }\n      }\n      if (found) return i\n    }\n  }\n\n  return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n  offset = Number(offset) || 0\n  var remaining = buf.length - offset\n  if (!length) {\n    length = remaining\n  } else {\n    length = Number(length)\n    if (length > remaining) {\n      length = remaining\n    }\n  }\n\n  // must be an even number of digits\n  var strLen = string.length\n  if (strLen % 2 !== 0) throw new TypeError('Invalid hex string')\n\n  if (length > strLen / 2) {\n    length = strLen / 2\n  }\n  for (var i = 0; i < length; ++i) {\n    var parsed = parseInt(string.substr(i * 2, 2), 16)\n    if (isNaN(parsed)) return i\n    buf[offset + i] = parsed\n  }\n  return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction latin1Write (buf, string, offset, length) {\n  return asciiWrite(buf, string, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8'\n    length = this.length\n    offset = 0\n  // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset\n    length = this.length\n    offset = 0\n  // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset | 0\n    if (isFinite(length)) {\n      length = length | 0\n      if (encoding === undefined) encoding = 'utf8'\n    } else {\n      encoding = length\n      length = undefined\n    }\n  // legacy write(string, encoding, offset, length) - remove in v0.13\n  } else {\n    throw new Error(\n      'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n    )\n  }\n\n  var remaining = this.length - offset\n  if (length === undefined || length > remaining) length = remaining\n\n  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds')\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length)\n\n      case 'ascii':\n        return asciiWrite(this, string, offset, length)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Write(this, string, offset, length)\n\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  }\n}\n\nfunction base64Slice (buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf)\n  } else {\n    return base64.fromByteArray(buf.slice(start, end))\n  }\n}\n\nfunction utf8Slice (buf, start, end) {\n  end = Math.min(buf.length, end)\n  var res = []\n\n  var i = start\n  while (i < end) {\n    var firstByte = buf[i]\n    var codePoint = null\n    var bytesPerSequence = (firstByte > 0xEF) ? 4\n      : (firstByte > 0xDF) ? 3\n      : (firstByte > 0xBF) ? 2\n      : 1\n\n    if (i + bytesPerSequence <= end) {\n      var secondByte, thirdByte, fourthByte, tempCodePoint\n\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte\n          }\n          break\n        case 2:\n          secondByte = buf[i + 1]\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 3:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 4:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          fourthByte = buf[i + 3]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint\n            }\n          }\n      }\n    }\n\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD\n      bytesPerSequence = 1\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n      codePoint = 0xDC00 | codePoint & 0x3FF\n    }\n\n    res.push(codePoint)\n    i += bytesPerSequence\n  }\n\n  return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nvar MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n  var len = codePoints.length\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  var res = ''\n  var i = 0\n  while (i < len) {\n    res += String.fromCharCode.apply(\n      String,\n      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n    )\n  }\n  return res\n}\n\nfunction asciiSlice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F)\n  }\n  return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i])\n  }\n  return ret\n}\n\nfunction hexSlice (buf, start, end) {\n  var len = buf.length\n\n  if (!start || start < 0) start = 0\n  if (!end || end < 0 || end > len) end = len\n\n  var out = ''\n  for (var i = start; i < end; ++i) {\n    out += toHex(buf[i])\n  }\n  return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n  var bytes = buf.slice(start, end)\n  var res = ''\n  for (var i = 0; i < bytes.length; i += 2) {\n    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256)\n  }\n  return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n  var len = this.length\n  start = ~~start\n  end = end === undefined ? len : ~~end\n\n  if (start < 0) {\n    start += len\n    if (start < 0) start = 0\n  } else if (start > len) {\n    start = len\n  }\n\n  if (end < 0) {\n    end += len\n    if (end < 0) end = 0\n  } else if (end > len) {\n    end = len\n  }\n\n  if (end < start) end = start\n\n  var newBuf\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    newBuf = this.subarray(start, end)\n    newBuf.__proto__ = Buffer.prototype\n  } else {\n    var sliceLen = end - start\n    newBuf = new Buffer(sliceLen, undefined)\n    for (var i = 0; i < sliceLen; ++i) {\n      newBuf[i] = this[i + start]\n    }\n  }\n\n  return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length)\n  }\n\n  var val = this[offset + --byteLength]\n  var mul = 1\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  return this[offset]\n}\n\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return ((this[offset]) |\n      (this[offset + 1] << 8) |\n      (this[offset + 2] << 16)) +\n      (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] * 0x1000000) +\n    ((this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    this[offset + 3])\n}\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var i = byteLength\n  var mul = 1\n  var val = this[offset + --i]\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  if (!(this[offset] & 0x80)) return (this[offset])\n  return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset] | (this[offset + 1] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset + 1] | (this[offset] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset]) |\n    (this[offset + 1] << 8) |\n    (this[offset + 2] << 16) |\n    (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] << 24) |\n    (this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    (this[offset + 3])\n}\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var mul = 1\n  var i = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nfunction objectWriteUInt16 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 2); i < j; ++i) {\n    buf[offset + i] = (value & (0xff << (8 * (littleEndian ? i : 1 - i)))) >>>\n      (littleEndian ? i : 1 - i) * 8\n  }\n}\n\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nfunction objectWriteUInt32 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffffffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 4); i < j; ++i) {\n    buf[offset + i] = (value >>> (littleEndian ? i : 3 - i) * 8) & 0xff\n  }\n}\n\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset + 3] = (value >>> 24)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 1] = (value >>> 8)\n    this[offset] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = 0\n  var mul = 1\n  var sub = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  var sub = 0\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  if (value < 0) value = 0xff + value + 1\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 3] = (value >>> 24)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (value < 0) value = 0xffffffff + value + 1\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n  if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4)\n  return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8)\n  return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n  if (!start) start = 0\n  if (!end && end !== 0) end = this.length\n  if (targetStart >= target.length) targetStart = target.length\n  if (!targetStart) targetStart = 0\n  if (end > 0 && end < start) end = start\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0\n  if (target.length === 0 || this.length === 0) return 0\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds')\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('sourceStart out of bounds')\n  if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n  // Are we oob?\n  if (end > this.length) end = this.length\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start\n  }\n\n  var len = end - start\n  var i\n\n  if (this === target && start < targetStart && targetStart < end) {\n    // descending copy from end\n    for (i = len - 1; i >= 0; --i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else if (len < 1000 || !Buffer.TYPED_ARRAY_SUPPORT) {\n    // ascending copy from start\n    for (i = 0; i < len; ++i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else {\n    Uint8Array.prototype.set.call(\n      target,\n      this.subarray(start, start + len),\n      targetStart\n    )\n  }\n\n  return len\n}\n\n// Usage:\n//    buffer.fill(number[, offset[, end]])\n//    buffer.fill(buffer[, offset[, end]])\n//    buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill (val, start, end, encoding) {\n  // Handle string cases:\n  if (typeof val === 'string') {\n    if (typeof start === 'string') {\n      encoding = start\n      start = 0\n      end = this.length\n    } else if (typeof end === 'string') {\n      encoding = end\n      end = this.length\n    }\n    if (val.length === 1) {\n      var code = val.charCodeAt(0)\n      if (code < 256) {\n        val = code\n      }\n    }\n    if (encoding !== undefined && typeof encoding !== 'string') {\n      throw new TypeError('encoding must be a string')\n    }\n    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n      throw new TypeError('Unknown encoding: ' + encoding)\n    }\n  } else if (typeof val === 'number') {\n    val = val & 255\n  }\n\n  // Invalid ranges are not set to a default, so can range check early.\n  if (start < 0 || this.length < start || this.length < end) {\n    throw new RangeError('Out of range index')\n  }\n\n  if (end <= start) {\n    return this\n  }\n\n  start = start >>> 0\n  end = end === undefined ? this.length : end >>> 0\n\n  if (!val) val = 0\n\n  var i\n  if (typeof val === 'number') {\n    for (i = start; i < end; ++i) {\n      this[i] = val\n    }\n  } else {\n    var bytes = Buffer.isBuffer(val)\n      ? val\n      : utf8ToBytes(new Buffer(val, encoding).toString())\n    var len = bytes.length\n    for (i = 0; i < end - start; ++i) {\n      this[i + start] = bytes[i % len]\n    }\n  }\n\n  return this\n}\n\n// HELPER FUNCTIONS\n// ================\n\nvar INVALID_BASE64_RE = /[^+\\/0-9A-Za-z-_]/g\n\nfunction base64clean (str) {\n  // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n  str = stringtrim(str).replace(INVALID_BASE64_RE, '')\n  // Node converts strings with length < 2 to ''\n  if (str.length < 2) return ''\n  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n  while (str.length % 4 !== 0) {\n    str = str + '='\n  }\n  return str\n}\n\nfunction stringtrim (str) {\n  if (str.trim) return str.trim()\n  return str.replace(/^\\s+|\\s+$/g, '')\n}\n\nfunction toHex (n) {\n  if (n < 16) return '0' + n.toString(16)\n  return n.toString(16)\n}\n\nfunction utf8ToBytes (string, units) {\n  units = units || Infinity\n  var codePoint\n  var length = string.length\n  var leadSurrogate = null\n  var bytes = []\n\n  for (var i = 0; i < length; ++i) {\n    codePoint = string.charCodeAt(i)\n\n    // is surrogate component\n    if (codePoint > 0xD7FF && codePoint < 0xE000) {\n      // last char was a lead\n      if (!leadSurrogate) {\n        // no lead yet\n        if (codePoint > 0xDBFF) {\n          // unexpected trail\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        } else if (i + 1 === length) {\n          // unpaired lead\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        }\n\n        // valid lead\n        leadSurrogate = codePoint\n\n        continue\n      }\n\n      // 2 leads in a row\n      if (codePoint < 0xDC00) {\n        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n        leadSurrogate = codePoint\n        continue\n      }\n\n      // valid surrogate pair\n      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000\n    } else if (leadSurrogate) {\n      // valid bmp char, but last char was a lead\n      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n    }\n\n    leadSurrogate = null\n\n    // encode utf8\n    if (codePoint < 0x80) {\n      if ((units -= 1) < 0) break\n      bytes.push(codePoint)\n    } else if (codePoint < 0x800) {\n      if ((units -= 2) < 0) break\n      bytes.push(\n        codePoint >> 0x6 | 0xC0,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x10000) {\n      if ((units -= 3) < 0) break\n      bytes.push(\n        codePoint >> 0xC | 0xE0,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x110000) {\n      if ((units -= 4) < 0) break\n      bytes.push(\n        codePoint >> 0x12 | 0xF0,\n        codePoint >> 0xC & 0x3F | 0x80,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else {\n      throw new Error('Invalid code point')\n    }\n  }\n\n  return bytes\n}\n\nfunction asciiToBytes (str) {\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    // Node's code seems to be doing this and not & 0x7F..\n    byteArray.push(str.charCodeAt(i) & 0xFF)\n  }\n  return byteArray\n}\n\nfunction utf16leToBytes (str, units) {\n  var c, hi, lo\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    if ((units -= 2) < 0) break\n\n    c = str.charCodeAt(i)\n    hi = c >> 8\n    lo = c % 256\n    byteArray.push(lo)\n    byteArray.push(hi)\n  }\n\n  return byteArray\n}\n\nfunction base64ToBytes (str) {\n  return base64.toByteArray(base64clean(str))\n}\n\nfunction blitBuffer (src, dst, offset, length) {\n  for (var i = 0; i < length; ++i) {\n    if ((i + offset >= dst.length) || (i >= src.length)) break\n    dst[i + offset] = src[i]\n  }\n  return i\n}\n\nfunction isnan (val) {\n  return val !== val // eslint-disable-line no-self-compare\n}\n","// 7.1.13 ToObject(argument)\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return Object(defined(it));\n};\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _promise = require(\"../core-js/promise\");\n\nvar _promise2 = _interopRequireDefault(_promise);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function (fn) {\n  return function () {\n    var gen = fn.apply(this, arguments);\n    return new _promise2.default(function (resolve, reject) {\n      function step(key, arg) {\n        try {\n          var info = gen[key](arg);\n          var value = info.value;\n        } catch (error) {\n          reject(error);\n          return;\n        }\n\n        if (info.done) {\n          resolve(value);\n        } else {\n          return _promise2.default.resolve(value).then(function (value) {\n            step(\"next\", value);\n          }, function (err) {\n            step(\"throw\", err);\n          });\n        }\n      }\n\n      return step(\"next\");\n    });\n  };\n};","module.exports = require(\"regenerator-runtime\");\n","var global = require('./_global');\nvar core = require('./_core');\nvar ctx = require('./_ctx');\nvar hide = require('./_hide');\nvar has = require('./_has');\nvar PROTOTYPE = 'prototype';\n\nvar $export = function (type, name, source) {\n  var IS_FORCED = type & $export.F;\n  var IS_GLOBAL = type & $export.G;\n  var IS_STATIC = type & $export.S;\n  var IS_PROTO = type & $export.P;\n  var IS_BIND = type & $export.B;\n  var IS_WRAP = type & $export.W;\n  var exports = IS_GLOBAL ? core : core[name] || (core[name] = {});\n  var expProto = exports[PROTOTYPE];\n  var target = IS_GLOBAL ? global : IS_STATIC ? global[name] : (global[name] || {})[PROTOTYPE];\n  var key, own, out;\n  if (IS_GLOBAL) source = name;\n  for (key in source) {\n    // contains in native\n    own = !IS_FORCED && target && target[key] !== undefined;\n    if (own && has(exports, key)) continue;\n    // export native or passed\n    out = own ? target[key] : source[key];\n    // prevent global pollution for namespaces\n    exports[key] = IS_GLOBAL && typeof target[key] != 'function' ? source[key]\n    // bind timers to global for call from export context\n    : IS_BIND && own ? ctx(out, global)\n    // wrap global constructors for prevent change them in library\n    : IS_WRAP && target[key] == out ? (function (C) {\n      var F = function (a, b, c) {\n        if (this instanceof C) {\n          switch (arguments.length) {\n            case 0: return new C();\n            case 1: return new C(a);\n            case 2: return new C(a, b);\n          } return new C(a, b, c);\n        } return C.apply(this, arguments);\n      };\n      F[PROTOTYPE] = C[PROTOTYPE];\n      return F;\n    // make static versions for prototype methods\n    })(out) : IS_PROTO && typeof out == 'function' ? ctx(Function.call, out) : out;\n    // export proto methods to core.%CONSTRUCTOR%.methods.%NAME%\n    if (IS_PROTO) {\n      (exports.virtual || (exports.virtual = {}))[key] = out;\n      // export proto methods to core.%CONSTRUCTOR%.prototype.%NAME%\n      if (type & $export.R && expProto && !expProto[key]) hide(expProto, key, out);\n    }\n  }\n};\n// type bitmap\n$export.F = 1;   // forced\n$export.G = 2;   // global\n$export.S = 4;   // static\n$export.P = 8;   // proto\n$export.B = 16;  // bind\n$export.W = 32;  // wrap\n$export.U = 64;  // safe\n$export.R = 128; // real proto method for `library`\nmodule.exports = $export;\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _defineProperty = require(\"../core-js/object/define-property\");\n\nvar _defineProperty2 = _interopRequireDefault(_defineProperty);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function () {\n  function defineProperties(target, props) {\n    for (var i = 0; i < props.length; i++) {\n      var descriptor = props[i];\n      descriptor.enumerable = descriptor.enumerable || false;\n      descriptor.configurable = true;\n      if (\"value\" in descriptor) descriptor.writable = true;\n      (0, _defineProperty2.default)(target, descriptor.key, descriptor);\n    }\n  }\n\n  return function (Constructor, protoProps, staticProps) {\n    if (protoProps) defineProperties(Constructor.prototype, protoProps);\n    if (staticProps) defineProperties(Constructor, staticProps);\n    return Constructor;\n  };\n}();","\"use strict\";\n\nexports.__esModule = true;\n\nexports.default = function (instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n};","var store = require('./_shared')('wks');\nvar uid = require('./_uid');\nvar Symbol = require('./_global').Symbol;\nvar USE_SYMBOL = typeof Symbol == 'function';\n\nvar $exports = module.exports = function (name) {\n  return store[name] || (store[name] =\n    USE_SYMBOL && Symbol[name] || (USE_SYMBOL ? Symbol : uid)('Symbol.' + name));\n};\n\n$exports.store = store;\n","// https://github.com/zloirock/core-js/issues/86#issuecomment-115759028\nvar global = module.exports = typeof window != 'undefined' && window.Math == Math\n  ? window : typeof self != 'undefined' && self.Math == Math ? self\n  // eslint-disable-next-line no-new-func\n  : Function('return this')();\nif (typeof __g == 'number') __g = global; // eslint-disable-line no-undef\n","module.exports = function (it) {\n  if (typeof it != 'function') throw TypeError(it + ' is not a function!');\n  return it;\n};\n","var g;\r\n\r\n// This works in non-strict mode\r\ng = (function() {\r\n\treturn this;\r\n})();\r\n\r\ntry {\r\n\t// This works if eval is allowed (see CSP)\r\n\tg = g || Function(\"return this\")() || (1, eval)(\"this\");\r\n} catch (e) {\r\n\t// This works if the window reference is available\r\n\tif (typeof window === \"object\") g = window;\r\n}\r\n\r\n// g can still be undefined, but nothing to do about it...\r\n// We return undefined, instead of nothing here, so it's\r\n// easier to handle this case. if(!global) { ...}\r\n\r\nmodule.exports = g;\r\n","'use strict';\n\nvar elliptic = exports;\n\nelliptic.version = require('../package.json').version;\nelliptic.utils = require('./elliptic/utils');\nelliptic.rand = require('brorand');\nelliptic.curve = require('./elliptic/curve');\nelliptic.curves = require('./elliptic/curves');\n\n// Protocols\nelliptic.ec = require('./elliptic/ec');\nelliptic.eddsa = require('./elliptic/eddsa');\n","var $export = require('./_export');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar quot = /\"/g;\n// B.2.3.2.1 CreateHTML(string, tag, attribute, value)\nvar createHTML = function (string, tag, attribute, value) {\n  var S = String(defined(string));\n  var p1 = '<' + tag;\n  if (attribute !== '') p1 += ' ' + attribute + '=\"' + String(value).replace(quot, '&quot;') + '\"';\n  return p1 + '>' + S + '</' + tag + '>';\n};\nmodule.exports = function (NAME, exec) {\n  var O = {};\n  O[NAME] = exec(createHTML);\n  $export($export.P + $export.F * fails(function () {\n    var test = ''[NAME]('\"');\n    return test !== test.toLowerCase() || test.split('\"').length > 3;\n  }), 'String', O);\n};\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar has = require('./_has');\nvar SRC = require('./_uid')('src');\nvar TO_STRING = 'toString';\nvar $toString = Function[TO_STRING];\nvar TPL = ('' + $toString).split(TO_STRING);\n\nrequire('./_core').inspectSource = function (it) {\n  return $toString.call(it);\n};\n\n(module.exports = function (O, key, val, safe) {\n  var isFunction = typeof val == 'function';\n  if (isFunction) has(val, 'name') || hide(val, 'name', key);\n  if (O[key] === val) return;\n  if (isFunction) has(val, SRC) || hide(val, SRC, O[key] ? '' + O[key] : TPL.join(String(key)));\n  if (O === global) {\n    O[key] = val;\n  } else if (!safe) {\n    delete O[key];\n    hide(O, key, val);\n  } else if (O[key]) {\n    O[key] = val;\n  } else {\n    hide(O, key, val);\n  }\n// add fake Function#toString for correct work wrapped methods / constructors with methods like LoDash isNative\n})(Function.prototype, TO_STRING, function toString() {\n  return typeof this == 'function' && this[SRC] || $toString.call(this);\n});\n","var dP = require('./_object-dp');\nvar createDesc = require('./_property-desc');\nmodule.exports = require('./_descriptors') ? function (object, key, value) {\n  return dP.f(object, key, createDesc(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n","module.exports = assert;\n\nfunction assert(val, msg) {\n  if (!val)\n    throw new Error(msg || 'Assertion failed');\n}\n\nassert.equal = function assertEqual(l, r, msg) {\n  if (l != r)\n    throw new Error(msg || ('Assertion failed: ' + l + ' != ' + r));\n};\n","// 19.1.2.9 / 15.2.3.2 Object.getPrototypeOf(O)\nvar has = require('./_has');\nvar toObject = require('./_to-object');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar ObjectProto = Object.prototype;\n\nmodule.exports = Object.getPrototypeOf || function (O) {\n  O = toObject(O);\n  if (has(O, IE_PROTO)) return O[IE_PROTO];\n  if (typeof O.constructor == 'function' && O instanceof O.constructor) {\n    return O.constructor.prototype;\n  } return O instanceof Object ? ObjectProto : null;\n};\n","var pIE = require('./_object-pie');\nvar createDesc = require('./_property-desc');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar has = require('./_has');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar gOPD = Object.getOwnPropertyDescriptor;\n\nexports.f = require('./_descriptors') ? gOPD : function getOwnPropertyDescriptor(O, P) {\n  O = toIObject(O);\n  P = toPrimitive(P, true);\n  if (IE8_DOM_DEFINE) try {\n    return gOPD(O, P);\n  } catch (e) { /* empty */ }\n  if (has(O, P)) return createDesc(!pIE.f.call(O, P), O[P]);\n};\n","// to indexed object, toObject with fallback for non-array-like ES3 strings\nvar IObject = require('./_iobject');\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return IObject(defined(it));\n};\n","var hasOwnProperty = {}.hasOwnProperty;\nmodule.exports = function (it, key) {\n  return hasOwnProperty.call(it, key);\n};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nexport default function callCallback(promise, callback) {\n  if (callback) {\n    promise\n      .then((result) => {\n        callback(undefined, result);\n        return result;\n      })\n      .catch((error) => {\n        callback(error);\n        return error;\n      });\n  }\n  return promise;\n}\n","module.exports = function (it) {\n  return typeof it === 'object' ? it !== null : typeof it === 'function';\n};\n","var anObject = require('./_an-object');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar toPrimitive = require('./_to-primitive');\nvar dP = Object.defineProperty;\n\nexports.f = require('./_descriptors') ? Object.defineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPrimitive(P, true);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return dP(O, P, Attributes);\n  } catch (e) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw TypeError('Accessors not supported!');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n","'use strict';\nvar fails = require('./_fails');\n\nmodule.exports = function (method, arg) {\n  return !!method && fails(function () {\n    // eslint-disable-next-line no-useless-call\n    arg ? method.call(null, function () { /* empty */ }, 1) : method.call(null);\n  });\n};\n","// 7.1.4 ToInteger\nvar ceil = Math.ceil;\nvar floor = Math.floor;\nmodule.exports = function (it) {\n  return isNaN(it = +it) ? 0 : (it > 0 ? floor : ceil)(it);\n};\n","var toString = {}.toString;\n\nmodule.exports = function (it) {\n  return toString.call(it).slice(8, -1);\n};\n","// optional / simple context binding\nvar aFunction = require('./_a-function');\nmodule.exports = function (fn, that, length) {\n  aFunction(fn);\n  if (that === undefined) return fn;\n  switch (length) {\n    case 1: return function (a) {\n      return fn.call(that, a);\n    };\n    case 2: return function (a, b) {\n      return fn.call(that, a, b);\n    };\n    case 3: return function (a, b, c) {\n      return fn.call(that, a, b, c);\n    };\n  }\n  return function (/* ...args */) {\n    return fn.apply(that, arguments);\n  };\n};\n","var core = module.exports = { version: '2.6.1' };\nif (typeof __e == 'number') __e = core; // eslint-disable-line no-undef\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _iterator = require(\"../core-js/symbol/iterator\");\n\nvar _iterator2 = _interopRequireDefault(_iterator);\n\nvar _symbol = require(\"../core-js/symbol\");\n\nvar _symbol2 = _interopRequireDefault(_symbol);\n\nvar _typeof = typeof _symbol2.default === \"function\" && typeof _iterator2.default === \"symbol\" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof _symbol2.default === \"function\" && obj.constructor === _symbol2.default && obj !== _symbol2.default.prototype ? \"symbol\" : typeof obj; };\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = typeof _symbol2.default === \"function\" && _typeof(_iterator2.default) === \"symbol\" ? function (obj) {\n  return typeof obj === \"undefined\" ? \"undefined\" : _typeof(obj);\n} : function (obj) {\n  return obj && typeof _symbol2.default === \"function\" && obj.constructor === _symbol2.default && obj !== _symbol2.default.prototype ? \"symbol\" : typeof obj === \"undefined\" ? \"undefined\" : _typeof(obj);\n};","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nexports.inherits = inherits;\n\nfunction isSurrogatePair(msg, i) {\n  if ((msg.charCodeAt(i) & 0xFC00) !== 0xD800) {\n    return false;\n  }\n  if (i < 0 || i + 1 >= msg.length) {\n    return false;\n  }\n  return (msg.charCodeAt(i + 1) & 0xFC00) === 0xDC00;\n}\n\nfunction toArray(msg, enc) {\n  if (Array.isArray(msg))\n    return msg.slice();\n  if (!msg)\n    return [];\n  var res = [];\n  if (typeof msg === 'string') {\n    if (!enc) {\n      // Inspired by stringToUtf8ByteArray() in closure-library by Google\n      // https://github.com/google/closure-library/blob/8598d87242af59aac233270742c8984e2b2bdbe0/closure/goog/crypt/crypt.js#L117-L143\n      // Apache License 2.0\n      // https://github.com/google/closure-library/blob/master/LICENSE\n      var p = 0;\n      for (var i = 0; i < msg.length; i++) {\n        var c = msg.charCodeAt(i);\n        if (c < 128) {\n          res[p++] = c;\n        } else if (c < 2048) {\n          res[p++] = (c >> 6) | 192;\n          res[p++] = (c & 63) | 128;\n        } else if (isSurrogatePair(msg, i)) {\n          c = 0x10000 + ((c & 0x03FF) << 10) + (msg.charCodeAt(++i) & 0x03FF);\n          res[p++] = (c >> 18) | 240;\n          res[p++] = ((c >> 12) & 63) | 128;\n          res[p++] = ((c >> 6) & 63) | 128;\n          res[p++] = (c & 63) | 128;\n        } else {\n          res[p++] = (c >> 12) | 224;\n          res[p++] = ((c >> 6) & 63) | 128;\n          res[p++] = (c & 63) | 128;\n        }\n      }\n    } else if (enc === 'hex') {\n      msg = msg.replace(/[^a-z0-9]+/ig, '');\n      if (msg.length % 2 !== 0)\n        msg = '0' + msg;\n      for (i = 0; i < msg.length; i += 2)\n        res.push(parseInt(msg[i] + msg[i + 1], 16));\n    }\n  } else {\n    for (i = 0; i < msg.length; i++)\n      res[i] = msg[i] | 0;\n  }\n  return res;\n}\nexports.toArray = toArray;\n\nfunction toHex(msg) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++)\n    res += zero2(msg[i].toString(16));\n  return res;\n}\nexports.toHex = toHex;\n\nfunction htonl(w) {\n  var res = (w >>> 24) |\n            ((w >>> 8) & 0xff00) |\n            ((w << 8) & 0xff0000) |\n            ((w & 0xff) << 24);\n  return res >>> 0;\n}\nexports.htonl = htonl;\n\nfunction toHex32(msg, endian) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++) {\n    var w = msg[i];\n    if (endian === 'little')\n      w = htonl(w);\n    res += zero8(w.toString(16));\n  }\n  return res;\n}\nexports.toHex32 = toHex32;\n\nfunction zero2(word) {\n  if (word.length === 1)\n    return '0' + word;\n  else\n    return word;\n}\nexports.zero2 = zero2;\n\nfunction zero8(word) {\n  if (word.length === 7)\n    return '0' + word;\n  else if (word.length === 6)\n    return '00' + word;\n  else if (word.length === 5)\n    return '000' + word;\n  else if (word.length === 4)\n    return '0000' + word;\n  else if (word.length === 3)\n    return '00000' + word;\n  else if (word.length === 2)\n    return '000000' + word;\n  else if (word.length === 1)\n    return '0000000' + word;\n  else\n    return word;\n}\nexports.zero8 = zero8;\n\nfunction join32(msg, start, end, endian) {\n  var len = end - start;\n  assert(len % 4 === 0);\n  var res = new Array(len / 4);\n  for (var i = 0, k = start; i < res.length; i++, k += 4) {\n    var w;\n    if (endian === 'big')\n      w = (msg[k] << 24) | (msg[k + 1] << 16) | (msg[k + 2] << 8) | msg[k + 3];\n    else\n      w = (msg[k + 3] << 24) | (msg[k + 2] << 16) | (msg[k + 1] << 8) | msg[k];\n    res[i] = w >>> 0;\n  }\n  return res;\n}\nexports.join32 = join32;\n\nfunction split32(msg, endian) {\n  var res = new Array(msg.length * 4);\n  for (var i = 0, k = 0; i < msg.length; i++, k += 4) {\n    var m = msg[i];\n    if (endian === 'big') {\n      res[k] = m >>> 24;\n      res[k + 1] = (m >>> 16) & 0xff;\n      res[k + 2] = (m >>> 8) & 0xff;\n      res[k + 3] = m & 0xff;\n    } else {\n      res[k + 3] = m >>> 24;\n      res[k + 2] = (m >>> 16) & 0xff;\n      res[k + 1] = (m >>> 8) & 0xff;\n      res[k] = m & 0xff;\n    }\n  }\n  return res;\n}\nexports.split32 = split32;\n\nfunction rotr32(w, b) {\n  return (w >>> b) | (w << (32 - b));\n}\nexports.rotr32 = rotr32;\n\nfunction rotl32(w, b) {\n  return (w << b) | (w >>> (32 - b));\n}\nexports.rotl32 = rotl32;\n\nfunction sum32(a, b) {\n  return (a + b) >>> 0;\n}\nexports.sum32 = sum32;\n\nfunction sum32_3(a, b, c) {\n  return (a + b + c) >>> 0;\n}\nexports.sum32_3 = sum32_3;\n\nfunction sum32_4(a, b, c, d) {\n  return (a + b + c + d) >>> 0;\n}\nexports.sum32_4 = sum32_4;\n\nfunction sum32_5(a, b, c, d, e) {\n  return (a + b + c + d + e) >>> 0;\n}\nexports.sum32_5 = sum32_5;\n\nfunction sum64(buf, pos, ah, al) {\n  var bh = buf[pos];\n  var bl = buf[pos + 1];\n\n  var lo = (al + bl) >>> 0;\n  var hi = (lo < al ? 1 : 0) + ah + bh;\n  buf[pos] = hi >>> 0;\n  buf[pos + 1] = lo;\n}\nexports.sum64 = sum64;\n\nfunction sum64_hi(ah, al, bh, bl) {\n  var lo = (al + bl) >>> 0;\n  var hi = (lo < al ? 1 : 0) + ah + bh;\n  return hi >>> 0;\n}\nexports.sum64_hi = sum64_hi;\n\nfunction sum64_lo(ah, al, bh, bl) {\n  var lo = al + bl;\n  return lo >>> 0;\n}\nexports.sum64_lo = sum64_lo;\n\nfunction sum64_4_hi(ah, al, bh, bl, ch, cl, dh, dl) {\n  var carry = 0;\n  var lo = al;\n  lo = (lo + bl) >>> 0;\n  carry += lo < al ? 1 : 0;\n  lo = (lo + cl) >>> 0;\n  carry += lo < cl ? 1 : 0;\n  lo = (lo + dl) >>> 0;\n  carry += lo < dl ? 1 : 0;\n\n  var hi = ah + bh + ch + dh + carry;\n  return hi >>> 0;\n}\nexports.sum64_4_hi = sum64_4_hi;\n\nfunction sum64_4_lo(ah, al, bh, bl, ch, cl, dh, dl) {\n  var lo = al + bl + cl + dl;\n  return lo >>> 0;\n}\nexports.sum64_4_lo = sum64_4_lo;\n\nfunction sum64_5_hi(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {\n  var carry = 0;\n  var lo = al;\n  lo = (lo + bl) >>> 0;\n  carry += lo < al ? 1 : 0;\n  lo = (lo + cl) >>> 0;\n  carry += lo < cl ? 1 : 0;\n  lo = (lo + dl) >>> 0;\n  carry += lo < dl ? 1 : 0;\n  lo = (lo + el) >>> 0;\n  carry += lo < el ? 1 : 0;\n\n  var hi = ah + bh + ch + dh + eh + carry;\n  return hi >>> 0;\n}\nexports.sum64_5_hi = sum64_5_hi;\n\nfunction sum64_5_lo(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {\n  var lo = al + bl + cl + dl + el;\n\n  return lo >>> 0;\n}\nexports.sum64_5_lo = sum64_5_lo;\n\nfunction rotr64_hi(ah, al, num) {\n  var r = (al << (32 - num)) | (ah >>> num);\n  return r >>> 0;\n}\nexports.rotr64_hi = rotr64_hi;\n\nfunction rotr64_lo(ah, al, num) {\n  var r = (ah << (32 - num)) | (al >>> num);\n  return r >>> 0;\n}\nexports.rotr64_lo = rotr64_lo;\n\nfunction shr64_hi(ah, al, num) {\n  return ah >>> num;\n}\nexports.shr64_hi = shr64_hi;\n\nfunction shr64_lo(ah, al, num) {\n  var r = (ah << (32 - num)) | (al >>> num);\n  return r >>> 0;\n}\nexports.shr64_lo = shr64_lo;\n","// shim for using process in browser\nvar process = module.exports = {};\n\n// cached from whatever global is present so that test runners that stub it\n// don't break things.  But we need to wrap it in a try catch in case it is\n// wrapped in strict mode code which doesn't define any globals.  It's inside a\n// function because try/catches deoptimize in certain engines.\n\nvar cachedSetTimeout;\nvar cachedClearTimeout;\n\nfunction defaultSetTimout() {\n    throw new Error('setTimeout has not been defined');\n}\nfunction defaultClearTimeout () {\n    throw new Error('clearTimeout has not been defined');\n}\n(function () {\n    try {\n        if (typeof setTimeout === 'function') {\n            cachedSetTimeout = setTimeout;\n        } else {\n            cachedSetTimeout = defaultSetTimout;\n        }\n    } catch (e) {\n        cachedSetTimeout = defaultSetTimout;\n    }\n    try {\n        if (typeof clearTimeout === 'function') {\n            cachedClearTimeout = clearTimeout;\n        } else {\n            cachedClearTimeout = defaultClearTimeout;\n        }\n    } catch (e) {\n        cachedClearTimeout = defaultClearTimeout;\n    }\n} ())\nfunction runTimeout(fun) {\n    if (cachedSetTimeout === setTimeout) {\n        //normal enviroments in sane situations\n        return setTimeout(fun, 0);\n    }\n    // if setTimeout wasn't available but was latter defined\n    if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {\n        cachedSetTimeout = setTimeout;\n        return setTimeout(fun, 0);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedSetTimeout(fun, 0);\n    } catch(e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally\n            return cachedSetTimeout.call(null, fun, 0);\n        } catch(e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error\n            return cachedSetTimeout.call(this, fun, 0);\n        }\n    }\n\n\n}\nfunction runClearTimeout(marker) {\n    if (cachedClearTimeout === clearTimeout) {\n        //normal enviroments in sane situations\n        return clearTimeout(marker);\n    }\n    // if clearTimeout wasn't available but was latter defined\n    if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {\n        cachedClearTimeout = clearTimeout;\n        return clearTimeout(marker);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedClearTimeout(marker);\n    } catch (e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally\n            return cachedClearTimeout.call(null, marker);\n        } catch (e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.\n            // Some versions of I.E. have different rules for clearTimeout vs setTimeout\n            return cachedClearTimeout.call(this, marker);\n        }\n    }\n\n\n\n}\nvar queue = [];\nvar draining = false;\nvar currentQueue;\nvar queueIndex = -1;\n\nfunction cleanUpNextTick() {\n    if (!draining || !currentQueue) {\n        return;\n    }\n    draining = false;\n    if (currentQueue.length) {\n        queue = currentQueue.concat(queue);\n    } else {\n        queueIndex = -1;\n    }\n    if (queue.length) {\n        drainQueue();\n    }\n}\n\nfunction drainQueue() {\n    if (draining) {\n        return;\n    }\n    var timeout = runTimeout(cleanUpNextTick);\n    draining = true;\n\n    var len = queue.length;\n    while(len) {\n        currentQueue = queue;\n        queue = [];\n        while (++queueIndex < len) {\n            if (currentQueue) {\n                currentQueue[queueIndex].run();\n            }\n        }\n        queueIndex = -1;\n        len = queue.length;\n    }\n    currentQueue = null;\n    draining = false;\n    runClearTimeout(timeout);\n}\n\nprocess.nextTick = function (fun) {\n    var args = new Array(arguments.length - 1);\n    if (arguments.length > 1) {\n        for (var i = 1; i < arguments.length; i++) {\n            args[i - 1] = arguments[i];\n        }\n    }\n    queue.push(new Item(fun, args));\n    if (queue.length === 1 && !draining) {\n        runTimeout(drainQueue);\n    }\n};\n\n// v8 likes predictible objects\nfunction Item(fun, array) {\n    this.fun = fun;\n    this.array = array;\n}\nItem.prototype.run = function () {\n    this.fun.apply(null, this.array);\n};\nprocess.title = 'browser';\nprocess.browser = true;\nprocess.env = {};\nprocess.argv = [];\nprocess.version = ''; // empty string to avoid regexp issues\nprocess.versions = {};\n\nfunction noop() {}\n\nprocess.on = noop;\nprocess.addListener = noop;\nprocess.once = noop;\nprocess.off = noop;\nprocess.removeListener = noop;\nprocess.removeAllListeners = noop;\nprocess.emit = noop;\nprocess.prependListener = noop;\nprocess.prependOnceListener = noop;\n\nprocess.listeners = function (name) { return [] }\n\nprocess.binding = function (name) {\n    throw new Error('process.binding is not supported');\n};\n\nprocess.cwd = function () { return '/' };\nprocess.chdir = function (dir) {\n    throw new Error('process.chdir is not supported');\n};\nprocess.umask = function() { return 0; };\n","// Thank's IE8 for his funny defineProperty\nmodule.exports = !require('./_fails')(function () {\n  return Object.defineProperty({}, 'a', { get: function () { return 7; } }).a != 7;\n});\n","var isObject = require('./_is-object');\nmodule.exports = function (it) {\n  if (!isObject(it)) throw TypeError(it + ' is not an object!');\n  return it;\n};\n","// 0 -> Array#forEach\n// 1 -> Array#map\n// 2 -> Array#filter\n// 3 -> Array#some\n// 4 -> Array#every\n// 5 -> Array#find\n// 6 -> Array#findIndex\nvar ctx = require('./_ctx');\nvar IObject = require('./_iobject');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar asc = require('./_array-species-create');\nmodule.exports = function (TYPE, $create) {\n  var IS_MAP = TYPE == 1;\n  var IS_FILTER = TYPE == 2;\n  var IS_SOME = TYPE == 3;\n  var IS_EVERY = TYPE == 4;\n  var IS_FIND_INDEX = TYPE == 6;\n  var NO_HOLES = TYPE == 5 || IS_FIND_INDEX;\n  var create = $create || asc;\n  return function ($this, callbackfn, that) {\n    var O = toObject($this);\n    var self = IObject(O);\n    var f = ctx(callbackfn, that, 3);\n    var length = toLength(self.length);\n    var index = 0;\n    var result = IS_MAP ? create($this, length) : IS_FILTER ? create($this, 0) : undefined;\n    var val, res;\n    for (;length > index; index++) if (NO_HOLES || index in self) {\n      val = self[index];\n      res = f(val, index, O);\n      if (TYPE) {\n        if (IS_MAP) result[index] = res;   // map\n        else if (res) switch (TYPE) {\n          case 3: return true;             // some\n          case 5: return val;              // find\n          case 6: return index;            // findIndex\n          case 2: result.push(val);        // filter\n        } else if (IS_EVERY) return false; // every\n      }\n    }\n    return IS_FIND_INDEX ? -1 : IS_SOME || IS_EVERY ? IS_EVERY : result;\n  };\n};\n","// most Object methods by ES6 should accept primitives\nvar $export = require('./_export');\nvar core = require('./_core');\nvar fails = require('./_fails');\nmodule.exports = function (KEY, exec) {\n  var fn = (core.Object || {})[KEY] || Object[KEY];\n  var exp = {};\n  exp[KEY] = exec(fn);\n  $export($export.S + $export.F * fails(function () { fn(1); }), 'Object', exp);\n};\n","// 7.2.1 RequireObjectCoercible(argument)\nmodule.exports = function (it) {\n  if (it == undefined) throw TypeError(\"Can't call method on  \" + it);\n  return it;\n};\n","// 7.1.1 ToPrimitive(input [, PreferredType])\nvar isObject = require('./_is-object');\n// instead of the ES6 spec version, we didn't implement @@toPrimitive case\n// and the second argument - flag - preferred type is a string\nmodule.exports = function (it, S) {\n  if (!isObject(it)) return it;\n  var fn, val;\n  if (S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (typeof (fn = it.valueOf) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (!S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  throw TypeError(\"Can't convert object to primitive value\");\n};\n","// optional / simple context binding\nvar aFunction = require('./_a-function');\nmodule.exports = function (fn, that, length) {\n  aFunction(fn);\n  if (that === undefined) return fn;\n  switch (length) {\n    case 1: return function (a) {\n      return fn.call(that, a);\n    };\n    case 2: return function (a, b) {\n      return fn.call(that, a, b);\n    };\n    case 3: return function (a, b, c) {\n      return fn.call(that, a, b, c);\n    };\n  }\n  return function (/* ...args */) {\n    return fn.apply(that, arguments);\n  };\n};\n","var Map = require('./es6.map');\nvar $export = require('./_export');\nvar shared = require('./_shared')('metadata');\nvar store = shared.store || (shared.store = new (require('./es6.weak-map'))());\n\nvar getOrCreateMetadataMap = function (target, targetKey, create) {\n  var targetMetadata = store.get(target);\n  if (!targetMetadata) {\n    if (!create) return undefined;\n    store.set(target, targetMetadata = new Map());\n  }\n  var keyMetadata = targetMetadata.get(targetKey);\n  if (!keyMetadata) {\n    if (!create) return undefined;\n    targetMetadata.set(targetKey, keyMetadata = new Map());\n  } return keyMetadata;\n};\nvar ordinaryHasOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? false : metadataMap.has(MetadataKey);\n};\nvar ordinaryGetOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? undefined : metadataMap.get(MetadataKey);\n};\nvar ordinaryDefineOwnMetadata = function (MetadataKey, MetadataValue, O, P) {\n  getOrCreateMetadataMap(O, P, true).set(MetadataKey, MetadataValue);\n};\nvar ordinaryOwnMetadataKeys = function (target, targetKey) {\n  var metadataMap = getOrCreateMetadataMap(target, targetKey, false);\n  var keys = [];\n  if (metadataMap) metadataMap.forEach(function (_, key) { keys.push(key); });\n  return keys;\n};\nvar toMetaKey = function (it) {\n  return it === undefined || typeof it == 'symbol' ? it : String(it);\n};\nvar exp = function (O) {\n  $export($export.S, 'Reflect', O);\n};\n\nmodule.exports = {\n  store: store,\n  map: getOrCreateMetadataMap,\n  has: ordinaryHasOwnMetadata,\n  get: ordinaryGetOwnMetadata,\n  set: ordinaryDefineOwnMetadata,\n  keys: ordinaryOwnMetadataKeys,\n  key: toMetaKey,\n  exp: exp\n};\n","'use strict';\nif (require('./_descriptors')) {\n  var LIBRARY = require('./_library');\n  var global = require('./_global');\n  var fails = require('./_fails');\n  var $export = require('./_export');\n  var $typed = require('./_typed');\n  var $buffer = require('./_typed-buffer');\n  var ctx = require('./_ctx');\n  var anInstance = require('./_an-instance');\n  var propertyDesc = require('./_property-desc');\n  var hide = require('./_hide');\n  var redefineAll = require('./_redefine-all');\n  var toInteger = require('./_to-integer');\n  var toLength = require('./_to-length');\n  var toIndex = require('./_to-index');\n  var toAbsoluteIndex = require('./_to-absolute-index');\n  var toPrimitive = require('./_to-primitive');\n  var has = require('./_has');\n  var classof = require('./_classof');\n  var isObject = require('./_is-object');\n  var toObject = require('./_to-object');\n  var isArrayIter = require('./_is-array-iter');\n  var create = require('./_object-create');\n  var getPrototypeOf = require('./_object-gpo');\n  var gOPN = require('./_object-gopn').f;\n  var getIterFn = require('./core.get-iterator-method');\n  var uid = require('./_uid');\n  var wks = require('./_wks');\n  var createArrayMethod = require('./_array-methods');\n  var createArrayIncludes = require('./_array-includes');\n  var speciesConstructor = require('./_species-constructor');\n  var ArrayIterators = require('./es6.array.iterator');\n  var Iterators = require('./_iterators');\n  var $iterDetect = require('./_iter-detect');\n  var setSpecies = require('./_set-species');\n  var arrayFill = require('./_array-fill');\n  var arrayCopyWithin = require('./_array-copy-within');\n  var $DP = require('./_object-dp');\n  var $GOPD = require('./_object-gopd');\n  var dP = $DP.f;\n  var gOPD = $GOPD.f;\n  var RangeError = global.RangeError;\n  var TypeError = global.TypeError;\n  var Uint8Array = global.Uint8Array;\n  var ARRAY_BUFFER = 'ArrayBuffer';\n  var SHARED_BUFFER = 'Shared' + ARRAY_BUFFER;\n  var BYTES_PER_ELEMENT = 'BYTES_PER_ELEMENT';\n  var PROTOTYPE = 'prototype';\n  var ArrayProto = Array[PROTOTYPE];\n  var $ArrayBuffer = $buffer.ArrayBuffer;\n  var $DataView = $buffer.DataView;\n  var arrayForEach = createArrayMethod(0);\n  var arrayFilter = createArrayMethod(2);\n  var arraySome = createArrayMethod(3);\n  var arrayEvery = createArrayMethod(4);\n  var arrayFind = createArrayMethod(5);\n  var arrayFindIndex = createArrayMethod(6);\n  var arrayIncludes = createArrayIncludes(true);\n  var arrayIndexOf = createArrayIncludes(false);\n  var arrayValues = ArrayIterators.values;\n  var arrayKeys = ArrayIterators.keys;\n  var arrayEntries = ArrayIterators.entries;\n  var arrayLastIndexOf = ArrayProto.lastIndexOf;\n  var arrayReduce = ArrayProto.reduce;\n  var arrayReduceRight = ArrayProto.reduceRight;\n  var arrayJoin = ArrayProto.join;\n  var arraySort = ArrayProto.sort;\n  var arraySlice = ArrayProto.slice;\n  var arrayToString = ArrayProto.toString;\n  var arrayToLocaleString = ArrayProto.toLocaleString;\n  var ITERATOR = wks('iterator');\n  var TAG = wks('toStringTag');\n  var TYPED_CONSTRUCTOR = uid('typed_constructor');\n  var DEF_CONSTRUCTOR = uid('def_constructor');\n  var ALL_CONSTRUCTORS = $typed.CONSTR;\n  var TYPED_ARRAY = $typed.TYPED;\n  var VIEW = $typed.VIEW;\n  var WRONG_LENGTH = 'Wrong length!';\n\n  var $map = createArrayMethod(1, function (O, length) {\n    return allocate(speciesConstructor(O, O[DEF_CONSTRUCTOR]), length);\n  });\n\n  var LITTLE_ENDIAN = fails(function () {\n    // eslint-disable-next-line no-undef\n    return new Uint8Array(new Uint16Array([1]).buffer)[0] === 1;\n  });\n\n  var FORCED_SET = !!Uint8Array && !!Uint8Array[PROTOTYPE].set && fails(function () {\n    new Uint8Array(1).set({});\n  });\n\n  var toOffset = function (it, BYTES) {\n    var offset = toInteger(it);\n    if (offset < 0 || offset % BYTES) throw RangeError('Wrong offset!');\n    return offset;\n  };\n\n  var validate = function (it) {\n    if (isObject(it) && TYPED_ARRAY in it) return it;\n    throw TypeError(it + ' is not a typed array!');\n  };\n\n  var allocate = function (C, length) {\n    if (!(isObject(C) && TYPED_CONSTRUCTOR in C)) {\n      throw TypeError('It is not a typed array constructor!');\n    } return new C(length);\n  };\n\n  var speciesFromList = function (O, list) {\n    return fromList(speciesConstructor(O, O[DEF_CONSTRUCTOR]), list);\n  };\n\n  var fromList = function (C, list) {\n    var index = 0;\n    var length = list.length;\n    var result = allocate(C, length);\n    while (length > index) result[index] = list[index++];\n    return result;\n  };\n\n  var addGetter = function (it, key, internal) {\n    dP(it, key, { get: function () { return this._d[internal]; } });\n  };\n\n  var $from = function from(source /* , mapfn, thisArg */) {\n    var O = toObject(source);\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var iterFn = getIterFn(O);\n    var i, length, values, result, step, iterator;\n    if (iterFn != undefined && !isArrayIter(iterFn)) {\n      for (iterator = iterFn.call(O), values = [], i = 0; !(step = iterator.next()).done; i++) {\n        values.push(step.value);\n      } O = values;\n    }\n    if (mapping && aLen > 2) mapfn = ctx(mapfn, arguments[2], 2);\n    for (i = 0, length = toLength(O.length), result = allocate(this, length); length > i; i++) {\n      result[i] = mapping ? mapfn(O[i], i) : O[i];\n    }\n    return result;\n  };\n\n  var $of = function of(/* ...items */) {\n    var index = 0;\n    var length = arguments.length;\n    var result = allocate(this, length);\n    while (length > index) result[index] = arguments[index++];\n    return result;\n  };\n\n  // iOS Safari 6.x fails here\n  var TO_LOCALE_BUG = !!Uint8Array && fails(function () { arrayToLocaleString.call(new Uint8Array(1)); });\n\n  var $toLocaleString = function toLocaleString() {\n    return arrayToLocaleString.apply(TO_LOCALE_BUG ? arraySlice.call(validate(this)) : validate(this), arguments);\n  };\n\n  var proto = {\n    copyWithin: function copyWithin(target, start /* , end */) {\n      return arrayCopyWithin.call(validate(this), target, start, arguments.length > 2 ? arguments[2] : undefined);\n    },\n    every: function every(callbackfn /* , thisArg */) {\n      return arrayEvery(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    fill: function fill(value /* , start, end */) { // eslint-disable-line no-unused-vars\n      return arrayFill.apply(validate(this), arguments);\n    },\n    filter: function filter(callbackfn /* , thisArg */) {\n      return speciesFromList(this, arrayFilter(validate(this), callbackfn,\n        arguments.length > 1 ? arguments[1] : undefined));\n    },\n    find: function find(predicate /* , thisArg */) {\n      return arrayFind(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    findIndex: function findIndex(predicate /* , thisArg */) {\n      return arrayFindIndex(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    forEach: function forEach(callbackfn /* , thisArg */) {\n      arrayForEach(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    indexOf: function indexOf(searchElement /* , fromIndex */) {\n      return arrayIndexOf(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    includes: function includes(searchElement /* , fromIndex */) {\n      return arrayIncludes(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    join: function join(separator) { // eslint-disable-line no-unused-vars\n      return arrayJoin.apply(validate(this), arguments);\n    },\n    lastIndexOf: function lastIndexOf(searchElement /* , fromIndex */) { // eslint-disable-line no-unused-vars\n      return arrayLastIndexOf.apply(validate(this), arguments);\n    },\n    map: function map(mapfn /* , thisArg */) {\n      return $map(validate(this), mapfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    reduce: function reduce(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduce.apply(validate(this), arguments);\n    },\n    reduceRight: function reduceRight(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduceRight.apply(validate(this), arguments);\n    },\n    reverse: function reverse() {\n      var that = this;\n      var length = validate(that).length;\n      var middle = Math.floor(length / 2);\n      var index = 0;\n      var value;\n      while (index < middle) {\n        value = that[index];\n        that[index++] = that[--length];\n        that[length] = value;\n      } return that;\n    },\n    some: function some(callbackfn /* , thisArg */) {\n      return arraySome(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    sort: function sort(comparefn) {\n      return arraySort.call(validate(this), comparefn);\n    },\n    subarray: function subarray(begin, end) {\n      var O = validate(this);\n      var length = O.length;\n      var $begin = toAbsoluteIndex(begin, length);\n      return new (speciesConstructor(O, O[DEF_CONSTRUCTOR]))(\n        O.buffer,\n        O.byteOffset + $begin * O.BYTES_PER_ELEMENT,\n        toLength((end === undefined ? length : toAbsoluteIndex(end, length)) - $begin)\n      );\n    }\n  };\n\n  var $slice = function slice(start, end) {\n    return speciesFromList(this, arraySlice.call(validate(this), start, end));\n  };\n\n  var $set = function set(arrayLike /* , offset */) {\n    validate(this);\n    var offset = toOffset(arguments[1], 1);\n    var length = this.length;\n    var src = toObject(arrayLike);\n    var len = toLength(src.length);\n    var index = 0;\n    if (len + offset > length) throw RangeError(WRONG_LENGTH);\n    while (index < len) this[offset + index] = src[index++];\n  };\n\n  var $iterators = {\n    entries: function entries() {\n      return arrayEntries.call(validate(this));\n    },\n    keys: function keys() {\n      return arrayKeys.call(validate(this));\n    },\n    values: function values() {\n      return arrayValues.call(validate(this));\n    }\n  };\n\n  var isTAIndex = function (target, key) {\n    return isObject(target)\n      && target[TYPED_ARRAY]\n      && typeof key != 'symbol'\n      && key in target\n      && String(+key) == String(key);\n  };\n  var $getDesc = function getOwnPropertyDescriptor(target, key) {\n    return isTAIndex(target, key = toPrimitive(key, true))\n      ? propertyDesc(2, target[key])\n      : gOPD(target, key);\n  };\n  var $setDesc = function defineProperty(target, key, desc) {\n    if (isTAIndex(target, key = toPrimitive(key, true))\n      && isObject(desc)\n      && has(desc, 'value')\n      && !has(desc, 'get')\n      && !has(desc, 'set')\n      // TODO: add validation descriptor w/o calling accessors\n      && !desc.configurable\n      && (!has(desc, 'writable') || desc.writable)\n      && (!has(desc, 'enumerable') || desc.enumerable)\n    ) {\n      target[key] = desc.value;\n      return target;\n    } return dP(target, key, desc);\n  };\n\n  if (!ALL_CONSTRUCTORS) {\n    $GOPD.f = $getDesc;\n    $DP.f = $setDesc;\n  }\n\n  $export($export.S + $export.F * !ALL_CONSTRUCTORS, 'Object', {\n    getOwnPropertyDescriptor: $getDesc,\n    defineProperty: $setDesc\n  });\n\n  if (fails(function () { arrayToString.call({}); })) {\n    arrayToString = arrayToLocaleString = function toString() {\n      return arrayJoin.call(this);\n    };\n  }\n\n  var $TypedArrayPrototype$ = redefineAll({}, proto);\n  redefineAll($TypedArrayPrototype$, $iterators);\n  hide($TypedArrayPrototype$, ITERATOR, $iterators.values);\n  redefineAll($TypedArrayPrototype$, {\n    slice: $slice,\n    set: $set,\n    constructor: function () { /* noop */ },\n    toString: arrayToString,\n    toLocaleString: $toLocaleString\n  });\n  addGetter($TypedArrayPrototype$, 'buffer', 'b');\n  addGetter($TypedArrayPrototype$, 'byteOffset', 'o');\n  addGetter($TypedArrayPrototype$, 'byteLength', 'l');\n  addGetter($TypedArrayPrototype$, 'length', 'e');\n  dP($TypedArrayPrototype$, TAG, {\n    get: function () { return this[TYPED_ARRAY]; }\n  });\n\n  // eslint-disable-next-line max-statements\n  module.exports = function (KEY, BYTES, wrapper, CLAMPED) {\n    CLAMPED = !!CLAMPED;\n    var NAME = KEY + (CLAMPED ? 'Clamped' : '') + 'Array';\n    var GETTER = 'get' + KEY;\n    var SETTER = 'set' + KEY;\n    var TypedArray = global[NAME];\n    var Base = TypedArray || {};\n    var TAC = TypedArray && getPrototypeOf(TypedArray);\n    var FORCED = !TypedArray || !$typed.ABV;\n    var O = {};\n    var TypedArrayPrototype = TypedArray && TypedArray[PROTOTYPE];\n    var getter = function (that, index) {\n      var data = that._d;\n      return data.v[GETTER](index * BYTES + data.o, LITTLE_ENDIAN);\n    };\n    var setter = function (that, index, value) {\n      var data = that._d;\n      if (CLAMPED) value = (value = Math.round(value)) < 0 ? 0 : value > 0xff ? 0xff : value & 0xff;\n      data.v[SETTER](index * BYTES + data.o, value, LITTLE_ENDIAN);\n    };\n    var addElement = function (that, index) {\n      dP(that, index, {\n        get: function () {\n          return getter(this, index);\n        },\n        set: function (value) {\n          return setter(this, index, value);\n        },\n        enumerable: true\n      });\n    };\n    if (FORCED) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME, '_d');\n        var index = 0;\n        var offset = 0;\n        var buffer, byteLength, length, klass;\n        if (!isObject(data)) {\n          length = toIndex(data);\n          byteLength = length * BYTES;\n          buffer = new $ArrayBuffer(byteLength);\n        } else if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          buffer = data;\n          offset = toOffset($offset, BYTES);\n          var $len = data.byteLength;\n          if ($length === undefined) {\n            if ($len % BYTES) throw RangeError(WRONG_LENGTH);\n            byteLength = $len - offset;\n            if (byteLength < 0) throw RangeError(WRONG_LENGTH);\n          } else {\n            byteLength = toLength($length) * BYTES;\n            if (byteLength + offset > $len) throw RangeError(WRONG_LENGTH);\n          }\n          length = byteLength / BYTES;\n        } else if (TYPED_ARRAY in data) {\n          return fromList(TypedArray, data);\n        } else {\n          return $from.call(TypedArray, data);\n        }\n        hide(that, '_d', {\n          b: buffer,\n          o: offset,\n          l: byteLength,\n          e: length,\n          v: new $DataView(buffer)\n        });\n        while (index < length) addElement(that, index++);\n      });\n      TypedArrayPrototype = TypedArray[PROTOTYPE] = create($TypedArrayPrototype$);\n      hide(TypedArrayPrototype, 'constructor', TypedArray);\n    } else if (!fails(function () {\n      TypedArray(1);\n    }) || !fails(function () {\n      new TypedArray(-1); // eslint-disable-line no-new\n    }) || !$iterDetect(function (iter) {\n      new TypedArray(); // eslint-disable-line no-new\n      new TypedArray(null); // eslint-disable-line no-new\n      new TypedArray(1.5); // eslint-disable-line no-new\n      new TypedArray(iter); // eslint-disable-line no-new\n    }, true)) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME);\n        var klass;\n        // `ws` module bug, temporarily remove validation length for Uint8Array\n        // https://github.com/websockets/ws/pull/645\n        if (!isObject(data)) return new Base(toIndex(data));\n        if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          return $length !== undefined\n            ? new Base(data, toOffset($offset, BYTES), $length)\n            : $offset !== undefined\n              ? new Base(data, toOffset($offset, BYTES))\n              : new Base(data);\n        }\n        if (TYPED_ARRAY in data) return fromList(TypedArray, data);\n        return $from.call(TypedArray, data);\n      });\n      arrayForEach(TAC !== Function.prototype ? gOPN(Base).concat(gOPN(TAC)) : gOPN(Base), function (key) {\n        if (!(key in TypedArray)) hide(TypedArray, key, Base[key]);\n      });\n      TypedArray[PROTOTYPE] = TypedArrayPrototype;\n      if (!LIBRARY) TypedArrayPrototype.constructor = TypedArray;\n    }\n    var $nativeIterator = TypedArrayPrototype[ITERATOR];\n    var CORRECT_ITER_NAME = !!$nativeIterator\n      && ($nativeIterator.name == 'values' || $nativeIterator.name == undefined);\n    var $iterator = $iterators.values;\n    hide(TypedArray, TYPED_CONSTRUCTOR, true);\n    hide(TypedArrayPrototype, TYPED_ARRAY, NAME);\n    hide(TypedArrayPrototype, VIEW, true);\n    hide(TypedArrayPrototype, DEF_CONSTRUCTOR, TypedArray);\n\n    if (CLAMPED ? new TypedArray(1)[TAG] != NAME : !(TAG in TypedArrayPrototype)) {\n      dP(TypedArrayPrototype, TAG, {\n        get: function () { return NAME; }\n      });\n    }\n\n    O[NAME] = TypedArray;\n\n    $export($export.G + $export.W + $export.F * (TypedArray != Base), O);\n\n    $export($export.S, NAME, {\n      BYTES_PER_ELEMENT: BYTES\n    });\n\n    $export($export.S + $export.F * fails(function () { Base.of.call(TypedArray, 1); }), NAME, {\n      from: $from,\n      of: $of\n    });\n\n    if (!(BYTES_PER_ELEMENT in TypedArrayPrototype)) hide(TypedArrayPrototype, BYTES_PER_ELEMENT, BYTES);\n\n    $export($export.P, NAME, proto);\n\n    setSpecies(NAME);\n\n    $export($export.P + $export.F * FORCED_SET, NAME, { set: $set });\n\n    $export($export.P + $export.F * !CORRECT_ITER_NAME, NAME, $iterators);\n\n    if (!LIBRARY && TypedArrayPrototype.toString != arrayToString) TypedArrayPrototype.toString = arrayToString;\n\n    $export($export.P + $export.F * fails(function () {\n      new TypedArray(1).slice();\n    }), NAME, { slice: $slice });\n\n    $export($export.P + $export.F * (fails(function () {\n      return [1, 2].toLocaleString() != new TypedArray([1, 2]).toLocaleString();\n    }) || !fails(function () {\n      TypedArrayPrototype.toLocaleString.call([1, 2]);\n    })), NAME, { toLocaleString: $toLocaleString });\n\n    Iterators[NAME] = CORRECT_ITER_NAME ? $nativeIterator : $iterator;\n    if (!LIBRARY && !CORRECT_ITER_NAME) hide(TypedArrayPrototype, ITERATOR, $iterator);\n  };\n} else module.exports = function () { /* empty */ };\n","var Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar StringDecoder = require('string_decoder').StringDecoder\nvar inherits = require('inherits')\n\nfunction CipherBase (hashMode) {\n  Transform.call(this)\n  this.hashMode = typeof hashMode === 'string'\n  if (this.hashMode) {\n    this[hashMode] = this._finalOrDigest\n  } else {\n    this.final = this._finalOrDigest\n  }\n  if (this._final) {\n    this.__final = this._final\n    this._final = null\n  }\n  this._decoder = null\n  this._encoding = null\n}\ninherits(CipherBase, Transform)\n\nCipherBase.prototype.update = function (data, inputEnc, outputEnc) {\n  if (typeof data === 'string') {\n    data = Buffer.from(data, inputEnc)\n  }\n\n  var outData = this._update(data)\n  if (this.hashMode) return this\n\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc)\n  }\n\n  return outData\n}\n\nCipherBase.prototype.setAutoPadding = function () {}\nCipherBase.prototype.getAuthTag = function () {\n  throw new Error('trying to get auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAuthTag = function () {\n  throw new Error('trying to set auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAAD = function () {\n  throw new Error('trying to set aad in unsupported state')\n}\n\nCipherBase.prototype._transform = function (data, _, next) {\n  var err\n  try {\n    if (this.hashMode) {\n      this._update(data)\n    } else {\n      this.push(this._update(data))\n    }\n  } catch (e) {\n    err = e\n  } finally {\n    next(err)\n  }\n}\nCipherBase.prototype._flush = function (done) {\n  var err\n  try {\n    this.push(this.__final())\n  } catch (e) {\n    err = e\n  }\n\n  done(err)\n}\nCipherBase.prototype._finalOrDigest = function (outputEnc) {\n  var outData = this.__final() || Buffer.alloc(0)\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc, true)\n  }\n  return outData\n}\n\nCipherBase.prototype._toString = function (value, enc, fin) {\n  if (!this._decoder) {\n    this._decoder = new StringDecoder(enc)\n    this._encoding = enc\n  }\n\n  if (this._encoding !== enc) throw new Error('can\\'t switch encodings')\n\n  var out = this._decoder.write(value)\n  if (fin) {\n    out += this._decoder.end()\n  }\n\n  return out\n}\n\nmodule.exports = CipherBase\n","var dP = require('./_object-dp');\nvar createDesc = require('./_property-desc');\nmodule.exports = require('./_descriptors') ? function (object, key, value) {\n  return dP.f(object, key, createDesc(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n","// 22.1.3.31 Array.prototype[@@unscopables]\nvar UNSCOPABLES = require('./_wks')('unscopables');\nvar ArrayProto = Array.prototype;\nif (ArrayProto[UNSCOPABLES] == undefined) require('./_hide')(ArrayProto, UNSCOPABLES, {});\nmodule.exports = function (key) {\n  ArrayProto[UNSCOPABLES][key] = true;\n};\n","module.exports = false;\n","var META = require('./_uid')('meta');\nvar isObject = require('./_is-object');\nvar has = require('./_has');\nvar setDesc = require('./_object-dp').f;\nvar id = 0;\nvar isExtensible = Object.isExtensible || function () {\n  return true;\n};\nvar FREEZE = !require('./_fails')(function () {\n  return isExtensible(Object.preventExtensions({}));\n});\nvar setMeta = function (it) {\n  setDesc(it, META, { value: {\n    i: 'O' + ++id, // object ID\n    w: {}          // weak collections IDs\n  } });\n};\nvar fastKey = function (it, create) {\n  // return primitive with prefix\n  if (!isObject(it)) return typeof it == 'symbol' ? it : (typeof it == 'string' ? 'S' : 'P') + it;\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return 'F';\n    // not necessary to add metadata\n    if (!create) return 'E';\n    // add missing metadata\n    setMeta(it);\n  // return object ID\n  } return it[META].i;\n};\nvar getWeak = function (it, create) {\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return true;\n    // not necessary to add metadata\n    if (!create) return false;\n    // add missing metadata\n    setMeta(it);\n  // return hash weak collections IDs\n  } return it[META].w;\n};\n// add metadata on freeze-family methods calling\nvar onFreeze = function (it) {\n  if (FREEZE && meta.NEED && isExtensible(it) && !has(it, META)) setMeta(it);\n  return it;\n};\nvar meta = module.exports = {\n  KEY: META,\n  NEED: false,\n  fastKey: fastKey,\n  getWeak: getWeak,\n  onFreeze: onFreeze\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/promise\"), __esModule: true };","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a duplex stream is just a stream that is both readable and writable.\n// Since JS doesn't have multiple prototypal inheritance, this class\n// prototypally inherits from Readable, and then parasitically from\n// Writable.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\n/*<replacement>*/\nvar objectKeys = Object.keys || function (obj) {\n  var keys = [];\n  for (var key in obj) {\n    keys.push(key);\n  }return keys;\n};\n/*</replacement>*/\n\nmodule.exports = Duplex;\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nvar Readable = require('./_stream_readable');\nvar Writable = require('./_stream_writable');\n\nutil.inherits(Duplex, Readable);\n\n{\n  // avoid scope creep, the keys array can then be collected\n  var keys = objectKeys(Writable.prototype);\n  for (var v = 0; v < keys.length; v++) {\n    var method = keys[v];\n    if (!Duplex.prototype[method]) Duplex.prototype[method] = Writable.prototype[method];\n  }\n}\n\nfunction Duplex(options) {\n  if (!(this instanceof Duplex)) return new Duplex(options);\n\n  Readable.call(this, options);\n  Writable.call(this, options);\n\n  if (options && options.readable === false) this.readable = false;\n\n  if (options && options.writable === false) this.writable = false;\n\n  this.allowHalfOpen = true;\n  if (options && options.allowHalfOpen === false) this.allowHalfOpen = false;\n\n  this.once('end', onend);\n}\n\nObject.defineProperty(Duplex.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// the no-half-open enforcer\nfunction onend() {\n  // if we allow half-open state, or if the writable side ended,\n  // then we're ok.\n  if (this.allowHalfOpen || this._writableState.ended) return;\n\n  // no more data can be written.\n  // But allow more writes to happen in this tick.\n  pna.nextTick(onEndNT, this);\n}\n\nfunction onEndNT(self) {\n  self.end();\n}\n\nObject.defineProperty(Duplex.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined || this._writableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed && this._writableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (this._readableState === undefined || this._writableState === undefined) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n    this._writableState.destroyed = value;\n  }\n});\n\nDuplex.prototype._destroy = function (err, cb) {\n  this.push(null);\n  this.end();\n\n  pna.nextTick(cb, err);\n};","// to indexed object, toObject with fallback for non-array-like ES3 strings\nvar IObject = require('./_iobject');\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return IObject(defined(it));\n};\n","var hasOwnProperty = {}.hasOwnProperty;\nmodule.exports = function (it, key) {\n  return hasOwnProperty.call(it, key);\n};\n","module.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (e) {\n    return true;\n  }\n};\n","var redefine = require('./_redefine');\nmodule.exports = function (target, src, safe) {\n  for (var key in src) redefine(target, key, src[key], safe);\n  return target;\n};\n","var ctx = require('./_ctx');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar getIterFn = require('./core.get-iterator-method');\nvar BREAK = {};\nvar RETURN = {};\nvar exports = module.exports = function (iterable, entries, fn, that, ITERATOR) {\n  var iterFn = ITERATOR ? function () { return iterable; } : getIterFn(iterable);\n  var f = ctx(fn, that, entries ? 2 : 1);\n  var index = 0;\n  var length, step, iterator, result;\n  if (typeof iterFn != 'function') throw TypeError(iterable + ' is not iterable!');\n  // fast case for arrays with default iterator\n  if (isArrayIter(iterFn)) for (length = toLength(iterable.length); length > index; index++) {\n    result = entries ? f(anObject(step = iterable[index])[0], step[1]) : f(iterable[index]);\n    if (result === BREAK || result === RETURN) return result;\n  } else for (iterator = iterFn.call(iterable); !(step = iterator.next()).done;) {\n    result = call(iterator, f, step.value, entries);\n    if (result === BREAK || result === RETURN) return result;\n  }\n};\nexports.BREAK = BREAK;\nexports.RETURN = RETURN;\n","module.exports = function (it, Constructor, name, forbiddenField) {\n  if (!(it instanceof Constructor) || (forbiddenField !== undefined && forbiddenField in it)) {\n    throw TypeError(name + ': incorrect invocation!');\n  } return it;\n};\n","'use strict';\nvar global = require('./_global');\nvar dP = require('./_object-dp');\nvar DESCRIPTORS = require('./_descriptors');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (KEY) {\n  var C = global[KEY];\n  if (DESCRIPTORS && C && !C[SPECIES]) dP.f(C, SPECIES, {\n    configurable: true,\n    get: function () { return this; }\n  });\n};\n","// 19.1.2.7 / 15.2.3.4 Object.getOwnPropertyNames(O)\nvar $keys = require('./_object-keys-internal');\nvar hiddenKeys = require('./_enum-bug-keys').concat('length', 'prototype');\n\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return $keys(O, hiddenKeys);\n};\n","// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\nvar anObject = require('./_an-object');\nvar dPs = require('./_object-dps');\nvar enumBugKeys = require('./_enum-bug-keys');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar Empty = function () { /* empty */ };\nvar PROTOTYPE = 'prototype';\n\n// Create object with fake `null` prototype: use iframe Object with cleared prototype\nvar createDict = function () {\n  // Thrash, waste and sodomy: IE GC bug\n  var iframe = require('./_dom-create')('iframe');\n  var i = enumBugKeys.length;\n  var lt = '<';\n  var gt = '>';\n  var iframeDocument;\n  iframe.style.display = 'none';\n  require('./_html').appendChild(iframe);\n  iframe.src = 'javascript:'; // eslint-disable-line no-script-url\n  // createDict = iframe.contentWindow.Object;\n  // html.removeChild(iframe);\n  iframeDocument = iframe.contentWindow.document;\n  iframeDocument.open();\n  iframeDocument.write(lt + 'script' + gt + 'document.F=Object' + lt + '/script' + gt);\n  iframeDocument.close();\n  createDict = iframeDocument.F;\n  while (i--) delete createDict[PROTOTYPE][enumBugKeys[i]];\n  return createDict();\n};\n\nmodule.exports = Object.create || function create(O, Properties) {\n  var result;\n  if (O !== null) {\n    Empty[PROTOTYPE] = anObject(O);\n    result = new Empty();\n    Empty[PROTOTYPE] = null;\n    // add \"__proto__\" for Object.getPrototypeOf polyfill\n    result[IE_PROTO] = O;\n  } else result = createDict();\n  return Properties === undefined ? result : dPs(result, Properties);\n};\n","var toInteger = require('./_to-integer');\nvar max = Math.max;\nvar min = Math.min;\nmodule.exports = function (index, length) {\n  index = toInteger(index);\n  return index < 0 ? max(index + length, 0) : min(index, length);\n};\n","// 19.1.2.14 / 15.2.3.14 Object.keys(O)\nvar $keys = require('./_object-keys-internal');\nvar enumBugKeys = require('./_enum-bug-keys');\n\nmodule.exports = Object.keys || function keys(O) {\n  return $keys(O, enumBugKeys);\n};\n","var id = 0;\nvar px = Math.random();\nmodule.exports = function (key) {\n  return 'Symbol('.concat(key === undefined ? '' : key, ')_', (++id + px).toString(36));\n};\n","module.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n","module.exports = {};\n","'use strict';\nvar $at = require('./_string-at')(true);\n\n// 21.1.3.27 String.prototype[@@iterator]()\nrequire('./_iter-define')(String, 'String', function (iterated) {\n  this._t = String(iterated); // target\n  this._i = 0;                // next index\n// 21.1.5.2.1 %StringIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var index = this._i;\n  var point;\n  if (index >= O.length) return { value: undefined, done: true };\n  point = $at(O, index);\n  this._i += point.length;\n  return { value: point, done: false };\n});\n","var Buffer = require('safe-buffer').Buffer\n\n// prototype class for hash functions\nfunction Hash (blockSize, finalSize) {\n  this._block = Buffer.alloc(blockSize)\n  this._finalSize = finalSize\n  this._blockSize = blockSize\n  this._len = 0\n}\n\nHash.prototype.update = function (data, enc) {\n  if (typeof data === 'string') {\n    enc = enc || 'utf8'\n    data = Buffer.from(data, enc)\n  }\n\n  var block = this._block\n  var blockSize = this._blockSize\n  var length = data.length\n  var accum = this._len\n\n  for (var offset = 0; offset < length;) {\n    var assigned = accum % blockSize\n    var remainder = Math.min(length - offset, blockSize - assigned)\n\n    for (var i = 0; i < remainder; i++) {\n      block[assigned + i] = data[offset + i]\n    }\n\n    accum += remainder\n    offset += remainder\n\n    if ((accum % blockSize) === 0) {\n      this._update(block)\n    }\n  }\n\n  this._len += length\n  return this\n}\n\nHash.prototype.digest = function (enc) {\n  var rem = this._len % this._blockSize\n\n  this._block[rem] = 0x80\n\n  // zero (rem + 1) trailing bits, where (rem + 1) is the smallest\n  // non-negative solution to the equation (length + 1 + (rem + 1)) === finalSize mod blockSize\n  this._block.fill(0, rem + 1)\n\n  if (rem >= this._finalSize) {\n    this._update(this._block)\n    this._block.fill(0)\n  }\n\n  var bits = this._len * 8\n\n  // uint32\n  if (bits <= 0xffffffff) {\n    this._block.writeUInt32BE(bits, this._blockSize - 4)\n\n  // uint64\n  } else {\n    var lowBits = (bits & 0xffffffff) >>> 0\n    var highBits = (bits - lowBits) / 0x100000000\n\n    this._block.writeUInt32BE(highBits, this._blockSize - 8)\n    this._block.writeUInt32BE(lowBits, this._blockSize - 4)\n  }\n\n  this._update(this._block)\n  var hash = this._hash()\n\n  return enc ? hash.toString(enc) : hash\n}\n\nHash.prototype._update = function () {\n  throw new Error('_update must be implemented by subclass')\n}\n\nmodule.exports = Hash\n","'use strict'\n\nfunction oldBrowser () {\n  throw new Error('Secure random number generation is not supported by this browser.\\nUse Chrome, Firefox or Internet Explorer 11')\n}\n\nvar Buffer = require('safe-buffer').Buffer\nvar crypto = global.crypto || global.msCrypto\n\nif (crypto && crypto.getRandomValues) {\n  module.exports = randomBytes\n} else {\n  module.exports = oldBrowser\n}\n\nfunction randomBytes (size, cb) {\n  // phantomjs needs to throw\n  if (size > 65536) throw new Error('requested too many random bytes')\n  // in case browserify  isn't using the Uint8Array version\n  var rawBytes = new global.Uint8Array(size)\n\n  // This will not work in older browsers.\n  // See https://developer.mozilla.org/en-US/docs/Web/API/window.crypto.getRandomValues\n  if (size > 0) {  // getRandomValues fails on IE if size == 0\n    crypto.getRandomValues(rawBytes)\n  }\n\n  // XXX: phantomjs doesn't like a buffer being passed here\n  var bytes = Buffer.from(rawBytes.buffer)\n\n  if (typeof cb === 'function') {\n    return process.nextTick(function () {\n      cb(null, bytes)\n    })\n  }\n\n  return bytes\n}\n","// 7.1.13 ToObject(argument)\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return Object(defined(it));\n};\n","// 19.1.2.14 / 15.2.3.14 Object.keys(O)\nvar $keys = require('./_object-keys-internal');\nvar enumBugKeys = require('./_enum-bug-keys');\n\nmodule.exports = Object.keys || function keys(O) {\n  return $keys(O, enumBugKeys);\n};\n","var isObject = require('./_is-object');\nmodule.exports = function (it, TYPE) {\n  if (!isObject(it) || it._t !== TYPE) throw TypeError('Incompatible receiver, ' + TYPE + ' required!');\n  return it;\n};\n","module.exports = {};\n","var $export = require('./_export');\nvar defined = require('./_defined');\nvar fails = require('./_fails');\nvar spaces = require('./_string-ws');\nvar space = '[' + spaces + ']';\nvar non = '\\u200b\\u0085';\nvar ltrim = RegExp('^' + space + space + '*');\nvar rtrim = RegExp(space + space + '*$');\n\nvar exporter = function (KEY, exec, ALIAS) {\n  var exp = {};\n  var FORCE = fails(function () {\n    return !!spaces[KEY]() || non[KEY]() != non;\n  });\n  var fn = exp[KEY] = FORCE ? exec(trim) : spaces[KEY];\n  if (ALIAS) exp[ALIAS] = fn;\n  $export($export.P + $export.F * FORCE, 'String', exp);\n};\n\n// 1 -> String#trimLeft\n// 2 -> String#trimRight\n// 3 -> String#trim\nvar trim = exporter.trim = function (string, TYPE) {\n  string = String(defined(string));\n  if (TYPE & 1) string = string.replace(ltrim, '');\n  if (TYPE & 2) string = string.replace(rtrim, '');\n  return string;\n};\n\nmodule.exports = exporter;\n","// getting tag from 19.1.3.6 Object.prototype.toString()\nvar cof = require('./_cof');\nvar TAG = require('./_wks')('toStringTag');\n// ES3 wrong here\nvar ARG = cof(function () { return arguments; }()) == 'Arguments';\n\n// fallback for IE11 Script Access Denied error\nvar tryGet = function (it, key) {\n  try {\n    return it[key];\n  } catch (e) { /* empty */ }\n};\n\nmodule.exports = function (it) {\n  var O, T, B;\n  return it === undefined ? 'Undefined' : it === null ? 'Null'\n    // @@toStringTag case\n    : typeof (T = tryGet(O = Object(it), TAG)) == 'string' ? T\n    // builtinTag case\n    : ARG ? cof(O)\n    // ES3 arguments fallback\n    : (B = cof(O)) == 'Object' && typeof O.callee == 'function' ? 'Arguments' : B;\n};\n","var def = require('./_object-dp').f;\nvar has = require('./_has');\nvar TAG = require('./_wks')('toStringTag');\n\nmodule.exports = function (it, tag, stat) {\n  if (it && !has(it = stat ? it : it.prototype, TAG)) def(it, TAG, { configurable: true, value: tag });\n};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\n\n// Resize video elements\nconst processVideo = (input, size, callback = () => {}) => {\n  const videoInput = input;\n  const element = document.createElement('video');\n  videoInput.onplay = () => {\n    const stream = videoInput.captureStream();\n    element.srcObject = stream;\n    element.width = size;\n    element.height = size;\n    element.autoplay = true;\n    element.playsinline = true;\n    element.muted = true;\n    callback();\n  };\n  return element;\n};\n\n// Converts a tf to DOM img\nconst array3DToImage = (tensor) => {\n  const [imgWidth, imgHeight] = tensor.shape;\n  const data = tensor.dataSync();\n  const canvas = document.createElement('canvas');\n  canvas.width = imgWidth;\n  canvas.height = imgHeight;\n  const ctx = canvas.getContext('2d');\n  const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);\n\n  for (let i = 0; i < imgWidth * imgHeight; i += 1) {\n    const j = i * 4;\n    const k = i * 3;\n    imageData.data[j + 0] = Math.floor(256 * data[k + 0]);\n    imageData.data[j + 1] = Math.floor(256 * data[k + 1]);\n    imageData.data[j + 2] = Math.floor(256 * data[k + 2]);\n    imageData.data[j + 3] = 255;\n  }\n  ctx.putImageData(imageData, 0, 0);\n\n  // Create img HTML element from canvas\n  const dataUrl = canvas.toDataURL();\n  const outputImg = document.createElement('img');\n  outputImg.src = dataUrl;\n  outputImg.style.width = imgWidth;\n  outputImg.style.height = imgHeight;\n  return outputImg;\n};\n\n// Static Method: crop the image\nconst cropImage = (img) => {\n  const size = Math.min(img.shape[0], img.shape[1]);\n  const centerHeight = img.shape[0] / 2;\n  const beginHeight = centerHeight - (size / 2);\n  const centerWidth = img.shape[1] / 2;\n  const beginWidth = centerWidth - (size / 2);\n  return img.slice([beginHeight, beginWidth, 0], [size, size, 3]);\n};\n\n// Static Method: image to tf tensor\nfunction imgToTensor(input, size = null) {\n  return tf.tidy(() => {\n    let img = tf.fromPixels(input);\n    if (size) {\n      img = tf.image.resizeBilinear(img, size);\n    }\n    const croppedImage = cropImage(img);\n    const batchedImage = croppedImage.expandDims(0);\n    return batchedImage.toFloat().div(tf.scalar(127)).sub(tf.scalar(1));\n  });\n}\n\nexport {\n  array3DToImage,\n  processVideo,\n  cropImage,\n  imgToTensor,\n};\n","var ctx = require('./_ctx');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar getIterFn = require('./core.get-iterator-method');\nvar BREAK = {};\nvar RETURN = {};\nvar exports = module.exports = function (iterable, entries, fn, that, ITERATOR) {\n  var iterFn = ITERATOR ? function () { return iterable; } : getIterFn(iterable);\n  var f = ctx(fn, that, entries ? 2 : 1);\n  var index = 0;\n  var length, step, iterator, result;\n  if (typeof iterFn != 'function') throw TypeError(iterable + ' is not iterable!');\n  // fast case for arrays with default iterator\n  if (isArrayIter(iterFn)) for (length = toLength(iterable.length); length > index; index++) {\n    result = entries ? f(anObject(step = iterable[index])[0], step[1]) : f(iterable[index]);\n    if (result === BREAK || result === RETURN) return result;\n  } else for (iterator = iterFn.call(iterable); !(step = iterator.next()).done;) {\n    result = call(iterator, f, step.value, entries);\n    if (result === BREAK || result === RETURN) return result;\n  }\n};\nexports.BREAK = BREAK;\nexports.RETURN = RETURN;\n","require('./es6.array.iterator');\nvar global = require('./_global');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar TO_STRING_TAG = require('./_wks')('toStringTag');\n\nvar DOMIterables = ('CSSRuleList,CSSStyleDeclaration,CSSValueList,ClientRectList,DOMRectList,DOMStringList,' +\n  'DOMTokenList,DataTransferItemList,FileList,HTMLAllCollection,HTMLCollection,HTMLFormElement,HTMLSelectElement,' +\n  'MediaList,MimeTypeArray,NamedNodeMap,NodeList,PaintRequestList,Plugin,PluginArray,SVGLengthList,SVGNumberList,' +\n  'SVGPathSegList,SVGPointList,SVGStringList,SVGTransformList,SourceBufferList,StyleSheetList,TextTrackCueList,' +\n  'TextTrackList,TouchList').split(',');\n\nfor (var i = 0; i < DOMIterables.length; i++) {\n  var NAME = DOMIterables[i];\n  var Collection = global[NAME];\n  var proto = Collection && Collection.prototype;\n  if (proto && !proto[TO_STRING_TAG]) hide(proto, TO_STRING_TAG, NAME);\n  Iterators[NAME] = Iterators.Array;\n}\n","var def = require('./_object-dp').f;\nvar has = require('./_has');\nvar TAG = require('./_wks')('toStringTag');\n\nmodule.exports = function (it, tag, stat) {\n  if (it && !has(it = stat ? it : it.prototype, TAG)) def(it, TAG, { configurable: true, value: tag });\n};\n","var base = exports;\n\nbase.Reporter = require('./reporter').Reporter;\nbase.DecoderBuffer = require('./buffer').DecoderBuffer;\nbase.EncoderBuffer = require('./buffer').EncoderBuffer;\nbase.Node = require('./node');\n","var asn1 = exports;\n\nasn1.bignum = require('bn.js');\n\nasn1.define = require('./asn1/api').define;\nasn1.base = require('./asn1/base');\nasn1.constants = require('./asn1/constants');\nasn1.decoders = require('./asn1/decoders');\nasn1.encoders = require('./asn1/encoders');\n","'use strict';\n\nvar utils = require('./utils');\nvar assert = require('minimalistic-assert');\n\nfunction BlockHash() {\n  this.pending = null;\n  this.pendingTotal = 0;\n  this.blockSize = this.constructor.blockSize;\n  this.outSize = this.constructor.outSize;\n  this.hmacStrength = this.constructor.hmacStrength;\n  this.padLength = this.constructor.padLength / 8;\n  this.endian = 'big';\n\n  this._delta8 = this.blockSize / 8;\n  this._delta32 = this.blockSize / 32;\n}\nexports.BlockHash = BlockHash;\n\nBlockHash.prototype.update = function update(msg, enc) {\n  // Convert message to array, pad it, and join into 32bit blocks\n  msg = utils.toArray(msg, enc);\n  if (!this.pending)\n    this.pending = msg;\n  else\n    this.pending = this.pending.concat(msg);\n  this.pendingTotal += msg.length;\n\n  // Enough data, try updating\n  if (this.pending.length >= this._delta8) {\n    msg = this.pending;\n\n    // Process pending data in blocks\n    var r = msg.length % this._delta8;\n    this.pending = msg.slice(msg.length - r, msg.length);\n    if (this.pending.length === 0)\n      this.pending = null;\n\n    msg = utils.join32(msg, 0, msg.length - r, this.endian);\n    for (var i = 0; i < msg.length; i += this._delta32)\n      this._update(msg, i, i + this._delta32);\n  }\n\n  return this;\n};\n\nBlockHash.prototype.digest = function digest(enc) {\n  this.update(this._pad());\n  assert(this.pending === null);\n\n  return this._digest(enc);\n};\n\nBlockHash.prototype._pad = function pad() {\n  var len = this.pendingTotal;\n  var bytes = this._delta8;\n  var k = bytes - ((len + this.padLength) % bytes);\n  var res = new Array(k + this.padLength);\n  res[0] = 0x80;\n  for (var i = 1; i < k; i++)\n    res[i] = 0;\n\n  // Append length\n  len <<= 3;\n  if (this.endian === 'big') {\n    for (var t = 8; t < this.padLength; t++)\n      res[i++] = 0;\n\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = (len >>> 24) & 0xff;\n    res[i++] = (len >>> 16) & 0xff;\n    res[i++] = (len >>> 8) & 0xff;\n    res[i++] = len & 0xff;\n  } else {\n    res[i++] = len & 0xff;\n    res[i++] = (len >>> 8) & 0xff;\n    res[i++] = (len >>> 16) & 0xff;\n    res[i++] = (len >>> 24) & 0xff;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n\n    for (t = 8; t < this.padLength; t++)\n      res[i++] = 0;\n  }\n\n  return res;\n};\n","module.exports = function xor (a, b) {\n  var length = Math.min(a.length, b.length)\n  var buffer = new Buffer(length)\n\n  for (var i = 0; i < length; ++i) {\n    buffer[i] = a[i] ^ b[i]\n  }\n\n  return buffer\n}\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// NOTE: These type checking functions intentionally don't use `instanceof`\n// because it is fragile and can be easily faked with `Object.create()`.\n\nfunction isArray(arg) {\n  if (Array.isArray) {\n    return Array.isArray(arg);\n  }\n  return objectToString(arg) === '[object Array]';\n}\nexports.isArray = isArray;\n\nfunction isBoolean(arg) {\n  return typeof arg === 'boolean';\n}\nexports.isBoolean = isBoolean;\n\nfunction isNull(arg) {\n  return arg === null;\n}\nexports.isNull = isNull;\n\nfunction isNullOrUndefined(arg) {\n  return arg == null;\n}\nexports.isNullOrUndefined = isNullOrUndefined;\n\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\nexports.isNumber = isNumber;\n\nfunction isString(arg) {\n  return typeof arg === 'string';\n}\nexports.isString = isString;\n\nfunction isSymbol(arg) {\n  return typeof arg === 'symbol';\n}\nexports.isSymbol = isSymbol;\n\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\nexports.isUndefined = isUndefined;\n\nfunction isRegExp(re) {\n  return objectToString(re) === '[object RegExp]';\n}\nexports.isRegExp = isRegExp;\n\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\nexports.isObject = isObject;\n\nfunction isDate(d) {\n  return objectToString(d) === '[object Date]';\n}\nexports.isDate = isDate;\n\nfunction isError(e) {\n  return (objectToString(e) === '[object Error]' || e instanceof Error);\n}\nexports.isError = isError;\n\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\nexports.isFunction = isFunction;\n\nfunction isPrimitive(arg) {\n  return arg === null ||\n         typeof arg === 'boolean' ||\n         typeof arg === 'number' ||\n         typeof arg === 'string' ||\n         typeof arg === 'symbol' ||  // ES6 symbol\n         typeof arg === 'undefined';\n}\nexports.isPrimitive = isPrimitive;\n\nexports.isBuffer = Buffer.isBuffer;\n\nfunction objectToString(o) {\n  return Object.prototype.toString.call(o);\n}\n","'use strict'\nvar inherits = require('inherits')\nvar MD5 = require('md5.js')\nvar RIPEMD160 = require('ripemd160')\nvar sha = require('sha.js')\nvar Base = require('cipher-base')\n\nfunction Hash (hash) {\n  Base.call(this, 'digest')\n\n  this._hash = hash\n}\n\ninherits(Hash, Base)\n\nHash.prototype._update = function (data) {\n  this._hash.update(data)\n}\n\nHash.prototype._final = function () {\n  return this._hash.digest()\n}\n\nmodule.exports = function createHash (alg) {\n  alg = alg.toLowerCase()\n  if (alg === 'md5') return new MD5()\n  if (alg === 'rmd160' || alg === 'ripemd160') return new RIPEMD160()\n\n  return new Hash(sha(alg))\n}\n","exports.f = {}.propertyIsEnumerable;\n","module.exports = true;\n","var toString = {}.toString;\n\nmodule.exports = function (it) {\n  return toString.call(it).slice(8, -1);\n};\n","module.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n","module.exports = function (it) {\n  if (typeof it != 'function') throw TypeError(it + ' is not a function!');\n  return it;\n};\n","// 7.3.20 SpeciesConstructor(O, defaultConstructor)\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar SPECIES = require('./_wks')('species');\nmodule.exports = function (O, D) {\n  var C = anObject(O).constructor;\n  var S;\n  return C === undefined || (S = anObject(C)[SPECIES]) == undefined ? D : aFunction(S);\n};\n","'use strict';\n// 21.2.5.3 get RegExp.prototype.flags\nvar anObject = require('./_an-object');\nmodule.exports = function () {\n  var that = anObject(this);\n  var result = '';\n  if (that.global) result += 'g';\n  if (that.ignoreCase) result += 'i';\n  if (that.multiline) result += 'm';\n  if (that.unicode) result += 'u';\n  if (that.sticky) result += 'y';\n  return result;\n};\n","exports.f = {}.propertyIsEnumerable;\n","// fallback for non-array-like ES3 and non-enumerable old V8 strings\nvar cof = require('./_cof');\n// eslint-disable-next-line no-prototype-builtins\nmodule.exports = Object('z').propertyIsEnumerable(0) ? Object : function (it) {\n  return cof(it) == 'String' ? it.split('') : Object(it);\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/object/keys\"), __esModule: true };","// getting tag from 19.1.3.6 Object.prototype.toString()\nvar cof = require('./_cof');\nvar TAG = require('./_wks')('toStringTag');\n// ES3 wrong here\nvar ARG = cof(function () { return arguments; }()) == 'Arguments';\n\n// fallback for IE11 Script Access Denied error\nvar tryGet = function (it, key) {\n  try {\n    return it[key];\n  } catch (e) { /* empty */ }\n};\n\nmodule.exports = function (it) {\n  var O, T, B;\n  return it === undefined ? 'Undefined' : it === null ? 'Null'\n    // @@toStringTag case\n    : typeof (T = tryGet(O = Object(it), TAG)) == 'string' ? T\n    // builtinTag case\n    : ARG ? cof(O)\n    // ES3 arguments fallback\n    : (B = cof(O)) == 'Object' && typeof O.callee == 'function' ? 'Arguments' : B;\n};\n","// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\nvar anObject = require('./_an-object');\nvar dPs = require('./_object-dps');\nvar enumBugKeys = require('./_enum-bug-keys');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar Empty = function () { /* empty */ };\nvar PROTOTYPE = 'prototype';\n\n// Create object with fake `null` prototype: use iframe Object with cleared prototype\nvar createDict = function () {\n  // Thrash, waste and sodomy: IE GC bug\n  var iframe = require('./_dom-create')('iframe');\n  var i = enumBugKeys.length;\n  var lt = '<';\n  var gt = '>';\n  var iframeDocument;\n  iframe.style.display = 'none';\n  require('./_html').appendChild(iframe);\n  iframe.src = 'javascript:'; // eslint-disable-line no-script-url\n  // createDict = iframe.contentWindow.Object;\n  // html.removeChild(iframe);\n  iframeDocument = iframe.contentWindow.document;\n  iframeDocument.open();\n  iframeDocument.write(lt + 'script' + gt + 'document.F=Object' + lt + '/script' + gt);\n  iframeDocument.close();\n  createDict = iframeDocument.F;\n  while (i--) delete createDict[PROTOTYPE][enumBugKeys[i]];\n  return createDict();\n};\n\nmodule.exports = Object.create || function create(O, Properties) {\n  var result;\n  if (O !== null) {\n    Empty[PROTOTYPE] = anObject(O);\n    result = new Empty();\n    Empty[PROTOTYPE] = null;\n    // add \"__proto__\" for Object.getPrototypeOf polyfill\n    result[IE_PROTO] = O;\n  } else result = createDict();\n  return Properties === undefined ? result : dPs(result, Properties);\n};\n","var asn1 = require('./asn1')\nvar aesid = require('./aesid.json')\nvar fixProc = require('./fixProc')\nvar ciphers = require('browserify-aes')\nvar compat = require('pbkdf2')\nmodule.exports = parseKeys\n\nfunction parseKeys (buffer) {\n  var password\n  if (typeof buffer === 'object' && !Buffer.isBuffer(buffer)) {\n    password = buffer.passphrase\n    buffer = buffer.key\n  }\n  if (typeof buffer === 'string') {\n    buffer = new Buffer(buffer)\n  }\n\n  var stripped = fixProc(buffer, password)\n\n  var type = stripped.tag\n  var data = stripped.data\n  var subtype, ndata\n  switch (type) {\n    case 'CERTIFICATE':\n      ndata = asn1.certificate.decode(data, 'der').tbsCertificate.subjectPublicKeyInfo\n      // falls through\n    case 'PUBLIC KEY':\n      if (!ndata) {\n        ndata = asn1.PublicKey.decode(data, 'der')\n      }\n      subtype = ndata.algorithm.algorithm.join('.')\n      switch (subtype) {\n        case '1.2.840.113549.1.1.1':\n          return asn1.RSAPublicKey.decode(ndata.subjectPublicKey.data, 'der')\n        case '1.2.840.10045.2.1':\n          ndata.subjectPrivateKey = ndata.subjectPublicKey\n          return {\n            type: 'ec',\n            data: ndata\n          }\n        case '1.2.840.10040.4.1':\n          ndata.algorithm.params.pub_key = asn1.DSAparam.decode(ndata.subjectPublicKey.data, 'der')\n          return {\n            type: 'dsa',\n            data: ndata.algorithm.params\n          }\n        default: throw new Error('unknown key id ' + subtype)\n      }\n      throw new Error('unknown key type ' + type)\n    case 'ENCRYPTED PRIVATE KEY':\n      data = asn1.EncryptedPrivateKey.decode(data, 'der')\n      data = decrypt(data, password)\n      // falls through\n    case 'PRIVATE KEY':\n      ndata = asn1.PrivateKey.decode(data, 'der')\n      subtype = ndata.algorithm.algorithm.join('.')\n      switch (subtype) {\n        case '1.2.840.113549.1.1.1':\n          return asn1.RSAPrivateKey.decode(ndata.subjectPrivateKey, 'der')\n        case '1.2.840.10045.2.1':\n          return {\n            curve: ndata.algorithm.curve,\n            privateKey: asn1.ECPrivateKey.decode(ndata.subjectPrivateKey, 'der').privateKey\n          }\n        case '1.2.840.10040.4.1':\n          ndata.algorithm.params.priv_key = asn1.DSAparam.decode(ndata.subjectPrivateKey, 'der')\n          return {\n            type: 'dsa',\n            params: ndata.algorithm.params\n          }\n        default: throw new Error('unknown key id ' + subtype)\n      }\n      throw new Error('unknown key type ' + type)\n    case 'RSA PUBLIC KEY':\n      return asn1.RSAPublicKey.decode(data, 'der')\n    case 'RSA PRIVATE KEY':\n      return asn1.RSAPrivateKey.decode(data, 'der')\n    case 'DSA PRIVATE KEY':\n      return {\n        type: 'dsa',\n        params: asn1.DSAPrivateKey.decode(data, 'der')\n      }\n    case 'EC PRIVATE KEY':\n      data = asn1.ECPrivateKey.decode(data, 'der')\n      return {\n        curve: data.parameters.value,\n        privateKey: data.privateKey\n      }\n    default: throw new Error('unknown key type ' + type)\n  }\n}\nparseKeys.signature = asn1.signature\nfunction decrypt (data, password) {\n  var salt = data.algorithm.decrypt.kde.kdeparams.salt\n  var iters = parseInt(data.algorithm.decrypt.kde.kdeparams.iters.toString(), 10)\n  var algo = aesid[data.algorithm.decrypt.cipher.algo.join('.')]\n  var iv = data.algorithm.decrypt.cipher.iv\n  var cipherText = data.subjectPrivateKey\n  var keylen = parseInt(algo.split('-')[1], 10) / 8\n  var key = compat.pbkdf2Sync(password, salt, iters, keylen)\n  var cipher = ciphers.createDecipheriv(algo, key, iv)\n  var out = []\n  out.push(cipher.update(cipherText))\n  out.push(cipher.final())\n  return Buffer.concat(out)\n}\n","'use strict';\n\nvar curve = exports;\n\ncurve.base = require('./base');\ncurve.short = require('./short');\ncurve.mont = require('./mont');\ncurve.edwards = require('./edwards');\n","var Buffer = require('safe-buffer').Buffer\nvar MD5 = require('md5.js')\n\n/* eslint-disable camelcase */\nfunction EVP_BytesToKey (password, salt, keyBits, ivLen) {\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, 'binary')\n  if (salt) {\n    if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, 'binary')\n    if (salt.length !== 8) throw new RangeError('salt should be Buffer with 8 byte length')\n  }\n\n  var keyLen = keyBits / 8\n  var key = Buffer.alloc(keyLen)\n  var iv = Buffer.alloc(ivLen || 0)\n  var tmp = Buffer.alloc(0)\n\n  while (keyLen > 0 || ivLen > 0) {\n    var hash = new MD5()\n    hash.update(tmp)\n    hash.update(password)\n    if (salt) hash.update(salt)\n    tmp = hash.digest()\n\n    var used = 0\n\n    if (keyLen > 0) {\n      var keyStart = key.length - keyLen\n      used = Math.min(keyLen, tmp.length)\n      tmp.copy(key, keyStart, 0, used)\n      keyLen -= used\n    }\n\n    if (used < tmp.length && ivLen > 0) {\n      var ivStart = iv.length - ivLen\n      var length = Math.min(ivLen, tmp.length - used)\n      tmp.copy(iv, ivStart, used, used + length)\n      ivLen -= length\n    }\n  }\n\n  tmp.fill(0)\n  return { key: key, iv: iv }\n}\n\nmodule.exports = EVP_BytesToKey\n","// based on the aes implimentation in triple sec\n// https://github.com/keybase/triplesec\n// which is in turn based on the one from crypto-js\n// https://code.google.com/p/crypto-js/\n\nvar Buffer = require('safe-buffer').Buffer\n\nfunction asUInt32Array (buf) {\n  if (!Buffer.isBuffer(buf)) buf = Buffer.from(buf)\n\n  var len = (buf.length / 4) | 0\n  var out = new Array(len)\n\n  for (var i = 0; i < len; i++) {\n    out[i] = buf.readUInt32BE(i * 4)\n  }\n\n  return out\n}\n\nfunction scrubVec (v) {\n  for (var i = 0; i < v.length; v++) {\n    v[i] = 0\n  }\n}\n\nfunction cryptBlock (M, keySchedule, SUB_MIX, SBOX, nRounds) {\n  var SUB_MIX0 = SUB_MIX[0]\n  var SUB_MIX1 = SUB_MIX[1]\n  var SUB_MIX2 = SUB_MIX[2]\n  var SUB_MIX3 = SUB_MIX[3]\n\n  var s0 = M[0] ^ keySchedule[0]\n  var s1 = M[1] ^ keySchedule[1]\n  var s2 = M[2] ^ keySchedule[2]\n  var s3 = M[3] ^ keySchedule[3]\n  var t0, t1, t2, t3\n  var ksRow = 4\n\n  for (var round = 1; round < nRounds; round++) {\n    t0 = SUB_MIX0[s0 >>> 24] ^ SUB_MIX1[(s1 >>> 16) & 0xff] ^ SUB_MIX2[(s2 >>> 8) & 0xff] ^ SUB_MIX3[s3 & 0xff] ^ keySchedule[ksRow++]\n    t1 = SUB_MIX0[s1 >>> 24] ^ SUB_MIX1[(s2 >>> 16) & 0xff] ^ SUB_MIX2[(s3 >>> 8) & 0xff] ^ SUB_MIX3[s0 & 0xff] ^ keySchedule[ksRow++]\n    t2 = SUB_MIX0[s2 >>> 24] ^ SUB_MIX1[(s3 >>> 16) & 0xff] ^ SUB_MIX2[(s0 >>> 8) & 0xff] ^ SUB_MIX3[s1 & 0xff] ^ keySchedule[ksRow++]\n    t3 = SUB_MIX0[s3 >>> 24] ^ SUB_MIX1[(s0 >>> 16) & 0xff] ^ SUB_MIX2[(s1 >>> 8) & 0xff] ^ SUB_MIX3[s2 & 0xff] ^ keySchedule[ksRow++]\n    s0 = t0\n    s1 = t1\n    s2 = t2\n    s3 = t3\n  }\n\n  t0 = ((SBOX[s0 >>> 24] << 24) | (SBOX[(s1 >>> 16) & 0xff] << 16) | (SBOX[(s2 >>> 8) & 0xff] << 8) | SBOX[s3 & 0xff]) ^ keySchedule[ksRow++]\n  t1 = ((SBOX[s1 >>> 24] << 24) | (SBOX[(s2 >>> 16) & 0xff] << 16) | (SBOX[(s3 >>> 8) & 0xff] << 8) | SBOX[s0 & 0xff]) ^ keySchedule[ksRow++]\n  t2 = ((SBOX[s2 >>> 24] << 24) | (SBOX[(s3 >>> 16) & 0xff] << 16) | (SBOX[(s0 >>> 8) & 0xff] << 8) | SBOX[s1 & 0xff]) ^ keySchedule[ksRow++]\n  t3 = ((SBOX[s3 >>> 24] << 24) | (SBOX[(s0 >>> 16) & 0xff] << 16) | (SBOX[(s1 >>> 8) & 0xff] << 8) | SBOX[s2 & 0xff]) ^ keySchedule[ksRow++]\n  t0 = t0 >>> 0\n  t1 = t1 >>> 0\n  t2 = t2 >>> 0\n  t3 = t3 >>> 0\n\n  return [t0, t1, t2, t3]\n}\n\n// AES constants\nvar RCON = [0x00, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36]\nvar G = (function () {\n  // Compute double table\n  var d = new Array(256)\n  for (var j = 0; j < 256; j++) {\n    if (j < 128) {\n      d[j] = j << 1\n    } else {\n      d[j] = (j << 1) ^ 0x11b\n    }\n  }\n\n  var SBOX = []\n  var INV_SBOX = []\n  var SUB_MIX = [[], [], [], []]\n  var INV_SUB_MIX = [[], [], [], []]\n\n  // Walk GF(2^8)\n  var x = 0\n  var xi = 0\n  for (var i = 0; i < 256; ++i) {\n    // Compute sbox\n    var sx = xi ^ (xi << 1) ^ (xi << 2) ^ (xi << 3) ^ (xi << 4)\n    sx = (sx >>> 8) ^ (sx & 0xff) ^ 0x63\n    SBOX[x] = sx\n    INV_SBOX[sx] = x\n\n    // Compute multiplication\n    var x2 = d[x]\n    var x4 = d[x2]\n    var x8 = d[x4]\n\n    // Compute sub bytes, mix columns tables\n    var t = (d[sx] * 0x101) ^ (sx * 0x1010100)\n    SUB_MIX[0][x] = (t << 24) | (t >>> 8)\n    SUB_MIX[1][x] = (t << 16) | (t >>> 16)\n    SUB_MIX[2][x] = (t << 8) | (t >>> 24)\n    SUB_MIX[3][x] = t\n\n    // Compute inv sub bytes, inv mix columns tables\n    t = (x8 * 0x1010101) ^ (x4 * 0x10001) ^ (x2 * 0x101) ^ (x * 0x1010100)\n    INV_SUB_MIX[0][sx] = (t << 24) | (t >>> 8)\n    INV_SUB_MIX[1][sx] = (t << 16) | (t >>> 16)\n    INV_SUB_MIX[2][sx] = (t << 8) | (t >>> 24)\n    INV_SUB_MIX[3][sx] = t\n\n    if (x === 0) {\n      x = xi = 1\n    } else {\n      x = x2 ^ d[d[d[x8 ^ x2]]]\n      xi ^= d[d[xi]]\n    }\n  }\n\n  return {\n    SBOX: SBOX,\n    INV_SBOX: INV_SBOX,\n    SUB_MIX: SUB_MIX,\n    INV_SUB_MIX: INV_SUB_MIX\n  }\n})()\n\nfunction AES (key) {\n  this._key = asUInt32Array(key)\n  this._reset()\n}\n\nAES.blockSize = 4 * 4\nAES.keySize = 256 / 8\nAES.prototype.blockSize = AES.blockSize\nAES.prototype.keySize = AES.keySize\nAES.prototype._reset = function () {\n  var keyWords = this._key\n  var keySize = keyWords.length\n  var nRounds = keySize + 6\n  var ksRows = (nRounds + 1) * 4\n\n  var keySchedule = []\n  for (var k = 0; k < keySize; k++) {\n    keySchedule[k] = keyWords[k]\n  }\n\n  for (k = keySize; k < ksRows; k++) {\n    var t = keySchedule[k - 1]\n\n    if (k % keySize === 0) {\n      t = (t << 8) | (t >>> 24)\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n\n      t ^= RCON[(k / keySize) | 0] << 24\n    } else if (keySize > 6 && k % keySize === 4) {\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n    }\n\n    keySchedule[k] = keySchedule[k - keySize] ^ t\n  }\n\n  var invKeySchedule = []\n  for (var ik = 0; ik < ksRows; ik++) {\n    var ksR = ksRows - ik\n    var tt = keySchedule[ksR - (ik % 4 ? 0 : 4)]\n\n    if (ik < 4 || ksR <= 4) {\n      invKeySchedule[ik] = tt\n    } else {\n      invKeySchedule[ik] =\n        G.INV_SUB_MIX[0][G.SBOX[tt >>> 24]] ^\n        G.INV_SUB_MIX[1][G.SBOX[(tt >>> 16) & 0xff]] ^\n        G.INV_SUB_MIX[2][G.SBOX[(tt >>> 8) & 0xff]] ^\n        G.INV_SUB_MIX[3][G.SBOX[tt & 0xff]]\n    }\n  }\n\n  this._nRounds = nRounds\n  this._keySchedule = keySchedule\n  this._invKeySchedule = invKeySchedule\n}\n\nAES.prototype.encryptBlockRaw = function (M) {\n  M = asUInt32Array(M)\n  return cryptBlock(M, this._keySchedule, G.SUB_MIX, G.SBOX, this._nRounds)\n}\n\nAES.prototype.encryptBlock = function (M) {\n  var out = this.encryptBlockRaw(M)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[1], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[3], 12)\n  return buf\n}\n\nAES.prototype.decryptBlock = function (M) {\n  M = asUInt32Array(M)\n\n  // swap\n  var m1 = M[1]\n  M[1] = M[3]\n  M[3] = m1\n\n  var out = cryptBlock(M, this._invKeySchedule, G.INV_SUB_MIX, G.INV_SBOX, this._nRounds)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[3], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[1], 12)\n  return buf\n}\n\nAES.prototype.scrub = function () {\n  scrubVec(this._keySchedule)\n  scrubVec(this._invKeySchedule)\n  scrubVec(this._key)\n}\n\nmodule.exports.AES = AES\n","'use strict';\n\nif (!process.version ||\n    process.version.indexOf('v0.') === 0 ||\n    process.version.indexOf('v1.') === 0 && process.version.indexOf('v1.8.') !== 0) {\n  module.exports = { nextTick: nextTick };\n} else {\n  module.exports = process\n}\n\nfunction nextTick(fn, arg1, arg2, arg3) {\n  if (typeof fn !== 'function') {\n    throw new TypeError('\"callback\" argument must be a function');\n  }\n  var len = arguments.length;\n  var args, i;\n  switch (len) {\n  case 0:\n  case 1:\n    return process.nextTick(fn);\n  case 2:\n    return process.nextTick(function afterTickOne() {\n      fn.call(null, arg1);\n    });\n  case 3:\n    return process.nextTick(function afterTickTwo() {\n      fn.call(null, arg1, arg2);\n    });\n  case 4:\n    return process.nextTick(function afterTickThree() {\n      fn.call(null, arg1, arg2, arg3);\n    });\n  default:\n    args = new Array(len - 1);\n    i = 0;\n    while (i < args.length) {\n      args[i++] = arguments[i];\n    }\n    return process.nextTick(function afterTick() {\n      fn.apply(null, args);\n    });\n  }\n}\n\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nfunction EventEmitter() {\n  this._events = this._events || {};\n  this._maxListeners = this._maxListeners || undefined;\n}\nmodule.exports = EventEmitter;\n\n// Backwards-compat with node 0.10.x\nEventEmitter.EventEmitter = EventEmitter;\n\nEventEmitter.prototype._events = undefined;\nEventEmitter.prototype._maxListeners = undefined;\n\n// By default EventEmitters will print a warning if more than 10 listeners are\n// added to it. This is a useful default which helps finding memory leaks.\nEventEmitter.defaultMaxListeners = 10;\n\n// Obviously not all Emitters should be limited to 10. This function allows\n// that to be increased. Set to zero for unlimited.\nEventEmitter.prototype.setMaxListeners = function(n) {\n  if (!isNumber(n) || n < 0 || isNaN(n))\n    throw TypeError('n must be a positive number');\n  this._maxListeners = n;\n  return this;\n};\n\nEventEmitter.prototype.emit = function(type) {\n  var er, handler, len, args, i, listeners;\n\n  if (!this._events)\n    this._events = {};\n\n  // If there is no 'error' event listener then throw.\n  if (type === 'error') {\n    if (!this._events.error ||\n        (isObject(this._events.error) && !this._events.error.length)) {\n      er = arguments[1];\n      if (er instanceof Error) {\n        throw er; // Unhandled 'error' event\n      } else {\n        // At least give some kind of context to the user\n        var err = new Error('Uncaught, unspecified \"error\" event. (' + er + ')');\n        err.context = er;\n        throw err;\n      }\n    }\n  }\n\n  handler = this._events[type];\n\n  if (isUndefined(handler))\n    return false;\n\n  if (isFunction(handler)) {\n    switch (arguments.length) {\n      // fast cases\n      case 1:\n        handler.call(this);\n        break;\n      case 2:\n        handler.call(this, arguments[1]);\n        break;\n      case 3:\n        handler.call(this, arguments[1], arguments[2]);\n        break;\n      // slower\n      default:\n        args = Array.prototype.slice.call(arguments, 1);\n        handler.apply(this, args);\n    }\n  } else if (isObject(handler)) {\n    args = Array.prototype.slice.call(arguments, 1);\n    listeners = handler.slice();\n    len = listeners.length;\n    for (i = 0; i < len; i++)\n      listeners[i].apply(this, args);\n  }\n\n  return true;\n};\n\nEventEmitter.prototype.addListener = function(type, listener) {\n  var m;\n\n  if (!isFunction(listener))\n    throw TypeError('listener must be a function');\n\n  if (!this._events)\n    this._events = {};\n\n  // To avoid recursion in the case that type === \"newListener\"! Before\n  // adding it to the listeners, first emit \"newListener\".\n  if (this._events.newListener)\n    this.emit('newListener', type,\n              isFunction(listener.listener) ?\n              listener.listener : listener);\n\n  if (!this._events[type])\n    // Optimize the case of one listener. Don't need the extra array object.\n    this._events[type] = listener;\n  else if (isObject(this._events[type]))\n    // If we've already got an array, just append.\n    this._events[type].push(listener);\n  else\n    // Adding the second element, need to change to array.\n    this._events[type] = [this._events[type], listener];\n\n  // Check for listener leak\n  if (isObject(this._events[type]) && !this._events[type].warned) {\n    if (!isUndefined(this._maxListeners)) {\n      m = this._maxListeners;\n    } else {\n      m = EventEmitter.defaultMaxListeners;\n    }\n\n    if (m && m > 0 && this._events[type].length > m) {\n      this._events[type].warned = true;\n      console.error('(node) warning: possible EventEmitter memory ' +\n                    'leak detected. %d listeners added. ' +\n                    'Use emitter.setMaxListeners() to increase limit.',\n                    this._events[type].length);\n      if (typeof console.trace === 'function') {\n        // not supported in IE 10\n        console.trace();\n      }\n    }\n  }\n\n  return this;\n};\n\nEventEmitter.prototype.on = EventEmitter.prototype.addListener;\n\nEventEmitter.prototype.once = function(type, listener) {\n  if (!isFunction(listener))\n    throw TypeError('listener must be a function');\n\n  var fired = false;\n\n  function g() {\n    this.removeListener(type, g);\n\n    if (!fired) {\n      fired = true;\n      listener.apply(this, arguments);\n    }\n  }\n\n  g.listener = listener;\n  this.on(type, g);\n\n  return this;\n};\n\n// emits a 'removeListener' event iff the listener was removed\nEventEmitter.prototype.removeListener = function(type, listener) {\n  var list, position, length, i;\n\n  if (!isFunction(listener))\n    throw TypeError('listener must be a function');\n\n  if (!this._events || !this._events[type])\n    return this;\n\n  list = this._events[type];\n  length = list.length;\n  position = -1;\n\n  if (list === listener ||\n      (isFunction(list.listener) && list.listener === listener)) {\n    delete this._events[type];\n    if (this._events.removeListener)\n      this.emit('removeListener', type, listener);\n\n  } else if (isObject(list)) {\n    for (i = length; i-- > 0;) {\n      if (list[i] === listener ||\n          (list[i].listener && list[i].listener === listener)) {\n        position = i;\n        break;\n      }\n    }\n\n    if (position < 0)\n      return this;\n\n    if (list.length === 1) {\n      list.length = 0;\n      delete this._events[type];\n    } else {\n      list.splice(position, 1);\n    }\n\n    if (this._events.removeListener)\n      this.emit('removeListener', type, listener);\n  }\n\n  return this;\n};\n\nEventEmitter.prototype.removeAllListeners = function(type) {\n  var key, listeners;\n\n  if (!this._events)\n    return this;\n\n  // not listening for removeListener, no need to emit\n  if (!this._events.removeListener) {\n    if (arguments.length === 0)\n      this._events = {};\n    else if (this._events[type])\n      delete this._events[type];\n    return this;\n  }\n\n  // emit removeListener for all listeners on all events\n  if (arguments.length === 0) {\n    for (key in this._events) {\n      if (key === 'removeListener') continue;\n      this.removeAllListeners(key);\n    }\n    this.removeAllListeners('removeListener');\n    this._events = {};\n    return this;\n  }\n\n  listeners = this._events[type];\n\n  if (isFunction(listeners)) {\n    this.removeListener(type, listeners);\n  } else if (listeners) {\n    // LIFO order\n    while (listeners.length)\n      this.removeListener(type, listeners[listeners.length - 1]);\n  }\n  delete this._events[type];\n\n  return this;\n};\n\nEventEmitter.prototype.listeners = function(type) {\n  var ret;\n  if (!this._events || !this._events[type])\n    ret = [];\n  else if (isFunction(this._events[type]))\n    ret = [this._events[type]];\n  else\n    ret = this._events[type].slice();\n  return ret;\n};\n\nEventEmitter.prototype.listenerCount = function(type) {\n  if (this._events) {\n    var evlistener = this._events[type];\n\n    if (isFunction(evlistener))\n      return 1;\n    else if (evlistener)\n      return evlistener.length;\n  }\n  return 0;\n};\n\nEventEmitter.listenerCount = function(emitter, type) {\n  return emitter.listenerCount(type);\n};\n\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\n\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\n\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\n\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\n","var id = 0;\nvar px = Math.random();\nmodule.exports = function (key) {\n  return 'Symbol('.concat(key === undefined ? '' : key, ')_', (++id + px).toString(36));\n};\n","// 7.1.15 ToLength\nvar toInteger = require('./_to-integer');\nvar min = Math.min;\nmodule.exports = function (it) {\n  return it > 0 ? min(toInteger(it), 0x1fffffffffffff) : 0; // pow(2, 53) - 1 == 9007199254740991\n};\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar ctx = require('./_ctx');\nvar forOf = require('./_for-of');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { from: function from(source /* , mapFn, thisArg */) {\n    var mapFn = arguments[1];\n    var mapping, A, n, cb;\n    aFunction(this);\n    mapping = mapFn !== undefined;\n    if (mapping) aFunction(mapFn);\n    if (source == undefined) return new this();\n    A = [];\n    if (mapping) {\n      n = 0;\n      cb = ctx(mapFn, arguments[2], 2);\n      forOf(source, false, function (nextItem) {\n        A.push(cb(nextItem, n++));\n      });\n    } else {\n      forOf(source, false, A.push, A);\n    }\n    return new this(A);\n  } });\n};\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { of: function of() {\n    var length = arguments.length;\n    var A = new Array(length);\n    while (length--) A[length] = arguments[length];\n    return new this(A);\n  } });\n};\n","'use strict';\n// Forced replacement prototype accessors methods\nmodule.exports = require('./_library') || !require('./_fails')(function () {\n  var K = Math.random();\n  // In FF throws only define methods\n  // eslint-disable-next-line no-undef, no-useless-call\n  __defineSetter__.call(null, K, function () { /* empty */ });\n  delete require('./_global')[K];\n});\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar uid = require('./_uid');\nvar TYPED = uid('typed_array');\nvar VIEW = uid('view');\nvar ABV = !!(global.ArrayBuffer && global.DataView);\nvar CONSTR = ABV;\nvar i = 0;\nvar l = 9;\nvar Typed;\n\nvar TypedArrayConstructors = (\n  'Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array'\n).split(',');\n\nwhile (i < l) {\n  if (Typed = global[TypedArrayConstructors[i++]]) {\n    hide(Typed.prototype, TYPED, true);\n    hide(Typed.prototype, VIEW, true);\n  } else CONSTR = false;\n}\n\nmodule.exports = {\n  ABV: ABV,\n  CONSTR: CONSTR,\n  TYPED: TYPED,\n  VIEW: VIEW\n};\n","'use strict';\nvar global = require('./_global');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar redefineAll = require('./_redefine-all');\nvar meta = require('./_meta');\nvar forOf = require('./_for-of');\nvar anInstance = require('./_an-instance');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar $iterDetect = require('./_iter-detect');\nvar setToStringTag = require('./_set-to-string-tag');\nvar inheritIfRequired = require('./_inherit-if-required');\n\nmodule.exports = function (NAME, wrapper, methods, common, IS_MAP, IS_WEAK) {\n  var Base = global[NAME];\n  var C = Base;\n  var ADDER = IS_MAP ? 'set' : 'add';\n  var proto = C && C.prototype;\n  var O = {};\n  var fixMethod = function (KEY) {\n    var fn = proto[KEY];\n    redefine(proto, KEY,\n      KEY == 'delete' ? function (a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'has' ? function has(a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'get' ? function get(a) {\n        return IS_WEAK && !isObject(a) ? undefined : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'add' ? function add(a) { fn.call(this, a === 0 ? 0 : a); return this; }\n        : function set(a, b) { fn.call(this, a === 0 ? 0 : a, b); return this; }\n    );\n  };\n  if (typeof C != 'function' || !(IS_WEAK || proto.forEach && !fails(function () {\n    new C().entries().next();\n  }))) {\n    // create collection constructor\n    C = common.getConstructor(wrapper, NAME, IS_MAP, ADDER);\n    redefineAll(C.prototype, methods);\n    meta.NEED = true;\n  } else {\n    var instance = new C();\n    // early implementations not supports chaining\n    var HASNT_CHAINING = instance[ADDER](IS_WEAK ? {} : -0, 1) != instance;\n    // V8 ~  Chromium 40- weak-collections throws on primitives, but should return false\n    var THROWS_ON_PRIMITIVES = fails(function () { instance.has(1); });\n    // most early implementations doesn't supports iterables, most modern - not close it correctly\n    var ACCEPT_ITERABLES = $iterDetect(function (iter) { new C(iter); }); // eslint-disable-line no-new\n    // for early implementations -0 and +0 not the same\n    var BUGGY_ZERO = !IS_WEAK && fails(function () {\n      // V8 ~ Chromium 42- fails only with 5+ elements\n      var $instance = new C();\n      var index = 5;\n      while (index--) $instance[ADDER](index, index);\n      return !$instance.has(-0);\n    });\n    if (!ACCEPT_ITERABLES) {\n      C = wrapper(function (target, iterable) {\n        anInstance(target, C, NAME);\n        var that = inheritIfRequired(new Base(), target, C);\n        if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n        return that;\n      });\n      C.prototype = proto;\n      proto.constructor = C;\n    }\n    if (THROWS_ON_PRIMITIVES || BUGGY_ZERO) {\n      fixMethod('delete');\n      fixMethod('has');\n      IS_MAP && fixMethod('get');\n    }\n    if (BUGGY_ZERO || HASNT_CHAINING) fixMethod(ADDER);\n    // weak collections should not contains .clear method\n    if (IS_WEAK && proto.clear) delete proto.clear;\n  }\n\n  setToStringTag(C, NAME);\n\n  O[NAME] = C;\n  $export($export.G + $export.W + $export.F * (C != Base), O);\n\n  if (!IS_WEAK) common.setStrong(C, NAME, IS_MAP);\n\n  return C;\n};\n","var global = require('./_global');\nvar navigator = global.navigator;\n\nmodule.exports = navigator && navigator.userAgent || '';\n","'use strict';\nrequire('./es6.regexp.exec');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar wks = require('./_wks');\nvar regexpExec = require('./_regexp-exec');\n\nvar SPECIES = wks('species');\n\nvar REPLACE_SUPPORTS_NAMED_GROUPS = !fails(function () {\n  // #replace needs built-in support for named groups.\n  // #match works fine because it just return the exec results, even if it has\n  // a \"grops\" property.\n  var re = /./;\n  re.exec = function () {\n    var result = [];\n    result.groups = { a: '7' };\n    return result;\n  };\n  return ''.replace(re, '$<a>') !== '7';\n});\n\nvar SPLIT_WORKS_WITH_OVERWRITTEN_EXEC = (function () {\n  // Chrome 51 has a buggy \"split\" implementation when RegExp#exec !== nativeExec\n  var re = /(?:)/;\n  var originalExec = re.exec;\n  re.exec = function () { return originalExec.apply(this, arguments); };\n  var result = 'ab'.split(re);\n  return result.length === 2 && result[0] === 'a' && result[1] === 'b';\n})();\n\nmodule.exports = function (KEY, length, exec) {\n  var SYMBOL = wks(KEY);\n\n  var DELEGATES_TO_SYMBOL = !fails(function () {\n    // String methods call symbol-named RegEp methods\n    var O = {};\n    O[SYMBOL] = function () { return 7; };\n    return ''[KEY](O) != 7;\n  });\n\n  var DELEGATES_TO_EXEC = DELEGATES_TO_SYMBOL ? !fails(function () {\n    // Symbol-named RegExp methods call .exec\n    var execCalled = false;\n    var re = /a/;\n    re.exec = function () { execCalled = true; return null; };\n    if (KEY === 'split') {\n      // RegExp[@@split] doesn't call the regex's exec method, but first creates\n      // a new one. We need to return the patched regex when creating the new one.\n      re.constructor = {};\n      re.constructor[SPECIES] = function () { return re; };\n    }\n    re[SYMBOL]('');\n    return !execCalled;\n  }) : undefined;\n\n  if (\n    !DELEGATES_TO_SYMBOL ||\n    !DELEGATES_TO_EXEC ||\n    (KEY === 'replace' && !REPLACE_SUPPORTS_NAMED_GROUPS) ||\n    (KEY === 'split' && !SPLIT_WORKS_WITH_OVERWRITTEN_EXEC)\n  ) {\n    var nativeRegExpMethod = /./[SYMBOL];\n    var fns = exec(\n      defined,\n      SYMBOL,\n      ''[KEY],\n      function maybeCallNative(nativeMethod, regexp, str, arg2, forceStringMethod) {\n        if (regexp.exec === regexpExec) {\n          if (DELEGATES_TO_SYMBOL && !forceStringMethod) {\n            // The native String method already delegates to @@method (this\n            // polyfilled function), leasing to infinite recursion.\n            // We avoid it by directly calling the native @@method method.\n            return { done: true, value: nativeRegExpMethod.call(regexp, str, arg2) };\n          }\n          return { done: true, value: nativeMethod.call(str, regexp, arg2) };\n        }\n        return { done: false };\n      }\n    );\n    var strfn = fns[0];\n    var rxfn = fns[1];\n\n    redefine(String.prototype, KEY, strfn);\n    hide(RegExp.prototype, SYMBOL, length == 2\n      // 21.2.5.8 RegExp.prototype[@@replace](string, replaceValue)\n      // 21.2.5.11 RegExp.prototype[@@split](string, limit)\n      ? function (string, arg) { return rxfn.call(string, this, arg); }\n      // 21.2.5.6 RegExp.prototype[@@match](string)\n      // 21.2.5.9 RegExp.prototype[@@search](string)\n      : function (string) { return rxfn.call(string, this); }\n    );\n  }\n};\n","'use strict';\n\nvar classof = require('./_classof');\nvar builtinExec = RegExp.prototype.exec;\n\n // `RegExpExec` abstract operation\n// https://tc39.github.io/ecma262/#sec-regexpexec\nmodule.exports = function (R, S) {\n  var exec = R.exec;\n  if (typeof exec === 'function') {\n    var result = exec.call(R, S);\n    if (typeof result !== 'object') {\n      throw new TypeError('RegExp exec method returned something other than an Object or null');\n    }\n    return result;\n  }\n  if (classof(R) !== 'RegExp') {\n    throw new TypeError('RegExp#exec called on incompatible receiver');\n  }\n  return builtinExec.call(R, S);\n};\n","var ITERATOR = require('./_wks')('iterator');\nvar SAFE_CLOSING = false;\n\ntry {\n  var riter = [7][ITERATOR]();\n  riter['return'] = function () { SAFE_CLOSING = true; };\n  // eslint-disable-next-line no-throw-literal\n  Array.from(riter, function () { throw 2; });\n} catch (e) { /* empty */ }\n\nmodule.exports = function (exec, skipClosing) {\n  if (!skipClosing && !SAFE_CLOSING) return false;\n  var safe = false;\n  try {\n    var arr = [7];\n    var iter = arr[ITERATOR]();\n    iter.next = function () { return { done: safe = true }; };\n    arr[ITERATOR] = function () { return iter; };\n    exec(arr);\n  } catch (e) { /* empty */ }\n  return safe;\n};\n","// 7.2.8 IsRegExp(argument)\nvar isObject = require('./_is-object');\nvar cof = require('./_cof');\nvar MATCH = require('./_wks')('match');\nmodule.exports = function (it) {\n  var isRegExp;\n  return isObject(it) && ((isRegExp = it[MATCH]) !== undefined ? !!isRegExp : cof(it) == 'RegExp');\n};\n","var toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n// true  -> String#at\n// false -> String#codePointAt\nmodule.exports = function (TO_STRING) {\n  return function (that, pos) {\n    var s = String(defined(that));\n    var i = toInteger(pos);\n    var l = s.length;\n    var a, b;\n    if (i < 0 || i >= l) return TO_STRING ? '' : undefined;\n    a = s.charCodeAt(i);\n    return a < 0xd800 || a > 0xdbff || i + 1 === l || (b = s.charCodeAt(i + 1)) < 0xdc00 || b > 0xdfff\n      ? TO_STRING ? s.charAt(i) : a\n      : TO_STRING ? s.slice(i, i + 2) : (a - 0xd800 << 10) + (b - 0xdc00) + 0x10000;\n  };\n};\n","// 7.2.2 IsArray(argument)\nvar cof = require('./_cof');\nmodule.exports = Array.isArray || function isArray(arg) {\n  return cof(arg) == 'Array';\n};\n","exports.f = Object.getOwnPropertySymbols;\n","// false -> Array#indexOf\n// true  -> Array#includes\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nmodule.exports = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIObject($this);\n    var length = toLength(O.length);\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare\n    if (IS_INCLUDES && el != el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare\n      if (value != value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) if (IS_INCLUDES || index in O) {\n      if (O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n","var core = require('./_core');\nvar global = require('./_global');\nvar SHARED = '__core-js_shared__';\nvar store = global[SHARED] || (global[SHARED] = {});\n\n(module.exports = function (key, value) {\n  return store[key] || (store[key] = value !== undefined ? value : {});\n})('versions', []).push({\n  version: core.version,\n  mode: require('./_library') ? 'pure' : 'global',\n  copyright: '© 2018 Denis Pushkarev (zloirock.ru)'\n});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{concat,slice,stack,tensor,tidy,unstack,util,io,Tensor,add,addN,mod,mul,div,floorDiv,sub,minimum,maximum,pow,squaredDifference,abs,acos,acosh,asin,asinh,atan,atan2,atanh,ceil,cos,cosh,elu,erf,exp,expm1,floor,log,log1p,neg,reciprocal,relu,round,selu,sigmoid,sin,sign,sinh,softplus,sqrt,square,tanh,tan,clipByValue,scalar,prod,leakyRelu,conv1d,conv2d,conv2dTranspose,depthwiseConv2d,avgPool,maxPool,fill,linspace,oneHot,ones,onesLike,randomUniform,range,truncatedNormal,zeros,zerosLike,image,whereAsync,setdiff1dAsync,topk,tensor1d,equal,notEqual,greater,greaterEqual,less,lessEqual,logicalAnd,logicalNot,logicalOr,where,matMul,transpose,batchNormalization,localResponseNormalization,softmax,logSoftmax,sparseToDense,max,mean,min,sum,all,any,argMax,argMin,gather,reverse,stridedSlice,tile,split,scatterND,gatherND,cast,expandDims,squeeze,reshape,pad,spaceToBatchND,batchToSpaceND,depthToSpace}from\"@tensorflow/tfjs-core\";var __assign=Object.assign||function(e){for(var t,a=1,r=arguments.length;a<r;a++)for(var n in t=arguments[a])Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e};function __awaiter(e,t,a,r){return new(a||(a=Promise))(function(n,o){function s(e){try{p(r.next(e))}catch(e){o(e)}}function i(e){try{p(r.throw(e))}catch(e){o(e)}}function p(e){e.done?n(e.value):new a(function(t){t(e.value)}).then(s,i)}p((r=r.apply(e,t||[])).next())})}function __generator(e,t){var a,r,n,o,s={label:0,sent:function(){if(1&n[0])throw n[1];return n[1]},trys:[],ops:[]};return o={next:i(0),throw:i(1),return:i(2)},\"function\"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function i(o){return function(i){return function(o){if(a)throw new TypeError(\"Generator is already executing.\");for(;s;)try{if(a=1,r&&(n=r[2&o[0]?\"return\":o[0]?\"throw\":\"next\"])&&!(n=n.call(r,o[1])).done)return n;switch(r=0,n&&(o=[0,n.value]),o[0]){case 0:case 1:n=o;break;case 4:return s.label++,{value:o[1],done:!1};case 5:s.label++,r=o[1],o=[0];continue;case 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writeVarint64(e,t,a){for(;e.hi;)t[a++]=127&e.lo|128,e.lo=(e.lo>>>7|e.hi<<25)>>>0,e.hi>>>=7;for(;e.lo>127;)t[a++]=127&e.lo|128,e.lo=e.lo>>>7;t[a++]=e.lo}function writeFixed32(e,t,a){t[a]=255&e,t[a+1]=e>>>8&255,t[a+2]=e>>>16&255,t[a+3]=e>>>24}Writer.create=minimal.Buffer?function(){return(Writer.create=function(){return new BufferWriter})()}:function(){return new Writer},Writer.alloc=function(e){return new minimal.Array(e)},minimal.Array!==Array&&(Writer.alloc=minimal.pool(Writer.alloc,minimal.Array.prototype.subarray)),Writer.prototype._push=function(e,t,a){return this.tail=this.tail.next=new Op(e,t,a),this.len+=t,this},VarintOp.prototype=Object.create(Op.prototype),VarintOp.prototype.fn=writeVarint32,Writer.prototype.uint32=function(e){return this.len+=(this.tail=this.tail.next=new VarintOp((e>>>=0)<128?1:e<16384?2:e<2097152?3:e<268435456?4:5,e)).len,this},Writer.prototype.int32=function(e){return e<0?this._push(writeVarint64,10,LongBits$1.fromNumber(e)):this.uint32(e)},Writer.prototype.sint32=function(e){return this.uint32((e<<1^e>>31)>>>0)},Writer.prototype.uint64=function(e){var t=LongBits$1.from(e);return this._push(writeVarint64,t.length(),t)},Writer.prototype.int64=Writer.prototype.uint64,Writer.prototype.sint64=function(e){var t=LongBits$1.from(e).zzEncode();return this._push(writeVarint64,t.length(),t)},Writer.prototype.bool=function(e){return this._push(writeByte,1,e?1:0)},Writer.prototype.fixed32=function(e){return this._push(writeFixed32,4,e>>>0)},Writer.prototype.sfixed32=Writer.prototype.fixed32,Writer.prototype.fixed64=function(e){var t=LongBits$1.from(e);return this._push(writeFixed32,4,t.lo)._push(writeFixed32,4,t.hi)},Writer.prototype.sfixed64=Writer.prototype.fixed64,Writer.prototype.float=function(e){return this._push(minimal.float.writeFloatLE,4,e)},Writer.prototype.double=function(e){return this._push(minimal.float.writeDoubleLE,8,e)};var writeBytes=minimal.Array.prototype.set?function(e,t,a){t.set(e,a)}:function(e,t,a){for(var r=0;r<e.length;++r)t[a+r]=e[r]};Writer.prototype.bytes=function(e){var t=e.length>>>0;if(!t)return this._push(writeByte,1,0);if(minimal.isString(e)){var a=Writer.alloc(t=base64.length(e));base64.decode(e,a,0),e=a}return this.uint32(t)._push(writeBytes,t,e)},Writer.prototype.string=function(e){var t=utf8.length(e);return t?this.uint32(t)._push(utf8.write,t,e):this._push(writeByte,1,0)},Writer.prototype.fork=function(){return this.states=new State(this),this.head=this.tail=new Op(noop,0,0),this.len=0,this},Writer.prototype.reset=function(){return this.states?(this.head=this.states.head,this.tail=this.states.tail,this.len=this.states.len,this.states=this.states.next):(this.head=this.tail=new Op(noop,0,0),this.len=0),this},Writer.prototype.ldelim=function(){var e=this.head,t=this.tail,a=this.len;return this.reset().uint32(a),a&&(this.tail.next=e.next,this.tail=t,this.len+=a),this},Writer.prototype.finish=function(){for(var e=this.head.next,t=this.constructor.alloc(this.len),a=0;e;)e.fn(e.val,t,a),a+=e.len,e=e.next;return t},Writer._configure=function(e){BufferWriter=e};var writer_buffer=BufferWriter$1;(BufferWriter$1.prototype=Object.create(writer.prototype)).constructor=BufferWriter$1;var Buffer=minimal.Buffer;function BufferWriter$1(){writer.call(this)}BufferWriter$1.alloc=function(e){return(BufferWriter$1.alloc=minimal._Buffer_allocUnsafe)(e)};var writeBytesBuffer=Buffer&&Buffer.prototype instanceof Uint8Array&&\"set\"===Buffer.prototype.set.name?function(e,t,a){t.set(e,a)}:function(e,t,a){if(e.copy)e.copy(t,a,0,e.length);else for(var r=0;r<e.length;)t[a++]=e[r++]};function writeStringBuffer(e,t,a){e.length<40?minimal.utf8.write(e,t,a):t.utf8Write(e,a)}BufferWriter$1.prototype.bytes=function(e){minimal.isString(e)&&(e=minimal._Buffer_from(e,\"base64\"));var t=e.length>>>0;return this.uint32(t),t&&this._push(writeBytesBuffer,t,e),this},BufferWriter$1.prototype.string=function(e){var t=Buffer.byteLength(e);return this.uint32(t),t&&this._push(writeStringBuffer,t,e),this};var reader=Reader,BufferReader,LongBits$2=minimal.LongBits,utf8$1=minimal.utf8;function indexOutOfRange(e,t){return RangeError(\"index out of range: \"+e.pos+\" + \"+(t||1)+\" > \"+e.len)}function Reader(e){this.buf=e,this.pos=0,this.len=e.length}var create_array=\"undefined\"!=typeof Uint8Array?function(e){if(e instanceof Uint8Array||Array.isArray(e))return new Reader(e);throw Error(\"illegal buffer\")}:function(e){if(Array.isArray(e))return new Reader(e);throw Error(\"illegal buffer\")};function readLongVarint(){var e=new LongBits$2(0,0),t=0;if(!(this.len-this.pos>4)){for(;t<3;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e}return e.lo=(e.lo|(127&this.buf[this.pos++])<<7*t)>>>0,e}for(;t<4;++t)if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e;if(e.lo=(e.lo|(127&this.buf[this.pos])<<28)>>>0,e.hi=(e.hi|(127&this.buf[this.pos])>>4)>>>0,this.buf[this.pos++]<128)return e;if(t=0,this.len-this.pos>4){for(;t<5;++t)if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}else for(;t<5;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}throw Error(\"invalid varint encoding\")}function readFixed32_end(e,t){return(e[t-4]|e[t-3]<<8|e[t-2]<<16|e[t-1]<<24)>>>0}function readFixed64(){if(this.pos+8>this.len)throw indexOutOfRange(this,8);return new LongBits$2(readFixed32_end(this.buf,this.pos+=4),readFixed32_end(this.buf,this.pos+=4))}Reader.create=minimal.Buffer?function(e){return(Reader.create=function(e){return minimal.Buffer.isBuffer(e)?new BufferReader(e):create_array(e)})(e)}:create_array,Reader.prototype._slice=minimal.Array.prototype.subarray||minimal.Array.prototype.slice,Reader.prototype.uint32=function(){var e=4294967295;return function(){if(e=(127&this.buf[this.pos])>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<7)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<14)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<21)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(15&this.buf[this.pos])<<28)>>>0,this.buf[this.pos++]<128)return e;if((this.pos+=5)>this.len)throw this.pos=this.len,indexOutOfRange(this,10);return e}}(),Reader.prototype.int32=function(){return 0|this.uint32()},Reader.prototype.sint32=function(){var e=this.uint32();return e>>>1^-(1&e)|0},Reader.prototype.bool=function(){return 0!==this.uint32()},Reader.prototype.fixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.sfixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return 0|readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.float=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readFloatLE(this.buf,this.pos);return this.pos+=4,e},Reader.prototype.double=function(){if(this.pos+8>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readDoubleLE(this.buf,this.pos);return this.pos+=8,e},Reader.prototype.bytes=function(){var e=this.uint32(),t=this.pos,a=this.pos+e;if(a>this.len)throw indexOutOfRange(this,e);return this.pos+=e,Array.isArray(this.buf)?this.buf.slice(t,a):t===a?new this.buf.constructor(0):this._slice.call(this.buf,t,a)},Reader.prototype.string=function(){var e=this.bytes();return utf8$1.read(e,0,e.length)},Reader.prototype.skip=function(e){if(\"number\"==typeof e){if(this.pos+e>this.len)throw indexOutOfRange(this,e);this.pos+=e}else do{if(this.pos>=this.len)throw indexOutOfRange(this)}while(128&this.buf[this.pos++]);return this},Reader.prototype.skipType=function(e){switch(e){case 0:this.skip();break;case 1:this.skip(8);break;case 2:this.skip(this.uint32());break;case 3:for(;;){if(4==(e=7&this.uint32()))break;this.skipType(e)}break;case 5:this.skip(4);break;default:throw Error(\"invalid wire type \"+e+\" at offset \"+this.pos)}return this},Reader._configure=function(e){BufferReader=e;var t=minimal.Long?\"toLong\":\"toNumber\";minimal.merge(Reader.prototype,{int64:function(){return readLongVarint.call(this)[t](!1)},uint64:function(){return readLongVarint.call(this)[t](!0)},sint64:function(){return readLongVarint.call(this).zzDecode()[t](!1)},fixed64:function(){return readFixed64.call(this)[t](!0)},sfixed64:function(){return readFixed64.call(this)[t](!1)}})};var reader_buffer=BufferReader$1;function BufferReader$1(e){reader.call(this,e)}(BufferReader$1.prototype=Object.create(reader.prototype)).constructor=BufferReader$1,minimal.Buffer&&(BufferReader$1.prototype._slice=minimal.Buffer.prototype.slice),BufferReader$1.prototype.string=function(){var e=this.uint32();return this.buf.utf8Slice(this.pos,this.pos=Math.min(this.pos+e,this.len))};var service=Service;function Service(e,t,a){if(\"function\"!=typeof e)throw TypeError(\"rpcImpl must be a function\");minimal.EventEmitter.call(this),this.rpcImpl=e,this.requestDelimited=Boolean(t),this.responseDelimited=Boolean(a)}(Service.prototype=Object.create(minimal.EventEmitter.prototype)).constructor=Service,Service.prototype.rpcCall=function e(t,a,r,n,o){if(!n)throw TypeError(\"request must be specified\");var s=this;if(!o)return minimal.asPromise(e,s,t,a,r,n);if(s.rpcImpl)try{return s.rpcImpl(t,a[s.requestDelimited?\"encodeDelimited\":\"encode\"](n).finish(),function(e,a){if(e)return s.emit(\"error\",e,t),o(e);if(null!==a){if(!(a instanceof r))try{a=r[s.responseDelimited?\"decodeDelimited\":\"decode\"](a)}catch(e){return s.emit(\"error\",e,t),o(e)}return s.emit(\"data\",a,t),o(null,a)}s.end(!0)})}catch(e){return s.emit(\"error\",e,t),void setTimeout(function(){o(e)},0)}else setTimeout(function(){o(Error(\"already ended\"))},0)},Service.prototype.end=function(e){return this.rpcImpl&&(e||this.rpcImpl(null,null,null),this.rpcImpl=null,this.emit(\"end\").off()),this};var rpc_1=createCommonjsModule(function(e,t){t.Service=service}),roots={},indexMinimal=createCommonjsModule(function(e,t){var a=t;function r(){a.Reader._configure(a.BufferReader),a.util._configure()}a.build=\"minimal\",a.Writer=writer,a.BufferWriter=writer_buffer,a.Reader=reader,a.BufferReader=reader_buffer,a.util=minimal,a.rpc=rpc_1,a.roots=roots,a.configure=r,a.Writer._configure(a.BufferWriter),r()}),minimal$1=indexMinimal,minimal_1=minimal$1.roots,minimal_2=minimal$1.Reader,minimal_3=minimal$1.util,$Reader=minimal$1.Reader,$util=minimal$1.util,$root=minimal$1.roots.default||(minimal$1.roots.default={});$root.tensorflow=function(){var e,t,a={};return a.Any=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.typeUrl=\"\",e.prototype.value=$util.newBuffer([]),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Any;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.typeUrl=e.string();break;case 2:r.value=e.bytes();break;default:e.skipType(7&n)}}return r},e}(),a.DataType=(e={},(t=Object.create(e))[e[0]=\"DT_INVALID\"]=0,t[e[1]=\"DT_FLOAT\"]=1,t[e[2]=\"DT_DOUBLE\"]=2,t[e[3]=\"DT_INT32\"]=3,t[e[4]=\"DT_UINT8\"]=4,t[e[5]=\"DT_INT16\"]=5,t[e[6]=\"DT_INT8\"]=6,t[e[7]=\"DT_STRING\"]=7,t[e[8]=\"DT_COMPLEX64\"]=8,t[e[9]=\"DT_INT64\"]=9,t[e[10]=\"DT_BOOL\"]=10,t[e[11]=\"DT_QINT8\"]=11,t[e[12]=\"DT_QUINT8\"]=12,t[e[13]=\"DT_QINT32\"]=13,t[e[14]=\"DT_BFLOAT16\"]=14,t[e[101]=\"DT_FLOAT_REF\"]=101,t[e[102]=\"DT_DOUBLE_REF\"]=102,t[e[103]=\"DT_INT32_REF\"]=103,t[e[104]=\"DT_UINT8_REF\"]=104,t[e[105]=\"DT_INT16_REF\"]=105,t[e[106]=\"DT_INT8_REF\"]=106,t[e[107]=\"DT_STRING_REF\"]=107,t[e[108]=\"DT_COMPLEX64_REF\"]=108,t[e[109]=\"DT_INT64_REF\"]=109,t[e[110]=\"DT_BOOL_REF\"]=110,t[e[111]=\"DT_QINT8_REF\"]=111,t[e[112]=\"DT_QUINT8_REF\"]=112,t[e[113]=\"DT_QINT32_REF\"]=113,t[e[114]=\"DT_BFLOAT16_REF\"]=114,t),a.TensorShape=function(){function e(e){if(this.dim=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.dim=$util.emptyArray,e.prototype.unknownRank=!1,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape;e.pos<a;){var n=e.uint32();switch(n>>>3){case 2:r.dim&&r.dim.length||(r.dim=[]),r.dim.push($root.tensorflow.TensorShape.Dim.decode(e,e.uint32()));break;case 3:r.unknownRank=e.bool();break;default:e.skipType(7&n)}}return r},e.Dim=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.size=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.name=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape.Dim;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.size=e.int64();break;case 2:r.name=e.string();break;default:e.skipType(7&n)}}return r},e}(),e}(),a.Tensor=function(){function e(e){if(this.floatVal=[],this.doubleVal=[],this.intVal=[],this.stringVal=[],this.scomplexVal=[],this.int64Val=[],this.boolVal=[],this.uint32Val=[],this.uint64Val=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.dtype=0,e.prototype.tensorShape=null,e.prototype.versionNumber=0,e.prototype.tensorContent=$util.newBuffer([]),e.prototype.floatVal=$util.emptyArray,e.prototype.doubleVal=$util.emptyArray,e.prototype.intVal=$util.emptyArray,e.prototype.stringVal=$util.emptyArray,e.prototype.scomplexVal=$util.emptyArray,e.prototype.int64Val=$util.emptyArray,e.prototype.boolVal=$util.emptyArray,e.prototype.uint32Val=$util.emptyArray,e.prototype.uint64Val=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Tensor;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.dtype=e.int32();break;case 2:r.tensorShape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 3:r.versionNumber=e.int32();break;case 4:r.tensorContent=e.bytes();break;case 5:if(r.floatVal&&r.floatVal.length||(r.floatVal=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.floatVal.push(e.float());else r.floatVal.push(e.float());break;case 6:if(r.doubleVal&&r.doubleVal.length||(r.doubleVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.doubleVal.push(e.double());else r.doubleVal.push(e.double());break;case 7:if(r.intVal&&r.intVal.length||(r.intVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.intVal.push(e.int32());else r.intVal.push(e.int32());break;case 8:r.stringVal&&r.stringVal.length||(r.stringVal=[]),r.stringVal.push(e.bytes());break;case 9:if(r.scomplexVal&&r.scomplexVal.length||(r.scomplexVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.scomplexVal.push(e.float());else r.scomplexVal.push(e.float());break;case 10:if(r.int64Val&&r.int64Val.length||(r.int64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.int64Val.push(e.int64());else r.int64Val.push(e.int64());break;case 11:if(r.boolVal&&r.boolVal.length||(r.boolVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.boolVal.push(e.bool());else r.boolVal.push(e.bool());break;case 16:if(r.uint32Val&&r.uint32Val.length||(r.uint32Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint32Val.push(e.uint32());else r.uint32Val.push(e.uint32());break;case 17:if(r.uint64Val&&r.uint64Val.length||(r.uint64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint64Val.push(e.uint64());else r.uint64Val.push(e.uint64());break;default:e.skipType(7&n)}}return r},e}(),a.AttrValue=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return e.prototype.list=null,e.prototype.s=$util.newBuffer([]),e.prototype.i=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.f=0,e.prototype.b=!1,e.prototype.type=0,e.prototype.shape=null,e.prototype.tensor=null,e.prototype.placeholder=\"\",e.prototype.func=null,Object.defineProperty(e.prototype,\"value\",{get:$util.oneOfGetter(t=[\"list\",\"s\",\"i\",\"f\",\"b\",\"type\",\"shape\",\"tensor\",\"placeholder\",\"func\"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.list=$root.tensorflow.AttrValue.ListValue.decode(e,e.uint32());break;case 2:r.s=e.bytes();break;case 3:r.i=e.int64();break;case 4:r.f=e.float();break;case 5:r.b=e.bool();break;case 6:r.type=e.int32();break;case 7:r.shape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 8:r.tensor=$root.tensorflow.Tensor.decode(e,e.uint32());break;case 9:r.placeholder=e.string();break;case 10:r.func=$root.tensorflow.NameAttrList.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.ListValue=function(){function e(e){if(this.s=[],this.i=[],this.f=[],this.b=[],this.type=[],this.shape=[],this.tensor=[],this.func=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.s=$util.emptyArray,e.prototype.i=$util.emptyArray,e.prototype.f=$util.emptyArray,e.prototype.b=$util.emptyArray,e.prototype.type=$util.emptyArray,e.prototype.shape=$util.emptyArray,e.prototype.tensor=$util.emptyArray,e.prototype.func=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue.ListValue;e.pos<a;){var n=e.uint32();switch(n>>>3){case 2:r.s&&r.s.length||(r.s=[]),r.s.push(e.bytes());break;case 3:if(r.i&&r.i.length||(r.i=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.i.push(e.int64());else r.i.push(e.int64());break;case 4:if(r.f&&r.f.length||(r.f=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.f.push(e.float());else r.f.push(e.float());break;case 5:if(r.b&&r.b.length||(r.b=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.b.push(e.bool());else r.b.push(e.bool());break;case 6:if(r.type&&r.type.length||(r.type=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.type.push(e.int32());else r.type.push(e.int32());break;case 7:r.shape&&r.shape.length||(r.shape=[]),r.shape.push($root.tensorflow.TensorShape.decode(e,e.uint32()));break;case 8:r.tensor&&r.tensor.length||(r.tensor=[]),r.tensor.push($root.tensorflow.Tensor.decode(e,e.uint32()));break;case 9:r.func&&r.func.length||(r.func=[]),r.func.push($root.tensorflow.NameAttrList.decode(e,e.uint32()));break;default:e.skipType(7&n)}}return r},e}(),e}(),a.NameAttrList=function(){function e(e){if(this.attr={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.NameAttrList;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:n.name=e.string();break;case 2:e.skip().pos++,n.attr===$util.emptyObject&&(n.attr={}),a=e.string(),e.pos++,n.attr[a]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&o)}}return n},e}(),a.NodeDef=function(){function e(e){if(this.input=[],this.attr={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.op=\"\",e.prototype.input=$util.emptyArray,e.prototype.device=\"\",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.NodeDef;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:n.name=e.string();break;case 2:n.op=e.string();break;case 3:n.input&&n.input.length||(n.input=[]),n.input.push(e.string());break;case 4:n.device=e.string();break;case 5:e.skip().pos++,n.attr===$util.emptyObject&&(n.attr={}),a=e.string(),e.pos++,n.attr[a]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&o)}}return n},e}(),a.VersionDef=function(){function e(e){if(this.badConsumers=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.producer=0,e.prototype.minConsumer=0,e.prototype.badConsumers=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.VersionDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.producer=e.int32();break;case 2:r.minConsumer=e.int32();break;case 3:if(r.badConsumers&&r.badConsumers.length||(r.badConsumers=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.badConsumers.push(e.int32());else r.badConsumers.push(e.int32());break;default:e.skipType(7&n)}}return 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e(){var e=[arithmetic,basicMath,control,convolution,creation,dynamic,evaluation,logical,image$1,graph,matrices,normalization,reduction,sliceJoin,transformation],t=[].concat.apply([],e.map(function(e){return e.json}));this.opMappers=t.reduce(function(e,t){return e[t.tfOpName]=t,e},{})}return Object.defineProperty(e,\"Instance\",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),e.prototype.isControlFlow=function(e){return CONTROL_FLOW_OPS.some(function(t){return t===e.op})},e.prototype.isDynamicShape=function(e){return DYNAMIC_SHAPE_OPS.some(function(t){return t===e.op})},e.prototype.transformGraph=function(e){var t=this,a=!1,r=!1,n=[],o=[],s=e.node.reduce(function(e,s){return e[s.name]=t.mapNode(s),t.isControlFlow(s)&&(a=!0),t.isDynamicShape(s)&&(r=!0),\"Placeholder\"===s.op&&n.push(e[s.name]),\"Const\"===s.op&&o.push(e[s.name]),e},{}),i=[],p=[];return Object.keys(s).forEach(function(e){var t=s[e];t.inputNames.forEach(function(e){var 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0===(i=t.getNumberParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getNumberParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"number[]\":void 0===(i=t.getNumericArrayParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getNumericArrayParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"bool\":void 0===(i=t.getBoolParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getBoolParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"shape\":void 0===(i=t.getTensorShapeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getTensorShapeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"dtype\":void 0===(i=t.getDtypeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getDtypeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(\"Unsupported param type: \"+r.type+\" for op: \"+e.op)}return a[r.dlParamName]={value:i,inputIndex:n,type:s,inputParamLength:o},a},{})),r},e.prototype.getStringParam=function(e,t,a,r){void 0===r&&(r=!1);var n=e[t];if(void 0!==n){var o=String.fromCharCode.apply(null,n.s);return r?o:o.toLowerCase()}return a},e.prototype.getBoolParam=function(e,t,a){var r=e[t];return r?r.b:a},e.prototype.getNumberParam=function(e,t,a){var r=e[t],n=r?r[r.value]:a;return\"number\"==typeof n?n:n.toInt()},e.prototype.getDtypeParam=function(e,t,a){var r=e[t];if(r&&r.type)switch(r.type){case compiled_api_1.DataType.DT_FLOAT:return\"float32\";case compiled_api_1.DataType.DT_INT32:return\"int32\";case compiled_api_1.DataType.DT_BOOL:return\"bool\";default:return a}return a},e.prototype.getTensorShapeParam=function(e,t,a){var r=e[t];return r&&r.shape?r.shape.dim.map(function(e){return\"number\"==typeof e.size?e.size:e.size.toInt()}):a},e.prototype.getNumericArrayParam=function(e,t,a){var r=e[t];return r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(e){return\"number\"==typeof e?e:e.toInt()}):a},e}(),executeOp=function(e,t,a){switch(e.op){case\"add\":return[add(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"addN\":return[addN(getParamValue(\"tensors\",e,t,a))];case\"mod\":return[mod(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"mul\":return[mul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"div\":return[div(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"floorDiv\":return[floorDiv(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"sub\":return[sub(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"minimum\":return[minimum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"maximum\":return[maximum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"pow\":return[pow(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"squaredDifference\":return[squaredDifference(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$1=function(e,t,a){switch(e.op){case\"abs\":return[abs(getParamValue(\"x\",e,t,a))];case\"acos\":return[acos(getParamValue(\"x\",e,t,a))];case\"acosh\":return[acosh(getParamValue(\"x\",e,t,a))];case\"asin\":return[asin(getParamValue(\"x\",e,t,a))];case\"asinh\":return[asinh(getParamValue(\"x\",e,t,a))];case\"atan\":return[atan(getParamValue(\"x\",e,t,a))];case\"atan2\":return[atan2(getParamValue(\"x\",e,t,a),getParamValue(\"y\",e,t,a))];case\"atanh\":return[atanh(getParamValue(\"x\",e,t,a))];case\"ceil\":return[ceil(getParamValue(\"x\",e,t,a))];case\"cos\":return[cos(getParamValue(\"x\",e,t,a))];case\"cosh\":return[cosh(getParamValue(\"x\",e,t,a))];case\"elu\":return[elu(getParamValue(\"x\",e,t,a))];case\"erf\":return[erf(getParamValue(\"x\",e,t,a))];case\"exp\":return[exp(getParamValue(\"x\",e,t,a))];case\"expm1\":return[expm1(getParamValue(\"x\",e,t,a))];case\"floor\":return[floor(getParamValue(\"x\",e,t,a))];case\"log\":return[log(getParamValue(\"x\",e,t,a))];case\"log1p\":return[log1p(getParamValue(\"x\",e,t,a))];case\"neg\":return[neg(getParamValue(\"x\",e,t,a))];case\"reciprocal\":return[reciprocal(getParamValue(\"x\",e,t,a))];case\"relu\":return[relu(getParamValue(\"x\",e,t,a))];case\"round\":return[round(getParamValue(\"x\",e,t,a))];case\"selu\":return[selu(getParamValue(\"x\",e,t,a))];case\"sigmoid\":return[sigmoid(getParamValue(\"x\",e,t,a))];case\"sin\":return[sin(getParamValue(\"x\",e,t,a))];case\"sign\":return[sign(getParamValue(\"x\",e,t,a))];case\"sinh\":return[sinh(getParamValue(\"x\",e,t,a))];case\"softplus\":return[softplus(getParamValue(\"x\",e,t,a))];case\"sqrt\":return[sqrt(getParamValue(\"x\",e,t,a))];case\"square\":return[square(getParamValue(\"x\",e,t,a))];case\"tanh\":return[tanh(getParamValue(\"x\",e,t,a))];case\"tan\":return[tan(getParamValue(\"x\",e,t,a))];case\"clipByValue\":return[clipByValue(getParamValue(\"x\",e,t,a),getParamValue(\"clipValueMin\",e,t,a),getParamValue(\"clipValueMax\",e,t,a))];case\"rsqrt\":return[div(scalar(1,\"float32\"),sqrt(getTensor(e.inputNames[0],t,a)))];case\"prod\":return[prod(getParamValue(\"x\",e,t,a),getParamValue(\"axes\",e,t,a))];case\"leakyRelu\":return[leakyRelu(getParamValue(\"x\",e,t,a),getParamValue(\"alpha\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},TensorArray=function(){function e(t,a,r,n,o,s,i){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=o,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,\"closed\",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||e>=this.tensors.length)throw new Error(\"Tried to read from index \"+e+\", but array size is: \"+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error(\"TensorArray \"+this.name+\": Could not read index \"+e+\" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).\");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(\"Tried to write to index \"+e+\", but array is not resizeable and size is: \"+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\",\\n          because the value dtype is \"+t.dtype+\", but TensorArray dtype is \"+this.dtype+\".\");if(0===this.size()&&0===this.elementShape.length&&(this.elementShape=t.shape),this.assertShapesMatch(this.elementShape,t.shape,\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\".\"),a&&a.read)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been read.\");if(a&&a.written)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been written.\");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error(\"TensorArray \"+this.name+\": could not write multiple tensors,because the index size: \"+e.length+\" is not the same as tensors size: \"+t.length+\".\");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but gather requested dtype \"+t);if(!e){e=[];for(var a=0;a<this.size();a++)e.push(a)}if(0===e.length)return tensor([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: \"),stack(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but concat requested dtype \"+e);if(0===this.size())return tensor([],[0].concat(this.elementShape));for(var t=[],a=0;a<this.size();a++)t.push(a);var r=this.readMany(t);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: tensor array shape (\"+this.elementShape+\") vs first tensor shape (\"+r[0].shape+\")\"),concat(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);if(e.length!==t.shape[0])throw new Error(\"Expected len(indices) == tensor.shape[0], but saw: \"+e.length+\" vs. \"+t.shape[0]);var a=Math.max.apply(Math,e);if(!this.dynamicSize&&a>=this.maxSize)throw new Error(\"Max index must be < array size (\"+a+\"  vs. \"+this.maxSize+\")\");this.writeMany(e,unstack(t,0))},e.prototype.split=function(e,t){var a=this;if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);var r=0,n=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error(\"Expected sum of lengths to be equal to\\n          tensor.shape[0], but sum of lengths is\\n        \"+r+\", and tensor's shape is: \"+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(\"TensorArray's size is not equal to the size of lengths (\"+this.maxSize+\" vs. \"+e.length+\"), and the TensorArray is not marked as dynamically resizeable\");var o=0===r?0:t.size/r,s=[];tidy(function(){t=t.reshape([1,r,o]);for(var i=0;i<e.length;++i){var p=[0,0===i?0:n[i-1],0],m=[1,e[i],o];s[i]=slice(t,p,m).reshape(a.elementShape)}return s});for(var i=[],p=0;p<e.length;p++)i[p]=p;this.writeMany(i,s)},e.prototype.assertShapesMatch=function(e,t,a){void 0===a&&(a=\"\"),util.assert(this.arraysEqual(e,t),a+\" Shapes \"+e+\" and \"+t+\" must match\")},e.prototype.arraysEqual=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}();function executeOp$2(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i,p,m,u,l,d,c,f,y,h,g,N,P,x,b,I,v,O,V,w,T,k,S,$,_,A,D,j,E,C,R;return __generator(this,function(L){switch(L.label){case 0:switch(e.op){case\"loopCond\":return[3,1];case\"switch\":return[3,2];case\"merge\":return[3,4];case\"enter\":return[3,5];case\"exit\":return[3,6];case\"nextIteration\":return[3,7];case\"tensorArray\":return[3,8];case\"tensorArrayWrite\":return[3,9];case\"tensorArrayRead\":return[3,10];case\"tensorArrayGather\":return[3,11];case\"tensorArrayScatter\":return[3,12];case\"tensorArrayConcat\":return[3,13];case\"tensorArraySplit\":return[3,14];case\"tensorArraySize\":return[3,15];case\"tensorArrayClose\":return[3,16]}return[3,17];case 1:return[2,[getParamValue(\"pred\",e,t,a).clone()]];case 2:return r=getParamValue(\"pred\",e,t,a),n=getParamValue(\"data\",e,t,a),[4,r.data()];case 3:return[2,L.sent()[0]?[void 0,n.clone()]:[n.clone(),void 0]];case 4:return[2,(o=e.inputNames.find(function(e){return void 0!==getTensor(e,t,a)}))?[getTensor(o,t,a).clone()]:void 0];case 5:return s=getParamValue(\"frameName\",e,t,a),i=getParamValue(\"tensor\",e,t,a),a.enterFrame(s),[2,[i.clone()]];case 6:return p=getParamValue(\"tensor\",e,t,a),a.exitFrame(),[2,[p.clone()]];case 7:return m=getParamValue(\"tensor\",e,t,a),a.nextIteration(),[2,[m.clone()]];case 8:return u=getParamValue(\"size\",e,t,a),l=getParamValue(\"dtype\",e,t,a),d=getParamValue(\"elementShape\",e,t,a),c=getParamValue(\"dynamicSize\",e,t,a),f=getParamValue(\"clearAfterRead\",e,t,a),y=getParamValue(\"identicalElementShapes\",e,t,a),h=getParamValue(\"name\",e,t,a),g=new TensorArray(h,l,u,d,y,c,f),a.addTensorArray(g),[2,[scalar(g.id),scalar(1)]];case 9:return N=getParamValue(\"tensorArrayId\",e,t,a),P=getParamValue(\"index\",e,t,a),x=getParamValue(\"tensor\",e,t,a),a.getTensorArray(N).write(P,x),[2,[scalar(1)]];case 10:return b=getParamValue(\"tensorArrayId\",e,t,a),I=getParamValue(\"index\",e,t,a),[2,[a.getTensorArray(b).read(I)]];case 11:return v=getParamValue(\"tensorArrayId\",e,t,a),O=getParamValue(\"indices\",e,t,a),V=getParamValue(\"dtype\",e,t,a),[2,[a.getTensorArray(v).gather(O,V)]];case 12:return w=getParamValue(\"tensorArrayId\",e,t,a),T=getParamValue(\"indices\",e,t,a),k=getParamValue(\"tensor\",e,t,a),a.getTensorArray(w).scatter(T,k),[2,[scalar(1)]];case 13:return S=getParamValue(\"tensorArrayId\",e,t,a),$=a.getTensorArray(S),_=getParamValue(\"dtype\",e,t,a),[2,[$.concat(_)]];case 14:return A=getParamValue(\"tensorArrayId\",e,t,a),D=getParamValue(\"tensor\",e,t,a),j=getParamValue(\"lengths\",e,t,a),a.getTensorArray(A).split(j,D),[2,[scalar(1)]];case 15:return E=getParamValue(\"tensorArrayId\",e,t,a),C=a.getTensorArray(E),[2,[scalar(C.size(),\"int32\")]];case 16:return R=getParamValue(\"tensorArrayId\",e,t,a),a.getTensorArray(R).clearAndClose(),[2,[]];case 17:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$3=function(e,t,a){switch(e.op){case\"conv1d\":var r=getParamValue(\"stride\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase(),s=getParamValue(\"dilation\",e,t,a);return[conv1d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),r,n,o,s)];case\"conv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();var i=getParamValue(\"dilations\",e,t,a);return[conv2d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"conv2dTranspose\":var p=getParamValue(\"outputShape\",e,t,a);r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);return[conv2dTranspose(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),p,[r[1],r[2]],n)];case\"depthwiseConv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),i=getParamValue(\"dilations\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();return[depthwiseConv2d(getParamValue(\"input\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"avgPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);var m=getParamValue(\"kernelSize\",e,t,a);return[avgPool(getParamValue(\"x\",e,t,a),[m[1],m[2]],[r[1],r[2]],n)];case\"maxPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),m=getParamValue(\"kernelSize\",e,t,a);return[maxPool(getParamValue(\"x\",e,t,a),[m[1],m[2]],[r[1],r[2]],n)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$4=function(e,t,a){switch(e.op){case\"fill\":var r=getParamValue(\"shape\",e,t,a),n=getParamValue(\"dtype\",e,t,a),o=getParamValue(\"value\",e,t,a);return[fill(r,o,n)];case\"linspace\":var s=getParamValue(\"start\",e,t,a),i=getParamValue(\"stop\",e,t,a),p=getParamValue(\"num\",e,t,a);return[linspace(s,i,p)];case\"oneHot\":var m=getParamValue(\"indices\",e,t,a),u=getParamValue(\"depth\",e,t,a),l=getParamValue(\"onValue\",e,t,a),d=getParamValue(\"offValue\",e,t,a);return[oneHot(m,u,l,d)];case\"ones\":return[ones(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"onesLike\":return[onesLike(getParamValue(\"x\",e,t,a))];case\"randomUniform\":return[randomUniform(getParamValue(\"shape\",e,t,a),getParamValue(\"minval\",e,t,a),getParamValue(\"maxval\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"range\":s=getParamValue(\"start\",e,t,a);var c=getParamValue(\"stop\",e,t,a),f=getParamValue(\"step\",e,t,a);return[range(s,c,f,getParamValue(\"dtype\",e,t,a))];case\"truncatedNormal\":r=getParamValue(\"shape\",e,t,a);var y=getParamValue(\"mean\",e,t,a),h=getParamValue(\"stdDev\",e,t,a),g=getParamValue(\"seed\",e,t,a);return[truncatedNormal(r,y,h,getParamValue(\"dtype\",e,t,a),g)];case\"zeros\":return[zeros(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"zerosLike\":return[zerosLike(getParamValue(\"x\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$5(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i;return __generator(this,function(p){switch(p.label){case 0:switch(e.op){case\"nonMaxSuppression\":return[3,1];case\"whereAsync\":return[3,3];case\"setdiff1dAsync\":return[3,5]}return[3,7];case 1:return r=getParamValue(\"boxes\",e,t,a),n=getParamValue(\"scores\",e,t,a),o=getParamValue(\"maxOutputSize\",e,t,a),s=getParamValue(\"iouThreshold\",e,t,a),i=getParamValue(\"scoreThreshold\",e,t,a),[4,image.nonMaxSuppressionAsync(r,n,o,s,i)];case 2:return[2,[p.sent()]];case 3:return[4,whereAsync(getParamValue(\"condition\",e,t,a))];case 4:return[2,[p.sent()]];case 5:return[4,setdiff1dAsync(getParamValue(\"x\",e,t,a),getParamValue(\"y\",e,t,a))];case 6:return[2,p.sent()];case 7:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$6=function(e,t,a){switch(e.op){case\"topK\":var r=getParamValue(\"x\",e,t,a),n=getParamValue(\"k\",e,t,a),o=getParamValue(\"sorted\",e,t,a),s=topk(r,n,o);return[s.values,s.indices];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$7=function(e,t,a){switch(e.op){case\"const\":return t[e.name];case\"placeholder\":var r=getParamValue(\"default\",e,t,a);return[getTensor(e.name,t,a)||r];case\"identity\":case\"stopGradient\":case\"fakeQuantWithMinMaxVars\":return[getParamValue(\"x\",e,t,a).clone()];case\"snapshot\":return[getParamValue(\"x\",e,t,a).clone()];case\"shape\":return[tensor1d(getParamValue(\"x\",e,t,a).shape,\"int32\")];case\"shapeN\":return getParamValue(\"x\",e,t,a).map(function(e){return tensor1d(e.shape)});case\"size\":return[scalar(getParamValue(\"x\",e,t,a).size,\"int32\")];case\"rank\":return[scalar(getParamValue(\"x\",e,t,a).rank,\"int32\")];case\"noop\":return[];case\"print\":var n=getParamValue(\"x\",e,t,a),o=getParamValue(\"data\",e,t,a),s=getParamValue(\"message\",e,t,a),i=getParamValue(\"summarize\",e,t,a);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(s);for(var p=0;p<o.length;p++)console.log(Array.prototype.slice.call(o[0].dataSync()).slice(0,i));return[n];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$8=function(e,t,a){switch(e.op){case\"resizeBilinear\":var r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeBilinear(r,[n[0],n[1]],o)];case\"resizeNearestNeighbor\":r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeNearestNeighbor(r,[n[0],n[1]],o)];case\"cropAndResize\":var s=getParamValue(\"image\",e,t,a),i=getParamValue(\"boxes\",e,t,a),p=getParamValue(\"boxInd\",e,t,a),m=getParamValue(\"cropSize\",e,t,a),u=getParamValue(\"method\",e,t,a),l=getParamValue(\"extrapolationValue\",e,t,a);return[image.cropAndResize(s,i,p,m,u,l)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$9=function(e,t,a){switch(e.op){case\"equal\":return[equal(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"notEqual\":return[notEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greater\":return[greater(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greaterEqual\":return[greaterEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"less\":return[less(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"lessEqual\":return[lessEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalAnd\":return[logicalAnd(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalNot\":return[logicalNot(getParamValue(\"a\",e,t,a))];case\"logicalOr\":return[logicalOr(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"where\":return[where(getParamValue(\"condition\",e,t,a),getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$10=function(e,t,a){switch(e.op){case\"matMul\":return[matMul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a),getParamValue(\"transposeA\",e,t,a),getParamValue(\"transposeB\",e,t,a))];case\"transpose\":return[transpose(getParamValue(\"x\",e,t,a),getParamValue(\"perm\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$11=function(e,t,a){switch(e.op){case\"batchNormalization\":return[batchNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"mean\",e,t,a),getParamValue(\"variance\",e,t,a),getParamValue(\"epsilon\",e,t,a),getParamValue(\"scale\",e,t,a),getParamValue(\"offset\",e,t,a))];case\"localResponseNormalization\":return[localResponseNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"radius\",e,t,a),getParamValue(\"bias\",e,t,a),getParamValue(\"alpha\",e,t,a),getParamValue(\"beta\",e,t,a))];case\"softmax\":return[softmax(getParamValue(\"x\",e,t,a))];case\"logSoftmax\":return[logSoftmax(getParamValue(\"x\",e,t,a))];case\"sparseToDense\":return[sparseToDense(getParamValue(\"sparseIndices\",e,t,a),getParamValue(\"outputShape\",e,t,a),getParamValue(\"sparseValues\",e,t,a),getParamValue(\"defaultValue\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$12=function(e,t,a){switch(e.op){case\"max\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[max(getParamValue(\"x\",e,t,a),r,n)];case\"mean\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[mean(getParamValue(\"x\",e,t,a),r,n)];case\"min\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[min(getParamValue(\"x\",e,t,a),r,n)];case\"sum\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[sum(getParamValue(\"x\",e,t,a),r,n)];case\"all\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[all(getParamValue(\"x\",e,t,a),r,n)];case\"any\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[any(getParamValue(\"x\",e,t,a),r,n)];case\"argMax\":r=getParamValue(\"axis\",e,t,a);return[argMax(getParamValue(\"x\",e,t,a),r)];case\"argMin\":r=getParamValue(\"axis\",e,t,a);return[argMin(getParamValue(\"x\",e,t,a),r)];case\"prod\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[prod(getParamValue(\"x\",e,t,a),r,n)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$13=function(e,t,a){switch(e.op){case\"concat\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a);return[concat(n,r)];case\"gather\":r=getParamValue(\"axis\",e,t,a);var o=getParamValue(\"x\",e,t,a),s=getParamValue(\"indices\",e,t,a);return[gather(o,s,r)];case\"reverse\":r=getParamValue(\"axis\",e,t,a),o=getParamValue(\"x\",e,t,a);return[reverse(o,r)];case\"slice\":var i=getParamValue(\"begin\",e,t,a),p=getParamValue(\"size\",e,t,a);return[slice(getParamValue(\"x\",e,t,a),i,p)];case\"stridedSlice\":i=getParamValue(\"begin\",e,t,a);var m=getParamValue(\"end\",e,t,a),u=getParamValue(\"strides\",e,t,a),l=getParamValue(\"beginMask\",e,t,a),d=getParamValue(\"endMask\",e,t,a),c=getParamValue(\"ellipsisMask\",e,t,a),f=getParamValue(\"newAxisMask\",e,t,a),y=getParamValue(\"shrinkAxisMask\",e,t,a),h=getParamValue(\"x\",e,t,a);if(1===i.length&&h.shape.length>1)for(var g=1;g<h.shape.length;g++)i.push(0),m.push(h.shape[g]),u.push(u[0]);return[stridedSlice(h,i,m,u,l,d,c,f,y)];case\"stack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a),o=n[0].shape,s=n[0].squeeze().shape,i=n.map(function(e){var t=util.arraysEqual(e.shape,o);if(!t&&!util.arraysEqual(e.squeeze().shape,s))throw new Error(\"the input tensors shape does not match\");return t?e:e.reshape(o)});return[stack(i,r)]});case\"unstack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensor\",e,t,a);return unstack(n,r)});case\"tile\":var N=getParamValue(\"reps\",e,t,a);return[tile(getParamValue(\"x\",e,t,a),N)];case\"split\":r=getParamValue(\"axis\",e,t,a);var P=getParamValue(\"numOrSizeSplits\",e,t,a);return split(getParamValue(\"x\",e,t,a),P,r);case\"scatterNd\":s=getParamValue(\"indices\",e,t,a);var x=getParamValue(\"values\",e,t,a),b=getParamValue(\"shape\",e,t,a);return[scatterND(s,x,b)];case\"gatherNd\":var I=getParamValue(\"x\",e,t,a);s=getParamValue(\"indices\",e,t,a);return[gatherND(I,s)];case\"sparseToDense\":s=getParamValue(\"sparseIndices\",e,t,a),b=getParamValue(\"outputShape\",e,t,a);var v=getParamValue(\"sparseValues\",e,t,a),O=getParamValue(\"defaultValue\",e,t,a);return[sparseToDense(s,v,b,O)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$14=function(e,t,a){switch(e.op){case\"cast\":return[cast(getParamValue(\"x\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"expandDims\":var r=getParamValue(\"axis\",e,t,a);return[expandDims(getParamValue(\"x\",e,t,a),r)];case\"squeeze\":r=getParamValue(\"axis\",e,t,a);return[squeeze(getParamValue(\"x\",e,t,a),r)];case\"reshape\":return[reshape(getParamValue(\"x\",e,t,a),getParamValue(\"shape\",e,t,a))];case\"pad\":return[pad(getParamValue(\"x\",e,t,a),split$1(getParamValue(\"padding\",e,t,a),2),getParamValue(\"constantValue\",e,t,a))];case\"spaceToBatchND\":var n=getParamValue(\"blockShape\",e,t,a),o=split$1(getParamValue(\"paddings\",e,t,a),2);return[spaceToBatchND(getParamValue(\"x\",e,t,a),n,o)];case\"batchToSpaceND\":n=getParamValue(\"blockShape\",e,t,a);var s=split$1(getParamValue(\"crops\",e,t,a),2);return[batchToSpaceND(getParamValue(\"x\",e,t,a),n,s)];case\"depthToSpace\":var i=getParamValue(\"blockSize\",e,t,a),p=getParamValue(\"dataFormat\",e,t,a);return[depthToSpace(getParamValue(\"x\",e,t,a),i,p)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$15(e,t,a){switch(e.category){case\"arithmetic\":return executeOp(e,t,a);case\"basic_math\":return executeOp$1(e,t,a);case\"control\":return executeOp$2(e,t,a);case\"convolution\":return executeOp$3(e,t,a);case\"creation\":return executeOp$4(e,t,a);case\"dynamic\":return executeOp$5(e,t,a);case\"evaluation\":return executeOp$6(e,t,a);case\"image\":return executeOp$8(e,t,a);case\"graph\":return executeOp$7(e,t,a);case\"logical\":return executeOp$9(e,t,a);case\"matrices\":return executeOp$10(e,t,a);case\"normalization\":return executeOp$11(e,t,a);case\"reduction\":return executeOp$12(e,t,a);case\"slice_join\":return executeOp$13(e,t,a);case\"transformation\":return executeOp$14(e,t,a);default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,\"currentContext\",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextId\",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextIds\",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(\"\"),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?\"\":e.frameName+\"-\"+e.iterationId}).join(\"/\"):\"\"},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error(\"Cannot exit frame, the context is empty\");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error(\"Cannot increase frame iteration, the context is empty\");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}(),GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this.placeholders=e.placeholders,this._outputs=e.outputs,this.compile()}return Object.defineProperty(e.prototype,\"weightMap\",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.placeholders.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.placeholders.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.outputs.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isControlFlowModel\",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isDynamicShapeModel\",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),e.prototype.compile=function(e){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var t=[],a=e||this.graph.placeholders,r=a.map(function(e){return e.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var n=a.concat(this.graph.weights),o={};n.length>0;){var s=n.pop();o[s.name]=!0,t.push(s),s.children.forEach(function(e){!o[e.name]&&e.inputNames.every(function(e){var t=getNodeNameAndIndex(e)[0];return o[t]})&&n.push(e)})}this.compiledMap.set(r,t)}}},e.prototype.execute=function(e,t,a){var r=this;void 0===t&&(t=!0);var n=Object.keys(e).sort();this.checkInput(e,t),this.checkInputShapeAndType(e,t),this.compile(n.map(function(e){return r.graph.nodes[e]}));var o=this.calculateOutputs(a);this.checkOutput(this.compiledMap.get(n.join(this.SEPERATOR)),o);var s={};return tidy(function(){for(var t=new ExecutionContext(r._weightMap,s),a=__assign({},r.weightMap,e),i=r.getFrozenTensorIds(a),p={},m=r.compiledMap.get(n.join(r.SEPERATOR)),u=0;u<m.length;u++){var l=m[u];if(a[l.name]||(a[l.name]=executeOp$15(l,a,t),r.checkTensorForDisposal(l.name,l,a,t,i,p)),o.every(function(e){return!!a[e]}))break}return r.findOutputs(a,t,o)})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,o){\"control\"!==t.category&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if(\"control\"!==e.category){var t=getTensorsForCurrentContenxt(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p,m=this;return __generator(this,function(u){switch(u.label){case 0:return this.checkInput(e,!1),this.checkInputShapeAndType(e,!1),a={},r=new ExecutionContext(this._weightMap,a),[4,this.executeWithControlFlow(e,r)];case 1:return n=u.sent(),o=this.findOutputs(n,r,t),s=Object.keys(o).map(function(e){return o[e].id}),i=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})}),p=[].concat.apply([],i),Object.keys(n).forEach(function(e){n[e].forEach(function(e){e&&-1===s.indexOf(e.id)&&-1===p.indexOf(e.id)&&-1===m.weightIds.indexOf(e.id)&&e.dispose()})}),[2,o]}})})},e.prototype.executeWithControlFlow=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p,m,u=this;return __generator(this,function(l){switch(l.label){case 0:a=Object.keys(e),r=a.map(function(e){return u.graph.nodes[e]}),n=r.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),o=__assign({},this.weightMap,e),s={},i=this.getFrozenTensorIds(o),p={},l.label=1;case 1:return n.length>0?(m=this.processStack(r,n,t,o,p,i,s),[4,Promise.all(m)]):[3,3];case 2:return l.sent(),[3,1];case 3:return[2,o]}})})},e.prototype.processStack=function(e,t,a,r,n,o,s){for(var i=this,p=[],m=function(){var m=t.pop();a.currentContext=m.contexts;var l=\"\";if(\"enter\"===m.node.op&&getParamValue(\"isConstant\",m.node,r,a)&&(l=getNodeNameAndIndex(m.node.name,a)[0]),-1===e.indexOf(m.node)){var d=executeOp$15(m.node,r,a);l||(l=getNodeNameAndIndex(m.node.name,a)[0]);var c=a.currentContext;d instanceof Promise?p.push(d.then(function(e){return r[l]=e,a.currentContext=c,i.checkTensorForDisposal(l,m.node,r,a,o,s),i.processChildNodes(m.node,t,a,r,n),e})):(r[l]=d,u.checkTensorForDisposal(l,m.node,r,a,o,s),u.processChildNodes(m.node,t,a,r,n))}else u.processChildNodes(m.node,t,a,r,n)},u=this;t.length>0;)m();return p},e.prototype.processChildNodes=function(e,t,a,r,n){e.children.forEach(function(e){var o=getNodeNameAndIndex(e.name,a)[0];n[o]||(\"merge\"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.calculateOutputs=function(e){return!e||e instanceof Array||(e=[e]),e||this.graph.outputs.map(function(e){return e.name})},e.prototype.findOutputs=function(e,t,a){return this.calculateOutputs(a).reduce(function(a,r){return a[r]=getTensor(r,e,t),a},{})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e,t){void 0===t&&(t=!0),this.placeholders.forEach(function(a){var r=e[a.name];if(t||r){var n=r[0];if(a.params.shape&&a.params.shape.value){var o=a.params.shape.value,s=o.length===n.shape.length&&n.shape.every(function(e,t){return-1===o[t]||o[t]===e});util.assert(s,\"The shape of dict['\"+a.name+\"'] provided in model.execute(dict) must be [\"+o+\"], but was [\"+n.shape+\"]\")}a.params.dtype&&a.params.dtype.value&&util.assert(n.dtype===a.params.dtype.value,\"The dtype of dict['\"+a.name+\"'] provided in model.execute(dict) must be \"+a.params.dtype.value+\", but was \"+n.dtype)}})},e.prototype.checkInput=function(e,t){var a=this;void 0===t&&(t=!0);var r=Object.keys(e),n=[],o=[];this.inputNodes.forEach(function(e){-1===r.indexOf(e)&&n.push(e)}),r.forEach(function(e){-1===a.inputNodes.indexOf(e)&&o.push(e)});var s=o.filter(function(e){return!a.graph.nodes[e]});if(n.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has the keys [\"+r+\"], but is missing the required keys: [\"+n+\"].\");if(o.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has unused keys: [\"+o+\"]. Please provide only the following keys: [\"+this.inputNodes+\"].\");if(s.length>0)throw new Error(\"The dict provided in model.execute(dict) has keys: [\"+s+\"] not part of model graph.\")},e.prototype.checkOutput=function(e,t){var a=e.map(function(e){return e.name}),r=[];if(t.forEach(function(e){-1===a.indexOf(e)&&r.push(e)}),r.length>0)throw new Error(\"The following outputs are not be generated by the execution: [\"+r+\"].\")},e}(),FrozenModel=function(){function e(e,t,a){this.modelUrl=e,this.weightManifestUrl=t,this.requestOption=a,this.version=\"n/a\"}return Object.defineProperty(e.prototype,\"modelVersion\",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"weights\",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=[this.modelUrl,this.weightManifestUrl];if(this.requestOption)this.handler=io.browserHTTPRequest(e,this.requestOption);else{var t=io.getLoadHandlers(e);if(0===t.length)t.push(io.browserHTTPRequest(e,this.requestOption));else if(t.length>1)throw new Error(\"Found more than one (\"+t.length+\") load handlers for URL '\"+[e]+\"'\");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,a;return __generator(this,function(r){switch(r.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,this.handler.load()];case 1:return e=r.sent(),t=compiled_api_1.GraphDef.decode(new Uint8Array(e.modelTopology)),this.version=t.versions.producer+\".\"+t.versions.minConsumer,a=io.decodeWeights(e.weightData,e.weightSpecs),this.executor=new GraphExecutor(OperationMapper.Instance.transformGraph(t)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),[2,!0]}})})},e.prototype.predict=function(e,t){return this.execute_(e,!0,this.outputNodes)},e.prototype.constructTensorMap=function(e){var t=e instanceof Tensor?[e]:e;if(t.length!==this.inputNodes.length)throw new Error(\"Input tensor count mismatch,the frozen model has \"+this.inputNodes.length+\" placeholders, while there are \"+t.length+\" input tensors.\");return this.inputNodes.reduce(function(e,a,r){return e[a]=t[r],e},{})},e.prototype.execute=function(e,t){return this.execute_(e,!1,t)},e.prototype.execute_=function(e,t,a){if(void 0===t&&(t=!0),a=a||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),this.executor.isControlFlowModel||this.executor.isDynamicShapeModel)throw new Error(\"The model contains control flow or dynamic shape ops, please use executeAsync method\");var r=this.executor.execute(this.convertTensorMapToTensorsMap(e),t,a),n=Object.keys(r);return Array.isArray(a)&&a.length>1?a.map(function(e){return r[e]}):r[n[0]]},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r;return __generator(this,function(n){switch(n.label){case 0:if(!this.executor.isControlFlowModel&&!this.executor.isDynamicShapeModel)throw new Error(\"The model does not contain control flow or dynamic shape ops, please use execute method for better performance.\");return t=t||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),[4,this.executor.executeAsync(this.convertTensorMapToTensorsMap(e),t)];case 1:return a=n.sent(),r=Object.keys(a),[2,Array.isArray(t)&&t.length>1?t.map(function(e){return a[e]}):a[r[0]]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function loadFrozenModel(e,t,a){return __awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(n){switch(n.label){case 0:return[4,(r=new FrozenModel(e,t,a)).load()];case 1:return n.sent(),[2,r]}})})}var version=\"0.6.7\";export{FrozenModel,loadFrozenModel,version as version_converter};\n//# sourceMappingURL=tf-converter.esm.js.map\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{concat,slice,stack,tensor,tidy,unstack,util,io,Tensor,add,addN,mod,mul,div,floorDiv,sub,minimum,maximum,pow,squaredDifference,abs,acos,acosh,asin,asinh,atan,atanh,ceil,cos,cosh,elu,erf,exp,expm1,floor,log,log1p,neg,reciprocal,relu,round,selu,sigmoid,sin,sign,sinh,softplus,sqrt,square,tanh,tan,clipByValue,scalar,conv1d,conv2d,conv2dTranspose,depthwiseConv2d,avgPool,maxPool,fill,linspace,oneHot,ones,onesLike,randomUniform,range,truncatedNormal,zeros,zerosLike,image,whereAsync,topk,tensor1d,equal,notEqual,greater,greaterEqual,less,lessEqual,logicalAnd,logicalNot,logicalOr,where,matMul,transpose,batchNormalization,localResponseNormalization,softmax,max,mean,min,sum,all,any,argMax,argMin,gather,reverse,stridedSlice,tile,split,cast,expandDims,squeeze,reshape,pad,spaceToBatchND,batchToSpaceND}from\"@tensorflow/tfjs-core\";var __assign=Object.assign||function(e){for(var t,a=1,r=arguments.length;a<r;a++)for(var n in t=arguments[a])Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e};function __awaiter(e,t,a,r){return new(a||(a=Promise))(function(n,o){function s(e){try{p(r.next(e))}catch(e){o(e)}}function i(e){try{p(r.throw(e))}catch(e){o(e)}}function p(e){e.done?n(e.value):new a(function(t){t(e.value)}).then(s,i)}p((r=r.apply(e,t||[])).next())})}function __generator(e,t){var a,r,n,o,s={label:0,sent:function(){if(1&n[0])throw n[1];return n[1]},trys:[],ops:[]};return o={next:i(0),throw:i(1),return:i(2)},\"function\"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function i(o){return function(i){return function(o){if(a)throw new TypeError(\"Generator is already executing.\");for(;s;)try{if(a=1,r&&(n=r[2&o[0]?\"return\":o[0]?\"throw\":\"next\"])&&!(n=n.call(r,o[1])).done)return n;switch(r=0,n&&(o=[0,n.value]),o[0]){case 0:case 1:n=o;break;case 4:return s.label++,{value:o[1],done:!1};case 5:s.label++,r=o[1],o=[0];continue;case 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a=0;a<e.length;++a)e[a]!==t&&delete this[e[a]]}},a.toJSONOptions={longs:String,enums:String,bytes:String,json:!0},a._configure=function(){var e=a.Buffer;e?(a._Buffer_from=e.from!==Uint8Array.from&&e.from||function(t,a){return new e(t,a)},a._Buffer_allocUnsafe=e.allocUnsafe||function(t){return new e(t)}):a._Buffer_from=a._Buffer_allocUnsafe=null}}),writer=Writer,BufferWriter,LongBits$1=minimal.LongBits,base64=minimal.base64,utf8=minimal.utf8;function Op(e,t,a){this.fn=e,this.len=t,this.next=void 0,this.val=a}function noop(){}function State(e){this.head=e.head,this.tail=e.tail,this.len=e.len,this.next=e.states}function Writer(){this.len=0,this.head=new Op(noop,0,0),this.tail=this.head,this.states=null}function writeByte(e,t,a){t[a]=255&e}function writeVarint32(e,t,a){for(;e>127;)t[a++]=127&e|128,e>>>=7;t[a]=e}function VarintOp(e,t){this.len=e,this.next=void 0,this.val=t}function writeVarint64(e,t,a){for(;e.hi;)t[a++]=127&e.lo|128,e.lo=(e.lo>>>7|e.hi<<25)>>>0,e.hi>>>=7;for(;e.lo>127;)t[a++]=127&e.lo|128,e.lo=e.lo>>>7;t[a++]=e.lo}function writeFixed32(e,t,a){t[a]=255&e,t[a+1]=e>>>8&255,t[a+2]=e>>>16&255,t[a+3]=e>>>24}Writer.create=minimal.Buffer?function(){return(Writer.create=function(){return new BufferWriter})()}:function(){return new Writer},Writer.alloc=function(e){return new minimal.Array(e)},minimal.Array!==Array&&(Writer.alloc=minimal.pool(Writer.alloc,minimal.Array.prototype.subarray)),Writer.prototype._push=function(e,t,a){return this.tail=this.tail.next=new Op(e,t,a),this.len+=t,this},VarintOp.prototype=Object.create(Op.prototype),VarintOp.prototype.fn=writeVarint32,Writer.prototype.uint32=function(e){return this.len+=(this.tail=this.tail.next=new VarintOp((e>>>=0)<128?1:e<16384?2:e<2097152?3:e<268435456?4:5,e)).len,this},Writer.prototype.int32=function(e){return e<0?this._push(writeVarint64,10,LongBits$1.fromNumber(e)):this.uint32(e)},Writer.prototype.sint32=function(e){return this.uint32((e<<1^e>>31)>>>0)},Writer.prototype.uint64=function(e){var t=LongBits$1.from(e);return this._push(writeVarint64,t.length(),t)},Writer.prototype.int64=Writer.prototype.uint64,Writer.prototype.sint64=function(e){var t=LongBits$1.from(e).zzEncode();return this._push(writeVarint64,t.length(),t)},Writer.prototype.bool=function(e){return this._push(writeByte,1,e?1:0)},Writer.prototype.fixed32=function(e){return this._push(writeFixed32,4,e>>>0)},Writer.prototype.sfixed32=Writer.prototype.fixed32,Writer.prototype.fixed64=function(e){var t=LongBits$1.from(e);return this._push(writeFixed32,4,t.lo)._push(writeFixed32,4,t.hi)},Writer.prototype.sfixed64=Writer.prototype.fixed64,Writer.prototype.float=function(e){return this._push(minimal.float.writeFloatLE,4,e)},Writer.prototype.double=function(e){return this._push(minimal.float.writeDoubleLE,8,e)};var writeBytes=minimal.Array.prototype.set?function(e,t,a){t.set(e,a)}:function(e,t,a){for(var r=0;r<e.length;++r)t[a+r]=e[r]};Writer.prototype.bytes=function(e){var t=e.length>>>0;if(!t)return this._push(writeByte,1,0);if(minimal.isString(e)){var a=Writer.alloc(t=base64.length(e));base64.decode(e,a,0),e=a}return this.uint32(t)._push(writeBytes,t,e)},Writer.prototype.string=function(e){var t=utf8.length(e);return t?this.uint32(t)._push(utf8.write,t,e):this._push(writeByte,1,0)},Writer.prototype.fork=function(){return this.states=new State(this),this.head=this.tail=new Op(noop,0,0),this.len=0,this},Writer.prototype.reset=function(){return this.states?(this.head=this.states.head,this.tail=this.states.tail,this.len=this.states.len,this.states=this.states.next):(this.head=this.tail=new Op(noop,0,0),this.len=0),this},Writer.prototype.ldelim=function(){var e=this.head,t=this.tail,a=this.len;return 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this.uint32(t),t&&this._push(writeBytesBuffer,t,e),this},BufferWriter$1.prototype.string=function(e){var t=Buffer.byteLength(e);return this.uint32(t),t&&this._push(writeStringBuffer,t,e),this};var reader=Reader,BufferReader,LongBits$2=minimal.LongBits,utf8$1=minimal.utf8;function indexOutOfRange(e,t){return RangeError(\"index out of range: \"+e.pos+\" + \"+(t||1)+\" > \"+e.len)}function Reader(e){this.buf=e,this.pos=0,this.len=e.length}var create_array=\"undefined\"!=typeof Uint8Array?function(e){if(e instanceof Uint8Array||Array.isArray(e))return new Reader(e);throw Error(\"illegal buffer\")}:function(e){if(Array.isArray(e))return new Reader(e);throw Error(\"illegal buffer\")};function readLongVarint(){var e=new LongBits$2(0,0),t=0;if(!(this.len-this.pos>4)){for(;t<3;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e}return e.lo=(e.lo|(127&this.buf[this.pos++])<<7*t)>>>0,e}for(;t<4;++t)if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e;if(e.lo=(e.lo|(127&this.buf[this.pos])<<28)>>>0,e.hi=(e.hi|(127&this.buf[this.pos])>>4)>>>0,this.buf[this.pos++]<128)return e;if(t=0,this.len-this.pos>4){for(;t<5;++t)if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}else for(;t<5;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}throw Error(\"invalid varint encoding\")}function readFixed32_end(e,t){return(e[t-4]|e[t-3]<<8|e[t-2]<<16|e[t-1]<<24)>>>0}function readFixed64(){if(this.pos+8>this.len)throw indexOutOfRange(this,8);return new LongBits$2(readFixed32_end(this.buf,this.pos+=4),readFixed32_end(this.buf,this.pos+=4))}Reader.create=minimal.Buffer?function(e){return(Reader.create=function(e){return minimal.Buffer.isBuffer(e)?new BufferReader(e):create_array(e)})(e)}:create_array,Reader.prototype._slice=minimal.Array.prototype.subarray||minimal.Array.prototype.slice,Reader.prototype.uint32=function(){var e=4294967295;return function(){if(e=(127&this.buf[this.pos])>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<7)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<14)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<21)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(15&this.buf[this.pos])<<28)>>>0,this.buf[this.pos++]<128)return e;if((this.pos+=5)>this.len)throw this.pos=this.len,indexOutOfRange(this,10);return e}}(),Reader.prototype.int32=function(){return 0|this.uint32()},Reader.prototype.sint32=function(){var e=this.uint32();return e>>>1^-(1&e)|0},Reader.prototype.bool=function(){return 0!==this.uint32()},Reader.prototype.fixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.sfixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return 0|readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.float=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readFloatLE(this.buf,this.pos);return this.pos+=4,e},Reader.prototype.double=function(){if(this.pos+8>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readDoubleLE(this.buf,this.pos);return this.pos+=8,e},Reader.prototype.bytes=function(){var e=this.uint32(),t=this.pos,a=this.pos+e;if(a>this.len)throw indexOutOfRange(this,e);return this.pos+=e,Array.isArray(this.buf)?this.buf.slice(t,a):t===a?new this.buf.constructor(0):this._slice.call(this.buf,t,a)},Reader.prototype.string=function(){var e=this.bytes();return utf8$1.read(e,0,e.length)},Reader.prototype.skip=function(e){if(\"number\"==typeof e){if(this.pos+e>this.len)throw indexOutOfRange(this,e);this.pos+=e}else do{if(this.pos>=this.len)throw indexOutOfRange(this)}while(128&this.buf[this.pos++]);return this},Reader.prototype.skipType=function(e){switch(e){case 0:this.skip();break;case 1:this.skip(8);break;case 2:this.skip(this.uint32());break;case 3:for(;;){if(4==(e=7&this.uint32()))break;this.skipType(e)}break;case 5:this.skip(4);break;default:throw Error(\"invalid wire type \"+e+\" at offset \"+this.pos)}return this},Reader._configure=function(e){BufferReader=e;var t=minimal.Long?\"toLong\":\"toNumber\";minimal.merge(Reader.prototype,{int64:function(){return readLongVarint.call(this)[t](!1)},uint64:function(){return readLongVarint.call(this)[t](!0)},sint64:function(){return readLongVarint.call(this).zzDecode()[t](!1)},fixed64:function(){return readFixed64.call(this)[t](!0)},sfixed64:function(){return readFixed64.call(this)[t](!1)}})};var reader_buffer=BufferReader$1;function 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instanceof r))try{a=r[s.responseDelimited?\"decodeDelimited\":\"decode\"](a)}catch(e){return s.emit(\"error\",e,t),o(e)}return s.emit(\"data\",a,t),o(null,a)}s.end(!0)})}catch(e){return s.emit(\"error\",e,t),void setTimeout(function(){o(e)},0)}else setTimeout(function(){o(Error(\"already ended\"))},0)},Service.prototype.end=function(e){return this.rpcImpl&&(e||this.rpcImpl(null,null,null),this.rpcImpl=null,this.emit(\"end\").off()),this};var rpc_1=createCommonjsModule(function(e,t){t.Service=service}),roots={},indexMinimal=createCommonjsModule(function(e,t){var a=t;function r(){a.Reader._configure(a.BufferReader),a.util._configure()}a.build=\"minimal\",a.Writer=writer,a.BufferWriter=writer_buffer,a.Reader=reader,a.BufferReader=reader_buffer,a.util=minimal,a.rpc=rpc_1,a.roots=roots,a.configure=r,a.Writer._configure(a.BufferWriter),r()}),minimal$1=indexMinimal,minimal_1=minimal$1.roots,minimal_2=minimal$1.Reader,minimal_3=minimal$1.util,$Reader=minimal$1.Reader,$util=minimal$1.util,$root=minimal$1.roots.default||(minimal$1.roots.default={});$root.tensorflow=function(){var e,t,a={};return a.Any=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.typeUrl=\"\",e.prototype.value=$util.newBuffer([]),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Any;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.typeUrl=e.string();break;case 2:r.value=e.bytes();break;default:e.skipType(7&n)}}return r},e}(),a.DataType=(e={},(t=Object.create(e))[e[0]=\"DT_INVALID\"]=0,t[e[1]=\"DT_FLOAT\"]=1,t[e[2]=\"DT_DOUBLE\"]=2,t[e[3]=\"DT_INT32\"]=3,t[e[4]=\"DT_UINT8\"]=4,t[e[5]=\"DT_INT16\"]=5,t[e[6]=\"DT_INT8\"]=6,t[e[7]=\"DT_STRING\"]=7,t[e[8]=\"DT_COMPLEX64\"]=8,t[e[9]=\"DT_INT64\"]=9,t[e[10]=\"DT_BOOL\"]=10,t[e[11]=\"DT_QINT8\"]=11,t[e[12]=\"DT_QUINT8\"]=12,t[e[13]=\"DT_QINT32\"]=13,t[e[14]=\"DT_BFLOAT16\"]=14,t[e[101]=\"DT_FLOAT_REF\"]=101,t[e[102]=\"DT_DOUBLE_REF\"]=102,t[e[103]=\"DT_INT32_REF\"]=103,t[e[104]=\"DT_UINT8_REF\"]=104,t[e[105]=\"DT_INT16_REF\"]=105,t[e[106]=\"DT_INT8_REF\"]=106,t[e[107]=\"DT_STRING_REF\"]=107,t[e[108]=\"DT_COMPLEX64_REF\"]=108,t[e[109]=\"DT_INT64_REF\"]=109,t[e[110]=\"DT_BOOL_REF\"]=110,t[e[111]=\"DT_QINT8_REF\"]=111,t[e[112]=\"DT_QUINT8_REF\"]=112,t[e[113]=\"DT_QINT32_REF\"]=113,t[e[114]=\"DT_BFLOAT16_REF\"]=114,t),a.TensorShape=function(){function e(e){if(this.dim=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.dim=$util.emptyArray,e.prototype.unknownRank=!1,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape;e.pos<a;){var n=e.uint32();switch(n>>>3){case 2:r.dim&&r.dim.length||(r.dim=[]),r.dim.push($root.tensorflow.TensorShape.Dim.decode(e,e.uint32()));break;case 3:r.unknownRank=e.bool();break;default:e.skipType(7&n)}}return r},e.Dim=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.size=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.name=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape.Dim;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.size=e.int64();break;case 2:r.name=e.string();break;default:e.skipType(7&n)}}return r},e}(),e}(),a.Tensor=function(){function e(e){if(this.floatVal=[],this.doubleVal=[],this.intVal=[],this.stringVal=[],this.scomplexVal=[],this.int64Val=[],this.boolVal=[],this.uint32Val=[],this.uint64Val=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.dtype=0,e.prototype.tensorShape=null,e.prototype.versionNumber=0,e.prototype.tensorContent=$util.newBuffer([]),e.prototype.floatVal=$util.emptyArray,e.prototype.doubleVal=$util.emptyArray,e.prototype.intVal=$util.emptyArray,e.prototype.stringVal=$util.emptyArray,e.prototype.scomplexVal=$util.emptyArray,e.prototype.int64Val=$util.emptyArray,e.prototype.boolVal=$util.emptyArray,e.prototype.uint32Val=$util.emptyArray,e.prototype.uint64Val=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Tensor;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.dtype=e.int32();break;case 2:r.tensorShape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 3:r.versionNumber=e.int32();break;case 4:r.tensorContent=e.bytes();break;case 5:if(r.floatVal&&r.floatVal.length||(r.floatVal=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.floatVal.push(e.float());else r.floatVal.push(e.float());break;case 6:if(r.doubleVal&&r.doubleVal.length||(r.doubleVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.doubleVal.push(e.double());else r.doubleVal.push(e.double());break;case 7:if(r.intVal&&r.intVal.length||(r.intVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.intVal.push(e.int32());else r.intVal.push(e.int32());break;case 8:r.stringVal&&r.stringVal.length||(r.stringVal=[]),r.stringVal.push(e.bytes());break;case 9:if(r.scomplexVal&&r.scomplexVal.length||(r.scomplexVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.scomplexVal.push(e.float());else r.scomplexVal.push(e.float());break;case 10:if(r.int64Val&&r.int64Val.length||(r.int64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.int64Val.push(e.int64());else r.int64Val.push(e.int64());break;case 11:if(r.boolVal&&r.boolVal.length||(r.boolVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.boolVal.push(e.bool());else r.boolVal.push(e.bool());break;case 16:if(r.uint32Val&&r.uint32Val.length||(r.uint32Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint32Val.push(e.uint32());else r.uint32Val.push(e.uint32());break;case 17:if(r.uint64Val&&r.uint64Val.length||(r.uint64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint64Val.push(e.uint64());else r.uint64Val.push(e.uint64());break;default:e.skipType(7&n)}}return r},e}(),a.AttrValue=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return e.prototype.list=null,e.prototype.s=$util.newBuffer([]),e.prototype.i=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.f=0,e.prototype.b=!1,e.prototype.type=0,e.prototype.shape=null,e.prototype.tensor=null,e.prototype.placeholder=\"\",e.prototype.func=null,Object.defineProperty(e.prototype,\"value\",{get:$util.oneOfGetter(t=[\"list\",\"s\",\"i\",\"f\",\"b\",\"type\",\"shape\",\"tensor\",\"placeholder\",\"func\"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.list=$root.tensorflow.AttrValue.ListValue.decode(e,e.uint32());break;case 2:r.s=e.bytes();break;case 3:r.i=e.int64();break;case 4:r.f=e.float();break;case 5:r.b=e.bool();break;case 6:r.type=e.int32();break;case 7:r.shape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 8:r.tensor=$root.tensorflow.Tensor.decode(e,e.uint32());break;case 9:r.placeholder=e.string();break;case 10:r.func=$root.tensorflow.NameAttrList.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.ListValue=function(){function e(e){if(this.s=[],this.i=[],this.f=[],this.b=[],this.type=[],this.shape=[],this.tensor=[],this.func=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.s=$util.emptyArray,e.prototype.i=$util.emptyArray,e.prototype.f=$util.emptyArray,e.prototype.b=$util.emptyArray,e.prototype.type=$util.emptyArray,e.prototype.shape=$util.emptyArray,e.prototype.tensor=$util.emptyArray,e.prototype.func=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue.ListValue;e.pos<a;){var n=e.uint32();switch(n>>>3){case 2:r.s&&r.s.length||(r.s=[]),r.s.push(e.bytes());break;case 3:if(r.i&&r.i.length||(r.i=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.i.push(e.int64());else r.i.push(e.int64());break;case 4:if(r.f&&r.f.length||(r.f=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.f.push(e.float());else r.f.push(e.float());break;case 5:if(r.b&&r.b.length||(r.b=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.b.push(e.bool());else r.b.push(e.bool());break;case 6:if(r.type&&r.type.length||(r.type=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.type.push(e.int32());else r.type.push(e.int32());break;case 7:r.shape&&r.shape.length||(r.shape=[]),r.shape.push($root.tensorflow.TensorShape.decode(e,e.uint32()));break;case 8:r.tensor&&r.tensor.length||(r.tensor=[]),r.tensor.push($root.tensorflow.Tensor.decode(e,e.uint32()));break;case 9:r.func&&r.func.length||(r.func=[]),r.func.push($root.tensorflow.NameAttrList.decode(e,e.uint32()));break;default:e.skipType(7&n)}}return r},e}(),e}(),a.NameAttrList=function(){function e(e){if(this.attr={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.NameAttrList;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:n.name=e.string();break;case 2:e.skip().pos++,n.attr===$util.emptyObject&&(n.attr={}),a=e.string(),e.pos++,n.attr[a]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&o)}}return n},e}(),a.NodeDef=function(){function e(e){if(this.input=[],this.attr={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.op=\"\",e.prototype.input=$util.emptyArray,e.prototype.device=\"\",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.NodeDef;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:n.name=e.string();break;case 2:n.op=e.string();break;case 3:n.input&&n.input.length||(n.input=[]),n.input.push(e.string());break;case 4:n.device=e.string();break;case 5:e.skip().pos++,n.attr===$util.emptyObject&&(n.attr={}),a=e.string(),e.pos++,n.attr[a]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&o)}}return n},e}(),a.VersionDef=function(){function e(e){if(this.badConsumers=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.producer=0,e.prototype.minConsumer=0,e.prototype.badConsumers=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.VersionDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.producer=e.int32();break;case 2:r.minConsumer=e.int32();break;case 3:if(r.badConsumers&&r.badConsumers.length||(r.badConsumers=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.badConsumers.push(e.int32());else r.badConsumers.push(e.int32());break;default:e.skipType(7&n)}}return r},e}(),a.GraphDef=function(){function e(e){if(this.node=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.node=$util.emptyArray,e.prototype.versions=null,e.prototype.library=null,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.GraphDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push($root.tensorflow.NodeDef.decode(e,e.uint32()));break;case 4:r.versions=$root.tensorflow.VersionDef.decode(e,e.uint32());break;case 2:r.library=$root.tensorflow.FunctionDefLibrary.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e}(),a.CollectionDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return e.prototype.nodeList=null,e.prototype.bytesList=null,e.prototype.int64List=null,e.prototype.floatList=null,e.prototype.anyList=null,Object.defineProperty(e.prototype,\"kind\",{get:$util.oneOfGetter(t=[\"nodeList\",\"bytesList\",\"int64List\",\"floatList\",\"anyList\"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.nodeList=$root.tensorflow.CollectionDef.NodeList.decode(e,e.uint32());break;case 2:r.bytesList=$root.tensorflow.CollectionDef.BytesList.decode(e,e.uint32());break;case 3:r.int64List=$root.tensorflow.CollectionDef.Int64List.decode(e,e.uint32());break;case 4:r.floatList=$root.tensorflow.CollectionDef.FloatList.decode(e,e.uint32());break;case 5:r.anyList=$root.tensorflow.CollectionDef.AnyList.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.NodeList=function(){function e(e){if(this.value=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.value=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef.NodeList;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.value&&r.value.length||(r.value=[]),r.value.push(e.string());break;default:e.skipType(7&n)}}return r},e}(),e.BytesList=function(){function e(e){if(this.value=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.value=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef.BytesList;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.value&&r.value.length||(r.value=[]),r.value.push(e.bytes());break;default:e.skipType(7&n)}}return r},e}(),e.Int64List=function(){function e(e){if(this.value=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.value=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef.Int64List;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:if(r.value&&r.value.length||(r.value=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.value.push(e.int64());else r.value.push(e.int64());break;default:e.skipType(7&n)}}return r},e}(),e.FloatList=function(){function e(e){if(this.value=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.value=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef.FloatList;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:if(r.value&&r.value.length||(r.value=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.value.push(e.float());else r.value.push(e.float());break;default:e.skipType(7&n)}}return r},e}(),e.AnyList=function(){function e(e){if(this.value=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.value=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef.AnyList;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.value&&r.value.length||(r.value=[]),r.value.push($root.tensorflow.Any.decode(e,e.uint32()));break;default:e.skipType(7&n)}}return r},e}(),e}(),a.SaverDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t,a;return e.prototype.filenameTensorName=\"\",e.prototype.saveTensorName=\"\",e.prototype.restoreOpName=\"\",e.prototype.maxToKeep=0,e.prototype.sharded=!1,e.prototype.keepCheckpointEveryNHours=0,e.prototype.version=0,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.SaverDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.filenameTensorName=e.string();break;case 2:r.saveTensorName=e.string();break;case 3:r.restoreOpName=e.string();break;case 4:r.maxToKeep=e.int32();break;case 5:r.sharded=e.bool();break;case 6:r.keepCheckpointEveryNHours=e.float();break;case 7:r.version=e.int32();break;default:e.skipType(7&n)}}return r},e.CheckpointFormatVersion=(t={},(a=Object.create(t))[t[0]=\"LEGACY\"]=0,a[t[1]=\"V1\"]=1,a[t[2]=\"V2\"]=2,a),e}(),a.TensorInfo=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return e.prototype.name=\"\",e.prototype.cooSparse=null,e.prototype.dtype=0,e.prototype.tensorShape=null,Object.defineProperty(e.prototype,\"encoding\",{get:$util.oneOfGetter(t=[\"name\",\"cooSparse\"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorInfo;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.name=e.string();break;case 4:r.cooSparse=$root.tensorflow.TensorInfo.CooSparse.decode(e,e.uint32());break;case 2:r.dtype=e.int32();break;case 3:r.tensorShape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.CooSparse=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.valuesTensorName=\"\",e.prototype.indicesTensorName=\"\",e.prototype.denseShapeTensorName=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorInfo.CooSparse;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.valuesTensorName=e.string();break;case 2:r.indicesTensorName=e.string();break;case 3:r.denseShapeTensorName=e.string();break;default:e.skipType(7&n)}}return r},e}(),e}(),a.SignatureDef=function(){function e(e){if(this.inputs={},this.outputs={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.inputs=$util.emptyObject,e.prototype.outputs=$util.emptyObject,e.prototype.methodName=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.SignatureDef;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:e.skip().pos++,n.inputs===$util.emptyObject&&(n.inputs={}),a=e.string(),e.pos++,n.inputs[a]=$root.tensorflow.TensorInfo.decode(e,e.uint32());break;case 2:e.skip().pos++,n.outputs===$util.emptyObject&&(n.outputs={}),a=e.string(),e.pos++,n.outputs[a]=$root.tensorflow.TensorInfo.decode(e,e.uint32());break;case 3:n.methodName=e.string();break;default:e.skipType(7&o)}}return n},e}(),a.AssetFileDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.tensorInfo=null,e.prototype.filename=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AssetFileDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.tensorInfo=$root.tensorflow.TensorInfo.decode(e,e.uint32());break;case 2:r.filename=e.string();break;default:e.skipType(7&n)}}return r},e}(),a.OpDef=function(){function e(e){if(this.inputArg=[],this.outputArg=[],this.attr=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.inputArg=$util.emptyArray,e.prototype.outputArg=$util.emptyArray,e.prototype.attr=$util.emptyArray,e.prototype.deprecation=null,e.prototype.summary=\"\",e.prototype.description=\"\",e.prototype.isCommutative=!1,e.prototype.isAggregate=!1,e.prototype.isStateful=!1,e.prototype.allowsUninitializedInput=!1,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.OpDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.name=e.string();break;case 2:r.inputArg&&r.inputArg.length||(r.inputArg=[]),r.inputArg.push($root.tensorflow.OpDef.ArgDef.decode(e,e.uint32()));break;case 3:r.outputArg&&r.outputArg.length||(r.outputArg=[]),r.outputArg.push($root.tensorflow.OpDef.ArgDef.decode(e,e.uint32()));break;case 4:r.attr&&r.attr.length||(r.attr=[]),r.attr.push($root.tensorflow.OpDef.AttrDef.decode(e,e.uint32()));break;case 8:r.deprecation=$root.tensorflow.OpDef.OpDeprecation.decode(e,e.uint32());break;case 5:r.summary=e.string();break;case 6:r.description=e.string();break;case 18:r.isCommutative=e.bool();break;case 16:r.isAggregate=e.bool();break;case 17:r.isStateful=e.bool();break;case 19:r.allowsUninitializedInput=e.bool();break;default:e.skipType(7&n)}}return r},e.ArgDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return 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e(){var e=[arithmetic,basicMath,control,convolution,creation,dynamic,evaluation,logical,image$1,graph,matrices,normalization,reduction,sliceJoin,transformation],t=[].concat.apply([],e.map(function(e){return e.json}));this.opMappers=t.reduce(function(e,t){return e[t.tfOpName]=t,e},{})}return Object.defineProperty(e,\"Instance\",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),e.prototype.isControlFlow=function(e){return CONTROL_FLOW_OPS.some(function(t){return t===e.op})},e.prototype.isDynamicShape=function(e){return DYNAMIC_SHAPE_OPS.some(function(t){return t===e.op})},e.prototype.transformGraph=function(e){var t=this,a=!1,r=!1,n=[],o=[],s=e.node.reduce(function(e,s){return e[s.name]=t.mapNode(s),t.isControlFlow(s)&&(a=!0),t.isDynamicShape(s)&&(r=!0),\"Placeholder\"===s.op&&n.push(e[s.name]),\"Const\"===s.op&&o.push(e[s.name]),e},{}),i=[],p=[];return Object.keys(s).forEach(function(e){var t=s[e];t.inputNames.forEach(function(e){var 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\"+r.type+\" for op: \"+e.op)}return a[r.dlParamName]={value:i,inputIndex:n,type:s,inputParamLength:o},a},{})),r},e.prototype.getStringParam=function(e,t,a,r){void 0===r&&(r=!1);var n=e[t];if(void 0!==n){var o=String.fromCharCode.apply(null,n.s);return r?o:o.toLowerCase()}return a},e.prototype.getBoolParam=function(e,t,a){var r=e[t];return r?r.b:a},e.prototype.getNumberParam=function(e,t,a){var r=e[t],n=r?r[r.value]:a;return\"number\"==typeof n?n:n.toInt()},e.prototype.getDtypeParam=function(e,t,a){var r=e[t];if(r&&r.type)switch(r.type){case compiled_api_1.DataType.DT_FLOAT:return\"float32\";case compiled_api_1.DataType.DT_INT32:return\"int32\";case compiled_api_1.DataType.DT_BOOL:return\"bool\";default:return a}return a},e.prototype.getTensorShapeParam=function(e,t,a){var r=e[t];return r&&r.shape?r.shape.dim.map(function(e){return\"number\"==typeof e.size?e.size:e.size.toInt()}):a},e.prototype.getNumericArrayParam=function(e,t,a){var r=e[t];return r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(e){return\"number\"==typeof e?e:e.toInt()}):a},e}(),executeOp=function(e,t,a){switch(e.op){case\"add\":return[add(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"addN\":return[addN(getParamValue(\"tensors\",e,t,a))];case\"mod\":return[mod(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"mul\":return[mul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"div\":return[div(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"floorDiv\":return[floorDiv(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"sub\":return[sub(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"minimum\":return[minimum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"maximum\":return[maximum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"pow\":return[pow(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"squaredDifference\":return[squaredDifference(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$1=function(e,t,a){switch(e.op){case\"abs\":return[abs(getParamValue(\"x\",e,t,a))];case\"acos\":return[acos(getParamValue(\"x\",e,t,a))];case\"acosh\":return[acosh(getParamValue(\"x\",e,t,a))];case\"asin\":return[asin(getParamValue(\"x\",e,t,a))];case\"asinh\":return[asinh(getParamValue(\"x\",e,t,a))];case\"atan\":return[atan(getParamValue(\"x\",e,t,a))];case\"atanh\":return[atanh(getParamValue(\"x\",e,t,a))];case\"ceil\":return[ceil(getParamValue(\"x\",e,t,a))];case\"cos\":return[cos(getParamValue(\"x\",e,t,a))];case\"cosh\":return[cosh(getParamValue(\"x\",e,t,a))];case\"elu\":return[elu(getParamValue(\"x\",e,t,a))];case\"erf\":return[erf(getParamValue(\"x\",e,t,a))];case\"exp\":return[exp(getParamValue(\"x\",e,t,a))];case\"expm1\":return[expm1(getParamValue(\"x\",e,t,a))];case\"floor\":return[floor(getParamValue(\"x\",e,t,a))];case\"log\":return[log(getParamValue(\"x\",e,t,a))];case\"log1p\":return[log1p(getParamValue(\"x\",e,t,a))];case\"neg\":return[neg(getParamValue(\"x\",e,t,a))];case\"reciprocal\":return[reciprocal(getParamValue(\"x\",e,t,a))];case\"relu\":return[relu(getParamValue(\"x\",e,t,a))];case\"round\":return[round(getParamValue(\"x\",e,t,a))];case\"selu\":return[selu(getParamValue(\"x\",e,t,a))];case\"sigmoid\":return[sigmoid(getParamValue(\"x\",e,t,a))];case\"sin\":return[sin(getParamValue(\"x\",e,t,a))];case\"sign\":return[sign(getParamValue(\"x\",e,t,a))];case\"sinh\":return[sinh(getParamValue(\"x\",e,t,a))];case\"softplus\":return[softplus(getParamValue(\"x\",e,t,a))];case\"sqrt\":return[sqrt(getParamValue(\"x\",e,t,a))];case\"square\":return[square(getParamValue(\"x\",e,t,a))];case\"tanh\":return[tanh(getParamValue(\"x\",e,t,a))];case\"tan\":return[tan(getParamValue(\"x\",e,t,a))];case\"clipByValue\":return[clipByValue(getParamValue(\"x\",e,t,a),getParamValue(\"clipValueMin\",e,t,a),getParamValue(\"clipValueMax\",e,t,a))];case\"rsqrt\":return[div(scalar(1,\"float32\"),sqrt(getTensor(e.inputNames[0],t,a)))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},TensorArray=function(){function e(t,a,r,n,o,s,i){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=o,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,\"closed\",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||e>=this.tensors.length)throw new Error(\"Tried to read from index \"+e+\", but array size is: \"+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error(\"TensorArray \"+this.name+\": Could not read index \"+e+\" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).\");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(\"Tried to write to index \"+e+\", but array is not resizeable and size is: \"+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\",\\n          because the value dtype is \"+t.dtype+\", but TensorArray dtype is \"+this.dtype+\".\");if(0===this.size()&&0===this.elementShape.length&&(this.elementShape=t.shape),this.assertShapesMatch(this.elementShape,t.shape,\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\".\"),a&&a.read)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been read.\");if(a&&a.written)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been written.\");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error(\"TensorArray \"+this.name+\": could not write multiple tensors,because the index size: \"+e.length+\" is not the same as tensors size: \"+t.length+\".\");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but gather requested dtype \"+t);if(!e){e=[];for(var a=0;a<this.size();a++)e.push(a)}if(0===e.length)return tensor([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: \"),stack(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but concat requested dtype \"+e);if(0===this.size())return tensor([],[0].concat(this.elementShape));for(var t=[],a=0;a<this.size();a++)t.push(a);var r=this.readMany(t);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: tensor array shape (\"+this.elementShape+\") vs first tensor shape (\"+r[0].shape+\")\"),concat(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);if(e.length!==t.shape[0])throw new Error(\"Expected len(indices) == tensor.shape[0], but saw: \"+e.length+\" vs. \"+t.shape[0]);var a=Math.max.apply(Math,e);if(!this.dynamicSize&&a>=this.maxSize)throw new Error(\"Max index must be < array size (\"+a+\"  vs. \"+this.maxSize+\")\");this.writeMany(e,unstack(t,0))},e.prototype.split=function(e,t){var a=this;if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);var r=0,n=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error(\"Expected sum of lengths to be equal to\\n          tensor.shape[0], but sum of lengths is\\n        \"+r+\", and tensor's shape is: \"+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(\"TensorArray's size is not equal to the size of lengths (\"+this.maxSize+\" vs. \"+e.length+\"), and the TensorArray is not marked as dynamically resizeable\");var o=0===r?0:t.size/r,s=[];tidy(function(){t=t.reshape([1,r,o]);for(var i=0;i<e.length;++i){var p=[0,0===i?0:n[i-1],0],u=[1,e[i],o];s[i]=slice(t,p,u).reshape(a.elementShape)}return s});for(var i=[],p=0;p<e.length;p++)i[p]=p;this.writeMany(i,s)},e.prototype.assertShapesMatch=function(e,t,a){void 0===a&&(a=\"\"),util.assert(this.arraysEqual(e,t),a+\" Shapes \"+e+\" and \"+t+\" must match\")},e.prototype.arraysEqual=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}();function executeOp$2(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i,p,u,m,l,d,c,f,y,h,g,N,P,b,x,I,v,O,w,V,k,T,$,_,S,A,D,E,j,C,L;return __generator(this,function(R){switch(R.label){case 0:switch(e.op){case\"loopCond\":return[3,1];case\"switch\":return[3,2];case\"merge\":return[3,4];case\"enter\":return[3,5];case\"exit\":return[3,6];case\"nextIteration\":return[3,7];case\"tensorArray\":return[3,8];case\"tensorArrayWrite\":return[3,9];case\"tensorArrayRead\":return[3,10];case\"tensorArrayGather\":return[3,11];case\"tensorArrayScatter\":return[3,12];case\"tensorArrayConcat\":return[3,13];case\"tensorArraySplit\":return[3,14];case\"tensorArraySize\":return[3,15];case\"tensorArrayClose\":return[3,16]}return[3,17];case 1:return[2,[getParamValue(\"pred\",e,t,a)]];case 2:return r=getParamValue(\"pred\",e,t,a),n=getParamValue(\"data\",e,t,a),[4,r.data()];case 3:return[2,R.sent()[0]?[void 0,n]:[n,void 0]];case 4:return[2,(o=e.inputNames.find(function(e){return void 0!==getTensor(e,t,a)}))?[getTensor(o,t,a)]:void 0];case 5:return s=getParamValue(\"frameName\",e,t,a),i=getParamValue(\"tensor\",e,t,a),a.enterFrame(s),[2,[i]];case 6:return p=getParamValue(\"tensor\",e,t,a),a.exitFrame(),[2,[p]];case 7:return u=getParamValue(\"tensor\",e,t,a),a.nextIteration(),[2,[u]];case 8:return m=getParamValue(\"size\",e,t,a),l=getParamValue(\"dtype\",e,t,a),d=getParamValue(\"elementShape\",e,t,a),c=getParamValue(\"dynamicSize\",e,t,a),f=getParamValue(\"clearAfterRead\",e,t,a),y=getParamValue(\"identicalElementShapes\",e,t,a),h=getParamValue(\"name\",e,t,a),g=new TensorArray(h,l,m,d,y,c,f),a.addTensorArray(g),[2,[scalar(g.id),scalar(1)]];case 9:return N=getParamValue(\"tensorArrayId\",e,t,a),P=getParamValue(\"index\",e,t,a),b=getParamValue(\"tensor\",e,t,a),a.getTensorArray(N).write(P,b),[2,[scalar(1)]];case 10:return x=getParamValue(\"tensorArrayId\",e,t,a),I=getParamValue(\"index\",e,t,a),[2,[a.getTensorArray(x).read(I)]];case 11:return v=getParamValue(\"tensorArrayId\",e,t,a),O=getParamValue(\"indices\",e,t,a),w=getParamValue(\"dtype\",e,t,a),[2,[a.getTensorArray(v).gather(O,w)]];case 12:return V=getParamValue(\"tensorArrayId\",e,t,a),k=getParamValue(\"indices\",e,t,a),T=getParamValue(\"tensor\",e,t,a),a.getTensorArray(V).scatter(k,T),[2,[scalar(1)]];case 13:return $=getParamValue(\"tensorArrayId\",e,t,a),_=a.getTensorArray($),S=getParamValue(\"dtype\",e,t,a),[2,[_.concat(S)]];case 14:return A=getParamValue(\"tensorArrayId\",e,t,a),D=getParamValue(\"tensor\",e,t,a),E=getParamValue(\"lengths\",e,t,a),a.getTensorArray(A).split(E,D),[2,[scalar(1)]];case 15:return j=getParamValue(\"tensorArrayId\",e,t,a),C=a.getTensorArray(j),[2,[scalar(C.size(),\"int32\")]];case 16:return L=getParamValue(\"tensorArrayId\",e,t,a),a.getTensorArray(L).clearAndClose(),[2,[]];case 17:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$3=function(e,t,a){switch(e.op){case\"conv1d\":var r=getParamValue(\"stride\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase(),s=getParamValue(\"dilation\",e,t,a);return[conv1d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),r,n,o,s)];case\"conv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();var i=getParamValue(\"dilations\",e,t,a);return[conv2d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"conv2dTranspose\":var p=getParamValue(\"outputShape\",e,t,a);r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);return[conv2dTranspose(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),p,[r[1],r[2]],n)];case\"depthwiseConv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),i=getParamValue(\"dilations\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();return[depthwiseConv2d(getParamValue(\"input\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"avgPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);var u=getParamValue(\"kernelSize\",e,t,a);return[avgPool(getParamValue(\"x\",e,t,a),[u[1],u[2]],[r[1],r[2]],n)];case\"maxPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),u=getParamValue(\"kernelSize\",e,t,a);return[maxPool(getParamValue(\"x\",e,t,a),[u[1],u[2]],[r[1],r[2]],n)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$4=function(e,t,a){switch(e.op){case\"fill\":var r=getParamValue(\"shape\",e,t,a),n=getParamValue(\"dtype\",e,t,a),o=getParamValue(\"value\",e,t,a);return[fill(r,o,n)];case\"linspace\":var s=getParamValue(\"start\",e,t,a),i=getParamValue(\"stop\",e,t,a),p=getParamValue(\"num\",e,t,a);return[linspace(s,i,p)];case\"oneHot\":var u=getParamValue(\"indices\",e,t,a),m=getParamValue(\"depth\",e,t,a),l=getParamValue(\"onValue\",e,t,a),d=getParamValue(\"offValue\",e,t,a);return[oneHot(u,m,l,d)];case\"ones\":return[ones(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"onesLike\":return[onesLike(getParamValue(\"x\",e,t,a))];case\"randomUniform\":return[randomUniform(getParamValue(\"shape\",e,t,a),getParamValue(\"minval\",e,t,a),getParamValue(\"maxval\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"range\":s=getParamValue(\"start\",e,t,a);var c=getParamValue(\"stop\",e,t,a),f=getParamValue(\"step\",e,t,a);return[range(s,c,f,getParamValue(\"dtype\",e,t,a))];case\"truncatedNormal\":r=getParamValue(\"shape\",e,t,a);var y=getParamValue(\"mean\",e,t,a),h=getParamValue(\"stdDev\",e,t,a),g=getParamValue(\"seed\",e,t,a);return[truncatedNormal(r,y,h,getParamValue(\"dtype\",e,t,a),g)];case\"zeros\":return[zeros(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"zerosLike\":return[zerosLike(getParamValue(\"x\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$5(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i;return __generator(this,function(p){switch(p.label){case 0:switch(e.op){case\"nonMaxSuppression\":return[3,1];case\"whereAsync\":return[3,3]}return[3,5];case 1:return r=getParamValue(\"boxes\",e,t,a),n=getParamValue(\"scores\",e,t,a),o=getParamValue(\"maxOutputSize\",e,t,a),s=getParamValue(\"iouThreshold\",e,t,a),i=getParamValue(\"scoreThreshold\",e,t,a),[4,image.nonMaxSuppressionAsync(r,n,o,s,i)];case 2:return[2,[p.sent()]];case 3:return[4,whereAsync(getParamValue(\"condition\",e,t,a))];case 4:return[2,[p.sent()]];case 5:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$6=function(e,t,a){switch(e.op){case\"topK\":var r=getParamValue(\"x\",e,t,a),n=getParamValue(\"k\",e,t,a),o=getParamValue(\"sorted\",e,t,a),s=topk(r,n,o);return[s.values,s.indices];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$7=function(e,t,a){switch(e.op){case\"const\":return t[e.name];case\"placeholder\":var r=getParamValue(\"default\",e,t,a);return[getTensor(e.name,t,a)||r];case\"identity\":case\"stopGradient\":case\"fakeQuantWithMinMaxVars\":return[getParamValue(\"x\",e,t,a)];case\"snapshot\":return[getParamValue(\"x\",e,t,a).clone()];case\"shape\":return[tensor1d(getParamValue(\"x\",e,t,a).shape,\"int32\")];case\"shapeN\":return getParamValue(\"x\",e,t,a).map(function(e){return tensor1d(e.shape)});case\"size\":return[scalar(getParamValue(\"x\",e,t,a).size,\"int32\")];case\"rank\":return[scalar(getParamValue(\"x\",e,t,a).rank,\"int32\")];case\"noop\":return[];case\"print\":var n=getParamValue(\"x\",e,t,a),o=getParamValue(\"data\",e,t,a),s=getParamValue(\"message\",e,t,a),i=getParamValue(\"summarize\",e,t,a);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(s);for(var p=0;p<o.length;p++)console.log(Array.prototype.slice.call(o[0].dataSync()).slice(0,i));return[n];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$8=function(e,t,a){switch(e.op){case\"resizeBilinear\":var r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeBilinear(r,[n[0],n[1]],o)];case\"resizeNearestNeighbor\":r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeNearestNeighbor(r,[n[0],n[1]],o)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$9=function(e,t,a){switch(e.op){case\"equal\":return[equal(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"notEqual\":return[notEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greater\":return[greater(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greaterEqual\":return[greaterEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"less\":return[less(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"lessEqual\":return[lessEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalAnd\":return[logicalAnd(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalNot\":return[logicalNot(getParamValue(\"a\",e,t,a))];case\"logicalOr\":return[logicalOr(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"where\":return[where(getParamValue(\"condition\",e,t,a),getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$10=function(e,t,a){switch(e.op){case\"matMul\":return[matMul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a),getParamValue(\"transposeA\",e,t,a),getParamValue(\"transposeB\",e,t,a))];case\"transpose\":return[transpose(getParamValue(\"x\",e,t,a),getParamValue(\"perm\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$11=function(e,t,a){switch(e.op){case\"batchNormalization\":return[batchNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"mean\",e,t,a),getParamValue(\"variance\",e,t,a),getParamValue(\"epsilon\",e,t,a),getParamValue(\"scale\",e,t,a),getParamValue(\"offset\",e,t,a))];case\"localResponseNormalization\":return[localResponseNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"radius\",e,t,a),getParamValue(\"bias\",e,t,a),getParamValue(\"alpha\",e,t,a),getParamValue(\"beta\",e,t,a))];case\"softmax\":return[softmax(getParamValue(\"x\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$12=function(e,t,a){switch(e.op){case\"max\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[max(getParamValue(\"x\",e,t,a),r,n)];case\"mean\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[mean(getParamValue(\"x\",e,t,a),r,n)];case\"min\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[min(getParamValue(\"x\",e,t,a),r,n)];case\"sum\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[sum(getParamValue(\"x\",e,t,a),r,n)];case\"all\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[all(getParamValue(\"x\",e,t,a),r,n)];case\"any\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[any(getParamValue(\"x\",e,t,a),r,n)];case\"argMax\":r=getParamValue(\"axis\",e,t,a);return[argMax(getParamValue(\"x\",e,t,a),r)];case\"argMin\":r=getParamValue(\"axis\",e,t,a);return[argMin(getParamValue(\"x\",e,t,a),r)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$13=function(e,t,a){switch(e.op){case\"concat\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a);return[concat(n,r)];case\"gather\":r=getParamValue(\"axis\",e,t,a);var o=getParamValue(\"x\",e,t,a),s=getParamValue(\"indices\",e,t,a);return[gather(o,s,r)];case\"reverse\":r=getParamValue(\"axis\",e,t,a),o=getParamValue(\"x\",e,t,a);return[reverse(o,r)];case\"slice\":var i=getParamValue(\"begin\",e,t,a),p=getParamValue(\"size\",e,t,a);return[slice(getParamValue(\"x\",e,t,a),i,p)];case\"stridedSlice\":i=getParamValue(\"begin\",e,t,a);var u=getParamValue(\"end\",e,t,a),m=getParamValue(\"strides\",e,t,a),l=getParamValue(\"beginMask\",e,t,a),d=getParamValue(\"endMask\",e,t,a),c=getParamValue(\"ellipsisMask\",e,t,a),f=getParamValue(\"newAxisMask\",e,t,a),y=getParamValue(\"shrinkAxisMask\",e,t,a),h=getParamValue(\"x\",e,t,a);if(1===i.length&&h.shape.length>1)for(var g=1;g<h.shape.length;g++)i.push(0),u.push(h.shape[g]),m.push(m[0]);return[stridedSlice(h,i,u,m,l,d,c,f,y)];case\"stack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a),o=n[0].shape,s=n[0].squeeze().shape,i=n.map(function(e){var t=util.arraysEqual(e.shape,o);if(!t&&!util.arraysEqual(e.squeeze().shape,s))throw new Error(\"the input tensors shape does not match\");return t?e:e.reshape(o)});return[stack(i,r)]});case\"unstack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensor\",e,t,a);return unstack(n,r)});case\"tile\":var N=getParamValue(\"reps\",e,t,a);return[tile(getParamValue(\"x\",e,t,a),N)];case\"split\":r=getParamValue(\"axis\",e,t,a);var P=getParamValue(\"numOrSizeSplits\",e,t,a);return split(getParamValue(\"x\",e,t,a),P,r);default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$14=function(e,t,a){switch(e.op){case\"cast\":return[cast(getParamValue(\"x\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"expandDims\":var r=getParamValue(\"axis\",e,t,a);return[expandDims(getParamValue(\"x\",e,t,a),r)];case\"squeeze\":r=getParamValue(\"axis\",e,t,a);return[squeeze(getParamValue(\"x\",e,t,a),r)];case\"reshape\":return[reshape(getParamValue(\"x\",e,t,a),getParamValue(\"shape\",e,t,a))];case\"pad\":return[pad(getParamValue(\"x\",e,t,a),split$1(getParamValue(\"padding\",e,t,a),2),getParamValue(\"constantValue\",e,t,a))];case\"spaceToBatchND\":var n=getParamValue(\"blockShape\",e,t,a),o=split$1(getParamValue(\"paddings\",e,t,a),2);return[spaceToBatchND(getParamValue(\"x\",e,t,a),n,o)];case\"batchToSpaceND\":n=getParamValue(\"blockShape\",e,t,a);var s=split$1(getParamValue(\"crops\",e,t,a),2);return[batchToSpaceND(getParamValue(\"x\",e,t,a),n,s)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$15(e,t,a){switch(e.category){case\"arithmetic\":return executeOp(e,t,a);case\"basic_math\":return executeOp$1(e,t,a);case\"control\":return executeOp$2(e,t,a);case\"convolution\":return executeOp$3(e,t,a);case\"creation\":return executeOp$4(e,t,a);case\"dynamic\":return executeOp$5(e,t,a);case\"evaluation\":return executeOp$6(e,t,a);case\"image\":return executeOp$8(e,t,a);case\"graph\":return executeOp$7(e,t,a);case\"logical\":return executeOp$9(e,t,a);case\"matrices\":return executeOp$10(e,t,a);case\"normalization\":return executeOp$11(e,t,a);case\"reduction\":return executeOp$12(e,t,a);case\"slice_join\":return executeOp$13(e,t,a);case\"transformation\":return executeOp$14(e,t,a);default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,\"currentContext\",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextId\",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextIds\",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(\"\"),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?\"\":e.frameName+\"-\"+e.iterationId}).join(\"/\"):\"\"},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error(\"Cannot exit frame, the context is empty\");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error(\"Cannot increase frame iteration, the context is empty\");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}(),GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this.placeholders=e.placeholders,this._outputs=e.outputs,this.compile()}return Object.defineProperty(e.prototype,\"weightMap\",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.placeholders.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.placeholders.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.outputs.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isControlFlowModel\",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isDynamicShapeModel\",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),e.prototype.compile=function(e){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var t=[],a=e||this.graph.placeholders,r=a.map(function(e){return e.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var n=a.concat(this.graph.weights),o={};n.length>0;){var s=n.pop();o[s.name]=!0,t.push(s),s.children.forEach(function(e){!o[e.name]&&e.inputNames.every(function(e){var t=getNodeNameAndIndex(e)[0];return o[t]})&&n.push(e)})}this.compiledMap.set(r,t)}}},e.prototype.execute=function(e,t,a){var r=this;void 0===t&&(t=!0);var n=Object.keys(e).sort();this.checkInput(e,t),this.checkInputShapeAndType(e,t),this.compile(n.map(function(e){return r.graph.nodes[e]}));var o=this.calculateOutputs(a);this.checkOutput(this.compiledMap.get(n.join(this.SEPERATOR)),o);var s={};return tidy(function(){for(var t=new ExecutionContext(r._weightMap,s),a=__assign({},r.weightMap,e),i=r.compiledMap.get(n.join(r.SEPERATOR)),p=0;p<i.length;p++){var u=i[p];if(a[u.name]||(a[u.name]=executeOp$15(u,a,t)),o.every(function(e){return!!a[e]}))break}return r.findOutputs(a,t,o)})},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p,u=this;return __generator(this,function(m){switch(m.label){case 0:return this.checkInput(e,!1),this.checkInputShapeAndType(e,!1),a={},r=new ExecutionContext(this._weightMap,a),[4,this.executeWithControlFlow(e,r)];case 1:return n=m.sent(),o=this.findOutputs(n,r,t),s=Object.keys(o).map(function(e){return o[e].id}),i=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})}),p=[].concat.apply([],i),Object.keys(n).forEach(function(e){n[e].forEach(function(e){e&&-1===s.indexOf(e.id)&&-1===p.indexOf(e.id)&&-1===u.weightIds.indexOf(e.id)&&e.dispose()})}),[2,o]}})})},e.prototype.executeWithControlFlow=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p=this;return __generator(this,function(u){switch(u.label){case 0:a=Object.keys(e),r=a.map(function(e){return p.graph.nodes[e]}),n=r.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),o=__assign({},this.weightMap,e),s={},u.label=1;case 1:return n.length>0?(i=this.processStack(r,n,t,o,s),[4,Promise.all(i)]):[3,3];case 2:return u.sent(),[3,1];case 3:return[2,o]}})})},e.prototype.processStack=function(e,t,a,r,n){for(var o=this,s=[],i=function(){var i=t.pop();a.currentContext=i.contexts;var u=\"\";if(\"enter\"===i.node.op&&getParamValue(\"isConstant\",i.node,r,a)&&(u=getNodeNameAndIndex(i.node.name,a)[0]),-1===e.indexOf(i.node)){var m=executeOp$15(i.node,r,a);u||(u=getNodeNameAndIndex(i.node.name,a)[0]);var l=a.currentContext;m instanceof Promise?s.push(m.then(function(e){return r[u]=e,a.currentContext=l,o.processChildNodes(i.node,t,a,r,n),e})):(r[u]=m,p.processChildNodes(i.node,t,a,r,n))}else p.processChildNodes(i.node,t,a,r,n)},p=this;t.length>0;)i();return s},e.prototype.processChildNodes=function(e,t,a,r,n){e.children.forEach(function(e){var o=getNodeNameAndIndex(e.name,a)[0];n[o]||(\"merge\"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.calculateOutputs=function(e){return!e||e instanceof Array||(e=[e]),e||this.graph.outputs.map(function(e){return e.name})},e.prototype.findOutputs=function(e,t,a){return this.calculateOutputs(a).reduce(function(a,r){return a[r]=getTensor(r,e,t),a},{})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e,t){void 0===t&&(t=!0),this.placeholders.forEach(function(a){var r=e[a.name];if(t||r){var n=r[0];if(a.params.shape&&a.params.shape.value){var o=a.params.shape.value,s=o.length===n.shape.length&&n.shape.every(function(e,t){return-1===o[t]||o[t]===e});util.assert(s,\"The shape of dict['\"+a.name+\"'] provided in model.execute(dict) must be [\"+o+\"], but was [\"+n.shape+\"]\")}a.params.dtype&&a.params.dtype.value&&util.assert(n.dtype===a.params.dtype.value,\"The dtype of dict['\"+a.name+\"'] provided in model.execute(dict) must be \"+a.params.dtype.value+\", but was \"+n.dtype)}})},e.prototype.checkInput=function(e,t){var a=this;void 0===t&&(t=!0);var r=Object.keys(e),n=[],o=[];this.inputNodes.forEach(function(e){-1===r.indexOf(e)&&n.push(e)}),r.forEach(function(e){-1===a.inputNodes.indexOf(e)&&o.push(e)});var s=o.filter(function(e){return!a.graph.nodes[e]});if(n.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has the keys [\"+r+\"], but is missing the required keys: [\"+n+\"].\");if(o.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has unused keys: [\"+o+\"]. Please provide only the following keys: [\"+this.inputNodes+\"].\");if(s.length>0)throw new Error(\"The dict provided in model.execute(dict) has keys: [\"+s+\"] not part of model graph.\")},e.prototype.checkOutput=function(e,t){var a=e.map(function(e){return e.name}),r=[];if(t.forEach(function(e){-1===a.indexOf(e)&&r.push(e)}),r.length>0)throw new Error(\"The following outputs are not be generated by the execution: [\"+r+\"].\")},e}(),FrozenModel=function(){function e(e,t,a){this.modelUrl=e,this.weightManifestUrl=t,this.requestOption=a,this.version=\"n/a\"}return Object.defineProperty(e.prototype,\"modelVersion\",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"weights\",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=[this.modelUrl,this.weightManifestUrl];if(this.requestOption)this.handler=io.browserHTTPRequest(e,this.requestOption);else{var t=io.getLoadHandlers(e);if(0===t.length)t.push(io.browserHTTPRequest(e,this.requestOption));else if(t.length>1)throw new Error(\"Found more than one (\"+t.length+\") load handlers for URL '\"+[e]+\"'\");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,a;return __generator(this,function(r){switch(r.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,this.handler.load()];case 1:return e=r.sent(),t=compiled_api_1.GraphDef.decode(new Uint8Array(e.modelTopology)),this.version=t.versions.producer+\".\"+t.versions.minConsumer,a=io.decodeWeights(e.weightData,e.weightSpecs),this.executor=new GraphExecutor(OperationMapper.Instance.transformGraph(t)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),[2,!0]}})})},e.prototype.predict=function(e,t){return this.execute_(e,!0,this.outputNodes)},e.prototype.constructTensorMap=function(e){var t=e instanceof Tensor?[e]:e;if(t.length!==this.inputNodes.length)throw new Error(\"Input tensor count mismatch,the frozen model has \"+this.inputNodes.length+\" placeholders, while there are \"+t.length+\" input tensors.\");return this.inputNodes.reduce(function(e,a,r){return e[a]=t[r],e},{})},e.prototype.execute=function(e,t){return this.execute_(e,!1,t)},e.prototype.execute_=function(e,t,a){if(void 0===t&&(t=!0),a=a||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),this.executor.isControlFlowModel||this.executor.isDynamicShapeModel)throw new Error(\"The model contains control flow or dynamic shape ops, please use executeAsync method\");var r=this.executor.execute(this.convertTensorMapToTensorsMap(e),t,a),n=Object.keys(r);return Array.isArray(a)&&a.length>1?a.map(function(e){return r[e]}):r[n[0]]},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r;return __generator(this,function(n){switch(n.label){case 0:if(!this.executor.isControlFlowModel&&!this.executor.isDynamicShapeModel)throw new Error(\"The model does not contain control flow or dynamic shape ops, please use execute method for better performance.\");return t=t||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),[4,this.executor.executeAsync(this.convertTensorMapToTensorsMap(e),t)];case 1:return a=n.sent(),r=Object.keys(a),[2,Array.isArray(t)&&t.length>1?t.map(function(e){return a[e]}):a[r[0]]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function loadFrozenModel(e,t,a){return __awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(n){switch(n.label){case 0:return[4,(r=new FrozenModel(e,t,a)).load()];case 1:return n.sent(),[2,r]}})})}var version=\"0.6.0\";export{FrozenModel,loadFrozenModel,version as version_converter};\n//# sourceMappingURL=tf-converter.esm.js.map\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _setPrototypeOf = require(\"../core-js/object/set-prototype-of\");\n\nvar _setPrototypeOf2 = _interopRequireDefault(_setPrototypeOf);\n\nvar _create = require(\"../core-js/object/create\");\n\nvar _create2 = _interopRequireDefault(_create);\n\nvar _typeof2 = require(\"../helpers/typeof\");\n\nvar _typeof3 = _interopRequireDefault(_typeof2);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function (subClass, superClass) {\n  if (typeof superClass !== \"function\" && superClass !== null) {\n    throw new TypeError(\"Super expression must either be null or a function, not \" + (typeof superClass === \"undefined\" ? \"undefined\" : (0, _typeof3.default)(superClass)));\n  }\n\n  subClass.prototype = (0, _create2.default)(superClass && superClass.prototype, {\n    constructor: {\n      value: subClass,\n      enumerable: false,\n      writable: true,\n      configurable: true\n    }\n  });\n  if (superClass) _setPrototypeOf2.default ? (0, _setPrototypeOf2.default)(subClass, superClass) : subClass.__proto__ = superClass;\n};","\"use strict\";\n\nexports.__esModule = true;\n\nvar _typeof2 = require(\"../helpers/typeof\");\n\nvar _typeof3 = _interopRequireDefault(_typeof2);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function (self, call) {\n  if (!self) {\n    throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n  }\n\n  return call && ((typeof call === \"undefined\" ? \"undefined\" : (0, _typeof3.default)(call)) === \"object\" || typeof call === \"function\") ? call : self;\n};","module.exports = { \"default\": require(\"core-js/library/fn/object/get-prototype-of\"), __esModule: true };","\"use strict\";\n\nexports.__esModule = true;\n\nvar _isIterable2 = require(\"../core-js/is-iterable\");\n\nvar _isIterable3 = _interopRequireDefault(_isIterable2);\n\nvar _getIterator2 = require(\"../core-js/get-iterator\");\n\nvar _getIterator3 = _interopRequireDefault(_getIterator2);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function () {\n  function sliceIterator(arr, i) {\n    var _arr = [];\n    var _n = true;\n    var _d = false;\n    var _e = undefined;\n\n    try {\n      for (var _i = (0, _getIterator3.default)(arr), _s; !(_n = (_s = _i.next()).done); _n = true) {\n        _arr.push(_s.value);\n\n        if (i && _arr.length === i) break;\n      }\n    } catch (err) {\n      _d = true;\n      _e = err;\n    } finally {\n      try {\n        if (!_n && _i[\"return\"]) _i[\"return\"]();\n      } finally {\n        if (_d) throw _e;\n      }\n    }\n\n    return _arr;\n  }\n\n  return function (arr, i) {\n    if (Array.isArray(arr)) {\n      return arr;\n    } else if ((0, _isIterable3.default)(Object(arr))) {\n      return sliceIterator(arr, i);\n    } else {\n      throw new TypeError(\"Invalid attempt to destructure non-iterable instance\");\n    }\n  };\n}();","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nImage and Video base class\n*/\n\nclass Video {\n  constructor(video, size) {\n    this.videoElt = null;\n    this.size = size;\n    this.videoReady = false;\n\n    if (video instanceof HTMLVideoElement) {\n      this.videoElt = video;\n    } else if (video !== null && typeof video === 'object' && video.elt instanceof HTMLVideoElement) {\n      // Handle p5.js video element\n      this.videoElt = video.elt;\n    }\n  }\n\n  async loadVideo() {\n    return new Promise((resolve) => {\n      this.video = document.createElement('video');\n      const stream = this.videoElt.captureStream();\n      this.video.srcObject = stream;\n      this.video.width = this.size;\n      this.video.height = this.size;\n      this.video.autoplay = true;\n      this.video.playsinline = true;\n      this.video.muted = true;\n      const playPromise = this.video.play();\n      if (playPromise !== undefined) {\n        playPromise.then(() => {\n          resolve(this.video);\n        });\n      }\n    });\n  }\n}\n\nexport default Video;\n","var global = require('./_global');\nvar core = require('./_core');\nvar LIBRARY = require('./_library');\nvar wksExt = require('./_wks-ext');\nvar defineProperty = require('./_object-dp').f;\nmodule.exports = function (name) {\n  var $Symbol = core.Symbol || (core.Symbol = LIBRARY ? {} : global.Symbol || {});\n  if (name.charAt(0) != '_' && !(name in $Symbol)) defineProperty($Symbol, name, { value: wksExt.f(name) });\n};\n","var META = require('./_uid')('meta');\nvar isObject = require('./_is-object');\nvar has = require('./_has');\nvar setDesc = require('./_object-dp').f;\nvar id = 0;\nvar isExtensible = Object.isExtensible || function () {\n  return true;\n};\nvar FREEZE = !require('./_fails')(function () {\n  return isExtensible(Object.preventExtensions({}));\n});\nvar setMeta = function (it) {\n  setDesc(it, META, { value: {\n    i: 'O' + ++id, // object ID\n    w: {}          // weak collections IDs\n  } });\n};\nvar fastKey = function (it, create) {\n  // return primitive with prefix\n  if (!isObject(it)) return typeof it == 'symbol' ? it : (typeof it == 'string' ? 'S' : 'P') + it;\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return 'F';\n    // not necessary to add metadata\n    if (!create) return 'E';\n    // add missing metadata\n    setMeta(it);\n  // return object ID\n  } return it[META].i;\n};\nvar getWeak = function (it, create) {\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return true;\n    // not necessary to add metadata\n    if (!create) return false;\n    // add missing metadata\n    setMeta(it);\n  // return hash weak collections IDs\n  } return it[META].w;\n};\n// add metadata on freeze-family methods calling\nvar onFreeze = function (it) {\n  if (FREEZE && meta.NEED && isExtensible(it) && !has(it, META)) setMeta(it);\n  return it;\n};\nvar meta = module.exports = {\n  KEY: META,\n  NEED: false,\n  fastKey: fastKey,\n  getWeak: getWeak,\n  onFreeze: onFreeze\n};\n","exports.f = require('./_wks');\n","var hide = require('./_hide');\nmodule.exports = function (target, src, safe) {\n  for (var key in src) {\n    if (safe && target[key]) target[key] = src[key];\n    else hide(target, key, src[key]);\n  } return target;\n};\n","'use strict';\n// 25.4.1.5 NewPromiseCapability(C)\nvar aFunction = require('./_a-function');\n\nfunction PromiseCapability(C) {\n  var resolve, reject;\n  this.promise = new C(function ($$resolve, $$reject) {\n    if (resolve !== undefined || reject !== undefined) throw TypeError('Bad Promise constructor');\n    resolve = $$resolve;\n    reject = $$reject;\n  });\n  this.resolve = aFunction(resolve);\n  this.reject = aFunction(reject);\n}\n\nmodule.exports.f = function (C) {\n  return new PromiseCapability(C);\n};\n","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').getIteratorMethod = function (it) {\n  if (it != undefined) return it[ITERATOR]\n    || it['@@iterator']\n    || Iterators[classof(it)];\n};\n","module.exports = function (it, Constructor, name, forbiddenField) {\n  if (!(it instanceof Constructor) || (forbiddenField !== undefined && forbiddenField in it)) {\n    throw TypeError(name + ': incorrect invocation!');\n  } return it;\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar $iterCreate = require('./_iter-create');\nvar setToStringTag = require('./_set-to-string-tag');\nvar getPrototypeOf = require('./_object-gpo');\nvar ITERATOR = require('./_wks')('iterator');\nvar BUGGY = !([].keys && 'next' in [].keys()); // Safari has buggy iterators w/o `next`\nvar FF_ITERATOR = '@@iterator';\nvar KEYS = 'keys';\nvar VALUES = 'values';\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (Base, NAME, Constructor, next, DEFAULT, IS_SET, FORCED) {\n  $iterCreate(Constructor, NAME, next);\n  var getMethod = function (kind) {\n    if (!BUGGY && kind in proto) return proto[kind];\n    switch (kind) {\n      case KEYS: return function keys() { return new Constructor(this, kind); };\n      case VALUES: return function values() { return new Constructor(this, kind); };\n    } return function entries() { return new Constructor(this, kind); };\n  };\n  var TAG = NAME + ' Iterator';\n  var DEF_VALUES = DEFAULT == VALUES;\n  var VALUES_BUG = false;\n  var proto = Base.prototype;\n  var $native = proto[ITERATOR] || proto[FF_ITERATOR] || DEFAULT && proto[DEFAULT];\n  var $default = $native || getMethod(DEFAULT);\n  var $entries = DEFAULT ? !DEF_VALUES ? $default : getMethod('entries') : undefined;\n  var $anyNative = NAME == 'Array' ? proto.entries || $native : $native;\n  var methods, key, IteratorPrototype;\n  // Fix native\n  if ($anyNative) {\n    IteratorPrototype = getPrototypeOf($anyNative.call(new Base()));\n    if (IteratorPrototype !== Object.prototype && IteratorPrototype.next) {\n      // Set @@toStringTag to native iterators\n      setToStringTag(IteratorPrototype, TAG, true);\n      // fix for some old engines\n      if (!LIBRARY && typeof IteratorPrototype[ITERATOR] != 'function') hide(IteratorPrototype, ITERATOR, returnThis);\n    }\n  }\n  // fix Array#{values, @@iterator}.name in V8 / FF\n  if (DEF_VALUES && $native && $native.name !== VALUES) {\n    VALUES_BUG = true;\n    $default = function values() { return $native.call(this); };\n  }\n  // Define iterator\n  if ((!LIBRARY || FORCED) && (BUGGY || VALUES_BUG || !proto[ITERATOR])) {\n    hide(proto, ITERATOR, $default);\n  }\n  // Plug for library\n  Iterators[NAME] = $default;\n  Iterators[TAG] = returnThis;\n  if (DEFAULT) {\n    methods = {\n      values: DEF_VALUES ? $default : getMethod(VALUES),\n      keys: IS_SET ? $default : getMethod(KEYS),\n      entries: $entries\n    };\n    if (FORCED) for (key in methods) {\n      if (!(key in proto)) redefine(proto, key, methods[key]);\n    } else $export($export.P + $export.F * (BUGGY || VALUES_BUG), NAME, methods);\n  }\n  return methods;\n};\n","var hash = exports;\n\nhash.utils = require('./hash/utils');\nhash.common = require('./hash/common');\nhash.sha = require('./hash/sha');\nhash.ripemd = require('./hash/ripemd');\nhash.hmac = require('./hash/hmac');\n\n// Proxy hash functions to the main object\nhash.sha1 = hash.sha.sha1;\nhash.sha256 = hash.sha.sha256;\nhash.sha224 = hash.sha.sha224;\nhash.sha384 = hash.sha.sha384;\nhash.sha512 = hash.sha.sha512;\nhash.ripemd160 = hash.ripemd.ripemd160;\n","var bn = require('bn.js');\nvar randomBytes = require('randombytes');\nmodule.exports = crt;\nfunction blind(priv) {\n  var r = getr(priv);\n  var blinder = r.toRed(bn.mont(priv.modulus))\n  .redPow(new bn(priv.publicExponent)).fromRed();\n  return {\n    blinder: blinder,\n    unblinder:r.invm(priv.modulus)\n  };\n}\nfunction crt(msg, priv) {\n  var blinds = blind(priv);\n  var len = priv.modulus.byteLength();\n  var mod = bn.mont(priv.modulus);\n  var blinded = new bn(msg).mul(blinds.blinder).umod(priv.modulus);\n  var c1 = blinded.toRed(bn.mont(priv.prime1));\n  var c2 = blinded.toRed(bn.mont(priv.prime2));\n  var qinv = priv.coefficient;\n  var p = priv.prime1;\n  var q = priv.prime2;\n  var m1 = c1.redPow(priv.exponent1);\n  var m2 = c2.redPow(priv.exponent2);\n  m1 = m1.fromRed();\n  m2 = m2.fromRed();\n  var h = m1.isub(m2).imul(qinv).umod(p);\n  h.imul(q);\n  m2.iadd(h);\n  return new Buffer(m2.imul(blinds.unblinder).umod(priv.modulus).toArray(false, len));\n}\ncrt.getr = getr;\nfunction getr(priv) {\n  var len = priv.modulus.byteLength();\n  var r = new bn(randomBytes(len));\n  while (r.cmp(priv.modulus) >=  0 || !r.umod(priv.prime1) || !r.umod(priv.prime2)) {\n    r = new bn(randomBytes(len));\n  }\n  return r;\n}\n","var modeModules = {\n  ECB: require('./ecb'),\n  CBC: require('./cbc'),\n  CFB: require('./cfb'),\n  CFB8: require('./cfb8'),\n  CFB1: require('./cfb1'),\n  OFB: require('./ofb'),\n  CTR: require('./ctr'),\n  GCM: require('./ctr')\n}\n\nvar modes = require('./list.json')\n\nfor (var key in modes) {\n  modes[key].module = modeModules[modes[key].mode]\n}\n\nmodule.exports = modes\n","var ciphers = require('./encrypter')\nvar deciphers = require('./decrypter')\nvar modes = require('./modes/list.json')\n\nfunction getCiphers () {\n  return Object.keys(modes)\n}\n\nexports.createCipher = exports.Cipher = ciphers.createCipher\nexports.createCipheriv = exports.Cipheriv = ciphers.createCipheriv\nexports.createDecipher = exports.Decipher = deciphers.createDecipher\nexports.createDecipheriv = exports.Decipheriv = deciphers.createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","'use strict';\n\nexports.utils = require('./des/utils');\nexports.Cipher = require('./des/cipher');\nexports.DES = require('./des/des');\nexports.CBC = require('./des/cbc');\nexports.EDE = require('./des/ede');\n","var exports = module.exports = function SHA (algorithm) {\n  algorithm = algorithm.toLowerCase()\n\n  var Algorithm = exports[algorithm]\n  if (!Algorithm) throw new Error(algorithm + ' is not supported (we accept pull requests)')\n\n  return new Algorithm()\n}\n\nexports.sha = require('./sha')\nexports.sha1 = require('./sha1')\nexports.sha224 = require('./sha224')\nexports.sha256 = require('./sha256')\nexports.sha384 = require('./sha384')\nexports.sha512 = require('./sha512')\n","'use strict'\nvar Buffer = require('buffer').Buffer\nvar inherits = require('inherits')\nvar HashBase = require('hash-base')\n\nvar ARRAY16 = new Array(16)\n\nvar zl = [\n  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,\n  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,\n  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,\n  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13\n]\n\nvar zr = [\n  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,\n  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,\n  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,\n  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,\n  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11\n]\n\nvar sl = [\n  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,\n  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,\n  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,\n  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,\n  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6\n]\n\nvar sr = [\n  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,\n  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,\n  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,\n  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,\n  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11\n]\n\nvar hl = [0x00000000, 0x5a827999, 0x6ed9eba1, 0x8f1bbcdc, 0xa953fd4e]\nvar hr = [0x50a28be6, 0x5c4dd124, 0x6d703ef3, 0x7a6d76e9, 0x00000000]\n\nfunction RIPEMD160 () {\n  HashBase.call(this, 64)\n\n  // state\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n}\n\ninherits(RIPEMD160, HashBase)\n\nRIPEMD160.prototype._update = function () {\n  var words = ARRAY16\n  for (var j = 0; j < 16; ++j) words[j] = this._block.readInt32LE(j * 4)\n\n  var al = this._a | 0\n  var bl = this._b | 0\n  var cl = this._c | 0\n  var dl = this._d | 0\n  var el = this._e | 0\n\n  var ar = this._a | 0\n  var br = this._b | 0\n  var cr = this._c | 0\n  var dr = this._d | 0\n  var er = this._e | 0\n\n  // computation\n  for (var i = 0; i < 80; i += 1) {\n    var tl\n    var tr\n    if (i < 16) {\n      tl = fn1(al, bl, cl, dl, el, words[zl[i]], hl[0], sl[i])\n      tr = fn5(ar, br, cr, dr, er, words[zr[i]], hr[0], sr[i])\n    } else if (i < 32) {\n      tl = fn2(al, bl, cl, dl, el, words[zl[i]], hl[1], sl[i])\n      tr = fn4(ar, br, cr, dr, er, words[zr[i]], hr[1], sr[i])\n    } else if (i < 48) {\n      tl = fn3(al, bl, cl, dl, el, words[zl[i]], hl[2], sl[i])\n      tr = fn3(ar, br, cr, dr, er, words[zr[i]], hr[2], sr[i])\n    } else if (i < 64) {\n      tl = fn4(al, bl, cl, dl, el, words[zl[i]], hl[3], sl[i])\n      tr = fn2(ar, br, cr, dr, er, words[zr[i]], hr[3], sr[i])\n    } else { // if (i<80) {\n      tl = fn5(al, bl, cl, dl, el, words[zl[i]], hl[4], sl[i])\n      tr = fn1(ar, br, cr, dr, er, words[zr[i]], hr[4], sr[i])\n    }\n\n    al = el\n    el = dl\n    dl = rotl(cl, 10)\n    cl = bl\n    bl = tl\n\n    ar = er\n    er = dr\n    dr = rotl(cr, 10)\n    cr = br\n    br = tr\n  }\n\n  // update state\n  var t = (this._b + cl + dr) | 0\n  this._b = (this._c + dl + er) | 0\n  this._c = (this._d + el + ar) | 0\n  this._d = (this._e + al + br) | 0\n  this._e = (this._a + bl + cr) | 0\n  this._a = t\n}\n\nRIPEMD160.prototype._digest = function () {\n  // create padding and handle blocks\n  this._block[this._blockOffset++] = 0x80\n  if (this._blockOffset > 56) {\n    this._block.fill(0, this._blockOffset, 64)\n    this._update()\n    this._blockOffset = 0\n  }\n\n  this._block.fill(0, this._blockOffset, 56)\n  this._block.writeUInt32LE(this._length[0], 56)\n  this._block.writeUInt32LE(this._length[1], 60)\n  this._update()\n\n  // produce result\n  var buffer = Buffer.alloc ? Buffer.alloc(20) : new Buffer(20)\n  buffer.writeInt32LE(this._a, 0)\n  buffer.writeInt32LE(this._b, 4)\n  buffer.writeInt32LE(this._c, 8)\n  buffer.writeInt32LE(this._d, 12)\n  buffer.writeInt32LE(this._e, 16)\n  return buffer\n}\n\nfunction rotl (x, n) {\n  return (x << n) | (x >>> (32 - n))\n}\n\nfunction fn1 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn2 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn3 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b | (~c)) ^ d) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn4 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn5 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + (b ^ (c | (~d))) + m + k) | 0, s) + e) | 0\n}\n\nmodule.exports = RIPEMD160\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\n/*</replacement>*/\n\nvar isEncoding = Buffer.isEncoding || function (encoding) {\n  encoding = '' + encoding;\n  switch (encoding && encoding.toLowerCase()) {\n    case 'hex':case 'utf8':case 'utf-8':case 'ascii':case 'binary':case 'base64':case 'ucs2':case 'ucs-2':case 'utf16le':case 'utf-16le':case 'raw':\n      return true;\n    default:\n      return false;\n  }\n};\n\nfunction _normalizeEncoding(enc) {\n  if (!enc) return 'utf8';\n  var retried;\n  while (true) {\n    switch (enc) {\n      case 'utf8':\n      case 'utf-8':\n        return 'utf8';\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return 'utf16le';\n      case 'latin1':\n      case 'binary':\n        return 'latin1';\n      case 'base64':\n      case 'ascii':\n      case 'hex':\n        return enc;\n      default:\n        if (retried) return; // undefined\n        enc = ('' + enc).toLowerCase();\n        retried = true;\n    }\n  }\n};\n\n// Do not cache `Buffer.isEncoding` when checking encoding names as some\n// modules monkey-patch it to support additional encodings\nfunction normalizeEncoding(enc) {\n  var nenc = _normalizeEncoding(enc);\n  if (typeof nenc !== 'string' && (Buffer.isEncoding === isEncoding || !isEncoding(enc))) throw new Error('Unknown encoding: ' + enc);\n  return nenc || enc;\n}\n\n// StringDecoder provides an interface for efficiently splitting a series of\n// buffers into a series of JS strings without breaking apart multi-byte\n// characters.\nexports.StringDecoder = StringDecoder;\nfunction StringDecoder(encoding) {\n  this.encoding = normalizeEncoding(encoding);\n  var nb;\n  switch (this.encoding) {\n    case 'utf16le':\n      this.text = utf16Text;\n      this.end = utf16End;\n      nb = 4;\n      break;\n    case 'utf8':\n      this.fillLast = utf8FillLast;\n      nb = 4;\n      break;\n    case 'base64':\n      this.text = base64Text;\n      this.end = base64End;\n      nb = 3;\n      break;\n    default:\n      this.write = simpleWrite;\n      this.end = simpleEnd;\n      return;\n  }\n  this.lastNeed = 0;\n  this.lastTotal = 0;\n  this.lastChar = Buffer.allocUnsafe(nb);\n}\n\nStringDecoder.prototype.write = function (buf) {\n  if (buf.length === 0) return '';\n  var r;\n  var i;\n  if (this.lastNeed) {\n    r = this.fillLast(buf);\n    if (r === undefined) return '';\n    i = this.lastNeed;\n    this.lastNeed = 0;\n  } else {\n    i = 0;\n  }\n  if (i < buf.length) return r ? r + this.text(buf, i) : this.text(buf, i);\n  return r || '';\n};\n\nStringDecoder.prototype.end = utf8End;\n\n// Returns only complete characters in a Buffer\nStringDecoder.prototype.text = utf8Text;\n\n// Attempts to complete a partial non-UTF-8 character using bytes from a Buffer\nStringDecoder.prototype.fillLast = function (buf) {\n  if (this.lastNeed <= buf.length) {\n    buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, this.lastNeed);\n    return this.lastChar.toString(this.encoding, 0, this.lastTotal);\n  }\n  buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, buf.length);\n  this.lastNeed -= buf.length;\n};\n\n// Checks the type of a UTF-8 byte, whether it's ASCII, a leading byte, or a\n// continuation byte. If an invalid byte is detected, -2 is returned.\nfunction utf8CheckByte(byte) {\n  if (byte <= 0x7F) return 0;else if (byte >> 5 === 0x06) return 2;else if (byte >> 4 === 0x0E) return 3;else if (byte >> 3 === 0x1E) return 4;\n  return byte >> 6 === 0x02 ? -1 : -2;\n}\n\n// Checks at most 3 bytes at the end of a Buffer in order to detect an\n// incomplete multi-byte UTF-8 character. The total number of bytes (2, 3, or 4)\n// needed to complete the UTF-8 character (if applicable) are returned.\nfunction utf8CheckIncomplete(self, buf, i) {\n  var j = buf.length - 1;\n  if (j < i) return 0;\n  var nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) self.lastNeed = nb - 1;\n    return nb;\n  }\n  if (--j < i || nb === -2) return 0;\n  nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) self.lastNeed = nb - 2;\n    return nb;\n  }\n  if (--j < i || nb === -2) return 0;\n  nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) {\n      if (nb === 2) nb = 0;else self.lastNeed = nb - 3;\n    }\n    return nb;\n  }\n  return 0;\n}\n\n// Validates as many continuation bytes for a multi-byte UTF-8 character as\n// needed or are available. If we see a non-continuation byte where we expect\n// one, we \"replace\" the validated continuation bytes we've seen so far with\n// a single UTF-8 replacement character ('\\ufffd'), to match v8's UTF-8 decoding\n// behavior. The continuation byte check is included three times in the case\n// where all of the continuation bytes for a character exist in the same buffer.\n// It is also done this way as a slight performance increase instead of using a\n// loop.\nfunction utf8CheckExtraBytes(self, buf, p) {\n  if ((buf[0] & 0xC0) !== 0x80) {\n    self.lastNeed = 0;\n    return '\\ufffd';\n  }\n  if (self.lastNeed > 1 && buf.length > 1) {\n    if ((buf[1] & 0xC0) !== 0x80) {\n      self.lastNeed = 1;\n      return '\\ufffd';\n    }\n    if (self.lastNeed > 2 && buf.length > 2) {\n      if ((buf[2] & 0xC0) !== 0x80) {\n        self.lastNeed = 2;\n        return '\\ufffd';\n      }\n    }\n  }\n}\n\n// Attempts to complete a multi-byte UTF-8 character using bytes from a Buffer.\nfunction utf8FillLast(buf) {\n  var p = this.lastTotal - this.lastNeed;\n  var r = utf8CheckExtraBytes(this, buf, p);\n  if (r !== undefined) return r;\n  if (this.lastNeed <= buf.length) {\n    buf.copy(this.lastChar, p, 0, this.lastNeed);\n    return this.lastChar.toString(this.encoding, 0, this.lastTotal);\n  }\n  buf.copy(this.lastChar, p, 0, buf.length);\n  this.lastNeed -= buf.length;\n}\n\n// Returns all complete UTF-8 characters in a Buffer. If the Buffer ended on a\n// partial character, the character's bytes are buffered until the required\n// number of bytes are available.\nfunction utf8Text(buf, i) {\n  var total = utf8CheckIncomplete(this, buf, i);\n  if (!this.lastNeed) return buf.toString('utf8', i);\n  this.lastTotal = total;\n  var end = buf.length - (total - this.lastNeed);\n  buf.copy(this.lastChar, 0, end);\n  return buf.toString('utf8', i, end);\n}\n\n// For UTF-8, a replacement character is added when ending on a partial\n// character.\nfunction utf8End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) return r + '\\ufffd';\n  return r;\n}\n\n// UTF-16LE typically needs two bytes per character, but even if we have an even\n// number of bytes available, we need to check if we end on a leading/high\n// surrogate. In that case, we need to wait for the next two bytes in order to\n// decode the last character properly.\nfunction utf16Text(buf, i) {\n  if ((buf.length - i) % 2 === 0) {\n    var r = buf.toString('utf16le', i);\n    if (r) {\n      var c = r.charCodeAt(r.length - 1);\n      if (c >= 0xD800 && c <= 0xDBFF) {\n        this.lastNeed = 2;\n        this.lastTotal = 4;\n        this.lastChar[0] = buf[buf.length - 2];\n        this.lastChar[1] = buf[buf.length - 1];\n        return r.slice(0, -1);\n      }\n    }\n    return r;\n  }\n  this.lastNeed = 1;\n  this.lastTotal = 2;\n  this.lastChar[0] = buf[buf.length - 1];\n  return buf.toString('utf16le', i, buf.length - 1);\n}\n\n// For UTF-16LE we do not explicitly append special replacement characters if we\n// end on a partial character, we simply let v8 handle that.\nfunction utf16End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) {\n    var end = this.lastTotal - this.lastNeed;\n    return r + this.lastChar.toString('utf16le', 0, end);\n  }\n  return r;\n}\n\nfunction base64Text(buf, i) {\n  var n = (buf.length - i) % 3;\n  if (n === 0) return buf.toString('base64', i);\n  this.lastNeed = 3 - n;\n  this.lastTotal = 3;\n  if (n === 1) {\n    this.lastChar[0] = buf[buf.length - 1];\n  } else {\n    this.lastChar[0] = buf[buf.length - 2];\n    this.lastChar[1] = buf[buf.length - 1];\n  }\n  return buf.toString('base64', i, buf.length - n);\n}\n\nfunction base64End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) return r + this.lastChar.toString('base64', 0, 3 - this.lastNeed);\n  return r;\n}\n\n// Pass bytes on through for single-byte encodings (e.g. ascii, latin1, hex)\nfunction simpleWrite(buf) {\n  return buf.toString(this.encoding);\n}\n\nfunction simpleEnd(buf) {\n  return buf && buf.length ? this.write(buf) : '';\n}","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// A bit simpler than readable streams.\n// Implement an async ._write(chunk, encoding, cb), and it'll handle all\n// the drain event emission and buffering.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Writable;\n\n/* <replacement> */\nfunction WriteReq(chunk, encoding, cb) {\n  this.chunk = chunk;\n  this.encoding = encoding;\n  this.callback = cb;\n  this.next = null;\n}\n\n// It seems a linked list but it is not\n// there will be only 2 of these for each stream\nfunction CorkedRequest(state) {\n  var _this = this;\n\n  this.next = null;\n  this.entry = null;\n  this.finish = function () {\n    onCorkedFinish(_this, state);\n  };\n}\n/* </replacement> */\n\n/*<replacement>*/\nvar asyncWrite = !process.browser && ['v0.10', 'v0.9.'].indexOf(process.version.slice(0, 5)) > -1 ? setImmediate : pna.nextTick;\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nWritable.WritableState = WritableState;\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar internalUtil = {\n  deprecate: require('util-deprecate')\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\nvar destroyImpl = require('./internal/streams/destroy');\n\nutil.inherits(Writable, Stream);\n\nfunction nop() {}\n\nfunction WritableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag to indicate whether or not this stream\n  // contains buffers or objects.\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.writableObjectMode;\n\n  // the point at which write() starts returning false\n  // Note: 0 is a valid value, means that we always return false if\n  // the entire buffer is not flushed immediately on write()\n  var hwm = options.highWaterMark;\n  var writableHwm = options.writableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (writableHwm || writableHwm === 0)) this.highWaterMark = writableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // if _final has been called\n  this.finalCalled = false;\n\n  // drain event flag.\n  this.needDrain = false;\n  // at the start of calling end()\n  this.ending = false;\n  // when end() has been called, and returned\n  this.ended = false;\n  // when 'finish' is emitted\n  this.finished = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // should we decode strings into buffers before passing to _write?\n  // this is here so that some node-core streams can optimize string\n  // handling at a lower level.\n  var noDecode = options.decodeStrings === false;\n  this.decodeStrings = !noDecode;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // not an actual buffer we keep track of, but a measurement\n  // of how much we're waiting to get pushed to some underlying\n  // socket or file.\n  this.length = 0;\n\n  // a flag to see when we're in the middle of a write.\n  this.writing = false;\n\n  // when true all writes will be buffered until .uncork() call\n  this.corked = 0;\n\n  // a flag to be able to tell if the onwrite cb is called immediately,\n  // or on a later tick.  We set this to true at first, because any\n  // actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first write call.\n  this.sync = true;\n\n  // a flag to know if we're processing previously buffered items, which\n  // may call the _write() callback in the same tick, so that we don't\n  // end up in an overlapped onwrite situation.\n  this.bufferProcessing = false;\n\n  // the callback that's passed to _write(chunk,cb)\n  this.onwrite = function (er) {\n    onwrite(stream, er);\n  };\n\n  // the callback that the user supplies to write(chunk,encoding,cb)\n  this.writecb = null;\n\n  // the amount that is being written when _write is called.\n  this.writelen = 0;\n\n  this.bufferedRequest = null;\n  this.lastBufferedRequest = null;\n\n  // number of pending user-supplied write callbacks\n  // this must be 0 before 'finish' can be emitted\n  this.pendingcb = 0;\n\n  // emit prefinish if the only thing we're waiting for is _write cbs\n  // This is relevant for synchronous Transform streams\n  this.prefinished = false;\n\n  // True if the error was already emitted and should not be thrown again\n  this.errorEmitted = false;\n\n  // count buffered requests\n  this.bufferedRequestCount = 0;\n\n  // allocate the first CorkedRequest, there is always\n  // one allocated and free to use, and we maintain at most two\n  this.corkedRequestsFree = new CorkedRequest(this);\n}\n\nWritableState.prototype.getBuffer = function getBuffer() {\n  var current = this.bufferedRequest;\n  var out = [];\n  while (current) {\n    out.push(current);\n    current = current.next;\n  }\n  return out;\n};\n\n(function () {\n  try {\n    Object.defineProperty(WritableState.prototype, 'buffer', {\n      get: internalUtil.deprecate(function () {\n        return this.getBuffer();\n      }, '_writableState.buffer is deprecated. Use _writableState.getBuffer ' + 'instead.', 'DEP0003')\n    });\n  } catch (_) {}\n})();\n\n// Test _writableState for inheritance to account for Duplex streams,\n// whose prototype chain only points to Readable.\nvar realHasInstance;\nif (typeof Symbol === 'function' && Symbol.hasInstance && typeof Function.prototype[Symbol.hasInstance] === 'function') {\n  realHasInstance = Function.prototype[Symbol.hasInstance];\n  Object.defineProperty(Writable, Symbol.hasInstance, {\n    value: function (object) {\n      if (realHasInstance.call(this, object)) return true;\n      if (this !== Writable) return false;\n\n      return object && object._writableState instanceof WritableState;\n    }\n  });\n} else {\n  realHasInstance = function (object) {\n    return object instanceof this;\n  };\n}\n\nfunction Writable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  // Writable ctor is applied to Duplexes, too.\n  // `realHasInstance` is necessary because using plain `instanceof`\n  // would return false, as no `_writableState` property is attached.\n\n  // Trying to use the custom `instanceof` for Writable here will also break the\n  // Node.js LazyTransform implementation, which has a non-trivial getter for\n  // `_writableState` that would lead to infinite recursion.\n  if (!realHasInstance.call(Writable, this) && !(this instanceof Duplex)) {\n    return new Writable(options);\n  }\n\n  this._writableState = new WritableState(options, this);\n\n  // legacy.\n  this.writable = true;\n\n  if (options) {\n    if (typeof options.write === 'function') this._write = options.write;\n\n    if (typeof options.writev === 'function') this._writev = options.writev;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n\n    if (typeof options.final === 'function') this._final = options.final;\n  }\n\n  Stream.call(this);\n}\n\n// Otherwise people can pipe Writable streams, which is just wrong.\nWritable.prototype.pipe = function () {\n  this.emit('error', new Error('Cannot pipe, not readable'));\n};\n\nfunction writeAfterEnd(stream, cb) {\n  var er = new Error('write after end');\n  // TODO: defer error events consistently everywhere, not just the cb\n  stream.emit('error', er);\n  pna.nextTick(cb, er);\n}\n\n// Checks that a user-supplied chunk is valid, especially for the particular\n// mode the stream is in. Currently this means that `null` is never accepted\n// and undefined/non-string values are only allowed in object mode.\nfunction validChunk(stream, state, chunk, cb) {\n  var valid = true;\n  var er = false;\n\n  if (chunk === null) {\n    er = new TypeError('May not write null values to stream');\n  } else if (typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  if (er) {\n    stream.emit('error', er);\n    pna.nextTick(cb, er);\n    valid = false;\n  }\n  return valid;\n}\n\nWritable.prototype.write = function (chunk, encoding, cb) {\n  var state = this._writableState;\n  var ret = false;\n  var isBuf = !state.objectMode && _isUint8Array(chunk);\n\n  if (isBuf && !Buffer.isBuffer(chunk)) {\n    chunk = _uint8ArrayToBuffer(chunk);\n  }\n\n  if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (isBuf) encoding = 'buffer';else if (!encoding) encoding = state.defaultEncoding;\n\n  if (typeof cb !== 'function') cb = nop;\n\n  if (state.ended) writeAfterEnd(this, cb);else if (isBuf || validChunk(this, state, chunk, cb)) {\n    state.pendingcb++;\n    ret = writeOrBuffer(this, state, isBuf, chunk, encoding, cb);\n  }\n\n  return ret;\n};\n\nWritable.prototype.cork = function () {\n  var state = this._writableState;\n\n  state.corked++;\n};\n\nWritable.prototype.uncork = function () {\n  var state = this._writableState;\n\n  if (state.corked) {\n    state.corked--;\n\n    if (!state.writing && !state.corked && !state.finished && !state.bufferProcessing && state.bufferedRequest) clearBuffer(this, state);\n  }\n};\n\nWritable.prototype.setDefaultEncoding = function setDefaultEncoding(encoding) {\n  // node::ParseEncoding() requires lower case.\n  if (typeof encoding === 'string') encoding = encoding.toLowerCase();\n  if (!(['hex', 'utf8', 'utf-8', 'ascii', 'binary', 'base64', 'ucs2', 'ucs-2', 'utf16le', 'utf-16le', 'raw'].indexOf((encoding + '').toLowerCase()) > -1)) throw new TypeError('Unknown encoding: ' + encoding);\n  this._writableState.defaultEncoding = encoding;\n  return this;\n};\n\nfunction decodeChunk(state, chunk, encoding) {\n  if (!state.objectMode && state.decodeStrings !== false && typeof chunk === 'string') {\n    chunk = Buffer.from(chunk, encoding);\n  }\n  return chunk;\n}\n\nObject.defineProperty(Writable.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// if we're already writing something, then just put this\n// in the queue, and wait our turn.  Otherwise, call _write\n// If we return false, then we need a drain event, so set that flag.\nfunction writeOrBuffer(stream, state, isBuf, chunk, encoding, cb) {\n  if (!isBuf) {\n    var newChunk = decodeChunk(state, chunk, encoding);\n    if (chunk !== newChunk) {\n      isBuf = true;\n      encoding = 'buffer';\n      chunk = newChunk;\n    }\n  }\n  var len = state.objectMode ? 1 : chunk.length;\n\n  state.length += len;\n\n  var ret = state.length < state.highWaterMark;\n  // we must ensure that previous needDrain will not be reset to false.\n  if (!ret) state.needDrain = true;\n\n  if (state.writing || state.corked) {\n    var last = state.lastBufferedRequest;\n    state.lastBufferedRequest = {\n      chunk: chunk,\n      encoding: encoding,\n      isBuf: isBuf,\n      callback: cb,\n      next: null\n    };\n    if (last) {\n      last.next = state.lastBufferedRequest;\n    } else {\n      state.bufferedRequest = state.lastBufferedRequest;\n    }\n    state.bufferedRequestCount += 1;\n  } else {\n    doWrite(stream, state, false, len, chunk, encoding, cb);\n  }\n\n  return ret;\n}\n\nfunction doWrite(stream, state, writev, len, chunk, encoding, cb) {\n  state.writelen = len;\n  state.writecb = cb;\n  state.writing = true;\n  state.sync = true;\n  if (writev) stream._writev(chunk, state.onwrite);else stream._write(chunk, encoding, state.onwrite);\n  state.sync = false;\n}\n\nfunction onwriteError(stream, state, sync, er, cb) {\n  --state.pendingcb;\n\n  if (sync) {\n    // defer the callback if we are being called synchronously\n    // to avoid piling up things on the stack\n    pna.nextTick(cb, er);\n    // this can emit finish, and it will always happen\n    // after error\n    pna.nextTick(finishMaybe, stream, state);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n  } else {\n    // the caller expect this to happen before if\n    // it is async\n    cb(er);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n    // this can emit finish, but finish must\n    // always follow error\n    finishMaybe(stream, state);\n  }\n}\n\nfunction onwriteStateUpdate(state) {\n  state.writing = false;\n  state.writecb = null;\n  state.length -= state.writelen;\n  state.writelen = 0;\n}\n\nfunction onwrite(stream, er) {\n  var state = stream._writableState;\n  var sync = state.sync;\n  var cb = state.writecb;\n\n  onwriteStateUpdate(state);\n\n  if (er) onwriteError(stream, state, sync, er, cb);else {\n    // Check if we're actually ready to finish, but don't emit yet\n    var finished = needFinish(state);\n\n    if (!finished && !state.corked && !state.bufferProcessing && state.bufferedRequest) {\n      clearBuffer(stream, state);\n    }\n\n    if (sync) {\n      /*<replacement>*/\n      asyncWrite(afterWrite, stream, state, finished, cb);\n      /*</replacement>*/\n    } else {\n      afterWrite(stream, state, finished, cb);\n    }\n  }\n}\n\nfunction afterWrite(stream, state, finished, cb) {\n  if (!finished) onwriteDrain(stream, state);\n  state.pendingcb--;\n  cb();\n  finishMaybe(stream, state);\n}\n\n// Must force callback to be called on nextTick, so that we don't\n// emit 'drain' before the write() consumer gets the 'false' return\n// value, and has a chance to attach a 'drain' listener.\nfunction onwriteDrain(stream, state) {\n  if (state.length === 0 && state.needDrain) {\n    state.needDrain = false;\n    stream.emit('drain');\n  }\n}\n\n// if there's something in the buffer waiting, then process it\nfunction clearBuffer(stream, state) {\n  state.bufferProcessing = true;\n  var entry = state.bufferedRequest;\n\n  if (stream._writev && entry && entry.next) {\n    // Fast case, write everything using _writev()\n    var l = state.bufferedRequestCount;\n    var buffer = new Array(l);\n    var holder = state.corkedRequestsFree;\n    holder.entry = entry;\n\n    var count = 0;\n    var allBuffers = true;\n    while (entry) {\n      buffer[count] = entry;\n      if (!entry.isBuf) allBuffers = false;\n      entry = entry.next;\n      count += 1;\n    }\n    buffer.allBuffers = allBuffers;\n\n    doWrite(stream, state, true, state.length, buffer, '', holder.finish);\n\n    // doWrite is almost always async, defer these to save a bit of time\n    // as the hot path ends with doWrite\n    state.pendingcb++;\n    state.lastBufferedRequest = null;\n    if (holder.next) {\n      state.corkedRequestsFree = holder.next;\n      holder.next = null;\n    } else {\n      state.corkedRequestsFree = new CorkedRequest(state);\n    }\n    state.bufferedRequestCount = 0;\n  } else {\n    // Slow case, write chunks one-by-one\n    while (entry) {\n      var chunk = entry.chunk;\n      var encoding = entry.encoding;\n      var cb = entry.callback;\n      var len = state.objectMode ? 1 : chunk.length;\n\n      doWrite(stream, state, false, len, chunk, encoding, cb);\n      entry = entry.next;\n      state.bufferedRequestCount--;\n      // if we didn't call the onwrite immediately, then\n      // it means that we need to wait until it does.\n      // also, that means that the chunk and cb are currently\n      // being processed, so move the buffer counter past them.\n      if (state.writing) {\n        break;\n      }\n    }\n\n    if (entry === null) state.lastBufferedRequest = null;\n  }\n\n  state.bufferedRequest = entry;\n  state.bufferProcessing = false;\n}\n\nWritable.prototype._write = function (chunk, encoding, cb) {\n  cb(new Error('_write() is not implemented'));\n};\n\nWritable.prototype._writev = null;\n\nWritable.prototype.end = function (chunk, encoding, cb) {\n  var state = this._writableState;\n\n  if (typeof chunk === 'function') {\n    cb = chunk;\n    chunk = null;\n    encoding = null;\n  } else if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (chunk !== null && chunk !== undefined) this.write(chunk, encoding);\n\n  // .end() fully uncorks\n  if (state.corked) {\n    state.corked = 1;\n    this.uncork();\n  }\n\n  // ignore unnecessary end() calls.\n  if (!state.ending && !state.finished) endWritable(this, state, cb);\n};\n\nfunction needFinish(state) {\n  return state.ending && state.length === 0 && state.bufferedRequest === null && !state.finished && !state.writing;\n}\nfunction callFinal(stream, state) {\n  stream._final(function (err) {\n    state.pendingcb--;\n    if (err) {\n      stream.emit('error', err);\n    }\n    state.prefinished = true;\n    stream.emit('prefinish');\n    finishMaybe(stream, state);\n  });\n}\nfunction prefinish(stream, state) {\n  if (!state.prefinished && !state.finalCalled) {\n    if (typeof stream._final === 'function') {\n      state.pendingcb++;\n      state.finalCalled = true;\n      pna.nextTick(callFinal, stream, state);\n    } else {\n      state.prefinished = true;\n      stream.emit('prefinish');\n    }\n  }\n}\n\nfunction finishMaybe(stream, state) {\n  var need = needFinish(state);\n  if (need) {\n    prefinish(stream, state);\n    if (state.pendingcb === 0) {\n      state.finished = true;\n      stream.emit('finish');\n    }\n  }\n  return need;\n}\n\nfunction endWritable(stream, state, cb) {\n  state.ending = true;\n  finishMaybe(stream, state);\n  if (cb) {\n    if (state.finished) pna.nextTick(cb);else stream.once('finish', cb);\n  }\n  state.ended = true;\n  stream.writable = false;\n}\n\nfunction onCorkedFinish(corkReq, state, err) {\n  var entry = corkReq.entry;\n  corkReq.entry = null;\n  while (entry) {\n    var cb = entry.callback;\n    state.pendingcb--;\n    cb(err);\n    entry = entry.next;\n  }\n  if (state.corkedRequestsFree) {\n    state.corkedRequestsFree.next = corkReq;\n  } else {\n    state.corkedRequestsFree = corkReq;\n  }\n}\n\nObject.defineProperty(Writable.prototype, 'destroyed', {\n  get: function () {\n    if (this._writableState === undefined) {\n      return false;\n    }\n    return this._writableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._writableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._writableState.destroyed = value;\n  }\n});\n\nWritable.prototype.destroy = destroyImpl.destroy;\nWritable.prototype._undestroy = destroyImpl.undestroy;\nWritable.prototype._destroy = function (err, cb) {\n  this.end();\n  cb(err);\n};","exports = module.exports = require('./lib/_stream_readable.js');\nexports.Stream = exports;\nexports.Readable = exports;\nexports.Writable = require('./lib/_stream_writable.js');\nexports.Duplex = require('./lib/_stream_duplex.js');\nexports.Transform = require('./lib/_stream_transform.js');\nexports.PassThrough = require('./lib/_stream_passthrough.js');\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nmodule.exports = Stream;\n\nvar EE = require('events').EventEmitter;\nvar inherits = require('inherits');\n\ninherits(Stream, EE);\nStream.Readable = require('readable-stream/readable.js');\nStream.Writable = require('readable-stream/writable.js');\nStream.Duplex = require('readable-stream/duplex.js');\nStream.Transform = require('readable-stream/transform.js');\nStream.PassThrough = require('readable-stream/passthrough.js');\n\n// Backwards-compat with node 0.4.x\nStream.Stream = Stream;\n\n\n\n// old-style streams.  Note that the pipe method (the only relevant\n// part of this class) is overridden in the Readable class.\n\nfunction Stream() {\n  EE.call(this);\n}\n\nStream.prototype.pipe = function(dest, options) {\n  var source = this;\n\n  function ondata(chunk) {\n    if (dest.writable) {\n      if (false === dest.write(chunk) && source.pause) {\n        source.pause();\n      }\n    }\n  }\n\n  source.on('data', ondata);\n\n  function ondrain() {\n    if (source.readable && source.resume) {\n      source.resume();\n    }\n  }\n\n  dest.on('drain', ondrain);\n\n  // If the 'end' option is not supplied, dest.end() will be called when\n  // source gets the 'end' or 'close' events.  Only dest.end() once.\n  if (!dest._isStdio && (!options || options.end !== false)) {\n    source.on('end', onend);\n    source.on('close', onclose);\n  }\n\n  var didOnEnd = false;\n  function onend() {\n    if (didOnEnd) return;\n    didOnEnd = true;\n\n    dest.end();\n  }\n\n\n  function onclose() {\n    if (didOnEnd) return;\n    didOnEnd = true;\n\n    if (typeof dest.destroy === 'function') dest.destroy();\n  }\n\n  // don't leave dangling pipes when there are errors.\n  function onerror(er) {\n    cleanup();\n    if (EE.listenerCount(this, 'error') === 0) {\n      throw er; // Unhandled stream error in pipe.\n    }\n  }\n\n  source.on('error', onerror);\n  dest.on('error', onerror);\n\n  // remove all the event listeners that were added.\n  function cleanup() {\n    source.removeListener('data', ondata);\n    dest.removeListener('drain', ondrain);\n\n    source.removeListener('end', onend);\n    source.removeListener('close', onclose);\n\n    source.removeListener('error', onerror);\n    dest.removeListener('error', onerror);\n\n    source.removeListener('end', cleanup);\n    source.removeListener('close', cleanup);\n\n    dest.removeListener('close', cleanup);\n  }\n\n  source.on('end', cleanup);\n  source.on('close', cleanup);\n\n  dest.on('close', cleanup);\n\n  dest.emit('pipe', source);\n\n  // Allow for unix-like usage: A.pipe(B).pipe(C)\n  return dest;\n};\n","'use strict'\nvar inherits = require('inherits')\nvar HashBase = require('hash-base')\nvar Buffer = require('safe-buffer').Buffer\n\nvar ARRAY16 = new Array(16)\n\nfunction MD5 () {\n  HashBase.call(this, 64)\n\n  // state\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n}\n\ninherits(MD5, HashBase)\n\nMD5.prototype._update = function () {\n  var M = ARRAY16\n  for (var i = 0; i < 16; ++i) M[i] = this._block.readInt32LE(i * 4)\n\n  var a = this._a\n  var b = this._b\n  var c = this._c\n  var d = this._d\n\n  a = fnF(a, b, c, d, M[0], 0xd76aa478, 7)\n  d = fnF(d, a, b, c, M[1], 0xe8c7b756, 12)\n  c = fnF(c, d, a, b, M[2], 0x242070db, 17)\n  b = fnF(b, c, d, a, M[3], 0xc1bdceee, 22)\n  a = fnF(a, b, c, d, M[4], 0xf57c0faf, 7)\n  d = fnF(d, a, b, c, M[5], 0x4787c62a, 12)\n  c = fnF(c, d, a, b, M[6], 0xa8304613, 17)\n  b = fnF(b, c, d, a, M[7], 0xfd469501, 22)\n  a = fnF(a, b, c, d, M[8], 0x698098d8, 7)\n  d = fnF(d, a, b, c, M[9], 0x8b44f7af, 12)\n  c = fnF(c, d, a, b, M[10], 0xffff5bb1, 17)\n  b = fnF(b, c, d, a, M[11], 0x895cd7be, 22)\n  a = fnF(a, b, c, d, M[12], 0x6b901122, 7)\n  d = fnF(d, a, b, c, M[13], 0xfd987193, 12)\n  c = fnF(c, d, a, b, M[14], 0xa679438e, 17)\n  b = fnF(b, c, d, a, M[15], 0x49b40821, 22)\n\n  a = fnG(a, b, c, d, M[1], 0xf61e2562, 5)\n  d = fnG(d, a, b, c, M[6], 0xc040b340, 9)\n  c = fnG(c, d, a, b, M[11], 0x265e5a51, 14)\n  b = fnG(b, c, d, a, M[0], 0xe9b6c7aa, 20)\n  a = fnG(a, b, c, d, M[5], 0xd62f105d, 5)\n  d = fnG(d, a, b, c, M[10], 0x02441453, 9)\n  c = fnG(c, d, a, b, M[15], 0xd8a1e681, 14)\n  b = fnG(b, c, d, a, M[4], 0xe7d3fbc8, 20)\n  a = fnG(a, b, c, d, M[9], 0x21e1cde6, 5)\n  d = fnG(d, a, b, c, M[14], 0xc33707d6, 9)\n  c = fnG(c, d, a, b, M[3], 0xf4d50d87, 14)\n  b = fnG(b, c, d, a, M[8], 0x455a14ed, 20)\n  a = fnG(a, b, c, d, M[13], 0xa9e3e905, 5)\n  d = fnG(d, a, b, c, M[2], 0xfcefa3f8, 9)\n  c = fnG(c, d, a, b, M[7], 0x676f02d9, 14)\n  b = fnG(b, c, d, a, M[12], 0x8d2a4c8a, 20)\n\n  a = fnH(a, b, c, d, M[5], 0xfffa3942, 4)\n  d = fnH(d, a, b, c, M[8], 0x8771f681, 11)\n  c = fnH(c, d, a, b, M[11], 0x6d9d6122, 16)\n  b = fnH(b, c, d, a, M[14], 0xfde5380c, 23)\n  a = fnH(a, b, c, d, M[1], 0xa4beea44, 4)\n  d = fnH(d, a, b, c, M[4], 0x4bdecfa9, 11)\n  c = fnH(c, d, a, b, M[7], 0xf6bb4b60, 16)\n  b = fnH(b, c, d, a, M[10], 0xbebfbc70, 23)\n  a = fnH(a, b, c, d, M[13], 0x289b7ec6, 4)\n  d = fnH(d, a, b, c, M[0], 0xeaa127fa, 11)\n  c = fnH(c, d, a, b, M[3], 0xd4ef3085, 16)\n  b = fnH(b, c, d, a, M[6], 0x04881d05, 23)\n  a = fnH(a, b, c, d, M[9], 0xd9d4d039, 4)\n  d = fnH(d, a, b, c, M[12], 0xe6db99e5, 11)\n  c = fnH(c, d, a, b, M[15], 0x1fa27cf8, 16)\n  b = fnH(b, c, d, a, M[2], 0xc4ac5665, 23)\n\n  a = fnI(a, b, c, d, M[0], 0xf4292244, 6)\n  d = fnI(d, a, b, c, M[7], 0x432aff97, 10)\n  c = fnI(c, d, a, b, M[14], 0xab9423a7, 15)\n  b = fnI(b, c, d, a, M[5], 0xfc93a039, 21)\n  a = fnI(a, b, c, d, M[12], 0x655b59c3, 6)\n  d = fnI(d, a, b, c, M[3], 0x8f0ccc92, 10)\n  c = fnI(c, d, a, b, M[10], 0xffeff47d, 15)\n  b = fnI(b, c, d, a, M[1], 0x85845dd1, 21)\n  a = fnI(a, b, c, d, M[8], 0x6fa87e4f, 6)\n  d = fnI(d, a, b, c, M[15], 0xfe2ce6e0, 10)\n  c = fnI(c, d, a, b, M[6], 0xa3014314, 15)\n  b = fnI(b, c, d, a, M[13], 0x4e0811a1, 21)\n  a = fnI(a, b, c, d, M[4], 0xf7537e82, 6)\n  d = fnI(d, a, b, c, M[11], 0xbd3af235, 10)\n  c = fnI(c, d, a, b, M[2], 0x2ad7d2bb, 15)\n  b = fnI(b, c, d, a, M[9], 0xeb86d391, 21)\n\n  this._a = (this._a + a) | 0\n  this._b = (this._b + b) | 0\n  this._c = (this._c + c) | 0\n  this._d = (this._d + d) | 0\n}\n\nMD5.prototype._digest = function () {\n  // create padding and handle blocks\n  this._block[this._blockOffset++] = 0x80\n  if (this._blockOffset > 56) {\n    this._block.fill(0, this._blockOffset, 64)\n    this._update()\n    this._blockOffset = 0\n  }\n\n  this._block.fill(0, this._blockOffset, 56)\n  this._block.writeUInt32LE(this._length[0], 56)\n  this._block.writeUInt32LE(this._length[1], 60)\n  this._update()\n\n  // produce result\n  var buffer = Buffer.allocUnsafe(16)\n  buffer.writeInt32LE(this._a, 0)\n  buffer.writeInt32LE(this._b, 4)\n  buffer.writeInt32LE(this._c, 8)\n  buffer.writeInt32LE(this._d, 12)\n  return buffer\n}\n\nfunction rotl (x, n) {\n  return (x << n) | (x >>> (32 - n))\n}\n\nfunction fnF (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnG (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnH (a, b, c, d, m, k, s) {\n  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnI (a, b, c, d, m, k, s) {\n  return (rotl((a + ((c ^ (b | (~d)))) + m + k) | 0, s) + b) | 0\n}\n\nmodule.exports = MD5\n","var scope = (typeof global !== \"undefined\" && global) ||\n            (typeof self !== \"undefined\" && self) ||\n            window;\nvar apply = Function.prototype.apply;\n\n// DOM APIs, for completeness\n\nexports.setTimeout = function() {\n  return new Timeout(apply.call(setTimeout, scope, arguments), clearTimeout);\n};\nexports.setInterval = function() {\n  return new Timeout(apply.call(setInterval, scope, arguments), clearInterval);\n};\nexports.clearTimeout =\nexports.clearInterval = function(timeout) {\n  if (timeout) {\n    timeout.close();\n  }\n};\n\nfunction Timeout(id, clearFn) {\n  this._id = id;\n  this._clearFn = clearFn;\n}\nTimeout.prototype.unref = Timeout.prototype.ref = function() {};\nTimeout.prototype.close = function() {\n  this._clearFn.call(scope, this._id);\n};\n\n// Does not start the time, just sets up the members needed.\nexports.enroll = function(item, msecs) {\n  clearTimeout(item._idleTimeoutId);\n  item._idleTimeout = msecs;\n};\n\nexports.unenroll = function(item) {\n  clearTimeout(item._idleTimeoutId);\n  item._idleTimeout = -1;\n};\n\nexports._unrefActive = exports.active = function(item) {\n  clearTimeout(item._idleTimeoutId);\n\n  var msecs = item._idleTimeout;\n  if (msecs >= 0) {\n    item._idleTimeoutId = setTimeout(function onTimeout() {\n      if (item._onTimeout)\n        item._onTimeout();\n    }, msecs);\n  }\n};\n\n// setimmediate attaches itself to the global object\nrequire(\"setimmediate\");\n// On some exotic environments, it's not clear which object `setimmediate` was\n// able to install onto.  Search each possibility in the same order as the\n// `setimmediate` library.\nexports.setImmediate = (typeof self !== \"undefined\" && self.setImmediate) ||\n                       (typeof global !== \"undefined\" && global.setImmediate) ||\n                       (this && this.setImmediate);\nexports.clearImmediate = (typeof self !== \"undefined\" && self.clearImmediate) ||\n                         (typeof global !== \"undefined\" && global.clearImmediate) ||\n                         (this && this.clearImmediate);\n","exports.f = Object.getOwnPropertySymbols;\n","// IE 8- don't enum bug keys\nmodule.exports = (\n  'constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf'\n).split(',');\n","var core = require('./_core');\nvar global = require('./_global');\nvar SHARED = '__core-js_shared__';\nvar store = global[SHARED] || (global[SHARED] = {});\n\n(module.exports = function (key, value) {\n  return store[key] || (store[key] = value !== undefined ? value : {});\n})('versions', []).push({\n  version: core.version,\n  mode: require('./_library') ? 'pure' : 'global',\n  copyright: '© 2018 Denis Pushkarev (zloirock.ru)'\n});\n","var shared = require('./_shared')('keys');\nvar uid = require('./_uid');\nmodule.exports = function (key) {\n  return shared[key] || (shared[key] = uid(key));\n};\n","// 7.1.4 ToInteger\nvar ceil = Math.ceil;\nvar floor = Math.floor;\nmodule.exports = function (it) {\n  return isNaN(it = +it) ? 0 : (it > 0 ? floor : ceil)(it);\n};\n","// 7.2.1 RequireObjectCoercible(argument)\nmodule.exports = function (it) {\n  if (it == undefined) throw TypeError(\"Can't call method on  \" + it);\n  return it;\n};\n","// fallback for non-array-like ES3 and non-enumerable old V8 strings\nvar cof = require('./_cof');\n// eslint-disable-next-line no-prototype-builtins\nmodule.exports = Object('z').propertyIsEnumerable(0) ? Object : function (it) {\n  return cof(it) == 'String' ? it.split('') : Object(it);\n};\n","// 7.1.1 ToPrimitive(input [, PreferredType])\nvar isObject = require('./_is-object');\n// instead of the ES6 spec version, we didn't implement @@toPrimitive case\n// and the second argument - flag - preferred type is a string\nmodule.exports = function (it, S) {\n  if (!isObject(it)) return it;\n  var fn, val;\n  if (S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (typeof (fn = it.valueOf) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (!S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  throw TypeError(\"Can't convert object to primitive value\");\n};\n","var isObject = require('./_is-object');\nvar document = require('./_global').document;\n// typeof document.createElement is 'object' in old IE\nvar is = isObject(document) && isObject(document.createElement);\nmodule.exports = function (it) {\n  return is ? document.createElement(it) : {};\n};\n","'use strict';\nvar global = require('./_global');\nvar DESCRIPTORS = require('./_descriptors');\nvar LIBRARY = require('./_library');\nvar $typed = require('./_typed');\nvar hide = require('./_hide');\nvar redefineAll = require('./_redefine-all');\nvar fails = require('./_fails');\nvar anInstance = require('./_an-instance');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar toIndex = require('./_to-index');\nvar gOPN = require('./_object-gopn').f;\nvar dP = require('./_object-dp').f;\nvar arrayFill = require('./_array-fill');\nvar setToStringTag = require('./_set-to-string-tag');\nvar ARRAY_BUFFER = 'ArrayBuffer';\nvar DATA_VIEW = 'DataView';\nvar PROTOTYPE = 'prototype';\nvar WRONG_LENGTH = 'Wrong length!';\nvar WRONG_INDEX = 'Wrong index!';\nvar $ArrayBuffer = global[ARRAY_BUFFER];\nvar $DataView = global[DATA_VIEW];\nvar Math = global.Math;\nvar RangeError = global.RangeError;\n// eslint-disable-next-line no-shadow-restricted-names\nvar Infinity = global.Infinity;\nvar BaseBuffer = $ArrayBuffer;\nvar abs = Math.abs;\nvar pow = Math.pow;\nvar floor = Math.floor;\nvar log = Math.log;\nvar LN2 = Math.LN2;\nvar BUFFER = 'buffer';\nvar BYTE_LENGTH = 'byteLength';\nvar BYTE_OFFSET = 'byteOffset';\nvar $BUFFER = DESCRIPTORS ? '_b' : BUFFER;\nvar $LENGTH = DESCRIPTORS ? '_l' : BYTE_LENGTH;\nvar $OFFSET = DESCRIPTORS ? '_o' : BYTE_OFFSET;\n\n// IEEE754 conversions based on https://github.com/feross/ieee754\nfunction packIEEE754(value, mLen, nBytes) {\n  var buffer = new Array(nBytes);\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var rt = mLen === 23 ? pow(2, -24) - pow(2, -77) : 0;\n  var i = 0;\n  var s = value < 0 || value === 0 && 1 / value < 0 ? 1 : 0;\n  var e, m, c;\n  value = abs(value);\n  // eslint-disable-next-line no-self-compare\n  if (value != value || value === Infinity) {\n    // eslint-disable-next-line no-self-compare\n    m = value != value ? 1 : 0;\n    e = eMax;\n  } else {\n    e = floor(log(value) / LN2);\n    if (value * (c = pow(2, -e)) < 1) {\n      e--;\n      c *= 2;\n    }\n    if (e + eBias >= 1) {\n      value += rt / c;\n    } else {\n      value += rt * pow(2, 1 - eBias);\n    }\n    if (value * c >= 2) {\n      e++;\n      c /= 2;\n    }\n    if (e + eBias >= eMax) {\n      m = 0;\n      e = eMax;\n    } else if (e + eBias >= 1) {\n      m = (value * c - 1) * pow(2, mLen);\n      e = e + eBias;\n    } else {\n      m = value * pow(2, eBias - 1) * pow(2, mLen);\n      e = 0;\n    }\n  }\n  for (; mLen >= 8; buffer[i++] = m & 255, m /= 256, mLen -= 8);\n  e = e << mLen | m;\n  eLen += mLen;\n  for (; eLen > 0; buffer[i++] = e & 255, e /= 256, eLen -= 8);\n  buffer[--i] |= s * 128;\n  return buffer;\n}\nfunction unpackIEEE754(buffer, mLen, nBytes) {\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var nBits = eLen - 7;\n  var i = nBytes - 1;\n  var s = buffer[i--];\n  var e = s & 127;\n  var m;\n  s >>= 7;\n  for (; nBits > 0; e = e * 256 + buffer[i], i--, nBits -= 8);\n  m = e & (1 << -nBits) - 1;\n  e >>= -nBits;\n  nBits += mLen;\n  for (; nBits > 0; m = m * 256 + buffer[i], i--, nBits -= 8);\n  if (e === 0) {\n    e = 1 - eBias;\n  } else if (e === eMax) {\n    return m ? NaN : s ? -Infinity : Infinity;\n  } else {\n    m = m + pow(2, mLen);\n    e = e - eBias;\n  } return (s ? -1 : 1) * m * pow(2, e - mLen);\n}\n\nfunction unpackI32(bytes) {\n  return bytes[3] << 24 | bytes[2] << 16 | bytes[1] << 8 | bytes[0];\n}\nfunction packI8(it) {\n  return [it & 0xff];\n}\nfunction packI16(it) {\n  return [it & 0xff, it >> 8 & 0xff];\n}\nfunction packI32(it) {\n  return [it & 0xff, it >> 8 & 0xff, it >> 16 & 0xff, it >> 24 & 0xff];\n}\nfunction packF64(it) {\n  return packIEEE754(it, 52, 8);\n}\nfunction packF32(it) {\n  return packIEEE754(it, 23, 4);\n}\n\nfunction addGetter(C, key, internal) {\n  dP(C[PROTOTYPE], key, { get: function () { return this[internal]; } });\n}\n\nfunction get(view, bytes, index, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = store.slice(start, start + bytes);\n  return isLittleEndian ? pack : pack.reverse();\n}\nfunction set(view, bytes, index, conversion, value, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = conversion(+value);\n  for (var i = 0; i < bytes; i++) store[start + i] = pack[isLittleEndian ? i : bytes - i - 1];\n}\n\nif (!$typed.ABV) {\n  $ArrayBuffer = function ArrayBuffer(length) {\n    anInstance(this, $ArrayBuffer, ARRAY_BUFFER);\n    var byteLength = toIndex(length);\n    this._b = arrayFill.call(new Array(byteLength), 0);\n    this[$LENGTH] = byteLength;\n  };\n\n  $DataView = function DataView(buffer, byteOffset, byteLength) {\n    anInstance(this, $DataView, DATA_VIEW);\n    anInstance(buffer, $ArrayBuffer, DATA_VIEW);\n    var bufferLength = buffer[$LENGTH];\n    var offset = toInteger(byteOffset);\n    if (offset < 0 || offset > bufferLength) throw RangeError('Wrong offset!');\n    byteLength = byteLength === undefined ? bufferLength - offset : toLength(byteLength);\n    if (offset + byteLength > bufferLength) throw RangeError(WRONG_LENGTH);\n    this[$BUFFER] = buffer;\n    this[$OFFSET] = offset;\n    this[$LENGTH] = byteLength;\n  };\n\n  if (DESCRIPTORS) {\n    addGetter($ArrayBuffer, BYTE_LENGTH, '_l');\n    addGetter($DataView, BUFFER, '_b');\n    addGetter($DataView, BYTE_LENGTH, '_l');\n    addGetter($DataView, BYTE_OFFSET, '_o');\n  }\n\n  redefineAll($DataView[PROTOTYPE], {\n    getInt8: function getInt8(byteOffset) {\n      return get(this, 1, byteOffset)[0] << 24 >> 24;\n    },\n    getUint8: function getUint8(byteOffset) {\n      return get(this, 1, byteOffset)[0];\n    },\n    getInt16: function getInt16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return (bytes[1] << 8 | bytes[0]) << 16 >> 16;\n    },\n    getUint16: function getUint16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return bytes[1] << 8 | bytes[0];\n    },\n    getInt32: function getInt32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1]));\n    },\n    getUint32: function getUint32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1])) >>> 0;\n    },\n    getFloat32: function getFloat32(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 4, byteOffset, arguments[1]), 23, 4);\n    },\n    getFloat64: function getFloat64(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 8, byteOffset, arguments[1]), 52, 8);\n    },\n    setInt8: function setInt8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setInt16: function setInt16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setUint16: function setUint16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setInt32: function setInt32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setUint32: function setUint32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setFloat32: function setFloat32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packF32, value, arguments[2]);\n    },\n    setFloat64: function setFloat64(byteOffset, value /* , littleEndian */) {\n      set(this, 8, byteOffset, packF64, value, arguments[2]);\n    }\n  });\n} else {\n  if (!fails(function () {\n    $ArrayBuffer(1);\n  }) || !fails(function () {\n    new $ArrayBuffer(-1); // eslint-disable-line no-new\n  }) || fails(function () {\n    new $ArrayBuffer(); // eslint-disable-line no-new\n    new $ArrayBuffer(1.5); // eslint-disable-line no-new\n    new $ArrayBuffer(NaN); // eslint-disable-line no-new\n    return $ArrayBuffer.name != ARRAY_BUFFER;\n  })) {\n    $ArrayBuffer = function ArrayBuffer(length) {\n      anInstance(this, $ArrayBuffer);\n      return new BaseBuffer(toIndex(length));\n    };\n    var ArrayBufferProto = $ArrayBuffer[PROTOTYPE] = BaseBuffer[PROTOTYPE];\n    for (var keys = gOPN(BaseBuffer), j = 0, key; keys.length > j;) {\n      if (!((key = keys[j++]) in $ArrayBuffer)) hide($ArrayBuffer, key, BaseBuffer[key]);\n    }\n    if (!LIBRARY) ArrayBufferProto.constructor = $ArrayBuffer;\n  }\n  // iOS Safari 7.x bug\n  var view = new $DataView(new $ArrayBuffer(2));\n  var $setInt8 = $DataView[PROTOTYPE].setInt8;\n  view.setInt8(0, 2147483648);\n  view.setInt8(1, 2147483649);\n  if (view.getInt8(0) || !view.getInt8(1)) redefineAll($DataView[PROTOTYPE], {\n    setInt8: function setInt8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    }\n  }, true);\n}\nsetToStringTag($ArrayBuffer, ARRAY_BUFFER);\nsetToStringTag($DataView, DATA_VIEW);\nhide($DataView[PROTOTYPE], $typed.VIEW, true);\nexports[ARRAY_BUFFER] = $ArrayBuffer;\nexports[DATA_VIEW] = $DataView;\n","'use strict';\n// 25.4.1.5 NewPromiseCapability(C)\nvar aFunction = require('./_a-function');\n\nfunction PromiseCapability(C) {\n  var resolve, reject;\n  this.promise = new C(function ($$resolve, $$reject) {\n    if (resolve !== undefined || reject !== undefined) throw TypeError('Bad Promise constructor');\n    resolve = $$resolve;\n    reject = $$reject;\n  });\n  this.resolve = aFunction(resolve);\n  this.reject = aFunction(reject);\n}\n\nmodule.exports.f = function (C) {\n  return new PromiseCapability(C);\n};\n","var global = require('./_global');\nvar macrotask = require('./_task').set;\nvar Observer = global.MutationObserver || global.WebKitMutationObserver;\nvar process = global.process;\nvar Promise = global.Promise;\nvar isNode = require('./_cof')(process) == 'process';\n\nmodule.exports = function () {\n  var head, last, notify;\n\n  var flush = function () {\n    var parent, fn;\n    if (isNode && (parent = process.domain)) parent.exit();\n    while (head) {\n      fn = head.fn;\n      head = head.next;\n      try {\n        fn();\n      } catch (e) {\n        if (head) notify();\n        else last = undefined;\n        throw e;\n      }\n    } last = undefined;\n    if (parent) parent.enter();\n  };\n\n  // Node.js\n  if (isNode) {\n    notify = function () {\n      process.nextTick(flush);\n    };\n  // browsers with MutationObserver, except iOS Safari - https://github.com/zloirock/core-js/issues/339\n  } else if (Observer && !(global.navigator && global.navigator.standalone)) {\n    var toggle = true;\n    var node = document.createTextNode('');\n    new Observer(flush).observe(node, { characterData: true }); // eslint-disable-line no-new\n    notify = function () {\n      node.data = toggle = !toggle;\n    };\n  // environments with maybe non-completely correct, but existent Promise\n  } else if (Promise && Promise.resolve) {\n    // Promise.resolve without an argument throws an error in LG WebOS 2\n    var promise = Promise.resolve(undefined);\n    notify = function () {\n      promise.then(flush);\n    };\n  // for other environments - macrotask based on:\n  // - setImmediate\n  // - MessageChannel\n  // - window.postMessag\n  // - onreadystatechange\n  // - setTimeout\n  } else {\n    notify = function () {\n      // strange IE + webpack dev server bug - use .call(global)\n      macrotask.call(global, flush);\n    };\n  }\n\n  return function (fn) {\n    var task = { fn: fn, next: undefined };\n    if (last) last.next = task;\n    if (!head) {\n      head = task;\n      notify();\n    } last = task;\n  };\n};\n","var ctx = require('./_ctx');\nvar invoke = require('./_invoke');\nvar html = require('./_html');\nvar cel = require('./_dom-create');\nvar global = require('./_global');\nvar process = global.process;\nvar setTask = global.setImmediate;\nvar clearTask = global.clearImmediate;\nvar MessageChannel = global.MessageChannel;\nvar Dispatch = global.Dispatch;\nvar counter = 0;\nvar queue = {};\nvar ONREADYSTATECHANGE = 'onreadystatechange';\nvar defer, channel, port;\nvar run = function () {\n  var id = +this;\n  // eslint-disable-next-line no-prototype-builtins\n  if (queue.hasOwnProperty(id)) {\n    var fn = queue[id];\n    delete queue[id];\n    fn();\n  }\n};\nvar listener = function (event) {\n  run.call(event.data);\n};\n// Node.js 0.9+ & IE10+ has setImmediate, otherwise:\nif (!setTask || !clearTask) {\n  setTask = function setImmediate(fn) {\n    var args = [];\n    var i = 1;\n    while (arguments.length > i) args.push(arguments[i++]);\n    queue[++counter] = function () {\n      // eslint-disable-next-line no-new-func\n      invoke(typeof fn == 'function' ? fn : Function(fn), args);\n    };\n    defer(counter);\n    return counter;\n  };\n  clearTask = function clearImmediate(id) {\n    delete queue[id];\n  };\n  // Node.js 0.8-\n  if (require('./_cof')(process) == 'process') {\n    defer = function (id) {\n      process.nextTick(ctx(run, id, 1));\n    };\n  // Sphere (JS game engine) Dispatch API\n  } else if (Dispatch && Dispatch.now) {\n    defer = function (id) {\n      Dispatch.now(ctx(run, id, 1));\n    };\n  // Browsers with MessageChannel, includes WebWorkers\n  } else if (MessageChannel) {\n    channel = new MessageChannel();\n    port = channel.port2;\n    channel.port1.onmessage = listener;\n    defer = ctx(port.postMessage, port, 1);\n  // Browsers with postMessage, skip WebWorkers\n  // IE8 has postMessage, but it's sync & typeof its postMessage is 'object'\n  } else if (global.addEventListener && typeof postMessage == 'function' && !global.importScripts) {\n    defer = function (id) {\n      global.postMessage(id + '', '*');\n    };\n    global.addEventListener('message', listener, false);\n  // IE8-\n  } else if (ONREADYSTATECHANGE in cel('script')) {\n    defer = function (id) {\n      html.appendChild(cel('script'))[ONREADYSTATECHANGE] = function () {\n        html.removeChild(this);\n        run.call(id);\n      };\n    };\n  // Rest old browsers\n  } else {\n    defer = function (id) {\n      setTimeout(ctx(run, id, 1), 0);\n    };\n  }\n}\nmodule.exports = {\n  set: setTask,\n  clear: clearTask\n};\n","'use strict';\nvar at = require('./_string-at')(true);\n\n // `AdvanceStringIndex` abstract operation\n// https://tc39.github.io/ecma262/#sec-advancestringindex\nmodule.exports = function (S, index, unicode) {\n  return index + (unicode ? at(S, index).length : 1);\n};\n","'use strict';\n\nvar regexpFlags = require('./_flags');\n\nvar nativeExec = RegExp.prototype.exec;\n// This always refers to the native implementation, because the\n// String#replace polyfill uses ./fix-regexp-well-known-symbol-logic.js,\n// which loads this file before patching the method.\nvar nativeReplace = String.prototype.replace;\n\nvar patchedExec = nativeExec;\n\nvar LAST_INDEX = 'lastIndex';\n\nvar UPDATES_LAST_INDEX_WRONG = (function () {\n  var re1 = /a/,\n      re2 = /b*/g;\n  nativeExec.call(re1, 'a');\n  nativeExec.call(re2, 'a');\n  return re1[LAST_INDEX] !== 0 || re2[LAST_INDEX] !== 0;\n})();\n\n// nonparticipating capturing group, copied from es5-shim's String#split patch.\nvar NPCG_INCLUDED = /()??/.exec('')[1] !== undefined;\n\nvar PATCH = UPDATES_LAST_INDEX_WRONG || NPCG_INCLUDED;\n\nif (PATCH) {\n  patchedExec = function exec(str) {\n    var re = this;\n    var lastIndex, reCopy, match, i;\n\n    if (NPCG_INCLUDED) {\n      reCopy = new RegExp('^' + re.source + '$(?!\\\\s)', regexpFlags.call(re));\n    }\n    if (UPDATES_LAST_INDEX_WRONG) lastIndex = re[LAST_INDEX];\n\n    match = nativeExec.call(re, str);\n\n    if (UPDATES_LAST_INDEX_WRONG && match) {\n      re[LAST_INDEX] = re.global ? match.index + match[0].length : lastIndex;\n    }\n    if (NPCG_INCLUDED && match && match.length > 1) {\n      // Fix browsers whose `exec` methods don't consistently return `undefined`\n      // for NPCG, like IE8. NOTE: This doesn' work for /(.?)?/\n      // eslint-disable-next-line no-loop-func\n      nativeReplace.call(match[0], reCopy, function () {\n        for (i = 1; i < arguments.length - 2; i++) {\n          if (arguments[i] === undefined) match[i] = undefined;\n        }\n      });\n    }\n\n    return match;\n  };\n}\n\nmodule.exports = patchedExec;\n","'use strict';\nvar addToUnscopables = require('./_add-to-unscopables');\nvar step = require('./_iter-step');\nvar Iterators = require('./_iterators');\nvar toIObject = require('./_to-iobject');\n\n// 22.1.3.4 Array.prototype.entries()\n// 22.1.3.13 Array.prototype.keys()\n// 22.1.3.29 Array.prototype.values()\n// 22.1.3.30 Array.prototype[@@iterator]()\nmodule.exports = require('./_iter-define')(Array, 'Array', function (iterated, kind) {\n  this._t = toIObject(iterated); // target\n  this._i = 0;                   // next index\n  this._k = kind;                // kind\n// 22.1.5.2.1 %ArrayIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var kind = this._k;\n  var index = this._i++;\n  if (!O || index >= O.length) {\n    this._t = undefined;\n    return step(1);\n  }\n  if (kind == 'keys') return step(0, index);\n  if (kind == 'values') return step(0, O[index]);\n  return step(0, [index, O[index]]);\n}, 'values');\n\n// argumentsList[@@iterator] is %ArrayProto_values% (9.4.4.6, 9.4.4.7)\nIterators.Arguments = Iterators.Array;\n\naddToUnscopables('keys');\naddToUnscopables('values');\naddToUnscopables('entries');\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nmodule.exports = function fill(value /* , start = 0, end = @length */) {\n  var O = toObject(this);\n  var length = toLength(O.length);\n  var aLen = arguments.length;\n  var index = toAbsoluteIndex(aLen > 1 ? arguments[1] : undefined, length);\n  var end = aLen > 2 ? arguments[2] : undefined;\n  var endPos = end === undefined ? length : toAbsoluteIndex(end, length);\n  while (endPos > index) O[index++] = value;\n  return O;\n};\n","// 9.4.2.3 ArraySpeciesCreate(originalArray, length)\nvar speciesConstructor = require('./_array-species-constructor');\n\nmodule.exports = function (original, length) {\n  return new (speciesConstructor(original))(length);\n};\n","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').getIteratorMethod = function (it) {\n  if (it != undefined) return it[ITERATOR]\n    || it['@@iterator']\n    || Iterators[classof(it)];\n};\n","'use strict';\nvar $defineProperty = require('./_object-dp');\nvar createDesc = require('./_property-desc');\n\nmodule.exports = function (object, index, value) {\n  if (index in object) $defineProperty.f(object, index, createDesc(0, value));\n  else object[index] = value;\n};\n","// check on default Array iterator\nvar Iterators = require('./_iterators');\nvar ITERATOR = require('./_wks')('iterator');\nvar ArrayProto = Array.prototype;\n\nmodule.exports = function (it) {\n  return it !== undefined && (Iterators.Array === it || ArrayProto[ITERATOR] === it);\n};\n","var MATCH = require('./_wks')('match');\nmodule.exports = function (KEY) {\n  var re = /./;\n  try {\n    '/./'[KEY](re);\n  } catch (e) {\n    try {\n      re[MATCH] = false;\n      return !'/./'[KEY](re);\n    } catch (f) { /* empty */ }\n  } return true;\n};\n","// helper for String#{startsWith, endsWith, includes}\nvar isRegExp = require('./_is-regexp');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, searchString, NAME) {\n  if (isRegExp(searchString)) throw TypeError('String#' + NAME + \" doesn't accept regex!\");\n  return String(defined(that));\n};\n","'use strict';\nvar create = require('./_object-create');\nvar descriptor = require('./_property-desc');\nvar setToStringTag = require('./_set-to-string-tag');\nvar IteratorPrototype = {};\n\n// 25.1.2.1.1 %IteratorPrototype%[@@iterator]()\nrequire('./_hide')(IteratorPrototype, require('./_wks')('iterator'), function () { return this; });\n\nmodule.exports = function (Constructor, NAME, next) {\n  Constructor.prototype = create(IteratorPrototype, { next: descriptor(1, next) });\n  setToStringTag(Constructor, NAME + ' Iterator');\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar $iterCreate = require('./_iter-create');\nvar setToStringTag = require('./_set-to-string-tag');\nvar getPrototypeOf = require('./_object-gpo');\nvar ITERATOR = require('./_wks')('iterator');\nvar BUGGY = !([].keys && 'next' in [].keys()); // Safari has buggy iterators w/o `next`\nvar FF_ITERATOR = '@@iterator';\nvar KEYS = 'keys';\nvar VALUES = 'values';\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (Base, NAME, Constructor, next, DEFAULT, IS_SET, FORCED) {\n  $iterCreate(Constructor, NAME, next);\n  var getMethod = function (kind) {\n    if (!BUGGY && kind in proto) return proto[kind];\n    switch (kind) {\n      case KEYS: return function keys() { return new Constructor(this, kind); };\n      case VALUES: return function values() { return new Constructor(this, kind); };\n    } return function entries() { return new Constructor(this, kind); };\n  };\n  var TAG = NAME + ' Iterator';\n  var DEF_VALUES = DEFAULT == VALUES;\n  var VALUES_BUG = false;\n  var proto = Base.prototype;\n  var $native = proto[ITERATOR] || proto[FF_ITERATOR] || DEFAULT && proto[DEFAULT];\n  var $default = $native || getMethod(DEFAULT);\n  var $entries = DEFAULT ? !DEF_VALUES ? $default : getMethod('entries') : undefined;\n  var $anyNative = NAME == 'Array' ? proto.entries || $native : $native;\n  var methods, key, IteratorPrototype;\n  // Fix native\n  if ($anyNative) {\n    IteratorPrototype = getPrototypeOf($anyNative.call(new Base()));\n    if (IteratorPrototype !== Object.prototype && IteratorPrototype.next) {\n      // Set @@toStringTag to native iterators\n      setToStringTag(IteratorPrototype, TAG, true);\n      // fix for some old engines\n      if (!LIBRARY && typeof IteratorPrototype[ITERATOR] != 'function') hide(IteratorPrototype, ITERATOR, returnThis);\n    }\n  }\n  // fix Array#{values, @@iterator}.name in V8 / FF\n  if (DEF_VALUES && $native && $native.name !== VALUES) {\n    VALUES_BUG = true;\n    $default = function values() { return $native.call(this); };\n  }\n  // Define iterator\n  if ((!LIBRARY || FORCED) && (BUGGY || VALUES_BUG || !proto[ITERATOR])) {\n    hide(proto, ITERATOR, $default);\n  }\n  // Plug for library\n  Iterators[NAME] = $default;\n  Iterators[TAG] = returnThis;\n  if (DEFAULT) {\n    methods = {\n      values: DEF_VALUES ? $default : getMethod(VALUES),\n      keys: IS_SET ? $default : getMethod(KEYS),\n      entries: $entries\n    };\n    if (FORCED) for (key in methods) {\n      if (!(key in proto)) redefine(proto, key, methods[key]);\n    } else $export($export.P + $export.F * (BUGGY || VALUES_BUG), NAME, methods);\n  }\n  return methods;\n};\n","// 20.2.2.14 Math.expm1(x)\nvar $expm1 = Math.expm1;\nmodule.exports = (!$expm1\n  // Old FF bug\n  || $expm1(10) > 22025.465794806719 || $expm1(10) < 22025.4657948067165168\n  // Tor Browser bug\n  || $expm1(-2e-17) != -2e-17\n) ? function expm1(x) {\n  return (x = +x) == 0 ? x : x > -1e-6 && x < 1e-6 ? x + x * x / 2 : Math.exp(x) - 1;\n} : $expm1;\n","// 20.2.2.28 Math.sign(x)\nmodule.exports = Math.sign || function sign(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) == 0 || x != x ? x : x < 0 ? -1 : 1;\n};\n","'use strict';\nvar toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n\nmodule.exports = function repeat(count) {\n  var str = String(defined(this));\n  var res = '';\n  var n = toInteger(count);\n  if (n < 0 || n == Infinity) throw RangeError(\"Count can't be negative\");\n  for (;n > 0; (n >>>= 1) && (str += str)) if (n & 1) res += str;\n  return res;\n};\n","var isObject = require('./_is-object');\nvar setPrototypeOf = require('./_set-proto').set;\nmodule.exports = function (that, target, C) {\n  var S = target.constructor;\n  var P;\n  if (S !== C && typeof S == 'function' && (P = S.prototype) !== C.prototype && isObject(P) && setPrototypeOf) {\n    setPrototypeOf(that, P);\n  } return that;\n};\n","module.exports = '\\x09\\x0A\\x0B\\x0C\\x0D\\x20\\xA0\\u1680\\u180E\\u2000\\u2001\\u2002\\u2003' +\n  '\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200A\\u202F\\u205F\\u3000\\u2028\\u2029\\uFEFF';\n","// Works with __proto__ only. Old v8 can't work with null proto objects.\n/* eslint-disable no-proto */\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\nvar check = function (O, proto) {\n  anObject(O);\n  if (!isObject(proto) && proto !== null) throw TypeError(proto + \": can't set as prototype!\");\n};\nmodule.exports = {\n  set: Object.setPrototypeOf || ('__proto__' in {} ? // eslint-disable-line\n    function (test, buggy, set) {\n      try {\n        set = require('./_ctx')(Function.call, require('./_object-gopd').f(Object.prototype, '__proto__').set, 2);\n        set(test, []);\n        buggy = !(test instanceof Array);\n      } catch (e) { buggy = true; }\n      return function setPrototypeOf(O, proto) {\n        check(O, proto);\n        if (buggy) O.__proto__ = proto;\n        else set(O, proto);\n        return O;\n      };\n    }({}, false) : undefined),\n  check: check\n};\n","var document = require('./_global').document;\nmodule.exports = document && document.documentElement;\n","// IE 8- don't enum bug keys\nmodule.exports = (\n  'constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf'\n).split(',');\n","var shared = require('./_shared')('keys');\nvar uid = require('./_uid');\nmodule.exports = function (key) {\n  return shared[key] || (shared[key] = uid(key));\n};\n","var global = require('./_global');\nvar core = require('./_core');\nvar LIBRARY = require('./_library');\nvar wksExt = require('./_wks-ext');\nvar defineProperty = require('./_object-dp').f;\nmodule.exports = function (name) {\n  var $Symbol = core.Symbol || (core.Symbol = LIBRARY ? {} : global.Symbol || {});\n  if (name.charAt(0) != '_' && !(name in $Symbol)) defineProperty($Symbol, name, { value: wksExt.f(name) });\n};\n","var isObject = require('./_is-object');\nvar document = require('./_global').document;\n// typeof document.createElement is 'object' in old IE\nvar is = isObject(document) && isObject(document.createElement);\nmodule.exports = function (it) {\n  return is ? document.createElement(it) : {};\n};\n","var isObject = require('./_is-object');\nmodule.exports = function (it, TYPE) {\n  if (!isObject(it) || it._t !== TYPE) throw TypeError('Incompatible receiver, ' + TYPE + ' required!');\n  return it;\n};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\n\nconst MANIFEST_FILE = 'manifest.json';\n\nexport default class CheckpointLoader {\n  constructor(urlPath) {\n    this.urlPath = urlPath;\n    if (this.urlPath.charAt(this.urlPath.length - 1) !== '/') {\n      this.urlPath += '/';\n    }\n  }\n\n  async loadManifest() {\n    return new Promise((resolve, reject) => {\n      const xhr = new XMLHttpRequest();\n      xhr.open('GET', this.urlPath + MANIFEST_FILE);\n\n      xhr.onload = () => {\n        this.checkpointManifest = JSON.parse(xhr.responseText);\n        resolve();\n      };\n      xhr.onerror = (error) => {\n        reject();\n        throw new Error(`${MANIFEST_FILE} not found at ${this.urlPath}. ${error}`);\n      };\n      xhr.send();\n    });\n  }\n\n\n  async getCheckpointManifest() {\n    if (this.checkpointManifest == null) {\n      await this.loadManifest();\n    }\n    return this.checkpointManifest;\n  }\n\n  async getAllVariables() {\n    if (this.variables != null) {\n      return Promise.resolve(this.variables);\n    }\n    await this.getCheckpointManifest();\n    const variableNames = Object.keys(this.checkpointManifest);\n    const variablePromises = variableNames.map(v => this.getVariable(v));\n    return Promise.all(variablePromises).then((variables) => {\n      this.variables = {};\n      for (let i = 0; i < variables.length; i += 1) {\n        this.variables[variableNames[i]] = variables[i];\n      }\n      return this.variables;\n    });\n  }\n  getVariable(varName) {\n    if (!(varName in this.checkpointManifest)) {\n      throw new Error(`Cannot load non-existent variable ${varName}`);\n    }\n    const variableRequestPromiseMethod = (resolve) => {\n      const xhr = new XMLHttpRequest();\n      xhr.responseType = 'arraybuffer';\n      const fname = this.checkpointManifest[varName].filename;\n      xhr.open('GET', this.urlPath + fname);\n      xhr.onload = () => {\n        if (xhr.status === 404) {\n          throw new Error(`Not found variable ${varName}`);\n        }\n        const values = new Float32Array(xhr.response);\n        const tensor = tf.Tensor.make(this.checkpointManifest[varName].shape, { values });\n        resolve(tensor);\n      };\n      xhr.onerror = (error) => {\n        throw new Error(`Could not fetch variable ${varName}: ${error}`);\n      };\n      xhr.send();\n    };\n    if (this.checkpointManifest == null) {\n      return new Promise((resolve) => {\n        this.loadManifest().then(() => {\n          new Promise(variableRequestPromiseMethod).then(resolve);\n        });\n      });\n    }\n    return new Promise(variableRequestPromiseMethod);\n  }\n}\n","module.exports = { \"default\": require(\"core-js/library/fn/array/from\"), __esModule: true };","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nconst saveBlob = async (data, name, type) => {\n  const link = document.createElement('a');\n  link.style.display = 'none';\n  document.body.appendChild(link);\n  const blob = new Blob([data], { type });\n  link.href = URL.createObjectURL(blob);\n  link.download = name;\n  link.click();\n};\n\nconst loadFile = async (path, callback) => fetch(path)\n  .then(response => response.json())\n  .then((json) => {\n    callback(null, json);\n    return json;\n  })\n  .catch((error) => {\n    callback(error);\n    console.error(`There has been a problem loading the file: ${error.message}`);\n    throw error;\n  });\n\nexport {\n  saveBlob,\n  loadFile,\n};\n","// most Object methods by ES6 should accept primitives\nvar $export = require('./_export');\nvar core = require('./_core');\nvar fails = require('./_fails');\nmodule.exports = function (KEY, exec) {\n  var fn = (core.Object || {})[KEY] || Object[KEY];\n  var exp = {};\n  exp[KEY] = exec(fn);\n  $export($export.S + $export.F * fails(function () { fn(1); }), 'Object', exp);\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/json/stringify\"), __esModule: true };","// @tensorflow/tfjs-models Copyright 2018 Google\nimport*as tf from\"@tensorflow/tfjs\";import{scalar,loadModel,tidy,zeros,Tensor,fromPixels,image,model}from\"@tensorflow/tfjs\";function __awaiter(e,a,r,o){return new(r||(r=Promise))(function(i,t){function n(e){try{l(o.next(e))}catch(e){t(e)}}function s(e){try{l(o.throw(e))}catch(e){t(e)}}function l(e){e.done?i(e.value):new r(function(a){a(e.value)}).then(n,s)}l((o=o.apply(e,a||[])).next())})}function __generator(e,a){var r,o,i,t,n={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return t={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(t[Symbol.iterator]=function(){return this}),t;function s(t){return function(s){return function(t){if(r)throw new TypeError(\"Generator is already executing.\");for(;n;)try{if(r=1,o&&(i=2&t[0]?o.return:t[0]?o.throw||((i=o.return)&&i.call(o),0):o.next)&&!(i=i.call(o,t[1])).done)return i;switch(o=0,i&&(t=[2&t[0],i.value]),t[0]){case 0:case 1:i=t;break;case 4:return n.label++,{value:t[1],done:!1};case 5:n.label++,o=t[1],t=[0];continue;case 7:t=n.ops.pop(),n.trys.pop();continue;default:if(!(i=(i=n.trys).length>0&&i[i.length-1])&&(6===t[0]||2===t[0])){n=0;continue}if(3===t[0]&&(!i||t[1]>i[0]&&t[1]<i[3])){n.label=t[1];break}if(6===t[0]&&n.label<i[1]){n.label=i[1],i=t;break}if(i&&n.label<i[2]){n.label=i[2],n.ops.push(t);break}i[2]&&n.ops.pop(),n.trys.pop();continue}t=a.call(e,n)}catch(e){t=[6,e],o=0}finally{r=i=0}if(5&t[0])throw t[1];return{value:t[0]?t[1]:void 0,done:!0}}([t,s])}}}var IMAGENET_CLASSES={0:\"tench, Tinca tinca\",1:\"goldfish, Carassius auratus\",2:\"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\",3:\"tiger shark, Galeocerdo cuvieri\",4:\"hammerhead, hammerhead shark\",5:\"electric ray, crampfish, numbfish, torpedo\",6:\"stingray\",7:\"cock\",8:\"hen\",9:\"ostrich, Struthio camelus\",10:\"brambling, Fringilla montifringilla\",11:\"goldfinch, Carduelis carduelis\",12:\"house finch, linnet, Carpodacus mexicanus\",13:\"junco, snowbird\",14:\"indigo bunting, indigo finch, indigo bird, Passerina cyanea\",15:\"robin, American robin, Turdus migratorius\",16:\"bulbul\",17:\"jay\",18:\"magpie\",19:\"chickadee\",20:\"water ouzel, dipper\",21:\"kite\",22:\"bald eagle, American eagle, Haliaeetus leucocephalus\",23:\"vulture\",24:\"great grey owl, great gray owl, Strix nebulosa\",25:\"European fire salamander, Salamandra salamandra\",26:\"common newt, Triturus vulgaris\",27:\"eft\",28:\"spotted salamander, Ambystoma maculatum\",29:\"axolotl, mud puppy, Ambystoma mexicanum\",30:\"bullfrog, Rana catesbeiana\",31:\"tree frog, tree-frog\",32:\"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui\",33:\"loggerhead, loggerhead turtle, Caretta caretta\",34:\"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea\",35:\"mud turtle\",36:\"terrapin\",37:\"box turtle, box tortoise\",38:\"banded gecko\",39:\"common iguana, iguana, Iguana iguana\",40:\"American chameleon, anole, Anolis carolinensis\",41:\"whiptail, whiptail lizard\",42:\"agama\",43:\"frilled lizard, Chlamydosaurus kingi\",44:\"alligator lizard\",45:\"Gila monster, Heloderma suspectum\",46:\"green lizard, Lacerta viridis\",47:\"African chameleon, Chamaeleo chamaeleon\",48:\"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis\",49:\"African crocodile, Nile crocodile, Crocodylus niloticus\",50:\"American alligator, Alligator mississipiensis\",51:\"triceratops\",52:\"thunder snake, worm snake, Carphophis amoenus\",53:\"ringneck snake, ring-necked snake, ring snake\",54:\"hognose snake, puff adder, sand viper\",55:\"green snake, grass snake\",56:\"king snake, kingsnake\",57:\"garter snake, grass snake\",58:\"water snake\",59:\"vine snake\",60:\"night snake, Hypsiglena torquata\",61:\"boa constrictor, Constrictor constrictor\",62:\"rock python, rock snake, Python sebae\",63:\"Indian cobra, Naja naja\",64:\"green mamba\",65:\"sea snake\",66:\"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus\",67:\"diamondback, diamondback rattlesnake, Crotalus adamanteus\",68:\"sidewinder, horned rattlesnake, Crotalus cerastes\",69:\"trilobite\",70:\"harvestman, daddy longlegs, Phalangium opilio\",71:\"scorpion\",72:\"black and gold garden spider, Argiope aurantia\",73:\"barn spider, Araneus cavaticus\",74:\"garden spider, Aranea diademata\",75:\"black widow, Latrodectus mactans\",76:\"tarantula\",77:\"wolf spider, hunting spider\",78:\"tick\",79:\"centipede\",80:\"black grouse\",81:\"ptarmigan\",82:\"ruffed grouse, partridge, Bonasa umbellus\",83:\"prairie chicken, prairie grouse, prairie fowl\",84:\"peacock\",85:\"quail\",86:\"partridge\",87:\"African grey, African gray, Psittacus erithacus\",88:\"macaw\",89:\"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita\",90:\"lorikeet\",91:\"coucal\",92:\"bee eater\",93:\"hornbill\",94:\"hummingbird\",95:\"jacamar\",96:\"toucan\",97:\"drake\",98:\"red-breasted merganser, Mergus serrator\",99:\"goose\",100:\"black swan, Cygnus atratus\",101:\"tusker\",102:\"echidna, spiny anteater, anteater\",103:\"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus\",104:\"wallaby, brush kangaroo\",105:\"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus\",106:\"wombat\",107:\"jelly fish\",108:\"sea anemone, anemone\",109:\"brain coral\",110:\"flatworm, platyhelminth\",111:\"nematode, nematode worm, roundworm\",112:\"conch\",113:\"snail\",114:\"slug\",115:\"sea slug, nudibranch\",116:\"chiton, coat-of-mail shell, sea cradle, polyplacophore\",117:\"chambered nautilus, pearly nautilus, nautilus\",118:\"Dungeness crab, Cancer magister\",119:\"rock crab, Cancer irroratus\",120:\"fiddler crab\",121:\"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica\",122:\"American lobster, Northern lobster, Maine lobster, Homarus americanus\",123:\"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish\",124:\"crayfish, crawfish, crawdad, crawdaddy\",125:\"hermit crab\",126:\"isopod\",127:\"white stork, Ciconia ciconia\",128:\"black stork, Ciconia nigra\",129:\"spoonbill\",130:\"flamingo\",131:\"little blue heron, Egretta caerulea\",132:\"American egret, great white heron, Egretta albus\",133:\"bittern\",134:\"crane\",135:\"limpkin, Aramus pictus\",136:\"European gallinule, Porphyrio porphyrio\",137:\"American coot, marsh hen, mud hen, water hen, Fulica americana\",138:\"bustard\",139:\"ruddy turnstone, Arenaria interpres\",140:\"red-backed sandpiper, dunlin, Erolia alpina\",141:\"redshank, Tringa totanus\",142:\"dowitcher\",143:\"oystercatcher, oyster catcher\",144:\"pelican\",145:\"king penguin, Aptenodytes patagonica\",146:\"albatross, mollymawk\",147:\"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus\",148:\"killer whale, killer, orca, grampus, sea wolf, Orcinus orca\",149:\"dugong, Dugong dugon\",150:\"sea lion\",151:\"Chihuahua\",152:\"Japanese spaniel\",153:\"Maltese dog, Maltese terrier, Maltese\",154:\"Pekinese, Pekingese, Peke\",155:\"Shih-Tzu\",156:\"Blenheim spaniel\",157:\"papillon\",158:\"toy terrier\",159:\"Rhodesian ridgeback\",160:\"Afghan hound, Afghan\",161:\"basset, basset hound\",162:\"beagle\",163:\"bloodhound, sleuthhound\",164:\"bluetick\",165:\"black-and-tan coonhound\",166:\"Walker hound, Walker foxhound\",167:\"English foxhound\",168:\"redbone\",169:\"borzoi, Russian wolfhound\",170:\"Irish wolfhound\",171:\"Italian greyhound\",172:\"whippet\",173:\"Ibizan hound, Ibizan Podenco\",174:\"Norwegian elkhound, elkhound\",175:\"otterhound, otter hound\",176:\"Saluki, gazelle hound\",177:\"Scottish deerhound, deerhound\",178:\"Weimaraner\",179:\"Staffordshire bullterrier, Staffordshire bull terrier\",180:\"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier\",181:\"Bedlington terrier\",182:\"Border terrier\",183:\"Kerry blue terrier\",184:\"Irish terrier\",185:\"Norfolk terrier\",186:\"Norwich terrier\",187:\"Yorkshire terrier\",188:\"wire-haired fox terrier\",189:\"Lakeland terrier\",190:\"Sealyham terrier, Sealyham\",191:\"Airedale, Airedale terrier\",192:\"cairn, cairn terrier\",193:\"Australian terrier\",194:\"Dandie Dinmont, Dandie Dinmont terrier\",195:\"Boston bull, Boston terrier\",196:\"miniature schnauzer\",197:\"giant schnauzer\",198:\"standard schnauzer\",199:\"Scotch terrier, Scottish terrier, Scottie\",200:\"Tibetan terrier, chrysanthemum dog\",201:\"silky terrier, Sydney silky\",202:\"soft-coated wheaten terrier\",203:\"West Highland white terrier\",204:\"Lhasa, Lhasa apso\",205:\"flat-coated retriever\",206:\"curly-coated retriever\",207:\"golden retriever\",208:\"Labrador retriever\",209:\"Chesapeake Bay retriever\",210:\"German short-haired pointer\",211:\"vizsla, Hungarian pointer\",212:\"English setter\",213:\"Irish setter, red setter\",214:\"Gordon setter\",215:\"Brittany spaniel\",216:\"clumber, clumber spaniel\",217:\"English springer, English springer spaniel\",218:\"Welsh springer spaniel\",219:\"cocker spaniel, English cocker spaniel, cocker\",220:\"Sussex spaniel\",221:\"Irish water spaniel\",222:\"kuvasz\",223:\"schipperke\",224:\"groenendael\",225:\"malinois\",226:\"briard\",227:\"kelpie\",228:\"komondor\",229:\"Old English sheepdog, bobtail\",230:\"Shetland sheepdog, Shetland sheep dog, Shetland\",231:\"collie\",232:\"Border collie\",233:\"Bouvier des Flandres, Bouviers des Flandres\",234:\"Rottweiler\",235:\"German shepherd, German shepherd dog, German police dog, alsatian\",236:\"Doberman, Doberman pinscher\",237:\"miniature pinscher\",238:\"Greater Swiss Mountain dog\",239:\"Bernese mountain dog\",240:\"Appenzeller\",241:\"EntleBucher\",242:\"boxer\",243:\"bull mastiff\",244:\"Tibetan mastiff\",245:\"French bulldog\",246:\"Great Dane\",247:\"Saint Bernard, St Bernard\",248:\"Eskimo dog, husky\",249:\"malamute, malemute, Alaskan malamute\",250:\"Siberian husky\",251:\"dalmatian, coach dog, carriage dog\",252:\"affenpinscher, monkey pinscher, monkey dog\",253:\"basenji\",254:\"pug, pug-dog\",255:\"Leonberg\",256:\"Newfoundland, Newfoundland dog\",257:\"Great Pyrenees\",258:\"Samoyed, Samoyede\",259:\"Pomeranian\",260:\"chow, chow chow\",261:\"keeshond\",262:\"Brabancon griffon\",263:\"Pembroke, Pembroke Welsh corgi\",264:\"Cardigan, Cardigan Welsh corgi\",265:\"toy poodle\",266:\"miniature poodle\",267:\"standard poodle\",268:\"Mexican hairless\",269:\"timber wolf, grey wolf, gray wolf, Canis lupus\",270:\"white wolf, Arctic wolf, Canis lupus tundrarum\",271:\"red wolf, maned wolf, Canis rufus, Canis niger\",272:\"coyote, prairie wolf, brush wolf, Canis latrans\",273:\"dingo, warrigal, warragal, Canis dingo\",274:\"dhole, Cuon alpinus\",275:\"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus\",276:\"hyena, hyaena\",277:\"red fox, Vulpes vulpes\",278:\"kit fox, Vulpes macrotis\",279:\"Arctic fox, white fox, Alopex lagopus\",280:\"grey fox, gray fox, Urocyon cinereoargenteus\",281:\"tabby, tabby cat\",282:\"tiger cat\",283:\"Persian cat\",284:\"Siamese cat, Siamese\",285:\"Egyptian cat\",286:\"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor\",287:\"lynx, catamount\",288:\"leopard, Panthera pardus\",289:\"snow leopard, ounce, Panthera uncia\",290:\"jaguar, panther, Panthera onca, Felis onca\",291:\"lion, king of beasts, Panthera leo\",292:\"tiger, Panthera tigris\",293:\"cheetah, chetah, Acinonyx jubatus\",294:\"brown bear, bruin, Ursus arctos\",295:\"American black bear, black bear, Ursus americanus, Euarctos americanus\",296:\"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus\",297:\"sloth bear, Melursus ursinus, Ursus ursinus\",298:\"mongoose\",299:\"meerkat, mierkat\",300:\"tiger beetle\",301:\"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle\",302:\"ground beetle, carabid beetle\",303:\"long-horned beetle, longicorn, longicorn beetle\",304:\"leaf beetle, chrysomelid\",305:\"dung beetle\",306:\"rhinoceros beetle\",307:\"weevil\",308:\"fly\",309:\"bee\",310:\"ant, emmet, pismire\",311:\"grasshopper, hopper\",312:\"cricket\",313:\"walking stick, walkingstick, stick insect\",314:\"cockroach, roach\",315:\"mantis, mantid\",316:\"cicada, cicala\",317:\"leafhopper\",318:\"lacewing, lacewing fly\",319:\"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk\",320:\"damselfly\",321:\"admiral\",322:\"ringlet, ringlet butterfly\",323:\"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus\",324:\"cabbage butterfly\",325:\"sulphur butterfly, sulfur butterfly\",326:\"lycaenid, lycaenid butterfly\",327:\"starfish, sea star\",328:\"sea urchin\",329:\"sea cucumber, holothurian\",330:\"wood rabbit, cottontail, cottontail rabbit\",331:\"hare\",332:\"Angora, Angora rabbit\",333:\"hamster\",334:\"porcupine, hedgehog\",335:\"fox squirrel, eastern fox squirrel, Sciurus niger\",336:\"marmot\",337:\"beaver\",338:\"guinea pig, Cavia cobaya\",339:\"sorrel\",340:\"zebra\",341:\"hog, pig, grunter, squealer, Sus scrofa\",342:\"wild boar, boar, Sus scrofa\",343:\"warthog\",344:\"hippopotamus, hippo, river horse, Hippopotamus amphibius\",345:\"ox\",346:\"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis\",347:\"bison\",348:\"ram, tup\",349:\"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis\",350:\"ibex, Capra ibex\",351:\"hartebeest\",352:\"impala, Aepyceros melampus\",353:\"gazelle\",354:\"Arabian camel, dromedary, Camelus dromedarius\",355:\"llama\",356:\"weasel\",357:\"mink\",358:\"polecat, fitch, foulmart, foumart, Mustela putorius\",359:\"black-footed ferret, ferret, Mustela nigripes\",360:\"otter\",361:\"skunk, polecat, wood pussy\",362:\"badger\",363:\"armadillo\",364:\"three-toed sloth, ai, Bradypus tridactylus\",365:\"orangutan, orang, orangutang, Pongo pygmaeus\",366:\"gorilla, Gorilla gorilla\",367:\"chimpanzee, chimp, Pan troglodytes\",368:\"gibbon, Hylobates lar\",369:\"siamang, Hylobates syndactylus, Symphalangus syndactylus\",370:\"guenon, guenon monkey\",371:\"patas, hussar monkey, Erythrocebus patas\",372:\"baboon\",373:\"macaque\",374:\"langur\",375:\"colobus, colobus monkey\",376:\"proboscis monkey, Nasalis larvatus\",377:\"marmoset\",378:\"capuchin, ringtail, Cebus capucinus\",379:\"howler monkey, howler\",380:\"titi, titi monkey\",381:\"spider monkey, Ateles geoffroyi\",382:\"squirrel monkey, Saimiri sciureus\",383:\"Madagascar cat, ring-tailed lemur, Lemur catta\",384:\"indri, indris, Indri indri, Indri brevicaudatus\",385:\"Indian elephant, Elephas maximus\",386:\"African elephant, Loxodonta africana\",387:\"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens\",388:\"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca\",389:\"barracouta, snoek\",390:\"eel\",391:\"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch\",392:\"rock beauty, Holocanthus tricolor\",393:\"anemone fish\",394:\"sturgeon\",395:\"gar, garfish, garpike, billfish, Lepisosteus osseus\",396:\"lionfish\",397:\"puffer, pufferfish, blowfish, globefish\",398:\"abacus\",399:\"abaya\",400:\"academic gown, academic robe, judge's robe\",401:\"accordion, piano accordion, squeeze box\",402:\"acoustic guitar\",403:\"aircraft carrier, carrier, flattop, attack aircraft carrier\",404:\"airliner\",405:\"airship, dirigible\",406:\"altar\",407:\"ambulance\",408:\"amphibian, amphibious vehicle\",409:\"analog clock\",410:\"apiary, bee house\",411:\"apron\",412:\"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin\",413:\"assault rifle, assault gun\",414:\"backpack, back pack, knapsack, packsack, rucksack, haversack\",415:\"bakery, bakeshop, bakehouse\",416:\"balance beam, beam\",417:\"balloon\",418:\"ballpoint, ballpoint pen, ballpen, Biro\",419:\"Band Aid\",420:\"banjo\",421:\"bannister, banister, balustrade, balusters, handrail\",422:\"barbell\",423:\"barber chair\",424:\"barbershop\",425:\"barn\",426:\"barometer\",427:\"barrel, cask\",428:\"barrow, garden cart, lawn cart, wheelbarrow\",429:\"baseball\",430:\"basketball\",431:\"bassinet\",432:\"bassoon\",433:\"bathing cap, swimming cap\",434:\"bath towel\",435:\"bathtub, bathing tub, bath, tub\",436:\"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon\",437:\"beacon, lighthouse, beacon light, pharos\",438:\"beaker\",439:\"bearskin, busby, shako\",440:\"beer bottle\",441:\"beer glass\",442:\"bell cote, bell cot\",443:\"bib\",444:\"bicycle-built-for-two, tandem bicycle, tandem\",445:\"bikini, two-piece\",446:\"binder, ring-binder\",447:\"binoculars, field glasses, opera glasses\",448:\"birdhouse\",449:\"boathouse\",450:\"bobsled, bobsleigh, bob\",451:\"bolo tie, bolo, bola tie, bola\",452:\"bonnet, poke bonnet\",453:\"bookcase\",454:\"bookshop, bookstore, bookstall\",455:\"bottlecap\",456:\"bow\",457:\"bow tie, bow-tie, bowtie\",458:\"brass, memorial tablet, plaque\",459:\"brassiere, bra, bandeau\",460:\"breakwater, groin, groyne, mole, bulwark, seawall, jetty\",461:\"breastplate, aegis, egis\",462:\"broom\",463:\"bucket, pail\",464:\"buckle\",465:\"bulletproof vest\",466:\"bullet train, bullet\",467:\"butcher shop, meat market\",468:\"cab, hack, taxi, taxicab\",469:\"caldron, cauldron\",470:\"candle, taper, wax light\",471:\"cannon\",472:\"canoe\",473:\"can opener, tin opener\",474:\"cardigan\",475:\"car mirror\",476:\"carousel, carrousel, merry-go-round, roundabout, whirligig\",477:\"carpenter's kit, tool kit\",478:\"carton\",479:\"car wheel\",480:\"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM\",481:\"cassette\",482:\"cassette player\",483:\"castle\",484:\"catamaran\",485:\"CD player\",486:\"cello, violoncello\",487:\"cellular telephone, cellular phone, cellphone, cell, mobile phone\",488:\"chain\",489:\"chainlink fence\",490:\"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour\",491:\"chain saw, chainsaw\",492:\"chest\",493:\"chiffonier, commode\",494:\"chime, bell, gong\",495:\"china cabinet, china closet\",496:\"Christmas stocking\",497:\"church, church building\",498:\"cinema, movie theater, movie theatre, movie house, picture palace\",499:\"cleaver, meat cleaver, chopper\",500:\"cliff dwelling\",501:\"cloak\",502:\"clog, geta, patten, sabot\",503:\"cocktail shaker\",504:\"coffee mug\",505:\"coffeepot\",506:\"coil, spiral, volute, whorl, helix\",507:\"combination lock\",508:\"computer keyboard, keypad\",509:\"confectionery, confectionary, candy store\",510:\"container ship, containership, container vessel\",511:\"convertible\",512:\"corkscrew, bottle screw\",513:\"cornet, horn, trumpet, trump\",514:\"cowboy boot\",515:\"cowboy hat, ten-gallon hat\",516:\"cradle\",517:\"crane\",518:\"crash helmet\",519:\"crate\",520:\"crib, cot\",521:\"Crock Pot\",522:\"croquet ball\",523:\"crutch\",524:\"cuirass\",525:\"dam, dike, dyke\",526:\"desk\",527:\"desktop computer\",528:\"dial telephone, dial phone\",529:\"diaper, nappy, napkin\",530:\"digital clock\",531:\"digital watch\",532:\"dining table, board\",533:\"dishrag, dishcloth\",534:\"dishwasher, dish washer, dishwashing machine\",535:\"disk brake, disc brake\",536:\"dock, dockage, docking facility\",537:\"dogsled, dog sled, dog sleigh\",538:\"dome\",539:\"doormat, welcome mat\",540:\"drilling platform, offshore rig\",541:\"drum, membranophone, tympan\",542:\"drumstick\",543:\"dumbbell\",544:\"Dutch oven\",545:\"electric fan, blower\",546:\"electric guitar\",547:\"electric locomotive\",548:\"entertainment center\",549:\"envelope\",550:\"espresso maker\",551:\"face powder\",552:\"feather boa, boa\",553:\"file, file cabinet, filing cabinet\",554:\"fireboat\",555:\"fire engine, fire truck\",556:\"fire screen, fireguard\",557:\"flagpole, flagstaff\",558:\"flute, transverse flute\",559:\"folding chair\",560:\"football helmet\",561:\"forklift\",562:\"fountain\",563:\"fountain pen\",564:\"four-poster\",565:\"freight car\",566:\"French horn, horn\",567:\"frying pan, frypan, skillet\",568:\"fur coat\",569:\"garbage truck, dustcart\",570:\"gasmask, respirator, gas helmet\",571:\"gas pump, gasoline pump, petrol pump, island dispenser\",572:\"goblet\",573:\"go-kart\",574:\"golf ball\",575:\"golfcart, golf cart\",576:\"gondola\",577:\"gong, tam-tam\",578:\"gown\",579:\"grand piano, grand\",580:\"greenhouse, nursery, glasshouse\",581:\"grille, radiator grille\",582:\"grocery store, grocery, food market, market\",583:\"guillotine\",584:\"hair slide\",585:\"hair spray\",586:\"half track\",587:\"hammer\",588:\"hamper\",589:\"hand blower, blow dryer, blow drier, hair dryer, hair drier\",590:\"hand-held computer, hand-held microcomputer\",591:\"handkerchief, hankie, hanky, hankey\",592:\"hard disc, hard disk, fixed disk\",593:\"harmonica, mouth organ, harp, mouth harp\",594:\"harp\",595:\"harvester, reaper\",596:\"hatchet\",597:\"holster\",598:\"home theater, home theatre\",599:\"honeycomb\",600:\"hook, claw\",601:\"hoopskirt, crinoline\",602:\"horizontal bar, high bar\",603:\"horse cart, horse-cart\",604:\"hourglass\",605:\"iPod\",606:\"iron, smoothing iron\",607:\"jack-o'-lantern\",608:\"jean, blue jean, denim\",609:\"jeep, landrover\",610:\"jersey, T-shirt, tee shirt\",611:\"jigsaw puzzle\",612:\"jinrikisha, ricksha, rickshaw\",613:\"joystick\",614:\"kimono\",615:\"knee pad\",616:\"knot\",617:\"lab coat, laboratory coat\",618:\"ladle\",619:\"lampshade, lamp shade\",620:\"laptop, laptop computer\",621:\"lawn mower, mower\",622:\"lens cap, lens cover\",623:\"letter opener, paper knife, paperknife\",624:\"library\",625:\"lifeboat\",626:\"lighter, light, igniter, ignitor\",627:\"limousine, limo\",628:\"liner, ocean liner\",629:\"lipstick, lip rouge\",630:\"Loafer\",631:\"lotion\",632:\"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system\",633:\"loupe, jeweler's loupe\",634:\"lumbermill, sawmill\",635:\"magnetic compass\",636:\"mailbag, postbag\",637:\"mailbox, letter box\",638:\"maillot\",639:\"maillot, tank suit\",640:\"manhole cover\",641:\"maraca\",642:\"marimba, xylophone\",643:\"mask\",644:\"matchstick\",645:\"maypole\",646:\"maze, labyrinth\",647:\"measuring cup\",648:\"medicine chest, medicine cabinet\",649:\"megalith, megalithic structure\",650:\"microphone, mike\",651:\"microwave, microwave oven\",652:\"military uniform\",653:\"milk can\",654:\"minibus\",655:\"miniskirt, mini\",656:\"minivan\",657:\"missile\",658:\"mitten\",659:\"mixing bowl\",660:\"mobile home, manufactured home\",661:\"Model T\",662:\"modem\",663:\"monastery\",664:\"monitor\",665:\"moped\",666:\"mortar\",667:\"mortarboard\",668:\"mosque\",669:\"mosquito net\",670:\"motor scooter, scooter\",671:\"mountain bike, all-terrain bike, off-roader\",672:\"mountain tent\",673:\"mouse, computer mouse\",674:\"mousetrap\",675:\"moving van\",676:\"muzzle\",677:\"nail\",678:\"neck brace\",679:\"necklace\",680:\"nipple\",681:\"notebook, notebook computer\",682:\"obelisk\",683:\"oboe, hautboy, hautbois\",684:\"ocarina, sweet potato\",685:\"odometer, hodometer, mileometer, milometer\",686:\"oil filter\",687:\"organ, pipe organ\",688:\"oscilloscope, scope, cathode-ray oscilloscope, CRO\",689:\"overskirt\",690:\"oxcart\",691:\"oxygen mask\",692:\"packet\",693:\"paddle, boat paddle\",694:\"paddlewheel, paddle wheel\",695:\"padlock\",696:\"paintbrush\",697:\"pajama, pyjama, pj's, jammies\",698:\"palace\",699:\"panpipe, pandean pipe, syrinx\",700:\"paper towel\",701:\"parachute, chute\",702:\"parallel bars, bars\",703:\"park bench\",704:\"parking meter\",705:\"passenger car, coach, carriage\",706:\"patio, terrace\",707:\"pay-phone, pay-station\",708:\"pedestal, plinth, footstall\",709:\"pencil box, pencil case\",710:\"pencil sharpener\",711:\"perfume, essence\",712:\"Petri dish\",713:\"photocopier\",714:\"pick, plectrum, plectron\",715:\"pickelhaube\",716:\"picket fence, paling\",717:\"pickup, pickup truck\",718:\"pier\",719:\"piggy bank, penny bank\",720:\"pill bottle\",721:\"pillow\",722:\"ping-pong ball\",723:\"pinwheel\",724:\"pirate, pirate ship\",725:\"pitcher, ewer\",726:\"plane, carpenter's plane, woodworking plane\",727:\"planetarium\",728:\"plastic bag\",729:\"plate rack\",730:\"plow, plough\",731:\"plunger, plumber's helper\",732:\"Polaroid camera, Polaroid Land camera\",733:\"pole\",734:\"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria\",735:\"poncho\",736:\"pool table, billiard table, snooker table\",737:\"pop bottle, soda bottle\",738:\"pot, flowerpot\",739:\"potter's wheel\",740:\"power drill\",741:\"prayer rug, prayer mat\",742:\"printer\",743:\"prison, prison house\",744:\"projectile, missile\",745:\"projector\",746:\"puck, hockey puck\",747:\"punching bag, punch bag, punching ball, punchball\",748:\"purse\",749:\"quill, quill pen\",750:\"quilt, comforter, comfort, puff\",751:\"racer, race car, racing car\",752:\"racket, racquet\",753:\"radiator\",754:\"radio, wireless\",755:\"radio telescope, radio reflector\",756:\"rain barrel\",757:\"recreational vehicle, RV, R.V.\",758:\"reel\",759:\"reflex camera\",760:\"refrigerator, icebox\",761:\"remote control, remote\",762:\"restaurant, eating house, eating place, eatery\",763:\"revolver, six-gun, six-shooter\",764:\"rifle\",765:\"rocking chair, rocker\",766:\"rotisserie\",767:\"rubber eraser, rubber, pencil eraser\",768:\"rugby ball\",769:\"rule, ruler\",770:\"running shoe\",771:\"safe\",772:\"safety pin\",773:\"saltshaker, salt shaker\",774:\"sandal\",775:\"sarong\",776:\"sax, saxophone\",777:\"scabbard\",778:\"scale, weighing machine\",779:\"school bus\",780:\"schooner\",781:\"scoreboard\",782:\"screen, CRT screen\",783:\"screw\",784:\"screwdriver\",785:\"seat belt, seatbelt\",786:\"sewing machine\",787:\"shield, buckler\",788:\"shoe shop, shoe-shop, shoe store\",789:\"shoji\",790:\"shopping basket\",791:\"shopping cart\",792:\"shovel\",793:\"shower cap\",794:\"shower curtain\",795:\"ski\",796:\"ski mask\",797:\"sleeping bag\",798:\"slide rule, slipstick\",799:\"sliding door\",800:\"slot, one-armed bandit\",801:\"snorkel\",802:\"snowmobile\",803:\"snowplow, snowplough\",804:\"soap dispenser\",805:\"soccer ball\",806:\"sock\",807:\"solar dish, solar collector, solar furnace\",808:\"sombrero\",809:\"soup bowl\",810:\"space bar\",811:\"space heater\",812:\"space shuttle\",813:\"spatula\",814:\"speedboat\",815:\"spider web, spider's web\",816:\"spindle\",817:\"sports car, sport car\",818:\"spotlight, spot\",819:\"stage\",820:\"steam locomotive\",821:\"steel arch bridge\",822:\"steel drum\",823:\"stethoscope\",824:\"stole\",825:\"stone wall\",826:\"stopwatch, stop watch\",827:\"stove\",828:\"strainer\",829:\"streetcar, tram, tramcar, trolley, trolley car\",830:\"stretcher\",831:\"studio couch, day bed\",832:\"stupa, tope\",833:\"submarine, pigboat, sub, U-boat\",834:\"suit, suit of clothes\",835:\"sundial\",836:\"sunglass\",837:\"sunglasses, dark glasses, shades\",838:\"sunscreen, sunblock, sun blocker\",839:\"suspension bridge\",840:\"swab, swob, mop\",841:\"sweatshirt\",842:\"swimming trunks, bathing trunks\",843:\"swing\",844:\"switch, electric switch, electrical switch\",845:\"syringe\",846:\"table lamp\",847:\"tank, army tank, armored combat vehicle, armoured combat vehicle\",848:\"tape player\",849:\"teapot\",850:\"teddy, teddy bear\",851:\"television, television system\",852:\"tennis ball\",853:\"thatch, thatched roof\",854:\"theater curtain, theatre curtain\",855:\"thimble\",856:\"thresher, thrasher, threshing machine\",857:\"throne\",858:\"tile roof\",859:\"toaster\",860:\"tobacco shop, tobacconist shop, tobacconist\",861:\"toilet seat\",862:\"torch\",863:\"totem pole\",864:\"tow truck, tow car, wrecker\",865:\"toyshop\",866:\"tractor\",867:\"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi\",868:\"tray\",869:\"trench coat\",870:\"tricycle, trike, velocipede\",871:\"trimaran\",872:\"tripod\",873:\"triumphal arch\",874:\"trolleybus, trolley coach, trackless trolley\",875:\"trombone\",876:\"tub, vat\",877:\"turnstile\",878:\"typewriter keyboard\",879:\"umbrella\",880:\"unicycle, monocycle\",881:\"upright, upright piano\",882:\"vacuum, vacuum cleaner\",883:\"vase\",884:\"vault\",885:\"velvet\",886:\"vending machine\",887:\"vestment\",888:\"viaduct\",889:\"violin, fiddle\",890:\"volleyball\",891:\"waffle iron\",892:\"wall clock\",893:\"wallet, billfold, notecase, pocketbook\",894:\"wardrobe, closet, press\",895:\"warplane, military plane\",896:\"washbasin, handbasin, washbowl, lavabo, wash-hand basin\",897:\"washer, automatic washer, washing machine\",898:\"water bottle\",899:\"water jug\",900:\"water tower\",901:\"whiskey jug\",902:\"whistle\",903:\"wig\",904:\"window screen\",905:\"window shade\",906:\"Windsor tie\",907:\"wine bottle\",908:\"wing\",909:\"wok\",910:\"wooden spoon\",911:\"wool, woolen, woollen\",912:\"worm fence, snake fence, snake-rail fence, Virginia fence\",913:\"wreck\",914:\"yawl\",915:\"yurt\",916:\"web site, website, internet site, site\",917:\"comic book\",918:\"crossword puzzle, crossword\",919:\"street sign\",920:\"traffic light, traffic signal, stoplight\",921:\"book jacket, dust cover, dust jacket, dust wrapper\",922:\"menu\",923:\"plate\",924:\"guacamole\",925:\"consomme\",926:\"hot pot, hotpot\",927:\"trifle\",928:\"ice cream, icecream\",929:\"ice lolly, lolly, lollipop, popsicle\",930:\"French loaf\",931:\"bagel, beigel\",932:\"pretzel\",933:\"cheeseburger\",934:\"hotdog, hot dog, red hot\",935:\"mashed potato\",936:\"head cabbage\",937:\"broccoli\",938:\"cauliflower\",939:\"zucchini, courgette\",940:\"spaghetti squash\",941:\"acorn squash\",942:\"butternut squash\",943:\"cucumber, cuke\",944:\"artichoke, globe artichoke\",945:\"bell pepper\",946:\"cardoon\",947:\"mushroom\",948:\"Granny Smith\",949:\"strawberry\",950:\"orange\",951:\"lemon\",952:\"fig\",953:\"pineapple, ananas\",954:\"banana\",955:\"jackfruit, jak, jack\",956:\"custard apple\",957:\"pomegranate\",958:\"hay\",959:\"carbonara\",960:\"chocolate sauce, chocolate syrup\",961:\"dough\",962:\"meat loaf, meatloaf\",963:\"pizza, pizza pie\",964:\"potpie\",965:\"burrito\",966:\"red wine\",967:\"espresso\",968:\"cup\",969:\"eggnog\",970:\"alp\",971:\"bubble\",972:\"cliff, drop, drop-off\",973:\"coral reef\",974:\"geyser\",975:\"lakeside, lakeshore\",976:\"promontory, headland, head, foreland\",977:\"sandbar, sand bar\",978:\"seashore, coast, seacoast, sea-coast\",979:\"valley, vale\",980:\"volcano\",981:\"ballplayer, baseball player\",982:\"groom, bridegroom\",983:\"scuba diver\",984:\"rapeseed\",985:\"daisy\",986:\"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum\",987:\"corn\",988:\"acorn\",989:\"hip, rose hip, rosehip\",990:\"buckeye, horse chestnut, conker\",991:\"coral fungus\",992:\"agaric\",993:\"gyromitra\",994:\"stinkhorn, carrion fungus\",995:\"earthstar\",996:\"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa\",997:\"bolete\",998:\"ear, spike, capitulum\",999:\"toilet tissue, toilet paper, bathroom tissue\"},BASE_PATH=\"https://storage.googleapis.com/tfjs-models/tfjs/\",IMAGE_SIZE=224;function load(e,a){return void 0===e&&(e=1),void 0===a&&(a=1),__awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(o){switch(o.label){case 0:if(null==tf)throw new Error(\"Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.\");if(1!==e)throw new Error(\"Currently only MobileNet V1 is supported. Got version \"+e+\".\");if(-1===[.25,.5,.75,1].indexOf(a))throw new Error(\"MobileNet constructed with invalid alpha \"+a+\". Valid multipliers are 0.25, 0.50, 0.75, and 1.0.\");return[4,(r=new MobileNet(e,a)).load()];case 1:return o.sent(),[2,r]}})})}var MobileNet=function(){function e(e,a){this.intermediateModels={};var r={.25:\"0.25\",.5:\"0.50\",.75:\"0.75\",1:\"1.0\"}[a];this.path=BASE_PATH+\"mobilenet_v\"+e+\"_\"+r+\"_\"+IMAGE_SIZE+\"/model.json\",this.normalizationOffset=scalar(127.5)}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,a,r=this;return __generator(this,function(o){switch(o.label){case 0:return e=this,[4,loadModel(this.path)];case 1:return e.model=o.sent(),this.endpoints=this.model.layers.map(function(e){return e.name}),[4,(a=tidy(function(){return r.model.predict(zeros([1,IMAGE_SIZE,IMAGE_SIZE,3]))})).data()];case 2:return o.sent(),a.dispose(),[2]}})})},e.prototype.infer=function(e,a){var r=this;if(null!=a&&-1===this.endpoints.indexOf(a))throw new Error(\"Unknown endpoint \"+a+\". Available endpoints: \"+this.endpoints+\".\");return tidy(function(){e instanceof Tensor||(e=fromPixels(e));var o=e.toFloat().sub(r.normalizationOffset).div(r.normalizationOffset),i=o;if(e.shape[0]!==IMAGE_SIZE||e.shape[1]!==IMAGE_SIZE){i=image.resizeBilinear(o,[IMAGE_SIZE,IMAGE_SIZE],!0)}var t,n=i.reshape([1,IMAGE_SIZE,IMAGE_SIZE,3]);if(null==a)t=r.model;else{if(null==r.intermediateModels[a]){var s=r.model.layers.find(function(e){return e.name===a});r.intermediateModels[a]=model({inputs:r.model.inputs,outputs:s.output})}t=r.intermediateModels[a]}return t.predict(n)})},e.prototype.classify=function(e,a){return void 0===a&&(a=3),__awaiter(this,void 0,void 0,function(){var r,o;return __generator(this,function(i){switch(i.label){case 0:return[4,getTopKClasses(r=this.infer(e),a)];case 1:return o=i.sent(),r.dispose(),[2,o]}})})},e}();function getTopKClasses(e,a){return __awaiter(this,void 0,void 0,function(){var r,o,i,t,n,s;return __generator(this,function(l){switch(l.label){case 0:return[4,e.data()];case 1:for(r=l.sent(),o=[],s=0;s<r.length;s++)o.push({value:r[s],index:s});for(o.sort(function(e,a){return a.value-e.value}),i=new Float32Array(a),t=new Int32Array(a),s=0;s<a;s++)i[s]=o[s].value,t[s]=o[s].index;for(n=[],s=0;s<t.length;s++)n.push({className:IMAGENET_CLASSES[t[s]],probability:i[s]});return[2,n]}})})}export{load,MobileNet};\n","var pIE = require('./_object-pie');\nvar createDesc = require('./_property-desc');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar has = require('./_has');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar gOPD = Object.getOwnPropertyDescriptor;\n\nexports.f = require('./_descriptors') ? gOPD : function getOwnPropertyDescriptor(O, P) {\n  O = toIObject(O);\n  P = toPrimitive(P, true);\n  if (IE8_DOM_DEFINE) try {\n    return gOPD(O, P);\n  } catch (e) { /* empty */ }\n  if (has(O, P)) return createDesc(!pIE.f.call(O, P), O[P]);\n};\n","// 19.1.2.7 / 15.2.3.4 Object.getOwnPropertyNames(O)\nvar $keys = require('./_object-keys-internal');\nvar hiddenKeys = require('./_enum-bug-keys').concat('length', 'prototype');\n\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return $keys(O, hiddenKeys);\n};\n","// 7.2.2 IsArray(argument)\nvar cof = require('./_cof');\nmodule.exports = Array.isArray || function isArray(arg) {\n  return cof(arg) == 'Array';\n};\n","var ITERATOR = require('./_wks')('iterator');\nvar SAFE_CLOSING = false;\n\ntry {\n  var riter = [7][ITERATOR]();\n  riter['return'] = function () { SAFE_CLOSING = true; };\n  // eslint-disable-next-line no-throw-literal\n  Array.from(riter, function () { throw 2; });\n} catch (e) { /* empty */ }\n\nmodule.exports = function (exec, skipClosing) {\n  if (!skipClosing && !SAFE_CLOSING) return false;\n  var safe = false;\n  try {\n    var arr = [7];\n    var iter = arr[ITERATOR]();\n    iter.next = function () { return { done: safe = true }; };\n    arr[ITERATOR] = function () { return iter; };\n    exec(arr);\n  } catch (e) { /* empty */ }\n  return safe;\n};\n","'use strict';\nvar global = require('./_global');\nvar core = require('./_core');\nvar dP = require('./_object-dp');\nvar DESCRIPTORS = require('./_descriptors');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (KEY) {\n  var C = typeof core[KEY] == 'function' ? core[KEY] : global[KEY];\n  if (DESCRIPTORS && C && !C[SPECIES]) dP.f(C, SPECIES, {\n    configurable: true,\n    get: function () { return this; }\n  });\n};\n","var anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar newPromiseCapability = require('./_new-promise-capability');\n\nmodule.exports = function (C, x) {\n  anObject(C);\n  if (isObject(x) && x.constructor === C) return x;\n  var promiseCapability = newPromiseCapability.f(C);\n  var resolve = promiseCapability.resolve;\n  resolve(x);\n  return promiseCapability.promise;\n};\n","module.exports = function (exec) {\n  try {\n    return { e: false, v: exec() };\n  } catch (e) {\n    return { e: true, v: e };\n  }\n};\n","var ctx = require('./_ctx');\nvar invoke = require('./_invoke');\nvar html = require('./_html');\nvar cel = require('./_dom-create');\nvar global = require('./_global');\nvar process = global.process;\nvar setTask = global.setImmediate;\nvar clearTask = global.clearImmediate;\nvar MessageChannel = global.MessageChannel;\nvar Dispatch = global.Dispatch;\nvar counter = 0;\nvar queue = {};\nvar ONREADYSTATECHANGE = 'onreadystatechange';\nvar defer, channel, port;\nvar run = function () {\n  var id = +this;\n  // eslint-disable-next-line no-prototype-builtins\n  if (queue.hasOwnProperty(id)) {\n    var fn = queue[id];\n    delete queue[id];\n    fn();\n  }\n};\nvar listener = function (event) {\n  run.call(event.data);\n};\n// Node.js 0.9+ & IE10+ has setImmediate, otherwise:\nif (!setTask || !clearTask) {\n  setTask = function setImmediate(fn) {\n    var args = [];\n    var i = 1;\n    while (arguments.length > i) args.push(arguments[i++]);\n    queue[++counter] = function () {\n      // eslint-disable-next-line no-new-func\n      invoke(typeof fn == 'function' ? fn : Function(fn), args);\n    };\n    defer(counter);\n    return counter;\n  };\n  clearTask = function clearImmediate(id) {\n    delete queue[id];\n  };\n  // Node.js 0.8-\n  if (require('./_cof')(process) == 'process') {\n    defer = function (id) {\n      process.nextTick(ctx(run, id, 1));\n    };\n  // Sphere (JS game engine) Dispatch API\n  } else if (Dispatch && Dispatch.now) {\n    defer = function (id) {\n      Dispatch.now(ctx(run, id, 1));\n    };\n  // Browsers with MessageChannel, includes WebWorkers\n  } else if (MessageChannel) {\n    channel = new MessageChannel();\n    port = channel.port2;\n    channel.port1.onmessage = listener;\n    defer = ctx(port.postMessage, port, 1);\n  // Browsers with postMessage, skip WebWorkers\n  // IE8 has postMessage, but it's sync & typeof its postMessage is 'object'\n  } else if (global.addEventListener && typeof postMessage == 'function' && !global.importScripts) {\n    defer = function (id) {\n      global.postMessage(id + '', '*');\n    };\n    global.addEventListener('message', listener, false);\n  // IE8-\n  } else if (ONREADYSTATECHANGE in cel('script')) {\n    defer = function (id) {\n      html.appendChild(cel('script'))[ONREADYSTATECHANGE] = function () {\n        html.removeChild(this);\n        run.call(id);\n      };\n    };\n  // Rest old browsers\n  } else {\n    defer = function (id) {\n      setTimeout(ctx(run, id, 1), 0);\n    };\n  }\n}\nmodule.exports = {\n  set: setTask,\n  clear: clearTask\n};\n","// 7.3.20 SpeciesConstructor(O, defaultConstructor)\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar SPECIES = require('./_wks')('species');\nmodule.exports = function (O, D) {\n  var C = anObject(O).constructor;\n  var S;\n  return C === undefined || (S = anObject(C)[SPECIES]) == undefined ? D : aFunction(S);\n};\n","// check on default Array iterator\nvar Iterators = require('./_iterators');\nvar ITERATOR = require('./_wks')('iterator');\nvar ArrayProto = Array.prototype;\n\nmodule.exports = function (it) {\n  return it !== undefined && (Iterators.Array === it || ArrayProto[ITERATOR] === it);\n};\n","// call something on iterator step with safe closing on error\nvar anObject = require('./_an-object');\nmodule.exports = function (iterator, fn, value, entries) {\n  try {\n    return entries ? fn(anObject(value)[0], value[1]) : fn(value);\n  // 7.4.6 IteratorClose(iterator, completion)\n  } catch (e) {\n    var ret = iterator['return'];\n    if (ret !== undefined) anObject(ret.call(iterator));\n    throw e;\n  }\n};\n","module.exports = function (done, value) {\n  return { value: value, done: !!done };\n};\n","// 19.1.2.9 / 15.2.3.2 Object.getPrototypeOf(O)\nvar has = require('./_has');\nvar toObject = require('./_to-object');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar ObjectProto = Object.prototype;\n\nmodule.exports = Object.getPrototypeOf || function (O) {\n  O = toObject(O);\n  if (has(O, IE_PROTO)) return O[IE_PROTO];\n  if (typeof O.constructor == 'function' && O instanceof O.constructor) {\n    return O.constructor.prototype;\n  } return O instanceof Object ? ObjectProto : null;\n};\n","var document = require('./_global').document;\nmodule.exports = document && document.documentElement;\n","module.exports = require('./_hide');\n","var BN = require('bn.js')\nvar Buffer = require('safe-buffer').Buffer\n\nfunction withPublic (paddedMsg, key) {\n  return Buffer.from(paddedMsg\n    .toRed(BN.mont(key.modulus))\n    .redPow(new BN(key.publicExponent))\n    .fromRed()\n    .toArray())\n}\n\nmodule.exports = withPublic\n","module.exports = function xor (a, b) {\n  var len = a.length\n  var i = -1\n  while (++i < len) {\n    a[i] ^= b[i]\n  }\n  return a\n}\n","var createHash = require('create-hash')\nvar Buffer = require('safe-buffer').Buffer\n\nmodule.exports = function (seed, len) {\n  var t = Buffer.alloc(0)\n  var i = 0\n  var c\n  while (t.length < len) {\n    c = i2ops(i++)\n    t = Buffer.concat([t, createHash('sha1').update(seed).update(c).digest()])\n  }\n  return t.slice(0, len)\n}\n\nfunction i2ops (c) {\n  var out = Buffer.allocUnsafe(4)\n  out.writeUInt32BE(c, 0)\n  return out\n}\n","var inherits = require('inherits');\nvar Buffer = require('buffer').Buffer;\n\nvar asn1 = require('../../asn1');\nvar base = asn1.base;\n\n// Import DER constants\nvar der = asn1.constants.der;\n\nfunction DEREncoder(entity) {\n  this.enc = 'der';\n  this.name = entity.name;\n  this.entity = entity;\n\n  // Construct base tree\n  this.tree = new DERNode();\n  this.tree._init(entity.body);\n};\nmodule.exports = DEREncoder;\n\nDEREncoder.prototype.encode = function encode(data, reporter) {\n  return this.tree._encode(data, reporter).join();\n};\n\n// Tree methods\n\nfunction DERNode(parent) {\n  base.Node.call(this, 'der', parent);\n}\ninherits(DERNode, base.Node);\n\nDERNode.prototype._encodeComposite = function encodeComposite(tag,\n                                                              primitive,\n                                                              cls,\n                                                              content) {\n  var encodedTag = encodeTag(tag, primitive, cls, this.reporter);\n\n  // Short form\n  if (content.length < 0x80) {\n    var header = new Buffer(2);\n    header[0] = encodedTag;\n    header[1] = content.length;\n    return this._createEncoderBuffer([ header, content ]);\n  }\n\n  // Long form\n  // Count octets required to store length\n  var lenOctets = 1;\n  for (var i = content.length; i >= 0x100; i >>= 8)\n    lenOctets++;\n\n  var header = new Buffer(1 + 1 + lenOctets);\n  header[0] = encodedTag;\n  header[1] = 0x80 | lenOctets;\n\n  for (var i = 1 + lenOctets, j = content.length; j > 0; i--, j >>= 8)\n    header[i] = j & 0xff;\n\n  return this._createEncoderBuffer([ header, content ]);\n};\n\nDERNode.prototype._encodeStr = function encodeStr(str, tag) {\n  if (tag === 'bitstr') {\n    return this._createEncoderBuffer([ str.unused | 0, str.data ]);\n  } else if (tag === 'bmpstr') {\n    var buf = new Buffer(str.length * 2);\n    for (var i = 0; i < str.length; i++) {\n      buf.writeUInt16BE(str.charCodeAt(i), i * 2);\n    }\n    return this._createEncoderBuffer(buf);\n  } else if (tag === 'numstr') {\n    if (!this._isNumstr(str)) {\n      return this.reporter.error('Encoding of string type: numstr supports ' +\n                                 'only digits and space');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'printstr') {\n    if (!this._isPrintstr(str)) {\n      return this.reporter.error('Encoding of string type: printstr supports ' +\n                                 'only latin upper and lower case letters, ' +\n                                 'digits, space, apostrophe, left and rigth ' +\n                                 'parenthesis, plus sign, comma, hyphen, ' +\n                                 'dot, slash, colon, equal sign, ' +\n                                 'question mark');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (/str$/.test(tag)) {\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'objDesc') {\n    return this._createEncoderBuffer(str);\n  } else {\n    return this.reporter.error('Encoding of string type: ' + tag +\n                               ' unsupported');\n  }\n};\n\nDERNode.prototype._encodeObjid = function encodeObjid(id, values, relative) {\n  if (typeof id === 'string') {\n    if (!values)\n      return this.reporter.error('string objid given, but no values map found');\n    if (!values.hasOwnProperty(id))\n      return this.reporter.error('objid not found in values map');\n    id = values[id].split(/[\\s\\.]+/g);\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  } else if (Array.isArray(id)) {\n    id = id.slice();\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  }\n\n  if (!Array.isArray(id)) {\n    return this.reporter.error('objid() should be either array or string, ' +\n                               'got: ' + JSON.stringify(id));\n  }\n\n  if (!relative) {\n    if (id[1] >= 40)\n      return this.reporter.error('Second objid identifier OOB');\n    id.splice(0, 2, id[0] * 40 + id[1]);\n  }\n\n  // Count number of octets\n  var size = 0;\n  for (var i = 0; i < id.length; i++) {\n    var ident = id[i];\n    for (size++; ident >= 0x80; ident >>= 7)\n      size++;\n  }\n\n  var objid = new Buffer(size);\n  var offset = objid.length - 1;\n  for (var i = id.length - 1; i >= 0; i--) {\n    var ident = id[i];\n    objid[offset--] = ident & 0x7f;\n    while ((ident >>= 7) > 0)\n      objid[offset--] = 0x80 | (ident & 0x7f);\n  }\n\n  return this._createEncoderBuffer(objid);\n};\n\nfunction two(num) {\n  if (num < 10)\n    return '0' + num;\n  else\n    return num;\n}\n\nDERNode.prototype._encodeTime = function encodeTime(time, tag) {\n  var str;\n  var date = new Date(time);\n\n  if (tag === 'gentime') {\n    str = [\n      two(date.getFullYear()),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else if (tag === 'utctime') {\n    str = [\n      two(date.getFullYear() % 100),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else {\n    this.reporter.error('Encoding ' + tag + ' time is not supported yet');\n  }\n\n  return this._encodeStr(str, 'octstr');\n};\n\nDERNode.prototype._encodeNull = function encodeNull() {\n  return this._createEncoderBuffer('');\n};\n\nDERNode.prototype._encodeInt = function encodeInt(num, values) {\n  if (typeof num === 'string') {\n    if (!values)\n      return this.reporter.error('String int or enum given, but no values map');\n    if (!values.hasOwnProperty(num)) {\n      return this.reporter.error('Values map doesn\\'t contain: ' +\n                                 JSON.stringify(num));\n    }\n    num = values[num];\n  }\n\n  // Bignum, assume big endian\n  if (typeof num !== 'number' && !Buffer.isBuffer(num)) {\n    var numArray = num.toArray();\n    if (!num.sign && numArray[0] & 0x80) {\n      numArray.unshift(0);\n    }\n    num = new Buffer(numArray);\n  }\n\n  if (Buffer.isBuffer(num)) {\n    var size = num.length;\n    if (num.length === 0)\n      size++;\n\n    var out = new Buffer(size);\n    num.copy(out);\n    if (num.length === 0)\n      out[0] = 0\n    return this._createEncoderBuffer(out);\n  }\n\n  if (num < 0x80)\n    return this._createEncoderBuffer(num);\n\n  if (num < 0x100)\n    return this._createEncoderBuffer([0, num]);\n\n  var size = 1;\n  for (var i = num; i >= 0x100; i >>= 8)\n    size++;\n\n  var out = new Array(size);\n  for (var i = out.length - 1; i >= 0; i--) {\n    out[i] = num & 0xff;\n    num >>= 8;\n  }\n  if(out[0] & 0x80) {\n    out.unshift(0);\n  }\n\n  return this._createEncoderBuffer(new Buffer(out));\n};\n\nDERNode.prototype._encodeBool = function encodeBool(value) {\n  return this._createEncoderBuffer(value ? 0xff : 0);\n};\n\nDERNode.prototype._use = function use(entity, obj) {\n  if (typeof entity === 'function')\n    entity = entity(obj);\n  return entity._getEncoder('der').tree;\n};\n\nDERNode.prototype._skipDefault = function skipDefault(dataBuffer, reporter, parent) {\n  var state = this._baseState;\n  var i;\n  if (state['default'] === null)\n    return false;\n\n  var data = dataBuffer.join();\n  if (state.defaultBuffer === undefined)\n    state.defaultBuffer = this._encodeValue(state['default'], reporter, parent).join();\n\n  if (data.length !== state.defaultBuffer.length)\n    return false;\n\n  for (i=0; i < data.length; i++)\n    if (data[i] !== state.defaultBuffer[i])\n      return false;\n\n  return true;\n};\n\n// Utility methods\n\nfunction encodeTag(tag, primitive, cls, reporter) {\n  var res;\n\n  if (tag === 'seqof')\n    tag = 'seq';\n  else if (tag === 'setof')\n    tag = 'set';\n\n  if (der.tagByName.hasOwnProperty(tag))\n    res = der.tagByName[tag];\n  else if (typeof tag === 'number' && (tag | 0) === tag)\n    res = tag;\n  else\n    return reporter.error('Unknown tag: ' + tag);\n\n  if (res >= 0x1f)\n    return reporter.error('Multi-octet tag encoding unsupported');\n\n  if (!primitive)\n    res |= 0x20;\n\n  res |= (der.tagClassByName[cls || 'universal'] << 6);\n\n  return res;\n}\n","var inherits = require('inherits');\n\nvar asn1 = require('../../asn1');\nvar base = asn1.base;\nvar bignum = asn1.bignum;\n\n// Import DER constants\nvar der = asn1.constants.der;\n\nfunction DERDecoder(entity) {\n  this.enc = 'der';\n  this.name = entity.name;\n  this.entity = entity;\n\n  // Construct base tree\n  this.tree = new DERNode();\n  this.tree._init(entity.body);\n};\nmodule.exports = DERDecoder;\n\nDERDecoder.prototype.decode = function decode(data, options) {\n  if (!(data instanceof base.DecoderBuffer))\n    data = new base.DecoderBuffer(data, options);\n\n  return this.tree._decode(data, options);\n};\n\n// Tree methods\n\nfunction DERNode(parent) {\n  base.Node.call(this, 'der', parent);\n}\ninherits(DERNode, base.Node);\n\nDERNode.prototype._peekTag = function peekTag(buffer, tag, any) {\n  if (buffer.isEmpty())\n    return false;\n\n  var state = buffer.save();\n  var decodedTag = derDecodeTag(buffer, 'Failed to peek tag: \"' + tag + '\"');\n  if (buffer.isError(decodedTag))\n    return decodedTag;\n\n  buffer.restore(state);\n\n  return decodedTag.tag === tag || decodedTag.tagStr === tag ||\n    (decodedTag.tagStr + 'of') === tag || any;\n};\n\nDERNode.prototype._decodeTag = function decodeTag(buffer, tag, any) {\n  var decodedTag = derDecodeTag(buffer,\n                                'Failed to decode tag of \"' + tag + '\"');\n  if (buffer.isError(decodedTag))\n    return decodedTag;\n\n  var len = derDecodeLen(buffer,\n                         decodedTag.primitive,\n                         'Failed to get length of \"' + tag + '\"');\n\n  // Failure\n  if (buffer.isError(len))\n    return len;\n\n  if (!any &&\n      decodedTag.tag !== tag &&\n      decodedTag.tagStr !== tag &&\n      decodedTag.tagStr + 'of' !== tag) {\n    return buffer.error('Failed to match tag: \"' + tag + '\"');\n  }\n\n  if (decodedTag.primitive || len !== null)\n    return buffer.skip(len, 'Failed to match body of: \"' + tag + '\"');\n\n  // Indefinite length... find END tag\n  var state = buffer.save();\n  var res = this._skipUntilEnd(\n      buffer,\n      'Failed to skip indefinite length body: \"' + this.tag + '\"');\n  if (buffer.isError(res))\n    return res;\n\n  len = buffer.offset - state.offset;\n  buffer.restore(state);\n  return buffer.skip(len, 'Failed to match body of: \"' + tag + '\"');\n};\n\nDERNode.prototype._skipUntilEnd = function skipUntilEnd(buffer, fail) {\n  while (true) {\n    var tag = derDecodeTag(buffer, fail);\n    if (buffer.isError(tag))\n      return tag;\n    var len = derDecodeLen(buffer, tag.primitive, fail);\n    if (buffer.isError(len))\n      return len;\n\n    var res;\n    if (tag.primitive || len !== null)\n      res = buffer.skip(len)\n    else\n      res = this._skipUntilEnd(buffer, fail);\n\n    // Failure\n    if (buffer.isError(res))\n      return res;\n\n    if (tag.tagStr === 'end')\n      break;\n  }\n};\n\nDERNode.prototype._decodeList = function decodeList(buffer, tag, decoder,\n                                                    options) {\n  var result = [];\n  while (!buffer.isEmpty()) {\n    var possibleEnd = this._peekTag(buffer, 'end');\n    if (buffer.isError(possibleEnd))\n      return possibleEnd;\n\n    var res = decoder.decode(buffer, 'der', options);\n    if (buffer.isError(res) && possibleEnd)\n      break;\n    result.push(res);\n  }\n  return result;\n};\n\nDERNode.prototype._decodeStr = function decodeStr(buffer, tag) {\n  if (tag === 'bitstr') {\n    var unused = buffer.readUInt8();\n    if (buffer.isError(unused))\n      return unused;\n    return { unused: unused, data: buffer.raw() };\n  } else if (tag === 'bmpstr') {\n    var raw = buffer.raw();\n    if (raw.length % 2 === 1)\n      return buffer.error('Decoding of string type: bmpstr length mismatch');\n\n    var str = '';\n    for (var i = 0; i < raw.length / 2; i++) {\n      str += String.fromCharCode(raw.readUInt16BE(i * 2));\n    }\n    return str;\n  } else if (tag === 'numstr') {\n    var numstr = buffer.raw().toString('ascii');\n    if (!this._isNumstr(numstr)) {\n      return buffer.error('Decoding of string type: ' +\n                          'numstr unsupported characters');\n    }\n    return numstr;\n  } else if (tag === 'octstr') {\n    return buffer.raw();\n  } else if (tag === 'objDesc') {\n    return buffer.raw();\n  } else if (tag === 'printstr') {\n    var printstr = buffer.raw().toString('ascii');\n    if (!this._isPrintstr(printstr)) {\n      return buffer.error('Decoding of string type: ' +\n                          'printstr unsupported characters');\n    }\n    return printstr;\n  } else if (/str$/.test(tag)) {\n    return buffer.raw().toString();\n  } else {\n    return buffer.error('Decoding of string type: ' + tag + ' unsupported');\n  }\n};\n\nDERNode.prototype._decodeObjid = function decodeObjid(buffer, values, relative) {\n  var result;\n  var identifiers = [];\n  var ident = 0;\n  while (!buffer.isEmpty()) {\n    var subident = buffer.readUInt8();\n    ident <<= 7;\n    ident |= subident & 0x7f;\n    if ((subident & 0x80) === 0) {\n      identifiers.push(ident);\n      ident = 0;\n    }\n  }\n  if (subident & 0x80)\n    identifiers.push(ident);\n\n  var first = (identifiers[0] / 40) | 0;\n  var second = identifiers[0] % 40;\n\n  if (relative)\n    result = identifiers;\n  else\n    result = [first, second].concat(identifiers.slice(1));\n\n  if (values) {\n    var tmp = values[result.join(' ')];\n    if (tmp === undefined)\n      tmp = values[result.join('.')];\n    if (tmp !== undefined)\n      result = tmp;\n  }\n\n  return result;\n};\n\nDERNode.prototype._decodeTime = function decodeTime(buffer, tag) {\n  var str = buffer.raw().toString();\n  if (tag === 'gentime') {\n    var year = str.slice(0, 4) | 0;\n    var mon = str.slice(4, 6) | 0;\n    var day = str.slice(6, 8) | 0;\n    var hour = str.slice(8, 10) | 0;\n    var min = str.slice(10, 12) | 0;\n    var sec = str.slice(12, 14) | 0;\n  } else if (tag === 'utctime') {\n    var year = str.slice(0, 2) | 0;\n    var mon = str.slice(2, 4) | 0;\n    var day = str.slice(4, 6) | 0;\n    var hour = str.slice(6, 8) | 0;\n    var min = str.slice(8, 10) | 0;\n    var sec = str.slice(10, 12) | 0;\n    if (year < 70)\n      year = 2000 + year;\n    else\n      year = 1900 + year;\n  } else {\n    return buffer.error('Decoding ' + tag + ' time is not supported yet');\n  }\n\n  return Date.UTC(year, mon - 1, day, hour, min, sec, 0);\n};\n\nDERNode.prototype._decodeNull = function decodeNull(buffer) {\n  return null;\n};\n\nDERNode.prototype._decodeBool = function decodeBool(buffer) {\n  var res = buffer.readUInt8();\n  if (buffer.isError(res))\n    return res;\n  else\n    return res !== 0;\n};\n\nDERNode.prototype._decodeInt = function decodeInt(buffer, values) {\n  // Bigint, return as it is (assume big endian)\n  var raw = buffer.raw();\n  var res = new bignum(raw);\n\n  if (values)\n    res = values[res.toString(10)] || res;\n\n  return res;\n};\n\nDERNode.prototype._use = function use(entity, obj) {\n  if (typeof entity === 'function')\n    entity = entity(obj);\n  return entity._getDecoder('der').tree;\n};\n\n// Utility methods\n\nfunction derDecodeTag(buf, fail) {\n  var tag = buf.readUInt8(fail);\n  if (buf.isError(tag))\n    return tag;\n\n  var cls = der.tagClass[tag >> 6];\n  var primitive = (tag & 0x20) === 0;\n\n  // Multi-octet tag - load\n  if ((tag & 0x1f) === 0x1f) {\n    var oct = tag;\n    tag = 0;\n    while ((oct & 0x80) === 0x80) {\n      oct = buf.readUInt8(fail);\n      if (buf.isError(oct))\n        return oct;\n\n      tag <<= 7;\n      tag |= oct & 0x7f;\n    }\n  } else {\n    tag &= 0x1f;\n  }\n  var tagStr = der.tag[tag];\n\n  return {\n    cls: cls,\n    primitive: primitive,\n    tag: tag,\n    tagStr: tagStr\n  };\n}\n\nfunction derDecodeLen(buf, primitive, fail) {\n  var len = buf.readUInt8(fail);\n  if (buf.isError(len))\n    return len;\n\n  // Indefinite form\n  if (!primitive && len === 0x80)\n    return null;\n\n  // Definite form\n  if ((len & 0x80) === 0) {\n    // Short form\n    return len;\n  }\n\n  // Long form\n  var num = len & 0x7f;\n  if (num > 4)\n    return buf.error('length octect is too long');\n\n  len = 0;\n  for (var i = 0; i < num; i++) {\n    len <<= 8;\n    var j = buf.readUInt8(fail);\n    if (buf.isError(j))\n      return j;\n    len |= j;\n  }\n\n  return len;\n}\n","var constants = exports;\n\n// Helper\nconstants._reverse = function reverse(map) {\n  var res = {};\n\n  Object.keys(map).forEach(function(key) {\n    // Convert key to integer if it is stringified\n    if ((key | 0) == key)\n      key = key | 0;\n\n    var value = map[key];\n    res[value] = key;\n  });\n\n  return res;\n};\n\nconstants.der = require('./der');\n","var inherits = require('inherits');\nvar Reporter = require('../base').Reporter;\nvar Buffer = require('buffer').Buffer;\n\nfunction DecoderBuffer(base, options) {\n  Reporter.call(this, options);\n  if (!Buffer.isBuffer(base)) {\n    this.error('Input not Buffer');\n    return;\n  }\n\n  this.base = base;\n  this.offset = 0;\n  this.length = base.length;\n}\ninherits(DecoderBuffer, Reporter);\nexports.DecoderBuffer = DecoderBuffer;\n\nDecoderBuffer.prototype.save = function save() {\n  return { offset: this.offset, reporter: Reporter.prototype.save.call(this) };\n};\n\nDecoderBuffer.prototype.restore = function restore(save) {\n  // Return skipped data\n  var res = new DecoderBuffer(this.base);\n  res.offset = save.offset;\n  res.length = this.offset;\n\n  this.offset = save.offset;\n  Reporter.prototype.restore.call(this, save.reporter);\n\n  return res;\n};\n\nDecoderBuffer.prototype.isEmpty = function isEmpty() {\n  return this.offset === this.length;\n};\n\nDecoderBuffer.prototype.readUInt8 = function readUInt8(fail) {\n  if (this.offset + 1 <= this.length)\n    return this.base.readUInt8(this.offset++, true);\n  else\n    return this.error(fail || 'DecoderBuffer overrun');\n}\n\nDecoderBuffer.prototype.skip = function skip(bytes, fail) {\n  if (!(this.offset + bytes <= this.length))\n    return this.error(fail || 'DecoderBuffer overrun');\n\n  var res = new DecoderBuffer(this.base);\n\n  // Share reporter state\n  res._reporterState = this._reporterState;\n\n  res.offset = this.offset;\n  res.length = this.offset + bytes;\n  this.offset += bytes;\n  return res;\n}\n\nDecoderBuffer.prototype.raw = function raw(save) {\n  return this.base.slice(save ? save.offset : this.offset, this.length);\n}\n\nfunction EncoderBuffer(value, reporter) {\n  if (Array.isArray(value)) {\n    this.length = 0;\n    this.value = value.map(function(item) {\n      if (!(item instanceof EncoderBuffer))\n        item = new EncoderBuffer(item, reporter);\n      this.length += item.length;\n      return item;\n    }, this);\n  } else if (typeof value === 'number') {\n    if (!(0 <= value && value <= 0xff))\n      return reporter.error('non-byte EncoderBuffer value');\n    this.value = value;\n    this.length = 1;\n  } else if (typeof value === 'string') {\n    this.value = value;\n    this.length = Buffer.byteLength(value);\n  } else if (Buffer.isBuffer(value)) {\n    this.value = value;\n    this.length = value.length;\n  } else {\n    return reporter.error('Unsupported type: ' + typeof value);\n  }\n}\nexports.EncoderBuffer = EncoderBuffer;\n\nEncoderBuffer.prototype.join = function join(out, offset) {\n  if (!out)\n    out = new Buffer(this.length);\n  if (!offset)\n    offset = 0;\n\n  if (this.length === 0)\n    return out;\n\n  if (Array.isArray(this.value)) {\n    this.value.forEach(function(item) {\n      item.join(out, offset);\n      offset += item.length;\n    });\n  } else {\n    if (typeof this.value === 'number')\n      out[offset] = this.value;\n    else if (typeof this.value === 'string')\n      out.write(this.value, offset);\n    else if (Buffer.isBuffer(this.value))\n      this.value.copy(out, offset);\n    offset += this.length;\n  }\n\n  return out;\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar assert = require('minimalistic-assert');\n\nvar rotr64_hi = utils.rotr64_hi;\nvar rotr64_lo = utils.rotr64_lo;\nvar shr64_hi = utils.shr64_hi;\nvar shr64_lo = utils.shr64_lo;\nvar sum64 = utils.sum64;\nvar sum64_hi = utils.sum64_hi;\nvar sum64_lo = utils.sum64_lo;\nvar sum64_4_hi = utils.sum64_4_hi;\nvar sum64_4_lo = utils.sum64_4_lo;\nvar sum64_5_hi = utils.sum64_5_hi;\nvar sum64_5_lo = utils.sum64_5_lo;\n\nvar BlockHash = common.BlockHash;\n\nvar sha512_K = [\n  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,\n  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,\n  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,\n  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,\n  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,\n  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,\n  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,\n  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,\n  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n];\n\nfunction SHA512() {\n  if (!(this instanceof SHA512))\n    return new SHA512();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xf3bcc908,\n    0xbb67ae85, 0x84caa73b,\n    0x3c6ef372, 0xfe94f82b,\n    0xa54ff53a, 0x5f1d36f1,\n    0x510e527f, 0xade682d1,\n    0x9b05688c, 0x2b3e6c1f,\n    0x1f83d9ab, 0xfb41bd6b,\n    0x5be0cd19, 0x137e2179 ];\n  this.k = sha512_K;\n  this.W = new Array(160);\n}\nutils.inherits(SHA512, BlockHash);\nmodule.exports = SHA512;\n\nSHA512.blockSize = 1024;\nSHA512.outSize = 512;\nSHA512.hmacStrength = 192;\nSHA512.padLength = 128;\n\nSHA512.prototype._prepareBlock = function _prepareBlock(msg, start) {\n  var W = this.W;\n\n  // 32 x 32bit words\n  for (var i = 0; i < 32; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i += 2) {\n    var c0_hi = g1_512_hi(W[i - 4], W[i - 3]);  // i - 2\n    var c0_lo = g1_512_lo(W[i - 4], W[i - 3]);\n    var c1_hi = W[i - 14];  // i - 7\n    var c1_lo = W[i - 13];\n    var c2_hi = g0_512_hi(W[i - 30], W[i - 29]);  // i - 15\n    var c2_lo = g0_512_lo(W[i - 30], W[i - 29]);\n    var c3_hi = W[i - 32];  // i - 16\n    var c3_lo = W[i - 31];\n\n    W[i] = sum64_4_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n    W[i + 1] = sum64_4_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n  }\n};\n\nSHA512.prototype._update = function _update(msg, start) {\n  this._prepareBlock(msg, start);\n\n  var W = this.W;\n\n  var ah = this.h[0];\n  var al = this.h[1];\n  var bh = this.h[2];\n  var bl = this.h[3];\n  var ch = this.h[4];\n  var cl = this.h[5];\n  var dh = this.h[6];\n  var dl = this.h[7];\n  var eh = this.h[8];\n  var el = this.h[9];\n  var fh = this.h[10];\n  var fl = this.h[11];\n  var gh = this.h[12];\n  var gl = this.h[13];\n  var hh = this.h[14];\n  var hl = this.h[15];\n\n  assert(this.k.length === W.length);\n  for (var i = 0; i < W.length; i += 2) {\n    var c0_hi = hh;\n    var c0_lo = hl;\n    var c1_hi = s1_512_hi(eh, el);\n    var c1_lo = s1_512_lo(eh, el);\n    var c2_hi = ch64_hi(eh, el, fh, fl, gh, gl);\n    var c2_lo = ch64_lo(eh, el, fh, fl, gh, gl);\n    var c3_hi = this.k[i];\n    var c3_lo = this.k[i + 1];\n    var c4_hi = W[i];\n    var c4_lo = W[i + 1];\n\n    var T1_hi = sum64_5_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n    var T1_lo = sum64_5_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n\n    c0_hi = s0_512_hi(ah, al);\n    c0_lo = s0_512_lo(ah, al);\n    c1_hi = maj64_hi(ah, al, bh, bl, ch, cl);\n    c1_lo = maj64_lo(ah, al, bh, bl, ch, cl);\n\n    var T2_hi = sum64_hi(c0_hi, c0_lo, c1_hi, c1_lo);\n    var T2_lo = sum64_lo(c0_hi, c0_lo, c1_hi, c1_lo);\n\n    hh = gh;\n    hl = gl;\n\n    gh = fh;\n    gl = fl;\n\n    fh = eh;\n    fl = el;\n\n    eh = sum64_hi(dh, dl, T1_hi, T1_lo);\n    el = sum64_lo(dl, dl, T1_hi, T1_lo);\n\n    dh = ch;\n    dl = cl;\n\n    ch = bh;\n    cl = bl;\n\n    bh = ah;\n    bl = al;\n\n    ah = sum64_hi(T1_hi, T1_lo, T2_hi, T2_lo);\n    al = sum64_lo(T1_hi, T1_lo, T2_hi, T2_lo);\n  }\n\n  sum64(this.h, 0, ah, al);\n  sum64(this.h, 2, bh, bl);\n  sum64(this.h, 4, ch, cl);\n  sum64(this.h, 6, dh, dl);\n  sum64(this.h, 8, eh, el);\n  sum64(this.h, 10, fh, fl);\n  sum64(this.h, 12, gh, gl);\n  sum64(this.h, 14, hh, hl);\n};\n\nSHA512.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n\nfunction ch64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ ((~xh) & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction ch64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ ((~xl) & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ (xh & zh) ^ (yh & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ (xl & zl) ^ (yl & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 28);\n  var c1_hi = rotr64_hi(xl, xh, 2);  // 34\n  var c2_hi = rotr64_hi(xl, xh, 7);  // 39\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 28);\n  var c1_lo = rotr64_lo(xl, xh, 2);  // 34\n  var c2_lo = rotr64_lo(xl, xh, 7);  // 39\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 14);\n  var c1_hi = rotr64_hi(xh, xl, 18);\n  var c2_hi = rotr64_hi(xl, xh, 9);  // 41\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 14);\n  var c1_lo = rotr64_lo(xh, xl, 18);\n  var c2_lo = rotr64_lo(xl, xh, 9);  // 41\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 1);\n  var c1_hi = rotr64_hi(xh, xl, 8);\n  var c2_hi = shr64_hi(xh, xl, 7);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 1);\n  var c1_lo = rotr64_lo(xh, xl, 8);\n  var c2_lo = shr64_lo(xh, xl, 7);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 19);\n  var c1_hi = rotr64_hi(xl, xh, 29);  // 61\n  var c2_hi = shr64_hi(xh, xl, 6);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 19);\n  var c1_lo = rotr64_lo(xl, xh, 29);  // 61\n  var c2_lo = shr64_lo(xh, xl, 6);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar shaCommon = require('./common');\nvar assert = require('minimalistic-assert');\n\nvar sum32 = utils.sum32;\nvar sum32_4 = utils.sum32_4;\nvar sum32_5 = utils.sum32_5;\nvar ch32 = shaCommon.ch32;\nvar maj32 = shaCommon.maj32;\nvar s0_256 = shaCommon.s0_256;\nvar s1_256 = shaCommon.s1_256;\nvar g0_256 = shaCommon.g0_256;\nvar g1_256 = shaCommon.g1_256;\n\nvar BlockHash = common.BlockHash;\n\nvar sha256_K = [\n  0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5,\n  0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,\n  0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3,\n  0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174,\n  0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc,\n  0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da,\n  0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7,\n  0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967,\n  0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13,\n  0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85,\n  0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3,\n  0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070,\n  0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5,\n  0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3,\n  0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208,\n  0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2\n];\n\nfunction SHA256() {\n  if (!(this instanceof SHA256))\n    return new SHA256();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a,\n    0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19\n  ];\n  this.k = sha256_K;\n  this.W = new Array(64);\n}\nutils.inherits(SHA256, BlockHash);\nmodule.exports = SHA256;\n\nSHA256.blockSize = 512;\nSHA256.outSize = 256;\nSHA256.hmacStrength = 192;\nSHA256.padLength = 64;\n\nSHA256.prototype._update = function _update(msg, start) {\n  var W = this.W;\n\n  for (var i = 0; i < 16; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i++)\n    W[i] = sum32_4(g1_256(W[i - 2]), W[i - 7], g0_256(W[i - 15]), W[i - 16]);\n\n  var a = this.h[0];\n  var b = this.h[1];\n  var c = this.h[2];\n  var d = this.h[3];\n  var e = this.h[4];\n  var f = this.h[5];\n  var g = this.h[6];\n  var h = this.h[7];\n\n  assert(this.k.length === W.length);\n  for (i = 0; i < W.length; i++) {\n    var T1 = sum32_5(h, s1_256(e), ch32(e, f, g), this.k[i], W[i]);\n    var T2 = sum32(s0_256(a), maj32(a, b, c));\n    h = g;\n    g = f;\n    f = e;\n    e = sum32(d, T1);\n    d = c;\n    c = b;\n    b = a;\n    a = sum32(T1, T2);\n  }\n\n  this.h[0] = sum32(this.h[0], a);\n  this.h[1] = sum32(this.h[1], b);\n  this.h[2] = sum32(this.h[2], c);\n  this.h[3] = sum32(this.h[3], d);\n  this.h[4] = sum32(this.h[4], e);\n  this.h[5] = sum32(this.h[5], f);\n  this.h[6] = sum32(this.h[6], g);\n  this.h[7] = sum32(this.h[7], h);\n};\n\nSHA256.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar rotr32 = utils.rotr32;\n\nfunction ft_1(s, x, y, z) {\n  if (s === 0)\n    return ch32(x, y, z);\n  if (s === 1 || s === 3)\n    return p32(x, y, z);\n  if (s === 2)\n    return maj32(x, y, z);\n}\nexports.ft_1 = ft_1;\n\nfunction ch32(x, y, z) {\n  return (x & y) ^ ((~x) & z);\n}\nexports.ch32 = ch32;\n\nfunction maj32(x, y, z) {\n  return (x & y) ^ (x & z) ^ (y & z);\n}\nexports.maj32 = maj32;\n\nfunction p32(x, y, z) {\n  return x ^ y ^ z;\n}\nexports.p32 = p32;\n\nfunction s0_256(x) {\n  return rotr32(x, 2) ^ rotr32(x, 13) ^ rotr32(x, 22);\n}\nexports.s0_256 = s0_256;\n\nfunction s1_256(x) {\n  return rotr32(x, 6) ^ rotr32(x, 11) ^ rotr32(x, 25);\n}\nexports.s1_256 = s1_256;\n\nfunction g0_256(x) {\n  return rotr32(x, 7) ^ rotr32(x, 18) ^ (x >>> 3);\n}\nexports.g0_256 = g0_256;\n\nfunction g1_256(x) {\n  return rotr32(x, 17) ^ rotr32(x, 19) ^ (x >>> 10);\n}\nexports.g1_256 = g1_256;\n","'use strict';\n\nvar utils = exports;\n\nfunction toArray(msg, enc) {\n  if (Array.isArray(msg))\n    return msg.slice();\n  if (!msg)\n    return [];\n  var res = [];\n  if (typeof msg !== 'string') {\n    for (var i = 0; i < msg.length; i++)\n      res[i] = msg[i] | 0;\n    return res;\n  }\n  if (enc === 'hex') {\n    msg = msg.replace(/[^a-z0-9]+/ig, '');\n    if (msg.length % 2 !== 0)\n      msg = '0' + msg;\n    for (var i = 0; i < msg.length; i += 2)\n      res.push(parseInt(msg[i] + msg[i + 1], 16));\n  } else {\n    for (var i = 0; i < msg.length; i++) {\n      var c = msg.charCodeAt(i);\n      var hi = c >> 8;\n      var lo = c & 0xff;\n      if (hi)\n        res.push(hi, lo);\n      else\n        res.push(lo);\n    }\n  }\n  return res;\n}\nutils.toArray = toArray;\n\nfunction zero2(word) {\n  if (word.length === 1)\n    return '0' + word;\n  else\n    return word;\n}\nutils.zero2 = zero2;\n\nfunction toHex(msg) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++)\n    res += zero2(msg[i].toString(16));\n  return res;\n}\nutils.toHex = toHex;\n\nutils.encode = function encode(arr, enc) {\n  if (enc === 'hex')\n    return toHex(arr);\n  else\n    return arr;\n};\n","var r;\n\nmodule.exports = function rand(len) {\n  if (!r)\n    r = new Rand(null);\n\n  return r.generate(len);\n};\n\nfunction Rand(rand) {\n  this.rand = rand;\n}\nmodule.exports.Rand = Rand;\n\nRand.prototype.generate = function generate(len) {\n  return this._rand(len);\n};\n\n// Emulate crypto API using randy\nRand.prototype._rand = function _rand(n) {\n  if (this.rand.getBytes)\n    return this.rand.getBytes(n);\n\n  var res = new Uint8Array(n);\n  for (var i = 0; i < res.length; i++)\n    res[i] = this.rand.getByte();\n  return res;\n};\n\nif (typeof self === 'object') {\n  if (self.crypto && self.crypto.getRandomValues) {\n    // Modern browsers\n    Rand.prototype._rand = function _rand(n) {\n      var arr = new Uint8Array(n);\n      self.crypto.getRandomValues(arr);\n      return arr;\n    };\n  } else if (self.msCrypto && self.msCrypto.getRandomValues) {\n    // IE\n    Rand.prototype._rand = function _rand(n) {\n      var arr = new Uint8Array(n);\n      self.msCrypto.getRandomValues(arr);\n      return arr;\n    };\n\n  // Safari's WebWorkers do not have `crypto`\n  } else if (typeof window === 'object') {\n    // Old junk\n    Rand.prototype._rand = function() {\n      throw new Error('Not implemented yet');\n    };\n  }\n} else {\n  // Node.js or Web worker with no crypto support\n  try {\n    var crypto = require('crypto');\n    if (typeof crypto.randomBytes !== 'function')\n      throw new Error('Not supported');\n\n    Rand.prototype._rand = function _rand(n) {\n      return crypto.randomBytes(n);\n    };\n  } catch (e) {\n  }\n}\n","var bn = require('bn.js');\nvar brorand = require('brorand');\n\nfunction MillerRabin(rand) {\n  this.rand = rand || new brorand.Rand();\n}\nmodule.exports = MillerRabin;\n\nMillerRabin.create = function create(rand) {\n  return new MillerRabin(rand);\n};\n\nMillerRabin.prototype._randbelow = function _randbelow(n) {\n  var len = n.bitLength();\n  var min_bytes = Math.ceil(len / 8);\n\n  // Generage random bytes until a number less than n is found.\n  // This ensures that 0..n-1 have an equal probability of being selected.\n  do\n    var a = new bn(this.rand.generate(min_bytes));\n  while (a.cmp(n) >= 0);\n\n  return a;\n};\n\nMillerRabin.prototype._randrange = function _randrange(start, stop) {\n  // Generate a random number greater than or equal to start and less than stop.\n  var size = stop.sub(start);\n  return start.add(this._randbelow(size));\n};\n\nMillerRabin.prototype.test = function test(n, k, cb) {\n  var len = n.bitLength();\n  var red = bn.mont(n);\n  var rone = new bn(1).toRed(red);\n\n  if (!k)\n    k = Math.max(1, (len / 48) | 0);\n\n  // Find d and s, (n - 1) = (2 ^ s) * d;\n  var n1 = n.subn(1);\n  for (var s = 0; !n1.testn(s); s++) {}\n  var d = n.shrn(s);\n\n  var rn1 = n1.toRed(red);\n\n  var prime = true;\n  for (; k > 0; k--) {\n    var a = this._randrange(new bn(2), n1);\n    if (cb)\n      cb(a);\n\n    var x = a.toRed(red).redPow(d);\n    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)\n      continue;\n\n    for (var i = 1; i < s; i++) {\n      x = x.redSqr();\n\n      if (x.cmp(rone) === 0)\n        return false;\n      if (x.cmp(rn1) === 0)\n        break;\n    }\n\n    if (i === s)\n      return false;\n  }\n\n  return prime;\n};\n\nMillerRabin.prototype.getDivisor = function getDivisor(n, k) {\n  var len = n.bitLength();\n  var red = bn.mont(n);\n  var rone = new bn(1).toRed(red);\n\n  if (!k)\n    k = Math.max(1, (len / 48) | 0);\n\n  // Find d and s, (n - 1) = (2 ^ s) * d;\n  var n1 = n.subn(1);\n  for (var s = 0; !n1.testn(s); s++) {}\n  var d = n.shrn(s);\n\n  var rn1 = n1.toRed(red);\n\n  for (; k > 0; k--) {\n    var a = this._randrange(new bn(2), n1);\n\n    var g = n.gcd(a);\n    if (g.cmpn(1) !== 0)\n      return g;\n\n    var x = a.toRed(red).redPow(d);\n    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)\n      continue;\n\n    for (var i = 1; i < s; i++) {\n      x = x.redSqr();\n\n      if (x.cmp(rone) === 0)\n        return x.fromRed().subn(1).gcd(n);\n      if (x.cmp(rn1) === 0)\n        break;\n    }\n\n    if (i === s) {\n      x = x.redSqr();\n      return x.fromRed().subn(1).gcd(n);\n    }\n  }\n\n  return false;\n};\n","var randomBytes = require('randombytes');\nmodule.exports = findPrime;\nfindPrime.simpleSieve = simpleSieve;\nfindPrime.fermatTest = fermatTest;\nvar BN = require('bn.js');\nvar TWENTYFOUR = new BN(24);\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar ONE = new BN(1);\nvar TWO = new BN(2);\nvar FIVE = new BN(5);\nvar SIXTEEN = new BN(16);\nvar EIGHT = new BN(8);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar ELEVEN = new BN(11);\nvar FOUR = new BN(4);\nvar TWELVE = new BN(12);\nvar primes = null;\n\nfunction _getPrimes() {\n  if (primes !== null)\n    return primes;\n\n  var limit = 0x100000;\n  var res = [];\n  res[0] = 2;\n  for (var i = 1, k = 3; k < limit; k += 2) {\n    var sqrt = Math.ceil(Math.sqrt(k));\n    for (var j = 0; j < i && res[j] <= sqrt; j++)\n      if (k % res[j] === 0)\n        break;\n\n    if (i !== j && res[j] <= sqrt)\n      continue;\n\n    res[i++] = k;\n  }\n  primes = res;\n  return res;\n}\n\nfunction simpleSieve(p) {\n  var primes = _getPrimes();\n\n  for (var i = 0; i < primes.length; i++)\n    if (p.modn(primes[i]) === 0) {\n      if (p.cmpn(primes[i]) === 0) {\n        return true;\n      } else {\n        return false;\n      }\n    }\n\n  return true;\n}\n\nfunction fermatTest(p) {\n  var red = BN.mont(p);\n  return TWO.toRed(red).redPow(p.subn(1)).fromRed().cmpn(1) === 0;\n}\n\nfunction findPrime(bits, gen) {\n  if (bits < 16) {\n    // this is what openssl does\n    if (gen === 2 || gen === 5) {\n      return new BN([0x8c, 0x7b]);\n    } else {\n      return new BN([0x8c, 0x27]);\n    }\n  }\n  gen = new BN(gen);\n\n  var num, n2;\n\n  while (true) {\n    num = new BN(randomBytes(Math.ceil(bits / 8)));\n    while (num.bitLength() > bits) {\n      num.ishrn(1);\n    }\n    if (num.isEven()) {\n      num.iadd(ONE);\n    }\n    if (!num.testn(1)) {\n      num.iadd(TWO);\n    }\n    if (!gen.cmp(TWO)) {\n      while (num.mod(TWENTYFOUR).cmp(ELEVEN)) {\n        num.iadd(FOUR);\n      }\n    } else if (!gen.cmp(FIVE)) {\n      while (num.mod(TEN).cmp(THREE)) {\n        num.iadd(FOUR);\n      }\n    }\n    n2 = num.shrn(1);\n    if (simpleSieve(n2) && simpleSieve(num) &&\n      fermatTest(n2) && fermatTest(num) &&\n      millerRabin.test(n2) && millerRabin.test(num)) {\n      return num;\n    }\n  }\n\n}\n","var aes = require('./aes')\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('cipher-base')\nvar inherits = require('inherits')\n\nfunction StreamCipher (mode, key, iv, decrypt) {\n  Transform.call(this)\n\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._cache = Buffer.allocUnsafe(0)\n  this._secCache = Buffer.allocUnsafe(0)\n  this._decrypt = decrypt\n  this._mode = mode\n}\n\ninherits(StreamCipher, Transform)\n\nStreamCipher.prototype._update = function (chunk) {\n  return this._mode.encrypt(this, chunk, this._decrypt)\n}\n\nStreamCipher.prototype._final = function () {\n  this._cipher.scrub()\n}\n\nmodule.exports = StreamCipher\n","var aes = require('./aes')\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('cipher-base')\nvar inherits = require('inherits')\nvar GHASH = require('./ghash')\nvar xor = require('buffer-xor')\nvar incr32 = require('./incr32')\n\nfunction xorTest (a, b) {\n  var out = 0\n  if (a.length !== b.length) out++\n\n  var len = Math.min(a.length, b.length)\n  for (var i = 0; i < len; ++i) {\n    out += (a[i] ^ b[i])\n  }\n\n  return out\n}\n\nfunction calcIv (self, iv, ck) {\n  if (iv.length === 12) {\n    self._finID = Buffer.concat([iv, Buffer.from([0, 0, 0, 1])])\n    return Buffer.concat([iv, Buffer.from([0, 0, 0, 2])])\n  }\n  var ghash = new GHASH(ck)\n  var len = iv.length\n  var toPad = len % 16\n  ghash.update(iv)\n  if (toPad) {\n    toPad = 16 - toPad\n    ghash.update(Buffer.alloc(toPad, 0))\n  }\n  ghash.update(Buffer.alloc(8, 0))\n  var ivBits = len * 8\n  var tail = Buffer.alloc(8)\n  tail.writeUIntBE(ivBits, 0, 8)\n  ghash.update(tail)\n  self._finID = ghash.state\n  var out = Buffer.from(self._finID)\n  incr32(out)\n  return out\n}\nfunction StreamCipher (mode, key, iv, decrypt) {\n  Transform.call(this)\n\n  var h = Buffer.alloc(4, 0)\n\n  this._cipher = new aes.AES(key)\n  var ck = this._cipher.encryptBlock(h)\n  this._ghash = new GHASH(ck)\n  iv = calcIv(this, iv, ck)\n\n  this._prev = Buffer.from(iv)\n  this._cache = Buffer.allocUnsafe(0)\n  this._secCache = Buffer.allocUnsafe(0)\n  this._decrypt = decrypt\n  this._alen = 0\n  this._len = 0\n  this._mode = mode\n\n  this._authTag = null\n  this._called = false\n}\n\ninherits(StreamCipher, Transform)\n\nStreamCipher.prototype._update = function (chunk) {\n  if (!this._called && this._alen) {\n    var rump = 16 - (this._alen % 16)\n    if (rump < 16) {\n      rump = Buffer.alloc(rump, 0)\n      this._ghash.update(rump)\n    }\n  }\n\n  this._called = true\n  var out = this._mode.encrypt(this, chunk)\n  if (this._decrypt) {\n    this._ghash.update(chunk)\n  } else {\n    this._ghash.update(out)\n  }\n  this._len += chunk.length\n  return out\n}\n\nStreamCipher.prototype._final = function () {\n  if (this._decrypt && !this._authTag) throw new Error('Unsupported state or unable to authenticate data')\n\n  var tag = xor(this._ghash.final(this._alen * 8, this._len * 8), this._cipher.encryptBlock(this._finID))\n  if (this._decrypt && xorTest(tag, this._authTag)) throw new Error('Unsupported state or unable to authenticate data')\n\n  this._authTag = tag\n  this._cipher.scrub()\n}\n\nStreamCipher.prototype.getAuthTag = function getAuthTag () {\n  if (this._decrypt || !Buffer.isBuffer(this._authTag)) throw new Error('Attempting to get auth tag in unsupported state')\n\n  return this._authTag\n}\n\nStreamCipher.prototype.setAuthTag = function setAuthTag (tag) {\n  if (!this._decrypt) throw new Error('Attempting to set auth tag in unsupported state')\n\n  this._authTag = tag\n}\n\nStreamCipher.prototype.setAAD = function setAAD (buf) {\n  if (this._called) throw new Error('Attempting to set AAD in unsupported state')\n\n  this._ghash.update(buf)\n  this._alen += buf.length\n}\n\nmodule.exports = StreamCipher\n","function incr32 (iv) {\n  var len = iv.length\n  var item\n  while (len--) {\n    item = iv.readUInt8(len)\n    if (item === 255) {\n      iv.writeUInt8(0, len)\n    } else {\n      item++\n      iv.writeUInt8(item, len)\n      break\n    }\n  }\n}\nmodule.exports = incr32\n","var xor = require('buffer-xor')\nvar Buffer = require('safe-buffer').Buffer\nvar incr32 = require('../incr32')\n\nfunction getBlock (self) {\n  var out = self._cipher.encryptBlockRaw(self._prev)\n  incr32(self._prev)\n  return out\n}\n\nvar blockSize = 16\nexports.encrypt = function (self, chunk) {\n  var chunkNum = Math.ceil(chunk.length / blockSize)\n  var start = self._cache.length\n  self._cache = Buffer.concat([\n    self._cache,\n    Buffer.allocUnsafe(chunkNum * blockSize)\n  ])\n  for (var i = 0; i < chunkNum; i++) {\n    var out = getBlock(self)\n    var offset = start + i * blockSize\n    self._cache.writeUInt32BE(out[0], offset + 0)\n    self._cache.writeUInt32BE(out[1], offset + 4)\n    self._cache.writeUInt32BE(out[2], offset + 8)\n    self._cache.writeUInt32BE(out[3], offset + 12)\n  }\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","var md5 = require('create-hash/md5')\nvar RIPEMD160 = require('ripemd160')\nvar sha = require('sha.js')\n\nvar checkParameters = require('./precondition')\nvar defaultEncoding = require('./default-encoding')\nvar Buffer = require('safe-buffer').Buffer\nvar ZEROS = Buffer.alloc(128)\nvar sizes = {\n  md5: 16,\n  sha1: 20,\n  sha224: 28,\n  sha256: 32,\n  sha384: 48,\n  sha512: 64,\n  rmd160: 20,\n  ripemd160: 20\n}\n\nfunction Hmac (alg, key, saltLen) {\n  var hash = getDigest(alg)\n  var blocksize = (alg === 'sha512' || alg === 'sha384') ? 128 : 64\n\n  if (key.length > blocksize) {\n    key = hash(key)\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = Buffer.allocUnsafe(blocksize + sizes[alg])\n  var opad = Buffer.allocUnsafe(blocksize + sizes[alg])\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n\n  var ipad1 = Buffer.allocUnsafe(blocksize + saltLen + 4)\n  ipad.copy(ipad1, 0, 0, blocksize)\n  this.ipad1 = ipad1\n  this.ipad2 = ipad\n  this.opad = opad\n  this.alg = alg\n  this.blocksize = blocksize\n  this.hash = hash\n  this.size = sizes[alg]\n}\n\nHmac.prototype.run = function (data, ipad) {\n  data.copy(ipad, this.blocksize)\n  var h = this.hash(ipad)\n  h.copy(this.opad, this.blocksize)\n  return this.hash(this.opad)\n}\n\nfunction getDigest (alg) {\n  function shaFunc (data) {\n    return sha(alg).update(data).digest()\n  }\n  function rmd160Func (data) {\n    return new RIPEMD160().update(data).digest()\n  }\n\n  if (alg === 'rmd160' || alg === 'ripemd160') return rmd160Func\n  if (alg === 'md5') return md5\n  return shaFunc\n}\n\nfunction pbkdf2 (password, salt, iterations, keylen, digest) {\n  checkParameters(password, salt, iterations, keylen)\n\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding)\n  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding)\n\n  digest = digest || 'sha1'\n\n  var hmac = new Hmac(digest, password, salt.length)\n\n  var DK = Buffer.allocUnsafe(keylen)\n  var block1 = Buffer.allocUnsafe(salt.length + 4)\n  salt.copy(block1, 0, 0, salt.length)\n\n  var destPos = 0\n  var hLen = sizes[digest]\n  var l = Math.ceil(keylen / hLen)\n\n  for (var i = 1; i <= l; i++) {\n    block1.writeUInt32BE(i, salt.length)\n\n    var T = hmac.run(block1, hmac.ipad1)\n    var U = T\n\n    for (var j = 1; j < iterations; j++) {\n      U = hmac.run(U, hmac.ipad2)\n      for (var k = 0; k < hLen; k++) T[k] ^= U[k]\n    }\n\n    T.copy(DK, destPos)\n    destPos += hLen\n  }\n\n  return DK\n}\n\nmodule.exports = pbkdf2\n","var defaultEncoding\n/* istanbul ignore next */\nif (process.browser) {\n  defaultEncoding = 'utf-8'\n} else {\n  var pVersionMajor = parseInt(process.version.split('.')[0].slice(1), 10)\n\n  defaultEncoding = pVersionMajor >= 6 ? 'utf-8' : 'binary'\n}\nmodule.exports = defaultEncoding\n","var MAX_ALLOC = Math.pow(2, 30) - 1 // default in iojs\n\nfunction checkBuffer (buf, name) {\n  if (typeof buf !== 'string' && !Buffer.isBuffer(buf)) {\n    throw new TypeError(name + ' must be a buffer or string')\n  }\n}\n\nmodule.exports = function (password, salt, iterations, keylen) {\n  checkBuffer(password, 'Password')\n  checkBuffer(salt, 'Salt')\n\n  if (typeof iterations !== 'number') {\n    throw new TypeError('Iterations not a number')\n  }\n\n  if (iterations < 0) {\n    throw new TypeError('Bad iterations')\n  }\n\n  if (typeof keylen !== 'number') {\n    throw new TypeError('Key length not a number')\n  }\n\n  if (keylen < 0 || keylen > MAX_ALLOC || keylen !== keylen) { /* eslint no-self-compare: 0 */\n    throw new TypeError('Bad key length')\n  }\n}\n","exports.pbkdf2 = require('./lib/async')\nexports.pbkdf2Sync = require('./lib/sync')\n","var MD5 = require('md5.js')\n\nmodule.exports = function (buffer) {\n  return new MD5().update(buffer).digest()\n}\n","'use strict'\nvar inherits = require('inherits')\nvar Legacy = require('./legacy')\nvar Base = require('cipher-base')\nvar Buffer = require('safe-buffer').Buffer\nvar md5 = require('create-hash/md5')\nvar RIPEMD160 = require('ripemd160')\n\nvar sha = require('sha.js')\n\nvar ZEROS = Buffer.alloc(128)\n\nfunction Hmac (alg, key) {\n  Base.call(this, 'digest')\n  if (typeof key === 'string') {\n    key = Buffer.from(key)\n  }\n\n  var blocksize = (alg === 'sha512' || alg === 'sha384') ? 128 : 64\n\n  this._alg = alg\n  this._key = key\n  if (key.length > blocksize) {\n    var hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)\n    key = hash.update(key).digest()\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)\n  var opad = this._opad = Buffer.allocUnsafe(blocksize)\n\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n  this._hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)\n  this._hash.update(ipad)\n}\n\ninherits(Hmac, Base)\n\nHmac.prototype._update = function (data) {\n  this._hash.update(data)\n}\n\nHmac.prototype._final = function () {\n  var h = this._hash.digest()\n  var hash = this._alg === 'rmd160' ? new RIPEMD160() : sha(this._alg)\n  return hash.update(this._opad).update(h).digest()\n}\n\nmodule.exports = function createHmac (alg, key) {\n  alg = alg.toLowerCase()\n  if (alg === 'rmd160' || alg === 'ripemd160') {\n    return new Hmac('rmd160', key)\n  }\n  if (alg === 'md5') {\n    return new Legacy(md5, key)\n  }\n  return new Hmac(alg, key)\n}\n","var inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,\n  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,\n  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,\n  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,\n  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,\n  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,\n  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,\n  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,\n  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n]\n\nvar W = new Array(160)\n\nfunction Sha512 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha512, Hash)\n\nSha512.prototype.init = function () {\n  this._ah = 0x6a09e667\n  this._bh = 0xbb67ae85\n  this._ch = 0x3c6ef372\n  this._dh = 0xa54ff53a\n  this._eh = 0x510e527f\n  this._fh = 0x9b05688c\n  this._gh = 0x1f83d9ab\n  this._hh = 0x5be0cd19\n\n  this._al = 0xf3bcc908\n  this._bl = 0x84caa73b\n  this._cl = 0xfe94f82b\n  this._dl = 0x5f1d36f1\n  this._el = 0xade682d1\n  this._fl = 0x2b3e6c1f\n  this._gl = 0xfb41bd6b\n  this._hl = 0x137e2179\n\n  return this\n}\n\nfunction Ch (x, y, z) {\n  return z ^ (x & (y ^ z))\n}\n\nfunction maj (x, y, z) {\n  return (x & y) | (z & (x | y))\n}\n\nfunction sigma0 (x, xl) {\n  return (x >>> 28 | xl << 4) ^ (xl >>> 2 | x << 30) ^ (xl >>> 7 | x << 25)\n}\n\nfunction sigma1 (x, xl) {\n  return (x >>> 14 | xl << 18) ^ (x >>> 18 | xl << 14) ^ (xl >>> 9 | x << 23)\n}\n\nfunction Gamma0 (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7)\n}\n\nfunction Gamma0l (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7 | xl << 25)\n}\n\nfunction Gamma1 (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6)\n}\n\nfunction Gamma1l (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6 | xl << 26)\n}\n\nfunction getCarry (a, b) {\n  return (a >>> 0) < (b >>> 0) ? 1 : 0\n}\n\nSha512.prototype._update = function (M) {\n  var W = this._w\n\n  var ah = this._ah | 0\n  var bh = this._bh | 0\n  var ch = this._ch | 0\n  var dh = this._dh | 0\n  var eh = this._eh | 0\n  var fh = this._fh | 0\n  var gh = this._gh | 0\n  var hh = this._hh | 0\n\n  var al = this._al | 0\n  var bl = this._bl | 0\n  var cl = this._cl | 0\n  var dl = this._dl | 0\n  var el = this._el | 0\n  var fl = this._fl | 0\n  var gl = this._gl | 0\n  var hl = this._hl | 0\n\n  for (var i = 0; i < 32; i += 2) {\n    W[i] = M.readInt32BE(i * 4)\n    W[i + 1] = M.readInt32BE(i * 4 + 4)\n  }\n  for (; i < 160; i += 2) {\n    var xh = W[i - 15 * 2]\n    var xl = W[i - 15 * 2 + 1]\n    var gamma0 = Gamma0(xh, xl)\n    var gamma0l = Gamma0l(xl, xh)\n\n    xh = W[i - 2 * 2]\n    xl = W[i - 2 * 2 + 1]\n    var gamma1 = Gamma1(xh, xl)\n    var gamma1l = Gamma1l(xl, xh)\n\n    // W[i] = gamma0 + W[i - 7] + gamma1 + W[i - 16]\n    var Wi7h = W[i - 7 * 2]\n    var Wi7l = W[i - 7 * 2 + 1]\n\n    var Wi16h = W[i - 16 * 2]\n    var Wi16l = W[i - 16 * 2 + 1]\n\n    var Wil = (gamma0l + Wi7l) | 0\n    var Wih = (gamma0 + Wi7h + getCarry(Wil, gamma0l)) | 0\n    Wil = (Wil + gamma1l) | 0\n    Wih = (Wih + gamma1 + getCarry(Wil, gamma1l)) | 0\n    Wil = (Wil + Wi16l) | 0\n    Wih = (Wih + Wi16h + getCarry(Wil, Wi16l)) | 0\n\n    W[i] = Wih\n    W[i + 1] = Wil\n  }\n\n  for (var j = 0; j < 160; j += 2) {\n    Wih = W[j]\n    Wil = W[j + 1]\n\n    var majh = maj(ah, bh, ch)\n    var majl = maj(al, bl, cl)\n\n    var sigma0h = sigma0(ah, al)\n    var sigma0l = sigma0(al, ah)\n    var sigma1h = sigma1(eh, el)\n    var sigma1l = sigma1(el, eh)\n\n    // t1 = h + sigma1 + ch + K[j] + W[j]\n    var Kih = K[j]\n    var Kil = K[j + 1]\n\n    var chh = Ch(eh, fh, gh)\n    var chl = Ch(el, fl, gl)\n\n    var t1l = (hl + sigma1l) | 0\n    var t1h = (hh + sigma1h + getCarry(t1l, hl)) | 0\n    t1l = (t1l + chl) | 0\n    t1h = (t1h + chh + getCarry(t1l, chl)) | 0\n    t1l = (t1l + Kil) | 0\n    t1h = (t1h + Kih + getCarry(t1l, Kil)) | 0\n    t1l = (t1l + Wil) | 0\n    t1h = (t1h + Wih + getCarry(t1l, Wil)) | 0\n\n    // t2 = sigma0 + maj\n    var t2l = (sigma0l + majl) | 0\n    var t2h = (sigma0h + majh + getCarry(t2l, sigma0l)) | 0\n\n    hh = gh\n    hl = gl\n    gh = fh\n    gl = fl\n    fh = eh\n    fl = el\n    el = (dl + t1l) | 0\n    eh = (dh + t1h + getCarry(el, dl)) | 0\n    dh = ch\n    dl = cl\n    ch = bh\n    cl = bl\n    bh = ah\n    bl = al\n    al = (t1l + t2l) | 0\n    ah = (t1h + t2h + getCarry(al, t1l)) | 0\n  }\n\n  this._al = (this._al + al) | 0\n  this._bl = (this._bl + bl) | 0\n  this._cl = (this._cl + cl) | 0\n  this._dl = (this._dl + dl) | 0\n  this._el = (this._el + el) | 0\n  this._fl = (this._fl + fl) | 0\n  this._gl = (this._gl + gl) | 0\n  this._hl = (this._hl + hl) | 0\n\n  this._ah = (this._ah + ah + getCarry(this._al, al)) | 0\n  this._bh = (this._bh + bh + getCarry(this._bl, bl)) | 0\n  this._ch = (this._ch + ch + getCarry(this._cl, cl)) | 0\n  this._dh = (this._dh + dh + getCarry(this._dl, dl)) | 0\n  this._eh = (this._eh + eh + getCarry(this._el, el)) | 0\n  this._fh = (this._fh + fh + getCarry(this._fl, fl)) | 0\n  this._gh = (this._gh + gh + getCarry(this._gl, gl)) | 0\n  this._hh = (this._hh + hh + getCarry(this._hl, hl)) | 0\n}\n\nSha512.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(64)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n  writeInt64BE(this._gh, this._gl, 48)\n  writeInt64BE(this._hh, this._hl, 56)\n\n  return H\n}\n\nmodule.exports = Sha512\n","/**\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined\n * in FIPS 180-2\n * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n *\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x428A2F98, 0x71374491, 0xB5C0FBCF, 0xE9B5DBA5,\n  0x3956C25B, 0x59F111F1, 0x923F82A4, 0xAB1C5ED5,\n  0xD807AA98, 0x12835B01, 0x243185BE, 0x550C7DC3,\n  0x72BE5D74, 0x80DEB1FE, 0x9BDC06A7, 0xC19BF174,\n  0xE49B69C1, 0xEFBE4786, 0x0FC19DC6, 0x240CA1CC,\n  0x2DE92C6F, 0x4A7484AA, 0x5CB0A9DC, 0x76F988DA,\n  0x983E5152, 0xA831C66D, 0xB00327C8, 0xBF597FC7,\n  0xC6E00BF3, 0xD5A79147, 0x06CA6351, 0x14292967,\n  0x27B70A85, 0x2E1B2138, 0x4D2C6DFC, 0x53380D13,\n  0x650A7354, 0x766A0ABB, 0x81C2C92E, 0x92722C85,\n  0xA2BFE8A1, 0xA81A664B, 0xC24B8B70, 0xC76C51A3,\n  0xD192E819, 0xD6990624, 0xF40E3585, 0x106AA070,\n  0x19A4C116, 0x1E376C08, 0x2748774C, 0x34B0BCB5,\n  0x391C0CB3, 0x4ED8AA4A, 0x5B9CCA4F, 0x682E6FF3,\n  0x748F82EE, 0x78A5636F, 0x84C87814, 0x8CC70208,\n  0x90BEFFFA, 0xA4506CEB, 0xBEF9A3F7, 0xC67178F2\n]\n\nvar W = new Array(64)\n\nfunction Sha256 () {\n  this.init()\n\n  this._w = W // new Array(64)\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha256, Hash)\n\nSha256.prototype.init = function () {\n  this._a = 0x6a09e667\n  this._b = 0xbb67ae85\n  this._c = 0x3c6ef372\n  this._d = 0xa54ff53a\n  this._e = 0x510e527f\n  this._f = 0x9b05688c\n  this._g = 0x1f83d9ab\n  this._h = 0x5be0cd19\n\n  return this\n}\n\nfunction ch (x, y, z) {\n  return z ^ (x & (y ^ z))\n}\n\nfunction maj (x, y, z) {\n  return (x & y) | (z & (x | y))\n}\n\nfunction sigma0 (x) {\n  return (x >>> 2 | x << 30) ^ (x >>> 13 | x << 19) ^ (x >>> 22 | x << 10)\n}\n\nfunction sigma1 (x) {\n  return (x >>> 6 | x << 26) ^ (x >>> 11 | x << 21) ^ (x >>> 25 | x << 7)\n}\n\nfunction gamma0 (x) {\n  return (x >>> 7 | x << 25) ^ (x >>> 18 | x << 14) ^ (x >>> 3)\n}\n\nfunction gamma1 (x) {\n  return (x >>> 17 | x << 15) ^ (x >>> 19 | x << 13) ^ (x >>> 10)\n}\n\nSha256.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n  var f = this._f | 0\n  var g = this._g | 0\n  var h = this._h | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 64; ++i) W[i] = (gamma1(W[i - 2]) + W[i - 7] + gamma0(W[i - 15]) + W[i - 16]) | 0\n\n  for (var j = 0; j < 64; ++j) {\n    var T1 = (h + sigma1(e) + ch(e, f, g) + K[j] + W[j]) | 0\n    var T2 = (sigma0(a) + maj(a, b, c)) | 0\n\n    h = g\n    g = f\n    f = e\n    e = (d + T1) | 0\n    d = c\n    c = b\n    b = a\n    a = (T1 + T2) | 0\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n  this._f = (f + this._f) | 0\n  this._g = (g + this._g) | 0\n  this._h = (h + this._h) | 0\n}\n\nSha256.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(32)\n\n  H.writeInt32BE(this._a, 0)\n  H.writeInt32BE(this._b, 4)\n  H.writeInt32BE(this._c, 8)\n  H.writeInt32BE(this._d, 12)\n  H.writeInt32BE(this._e, 16)\n  H.writeInt32BE(this._f, 20)\n  H.writeInt32BE(this._g, 24)\n  H.writeInt32BE(this._h, 28)\n\n  return H\n}\n\nmodule.exports = Sha256\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a transform stream is a readable/writable stream where you do\n// something with the data.  Sometimes it's called a \"filter\",\n// but that's not a great name for it, since that implies a thing where\n// some bits pass through, and others are simply ignored.  (That would\n// be a valid example of a transform, of course.)\n//\n// While the output is causally related to the input, it's not a\n// necessarily symmetric or synchronous transformation.  For example,\n// a zlib stream might take multiple plain-text writes(), and then\n// emit a single compressed chunk some time in the future.\n//\n// Here's how this works:\n//\n// The Transform stream has all the aspects of the readable and writable\n// stream classes.  When you write(chunk), that calls _write(chunk,cb)\n// internally, and returns false if there's a lot of pending writes\n// buffered up.  When you call read(), that calls _read(n) until\n// there's enough pending readable data buffered up.\n//\n// In a transform stream, the written data is placed in a buffer.  When\n// _read(n) is called, it transforms the queued up data, calling the\n// buffered _write cb's as it consumes chunks.  If consuming a single\n// written chunk would result in multiple output chunks, then the first\n// outputted bit calls the readcb, and subsequent chunks just go into\n// the read buffer, and will cause it to emit 'readable' if necessary.\n//\n// This way, back-pressure is actually determined by the reading side,\n// since _read has to be called to start processing a new chunk.  However,\n// a pathological inflate type of transform can cause excessive buffering\n// here.  For example, imagine a stream where every byte of input is\n// interpreted as an integer from 0-255, and then results in that many\n// bytes of output.  Writing the 4 bytes {ff,ff,ff,ff} would result in\n// 1kb of data being output.  In this case, you could write a very small\n// amount of input, and end up with a very large amount of output.  In\n// such a pathological inflating mechanism, there'd be no way to tell\n// the system to stop doing the transform.  A single 4MB write could\n// cause the system to run out of memory.\n//\n// However, even in such a pathological case, only a single written chunk\n// would be consumed, and then the rest would wait (un-transformed) until\n// the results of the previous transformed chunk were consumed.\n\n'use strict';\n\nmodule.exports = Transform;\n\nvar Duplex = require('./_stream_duplex');\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nutil.inherits(Transform, Duplex);\n\nfunction afterTransform(er, data) {\n  var ts = this._transformState;\n  ts.transforming = false;\n\n  var cb = ts.writecb;\n\n  if (!cb) {\n    return this.emit('error', new Error('write callback called multiple times'));\n  }\n\n  ts.writechunk = null;\n  ts.writecb = null;\n\n  if (data != null) // single equals check for both `null` and `undefined`\n    this.push(data);\n\n  cb(er);\n\n  var rs = this._readableState;\n  rs.reading = false;\n  if (rs.needReadable || rs.length < rs.highWaterMark) {\n    this._read(rs.highWaterMark);\n  }\n}\n\nfunction Transform(options) {\n  if (!(this instanceof Transform)) return new Transform(options);\n\n  Duplex.call(this, options);\n\n  this._transformState = {\n    afterTransform: afterTransform.bind(this),\n    needTransform: false,\n    transforming: false,\n    writecb: null,\n    writechunk: null,\n    writeencoding: null\n  };\n\n  // start out asking for a readable event once data is transformed.\n  this._readableState.needReadable = true;\n\n  // we have implemented the _read method, and done the other things\n  // that Readable wants before the first _read call, so unset the\n  // sync guard flag.\n  this._readableState.sync = false;\n\n  if (options) {\n    if (typeof options.transform === 'function') this._transform = options.transform;\n\n    if (typeof options.flush === 'function') this._flush = options.flush;\n  }\n\n  // When the writable side finishes, then flush out anything remaining.\n  this.on('prefinish', prefinish);\n}\n\nfunction prefinish() {\n  var _this = this;\n\n  if (typeof this._flush === 'function') {\n    this._flush(function (er, data) {\n      done(_this, er, data);\n    });\n  } else {\n    done(this, null, null);\n  }\n}\n\nTransform.prototype.push = function (chunk, encoding) {\n  this._transformState.needTransform = false;\n  return Duplex.prototype.push.call(this, chunk, encoding);\n};\n\n// This is the part where you do stuff!\n// override this function in implementation classes.\n// 'chunk' is an input chunk.\n//\n// Call `push(newChunk)` to pass along transformed output\n// to the readable side.  You may call 'push' zero or more times.\n//\n// Call `cb(err)` when you are done with this chunk.  If you pass\n// an error, then that'll put the hurt on the whole operation.  If you\n// never call cb(), then you'll never get another chunk.\nTransform.prototype._transform = function (chunk, encoding, cb) {\n  throw new Error('_transform() is not implemented');\n};\n\nTransform.prototype._write = function (chunk, encoding, cb) {\n  var ts = this._transformState;\n  ts.writecb = cb;\n  ts.writechunk = chunk;\n  ts.writeencoding = encoding;\n  if (!ts.transforming) {\n    var rs = this._readableState;\n    if (ts.needTransform || rs.needReadable || rs.length < rs.highWaterMark) this._read(rs.highWaterMark);\n  }\n};\n\n// Doesn't matter what the args are here.\n// _transform does all the work.\n// That we got here means that the readable side wants more data.\nTransform.prototype._read = function (n) {\n  var ts = this._transformState;\n\n  if (ts.writechunk !== null && ts.writecb && !ts.transforming) {\n    ts.transforming = true;\n    this._transform(ts.writechunk, ts.writeencoding, ts.afterTransform);\n  } else {\n    // mark that we need a transform, so that any data that comes in\n    // will get processed, now that we've asked for it.\n    ts.needTransform = true;\n  }\n};\n\nTransform.prototype._destroy = function (err, cb) {\n  var _this2 = this;\n\n  Duplex.prototype._destroy.call(this, err, function (err2) {\n    cb(err2);\n    _this2.emit('close');\n  });\n};\n\nfunction done(stream, er, data) {\n  if (er) return stream.emit('error', er);\n\n  if (data != null) // single equals check for both `null` and `undefined`\n    stream.push(data);\n\n  // if there's nothing in the write buffer, then that means\n  // that nothing more will ever be provided\n  if (stream._writableState.length) throw new Error('Calling transform done when ws.length != 0');\n\n  if (stream._transformState.transforming) throw new Error('Calling transform done when still transforming');\n\n  return stream.push(null);\n}","'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\n// undocumented cb() API, needed for core, not for public API\nfunction destroy(err, cb) {\n  var _this = this;\n\n  var readableDestroyed = this._readableState && this._readableState.destroyed;\n  var writableDestroyed = this._writableState && this._writableState.destroyed;\n\n  if (readableDestroyed || writableDestroyed) {\n    if (cb) {\n      cb(err);\n    } else if (err && (!this._writableState || !this._writableState.errorEmitted)) {\n      pna.nextTick(emitErrorNT, this, err);\n    }\n    return this;\n  }\n\n  // we set destroyed to true before firing error callbacks in order\n  // to make it re-entrance safe in case destroy() is called within callbacks\n\n  if (this._readableState) {\n    this._readableState.destroyed = true;\n  }\n\n  // if this is a duplex stream mark the writable part as destroyed as well\n  if (this._writableState) {\n    this._writableState.destroyed = true;\n  }\n\n  this._destroy(err || null, function (err) {\n    if (!cb && err) {\n      pna.nextTick(emitErrorNT, _this, err);\n      if (_this._writableState) {\n        _this._writableState.errorEmitted = true;\n      }\n    } else if (cb) {\n      cb(err);\n    }\n  });\n\n  return this;\n}\n\nfunction undestroy() {\n  if (this._readableState) {\n    this._readableState.destroyed = false;\n    this._readableState.reading = false;\n    this._readableState.ended = false;\n    this._readableState.endEmitted = false;\n  }\n\n  if (this._writableState) {\n    this._writableState.destroyed = false;\n    this._writableState.ended = false;\n    this._writableState.ending = false;\n    this._writableState.finished = false;\n    this._writableState.errorEmitted = false;\n  }\n}\n\nfunction emitErrorNT(self, err) {\n  self.emit('error', err);\n}\n\nmodule.exports = {\n  destroy: destroy,\n  undestroy: undestroy\n};","module.exports = require('events').EventEmitter;\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Readable;\n\n/*<replacement>*/\nvar isArray = require('isarray');\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nReadable.ReadableState = ReadableState;\n\n/*<replacement>*/\nvar EE = require('events').EventEmitter;\n\nvar EElistenerCount = function (emitter, type) {\n  return emitter.listeners(type).length;\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar debugUtil = require('util');\nvar debug = void 0;\nif (debugUtil && debugUtil.debuglog) {\n  debug = debugUtil.debuglog('stream');\n} else {\n  debug = function () {};\n}\n/*</replacement>*/\n\nvar BufferList = require('./internal/streams/BufferList');\nvar destroyImpl = require('./internal/streams/destroy');\nvar StringDecoder;\n\nutil.inherits(Readable, Stream);\n\nvar kProxyEvents = ['error', 'close', 'destroy', 'pause', 'resume'];\n\nfunction prependListener(emitter, event, fn) {\n  // Sadly this is not cacheable as some libraries bundle their own\n  // event emitter implementation with them.\n  if (typeof emitter.prependListener === 'function') return emitter.prependListener(event, fn);\n\n  // This is a hack to make sure that our error handler is attached before any\n  // userland ones.  NEVER DO THIS. This is here only because this code needs\n  // to continue to work with older versions of Node.js that do not include\n  // the prependListener() method. The goal is to eventually remove this hack.\n  if (!emitter._events || !emitter._events[event]) emitter.on(event, fn);else if (isArray(emitter._events[event])) emitter._events[event].unshift(fn);else emitter._events[event] = [fn, emitter._events[event]];\n}\n\nfunction ReadableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag. Used to make read(n) ignore n and to\n  // make all the buffer merging and length checks go away\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.readableObjectMode;\n\n  // the point at which it stops calling _read() to fill the buffer\n  // Note: 0 is a valid value, means \"don't call _read preemptively ever\"\n  var hwm = options.highWaterMark;\n  var readableHwm = options.readableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (readableHwm || readableHwm === 0)) this.highWaterMark = readableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // A linked list is used to store data chunks instead of an array because the\n  // linked list can remove elements from the beginning faster than\n  // array.shift()\n  this.buffer = new BufferList();\n  this.length = 0;\n  this.pipes = null;\n  this.pipesCount = 0;\n  this.flowing = null;\n  this.ended = false;\n  this.endEmitted = false;\n  this.reading = false;\n\n  // a flag to be able to tell if the event 'readable'/'data' is emitted\n  // immediately, or on a later tick.  We set this to true at first, because\n  // any actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first read call.\n  this.sync = true;\n\n  // whenever we return null, then we set a flag to say\n  // that we're awaiting a 'readable' event emission.\n  this.needReadable = false;\n  this.emittedReadable = false;\n  this.readableListening = false;\n  this.resumeScheduled = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // the number of writers that are awaiting a drain event in .pipe()s\n  this.awaitDrain = 0;\n\n  // if true, a maybeReadMore has been scheduled\n  this.readingMore = false;\n\n  this.decoder = null;\n  this.encoding = null;\n  if (options.encoding) {\n    if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n    this.decoder = new StringDecoder(options.encoding);\n    this.encoding = options.encoding;\n  }\n}\n\nfunction Readable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  if (!(this instanceof Readable)) return new Readable(options);\n\n  this._readableState = new ReadableState(options, this);\n\n  // legacy\n  this.readable = true;\n\n  if (options) {\n    if (typeof options.read === 'function') this._read = options.read;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n  }\n\n  Stream.call(this);\n}\n\nObject.defineProperty(Readable.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._readableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n  }\n});\n\nReadable.prototype.destroy = destroyImpl.destroy;\nReadable.prototype._undestroy = destroyImpl.undestroy;\nReadable.prototype._destroy = function (err, cb) {\n  this.push(null);\n  cb(err);\n};\n\n// Manually shove something into the read() buffer.\n// This returns true if the highWaterMark has not been hit yet,\n// similar to how Writable.write() returns true if you should\n// write() some more.\nReadable.prototype.push = function (chunk, encoding) {\n  var state = this._readableState;\n  var skipChunkCheck;\n\n  if (!state.objectMode) {\n    if (typeof chunk === 'string') {\n      encoding = encoding || state.defaultEncoding;\n      if (encoding !== state.encoding) {\n        chunk = Buffer.from(chunk, encoding);\n        encoding = '';\n      }\n      skipChunkCheck = true;\n    }\n  } else {\n    skipChunkCheck = true;\n  }\n\n  return readableAddChunk(this, chunk, encoding, false, skipChunkCheck);\n};\n\n// Unshift should *always* be something directly out of read()\nReadable.prototype.unshift = function (chunk) {\n  return readableAddChunk(this, chunk, null, true, false);\n};\n\nfunction readableAddChunk(stream, chunk, encoding, addToFront, skipChunkCheck) {\n  var state = stream._readableState;\n  if (chunk === null) {\n    state.reading = false;\n    onEofChunk(stream, state);\n  } else {\n    var er;\n    if (!skipChunkCheck) er = chunkInvalid(state, chunk);\n    if (er) {\n      stream.emit('error', er);\n    } else if (state.objectMode || chunk && chunk.length > 0) {\n      if (typeof chunk !== 'string' && !state.objectMode && Object.getPrototypeOf(chunk) !== Buffer.prototype) {\n        chunk = _uint8ArrayToBuffer(chunk);\n      }\n\n      if (addToFront) {\n        if (state.endEmitted) stream.emit('error', new Error('stream.unshift() after end event'));else addChunk(stream, state, chunk, true);\n      } else if (state.ended) {\n        stream.emit('error', new Error('stream.push() after EOF'));\n      } else {\n        state.reading = false;\n        if (state.decoder && !encoding) {\n          chunk = state.decoder.write(chunk);\n          if (state.objectMode || chunk.length !== 0) addChunk(stream, state, chunk, false);else maybeReadMore(stream, state);\n        } else {\n          addChunk(stream, state, chunk, false);\n        }\n      }\n    } else if (!addToFront) {\n      state.reading = false;\n    }\n  }\n\n  return needMoreData(state);\n}\n\nfunction addChunk(stream, state, chunk, addToFront) {\n  if (state.flowing && state.length === 0 && !state.sync) {\n    stream.emit('data', chunk);\n    stream.read(0);\n  } else {\n    // update the buffer info.\n    state.length += state.objectMode ? 1 : chunk.length;\n    if (addToFront) state.buffer.unshift(chunk);else state.buffer.push(chunk);\n\n    if (state.needReadable) emitReadable(stream);\n  }\n  maybeReadMore(stream, state);\n}\n\nfunction chunkInvalid(state, chunk) {\n  var er;\n  if (!_isUint8Array(chunk) && typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  return er;\n}\n\n// if it's past the high water mark, we can push in some more.\n// Also, if we have no data yet, we can stand some\n// more bytes.  This is to work around cases where hwm=0,\n// such as the repl.  Also, if the push() triggered a\n// readable event, and the user called read(largeNumber) such that\n// needReadable was set, then we ought to push more, so that another\n// 'readable' event will be triggered.\nfunction needMoreData(state) {\n  return !state.ended && (state.needReadable || state.length < state.highWaterMark || state.length === 0);\n}\n\nReadable.prototype.isPaused = function () {\n  return this._readableState.flowing === false;\n};\n\n// backwards compatibility.\nReadable.prototype.setEncoding = function (enc) {\n  if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n  this._readableState.decoder = new StringDecoder(enc);\n  this._readableState.encoding = enc;\n  return this;\n};\n\n// Don't raise the hwm > 8MB\nvar MAX_HWM = 0x800000;\nfunction computeNewHighWaterMark(n) {\n  if (n >= MAX_HWM) {\n    n = MAX_HWM;\n  } else {\n    // Get the next highest power of 2 to prevent increasing hwm excessively in\n    // tiny amounts\n    n--;\n    n |= n >>> 1;\n    n |= n >>> 2;\n    n |= n >>> 4;\n    n |= n >>> 8;\n    n |= n >>> 16;\n    n++;\n  }\n  return n;\n}\n\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction howMuchToRead(n, state) {\n  if (n <= 0 || state.length === 0 && state.ended) return 0;\n  if (state.objectMode) return 1;\n  if (n !== n) {\n    // Only flow one buffer at a time\n    if (state.flowing && state.length) return state.buffer.head.data.length;else return state.length;\n  }\n  // If we're asking for more than the current hwm, then raise the hwm.\n  if (n > state.highWaterMark) state.highWaterMark = computeNewHighWaterMark(n);\n  if (n <= state.length) return n;\n  // Don't have enough\n  if (!state.ended) {\n    state.needReadable = true;\n    return 0;\n  }\n  return state.length;\n}\n\n// you can override either this method, or the async _read(n) below.\nReadable.prototype.read = function (n) {\n  debug('read', n);\n  n = parseInt(n, 10);\n  var state = this._readableState;\n  var nOrig = n;\n\n  if (n !== 0) state.emittedReadable = false;\n\n  // if we're doing read(0) to trigger a readable event, but we\n  // already have a bunch of data in the buffer, then just trigger\n  // the 'readable' event and move on.\n  if (n === 0 && state.needReadable && (state.length >= state.highWaterMark || state.ended)) {\n    debug('read: emitReadable', state.length, state.ended);\n    if (state.length === 0 && state.ended) endReadable(this);else emitReadable(this);\n    return null;\n  }\n\n  n = howMuchToRead(n, state);\n\n  // if we've ended, and we're now clear, then finish it up.\n  if (n === 0 && state.ended) {\n    if (state.length === 0) endReadable(this);\n    return null;\n  }\n\n  // All the actual chunk generation logic needs to be\n  // *below* the call to _read.  The reason is that in certain\n  // synthetic stream cases, such as passthrough streams, _read\n  // may be a completely synchronous operation which may change\n  // the state of the read buffer, providing enough data when\n  // before there was *not* enough.\n  //\n  // So, the steps are:\n  // 1. Figure out what the state of things will be after we do\n  // a read from the buffer.\n  //\n  // 2. If that resulting state will trigger a _read, then call _read.\n  // Note that this may be asynchronous, or synchronous.  Yes, it is\n  // deeply ugly to write APIs this way, but that still doesn't mean\n  // that the Readable class should behave improperly, as streams are\n  // designed to be sync/async agnostic.\n  // Take note if the _read call is sync or async (ie, if the read call\n  // has returned yet), so that we know whether or not it's safe to emit\n  // 'readable' etc.\n  //\n  // 3. Actually pull the requested chunks out of the buffer and return.\n\n  // if we need a readable event, then we need to do some reading.\n  var doRead = state.needReadable;\n  debug('need readable', doRead);\n\n  // if we currently have less than the highWaterMark, then also read some\n  if (state.length === 0 || state.length - n < state.highWaterMark) {\n    doRead = true;\n    debug('length less than watermark', doRead);\n  }\n\n  // however, if we've ended, then there's no point, and if we're already\n  // reading, then it's unnecessary.\n  if (state.ended || state.reading) {\n    doRead = false;\n    debug('reading or ended', doRead);\n  } else if (doRead) {\n    debug('do read');\n    state.reading = true;\n    state.sync = true;\n    // if the length is currently zero, then we *need* a readable event.\n    if (state.length === 0) state.needReadable = true;\n    // call internal read method\n    this._read(state.highWaterMark);\n    state.sync = false;\n    // If _read pushed data synchronously, then `reading` will be false,\n    // and we need to re-evaluate how much data we can return to the user.\n    if (!state.reading) n = howMuchToRead(nOrig, state);\n  }\n\n  var ret;\n  if (n > 0) ret = fromList(n, state);else ret = null;\n\n  if (ret === null) {\n    state.needReadable = true;\n    n = 0;\n  } else {\n    state.length -= n;\n  }\n\n  if (state.length === 0) {\n    // If we have nothing in the buffer, then we want to know\n    // as soon as we *do* get something into the buffer.\n    if (!state.ended) state.needReadable = true;\n\n    // If we tried to read() past the EOF, then emit end on the next tick.\n    if (nOrig !== n && state.ended) endReadable(this);\n  }\n\n  if (ret !== null) this.emit('data', ret);\n\n  return ret;\n};\n\nfunction onEofChunk(stream, state) {\n  if (state.ended) return;\n  if (state.decoder) {\n    var chunk = state.decoder.end();\n    if (chunk && chunk.length) {\n      state.buffer.push(chunk);\n      state.length += state.objectMode ? 1 : chunk.length;\n    }\n  }\n  state.ended = true;\n\n  // emit 'readable' now to make sure it gets picked up.\n  emitReadable(stream);\n}\n\n// Don't emit readable right away in sync mode, because this can trigger\n// another read() call => stack overflow.  This way, it might trigger\n// a nextTick recursion warning, but that's not so bad.\nfunction emitReadable(stream) {\n  var state = stream._readableState;\n  state.needReadable = false;\n  if (!state.emittedReadable) {\n    debug('emitReadable', state.flowing);\n    state.emittedReadable = true;\n    if (state.sync) pna.nextTick(emitReadable_, stream);else emitReadable_(stream);\n  }\n}\n\nfunction emitReadable_(stream) {\n  debug('emit readable');\n  stream.emit('readable');\n  flow(stream);\n}\n\n// at this point, the user has presumably seen the 'readable' event,\n// and called read() to consume some data.  that may have triggered\n// in turn another _read(n) call, in which case reading = true if\n// it's in progress.\n// However, if we're not ended, or reading, and the length < hwm,\n// then go ahead and try to read some more preemptively.\nfunction maybeReadMore(stream, state) {\n  if (!state.readingMore) {\n    state.readingMore = true;\n    pna.nextTick(maybeReadMore_, stream, state);\n  }\n}\n\nfunction maybeReadMore_(stream, state) {\n  var len = state.length;\n  while (!state.reading && !state.flowing && !state.ended && state.length < state.highWaterMark) {\n    debug('maybeReadMore read 0');\n    stream.read(0);\n    if (len === state.length)\n      // didn't get any data, stop spinning.\n      break;else len = state.length;\n  }\n  state.readingMore = false;\n}\n\n// abstract method.  to be overridden in specific implementation classes.\n// call cb(er, data) where data is <= n in length.\n// for virtual (non-string, non-buffer) streams, \"length\" is somewhat\n// arbitrary, and perhaps not very meaningful.\nReadable.prototype._read = function (n) {\n  this.emit('error', new Error('_read() is not implemented'));\n};\n\nReadable.prototype.pipe = function (dest, pipeOpts) {\n  var src = this;\n  var state = this._readableState;\n\n  switch (state.pipesCount) {\n    case 0:\n      state.pipes = dest;\n      break;\n    case 1:\n      state.pipes = [state.pipes, dest];\n      break;\n    default:\n      state.pipes.push(dest);\n      break;\n  }\n  state.pipesCount += 1;\n  debug('pipe count=%d opts=%j', state.pipesCount, pipeOpts);\n\n  var doEnd = (!pipeOpts || pipeOpts.end !== false) && dest !== process.stdout && dest !== process.stderr;\n\n  var endFn = doEnd ? onend : unpipe;\n  if (state.endEmitted) pna.nextTick(endFn);else src.once('end', endFn);\n\n  dest.on('unpipe', onunpipe);\n  function onunpipe(readable, unpipeInfo) {\n    debug('onunpipe');\n    if (readable === src) {\n      if (unpipeInfo && unpipeInfo.hasUnpiped === false) {\n        unpipeInfo.hasUnpiped = true;\n        cleanup();\n      }\n    }\n  }\n\n  function onend() {\n    debug('onend');\n    dest.end();\n  }\n\n  // when the dest drains, it reduces the awaitDrain counter\n  // on the source.  This would be more elegant with a .once()\n  // handler in flow(), but adding and removing repeatedly is\n  // too slow.\n  var ondrain = pipeOnDrain(src);\n  dest.on('drain', ondrain);\n\n  var cleanedUp = false;\n  function cleanup() {\n    debug('cleanup');\n    // cleanup event handlers once the pipe is broken\n    dest.removeListener('close', onclose);\n    dest.removeListener('finish', onfinish);\n    dest.removeListener('drain', ondrain);\n    dest.removeListener('error', onerror);\n    dest.removeListener('unpipe', onunpipe);\n    src.removeListener('end', onend);\n    src.removeListener('end', unpipe);\n    src.removeListener('data', ondata);\n\n    cleanedUp = true;\n\n    // if the reader is waiting for a drain event from this\n    // specific writer, then it would cause it to never start\n    // flowing again.\n    // So, if this is awaiting a drain, then we just call it now.\n    // If we don't know, then assume that we are waiting for one.\n    if (state.awaitDrain && (!dest._writableState || dest._writableState.needDrain)) ondrain();\n  }\n\n  // If the user pushes more data while we're writing to dest then we'll end up\n  // in ondata again. However, we only want to increase awaitDrain once because\n  // dest will only emit one 'drain' event for the multiple writes.\n  // => Introduce a guard on increasing awaitDrain.\n  var increasedAwaitDrain = false;\n  src.on('data', ondata);\n  function ondata(chunk) {\n    debug('ondata');\n    increasedAwaitDrain = false;\n    var ret = dest.write(chunk);\n    if (false === ret && !increasedAwaitDrain) {\n      // If the user unpiped during `dest.write()`, it is possible\n      // to get stuck in a permanently paused state if that write\n      // also returned false.\n      // => Check whether `dest` is still a piping destination.\n      if ((state.pipesCount === 1 && state.pipes === dest || state.pipesCount > 1 && indexOf(state.pipes, dest) !== -1) && !cleanedUp) {\n        debug('false write response, pause', src._readableState.awaitDrain);\n        src._readableState.awaitDrain++;\n        increasedAwaitDrain = true;\n      }\n      src.pause();\n    }\n  }\n\n  // if the dest has an error, then stop piping into it.\n  // however, don't suppress the throwing behavior for this.\n  function onerror(er) {\n    debug('onerror', er);\n    unpipe();\n    dest.removeListener('error', onerror);\n    if (EElistenerCount(dest, 'error') === 0) dest.emit('error', er);\n  }\n\n  // Make sure our error handler is attached before userland ones.\n  prependListener(dest, 'error', onerror);\n\n  // Both close and finish should trigger unpipe, but only once.\n  function onclose() {\n    dest.removeListener('finish', onfinish);\n    unpipe();\n  }\n  dest.once('close', onclose);\n  function onfinish() {\n    debug('onfinish');\n    dest.removeListener('close', onclose);\n    unpipe();\n  }\n  dest.once('finish', onfinish);\n\n  function unpipe() {\n    debug('unpipe');\n    src.unpipe(dest);\n  }\n\n  // tell the dest that it's being piped to\n  dest.emit('pipe', src);\n\n  // start the flow if it hasn't been started already.\n  if (!state.flowing) {\n    debug('pipe resume');\n    src.resume();\n  }\n\n  return dest;\n};\n\nfunction pipeOnDrain(src) {\n  return function () {\n    var state = src._readableState;\n    debug('pipeOnDrain', state.awaitDrain);\n    if (state.awaitDrain) state.awaitDrain--;\n    if (state.awaitDrain === 0 && EElistenerCount(src, 'data')) {\n      state.flowing = true;\n      flow(src);\n    }\n  };\n}\n\nReadable.prototype.unpipe = function (dest) {\n  var state = this._readableState;\n  var unpipeInfo = { hasUnpiped: false };\n\n  // if we're not piping anywhere, then do nothing.\n  if (state.pipesCount === 0) return this;\n\n  // just one destination.  most common case.\n  if (state.pipesCount === 1) {\n    // passed in one, but it's not the right one.\n    if (dest && dest !== state.pipes) return this;\n\n    if (!dest) dest = state.pipes;\n\n    // got a match.\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n    if (dest) dest.emit('unpipe', this, unpipeInfo);\n    return this;\n  }\n\n  // slow case. multiple pipe destinations.\n\n  if (!dest) {\n    // remove all.\n    var dests = state.pipes;\n    var len = state.pipesCount;\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n\n    for (var i = 0; i < len; i++) {\n      dests[i].emit('unpipe', this, unpipeInfo);\n    }return this;\n  }\n\n  // try to find the right one.\n  var index = indexOf(state.pipes, dest);\n  if (index === -1) return this;\n\n  state.pipes.splice(index, 1);\n  state.pipesCount -= 1;\n  if (state.pipesCount === 1) state.pipes = state.pipes[0];\n\n  dest.emit('unpipe', this, unpipeInfo);\n\n  return this;\n};\n\n// set up data events if they are asked for\n// Ensure readable listeners eventually get something\nReadable.prototype.on = function (ev, fn) {\n  var res = Stream.prototype.on.call(this, ev, fn);\n\n  if (ev === 'data') {\n    // Start flowing on next tick if stream isn't explicitly paused\n    if (this._readableState.flowing !== false) this.resume();\n  } else if (ev === 'readable') {\n    var state = this._readableState;\n    if (!state.endEmitted && !state.readableListening) {\n      state.readableListening = state.needReadable = true;\n      state.emittedReadable = false;\n      if (!state.reading) {\n        pna.nextTick(nReadingNextTick, this);\n      } else if (state.length) {\n        emitReadable(this);\n      }\n    }\n  }\n\n  return res;\n};\nReadable.prototype.addListener = Readable.prototype.on;\n\nfunction nReadingNextTick(self) {\n  debug('readable nexttick read 0');\n  self.read(0);\n}\n\n// pause() and resume() are remnants of the legacy readable stream API\n// If the user uses them, then switch into old mode.\nReadable.prototype.resume = function () {\n  var state = this._readableState;\n  if (!state.flowing) {\n    debug('resume');\n    state.flowing = true;\n    resume(this, state);\n  }\n  return this;\n};\n\nfunction resume(stream, state) {\n  if (!state.resumeScheduled) {\n    state.resumeScheduled = true;\n    pna.nextTick(resume_, stream, state);\n  }\n}\n\nfunction resume_(stream, state) {\n  if (!state.reading) {\n    debug('resume read 0');\n    stream.read(0);\n  }\n\n  state.resumeScheduled = false;\n  state.awaitDrain = 0;\n  stream.emit('resume');\n  flow(stream);\n  if (state.flowing && !state.reading) stream.read(0);\n}\n\nReadable.prototype.pause = function () {\n  debug('call pause flowing=%j', this._readableState.flowing);\n  if (false !== this._readableState.flowing) {\n    debug('pause');\n    this._readableState.flowing = false;\n    this.emit('pause');\n  }\n  return this;\n};\n\nfunction flow(stream) {\n  var state = stream._readableState;\n  debug('flow', state.flowing);\n  while (state.flowing && stream.read() !== null) {}\n}\n\n// wrap an old-style stream as the async data source.\n// This is *not* part of the readable stream interface.\n// It is an ugly unfortunate mess of history.\nReadable.prototype.wrap = function (stream) {\n  var _this = this;\n\n  var state = this._readableState;\n  var paused = false;\n\n  stream.on('end', function () {\n    debug('wrapped end');\n    if (state.decoder && !state.ended) {\n      var chunk = state.decoder.end();\n      if (chunk && chunk.length) _this.push(chunk);\n    }\n\n    _this.push(null);\n  });\n\n  stream.on('data', function (chunk) {\n    debug('wrapped data');\n    if (state.decoder) chunk = state.decoder.write(chunk);\n\n    // don't skip over falsy values in objectMode\n    if (state.objectMode && (chunk === null || chunk === undefined)) return;else if (!state.objectMode && (!chunk || !chunk.length)) return;\n\n    var ret = _this.push(chunk);\n    if (!ret) {\n      paused = true;\n      stream.pause();\n    }\n  });\n\n  // proxy all the other methods.\n  // important when wrapping filters and duplexes.\n  for (var i in stream) {\n    if (this[i] === undefined && typeof stream[i] === 'function') {\n      this[i] = function (method) {\n        return function () {\n          return stream[method].apply(stream, arguments);\n        };\n      }(i);\n    }\n  }\n\n  // proxy certain important events.\n  for (var n = 0; n < kProxyEvents.length; n++) {\n    stream.on(kProxyEvents[n], this.emit.bind(this, kProxyEvents[n]));\n  }\n\n  // when we try to consume some more bytes, simply unpause the\n  // underlying stream.\n  this._read = function (n) {\n    debug('wrapped _read', n);\n    if (paused) {\n      paused = false;\n      stream.resume();\n    }\n  };\n\n  return this;\n};\n\nObject.defineProperty(Readable.prototype, 'readableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._readableState.highWaterMark;\n  }\n});\n\n// exposed for testing purposes only.\nReadable._fromList = fromList;\n\n// Pluck off n bytes from an array of buffers.\n// Length is the combined lengths of all the buffers in the list.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromList(n, state) {\n  // nothing buffered\n  if (state.length === 0) return null;\n\n  var ret;\n  if (state.objectMode) ret = state.buffer.shift();else if (!n || n >= state.length) {\n    // read it all, truncate the list\n    if (state.decoder) ret = state.buffer.join('');else if (state.buffer.length === 1) ret = state.buffer.head.data;else ret = state.buffer.concat(state.length);\n    state.buffer.clear();\n  } else {\n    // read part of list\n    ret = fromListPartial(n, state.buffer, state.decoder);\n  }\n\n  return ret;\n}\n\n// Extracts only enough buffered data to satisfy the amount requested.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromListPartial(n, list, hasStrings) {\n  var ret;\n  if (n < list.head.data.length) {\n    // slice is the same for buffers and strings\n    ret = list.head.data.slice(0, n);\n    list.head.data = list.head.data.slice(n);\n  } else if (n === list.head.data.length) {\n    // first chunk is a perfect match\n    ret = list.shift();\n  } else {\n    // result spans more than one buffer\n    ret = hasStrings ? copyFromBufferString(n, list) : copyFromBuffer(n, list);\n  }\n  return ret;\n}\n\n// Copies a specified amount of characters from the list of buffered data\n// chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBufferString(n, list) {\n  var p = list.head;\n  var c = 1;\n  var ret = p.data;\n  n -= ret.length;\n  while (p = p.next) {\n    var str = p.data;\n    var nb = n > str.length ? str.length : n;\n    if (nb === str.length) ret += str;else ret += str.slice(0, n);\n    n -= nb;\n    if (n === 0) {\n      if (nb === str.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = str.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\n// Copies a specified amount of bytes from the list of buffered data chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBuffer(n, list) {\n  var ret = Buffer.allocUnsafe(n);\n  var p = list.head;\n  var c = 1;\n  p.data.copy(ret);\n  n -= p.data.length;\n  while (p = p.next) {\n    var buf = p.data;\n    var nb = n > buf.length ? buf.length : n;\n    buf.copy(ret, ret.length - n, 0, nb);\n    n -= nb;\n    if (n === 0) {\n      if (nb === buf.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = buf.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\nfunction endReadable(stream) {\n  var state = stream._readableState;\n\n  // If we get here before consuming all the bytes, then that is a\n  // bug in node.  Should never happen.\n  if (state.length > 0) throw new Error('\"endReadable()\" called on non-empty stream');\n\n  if (!state.endEmitted) {\n    state.ended = true;\n    pna.nextTick(endReadableNT, state, stream);\n  }\n}\n\nfunction endReadableNT(state, stream) {\n  // Check that we didn't get one last unshift.\n  if (!state.endEmitted && state.length === 0) {\n    state.endEmitted = true;\n    stream.readable = false;\n    stream.emit('end');\n  }\n}\n\nfunction indexOf(xs, x) {\n  for (var i = 0, l = xs.length; i < l; i++) {\n    if (xs[i] === x) return i;\n  }\n  return -1;\n}","'use strict'\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar inherits = require('inherits')\n\nfunction throwIfNotStringOrBuffer (val, prefix) {\n  if (!Buffer.isBuffer(val) && typeof val !== 'string') {\n    throw new TypeError(prefix + ' must be a string or a buffer')\n  }\n}\n\nfunction HashBase (blockSize) {\n  Transform.call(this)\n\n  this._block = Buffer.allocUnsafe(blockSize)\n  this._blockSize = blockSize\n  this._blockOffset = 0\n  this._length = [0, 0, 0, 0]\n\n  this._finalized = false\n}\n\ninherits(HashBase, Transform)\n\nHashBase.prototype._transform = function (chunk, encoding, callback) {\n  var error = null\n  try {\n    this.update(chunk, encoding)\n  } catch (err) {\n    error = err\n  }\n\n  callback(error)\n}\n\nHashBase.prototype._flush = function (callback) {\n  var error = null\n  try {\n    this.push(this.digest())\n  } catch (err) {\n    error = err\n  }\n\n  callback(error)\n}\n\nHashBase.prototype.update = function (data, encoding) {\n  throwIfNotStringOrBuffer(data, 'Data')\n  if (this._finalized) throw new Error('Digest already called')\n  if (!Buffer.isBuffer(data)) data = Buffer.from(data, encoding)\n\n  // consume data\n  var block = this._block\n  var offset = 0\n  while (this._blockOffset + data.length - offset >= this._blockSize) {\n    for (var i = this._blockOffset; i < this._blockSize;) block[i++] = data[offset++]\n    this._update()\n    this._blockOffset = 0\n  }\n  while (offset < data.length) block[this._blockOffset++] = data[offset++]\n\n  // update length\n  for (var j = 0, carry = data.length * 8; carry > 0; ++j) {\n    this._length[j] += carry\n    carry = (this._length[j] / 0x0100000000) | 0\n    if (carry > 0) this._length[j] -= 0x0100000000 * carry\n  }\n\n  return this\n}\n\nHashBase.prototype._update = function () {\n  throw new Error('_update is not implemented')\n}\n\nHashBase.prototype.digest = function (encoding) {\n  if (this._finalized) throw new Error('Digest already called')\n  this._finalized = true\n\n  var digest = this._digest()\n  if (encoding !== undefined) digest = digest.toString(encoding)\n\n  // reset state\n  this._block.fill(0)\n  this._blockOffset = 0\n  for (var i = 0; i < 4; ++i) this._length[i] = 0\n\n  return digest\n}\n\nHashBase.prototype._digest = function () {\n  throw new Error('_digest is not implemented')\n}\n\nmodule.exports = HashBase\n","'use strict'\n\nexports.randomBytes = exports.rng = exports.pseudoRandomBytes = exports.prng = require('randombytes')\nexports.createHash = exports.Hash = require('create-hash')\nexports.createHmac = exports.Hmac = require('create-hmac')\n\nvar algos = require('browserify-sign/algos')\nvar algoKeys = Object.keys(algos)\nvar hashes = ['sha1', 'sha224', 'sha256', 'sha384', 'sha512', 'md5', 'rmd160'].concat(algoKeys)\nexports.getHashes = function () {\n  return hashes\n}\n\nvar p = require('pbkdf2')\nexports.pbkdf2 = p.pbkdf2\nexports.pbkdf2Sync = p.pbkdf2Sync\n\nvar aes = require('browserify-cipher')\n\nexports.Cipher = aes.Cipher\nexports.createCipher = aes.createCipher\nexports.Cipheriv = aes.Cipheriv\nexports.createCipheriv = aes.createCipheriv\nexports.Decipher = aes.Decipher\nexports.createDecipher = aes.createDecipher\nexports.Decipheriv = aes.Decipheriv\nexports.createDecipheriv = aes.createDecipheriv\nexports.getCiphers = aes.getCiphers\nexports.listCiphers = aes.listCiphers\n\nvar dh = require('diffie-hellman')\n\nexports.DiffieHellmanGroup = dh.DiffieHellmanGroup\nexports.createDiffieHellmanGroup = dh.createDiffieHellmanGroup\nexports.getDiffieHellman = dh.getDiffieHellman\nexports.createDiffieHellman = dh.createDiffieHellman\nexports.DiffieHellman = dh.DiffieHellman\n\nvar sign = require('browserify-sign')\n\nexports.createSign = sign.createSign\nexports.Sign = sign.Sign\nexports.createVerify = sign.createVerify\nexports.Verify = sign.Verify\n\nexports.createECDH = require('create-ecdh')\n\nvar publicEncrypt = require('public-encrypt')\n\nexports.publicEncrypt = publicEncrypt.publicEncrypt\nexports.privateEncrypt = publicEncrypt.privateEncrypt\nexports.publicDecrypt = publicEncrypt.publicDecrypt\nexports.privateDecrypt = publicEncrypt.privateDecrypt\n\n// the least I can do is make error messages for the rest of the node.js/crypto api.\n// ;[\n//   'createCredentials'\n// ].forEach(function (name) {\n//   exports[name] = function () {\n//     throw new Error([\n//       'sorry, ' + name + ' is not implemented yet',\n//       'we accept pull requests',\n//       'https://github.com/crypto-browserify/crypto-browserify'\n//     ].join('\\n'))\n//   }\n// })\n\nvar rf = require('randomfill')\n\nexports.randomFill = rf.randomFill\nexports.randomFillSync = rf.randomFillSync\n\nexports.createCredentials = function () {\n  throw new Error([\n    'sorry, createCredentials is not implemented yet',\n    'we accept pull requests',\n    'https://github.com/crypto-browserify/crypto-browserify'\n  ].join('\\n'))\n}\n\nexports.constants = {\n  'DH_CHECK_P_NOT_SAFE_PRIME': 2,\n  'DH_CHECK_P_NOT_PRIME': 1,\n  'DH_UNABLE_TO_CHECK_GENERATOR': 4,\n  'DH_NOT_SUITABLE_GENERATOR': 8,\n  'NPN_ENABLED': 1,\n  'ALPN_ENABLED': 1,\n  'RSA_PKCS1_PADDING': 1,\n  'RSA_SSLV23_PADDING': 2,\n  'RSA_NO_PADDING': 3,\n  'RSA_PKCS1_OAEP_PADDING': 4,\n  'RSA_X931_PADDING': 5,\n  'RSA_PKCS1_PSS_PADDING': 6,\n  'POINT_CONVERSION_COMPRESSED': 2,\n  'POINT_CONVERSION_UNCOMPRESSED': 4,\n  'POINT_CONVERSION_HYBRID': 6\n}\n","var toString = {}.toString;\n\nmodule.exports = Array.isArray || function (arr) {\n  return toString.call(arr) == '[object Array]';\n};\n","var has = require('./_has');\nvar toIObject = require('./_to-iobject');\nvar arrayIndexOf = require('./_array-includes')(false);\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\n\nmodule.exports = function (object, names) {\n  var O = toIObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) if (key != IE_PROTO) has(O, key) && result.push(key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (has(O, key = names[i++])) {\n    ~arrayIndexOf(result, key) || result.push(key);\n  }\n  return result;\n};\n","module.exports = !require('./_descriptors') && !require('./_fails')(function () {\n  return Object.defineProperty(require('./_dom-create')('div'), 'a', { get: function () { return 7; } }).a != 7;\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nmodule.exports = Math.scale || function scale(x, inLow, inHigh, outLow, outHigh) {\n  if (\n    arguments.length === 0\n      // eslint-disable-next-line no-self-compare\n      || x != x\n      // eslint-disable-next-line no-self-compare\n      || inLow != inLow\n      // eslint-disable-next-line no-self-compare\n      || inHigh != inHigh\n      // eslint-disable-next-line no-self-compare\n      || outLow != outLow\n      // eslint-disable-next-line no-self-compare\n      || outHigh != outHigh\n  ) return NaN;\n  if (x === Infinity || x === -Infinity) return x;\n  return (x - inLow) * (outHigh - outLow) / (inHigh - inLow) + outLow;\n};\n","var forOf = require('./_for-of');\n\nmodule.exports = function (iter, ITERATOR) {\n  var result = [];\n  forOf(iter, false, result.push, result, ITERATOR);\n  return result;\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar classof = require('./_classof');\nvar from = require('./_array-from-iterable');\nmodule.exports = function (NAME) {\n  return function toJSON() {\n    if (classof(this) != NAME) throw TypeError(NAME + \"#toJSON isn't generic\");\n    return from(this);\n  };\n};\n","var getKeys = require('./_object-keys');\nvar toIObject = require('./_to-iobject');\nvar isEnum = require('./_object-pie').f;\nmodule.exports = function (isEntries) {\n  return function (it) {\n    var O = toIObject(it);\n    var keys = getKeys(O);\n    var length = keys.length;\n    var i = 0;\n    var result = [];\n    var key;\n    while (length > i) if (isEnum.call(O, key = keys[i++])) {\n      result.push(isEntries ? [key, O[key]] : O[key]);\n    } return result;\n  };\n};\n","// https://github.com/tc39/proposal-string-pad-start-end\nvar toLength = require('./_to-length');\nvar repeat = require('./_string-repeat');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, maxLength, fillString, left) {\n  var S = String(defined(that));\n  var stringLength = S.length;\n  var fillStr = fillString === undefined ? ' ' : String(fillString);\n  var intMaxLength = toLength(maxLength);\n  if (intMaxLength <= stringLength || fillStr == '') return S;\n  var fillLen = intMaxLength - stringLength;\n  var stringFiller = repeat.call(fillStr, Math.ceil(fillLen / fillStr.length));\n  if (stringFiller.length > fillLen) stringFiller = stringFiller.slice(0, fillLen);\n  return left ? stringFiller + S : S + stringFiller;\n};\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-FlattenIntoArray\nvar isArray = require('./_is-array');\nvar isObject = require('./_is-object');\nvar toLength = require('./_to-length');\nvar ctx = require('./_ctx');\nvar IS_CONCAT_SPREADABLE = require('./_wks')('isConcatSpreadable');\n\nfunction flattenIntoArray(target, original, source, sourceLen, start, depth, mapper, thisArg) {\n  var targetIndex = start;\n  var sourceIndex = 0;\n  var mapFn = mapper ? ctx(mapper, thisArg, 3) : false;\n  var element, spreadable;\n\n  while (sourceIndex < sourceLen) {\n    if (sourceIndex in source) {\n      element = mapFn ? mapFn(source[sourceIndex], sourceIndex, original) : source[sourceIndex];\n\n      spreadable = false;\n      if (isObject(element)) {\n        spreadable = element[IS_CONCAT_SPREADABLE];\n        spreadable = spreadable !== undefined ? !!spreadable : isArray(element);\n      }\n\n      if (spreadable && depth > 0) {\n        targetIndex = flattenIntoArray(target, original, element, toLength(element.length), targetIndex, depth - 1) - 1;\n      } else {\n        if (targetIndex >= 0x1fffffffffffff) throw TypeError();\n        target[targetIndex] = element;\n      }\n\n      targetIndex++;\n    }\n    sourceIndex++;\n  }\n  return targetIndex;\n}\n\nmodule.exports = flattenIntoArray;\n","// all object keys, includes non-enumerable and symbols\nvar gOPN = require('./_object-gopn');\nvar gOPS = require('./_object-gops');\nvar anObject = require('./_an-object');\nvar Reflect = require('./_global').Reflect;\nmodule.exports = Reflect && Reflect.ownKeys || function ownKeys(it) {\n  var keys = gOPN.f(anObject(it));\n  var getSymbols = gOPS.f;\n  return getSymbols ? keys.concat(getSymbols(it)) : keys;\n};\n","// https://tc39.github.io/ecma262/#sec-toindex\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nmodule.exports = function (it) {\n  if (it === undefined) return 0;\n  var number = toInteger(it);\n  var length = toLength(number);\n  if (number !== length) throw RangeError('Wrong length!');\n  return length;\n};\n","'use strict';\nvar redefineAll = require('./_redefine-all');\nvar getWeak = require('./_meta').getWeak;\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar createArrayMethod = require('./_array-methods');\nvar $has = require('./_has');\nvar validate = require('./_validate-collection');\nvar arrayFind = createArrayMethod(5);\nvar arrayFindIndex = createArrayMethod(6);\nvar id = 0;\n\n// fallback for uncaught frozen keys\nvar uncaughtFrozenStore = function (that) {\n  return that._l || (that._l = new UncaughtFrozenStore());\n};\nvar UncaughtFrozenStore = function () {\n  this.a = [];\n};\nvar findUncaughtFrozen = function (store, key) {\n  return arrayFind(store.a, function (it) {\n    return it[0] === key;\n  });\n};\nUncaughtFrozenStore.prototype = {\n  get: function (key) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) return entry[1];\n  },\n  has: function (key) {\n    return !!findUncaughtFrozen(this, key);\n  },\n  set: function (key, value) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) entry[1] = value;\n    else this.a.push([key, value]);\n  },\n  'delete': function (key) {\n    var index = arrayFindIndex(this.a, function (it) {\n      return it[0] === key;\n    });\n    if (~index) this.a.splice(index, 1);\n    return !!~index;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;      // collection type\n      that._i = id++;      // collection id\n      that._l = undefined; // leak store for uncaught frozen objects\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.3.3.2 WeakMap.prototype.delete(key)\n      // 23.4.3.3 WeakSet.prototype.delete(value)\n      'delete': function (key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME))['delete'](key);\n        return data && $has(data, this._i) && delete data[this._i];\n      },\n      // 23.3.3.4 WeakMap.prototype.has(key)\n      // 23.4.3.4 WeakSet.prototype.has(value)\n      has: function has(key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME)).has(key);\n        return data && $has(data, this._i);\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var data = getWeak(anObject(key), true);\n    if (data === true) uncaughtFrozenStore(that).set(key, value);\n    else data[that._i] = value;\n    return that;\n  },\n  ufstore: uncaughtFrozenStore\n};\n","'use strict';\nvar each = require('./_array-methods')(0);\nvar redefine = require('./_redefine');\nvar meta = require('./_meta');\nvar assign = require('./_object-assign');\nvar weak = require('./_collection-weak');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar validate = require('./_validate-collection');\nvar WEAK_MAP = 'WeakMap';\nvar getWeak = meta.getWeak;\nvar isExtensible = Object.isExtensible;\nvar uncaughtFrozenStore = weak.ufstore;\nvar tmp = {};\nvar InternalMap;\n\nvar wrapper = function (get) {\n  return function WeakMap() {\n    return get(this, arguments.length > 0 ? arguments[0] : undefined);\n  };\n};\n\nvar methods = {\n  // 23.3.3.3 WeakMap.prototype.get(key)\n  get: function get(key) {\n    if (isObject(key)) {\n      var data = getWeak(key);\n      if (data === true) return uncaughtFrozenStore(validate(this, WEAK_MAP)).get(key);\n      return data ? data[this._i] : undefined;\n    }\n  },\n  // 23.3.3.5 WeakMap.prototype.set(key, value)\n  set: function set(key, value) {\n    return weak.def(validate(this, WEAK_MAP), key, value);\n  }\n};\n\n// 23.3 WeakMap Objects\nvar $WeakMap = module.exports = require('./_collection')(WEAK_MAP, wrapper, methods, weak, true, true);\n\n// IE11 WeakMap frozen keys fix\nif (fails(function () { return new $WeakMap().set((Object.freeze || Object)(tmp), 7).get(tmp) != 7; })) {\n  InternalMap = weak.getConstructor(wrapper, WEAK_MAP);\n  assign(InternalMap.prototype, methods);\n  meta.NEED = true;\n  each(['delete', 'has', 'get', 'set'], function (key) {\n    var proto = $WeakMap.prototype;\n    var method = proto[key];\n    redefine(proto, key, function (a, b) {\n      // store frozen objects on internal weakmap shim\n      if (isObject(a) && !isExtensible(a)) {\n        if (!this._f) this._f = new InternalMap();\n        var result = this._f[key](a, b);\n        return key == 'set' ? this : result;\n      // store all the rest on native weakmap\n      } return method.call(this, a, b);\n    });\n  });\n}\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar SET = 'Set';\n\n// 23.2 Set Objects\nmodule.exports = require('./_collection')(SET, function (get) {\n  return function Set() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.2.3.1 Set.prototype.add(value)\n  add: function add(value) {\n    return strong.def(validate(this, SET), value = value === 0 ? 0 : value, value);\n  }\n}, strong);\n","'use strict';\nvar dP = require('./_object-dp').f;\nvar create = require('./_object-create');\nvar redefineAll = require('./_redefine-all');\nvar ctx = require('./_ctx');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar $iterDefine = require('./_iter-define');\nvar step = require('./_iter-step');\nvar setSpecies = require('./_set-species');\nvar DESCRIPTORS = require('./_descriptors');\nvar fastKey = require('./_meta').fastKey;\nvar validate = require('./_validate-collection');\nvar SIZE = DESCRIPTORS ? '_s' : 'size';\n\nvar getEntry = function (that, key) {\n  // fast case\n  var index = fastKey(key);\n  var entry;\n  if (index !== 'F') return that._i[index];\n  // frozen object case\n  for (entry = that._f; entry; entry = entry.n) {\n    if (entry.k == key) return entry;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;         // collection type\n      that._i = create(null); // index\n      that._f = undefined;    // first entry\n      that._l = undefined;    // last entry\n      that[SIZE] = 0;         // size\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.1.3.1 Map.prototype.clear()\n      // 23.2.3.2 Set.prototype.clear()\n      clear: function clear() {\n        for (var that = validate(this, NAME), data = that._i, entry = that._f; entry; entry = entry.n) {\n          entry.r = true;\n          if (entry.p) entry.p = entry.p.n = undefined;\n          delete data[entry.i];\n        }\n        that._f = that._l = undefined;\n        that[SIZE] = 0;\n      },\n      // 23.1.3.3 Map.prototype.delete(key)\n      // 23.2.3.4 Set.prototype.delete(value)\n      'delete': function (key) {\n        var that = validate(this, NAME);\n        var entry = getEntry(that, key);\n        if (entry) {\n          var next = entry.n;\n          var prev = entry.p;\n          delete that._i[entry.i];\n          entry.r = true;\n          if (prev) prev.n = next;\n          if (next) next.p = prev;\n          if (that._f == entry) that._f = next;\n          if (that._l == entry) that._l = prev;\n          that[SIZE]--;\n        } return !!entry;\n      },\n      // 23.2.3.6 Set.prototype.forEach(callbackfn, thisArg = undefined)\n      // 23.1.3.5 Map.prototype.forEach(callbackfn, thisArg = undefined)\n      forEach: function forEach(callbackfn /* , that = undefined */) {\n        validate(this, NAME);\n        var f = ctx(callbackfn, arguments.length > 1 ? arguments[1] : undefined, 3);\n        var entry;\n        while (entry = entry ? entry.n : this._f) {\n          f(entry.v, entry.k, this);\n          // revert to the last existing entry\n          while (entry && entry.r) entry = entry.p;\n        }\n      },\n      // 23.1.3.7 Map.prototype.has(key)\n      // 23.2.3.7 Set.prototype.has(value)\n      has: function has(key) {\n        return !!getEntry(validate(this, NAME), key);\n      }\n    });\n    if (DESCRIPTORS) dP(C.prototype, 'size', {\n      get: function () {\n        return validate(this, NAME)[SIZE];\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var entry = getEntry(that, key);\n    var prev, index;\n    // change existing entry\n    if (entry) {\n      entry.v = value;\n    // create new entry\n    } else {\n      that._l = entry = {\n        i: index = fastKey(key, true), // <- index\n        k: key,                        // <- key\n        v: value,                      // <- value\n        p: prev = that._l,             // <- previous entry\n        n: undefined,                  // <- next entry\n        r: false                       // <- removed\n      };\n      if (!that._f) that._f = entry;\n      if (prev) prev.n = entry;\n      that[SIZE]++;\n      // add to index\n      if (index !== 'F') that._i[index] = entry;\n    } return that;\n  },\n  getEntry: getEntry,\n  setStrong: function (C, NAME, IS_MAP) {\n    // add .keys, .values, .entries, [@@iterator]\n    // 23.1.3.4, 23.1.3.8, 23.1.3.11, 23.1.3.12, 23.2.3.5, 23.2.3.8, 23.2.3.10, 23.2.3.11\n    $iterDefine(C, NAME, function (iterated, kind) {\n      this._t = validate(iterated, NAME); // target\n      this._k = kind;                     // kind\n      this._l = undefined;                // previous\n    }, function () {\n      var that = this;\n      var kind = that._k;\n      var entry = that._l;\n      // revert to the last existing entry\n      while (entry && entry.r) entry = entry.p;\n      // get next entry\n      if (!that._t || !(that._l = entry = entry ? entry.n : that._t._f)) {\n        // or finish the iteration\n        that._t = undefined;\n        return step(1);\n      }\n      // return step by kind\n      if (kind == 'keys') return step(0, entry.k);\n      if (kind == 'values') return step(0, entry.v);\n      return step(0, [entry.k, entry.v]);\n    }, IS_MAP ? 'entries' : 'values', !IS_MAP, true);\n\n    // add [@@species], 23.1.2.2, 23.2.2.2\n    setSpecies(NAME);\n  }\n};\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar MAP = 'Map';\n\n// 23.1 Map Objects\nmodule.exports = require('./_collection')(MAP, function (get) {\n  return function Map() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.1.3.6 Map.prototype.get(key)\n  get: function get(key) {\n    var entry = strong.getEntry(validate(this, MAP), key);\n    return entry && entry.v;\n  },\n  // 23.1.3.9 Map.prototype.set(key, value)\n  set: function set(key, value) {\n    return strong.def(validate(this, MAP), key === 0 ? 0 : key, value);\n  }\n}, strong, true);\n","var anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar newPromiseCapability = require('./_new-promise-capability');\n\nmodule.exports = function (C, x) {\n  anObject(C);\n  if (isObject(x) && x.constructor === C) return x;\n  var promiseCapability = newPromiseCapability.f(C);\n  var resolve = promiseCapability.resolve;\n  resolve(x);\n  return promiseCapability.promise;\n};\n","module.exports = function (exec) {\n  try {\n    return { e: false, v: exec() };\n  } catch (e) {\n    return { e: true, v: e };\n  }\n};\n","// 21.2.5.3 get RegExp.prototype.flags()\nif (require('./_descriptors') && /./g.flags != 'g') require('./_object-dp').f(RegExp.prototype, 'flags', {\n  configurable: true,\n  get: require('./_flags')\n});\n","'use strict';\nvar regexpExec = require('./_regexp-exec');\nrequire('./_export')({\n  target: 'RegExp',\n  proto: true,\n  forced: regexpExec !== /./.exec\n}, {\n  exec: regexpExec\n});\n","module.exports = function (done, value) {\n  return { value: value, done: !!done };\n};\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\n\nmodule.exports = [].copyWithin || function copyWithin(target /* = 0 */, start /* = 0, end = @length */) {\n  var O = toObject(this);\n  var len = toLength(O.length);\n  var to = toAbsoluteIndex(target, len);\n  var from = toAbsoluteIndex(start, len);\n  var end = arguments.length > 2 ? arguments[2] : undefined;\n  var count = Math.min((end === undefined ? len : toAbsoluteIndex(end, len)) - from, len - to);\n  var inc = 1;\n  if (from < to && to < from + count) {\n    inc = -1;\n    from += count - 1;\n    to += count - 1;\n  }\n  while (count-- > 0) {\n    if (from in O) O[to] = O[from];\n    else delete O[to];\n    to += inc;\n    from += inc;\n  } return O;\n};\n","var aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar toLength = require('./_to-length');\n\nmodule.exports = function (that, callbackfn, aLen, memo, isRight) {\n  aFunction(callbackfn);\n  var O = toObject(that);\n  var self = IObject(O);\n  var length = toLength(O.length);\n  var index = isRight ? length - 1 : 0;\n  var i = isRight ? -1 : 1;\n  if (aLen < 2) for (;;) {\n    if (index in self) {\n      memo = self[index];\n      index += i;\n      break;\n    }\n    index += i;\n    if (isRight ? index < 0 : length <= index) {\n      throw TypeError('Reduce of empty array with no initial value');\n    }\n  }\n  for (;isRight ? index >= 0 : length > index; index += i) if (index in self) {\n    memo = callbackfn(memo, self[index], index, O);\n  }\n  return memo;\n};\n","// call something on iterator step with safe closing on error\nvar anObject = require('./_an-object');\nmodule.exports = function (iterator, fn, value, entries) {\n  try {\n    return entries ? fn(anObject(value)[0], value[1]) : fn(value);\n  // 7.4.6 IteratorClose(iterator, completion)\n  } catch (e) {\n    var ret = iterator['return'];\n    if (ret !== undefined) anObject(ret.call(iterator));\n    throw e;\n  }\n};\n","// 20.2.2.16 Math.fround(x)\nvar sign = require('./_math-sign');\nvar pow = Math.pow;\nvar EPSILON = pow(2, -52);\nvar EPSILON32 = pow(2, -23);\nvar MAX32 = pow(2, 127) * (2 - EPSILON32);\nvar MIN32 = pow(2, -126);\n\nvar roundTiesToEven = function (n) {\n  return n + 1 / EPSILON - 1 / EPSILON;\n};\n\nmodule.exports = Math.fround || function fround(x) {\n  var $abs = Math.abs(x);\n  var $sign = sign(x);\n  var a, result;\n  if ($abs < MIN32) return $sign * roundTiesToEven($abs / MIN32 / EPSILON32) * MIN32 * EPSILON32;\n  a = (1 + EPSILON32 / EPSILON) * $abs;\n  result = a - (a - $abs);\n  // eslint-disable-next-line no-self-compare\n  if (result > MAX32 || result != result) return $sign * Infinity;\n  return $sign * result;\n};\n","// 20.2.2.20 Math.log1p(x)\nmodule.exports = Math.log1p || function log1p(x) {\n  return (x = +x) > -1e-8 && x < 1e-8 ? x - x * x / 2 : Math.log(1 + x);\n};\n","// 20.1.2.3 Number.isInteger(number)\nvar isObject = require('./_is-object');\nvar floor = Math.floor;\nmodule.exports = function isInteger(it) {\n  return !isObject(it) && isFinite(it) && floor(it) === it;\n};\n","var cof = require('./_cof');\nmodule.exports = function (it, msg) {\n  if (typeof it != 'number' && cof(it) != 'Number') throw TypeError(msg);\n  return +it;\n};\n","var $parseFloat = require('./_global').parseFloat;\nvar $trim = require('./_string-trim').trim;\n\nmodule.exports = 1 / $parseFloat(require('./_string-ws') + '-0') !== -Infinity ? function parseFloat(str) {\n  var string = $trim(String(str), 3);\n  var result = $parseFloat(string);\n  return result === 0 && string.charAt(0) == '-' ? -0 : result;\n} : $parseFloat;\n","var $parseInt = require('./_global').parseInt;\nvar $trim = require('./_string-trim').trim;\nvar ws = require('./_string-ws');\nvar hex = /^[-+]?0[xX]/;\n\nmodule.exports = $parseInt(ws + '08') !== 8 || $parseInt(ws + '0x16') !== 22 ? function parseInt(str, radix) {\n  var string = $trim(String(str), 3);\n  return $parseInt(string, (radix >>> 0) || (hex.test(string) ? 16 : 10));\n} : $parseInt;\n","// fast apply, http://jsperf.lnkit.com/fast-apply/5\nmodule.exports = function (fn, args, that) {\n  var un = that === undefined;\n  switch (args.length) {\n    case 0: return un ? fn()\n                      : fn.call(that);\n    case 1: return un ? fn(args[0])\n                      : fn.call(that, args[0]);\n    case 2: return un ? fn(args[0], args[1])\n                      : fn.call(that, args[0], args[1]);\n    case 3: return un ? fn(args[0], args[1], args[2])\n                      : fn.call(that, args[0], args[1], args[2]);\n    case 4: return un ? fn(args[0], args[1], args[2], args[3])\n                      : fn.call(that, args[0], args[1], args[2], args[3]);\n  } return fn.apply(that, args);\n};\n","'use strict';\nvar aFunction = require('./_a-function');\nvar isObject = require('./_is-object');\nvar invoke = require('./_invoke');\nvar arraySlice = [].slice;\nvar factories = {};\n\nvar construct = function (F, len, args) {\n  if (!(len in factories)) {\n    for (var n = [], i = 0; i < len; i++) n[i] = 'a[' + i + ']';\n    // eslint-disable-next-line no-new-func\n    factories[len] = Function('F,a', 'return new F(' + n.join(',') + ')');\n  } return factories[len](F, args);\n};\n\nmodule.exports = Function.bind || function bind(that /* , ...args */) {\n  var fn = aFunction(this);\n  var partArgs = arraySlice.call(arguments, 1);\n  var bound = function (/* args... */) {\n    var args = partArgs.concat(arraySlice.call(arguments));\n    return this instanceof bound ? construct(fn, args.length, args) : invoke(fn, args, that);\n  };\n  if (isObject(fn.prototype)) bound.prototype = fn.prototype;\n  return bound;\n};\n","// 7.2.9 SameValue(x, y)\nmodule.exports = Object.is || function is(x, y) {\n  // eslint-disable-next-line no-self-compare\n  return x === y ? x !== 0 || 1 / x === 1 / y : x != x && y != y;\n};\n","'use strict';\n// 19.1.2.1 Object.assign(target, source, ...)\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar $assign = Object.assign;\n\n// should work with symbols and should have deterministic property order (V8 bug)\nmodule.exports = !$assign || require('./_fails')(function () {\n  var A = {};\n  var B = {};\n  // eslint-disable-next-line no-undef\n  var S = Symbol();\n  var K = 'abcdefghijklmnopqrst';\n  A[S] = 7;\n  K.split('').forEach(function (k) { B[k] = k; });\n  return $assign({}, A)[S] != 7 || Object.keys($assign({}, B)).join('') != K;\n}) ? function assign(target, source) { // eslint-disable-line no-unused-vars\n  var T = toObject(target);\n  var aLen = arguments.length;\n  var index = 1;\n  var getSymbols = gOPS.f;\n  var isEnum = pIE.f;\n  while (aLen > index) {\n    var S = IObject(arguments[index++]);\n    var keys = getSymbols ? getKeys(S).concat(getSymbols(S)) : getKeys(S);\n    var length = keys.length;\n    var j = 0;\n    var key;\n    while (length > j) if (isEnum.call(S, key = keys[j++])) T[key] = S[key];\n  } return T;\n} : $assign;\n","// fallback for IE11 buggy Object.getOwnPropertyNames with iframe and window\nvar toIObject = require('./_to-iobject');\nvar gOPN = require('./_object-gopn').f;\nvar toString = {}.toString;\n\nvar windowNames = typeof window == 'object' && window && Object.getOwnPropertyNames\n  ? Object.getOwnPropertyNames(window) : [];\n\nvar getWindowNames = function (it) {\n  try {\n    return gOPN(it);\n  } catch (e) {\n    return windowNames.slice();\n  }\n};\n\nmodule.exports.f = function getOwnPropertyNames(it) {\n  return windowNames && toString.call(it) == '[object Window]' ? getWindowNames(it) : gOPN(toIObject(it));\n};\n","var dP = require('./_object-dp');\nvar anObject = require('./_an-object');\nvar getKeys = require('./_object-keys');\n\nmodule.exports = require('./_descriptors') ? Object.defineProperties : function defineProperties(O, Properties) {\n  anObject(O);\n  var keys = getKeys(Properties);\n  var length = keys.length;\n  var i = 0;\n  var P;\n  while (length > i) dP.f(O, P = keys[i++], Properties[P]);\n  return O;\n};\n","var has = require('./_has');\nvar toIObject = require('./_to-iobject');\nvar arrayIndexOf = require('./_array-includes')(false);\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\n\nmodule.exports = function (object, names) {\n  var O = toIObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) if (key != IE_PROTO) has(O, key) && result.push(key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (has(O, key = names[i++])) {\n    ~arrayIndexOf(result, key) || result.push(key);\n  }\n  return result;\n};\n","exports.f = require('./_wks');\n","module.exports = !require('./_descriptors') && !require('./_fails')(function () {\n  return Object.defineProperty(require('./_dom-create')('div'), 'a', { get: function () { return 7; } }).a != 7;\n});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{ENV,keep,scalar,tidy,onesLike,tensor1d,util,where,zerosLike,train,cast,serialization,nextFrame,add,mul,div,Tensor,Optimizer,mean,io,transpose,reverse,concat,zeros,dispose,sum,split,neg,variable,ones,eye,randomUniform,truncatedNormal,randomNormal,sub,sqrt,mulStrict,clipByValue,relu,linalg,leakyRelu,elu,conv1d,conv2d,conv2dTranspose,separableConv2d,depthwiseConv2d,maximum,minimum,batchNormalization2d,batchNormalization3d,batchNormalization4d,moments,movingAverage,pad,maxPool,avgPool,squeeze,max,abs,log,softplus,softmax,floor,oneHot,exp,greater,equal,argMax,logicalAnd,slice1d,slice2d,slice3d,slice4d,concat1d,concat2d,concat3d,concat4d,tile,matMul,gather,step,min,selu,sigmoid,tanh}from\"@tensorflow/tfjs-core\";var extendStatics=function(e,t){return(extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])})(e,t)};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}var __assign=function(){return(__assign=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)};function __awaiter(e,t,n,r){return new(n||(n=Promise))(function(i,a){function o(e){try{l(r.next(e))}catch(e){a(e)}}function s(e){try{l(r.throw(e))}catch(e){a(e)}}function l(e){e.done?i(e.value):new n(function(t){t(e.value)}).then(o,s)}l((r=r.apply(e,t||[])).next())})}function __generator(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var _epsilon=ENV.get(\"EPSILON\");function epsilon(){return _epsilon}function imageDataFormat(){return\"channelsLast\"}var _nextUniqueTensorId=0;function getNextUniqueTensorId(){return _nextUniqueTensorId++}var _uidPrefixes={};function getUid(e){return void 0===e&&(e=\"\"),e in _uidPrefixes||(_uidPrefixes[e]=0),_uidPrefixes[e]+=1,e+_uidPrefixes[e].toString()}var scalarCache={float32:{},int32:{}},DEFAULT_DTYPE=\"float32\";function getScalar(e,t){return void 0===t&&(t=DEFAULT_DTYPE),null==scalarCache[t][e]&&(scalarCache[t][e]=scalar(e,t),keep(scalarCache[t][e])),scalarCache[t][e]}var AttributeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),RuntimeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),ValueError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),NotImplementedError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),AssertionError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),IndexError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error);function pyListRepeat(e,t){if(Array.isArray(e)){for(var n=[],r=0;r<t;r++)n=n.concat(e);return n}return(n=new Array(t)).fill(e),n}function assert(e,t){if(!e)throw new AssertionError(t)}function count(e,t){for(var n=0,r=0,i=e;r<i.length;r++){i[r]===t&&n++}return n}function singletonOrArray(e){return 1===e.length?e[0]:e}function toList(e){return Array.isArray(e)?e:[e]}function toSnakeCase(e){var t=e.replace(/(.)([A-Z][a-z0-9]+)/g,\"$1_$2\").replace(/([a-z])([A-Z])/g,\"$1_$2\").toLowerCase();return\"_\"!==t[0]?t:\"private\"+t}function toCamelCase(e){return e.length<=1?e:-1===e.indexOf(\"_\")?e:e.replace(/[_]+(\\w|$)/g,function(e,t){return t.toUpperCase()})}var _GLOBAL_CUSTOM_OBJECTS={};function serializeKerasObject(e){return null===e||void 0===e?null:{className:e.getClassName(),config:e.getConfig()}}function deserializeKerasObject(e,t,n,r){if(void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r=\"object\"),\"string\"==typeof e){var i=e,a=void 0;if(i in n)a=n[i];else if(i in _GLOBAL_CUSTOM_OBJECTS)a=_GLOBAL_CUSTOM_OBJECTS[i];else if(null==(a=t[i]))throw new ValueError(\"Unknown \"+r+\": \"+e+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");return a}var o=e;if(null==o.className||null==o.config)throw new ValueError(r+\": Improper config format: \"+JSON.stringify(o)+\".\\n'className' and 'config' must set.\");var s=o.className,l=void 0,u=void 0;if(s in n?(l=(S=n.get(s))[0],u=S[1]):s in _GLOBAL_CUSTOM_OBJECTS?(l=(I=_GLOBAL_CUSTOM_OBJECTS.className)[0],u=I[1]):s in t&&(l=(N=t[s])[0],u=N[1]),null==l)throw new ValueError(\"Unknown \"+r+\": \"+s+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");if(null!=u){for(var c={},p=0,h=Object.keys(_GLOBAL_CUSTOM_OBJECTS);p<h.length;p++){c[v=h[p]]=_GLOBAL_CUSTOM_OBJECTS[v]}for(var d=0,f=Object.keys(n);d<f.length;d++){c[v=f[d]]=n[v]}o.config.customObjects=c;for(var g=__assign({},_GLOBAL_CUSTOM_OBJECTS),m=0,y=Object.keys(n);m<y.length;m++){var v=y[m];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var b=u(l,o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},g),b}g=__assign({},_GLOBAL_CUSTOM_OBJECTS);for(var w=0,z=Object.keys(n);w<z.length;w++){v=z[w];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var S,I,N;b=new l(o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},g),b}function numberCompare(e,t){return e<t?-1:e>t?1:0}function reverseNumberCompare(e,t){return-1*numberCompare(e,t)}function stringToDType(e){switch(e){case\"float32\":return\"float32\";default:throw new ValueError(\"Invalid dtype: \"+e)}}function unique(e){if(null==e)return e;for(var t=[],n=0,r=e;n<r.length;n++){var i=r[n];-1===t.indexOf(i)&&t.push(i)}return t}function isObjectEmpty(e){if(null==e)throw new ValueError(\"Invalid value in obj: \"+JSON.stringify(e));for(var t in e)if(e.hasOwnProperty(t))return!1;return!0}function checkStringTypeUnionValue(e,t,n){if(null!=n&&e.indexOf(n)<0)throw new ValueError(n+\" is not a valid \"+t+\".  Valid values are \"+e+\" or null/undefined.\")}function checkArrayTypeAndLength(e,t,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),assert(n>=0),assert(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(function(e){return typeof e===t})}function calcL2Norms(e,t){return tidy(function(){return sqrt(sum(mulStrict(e,e),t,!0))})}var Constraint=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),MaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=clipByValue(n,0,t.maxValue);return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t.className=\"MaxNorm\",t}(Constraint);serialization.registerClass(MaxNorm);var UnitNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultAxis=0,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){return div(e,add(getScalar(epsilon()),calcL2Norms(e,t.axis)))})},t.prototype.getConfig=function(){return{axis:this.axis}},t.className=\"UnitNorm\",t}(Constraint);serialization.registerClass(UnitNorm);var NonNeg=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"NonNeg\",t}(Constraint);serialization.registerClass(NonNeg);var MinMaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=add(mul(getScalar(t.rate),clipByValue(n,t.minValue,t.maxValue)),mul(getScalar(1-t.rate),n));return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t.className=\"MinMaxNorm\",t}(Constraint);serialization.registerClass(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function serializeConstraint(e){return serializeKerasObject(e)}function deserializeConstraint(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"constraint\")}function getConstraint(e){return null==e?null:\"string\"==typeof e?deserializeConstraint({className:e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP?CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Constraint?e:deserializeConstraint(e)}function maxNorm(e){return new MaxNorm(e)}function unitNorm(e){return new UnitNorm(e)}function nonNeg(){return new NonNeg}function minMaxNorm(e){return new MinMaxNorm(e)}var exports_constraints=Object.freeze({maxNorm:maxNorm,unitNorm:unitNorm,nonNeg:nonNeg,minMaxNorm:minMaxNorm}),nameMap=new Map,VALID_DATA_FORMAT_VALUES=[\"channelsFirst\",\"channelsLast\"];function checkDataFormat(e){checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES,\"DataFormat\",e)}var VALID_PADDING_MODE_VALUES=[\"valid\",\"same\",\"causal\"];function checkPaddingMode(e){checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES,\"PaddingMode\",e)}var VALID_POOL_MODE_VALUES=[\"max\",\"avg\"];function checkPoolMode(e){checkStringTypeUnionValue(VALID_POOL_MODE_VALUES,\"PoolMode\",e)}var _nameScopeStack=[],_nameScopeDivider=\"/\";function nameScope(e,t){_nameScopeStack.push(e);try{var n=t();return _nameScopeStack.pop(),n}catch(e){throw _nameScopeStack.pop(),e}}function currentNameScopePrefix(){return 0===_nameScopeStack.length?\"\":_nameScopeStack.join(_nameScopeDivider)+_nameScopeDivider}function getScopedTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");return currentNameScopePrefix()+e}function getUniqueTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");nameMap.has(e)||nameMap.set(e,0);var t=nameMap.get(e);if(nameMap.set(e,nameMap.get(e)+1),t>0){var n=e+\"_\"+t;return nameMap.set(n,1),n}return e}var tensorNameRegex=new RegExp(/^[A-Za-z][-A-Za-z0-9\\._\\/]*$/);function isValidTensorName(e){return!!e.match(tensorNameRegex)}function isInteger(e){return e===parseInt(e.toString(),10)}function arrayProd(e,t,n){null==t&&(t=0),null==n&&(n=e.length);for(var r=1,i=t;i<n;++i)r*=e[i];return r}function toArray1D(e){return e=Array.isArray(e)?new Float32Array(e):e,tensor1d(e)}function min$1(e){return min(toArray1D(e)).dataSync()[0]}function max$1(e){return max(toArray1D(e)).dataSync()[0]}function range(e,t){if(t<e)throw new ValueError(\"end (\"+t+\") < begin (\"+e+\") is forbidden.\");for(var n=[],r=e;r<t;++r)n.push(r);return n}function cast$1(e,t){return e.asType(t)}function expandDims(e,t){void 0===t&&(t=-1);var n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),e.reshape(n)}function repeat(e,t){return tidy(function(){if(2!==e.shape.length)throw new ValueError(\"repeat() expects a rank-2 tensor, but received a rank-\"+e.shape.length+\" tensor.\");return tile$1(expandDims(e,1),[1,t,1])})}function flatten(e){var t=[arrayProd(e.shape)];return e.reshape(t)}function batchFlatten(e){if(e.rank<=1)throw new ValueError(\"batchFlatten requires a minimum rank of 2. Got rank: \"+e.rank+\".\");var t=[e.shape[0],arrayProd(e.shape,1)];return e.reshape(t)}function sliceAlongFirstAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[t,0],[n,e.shape[1]]);case 3:return slice3d(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return slice4d(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);default:throw new ValueError(\"sliceAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongLastAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[0,t],[e.shape[0],n]);case 3:return slice3d(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return slice4d(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongAxis(e,t,n,r){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 3:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice3d(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 4:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice4d(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return slice4d(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function concatenate(e,t){var n;return void 0===t&&(t=-1),t<0&&(t=0!==(n=e[0].rank)?n:0),t===e[0].rank&&(t=-1),concat(e,t)}function concatAlongFirstAxis(e,t){switch(e.rank){case 1:return concat1d([e,t]);case 2:return concat2d([e,t],0);case 3:return concat3d([e,t],0);case 4:return concat4d([e,t],0);default:throw new ValueError(\"concatAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}}function tile$1(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new ValueError(\"The length of input n (\"+t.length+\") does not match the number of dimensions in input x (\"+e.rank+\")\");return tile(e,t)}function randomNormal$1(e,t,n,r,i){return void 0===t&&(t=0),void 0===n&&(n=1),randomNormal(e,t,n,r,i)}function dot(e,t){if(e.rank<2||t.rank<2)throw new NotImplementedError(\"dot requires both inputs to be rank >= 2 but got x shape = \"+e.shape+\" and y shape = \"+t.shape);if(t.rank>=3&&(r=e.shape.slice(-1)[0])!==(o=t.shape.slice(-2)[0]))throw new NotImplementedError(\"If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = \"+e.shape+\" and  y shape = \"+t.shape);if(2===e.rank&&2===t.rank)return matMul(e,t);var n=e.shape.slice(),r=n.pop();e=e.reshape([-1,r]);var i=t.shape.slice(),a=i.pop(),o=i.pop(),s=i.concat([a]),l=Array.from({length:t.rank},function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n});t=t.transpose(l).reshape([o,-1]);var u=n.concat(s);return matMul(e,t).reshape(u)}function gather$1(e,t,n){return tidy(function(){return t=Array.isArray(t)?tensor1d(t,\"int32\"):t.toInt(),gather(e,t,n)})}function square(e){return mulStrict(e,e)}function biasAdd(e,t,n){return tidy(function(){if(null==n&&(n=imageDataFormat()),checkDataFormat(n),1!==t.rank&&t.rank!==e.rank)throw new ValueError(\"Unexpected bias dimensions: \"+t.rank+\"; expected it to be 1 or \"+e.rank);var r,i=t.shape;if(5===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1,1])):e.add(t.reshape([1,i[3],i[0],i[1],i[2]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(4===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1])):e.add(t.reshape([1,i[2],i[0],i[1]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(3===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1])):e.add(t.reshape([1,i[1],i[0]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,i[0]])):e.add(t.reshape([1].concat(i))));else{if(!(e.rank<3))throw new ValueError(\"Unsupported input rank by biasAdd: \"+e.rank);r=e.add(t)}return r})}function elu$1(e,t){if(void 0===t&&(t=1),1!==t)throw new NotImplementedError(\"Support for alpha values other than 1 (\"+t+\") is not implemented yet.\");return elu(e)}function softsign(e){return tidy(function(){return div(e,add(getScalar(1),abs(e)))})}function dropout(e,t,n,r){return tidy(function(){if(null!=n&&!util.arraysEqual(e.shape,n))throw new NotImplementedError(\"Non-default noise shape is not implemented yet: \"+JSON.stringify(n));if(null!=r)throw new NotImplementedError(\"seed is not implemented for dropout yet.\");var i=step(add(neg(t),randomUniform(e.shape,0,1,\"float32\")));return i=mul(div(getScalar(1),sub(getScalar(1),t)),i),mul(e,i)})}function hardSigmoid(e){return tidy(function(){var t=add(getScalar(.5),mul(getScalar(.2),e));return clipByValue(t,0,1)})}function inTrainPhase(e,t,n){return void 0===n&&(n=!1),n?e():t()}var VALID_FAN_MODE_VALUES=[\"fanIn\",\"fanOut\",\"fanAvg\"];function checkFanMode(e){checkStringTypeUnionValue(VALID_FAN_MODE_VALUES,\"FanMode\",e)}var VALID_DISTRIBUTION_VALUES=[\"normal\",\"uniform\"];function checkDistribution(e){checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES,\"Distribution\",e)}var Initializer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.fromConfigUsesCustomObjects=function(){return!1},t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Zeros=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return zeros(e,t)},t.className=\"Zeros\",t}(Initializer);serialization.registerClass(Zeros);var Ones=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return ones(e,t)},t.className=\"Ones\",t}(Initializer);serialization.registerClass(Ones);var Constant=function(e){function t(t){var n=e.call(this)||this;if(\"object\"!=typeof t)throw new ValueError(\"Expected argument of type ConstantConfig but got \"+t);if(void 0===t.value)throw new ValueError(\"config must have value set but got \"+t);return n.value=t.value,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){return mul(scalar(n.value),ones(e,t))})},t.prototype.getConfig=function(){return{value:this.value}},t.className=\"Constant\",t}(Initializer);serialization.registerClass(Constant);var RandomUniform=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=t.minval||n.DEFAULT_MINVAL,n.maxval=t.maxval||n.DEFAULT_MAXVAL,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){return randomUniform(e,this.minval,this.maxval,t)},t.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t.className=\"RandomUniform\",t}(Initializer);serialization.registerClass(RandomUniform);var RandomNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"randomNormal does not support dType \"+t+\".\");return randomNormal$1(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"RandomNormal\",t}(Initializer);serialization.registerClass(RandomNormal);var TruncatedNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"truncatedNormal does not support dType \"+t+\".\");return truncatedNormal(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"TruncatedNormal\",t}(Initializer);serialization.registerClass(TruncatedNormal);var Identity=function(e){function t(t){var n=e.call(this)||this;return n.gain=null!=t.gain?scalar(t.gain):getScalar(1),n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length||e[0]!==e[1])throw new ValueError(\"Identity matrix initializer can only be used for 2D square matrices.\");return mul(n.gain,eye(e[0]))})},t.prototype.getConfig=function(){return{gain:this.gain.get()}},t.className=\"Identity\",t}(Initializer);function computeFans(e,t){var n,r;if(void 0===t&&(t=\"channelsLast\"),checkDataFormat(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if(\"channelsFirst\"===t){var i=arrayProd(e,2);n=e[1]*i,r=e[0]*i}else if(\"channelsLast\"===t){i=arrayProd(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var a=arrayProd(e);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}serialization.registerClass(Identity);var VarianceScaling=function(e){function t(t){var n=e.call(this)||this;if(t.scale<0)throw new ValueError(\"scale must be a positive float. Got: \"+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=t.mode,checkFanMode(n.mode),n.distribution=t.distribution,checkDistribution(n.distribution),n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=computeFans(e),r=n[0],i=n[1],a=this.scale;if(\"fanIn\"===this.mode?a/=Math.max(1,r):\"fanOut\"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),\"normal\"===this.distribution){var o=Math.sqrt(a);if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(this.getClassName()+\" does not support dType \"+t+\".\");return truncatedNormal(e,0,o,t,this.seed)}var s=Math.sqrt(3*a);return randomUniform(e,-s,s,t)},t.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t.className=\"VarianceScaling\",t}(Initializer);serialization.registerClass(VarianceScaling);var GlorotUniform=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"GlorotUniform\",t}(VarianceScaling);serialization.registerClass(GlorotUniform);var GlorotNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"GlorotNormal\",t}(VarianceScaling);serialization.registerClass(GlorotNormal);var HeNormal=function(e){function t(t){return e.call(this,{scale:2,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"HeNormal\",t}(VarianceScaling);serialization.registerClass(HeNormal);var LeCunNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"LeCunNormal\",t}(VarianceScaling);serialization.registerClass(LeCunNormal);var Orthogonal=function(e){function t(t){var n=e.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Random seed is not implemented for Orthogonal Initializer yet.\");return n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length)throw new NotImplementedError(\"The Orthogonal Initializer does not support non-2D shapes yet.\");e[0]*e[1]>2e3&&console.warn(\"Orthogonal initializer is being called on a matrix with more than 2000 (\"+e[0]*e[1]+\") elements: Slowness may result.\");var t=randomNormal$1(e[0]>e[1]?[e[1],e[0]]:e,0,1,\"float32\"),r=linalg.gramSchmidt(t);return e[0]>e[1]&&(r=r.transpose()),mul(getScalar(n.gain),r)})},t.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},t.className=\"Orthogonal\",t}(Initializer);serialization.registerClass(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function deserializeInitializer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"initializer\")}function serializeInitializer(e){return serializeKerasObject(e)}function getInitializer(e){if(\"string\"==typeof e){var t=e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e;return\"GlorotUniform\"===t?new GlorotUniform:\"GlorotNormal\"===t?new GlorotNormal:\"HeNormal\"===t?new HeNormal:\"LeCunNormal\"===t?new LeCunNormal:deserializeInitializer({className:t,config:{}})}return e instanceof Initializer?e:deserializeInitializer(e)}function zeros$1(){return new Zeros}function ones$1(){return new Ones}function constant(e){return new Constant(e)}function randomUniform$1(e){return new RandomUniform(e)}function randomNormal$2(e){return new RandomNormal(e)}function truncatedNormal$1(e){return new TruncatedNormal(e)}function identity(e){return new Identity(e)}function varianceScaling(e){return new VarianceScaling(e)}function glorotUniform(e){return new GlorotUniform(e)}function glorotNormal(e){return new GlorotNormal(e)}function heNormal(e){return new HeNormal(e)}function leCunNormal(e){return new LeCunNormal(e)}function orthogonal(e){return new Orthogonal(e)}var exports_initializers=Object.freeze({zeros:zeros$1,ones:ones$1,constant:constant,randomUniform:randomUniform$1,randomNormal:randomNormal$2,truncatedNormal:truncatedNormal$1,identity:identity,varianceScaling:varianceScaling,glorotUniform:glorotUniform,glorotNormal:glorotNormal,heNormal:heNormal,leCunNormal:leCunNormal,orthogonal:orthogonal});function isArrayOfShapes(e){return Array.isArray(e)&&Array.isArray(e[0])}function normalizeShapeList(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function getExactlyOneTensor(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new ValueError(\"Expected Tensor length to be 1; got \"+e.length);t=e[0]}else t=e;return t}function getExactlyOneShape(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new ValueError(\"Expected exactly 1 Shape; got \"+e.length)}return e}function countParamsInWeights(e){for(var t=0,n=0,r=e;n<r.length;n++){var i=r[n];0===i.shape.length?t+=1:t+=i.shape.reduce(function(e,t){return e*t})}return t}var DEFAULT_VARIABLE_NAME_PREFIX=\"Variable\",LayerVariable=function(){function e(e,t,n,r,i){void 0===t&&(t=\"float32\"),void 0===n&&(n=DEFAULT_VARIABLE_NAME_PREFIX),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==t?\"float32\":t,this.shape=e.shape,this.id=getNextUniqueTensorId(),n=null==n?DEFAULT_VARIABLE_NAME_PREFIX:n,this.originalName=getScopedTensorName(n),this.name=getUniqueTensorName(this.originalName),this.trainable=r,this.constraint=i,this.val=variable(e,this.trainable,this.name,this.dtype)}return e.prototype.read=function(){return this.assertNotDisposed(),this.val},e.prototype.write=function(e){return this.assertNotDisposed(),checkShapesMatch(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},e.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},e.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error(\"LayersVariable \"+this.name+\" is already disposed.\")},e}();function checkShapesMatch(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(e.shape)+\" vs. \"+JSON.stringify(t.shape))}function batchGetValue(e){return e.map(function(e){return e.read()})}function batchSetValue(e){e.map(function(e){e[0].write(e[1])})}var InputSpec=function(){return function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}(),SymbolicTensor=function(){return function(e,t,n,r,i,a,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=o,this.id=getNextUniqueTensorId(),null!=a&&(this.originalName=getScopedTensorName(a),this.name=getUniqueTensorName(this.originalName)),this.rank=t.length}}(),_nextNodeID=0,Node=function(){function e(e,t){this.callArgs=t,this.id=_nextNodeID++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n=0,r=e.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e=[],t=0,n=this.inboundLayers;t<n.length;t++){var r=n[t];null!=r?e.push(r.name):e.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),_nextLayerID=0,Layer=function(e){function t(t){var n=e.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=_nextLayerID++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var i=n.getClassName();r=toSnakeCase(i)+\"_\"+getUid(i)}if(n.name=r,n.trainable=null==t.trainable||t.trainable,n.updatable=null==t.updatable||t.updatable,null!=t.inputShape||null!=t.batchInputShape){var a=void 0;if(null!=t.batchInputShape)a=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),a=[o].concat(t.inputShape)}n.batchInputShape=a;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s=\"float32\"),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n}return __extends(t,e),t.nodeKey=function(e,t){return e.name+\"_ib-\"+t.toString()},t.prototype.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new RuntimeError(\"The layer has never been called and thus has no defined \"+t+\".\");if(this.inboundNodes.length<=e)throw new ValueError(\"Asked to get \"+t+\" at node \"+e+\", but the layer has only \"+this.inboundNodes.length+\" inbound nodes.\");return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"input\").inputTensors)},t.prototype.getOutputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"output\").outputTensors)},Object.defineProperty(t.prototype,\"input\",{get:function(){if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" is not connected, no input to return.\");return singletonOrArray(this.getNodeAtIndex(0,\"input\").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"output\",{get:function(){if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" has no inbound nodes.\");if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0,\"output\").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map(function(e){return e()})},Object.defineProperty(t.prototype,\"updates\",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"built\",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this._trainableWeights:[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this._nonTrainableWeights:this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"stateful\",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")},t.prototype.assertInputCompatibility=function(e){if(e=toList(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=toList(this.inputSpec);if(e.length!==t.length)throw new ValueError(\"Layer \"+this.name+\" expects \"+t.length+\" inputs, but it received \"+e.length+\" input tensors. Input received: \"+e);for(var n=0;n<e.length;n++){var r=e[n],i=t[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected ndim=\"+i.ndim+\", found ndim=\"+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected max_ndim=\"+i.maxNDim+\", found ndim=\"+a);if(null!=i.minNDim&&a<i.minNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected min_ndim=\"+i.minNDim+\", found ndim=\"+a+\".\");if(null!=i.dtype&&r.dtype!==i.dtype)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\" : expected dtype=\"+i.dtype+\", found dtype=\"+r.dtype+\".\");if(i.axes){var o=r.shape;for(var s in i.axes){var l=Number(s),u=i.axes[s],c=l>=0?o[l]:o[o.length+l];if(null!=u&&-1===[u,null].indexOf(c))throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected axis \"+l+\" of input shape to have value \"+u+\" but got shape \"+o+\".\")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],d=r.shape[p];if(null!=h&&null!=d&&h!==d)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected shape=\"+i.shape+\", found shape=${xShape}.\")}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r=toList(e),i=!0,a=0,o=r;a<o.length;a++){if(!(o[a]instanceof SymbolicTensor)){i=!1;break}}for(var s=!0,l=0,u=r;l<u.length;l++){if(u[l]instanceof SymbolicTensor){s=!1;break}}if(i===s)throw new ValueError(\"Arguments to apply() must be all SymbolicTensors or all Tensors\");return nameScope(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var i=[],a=0,o=toList(e);a<o.length;a++){var l=o[a];i.push(l.shape)}n.build(singletonOrArray(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(e),s){for(var u=[],c=0,p=toList(g=n.call(e,t));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),u.push(h)}if(g=singletonOrArray(u),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return g}var d=collectInputShape(e),f=n.computeOutputShape(d),g=void 0,m=guessOutputDType(e);if(n.warnOnIncompatibleInputShape(Array.isArray(e)?d[0]:d),g=null!=f&&f.length>0&&Array.isArray(f[0])?f.map(function(r,i){return new SymbolicTensor(m,r,n,toList(e),t,n.name,i)}):new SymbolicTensor(m,f,n,toList(e),t,n.name),n.addInboundNode(e,g,null,null,d,f,t),n._refCount++,null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return g})},t.prototype.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn(\"The rank of the input tensor provided (shape: \"+JSON.stringify(e)+\") does not match that of the batchInputShape (\"+JSON.stringify(this.batchInputShape)+\") of the layer \"+this.name);else{var t=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)}),t&&console.warn(\"The shape of the input tensor (\"+JSON.stringify(e)+\") does not match the expectation of layer \"+this.name+\": \"+JSON.stringify(this.batchInputShape))}},Object.defineProperty(t.prototype,\"outputShape\",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new AttributeError(\"The layer \"+this.name+\" has never been called and thus has no defined output shape.\");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],i=JSON.stringify(r.outputShapes);-1===e.indexOf(i)&&e.push(i)}if(1===e.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new AttributeError(\"The layer \"+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of \"outut shape\" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new RuntimeError(\"You tried to call countParams() on \"+this.name+\", but the layer is not built yet. Build it first by calling build(batchInputShape).\");return countParamsInWeights(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),batchGetValue(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;tidy(function(){var n=t.weights;if(n.length!==e.length)throw new ValueError('You called setWeights(weights) on layer \"'+t.name+'\" with a weight list of length '+e.length+\", but the layer was expecting \"+n.length+\" weights. Provided weights: \"+e+\"...\");if(0!==n.length){for(var r=[],i=batchGetValue(n),a=0;a<i.length;++a){var o=i[a],s=n[a],l=e[a];if(!util.arraysEqual(o.shape,l.shape))throw new ValueError(\"Layer weight shape \"+o.shape+\" not compatible with provided weight shape \"+l.shape);r.push([s,l])}batchSetValue(r)}})},t.prototype.addWeight=function(e,t,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(e))throw new ValueError(\"Duplicate weight name \"+e+\" for layer \"+this.name);this._addedWeightNames.push(e),null==n&&(n=\"float32\");var s=new LayerVariable(r.apply(t,n),n,e,a,o);return null!=i&&this.addLoss(function(){return i.apply(s.read())}),null==a&&(a=!0),a?this._trainableWeights.push(s):this._nonTrainableWeights.push(s),s},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=toList(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError(\"Layer \"+this.name+\" does not support masking,but was passed an inputMask.\");t.forEach(function(e){if(null!=e)throw new TypeError(\"Layer \"+n.name+\" does not support masking,but was passed an inputMask.\")})}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,i,a,o){void 0===o&&(o=null);var s=toList(e);t=toList(t),n=toList(n),r=toList(r),i=normalizeShapeList(i),a=normalizeShapeList(a);for(var l=[],u=[],c=[],p=0,h=s;p<h.length;p++){var d=h[p];l.push(d.sourceLayer),u.push(d.nodeIndex),c.push(d.tensorIndex)}new Node({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var f=0;f<t.length;f++)t[f].sourceLayer=this,t[f].nodeIndex=this.inboundNodes.length-1,t[f].tensorIndex=f},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},t.prototype.disposeWeights=function(){return this.weights.forEach(function(e){return e.dispose()}),this.weights.length},t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Layer '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){if(!this.built)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been built yet.\");if(null===this._refCount)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been used yet.\");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},t}(serialization.Serializable);function collectInputShape(e){for(var t=[],n=0,r=e=toList(e);n<r.length;n++){var i=r[n];t.push(i.shape)}return singletonOrArray(t)}function guessOutputDType(e){return\"float32\"}function getSourceInputs(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var o=0,s=getSourceInputs(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);o<s.length;o++){var l=s[o];-1===i.indexOf(l)&&i.push(l)}return i}var ModelLoggingVerbosity,InputLayer=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:getUid(\"input\").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new ValueError(\"Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.\");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new ValueError(\"An InputLayer should be passed either a `batchInputShape` or an `inputShape`.\");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new ValueError(\"Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.\");var i=t.dtype||\"float32\";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new SymbolicTensor(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Node({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return __extends(t,e),t.prototype.apply=function(e,t){throw new ValueError(\"Cannot pass any input to an InputLayer's apply() method. InputLayer name: \"+this.name)},t.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className=\"InputLayer\",t}(Layer);function Input(e){if(null==e.batchShape&&null==e.shape)throw new Error(\"Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.\");if(null!=e.batchShape&&null!=e.shape)throw new ValueError(\"Please provide either a `shape` or `batchShape` argument to Input, but not both.\");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n=\"float32\"),new InputLayer({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}function resolveScalarsInLogs(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:if(null==e)return[2];for(i in t=[],n=[],r=[],e)\"number\"!=typeof(a=e[i])&&(o=a,t.push(o.data()),n.push(i),r.push(o));return[4,Promise.all(t)];case 1:for(s=u.sent(),l=0;l<s.length;++l)e[n[l]]=s[l][0];return dispose(r),[2]}})})}function disposeTensorsInLogs(e){if(null!=e)for(var t in e){var n=e[t];\"number\"!=typeof n&&n.dispose()}}serialization.registerClass(InputLayer),function(e){e[e.SILENT=0]=\"SILENT\",e[e.VERBOSE=1]=\"VERBOSE\"}(ModelLoggingVerbosity||(ModelLoggingVerbosity={}));var BaseCallback=function(){function e(){this.validationData=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.setModel=function(e){},e}(),CallbackList=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}return e.prototype.append=function(e){this.callbacks.push(e)},e.prototype.setParams=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setParams(e)}},e.prototype.setModel=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setModel(e)}},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:return null==t&&(t={}),[4,resolveScalarsInLogs(t)];case 1:i.sent(),n=0,r=this.callbacks,i.label=2;case 2:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,5];case 3:i.sent(),i.label=4;case 4:return n++,[3,2];case 5:return[2]}})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainEnd(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e}(),ModelTrainingYielder=function(){function e(e){this.yieldEvery=e,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=util.now()}return e.prototype.resolveOneTensorInLogs=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a;return __generator(this,function(o){switch(o.label){case 0:for(n in t=[],e)t.push(n);r=0,o.label=1;case 1:return r<t.length?(i=t[r],\"number\"==typeof(a=e[i])?[3,3]:[4,a.data()]):[3,4];case 2:return o.sent(),[3,4];case 3:return r++,[3,1];case 4:return[2]}})})},e.prototype.maybeYieldOnBatch=function(t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:return\"auto\"!==this.yieldEvery?[3,7]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,3]:[4,this.resolveOneTensorInLogs(t)]);case 1:return i.sent(),n=util.now(),[4,nextFrame()];case 2:return i.sent(),this.batchCount>e.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(n-this.batchStartMillis),this.batchDurationsMillis.length>=e.DECISION_BATCH_COUNT&&(r=this.batchDurationsMillis.reduce(function(e,t){return e+t})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(e.THRESHOLD_MILLIS/r),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=util.now(),this.lastYieldBatchCount=this.batchCount,[3,6];case 3:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,nextFrame()]:[3,6];case 4:return i.sent(),[4,this.resolveOneTensorInLogs(t)];case 5:i.sent(),this.lastYieldBatchCount=this.batchCount,i.label=6;case 6:return[3,9];case 7:return\"batch\"!==this.yieldEvery?[3,9]:[4,nextFrame()];case 8:i.sent(),i.label=9;case 9:return[2]}})})},e.prototype.maybeYieldOnEpoch=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){switch(e.label){case 0:return\"epoch\"!==this.yieldEvery?[3,2]:[4,nextFrame()];case 1:e.sent(),e.label=2;case 2:return[2]}})})},e.SKIP_FIRST_BATCHES=1,e.DECISION_BATCH_COUNT=2,e.THRESHOLD_MILLIS=16,e}(),BaseLogger=function(e){function t(t){var n=e.call(this)||this;return n.yieldEvery=t||\"auto\",n}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.autoYielder=new ModelTrainingYielder(this.yieldEvery),[2]})})},t.prototype.onEpochBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a=this;return __generator(this,function(o){switch(o.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(t)];case 1:for(i in o.sent(),null==t&&(t={}),e=null==t.size?0:t.size,this.seen+=e,n=function(n){var i=t[n];if(\"number\"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*e;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=getScalar(0),r.totals[n]=tidy(function(){return add(a.totals[n],mul(i,getScalar(e)))}),null!=o&&o.dispose()}},r=this,t)n(i);return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a,o=this;return __generator(this,function(s){switch(s.label){case 0:return[4,this.autoYielder.maybeYieldOnEpoch()];case 1:if(s.sent(),null!=t)for(e=function(e){if(null==n.totals[e])return\"continue\";\"number\"==typeof n.totals[e]?t[e]=n.totals[e]/n.seen:tidy(function(){t[e]=mul(div(getScalar(1),getScalar(o.seen)),o.totals[e]),o.totals[e].dispose(),keep(t[e])})},n=this,r=0,i=this.params.metrics;r<i.length;r++)a=i[r],e(a);return[2]}})})},t}(BaseCallback),History=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.epoch=[],this.history={},[2]})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){for(n in null==t&&(t={}),this.epoch.push(e),t)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(t[n]);return[2]})})},t.prototype.syncData=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:for(r in e=[],t=[],n=[],this.history)for(i=this.history[r],a=0;a<i.length;++a)\"number\"!=typeof i[a]&&(o=i[a],e.push(o.data()),t.push(r),n.push(a));return[4,Promise.all(e)];case 1:for(s=u.sent(),l=0;l<s.length;++l)this.history[t[l]][n[l]].dispose(),this.history[t[l]][n[l]]=s[l][0];return[2]}})})},t}(BaseCallback),CustomCallback=function(e){function t(t){var n=e.call(this)||this;return n.trainBegin=t.onTrainBegin,n.trainEnd=t.onTrainEnd,n.epochBegin=t.onEpochBegin,n.epochEnd=t.onEpochEnd,n.batchBegin=t.onBatchBegin,n.batchEnd=t.onBatchEnd,n}return __extends(t,e),t.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainBegin?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainBegin(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainEnd?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainEnd(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t}(BaseCallback);function standardizeCallbacks(e){return null==e?null:e instanceof BaseCallback?[e]:Array.isArray(e)&&e[0]instanceof BaseCallback?e:toList(e).map(function(e){return new CustomCallback(e)})}var CallbackConstructorRegistry=function(){function e(){}return e.registerCallbackConstructor=function(t,n){util.assert(t>=0&&Number.isInteger(t),\"Verbosity level is expected to be an integer >= 0, but got \"+t),e.checkForDuplicate(n),null==e.constructors[t]&&(e.constructors[t]=[]),e.constructors[t].push(n)},e.checkForDuplicate=function(t){for(var n in e.constructors){e.constructors[+n].forEach(function(e){if(e===t)throw new ValueError(\"Duplicate callback constructor.\")})}},e.clear=function(){e.constructors={}},e.createCallbacks=function(t){var n=[];for(var r in e.constructors){var i=+r;t>=i&&n.push.apply(n,e.constructors[i])}return n.map(function(e){return new e})},e.constructors={},e}();function configureCallbacks(e,t,n,r,i,a,o,s,l,u){var c=new History,p=[new BaseLogger(t)].concat(CallbackConstructorRegistry.createCallbacks(n));null!=e&&p.push.apply(p,e),p.push(c);var h=new CallbackList(p);return h.setParams({epochs:r,initialEpoch:i,samples:a,steps:o,batchSize:s,verbose:n,doValidation:l,metrics:u}),{callbackList:h,history:c}}function l2Normalize(e,t){return tidy(function(){var n=sum(square(e),t,!0),r=mul(scalar(epsilon()),onesLike(e)),i=sqrt(maximum(n,r));return div(e,i)})}function meanSquaredError(e,t){return tidy(function(){return mean(square(sub(t,e)),-1)})}function meanAbsoluteError(e,t){return tidy(function(){return mean(abs(sub(t,e)),-1)})}function meanAbsolutePercentageError(e,t){return tidy(function(){var n=sub(e,t),r=clipByValue(abs(e),epsilon(),Number.MAX_VALUE),i=abs(div(n,r));return mul(getScalar(100),mean(i,-1))})}function meanSquaredLogarithmicError(e,t){return tidy(function(){var n=getScalar(1),r=clipByValue(t,epsilon(),Number.MAX_VALUE),i=log(add(n,r)),a=clipByValue(e,epsilon(),Number.MAX_VALUE),o=log(add(n,a));return mean(square(sub(i,o)),-1)})}function squaredHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(square(i),-1)})}function hinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(i,-1)})}function categoricalHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=sum(mul(e,t),-1),a=max(mul(sub(r,e),t),-1);return maximum(n,add(r,sub(a,i)))})}function logcosh(e,t){return tidy(function(){var n=getScalar(Math.log(2)),r=sub(t,e),i=sub(add(r,softplus(mul(getScalar(-2),r))),n);return mean(i,-1)})}function categoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){if(n)t=softmax(t);else{var r=sum(t,t.shape.length-1,!0);t=div(t,r)}return t=clipByValue(t,epsilon(),1-epsilon()),neg(sum(mul(e.toFloat(),log(t)),t.shape.length-1))})}function sparseCategoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){var r=floor(flatten(e)).toInt(),i=t.shape;return categoricalCrossentropy(oneHot(r,i[i.length-1]).reshape(i),t,n)})}function sigmoidCrossEntropyWithLogits(e,t){return tidy(function(){var n=maximum(t,zerosLike(t)),r=mul(t,e),i=log(add(getScalar(1),exp(neg(abs(t)))));return add(sub(n,r),i)})}function binaryCrossentropy(e,t){return tidy(function(){var n;return n=clipByValue(t,epsilon(),1-epsilon()),n=log(div(n,sub(onesLike(n),n))),mean(sigmoidCrossEntropyWithLogits(e,n),-1)})}function kullbackLeiblerDivergence(e,t){return tidy(function(){var n=clipByValue(e,epsilon(),1),r=clipByValue(t,epsilon(),1);return sum(mul(e,log(div(n,r))),-1)})}function poisson(e,t){return tidy(function(){var n=log(add(getScalar(epsilon()),t));return mean(sub(t,mul(e,n)),-1)})}function cosineProximity(e,t){return tidy(function(){var n=l2Normalize(e,-1),r=l2Normalize(t,-1),i=mul(n,r);return neg(sum(i,-1))})}function get(e){var t={meanSquaredError:meanSquaredError,meanAbsoluteError:meanAbsoluteError,meanAbsolutePercentageError:meanAbsolutePercentageError,meanSquaredLogarithmicError:meanSquaredLogarithmicError,squaredHinge:squaredHinge,hinge:hinge,categoricalHinge:categoricalHinge,logcosh:logcosh,categoricalCrossentropy:categoricalCrossentropy,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy,binaryCrossentropy:binaryCrossentropy,kullbackLeiblerDivergence:kullbackLeiblerDivergence,poisson:poisson,cosineProximity:cosineProximity};if(\"string\"==typeof e){if(e in t)return t[e];var n=\"Unknown loss \"+e;throw e.toLowerCase().includes(\"softmaxcrossentropy\")&&(n=\"Unknown loss \"+e+'. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy'),new ValueError(n)}return e}function binaryAccuracy(e,t){return tidy(function(){var n=mul(getScalar(.5),onesLike(t)),r=cast$1(greater(t,n),e.dtype);return mean(equal(e,r),-1)})}function categoricalAccuracy(e,t){return tidy(function(){return cast$1(equal(argMax(e,-1),argMax(t,-1)),\"float32\")})}function truePositives(e,t){return tidy(function(){var n=getScalar(1);return logicalAnd(e.equal(n),t.equal(n)).sum().cast(\"float32\")})}function falseNegatives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(n),t.equal(r)).sum().cast(\"float32\")})}function falsePositives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(r),t.equal(n)).sum().cast(\"float32\")})}function precision(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falsePositives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function recall(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falseNegatives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function binaryCrossentropy$1(e,t){return binaryCrossentropy(e,t)}function sparseCategoricalAccuracy(e,t){throw new NotImplementedError}var mse$1=meanSquaredError,MSE$1=meanSquaredError,mae$1=meanAbsoluteError,MAE$1=meanAbsoluteError,mape$1=meanAbsolutePercentageError,MAPE$1=meanAbsolutePercentageError,categoricalCrossentropy$1=categoricalCrossentropy,cosine$1=cosineProximity,sparseCategoricalCrossentropy$1=sparseCategoricalCrossentropy;function get$1(e){var t={binaryAccuracy:binaryAccuracy,categoricalAccuracy:categoricalAccuracy,precision:precision,categoricalCrossentropy:categoricalCrossentropy$1,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy$1,mse:mse$1,MSE:MSE$1,mae:mae$1,MAE:MAE$1,mape:mape$1,MAPE:MAPE$1,cosine:cosine$1};if(\"string\"==typeof e&&e in t)return t[e];if(\"string\"!=typeof e&&null!=e)return e;throw new ValueError(\"Unknown metric \"+e)}function getOptimizer(e){var t={Adagrad:function(){return train.adagrad(.01)},Adadelta:function(){return train.adadelta(1,.95,epsilon())},Adam:function(){return train.adam(.001,.9,.999,epsilon())},Adamax:function(){return train.adamax(.002,.9,.999,epsilon(),0)},RMSProp:function(){return train.rmsprop(.001,.9,0,epsilon())},SGD:function(){return train.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new ValueError(\"Unknown Optimizer \"+e)}function printSummary(e,t,n,r){void 0===r&&(r=console.log);var i,a=isModelSequentialLike(e),o=[\"Layer (type)\",\"Output shape\",\"Param #\"];if(a?(t=t||65,n=n||[.45,.85,1]):(t=t||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(function(e){return Math.floor(t*e)})),!a)for(var s in o.push(\"Receives inputs\"),i=[],e.nodesByDepth)i.push.apply(i,e.nodesByDepth[s]);r(\"_\".repeat(t)),printRow(o,n,r),r(\"=\".repeat(t));for(var l=e.layers,u=0;u<l.length;++u)a?printLayerSummary(l[u],n,r):printLayerSummaryWithConnections(l[u],n,i,r),r((u===l.length-1?\"=\":\"_\").repeat(t));e.checkTrainableWeightsConsistency();var c=countTrainableParams(e),p=countParamsInWeights(e.nonTrainableWeights);r(\"Total params: \"+(c+p)),r(\"Trainable params: \"+c),r(\"Non-trainable params: \"+p),r(\"_\".repeat(t))}function countTrainableParams(e){return null!=e.collectedTrainableWeights?countParamsInWeights(e.collectedTrainableWeights):countParamsInWeights(e.trainableWeights)}function isModelSequentialLike(e){var t=!0,n=[],r=[];for(var i in e.nodesByDepth)n.push(e.nodesByDepth[i]);for(var a=0,o=n;a<o.length;a++){var s=o[a];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){t=!1;break}r.push.apply(r,s)}if(t)for(var l=0,u=e.layers;l<u.length;l++){for(var c=!1,p=0,h=u[l].inboundNodes;p<h.length;p++){var d=h[p];if(-1!==r.indexOf(d)){if(c){t=!1;break}c=!0}}if(!t)break}return t}function printRow(e,t,n){void 0===n&&(n=console.log);for(var r=\"\",i=0;i<e.length;++i)i>0&&(r=r.slice(0,r.length-1)+\" \"),r=(r+=e[i]).slice(0,t[i]),r+=\" \".repeat(t[i]-r.length);n(r)}function printLayerSummary(e,t,n){var r;try{r=JSON.stringify(e.outputShape)}catch(e){r=\"multiple\"}printRow([e.name+\" (\"+e.getClassName()+\")\",r,e.countParams().toString()],t,n)}function printLayerSummaryWithConnections(e,t,n,r){var i;try{i=JSON.stringify(e.outputShape)}catch(e){i=\"multiple\"}for(var a=[],o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(null!=n&&n.length>0&&-1===n.indexOf(l)))for(var u=0;u<l.inboundLayers.length;++u){var c=l.inboundLayers[u].name,p=l.nodeIndices[u],h=l.tensorIndices[u];a.push(c+\"[\"+p+\"][\"+h+\"]\")}}var d=e.name,f=e.getClassName(),g=0===a.length?\"\":a[0];printRow([d+\" (\"+f+\")\",i,e.countParams().toString(),g],t,r);for(u=1;u<a.length;++u)printRow([\"\",\"\",\"\",a[u]],t,r)}function deserialize(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"layer\")}function isArrayItemInputOrOutputName(e,t,n){return(\"inboundNodes\"===e||\"outputLayers\"===e||\"inputLayers\"===e)&&0===t&&\"string\"==typeof n}function convertPythonicToTs(e,t){if(null===e)return null;if(\"string\"==typeof e)return toCamelCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertPythonicToTs(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u];if(\"name\"===u&&\"string\"==typeof c)o[u]=c;else{var p=toCamelCase(u);o[p]=convertPythonicToTs(c,p)}}return o}function convertTsToPythonic(e,t){if(null===e||void 0===e)return null;if(\"string\"==typeof e)return toSnakeCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertTsToPythonic(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u],p=toSnakeCase(u);o[p]=\"name\"!==u&&\"className\"!==u||\"string\"!=typeof c?convertTsToPythonic(c,u):c}return o}var version=\"0.8.5\";function preprocessWeightsForLoading(e,t,n,r){if(!n.startsWith(\"2.\"))throw new ValueError(\"Unsupported Keras version in weights being loaded: \"+n);return t}function loadTensor(e,t,n){var r=stringToDType(e);return Tensor.make(t,{values:0===t.length?n:util.flatten(n)},r)}function loadWeightsFromJson(e,t,n){void 0===n&&(n=!1);for(var r=e.keras_version,i=e.backend,a=t.map(function(e){return e.name}),o={},s=0,l=t;s<l.length;s++){null!=(b=l[s]).name&&(null==o[b.name]&&(o[b.name]=[]),o[b.name].push(b))}for(var u=e.weights,c=[],p=0;p<a.length;++p){var h=a[p],d=u[h];null==d&&(d=[]);for(var f=[],g=0;g<d.length;++g){var m=d[g];f.push(new LayerVariable(loadTensor(m.dtype,m.shape,m.value)))}for(var y=0,v=o[h];y<v.length;y++){var b,w=(b=v[y]).weights;if((f=preprocessWeightsForLoading(b,f,r,i)).length!==w.length){if(!n)throw new ValueError(\"Layer #\"+p+' (named \"'+b.name+'\") expects '+w.length+\" weight(s), but the saved weights have \"+f.length+\" element(s).\");console.warn(\"Skipping loading of weights of layer \"+b.name+\" due to mismatch in number of weights: (\"+f.length+\" vs \"+w.length+\").\")}for(var z=0;z<f.length;++z)!n||util.arraysEqual(w[z].shape,f[z].shape)?c.push([w[z],f[z].read()]):console.warn(\"Skipping loading of weights for layer \"+b.name+\" due to mismatch in shape (\"+w[z].shape+\" vs \"+f[z].shape+\")\")}}batchSetValue(c)}function loadWeightsFromNamedTensorMap(e,t,n){void 0===n&&(n=!0);for(var r={},i=0,a=0,o=t;a<o.length;a++)for(var s=0,l=o[a].weights;s<l.length;s++){var u=l[s];if(null!=r[u.originalName])throw new ValueError(\"Duplicate weight name: \"+u.originalName);r[u.originalName]=u,i++}var c=[];for(var p in e){if(null!=r[p])c.push([r[p],e[p]]);else if(n)throw new ValueError(\"Provided weight data has no target variable: \"+p);delete r[p]}if(n){var h=[];for(var d in r)h.push(d);if(h.length>0)throw new ValueError(h.length+\" of \"+i+\" weights are not set: \"+h)}batchSetValue(c)}var Container=function(e){function t(n){var r=e.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=getUid(i)}if(r.supportsMasking=!1,r.trainable=!0,r.updatable=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],unique(r.inputs).length!==r.inputs.length)throw new ValueError(\"The list of inputs passed to the model is redundant. All inputs should only appear once. Found: \"+r.inputs.map(function(e){return e.name}));unique(r.outputs).length!==r.outputs.length&&console.warn(\"The list of outputs passed to the model is redundant. All outputs should only appear once. Found: \"+r.outputs.map(function(e){return e.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(A=o[a]).sourceLayer,l=A.nodeIndex,u=A.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(u)}for(var c=0,p=r.inputs;c<p.length;c++){s=(A=p[c]).sourceLayer,l=A.nodeIndex,u=A.tensorIndex;assert(0===l,\"input layer has >1 nodes\"),assert(0===u,\"input layer has >1 tensors\"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(l),r.inputLayersTensorIndices.push(u)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof InputLayer))throw new TypeError(\"Input layers to a Model must be InputLayer objects. Received inputs: \"+n.inputs+\". Input \"+h+\" (0-based) originates from layer type \"+s.getClassName()+\".\");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var d=0,f=r.outputLayers;d<f.length;d++){s=f[d];r.outputNames.push(s.name)}r.internalInputShapes=r.inputs.map(function(e){return e.shape}),r.internalOutputShapes=r.outputs.map(function(e){return e.shape});for(var g={},m={},y={},v={},b={},w=[],z=function(e,n,i,a,o,s){null!=a&&null!=o&&null!=s||(a=e.sourceLayer,o=e.nodeIndex,s=e.tensorIndex);var l=a.inboundNodes[o];if(-1!==i.indexOf(l))throw new RuntimeError(\"The tensor \"+e.name+' at layer \"'+a.name+'\" is part of a cycle.');if(-1===n.indexOf(l)){r.containerNodes.add(t.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(l)&&i.push(l);for(var u=l.inboundLayers.length,c=0;c<u;c++){var p=l.inputTensors[c],h=l.inboundLayers[c],d=l.nodeIndices[c],f=l.tensorIndices[c];z(p,n,i,h,d,f)}for(n.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);w.push(l)}},S=[],I=[],N=0,C=r.outputs;N<C.length;N++){var A=C[N];z(A,S,I)}for(var _=0,E=w.slice().reverse();_<E.length;_++){m[(K=E[_]).id]=K,K.id in g||(g[K.id]=0);var k=g[K.id],L=null==y[K.outboundLayer.id]?0:y[K.outboundLayer.id];k=Math.max(k,L),y[K.outboundLayer.id]=k,v[K.outboundLayer.id]=K.outboundLayer,g[K.id]=k;for(h=0;h<K.inboundLayers.length;h++){var x=K.inboundLayers[h],T=(l=K.nodeIndices[h],x.inboundNodes[l]),D=null==g[T.id]?0:g[T.id];g[T.id]=Math.max(k+1,D),m[T.id]=T}}var O={};for(var R in g){(k=g[R])in O||(O[k]=[]),O[k].push(m[R])}var M={};for(var P in y){(k=y[P])in M||(M[k]=[]),M[k].push(v[P])}var V=Object.keys(M).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);r.layers=[];for(var F=0,B=V;F<B.length;F++){var U=M[k=B[F]];U.sort(function(e,t){var n=b[e.id],r=b[t.id];return n<r?-1:n>r?1:0});for(var j=0,W=U;j<W.length;j++){s=W[j];r.layers.push(s)}}r.layersByDepth=M,V=Object.keys(O).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);for(var $=r.inputs.slice(),q=[],G=0,J=V;G<J.length;G++)for(var H=0,Z=O[k=J[G]];H<Z.length;H++){var K;if(null!=(s=(K=Z[H]).outboundLayer)){for(var Y=0,X=K.inputTensors;Y<X.length;Y++){A=X[Y];if(-1===$.indexOf(A))throw new RuntimeError(\"Graph disconnected: cannot obtain value for tensor \"+A+' at layer \"'+s.name+'\". The following previous layers were accessed without issue: '+q)}for(var Q=0,ee=K.outputTensors;Q<ee.length;Q++){A=ee[Q];$.push(A)}q.push(s.name)}}r.nodesByDepth=O;for(var te=r.layers.map(function(e){return e.name}),ne=function(e){var t=te.filter(function(t){return t===e}).length;if(1!==t)throw new RuntimeError('The name \"'+e+'\" is used '+t+\" times in the model. All layer names should be unique. Layer names: \"+JSON.stringify(te))},re=0,ie=te;re<ie.length;re++){ne(ie[re])}return r.outboundNodes=[],r.inboundNodes=[],new Node({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(e){return null}),outputMasks:r.outputs.map(function(e){return null}),inputShapes:r.inputs.map(function(e){return e.shape}),outputShapes:r.outputs.map(function(e){return e.shape})}),r.built=!0,r._refCount=1,r}return __extends(t,e),t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Container '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount)for(var t=0,n=this.layers;t<n.length;t++){var r=n[t];e.numDisposedVariables+=r.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(this._trainableWeights.length>0)throw new ValueError(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e=e.concat(r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.layers;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=!1),void 0===r&&(r=!0),n?loadWeightsFromNamedTensorMap(e,this.layers,r):loadWeightsFromJson(e,this.layers,t)},t.prototype.updatedConfig=function(){var e=this.getConfig();return{className:this.getClassName(),config:e,kerasVersion:\"tfjs-layers \"+version,backend:\"TensorFlow.js\"}},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=convertTsToPythonic(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=\"mask\"in t?toList(t.mask):pyListRepeat(null,e.length),n.runInternalGraph(e,r)[0]})},t.prototype.computeMask=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=null==t?pyListRepeat(null,e.length):toList(t),n.runInternalGraph(e,r)[1]})},t.prototype.computeOutputShape=function(e){var t=normalizeShapeList(e);if(t.length!==this.inputLayers.length)throw new ValueError(\"Invalid inputShape argument \"+e+\": model has \"+this.inputLayers.length+\" tensor inputs.\");for(var n={},r=0;r<t.length;r++){var i=this.inputLayers[r],a=t[r];n[I=i.name+\"_0_0\"]=a}var o=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);if(o.length>1)for(var s=0,l=o;s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){var h=p[c];i=h.outboundLayer;if(-1===this.inputLayers.map(function(e){return e.id}).indexOf(i.id)){for(var d=[],f=0;f<h.inboundLayers.length;f++){var g=h.inboundLayers[f],m=h.nodeIndices[f],y=h.tensorIndices[f],v=n[I=g.name+\"_\"+m+\"_\"+y];d.push(v)}var b=normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),w=i.inboundNodes.indexOf(h);for(f=0;f<b.length;f++){n[I=i.name+\"_\"+w+\"_\"+f]=b[f]}}}var z=[],S=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],w=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var I=i.name+\"_\"+w+\"_\"+y;S.push(I)}for(r=0;r<S.length;r++){var N=S[r];assert(N in n),z.push(n[N])}return singletonOrArray(z)},t.prototype.runInternalGraph=function(e,t){null==t&&(t=pyListRepeat(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=e[r],o=t[r];n[i.id]=[a,o]}for(var s=0,l=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){for(var h=p[c],d=h.outboundLayer,f=h.inputTensors,g=h.outputTensors,m=new Array,y=0,v=f;y<v.length;y++){(i=v[y]).id in n&&m.push(n[i.id])}if(m.length===f.length){var b={},w=void 0,z=void 0,S=void 0,I=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===m.length){var N=m[0],C=N[0],A=N[1];null==b.mask&&(b.mask=A),S=toList(d.call(C,b)),I=toList(d.computeMask(C,A)),w=[C],z=[A]}else w=m.map(function(e){return e[0]}),z=m.map(function(e){return e[1]}),null==b.mask&&(b.mask=z),S=toList(d.call(w,b)),I=toList(d.computeMask(w,z));if(d.activityRegularizer)throw new NotImplementedError(\"Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(r=0;r<g.length;++r){i=g[r],a=S[r],o=I[r];n[i.id]=[a,o]}}}for(var _=[],E=[],k=[],L=0,x=this.outputs;L<x.length;L++){assert((i=x[L]).id in n,\"Could not compute output \"+i.name+\" : \"+i.id);var T=n[i.id],D=T[0];o=T[1];k.push(D.shape),_.push(D),E.push(o)}return[_,E,k]},t.prototype.buildNodeConversionMap=function(e){for(var n,r={},i=0,a=this.layers;i<a.length;i++){var o=a[i];n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var l=t.nodeKey(o,s);this.containerNodes.has(l)&&(r[l]=n,n+=1)}}return r},t.prototype.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new ValueError(\"Was asked to retrieve layer at index \"+t+\", but model only has \"+this.layers.length+\" layer(s).\");return this.layers[t]}if(null==e)throw new ValueError(\"Provide either a layer name or layer index\");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===e)return i}throw new ValueError(\"No such layer: \"+e)},t.prototype.calculateLosses=function(){var e=this;return tidy(function(){for(var n=[],r=0,i=e.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=t.nodeKey(a,o);e.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n})},t.prototype.getConfig=function(){for(var e={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(b=a[i]).getClassName(),s=b.getConfig(),l=[],u=0;u<b.inboundNodes.length;u++){var c=b.inboundNodes[u],p=t.nodeKey(b,u),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(e){console.warn(\"Layer \"+b.name+\" was passed non-serializable keyword arguments: \"+c.callArgs+\". They will not be included in the serialized model (and thus will be missing at deserialization time).\"),h={}}if(c.inboundLayers.length>0){for(var d=[],f=0;f<c.inboundLayers.length;f++){var g=c.inboundLayers[f],m=c.nodeIndices[f],y=c.tensorIndices[f];null==(z=n[t.nodeKey(g,m)])&&(z=0),d.push([g.name,z,y,h])}l.push(d)}}}r.push({name:b.name,className:o,config:s,inboundNodes:l})}e.layers=r;var v=[];for(f=0;f<this.inputLayers.length;f++){var b=this.inputLayers[f];m=this.inputLayersNodeIndices[f],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){null!==(z=n[p])&&void 0!==z||(z=0);y=this.inputLayersTensorIndices[f];v.push([b.name,z,y])}}e.inputLayers=v;var w=[];for(f=0;f<this.outputLayers.length;f++){b=this.outputLayers[f],m=this.outputLayersNodeIndices[f],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){var z;null!==(z=n[p])&&void 0!==z||(z=0);y=this.outputLayersTensorIndices[f];w.push([b.name,z,y])}}return e.outputLayers=w,e},t.fromConfig=function(e,t){var n={},r={};function i(e,t){e.name in r?r[e.name].push(t):r[e.name]=[t]}function a(e,t){for(var r,a=[],o=0,s=t;o<s.length;o++){var l=s[o],u=l[0],c=l[1],p=l[2];if(3===l.length)r={};else{if(4!==l.length)throw new ValueError(\"Improperly formatted model config for layer \"+JSON.stringify(e)+\": \"+JSON.stringify(l));r=l[3]}if(!(u in n))return void i(e,t);var h=n[u];if(h.inboundNodes.length<=c)return void i(e,t);var d=h.inboundNodes[c];a.push(d.outputTensors[p])}a.length>0&&e.apply(singletonOrArray(a),r)}function o(e){var r=e.name,a=deserialize(e,null!=t.customObjects?t.customObjects:{});n[r]=a;for(var o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(l instanceof Array))throw new ValueError(\"Corrupted configuration, expected array for nodeData: \"+l);i(a,l)}}for(var s=t.name,l=t.layers,u=0,c=l;u<c.length;u++){o(d=c[u])}for(;!isObjectEmpty(r);)for(var p=0,h=l;p<h.length;p++){var d=h[p];if((_=n[d.name]).name in r){var f=r[_.name];delete r[_.name];for(var g=0,m=f;g<m.length;g++){a(_,m[g])}}}for(var y=[],v=[],b=0,w=t.inputLayers;b<w.length;b++){var z=(d=w[b])[0],S=d[1],I=d[2];assert(z in n);var N=(_=n[z]).inboundNodes[S].outputTensors;y.push(N[I])}for(var C=0,A=t.outputLayers;C<A.length;C++){z=(d=A[C])[0],S=d[1],I=d[2];assert(z in n);var _;N=(_=n[z]).inboundNodes[S].outputTensors;v.push(N[I])}return new e({inputs:y,outputs:v,name:s})},Object.defineProperty(t.prototype,\"stateful\",{get:function(){if(this._stateful)throw new ValueError(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(var e=0,t=this.layers;e<t.length;e++){if(t[e].stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;tidy(function(){e.layers.forEach(function(e){e.stateful&&e.resetStates()})})},t}(Layer);function assertFeedCompatibility(e,t){if(null!=e.shape){if(e.shape.length!==t.shape.length)throw new ValueError(\"The rank of feed (\"+t.shape.length+\") does not match the rank of the key (\"+e.shape.length+\").\");for(var n=0;n<e.shape.length;++n)if(null!=e.shape[n]&&e.shape[n]!==t.shape[n])throw new ValueError(\"The \"+n+\"-th dimension of the feed (\"+t.shape[n]+\") is incompatible with that of the key (\"+e.shape[n]+\").\")}if(null==e.dtype||e.dtype===t.dtype)return t;try{return cast(t,e.dtype)}catch(n){throw new ValueError(\"The dtype of the feed (\"+t.dtype+\") can not be cast to the dtype of the key '\"+e.name+\"' (\"+e.dtype+\").\")}}var FeedDict=function(){function e(t){if(this.id2Value={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n];else{if(null==t)return;for(var r=0,i=t;r<i.length;r++){var a=i[r];this.add(a.key,a.value)}}}return e.prototype.add=function(e,t){if(null!=this.id2Value[e.id])throw new ValueError(\"Duplicate key: name=\"+e.name+\", id=\"+e.id);return this.id2Value[e.id]=assertFeedCompatibility(e,t),this},e.prototype.addFeed=function(e){this.add(e.key,e.value)},e.prototype.hasKey=function(e){return null!=this.id2Value[e.id]},e.prototype.getValue=function(e){if(null==this.id2Value[e.id])throw new ValueError(\"Nonexistent key: \"+JSON.stringify(e));return this.id2Value[e.id]},e}();function execute(e,t,n){for(var r=Array.isArray(e),i=r?e:[e],a=[],o=new FeedDict(t),s=0,l=i;s<l.length;s++){var u=l[s];a.push(executeInternal(u,o,n))}return r?a:a[0]}function executeInternal(e,t,n){if(t.hasKey(e))return t.getValue(e);if(e.sourceLayer instanceof InputLayer)throw new ValueError(\"Missing a feed value for SymbolicTensor from InputLayer '\"+InputLayer.name+\"'\");for(var r=[],i=0,a=e.inputs;i<a.length;i++){var o=executeInternal(a[i],t,n);r.push(o)}var s=e.sourceLayer.apply(r,n);Array.isArray(s)||(s=[s]);for(var l=getNodeOutputs(e),u=Array.isArray(l)?l:[l],c=0;c<u.length;++c)t.add(u[c],s[c]);return 1===s.length?s[0]:s[e.outputTensorIndex]}function getNodeOutputs(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r)for(var i=0,a=e.sourceLayer.inboundNodes[r].outputTensors;i<a.length;i++){if(a[i].id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}var DEFAULT_VALIDATION_BATCH_SIZE=32;function standardizeDataIteratorOutput(e,t){if(e.outputs.length>1)throw new NotImplementedError(\"Support for training a model with multiple output tensors with a dataset object is not implemented yet.\");util.assert(Array.isArray(t)&&2===t.length,\"Dataset iterator for fitDataset() is expected to generate an Array of length 2: `[xs, ys]`, but instead generates \"+t);var n=(t=t)[1],r=t[0];if(r instanceof Tensor)return util.assert(1===e.inputs.length,\"Model has multiple \"+e.inputs.length+\" inputs, hence it expects the input dataset to generate a dictionary of tensors  (with keys \"+JSON.stringify(e.inputNames)+\", but received a single tensor.\"),util.assert(r.shape[0]===n.shape[0],\"Mismatch in batch size between x and y tensors (\"+r.shape[0]+\" vs. \"+n.shape[0]+\")\"),[r,n];var i=void 0;r=r;for(var a=[],o=0,s=e.inputNames;o<s.length;o++){var l=s[o];if(null==r[l])throw new ValueError(\"The feature data generated by the dataset lacks the required input key '\"+l+\"'.\");a.push(r[l]),null==i?i=r[l].shape[0]:util.assert(r[l].shape[0]===i,\"Mismatch in batch size between x and y tensors (\"+r[l].shape[0]+\" vs. \"+n.shape[0]+\")\")}return a.concat(n)}function standardizeTensorValidationData(e){if(3===e.length)throw new NotImplementedError(\"Validation with sample weights is not implemented yet.\");return{xs:e[0],ys:e[1]}}function fitDataset(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h,d,f,g,m,y,v,b,w,z,S,I,N,C,A,_,E;return __generator(this,function(k){switch(k.label){case 0:if(r=null!=n.batchesPerEpoch,util.assert(null!=e.optimizer,\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\"),util.assert(null!=n,\"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call.\"),util.assert(null!=n.epochs&&n.epochs>0&&Number.isInteger(n.epochs),\"For fitDataset(), config.epochs is expected to be a positive integer, but got \"+n.epochs),util.assert(!r||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),\"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got \"+n.batchesPerEpoch),util.assert(null==n.validationSplit,\"`validationSplit` is not supported by `fitDataset()`. Use validationData instead.\"),e.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");e.isTraining=!0,k.label=1;case 1:return k.trys.push([1,,21,22]),i=null!=n.validationData,a=void 0,o=void 0,i&&(isDatasetObject(n.validationData)?util.assert(null==n.validationBatches||n.validationBatches>0&&Number.isInteger(n.validationBatches),\"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got \"+n.validationBatches):(s=standardizeTensorValidationData(n.validationData),a=s.xs,o=s.ys)),l=e.makeTrainFunction(),u=e.getDedupedMetricsNames(),c=void 0,c=i?u.slice().concat(u.map(function(e){return\"val_\"+e})):u.slice(),p=standardizeCallbacks(n.callbacks),h=configureCallbacks(p,n.yieldEvery,n.verbose,n.epochs,null,null,n.batchesPerEpoch,null,i,c),d=h.callbackList,f=h.history,e.history=f,[4,d.onTrainBegin()];case 2:return k.sent(),g=null==n.initialEpoch?0:n.initialEpoch,m={},[4,t.iterator()];case 3:y=k.sent(),k.label=4;case 4:return g<n.epochs?[4,d.onEpochBegin(g)]:[3,18];case 5:return k.sent(),v=0,b=0,r?[3,7]:[4,t.iterator()];case 6:y=k.sent(),k.label=7;case 7:return!r||v<n.batchesPerEpoch?[4,y.next()]:[3,16];case 8:if(w=k.sent(),r&&w.done)return console.warn(\"You provided `batchesPerEpoch` as \"+n.batchesPerEpoch+\", but your dataset iterator ran out of data after \"+v+\" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, \"+n.batchesPerEpoch*n.epochs+\" batches). You may need to use the repeat() function when building your dataset.\"),[3,16];if(null==w.value)return[3,10];for(z=standardizeDataIteratorOutput(e,w.value),(S={}).batch=b,S.size=z[0].shape[0],d.onBatchBegin(b,S),I=l(z),dispose(z),E=0;E<u.length;++E)N=u[E],C=I[E],S[N]=C,keep(C);return[4,d.onBatchEnd(b,S)];case 9:k.sent(),disposeTensorsInLogs(S),b++,v++,k.label=10;case 10:return(r?v>=n.batchesPerEpoch:w.done)?i?(A=void 0,isDatasetObject(n.validationData)?(_=toList,[4,e.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,12]):[3,14]:[3,15];case 11:return A=_.apply(void 0,[k.sent()]),[3,13];case 12:A=toList(e.evaluate(a,o,{batchSize:null==n.validationBatchSize?DEFAULT_VALIDATION_BATCH_SIZE:n.validationBatchSize,verbose:0})),k.label=13;case 13:for(E=0;E<e.metricsNames.length;++E)m[\"val_\"+e.metricsNames[E]]=A[E];k.label=14;case 14:return[3,16];case 15:return e.stopTraining_?[3,16]:[3,7];case 16:return[4,d.onEpochEnd(g,m)];case 17:return k.sent(),g++,e.stopTraining_?[3,18]:[3,4];case 18:return[4,d.onTrainEnd()];case 19:return k.sent(),[4,e.history.syncData()];case 20:return k.sent(),[2,e.history];case 21:return e.isTraining=!1,[7];case 22:return[2]}})})}function isDatasetObject(e){return\"function\"==typeof e.iterator}function isLazyIteratorObject(e){return\"function\"==typeof e.next}function evaluateDataset(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h;return __generator(this,function(d){switch(d.label){case 0:if(r=null!=n.batches,i=e.testFunction,a=[],n.verbose>0)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");return util.assert(!r||n.batches>0&&Number.isInteger(n.batches),\"Test loop expects `batches` to be a positive integer, but received \"+JSON.stringify(n.batches)),isLazyIteratorObject(t)?(s=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:s=d.sent(),d.label=3;case 3:o=s,l=0,u=0,c=function(){var t,s,c,p,h,d;return __generator(this,function(f){switch(f.label){case 0:return[4,o.next()];case 1:if((t=f.sent()).value){if(s=standardizeDataIteratorOutput(e,t.value),c=tidy(function(){return i(s)}),dispose(s),0===u)for(d=0;d<c.length;++d)a.push(getScalar(0));for(p=s[0].shape[0],h=function(e){var t=c[e],n=a[e];a[e]=tidy(function(){return add(a[e],mul(getScalar(p),t))}),u>0&&dispose(n)},d=0;d<c.length;++d)h(d);dispose(c),l+=p,++u}return t.done?(r&&console.warn(\"Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, \"+n.batches+\" batches). You may need to use the repeat() function when building your dataset.\"),[2,\"break\"]):[2]}})},d.label=4;case 4:return!r||u<n.batches?[5,c()]:[3,6];case 5:return\"break\"===d.sent()?[3,6]:[3,4];case 6:for(p=function(e){var t=a[e];a[e]=tidy(function(){return div(a[e],getScalar(l))}),dispose(t)},h=0;h<a.length;++h)p(h);return[2,singletonOrArray(a)]}})})}function checkBatchSize(e){util.assert(e>0&&Number.isInteger(e),\"batchSize is required to be a positive integer, but got \"+e)}function sliceArrays(e,t,n){return null==e?[null]:Array.isArray(e)?e.map(function(e){return sliceAlongFirstAxis(e,t,n-t)}):sliceAlongFirstAxis(e,t,n-t)}function sliceArraysByIndices(e,t){return tidy(function(){return null==e?null:Array.isArray(e)?e.map(function(e){return sliceArraysByIndices(e,t)}):gather$1(e,\"int32\"===t.dtype?t:t.toInt())})}function makeBatches(e,t){for(var n=[],r=0,i=null;r<e;)(i=r+t)>=e&&(i=e),n.push([r,i]),r=i;return n}function fitLoop(e,t,n,r,i,a,o,s,l,u,c,p,h,d,f,g){return __awaiter(this,void 0,void 0,function(){var m,y,v,b,w,z,S,I;return __generator(this,function(N){switch(N.label){case 0:if(null==i&&(i=32),null==a&&(a=1),null==c&&(c=!0),null==h&&(h=0),m=!1,null!=l&&null!=u&&(m=!0),null!=f&&(m=!0,null==d))throw new ValueError(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");return null!=(y=e.checkNumSamples(n,i,d,\"steps_per_epoch\"))&&(v=range(0,y)),null==o&&(o=1),b=configureCallbacks(s,g,o,a,h,y,d,i,m,p),w=b.callbackList,z=b.history,w.setModel(e),e.history=z,[4,w.onTrainBegin()];case 1:N.sent(),e.stopTraining_=!1,S=function(a){var o,s,p,h,f;return __generator(this,function(g){switch(g.label){case 0:return[4,w.onEpochBegin(a)];case 1:if(g.sent(),o={},null==d)return[3,2];throw new NotImplementedError(\"stepsPerEpoch mode is not implemented yet.\");case 2:if(\"batch\"===c)throw new NotImplementedError(\"batch shuffling is not implemneted yet\");c&&util.shuffle(v),s=tensor1d(v),p=makeBatches(y,i),h=function(a){var c;return __generator(this,function(h){switch(h.label){case 0:return c={},[4,w.onBatchBegin(a,c)];case 1:return h.sent(),tidy(function(){var h=p[a][0],d=p[a][1],f=sliceAlongFirstAxis(s,h,d-h);c.batch=a,c.size=d-h;for(var g=sliceArraysByIndices(n,f),y=t(g),v=0;v<r.length;++v){var b=r[v],w=y[v];c[b]=w,keep(w)}if(a===p.length-1&&m){var z=e.testLoop(l,u,i);for(v=0;v<r.length;++v){b=r[v],w=z[v];keep(w),o[\"val_\"+b]=w}}}),[4,w.onBatchEnd(a,c)];case 2:return h.sent(),disposeTensorsInLogs(c),e.stopTraining_?[2,\"break\"]:[2]}})},f=0,g.label=3;case 3:return f<p.length?[5,h(f)]:[3,6];case 4:if(\"break\"===g.sent())return[3,6];g.label=5;case 5:return++f,[3,3];case 6:s.dispose(),g.label=7;case 7:return[4,w.onEpochEnd(a,o)];case 8:return g.sent(),e.stopTraining_?[2,\"break\"]:[2]}})},I=h,N.label=2;case 2:return I<a?[5,S(I)]:[3,5];case 3:if(\"break\"===N.sent())return[3,5];N.label=4;case 4:return++I,[3,2];case 5:return[4,w.onTrainEnd()];case 6:return N.sent(),[4,e.history.syncData()];case 7:return N.sent(),[2,e.history]}})})}function fitTensors(e,t,n,r){return void 0===r&&(r={}),__awaiter(this,void 0,void 0,function(){var i,a,o,s,l,u,c,p,h,d,f,g,m,y,v,b,w,z,S,I;return __generator(this,function(N){switch(N.label){case 0:if(e.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");e.isTraining=!0,N.label=1;case 1:if(N.trys.push([1,,3,4]),checkBatchSize(c=null==r.batchSize?32:r.batchSize),p=e.standardizeUserData(t,n,!1,c),i=p[0],a=p[1],h=!1,d=void 0,null!=r.validationData&&r.validationData.length>0){if(h=!0,2!==r.validationData.length)throw 3===r.validationData.length?new NotImplementedError(\"validationData including sample weights is not supported yet.\"):new ValueError(\"When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; \"+r.validationData+\" is invalid.\");o=r.validationData[0],s=r.validationData[1],f=e.standardizeUserData(o,s,!0,c),l=f[0],u=f[1],d=l.concat(u)}else null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(h=!0,g=Math.floor(i[0].shape[0]*(1-r.validationSplit)),m=i[0].shape[0],l=sliceArrays(i,g,m),i=sliceArrays(i,0,g),u=sliceArrays(a,g,m),a=sliceArrays(a,0,g),d=l.concat(u)):null!=r.validationSteps&&(h=!0);return y=i.concat(a),e.checkTrainableWeightsConsistency(),v=e.makeTrainFunction(),b=e.getDedupedMetricsNames(),w=void 0,z=void 0,h?(e.makeTestFunction(),w=e.testFunction,z=b.slice().concat(b.map(function(e){return\"val_\"+e}))):(w=null,d=[],z=b.slice()),S=standardizeCallbacks(r.callbacks),[4,fitLoop(e,v,y,b,c,r.epochs,r.verbose,S,w,d,r.shuffle,z,r.initialEpoch,null,null,r.yieldEvery)];case 2:return I=N.sent(),e.isTraining=!1,[2,I];case 3:return e.isTraining=!1,disposeNewTensors(i,t),disposeNewTensors(a,n),disposeNewTensors(l,o),disposeNewTensors(u,s),[7];case 4:return[2]}})})}function ensureTensorsRank2OrHigher(e){var t=[];e instanceof Tensor&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(expandDims(r,1));else{if(0===r.rank)throw new Error(\"Expected tensor to be at least 1D, but received a 0D tensor (scalar).\");t.push(r)}}return t}function disposeNewTensors(e,t){if(null!=e){var n=[];if(t instanceof Tensor)n.push(t.id);else if(Array.isArray(t))t.forEach(function(e){return n.push(e.id)});else if(null!=t)for(var r in t){var i=t[r];n.push(i.id)}var a=[];if(e instanceof Tensor)-1===n.indexOf(e.id)&&a.push(e);else if(Array.isArray(e))e.forEach(function(e){-1===n.indexOf(e.id)&&a.push(e)});else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&a.push(s)}a.forEach(function(e){e.isDisposed||e.dispose()})}}function isDataTensor(e){return e instanceof Tensor}function isDataArray(e){return Array.isArray(e)}function isDataDict(e){return!isDataTensor(e)&&!isDataArray(e)}function standardizeInputData(e,t,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),null==t||0===t.length){if(null!=e){var a=!1;if(isDataArray(e)&&e.length>0)a=!0;else if(isDataDict(e)){for(var o in e)if(e.hasOwnProperty(o)){a=!0;break}}else a=!0;if(a)throw new ValueError(\"Error when checking model \"+i+\" expected no data, but got \"+e)}return[]}if(null==e)return t.map(function(e){return null});var s;if(isDataDict(e)){e=e,s=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(null==e[c])throw new ValueError('No data provided for \"'+c+'\". Need data for each key in: '+t);s.push(e[c])}}else if(isDataArray(e)){if((e=e).length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got the following list of Tensor(s): \"+e);s=e}else{if(e=e,t.length>1)throw new ValueError(\"The model \"+i+\" expects \"+t.length+\" Tensor(s), but only received one Tensor. Found: Tensor with shape \"+e.shape);s=[e]}if(s=ensureTensorsRank2OrHigher(s),null!=n)for(var p=0;p<t.length;++p)if(null!=n[p]){var h=s[p];if(h.shape.length!==n[p].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have \"+n[p].length+\" dimension(s). but got array with shape \"+h.shape);for(var d=0;d<n[p].length;++d)if(0!==d||r){var f=h.shape[d],g=n[p][d];if(null!=g&&g>=0&&f!==g)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have shape [\"+n[p]+\"], but got array with shape [\"+h.shape+\"].\")}}return s}function checkArrayLengths(e,t,n){var r=unique(e.map(function(e){return e.shape[0]}));r.sort();var i=unique(t.map(function(e){return e.shape[0]}));if(i.sort(),r.length>1)throw new ValueError(\"All input Tensors (x) should have the same number of samples. Got array shapes: \"+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new ValueError(\"All target Tensors (y) should have the same number of samples. Got array shapes: \"+JSON.stringify(t.map(function(e){return e.shape})));if(r.length>0&&i.length>0&&!util.arraysEqual(r,i))throw new ValueError(\"Input Tensors should have the same number of samples as target Tensors. Found \"+r[0]+\" input sample(s) and \"+i[0]+\" target sample(s).\")}function checkLossAndTargetCompatibility(e,t,n){for(var r=[meanSquaredError,binaryCrossentropy,categoricalCrossentropy],i=0;i<e.length;++i){var a=e[i],o=t[i],s=n[i];if(null!=o){if(o===categoricalCrossentropy&&1===a.shape[a.shape.length-1])throw new ValueError(\"You are passing a target array of shape \"+a.shape+\" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].\");if(-1!==r.indexOf(o))for(var l=a.shape.slice(1),u=s.slice(1),c=0;c<l.length;++c){var p=l[c],h=u[c];if(null!=h&&p!==h)throw new ValueError(\"A target Tensor with shape \"+a.shape+\" was passed for an output of shape \"+s+\", while using a loss function that expects targets to have the same shape as the output.\")}}}}function checkInputData(e,t,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),Array.isArray(e)){if(e.length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got \"+e.length+\" Tensors(s).\");a=e}else{if(t.length>1)throw new ValueError(\"The model expects \"+t.length+\" \"+i+\" Tensors, but only received one Tensor. Found: array with shape \"+JSON.stringify(e.shape)+\".\");a=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=a[o];if(s.shape.length!==n[o].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have \"+n[o].length+\" dimension(s), but got array with shape \"+JSON.stringify(s.shape));for(var l=0;l<n[o].length;++l)if(0!==l||r){var u=s.shape[l],c=n[o][l];if(null!=c&&c!==u)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have shape \"+JSON.stringify(n[o])+\" but got array with shape \"+JSON.stringify(s.shape)+\".\")}}}function collectMetrics(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map(function(e){return[]});if(Array.isArray(e))return t.map(function(t){return e});if(null!=e){for(var n=[],r=0,i=t;r<i.length;r++){var a=i[r],o=e.hasOwnProperty(a)?e[a]:[];Array.isArray(o)||(o=[o]),n.push(o)}return n}throw new TypeError(\"Type of metrics argument not understood. Expected an Array or Object, found: \"+e)}var Model=function(e){function t(t){var n=e.call(this,t)||this;return n.isTraining=!1,n}return __extends(t,e),t.prototype.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new ValueError(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");printSummary(this,e,t,n)},t.prototype.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,\"string\"==typeof e.optimizer)this.optimizer=getOptimizer(e.optimizer);else{if(!(e.optimizer instanceof Optimizer))throw new ValueError(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer=e.optimizer}var n=[];if(Array.isArray(e.loss)||\"string\"==typeof e.loss||\"function\"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new ValueError(\"When passing an Array as loss, it should have one entry per model output. The model has \"+this.outputs.length+\" output(s), but you passed loss=\"+e.loss+\".\");var r=e.loss;n=r.map(function(e){return get(e)})}else{var i=get(e.loss);this.outputs.map(function(e){n.push(i)})}else{for(var a in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(a))throw new ValueError('Unknown entry in loss dictionary: \"'+a+'\". Only expect the following keys: '+this.outputNames);for(var o in this.outputNames)null==e.loss[o]&&console.warn('Output \"'+o+'\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+o+\" during training\"),n.push(get(e.loss[o]))}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var s=0;s<this.outputs.length;++s){var l=this.internalOutputShapes[s],u=this.outputNames[s];this.feedOutputNames.push(u),this.feedOutputShapes.push(l),this.feedLossFns.push(this.lossFunctions[s])}var c=[];this.metrics=e.metrics,this.metricsNames=[\"loss\"],this.metricsTensors=[],nameScope(\"loss\",function(){for(var e=0;e<t.outputs.length;++e)if(-1===c.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+\"_loss\"))}});var p=collectMetrics(e.metrics,this.outputNames);nameScope(\"metric\",function(){for(var e=function(e){if(-1!==c.indexOf(e))return\"continue\";!function(n){for(var r,i,a,o=function(n){if(-1!==[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(n)){var o=t.internalOutputShapes[e];1===o[o.length-1]||t.lossFunctions[e]===binaryCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=binaryAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=binaryCrossentropy$1):t.lossFunctions[e]===sparseCategoricalCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=sparseCategoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=sparseCategoricalCrossentropy$1):-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=categoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=categoricalCrossentropy$1);var s=void 0;-1!==[\"accuracy\",\"acc\"].indexOf(n)?s=\"acc\":-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(s=\"ce\"),a=i,r=\"\"+s}else{var l=get$1(n);a=l,r=\"\"+n}var u;nameScope(r,function(){u=a}),function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+\"_\"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])}(e,r,u)},s=0,l=n;s<l.length;s++)o(l[s])}(p[e])},n=0;n<t.outputs.length;++n)e(n)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;checkBatchSize(r);var i=this.standardizeUserData(e,t,!0,r);try{var a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return singletonOrArray(this.testLoop(o,a,r,n.verbose,n.steps))}finally{disposeNewTensors(i[0],e),disposeNewTensors(i[1],t)}},t.prototype.evaluateDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){return this.makeTestFunction(),[2,evaluateDataset(this,e,t)]})})},t.prototype.checkNumSamples=function(e,t,n,r){var i;if(void 0===r&&(r=\"steps\"),null!=n){if(i=null,null!=t)throw new ValueError(\"If \"+r+\" is set, batchSize must be null or undefined.Got batchSize = \"+t)}else{if(null==e)throw new ValueError(\"Either the input data should have a defined shape, or \"+r+\" shoud be specified.\");i=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return i},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new ValueError(\"`outputs` is an empty Array, which is not allowed.\");var n=Array.isArray(t),r=n?t:[t],i=this.retrieveSymbolicTensors(r),a=new FeedDict;if(e instanceof Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new ValueError(\"The number of inputs provided (\"+e.length+\") does not match the number of inputs of this model (\"+this.inputs.length+\").\");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],e[o])}else for(var s=0,l=this.inputs;s<l.length;s++){var u=l[s],c=e[u.name];if(null==c)throw new ValueError(\"No value is provided for the model's input \"+u.name);a.add(u,c)}var p=execute(i,a);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=pyListRepeat(null,e.length),n=e.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(e){return e.name}),l=0;l<e.length;++l){var u=s.indexOf(e[l]);if(-1!==u&&(t[l]=o[u],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw t.forEach(function(t,n){null==t&&c.push(e[n])}),new ValueError(\"Cannot find SymbolicTensors for output name(s): \"+JSON.stringify(c))}return t},t.prototype.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),tidy(function(){var i=r.checkNumSamples(e);if(n)throw new NotImplementedError(\"Verbose predictLoop() is not implemented yet.\");for(var a=makeBatches(i,t),o=[],s=function(t){var n=tidy(function(){var n=a[t][0],i=a[t][1],o=sliceArrays(e,n,i),s=[];if(Array.isArray(o))for(var l=0;l<o.length;++l)s.push({key:r.inputs[l],value:o[l]});else s.push({key:r.inputs[0],value:o});var u=new FeedDict(s);return execute(r.outputs,u)});if(0===t)for(var i=0,s=n;i<s.length;i++){var l=s[i];o.push(l)}else for(var u=0;u<n.length;++u)o[u]=concatAlongFirstAxis(o[u],n[u])},l=0;l<a.length;++l)s(l);return singletonOrArray(o)})},t.prototype.predict=function(e,t){void 0===t&&(t={});var n=ensureTensorsRank2OrHigher(e);checkInputData(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return checkBatchSize(r),this.predictLoop(n,r)}finally{disposeNewTensors(n,e)}},t.prototype.predictOnBatch=function(e){return checkInputData(e,this.inputNames,this.feedInputShapes,!0),this.predictLoop(e,e.shape[0])},t.prototype.standardizeUserData=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new RuntimeError(\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===sparseCategoricalCrossentropy?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(checkArrayLengths(e=standardizeInputData(e,this.feedInputNames,this.feedInputShapes,!1,\"input\"),t=standardizeInputData(t,this.feedOutputNames,i,!1,\"target\"),null),checkLossAndTargetCompatibility(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new ValueError(\"In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size \"+r+\". Found: \"+e[0].shape[0]+\" sample(s).\");return[e,t,null]},t.prototype.testLoop=function(e,t,n,r,i){var a=this;return void 0===r&&(r=0),tidy(function(){var o=a.checkNumSamples(t,n,i,\"steps\"),s=[];if(r>0)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");if(null!=i)throw new NotImplementedError(\"steps mode in testLoop() is not implemented yet\");for(var l=makeBatches(o,n),u=tensor1d(range(0,o)),c=0;c<l.length;++c){var p=l[c][0],h=l[c][1],d=sliceAlongFirstAxis(u,p,h-p),f=sliceArraysByIndices(t,d),g=e(f);if(0===c)for(var m=0;m<g.length;++m)s.push(getScalar(0));for(m=0;m<g.length;++m){var y=g[m];s[m]=add(s[m],mul(getScalar(h-p),y))}}for(m=0;m<s.length;++m)s[m]=div(s[m],getScalar(o));return s})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],i=r;if(count(e,r)>1)i+=\"_\"+count(e.slice(0,n),r);t.push(i)}return t},t.prototype.makeTrainFunction=function(){var e=this;return function(t){var n=t.slice(0,e.inputs.length),r=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=[],a=e.collectedTrainableWeights.map(function(e){return e.read()});return[e.optimizer.minimize(function(){for(var t=[],a=0;a<e.inputs.length;++a)t.push({key:e.inputs[a],value:n[a]});var o,s=new FeedDict(t),l=execute(e.outputs,s,{training:!0});for(a=0;a<e.lossFunctions.length;++a){var u=(0,e.lossFunctions[a])(r[a],l[a]);mean(u),o=0===a?u:add(o,u)}for(a=0;a<e.metricsTensors.length;++a){var c=e.metricsTensors[a][0],p=e.metricsTensors[a][1],h=mean(c(r[p],l[p]));keep(h),i.push(h)}return o=mean(o),e.calculateLosses().forEach(function(e){o=add(o,e)}),o},!0,a)].concat(i)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return tidy(function(){for(var n,r=[],i=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:i[s]});var l=new FeedDict(o),u=execute(e.outputs,l);for(s=0;s<e.lossFunctions.length;++s){var c=e.lossFunctions[s],p=mean(c(a[s],u[s]));n=0===s?p:add(n,p),r.push(n)}for(s=0;s<e.metricsTensors.length;++s){var h=e.metricsTensors[s][0],d=e.metricsTensors[s][1],f=mean(h(a[d],u[d]));r.push(f)}return r})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){return __generator(this,function(r){return[2,fitTensors(this,e,t,n)]})})},t.prototype.fitDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){return[2,fitDataset(this,e,t)]})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||(t[r[a].originalName]=i[a]);return t},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),t.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o;return __generator(this,function(s){switch(s.label){case 0:if(\"string\"==typeof e){if(0===(n=io.getSaveHandlers(e)).length)throw new ValueError(\"Cannot find any save handlers for URL '\"+e+\"'\");if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") save handlers for URL '\"+e+\"'\");e=n[0]}if(null==e.save)throw new ValueError(\"Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return[4,io.encodeWeights(this.getNamedWeights(t))];case 1:return r=s.sent(),i=!1,a=null,o=this.toJSON(a,i),[2,e.save({modelTopology:o,weightData:r.data,weightSpecs:r.specs})]}})})},t.className=\"Model\",t}(Container);function modelFromJSON(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o,s,l,u,c,p;return __generator(this,function(h){switch(h.label){case 0:return\"modelTopology\"in e||(e={modelTopology:e}),null!=(n=(e=e).modelTopology).model_config&&(n=n.model_config),r=convertPythonicToTs(n),i=deserialize(r,t),null==e.weightsManifest?[3,2]:[4,io.loadWeights(e.weightsManifest,e.pathPrefix,i.weights.map(function(e){return e.originalName}))];case 1:for(a=h.sent(),o={},s=0,l=i.weights;s<l.length;s++)u=l[s],o[u.originalName]=a[u.originalName];c=null,p=!0,i.loadWeights(o,c,p),h.label=2;case 2:return[2,i]}})})}function loadModelInternal(e,t){return void 0===t&&(t=!0),__awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){if(\"string\"==typeof e){if(0===(n=io.getLoadHandlers(e)).length)n.push(io.browserHTTPRequest(e));else if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") load handlers for URL '\"+e+\"'\");e=n[0]}return[2,loadModelFromIOHandler(e,void 0,t)]})})}function loadModelFromIOHandler(e,t,n){return void 0===n&&(n=!0),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s;return __generator(this,function(l){switch(l.label){case 0:if(null==e.load)throw new ValueError(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,e.load()];case 1:if(r=l.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),a=deserialize(convertPythonicToTs(i),t),null!=r.weightData){if(null==r.weightSpecs)throw new ValueError(\"Model artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");o=!1,s=!0,a.loadWeights(io.decodeWeights(r.weightData,r.weightSpecs),o,s,n)}return[2,a]}})})}serialization.registerClass(Model);var Sequential=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:getUid(\"sequential_\"),null!=t.layers)for(var r=0,i=t.layers;r<i.length;r++){var a=i[r];n.add(a)}return n}return __extends(t,e),t.prototype.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some(function(e){return e<0}))throw new ValueError(\"Negative dimension size caused by adding layer \"+e.name+\" with input shape [\"+e.inboundNodes[0].inputTensors[0].shape+\"]\")},t.prototype.add=function(e){var n,r=e instanceof t||e instanceof Model;if(r){if(1!==(n=e).outputs.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(1!==n.inputs.length)throw new ValueError(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new ValueError(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");var i=Input({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+\"_input\"});e.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new ValueError(\"A layer added to a Sequential model must not already be connected somewhere else. Model received layer \"+e.name+\" which has \"+e.inboundNodes.length+\" pre-existing inbound connections.\");if(1!==e.inboundNodes[0].outputTensors.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=getSourceInputs(this.outputs[0])}this.inboundNodes=[],new Node({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:pyListRepeat(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(e){return e.shape}),outputShapes:this.outputs[0].shape})}else{var a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},t.prototype.pop=function(){if(0===this.layers.length)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},t.prototype.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},t.prototype.build=function(e){if(getExactlyOneShape(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Model({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.model.updatable=this.updatable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},t.prototype.countParams=function(){return this.built||this.build(),e.prototype.countParams.call(this)},t.prototype.summary=function(t,n,r){void 0===r&&(r=console.log),this.built||this.build(),e.prototype.summary.call(this,t,n,r)},t.prototype.setWeights=function(e){null==this.model&&this.build(),this.model.setWeights(e)},Object.defineProperty(t.prototype,\"updatable\",{get:function(){return this._updatable},set:function(e){this.built&&(this.model.updatable=e),this._updatable=e},enumerable:!0,configurable:!0}),t.prototype.evaluate=function(e,t,n){if(void 0===n&&(n={}),!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return this.model.evaluate(e,t,n)},t.prototype.evaluateDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.evaluateDataset(e,t)]})})},t.prototype.predict=function(e,t){return void 0===t&&(t={}),null==this.model&&this.build(),this.model.predict(e,t)},t.prototype.predictOnBatch=function(e){return null==this.model&&this.build(),this.model.predictOnBatch(e)},t.prototype.compile=function(e){this.build(),this.model.compile(e),this.optimizer=this.model.optimizer,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){return __generator(this,function(r){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.fit(e,t,n)]})})},t.prototype.fitDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.fitDataset(e,t)]})})},t.fromConfig=function(e,n){var r,i={};if(n instanceof Array){if(null==n[0].className||\"Merge\"===n[0].className)throw new ValueError(\"Legacy serialization format not supported yet.\");r=n}else util.assert(null!=n.layers,\"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field.\"),r=n.layers,delete n.layers,i=n;var a=new e(i);if(!(a instanceof t))throw new NotImplementedError(\"Sequential.fromConfig called on non-Sequential input: \"+a);for(var o=0,s=r;o<s.length;o++){var l=deserialize(s[o]);a.add(l)}return a},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.model.stopTraining=e},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push({className:r.getClassName(),config:r.getConfig()})}return e},t.className=\"Sequential\",t}(Model);function model(e){return new Model(e)}function sequential(e){return new Sequential(e)}function loadModel(e,t){return void 0===t&&(t=!0),loadModelInternal(e,t)}function input(e){return Input(e)}function registerCallbackConstructor(e,t){CallbackConstructorRegistry.registerCallbackConstructor(e,t)}serialization.registerClass(Sequential);var Activation=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Elu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),elu$1(e,t)},t.className=\"elu\",t}(Activation);serialization.registerClass(Elu);var Selu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return selu(e)},t.className=\"selu\",t}(Activation);serialization.registerClass(Selu);var Relu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"relu\",t}(Activation);serialization.registerClass(Relu);var Relu6=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tidy(function(){return minimum(getScalar(6),relu(e))})},t.className=\"relu6\",t}(Activation);serialization.registerClass(Relu6);var Linear=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return e},t.className=\"linear\",t}(Activation);serialization.registerClass(Linear);var Sigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return sigmoid(e)},t.className=\"sigmoid\",t}(Activation);serialization.registerClass(Sigmoid);var HardSigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return hardSigmoid(e)},t.className=\"hardSigmoid\",t}(Activation);serialization.registerClass(HardSigmoid);var Softplus=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softplus(e)},t.className=\"softplus\",t}(Activation);serialization.registerClass(Softplus);var Softsign=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softsign(e)},t.className=\"softsign\",t}(Activation);serialization.registerClass(Softsign);var Tanh=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tanh(e)},t.className=\"tanh\",t}(Activation);serialization.registerClass(Tanh);var Softmax=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),softmax(e,t)},t.className=\"softmax\",t}(Activation);function serializeActivation(e){return e.getClassName()}function deserializeActivation(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"activation\")}function getActivation(e){return null==e?deserializeActivation({className:\"linear\",config:{}}):\"string\"==typeof e?deserializeActivation({className:e,config:{}}):e instanceof Activation?e:deserializeActivation(e)}serialization.registerClass(Softmax);var ReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.supportsMasking=!0,null!=t&&(n.maxValue=t.maxValue),n}return __extends(t,e),t.prototype.call=function(e,t){e=getExactlyOneTensor(e);var n=relu(e);return null!=this.maxValue&&(n=clipByValue(n,0,this.maxValue)),n},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={maxValue:this.maxValue},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ReLU\",t}(Layer);serialization.registerClass(ReLU);var LeakyReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return leakyRelu(n,this.alpha)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LeakyReLU\",t}(Layer);serialization.registerClass(LeakyReLU);var ELU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new NotImplementedError(\"Non-default alpha value (\"+t.alpha+\") is not supported by the ELU layer yet.\");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return elu(n)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ELU\",t}(Layer);serialization.registerClass(ELU);var ThresholdedReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n.thetaTensor=getScalar(n.theta),n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return n.mul(cast$1(n.greater(this.thetaTensor),\"float32\"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ThresholdedReLU\",t}(Layer);serialization.registerClass(ThresholdedReLU);var Softmax$1=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new Softmax).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return this.softmax(n,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Softmax\",t}(Layer);serialization.registerClass(Softmax$1);var Regularizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(serialization.Serializable),L1L2=function(e){function t(t){var n=e.call(this)||this,r=null==t||null==t.l1?.01:t.l1,i=null==t||null==t.l2?.01:t.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=getScalar(r),n.l2=getScalar(i),n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=zeros([1]);return t.hasL1&&(n=add(n,sum(mul(t.l1,abs(e))))),t.hasL2&&(n=add(n,sum(mul(t.l2,square(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className=\"L1L2\",t}(Regularizer);function l1(e){return new L1L2({l1:null!=e?e.l1:null,l2:0})}function l2(e){return new L1L2({l2:null!=e?e.l2:null,l1:0})}serialization.registerClass(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={l1l2:\"L1L2\"};function serializeRegularizer(e){return serializeKerasObject(e)}function deserializeRegularizer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function getRegularizer(e){return null==e?null:\"string\"==typeof e?deserializeRegularizer({className:e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Regularizer?e:deserializeRegularizer(e)}function normalizeArray(e,t,n){if(\"number\"==typeof e)return pyListRepeat(e,t);if(e.length!==t)throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+e.length+\" elements.\");for(var r=0;r<t;++r){var i=e[r];if(!isInteger(i))throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+JSON.stringify(e)+\" including a non-integer number \"+i)}return e}function convOutputLength(e,t,n,r,i){return void 0===i&&(i=1),null==e?e:(a=\"same\"===n?e:e-(t+(t-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function deconvLength(e,t,n,r){if(null==e)return null;if(\"valid\"===r)e=e*t+max$1([n-t,0]);else{if(\"same\"!==r)throw new ValueError(\"Unsupport padding mode: \"+r+\".\");e*=t}return e}function preprocessConv2DInput(e,t){return tidy(function(){return checkDataFormat(t),\"channelsFirst\"===t?transpose(e,[0,2,3,1]):e})}function conv1dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i=\"valid\"),void 0===o&&(o=1),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.shape.length)throw new ValueError(\"The input of a conv1dWithBias operation should be 3, but is \"+e.shape.length+\" instead.\");if(3!==t.shape.length)throw new ValueError(\"The kernel for a conv1dWithBias operation should be 3, but is \"+t.shape.length+\" instead\");if(null!=n&&1!==n.shape.length)throw new ValueError(\"The bias for a conv1dWithBias operation should be 1, but is \"+t.shape.length+\" instead\");if(\"channelsFirst\"===a&&(e=transpose(e,[0,2,1])),\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");var s=conv1d(e,t,r,\"same\"===i?\"same\":\"valid\",\"NWC\",o);return null!=n&&(s=biasAdd(s,n)),s})}function conv2dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=[1,1]),void 0===i&&(i=\"valid\"),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.rank&&4!==e.rank)throw new ValueError(\"conv2dWithBias expects input to be of rank 3 or 4, but received \"+e.rank+\".\");if(3!==t.rank&&4!==t.rank)throw new ValueError(\"conv2dWithBias expects kernel to be of rank 3 or 4, but received \"+e.rank+\".\");var s=preprocessConv2DInput(e,a);if(\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return s=conv2d(s,t,r,\"same\"===i?\"same\":\"valid\",\"NHWC\",o),null!=n&&(s=biasAdd(s,n)),\"channelsFirst\"===a&&(s=transpose(s,[0,3,1,2])),s})}var BaseConv=function(e){function t(n,r){var i=e.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",i.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.verifyConfig(r),i.rank=n,1!==i.rank&&2!==i.rank)throw new NotImplementedError(\"Convolution layer for rank other than 1 or 2 (\"+i.rank+\") is not implemented yet.\");if(i.kernelSize=normalizeArray(r.kernelSize,n,\"kernelSize\"),i.strides=normalizeArray(null==r.strides?1:r.strides,n,\"strides\"),i.padding=null==r.padding?\"valid\":r.padding,checkPaddingMode(i.padding),i.dataFormat=null==r.dataFormat?\"channelsLast\":r.dataFormat,checkDataFormat(i.dataFormat),i.activation=getActivation(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=getInitializer(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=getConstraint(r.biasConstraint),i.biasRegularizer=getRegularizer(r.biasRegularizer),i.activityRegularizer=getRegularizer(r.activityRegularizer),i.dilationRate=normalizeArray(null==r.dilationRate?1:r.dilationRate,n,\"dilationRate\"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or an array of a single number for 1D convolution, but received \"+JSON.stringify(i.dilationRate));if(2===i.rank)if(\"number\"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or array of two numbers for 2D convolution, but received \"+JSON.stringify(i.dilationRate));return i}return __extends(t,e),t.verifyConfig=function(e){if(assert(\"kernelSize\"in e,\"required key 'kernelSize' not in config\"),\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:serializeActivation(this.activation),useBias:this.useBias,biasInitializer:serializeInitializer(this.biasInitializer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),Conv=function(e){function t(n,r){var i=e.call(this,n,r)||this;return i.kernel=null,t.verifyConfig(r),i.filters=r.filters,i.kernelInitializer=getInitializer(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=getConstraint(r.kernelConstraint),i.kernelRegularizer=getRegularizer(r.kernelRegularizer),i}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the input should be defined. Found \"+e[t]);var n,r=e[t],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;e=getExactlyOneTensor(e);var r=null==n.bias?null:n.bias.read();if(1===n.rank)t=conv1dWithBias(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=conv2dWithBias(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new NotImplementedError(\"3D convolution is not implemented yet.\");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);for(var t=[],n=\"channelsLast\"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var i=convOutputLength(n[r],this.kernelSize[r],this.padding,this.strides[r],\"number\"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(i)}var a=[e[0]];return\"channelsLast\"===this.dataFormat?(a=a.concat(t)).push(this.filters):(a.push(this.filters),a=a.concat(t)),a},t.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:serializeInitializer(this.kernelInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!(\"filters\"in e)||\"number\"!=typeof e.filters||e.filters<1)throw new ValueError(\"Convolution layer expected config.filters to be a 'number' > 0 but got \"+JSON.stringify(e.filters))},t}(BaseConv),Conv2D=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv2D\",t}(Conv);serialization.registerClass(Conv2D);var Conv2DTranspose=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new InputSpec({ndim:4})],\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode \"+n.padding);return n}return __extends(t,e),t.prototype.build=function(e){if(4!==(e=getExactlyOneShape(e)).length)throw new ValueError(\"Input should have rank 4; Received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the inputs should be defined. Found `None`.\");var n,r=e[t],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight(\"kernel\",i,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new InputSpec({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);if(4!==t.shape.length)throw new ValueError(\"Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-\"+t.shape.length);var r,i,a=t.shape,o=a[0];\"channelsFirst\"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],l=a[i],u=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[o,deconvLength(s,p,u,n.padding),deconvLength(l,h,c,n.padding),n.filters];\"channelsLast\"!==n.dataFormat&&(t=transpose(t,[0,2,3,1]));var f=conv2dTranspose(t,n.kernel.read(),d,n.strides,n.padding);return\"channelsLast\"!==n.dataFormat&&(f=transpose(f,[0,3,1,2])),null!=n.bias&&(f=biasAdd(f,n.bias.read(),n.dataFormat)),null!=n.activation&&(f=n.activation.apply(f)),f})},t.prototype.computeOutputShape=function(e){var t,n,r,i=(e=getExactlyOneShape(e)).slice();\"channelsFirst\"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],l=this.strides[1];return i[t]=this.filters,i[n]=deconvLength(i[n],s,a,this.padding),i[r]=deconvLength(i[r],l,o,this.padding),i},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className=\"Conv2DTranspose\",t}(Conv2D);serialization.registerClass(Conv2DTranspose);var SeparableConv=function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",r.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new ValueError(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new ValueError(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(null!=n.padding&&\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"SeparableConv\"+r.rank+\"D supports only padding modes: 'same' and 'valid', but received \"+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=getRegularizer(n.depthwiseRegularizer),r.depthwiseConstraint=getConstraint(n.depthwiseConstraint),r.pointwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=getRegularizer(n.pointwiseRegularizer),r.pointwiseConstraint=getConstraint(n.pointwiseConstraint),r}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<this.rank+2)throw new ValueError(\"Inputs to SeparableConv\"+this.rank+\"D should have rank \"+(this.rank+2)+\", but received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs should be defined, but found \"+JSON.stringify(e[t]));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),i=[],a=0;a<this.rank;++a)i.push(1);i.push(n*this.depthMultiplier,this.filters);var o;this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,\"float32\",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight(\"pointwise_kernel\",i,\"float32\",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new InputSpec({ndim:this.rank+2,axes:(o={},o[t]=n,o)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;if(e=getExactlyOneTensor(e),1===n.rank)throw new NotImplementedError(\"1D separable convolution is not implemented yet.\");return 2===n.rank&&(\"channelsFirst\"===n.dataFormat&&(e=transpose(e,[0,2,3,1])),t=separableConv2d(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,\"NHWC\")),n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),\"channelsFirst\"===n.dataFormat&&(t=transpose(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.pointwiseInitializer=serializeInitializer(this.pointwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.pointwiseRegularizer=serializeRegularizer(this.pointwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseConstraint),t.pointwiseConstraint=serializeConstraint(this.pointwiseConstraint),t},t.className=\"SeparableConv\",t}(Conv),SeparableConv2D=function(e){function t(t){return e.call(this,2,t)||this}return __extends(t,e),t.className=\"SeparableConv2D\",t}(SeparableConv);serialization.registerClass(SeparableConv2D);var Conv1D=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,1))throw new ValueError(\"Conv1D expects config.kernelSize to be number or number[] with length 1, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv1D\",t}(Conv);serialization.registerClass(Conv1D);var Cropping2D=function(e){function t(t){var n=e.call(this,t)||this;return\"number\"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:\"number\"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n.inputSpec=[{ndim:4}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return\"channelsFirst\"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return e=getExactlyOneTensor(e),\"channelsLast\"===n.dataFormat?sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Cropping2D\",t}(Layer);serialization.registerClass(Cropping2D);var UpSampling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,n}return __extends(t,e),t.prototype.computeOutputShape=function(e){if(\"channelsFirst\"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2];return[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e),r=t.shape;if(\"channelsFirst\"===n.dataFormat){t=transpose(t,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=t.resizeNearestNeighbor([i,a]);return transpose(o,[0,3,1,2])}i=n.size[0]*r[1],a=n.size[1]*r[2];return t.resizeNearestNeighbor([i,a])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"UpSampling2D\",t}(Layer);function depthwiseConv2d$1(e,t,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r=\"valid\"),tidy(function(){null==i&&(i=imageDataFormat()),checkDataFormat(i);var o=preprocessConv2DInput(e,i);if(4!==e.rank)throw new ValueError(\"Input for depthwiseConv2d is required to be 4-D, but is instead \"+e.rank+\"-D\");if(4!==t.rank)throw new ValueError(\"depthwiseKernel is required to be 4-D, but is instead \"+t.rank+\"-D\");return o=depthwiseConv2d(o,t,n,\"same\"===r?\"same\":\"valid\",\"NHWC\",a),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(UpSampling2D);var DepthwiseConv2D=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=getInitializer(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=getConstraint(t.depthwiseConstraint),n.depthwiseRegularizer=getRegularizer(t.depthwiseRegularizer),n}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<4)throw new ValueError(\"Inputs to DepthwiseConv2D should have rank 4. Received input shape: \"+JSON.stringify(e)+\".\");var t=\"channelsFirst\"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (\"+e[t]+\").\");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=depthwiseConv2d$1(e=getExactlyOneTensor(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2],r=\"channelsFirst\"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,i=convOutputLength(t,this.kernelSize[0],this.padding,this.strides[0]),a=convOutputLength(n,this.kernelSize[1],this.padding,this.strides[1]);return\"channelsFirst\"===this.dataFormat?[e[0],r,i,a]:[e[0],i,a,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseRegularizer),t},t.className=\"DepthwiseConv2D\",t}(BaseConv);serialization.registerClass(DepthwiseConv2D);var Dropout=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=getScalar(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Non-default seed is not implemented in Dropout layer yet: \"+n.seed);return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);if(null!=n.noiseShape&&!util.arraysEqual(r.shape,n.noiseShape))throw new NotImplementedError(\"Non-default noise shape is not implemented in Dropout layer yet: \"+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,a=n.getNoiseShape(r);return inTrainPhase(function(){return dropout(r,n.rateScalar,a,n.seed)},function(){return r},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dropout\",t}(Layer);serialization.registerClass(Dropout);var Dense=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=getActivation(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=getConstraint(t.kernelConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return __extends(t,e),t.prototype.build=function(e){var t,n=(e=getExactlyOneShape(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight(\"kernel\",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=dot(getExactlyOneTensor(e),n.kernel.read());return null!=n.bias&&(r=biasAdd(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dense\",t}(Layer);serialization.registerClass(Dense);var Flatten=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=getExactlyOneShape(e)).slice(1);t<n.length;t++){if(null==n[t])throw new ValueError('The shape of the input to \"Flatten\" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.')}return[e[0],arrayProd(e,1)]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),batchFlatten(getExactlyOneTensor(e))})},t.className=\"Flatten\",t}(Layer);serialization.registerClass(Flatten);var Activation$1=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=getActivation(t.activation),n}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:serializeActivation(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Activation\",t}(Layer);serialization.registerClass(Activation$1);var RepeatVector=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return repeat(e=getExactlyOneTensor(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"RepeatVector\",t}(Layer);serialization.registerClass(RepeatVector);var Reshape=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return __extends(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n=\"Total size of new array must be unchanged.\",r=t.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new ValueError(\"Can only specifiy one unknown dimension.\");a=o}else i*=s}var l=arrayProd(e);if(null!==a){if(0===i||l%i!=0)throw new ValueError(n);r[a]=l/i}else if(l!==i)throw new ValueError(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e),i=r.shape,a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Reshape\",t}(Layer);serialization.registerClass(Reshape);var Permute=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(\"Permute constructor requires `dims` to be an Array, but received \"+t.dims+\" instead.\");var r=range(1,t.dims.length+1);if(!util.arraysEqual(t.dims.slice().sort(),r))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new InputSpec({ndim:n.dims.length+1})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return transpose(getExactlyOneTensor(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Permute\",t}(Layer);serialization.registerClass(Permute);var Embedding=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(toList(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=getInitializer(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=getRegularizer(t.embeddingsRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.embeddingsConstraint=getConstraint(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return __extends(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Embedding yet\")},t.prototype.computeOutputShape=function(e){if(e=getExactlyOneShape(e),null==this.inputLength)return e.concat([this.outputDim]);var t=toList(this.inputLength);if(t.length!==e.length-1)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);for(var n=0,r=0;r<t.length;++r){var i=t[r],a=e[r+1];if(null!=i&&null!=a&&i!==a)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);null==i&&(t[n]=a),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return\"int32\"!==r.dtype&&(r=cast$1(r,\"int32\")),gather$1(n.embeddings.read(),r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:serializeInitializer(this.embeddingsInitializer),embeddingsRegularizer:serializeRegularizer(this.embeddingsRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),embeddingsConstraint:serializeConstraint(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Embedding\",t}(Layer);serialization.registerClass(Embedding);var Merge=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.mergeFunction=function(e){throw new NotImplementedError},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var i=e[e.length-t.length+r],a=t[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new ValueError(\"Operands could not be broadcast together with shapes \"+JSON.stringify(e)+\" \"+JSON.stringify(t));n.push(i)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[getExactlyOneShape(e)]),(e=e).length<2)throw new ValueError(\"A merge layer should be called on an Array of at least 2 inputs. Got \"+e.length+\" input(s).\");for(var t=[],n=0,r=e;n<r.length;n++){null!=(o=r[n])&&null!==o[0]&&t.push(o[0])}if((t=unique(t)).length>1)throw new ValueError(\"Can not merge tensors with different batch sizes. Got tensors with shapes: \"+JSON.stringify(e)+\".\");for(var i=null==e[0]?null:e[0].slice(1),a=1;a<e.length;++a){var o=null==e[a]?null:e[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===unique(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(e=e,n.reshapeRequired){var t=[],r=e.map(function(e){return e.rank});if(-1===r.indexOf(null)){for(var i=max$1(r),a=0,o=e;a<o.length;a++){for(var s=(h=o[a]).rank,l=0;l<i-s;++l)h=expandDims(h,1);t.push(h)}return n.mergeFunction(t)}for(var u=!1,c=0,p=e;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var d=h.shape,f=d[0],g=d.slice(1).concat([f]),m=h.reshape([f].concat(arrayProd(d.slice(1))));m=(m=transpose(m,[1,0])).reshape(g),t.push(m),u=!0}else if(s>1){var y=range(1,s).concat([0]);t.push(transpose(h,y)),u=!0}else t.push(h)}var v=n.mergeFunction(t),b=v.rank;if(u)if(null==b){var w=v.shape;g=[f=w[w.length-1]].concat(w.slice(0,w.length-1));v=transpose(v.reshape([-1,f]),[1,0]).reshape(g)}else if(b>1){y=[b-1].concat(range(0,b-1));v=transpose(v,y)}return v}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var i=[],a=0,o=e;a<o.length;a++){null!=(r=o[a])&&null!==r[0]&&i.push(r[0])}return t=1===(i=unique(i)).length?i.concat(t):[null].concat(t)},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Merge yet\")},t}(Layer),Add=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return t})},t.className=\"Add\",t}(Merge);serialization.registerClass(Add);var Multiply=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=mul(t,e[n]);return t})},t.className=\"Multiply\",t}(Merge);serialization.registerClass(Multiply);var Average=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return mul(getScalar(1/e.length),t)})},t.className=\"Average\",t}(Merge);serialization.registerClass(Average);var Maximum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=maximum(t,e[n]);return t})},t.className=\"Maximum\",t}(Merge);serialization.registerClass(Maximum);var Minimum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=minimum(t,e[n]);return t})},t.className=\"Minimum\",t}(Merge);serialization.registerClass(Minimum);var Concatenate=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new ValueError(\"A `Concatenate` layer should be called on a list of at least 2 inputs\");for(var t=!0,n=0,r=e=e;n<r.length;n++){if(null!=(c=r[n])){t=!1;break}}if(!t){for(var i=[],a=0;a<e.length;++a){var o=e[a].slice();o.splice(this.axis,1);for(var s=!1,l=0,u=i;l<u.length;l++){var c=u[l];if(util.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new ValueError(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return tidy(function(){return concatenate(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new ValueError(\"A `Concatenate` layer should be called on a list of inputs.\");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=t.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Concatenate yet\")},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Concatenate\",t}(Merge);function interpretAxis(e,t){for(;e<0;)e+=t;return e}function batchDot(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new NotImplementedError(\"batchDot is not implemented for tensors of 4D or higher rank yet\");if(util.assert(e.shape.length>=2,\"batchDot requires the rank of x to be >= 2, but got \"+e.shape.length),util.assert(e.shape.length>=2,\"batchDot requires the rank of y to be >= 2, but got \"+t.shape.length),\"number\"==typeof n&&(n=[n,n]),\"complex64\"===e.dtype||\"complex64\"===t.dtype)throw new NotImplementedError(\"batchDot is not implemented for complex64-type Tensors yet.\");var r=e.shape.length,i=t.shape.length;null==n&&(n=[r-1,i-2]);var a=n;return tidy(function(){var n,o;if(r>i){n=r-i;for(var s=[],l=0;l<n;++l)s.push(1);t=t.reshape(t.shape.concat(s))}else if(i>r){n=i-r;for(s=[],l=0;l<n;++l)s.push(1);e=e.reshape(e.shape.concat(s))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=a[0]===a[1]?e.mulStrict(t).sum(a[0]):e.transpose([1,0]).mulStrict(t).sum(a[1]);else{var u=a[0]!==e.shape.length-1||null,c=a[1]===t.shape.length-1||null;o=e.matMul(t,u,c)}if(n>0){var p=void 0,h=[];for(l=p=r>i?r+i-3:r-1;l<p+n;++l)h.push(l);o=o.squeeze(h)}return 1===o.shape.length&&(o=o.expandDims(1)),o})}serialization.registerClass(Concatenate);var Dot=function(e){function t(t){var n=e.call(this,t)||this;return n.axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),\"A `Dot` layer should be called on a list of exactly 2 inputs.\");var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new NotImplementedError(\"Dot layer does not support tensors of 4D or higher rank yet.\");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new ValueError(\"Dimension incompatibility: \"+t[r[0]]+\" !== \"+n[r[1]])},t.prototype.mergeFunction=function(e){if(2!==e.length)throw new ValueError(\"A `Dot` layer must be called on exactly 2 inputs, but received \"+e.length+\" input(s).\");var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map(function(t,n){return interpretAxis(t,e[n].shape.length)}):[interpretAxis(this.axes,n.shape.length),interpretAxis(this.axes,r.shape.length)],this.normalize&&(n=l2Normalize(n,t[0]),r=l2Normalize(r,t[1])),batchDot(n,r,t)},t.prototype.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[interpretAxis(this.axes,e.length),interpretAxis(this.axes,t.length)]},t.prototype.computeOutputShape=function(e){util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),\"A `Dot` layer should be called on a list of exactly 2 inputs.\");var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new NotImplementedError(\"Dot layer does not support tensors of 4D or higher rank yet.\");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var i=t.concat(n);return 1===i.length&&i.push(1),i},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Dot yet\")},t.prototype.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dot\",t}(Merge);function batchNormalization(e,t,n,r,i,a){var o;if(void 0===a&&(a=.001),2===e.rank)o=batchNormalization2d(e,t,n,a,i,r);else if(3===e.rank)o=batchNormalization3d(e,t,n,a,i,r);else{if(4!==e.rank)throw new NotImplementedError(\"batchNormalization is not implemented for array of rank \"+e.rank+\" yet\");o=batchNormalization4d(e,t,n,a,i,r)}return o}function regularNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){var a=moments(e,r),o=a.mean,s=a.variance;return[batchNormalization(e,o,s,n,t,i),o,s]})}function broadcastNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){for(var a=moments(e,r),o=a.mean,s=a.variance,l=[],u=0,c=range(0,e.rank);u<c.length;u++){var p=c[u];-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=o.reshape(l),d=s.reshape(l),f=null==t?null:t.reshape(l),g=null==n?null:n.reshape(l);return[batchNormalization(e,h,d,g,f,i),o,s]})}function normalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),util.arraysEqual(r.slice().sort(),range(0,e.rank-1))?regularNormalizeBatchInTraining(e,t,n,r,i):broadcastNormalizeBatchInTraining(e,t,n,r,i)}serialization.registerClass(Dot);var BatchNormalization=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=getInitializer(t.betaInitializer||\"zeros\"),n.gammaInitializer=getInitializer(t.gammaInitializer||\"ones\"),n.movingMeanInitializer=getInitializer(t.movingMeanInitializer||\"zeros\"),n.movingVarianceInitializer=getInitializer(t.movingVarianceInitializer||\"ones\"),n.betaConstraint=getConstraint(t.betaConstraint),n.gammaConstraint=getConstraint(t.gammaConstraint),n.betaRegularizer=getRegularizer(t.betaRegularizer),n.gammaRegularizer=getRegularizer(t.gammaRegularizer),n.stepCount=0,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new ValueError(\"Axis \"+t+\" of input tensor should have a defined dimension but the layer received an input with shape \"+JSON.stringify(e)+\".\");this.inputSpec=[new InputSpec({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,i=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training,i=getExactlyOneTensor(e),a=i.shape,o=a.length,s=range(0,o),l=n.axis>=0?n.axis:n.axis+o;s.splice(l,1);var u=pyListRepeat(1,o);u[l]=a[l];var c=s.slice();c.sort();var p=!util.arraysEqual(c,range(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(u),t=n.movingVariance.read().reshape(u),r=n.center?n.beta.read().reshape(u):null,a=n.scale?n.gamma.read().reshape(u):null;return batchNormalization(i,e,t,r,a,n.epsilon)}return batchNormalization(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=normalizeBatchInTraining(i,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],f=h[1],g=h[2],m=arrayProd(s.map(function(e){return i.shape[e]})),y=g.mul(getScalar(m/(m-(1+n.epsilon))));return function(){n.stepCount++;var e=movingAverage(n.movingMean.read(),f,n.momentum,n.stepCount);n.movingMean.write(e);var t=movingAverage(n.movingVariance.read(),y,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:serializeInitializer(this.betaInitializer),gammaInitializer:serializeInitializer(this.gammaInitializer),movingMeanInitializer:serializeInitializer(this.movingMeanInitializer),movingVarianceInitializer:serializeInitializer(this.movingVarianceInitializer),betaRegularizer:serializeRegularizer(this.betaRegularizer),gammaRegularizer:serializeRegularizer(this.gammaRegularizer),betaConstraint:serializeConstraint(this.betaConstraint),gammaConstraint:serializeConstraint(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"BatchNormalization\",t}(Layer);function spatial2dPadding(e,t,n){return tidy(function(){if(4!==e.rank)throw new ValueError(\"temporalPadding expects input tensor to be 4-D, but received a \"+e.rank+\"-D tensor.\");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new ValueError(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(null==n&&(n=imageDataFormat()),\"channelsLast\"!==n&&\"channelsFirst\"!==n)throw new ValueError(\"Unknown data format: \"+n+\". Supported data formats are 'channelsLast' and 'channelsFirst.\");var r;return r=\"channelsFirst\"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],pad(e,r)})}serialization.registerClass(BatchNormalization);var ZeroPadding2D=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?imageDataFormat():t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if(\"number\"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new ValueError(\"ZeroPadding2D expects padding to be a length-2 array, but received a length-\"+t.padding.length+\" array.\");var r=void 0,i=void 0;if(\"number\"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new ValueError(\"ZeroPadding2D expects height padding to be a length-2 array, but received a length-\"+t.padding[0].length+\" array.\");if(r=t.padding[0],2!==t.padding[1].length)throw new ValueError(\"ZeroPadding2D expects width padding to be a length-2 array, but received a length-\"+t.padding[1].length+\" array.\");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=getExactlyOneShape(e),\"channelsFirst\"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return tidy(function(){return spatial2dPadding(getExactlyOneTensor(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ZeroPadding2D\",t}(Layer);function pool2d(e,t,n,r,i,a){return tidy(function(){var o;checkDataFormat(i),checkPoolMode(a),checkPaddingMode(r),null==n&&(n=[1,1]),null==r&&(r=\"valid\"),null==i&&(i=imageDataFormat()),null==a&&(a=\"max\"),e=preprocessConv2DInput(e,i);var s=\"same\"===r?\"same\":\"valid\";return o=\"max\"===a?maxPool(e,t,n,s):avgPool(e,t,n,s),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(ZeroPadding2D);var Pooling1D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,\"number\"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||\"number\"!=typeof t.poolSize[0])throw new ValueError(\"poolSize for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if(\"number\"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||\"number\"!=typeof t.strides[0])throw new ValueError(\"strides for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?\"valid\":t.padding,checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=convOutputLength((e=getExactlyOneShape(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t),e=expandDims(getExactlyOneTensor(e),2);var r=n.poolingFunction(getExactlyOneTensor(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,\"channelsLast\");return squeeze(r,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling1D\",t}(Pooling1D);serialization.registerClass(MaxPooling1D);var AveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling1D\",t}(Pooling1D);serialization.registerClass(AveragePooling1D);var Pooling2D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new ValueError(\"If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length \"+t.strides.length+\".\");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?\"valid\":t.padding,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2];return t=convOutputLength(t,this.poolSize[0],this.padding,this.strides[0]),n=convOutputLength(n,this.poolSize[1],this.padding,this.strides[1]),\"channelsFirst\"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),n.poolingFunction(getExactlyOneTensor(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling2D\",t}(Pooling2D);serialization.registerClass(MaxPooling2D);var AveragePooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling2D\",t}(Pooling2D);serialization.registerClass(AveragePooling2D);var GlobalPooling1D=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new NotImplementedError},t}(Layer),GlobalAveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return mean(t,1)})},t.className=\"GlobalAveragePooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalAveragePooling1D);var GlobalMaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return max(t,1)})},t.className=\"GlobalMaxPooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalMaxPooling1D);var GlobalPooling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return e=e,\"channelsLast\"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new NotImplementedError},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),GlobalAveragePooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?mean(t,[1,2]):mean(t,[2,3])})},t.className=\"GlobalAveragePooling2D\",t}(GlobalPooling2D);serialization.registerClass(GlobalAveragePooling2D);var GlobalMaxPooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?max(t,[1,2]):max(t,[2,3])})},t.className=\"GlobalMaxPooling2D\",t}(GlobalPooling2D);function standardizeArgs(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new ValueError(\"When inputs is an array, neither initialState or constants should be provided\");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function i(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=i(t),constants:n=i(n)}}function rnn(e,t,n,r,i,a,o,s){void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1);var l=t.shape.length;if(l<3)throw new ValueError(\"Input should be at least 3D, but is \"+l+\"D.\");var u,c,p=[1,0].concat(range(2,l));if(t=transpose(t,p),null!=i)throw new NotImplementedError(\"The rnn() function of the deeplearn.js backend does not support masking yet.\");if(null!=a)throw new NotImplementedError(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");o&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),r&&(t=reverse(t,0));for(var h=n,d=t.shape[0],f=function(n){var r=sliceAlongFirstAxis(t,n,1);r=r.reshape(r.shape.slice(1));var i=tidy(function(){return e(r,h)});if(c=i[0],s)if(0===n)u=c.expandDims(1);else{var a=concat([u,c.expandDims(1)],1);u.dispose(),u=a}h=i[1]},g=0;g<d;++g)f(g);return[c,u,h]}serialization.registerClass(GlobalMaxPooling2D);var RNN=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new ValueError(\"cell property is missing for the constructor of RNN.\");if(null==(n=Array.isArray(t.cell)?new StackedRNNCells({cells:t.cell}):t.cell).stateSize)throw new ValueError(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new InputSpec({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return __extends(t,e),t.prototype.getStates=function(){return null==this.states?range(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var i=[],a=0,o=t;a<o.length;a++){var s=o[a];i.push([e[0],s])}return[n].concat(i)}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for RNN yet\")},t.prototype.build=function(e){if(null!=this.numConstants)throw new NotImplementedError(\"Constants support is not implemented in RNN yet.\");isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new InputSpec({shape:[t,null,n]});var r,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),r))throw new ValueError(\"An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=\"+this.stateSpec+\"; However cell.stateSize is \"+this.cell.stateSize)}else this.stateSpec=r.map(function(e){return new InputSpec({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),tidy(function(){if(!n.stateful)throw new AttributeError(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");var r=n.inputSpec[0].shape[0];if(null==r)throw new ValueError(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(null==n.states)Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return zeros([r,e])}):n.states=[zeros([r,n.cell.stateSize])];else if(null==e)dispose(n.states),null!=n.keptStates&&(dispose(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return zeros([r,e])}):n.states[0]=zeros([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states.length)throw new ValueError(\"Layer \"+n.name+\" expects \"+n.states.length+\" state(s), but it received \"+e.length+\" state value(s). Input received: \"+e);!0===t?n.keptStates.push(n.states.slice()):dispose(n.states);for(var i=0;i<n.states.length;++i){var a=e[i],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,s=[r,o];if(!util.arraysEqual(a.shape,s))throw new ValueError(\"State \"+i+\" is incompatible with layer \"+n.name+\": expected shape=\"+s+\", received shape=\"+a.shape);n.states[i]=a}}n.states.forEach(function(e){return keep(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);t=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var l=0,u=r;l<u.length;l++){var c=u[l];this.stateSpec.push(new InputSpec({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof SymbolicTensor){var p=[t].concat(o),h=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=h;var f=e.prototype.apply.call(this,p,n);return this.inputSpec=d,f}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null==t?null:t.mask,i=null==t?null:t.training,a=null==t?null:t.initialState;if(e=getExactlyOneTensor(e),null==a&&(a=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new NotImplementedError(\"Masking is not implemented for RNN yet\");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new ValueError(\"RNN Layer has \"+o+\" state(s) but was passed \"+a.length+\" initial state(s).\");n.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");var s={training:i},l=rnn(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,a,n.goBackwards,null,null,n.unroll,n.returnSequences),u=l[0],c=l[1],p=l[2];n.stateful&&n.resetStates(p,i);var h=n.returnSequences?c:u;return n.returnState?[h].concat(p):h})},t.prototype.getInitialState=function(e){var t=this;return tidy(function(){var n=zeros(e.shape);return n=expandDims(n=sum(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?tile$1(n,[1,e]):n}):t.cell.stateSize>1?[tile$1(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className=\"RNN\",t}(Layer);serialization.registerClass(RNN);var RNNCell=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(Layer),SimpleRNNCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e),this.kernel=this.addWeight(\"kernel\",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"SimpleRNNCell expects 2 input Tensors, got \"+e.length+\".\");var r=e[1];e=e[0];var i,a=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,a)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(r)},n.recurrentDropout,a));var o=n.dropoutMask,s=n.recurrentDropoutMask;i=dot(null!=o?mul(e,o):e,n.kernel.read()),null!=n.bias&&(i=biasAdd(i,n.bias.read())),null!=s&&(r=mul(r,s));var l=add(i,dot(r,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"SimpleRNNCell\",t}(RNNCell);serialization.registerClass(SimpleRNNCell);var SimpleRNN=function(e){function t(t){return t.cell=new SimpleRNNCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className=\"SimpleRNN\",t}(RNN);serialization.registerClass(SimpleRNN);var GRUCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t=(e=getExactlyOneShape(e))[e.length-1];this.kernel=this.addWeight(\"kernel\",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"GRUCell expects 2 input Tensors (inputs, h, c), got \"+e.length+\".\");var r=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,3));var a,o,s,l=n.dropoutMask,u=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=mul(e,l[0]));var c=dot(e,n.kernel.read());n.useBias&&(c=biasAdd(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=mul(i,u[0]));var p=n.recurrentKernel.read(),h=split(p,[2*n.units,n.units],p.rank-1),d=h[0],f=h[1],g=dot(i,d),m=split(c,3,c.rank-1),y=m[0],v=m[1],b=m[2],w=split(g,2,g.rank-1),z=w[0],S=w[1];a=n.recurrentActivation.apply(add(y,z)),o=n.recurrentActivation.apply(add(v,S));var I=dot(mul(o,i),f);s=n.activation.apply(add(b,I));var N=add(mul(a,i),mul(add(getScalar(1),neg(a)),s));return[N,N]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"GRUCell\",t}(RNNCell);serialization.registerClass(GRUCell);var GRU=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new GRUCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"GRU\",t}(RNN);serialization.registerClass(GRU);var LSTMCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t,n,r=(e=getExactlyOneShape(e))[e.length-1];if(this.kernel=this.addWeight(\"kernel\",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){var n=i.apply([a]),r=(new Ones).apply([a]),o=i.apply([2*a]);return concatAlongFirstAxis(concatAlongFirstAxis(n,r),o)},t}(Initializer)).className=\"CustomInit\",n)}else t=this.biasInitializer;this.bias=this.addWeight(\"bias\",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new ValueError(\"LSTMCell expects 3 input Tensors (inputs, h, c), got \"+e.length+\".\");var i=e[1],a=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,4));var o,s,l,u,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=mul(e,c[0]));var h=dot(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=mul(i,p[0])),h=add(h,dot(i,n.recurrentKernel.read())),n.useBias&&(h=biasAdd(h,n.bias.read()));var d=split(h,4,h.rank-1),f=d[0],g=d[1],m=d[2],y=d[3];o=n.recurrentActivation.apply(f),s=n.recurrentActivation.apply(g),l=add(mul(s,a),mul(o,n.activation.apply(m))),u=n.recurrentActivation.apply(y);var v=mul(u,n.activation.apply(l));return[v,v,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LSTMCell\",t}(RNNCell);serialization.registerClass(LSTMCell);var LSTM=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new LSTMCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"unitForgetBias\",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"LSTM\",t}(RNN);serialization.registerClass(LSTM);var StackedRNNCells=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return __extends(t,e),Object.defineProperty(t.prototype,\"stateSize\",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return tidy(function(){for(var r=(e=e).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var l,u=[],c=0;c<n.cells.length;++c){s=n.cells[c];r=i[c],l=0===c?[e[0]].concat(r):[l[0]].concat(r),l=s.call(l,t),u.push(l.slice(1))}r=[];for(var p=0,h=u.slice().reverse();p<h.length;p++){var d=h[p];r.push.apply(r,d)}return[l[0]].concat(r)})},t.prototype.build=function(e){var t;isArrayOfShapes(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(e),t=Array.isArray(i.stateSize)?i.stateSize[0]:i.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];t.push({className:this.getClassName(),config:i.getConfig()})}var a={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(a,o),a},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],i=0,a=t.cells;i<a.length;i++){var o=a[i];r.push(deserialize(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return batchGetValue(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=e.splice(a),s=0;s<i.weights.length;++s)t.push([i.weights[s],o[s]]);batchSetValue(t)},t.className=\"StackedRNNCells\",t}(RNNCell);function generateDropoutMask(e,t,n,r){function i(){return dropout(e(),getScalar(t))}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var a=[],o=0;o<r;o++)a.push(inTrainPhase(i,e,n));return a.forEach(function(e){return keep(e)}),a}return keep(inTrainPhase(i,e,n))}serialization.registerClass(StackedRNNCells);var Wrapper=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return __extends(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,\"trainable\",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"updates\",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=deserialize(t.layer,n);delete t.layer;var i={layer:r};return Object.assign(i,t),new e(i)},t}(Layer),TimeDistributed=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.build=function(t){if((t=getExactlyOneShape(t)).length<3)throw new ValueError(\"TimeDistributed layer expects an input shape >= 3D, but received input shape \"+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},t.prototype.computeOutputShape=function(e){var t=[(e=getExactlyOneShape(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},t.prototype.call=function(e,t){var n=this;return tidy(function(){return rnn(function(e,r){return[getExactlyOneTensor(n.layer.call(e,t)),[]]},e=getExactlyOneTensor(e),[],!1,null,null,!1,!0)[1]})},t.className=\"TimeDistributed\",t}(Wrapper);serialization.registerClass(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES=[\"sum\",\"mul\",\"concat\",\"ave\"];function checkBidirectionalMergeMode(e){checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES,\"BidirectionalMergeMode\",e)}var Bidirectional=function(e){function t(t){var n=e.call(this,t)||this,r=t.layer.getConfig();if(n.forwardLayer=deserialize({className:t.layer.getClassName(),config:r}),r.goBackwards=!0!==r.goBackwards,n.backwardLayer=deserialize({className:t.layer.getClassName(),config:r}),n.forwardLayer.name=\"forward_\"+n.forwardLayer.name,n.backwardLayer.name=\"backward_\"+n.backwardLayer.name,checkBidirectionalMergeMode(t.mergeMode),n.mergeMode=t.mergeMode,t.weights)throw new NotImplementedError(\"weights support is not implemented for Bidirectional layer yet.\");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}return __extends(t,e),Object.defineProperty(t.prototype,\"trainable\",{get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},t.prototype.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},t.prototype.computeOutputShape=function(e){var t,n,r,i=this.forwardLayer.computeOutputShape(e);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),t=i[0]):t=i[0],t=t,\"concat\"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):singletonOrArray(n)},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);if(t=a.inputs,r=a.initialState,i=a.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==i)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var l=r.length;if(l%2>0)throw new ValueError(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");n.initialState=r,o.push.apply(o,r);var u=r.map(function(e){return new InputSpec({shape:e.shape})});this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),s.push.apply(s,u)}if(null!=i)throw new NotImplementedError(\"Support for constants in Bidirectional layers is not implemented yet.\");for(var c=o[0]instanceof SymbolicTensor,p=0,h=o;p<h.length;p++){if(h[p]instanceof SymbolicTensor!==c)throw new ValueError(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\")}if(c){var d=[t].concat(o),f=this.inputSpec.concat(s),g=this.inputSpec;this.inputSpec=f;var m=e.prototype.apply.call(this,d,n);return this.inputSpec=g,m}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(null!=t.mask)throw new NotImplementedError(\"The support for masking is not implemented for Bidirectional layers yet.\");var r,i,a,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),i=n.backwardLayer.call(e,t);else{var l=s.slice(0,s.length/2),u=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:l})),i=n.backwardLayer.call(e,Object.assign(t,{initialState:u}))}return n.returnState&&(Array.isArray(r)&&(a=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),n.returnSequences&&(i=reverse(i,1)),\"concat\"===n.mergeMode?o=concatenate([r,i]):\"sum\"===n.mergeMode?o=add(r,i):\"ave\"===n.mergeMode?o=mul(getScalar(.5),add(r,i)):\"mul\"===n.mergeMode?o=mul(r,i):null==n.mergeMode&&(o=[r,i]),n.returnState?null==n.mergeMode?o.concat(a):[o].concat(a):o})},t.prototype.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},t.prototype.build=function(e){var t=this;nameScope(this.forwardLayer.name,function(){t.forwardLayer.build(e)}),nameScope(this.backwardLayer.name,function(){t.backwardLayer.build(e)}),this.built=!0},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=deserialize(t.layer);if(delete t.layer,null!=t.numConstants)throw new NotImplementedError(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");var r=t;return r.layer=n,new e(r)},t.className=\"Bidirectional\",t}(Wrapper);function inputLayer(e){return new InputLayer(e)}function elu$2(e){return new ELU(e)}function reLU(e){return new ReLU(e)}function leakyReLU(e){return new LeakyReLU(e)}function softmax$1(e){return new Softmax$1(e)}function thresholdedReLU(e){return new ThresholdedReLU(e)}function conv1d$2(e){return new Conv1D(e)}function conv2d$2(e){return new Conv2D(e)}function conv2dTranspose$1(e){return new Conv2DTranspose(e)}function separableConv2d$1(e){return new SeparableConv2D(e)}function cropping2D(e){return new Cropping2D(e)}function upSampling2d(e){return new UpSampling2D(e)}function depthwiseConv2d$2(e){return new DepthwiseConv2D(e)}function activation(e){return new Activation$1(e)}function dense(e){return new Dense(e)}function dropout$1(e){return new Dropout(e)}function flatten$1(e){return new Flatten(e)}function repeatVector(e){return new RepeatVector(e)}function reshape(e){return new Reshape(e)}function permute(e){return new Permute(e)}function embedding(e){return new Embedding(e)}function add$2(e){return new Add(e)}function average$1(e){return new Average(e)}function concatenate$2(e){return new Concatenate(e)}function maximum$2(e){return new Maximum(e)}function minimum$2(e){return new Minimum(e)}function multiply$1(e){return new Multiply(e)}function dot$1(e){return new Dot(e)}function batchNormalization$1(e){return new BatchNormalization(e)}function zeroPadding2d(e){return new ZeroPadding2D(e)}function averagePooling1d(e){return new AveragePooling1D(e)}function avgPool1d(e){return averagePooling1d(e)}function avgPooling1d(e){return averagePooling1d(e)}function averagePooling2d(e){return new AveragePooling2D(e)}function avgPool2d(e){return averagePooling2d(e)}function avgPooling2d(e){return averagePooling2d(e)}function globalAveragePooling1d(e){return new GlobalAveragePooling1D(e)}function globalAveragePooling2d(e){return new GlobalAveragePooling2D(e)}function globalMaxPooling1d(e){return new GlobalMaxPooling1D(e)}function globalMaxPooling2d(e){return new GlobalMaxPooling2D(e)}function maxPooling1d(e){return new MaxPooling1D(e)}function maxPooling2d(e){return new MaxPooling2D(e)}function gru(e){return new GRU(e)}function gruCell(e){return new GRUCell(e)}function lstm(e){return new LSTM(e)}function lstmCell(e){return new LSTMCell(e)}function simpleRNN(e){return new SimpleRNN(e)}function simpleRNNCell(e){return new SimpleRNNCell(e)}function rnn$1(e){return new RNN(e)}function stackedRNNCells(e){return new StackedRNNCells(e)}function bidirectional(e){return new Bidirectional(e)}function timeDistributed(e){return new TimeDistributed(e)}serialization.registerClass(Bidirectional);var globalMaxPool1d=globalMaxPooling1d,globalMaxPool2d=globalMaxPooling2d,maxPool1d=maxPooling1d,maxPool2d=maxPooling2d,exports_layers=Object.freeze({inputLayer:inputLayer,elu:elu$2,reLU:reLU,leakyReLU:leakyReLU,softmax:softmax$1,thresholdedReLU:thresholdedReLU,conv1d:conv1d$2,conv2d:conv2d$2,conv2dTranspose:conv2dTranspose$1,separableConv2d:separableConv2d$1,cropping2D:cropping2D,upSampling2d:upSampling2d,depthwiseConv2d:depthwiseConv2d$2,activation:activation,dense:dense,dropout:dropout$1,flatten:flatten$1,repeatVector:repeatVector,reshape:reshape,permute:permute,embedding:embedding,add:add$2,average:average$1,concatenate:concatenate$2,maximum:maximum$2,minimum:minimum$2,multiply:multiply$1,dot:dot$1,batchNormalization:batchNormalization$1,zeroPadding2d:zeroPadding2d,averagePooling1d:averagePooling1d,avgPool1d:avgPool1d,avgPooling1d:avgPooling1d,averagePooling2d:averagePooling2d,avgPool2d:avgPool2d,avgPooling2d:avgPooling2d,globalAveragePooling1d:globalAveragePooling1d,globalAveragePooling2d:globalAveragePooling2d,globalMaxPooling1d:globalMaxPooling1d,globalMaxPooling2d:globalMaxPooling2d,maxPooling1d:maxPooling1d,maxPooling2d:maxPooling2d,gru:gru,gruCell:gruCell,lstm:lstm,lstmCell:lstmCell,simpleRNN:simpleRNN,simpleRNNCell:simpleRNNCell,rnn:rnn$1,stackedRNNCells:stackedRNNCells,bidirectional:bidirectional,timeDistributed:timeDistributed,globalMaxPool1d:globalMaxPool1d,globalMaxPool2d:globalMaxPool2d,maxPool1d:maxPool1d,maxPool2d:maxPool2d,Layer:Layer,RNN:RNN,RNNCell:RNNCell,input:input}),exports_models=Object.freeze({modelFromJSON:modelFromJSON});function binaryAccuracy$1(e,t){return binaryAccuracy(e,t)}function binaryCrossentropy$2(e,t){return binaryCrossentropy$1(e,t)}function categoricalAccuracy$1(e,t){return categoricalAccuracy(e,t)}function categoricalCrossentropy$2(e,t){return categoricalCrossentropy$1(e,t)}function precision$1(e,t){return precision(e,t)}function recall$1(e,t){return recall(e,t)}function cosineProximity$1(e,t){return cosineProximity(e,t)}function meanAbsoluteError$1(e,t){return meanAbsoluteError(e,t)}function meanAbsolutePercentageError$1(e,t){return meanAbsolutePercentageError(e,t)}function MAPE$2(e,t){return meanAbsolutePercentageError(e,t)}function mape$2(e,t){return meanAbsolutePercentageError(e,t)}function meanSquaredError$1(e,t){return meanSquaredError(e,t)}function MSE$2(e,t){return meanSquaredError(e,t)}function mse$2(e,t){return meanSquaredError(e,t)}var exports_metrics=Object.freeze({binaryAccuracy:binaryAccuracy$1,binaryCrossentropy:binaryCrossentropy$2,categoricalAccuracy:categoricalAccuracy$1,categoricalCrossentropy:categoricalCrossentropy$2,precision:precision$1,recall:recall$1,cosineProximity:cosineProximity$1,meanAbsoluteError:meanAbsoluteError$1,meanAbsolutePercentageError:meanAbsolutePercentageError$1,MAPE:MAPE$2,mape:mape$2,meanSquaredError:meanSquaredError$1,MSE:MSE$2,mse:mse$2});function l1l2(e){return new L1L2(e)}function l1$1(e){return l1(e)}function l2$1(e){return l2(e)}var exports_regularizers=Object.freeze({l1l2:l1l2,l1:l1$1,l2:l2$1}),Callback=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t.model=null,t}return __extends(t,e),t.prototype.setModel=function(e){if(!(e instanceof Model))throw new Error(\"model must be a Model, not some other Container\");this.model=e},t}(BaseCallback);export{exports_constraints as constraints,exports_initializers as initializers,exports_layers as layers,exports_models as models,exports_metrics as metrics,exports_regularizers as regularizers,CallbackList,CustomCallback,History,Callback,InputSpec,SymbolicTensor,Model,input,loadModel,model,registerCallbackConstructor,sequential,RNN,Sequential,LayerVariable,version as version_layers};\n//# sourceMappingURL=tf-layers.esm.js.map\n","// @tensorflow/tfjs Copyright 2018 Google\nimport{version_core}from\"@tensorflow/tfjs-core\";export*from\"@tensorflow/tfjs-core\";import{version_layers}from\"@tensorflow/tfjs-layers\";export*from\"@tensorflow/tfjs-layers\";import{version_converter}from\"@tensorflow/tfjs-converter\";export*from\"@tensorflow/tfjs-converter\";var version=\"0.13.5\",version$1={\"tfjs-core\":version_core,\"tfjs-layers\":version_layers,\"tfjs-converter\":version_converter,tfjs:version};export{version$1 as version};\n//# sourceMappingURL=tf.esm.js.map\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar ctx = require('./_ctx');\nvar forOf = require('./_for-of');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { from: function from(source /* , mapFn, thisArg */) {\n    var mapFn = arguments[1];\n    var mapping, A, n, cb;\n    aFunction(this);\n    mapping = mapFn !== undefined;\n    if (mapping) aFunction(mapFn);\n    if (source == undefined) return new this();\n    A = [];\n    if (mapping) {\n      n = 0;\n      cb = ctx(mapFn, arguments[2], 2);\n      forOf(source, false, function (nextItem) {\n        A.push(cb(nextItem, n++));\n      });\n    } else {\n      forOf(source, false, A.push, A);\n    }\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.from\nrequire('./_set-collection-from')('Set');\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { of: function of() {\n    var length = arguments.length;\n    var A = new Array(length);\n    while (length--) A[length] = arguments[length];\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.of\nrequire('./_set-collection-of')('Set');\n","var forOf = require('./_for-of');\n\nmodule.exports = function (iter, ITERATOR) {\n  var result = [];\n  forOf(iter, false, result.push, result, ITERATOR);\n  return result;\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar classof = require('./_classof');\nvar from = require('./_array-from-iterable');\nmodule.exports = function (NAME) {\n  return function toJSON() {\n    if (classof(this) != NAME) throw TypeError(NAME + \"#toJSON isn't generic\");\n    return from(this);\n  };\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Set', { toJSON: require('./_collection-to-json')('Set') });\n","var isObject = require('./_is-object');\nvar isArray = require('./_is-array');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (original) {\n  var C;\n  if (isArray(original)) {\n    C = original.constructor;\n    // cross-realm fallback\n    if (typeof C == 'function' && (C === Array || isArray(C.prototype))) C = undefined;\n    if (isObject(C)) {\n      C = C[SPECIES];\n      if (C === null) C = undefined;\n    }\n  } return C === undefined ? Array : C;\n};\n","// 9.4.2.3 ArraySpeciesCreate(originalArray, length)\nvar speciesConstructor = require('./_array-species-constructor');\n\nmodule.exports = function (original, length) {\n  return new (speciesConstructor(original))(length);\n};\n","// 0 -> Array#forEach\n// 1 -> Array#map\n// 2 -> Array#filter\n// 3 -> Array#some\n// 4 -> Array#every\n// 5 -> Array#find\n// 6 -> Array#findIndex\nvar ctx = require('./_ctx');\nvar IObject = require('./_iobject');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar asc = require('./_array-species-create');\nmodule.exports = function (TYPE, $create) {\n  var IS_MAP = TYPE == 1;\n  var IS_FILTER = TYPE == 2;\n  var IS_SOME = TYPE == 3;\n  var IS_EVERY = TYPE == 4;\n  var IS_FIND_INDEX = TYPE == 6;\n  var NO_HOLES = TYPE == 5 || IS_FIND_INDEX;\n  var create = $create || asc;\n  return function ($this, callbackfn, that) {\n    var O = toObject($this);\n    var self = IObject(O);\n    var f = ctx(callbackfn, that, 3);\n    var length = toLength(self.length);\n    var index = 0;\n    var result = IS_MAP ? create($this, length) : IS_FILTER ? create($this, 0) : undefined;\n    var val, res;\n    for (;length > index; index++) if (NO_HOLES || index in self) {\n      val = self[index];\n      res = f(val, index, O);\n      if (TYPE) {\n        if (IS_MAP) result[index] = res;   // map\n        else if (res) switch (TYPE) {\n          case 3: return true;             // some\n          case 5: return val;              // find\n          case 6: return index;            // findIndex\n          case 2: result.push(val);        // filter\n        } else if (IS_EVERY) return false; // every\n      }\n    }\n    return IS_FIND_INDEX ? -1 : IS_SOME || IS_EVERY ? IS_EVERY : result;\n  };\n};\n","'use strict';\nvar global = require('./_global');\nvar $export = require('./_export');\nvar meta = require('./_meta');\nvar fails = require('./_fails');\nvar hide = require('./_hide');\nvar redefineAll = require('./_redefine-all');\nvar forOf = require('./_for-of');\nvar anInstance = require('./_an-instance');\nvar isObject = require('./_is-object');\nvar setToStringTag = require('./_set-to-string-tag');\nvar dP = require('./_object-dp').f;\nvar each = require('./_array-methods')(0);\nvar DESCRIPTORS = require('./_descriptors');\n\nmodule.exports = function (NAME, wrapper, methods, common, IS_MAP, IS_WEAK) {\n  var Base = global[NAME];\n  var C = Base;\n  var ADDER = IS_MAP ? 'set' : 'add';\n  var proto = C && C.prototype;\n  var O = {};\n  if (!DESCRIPTORS || typeof C != 'function' || !(IS_WEAK || proto.forEach && !fails(function () {\n    new C().entries().next();\n  }))) {\n    // create collection constructor\n    C = common.getConstructor(wrapper, NAME, IS_MAP, ADDER);\n    redefineAll(C.prototype, methods);\n    meta.NEED = true;\n  } else {\n    C = wrapper(function (target, iterable) {\n      anInstance(target, C, NAME, '_c');\n      target._c = new Base();\n      if (iterable != undefined) forOf(iterable, IS_MAP, target[ADDER], target);\n    });\n    each('add,clear,delete,forEach,get,has,set,keys,values,entries,toJSON'.split(','), function (KEY) {\n      var IS_ADDER = KEY == 'add' || KEY == 'set';\n      if (KEY in proto && !(IS_WEAK && KEY == 'clear')) hide(C.prototype, KEY, function (a, b) {\n        anInstance(this, C, KEY);\n        if (!IS_ADDER && IS_WEAK && !isObject(a)) return KEY == 'get' ? undefined : false;\n        var result = this._c[KEY](a === 0 ? 0 : a, b);\n        return IS_ADDER ? this : result;\n      });\n    });\n    IS_WEAK || dP(C.prototype, 'size', {\n      get: function () {\n        return this._c.size;\n      }\n    });\n  }\n\n  setToStringTag(C, NAME);\n\n  O[NAME] = C;\n  $export($export.G + $export.W + $export.F, O);\n\n  if (!IS_WEAK) common.setStrong(C, NAME, IS_MAP);\n\n  return C;\n};\n","'use strict';\nvar dP = require('./_object-dp').f;\nvar create = require('./_object-create');\nvar redefineAll = require('./_redefine-all');\nvar ctx = require('./_ctx');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar $iterDefine = require('./_iter-define');\nvar step = require('./_iter-step');\nvar setSpecies = require('./_set-species');\nvar DESCRIPTORS = require('./_descriptors');\nvar fastKey = require('./_meta').fastKey;\nvar validate = require('./_validate-collection');\nvar SIZE = DESCRIPTORS ? '_s' : 'size';\n\nvar getEntry = function (that, key) {\n  // fast case\n  var index = fastKey(key);\n  var entry;\n  if (index !== 'F') return that._i[index];\n  // frozen object case\n  for (entry = that._f; entry; entry = entry.n) {\n    if (entry.k == key) return entry;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;         // collection type\n      that._i = create(null); // index\n      that._f = undefined;    // first entry\n      that._l = undefined;    // last entry\n      that[SIZE] = 0;         // size\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.1.3.1 Map.prototype.clear()\n      // 23.2.3.2 Set.prototype.clear()\n      clear: function clear() {\n        for (var that = validate(this, NAME), data = that._i, entry = that._f; entry; entry = entry.n) {\n          entry.r = true;\n          if (entry.p) entry.p = entry.p.n = undefined;\n          delete data[entry.i];\n        }\n        that._f = that._l = undefined;\n        that[SIZE] = 0;\n      },\n      // 23.1.3.3 Map.prototype.delete(key)\n      // 23.2.3.4 Set.prototype.delete(value)\n      'delete': function (key) {\n        var that = validate(this, NAME);\n        var entry = getEntry(that, key);\n        if (entry) {\n          var next = entry.n;\n          var prev = entry.p;\n          delete that._i[entry.i];\n          entry.r = true;\n          if (prev) prev.n = next;\n          if (next) next.p = prev;\n          if (that._f == entry) that._f = next;\n          if (that._l == entry) that._l = prev;\n          that[SIZE]--;\n        } return !!entry;\n      },\n      // 23.2.3.6 Set.prototype.forEach(callbackfn, thisArg = undefined)\n      // 23.1.3.5 Map.prototype.forEach(callbackfn, thisArg = undefined)\n      forEach: function forEach(callbackfn /* , that = undefined */) {\n        validate(this, NAME);\n        var f = ctx(callbackfn, arguments.length > 1 ? arguments[1] : undefined, 3);\n        var entry;\n        while (entry = entry ? entry.n : this._f) {\n          f(entry.v, entry.k, this);\n          // revert to the last existing entry\n          while (entry && entry.r) entry = entry.p;\n        }\n      },\n      // 23.1.3.7 Map.prototype.has(key)\n      // 23.2.3.7 Set.prototype.has(value)\n      has: function has(key) {\n        return !!getEntry(validate(this, NAME), key);\n      }\n    });\n    if (DESCRIPTORS) dP(C.prototype, 'size', {\n      get: function () {\n        return validate(this, NAME)[SIZE];\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var entry = getEntry(that, key);\n    var prev, index;\n    // change existing entry\n    if (entry) {\n      entry.v = value;\n    // create new entry\n    } else {\n      that._l = entry = {\n        i: index = fastKey(key, true), // <- index\n        k: key,                        // <- key\n        v: value,                      // <- value\n        p: prev = that._l,             // <- previous entry\n        n: undefined,                  // <- next entry\n        r: false                       // <- removed\n      };\n      if (!that._f) that._f = entry;\n      if (prev) prev.n = entry;\n      that[SIZE]++;\n      // add to index\n      if (index !== 'F') that._i[index] = entry;\n    } return that;\n  },\n  getEntry: getEntry,\n  setStrong: function (C, NAME, IS_MAP) {\n    // add .keys, .values, .entries, [@@iterator]\n    // 23.1.3.4, 23.1.3.8, 23.1.3.11, 23.1.3.12, 23.2.3.5, 23.2.3.8, 23.2.3.10, 23.2.3.11\n    $iterDefine(C, NAME, function (iterated, kind) {\n      this._t = validate(iterated, NAME); // target\n      this._k = kind;                     // kind\n      this._l = undefined;                // previous\n    }, function () {\n      var that = this;\n      var kind = that._k;\n      var entry = that._l;\n      // revert to the last existing entry\n      while (entry && entry.r) entry = entry.p;\n      // get next entry\n      if (!that._t || !(that._l = entry = entry ? entry.n : that._t._f)) {\n        // or finish the iteration\n        that._t = undefined;\n        return step(1);\n      }\n      // return step by kind\n      if (kind == 'keys') return step(0, entry.k);\n      if (kind == 'values') return step(0, entry.v);\n      return step(0, [entry.k, entry.v]);\n    }, IS_MAP ? 'entries' : 'values', !IS_MAP, true);\n\n    // add [@@species], 23.1.2.2, 23.2.2.2\n    setSpecies(NAME);\n  }\n};\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar SET = 'Set';\n\n// 23.2 Set Objects\nmodule.exports = require('./_collection')(SET, function (get) {\n  return function Set() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.2.3.1 Set.prototype.add(value)\n  add: function add(value) {\n    return strong.def(validate(this, SET), value = value === 0 ? 0 : value, value);\n  }\n}, strong);\n","require('../modules/es6.object.to-string');\nrequire('../modules/es6.string.iterator');\nrequire('../modules/web.dom.iterable');\nrequire('../modules/es6.set');\nrequire('../modules/es7.set.to-json');\nrequire('../modules/es7.set.of');\nrequire('../modules/es7.set.from');\nmodule.exports = require('../modules/_core').Set;\n","module.exports = { \"default\": require(\"core-js/library/fn/set\"), __esModule: true };","const models = [\n  'alarm_clock',\n  'ambulance',\n  'angel',\n  'ant',\n  'antyoga',\n  'backpack',\n  'barn',\n  'basket',\n  'bear',\n  'bee',\n  'beeflower',\n  'bicycle',\n  'bird',\n  'book',\n  'brain',\n  'bridge',\n  'bulldozer',\n  'bus',\n  'butterfly',\n  'cactus',\n  'calendar',\n  'castle',\n  'cat',\n  'catbus',\n  'catpig',\n  'chair',\n  'couch',\n  'crab',\n  'crabchair',\n  'crabrabbitfacepig',\n  'cruise_ship',\n  'diving_board',\n  'dog',\n  'dogbunny',\n  'dolphin',\n  'duck',\n  'elephant',\n  'elephantpig',\n  'eye',\n  'face',\n  'fan',\n  'fire_hydrant',\n  'firetruck',\n  'flamingo',\n  'flower',\n  'floweryoga',\n  'frog',\n  'frogsofa',\n  'garden',\n  'hand',\n  'hedgeberry',\n  'hedgehog',\n  'helicopter',\n  'kangaroo',\n  'key',\n  'lantern',\n  'lighthouse',\n  'lion',\n  'lionsheep',\n  'lobster',\n  'map',\n  'mermaid',\n  'monapassport',\n  'monkey',\n  'mosquito',\n  'octopus',\n  'owl',\n  'paintbrush',\n  'palm_tree',\n  'parrot',\n  'passport',\n  'peas',\n  'penguin',\n  'pig',\n  'pigsheep',\n  'pineapple',\n  'pool',\n  'postcard',\n  'power_outlet',\n  'rabbit',\n  'rabbitturtle',\n  'radio',\n  'radioface',\n  'rain',\n  'rhinoceros',\n  'rifle',\n  'roller_coaster',\n  'sandwich',\n  'scorpion',\n  'sea_turtle',\n  'sheep',\n  'skull',\n  'snail',\n  'snowflake',\n  'speedboat',\n  'spider',\n  'squirrel',\n  'steak',\n  'stove',\n  'strawberry',\n  'swan',\n  'swing_set',\n  'the_mona_lisa',\n  'tiger',\n  'toothbrush',\n  'toothpaste',\n  'tractor',\n  'trombone',\n  'truck',\n  'whale',\n  'windmill',\n  'yoga',\n  'yogabicycle',\n  'everything',\n];\n\nconst modelPaths = new Set(models);\n\nexport default modelPaths;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nfunction stringToUint8array(b64encoded) {\n    var u8 = new Uint8Array(atob(b64encoded)\n        .split(\"\")\n        .map(function (c) {\n        return c.charCodeAt(0);\n    }));\n    return u8;\n}\nexports.stringToUint8array = stringToUint8array;\nfunction stringToArray(b64encoded) {\n    var u = stringToUint8array(b64encoded);\n    var result = new Int16Array(u.buffer);\n    return result;\n}\nexports.stringToArray = stringToArray;\nvar returnV = false;\nvar vVal = 0.0;\nfunction gaussRandom() {\n    if (returnV) {\n        returnV = false;\n        return vVal;\n    }\n    var u = 2 * Math.random() - 1;\n    var v = 2 * Math.random() - 1;\n    var r = u * u + v * v;\n    if (r === 0 || r > 1) {\n        return gaussRandom();\n    }\n    var c = Math.sqrt(-2 * Math.log(r) / r);\n    vVal = v * c;\n    returnV = true;\n    return u * c;\n}\nexports.gaussRandom = gaussRandom;\nfunction randf(a, b) {\n    return Math.random() * (b - a) + a;\n}\nexports.randf = randf;\nfunction randi(a, b) {\n    return Math.floor(Math.random() * (b - a) + a);\n}\nexports.randi = randi;\nfunction randn(mu, std) {\n    return mu + gaussRandom() * std;\n}\nexports.randn = randn;\nfunction birandn(mu1, mu2, std1, std2, rho) {\n    var z1 = randn(0, 1);\n    var z2 = randn(0, 1);\n    var x = Math.sqrt(1 - rho * rho) * std1 * z1 + rho * std1 * z2 + mu1;\n    var y = std2 * z2 + mu2;\n    return [x, y];\n}\nexports.birandn = birandn;\nfunction sampleSoftmax(zSample) {\n    var x = randf(0, 1);\n    var N = zSample.length;\n    var accumulate = 0;\n    var i;\n    for (i = 0; i < N; i++) {\n        accumulate += zSample[i];\n        if (accumulate >= x) {\n            return i;\n        }\n    }\n    console.log('error sampling pi index');\n    return -1;\n}\nexports.sampleSoftmax = sampleSoftmax;\nfunction simplifyLine(V, tolerance) {\n    if (tolerance === void 0) { tolerance = 2.0; }\n    var tol = tolerance;\n    function diff(u, v) {\n        return [u[0] - v[0], u[1] - v[1]];\n    }\n    function dot(u, v) {\n        return u[0] * v[0] + u[1] * v[1];\n    }\n    function norm2(v) {\n        return v[0] * v[0] + v[1] * v[1];\n    }\n    function d2(u, v) { return norm2(diff(u, v)); }\n    function simplifyDP(tol, v, j, k, mk) {\n        if (k <= j + 1) {\n            return;\n        }\n        var maxi = j;\n        var maxd2 = 0;\n        var tol2 = tol * tol;\n        var S = [v[j], v[k]];\n        var u = diff(S[1], S[0]);\n        var cu = norm2(u);\n        var w;\n        var pb;\n        var b, cw, dv2;\n        for (var i_1 = j + 1; i_1 < k; i_1++) {\n            w = diff(v[i_1], S[0]);\n            cw = dot(w, u);\n            if (cw <= 0) {\n                dv2 = d2(v[i_1], S[0]);\n            }\n            else if (cu <= cw) {\n                dv2 = d2(v[i_1], S[1]);\n            }\n            else {\n                b = cw / cu;\n                pb = [S[0][0] + b * u[0], S[0][1] + b * u[1]];\n                dv2 = d2(v[i_1], pb);\n            }\n            if (dv2 <= maxd2) {\n                continue;\n            }\n            maxi = i_1;\n            maxd2 = dv2;\n        }\n        if (maxd2 > tol2) {\n            mk[maxi] = 1;\n            simplifyDP(tol, v, j, maxi, mk);\n            simplifyDP(tol, v, maxi, k, mk);\n        }\n        return;\n    }\n    var n = V.length;\n    var sV = [];\n    var i, k, m, pv;\n    var tol2 = tol * tol;\n    var vt = [];\n    var mk = [];\n    vt[0] = V[0];\n    for (i = k = 1, pv = 0; i < n; i++) {\n        if (d2(V[i], V[pv]) < tol2) {\n            continue;\n        }\n        vt[k++] = V[i];\n        pv = i;\n    }\n    if (pv < n - 1) {\n        vt[k++] = V[n - 1];\n    }\n    mk[0] = mk[k - 1] = 1;\n    simplifyDP(tol, vt, 0, k - 1, mk);\n    for (i = m = 0; i < k; i++) {\n        if (mk[i]) {\n            sV[m++] = vt[i];\n        }\n    }\n    return sV;\n}\nexports.simplifyLine = simplifyLine;\nfunction simplifyLines(lines, tolerance) {\n    var result = [];\n    var tol = 2.0;\n    if (tolerance) {\n        tol = tolerance;\n    }\n    for (var i = 0; i < lines.length; i++) {\n        result.push(simplifyLine(lines[i], tol));\n    }\n    return result;\n}\nexports.simplifyLines = simplifyLines;\nfunction linesToStrokes(rawData) {\n    var x, y;\n    var px = 0, py = 0;\n    var dx, dy;\n    var pon, poff;\n    var stroke = [];\n    var i, j;\n    var len;\n    var p;\n    for (i = 0; i < rawData.length; i++) {\n        len = rawData[i].length;\n        if (len > 1) {\n            for (j = 0; j < len; j++) {\n                p = rawData[i][j];\n                x = p[0];\n                y = p[1];\n                if (j === len - 1) {\n                    poff = 1;\n                    pon = 0;\n                }\n                else {\n                    poff = 0;\n                    pon = 1;\n                }\n                dx = x - px;\n                dy = y - py;\n                px = x;\n                py = y;\n                stroke.push([dx, dy, pon, poff, 0]);\n            }\n        }\n    }\n    stroke.push([0, 0, 0, 0, 1]);\n    return stroke.slice(1);\n}\nexports.linesToStrokes = linesToStrokes;\nfunction lineToStroke(line, lastPoint) {\n    var pon, poff;\n    var stroke = [];\n    var len;\n    var p;\n    var dx, dy;\n    var x, y;\n    var px, py;\n    var j;\n    px = lastPoint[0];\n    py = lastPoint[1];\n    len = line.length;\n    if (len > 1) {\n        for (j = 0; j < len; j++) {\n            p = line[j];\n            x = p[0];\n            y = p[1];\n            if (j === len - 1) {\n                poff = 1;\n                pon = 0;\n            }\n            else {\n                poff = 0;\n                pon = 1;\n            }\n            dx = x - px;\n            dy = y - py;\n            px = x;\n            py = y;\n            stroke.push([dx, dy, pon, poff, 0]);\n        }\n    }\n    return stroke;\n}\nexports.lineToStroke = lineToStroke;\n//# sourceMappingURL=sketch_support.js.map","\"use strict\";\nvar __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {\n    return new (P || (P = Promise))(function (resolve, reject) {\n        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\n        function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\n        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }\n        step((generator = generator.apply(thisArg, _arguments || [])).next());\n    });\n};\nvar __generator = (this && this.__generator) || function (thisArg, body) {\n    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;\n    return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\n    function verb(n) { return function (v) { return step([n, v]); }; }\n    function step(op) {\n        if (f) throw new TypeError(\"Generator is already executing.\");\n        while (_) try {\n            if (f = 1, y && (t = op[0] & 2 ? y[\"return\"] : op[0] ? y[\"throw\"] || ((t = y[\"return\"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;\n            if (y = 0, t) op = [op[0] & 2, t.value];\n            switch (op[0]) {\n                case 0: case 1: t = op; break;\n                case 4: _.label++; return { value: op[1], done: false };\n                case 5: _.label++; y = op[1]; op = [0]; continue;\n                case 7: op = _.ops.pop(); _.trys.pop(); continue;\n                default:\n                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\n                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\n                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\n                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\n                    if (t[2]) _.ops.pop();\n                    _.trys.pop(); continue;\n            }\n            op = body.call(thisArg, _);\n        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\n        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\n    }\n};\nObject.defineProperty(exports, \"__esModule\", { value: true });\nvar tf = require(\"@tensorflow/tfjs-core\");\nvar support = require(\"../core/sketch_support\");\nvar SketchRNN = (function () {\n    function SketchRNN(checkpointURL) {\n        this.NMIXTURE = 20;\n        this.checkpointURL = checkpointURL;\n        this.initialized = false;\n    }\n    SketchRNN.prototype.isInitialized = function () {\n        return this.initialized;\n    };\n    SketchRNN.prototype.instantiateFromJSON = function (info, weightDims, weightStrings) {\n        this.forgetBias = tf.scalar(1.0);\n        this.info = info;\n        this.setPixelFactor(2.0);\n        this.weightDims = weightDims;\n        this.numUnits = this.weightDims[0][0];\n        var rawWeights;\n        var maxWeight = 10.0;\n        this.weights = [];\n        for (var i = 0; i < weightStrings.length; i++) {\n            rawWeights = new Float32Array(support.stringToArray(weightStrings[i]));\n            var N = rawWeights.length;\n            for (var j = 0; j < N; j++) {\n                rawWeights[j] = maxWeight * rawWeights[j] / 32767;\n            }\n            this.weights.push(rawWeights);\n        }\n        this.outputKernel = tf.tensor2d(this.weights[0], [this.weightDims[0][0], this.weightDims[0][1]]);\n        this.outputBias = tf.tensor1d(this.weights[1]);\n        var lstmKernelXH = tf.tensor2d(this.weights[2], [this.weightDims[2][0], this.weightDims[2][1]]);\n        var lstmKernelHH = tf.tensor2d(this.weights[3], [this.weightDims[3][0], this.weightDims[3][1]]);\n        var axis = 0;\n        this.lstmKernel = tf.concat2d([lstmKernelXH, lstmKernelHH], axis);\n        this.lstmBias = tf.tensor1d(this.weights[4]);\n        this.rawVars = [\n            this.outputKernel,\n            this.outputBias,\n            this.lstmKernel,\n            this.lstmBias\n        ];\n    };\n    SketchRNN.prototype.initialize = function () {\n        return __awaiter(this, void 0, void 0, function () {\n            var vars;\n            return __generator(this, function (_a) {\n                switch (_a.label) {\n                    case 0:\n                        this.dispose();\n                        return [4, fetch(this.checkpointURL)\n                                .then(function (response) { return response.json(); })];\n                    case 1:\n                        vars = _a.sent();\n                        this.instantiateFromJSON(vars[0], vars[1], vars[2]);\n                        this.initialized = true;\n                        console.log('Initialized SketchRNN.');\n                        return [2];\n                }\n            });\n        });\n    };\n    SketchRNN.prototype.dispose = function () {\n        if (this.rawVars) {\n            for (var i = 0; i < this.rawVars.length; i++) {\n                this.rawVars[i].dispose();\n            }\n            this.rawVars = undefined;\n        }\n        if (this.forgetBias) {\n            this.forgetBias.dispose();\n            this.forgetBias = undefined;\n        }\n        this.initialized = false;\n    };\n    SketchRNN.prototype.setPixelFactor = function (scale) {\n        this.pixelFactor = scale;\n        this.scaleFactor = this.info.scale_factor / this.pixelFactor;\n    };\n    SketchRNN.prototype.update = function (stroke, state) {\n        var _this = this;\n        var out = tf.tidy(function () {\n            var numUnits = _this.numUnits;\n            var s = _this.scaleFactor;\n            var normStroke = [stroke[0] / s, stroke[1] / s, stroke[2], stroke[3], stroke[4]];\n            var x = tf.tensor2d(normStroke, [1, 5]);\n            var c = tf.tensor2d(state.c, [1, numUnits]);\n            var h = tf.tensor2d(state.h, [1, numUnits]);\n            var newState = tf.basicLSTMCell(_this.forgetBias, _this.lstmKernel, _this.lstmBias, x, c, h);\n            return tf.concat(newState, 1);\n        });\n        var newCH = out.dataSync();\n        out.dispose();\n        var newC = newCH.slice(0, this.numUnits);\n        var newH = newCH.slice(this.numUnits, this.numUnits * 2);\n        var finalState = {\n            c: new Float32Array(newC),\n            h: new Float32Array(newH)\n        };\n        return finalState;\n    };\n    SketchRNN.prototype.updateStrokes = function (strokes, state, steps) {\n        var _this = this;\n        var out = tf.tidy(function () {\n            var numUnits = _this.numUnits;\n            var s = _this.scaleFactor;\n            var normStroke;\n            var x;\n            var c;\n            var h;\n            var newState;\n            var numSteps = strokes.length;\n            if (steps) {\n                numSteps = steps;\n            }\n            c = tf.tensor2d(state.c, [1, numUnits]);\n            h = tf.tensor2d(state.h, [1, numUnits]);\n            for (var i = 0; i < numSteps; i++) {\n                normStroke = [strokes[i][0] / s,\n                    strokes[i][1] / s,\n                    strokes[i][2],\n                    strokes[i][3],\n                    strokes[i][4]];\n                x = tf.tensor2d(normStroke, [1, 5]);\n                newState = tf.basicLSTMCell(_this.forgetBias, _this.lstmKernel, _this.lstmBias, x, c, h);\n                c = newState[0];\n                h = newState[1];\n            }\n            return tf.concat(newState, 1);\n        });\n        var newCH = out.dataSync();\n        out.dispose();\n        var newC = newCH.slice(0, this.numUnits);\n        var newH = newCH.slice(this.numUnits, this.numUnits * 2);\n        var finalState = {\n            c: new Float32Array(newC),\n            h: new Float32Array(newH)\n        };\n        return finalState;\n    };\n    SketchRNN.prototype.getPDF = function (state, temperature, softmaxTemperature) {\n        var _this = this;\n        if (temperature === void 0) { temperature = 0.65; }\n        var temp = temperature;\n        var discreteTemp = 0.5 + temp * 0.5;\n        if (softmaxTemperature) {\n            discreteTemp = softmaxTemperature;\n        }\n        var NOUT = this.NMIXTURE;\n        var out = tf.tidy(function () {\n            var numUnits = _this.numUnits;\n            var h = tf.tensor2d(state.h, [1, numUnits]);\n            var sqrttemp = tf.scalar(Math.sqrt(temp));\n            var softtemp = tf.scalar(discreteTemp);\n            var z = tf.add(tf.matMul(h, _this.outputKernel), _this.outputBias)\n                .squeeze();\n            var _a = tf.split(z, [3, NOUT * 6]), rawPen = _a[0], rst = _a[1];\n            var _b = tf.split(rst, 6), rawPi = _b[0], mu1 = _b[1], mu2 = _b[2], rawSigma1 = _b[3], rawSigma2 = _b[4], rawCorr = _b[5];\n            var pen = tf.softmax(rawPen.div(softtemp));\n            var pi = tf.softmax(rawPi.div(softtemp));\n            var sigma1 = tf.exp(rawSigma1).mul(sqrttemp);\n            var sigma2 = tf.exp(rawSigma2).mul(sqrttemp);\n            var corr = tf.tanh(rawCorr);\n            var result = [pi, mu1, mu2, sigma1, sigma2, corr, pen];\n            return tf.concat(result);\n        });\n        var result = out.dataSync();\n        out.dispose();\n        var pdf = {\n            pi: new Float32Array(result.slice(0, NOUT)),\n            muX: new Float32Array(result.slice(1 * NOUT, 2 * NOUT)),\n            muY: new Float32Array(result.slice(2 * NOUT, 3 * NOUT)),\n            sigmaX: new Float32Array(result.slice(3 * NOUT, 4 * NOUT)),\n            sigmaY: new Float32Array(result.slice(4 * NOUT, 15 * NOUT)),\n            corr: new Float32Array(result.slice(5 * NOUT, 6 * NOUT)),\n            pen: new Float32Array(result.slice(6 * NOUT, 6 * NOUT + 3))\n        };\n        return pdf;\n    };\n    SketchRNN.prototype.zeroState = function () {\n        var result = {\n            c: new Float32Array(this.numUnits),\n            h: new Float32Array(this.numUnits)\n        };\n        return result;\n    };\n    SketchRNN.prototype.copyState = function (rnnState) {\n        var result = {\n            c: new Float32Array(rnnState.c),\n            h: new Float32Array(rnnState.h)\n        };\n        return result;\n    };\n    SketchRNN.prototype.zeroInput = function () {\n        return [0, 0, 1, 0, 0];\n    };\n    SketchRNN.prototype.sample = function (pdf) {\n        var idx = support.sampleSoftmax(pdf.pi);\n        var mu1 = pdf.muX[idx];\n        var mu2 = pdf.muY[idx];\n        var sigma1 = pdf.sigmaX[idx];\n        var sigma2 = pdf.sigmaY[idx];\n        var corr = pdf.corr[idx];\n        var penIdx = support.sampleSoftmax(pdf.pen);\n        var penstate = [0, 0, 0];\n        penstate[penIdx] = 1;\n        var delta = support.birandn(mu1, mu2, sigma1, sigma2, corr);\n        var stroke = [\n            delta[0] * this.scaleFactor,\n            delta[1] * this.scaleFactor,\n            penstate[0],\n            penstate[1],\n            penstate[2]\n        ];\n        return stroke;\n    };\n    SketchRNN.prototype.simplifyLine = function (line, tolerance) {\n        return support.simplifyLine(line, tolerance);\n    };\n    SketchRNN.prototype.simplifyLines = function (lines, tolerance) {\n        return support.simplifyLines(lines, tolerance);\n    };\n    SketchRNN.prototype.linesToStroke = function (lines) {\n        return support.linesToStrokes(lines);\n    };\n    SketchRNN.prototype.lineToStroke = function (line, lastPoint) {\n        return support.lineToStroke(line, lastPoint);\n    };\n    return SketchRNN;\n}());\nexports.SketchRNN = SketchRNN;\n//# sourceMappingURL=model.js.map","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nvar model_1 = require(\"./model\");\nexports.SketchRNN = model_1.SketchRNN;\n//# sourceMappingURL=index.js.map","\"use strict\";\nfunction __export(m) {\n    for (var p in m) if (!exports.hasOwnProperty(p)) exports[p] = m[p];\n}\nObject.defineProperty(exports, \"__esModule\", { value: true });\nvar tf = require(\"@tensorflow/tfjs\");\nexports.tf = tf;\n__export(require(\"./sketch_rnn/index\"));\n//# sourceMappingURL=index.js.map","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint prefer-destructuring: ['error', {AssignmentExpression: {array: false}}] */\n/* eslint no-await-in-loop: 'off' */\n/*\nSketchRNN\n*/\n\nimport * as ms from '@magenta/sketch';\nimport callCallback from '../utils/callcallback';\nimport modelPaths from './models';\n\nconst PATH_START_LARGE = 'https://storage.googleapis.com/quickdraw-models/sketchRNN/large_models/';\nconst PATH_START_SMALL = 'https://storage.googleapis.com/quickdraw-models/sketchRNN/models/';\nconst PATH_END = '.gen.json';\n\nclass SketchRNN {\n  constructor(model, callback, large = true) {\n    let checkpointUrl = model;\n    if (modelPaths.has(checkpointUrl)) {\n      checkpointUrl = (large ? PATH_START_LARGE : PATH_START_SMALL) + checkpointUrl + PATH_END;\n    }\n    this.defaults = {\n      temperature: 0.65,\n      pixelFactor: 3.0,\n    };\n    this.model = new ms.SketchRNN(checkpointUrl);\n    this.penState = this.model.zeroInput();\n    this.ready = callCallback(this.model.initialize(), callback);\n  }\n\n  async generateInternal(options, strokes) {\n    const temperature = +options.temperature || this.defaults.temperature;\n    const pixelFactor = +options.pixelFactor || this.defaults.pixelFactor;\n\n    await this.ready;\n    if (!this.rnnState) {\n      this.rnnState = this.model.zeroState();\n      this.model.setPixelFactor(pixelFactor);\n    }\n\n    if (Array.isArray(strokes) && strokes.length) {\n      this.rnnState = this.model.updateStrokes(strokes, this.rnnState);\n    }\n    this.rnnState = this.model.update(this.penState, this.rnnState);\n    const pdf = this.model.getPDF(this.rnnState, temperature);\n    this.penState = this.model.sample(pdf);\n    const result = {\n      dx: this.penState[0],\n      dy: this.penState[1],\n    };\n    if (this.penState[2] === 1) {\n      result.pen = 'down';\n    } else if (this.penState[3] === 1) {\n      result.pen = 'up';\n    } else if (this.penState[4] === 1) {\n      result.pen = 'end';\n    }\n    return result;\n  }\n\n  async generate(optionsOrSeedOrCallback, seedOrCallback, cb) {\n    let callback;\n    let options;\n    let seedStrokes;\n\n    if (typeof optionsOrSeedOrCallback === 'function') {\n      options = {};\n      seedStrokes = [];\n      callback = optionsOrSeedOrCallback;\n    } else if (Array.isArray(optionsOrSeedOrCallback)) {\n      options = {};\n      seedStrokes = optionsOrSeedOrCallback;\n      callback = seedOrCallback;\n    } else if (typeof seedOrCallback === 'function') {\n      options = optionsOrSeedOrCallback || {};\n      seedStrokes = [];\n      callback = seedOrCallback;\n    } else {\n      options = optionsOrSeedOrCallback || {};\n      seedStrokes = seedOrCallback || [];\n      callback = cb;\n    }\n\n    const strokes = seedStrokes.map((s) => {\n      const up = s.pen === 'up' ? 1 : 0;\n      const down = s.pen === 'down' ? 1 : 0;\n      const end = s.pen === 'end' ? 1 : 0;\n      return [s.dx, s.dy, down, up, end];\n    });\n    return callCallback(this.generateInternal(options, strokes), callback);\n  }\n\n  reset() {\n    this.penState = this.model.zeroInput();\n    if (this.rnnState) {\n      this.rnnState = this.model.zeroState();\n    }\n  }\n}\n\nconst SketchRNNGenerator = (model, callback, large = true) => new SketchRNN(model, callback, large);\n\nexport default SketchRNNGenerator;\n","/* eslint max-len: \"off\" */\n\nimport * as tf from '@tensorflow/tfjs';\n\nexport default class CheckpointLoaderPix2pix {\n  constructor(urlPath) {\n    this.urlPath = urlPath;\n  }\n\n  getAllVariables() {\n    return new Promise((resolve, reject) => {\n      const weightsCache = {};\n      if (this.urlPath in weightsCache) {\n        resolve(weightsCache[this.urlPath]);\n        return;\n      }\n\n      const xhr = new XMLHttpRequest();\n      xhr.open('GET', this.urlPath, true);\n      xhr.responseType = 'arraybuffer';\n      xhr.onload = () => {\n        if (xhr.status !== 200) {\n          reject(new Error('missing model'));\n          return;\n        }\n        const buf = xhr.response;\n        if (!buf) {\n          reject(new Error('invalid arraybuffer'));\n          return;\n        }\n\n        const parts = [];\n        let offset = 0;\n        while (offset < buf.byteLength) {\n          const b = new Uint8Array(buf.slice(offset, offset + 4));\n          offset += 4;\n          const len = (b[0] << 24) + (b[1] << 16) + (b[2] << 8) + b[3]; // eslint-disable-line no-bitwise\n          parts.push(buf.slice(offset, offset + len));\n          offset += len;\n        }\n\n        const shapes = JSON.parse((new TextDecoder('utf8')).decode(parts[0]));\n        const index = new Float32Array(parts[1]);\n        const encoded = new Uint8Array(parts[2]);\n\n        // decode using index\n        const arr = new Float32Array(encoded.length);\n        for (let i = 0; i < arr.length; i += 1) {\n          arr[i] = index[encoded[i]];\n        }\n\n        const weights = {};\n        offset = 0;\n        for (let i = 0; i < shapes.length; i += 1) {\n          const { shape } = shapes[i];\n          const size = shape.reduce((total, num) => total * num);\n          const values = arr.slice(offset, offset + size);\n          const tfarr = tf.tensor1d(values, 'float32');\n          weights[shapes[i].name] = tfarr.reshape(shape);\n          offset += size;\n        }\n        weightsCache[this.urlPath] = weights;\n        resolve(weights);\n      };\n      xhr.send(null);\n    });\n  }\n}\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint max-len: \"off\" */\n/*\nPix2pix\nThe original pix2pix TensorFlow implementation was made by affinelayer: github.com/affinelayer/pix2pix-tensorflow\nThis version is heavily based on Christopher Hesse TensorFlow.js implementation: https://github.com/affinelayer/pix2pix-tensorflow/tree/master/server\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport CheckpointLoaderPix2pix from '../utils/checkpointLoaderPix2pix';\nimport { array3DToImage } from '../utils/imageUtilities';\nimport callCallback from '../utils/callcallback';\n\nclass Pix2pix {\n  constructor(model, callback) {\n    this.ready = callCallback(this.loadCheckpoints(model), callback);\n  }\n\n  async loadCheckpoints(path) {\n    const checkpointLoader = new CheckpointLoaderPix2pix(path);\n    this.variables = await checkpointLoader.getAllVariables();\n    return this;\n  }\n\n  async transfer(inputElement, cb) {\n    return callCallback(this.transferInternal(inputElement), cb);\n  }\n\n  async transferInternal(inputElement) {\n    const input = tf.fromPixels(inputElement);\n    const inputData = input.dataSync();\n    const floatInput = tf.tensor3d(inputData, input.shape);\n    const normalizedInput = tf.div(floatInput, tf.scalar(255));\n\n    const result = array3DToImage(tf.tidy(() => {\n      const preprocessedInput = Pix2pix.preprocess(normalizedInput);\n      const layers = [];\n      let filter = this.variables['generator/encoder_1/conv2d/kernel'];\n      let bias = this.variables['generator/encoder_1/conv2d/bias'];\n      let convolved = Pix2pix.conv2d(preprocessedInput, filter, bias);\n      layers.push(convolved);\n\n      for (let i = 2; i <= 8; i += 1) {\n        const scope = `generator/encoder_${i.toString()}`;\n        filter = this.variables[`${scope}/conv2d/kernel`];\n        const bias2 = this.variables[`${scope}/conv2d/bias`];\n        const layerInput = layers[layers.length - 1];\n        const rectified = tf.leakyRelu(layerInput, 0.2);\n        convolved = Pix2pix.conv2d(rectified, filter, bias2);\n        const scale = this.variables[`${scope}/batch_normalization/gamma`];\n        const offset = this.variables[`${scope}/batch_normalization/beta`];\n        const normalized = Pix2pix.batchnorm(convolved, scale, offset);\n        layers.push(normalized);\n      }\n\n      for (let i = 8; i >= 2; i -= 1) {\n        let layerInput;\n        if (i === 8) {\n          layerInput = layers[layers.length - 1];\n        } else {\n          const skipLayer = i - 1;\n          layerInput = tf.concat([layers[layers.length - 1], layers[skipLayer]], 2);\n        }\n        const rectified = tf.relu(layerInput);\n        const scope = `generator/decoder_${i.toString()}`;\n        filter = this.variables[`${scope}/conv2d_transpose/kernel`];\n        bias = this.variables[`${scope}/conv2d_transpose/bias`];\n        convolved = Pix2pix.deconv2d(rectified, filter, bias);\n        const scale = this.variables[`${scope}/batch_normalization/gamma`];\n        const offset = this.variables[`${scope}/batch_normalization/beta`];\n        const normalized = Pix2pix.batchnorm(convolved, scale, offset);\n        layers.push(normalized);\n      }\n\n      const layerInput = tf.concat([layers[layers.length - 1], layers[0]], 2);\n      let rectified2 = tf.relu(layerInput);\n      filter = this.variables['generator/decoder_1/conv2d_transpose/kernel'];\n      const bias3 = this.variables['generator/decoder_1/conv2d_transpose/bias'];\n      convolved = Pix2pix.deconv2d(rectified2, filter, bias3);\n      rectified2 = tf.tanh(convolved);\n      layers.push(rectified2);\n\n      const output = layers[layers.length - 1];\n      const deprocessedOutput = Pix2pix.deprocess(output);\n      return deprocessedOutput;\n    }));\n\n    await tf.nextFrame();\n    return result;\n  }\n\n  static preprocess(inputPreproc) {\n    return tf.sub(tf.mul(inputPreproc, tf.scalar(2)), tf.scalar(1));\n  }\n\n  static deprocess(inputDeproc) {\n    return tf.div(tf.add(inputDeproc, tf.scalar(1)), tf.scalar(2));\n  }\n\n  static batchnorm(inputBat, scale, offset) {\n    const moments = tf.moments(inputBat, [0, 1]);\n    const varianceEpsilon = 1e-5;\n    return tf.batchNormalization(inputBat, moments.mean, moments.variance, varianceEpsilon, scale, offset);\n  }\n\n  static conv2d(inputCon, filterCon) {\n    return tf.conv2d(inputCon, filterCon, [2, 2], 'same');\n  }\n\n  static deconv2d(inputDeconv, filterDeconv, biasDecon) {\n    const convolved = tf.conv2dTranspose(inputDeconv, filterDeconv, [inputDeconv.shape[0] * 2, inputDeconv.shape[1] * 2, filterDeconv.shape[2]], [2, 2], 'same');\n    const biased = tf.add(convolved, biasDecon);\n    return biased;\n  }\n}\n\nconst pix2pix = (model, callback) => {\n  const instance = new Pix2pix(model, callback);\n  return callback ? instance : instance.ready;\n};\n\nexport default pix2pix;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n// Utils for sampling\n\n// Sample from a distrubution\nconst sampleFromDistribution = (input) => {\n  const randomValue = Math.random();\n  let sum = 0;\n  let result;\n  for (let j = 0; j < input.length; j += 1) {\n    sum += input[j];\n    if (randomValue < sum) {\n      result = j;\n      break;\n    }\n  }\n  return result;\n};\n\nexport default sampleFromDistribution;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint prefer-destructuring: [\"error\", {AssignmentExpression: {array: false}}] */\n/* eslint no-await-in-loop: \"off\" */\n/*\nA LSTM Generator: Run inference mode for a pre-trained LSTM.\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport sampleFromDistribution from './../utils/sample';\nimport CheckpointLoader from '../utils/checkpointLoader';\nimport callCallback from '../utils/callcallback';\n\nconst regexCell = /cell_[0-9]|lstm_[0-9]/gi;\nconst regexWeights = /weights|weight|kernel|kernels|w/gi;\nconst regexFullyConnected = /softmax/gi;\n\nclass CharRNN {\n  constructor(modelPath, callback) {\n    this.ready = false;\n    this.model = {};\n    this.cellsAmount = 0;\n    this.cells = [];\n    this.zeroState = { c: [], h: [] };\n    this.state = { c: [], h: [] };\n    this.vocab = {};\n    this.vocabSize = 0;\n    this.probabilities = [];\n    this.defaults = {\n      seed: 'a', // TODO: use no seed by default\n      length: 20,\n      temperature: 0.5,\n      stateful: false,\n    };\n\n    this.ready = callCallback(this.loadCheckpoints(modelPath), callback);\n    // this.then = this.ready.then.bind(this.ready);\n  }\n\n  resetState() {\n    this.state = this.zeroState;\n  }\n\n  setState(state) {\n    this.state = state;\n  }\n\n  getState() {\n    return this.state;\n  }\n\n  async loadCheckpoints(path) {\n    const reader = new CheckpointLoader(path);\n    const vars = await reader.getAllVariables();\n    Object.keys(vars).forEach((key) => {\n      if (key.match(regexCell)) {\n        if (key.match(regexWeights)) {\n          this.model[`Kernel_${key.match(/[0-9]/)[0]}`] = vars[key];\n          this.cellsAmount += 1;\n        } else {\n          this.model[`Bias_${key.match(/[0-9]/)[0]}`] = vars[key];\n        }\n      } else if (key.match(regexFullyConnected)) {\n        if (key.match(regexWeights)) {\n          this.model.fullyConnectedWeights = vars[key];\n        } else {\n          this.model.fullyConnectedBiases = vars[key];\n        }\n      } else {\n        this.model[key] = vars[key];\n      }\n    });\n    await this.loadVocab(path);\n    await this.initCells();\n    return this;\n  }\n\n  async loadVocab(path) {\n    const json = await fetch(`${path}/vocab.json`)\n      .then(response => response.json())\n      .catch(err => console.error(err));\n    this.vocab = json;\n    this.vocabSize = Object.keys(json).length;\n  }\n\n  async initCells() {\n    this.cells = [];\n    this.zeroState = { c: [], h: [] };\n    const forgetBias = tf.tensor(1.0);\n\n    const lstm = (i) => {\n      const cell = (DATA, C, H) =>\n        tf.basicLSTMCell(forgetBias, this.model[`Kernel_${i}`], this.model[`Bias_${i}`], DATA, C, H);\n      return cell;\n    };\n\n    for (let i = 0; i < this.cellsAmount; i += 1) {\n      this.zeroState.c.push(tf.zeros([1, this.model[`Bias_${i}`].shape[0] / 4]));\n      this.zeroState.h.push(tf.zeros([1, this.model[`Bias_${i}`].shape[0] / 4]));\n      this.cells.push(lstm(i));\n    }\n\n    this.state = this.zeroState;\n  }\n\n  async generateInternal(options) {\n    await this.ready;\n    const seed = options.seed || this.defaults.seed;\n    const length = +options.length || this.defaults.length;\n    const temperature = +options.temperature || this.defaults.temperature;\n    const stateful = options.stateful || this.defaults.stateful;\n    if (!stateful) {\n      this.state = this.zeroState;\n    }\n\n    const results = [];\n    const userInput = Array.from(seed);\n    const encodedInput = [];\n\n    userInput.forEach((char) => {\n      encodedInput.push(this.vocab[char]);\n    });\n\n    let input = encodedInput[0];\n    let probabilitiesNormalized = []; // will contain final probabilities (normalized)\n\n    for (let i = 0; i < userInput.length + length + -1; i += 1) {\n      const onehotBuffer = tf.buffer([1, this.vocabSize]);\n      onehotBuffer.set(1.0, 0, input);\n      const onehot = onehotBuffer.toTensor();\n      let output;\n      if (this.model.embedding) {\n        const embedded = tf.matMul(onehot, this.model.embedding);\n        output = tf.multiRNNCell(this.cells, embedded, this.state.c, this.state.h);\n      } else {\n        output = tf.multiRNNCell(this.cells, onehot, this.state.c, this.state.h);\n      }\n\n      this.state.c = output[0];\n      this.state.h = output[1];\n\n      const outputH = this.state.h[1];\n      const weightedResult = tf.matMul(outputH, this.model.fullyConnectedWeights);\n      const logits = tf.add(weightedResult, this.model.fullyConnectedBiases);\n      const divided = tf.div(logits, tf.tensor(temperature));\n      const probabilities = tf.exp(divided);\n      probabilitiesNormalized = await tf.div(\n        probabilities,\n        tf.sum(probabilities),\n      ).data();\n\n      if (i < userInput.length - 1) {\n        input = encodedInput[i + 1];\n      } else {\n        input = sampleFromDistribution(probabilitiesNormalized);\n        results.push(input);\n      }\n    }\n\n    let generated = '';\n    results.forEach((char) => {\n      const mapped = Object.keys(this.vocab).find(key => this.vocab[key] === char);\n      if (mapped) {\n        generated += mapped;\n      }\n    });\n    this.probabilities = probabilitiesNormalized;\n    return {\n      sample: generated,\n      state: this.state,\n    };\n  }\n\n  reset() {\n    this.state = this.zeroState;\n  }\n\n  // stateless\n  async generate(options, callback) {\n    this.reset();\n    return callCallback(this.generateInternal(options), callback);\n  }\n\n  // stateful\n  async predict(temp, callback) {\n    let probabilitiesNormalized = [];\n    const temperature = temp > 0 ? temp : 0.1;\n    const outputH = this.state.h[1];\n    const weightedResult = tf.matMul(outputH, this.model.fullyConnectedWeights);\n    const logits = tf.add(weightedResult, this.model.fullyConnectedBiases);\n    const divided = tf.div(logits, tf.tensor(temperature));\n    const probabilities = tf.exp(divided);\n    probabilitiesNormalized = await tf.div(\n      probabilities,\n      tf.sum(probabilities),\n    ).data();\n\n    const sample = sampleFromDistribution(probabilitiesNormalized);\n    const result = Object.keys(this.vocab).find(key => this.vocab[key] === sample);\n    this.probabilities = probabilitiesNormalized;\n    if (callback) {\n      callback(result);\n    }\n    /* eslint max-len: [\"error\", { \"code\": 180 }] */\n    const pm = Object.keys(this.vocab).map(c => ({ char: c, probability: this.probabilities[this.vocab[c]] }));\n    return {\n      sample: result,\n      probabilities: pm,\n    };\n  }\n\n  async feed(inputSeed, callback) {\n    await this.ready;\n    const seed = Array.from(inputSeed);\n    const encodedInput = [];\n\n    seed.forEach((char) => {\n      encodedInput.push(this.vocab[char]);\n    });\n\n    let input = encodedInput[0];\n    for (let i = 0; i < seed.length; i += 1) {\n      const onehotBuffer = tf.buffer([1, this.vocabSize]);\n      onehotBuffer.set(1.0, 0, input);\n      const onehot = onehotBuffer.toTensor();\n      let output;\n      if (this.model.embedding) {\n        const embedded = tf.matMul(onehot, this.model.embedding);\n        output = tf.multiRNNCell(this.cells, embedded, this.state.c, this.state.h);\n      } else {\n        output = tf.multiRNNCell(this.cells, onehot, this.state.c, this.state.h);\n      }\n      this.state.c = output[0];\n      this.state.h = output[1];\n      input = encodedInput[i];\n    }\n    if (callback) {\n      callback();\n    }\n  }\n}\n\nconst charRNN = (modelPath = './', callback) => new CharRNN(modelPath, callback);\n\nexport default charRNN;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint max-len: \"off\" */\n/* eslint no-trailing-spaces: \"off\" */\n/*\nFast Style Transfer\nThis implementation is heavily based on github.com/reiinakano/fast-style-transfer-deeplearnjs by Reiichiro Nakano.\nThe original TensorFlow implementation was developed by Logan Engstrom: github.com/lengstrom/fast-style-transfer \n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport Video from './../utils/Video';\nimport CheckpointLoader from '../utils/checkpointLoader';\nimport { array3DToImage } from '../utils/imageUtilities';\nimport callCallback from '../utils/callcallback';\n\nconst IMAGE_SIZE = 200;\n\nclass StyleTransfer extends Video {\n  constructor(model, video, callback) {\n    super(video, IMAGE_SIZE);\n    this.ready = false;\n    this.variableDictionary = {};\n    this.timesScalar = tf.scalar(150);\n    this.plusScalar = tf.scalar(255.0 / 2);\n    this.epsilonScalar = tf.scalar(1e-3);\n    this.video = null;\n    this.ready = callCallback(this.load(model), callback);\n    // this.then = this.ready.then;\n  }\n\n  async load(model) {\n    if (this.videoElt) {\n      await this.loadVideo();\n      this.videoReady = true;\n    }\n    await this.loadCheckpoints(model);\n    return this;\n  }\n\n  async loadCheckpoints(path) {\n    const checkpointLoader = new CheckpointLoader(path);\n    this.variables = await checkpointLoader.getAllVariables();\n  }\n\n  instanceNorm(input, id) {\n    const [height, width, inDepth] = input.shape;\n    const moments = tf.moments(input, [0, 1]);\n    const mu = moments.mean;\n    const sigmaSq = moments.variance;\n    const shift = this.variables[StyleTransfer.getVariableName(id)];\n    const scale = this.variables[StyleTransfer.getVariableName(id + 1)];\n    const epsilon = this.epsilonScalar;\n    const normalized = tf.div(tf.sub(input.asType('float32'), mu), tf.sqrt(tf.add(sigmaSq, epsilon)));\n    const shifted = tf.add(tf.mul(scale, normalized), shift);\n    return shifted.as3D(height, width, inDepth);\n  }\n\n  convLayer(input, strides, relu, id) {\n    const y = tf.conv2d(input, this.variables[StyleTransfer.getVariableName(id)], [strides, strides], 'same');\n    const y2 = this.instanceNorm(y, id + 1);\n    if (relu) {\n      return tf.relu(y2);\n    }\n    return y2;\n  }\n\n  residualBlock(input, id) {\n    const conv1 = this.convLayer(input, 1, true, id);\n    const conv2 = this.convLayer(conv1, 1, false, id + 3);\n    return tf.add(conv2, input);\n  }\n\n  convTransposeLayer(input, numFilters, strides, id) {\n    const [height, width] = input.shape;\n    const newRows = height * strides;\n    const newCols = width * strides;\n    const newShape = [newRows, newCols, numFilters];\n    const y = tf.conv2dTranspose(input, this.variables[StyleTransfer.getVariableName(id)], newShape, [strides, strides], 'same');\n    const y2 = this.instanceNorm(y, id + 1);\n    const y3 = tf.relu(y2);\n    return y3;\n  }\n\n  async transfer(inputOrCallback, cb) {\n    let input;\n    let callback = cb;\n\n    if (inputOrCallback instanceof HTMLVideoElement || inputOrCallback instanceof HTMLImageElement) {\n      input = inputOrCallback;\n    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLVideoElement || inputOrCallback.elt instanceof HTMLImageElement)) {\n      input = inputOrCallback.elt;\n    } else if (typeof inputOrCallback === 'function') {\n      input = this.video;\n      callback = inputOrCallback;\n    }\n\n    return callCallback(this.transferInternal(input), callback);\n  }\n\n  async transferInternal(input) {\n    const image = tf.fromPixels(input);\n    const result = array3DToImage(tf.tidy(() => {\n      const conv1 = this.convLayer(image, 1, true, 0);\n      const conv2 = this.convLayer(conv1, 2, true, 3);\n      const conv3 = this.convLayer(conv2, 2, true, 6);\n      const res1 = this.residualBlock(conv3, 9);\n      const res2 = this.residualBlock(res1, 15);\n      const res3 = this.residualBlock(res2, 21);\n      const res4 = this.residualBlock(res3, 27);\n      const res5 = this.residualBlock(res4, 33);\n      const convT1 = this.convTransposeLayer(res5, 64, 2, 39);\n      const convT2 = this.convTransposeLayer(convT1, 32, 2, 42);\n      const convT3 = this.convLayer(convT2, 1, false, 45);\n      const outTanh = tf.tanh(convT3);\n      const scaled = tf.mul(this.timesScalar, outTanh);\n      const shifted = tf.add(this.plusScalar, scaled);\n      const clamped = tf.clipByValue(shifted, 0, 255);\n      const normalized = tf.div(clamped, tf.scalar(255.0));\n      return normalized;\n    }));\n    await tf.nextFrame();\n    return result;\n  }\n\n  // Static Methods\n  static getVariableName(id) {\n    if (id === 0) {\n      return 'Variable';\n    }\n    return `Variable_${id}`;\n  }\n}\n\nconst styleTransfer = (model, videoOrCallback, cb) => {\n  const video = videoOrCallback;\n  let callback = cb;\n\n  if (typeof videoOrCallback === 'function') {\n    callback = videoOrCallback;\n  }\n\n  const instance = new StyleTransfer(model, video, callback);\n  return callback ? instance : instance.ready;\n};\n\nexport default styleTransfer;\n","// @tensorflow/tfjs-models Copyright 2018 Google\nimport*as tf from\"@tensorflow/tfjs\";import{Tensor,fromPixels,tidy,util,TensorBuffer,scalar,cast,concat,tensor2d}from\"@tensorflow/tfjs\";function __awaiter(e,t,r,n){return new(r||(r=Promise))(function(o,i){function a(e){try{u(n.next(e))}catch(e){i(e)}}function s(e){try{u(n.throw(e))}catch(e){i(e)}}function u(e){e.done?o(e.value):new r(function(t){t(e.value)}).then(a,s)}u((n=n.apply(e,t||[])).next())})}function __generator(e,t){var r,n,o,i,a={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function s(i){return function(s){return function(i){if(r)throw new TypeError(\"Generator is already executing.\");for(;a;)try{if(r=1,n&&(o=2&i[0]?n.return:i[0]?n.throw||((o=n.return)&&o.call(n),0):n.next)&&!(o=o.call(n,i[1])).done)return o;switch(n=0,o&&(i=[2&i[0],o.value]),i[0]){case 0:case 1:o=i;break;case 4:return a.label++,{value:i[1],done:!1};case 5:a.label++,n=i[1],i=[0];continue;case 7:i=a.ops.pop(),a.trys.pop();continue;default:if(!(o=(o=a.trys).length>0&&o[o.length-1])&&(6===i[0]||2===i[0])){a=0;continue}if(3===i[0]&&(!o||i[1]>o[0]&&i[1]<o[3])){a.label=i[1];break}if(6===i[0]&&a.label<o[1]){a.label=o[1],o=i;break}if(o&&a.label<o[2]){a.label=o[2],a.ops.push(i);break}o[2]&&a.ops.pop(),a.trys.pop();continue}i=t.call(e,a)}catch(e){i=[6,e],n=0}finally{r=o=0}if(5&i[0])throw i[1];return{value:i[0]?i[1]:void 0,done:!0}}([i,s])}}}var partNames=[\"nose\",\"leftEye\",\"rightEye\",\"leftEar\",\"rightEar\",\"leftShoulder\",\"rightShoulder\",\"leftElbow\",\"rightElbow\",\"leftWrist\",\"rightWrist\",\"leftHip\",\"rightHip\",\"leftKnee\",\"rightKnee\",\"leftAnkle\",\"rightAnkle\"],NUM_KEYPOINTS=partNames.length,partIds=partNames.reduce(function(e,t,r){return e[t]=r,e},{}),connectedPartNames=[[\"leftHip\",\"leftShoulder\"],[\"leftElbow\",\"leftShoulder\"],[\"leftElbow\",\"leftWrist\"],[\"leftHip\",\"leftKnee\"],[\"leftKnee\",\"leftAnkle\"],[\"rightHip\",\"rightShoulder\"],[\"rightElbow\",\"rightShoulder\"],[\"rightElbow\",\"rightWrist\"],[\"rightHip\",\"rightKnee\"],[\"rightKnee\",\"rightAnkle\"],[\"leftShoulder\",\"rightShoulder\"],[\"leftHip\",\"rightHip\"]],poseChain=[[\"nose\",\"leftEye\"],[\"leftEye\",\"leftEar\"],[\"nose\",\"rightEye\"],[\"rightEye\",\"rightEar\"],[\"nose\",\"leftShoulder\"],[\"leftShoulder\",\"leftElbow\"],[\"leftElbow\",\"leftWrist\"],[\"leftShoulder\",\"leftHip\"],[\"leftHip\",\"leftKnee\"],[\"leftKnee\",\"leftAnkle\"],[\"nose\",\"rightShoulder\"],[\"rightShoulder\",\"rightElbow\"],[\"rightElbow\",\"rightWrist\"],[\"rightShoulder\",\"rightHip\"],[\"rightHip\",\"rightKnee\"],[\"rightKnee\",\"rightAnkle\"]],connectedPartIndices=connectedPartNames.map(function(e){var t=e[0],r=e[1];return[partIds[t],partIds[r]]});function eitherPointDoesntMeetConfidence(e,t,r){return e<r||t<r}function getAdjacentKeyPoints(e,t){return connectedPartIndices.reduce(function(r,n){var o=n[0],i=n[1];return eitherPointDoesntMeetConfidence(e[o].score,e[i].score,t)?r:(r.push([e[o],e[i]]),r)},[])}var NEGATIVE_INFINITY=Number.NEGATIVE_INFINITY,POSITIVE_INFINITY=Number.POSITIVE_INFINITY;function getBoundingBox(e){return e.reduce(function(e,t){var r=e.maxX,n=e.maxY,o=e.minX,i=e.minY,a=t.position,s=a.x,u=a.y;return{maxX:Math.max(r,s),maxY:Math.max(n,u),minX:Math.min(o,s),minY:Math.min(i,u)}},{maxX:NEGATIVE_INFINITY,maxY:NEGATIVE_INFINITY,minX:POSITIVE_INFINITY,minY:POSITIVE_INFINITY})}function getBoundingBoxPoints(e){var t=getBoundingBox(e),r=t.minX,n=t.minY,o=t.maxX,i=t.maxY;return[{x:r,y:n},{x:o,y:n},{x:o,y:i},{x:r,y:i}]}function toTensorBuffer(e,t){return void 0===t&&(t=\"float32\"),__awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(n){switch(n.label){case 0:return[4,e.data()];case 1:return r=n.sent(),[2,new TensorBuffer(e.shape,t,r)]}})})}function toTensorBuffers3D(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,Promise.all(e.map(function(e){return toTensorBuffer(e,\"float32\")}))]})})}function scalePose(e,t,r){return{score:e.score,keypoints:e.keypoints.map(function(e){var n=e.score,o=e.part,i=e.position;return{score:n,part:o,position:{x:i.x*t,y:i.y*r}}})}}function scalePoses(e,t,r){return 1===r&&1===t?e:e.map(function(e){return scalePose(e,r,t)})}function getValidResolution(e,t,r){var n=t*e-1;return n-n%r+1}function half(e){return Math.floor(e/2)}var MaxHeap=function(){function e(e,t){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=t}return e.prototype.enqueue=function(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)},e.prototype.dequeue=function(){var e=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,e},e.prototype.empty=function(){return-1===this.numberOfElements},e.prototype.size=function(){return this.numberOfElements+1},e.prototype.all=function(){return this.priorityQueue.slice(0,this.numberOfElements+1)},e.prototype.max=function(){return this.priorityQueue[0]},e.prototype.swim=function(e){for(;e>0&&this.less(half(e),e);)this.exchange(e,half(e)),e=half(e)},e.prototype.sink=function(e){for(;2*e<=this.numberOfElements;){var t=2*e;if(t<this.numberOfElements&&this.less(t,t+1)&&t++,!this.less(e,t))break;this.exchange(e,t),e=t}},e.prototype.getValueAt=function(e){return this.getElementValue(this.priorityQueue[e])},e.prototype.less=function(e,t){return this.getValueAt(e)<this.getValueAt(t)},e.prototype.exchange=function(e,t){var r=this.priorityQueue[e];this.priorityQueue[e]=this.priorityQueue[t],this.priorityQueue[t]=r},e}();function scoreIsMaximumInLocalWindow(e,t,r,n,o,i){for(var a=i.shape,s=a[0],u=a[1],l=!0,c=Math.max(r-o,0),p=Math.min(r+o+1,s),f=c;f<p;++f){for(var h=Math.max(n-o,0),d=Math.min(n+o+1,u),v=h;v<d;++v)if(i.get(f,v,e)>t){l=!1;break}if(!l)break}return l}function buildPartWithScoreQueue(e,t,r){for(var n=r.shape,o=n[0],i=n[1],a=n[2],s=new MaxHeap(o*i*a,function(e){return e.score}),u=0;u<o;++u)for(var l=0;l<i;++l)for(var c=0;c<a;++c){var p=r.get(u,l,c);p<e||scoreIsMaximumInLocalWindow(c,p,u,l,t,r)&&s.enqueue({score:p,part:{heatmapY:u,heatmapX:l,id:c}})}return s}function getOffsetPoint(e,t,r,n){return{y:n.get(e,t,r),x:n.get(e,t,r+NUM_KEYPOINTS)}}function getImageCoords(e,t,r){var n=getOffsetPoint(e.heatmapY,e.heatmapX,e.id,r),o=n.y,i=n.x;return{x:e.heatmapX*t+i,y:e.heatmapY*t+o}}function clamp(e,t,r){return e<t?t:e>r?r:e}function squaredDistance(e,t,r,n){var o=r-e,i=n-t;return o*o+i*i}function addVectors(e,t){return{x:e.x+t.x,y:e.y+t.y}}var parentChildrenTuples=poseChain.map(function(e){var t=e[0],r=e[1];return[partIds[t],partIds[r]]}),parentToChildEdges=parentChildrenTuples.map(function(e){return e[1]}),childToParentEdges=parentChildrenTuples.map(function(e){return e[0]});function getDisplacement(e,t,r){var n=r.shape[2]/2;return{y:r.get(t.y,t.x,e),x:r.get(t.y,t.x,n+e)}}function getStridedIndexNearPoint(e,t,r,n){return{y:clamp(Math.round(e.y/t),0,r-1),x:clamp(Math.round(e.x/t),0,n-1)}}function traverseToTargetKeypoint(e,t,r,n,o,i,a){var s=n.shape,u=s[0],l=s[1],c=getDisplacement(e,getStridedIndexNearPoint(t.position,i,u,l),a),p=getStridedIndexNearPoint(addVectors(t.position,c),i,u,l),f=getOffsetPoint(p.y,p.x,r,o),h=n.get(p.y,p.x,r);return{position:addVectors({x:p.x*i,y:p.y*i},{x:f.x,y:f.y}),part:partNames[r],score:h}}function decodePose(e,t,r,n,o,i){var a=t.shape[2],s=parentToChildEdges.length,u=new Array(a),l=e.part,c=e.score,p=getImageCoords(l,n,r);u[l.id]={score:c,part:partNames[l.id],position:p};for(var f=s-1;f>=0;--f){var h=parentToChildEdges[f],d=childToParentEdges[f];u[h]&&!u[d]&&(u[d]=traverseToTargetKeypoint(f,u[h],d,t,r,n,i))}for(f=0;f<s;++f){h=childToParentEdges[f],d=parentToChildEdges[f];u[h]&&!u[d]&&(u[d]=traverseToTargetKeypoint(f,u[h],d,t,r,n,o))}return u}function withinNmsRadiusOfCorrespondingPoint(e,t,r,n){var o=r.x,i=r.y;return e.some(function(e){var r=e.keypoints[n].position;return squaredDistance(i,o,r.y,r.x)<=t})}function getInstanceScore(e,t,r){return r.reduce(function(r,n,o){var i=n.position,a=n.score;return withinNmsRadiusOfCorrespondingPoint(e,t,i,o)||(r+=a),r},0)/r.length}var kLocalMaximumRadius=1;function decodeMultiplePoses(e,t,r,n,o,i,a,s){return void 0===a&&(a=.5),void 0===s&&(s=20),__awaiter(this,void 0,void 0,function(){var u,l,c,p,f,h,d,v,m,g,b,y;return __generator(this,function(w){switch(w.label){case 0:return u=[],[4,toTensorBuffers3D([e,t,r,n])];case 1:for(l=w.sent(),c=l[0],p=l[1],f=l[2],h=l[3],d=buildPartWithScoreQueue(a,kLocalMaximumRadius,c),v=s*s;u.length<i&&!d.empty();)m=d.dequeue(),g=getImageCoords(m.part,o,p),withinNmsRadiusOfCorrespondingPoint(u,v,g,m.part.id)||(b=decodePose(m,c,p,o,f,h),y=getInstanceScore(u,v,b),u.push({keypoints:b,score:y}));return[2,u]}})})}var MANIFEST_FILE=\"manifest.json\",CheckpointLoader=function(){function e(e){this.urlPath=e,\"/\"!==this.urlPath.charAt(this.urlPath.length-1)&&(this.urlPath+=\"/\")}return e.prototype.loadManifest=function(){var e=this;return new Promise(function(t,r){var n=new XMLHttpRequest;n.open(\"GET\",e.urlPath+MANIFEST_FILE),n.onload=function(){e.checkpointManifest=JSON.parse(n.responseText),t()},n.onerror=function(t){throw new Error(MANIFEST_FILE+\" not found at \"+e.urlPath+\". \"+t)},n.send()})},e.prototype.getCheckpointManifest=function(){var e=this;return null==this.checkpointManifest?new Promise(function(t,r){e.loadManifest().then(function(){t(e.checkpointManifest)})}):new Promise(function(t,r){t(e.checkpointManifest)})},e.prototype.getAllVariables=function(){var e=this;return null!=this.variables?new Promise(function(t,r){t(e.variables)}):new Promise(function(t,r){e.getCheckpointManifest().then(function(r){for(var n=Object.keys(e.checkpointManifest),o=[],i=0;i<n.length;i++)o.push(e.getVariable(n[i]));Promise.all(o).then(function(r){e.variables={};for(var o=0;o<r.length;o++)e.variables[n[o]]=r[o];t(e.variables)})})})},e.prototype.getVariable=function(e){var t=this;if(!(e in this.checkpointManifest))throw new Error(\"Cannot load non-existant variable \"+e);var r=function(r,n){var o=new XMLHttpRequest;o.responseType=\"arraybuffer\";var i=t.checkpointManifest[e].filename;o.open(\"GET\",t.urlPath+i),o.onload=function(){if(404===o.status)throw new Error(\"Not found variable \"+e);var n=new Float32Array(o.response),i=Tensor.make(t.checkpointManifest[e].shape,{values:n});r(i)},o.onerror=function(t){throw new Error(\"Could not fetch variable \"+e+\": \"+t)},o.send()};return null==this.checkpointManifest?new Promise(function(e,n){t.loadManifest().then(function(){new Promise(r).then(e)})}):new Promise(r)},e}(),mobileNet100Architecture=[[\"conv2d\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1]],mobileNet75Architecture=[[\"conv2d\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1]],mobileNet50Architecture=[[\"conv2d\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1]],VALID_OUTPUT_STRIDES=[8,16,32];function assertValidOutputStride(e){util.assert(\"number\"==typeof e,\"outputStride is not a number\"),util.assert(VALID_OUTPUT_STRIDES.indexOf(e)>=0,\"outputStride of \"+e+\" is invalid. It must be either 8, 16, or 32\")}function assertValidScaleFactor(e){util.assert(\"number\"==typeof e,\"imageScaleFactor is not a number\"),util.assert(e>=.2&&e<=1,\"imageScaleFactor must be between 0.2 and 1.0\")}var mobileNetArchitectures={100:mobileNet100Architecture,75:mobileNet75Architecture,50:mobileNet50Architecture};function toOutputStridedLayers(e,t){var r=1,n=1;return e.map(function(e,o){var i,a,s=e[0],u=e[1];return r===t?(i=1,a=n,n*=u):(i=u,a=1,r*=u),{blockId:o,convType:s,stride:i,rate:a,outputStride:r}})}var MobileNet=function(){function e(e,t){this.PREPROCESS_DIVISOR=scalar(127.5),this.ONE=scalar(1),this.variables=e,this.convolutionDefinitions=t}return e.prototype.predict=function(e,t){var r=this,n=cast(e,\"float32\").div(this.PREPROCESS_DIVISOR).sub(this.ONE);return toOutputStridedLayers(this.convolutionDefinitions,t).reduce(function(e,t){var n=t.blockId,o=t.stride,i=t.convType,a=t.rate;if(\"conv2d\"===i)return r.conv(e,o,n);if(\"separableConv\"===i)return r.separableConv(e,o,n,a);throw Error(\"Unknown conv type of \"+i)},n)},e.prototype.convToOutput=function(e,t){return e.conv2d(this.weights(t),1,\"same\").add(this.biases(t))},e.prototype.conv=function(e,t,r){return e.conv2d(this.weights(\"Conv2d_\"+String(r)),t,\"same\").add(this.biases(\"Conv2d_\"+String(r))).clipByValue(0,6)},e.prototype.separableConv=function(e,t,r,n){void 0===n&&(n=1);var o=\"Conv2d_\"+String(r)+\"_depthwise\",i=\"Conv2d_\"+String(r)+\"_pointwise\";return e.depthwiseConv2D(this.depthwiseWeights(o),t,\"same\",\"NHWC\",n).add(this.biases(o)).clipByValue(0,6).conv2d(this.weights(i),[1,1],\"same\").add(this.biases(i)).clipByValue(0,6)},e.prototype.weights=function(e){return this.variables[\"MobilenetV1/\"+e+\"/weights\"]},e.prototype.biases=function(e){return this.variables[\"MobilenetV1/\"+e+\"/biases\"]},e.prototype.depthwiseWeights=function(e){return this.variables[\"MobilenetV1/\"+e+\"/depthwise_weights\"]},e.prototype.dispose=function(){for(var e in this.variables)this.variables[e].dispose()},e}(),GOOGLE_CLOUD_STORAGE_DIR=\"https://storage.googleapis.com/tfjs-models/weights/posenet/\",checkpoints={1.01:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_101/\",architecture:mobileNetArchitectures[100]},1:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_100/\",architecture:mobileNetArchitectures[100]},.75:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_075/\",architecture:mobileNetArchitectures[75]},.5:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_050/\",architecture:mobileNetArchitectures[50]}};function mod(e,t){return tidy(function(){var r=e.div(scalar(t,\"int32\"));return e.sub(r.mul(scalar(t,\"int32\")))})}function argmax2d(e){var t=e.shape,r=t[0],n=t[1],o=t[2];return tidy(function(){var t=e.reshape([r*n,o]).argMax(0),i=t.div(scalar(n,\"int32\")).expandDims(1),a=mod(t,n).expandDims(1);return concat([i,a],1)})}function getPointsConfidence(e,t){for(var r=t.shape[0],n=new Float32Array(r),o=0;o<r;o++){var i=t.get(o,0),a=t.get(o,1);n[o]=e.get(i,a,o)}return n}function getOffsetPoint$1(e,t,r,n){return{y:n.get(e,t,r),x:n.get(e,t,r+NUM_KEYPOINTS)}}function getOffsetVectors(e,t){for(var r=[],n=0;n<NUM_KEYPOINTS;n++){var o=getOffsetPoint$1(e.get(n,0).valueOf(),e.get(n,1).valueOf(),n,t),i=o.x,a=o.y;r.push(a),r.push(i)}return tensor2d(r,[NUM_KEYPOINTS,2])}function getOffsetPoints(e,t,r){return tidy(function(){var n=getOffsetVectors(e,r);return e.toTensor().mul(scalar(t,\"int32\")).toFloat().add(n)})}function decodeSinglePose(e,t,r){return __awaiter(this,void 0,void 0,function(){var n,o,i,a,s,u,l,c,p,f;return __generator(this,function(h){switch(h.label){case 0:return n=0,o=argmax2d(e),[4,Promise.all([toTensorBuffer(e),toTensorBuffer(t),toTensorBuffer(o,\"int32\")])];case 1:return i=h.sent(),a=i[0],s=i[1],u=i[2],[4,toTensorBuffer(l=getOffsetPoints(u,r,s))];case 2:return c=h.sent(),p=Array.from(getPointsConfidence(a,u)),f=p.map(function(e,t){return n+=e,{position:{y:c.get(t,0),x:c.get(t,1)},part:partNames[t],score:e}}),o.dispose(),l.dispose(),[2,{keypoints:f,score:n/f.length}]}})})}var _this=void 0;function toInputTensor(e,t,r,n){var o=e instanceof Tensor?e:fromPixels(e);return n?o.reverse(1).resizeBilinear([t,r]):o.resizeBilinear([t,r])}var PoseNet=function(){function e(e){this.mobileNet=e}return e.prototype.predictForSinglePose=function(e,t){var r=this;return void 0===t&&(t=16),assertValidOutputStride(t),tidy(function(){var n=r.mobileNet.predict(e,t),o=r.mobileNet.convToOutput(n,\"heatmap_2\"),i=r.mobileNet.convToOutput(n,\"offset_2\");return{heatmapScores:o.sigmoid(),offsets:i}})},e.prototype.predictForMultiPose=function(e,t){var r=this;return void 0===t&&(t=16),tidy(function(){var n=r.mobileNet.predict(e,t),o=r.mobileNet.convToOutput(n,\"heatmap_2\"),i=r.mobileNet.convToOutput(n,\"offset_2\"),a=r.mobileNet.convToOutput(n,\"displacement_fwd_2\"),s=r.mobileNet.convToOutput(n,\"displacement_bwd_2\");return{heatmapScores:o.sigmoid(),offsets:i,displacementFwd:a,displacementBwd:s}})},e.prototype.estimateSinglePose=function(e,t,r,n){return void 0===t&&(t=.5),void 0===r&&(r=!1),void 0===n&&(n=16),__awaiter(this,void 0,void 0,function(){var o,i,a,s,u,l,c,p,f,h=this;return __generator(this,function(d){switch(d.label){case 0:return assertValidOutputStride(n),assertValidScaleFactor(t),o=e instanceof Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width],i=o[0],a=o[1],s=getValidResolution(t,i,n),u=getValidResolution(t,a,n),l=tidy(function(){var t=toInputTensor(e,s,u,r);return h.predictForSinglePose(t,n)}),c=l.heatmapScores,p=l.offsets,[4,decodeSinglePose(c,p,n)];case 1:return f=d.sent(),c.dispose(),p.dispose(),[2,scalePose(f,i/s,a/u)]}})})},e.prototype.estimateMultiplePoses=function(e,t,r,n,o,i,a){return void 0===t&&(t=.5),void 0===r&&(r=!1),void 0===n&&(n=16),void 0===o&&(o=5),void 0===i&&(i=.5),void 0===a&&(a=20),__awaiter(this,void 0,void 0,function(){var s,u,l,c,p,f,h,d,v,m,g,b=this;return __generator(this,function(y){switch(y.label){case 0:return assertValidOutputStride(n),assertValidScaleFactor(t),s=e instanceof Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width],u=s[0],l=s[1],c=getValidResolution(t,u,n),p=getValidResolution(t,l,n),f=tidy(function(){var t=toInputTensor(e,c,p,r);return b.predictForMultiPose(t,n)}),h=f.heatmapScores,d=f.offsets,v=f.displacementFwd,m=f.displacementBwd,[4,decodeMultiplePoses(h,d,v,m,n,o,i,a)];case 1:return g=y.sent(),h.dispose(),d.dispose(),v.dispose(),m.dispose(),[2,scalePoses(g,u/c,l/p)]}})})},e.prototype.dispose=function(){this.mobileNet.dispose()},e}();function load(e){return void 0===e&&(e=1.01),__awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){switch(n.label){case 0:if(null==tf)throw new Error(\"Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.\");return t=Object.keys(checkpoints),util.assert(\"number\"==typeof e,\"got multiplier type of \"+typeof e+\" when it should be a number.\"),util.assert(t.indexOf(e.toString())>=0,\"invalid multiplier value of \"+e+\".  No checkpoint exists for that multiplier. Must be one of \"+t.join(\",\")+\".\"),[4,mobilenetLoader.load(e)];case 1:return r=n.sent(),[2,new PoseNet(r)]}})})}var mobilenetLoader={load:function(e){return __awaiter(_this,void 0,void 0,function(){var t,r;return __generator(this,function(n){switch(n.label){case 0:return t=checkpoints[e],[4,new CheckpointLoader(t.url).getAllVariables()];case 1:return r=n.sent(),[2,new MobileNet(r,t.architecture)]}})})}};export{decodeMultiplePoses,decodeSinglePose,load,PoseNet,checkpoints,partIds,partNames,poseChain,getAdjacentKeyPoints,getBoundingBox,getBoundingBoxPoints};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nPoseNet\nThe original PoseNet model was ported to TensorFlow.js by Dan Oved.\n*/\n\nimport EventEmitter from 'events';\nimport * as tf from '@tensorflow/tfjs';\nimport * as posenet from '@tensorflow-models/posenet';\nimport callCallback from '../utils/callcallback';\n\nconst DEFAULTS = {\n  imageScaleFactor: 0.3,\n  outputStride: 16,\n  flipHorizontal: false,\n  minConfidence: 0.5,\n  maxPoseDetections: 5,\n  scoreThreshold: 0.5,\n  nmsRadius: 20,\n  detectionType: 'multiple',\n  multiplier: 0.75,\n};\n\nclass PoseNet extends EventEmitter {\n  constructor(video, options, detectionType, callback) {\n    super();\n    this.video = video;\n    this.detectionType = detectionType || DEFAULTS.detectionType;\n    this.imageScaleFactor = options.imageScaleFactor || DEFAULTS.imageScaleFactor;\n    this.outputStride = options.outputStride || DEFAULTS.outputStride;\n    this.flipHorizontal = options.flipHorizontal || DEFAULTS.flipHorizontal;\n    this.minConfidence = options.minConfidence || DEFAULTS.minConfidence;\n    this.multiplier = options.multiplier || DEFAULTS.multiplier;\n    this.ready = callCallback(this.load(), callback);\n    // this.then = this.ready.then;\n  }\n\n  async load() {\n    this.net = await posenet.load(this.multiplier);\n\n    if (this.video) {\n      if (this.video.readyState === 0) {\n        await new Promise((resolve) => {\n          this.video.onloadeddata = () => resolve();\n        });\n      }\n      if (this.detectionType === 'single') {\n        this.singlePose();\n      }\n\n      this.multiPose();\n    }\n    return this;\n  }\n\n  skeleton(keypoints, confidence = this.minConfidence) {\n    return posenet.getAdjacentKeyPoints(keypoints, confidence);\n  }\n\n  /* eslint max-len: [\"error\", { \"code\": 180 }] */\n  async singlePose(inputOr, cb) {\n    let input;\n\n    if (inputOr instanceof HTMLImageElement || inputOr instanceof HTMLVideoElement) {\n      input = inputOr;\n    } else if (typeof inputOr === 'object' && (inputOr.elt instanceof HTMLImageElement || inputOr.elt instanceof HTMLVideoElement)) {\n      input = inputOr.elt; // Handle p5.js image and video\n    } else {\n      input = this.video;\n    }\n\n    const pose = await this.net.estimateSinglePose(input, this.imageScaleFactor, this.flipHorizontal, this.outputStride);\n\n    const result = [{ pose, skeleton: this.skeleton(pose.keypoints) }];\n    this.emit('pose', result);\n\n    if (this.video) {\n      return tf.nextFrame().then(() => this.singlePose());\n    }\n\n    if (typeof cb === 'function') {\n      cb(result);\n    }\n\n    return result;\n  }\n\n  async multiPose(inputOr, cb) {\n    let input;\n\n    if (inputOr instanceof HTMLImageElement || inputOr instanceof HTMLVideoElement) {\n      input = inputOr;\n    } else if (typeof inputOr === 'object' && (inputOr.elt instanceof HTMLImageElement || inputOr.elt instanceof HTMLVideoElement)) {\n      input = inputOr.elt; // Handle p5.js image and video\n    } else {\n      input = this.video;\n    }\n\n    const poses = await this.net.estimateMultiplePoses(input, this.imageScaleFactor, this.flipHorizontal, this.outputStride);\n    const result = poses.map(pose => ({ pose, skeleton: this.skeleton(pose.keypoints) }));\n    this.emit('pose', result);\n    if (this.video) {\n      return tf.nextFrame().then(() => this.multiPose());\n    }\n\n    if (typeof cb === 'function') {\n      cb(result);\n    }\n\n    return result;\n  }\n}\n\nconst poseNet = (videoOrOptionsOrCallback, optionsOrCallback, cb) => {\n  let video;\n  let options = {};\n  let callback = cb;\n  let detectionType = null;\n\n  if (videoOrOptionsOrCallback instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'object' && videoOrOptionsOrCallback.elt instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback.elt; // Handle a p5.js video element\n  } else if (typeof videoOrOptionsOrCallback === 'object') {\n    options = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'function') {\n    callback = videoOrOptionsOrCallback;\n  }\n\n  if (typeof optionsOrCallback === 'object') {\n    options = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'function') {\n    callback = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'string') {\n    detectionType = optionsOrCallback;\n  }\n\n  return new PoseNet(video, options, detectionType, callback);\n};\n\nexport default poseNet;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n// Heavily derived from YAD2K (https://github.com/allanzelener/YAD2K)\n/* eslint max-len: [\"error\", { \"code\": 180 }] */\n\nimport * as tf from '@tensorflow/tfjs';\n\nexport const ANCHORS = tf.tensor2d([\n  [0.57273, 0.677385], [1.87446, 2.06253], [3.33843, 5.47434],\n  [7.88282, 3.52778], [9.77052, 9.16828],\n]);\n\nexport const boxIntersection = (a, b) => {\n  const w = Math.min(a[3], b[3]) - Math.max(a[1], b[1]);\n  const h = Math.min(a[2], b[2]) - Math.max(a[0], b[0]);\n  if (w < 0 || h < 0) {\n    return 0;\n  }\n  return w * h;\n};\n\nexport const boxUnion = (a, b) => {\n  const i = boxIntersection(a, b);\n  return (((a[3] - a[1]) * (a[2] - a[0])) + ((b[3] - b[1]) * (b[2] - b[0]))) - i;\n};\n\nexport const boxIOU = (a, b) => boxIntersection(a, b) / boxUnion(a, b);\n\nexport async function filterBoxes(\n  boxes,\n  boxConfidence,\n  boxClassProbs,\n  threshold,\n) {\n  const boxScores = tf.mul(boxConfidence, boxClassProbs);\n  const boxClasses = tf.argMax(boxScores, -1);\n  const boxClassScores = tf.max(boxScores, -1);\n\n  const predictionMask = tf.greaterEqual(boxClassScores, tf.scalar(threshold));\n\n  const maskArr = await predictionMask.data();\n\n  const indicesArr = [];\n  for (let i = 0; i < maskArr.length; i += 1) {\n    const v = maskArr[i];\n    if (v) {\n      indicesArr.push(i);\n    }\n  }\n\n  if (indicesArr.length === 0) {\n    return [null, null, null];\n  }\n\n  const indices = tf.tensor1d(indicesArr, 'int32');\n\n  return [\n    tf.gather(boxes.reshape([maskArr.length, 4]), indices),\n    tf.gather(boxClassScores.flatten(), indices),\n    tf.gather(boxClasses.flatten(), indices),\n  ];\n}\n\nexport const boxesToCorners = (boxXY, boxWH) => {\n  const two = tf.tensor1d([2.0]);\n  const boxMins = tf.sub(boxXY, tf.div(boxWH, two));\n  const boxMaxes = tf.add(boxXY, tf.div(boxWH, two));\n\n  const dim0 = boxMins.shape[0];\n  const dim1 = boxMins.shape[1];\n  const dim2 = boxMins.shape[2];\n  const size = [dim0, dim1, dim2, 1];\n\n  return tf.concat([\n    boxMins.slice([0, 0, 0, 1], size),\n    boxMins.slice([0, 0, 0, 0], size),\n    boxMaxes.slice([0, 0, 0, 1], size),\n    boxMaxes.slice([0, 0, 0, 0], size),\n  ], 3);\n};\n\nexport const nonMaxSuppression = (boxes, scores, iouThreshold) => {\n  // Zip together scores, box corners, and index\n  const zipped = [];\n  for (let i = 0; i < scores.length; i += 1) {\n    zipped.push([\n      scores[i], [boxes[4 * i], boxes[(4 * i) + 1], boxes[(4 * i) + 2], boxes[(4 * i) + 3]], i,\n    ]);\n  }\n  const sortedBoxes = zipped.sort((a, b) => b[0] - a[0]);\n  const selectedBoxes = [];\n\n  sortedBoxes.forEach((box) => {\n    let add = true;\n    for (let i = 0; i < selectedBoxes.length; i += 1) {\n      const curIOU = boxIOU(box[1], selectedBoxes[i][1]);\n      if (curIOU > iouThreshold) {\n        add = false;\n        break;\n      }\n    }\n    if (add) {\n      selectedBoxes.push(box);\n    }\n  });\n\n  return [\n    selectedBoxes.map(e => e[2]),\n    selectedBoxes.map(e => e[1]),\n    selectedBoxes.map(e => e[0]),\n  ];\n};\n\n// Convert yolo output to bounding box + prob tensors\n/* eslint no-param-reassign: 0 */\nexport function head(feats, anchors, numClasses) {\n  const numAnchors = anchors.shape[0];\n\n  const anchorsTensor = tf.reshape(anchors, [1, 1, numAnchors, 2]);\n\n  let convDims = feats.shape.slice(1, 3);\n\n  // For later use\n  const convDims0 = convDims[0];\n  const convDims1 = convDims[1];\n\n  let convHeightIndex = tf.range(0, convDims[0]);\n  let convWidthIndex = tf.range(0, convDims[1]);\n  convHeightIndex = tf.tile(convHeightIndex, [convDims[1]]);\n\n  convWidthIndex = tf.tile(tf.expandDims(convWidthIndex, 0), [convDims[0], 1]);\n  convWidthIndex = tf.transpose(convWidthIndex).flatten();\n\n  let convIndex = tf.transpose(tf.stack([convHeightIndex, convWidthIndex]));\n  convIndex = tf.reshape(convIndex, [convDims[0], convDims[1], 1, 2]);\n  convIndex = tf.cast(convIndex, feats.dtype);\n\n  feats = tf.reshape(feats, [convDims[0], convDims[1], numAnchors, numClasses + 5]);\n  convDims = tf.cast(tf.reshape(tf.tensor1d(convDims), [1, 1, 1, 2]), feats.dtype);\n\n  let boxXY = tf.sigmoid(feats.slice([0, 0, 0, 0], [convDims0, convDims1, numAnchors, 2]));\n  let boxWH = tf.exp(feats.slice([0, 0, 0, 2], [convDims0, convDims1, numAnchors, 2]));\n  const boxConfidence = tf.sigmoid(feats.slice([0, 0, 0, 4], [convDims0, convDims1, numAnchors, 1]));\n  const boxClassProbs = tf.softmax(feats.slice([0, 0, 0, 5], [convDims0, convDims1, numAnchors, numClasses]));\n\n  boxXY = tf.div(tf.add(boxXY, convIndex), convDims);\n  boxWH = tf.div(tf.mul(boxWH, anchorsTensor), convDims);\n\n  return [boxXY, boxWH, boxConfidence, boxClassProbs];\n}\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint-disable */\nexport default [\n  'person',\n  'bicycle',\n  'car',\n  'motorbike',\n  'aeroplane',\n  'bus',\n  'train',\n  'truck',\n  'boat',\n  'traffic light',\n  'fire hydrant',\n  'stop sign',\n  'parking meter',\n  'bench',\n  'bird',\n  'cat',\n  'dog',\n  'horse',\n  'sheep',\n  'cow',\n  'elephant',\n  'bear',\n  'zebra',\n  'giraffe',\n  'backpack',\n  'umbrella',\n  'handbag',\n  'tie',\n  'suitcase',\n  'frisbee',\n  'skis',\n  'snowboard',\n  'sports ball',\n  'kite',\n  'baseball bat',\n  'baseball glove',\n  'skateboard',\n  'surfboard',\n  'tennis racket',\n  'bottle',\n  'wine glass',\n  'cup',\n  'fork',\n  'knife',\n  'spoon',\n  'bowl',\n  'banana',\n  'apple',\n  'sandwich',\n  'orange',\n  'broccoli',\n  'carrot',\n  'hot dog',\n  'pizza',\n  'donut',\n  'cake',\n  'chair',\n  'sofa',\n  'pottedplant',\n  'bed',\n  'diningtable',\n  'toilet',\n  'tvmonitor',\n  'laptop',\n  'mouse',\n  'remote',\n  'keyboard',\n  'cell phone',\n  'microwave',\n  'oven',\n  'toaster',\n  'sink',\n  'refrigerator',\n  'book',\n  'clock',\n  'vase',\n  'scissors',\n  'teddy bear',\n  'hair drier',\n  'toothbrush',\n];","var $export = require('./_export');\n// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\n$export($export.S, 'Object', { create: require('./_object-create') });\n","require('../../modules/es6.object.create');\nvar $Object = require('../../modules/_core').Object;\nmodule.exports = function create(P, D) {\n  return $Object.create(P, D);\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/object/create\"), __esModule: true };","// Works with __proto__ only. Old v8 can't work with null proto objects.\n/* eslint-disable no-proto */\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\nvar check = function (O, proto) {\n  anObject(O);\n  if (!isObject(proto) && proto !== null) throw TypeError(proto + \": can't set as prototype!\");\n};\nmodule.exports = {\n  set: Object.setPrototypeOf || ('__proto__' in {} ? // eslint-disable-line\n    function (test, buggy, set) {\n      try {\n        set = require('./_ctx')(Function.call, require('./_object-gopd').f(Object.prototype, '__proto__').set, 2);\n        set(test, []);\n        buggy = !(test instanceof Array);\n      } catch (e) { buggy = true; }\n      return function setPrototypeOf(O, proto) {\n        check(O, proto);\n        if (buggy) O.__proto__ = proto;\n        else set(O, proto);\n        return O;\n      };\n    }({}, false) : undefined),\n  check: check\n};\n","// 19.1.3.19 Object.setPrototypeOf(O, proto)\nvar $export = require('./_export');\n$export($export.S, 'Object', { setPrototypeOf: require('./_set-proto').set });\n","require('../../modules/es6.object.set-prototype-of');\nmodule.exports = require('../../modules/_core').Object.setPrototypeOf;\n","module.exports = { \"default\": require(\"core-js/library/fn/object/set-prototype-of\"), __esModule: true };","// 19.1.2.9 Object.getPrototypeOf(O)\nvar toObject = require('./_to-object');\nvar $getPrototypeOf = require('./_object-gpo');\n\nrequire('./_object-sap')('getPrototypeOf', function () {\n  return function getPrototypeOf(it) {\n    return $getPrototypeOf(toObject(it));\n  };\n});\n","require('../../modules/es6.object.get-prototype-of');\nmodule.exports = require('../../modules/_core').Object.getPrototypeOf;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n/* eslint max-len: [\"error\", { \"code\": 180 }] */\n\n/*\nYOLO Object detection\nHeavily derived from https://github.com/ModelDepot/tfjs-yolo-tiny (ModelDepot: modeldepot.io)\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport Video from '../utils/Video';\nimport { imgToTensor } from '../utils/imageUtilities';\nimport callCallback from '../utils/callcallback';\nimport CLASS_NAMES from './../utils/COCO_CLASSES';\n\nimport {\n  nonMaxSuppression,\n  boxesToCorners,\n  head,\n  filterBoxes,\n  ANCHORS,\n} from './postprocess';\n\nconst URL = 'https://raw.githubusercontent.com/ml5js/ml5-data-and-training/master/models/YOLO/model.json';\n\nconst DEFAULTS = {\n  filterBoxesThreshold: 0.01,\n  IOUThreshold: 0.4,\n  classProbThreshold: 0.4,\n};\n\n// Size of the video\nconst imageSize = 416;\n\nclass YOLOBase extends Video {\n  constructor(video, options, callback) {\n    super(video, imageSize);\n\n    this.filterBoxesThreshold = options.filterBoxesThreshold || DEFAULTS.filterBoxesThreshold;\n    this.IOUThreshold = options.IOUThreshold || DEFAULTS.IOUThreshold;\n    this.classProbThreshold = options.classProbThreshold || DEFAULTS.classProbThreshold;\n    this.modelReady = false;\n    this.isPredicting = false;\n    this.ready = callCallback(this.loadModel(), callback);\n    // this.then = this.ready.then;\n  }\n\n  async loadModel() {\n    if (this.videoElt && !this.video) {\n      this.video = await this.loadVideo();\n    }\n    this.model = await tf.loadModel(URL);\n    this.modelReady = true;\n    return this;\n  }\n\n  async detect(inputOrCallback, cb) {\n    await this.ready;\n    let imgToPredict;\n    let callback = cb;\n\n    if (inputOrCallback instanceof HTMLImageElement || inputOrCallback instanceof HTMLVideoElement) {\n      imgToPredict = inputOrCallback;\n    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLImageElement || inputOrCallback.elt instanceof HTMLVideoElement)) {\n      imgToPredict = inputOrCallback.elt; // Handle p5.js image and video.\n    } else if (typeof inputOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputOrCallback;\n    }\n\n    return callCallback(this.detectInternal(imgToPredict), callback);\n  }\n\n  async detectInternal(imgToPredict) {\n    await this.ready;\n    await tf.nextFrame();\n\n    this.isPredicting = true;\n    const [allBoxes, boxConfidence, boxClassProbs] = tf.tidy(() => {\n      const input = imgToTensor(imgToPredict, [imageSize, imageSize]);\n      const activation = this.model.predict(input);\n      const [boxXY, boxWH, bConfidence, bClassProbs] = head(activation, ANCHORS, 80);\n      const aBoxes = boxesToCorners(boxXY, boxWH);\n      return [aBoxes, bConfidence, bClassProbs];\n    });\n\n    const [boxes, scores, classes] = await filterBoxes(allBoxes, boxConfidence, boxClassProbs, this.filterBoxesThreshold);\n\n    // If all boxes have been filtered out\n    if (boxes == null) {\n      return [];\n    }\n\n    const width = tf.scalar(imageSize);\n    const height = tf.scalar(imageSize);\n    const imageDims = tf.stack([height, width, height, width]).reshape([1, 4]);\n    const boxesModified = tf.mul(boxes, imageDims);\n\n    const [preKeepBoxesArr, scoresArr] = await Promise.all([\n      boxesModified.data(), scores.data(),\n    ]);\n\n    const [keepIndx, boxesArr, keepScores] = nonMaxSuppression(\n      preKeepBoxesArr,\n      scoresArr,\n      this.IOUThreshold,\n    );\n\n    const classesIndxArr = await classes.gather(tf.tensor1d(keepIndx, 'int32')).data();\n\n    const results = [];\n\n    classesIndxArr.forEach((classIndx, i) => {\n      const classProb = keepScores[i];\n      if (classProb < this.classProbThreshold) {\n        return;\n      }\n\n      const className = CLASS_NAMES[classIndx];\n      let [y, x, h, w] = boxesArr[i];\n\n      y = Math.max(0, y);\n      x = Math.max(0, x);\n      h = Math.min(imageSize, h) - y;\n      w = Math.min(imageSize, w) - x;\n\n      const resultObj = {\n        className,\n        classProb,\n        x: x / imageSize,\n        y: y / imageSize,\n        w: w / imageSize,\n        h: h / imageSize,\n      };\n\n      results.push(resultObj);\n    });\n\n    this.isPredicting = false;\n    return results;\n  }\n}\n\nconst YOLO = (videoOr, optionsOr, cb) => {\n  let video = null;\n  let options = {};\n  let callback = cb;\n\n  if (videoOr instanceof HTMLVideoElement) {\n    video = videoOr;\n  } else if (typeof videoOr === 'object' && videoOr.elt instanceof HTMLVideoElement) {\n    video = videoOr.elt; // Handle p5.js image\n  } else if (typeof videoOr === 'function') {\n    callback = videoOr;\n  } else if (typeof videoOr === 'object') {\n    options = videoOr;\n  }\n\n  if (typeof optionsOr === 'object') {\n    options = optionsOr;\n  } else if (typeof optionsOr === 'function') {\n    callback = optionsOr;\n  }\n\n  return new YOLOBase(video, options, callback);\n};\n\nexport default YOLO;\n","var getKeys = require('./_object-keys');\nvar toIObject = require('./_to-iobject');\nvar isEnum = require('./_object-pie').f;\nmodule.exports = function (isEntries) {\n  return function (it) {\n    var O = toIObject(it);\n    var keys = getKeys(O);\n    var length = keys.length;\n    var i = 0;\n    var result = [];\n    var key;\n    while (length > i) if (isEnum.call(O, key = keys[i++])) {\n      result.push(isEntries ? [key, O[key]] : O[key]);\n    } return result;\n  };\n};\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $values = require('./_object-to-array')(false);\n\n$export($export.S, 'Object', {\n  values: function values(it) {\n    return $values(it);\n  }\n});\n","require('../../modules/es7.object.values');\nmodule.exports = require('../../modules/_core').Object.values;\n","module.exports = { \"default\": require(\"core-js/library/fn/object/values\"), __esModule: true };","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nWord2Vec\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport callCallback from '../utils/callcallback';\n\n\nclass Word2Vec {\n  constructor(modelPath, callback) {\n    this.model = {};\n    this.modelPath = modelPath;\n    this.modelSize = 0;\n    this.modelLoaded = false;\n\n    this.ready = callCallback(this.loadModel(), callback);\n    // TODO: Add support to Promise\n    // this.then = this.ready.then.bind(this.ready);\n  }\n\n  async loadModel() {\n    const json = await fetch(this.modelPath)\n      .then(response => response.json());\n    Object.keys(json.vectors).forEach((word) => {\n      this.model[word] = tf.tensor1d(json.vectors[word]);\n    });\n    this.modelSize = Object.keys(this.model).length;\n    this.modelLoaded = true;\n    return this;\n  }\n\n  dispose(callback) {\n    Object.values(this.model).forEach(x => x.dispose());\n    if (callback) {\n      callback();\n    }\n  }\n\n  async add(inputs, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    return tf.tidy(() => {\n      const sum = Word2Vec.addOrSubtract(this.model, inputs, 'ADD');\n      const result = Word2Vec.nearest(this.model, sum, inputs.length, inputs.length + max);\n      if (callback) {\n        callback(undefined, result);\n      }\n      return result;\n    });\n  }\n\n  async subtract(inputs, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    return tf.tidy(() => {\n      const subtraction = Word2Vec.addOrSubtract(this.model, inputs, 'SUBTRACT');\n      const result = Word2Vec.nearest(this.model, subtraction, inputs.length, inputs.length + max);\n      if (callback) {\n        callback(undefined, result);\n      }\n      return result;\n    });\n  }\n\n  async average(inputs, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    return tf.tidy(() => {\n      const sum = Word2Vec.addOrSubtract(this.model, inputs, 'ADD');\n      const avg = tf.div(sum, tf.tensor(inputs.length));\n      const result = Word2Vec.nearest(this.model, avg, inputs.length, inputs.length + max);\n      if (callback) {\n        callback(undefined, result);\n      }\n      return result;\n    });\n  }\n\n  async nearest(input, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    const vector = this.model[input];\n    let result;\n    if (vector) {\n      result = Word2Vec.nearest(this.model, vector, 1, max + 1);\n    } else {\n      result = null;\n    }\n\n    if (callback) {\n      callback(undefined, result);\n    }\n    return result;\n  }\n\n  async getRandomWord(callback) {\n    await this.ready;\n    const words = Object.keys(this.model);\n    const result = words[Math.floor(Math.random() * words.length)];\n    if (callback) {\n      callback(undefined, result);\n    }\n    return result;\n  }\n\n  static parser(maxOrCallback, cb, defaultMax) {\n    let max = defaultMax;\n    let callback = cb;\n\n    if (typeof maxOrCallback === 'function') {\n      callback = maxOrCallback;\n    } else if (typeof maxOrCallback === 'number') {\n      max = maxOrCallback;\n    }\n    return { max, callback };\n  }\n\n  static addOrSubtract(model, values, operation) {\n    return tf.tidy(() => {\n      const vectors = [];\n      const notFound = [];\n      if (values.length < 2) {\n        throw new Error('Invalid input, must be passed more than 1 value');\n      }\n      values.forEach((value) => {\n        const vector = model[value];\n        if (!vector) {\n          notFound.push(value);\n        } else {\n          vectors.push(vector);\n        }\n      });\n\n      if (notFound.length > 0) {\n        throw new Error(`Invalid input, vector not found for: ${notFound.toString()}`);\n      }\n      let result = vectors[0];\n      if (operation === 'ADD') {\n        for (let i = 1; i < vectors.length; i += 1) {\n          result = tf.add(result, vectors[i]);\n        }\n      } else {\n        for (let i = 1; i < vectors.length; i += 1) {\n          result = tf.sub(result, vectors[i]);\n        }\n      }\n      return result;\n    });\n  }\n\n  static nearest(model, input, start, max) {\n    const nearestVectors = [];\n    Object.keys(model).forEach((word) => {\n      const distance = tf.util.distSquared(input.dataSync(), model[word].dataSync());\n      nearestVectors.push({ word, distance });\n    });\n    nearestVectors.sort((a, b) => a.distance - b.distance);\n    return nearestVectors.slice(start, max);\n  }\n}\n\nconst word2vec = (model, cb) => new Word2Vec(model, cb);\n\nexport default word2vec;\n","var anObject = require('./_an-object');\nvar get = require('./core.get-iterator-method');\nmodule.exports = require('./_core').getIterator = function (it) {\n  var iterFn = get(it);\n  if (typeof iterFn != 'function') throw TypeError(it + ' is not iterable!');\n  return anObject(iterFn.call(it));\n};\n","require('../modules/web.dom.iterable');\nrequire('../modules/es6.string.iterator');\nmodule.exports = require('../modules/core.get-iterator');\n","module.exports = { \"default\": require(\"core-js/library/fn/get-iterator\"), __esModule: true };","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').isIterable = function (it) {\n  var O = Object(it);\n  return O[ITERATOR] !== undefined\n    || '@@iterator' in O\n    // eslint-disable-next-line no-prototype-builtins\n    || Iterators.hasOwnProperty(classof(O));\n};\n","require('../modules/web.dom.iterable');\nrequire('../modules/es6.string.iterator');\nmodule.exports = require('../modules/core.is-iterable');\n","module.exports = { \"default\": require(\"core-js/library/fn/is-iterable\"), __esModule: true };","'use strict';\nvar $defineProperty = require('./_object-dp');\nvar createDesc = require('./_property-desc');\n\nmodule.exports = function (object, index, value) {\n  if (index in object) $defineProperty.f(object, index, createDesc(0, value));\n  else object[index] = value;\n};\n","'use strict';\nvar ctx = require('./_ctx');\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar toLength = require('./_to-length');\nvar createProperty = require('./_create-property');\nvar getIterFn = require('./core.get-iterator-method');\n\n$export($export.S + $export.F * !require('./_iter-detect')(function (iter) { Array.from(iter); }), 'Array', {\n  // 22.1.2.1 Array.from(arrayLike, mapfn = undefined, thisArg = undefined)\n  from: function from(arrayLike /* , mapfn = undefined, thisArg = undefined */) {\n    var O = toObject(arrayLike);\n    var C = typeof this == 'function' ? this : Array;\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var index = 0;\n    var iterFn = getIterFn(O);\n    var length, result, step, iterator;\n    if (mapping) mapfn = ctx(mapfn, aLen > 2 ? arguments[2] : undefined, 2);\n    // if object isn't iterable or it's array with default iterator - use simple case\n    if (iterFn != undefined && !(C == Array && isArrayIter(iterFn))) {\n      for (iterator = iterFn.call(O), result = new C(); !(step = iterator.next()).done; index++) {\n        createProperty(result, index, mapping ? call(iterator, mapfn, [step.value, index], true) : step.value);\n      }\n    } else {\n      length = toLength(O.length);\n      for (result = new C(length); length > index; index++) {\n        createProperty(result, index, mapping ? mapfn(O[index], index) : O[index]);\n      }\n    }\n    result.length = index;\n    return result;\n  }\n});\n","require('../../modules/es6.string.iterator');\nrequire('../../modules/es6.array.from');\nmodule.exports = require('../../modules/_core').Array.from;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nA class that extract features from Mobilenet\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport * as mobilenet from '@tensorflow-models/mobilenet';\n\nimport Video from './../utils/Video';\n\nimport { imgToTensor } from '../utils/imageUtilities';\nimport { saveBlob } from '../utils/io';\nimport callCallback from '../utils/callcallback';\n\nconst IMAGE_SIZE = 224;\nconst DEFAULTS = {\n  version: 1,\n  alpha: 0.25,\n  topk: 3,\n  learningRate: 0.0001,\n  hiddenUnits: 100,\n  epochs: 20,\n  numClasses: 2,\n  batchSize: 0.4,\n  layer: 'conv_pw_13_relu',\n};\n\nclass Mobilenet {\n  constructor(options, callback) {\n    this.mobilenet = mobilenet;\n    this.topKPredictions = 10;\n    this.hasAnyTrainedClass = false;\n    this.customModel = null;\n    this.epochs = options.epochs || DEFAULTS.epochs;\n    this.version = options.version || DEFAULTS.version;\n    this.hiddenUnits = options.hiddenUnits || DEFAULTS.hiddenUnits;\n    this.numClasses = options.numClasses || DEFAULTS.numClasses;\n    this.learningRate = options.learningRate || DEFAULTS.learningRate;\n    this.batchSize = options.batchSize || DEFAULTS.batchSize;\n    this.layer = options.layer || DEFAULTS.layer;\n    this.alpha = options.alpha || DEFAULTS.alpha;\n    this.isPredicting = false;\n    this.mapStringToIndex = [];\n    this.usageType = null;\n    this.ready = callCallback(this.loadModel(), callback);\n  }\n\n  async loadModel() {\n    this.mobilenet = await this.mobilenet.load(this.version, this.alpha);\n    const layer = this.mobilenet.model.getLayer(this.layer);\n    this.mobilenetFeatures = await tf.model({ inputs: this.mobilenet.model.inputs, outputs: layer.output });\n    if (this.video) {\n      await this.mobilenet.classify(imgToTensor(this.video)); // Warm up\n    }\n    return this;\n  }\n\n  classification(video, callback) {\n    this.usageType = 'classifier';\n    if (video) {\n      callCallback(this.loadVideo(video), callback);\n    }\n    return this;\n  }\n\n  regression(video, callback) {\n    this.usageType = 'regressor';\n    if (video) {\n      callCallback(this.loadVideo(video), callback);\n    }\n    return this;\n  }\n\n  async loadVideo(video) {\n    let inputVideo = null;\n\n    if (video instanceof HTMLVideoElement) {\n      inputVideo = video;\n    } else if (typeof video === 'object' && video.elt instanceof HTMLVideoElement) {\n      inputVideo = video.elt; // p5.js video element\n    }\n\n    if (inputVideo) {\n      const vid = new Video(inputVideo, IMAGE_SIZE);\n      this.video = await vid.loadVideo();\n    }\n\n    return this;\n  }\n\n  async addImage(inputOrLabel, labelOrCallback, cb) {\n    let imgToAdd;\n    let label;\n    let callback = cb;\n\n    if (inputOrLabel instanceof HTMLImageElement || inputOrLabel instanceof HTMLVideoElement) {\n      imgToAdd = inputOrLabel;\n    } else if (typeof inputOrLabel === 'object' && (inputOrLabel.elt instanceof HTMLImageElement || inputOrLabel.elt instanceof HTMLVideoElement)) {\n      imgToAdd = inputOrLabel.elt;\n    } else if (typeof inputOrLabel === 'string' || typeof inputOrLabel === 'number') {\n      imgToAdd = this.video;\n      label = inputOrLabel;\n    }\n\n    if (typeof labelOrCallback === 'string' || typeof labelOrCallback === 'number') {\n      label = labelOrCallback;\n    } else if (typeof labelOrCallback === 'function') {\n      callback = labelOrCallback;\n    }\n\n    if (typeof label === 'string') {\n      if (!this.mapStringToIndex.includes(label)) {\n        label = this.mapStringToIndex.push(label) - 1;\n      } else {\n        label = this.mapStringToIndex.indexOf(label);\n      }\n    }\n\n    return callCallback(this.addImageInternal(imgToAdd, label), callback);\n  }\n\n  async addImageInternal(imgToAdd, label) {\n    await this.ready;\n    tf.tidy(() => {\n      const imageResize = (imgToAdd === this.video) ? null : [IMAGE_SIZE, IMAGE_SIZE];\n      const processedImg = imgToTensor(imgToAdd, imageResize);\n      const prediction = this.mobilenetFeatures.predict(processedImg);\n      let y;\n      if (this.usageType === 'classifier') {\n        y = tf.tidy(() => tf.oneHot(tf.tensor1d([label], 'int32'), this.numClasses));\n      } else if (this.usageType === 'regressor') {\n        y = tf.tensor2d([[label]]);\n      }\n\n      if (this.xs == null) {\n        this.xs = tf.keep(prediction);\n        this.ys = tf.keep(y);\n        this.hasAnyTrainedClass = true;\n      } else {\n        const oldX = this.xs;\n        this.xs = tf.keep(oldX.concat(prediction, 0));\n        const oldY = this.ys;\n        this.ys = tf.keep(oldY.concat(y, 0));\n        oldX.dispose();\n        oldY.dispose();\n        y.dispose();\n      }\n    });\n    return this;\n  }\n\n  async train(onProgress) {\n    if (!this.hasAnyTrainedClass) {\n      throw new Error('Add some examples before training!');\n    }\n\n    this.isPredicting = false;\n\n    if (this.usageType === 'classifier') {\n      this.loss = 'categoricalCrossentropy';\n      this.customModel = tf.sequential({\n        layers: [\n          tf.layers.flatten({ inputShape: [7, 7, 256] }),\n          tf.layers.dense({\n            units: this.hiddenUnits,\n            activation: 'relu',\n            kernelInitializer: 'varianceScaling',\n            useBias: true,\n          }),\n          tf.layers.dense({\n            units: this.numClasses,\n            kernelInitializer: 'varianceScaling',\n            useBias: false,\n            activation: 'softmax',\n          }),\n        ],\n      });\n    } else if (this.usageType === 'regressor') {\n      this.loss = 'meanSquaredError';\n      this.customModel = tf.sequential({\n        layers: [\n          tf.layers.flatten({ inputShape: [7, 7, 256] }),\n          tf.layers.dense({\n            units: this.hiddenUnits,\n            activation: 'relu',\n            kernelInitializer: 'varianceScaling',\n            useBias: true,\n          }),\n          tf.layers.dense({\n            units: 1,\n            useBias: false,\n            kernelInitializer: 'Zeros',\n            activation: 'linear',\n          }),\n        ],\n      });\n    }\n\n    const optimizer = tf.train.adam(this.learningRate);\n    this.customModel.compile({ optimizer, loss: this.loss });\n    const batchSize = Math.floor(this.xs.shape[0] * this.batchSize);\n    if (!(batchSize > 0)) {\n      throw new Error('Batch size is 0 or NaN. Please choose a non-zero fraction.');\n    }\n\n    return this.customModel.fit(this.xs, this.ys, {\n      batchSize,\n      epochs: this.epochs,\n      callbacks: {\n        onBatchEnd: async (batch, logs) => {\n          onProgress(logs.loss.toFixed(5));\n          await tf.nextFrame();\n        },\n        onTrainEnd: () => onProgress(null),\n      },\n    });\n  }\n\n  /* eslint max-len: [\"error\", { \"code\": 180 }] */\n  async classify(inputOrCallback, cb) {\n    let imgToPredict;\n    let callback;\n\n    if (inputOrCallback instanceof HTMLImageElement || inputOrCallback instanceof HTMLVideoElement) {\n      imgToPredict = inputOrCallback;\n    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLImageElement || inputOrCallback.elt instanceof HTMLVideoElement)) {\n      imgToPredict = inputOrCallback.elt; // p5.js image element\n    } else if (typeof inputOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputOrCallback;\n    }\n\n    if (typeof cb === 'function') {\n      callback = cb;\n    }\n\n    return callCallback(this.classifyInternal(imgToPredict), callback);\n  }\n\n  async classifyInternal(imgToPredict) {\n    if (this.usageType !== 'classifier') {\n      throw new Error('Mobilenet Feature Extraction has not been set to be a classifier.');\n    }\n    await tf.nextFrame();\n    this.isPredicting = true;\n    const predictedClass = tf.tidy(() => {\n      const imageResize = (imgToPredict === this.video) ? null : [IMAGE_SIZE, IMAGE_SIZE];\n      const processedImg = imgToTensor(imgToPredict, imageResize);\n      const activation = this.mobilenetFeatures.predict(processedImg);\n      const predictions = this.customModel.predict(activation);\n      return predictions.as1D().argMax();\n    });\n    let classId = (await predictedClass.data())[0];\n    if (this.mapStringToIndex.length > 0) {\n      classId = this.mapStringToIndex[classId];\n    }\n    return classId;\n  }\n\n  /* eslint max-len: [\"error\", { \"code\": 180 }] */\n  async predict(inputOrCallback, cb) {\n    let imgToPredict;\n    let callback;\n    if (inputOrCallback instanceof HTMLImageElement || inputOrCallback instanceof HTMLVideoElement) {\n      imgToPredict = inputOrCallback;\n    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLImageElement || inputOrCallback.elt instanceof HTMLVideoElement)) {\n      imgToPredict = inputOrCallback.elt; // p5.js image element\n    } else if (typeof inputOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputOrCallback;\n    }\n\n    if (typeof cb === 'function') {\n      callback = cb;\n    }\n    return callCallback(this.predictInternal(imgToPredict), callback);\n  }\n\n  async predictInternal(imgToPredict) {\n    if (this.usageType !== 'regressor') {\n      throw new Error('Mobilenet Feature Extraction has not been set to be a regressor.');\n    }\n    await tf.nextFrame();\n    this.isPredicting = true;\n    const predictedClass = tf.tidy(() => {\n      const imageResize = (imgToPredict === this.video) ? null : [IMAGE_SIZE, IMAGE_SIZE];\n      const processedImg = imgToTensor(imgToPredict, imageResize);\n      const activation = this.mobilenetFeatures.predict(processedImg);\n      const predictions = this.customModel.predict(activation);\n      return predictions.as1D();\n    });\n    const prediction = await predictedClass.data();\n    predictedClass.dispose();\n    return prediction[0];\n  }\n\n  async load(filesOrPath = null, callback) {\n    if (typeof filesOrPath !== 'string') {\n      let model = null;\n      let weights = null;\n      Array.from(filesOrPath).forEach((file) => {\n        if (file.name.includes('.json')) {\n          model = file;\n          const fr = new FileReader();\n          fr.onload = (d) => {\n            this.mapStringToIndex = JSON.parse(d.target.result).ml5Specs.mapStringToIndex;\n          };\n          fr.readAsText(file);\n        } else if (file.name.includes('.bin')) {\n          weights = file;\n        }\n      });\n      this.customModel = await tf.loadModel(tf.io.browserFiles([model, weights]));\n    } else {\n      fetch(filesOrPath)\n        .then(r => r.json())\n        .then((r) => { this.mapStringToIndex = r.ml5Specs.mapStringToIndex; });\n      this.customModel = await tf.loadModel(filesOrPath);\n      if (callback) {\n        callback();\n      }\n    }\n    return this.customModel;\n  }\n\n  async save(callback) {\n    if (!this.customModel) {\n      throw new Error('No model found.');\n    }\n    this.customModel.save(tf.io.withSaveHandler(async (data) => {\n      this.weightsManifest = {\n        modelTopology: data.modelTopology,\n        weightsManifest: [{\n          paths: ['./model.weights.bin'],\n          weights: data.weightSpecs,\n        }],\n        ml5Specs: {\n          mapStringToIndex: this.mapStringToIndex,\n        },\n      };\n      await saveBlob(data.weightData, 'model.weights.bin', 'application/octet-stream');\n      await saveBlob(JSON.stringify(this.weightsManifest), 'model.json', 'text/plain');\n      if (callback) {\n        callback();\n      }\n    }));\n  }\n\n  infer(input, endpoint) {\n    let imgToPredict;\n    let endpointToPredict;\n    if (input instanceof HTMLImageElement || input instanceof HTMLVideoElement || input instanceof HTMLCanvasElement || input instanceof ImageData) {\n      imgToPredict = input;\n    } else if (typeof input === 'object' && (input.elt instanceof HTMLImageElement || input.elt instanceof HTMLVideoElement || input.elt instanceof HTMLCanvasElement)) {\n      imgToPredict = input.elt; // p5.js image/canvas/video element\n    } else {\n      throw new Error('No input image found.');\n    }\n    if (endpoint && typeof endpoint === 'string') {\n      endpointToPredict = endpoint;\n    } else {\n      endpointToPredict = 'conv_preds';\n    }\n    return this.mobilenet.infer(imgToPredict, endpointToPredict);\n  }\n}\n\nexport default Mobilenet;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nGeneral Feature Extractor Manager\n*/\n\nimport Mobilenet from './Mobilenet';\n\n/* eslint max-len: [\"error\", { \"code\": 180 }] */\nconst featureExtractor = (model, optionsOrCallback, cb) => {\n  let modelName;\n  if (typeof model !== 'string') {\n    throw new Error('Please specify a model to use. E.g: \"MobileNet\"');\n  } else {\n    modelName = model.toLowerCase();\n  }\n\n  let options = {};\n  let callback = cb;\n\n  if (typeof optionsOrCallback === 'object') {\n    options = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'function') {\n    callback = optionsOrCallback;\n  }\n\n  if (modelName === 'mobilenet') {\n    return new Mobilenet(options, callback);\n  }\n  throw new Error(`${modelName} is not a valid model.`);\n};\n\nexport default featureExtractor;\n","// @tensorflow/tfjs-models Copyright 2018 Google\nimport{util,tidy,keep,div}from\"@tensorflow/tfjs\";function __awaiter(t,a,e,s){return new(e||(e=Promise))(function(r,n){function i(t){try{o(s.next(t))}catch(t){n(t)}}function l(t){try{o(s.throw(t))}catch(t){n(t)}}function o(t){t.done?r(t.value):new e(function(a){a(t.value)}).then(i,l)}o((s=s.apply(t,a||[])).next())})}function __generator(t,a){var e,s,r,n,i={label:0,sent:function(){if(1&r[0])throw r[1];return r[1]},trys:[],ops:[]};return n={next:l(0),throw:l(1),return:l(2)},\"function\"==typeof Symbol&&(n[Symbol.iterator]=function(){return this}),n;function l(n){return function(l){return function(n){if(e)throw new TypeError(\"Generator is already executing.\");for(;i;)try{if(e=1,s&&(r=2&n[0]?s.return:n[0]?s.throw||((r=s.return)&&r.call(s),0):s.next)&&!(r=r.call(s,n[1])).done)return r;switch(s=0,r&&(n=[2&n[0],r.value]),n[0]){case 0:case 1:r=n;break;case 4:return i.label++,{value:n[1],done:!1};case 5:i.label++,s=n[1],n=[0];continue;case 7:n=i.ops.pop(),i.trys.pop();continue;default:if(!(r=(r=i.trys).length>0&&r[r.length-1])&&(6===n[0]||2===n[0])){i=0;continue}if(3===n[0]&&(!r||n[1]>r[0]&&n[1]<r[3])){i.label=n[1];break}if(6===n[0]&&i.label<r[1]){i.label=r[1],r=n;break}if(r&&i.label<r[2]){i.label=r[2],i.ops.push(n);break}r[2]&&i.ops.pop(),i.trys.pop();continue}n=a.call(t,i)}catch(t){n=[6,t],s=0}finally{e=r=0}if(5&n[0])throw n[1];return{value:n[0]?n[1]:void 0,done:!0}}([n,l])}}}function concatWithNulls(t,a){return null==t&&null==a?null:null==t?a.clone():null===a?t.clone():t.concat(a,0)}function topK(t,a){for(var e=[],s=0;s<t.length;s++)e.push({value:t[s],index:s});e.sort(function(t,a){return a.value-t.value});var r=new Float32Array(a),n=new Int32Array(a);for(s=0;s<a;s++)r[s]=e[s].value,n[s]=e[s].index;return{values:r,indices:n}}var KNNClassifier=function(){function t(){this.classDatasetMatrices={},this.classExampleCount={}}return t.prototype.addExample=function(t,a){var e=this;if(null==this.exampleShape&&(this.exampleShape=t.shape),!util.arraysEqual(this.exampleShape,t.shape))throw new Error(\"Example shape provided, \"+t.shape+\" does not match previously provided example shapes \"+this.exampleShape+\".\");if(!Number.isInteger(a))throw new Error(\"classIndex must be an integer, got \"+a+\".\");this.clearTrainDatasetMatrix(),tidy(function(){var s=e.normalizeVectorToUnitLength(t.flatten()),r=s.shape[0];if(null==e.classDatasetMatrices[a])e.classDatasetMatrices[a]=s.as2D(1,r);else{var n=e.classDatasetMatrices[a].as2D(e.classExampleCount[a],r).concat(s.as2D(1,r),0);e.classDatasetMatrices[a].dispose(),e.classDatasetMatrices[a]=n}keep(e.classDatasetMatrices[a]),null==e.classExampleCount[a]&&(e.classExampleCount[a]=0),e.classExampleCount[a]++})},t.prototype.similarities=function(t){var a=this;return tidy(function(){var e=a.normalizeVectorToUnitLength(t.flatten()),s=e.shape[0];if(null==a.trainDatasetMatrix){var r=null;for(var n in a.classDatasetMatrices)r=concatWithNulls(r,a.classDatasetMatrices[n]);a.trainDatasetMatrix=r}if(null==a.trainDatasetMatrix)return console.warn(\"Cannot predict without providing training examples.\"),null;keep(a.trainDatasetMatrix);var i=a.getNumExamples();return a.trainDatasetMatrix.as2D(i,s).matMul(e.as2D(s,1)).as1D()})},t.prototype.predictClass=function(t,a){return void 0===a&&(a=3),__awaiter(this,void 0,void 0,function(){var e,s,r,n,i=this;return __generator(this,function(l){switch(l.label){case 0:if(a<1)throw new Error(\"Please provide a positive integer k value to predictClass.\");if(0===this.getNumExamples())throw new Error(\"You have not added any exaples to the KNN classifier. Please add examples before calling predictClass.\");return e=tidy(function(){return i.similarities(t).asType(\"float32\")}),s=Math.min(a,this.getNumExamples()),n=topK,[4,e.data()];case 1:return r=n.apply(void 0,[l.sent(),s]).indices,e.dispose(),[2,this.calculateTopClass(r,s)]}})})},t.prototype.clearClass=function(t){if(null==this.classDatasetMatrices[t])throw new Error(\"Cannot clear invalid class ${classIndex}\");delete this.classDatasetMatrices[t],delete this.classExampleCount[t],this.clearTrainDatasetMatrix()},t.prototype.clearAllClasses=function(){for(var t in this.classDatasetMatrices)this.clearClass(+t)},t.prototype.getClassExampleCount=function(){return this.classExampleCount},t.prototype.getClassifierDataset=function(){return this.classDatasetMatrices},t.prototype.getNumClasses=function(){return Object.keys(this.classExampleCount).length},t.prototype.setClassifierDataset=function(t){for(var a in this.clearTrainDatasetMatrix(),this.classDatasetMatrices=t,t)this.classExampleCount[a]=t[a].shape[0]},t.prototype.calculateTopClass=function(t,a){var e=-1,s={};if(null==t)return{classIndex:e,confidences:s};var r=[];for(var n in this.classDatasetMatrices){var i=this.classExampleCount[n];+n>0&&(i+=r[+n-1]),r.push(i)}var l=Array(Object.keys(this.classDatasetMatrices).length).fill(0);for(n=0;n<t.length;n++)for(var o=0;o<r.length;o++)if(t[n]<r[o]){l[o]++;break}var c=0;for(var n in this.classDatasetMatrices){var u=l[n]/a;u>c&&(c=u,e=+n),s[n]=u}return{classIndex:e,confidences:s}},t.prototype.clearTrainDatasetMatrix=function(){null!=this.trainDatasetMatrix&&(this.trainDatasetMatrix.dispose(),this.trainDatasetMatrix=null)},t.prototype.normalizeVectorToUnitLength=function(t){return tidy(function(){var a=t.norm();return div(t,a)})},t.prototype.getNumExamples=function(){var t=0;for(var a in this.classDatasetMatrices)t+=this.classExampleCount[+a];return t},t.prototype.dispose=function(){for(var t in this.clearTrainDatasetMatrix(),this.classDatasetMatrices)this.classDatasetMatrices[t].dispose()},t}();function create(){return new KNNClassifier}export{KNNClassifier,create};\n","// 19.1.2.14 Object.keys(O)\nvar toObject = require('./_to-object');\nvar $keys = require('./_object-keys');\n\nrequire('./_object-sap')('keys', function () {\n  return function keys(it) {\n    return $keys(toObject(it));\n  };\n});\n","require('../../modules/es6.object.keys');\nmodule.exports = require('../../modules/_core').Object.keys;\n","var core = require('../../modules/_core');\nvar $JSON = core.JSON || (core.JSON = { stringify: JSON.stringify });\nmodule.exports = function stringify(it) { // eslint-disable-line no-unused-vars\n  return $JSON.stringify.apply($JSON, arguments);\n};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\n * A K-nearest neighbors (KNN) classifier that allows fast\n * custom model training on top of any tensor input. Useful for transfer\n * learning with an embedding from another pretrained model.\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport * as knnClassifier from '@tensorflow-models/knn-classifier';\nimport * as io from '../utils/io';\nimport callCallback from '../utils/callcallback';\n\nclass KNN {\n  constructor() {\n    this.knnClassifier = knnClassifier.create();\n    this.mapStringToIndex = [];\n  }\n\n  addExample(input, classIndexOrLabel) {\n    let classIndex;\n    let example;\n\n    if (typeof classIndexOrLabel === 'string') {\n      if (!this.mapStringToIndex.includes(classIndexOrLabel)) {\n        classIndex = this.mapStringToIndex.push(classIndexOrLabel) - 1;\n      } else {\n        classIndex = this.mapStringToIndex.indexOf(classIndexOrLabel);\n      }\n    } else if (classIndexOrLabel === 'number') {\n      classIndex = classIndexOrLabel;\n    }\n\n    if (Array.isArray(input)) {\n      example = tf.tensor(input);\n    } else {\n      example = input;\n    }\n    this.knnClassifier.addExample(example, classIndex);\n  }\n\n  async classify(input, kOrCallback, cb) {\n    let k = 3;\n    let callback = cb;\n    let example;\n\n    if (typeof kOrCallback === 'number') {\n      k = kOrCallback;\n    } else if (typeof kOrCallback === 'function') {\n      callback = kOrCallback;\n    }\n\n    if (Array.isArray(input)) {\n      example = tf.tensor(input);\n    } else {\n      example = input;\n    }\n\n    return callCallback(this.classifyInternal(example, k), callback);\n  }\n\n  async classifyInternal(input, k) {\n    const numClass = this.knnClassifier.getNumClasses();\n    if (numClass <= 0) {\n      throw new Error('There is no example in any class');\n    } else {\n      const res = await this.knnClassifier.predictClass(input, k);\n      if (this.mapStringToIndex.length > 0) {\n        if (res.classIndex || res.classIndex === 0) {\n          const label = this.mapStringToIndex[res.classIndex];\n          if (label) res.label = label;\n        }\n        if (res.confidences) {\n          res.confidencesByLabel = {};\n          const { confidences } = res;\n          const indexes = Object.keys(confidences);\n          indexes.forEach((index) => {\n            const label = this.mapStringToIndex[index];\n            res.confidencesByLabel[label] = confidences[index];\n          });\n        }\n      }\n      return res;\n    }\n  }\n\n  clearLabel(labelIndex) {\n    let classIndex;\n    if (typeof labelIndex === 'string') {\n      if (this.mapStringToIndex.includes(labelIndex)) {\n        classIndex = this.mapStringToIndex.indexOf(labelIndex);\n      }\n    } else {\n      classIndex = labelIndex;\n    }\n    this.knnClassifier.clearClass(classIndex);\n  }\n\n  clearAllLabels() {\n    this.mapStringToIndex = [];\n    this.knnClassifier.clearAllClasses();\n  }\n\n  getCountByLabel() {\n    const countByIndex = this.knnClassifier.getClassExampleCount();\n    if (this.mapStringToIndex.length > 0) {\n      const countByLabel = {};\n      Object.keys(countByIndex).forEach((key) => {\n        if (this.mapStringToIndex[key]) {\n          const label = this.mapStringToIndex[key];\n          countByLabel[label] = countByIndex[key];\n        }\n      });\n      return countByLabel;\n    }\n    return countByIndex;\n  }\n\n  getCount() {\n    return this.knnClassifier.getClassExampleCount();\n  }\n\n  getClassifierDataset() {\n    return this.knnClassifier.getClassifierDataset();\n  }\n\n  setClassifierDataset(dataset) {\n    this.knnClassifier.setClassifierDataset(dataset);\n  }\n\n  getNumLabels() {\n    return this.knnClassifier.getNumClasses();\n  }\n\n  dispose() {\n    this.knnClassifier.dispose();\n  }\n\n  async save(name) {\n    const dataset = this.knnClassifier.getClassifierDataset();\n    if (this.mapStringToIndex.length > 0) {\n      Object.keys(dataset).forEach((key) => {\n        if (this.mapStringToIndex[key]) {\n          dataset[key].label = this.mapStringToIndex[key];\n        }\n      });\n    }\n    const tensors = Object.keys(dataset).map((key) => {\n      const t = dataset[key];\n      if (t) {\n        return t.dataSync();\n      }\n      return null;\n    });\n    let fileName = 'myKNN.json';\n    if (name) {\n      fileName = name.endsWith('.json') ? name : `${name}.json`;\n    }\n    await io.saveBlob(JSON.stringify({ dataset, tensors }), fileName, 'application/octet-stream');\n  }\n\n  load(path, callback) {\n    io.loadFile(path, (err, data) => {\n      if (data) {\n        const { dataset, tensors } = data;\n        this.mapStringToIndex = Object.keys(dataset).map(key => dataset[key].label);\n        const tensorsData = tensors\n          .map((tensor, i) => {\n            if (tensor) {\n              const values = Object.keys(tensor).map(v => tensor[v]);\n              return tf.tensor(values, dataset[i].shape, dataset[i].dtype);\n            }\n            return null;\n          })\n          .reduce((acc, cur, j) => {\n            acc[j] = cur;\n            return acc;\n          }, {});\n        this.knnClassifier.setClassifierDataset(tensorsData);\n        if (callback) {\n          callback();\n        }\n      }\n    });\n  }\n}\n\nconst KNNClassifier = () => new KNN();\n\nexport default KNNClassifier;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n/* eslint-disable */\nexport default [\n    \"kit fox\",\n    \"English setter\",\n    \"Siberian husky\",\n    \"Australian terrier\",\n    \"English springer\",\n    \"grey whale\",\n    \"lesser panda\",\n    \"Egyptian cat\",\n    \"ibex\",\n    \"Persian cat\",\n    \"cougar\",\n    \"gazelle\",\n    \"porcupine\",\n    \"sea lion\",\n    \"malamute\",\n    \"badger\",\n    \"Great Dane\",\n    \"Walker hound\",\n    \"Welsh springer spaniel\",\n    \"whippet\",\n    \"Scottish deerhound\",\n    \"killer whale\",\n    \"mink\",\n    \"African elephant\",\n    \"Weimaraner\",\n    \"soft-coated wheaten terrier\",\n    \"Dandie Dinmont\",\n    \"red wolf\",\n    \"Old English sheepdog\",\n    \"jaguar\",\n    \"otterhound\",\n    \"bloodhound\",\n    \"Airedale\",\n    \"hyena\",\n    \"meerkat\",\n    \"giant schnauzer\",\n    \"titi\",\n    \"three-toed sloth\",\n    \"sorrel\",\n    \"black-footed ferret\",\n    \"dalmatian\",\n    \"black-and-tan coonhound\",\n    \"papillon\",\n    \"skunk\",\n    \"Staffordshire bullterrier\",\n    \"Mexican hairless\",\n    \"Bouvier des Flandres\",\n    \"weasel\",\n    \"miniature poodle\",\n    \"Cardigan\",\n    \"malinois\",\n    \"bighorn\",\n    \"fox squirrel\",\n    \"colobus\",\n    \"tiger cat\",\n    \"Lhasa\",\n    \"impala\",\n    \"coyote\",\n    \"Yorkshire terrier\",\n    \"Newfoundland\",\n    \"brown bear\",\n    \"red fox\",\n    \"Norwegian elkhound\",\n    \"Rottweiler\",\n    \"hartebeest\",\n    \"Saluki\",\n    \"grey fox\",\n    \"schipperke\",\n    \"Pekinese\",\n    \"Brabancon griffon\",\n    \"West Highland white terrier\",\n    \"Sealyham terrier\",\n    \"guenon\",\n    \"mongoose\",\n    \"indri\",\n    \"tiger\",\n    \"Irish wolfhound\",\n    \"wild boar\",\n    \"EntleBucher\",\n    \"zebra\",\n    \"ram\",\n    \"French bulldog\",\n    \"orangutan\",\n    \"basenji\",\n    \"leopard\",\n    \"Bernese mountain dog\",\n    \"Maltese dog\",\n    \"Norfolk terrier\",\n    \"toy terrier\",\n    \"vizsla\",\n    \"cairn\",\n    \"squirrel monkey\",\n    \"groenendael\",\n    \"clumber\",\n    \"Siamese cat\",\n    \"chimpanzee\",\n    \"komondor\",\n    \"Afghan hound\",\n    \"Japanese spaniel\",\n    \"proboscis monkey\",\n    \"guinea pig\",\n    \"white wolf\",\n    \"ice bear\",\n    \"gorilla\",\n    \"borzoi\",\n    \"toy poodle\",\n    \"Kerry blue terrier\",\n    \"ox\",\n    \"Scotch terrier\",\n    \"Tibetan mastiff\",\n    \"spider monkey\",\n    \"Doberman\",\n    \"Boston bull\",\n    \"Greater Swiss Mountain dog\",\n    \"Appenzeller\",\n    \"Shih-Tzu\",\n    \"Irish water spaniel\",\n    \"Pomeranian\",\n    \"Bedlington terrier\",\n    \"warthog\",\n    \"Arabian camel\",\n    \"siamang\",\n    \"miniature schnauzer\",\n    \"collie\",\n    \"golden retriever\",\n    \"Irish terrier\",\n    \"affenpinscher\",\n    \"Border collie\",\n    \"hare\",\n    \"boxer\",\n    \"silky terrier\",\n    \"beagle\",\n    \"Leonberg\",\n    \"German short-haired pointer\",\n    \"patas\",\n    \"dhole\",\n    \"baboon\",\n    \"macaque\",\n    \"Chesapeake Bay retriever\",\n    \"bull mastiff\",\n    \"kuvasz\",\n    \"capuchin\",\n    \"pug\",\n    \"curly-coated retriever\",\n    \"Norwich terrier\",\n    \"flat-coated retriever\",\n    \"hog\",\n    \"keeshond\",\n    \"Eskimo dog\",\n    \"Brittany spaniel\",\n    \"standard poodle\",\n    \"Lakeland terrier\",\n    \"snow leopard\",\n    \"Gordon setter\",\n    \"dingo\",\n    \"standard schnauzer\",\n    \"hamster\",\n    \"Tibetan terrier\",\n    \"Arctic fox\",\n    \"wire-haired fox terrier\",\n    \"basset\",\n    \"water buffalo\",\n    \"American black bear\",\n    \"Angora\",\n    \"bison\",\n    \"howler monkey\",\n    \"hippopotamus\",\n    \"chow\",\n    \"giant panda\",\n    \"American Staffordshire terrier\",\n    \"Shetland sheepdog\",\n    \"Great Pyrenees\",\n    \"Chihuahua\",\n    \"tabby\",\n    \"marmoset\",\n    \"Labrador retriever\",\n    \"Saint Bernard\",\n    \"armadillo\",\n    \"Samoyed\",\n    \"bluetick\",\n    \"redbone\",\n    \"polecat\",\n    \"marmot\",\n    \"kelpie\",\n    \"gibbon\",\n    \"llama\",\n    \"miniature pinscher\",\n    \"wood rabbit\",\n    \"Italian greyhound\",\n    \"lion\",\n    \"cocker spaniel\",\n    \"Irish setter\",\n    \"dugong\",\n    \"Indian elephant\",\n    \"beaver\",\n    \"Sussex spaniel\",\n    \"Pembroke\",\n    \"Blenheim spaniel\",\n    \"Madagascar cat\",\n    \"Rhodesian ridgeback\",\n    \"lynx\",\n    \"African hunting dog\",\n    \"langur\",\n    \"Ibizan hound\",\n    \"timber wolf\",\n    \"cheetah\",\n    \"English foxhound\",\n    \"briard\",\n    \"sloth bear\",\n    \"Border terrier\",\n    \"German shepherd\",\n    \"otter\",\n    \"koala\",\n    \"tusker\",\n    \"echidna\",\n    \"wallaby\",\n    \"platypus\",\n    \"wombat\",\n    \"revolver\",\n    \"umbrella\",\n    \"schooner\",\n    \"soccer ball\",\n    \"accordion\",\n    \"ant\",\n    \"starfish\",\n    \"chambered nautilus\",\n    \"grand piano\",\n    \"laptop\",\n    \"strawberry\",\n    \"airliner\",\n    \"warplane\",\n    \"airship\",\n    \"balloon\",\n    \"space shuttle\",\n    \"fireboat\",\n    \"gondola\",\n    \"speedboat\",\n    \"lifeboat\",\n    \"canoe\",\n    \"yawl\",\n    \"catamaran\",\n    \"trimaran\",\n    \"container ship\",\n    \"liner\",\n    \"pirate\",\n    \"aircraft carrier\",\n    \"submarine\",\n    \"wreck\",\n    \"half track\",\n    \"tank\",\n    \"missile\",\n    \"bobsled\",\n    \"dogsled\",\n    \"bicycle-built-for-two\",\n    \"mountain bike\",\n    \"freight car\",\n    \"passenger car\",\n    \"barrow\",\n    \"shopping cart\",\n    \"motor scooter\",\n    \"forklift\",\n    \"electric locomotive\",\n    \"steam locomotive\",\n    \"amphibian\",\n    \"ambulance\",\n    \"beach wagon\",\n    \"cab\",\n    \"convertible\",\n    \"jeep\",\n    \"limousine\",\n    \"minivan\",\n    \"Model T\",\n    \"racer\",\n    \"sports car\",\n    \"go-kart\",\n    \"golfcart\",\n    \"moped\",\n    \"snowplow\",\n    \"fire engine\",\n    \"garbage truck\",\n    \"pickup\",\n    \"tow truck\",\n    \"trailer truck\",\n    \"moving van\",\n    \"police van\",\n    \"recreational vehicle\",\n    \"streetcar\",\n    \"snowmobile\",\n    \"tractor\",\n    \"mobile home\",\n    \"tricycle\",\n    \"unicycle\",\n    \"horse cart\",\n    \"jinrikisha\",\n    \"oxcart\",\n    \"bassinet\",\n    \"cradle\",\n    \"crib\",\n    \"four-poster\",\n    \"bookcase\",\n    \"china cabinet\",\n    \"medicine chest\",\n    \"chiffonier\",\n    \"table lamp\",\n    \"file\",\n    \"park bench\",\n    \"barber chair\",\n    \"throne\",\n    \"folding chair\",\n    \"rocking chair\",\n    \"studio couch\",\n    \"toilet seat\",\n    \"desk\",\n    \"pool table\",\n    \"dining table\",\n    \"entertainment center\",\n    \"wardrobe\",\n    \"Granny Smith\",\n    \"orange\",\n    \"lemon\",\n    \"fig\",\n    \"pineapple\",\n    \"banana\",\n    \"jackfruit\",\n    \"custard apple\",\n    \"pomegranate\",\n    \"acorn\",\n    \"hip\",\n    \"ear\",\n    \"rapeseed\",\n    \"corn\",\n    \"buckeye\",\n    \"organ\",\n    \"upright\",\n    \"chime\",\n    \"drum\",\n    \"gong\",\n    \"maraca\",\n    \"marimba\",\n    \"steel drum\",\n    \"banjo\",\n    \"cello\",\n    \"violin\",\n    \"harp\",\n    \"acoustic guitar\",\n    \"electric guitar\",\n    \"cornet\",\n    \"French horn\",\n    \"trombone\",\n    \"harmonica\",\n    \"ocarina\",\n    \"panpipe\",\n    \"bassoon\",\n    \"oboe\",\n    \"sax\",\n    \"flute\",\n    \"daisy\",\n    \"yellow lady's slipper\",\n    \"cliff\",\n    \"valley\",\n    \"alp\",\n    \"volcano\",\n    \"promontory\",\n    \"sandbar\",\n    \"coral reef\",\n    \"lakeside\",\n    \"seashore\",\n    \"geyser\",\n    \"hatchet\",\n    \"cleaver\",\n    \"letter opener\",\n    \"plane\",\n    \"power drill\",\n    \"lawn mower\",\n    \"hammer\",\n    \"corkscrew\",\n    \"can opener\",\n    \"plunger\",\n    \"screwdriver\",\n    \"shovel\",\n    \"plow\",\n    \"chain saw\",\n    \"cock\",\n    \"hen\",\n    \"ostrich\",\n    \"brambling\",\n    \"goldfinch\",\n    \"house finch\",\n    \"junco\",\n    \"indigo bunting\",\n    \"robin\",\n    \"bulbul\",\n    \"jay\",\n    \"magpie\",\n    \"chickadee\",\n    \"water ouzel\",\n    \"kite\",\n    \"bald eagle\",\n    \"vulture\",\n    \"great grey owl\",\n    \"black grouse\",\n    \"ptarmigan\",\n    \"ruffed grouse\",\n    \"prairie chicken\",\n    \"peacock\",\n    \"quail\",\n    \"partridge\",\n    \"African grey\",\n    \"macaw\",\n    \"sulphur-crested cockatoo\",\n    \"lorikeet\",\n    \"coucal\",\n    \"bee eater\",\n    \"hornbill\",\n    \"hummingbird\",\n    \"jacamar\",\n    \"toucan\",\n    \"drake\",\n    \"red-breasted merganser\",\n    \"goose\",\n    \"black swan\",\n    \"white stork\",\n    \"black stork\",\n    \"spoonbill\",\n    \"flamingo\",\n    \"American egret\",\n    \"little blue heron\",\n    \"bittern\",\n    \"crane\",\n    \"limpkin\",\n    \"American coot\",\n    \"bustard\",\n    \"ruddy turnstone\",\n    \"red-backed sandpiper\",\n    \"redshank\",\n    \"dowitcher\",\n    \"oystercatcher\",\n    \"European gallinule\",\n    \"pelican\",\n    \"king penguin\",\n    \"albatross\",\n    \"great white shark\",\n    \"tiger shark\",\n    \"hammerhead\",\n    \"electric ray\",\n    \"stingray\",\n    \"barracouta\",\n    \"coho\",\n    \"tench\",\n    \"goldfish\",\n    \"eel\",\n    \"rock beauty\",\n    \"anemone fish\",\n    \"lionfish\",\n    \"puffer\",\n    \"sturgeon\",\n    \"gar\",\n    \"loggerhead\",\n    \"leatherback turtle\",\n    \"mud turtle\",\n    \"terrapin\",\n    \"box turtle\",\n    \"banded gecko\",\n    \"common iguana\",\n    \"American chameleon\",\n    \"whiptail\",\n    \"agama\",\n    \"frilled lizard\",\n    \"alligator lizard\",\n    \"Gila monster\",\n    \"green lizard\",\n    \"African chameleon\",\n    \"Komodo dragon\",\n    \"triceratops\",\n    \"African crocodile\",\n    \"American alligator\",\n    \"thunder snake\",\n    \"ringneck snake\",\n    \"hognose snake\",\n    \"green snake\",\n    \"king snake\",\n    \"garter snake\",\n    \"water snake\",\n    \"vine snake\",\n    \"night snake\",\n    \"boa constrictor\",\n    \"rock python\",\n    \"Indian cobra\",\n    \"green mamba\",\n    \"sea snake\",\n    \"horned viper\",\n    \"diamondback\",\n    \"sidewinder\",\n    \"European fire salamander\",\n    \"common newt\",\n    \"eft\",\n    \"spotted salamander\",\n    \"axolotl\",\n    \"bullfrog\",\n    \"tree frog\",\n    \"tailed frog\",\n    \"whistle\",\n    \"wing\",\n    \"paintbrush\",\n    \"hand blower\",\n    \"oxygen mask\",\n    \"snorkel\",\n    \"loudspeaker\",\n    \"microphone\",\n    \"screen\",\n    \"mouse\",\n    \"electric fan\",\n    \"oil filter\",\n    \"strainer\",\n    \"space heater\",\n    \"stove\",\n    \"guillotine\",\n    \"barometer\",\n    \"rule\",\n    \"odometer\",\n    \"scale\",\n    \"analog clock\",\n    \"digital clock\",\n    \"wall clock\",\n    \"hourglass\",\n    \"sundial\",\n    \"parking meter\",\n    \"stopwatch\",\n    \"digital watch\",\n    \"stethoscope\",\n    \"syringe\",\n    \"magnetic compass\",\n    \"binoculars\",\n    \"projector\",\n    \"sunglasses\",\n    \"loupe\",\n    \"radio telescope\",\n    \"bow\",\n    \"cannon\",\n    \"assault rifle\",\n    \"rifle\",\n    \"projectile\",\n    \"computer keyboard\",\n    \"typewriter keyboard\",\n    \"crane\",\n    \"lighter\",\n    \"abacus\",\n    \"cash machine\",\n    \"slide rule\",\n    \"desktop computer\",\n    \"hand-held computer\",\n    \"notebook\",\n    \"web site\",\n    \"harvester\",\n    \"thresher\",\n    \"printer\",\n    \"slot\",\n    \"vending machine\",\n    \"sewing machine\",\n    \"joystick\",\n    \"switch\",\n    \"hook\",\n    \"car wheel\",\n    \"paddlewheel\",\n    \"pinwheel\",\n    \"potter's wheel\",\n    \"gas pump\",\n    \"carousel\",\n    \"swing\",\n    \"reel\",\n    \"radiator\",\n    \"puck\",\n    \"hard disc\",\n    \"sunglass\",\n    \"pick\",\n    \"car mirror\",\n    \"solar dish\",\n    \"remote control\",\n    \"disk brake\",\n    \"buckle\",\n    \"hair slide\",\n    \"knot\",\n    \"combination lock\",\n    \"padlock\",\n    \"nail\",\n    \"safety pin\",\n    \"screw\",\n    \"muzzle\",\n    \"seat belt\",\n    \"ski\",\n    \"candle\",\n    \"jack-o'-lantern\",\n    \"spotlight\",\n    \"torch\",\n    \"neck brace\",\n    \"pier\",\n    \"tripod\",\n    \"maypole\",\n    \"mousetrap\",\n    \"spider web\",\n    \"trilobite\",\n    \"harvestman\",\n    \"scorpion\",\n    \"black and gold garden spider\",\n    \"barn spider\",\n    \"garden spider\",\n    \"black widow\",\n    \"tarantula\",\n    \"wolf spider\",\n    \"tick\",\n    \"centipede\",\n    \"isopod\",\n    \"Dungeness crab\",\n    \"rock crab\",\n    \"fiddler crab\",\n    \"king crab\",\n    \"American lobster\",\n    \"spiny lobster\",\n    \"crayfish\",\n    \"hermit crab\",\n    \"tiger beetle\",\n    \"ladybug\",\n    \"ground beetle\",\n    \"long-horned beetle\",\n    \"leaf beetle\",\n    \"dung beetle\",\n    \"rhinoceros beetle\",\n    \"weevil\",\n    \"fly\",\n    \"bee\",\n    \"grasshopper\",\n    \"cricket\",\n    \"walking stick\",\n    \"cockroach\",\n    \"mantis\",\n    \"cicada\",\n    \"leafhopper\",\n    \"lacewing\",\n    \"dragonfly\",\n    \"damselfly\",\n    \"admiral\",\n    \"ringlet\",\n    \"monarch\",\n    \"cabbage butterfly\",\n    \"sulphur butterfly\",\n    \"lycaenid\",\n    \"jellyfish\",\n    \"sea anemone\",\n    \"brain coral\",\n    \"flatworm\",\n    \"nematode\",\n    \"conch\",\n    \"snail\",\n    \"slug\",\n    \"sea slug\",\n    \"chiton\",\n    \"sea urchin\",\n    \"sea cucumber\",\n    \"iron\",\n    \"espresso maker\",\n    \"microwave\",\n    \"Dutch oven\",\n    \"rotisserie\",\n    \"toaster\",\n    \"waffle iron\",\n    \"vacuum\",\n    \"dishwasher\",\n    \"refrigerator\",\n    \"washer\",\n    \"Crock Pot\",\n    \"frying pan\",\n    \"wok\",\n    \"caldron\",\n    \"coffeepot\",\n    \"teapot\",\n    \"spatula\",\n    \"altar\",\n    \"triumphal arch\",\n    \"patio\",\n    \"steel arch bridge\",\n    \"suspension bridge\",\n    \"viaduct\",\n    \"barn\",\n    \"greenhouse\",\n    \"palace\",\n    \"monastery\",\n    \"library\",\n    \"apiary\",\n    \"boathouse\",\n    \"church\",\n    \"mosque\",\n    \"stupa\",\n    \"planetarium\",\n    \"restaurant\",\n    \"cinema\",\n    \"home theater\",\n    \"lumbermill\",\n    \"coil\",\n    \"obelisk\",\n    \"totem pole\",\n    \"castle\",\n    \"prison\",\n    \"grocery store\",\n    \"bakery\",\n    \"barbershop\",\n    \"bookshop\",\n    \"butcher shop\",\n    \"confectionery\",\n    \"shoe shop\",\n    \"tobacco shop\",\n    \"toyshop\",\n    \"fountain\",\n    \"cliff dwelling\",\n    \"yurt\",\n    \"dock\",\n    \"brass\",\n    \"megalith\",\n    \"bannister\",\n    \"breakwater\",\n    \"dam\",\n    \"chainlink fence\",\n    \"picket fence\",\n    \"worm fence\",\n    \"stone wall\",\n    \"grille\",\n    \"sliding door\",\n    \"turnstile\",\n    \"mountain tent\",\n    \"scoreboard\",\n    \"honeycomb\",\n    \"plate rack\",\n    \"pedestal\",\n    \"beacon\",\n    \"mashed potato\",\n    \"bell pepper\",\n    \"head cabbage\",\n    \"broccoli\",\n    \"cauliflower\",\n    \"zucchini\",\n    \"spaghetti squash\",\n    \"acorn squash\",\n    \"butternut squash\",\n    \"cucumber\",\n    \"artichoke\",\n    \"cardoon\",\n    \"mushroom\",\n    \"shower curtain\",\n    \"jean\",\n    \"carton\",\n    \"handkerchief\",\n    \"sandal\",\n    \"ashcan\",\n    \"safe\",\n    \"plate\",\n    \"necklace\",\n    \"croquet ball\",\n    \"fur coat\",\n    \"thimble\",\n    \"pajama\",\n    \"running shoe\",\n    \"cocktail shaker\",\n    \"chest\",\n    \"manhole cover\",\n    \"modem\",\n    \"tub\",\n    \"tray\",\n    \"balance beam\",\n    \"bagel\",\n    \"prayer rug\",\n    \"kimono\",\n    \"hot pot\",\n    \"whiskey jug\",\n    \"knee pad\",\n    \"book jacket\",\n    \"spindle\",\n    \"ski mask\",\n    \"beer bottle\",\n    \"crash helmet\",\n    \"bottlecap\",\n    \"tile roof\",\n    \"mask\",\n    \"maillot\",\n    \"Petri dish\",\n    \"football helmet\",\n    \"bathing cap\",\n    \"teddy\",\n    \"holster\",\n    \"pop bottle\",\n    \"photocopier\",\n    \"vestment\",\n    \"crossword puzzle\",\n    \"golf ball\",\n    \"trifle\",\n    \"suit\",\n    \"water tower\",\n    \"feather boa\",\n    \"cloak\",\n    \"red wine\",\n    \"drumstick\",\n    \"shield\",\n    \"Christmas stocking\",\n    \"hoopskirt\",\n    \"menu\",\n    \"stage\",\n    \"bonnet\",\n    \"meat loaf\",\n    \"baseball\",\n    \"face powder\",\n    \"scabbard\",\n    \"sunscreen\",\n    \"beer glass\",\n    \"hen-of-the-woods\",\n    \"guacamole\",\n    \"lampshade\",\n    \"wool\",\n    \"hay\",\n    \"bow tie\",\n    \"mailbag\",\n    \"water jug\",\n    \"bucket\",\n    \"dishrag\",\n    \"soup bowl\",\n    \"eggnog\",\n    \"mortar\",\n    \"trench coat\",\n    \"paddle\",\n    \"chain\",\n    \"swab\",\n    \"mixing bowl\",\n    \"potpie\",\n    \"wine bottle\",\n    \"shoji\",\n    \"bulletproof vest\",\n    \"drilling platform\",\n    \"binder\",\n    \"cardigan\",\n    \"sweatshirt\",\n    \"pot\",\n    \"birdhouse\",\n    \"hamper\",\n    \"ping-pong ball\",\n    \"pencil box\",\n    \"pay-phone\",\n    \"consomme\",\n    \"apron\",\n    \"punching bag\",\n    \"backpack\",\n    \"groom\",\n    \"bearskin\",\n    \"pencil sharpener\",\n    \"broom\",\n    \"mosquito net\",\n    \"abaya\",\n    \"mortarboard\",\n    \"poncho\",\n    \"crutch\",\n    \"Polaroid camera\",\n    \"space bar\",\n    \"cup\",\n    \"racket\",\n    \"traffic light\",\n    \"quill\",\n    \"radio\",\n    \"dough\",\n    \"cuirass\",\n    \"military uniform\",\n    \"lipstick\",\n    \"shower cap\",\n    \"monitor\",\n    \"oscilloscope\",\n    \"mitten\",\n    \"brassiere\",\n    \"French loaf\",\n    \"vase\",\n    \"milk can\",\n    \"rugby ball\",\n    \"paper towel\",\n    \"earthstar\",\n    \"envelope\",\n    \"miniskirt\",\n    \"cowboy hat\",\n    \"trolleybus\",\n    \"perfume\",\n    \"bathtub\",\n    \"hotdog\",\n    \"coral fungus\",\n    \"bullet train\",\n    \"pillow\",\n    \"toilet tissue\",\n    \"cassette\",\n    \"carpenter's kit\",\n    \"ladle\",\n    \"stinkhorn\",\n    \"lotion\",\n    \"hair spray\",\n    \"academic gown\",\n    \"dome\",\n    \"crate\",\n    \"wig\",\n    \"burrito\",\n    \"pill bottle\",\n    \"chain mail\",\n    \"theater curtain\",\n    \"window shade\",\n    \"barrel\",\n    \"washbasin\",\n    \"ballpoint\",\n    \"basketball\",\n    \"bath towel\",\n    \"cowboy boot\",\n    \"gown\",\n    \"window screen\",\n    \"agaric\",\n    \"cellular telephone\",\n    \"nipple\",\n    \"barbell\",\n    \"mailbox\",\n    \"lab coat\",\n    \"fire screen\",\n    \"minibus\",\n    \"packet\",\n    \"maze\",\n    \"pole\",\n    \"horizontal bar\",\n    \"sombrero\",\n    \"pickelhaube\",\n    \"rain barrel\",\n    \"wallet\",\n    \"cassette player\",\n    \"comic book\",\n    \"piggy bank\",\n    \"street sign\",\n    \"bell cote\",\n    \"fountain pen\",\n    \"Windsor tie\",\n    \"volleyball\",\n    \"overskirt\",\n    \"sarong\",\n    \"purse\",\n    \"bolo tie\",\n    \"bib\",\n    \"parachute\",\n    \"sleeping bag\",\n    \"television\",\n    \"swimming trunks\",\n    \"measuring cup\",\n    \"espresso\",\n    \"pizza\",\n    \"breastplate\",\n    \"shopping basket\",\n    \"wooden spoon\",\n    \"saltshaker\",\n    \"chocolate sauce\",\n    \"ballplayer\",\n    \"goblet\",\n    \"gyromitra\",\n    \"stretcher\",\n    \"water bottle\",\n    \"dial telephone\",\n    \"soap dispenser\",\n    \"jersey\",\n    \"school bus\",\n    \"jigsaw puzzle\",\n    \"plastic bag\",\n    \"reflex camera\",\n    \"diaper\",\n    \"Band Aid\",\n    \"ice lolly\",\n    \"velvet\",\n    \"tennis ball\",\n    \"gasmask\",\n    \"doormat\",\n    \"Loafer\",\n    \"ice cream\",\n    \"pretzel\",\n    \"quilt\",\n    \"maillot\",\n    \"tape player\",\n    \"clog\",\n    \"iPod\",\n    \"bolete\",\n    \"scuba diver\",\n    \"pitcher\",\n    \"matchstick\",\n    \"bikini\",\n    \"sock\",\n    \"CD player\",\n    \"lens cap\",\n    \"thatch\",\n    \"vault\",\n    \"beaker\",\n    \"bubble\",\n    \"cheeseburger\",\n    \"parallel bars\",\n    \"flagpole\",\n    \"coffee mug\",\n    \"rubber eraser\",\n    \"stole\",\n    \"carbonara\",\n    \"dumbbell\",\n    \n]","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\nimport IMAGENET_CLASSES_DARKNET from '../utils/IMAGENET_CLASSES_DARKNET';\n\nconst DEFAULTS = {\n  DARKNET_URL: 'https://rawgit.com/ml5js/ml5-data-and-models/master/models/darknetclassifier/darknetreference/model.json',\n  DARKNET_TINY_URL: 'https://rawgit.com/ml5js/ml5-data-and-models/master/models/darknetclassifier/darknettiny/model.json',\n  IMAGE_SIZE_DARKNET: 256,\n  IMAGE_SIZE_DARKNET_TINY: 224,\n};\n\nasync function getTopKClasses(logits, topK) {\n  const values = await logits.data();\n  const valuesAndIndices = [];\n  for (let i = 0; i < values.length; i += 1) {\n    valuesAndIndices.push({\n      value: values[i],\n      index: i,\n    });\n  }\n  valuesAndIndices.sort((a, b) => b.value - a.value);\n\n  const topkValues = new Float32Array(topK);\n  const topkIndices = new Int32Array(topK);\n  for (let i = 0; i < topK; i += 1) {\n    topkValues[i] = valuesAndIndices[i].value;\n    topkIndices[i] = valuesAndIndices[i].index;\n  }\n\n  const topClassesAndProbs = [];\n  for (let i = 0; i < topkIndices.length; i += 1) {\n    topClassesAndProbs.push({\n      className: IMAGENET_CLASSES_DARKNET[topkIndices[i]],\n      probability: topkValues[i],\n    });\n  }\n  return topClassesAndProbs;\n}\n\nfunction preProcess(img, size) {\n  let image;\n  if (!(img instanceof tf.Tensor)) {\n    if (img instanceof HTMLImageElement || img instanceof HTMLVideoElement) {\n      image = tf.fromPixels(img);\n    } else if (typeof img === 'object' && (img.elt instanceof HTMLImageElement || img.elt instanceof HTMLVideoElement)) {\n      image = tf.fromPixels(img.elt); // Handle p5.js image and video.\n    }\n  } else {\n    image = img;\n  }\n  const normalized = image.toFloat().div(tf.scalar(255));\n  let resized = normalized;\n  if (normalized.shape[0] !== size || normalized.shape[1] !== size) {\n    const alignCorners = true;\n    resized = tf.image.resizeBilinear(normalized, [size, size], alignCorners);\n  }\n  const batched = resized.reshape([1, size, size, 3]);\n  return batched;\n}\n\nexport class Darknet {\n  constructor(version) {\n    this.version = version;\n    switch (this.version) {\n      case 'reference':\n        this.imgSize = DEFAULTS.IMAGE_SIZE_DARKNET;\n        break;\n      case 'tiny':\n        this.imgSize = DEFAULTS.IMAGE_SIZE_DARKNET_TINY;\n        break;\n      default:\n        break;\n    }\n  }\n\n  async load() {\n    switch (this.version) {\n      case 'reference':\n        this.model = await tf.loadModel(DEFAULTS.DARKNET_URL);\n        break;\n      case 'tiny':\n        this.model = await tf.loadModel(DEFAULTS.DARKNET_TINY_URL);\n        break;\n      default:\n        break;\n    }\n\n    // Warmup the model.\n    const result = tf.tidy(() => this.model.predict(tf.zeros([1, this.imgSize, this.imgSize, 3])));\n    await result.data();\n    result.dispose();\n  }\n\n  async classify(img, topk = 3) {\n    const logits = tf.tidy(() => {\n      const imgData = preProcess(img, this.imgSize);\n      const predictions = this.model.predict(imgData);\n      return tf.softmax(predictions);\n    });\n    const classes = await getTopKClasses(logits, topk);\n    logits.dispose();\n    return classes;\n  }\n}\n\nexport async function load(version) {\n  if (version !== 'reference' && version !== 'tiny') {\n    throw new Error('Please select a version: darknet-reference or darknet-tiny');\n  }\n\n  const darknet = new Darknet(version);\n  await darknet.load();\n  return darknet;\n}\n","require('./_wks-define')('observable');\n","require('./_wks-define')('asyncIterator');\n","// fallback for IE11 buggy Object.getOwnPropertyNames with iframe and window\nvar toIObject = require('./_to-iobject');\nvar gOPN = require('./_object-gopn').f;\nvar toString = {}.toString;\n\nvar windowNames = typeof window == 'object' && window && Object.getOwnPropertyNames\n  ? Object.getOwnPropertyNames(window) : [];\n\nvar getWindowNames = function (it) {\n  try {\n    return gOPN(it);\n  } catch (e) {\n    return windowNames.slice();\n  }\n};\n\nmodule.exports.f = function getOwnPropertyNames(it) {\n  return windowNames && toString.call(it) == '[object Window]' ? getWindowNames(it) : gOPN(toIObject(it));\n};\n","// all enumerable object keys, includes symbols\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nmodule.exports = function (it) {\n  var result = getKeys(it);\n  var getSymbols = gOPS.f;\n  if (getSymbols) {\n    var symbols = getSymbols(it);\n    var isEnum = pIE.f;\n    var i = 0;\n    var key;\n    while (symbols.length > i) if (isEnum.call(it, key = symbols[i++])) result.push(key);\n  } return result;\n};\n","'use strict';\n// ECMAScript 6 symbols shim\nvar global = require('./_global');\nvar has = require('./_has');\nvar DESCRIPTORS = require('./_descriptors');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar META = require('./_meta').KEY;\nvar $fails = require('./_fails');\nvar shared = require('./_shared');\nvar setToStringTag = require('./_set-to-string-tag');\nvar uid = require('./_uid');\nvar wks = require('./_wks');\nvar wksExt = require('./_wks-ext');\nvar wksDefine = require('./_wks-define');\nvar enumKeys = require('./_enum-keys');\nvar isArray = require('./_is-array');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar createDesc = require('./_property-desc');\nvar _create = require('./_object-create');\nvar gOPNExt = require('./_object-gopn-ext');\nvar $GOPD = require('./_object-gopd');\nvar $DP = require('./_object-dp');\nvar $keys = require('./_object-keys');\nvar gOPD = $GOPD.f;\nvar dP = $DP.f;\nvar gOPN = gOPNExt.f;\nvar $Symbol = global.Symbol;\nvar $JSON = global.JSON;\nvar _stringify = $JSON && $JSON.stringify;\nvar PROTOTYPE = 'prototype';\nvar HIDDEN = wks('_hidden');\nvar TO_PRIMITIVE = wks('toPrimitive');\nvar isEnum = {}.propertyIsEnumerable;\nvar SymbolRegistry = shared('symbol-registry');\nvar AllSymbols = shared('symbols');\nvar OPSymbols = shared('op-symbols');\nvar ObjectProto = Object[PROTOTYPE];\nvar USE_NATIVE = typeof $Symbol == 'function';\nvar QObject = global.QObject;\n// Don't use setters in Qt Script, https://github.com/zloirock/core-js/issues/173\nvar setter = !QObject || !QObject[PROTOTYPE] || !QObject[PROTOTYPE].findChild;\n\n// fallback for old Android, https://code.google.com/p/v8/issues/detail?id=687\nvar setSymbolDesc = DESCRIPTORS && $fails(function () {\n  return _create(dP({}, 'a', {\n    get: function () { return dP(this, 'a', { value: 7 }).a; }\n  })).a != 7;\n}) ? function (it, key, D) {\n  var protoDesc = gOPD(ObjectProto, key);\n  if (protoDesc) delete ObjectProto[key];\n  dP(it, key, D);\n  if (protoDesc && it !== ObjectProto) dP(ObjectProto, key, protoDesc);\n} : dP;\n\nvar wrap = function (tag) {\n  var sym = AllSymbols[tag] = _create($Symbol[PROTOTYPE]);\n  sym._k = tag;\n  return sym;\n};\n\nvar isSymbol = USE_NATIVE && typeof $Symbol.iterator == 'symbol' ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  return it instanceof $Symbol;\n};\n\nvar $defineProperty = function defineProperty(it, key, D) {\n  if (it === ObjectProto) $defineProperty(OPSymbols, key, D);\n  anObject(it);\n  key = toPrimitive(key, true);\n  anObject(D);\n  if (has(AllSymbols, key)) {\n    if (!D.enumerable) {\n      if (!has(it, HIDDEN)) dP(it, HIDDEN, createDesc(1, {}));\n      it[HIDDEN][key] = true;\n    } else {\n      if (has(it, HIDDEN) && it[HIDDEN][key]) it[HIDDEN][key] = false;\n      D = _create(D, { enumerable: createDesc(0, false) });\n    } return setSymbolDesc(it, key, D);\n  } return dP(it, key, D);\n};\nvar $defineProperties = function defineProperties(it, P) {\n  anObject(it);\n  var keys = enumKeys(P = toIObject(P));\n  var i = 0;\n  var l = keys.length;\n  var key;\n  while (l > i) $defineProperty(it, key = keys[i++], P[key]);\n  return it;\n};\nvar $create = function create(it, P) {\n  return P === undefined ? _create(it) : $defineProperties(_create(it), P);\n};\nvar $propertyIsEnumerable = function propertyIsEnumerable(key) {\n  var E = isEnum.call(this, key = toPrimitive(key, true));\n  if (this === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return false;\n  return E || !has(this, key) || !has(AllSymbols, key) || has(this, HIDDEN) && this[HIDDEN][key] ? E : true;\n};\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(it, key) {\n  it = toIObject(it);\n  key = toPrimitive(key, true);\n  if (it === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return;\n  var D = gOPD(it, key);\n  if (D && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) D.enumerable = true;\n  return D;\n};\nvar $getOwnPropertyNames = function getOwnPropertyNames(it) {\n  var names = gOPN(toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (!has(AllSymbols, key = names[i++]) && key != HIDDEN && key != META) result.push(key);\n  } return result;\n};\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(it) {\n  var IS_OP = it === ObjectProto;\n  var names = gOPN(IS_OP ? OPSymbols : toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (has(AllSymbols, key = names[i++]) && (IS_OP ? has(ObjectProto, key) : true)) result.push(AllSymbols[key]);\n  } return result;\n};\n\n// 19.4.1.1 Symbol([description])\nif (!USE_NATIVE) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor!');\n    var tag = uid(arguments.length > 0 ? arguments[0] : undefined);\n    var $set = function (value) {\n      if (this === ObjectProto) $set.call(OPSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDesc(this, tag, createDesc(1, value));\n    };\n    if (DESCRIPTORS && setter) setSymbolDesc(ObjectProto, tag, { configurable: true, set: $set });\n    return wrap(tag);\n  };\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return this._k;\n  });\n\n  $GOPD.f = $getOwnPropertyDescriptor;\n  $DP.f = $defineProperty;\n  require('./_object-gopn').f = gOPNExt.f = $getOwnPropertyNames;\n  require('./_object-pie').f = $propertyIsEnumerable;\n  require('./_object-gops').f = $getOwnPropertySymbols;\n\n  if (DESCRIPTORS && !require('./_library')) {\n    redefine(ObjectProto, 'propertyIsEnumerable', $propertyIsEnumerable, true);\n  }\n\n  wksExt.f = function (name) {\n    return wrap(wks(name));\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Symbol: $Symbol });\n\nfor (var es6Symbols = (\n  // 19.4.2.2, 19.4.2.3, 19.4.2.4, 19.4.2.6, 19.4.2.8, 19.4.2.9, 19.4.2.10, 19.4.2.11, 19.4.2.12, 19.4.2.13, 19.4.2.14\n  'hasInstance,isConcatSpreadable,iterator,match,replace,search,species,split,toPrimitive,toStringTag,unscopables'\n).split(','), j = 0; es6Symbols.length > j;)wks(es6Symbols[j++]);\n\nfor (var wellKnownSymbols = $keys(wks.store), k = 0; wellKnownSymbols.length > k;) wksDefine(wellKnownSymbols[k++]);\n\n$export($export.S + $export.F * !USE_NATIVE, 'Symbol', {\n  // 19.4.2.1 Symbol.for(key)\n  'for': function (key) {\n    return has(SymbolRegistry, key += '')\n      ? SymbolRegistry[key]\n      : SymbolRegistry[key] = $Symbol(key);\n  },\n  // 19.4.2.5 Symbol.keyFor(sym)\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol!');\n    for (var key in SymbolRegistry) if (SymbolRegistry[key] === sym) return key;\n  },\n  useSetter: function () { setter = true; },\n  useSimple: function () { setter = false; }\n});\n\n$export($export.S + $export.F * !USE_NATIVE, 'Object', {\n  // 19.1.2.2 Object.create(O [, Properties])\n  create: $create,\n  // 19.1.2.4 Object.defineProperty(O, P, Attributes)\n  defineProperty: $defineProperty,\n  // 19.1.2.3 Object.defineProperties(O, Properties)\n  defineProperties: $defineProperties,\n  // 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor,\n  // 19.1.2.7 Object.getOwnPropertyNames(O)\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // 19.1.2.8 Object.getOwnPropertySymbols(O)\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// 24.3.2 JSON.stringify(value [, replacer [, space]])\n$JSON && $export($export.S + $export.F * (!USE_NATIVE || $fails(function () {\n  var S = $Symbol();\n  // MS Edge converts symbol values to JSON as {}\n  // WebKit converts symbol values to JSON as null\n  // V8 throws on boxed symbols\n  return _stringify([S]) != '[null]' || _stringify({ a: S }) != '{}' || _stringify(Object(S)) != '{}';\n})), 'JSON', {\n  stringify: function stringify(it) {\n    var args = [it];\n    var i = 1;\n    var replacer, $replacer;\n    while (arguments.length > i) args.push(arguments[i++]);\n    $replacer = replacer = args[1];\n    if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n    if (!isArray(replacer)) replacer = function (key, value) {\n      if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n      if (!isSymbol(value)) return value;\n    };\n    args[1] = replacer;\n    return _stringify.apply($JSON, args);\n  }\n});\n\n// 19.4.3.4 Symbol.prototype[@@toPrimitive](hint)\n$Symbol[PROTOTYPE][TO_PRIMITIVE] || require('./_hide')($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n// 19.4.3.5 Symbol.prototype[@@toStringTag]\nsetToStringTag($Symbol, 'Symbol');\n// 20.2.1.9 Math[@@toStringTag]\nsetToStringTag(Math, 'Math', true);\n// 24.3.3 JSON[@@toStringTag]\nsetToStringTag(global.JSON, 'JSON', true);\n","require('../../modules/es6.symbol');\nrequire('../../modules/es6.object.to-string');\nrequire('../../modules/es7.symbol.async-iterator');\nrequire('../../modules/es7.symbol.observable');\nmodule.exports = require('../../modules/_core').Symbol;\n","module.exports = { \"default\": require(\"core-js/library/fn/symbol\"), __esModule: true };","require('../../modules/es6.string.iterator');\nrequire('../../modules/web.dom.iterable');\nmodule.exports = require('../../modules/_wks-ext').f('iterator');\n","module.exports = { \"default\": require(\"core-js/library/fn/symbol/iterator\"), __esModule: true };","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nImage Classifier using pre-trained networks\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport * as mobilenet from '@tensorflow-models/mobilenet';\nimport * as darknet from './darknet';\nimport callCallback from '../utils/callcallback';\n\nconst DEFAULTS = {\n  mobilenet: {\n    version: 1,\n    alpha: 1.0,\n    topk: 3,\n  },\n};\n\nclass ImageClassifier {\n  constructor(modelName, video, options, callback) {\n    this.modelName = modelName;\n    this.video = video;\n    this.model = null;\n    switch (this.modelName) {\n      case 'mobilenet':\n        this.modelToUse = mobilenet;\n        this.version = options.version || DEFAULTS.mobilenet.version;\n        this.alpha = options.alpha || DEFAULTS.mobilenet.alpha;\n        this.topk = options.topk || DEFAULTS.mobilenet.topk;\n        break;\n      case 'darknet':\n        this.version = 'reference'; // this a 28mb model\n        this.modelToUse = darknet;\n        break;\n      case 'darknet-tiny':\n        this.version = 'tiny'; // this a 4mb model\n        this.modelToUse = darknet;\n        break;\n      default:\n        this.modelToUse = null;\n    }\n    // Load the model\n    this.ready = callCallback(this.loadModel(), callback);\n  }\n\n  async loadModel() {\n    this.model = await this.modelToUse.load(this.version, this.alpha);\n    return this;\n  }\n\n  async predictInternal(imgToPredict, numberOfClasses) {\n    // Wait for the model to be ready\n    await this.ready;\n    await tf.nextFrame();\n\n    if (this.video && this.video.readyState === 0) {\n      await new Promise((resolve) => {\n        this.video.onloadeddata = () => resolve();\n      });\n    }\n    return this.model.classify(imgToPredict, numberOfClasses);\n  }\n\n  async predict(inputNumOrCallback, numOrCallback = null, cb) {\n    let imgToPredict = this.video;\n    let numberOfClasses = this.topk;\n    let callback;\n\n    // Handle the image to predict\n    if (typeof inputNumOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputNumOrCallback;\n    } else if (typeof inputNumOrCallback === 'number') {\n      imgToPredict = this.video;\n      numberOfClasses = inputNumOrCallback;\n    } else if (inputNumOrCallback instanceof HTMLImageElement) {\n      imgToPredict = inputNumOrCallback;\n    } else if (typeof inputNumOrCallback === 'object' && inputNumOrCallback.elt instanceof HTMLImageElement) {\n      imgToPredict = inputNumOrCallback.elt; // Handle p5.js image\n    } else if (inputNumOrCallback instanceof HTMLCanvasElement) {\n      imgToPredict = inputNumOrCallback;\n    } else if (typeof inputNumOrCallback === 'object' && inputNumOrCallback.elt instanceof HTMLCanvasElement) {\n      imgToPredict = inputNumOrCallback.elt; // Handle p5.js image\n    } else if (typeof inputNumOrCallback === 'object' && inputNumOrCallback.canvas instanceof HTMLCanvasElement) {\n      imgToPredict = inputNumOrCallback.canvas; // Handle p5.js image\n    } else if (!(this.video instanceof HTMLVideoElement)) {\n      // Handle unsupported input\n      throw new Error('No input image provided. If you want to classify a video, pass the video element in the constructor. ');\n    }\n\n    if (typeof numOrCallback === 'number') {\n      numberOfClasses = numOrCallback;\n    } else if (typeof numOrCallback === 'function') {\n      callback = numOrCallback;\n    }\n\n    if (typeof cb === 'function') {\n      callback = cb;\n    }\n\n    return callCallback(this.predictInternal(imgToPredict, numberOfClasses), callback);\n  }\n}\n\nconst imageClassifier = (modelName, videoOrOptionsOrCallback, optionsOrCallback, cb) => {\n  let model;\n  let video;\n  let options = {};\n  let callback = cb;\n\n  if (typeof modelName === 'string') {\n    model = modelName.toLowerCase();\n  } else {\n    throw new Error('Please specify a model to use. E.g: \"MobileNet\"');\n  }\n\n  if (videoOrOptionsOrCallback instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'object' && videoOrOptionsOrCallback.elt instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback.elt; // Handle a p5.js video element\n  } else if (typeof videoOrOptionsOrCallback === 'object') {\n    options = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'function') {\n    callback = videoOrOptionsOrCallback;\n  }\n\n  if (typeof optionsOrCallback === 'object') {\n    options = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'function') {\n    callback = optionsOrCallback;\n  }\n\n  const instance = new ImageClassifier(model, video, options, callback);\n  return callback ? instance : instance.ready;\n};\n\nexport default imageClassifier;\n","var $export = require('./_export');\n// 19.1.2.4 / 15.2.3.6 Object.defineProperty(O, P, Attributes)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperty: require('./_object-dp').f });\n","require('../../modules/es6.object.define-property');\nvar $Object = require('../../modules/_core').Object;\nmodule.exports = function defineProperty(it, key, desc) {\n  return $Object.defineProperty(it, key, desc);\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/object/define-property\"), __esModule: true };","'use strict';\n// https://github.com/tc39/proposal-promise-try\nvar $export = require('./_export');\nvar newPromiseCapability = require('./_new-promise-capability');\nvar perform = require('./_perform');\n\n$export($export.S, 'Promise', { 'try': function (callbackfn) {\n  var promiseCapability = newPromiseCapability.f(this);\n  var result = perform(callbackfn);\n  (result.e ? promiseCapability.reject : promiseCapability.resolve)(result.v);\n  return promiseCapability.promise;\n} });\n","// https://github.com/tc39/proposal-promise-finally\n'use strict';\nvar $export = require('./_export');\nvar core = require('./_core');\nvar global = require('./_global');\nvar speciesConstructor = require('./_species-constructor');\nvar promiseResolve = require('./_promise-resolve');\n\n$export($export.P + $export.R, 'Promise', { 'finally': function (onFinally) {\n  var C = speciesConstructor(this, core.Promise || global.Promise);\n  var isFunction = typeof onFinally == 'function';\n  return this.then(\n    isFunction ? function (x) {\n      return promiseResolve(C, onFinally()).then(function () { return x; });\n    } : onFinally,\n    isFunction ? function (e) {\n      return promiseResolve(C, onFinally()).then(function () { throw e; });\n    } : onFinally\n  );\n} });\n","var global = require('./_global');\nvar navigator = global.navigator;\n\nmodule.exports = navigator && navigator.userAgent || '';\n","var global = require('./_global');\nvar macrotask = require('./_task').set;\nvar Observer = global.MutationObserver || global.WebKitMutationObserver;\nvar process = global.process;\nvar Promise = global.Promise;\nvar isNode = require('./_cof')(process) == 'process';\n\nmodule.exports = function () {\n  var head, last, notify;\n\n  var flush = function () {\n    var parent, fn;\n    if (isNode && (parent = process.domain)) parent.exit();\n    while (head) {\n      fn = head.fn;\n      head = head.next;\n      try {\n        fn();\n      } catch (e) {\n        if (head) notify();\n        else last = undefined;\n        throw e;\n      }\n    } last = undefined;\n    if (parent) parent.enter();\n  };\n\n  // Node.js\n  if (isNode) {\n    notify = function () {\n      process.nextTick(flush);\n    };\n  // browsers with MutationObserver, except iOS Safari - https://github.com/zloirock/core-js/issues/339\n  } else if (Observer && !(global.navigator && global.navigator.standalone)) {\n    var toggle = true;\n    var node = document.createTextNode('');\n    new Observer(flush).observe(node, { characterData: true }); // eslint-disable-line no-new\n    notify = function () {\n      node.data = toggle = !toggle;\n    };\n  // environments with maybe non-completely correct, but existent Promise\n  } else if (Promise && Promise.resolve) {\n    // Promise.resolve without an argument throws an error in LG WebOS 2\n    var promise = Promise.resolve(undefined);\n    notify = function () {\n      promise.then(flush);\n    };\n  // for other environments - macrotask based on:\n  // - setImmediate\n  // - MessageChannel\n  // - window.postMessag\n  // - onreadystatechange\n  // - setTimeout\n  } else {\n    notify = function () {\n      // strange IE + webpack dev server bug - use .call(global)\n      macrotask.call(global, flush);\n    };\n  }\n\n  return function (fn) {\n    var task = { fn: fn, next: undefined };\n    if (last) last.next = task;\n    if (!head) {\n      head = task;\n      notify();\n    } last = task;\n  };\n};\n","// fast apply, http://jsperf.lnkit.com/fast-apply/5\nmodule.exports = function (fn, args, that) {\n  var un = that === undefined;\n  switch (args.length) {\n    case 0: return un ? fn()\n                      : fn.call(that);\n    case 1: return un ? fn(args[0])\n                      : fn.call(that, args[0]);\n    case 2: return un ? fn(args[0], args[1])\n                      : fn.call(that, args[0], args[1]);\n    case 3: return un ? fn(args[0], args[1], args[2])\n                      : fn.call(that, args[0], args[1], args[2]);\n    case 4: return un ? fn(args[0], args[1], args[2], args[3])\n                      : fn.call(that, args[0], args[1], args[2], args[3]);\n  } return fn.apply(that, args);\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar global = require('./_global');\nvar ctx = require('./_ctx');\nvar classof = require('./_classof');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar aFunction = require('./_a-function');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar speciesConstructor = require('./_species-constructor');\nvar task = require('./_task').set;\nvar microtask = require('./_microtask')();\nvar newPromiseCapabilityModule = require('./_new-promise-capability');\nvar perform = require('./_perform');\nvar userAgent = require('./_user-agent');\nvar promiseResolve = require('./_promise-resolve');\nvar PROMISE = 'Promise';\nvar TypeError = global.TypeError;\nvar process = global.process;\nvar versions = process && process.versions;\nvar v8 = versions && versions.v8 || '';\nvar $Promise = global[PROMISE];\nvar isNode = classof(process) == 'process';\nvar empty = function () { /* empty */ };\nvar Internal, newGenericPromiseCapability, OwnPromiseCapability, Wrapper;\nvar newPromiseCapability = newGenericPromiseCapability = newPromiseCapabilityModule.f;\n\nvar USE_NATIVE = !!function () {\n  try {\n    // correct subclassing with @@species support\n    var promise = $Promise.resolve(1);\n    var FakePromise = (promise.constructor = {})[require('./_wks')('species')] = function (exec) {\n      exec(empty, empty);\n    };\n    // unhandled rejections tracking support, NodeJS Promise without it fails @@species test\n    return (isNode || typeof PromiseRejectionEvent == 'function')\n      && promise.then(empty) instanceof FakePromise\n      // v8 6.6 (Node 10 and Chrome 66) have a bug with resolving custom thenables\n      // https://bugs.chromium.org/p/chromium/issues/detail?id=830565\n      // we can't detect it synchronously, so just check versions\n      && v8.indexOf('6.6') !== 0\n      && userAgent.indexOf('Chrome/66') === -1;\n  } catch (e) { /* empty */ }\n}();\n\n// helpers\nvar isThenable = function (it) {\n  var then;\n  return isObject(it) && typeof (then = it.then) == 'function' ? then : false;\n};\nvar notify = function (promise, isReject) {\n  if (promise._n) return;\n  promise._n = true;\n  var chain = promise._c;\n  microtask(function () {\n    var value = promise._v;\n    var ok = promise._s == 1;\n    var i = 0;\n    var run = function (reaction) {\n      var handler = ok ? reaction.ok : reaction.fail;\n      var resolve = reaction.resolve;\n      var reject = reaction.reject;\n      var domain = reaction.domain;\n      var result, then, exited;\n      try {\n        if (handler) {\n          if (!ok) {\n            if (promise._h == 2) onHandleUnhandled(promise);\n            promise._h = 1;\n          }\n          if (handler === true) result = value;\n          else {\n            if (domain) domain.enter();\n            result = handler(value); // may throw\n            if (domain) {\n              domain.exit();\n              exited = true;\n            }\n          }\n          if (result === reaction.promise) {\n            reject(TypeError('Promise-chain cycle'));\n          } else if (then = isThenable(result)) {\n            then.call(result, resolve, reject);\n          } else resolve(result);\n        } else reject(value);\n      } catch (e) {\n        if (domain && !exited) domain.exit();\n        reject(e);\n      }\n    };\n    while (chain.length > i) run(chain[i++]); // variable length - can't use forEach\n    promise._c = [];\n    promise._n = false;\n    if (isReject && !promise._h) onUnhandled(promise);\n  });\n};\nvar onUnhandled = function (promise) {\n  task.call(global, function () {\n    var value = promise._v;\n    var unhandled = isUnhandled(promise);\n    var result, handler, console;\n    if (unhandled) {\n      result = perform(function () {\n        if (isNode) {\n          process.emit('unhandledRejection', value, promise);\n        } else if (handler = global.onunhandledrejection) {\n          handler({ promise: promise, reason: value });\n        } else if ((console = global.console) && console.error) {\n          console.error('Unhandled promise rejection', value);\n        }\n      });\n      // Browsers should not trigger `rejectionHandled` event if it was handled here, NodeJS - should\n      promise._h = isNode || isUnhandled(promise) ? 2 : 1;\n    } promise._a = undefined;\n    if (unhandled && result.e) throw result.v;\n  });\n};\nvar isUnhandled = function (promise) {\n  return promise._h !== 1 && (promise._a || promise._c).length === 0;\n};\nvar onHandleUnhandled = function (promise) {\n  task.call(global, function () {\n    var handler;\n    if (isNode) {\n      process.emit('rejectionHandled', promise);\n    } else if (handler = global.onrejectionhandled) {\n      handler({ promise: promise, reason: promise._v });\n    }\n  });\n};\nvar $reject = function (value) {\n  var promise = this;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  promise._v = value;\n  promise._s = 2;\n  if (!promise._a) promise._a = promise._c.slice();\n  notify(promise, true);\n};\nvar $resolve = function (value) {\n  var promise = this;\n  var then;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  try {\n    if (promise === value) throw TypeError(\"Promise can't be resolved itself\");\n    if (then = isThenable(value)) {\n      microtask(function () {\n        var wrapper = { _w: promise, _d: false }; // wrap\n        try {\n          then.call(value, ctx($resolve, wrapper, 1), ctx($reject, wrapper, 1));\n        } catch (e) {\n          $reject.call(wrapper, e);\n        }\n      });\n    } else {\n      promise._v = value;\n      promise._s = 1;\n      notify(promise, false);\n    }\n  } catch (e) {\n    $reject.call({ _w: promise, _d: false }, e); // wrap\n  }\n};\n\n// constructor polyfill\nif (!USE_NATIVE) {\n  // 25.4.3.1 Promise(executor)\n  $Promise = function Promise(executor) {\n    anInstance(this, $Promise, PROMISE, '_h');\n    aFunction(executor);\n    Internal.call(this);\n    try {\n      executor(ctx($resolve, this, 1), ctx($reject, this, 1));\n    } catch (err) {\n      $reject.call(this, err);\n    }\n  };\n  // eslint-disable-next-line no-unused-vars\n  Internal = function Promise(executor) {\n    this._c = [];             // <- awaiting reactions\n    this._a = undefined;      // <- checked in isUnhandled reactions\n    this._s = 0;              // <- state\n    this._d = false;          // <- done\n    this._v = undefined;      // <- value\n    this._h = 0;              // <- rejection state, 0 - default, 1 - handled, 2 - unhandled\n    this._n = false;          // <- notify\n  };\n  Internal.prototype = require('./_redefine-all')($Promise.prototype, {\n    // 25.4.5.3 Promise.prototype.then(onFulfilled, onRejected)\n    then: function then(onFulfilled, onRejected) {\n      var reaction = newPromiseCapability(speciesConstructor(this, $Promise));\n      reaction.ok = typeof onFulfilled == 'function' ? onFulfilled : true;\n      reaction.fail = typeof onRejected == 'function' && onRejected;\n      reaction.domain = isNode ? process.domain : undefined;\n      this._c.push(reaction);\n      if (this._a) this._a.push(reaction);\n      if (this._s) notify(this, false);\n      return reaction.promise;\n    },\n    // 25.4.5.1 Promise.prototype.catch(onRejected)\n    'catch': function (onRejected) {\n      return this.then(undefined, onRejected);\n    }\n  });\n  OwnPromiseCapability = function () {\n    var promise = new Internal();\n    this.promise = promise;\n    this.resolve = ctx($resolve, promise, 1);\n    this.reject = ctx($reject, promise, 1);\n  };\n  newPromiseCapabilityModule.f = newPromiseCapability = function (C) {\n    return C === $Promise || C === Wrapper\n      ? new OwnPromiseCapability(C)\n      : newGenericPromiseCapability(C);\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Promise: $Promise });\nrequire('./_set-to-string-tag')($Promise, PROMISE);\nrequire('./_set-species')(PROMISE);\nWrapper = require('./_core')[PROMISE];\n\n// statics\n$export($export.S + $export.F * !USE_NATIVE, PROMISE, {\n  // 25.4.4.5 Promise.reject(r)\n  reject: function reject(r) {\n    var capability = newPromiseCapability(this);\n    var $$reject = capability.reject;\n    $$reject(r);\n    return capability.promise;\n  }\n});\n$export($export.S + $export.F * (LIBRARY || !USE_NATIVE), PROMISE, {\n  // 25.4.4.6 Promise.resolve(x)\n  resolve: function resolve(x) {\n    return promiseResolve(LIBRARY && this === Wrapper ? $Promise : this, x);\n  }\n});\n$export($export.S + $export.F * !(USE_NATIVE && require('./_iter-detect')(function (iter) {\n  $Promise.all(iter)['catch'](empty);\n})), PROMISE, {\n  // 25.4.4.1 Promise.all(iterable)\n  all: function all(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var resolve = capability.resolve;\n    var reject = capability.reject;\n    var result = perform(function () {\n      var values = [];\n      var index = 0;\n      var remaining = 1;\n      forOf(iterable, false, function (promise) {\n        var $index = index++;\n        var alreadyCalled = false;\n        values.push(undefined);\n        remaining++;\n        C.resolve(promise).then(function (value) {\n          if (alreadyCalled) return;\n          alreadyCalled = true;\n          values[$index] = value;\n          --remaining || resolve(values);\n        }, reject);\n      });\n      --remaining || resolve(values);\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  },\n  // 25.4.4.4 Promise.race(iterable)\n  race: function race(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var reject = capability.reject;\n    var result = perform(function () {\n      forOf(iterable, false, function (promise) {\n        C.resolve(promise).then(capability.resolve, reject);\n      });\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  }\n});\n","module.exports = function () { /* empty */ };\n","'use strict';\nvar addToUnscopables = require('./_add-to-unscopables');\nvar step = require('./_iter-step');\nvar Iterators = require('./_iterators');\nvar toIObject = require('./_to-iobject');\n\n// 22.1.3.4 Array.prototype.entries()\n// 22.1.3.13 Array.prototype.keys()\n// 22.1.3.29 Array.prototype.values()\n// 22.1.3.30 Array.prototype[@@iterator]()\nmodule.exports = require('./_iter-define')(Array, 'Array', function (iterated, kind) {\n  this._t = toIObject(iterated); // target\n  this._i = 0;                   // next index\n  this._k = kind;                // kind\n// 22.1.5.2.1 %ArrayIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var kind = this._k;\n  var index = this._i++;\n  if (!O || index >= O.length) {\n    this._t = undefined;\n    return step(1);\n  }\n  if (kind == 'keys') return step(0, index);\n  if (kind == 'values') return step(0, O[index]);\n  return step(0, [index, O[index]]);\n}, 'values');\n\n// argumentsList[@@iterator] is %ArrayProto_values% (9.4.4.6, 9.4.4.7)\nIterators.Arguments = Iterators.Array;\n\naddToUnscopables('keys');\naddToUnscopables('values');\naddToUnscopables('entries');\n","var dP = require('./_object-dp');\nvar anObject = require('./_an-object');\nvar getKeys = require('./_object-keys');\n\nmodule.exports = require('./_descriptors') ? Object.defineProperties : function defineProperties(O, Properties) {\n  anObject(O);\n  var keys = getKeys(Properties);\n  var length = keys.length;\n  var i = 0;\n  var P;\n  while (length > i) dP.f(O, P = keys[i++], Properties[P]);\n  return O;\n};\n","'use strict';\nvar create = require('./_object-create');\nvar descriptor = require('./_property-desc');\nvar setToStringTag = require('./_set-to-string-tag');\nvar IteratorPrototype = {};\n\n// 25.1.2.1.1 %IteratorPrototype%[@@iterator]()\nrequire('./_hide')(IteratorPrototype, require('./_wks')('iterator'), function () { return this; });\n\nmodule.exports = function (Constructor, NAME, next) {\n  Constructor.prototype = create(IteratorPrototype, { next: descriptor(1, next) });\n  setToStringTag(Constructor, NAME + ' Iterator');\n};\n","var toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n// true  -> String#at\n// false -> String#codePointAt\nmodule.exports = function (TO_STRING) {\n  return function (that, pos) {\n    var s = String(defined(that));\n    var i = toInteger(pos);\n    var l = s.length;\n    var a, b;\n    if (i < 0 || i >= l) return TO_STRING ? '' : undefined;\n    a = s.charCodeAt(i);\n    return a < 0xd800 || a > 0xdbff || i + 1 === l || (b = s.charCodeAt(i + 1)) < 0xdc00 || b > 0xdfff\n      ? TO_STRING ? s.charAt(i) : a\n      : TO_STRING ? s.slice(i, i + 2) : (a - 0xd800 << 10) + (b - 0xdc00) + 0x10000;\n  };\n};\n","require('../modules/es6.object.to-string');\nrequire('../modules/es6.string.iterator');\nrequire('../modules/web.dom.iterable');\nrequire('../modules/es6.promise');\nrequire('../modules/es7.promise.finally');\nrequire('../modules/es7.promise.try');\nmodule.exports = require('../modules/_core').Promise;\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n!(function(global) {\n  \"use strict\";\n\n  var Op = Object.prototype;\n  var hasOwn = Op.hasOwnProperty;\n  var undefined; // More compressible than void 0.\n  var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n  var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n  var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n  var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n  var inModule = typeof module === \"object\";\n  var runtime = global.regeneratorRuntime;\n  if (runtime) {\n    if (inModule) {\n      // If regeneratorRuntime is defined globally and we're in a module,\n      // make the exports object identical to regeneratorRuntime.\n      module.exports = runtime;\n    }\n    // Don't bother evaluating the rest of this file if the runtime was\n    // already defined globally.\n    return;\n  }\n\n  // Define the runtime globally (as expected by generated code) as either\n  // module.exports (if we're in a module) or a new, empty object.\n  runtime = global.regeneratorRuntime = inModule ? module.exports : {};\n\n  function wrap(innerFn, outerFn, self, tryLocsList) {\n    // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n    var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n    var generator = Object.create(protoGenerator.prototype);\n    var context = new Context(tryLocsList || []);\n\n    // The ._invoke method unifies the implementations of the .next,\n    // .throw, and .return methods.\n    generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n    return generator;\n  }\n  runtime.wrap = wrap;\n\n  // Try/catch helper to minimize deoptimizations. Returns a completion\n  // record like context.tryEntries[i].completion. This interface could\n  // have been (and was previously) designed to take a closure to be\n  // invoked without arguments, but in all the cases we care about we\n  // already have an existing method we want to call, so there's no need\n  // to create a new function object. We can even get away with assuming\n  // the method takes exactly one argument, since that happens to be true\n  // in every case, so we don't have to touch the arguments object. The\n  // only additional allocation required is the completion record, which\n  // has a stable shape and so hopefully should be cheap to allocate.\n  function tryCatch(fn, obj, arg) {\n    try {\n      return { type: \"normal\", arg: fn.call(obj, arg) };\n    } catch (err) {\n      return { type: \"throw\", arg: err };\n    }\n  }\n\n  var GenStateSuspendedStart = \"suspendedStart\";\n  var GenStateSuspendedYield = \"suspendedYield\";\n  var GenStateExecuting = \"executing\";\n  var GenStateCompleted = \"completed\";\n\n  // Returning this object from the innerFn has the same effect as\n  // breaking out of the dispatch switch statement.\n  var ContinueSentinel = {};\n\n  // Dummy constructor functions that we use as the .constructor and\n  // .constructor.prototype properties for functions that return Generator\n  // objects. For full spec compliance, you may wish to configure your\n  // minifier not to mangle the names of these two functions.\n  function Generator() {}\n  function GeneratorFunction() {}\n  function GeneratorFunctionPrototype() {}\n\n  // This is a polyfill for %IteratorPrototype% for environments that\n  // don't natively support it.\n  var IteratorPrototype = {};\n  IteratorPrototype[iteratorSymbol] = function () {\n    return this;\n  };\n\n  var getProto = Object.getPrototypeOf;\n  var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n  if (NativeIteratorPrototype &&\n      NativeIteratorPrototype !== Op &&\n      hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n    // This environment has a native %IteratorPrototype%; use it instead\n    // of the polyfill.\n    IteratorPrototype = NativeIteratorPrototype;\n  }\n\n  var Gp = GeneratorFunctionPrototype.prototype =\n    Generator.prototype = Object.create(IteratorPrototype);\n  GeneratorFunction.prototype = Gp.constructor = GeneratorFunctionPrototype;\n  GeneratorFunctionPrototype.constructor = GeneratorFunction;\n  GeneratorFunctionPrototype[toStringTagSymbol] =\n    GeneratorFunction.displayName = \"GeneratorFunction\";\n\n  // Helper for defining the .next, .throw, and .return methods of the\n  // Iterator interface in terms of a single ._invoke method.\n  function defineIteratorMethods(prototype) {\n    [\"next\", \"throw\", \"return\"].forEach(function(method) {\n      prototype[method] = function(arg) {\n        return this._invoke(method, arg);\n      };\n    });\n  }\n\n  runtime.isGeneratorFunction = function(genFun) {\n    var ctor = typeof genFun === \"function\" && genFun.constructor;\n    return ctor\n      ? ctor === GeneratorFunction ||\n        // For the native GeneratorFunction constructor, the best we can\n        // do is to check its .name property.\n        (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n      : false;\n  };\n\n  runtime.mark = function(genFun) {\n    if (Object.setPrototypeOf) {\n      Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n    } else {\n      genFun.__proto__ = GeneratorFunctionPrototype;\n      if (!(toStringTagSymbol in genFun)) {\n        genFun[toStringTagSymbol] = \"GeneratorFunction\";\n      }\n    }\n    genFun.prototype = Object.create(Gp);\n    return genFun;\n  };\n\n  // Within the body of any async function, `await x` is transformed to\n  // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n  // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n  // meant to be awaited.\n  runtime.awrap = function(arg) {\n    return { __await: arg };\n  };\n\n  function AsyncIterator(generator) {\n    function invoke(method, arg, resolve, reject) {\n      var record = tryCatch(generator[method], generator, arg);\n      if (record.type === \"throw\") {\n        reject(record.arg);\n      } else {\n        var result = record.arg;\n        var value = result.value;\n        if (value &&\n            typeof value === \"object\" &&\n            hasOwn.call(value, \"__await\")) {\n          return Promise.resolve(value.__await).then(function(value) {\n            invoke(\"next\", value, resolve, reject);\n          }, function(err) {\n            invoke(\"throw\", err, resolve, reject);\n          });\n        }\n\n        return Promise.resolve(value).then(function(unwrapped) {\n          // When a yielded Promise is resolved, its final value becomes\n          // the .value of the Promise<{value,done}> result for the\n          // current iteration. If the Promise is rejected, however, the\n          // result for this iteration will be rejected with the same\n          // reason. Note that rejections of yielded Promises are not\n          // thrown back into the generator function, as is the case\n          // when an awaited Promise is rejected. This difference in\n          // behavior between yield and await is important, because it\n          // allows the consumer to decide what to do with the yielded\n          // rejection (swallow it and continue, manually .throw it back\n          // into the generator, abandon iteration, whatever). With\n          // await, by contrast, there is no opportunity to examine the\n          // rejection reason outside the generator function, so the\n          // only option is to throw it from the await expression, and\n          // let the generator function handle the exception.\n          result.value = unwrapped;\n          resolve(result);\n        }, reject);\n      }\n    }\n\n    var previousPromise;\n\n    function enqueue(method, arg) {\n      function callInvokeWithMethodAndArg() {\n        return new Promise(function(resolve, reject) {\n          invoke(method, arg, resolve, reject);\n        });\n      }\n\n      return previousPromise =\n        // If enqueue has been called before, then we want to wait until\n        // all previous Promises have been resolved before calling invoke,\n        // so that results are always delivered in the correct order. If\n        // enqueue has not been called before, then it is important to\n        // call invoke immediately, without waiting on a callback to fire,\n        // so that the async generator function has the opportunity to do\n        // any necessary setup in a predictable way. This predictability\n        // is why the Promise constructor synchronously invokes its\n        // executor callback, and why async functions synchronously\n        // execute code before the first await. Since we implement simple\n        // async functions in terms of async generators, it is especially\n        // important to get this right, even though it requires care.\n        previousPromise ? previousPromise.then(\n          callInvokeWithMethodAndArg,\n          // Avoid propagating failures to Promises returned by later\n          // invocations of the iterator.\n          callInvokeWithMethodAndArg\n        ) : callInvokeWithMethodAndArg();\n    }\n\n    // Define the unified helper method that is used to implement .next,\n    // .throw, and .return (see defineIteratorMethods).\n    this._invoke = enqueue;\n  }\n\n  defineIteratorMethods(AsyncIterator.prototype);\n  AsyncIterator.prototype[asyncIteratorSymbol] = function () {\n    return this;\n  };\n  runtime.AsyncIterator = AsyncIterator;\n\n  // Note that simple async functions are implemented on top of\n  // AsyncIterator objects; they just return a Promise for the value of\n  // the final result produced by the iterator.\n  runtime.async = function(innerFn, outerFn, self, tryLocsList) {\n    var iter = new AsyncIterator(\n      wrap(innerFn, outerFn, self, tryLocsList)\n    );\n\n    return runtime.isGeneratorFunction(outerFn)\n      ? iter // If outerFn is a generator, return the full iterator.\n      : iter.next().then(function(result) {\n          return result.done ? result.value : iter.next();\n        });\n  };\n\n  function makeInvokeMethod(innerFn, self, context) {\n    var state = GenStateSuspendedStart;\n\n    return function invoke(method, arg) {\n      if (state === GenStateExecuting) {\n        throw new Error(\"Generator is already running\");\n      }\n\n      if (state === GenStateCompleted) {\n        if (method === \"throw\") {\n          throw arg;\n        }\n\n        // Be forgiving, per 25.3.3.3.3 of the spec:\n        // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n        return doneResult();\n      }\n\n      context.method = method;\n      context.arg = arg;\n\n      while (true) {\n        var delegate = context.delegate;\n        if (delegate) {\n          var delegateResult = maybeInvokeDelegate(delegate, context);\n          if (delegateResult) {\n            if (delegateResult === ContinueSentinel) continue;\n            return delegateResult;\n          }\n        }\n\n        if (context.method === \"next\") {\n          // Setting context._sent for legacy support of Babel's\n          // function.sent implementation.\n          context.sent = context._sent = context.arg;\n\n        } else if (context.method === \"throw\") {\n          if (state === GenStateSuspendedStart) {\n            state = GenStateCompleted;\n            throw context.arg;\n          }\n\n          context.dispatchException(context.arg);\n\n        } else if (context.method === \"return\") {\n          context.abrupt(\"return\", context.arg);\n        }\n\n        state = GenStateExecuting;\n\n        var record = tryCatch(innerFn, self, context);\n        if (record.type === \"normal\") {\n          // If an exception is thrown from innerFn, we leave state ===\n          // GenStateExecuting and loop back for another invocation.\n          state = context.done\n            ? GenStateCompleted\n            : GenStateSuspendedYield;\n\n          if (record.arg === ContinueSentinel) {\n            continue;\n          }\n\n          return {\n            value: record.arg,\n            done: context.done\n          };\n\n        } else if (record.type === \"throw\") {\n          state = GenStateCompleted;\n          // Dispatch the exception by looping back around to the\n          // context.dispatchException(context.arg) call above.\n          context.method = \"throw\";\n          context.arg = record.arg;\n        }\n      }\n    };\n  }\n\n  // Call delegate.iterator[context.method](context.arg) and handle the\n  // result, either by returning a { value, done } result from the\n  // delegate iterator, or by modifying context.method and context.arg,\n  // setting context.delegate to null, and returning the ContinueSentinel.\n  function maybeInvokeDelegate(delegate, context) {\n    var method = delegate.iterator[context.method];\n    if (method === undefined) {\n      // A .throw or .return when the delegate iterator has no .throw\n      // method always terminates the yield* loop.\n      context.delegate = null;\n\n      if (context.method === \"throw\") {\n        if (delegate.iterator.return) {\n          // If the delegate iterator has a return method, give it a\n          // chance to clean up.\n          context.method = \"return\";\n          context.arg = undefined;\n          maybeInvokeDelegate(delegate, context);\n\n          if (context.method === \"throw\") {\n            // If maybeInvokeDelegate(context) changed context.method from\n            // \"return\" to \"throw\", let that override the TypeError below.\n            return ContinueSentinel;\n          }\n        }\n\n        context.method = \"throw\";\n        context.arg = new TypeError(\n          \"The iterator does not provide a 'throw' method\");\n      }\n\n      return ContinueSentinel;\n    }\n\n    var record = tryCatch(method, delegate.iterator, context.arg);\n\n    if (record.type === \"throw\") {\n      context.method = \"throw\";\n      context.arg = record.arg;\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    var info = record.arg;\n\n    if (! info) {\n      context.method = \"throw\";\n      context.arg = new TypeError(\"iterator result is not an object\");\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    if (info.done) {\n      // Assign the result of the finished delegate to the temporary\n      // variable specified by delegate.resultName (see delegateYield).\n      context[delegate.resultName] = info.value;\n\n      // Resume execution at the desired location (see delegateYield).\n      context.next = delegate.nextLoc;\n\n      // If context.method was \"throw\" but the delegate handled the\n      // exception, let the outer generator proceed normally. If\n      // context.method was \"next\", forget context.arg since it has been\n      // \"consumed\" by the delegate iterator. If context.method was\n      // \"return\", allow the original .return call to continue in the\n      // outer generator.\n      if (context.method !== \"return\") {\n        context.method = \"next\";\n        context.arg = undefined;\n      }\n\n    } else {\n      // Re-yield the result returned by the delegate method.\n      return info;\n    }\n\n    // The delegate iterator is finished, so forget it and continue with\n    // the outer generator.\n    context.delegate = null;\n    return ContinueSentinel;\n  }\n\n  // Define Generator.prototype.{next,throw,return} in terms of the\n  // unified ._invoke helper method.\n  defineIteratorMethods(Gp);\n\n  Gp[toStringTagSymbol] = \"Generator\";\n\n  // A Generator should always return itself as the iterator object when the\n  // @@iterator function is called on it. Some browsers' implementations of the\n  // iterator prototype chain incorrectly implement this, causing the Generator\n  // object to not be returned from this call. This ensures that doesn't happen.\n  // See https://github.com/facebook/regenerator/issues/274 for more details.\n  Gp[iteratorSymbol] = function() {\n    return this;\n  };\n\n  Gp.toString = function() {\n    return \"[object Generator]\";\n  };\n\n  function pushTryEntry(locs) {\n    var entry = { tryLoc: locs[0] };\n\n    if (1 in locs) {\n      entry.catchLoc = locs[1];\n    }\n\n    if (2 in locs) {\n      entry.finallyLoc = locs[2];\n      entry.afterLoc = locs[3];\n    }\n\n    this.tryEntries.push(entry);\n  }\n\n  function resetTryEntry(entry) {\n    var record = entry.completion || {};\n    record.type = \"normal\";\n    delete record.arg;\n    entry.completion = record;\n  }\n\n  function Context(tryLocsList) {\n    // The root entry object (effectively a try statement without a catch\n    // or a finally block) gives us a place to store values thrown from\n    // locations where there is no enclosing try statement.\n    this.tryEntries = [{ tryLoc: \"root\" }];\n    tryLocsList.forEach(pushTryEntry, this);\n    this.reset(true);\n  }\n\n  runtime.keys = function(object) {\n    var keys = [];\n    for (var key in object) {\n      keys.push(key);\n    }\n    keys.reverse();\n\n    // Rather than returning an object with a next method, we keep\n    // things simple and return the next function itself.\n    return function next() {\n      while (keys.length) {\n        var key = keys.pop();\n        if (key in object) {\n          next.value = key;\n          next.done = false;\n          return next;\n        }\n      }\n\n      // To avoid creating an additional object, we just hang the .value\n      // and .done properties off the next function object itself. This\n      // also ensures that the minifier will not anonymize the function.\n      next.done = true;\n      return next;\n    };\n  };\n\n  function values(iterable) {\n    if (iterable) {\n      var iteratorMethod = iterable[iteratorSymbol];\n      if (iteratorMethod) {\n        return iteratorMethod.call(iterable);\n      }\n\n      if (typeof iterable.next === \"function\") {\n        return iterable;\n      }\n\n      if (!isNaN(iterable.length)) {\n        var i = -1, next = function next() {\n          while (++i < iterable.length) {\n            if (hasOwn.call(iterable, i)) {\n              next.value = iterable[i];\n              next.done = false;\n              return next;\n            }\n          }\n\n          next.value = undefined;\n          next.done = true;\n\n          return next;\n        };\n\n        return next.next = next;\n      }\n    }\n\n    // Return an iterator with no values.\n    return { next: doneResult };\n  }\n  runtime.values = values;\n\n  function doneResult() {\n    return { value: undefined, done: true };\n  }\n\n  Context.prototype = {\n    constructor: Context,\n\n    reset: function(skipTempReset) {\n      this.prev = 0;\n      this.next = 0;\n      // Resetting context._sent for legacy support of Babel's\n      // function.sent implementation.\n      this.sent = this._sent = undefined;\n      this.done = false;\n      this.delegate = null;\n\n      this.method = \"next\";\n      this.arg = undefined;\n\n      this.tryEntries.forEach(resetTryEntry);\n\n      if (!skipTempReset) {\n        for (var name in this) {\n          // Not sure about the optimal order of these conditions:\n          if (name.charAt(0) === \"t\" &&\n              hasOwn.call(this, name) &&\n              !isNaN(+name.slice(1))) {\n            this[name] = undefined;\n          }\n        }\n      }\n    },\n\n    stop: function() {\n      this.done = true;\n\n      var rootEntry = this.tryEntries[0];\n      var rootRecord = rootEntry.completion;\n      if (rootRecord.type === \"throw\") {\n        throw rootRecord.arg;\n      }\n\n      return this.rval;\n    },\n\n    dispatchException: function(exception) {\n      if (this.done) {\n        throw exception;\n      }\n\n      var context = this;\n      function handle(loc, caught) {\n        record.type = \"throw\";\n        record.arg = exception;\n        context.next = loc;\n\n        if (caught) {\n          // If the dispatched exception was caught by a catch block,\n          // then let that catch block handle the exception normally.\n          context.method = \"next\";\n          context.arg = undefined;\n        }\n\n        return !! caught;\n      }\n\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        var record = entry.completion;\n\n        if (entry.tryLoc === \"root\") {\n          // Exception thrown outside of any try block that could handle\n          // it, so set the completion value of the entire function to\n          // throw the exception.\n          return handle(\"end\");\n        }\n\n        if (entry.tryLoc <= this.prev) {\n          var hasCatch = hasOwn.call(entry, \"catchLoc\");\n          var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n          if (hasCatch && hasFinally) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            } else if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else if (hasCatch) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            }\n\n          } else if (hasFinally) {\n            if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else {\n            throw new Error(\"try statement without catch or finally\");\n          }\n        }\n      }\n    },\n\n    abrupt: function(type, arg) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc <= this.prev &&\n            hasOwn.call(entry, \"finallyLoc\") &&\n            this.prev < entry.finallyLoc) {\n          var finallyEntry = entry;\n          break;\n        }\n      }\n\n      if (finallyEntry &&\n          (type === \"break\" ||\n           type === \"continue\") &&\n          finallyEntry.tryLoc <= arg &&\n          arg <= finallyEntry.finallyLoc) {\n        // Ignore the finally entry if control is not jumping to a\n        // location outside the try/catch block.\n        finallyEntry = null;\n      }\n\n      var record = finallyEntry ? finallyEntry.completion : {};\n      record.type = type;\n      record.arg = arg;\n\n      if (finallyEntry) {\n        this.method = \"next\";\n        this.next = finallyEntry.finallyLoc;\n        return ContinueSentinel;\n      }\n\n      return this.complete(record);\n    },\n\n    complete: function(record, afterLoc) {\n      if (record.type === \"throw\") {\n        throw record.arg;\n      }\n\n      if (record.type === \"break\" ||\n          record.type === \"continue\") {\n        this.next = record.arg;\n      } else if (record.type === \"return\") {\n        this.rval = this.arg = record.arg;\n        this.method = \"return\";\n        this.next = \"end\";\n      } else if (record.type === \"normal\" && afterLoc) {\n        this.next = afterLoc;\n      }\n\n      return ContinueSentinel;\n    },\n\n    finish: function(finallyLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.finallyLoc === finallyLoc) {\n          this.complete(entry.completion, entry.afterLoc);\n          resetTryEntry(entry);\n          return ContinueSentinel;\n        }\n      }\n    },\n\n    \"catch\": function(tryLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc === tryLoc) {\n          var record = entry.completion;\n          if (record.type === \"throw\") {\n            var thrown = record.arg;\n            resetTryEntry(entry);\n          }\n          return thrown;\n        }\n      }\n\n      // The context.catch method must only be called with a location\n      // argument that corresponds to a known catch block.\n      throw new Error(\"illegal catch attempt\");\n    },\n\n    delegateYield: function(iterable, resultName, nextLoc) {\n      this.delegate = {\n        iterator: values(iterable),\n        resultName: resultName,\n        nextLoc: nextLoc\n      };\n\n      if (this.method === \"next\") {\n        // Deliberately forget the last sent value so that we don't\n        // accidentally pass it on to the delegate.\n        this.arg = undefined;\n      }\n\n      return ContinueSentinel;\n    }\n  };\n})(\n  // In sloppy mode, unbound `this` refers to the global object, fallback to\n  // Function constructor if we're in global strict mode. That is sadly a form\n  // of indirect eval which violates Content Security Policy.\n  (function() { return this })() || Function(\"return this\")()\n);\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n// This method of obtaining a reference to the global object needs to be\n// kept identical to the way it is obtained in runtime.js\nvar g = (function() { return this })() || Function(\"return this\")();\n\n// Use `getOwnPropertyNames` because not all browsers support calling\n// `hasOwnProperty` on the global `self` object in a worker. See #183.\nvar hadRuntime = g.regeneratorRuntime &&\n  Object.getOwnPropertyNames(g).indexOf(\"regeneratorRuntime\") >= 0;\n\n// Save the old regeneratorRuntime in case it needs to be restored later.\nvar oldRuntime = hadRuntime && g.regeneratorRuntime;\n\n// Force reevalutation of runtime.js.\ng.regeneratorRuntime = undefined;\n\nmodule.exports = require(\"./runtime\");\n\nif (hadRuntime) {\n  // Restore the original runtime.\n  g.regeneratorRuntime = oldRuntime;\n} else {\n  // Remove the global property added by runtime.js.\n  try {\n    delete g.regeneratorRuntime;\n  } catch(e) {\n    g.regeneratorRuntime = undefined;\n  }\n}\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\n  Crepe Pitch Detection model\n  Based on https://github.com/marl/crepe/tree/gh-pages\n  Original model and code: https://marl.github.io/crepe/crepe.js\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport callCallback from '../utils/callcallback';\n\nclass PitchDetection {\n  constructor(model, audioContext, stream, callback) {\n    this.model = model;\n    this.audioContext = audioContext;\n    this.stream = stream;\n    this.frequency = null;\n    this.ready = callCallback(this.loadModel(model), callback);\n  }\n\n  async loadModel(model) {\n    this.model = await tf.loadModel(`${model}/model.json`);\n    if (this.audioContext) {\n      await this.processStream();\n    } else {\n      throw new Error('Could not access microphone - getUserMedia not available');\n    }\n    return this;\n  }\n\n  async processStream() {\n    await tf.nextFrame();\n\n    const mic = this.audioContext.createMediaStreamSource(this.stream);\n    const minBufferSize = (this.audioContext.sampleRate / 16000) * 1024;\n    let bufferSize = 4;\n    while (bufferSize < minBufferSize) bufferSize *= 2;\n\n    const scriptNode = this.audioContext.createScriptProcessor(bufferSize, 1, 1);\n    scriptNode.onaudioprocess = this.processMicrophoneBuffer.bind(this);\n    const gain = this.audioContext.createGain();\n    gain.gain.setValueAtTime(0, this.audioContext.currentTime);\n\n    mic.connect(scriptNode);\n    scriptNode.connect(gain);\n    gain.connect(this.audioContext.destination);\n\n    if (this.audioContext.state !== 'running') {\n      console.warn('User gesture needed to start AudioContext, please click');\n    }\n  }\n\n  async processMicrophoneBuffer(event) {\n    await tf.nextFrame();\n    this.results = {};\n    const centMapping = tf.add(tf.linspace(0, 7180, 360), tf.tensor(1997.3794084376191));\n    PitchDetection.resample(event.inputBuffer, (resampled) => {\n      tf.tidy(() => {\n        this.running = true;\n        const frame = tf.tensor(resampled.slice(0, 1024));\n        const zeromean = tf.sub(frame, tf.mean(frame));\n        const framestd = tf.tensor(tf.norm(zeromean).dataSync() / Math.sqrt(1024));\n        const normalized = tf.div(zeromean, framestd);\n        const input = normalized.reshape([1, 1024]);\n        const activation = this.model.predict([input]).reshape([360]);\n        const confidence = activation.max().dataSync()[0];\n        const center = activation.argMax().dataSync()[0];\n        this.results.confidence = confidence.toFixed(3);\n\n        const start = Math.max(0, center - 4);\n        const end = Math.min(360, center + 5);\n        const weights = activation.slice([start], [end - start]);\n        const cents = centMapping.slice([start], [end - start]);\n\n        const products = tf.mul(weights, cents);\n        const productSum = products.dataSync().reduce((a, b) => a + b, 0);\n        const weightSum = weights.dataSync().reduce((a, b) => a + b, 0);\n        const predictedCent = productSum / weightSum;\n        const predictedHz = 10 * (2 ** (predictedCent / 1200.0));\n\n        const frequency = (confidence > 0.5) ? predictedHz : null;\n        this.frequency = frequency;\n      });\n    });\n  }\n\n  async getPitch(callback) {\n    await this.ready;\n    await tf.nextFrame();\n    const { frequency } = this;\n    if (callback) {\n      callback(undefined, frequency);\n    }\n    return frequency;\n  }\n\n  static resample(audioBuffer, onComplete) {\n    const interpolate = (audioBuffer.sampleRate % 16000 !== 0);\n    const multiplier = audioBuffer.sampleRate / 16000;\n    const original = audioBuffer.getChannelData(0);\n    const subsamples = new Float32Array(1024);\n    for (let i = 0; i < 1024; i += 1) {\n      if (!interpolate) {\n        subsamples[i] = original[i * multiplier];\n      } else {\n        const left = Math.floor(i * multiplier);\n        const right = left + 1;\n        const p = (i * multiplier) - left;\n        subsamples[i] = (((1 - p) * original[left]) + (p * original[right]));\n      }\n    }\n    onComplete(subsamples);\n  }\n}\n\nconst pitchDetection = (modelPath = './', context, stream, callback) => new PitchDetection(modelPath, context, stream, callback);\n\nexport default pitchDetection;\n","'use strict'\n\nfunction oldBrowser () {\n  throw new Error('secure random number generation not supported by this browser\\nuse chrome, FireFox or Internet Explorer 11')\n}\nvar safeBuffer = require('safe-buffer')\nvar randombytes = require('randombytes')\nvar Buffer = safeBuffer.Buffer\nvar kBufferMaxLength = safeBuffer.kMaxLength\nvar crypto = global.crypto || global.msCrypto\nvar kMaxUint32 = Math.pow(2, 32) - 1\nfunction assertOffset (offset, length) {\n  if (typeof offset !== 'number' || offset !== offset) { // eslint-disable-line no-self-compare\n    throw new TypeError('offset must be a number')\n  }\n\n  if (offset > kMaxUint32 || offset < 0) {\n    throw new TypeError('offset must be a uint32')\n  }\n\n  if (offset > kBufferMaxLength || offset > length) {\n    throw new RangeError('offset out of range')\n  }\n}\n\nfunction assertSize (size, offset, length) {\n  if (typeof size !== 'number' || size !== size) { // eslint-disable-line no-self-compare\n    throw new TypeError('size must be a number')\n  }\n\n  if (size > kMaxUint32 || size < 0) {\n    throw new TypeError('size must be a uint32')\n  }\n\n  if (size + offset > length || size > kBufferMaxLength) {\n    throw new RangeError('buffer too small')\n  }\n}\nif ((crypto && crypto.getRandomValues) || !process.browser) {\n  exports.randomFill = randomFill\n  exports.randomFillSync = randomFillSync\n} else {\n  exports.randomFill = oldBrowser\n  exports.randomFillSync = oldBrowser\n}\nfunction randomFill (buf, offset, size, cb) {\n  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {\n    throw new TypeError('\"buf\" argument must be a Buffer or Uint8Array')\n  }\n\n  if (typeof offset === 'function') {\n    cb = offset\n    offset = 0\n    size = buf.length\n  } else if (typeof size === 'function') {\n    cb = size\n    size = buf.length - offset\n  } else if (typeof cb !== 'function') {\n    throw new TypeError('\"cb\" argument must be a function')\n  }\n  assertOffset(offset, buf.length)\n  assertSize(size, offset, buf.length)\n  return actualFill(buf, offset, size, cb)\n}\n\nfunction actualFill (buf, offset, size, cb) {\n  if (process.browser) {\n    var ourBuf = buf.buffer\n    var uint = new Uint8Array(ourBuf, offset, size)\n    crypto.getRandomValues(uint)\n    if (cb) {\n      process.nextTick(function () {\n        cb(null, buf)\n      })\n      return\n    }\n    return buf\n  }\n  if (cb) {\n    randombytes(size, function (err, bytes) {\n      if (err) {\n        return cb(err)\n      }\n      bytes.copy(buf, offset)\n      cb(null, buf)\n    })\n    return\n  }\n  var bytes = randombytes(size)\n  bytes.copy(buf, offset)\n  return buf\n}\nfunction randomFillSync (buf, offset, size) {\n  if (typeof offset === 'undefined') {\n    offset = 0\n  }\n  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {\n    throw new TypeError('\"buf\" argument must be a Buffer or Uint8Array')\n  }\n\n  assertOffset(offset, buf.length)\n\n  if (size === undefined) size = buf.length - offset\n\n  assertSize(size, offset, buf.length)\n\n  return actualFill(buf, offset, size)\n}\n","var parseKeys = require('parse-asn1')\nvar mgf = require('./mgf')\nvar xor = require('./xor')\nvar BN = require('bn.js')\nvar crt = require('browserify-rsa')\nvar createHash = require('create-hash')\nvar withPublic = require('./withPublic')\nvar Buffer = require('safe-buffer').Buffer\n\nmodule.exports = function privateDecrypt (privateKey, enc, reverse) {\n  var padding\n  if (privateKey.padding) {\n    padding = privateKey.padding\n  } else if (reverse) {\n    padding = 1\n  } else {\n    padding = 4\n  }\n\n  var key = parseKeys(privateKey)\n  var k = key.modulus.byteLength()\n  if (enc.length > k || new BN(enc).cmp(key.modulus) >= 0) {\n    throw new Error('decryption error')\n  }\n  var msg\n  if (reverse) {\n    msg = withPublic(new BN(enc), key)\n  } else {\n    msg = crt(enc, key)\n  }\n  var zBuffer = Buffer.alloc(k - msg.length)\n  msg = Buffer.concat([zBuffer, msg], k)\n  if (padding === 4) {\n    return oaep(key, msg)\n  } else if (padding === 1) {\n    return pkcs1(key, msg, reverse)\n  } else if (padding === 3) {\n    return msg\n  } else {\n    throw new Error('unknown padding')\n  }\n}\n\nfunction oaep (key, msg) {\n  var k = key.modulus.byteLength()\n  var iHash = createHash('sha1').update(Buffer.alloc(0)).digest()\n  var hLen = iHash.length\n  if (msg[0] !== 0) {\n    throw new Error('decryption error')\n  }\n  var maskedSeed = msg.slice(1, hLen + 1)\n  var maskedDb = msg.slice(hLen + 1)\n  var seed = xor(maskedSeed, mgf(maskedDb, hLen))\n  var db = xor(maskedDb, mgf(seed, k - hLen - 1))\n  if (compare(iHash, db.slice(0, hLen))) {\n    throw new Error('decryption error')\n  }\n  var i = hLen\n  while (db[i] === 0) {\n    i++\n  }\n  if (db[i++] !== 1) {\n    throw new Error('decryption error')\n  }\n  return db.slice(i)\n}\n\nfunction pkcs1 (key, msg, reverse) {\n  var p1 = msg.slice(0, 2)\n  var i = 2\n  var status = 0\n  while (msg[i++] !== 0) {\n    if (i >= msg.length) {\n      status++\n      break\n    }\n  }\n  var ps = msg.slice(2, i - 1)\n\n  if ((p1.toString('hex') !== '0002' && !reverse) || (p1.toString('hex') !== '0001' && reverse)) {\n    status++\n  }\n  if (ps.length < 8) {\n    status++\n  }\n  if (status) {\n    throw new Error('decryption error')\n  }\n  return msg.slice(i)\n}\nfunction compare (a, b) {\n  a = Buffer.from(a)\n  b = Buffer.from(b)\n  var dif = 0\n  var len = a.length\n  if (a.length !== b.length) {\n    dif++\n    len = Math.min(a.length, b.length)\n  }\n  var i = -1\n  while (++i < len) {\n    dif += (a[i] ^ b[i])\n  }\n  return dif\n}\n","var parseKeys = require('parse-asn1')\nvar randomBytes = require('randombytes')\nvar createHash = require('create-hash')\nvar mgf = require('./mgf')\nvar xor = require('./xor')\nvar BN = require('bn.js')\nvar withPublic = require('./withPublic')\nvar crt = require('browserify-rsa')\nvar Buffer = require('safe-buffer').Buffer\n\nmodule.exports = function publicEncrypt (publicKey, msg, reverse) {\n  var padding\n  if (publicKey.padding) {\n    padding = publicKey.padding\n  } else if (reverse) {\n    padding = 1\n  } else {\n    padding = 4\n  }\n  var key = parseKeys(publicKey)\n  var paddedMsg\n  if (padding === 4) {\n    paddedMsg = oaep(key, msg)\n  } else if (padding === 1) {\n    paddedMsg = pkcs1(key, msg, reverse)\n  } else if (padding === 3) {\n    paddedMsg = new BN(msg)\n    if (paddedMsg.cmp(key.modulus) >= 0) {\n      throw new Error('data too long for modulus')\n    }\n  } else {\n    throw new Error('unknown padding')\n  }\n  if (reverse) {\n    return crt(paddedMsg, key)\n  } else {\n    return withPublic(paddedMsg, key)\n  }\n}\n\nfunction oaep (key, msg) {\n  var k = key.modulus.byteLength()\n  var mLen = msg.length\n  var iHash = createHash('sha1').update(Buffer.alloc(0)).digest()\n  var hLen = iHash.length\n  var hLen2 = 2 * hLen\n  if (mLen > k - hLen2 - 2) {\n    throw new Error('message too long')\n  }\n  var ps = Buffer.alloc(k - mLen - hLen2 - 2)\n  var dblen = k - hLen - 1\n  var seed = randomBytes(hLen)\n  var maskedDb = xor(Buffer.concat([iHash, ps, Buffer.alloc(1, 1), msg], dblen), mgf(seed, dblen))\n  var maskedSeed = xor(seed, mgf(maskedDb, hLen))\n  return new BN(Buffer.concat([Buffer.alloc(1), maskedSeed, maskedDb], k))\n}\nfunction pkcs1 (key, msg, reverse) {\n  var mLen = msg.length\n  var k = key.modulus.byteLength()\n  if (mLen > k - 11) {\n    throw new Error('message too long')\n  }\n  var ps\n  if (reverse) {\n    ps = Buffer.alloc(k - mLen - 3, 0xff)\n  } else {\n    ps = nonZero(k - mLen - 3)\n  }\n  return new BN(Buffer.concat([Buffer.from([0, reverse ? 1 : 2]), ps, Buffer.alloc(1), msg], k))\n}\nfunction nonZero (len) {\n  var out = Buffer.allocUnsafe(len)\n  var i = 0\n  var cache = randomBytes(len * 2)\n  var cur = 0\n  var num\n  while (i < len) {\n    if (cur === cache.length) {\n      cache = randomBytes(len * 2)\n      cur = 0\n    }\n    num = cache[cur++]\n    if (num) {\n      out[i++] = num\n    }\n  }\n  return out\n}\n","exports.publicEncrypt = require('./publicEncrypt')\nexports.privateDecrypt = require('./privateDecrypt')\n\nexports.privateEncrypt = function privateEncrypt (key, buf) {\n  return exports.publicEncrypt(key, buf, true)\n}\n\nexports.publicDecrypt = function publicDecrypt (key, buf) {\n  return exports.privateDecrypt(key, buf, true)\n}\n","var elliptic = require('elliptic')\nvar BN = require('bn.js')\n\nmodule.exports = function createECDH (curve) {\n  return new ECDH(curve)\n}\n\nvar aliases = {\n  secp256k1: {\n    name: 'secp256k1',\n    byteLength: 32\n  },\n  secp224r1: {\n    name: 'p224',\n    byteLength: 28\n  },\n  prime256v1: {\n    name: 'p256',\n    byteLength: 32\n  },\n  prime192v1: {\n    name: 'p192',\n    byteLength: 24\n  },\n  ed25519: {\n    name: 'ed25519',\n    byteLength: 32\n  },\n  secp384r1: {\n    name: 'p384',\n    byteLength: 48\n  },\n  secp521r1: {\n    name: 'p521',\n    byteLength: 66\n  }\n}\n\naliases.p224 = aliases.secp224r1\naliases.p256 = aliases.secp256r1 = aliases.prime256v1\naliases.p192 = aliases.secp192r1 = aliases.prime192v1\naliases.p384 = aliases.secp384r1\naliases.p521 = aliases.secp521r1\n\nfunction ECDH (curve) {\n  this.curveType = aliases[curve]\n  if (!this.curveType) {\n    this.curveType = {\n      name: curve\n    }\n  }\n  this.curve = new elliptic.ec(this.curveType.name) // eslint-disable-line new-cap\n  this.keys = void 0\n}\n\nECDH.prototype.generateKeys = function (enc, format) {\n  this.keys = this.curve.genKeyPair()\n  return this.getPublicKey(enc, format)\n}\n\nECDH.prototype.computeSecret = function (other, inenc, enc) {\n  inenc = inenc || 'utf8'\n  if (!Buffer.isBuffer(other)) {\n    other = new Buffer(other, inenc)\n  }\n  var otherPub = this.curve.keyFromPublic(other).getPublic()\n  var out = otherPub.mul(this.keys.getPrivate()).getX()\n  return formatReturnValue(out, enc, this.curveType.byteLength)\n}\n\nECDH.prototype.getPublicKey = function (enc, format) {\n  var key = this.keys.getPublic(format === 'compressed', true)\n  if (format === 'hybrid') {\n    if (key[key.length - 1] % 2) {\n      key[0] = 7\n    } else {\n      key[0] = 6\n    }\n  }\n  return formatReturnValue(key, enc)\n}\n\nECDH.prototype.getPrivateKey = function (enc) {\n  return formatReturnValue(this.keys.getPrivate(), enc)\n}\n\nECDH.prototype.setPublicKey = function (pub, enc) {\n  enc = enc || 'utf8'\n  if (!Buffer.isBuffer(pub)) {\n    pub = new Buffer(pub, enc)\n  }\n  this.keys._importPublic(pub)\n  return this\n}\n\nECDH.prototype.setPrivateKey = function (priv, enc) {\n  enc = enc || 'utf8'\n  if (!Buffer.isBuffer(priv)) {\n    priv = new Buffer(priv, enc)\n  }\n\n  var _priv = new BN(priv)\n  _priv = _priv.toString(16)\n  this.keys = this.curve.genKeyPair()\n  this.keys._importPrivate(_priv)\n  return this\n}\n\nfunction formatReturnValue (bn, enc, len) {\n  if (!Array.isArray(bn)) {\n    bn = bn.toArray()\n  }\n  var buf = new Buffer(bn)\n  if (len && buf.length < len) {\n    var zeros = new Buffer(len - buf.length)\n    zeros.fill(0)\n    buf = Buffer.concat([zeros, buf])\n  }\n  if (!enc) {\n    return buf\n  } else {\n    return buf.toString(enc)\n  }\n}\n","// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js\nvar BN = require('bn.js')\nvar EC = require('elliptic').ec\nvar parseKeys = require('parse-asn1')\nvar curves = require('./curves.json')\n\nfunction verify (sig, hash, key, signType, tag) {\n  var pub = parseKeys(key)\n  if (pub.type === 'ec') {\n    // rsa keys can be interpreted as ecdsa ones in openssl\n    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n    return ecVerify(sig, hash, pub)\n  } else if (pub.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong public key type')\n    return dsaVerify(sig, hash, pub)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = pub.modulus.byteLength()\n  var pad = [ 1 ]\n  var padNum = 0\n  while (hash.length + pad.length + 2 < len) {\n    pad.push(0xff)\n    padNum++\n  }\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) {\n    pad.push(hash[i])\n  }\n  pad = new Buffer(pad)\n  var red = BN.mont(pub.modulus)\n  sig = new BN(sig).toRed(red)\n\n  sig = sig.redPow(new BN(pub.publicExponent))\n  sig = new Buffer(sig.fromRed().toArray())\n  var out = padNum < 8 ? 1 : 0\n  len = Math.min(sig.length, pad.length)\n  if (sig.length !== pad.length) out = 1\n\n  i = -1\n  while (++i < len) out |= sig[i] ^ pad[i]\n  return out === 0\n}\n\nfunction ecVerify (sig, hash, pub) {\n  var curveId = curves[pub.data.algorithm.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + pub.data.algorithm.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var pubkey = pub.data.subjectPrivateKey.data\n\n  return curve.verify(hash, sig, pubkey)\n}\n\nfunction dsaVerify (sig, hash, pub) {\n  var p = pub.data.p\n  var q = pub.data.q\n  var g = pub.data.g\n  var y = pub.data.pub_key\n  var unpacked = parseKeys.signature.decode(sig, 'der')\n  var s = unpacked.s\n  var r = unpacked.r\n  checkValue(s, q)\n  checkValue(r, q)\n  var montp = BN.mont(p)\n  var w = s.invm(q)\n  var v = g.toRed(montp)\n    .redPow(new BN(hash).mul(w).mod(q))\n    .fromRed()\n    .mul(y.toRed(montp).redPow(r.mul(w).mod(q)).fromRed())\n    .mod(p)\n    .mod(q)\n  return v.cmp(r) === 0\n}\n\nfunction checkValue (b, q) {\n  if (b.cmpn(0) <= 0) throw new Error('invalid sig')\n  if (b.cmp(q) >= q) throw new Error('invalid sig')\n}\n\nmodule.exports = verify\n","// adapted from https://github.com/apatil/pemstrip\nvar findProc = /Proc-Type: 4,ENCRYPTED[\\n\\r]+DEK-Info: AES-((?:128)|(?:192)|(?:256))-CBC,([0-9A-H]+)[\\n\\r]+([0-9A-z\\n\\r\\+\\/\\=]+)[\\n\\r]+/m\nvar startRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----/m\nvar fullRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----([0-9A-z\\n\\r\\+\\/\\=]+)-----END \\1-----$/m\nvar evp = require('evp_bytestokey')\nvar ciphers = require('browserify-aes')\nmodule.exports = function (okey, password) {\n  var key = okey.toString()\n  var match = key.match(findProc)\n  var decrypted\n  if (!match) {\n    var match2 = key.match(fullRegex)\n    decrypted = new Buffer(match2[2].replace(/[\\r\\n]/g, ''), 'base64')\n  } else {\n    var suite = 'aes' + match[1]\n    var iv = new Buffer(match[2], 'hex')\n    var cipherText = new Buffer(match[3].replace(/[\\r\\n]/g, ''), 'base64')\n    var cipherKey = evp(password, iv.slice(0, 8), parseInt(match[1], 10)).key\n    var out = []\n    var cipher = ciphers.createDecipheriv(suite, cipherKey, iv)\n    out.push(cipher.update(cipherText))\n    out.push(cipher.final())\n    decrypted = Buffer.concat(out)\n  }\n  var tag = key.match(startRegex)[1]\n  return {\n    tag: tag,\n    data: decrypted\n  }\n}\n","// from https://github.com/Rantanen/node-dtls/blob/25a7dc861bda38cfeac93a723500eea4f0ac2e86/Certificate.js\n// thanks to @Rantanen\n\n'use strict'\n\nvar asn = require('asn1.js')\n\nvar Time = asn.define('Time', function () {\n  this.choice({\n    utcTime: this.utctime(),\n    generalTime: this.gentime()\n  })\n})\n\nvar AttributeTypeValue = asn.define('AttributeTypeValue', function () {\n  this.seq().obj(\n    this.key('type').objid(),\n    this.key('value').any()\n  )\n})\n\nvar AlgorithmIdentifier = asn.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('parameters').optional()\n  )\n})\n\nvar SubjectPublicKeyInfo = asn.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\n\nvar RelativeDistinguishedName = asn.define('RelativeDistinguishedName', function () {\n  this.setof(AttributeTypeValue)\n})\n\nvar RDNSequence = asn.define('RDNSequence', function () {\n  this.seqof(RelativeDistinguishedName)\n})\n\nvar Name = asn.define('Name', function () {\n  this.choice({\n    rdnSequence: this.use(RDNSequence)\n  })\n})\n\nvar Validity = asn.define('Validity', function () {\n  this.seq().obj(\n    this.key('notBefore').use(Time),\n    this.key('notAfter').use(Time)\n  )\n})\n\nvar Extension = asn.define('Extension', function () {\n  this.seq().obj(\n    this.key('extnID').objid(),\n    this.key('critical').bool().def(false),\n    this.key('extnValue').octstr()\n  )\n})\n\nvar TBSCertificate = asn.define('TBSCertificate', function () {\n  this.seq().obj(\n    this.key('version').explicit(0).int(),\n    this.key('serialNumber').int(),\n    this.key('signature').use(AlgorithmIdentifier),\n    this.key('issuer').use(Name),\n    this.key('validity').use(Validity),\n    this.key('subject').use(Name),\n    this.key('subjectPublicKeyInfo').use(SubjectPublicKeyInfo),\n    this.key('issuerUniqueID').implicit(1).bitstr().optional(),\n    this.key('subjectUniqueID').implicit(2).bitstr().optional(),\n    this.key('extensions').explicit(3).seqof(Extension).optional()\n  )\n})\n\nvar X509Certificate = asn.define('X509Certificate', function () {\n  this.seq().obj(\n    this.key('tbsCertificate').use(TBSCertificate),\n    this.key('signatureAlgorithm').use(AlgorithmIdentifier),\n    this.key('signatureValue').bitstr()\n  )\n})\n\nmodule.exports = X509Certificate\n","var inherits = require('inherits');\n\nvar DEREncoder = require('./der');\n\nfunction PEMEncoder(entity) {\n  DEREncoder.call(this, entity);\n  this.enc = 'pem';\n};\ninherits(PEMEncoder, DEREncoder);\nmodule.exports = PEMEncoder;\n\nPEMEncoder.prototype.encode = function encode(data, options) {\n  var buf = DEREncoder.prototype.encode.call(this, data);\n\n  var p = buf.toString('base64');\n  var out = [ '-----BEGIN ' + options.label + '-----' ];\n  for (var i = 0; i < p.length; i += 64)\n    out.push(p.slice(i, i + 64));\n  out.push('-----END ' + options.label + '-----');\n  return out.join('\\n');\n};\n","var encoders = exports;\n\nencoders.der = require('./der');\nencoders.pem = require('./pem');\n","var inherits = require('inherits');\nvar Buffer = require('buffer').Buffer;\n\nvar DERDecoder = require('./der');\n\nfunction PEMDecoder(entity) {\n  DERDecoder.call(this, entity);\n  this.enc = 'pem';\n};\ninherits(PEMDecoder, DERDecoder);\nmodule.exports = PEMDecoder;\n\nPEMDecoder.prototype.decode = function decode(data, options) {\n  var lines = data.toString().split(/[\\r\\n]+/g);\n\n  var label = options.label.toUpperCase();\n\n  var re = /^-----(BEGIN|END) ([^-]+)-----$/;\n  var start = -1;\n  var end = -1;\n  for (var i = 0; i < lines.length; i++) {\n    var match = lines[i].match(re);\n    if (match === null)\n      continue;\n\n    if (match[2] !== label)\n      continue;\n\n    if (start === -1) {\n      if (match[1] !== 'BEGIN')\n        break;\n      start = i;\n    } else {\n      if (match[1] !== 'END')\n        break;\n      end = i;\n      break;\n    }\n  }\n  if (start === -1 || end === -1)\n    throw new Error('PEM section not found for: ' + label);\n\n  var base64 = lines.slice(start + 1, end).join('');\n  // Remove excessive symbols\n  base64.replace(/[^a-z0-9\\+\\/=]+/gi, '');\n\n  var input = new Buffer(base64, 'base64');\n  return DERDecoder.prototype.decode.call(this, input, options);\n};\n","var decoders = exports;\n\ndecoders.der = require('./der');\ndecoders.pem = require('./pem');\n","var constants = require('../constants');\n\nexports.tagClass = {\n  0: 'universal',\n  1: 'application',\n  2: 'context',\n  3: 'private'\n};\nexports.tagClassByName = constants._reverse(exports.tagClass);\n\nexports.tag = {\n  0x00: 'end',\n  0x01: 'bool',\n  0x02: 'int',\n  0x03: 'bitstr',\n  0x04: 'octstr',\n  0x05: 'null_',\n  0x06: 'objid',\n  0x07: 'objDesc',\n  0x08: 'external',\n  0x09: 'real',\n  0x0a: 'enum',\n  0x0b: 'embed',\n  0x0c: 'utf8str',\n  0x0d: 'relativeOid',\n  0x10: 'seq',\n  0x11: 'set',\n  0x12: 'numstr',\n  0x13: 'printstr',\n  0x14: 't61str',\n  0x15: 'videostr',\n  0x16: 'ia5str',\n  0x17: 'utctime',\n  0x18: 'gentime',\n  0x19: 'graphstr',\n  0x1a: 'iso646str',\n  0x1b: 'genstr',\n  0x1c: 'unistr',\n  0x1d: 'charstr',\n  0x1e: 'bmpstr'\n};\nexports.tagByName = constants._reverse(exports.tag);\n","var Reporter = require('../base').Reporter;\nvar EncoderBuffer = require('../base').EncoderBuffer;\nvar DecoderBuffer = require('../base').DecoderBuffer;\nvar assert = require('minimalistic-assert');\n\n// Supported tags\nvar tags = [\n  'seq', 'seqof', 'set', 'setof', 'objid', 'bool',\n  'gentime', 'utctime', 'null_', 'enum', 'int', 'objDesc',\n  'bitstr', 'bmpstr', 'charstr', 'genstr', 'graphstr', 'ia5str', 'iso646str',\n  'numstr', 'octstr', 'printstr', 't61str', 'unistr', 'utf8str', 'videostr'\n];\n\n// Public methods list\nvar methods = [\n  'key', 'obj', 'use', 'optional', 'explicit', 'implicit', 'def', 'choice',\n  'any', 'contains'\n].concat(tags);\n\n// Overrided methods list\nvar overrided = [\n  '_peekTag', '_decodeTag', '_use',\n  '_decodeStr', '_decodeObjid', '_decodeTime',\n  '_decodeNull', '_decodeInt', '_decodeBool', '_decodeList',\n\n  '_encodeComposite', '_encodeStr', '_encodeObjid', '_encodeTime',\n  '_encodeNull', '_encodeInt', '_encodeBool'\n];\n\nfunction Node(enc, parent) {\n  var state = {};\n  this._baseState = state;\n\n  state.enc = enc;\n\n  state.parent = parent || null;\n  state.children = null;\n\n  // State\n  state.tag = null;\n  state.args = null;\n  state.reverseArgs = null;\n  state.choice = null;\n  state.optional = false;\n  state.any = false;\n  state.obj = false;\n  state.use = null;\n  state.useDecoder = null;\n  state.key = null;\n  state['default'] = null;\n  state.explicit = null;\n  state.implicit = null;\n  state.contains = null;\n\n  // Should create new instance on each method\n  if (!state.parent) {\n    state.children = [];\n    this._wrap();\n  }\n}\nmodule.exports = Node;\n\nvar stateProps = [\n  'enc', 'parent', 'children', 'tag', 'args', 'reverseArgs', 'choice',\n  'optional', 'any', 'obj', 'use', 'alteredUse', 'key', 'default', 'explicit',\n  'implicit', 'contains'\n];\n\nNode.prototype.clone = function clone() {\n  var state = this._baseState;\n  var cstate = {};\n  stateProps.forEach(function(prop) {\n    cstate[prop] = state[prop];\n  });\n  var res = new this.constructor(cstate.parent);\n  res._baseState = cstate;\n  return res;\n};\n\nNode.prototype._wrap = function wrap() {\n  var state = this._baseState;\n  methods.forEach(function(method) {\n    this[method] = function _wrappedMethod() {\n      var clone = new this.constructor(this);\n      state.children.push(clone);\n      return clone[method].apply(clone, arguments);\n    };\n  }, this);\n};\n\nNode.prototype._init = function init(body) {\n  var state = this._baseState;\n\n  assert(state.parent === null);\n  body.call(this);\n\n  // Filter children\n  state.children = state.children.filter(function(child) {\n    return child._baseState.parent === this;\n  }, this);\n  assert.equal(state.children.length, 1, 'Root node can have only one child');\n};\n\nNode.prototype._useArgs = function useArgs(args) {\n  var state = this._baseState;\n\n  // Filter children and args\n  var children = args.filter(function(arg) {\n    return arg instanceof this.constructor;\n  }, this);\n  args = args.filter(function(arg) {\n    return !(arg instanceof this.constructor);\n  }, this);\n\n  if (children.length !== 0) {\n    assert(state.children === null);\n    state.children = children;\n\n    // Replace parent to maintain backward link\n    children.forEach(function(child) {\n      child._baseState.parent = this;\n    }, this);\n  }\n  if (args.length !== 0) {\n    assert(state.args === null);\n    state.args = args;\n    state.reverseArgs = args.map(function(arg) {\n      if (typeof arg !== 'object' || arg.constructor !== Object)\n        return arg;\n\n      var res = {};\n      Object.keys(arg).forEach(function(key) {\n        if (key == (key | 0))\n          key |= 0;\n        var value = arg[key];\n        res[value] = key;\n      });\n      return res;\n    });\n  }\n};\n\n//\n// Overrided methods\n//\n\noverrided.forEach(function(method) {\n  Node.prototype[method] = function _overrided() {\n    var state = this._baseState;\n    throw new Error(method + ' not implemented for encoding: ' + state.enc);\n  };\n});\n\n//\n// Public methods\n//\n\ntags.forEach(function(tag) {\n  Node.prototype[tag] = function _tagMethod() {\n    var state = this._baseState;\n    var args = Array.prototype.slice.call(arguments);\n\n    assert(state.tag === null);\n    state.tag = tag;\n\n    this._useArgs(args);\n\n    return this;\n  };\n});\n\nNode.prototype.use = function use(item) {\n  assert(item);\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.use = item;\n\n  return this;\n};\n\nNode.prototype.optional = function optional() {\n  var state = this._baseState;\n\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.def = function def(val) {\n  var state = this._baseState;\n\n  assert(state['default'] === null);\n  state['default'] = val;\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.explicit = function explicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.explicit = num;\n\n  return this;\n};\n\nNode.prototype.implicit = function implicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.implicit = num;\n\n  return this;\n};\n\nNode.prototype.obj = function obj() {\n  var state = this._baseState;\n  var args = Array.prototype.slice.call(arguments);\n\n  state.obj = true;\n\n  if (args.length !== 0)\n    this._useArgs(args);\n\n  return this;\n};\n\nNode.prototype.key = function key(newKey) {\n  var state = this._baseState;\n\n  assert(state.key === null);\n  state.key = newKey;\n\n  return this;\n};\n\nNode.prototype.any = function any() {\n  var state = this._baseState;\n\n  state.any = true;\n\n  return this;\n};\n\nNode.prototype.choice = function choice(obj) {\n  var state = this._baseState;\n\n  assert(state.choice === null);\n  state.choice = obj;\n  this._useArgs(Object.keys(obj).map(function(key) {\n    return obj[key];\n  }));\n\n  return this;\n};\n\nNode.prototype.contains = function contains(item) {\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.contains = item;\n\n  return this;\n};\n\n//\n// Decoding\n//\n\nNode.prototype._decode = function decode(input, options) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return input.wrapResult(state.children[0]._decode(input, options));\n\n  var result = state['default'];\n  var present = true;\n\n  var prevKey = null;\n  if (state.key !== null)\n    prevKey = input.enterKey(state.key);\n\n  // Check if tag is there\n  if (state.optional) {\n    var tag = null;\n    if (state.explicit !== null)\n      tag = state.explicit;\n    else if (state.implicit !== null)\n      tag = state.implicit;\n    else if (state.tag !== null)\n      tag = state.tag;\n\n    if (tag === null && !state.any) {\n      // Trial and Error\n      var save = input.save();\n      try {\n        if (state.choice === null)\n          this._decodeGeneric(state.tag, input, options);\n        else\n          this._decodeChoice(input, options);\n        present = true;\n      } catch (e) {\n        present = false;\n      }\n      input.restore(save);\n    } else {\n      present = this._peekTag(input, tag, state.any);\n\n      if (input.isError(present))\n        return present;\n    }\n  }\n\n  // Push object on stack\n  var prevObj;\n  if (state.obj && present)\n    prevObj = input.enterObject();\n\n  if (present) {\n    // Unwrap explicit values\n    if (state.explicit !== null) {\n      var explicit = this._decodeTag(input, state.explicit);\n      if (input.isError(explicit))\n        return explicit;\n      input = explicit;\n    }\n\n    var start = input.offset;\n\n    // Unwrap implicit and normal values\n    if (state.use === null && state.choice === null) {\n      if (state.any)\n        var save = input.save();\n      var body = this._decodeTag(\n        input,\n        state.implicit !== null ? state.implicit : state.tag,\n        state.any\n      );\n      if (input.isError(body))\n        return body;\n\n      if (state.any)\n        result = input.raw(save);\n      else\n        input = body;\n    }\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), start, input.length, 'tagged');\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), input.offset, input.length, 'content');\n\n    // Select proper method for tag\n    if (state.any)\n      result = result;\n    else if (state.choice === null)\n      result = this._decodeGeneric(state.tag, input, options);\n    else\n      result = this._decodeChoice(input, options);\n\n    if (input.isError(result))\n      return result;\n\n    // Decode children\n    if (!state.any && state.choice === null && state.children !== null) {\n      state.children.forEach(function decodeChildren(child) {\n        // NOTE: We are ignoring errors here, to let parser continue with other\n        // parts of encoded data\n        child._decode(input, options);\n      });\n    }\n\n    // Decode contained/encoded by schema, only in bit or octet strings\n    if (state.contains && (state.tag === 'octstr' || state.tag === 'bitstr')) {\n      var data = new DecoderBuffer(result);\n      result = this._getUse(state.contains, input._reporterState.obj)\n          ._decode(data, options);\n    }\n  }\n\n  // Pop object\n  if (state.obj && present)\n    result = input.leaveObject(prevObj);\n\n  // Set key\n  if (state.key !== null && (result !== null || present === true))\n    input.leaveKey(prevKey, state.key, result);\n  else if (prevKey !== null)\n    input.exitKey(prevKey);\n\n  return result;\n};\n\nNode.prototype._decodeGeneric = function decodeGeneric(tag, input, options) {\n  var state = this._baseState;\n\n  if (tag === 'seq' || tag === 'set')\n    return null;\n  if (tag === 'seqof' || tag === 'setof')\n    return this._decodeList(input, tag, state.args[0], options);\n  else if (/str$/.test(tag))\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'objid' && state.args)\n    return this._decodeObjid(input, state.args[0], state.args[1], options);\n  else if (tag === 'objid')\n    return this._decodeObjid(input, null, null, options);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._decodeTime(input, tag, options);\n  else if (tag === 'null_')\n    return this._decodeNull(input, options);\n  else if (tag === 'bool')\n    return this._decodeBool(input, options);\n  else if (tag === 'objDesc')\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'int' || tag === 'enum')\n    return this._decodeInt(input, state.args && state.args[0], options);\n\n  if (state.use !== null) {\n    return this._getUse(state.use, input._reporterState.obj)\n        ._decode(input, options);\n  } else {\n    return input.error('unknown tag: ' + tag);\n  }\n};\n\nNode.prototype._getUse = function _getUse(entity, obj) {\n\n  var state = this._baseState;\n  // Create altered use decoder if implicit is set\n  state.useDecoder = this._use(entity, obj);\n  assert(state.useDecoder._baseState.parent === null);\n  state.useDecoder = state.useDecoder._baseState.children[0];\n  if (state.implicit !== state.useDecoder._baseState.implicit) {\n    state.useDecoder = state.useDecoder.clone();\n    state.useDecoder._baseState.implicit = state.implicit;\n  }\n  return state.useDecoder;\n};\n\nNode.prototype._decodeChoice = function decodeChoice(input, options) {\n  var state = this._baseState;\n  var result = null;\n  var match = false;\n\n  Object.keys(state.choice).some(function(key) {\n    var save = input.save();\n    var node = state.choice[key];\n    try {\n      var value = node._decode(input, options);\n      if (input.isError(value))\n        return false;\n\n      result = { type: key, value: value };\n      match = true;\n    } catch (e) {\n      input.restore(save);\n      return false;\n    }\n    return true;\n  }, this);\n\n  if (!match)\n    return input.error('Choice not matched');\n\n  return result;\n};\n\n//\n// Encoding\n//\n\nNode.prototype._createEncoderBuffer = function createEncoderBuffer(data) {\n  return new EncoderBuffer(data, this.reporter);\n};\n\nNode.prototype._encode = function encode(data, reporter, parent) {\n  var state = this._baseState;\n  if (state['default'] !== null && state['default'] === data)\n    return;\n\n  var result = this._encodeValue(data, reporter, parent);\n  if (result === undefined)\n    return;\n\n  if (this._skipDefault(result, reporter, parent))\n    return;\n\n  return result;\n};\n\nNode.prototype._encodeValue = function encode(data, reporter, parent) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return state.children[0]._encode(data, reporter || new Reporter());\n\n  var result = null;\n\n  // Set reporter to share it with a child class\n  this.reporter = reporter;\n\n  // Check if data is there\n  if (state.optional && data === undefined) {\n    if (state['default'] !== null)\n      data = state['default']\n    else\n      return;\n  }\n\n  // Encode children first\n  var content = null;\n  var primitive = false;\n  if (state.any) {\n    // Anything that was given is translated to buffer\n    result = this._createEncoderBuffer(data);\n  } else if (state.choice) {\n    result = this._encodeChoice(data, reporter);\n  } else if (state.contains) {\n    content = this._getUse(state.contains, parent)._encode(data, reporter);\n    primitive = true;\n  } else if (state.children) {\n    content = state.children.map(function(child) {\n      if (child._baseState.tag === 'null_')\n        return child._encode(null, reporter, data);\n\n      if (child._baseState.key === null)\n        return reporter.error('Child should have a key');\n      var prevKey = reporter.enterKey(child._baseState.key);\n\n      if (typeof data !== 'object')\n        return reporter.error('Child expected, but input is not object');\n\n      var res = child._encode(data[child._baseState.key], reporter, data);\n      reporter.leaveKey(prevKey);\n\n      return res;\n    }, this).filter(function(child) {\n      return child;\n    });\n    content = this._createEncoderBuffer(content);\n  } else {\n    if (state.tag === 'seqof' || state.tag === 'setof') {\n      // TODO(indutny): this should be thrown on DSL level\n      if (!(state.args && state.args.length === 1))\n        return reporter.error('Too many args for : ' + state.tag);\n\n      if (!Array.isArray(data))\n        return reporter.error('seqof/setof, but data is not Array');\n\n      var child = this.clone();\n      child._baseState.implicit = null;\n      content = this._createEncoderBuffer(data.map(function(item) {\n        var state = this._baseState;\n\n        return this._getUse(state.args[0], data)._encode(item, reporter);\n      }, child));\n    } else if (state.use !== null) {\n      result = this._getUse(state.use, parent)._encode(data, reporter);\n    } else {\n      content = this._encodePrimitive(state.tag, data);\n      primitive = true;\n    }\n  }\n\n  // Encode data itself\n  var result;\n  if (!state.any && state.choice === null) {\n    var tag = state.implicit !== null ? state.implicit : state.tag;\n    var cls = state.implicit === null ? 'universal' : 'context';\n\n    if (tag === null) {\n      if (state.use === null)\n        reporter.error('Tag could be omitted only for .use()');\n    } else {\n      if (state.use === null)\n        result = this._encodeComposite(tag, primitive, cls, content);\n    }\n  }\n\n  // Wrap in explicit\n  if (state.explicit !== null)\n    result = this._encodeComposite(state.explicit, false, 'context', result);\n\n  return result;\n};\n\nNode.prototype._encodeChoice = function encodeChoice(data, reporter) {\n  var state = this._baseState;\n\n  var node = state.choice[data.type];\n  if (!node) {\n    assert(\n        false,\n        data.type + ' not found in ' +\n            JSON.stringify(Object.keys(state.choice)));\n  }\n  return node._encode(data.value, reporter);\n};\n\nNode.prototype._encodePrimitive = function encodePrimitive(tag, data) {\n  var state = this._baseState;\n\n  if (/str$/.test(tag))\n    return this._encodeStr(data, tag);\n  else if (tag === 'objid' && state.args)\n    return this._encodeObjid(data, state.reverseArgs[0], state.args[1]);\n  else if (tag === 'objid')\n    return this._encodeObjid(data, null, null);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._encodeTime(data, tag);\n  else if (tag === 'null_')\n    return this._encodeNull();\n  else if (tag === 'int' || tag === 'enum')\n    return this._encodeInt(data, state.args && state.reverseArgs[0]);\n  else if (tag === 'bool')\n    return this._encodeBool(data);\n  else if (tag === 'objDesc')\n    return this._encodeStr(data, tag);\n  else\n    throw new Error('Unsupported tag: ' + tag);\n};\n\nNode.prototype._isNumstr = function isNumstr(str) {\n  return /^[0-9 ]*$/.test(str);\n};\n\nNode.prototype._isPrintstr = function isPrintstr(str) {\n  return /^[A-Za-z0-9 '\\(\\)\\+,\\-\\.\\/:=\\?]*$/.test(str);\n};\n","var inherits = require('inherits');\n\nfunction Reporter(options) {\n  this._reporterState = {\n    obj: null,\n    path: [],\n    options: options || {},\n    errors: []\n  };\n}\nexports.Reporter = Reporter;\n\nReporter.prototype.isError = function isError(obj) {\n  return obj instanceof ReporterError;\n};\n\nReporter.prototype.save = function save() {\n  var state = this._reporterState;\n\n  return { obj: state.obj, pathLen: state.path.length };\n};\n\nReporter.prototype.restore = function restore(data) {\n  var state = this._reporterState;\n\n  state.obj = data.obj;\n  state.path = state.path.slice(0, data.pathLen);\n};\n\nReporter.prototype.enterKey = function enterKey(key) {\n  return this._reporterState.path.push(key);\n};\n\nReporter.prototype.exitKey = function exitKey(index) {\n  var state = this._reporterState;\n\n  state.path = state.path.slice(0, index - 1);\n};\n\nReporter.prototype.leaveKey = function leaveKey(index, key, value) {\n  var state = this._reporterState;\n\n  this.exitKey(index);\n  if (state.obj !== null)\n    state.obj[key] = value;\n};\n\nReporter.prototype.path = function path() {\n  return this._reporterState.path.join('/');\n};\n\nReporter.prototype.enterObject = function enterObject() {\n  var state = this._reporterState;\n\n  var prev = state.obj;\n  state.obj = {};\n  return prev;\n};\n\nReporter.prototype.leaveObject = function leaveObject(prev) {\n  var state = this._reporterState;\n\n  var now = state.obj;\n  state.obj = prev;\n  return now;\n};\n\nReporter.prototype.error = function error(msg) {\n  var err;\n  var state = this._reporterState;\n\n  var inherited = msg instanceof ReporterError;\n  if (inherited) {\n    err = msg;\n  } else {\n    err = new ReporterError(state.path.map(function(elem) {\n      return '[' + JSON.stringify(elem) + ']';\n    }).join(''), msg.message || msg, msg.stack);\n  }\n\n  if (!state.options.partial)\n    throw err;\n\n  if (!inherited)\n    state.errors.push(err);\n\n  return err;\n};\n\nReporter.prototype.wrapResult = function wrapResult(result) {\n  var state = this._reporterState;\n  if (!state.options.partial)\n    return result;\n\n  return {\n    result: this.isError(result) ? null : result,\n    errors: state.errors\n  };\n};\n\nfunction ReporterError(path, msg) {\n  this.path = path;\n  this.rethrow(msg);\n};\ninherits(ReporterError, Error);\n\nReporterError.prototype.rethrow = function rethrow(msg) {\n  this.message = msg + ' at: ' + (this.path || '(shallow)');\n  if (Error.captureStackTrace)\n    Error.captureStackTrace(this, ReporterError);\n\n  if (!this.stack) {\n    try {\n      // IE only adds stack when thrown\n      throw new Error(this.message);\n    } catch (e) {\n      this.stack = e.stack;\n    }\n  }\n  return this;\n};\n","\nvar indexOf = [].indexOf;\n\nmodule.exports = function(arr, obj){\n  if (indexOf) return arr.indexOf(obj);\n  for (var i = 0; i < arr.length; ++i) {\n    if (arr[i] === obj) return i;\n  }\n  return -1;\n};","var indexOf = require('indexof');\n\nvar Object_keys = function (obj) {\n    if (Object.keys) return Object.keys(obj)\n    else {\n        var res = [];\n        for (var key in obj) res.push(key)\n        return res;\n    }\n};\n\nvar forEach = function (xs, fn) {\n    if (xs.forEach) return xs.forEach(fn)\n    else for (var i = 0; i < xs.length; i++) {\n        fn(xs[i], i, xs);\n    }\n};\n\nvar defineProp = (function() {\n    try {\n        Object.defineProperty({}, '_', {});\n        return function(obj, name, value) {\n            Object.defineProperty(obj, name, {\n                writable: true,\n                enumerable: false,\n                configurable: true,\n                value: value\n            })\n        };\n    } catch(e) {\n        return function(obj, name, value) {\n            obj[name] = value;\n        };\n    }\n}());\n\nvar globals = ['Array', 'Boolean', 'Date', 'Error', 'EvalError', 'Function',\n'Infinity', 'JSON', 'Math', 'NaN', 'Number', 'Object', 'RangeError',\n'ReferenceError', 'RegExp', 'String', 'SyntaxError', 'TypeError', 'URIError',\n'decodeURI', 'decodeURIComponent', 'encodeURI', 'encodeURIComponent', 'escape',\n'eval', 'isFinite', 'isNaN', 'parseFloat', 'parseInt', 'undefined', 'unescape'];\n\nfunction Context() {}\nContext.prototype = {};\n\nvar Script = exports.Script = function NodeScript (code) {\n    if (!(this instanceof Script)) return new Script(code);\n    this.code = code;\n};\n\nScript.prototype.runInContext = function (context) {\n    if (!(context instanceof Context)) {\n        throw new TypeError(\"needs a 'context' argument.\");\n    }\n    \n    var iframe = document.createElement('iframe');\n    if (!iframe.style) iframe.style = {};\n    iframe.style.display = 'none';\n    \n    document.body.appendChild(iframe);\n    \n    var win = iframe.contentWindow;\n    var wEval = win.eval, wExecScript = win.execScript;\n\n    if (!wEval && wExecScript) {\n        // win.eval() magically appears when this is called in IE:\n        wExecScript.call(win, 'null');\n        wEval = win.eval;\n    }\n    \n    forEach(Object_keys(context), function (key) {\n        win[key] = context[key];\n    });\n    forEach(globals, function (key) {\n        if (context[key]) {\n            win[key] = context[key];\n        }\n    });\n    \n    var winKeys = Object_keys(win);\n\n    var res = wEval.call(win, this.code);\n    \n    forEach(Object_keys(win), function (key) {\n        // Avoid copying circular objects like `top` and `window` by only\n        // updating existing context properties or new properties in the `win`\n        // that was only introduced after the eval.\n        if (key in context || indexOf(winKeys, key) === -1) {\n            context[key] = win[key];\n        }\n    });\n\n    forEach(globals, function (key) {\n        if (!(key in context)) {\n            defineProp(context, key, win[key]);\n        }\n    });\n    \n    document.body.removeChild(iframe);\n    \n    return res;\n};\n\nScript.prototype.runInThisContext = function () {\n    return eval(this.code); // maybe...\n};\n\nScript.prototype.runInNewContext = function (context) {\n    var ctx = Script.createContext(context);\n    var res = this.runInContext(ctx);\n\n    forEach(Object_keys(ctx), function (key) {\n        context[key] = ctx[key];\n    });\n\n    return res;\n};\n\nforEach(Object_keys(Script.prototype), function (name) {\n    exports[name] = Script[name] = function (code) {\n        var s = Script(code);\n        return s[name].apply(s, [].slice.call(arguments, 1));\n    };\n});\n\nexports.createScript = function (code) {\n    return exports.Script(code);\n};\n\nexports.createContext = Script.createContext = function (context) {\n    var copy = new Context();\n    if(typeof context === 'object') {\n        forEach(Object_keys(context), function (key) {\n            copy[key] = context[key];\n        });\n    }\n    return copy;\n};\n","var asn1 = require('../asn1');\nvar inherits = require('inherits');\n\nvar api = exports;\n\napi.define = function define(name, body) {\n  return new Entity(name, body);\n};\n\nfunction Entity(name, body) {\n  this.name = name;\n  this.body = body;\n\n  this.decoders = {};\n  this.encoders = {};\n};\n\nEntity.prototype._createNamed = function createNamed(base) {\n  var named;\n  try {\n    named = require('vm').runInThisContext(\n      '(function ' + this.name + '(entity) {\\n' +\n      '  this._initNamed(entity);\\n' +\n      '})'\n    );\n  } catch (e) {\n    named = function (entity) {\n      this._initNamed(entity);\n    };\n  }\n  inherits(named, base);\n  named.prototype._initNamed = function initnamed(entity) {\n    base.call(this, entity);\n  };\n\n  return new named(this);\n};\n\nEntity.prototype._getDecoder = function _getDecoder(enc) {\n  enc = enc || 'der';\n  // Lazily create decoder\n  if (!this.decoders.hasOwnProperty(enc))\n    this.decoders[enc] = this._createNamed(asn1.decoders[enc]);\n  return this.decoders[enc];\n};\n\nEntity.prototype.decode = function decode(data, enc, options) {\n  return this._getDecoder(enc).decode(data, options);\n};\n\nEntity.prototype._getEncoder = function _getEncoder(enc) {\n  enc = enc || 'der';\n  // Lazily create encoder\n  if (!this.encoders.hasOwnProperty(enc))\n    this.encoders[enc] = this._createNamed(asn1.encoders[enc]);\n  return this.encoders[enc];\n};\n\nEntity.prototype.encode = function encode(data, enc, /* internal */ reporter) {\n  return this._getEncoder(enc).encode(data, reporter);\n};\n","// from https://github.com/indutny/self-signed/blob/gh-pages/lib/asn1.js\n// Fedor, you are amazing.\n'use strict'\n\nvar asn1 = require('asn1.js')\n\nexports.certificate = require('./certificate')\n\nvar RSAPrivateKey = asn1.define('RSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('modulus').int(),\n    this.key('publicExponent').int(),\n    this.key('privateExponent').int(),\n    this.key('prime1').int(),\n    this.key('prime2').int(),\n    this.key('exponent1').int(),\n    this.key('exponent2').int(),\n    this.key('coefficient').int()\n  )\n})\nexports.RSAPrivateKey = RSAPrivateKey\n\nvar RSAPublicKey = asn1.define('RSAPublicKey', function () {\n  this.seq().obj(\n    this.key('modulus').int(),\n    this.key('publicExponent').int()\n  )\n})\nexports.RSAPublicKey = RSAPublicKey\n\nvar PublicKey = asn1.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\nexports.PublicKey = PublicKey\n\nvar AlgorithmIdentifier = asn1.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('none').null_().optional(),\n    this.key('curve').objid().optional(),\n    this.key('params').seq().obj(\n      this.key('p').int(),\n      this.key('q').int(),\n      this.key('g').int()\n    ).optional()\n  )\n})\n\nvar PrivateKeyInfo = asn1.define('PrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\nexports.PrivateKey = PrivateKeyInfo\nvar EncryptedPrivateKeyInfo = asn1.define('EncryptedPrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').seq().obj(\n      this.key('id').objid(),\n      this.key('decrypt').seq().obj(\n        this.key('kde').seq().obj(\n          this.key('id').objid(),\n          this.key('kdeparams').seq().obj(\n            this.key('salt').octstr(),\n            this.key('iters').int()\n          )\n        ),\n        this.key('cipher').seq().obj(\n          this.key('algo').objid(),\n          this.key('iv').octstr()\n        )\n      )\n    ),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\n\nexports.EncryptedPrivateKey = EncryptedPrivateKeyInfo\n\nvar DSAPrivateKey = asn1.define('DSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('p').int(),\n    this.key('q').int(),\n    this.key('g').int(),\n    this.key('pub_key').int(),\n    this.key('priv_key').int()\n  )\n})\nexports.DSAPrivateKey = DSAPrivateKey\n\nexports.DSAparam = asn1.define('DSAparam', function () {\n  this.int()\n})\n\nvar ECPrivateKey = asn1.define('ECPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('privateKey').octstr(),\n    this.key('parameters').optional().explicit(0).use(ECParameters),\n    this.key('publicKey').optional().explicit(1).bitstr()\n  )\n})\nexports.ECPrivateKey = ECPrivateKey\n\nvar ECParameters = asn1.define('ECParameters', function () {\n  this.choice({\n    namedCurve: this.objid()\n  })\n})\n\nexports.signature = asn1.define('signature', function () {\n  this.seq().obj(\n    this.key('r').int(),\n    this.key('s').int()\n  )\n})\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar cachedProperty = utils.cachedProperty;\nvar parseBytes = utils.parseBytes;\n\n/**\n* @param {EDDSA} eddsa - eddsa instance\n* @param {Array<Bytes>|Object} sig -\n* @param {Array<Bytes>|Point} [sig.R] - R point as Point or bytes\n* @param {Array<Bytes>|bn} [sig.S] - S scalar as bn or bytes\n* @param {Array<Bytes>} [sig.Rencoded] - R point encoded\n* @param {Array<Bytes>} [sig.Sencoded] - S scalar encoded\n*/\nfunction Signature(eddsa, sig) {\n  this.eddsa = eddsa;\n\n  if (typeof sig !== 'object')\n    sig = parseBytes(sig);\n\n  if (Array.isArray(sig)) {\n    sig = {\n      R: sig.slice(0, eddsa.encodingLength),\n      S: sig.slice(eddsa.encodingLength)\n    };\n  }\n\n  assert(sig.R && sig.S, 'Signature without R or S');\n\n  if (eddsa.isPoint(sig.R))\n    this._R = sig.R;\n  if (sig.S instanceof BN)\n    this._S = sig.S;\n\n  this._Rencoded = Array.isArray(sig.R) ? sig.R : sig.Rencoded;\n  this._Sencoded = Array.isArray(sig.S) ? sig.S : sig.Sencoded;\n}\n\ncachedProperty(Signature, 'S', function S() {\n  return this.eddsa.decodeInt(this.Sencoded());\n});\n\ncachedProperty(Signature, 'R', function R() {\n  return this.eddsa.decodePoint(this.Rencoded());\n});\n\ncachedProperty(Signature, 'Rencoded', function Rencoded() {\n  return this.eddsa.encodePoint(this.R());\n});\n\ncachedProperty(Signature, 'Sencoded', function Sencoded() {\n  return this.eddsa.encodeInt(this.S());\n});\n\nSignature.prototype.toBytes = function toBytes() {\n  return this.Rencoded().concat(this.Sencoded());\n};\n\nSignature.prototype.toHex = function toHex() {\n  return utils.encode(this.toBytes(), 'hex').toUpperCase();\n};\n\nmodule.exports = Signature;\n","'use strict';\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar parseBytes = utils.parseBytes;\nvar cachedProperty = utils.cachedProperty;\n\n/**\n* @param {EDDSA} eddsa - instance\n* @param {Object} params - public/private key parameters\n*\n* @param {Array<Byte>} [params.secret] - secret seed bytes\n* @param {Point} [params.pub] - public key point (aka `A` in eddsa terms)\n* @param {Array<Byte>} [params.pub] - public key point encoded as bytes\n*\n*/\nfunction KeyPair(eddsa, params) {\n  this.eddsa = eddsa;\n  this._secret = parseBytes(params.secret);\n  if (eddsa.isPoint(params.pub))\n    this._pub = params.pub;\n  else\n    this._pubBytes = parseBytes(params.pub);\n}\n\nKeyPair.fromPublic = function fromPublic(eddsa, pub) {\n  if (pub instanceof KeyPair)\n    return pub;\n  return new KeyPair(eddsa, { pub: pub });\n};\n\nKeyPair.fromSecret = function fromSecret(eddsa, secret) {\n  if (secret instanceof KeyPair)\n    return secret;\n  return new KeyPair(eddsa, { secret: secret });\n};\n\nKeyPair.prototype.secret = function secret() {\n  return this._secret;\n};\n\ncachedProperty(KeyPair, 'pubBytes', function pubBytes() {\n  return this.eddsa.encodePoint(this.pub());\n});\n\ncachedProperty(KeyPair, 'pub', function pub() {\n  if (this._pubBytes)\n    return this.eddsa.decodePoint(this._pubBytes);\n  return this.eddsa.g.mul(this.priv());\n});\n\ncachedProperty(KeyPair, 'privBytes', function privBytes() {\n  var eddsa = this.eddsa;\n  var hash = this.hash();\n  var lastIx = eddsa.encodingLength - 1;\n\n  var a = hash.slice(0, eddsa.encodingLength);\n  a[0] &= 248;\n  a[lastIx] &= 127;\n  a[lastIx] |= 64;\n\n  return a;\n});\n\ncachedProperty(KeyPair, 'priv', function priv() {\n  return this.eddsa.decodeInt(this.privBytes());\n});\n\ncachedProperty(KeyPair, 'hash', function hash() {\n  return this.eddsa.hash().update(this.secret()).digest();\n});\n\ncachedProperty(KeyPair, 'messagePrefix', function messagePrefix() {\n  return this.hash().slice(this.eddsa.encodingLength);\n});\n\nKeyPair.prototype.sign = function sign(message) {\n  assert(this._secret, 'KeyPair can only verify');\n  return this.eddsa.sign(message, this);\n};\n\nKeyPair.prototype.verify = function verify(message, sig) {\n  return this.eddsa.verify(message, sig, this);\n};\n\nKeyPair.prototype.getSecret = function getSecret(enc) {\n  assert(this._secret, 'KeyPair is public only');\n  return utils.encode(this.secret(), enc);\n};\n\nKeyPair.prototype.getPublic = function getPublic(enc) {\n  return utils.encode(this.pubBytes(), enc);\n};\n\nmodule.exports = KeyPair;\n","'use strict';\n\nvar hash = require('hash.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar parseBytes = utils.parseBytes;\nvar KeyPair = require('./key');\nvar Signature = require('./signature');\n\nfunction EDDSA(curve) {\n  assert(curve === 'ed25519', 'only tested with ed25519 so far');\n\n  if (!(this instanceof EDDSA))\n    return new EDDSA(curve);\n\n  var curve = elliptic.curves[curve].curve;\n  this.curve = curve;\n  this.g = curve.g;\n  this.g.precompute(curve.n.bitLength() + 1);\n\n  this.pointClass = curve.point().constructor;\n  this.encodingLength = Math.ceil(curve.n.bitLength() / 8);\n  this.hash = hash.sha512;\n}\n\nmodule.exports = EDDSA;\n\n/**\n* @param {Array|String} message - message bytes\n* @param {Array|String|KeyPair} secret - secret bytes or a keypair\n* @returns {Signature} - signature\n*/\nEDDSA.prototype.sign = function sign(message, secret) {\n  message = parseBytes(message);\n  var key = this.keyFromSecret(secret);\n  var r = this.hashInt(key.messagePrefix(), message);\n  var R = this.g.mul(r);\n  var Rencoded = this.encodePoint(R);\n  var s_ = this.hashInt(Rencoded, key.pubBytes(), message)\n               .mul(key.priv());\n  var S = r.add(s_).umod(this.curve.n);\n  return this.makeSignature({ R: R, S: S, Rencoded: Rencoded });\n};\n\n/**\n* @param {Array} message - message bytes\n* @param {Array|String|Signature} sig - sig bytes\n* @param {Array|String|Point|KeyPair} pub - public key\n* @returns {Boolean} - true if public key matches sig of message\n*/\nEDDSA.prototype.verify = function verify(message, sig, pub) {\n  message = parseBytes(message);\n  sig = this.makeSignature(sig);\n  var key = this.keyFromPublic(pub);\n  var h = this.hashInt(sig.Rencoded(), key.pubBytes(), message);\n  var SG = this.g.mul(sig.S());\n  var RplusAh = sig.R().add(key.pub().mul(h));\n  return RplusAh.eq(SG);\n};\n\nEDDSA.prototype.hashInt = function hashInt() {\n  var hash = this.hash();\n  for (var i = 0; i < arguments.length; i++)\n    hash.update(arguments[i]);\n  return utils.intFromLE(hash.digest()).umod(this.curve.n);\n};\n\nEDDSA.prototype.keyFromPublic = function keyFromPublic(pub) {\n  return KeyPair.fromPublic(this, pub);\n};\n\nEDDSA.prototype.keyFromSecret = function keyFromSecret(secret) {\n  return KeyPair.fromSecret(this, secret);\n};\n\nEDDSA.prototype.makeSignature = function makeSignature(sig) {\n  if (sig instanceof Signature)\n    return sig;\n  return new Signature(this, sig);\n};\n\n/**\n* * https://tools.ietf.org/html/draft-josefsson-eddsa-ed25519-03#section-5.2\n*\n* EDDSA defines methods for encoding and decoding points and integers. These are\n* helper convenience methods, that pass along to utility functions implied\n* parameters.\n*\n*/\nEDDSA.prototype.encodePoint = function encodePoint(point) {\n  var enc = point.getY().toArray('le', this.encodingLength);\n  enc[this.encodingLength - 1] |= point.getX().isOdd() ? 0x80 : 0;\n  return enc;\n};\n\nEDDSA.prototype.decodePoint = function decodePoint(bytes) {\n  bytes = utils.parseBytes(bytes);\n\n  var lastIx = bytes.length - 1;\n  var normed = bytes.slice(0, lastIx).concat(bytes[lastIx] & ~0x80);\n  var xIsOdd = (bytes[lastIx] & 0x80) !== 0;\n\n  var y = utils.intFromLE(normed);\n  return this.curve.pointFromY(y, xIsOdd);\n};\n\nEDDSA.prototype.encodeInt = function encodeInt(num) {\n  return num.toArray('le', this.encodingLength);\n};\n\nEDDSA.prototype.decodeInt = function decodeInt(bytes) {\n  return utils.intFromLE(bytes);\n};\n\nEDDSA.prototype.isPoint = function isPoint(val) {\n  return val instanceof this.pointClass;\n};\n","'use strict';\n\nvar BN = require('bn.js');\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nfunction Signature(options, enc) {\n  if (options instanceof Signature)\n    return options;\n\n  if (this._importDER(options, enc))\n    return;\n\n  assert(options.r && options.s, 'Signature without r or s');\n  this.r = new BN(options.r, 16);\n  this.s = new BN(options.s, 16);\n  if (options.recoveryParam === undefined)\n    this.recoveryParam = null;\n  else\n    this.recoveryParam = options.recoveryParam;\n}\nmodule.exports = Signature;\n\nfunction Position() {\n  this.place = 0;\n}\n\nfunction getLength(buf, p) {\n  var initial = buf[p.place++];\n  if (!(initial & 0x80)) {\n    return initial;\n  }\n  var octetLen = initial & 0xf;\n  var val = 0;\n  for (var i = 0, off = p.place; i < octetLen; i++, off++) {\n    val <<= 8;\n    val |= buf[off];\n  }\n  p.place = off;\n  return val;\n}\n\nfunction rmPadding(buf) {\n  var i = 0;\n  var len = buf.length - 1;\n  while (!buf[i] && !(buf[i + 1] & 0x80) && i < len) {\n    i++;\n  }\n  if (i === 0) {\n    return buf;\n  }\n  return buf.slice(i);\n}\n\nSignature.prototype._importDER = function _importDER(data, enc) {\n  data = utils.toArray(data, enc);\n  var p = new Position();\n  if (data[p.place++] !== 0x30) {\n    return false;\n  }\n  var len = getLength(data, p);\n  if ((len + p.place) !== data.length) {\n    return false;\n  }\n  if (data[p.place++] !== 0x02) {\n    return false;\n  }\n  var rlen = getLength(data, p);\n  var r = data.slice(p.place, rlen + p.place);\n  p.place += rlen;\n  if (data[p.place++] !== 0x02) {\n    return false;\n  }\n  var slen = getLength(data, p);\n  if (data.length !== slen + p.place) {\n    return false;\n  }\n  var s = data.slice(p.place, slen + p.place);\n  if (r[0] === 0 && (r[1] & 0x80)) {\n    r = r.slice(1);\n  }\n  if (s[0] === 0 && (s[1] & 0x80)) {\n    s = s.slice(1);\n  }\n\n  this.r = new BN(r);\n  this.s = new BN(s);\n  this.recoveryParam = null;\n\n  return true;\n};\n\nfunction constructLength(arr, len) {\n  if (len < 0x80) {\n    arr.push(len);\n    return;\n  }\n  var octets = 1 + (Math.log(len) / Math.LN2 >>> 3);\n  arr.push(octets | 0x80);\n  while (--octets) {\n    arr.push((len >>> (octets << 3)) & 0xff);\n  }\n  arr.push(len);\n}\n\nSignature.prototype.toDER = function toDER(enc) {\n  var r = this.r.toArray();\n  var s = this.s.toArray();\n\n  // Pad values\n  if (r[0] & 0x80)\n    r = [ 0 ].concat(r);\n  // Pad values\n  if (s[0] & 0x80)\n    s = [ 0 ].concat(s);\n\n  r = rmPadding(r);\n  s = rmPadding(s);\n\n  while (!s[0] && !(s[1] & 0x80)) {\n    s = s.slice(1);\n  }\n  var arr = [ 0x02 ];\n  constructLength(arr, r.length);\n  arr = arr.concat(r);\n  arr.push(0x02);\n  constructLength(arr, s.length);\n  var backHalf = arr.concat(s);\n  var res = [ 0x30 ];\n  constructLength(res, backHalf.length);\n  res = res.concat(backHalf);\n  return utils.encode(res, enc);\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nfunction KeyPair(ec, options) {\n  this.ec = ec;\n  this.priv = null;\n  this.pub = null;\n\n  // KeyPair(ec, { priv: ..., pub: ... })\n  if (options.priv)\n    this._importPrivate(options.priv, options.privEnc);\n  if (options.pub)\n    this._importPublic(options.pub, options.pubEnc);\n}\nmodule.exports = KeyPair;\n\nKeyPair.fromPublic = function fromPublic(ec, pub, enc) {\n  if (pub instanceof KeyPair)\n    return pub;\n\n  return new KeyPair(ec, {\n    pub: pub,\n    pubEnc: enc\n  });\n};\n\nKeyPair.fromPrivate = function fromPrivate(ec, priv, enc) {\n  if (priv instanceof KeyPair)\n    return priv;\n\n  return new KeyPair(ec, {\n    priv: priv,\n    privEnc: enc\n  });\n};\n\nKeyPair.prototype.validate = function validate() {\n  var pub = this.getPublic();\n\n  if (pub.isInfinity())\n    return { result: false, reason: 'Invalid public key' };\n  if (!pub.validate())\n    return { result: false, reason: 'Public key is not a point' };\n  if (!pub.mul(this.ec.curve.n).isInfinity())\n    return { result: false, reason: 'Public key * N != O' };\n\n  return { result: true, reason: null };\n};\n\nKeyPair.prototype.getPublic = function getPublic(compact, enc) {\n  // compact is optional argument\n  if (typeof compact === 'string') {\n    enc = compact;\n    compact = null;\n  }\n\n  if (!this.pub)\n    this.pub = this.ec.g.mul(this.priv);\n\n  if (!enc)\n    return this.pub;\n\n  return this.pub.encode(enc, compact);\n};\n\nKeyPair.prototype.getPrivate = function getPrivate(enc) {\n  if (enc === 'hex')\n    return this.priv.toString(16, 2);\n  else\n    return this.priv;\n};\n\nKeyPair.prototype._importPrivate = function _importPrivate(key, enc) {\n  this.priv = new BN(key, enc || 16);\n\n  // Ensure that the priv won't be bigger than n, otherwise we may fail\n  // in fixed multiplication method\n  this.priv = this.priv.umod(this.ec.curve.n);\n};\n\nKeyPair.prototype._importPublic = function _importPublic(key, enc) {\n  if (key.x || key.y) {\n    // Montgomery points only have an `x` coordinate.\n    // Weierstrass/Edwards points on the other hand have both `x` and\n    // `y` coordinates.\n    if (this.ec.curve.type === 'mont') {\n      assert(key.x, 'Need x coordinate');\n    } else if (this.ec.curve.type === 'short' ||\n               this.ec.curve.type === 'edwards') {\n      assert(key.x && key.y, 'Need both x and y coordinate');\n    }\n    this.pub = this.ec.curve.point(key.x, key.y);\n    return;\n  }\n  this.pub = this.ec.curve.decodePoint(key, enc);\n};\n\n// ECDH\nKeyPair.prototype.derive = function derive(pub) {\n  return pub.mul(this.priv).getX();\n};\n\n// ECDSA\nKeyPair.prototype.sign = function sign(msg, enc, options) {\n  return this.ec.sign(msg, this, enc, options);\n};\n\nKeyPair.prototype.verify = function verify(msg, signature) {\n  return this.ec.verify(msg, signature, this);\n};\n\nKeyPair.prototype.inspect = function inspect() {\n  return '<Key priv: ' + (this.priv && this.priv.toString(16, 2)) +\n         ' pub: ' + (this.pub && this.pub.inspect()) + ' >';\n};\n","'use strict';\n\nvar hash = require('hash.js');\nvar utils = require('minimalistic-crypto-utils');\nvar assert = require('minimalistic-assert');\n\nfunction HmacDRBG(options) {\n  if (!(this instanceof HmacDRBG))\n    return new HmacDRBG(options);\n  this.hash = options.hash;\n  this.predResist = !!options.predResist;\n\n  this.outLen = this.hash.outSize;\n  this.minEntropy = options.minEntropy || this.hash.hmacStrength;\n\n  this._reseed = null;\n  this.reseedInterval = null;\n  this.K = null;\n  this.V = null;\n\n  var entropy = utils.toArray(options.entropy, options.entropyEnc || 'hex');\n  var nonce = utils.toArray(options.nonce, options.nonceEnc || 'hex');\n  var pers = utils.toArray(options.pers, options.persEnc || 'hex');\n  assert(entropy.length >= (this.minEntropy / 8),\n         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');\n  this._init(entropy, nonce, pers);\n}\nmodule.exports = HmacDRBG;\n\nHmacDRBG.prototype._init = function init(entropy, nonce, pers) {\n  var seed = entropy.concat(nonce).concat(pers);\n\n  this.K = new Array(this.outLen / 8);\n  this.V = new Array(this.outLen / 8);\n  for (var i = 0; i < this.V.length; i++) {\n    this.K[i] = 0x00;\n    this.V[i] = 0x01;\n  }\n\n  this._update(seed);\n  this._reseed = 1;\n  this.reseedInterval = 0x1000000000000;  // 2^48\n};\n\nHmacDRBG.prototype._hmac = function hmac() {\n  return new hash.hmac(this.hash, this.K);\n};\n\nHmacDRBG.prototype._update = function update(seed) {\n  var kmac = this._hmac()\n                 .update(this.V)\n                 .update([ 0x00 ]);\n  if (seed)\n    kmac = kmac.update(seed);\n  this.K = kmac.digest();\n  this.V = this._hmac().update(this.V).digest();\n  if (!seed)\n    return;\n\n  this.K = this._hmac()\n               .update(this.V)\n               .update([ 0x01 ])\n               .update(seed)\n               .digest();\n  this.V = this._hmac().update(this.V).digest();\n};\n\nHmacDRBG.prototype.reseed = function reseed(entropy, entropyEnc, add, addEnc) {\n  // Optional entropy enc\n  if (typeof entropyEnc !== 'string') {\n    addEnc = add;\n    add = entropyEnc;\n    entropyEnc = null;\n  }\n\n  entropy = utils.toArray(entropy, entropyEnc);\n  add = utils.toArray(add, addEnc);\n\n  assert(entropy.length >= (this.minEntropy / 8),\n         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');\n\n  this._update(entropy.concat(add || []));\n  this._reseed = 1;\n};\n\nHmacDRBG.prototype.generate = function generate(len, enc, add, addEnc) {\n  if (this._reseed > this.reseedInterval)\n    throw new Error('Reseed is required');\n\n  // Optional encoding\n  if (typeof enc !== 'string') {\n    addEnc = add;\n    add = enc;\n    enc = null;\n  }\n\n  // Optional additional data\n  if (add) {\n    add = utils.toArray(add, addEnc || 'hex');\n    this._update(add);\n  }\n\n  var temp = [];\n  while (temp.length < len) {\n    this.V = this._hmac().update(this.V).digest();\n    temp = temp.concat(this.V);\n  }\n\n  var res = temp.slice(0, len);\n  this._update(add);\n  this._reseed++;\n  return utils.encode(res, enc);\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar HmacDRBG = require('hmac-drbg');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nvar KeyPair = require('./key');\nvar Signature = require('./signature');\n\nfunction EC(options) {\n  if (!(this instanceof EC))\n    return new EC(options);\n\n  // Shortcut `elliptic.ec(curve-name)`\n  if (typeof options === 'string') {\n    assert(elliptic.curves.hasOwnProperty(options), 'Unknown curve ' + options);\n\n    options = elliptic.curves[options];\n  }\n\n  // Shortcut for `elliptic.ec(elliptic.curves.curveName)`\n  if (options instanceof elliptic.curves.PresetCurve)\n    options = { curve: options };\n\n  this.curve = options.curve.curve;\n  this.n = this.curve.n;\n  this.nh = this.n.ushrn(1);\n  this.g = this.curve.g;\n\n  // Point on curve\n  this.g = options.curve.g;\n  this.g.precompute(options.curve.n.bitLength() + 1);\n\n  // Hash for function for DRBG\n  this.hash = options.hash || options.curve.hash;\n}\nmodule.exports = EC;\n\nEC.prototype.keyPair = function keyPair(options) {\n  return new KeyPair(this, options);\n};\n\nEC.prototype.keyFromPrivate = function keyFromPrivate(priv, enc) {\n  return KeyPair.fromPrivate(this, priv, enc);\n};\n\nEC.prototype.keyFromPublic = function keyFromPublic(pub, enc) {\n  return KeyPair.fromPublic(this, pub, enc);\n};\n\nEC.prototype.genKeyPair = function genKeyPair(options) {\n  if (!options)\n    options = {};\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8',\n    entropy: options.entropy || elliptic.rand(this.hash.hmacStrength),\n    entropyEnc: options.entropy && options.entropyEnc || 'utf8',\n    nonce: this.n.toArray()\n  });\n\n  var bytes = this.n.byteLength();\n  var ns2 = this.n.sub(new BN(2));\n  do {\n    var priv = new BN(drbg.generate(bytes));\n    if (priv.cmp(ns2) > 0)\n      continue;\n\n    priv.iaddn(1);\n    return this.keyFromPrivate(priv);\n  } while (true);\n};\n\nEC.prototype._truncateToN = function truncateToN(msg, truncOnly) {\n  var delta = msg.byteLength() * 8 - this.n.bitLength();\n  if (delta > 0)\n    msg = msg.ushrn(delta);\n  if (!truncOnly && msg.cmp(this.n) >= 0)\n    return msg.sub(this.n);\n  else\n    return msg;\n};\n\nEC.prototype.sign = function sign(msg, key, enc, options) {\n  if (typeof enc === 'object') {\n    options = enc;\n    enc = null;\n  }\n  if (!options)\n    options = {};\n\n  key = this.keyFromPrivate(key, enc);\n  msg = this._truncateToN(new BN(msg, 16));\n\n  // Zero-extend key to provide enough entropy\n  var bytes = this.n.byteLength();\n  var bkey = key.getPrivate().toArray('be', bytes);\n\n  // Zero-extend nonce to have the same byte size as N\n  var nonce = msg.toArray('be', bytes);\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    entropy: bkey,\n    nonce: nonce,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8'\n  });\n\n  // Number of bytes to generate\n  var ns1 = this.n.sub(new BN(1));\n\n  for (var iter = 0; true; iter++) {\n    var k = options.k ?\n        options.k(iter) :\n        new BN(drbg.generate(this.n.byteLength()));\n    k = this._truncateToN(k, true);\n    if (k.cmpn(1) <= 0 || k.cmp(ns1) >= 0)\n      continue;\n\n    var kp = this.g.mul(k);\n    if (kp.isInfinity())\n      continue;\n\n    var kpX = kp.getX();\n    var r = kpX.umod(this.n);\n    if (r.cmpn(0) === 0)\n      continue;\n\n    var s = k.invm(this.n).mul(r.mul(key.getPrivate()).iadd(msg));\n    s = s.umod(this.n);\n    if (s.cmpn(0) === 0)\n      continue;\n\n    var recoveryParam = (kp.getY().isOdd() ? 1 : 0) |\n                        (kpX.cmp(r) !== 0 ? 2 : 0);\n\n    // Use complement of `s`, if it is > `n / 2`\n    if (options.canonical && s.cmp(this.nh) > 0) {\n      s = this.n.sub(s);\n      recoveryParam ^= 1;\n    }\n\n    return new Signature({ r: r, s: s, recoveryParam: recoveryParam });\n  }\n};\n\nEC.prototype.verify = function verify(msg, signature, key, enc) {\n  msg = this._truncateToN(new BN(msg, 16));\n  key = this.keyFromPublic(key, enc);\n  signature = new Signature(signature, 'hex');\n\n  // Perform primitive values validation\n  var r = signature.r;\n  var s = signature.s;\n  if (r.cmpn(1) < 0 || r.cmp(this.n) >= 0)\n    return false;\n  if (s.cmpn(1) < 0 || s.cmp(this.n) >= 0)\n    return false;\n\n  // Validate signature\n  var sinv = s.invm(this.n);\n  var u1 = sinv.mul(msg).umod(this.n);\n  var u2 = sinv.mul(r).umod(this.n);\n\n  if (!this.curve._maxwellTrick) {\n    var p = this.g.mulAdd(u1, key.getPublic(), u2);\n    if (p.isInfinity())\n      return false;\n\n    return p.getX().umod(this.n).cmp(r) === 0;\n  }\n\n  // NOTE: Greg Maxwell's trick, inspired by:\n  // https://git.io/vad3K\n\n  var p = this.g.jmulAdd(u1, key.getPublic(), u2);\n  if (p.isInfinity())\n    return false;\n\n  // Compare `p.x` of Jacobian point with `r`,\n  // this will do `p.x == r * p.z^2` instead of multiplying `p.x` by the\n  // inverse of `p.z^2`\n  return p.eqXToP(r);\n};\n\nEC.prototype.recoverPubKey = function(msg, signature, j, enc) {\n  assert((3 & j) === j, 'The recovery param is more than two bits');\n  signature = new Signature(signature, enc);\n\n  var n = this.n;\n  var e = new BN(msg);\n  var r = signature.r;\n  var s = signature.s;\n\n  // A set LSB signifies that the y-coordinate is odd\n  var isYOdd = j & 1;\n  var isSecondKey = j >> 1;\n  if (r.cmp(this.curve.p.umod(this.curve.n)) >= 0 && isSecondKey)\n    throw new Error('Unable to find sencond key candinate');\n\n  // 1.1. Let x = r + jn.\n  if (isSecondKey)\n    r = this.curve.pointFromX(r.add(this.curve.n), isYOdd);\n  else\n    r = this.curve.pointFromX(r, isYOdd);\n\n  var rInv = signature.r.invm(n);\n  var s1 = n.sub(e).mul(rInv).umod(n);\n  var s2 = s.mul(rInv).umod(n);\n\n  // 1.6.1 Compute Q = r^-1 (sR -  eG)\n  //               Q = r^-1 (sR + -eG)\n  return this.g.mulAdd(s1, r, s2);\n};\n\nEC.prototype.getKeyRecoveryParam = function(e, signature, Q, enc) {\n  signature = new Signature(signature, enc);\n  if (signature.recoveryParam !== null)\n    return signature.recoveryParam;\n\n  for (var i = 0; i < 4; i++) {\n    var Qprime;\n    try {\n      Qprime = this.recoverPubKey(e, signature, i);\n    } catch (e) {\n      continue;\n    }\n\n    if (Qprime.eq(Q))\n      return i;\n  }\n  throw new Error('Unable to find valid recovery factor');\n};\n","module.exports = {\n  doubles: {\n    step: 4,\n    points: [\n      [\n        'e60fce93b59e9ec53011aabc21c23e97b2a31369b87a5ae9c44ee89e2a6dec0a',\n        'f7e3507399e595929db99f34f57937101296891e44d23f0be1f32cce69616821'\n      ],\n      [\n        '8282263212c609d9ea2a6e3e172de238d8c39cabd5ac1ca10646e23fd5f51508',\n        '11f8a8098557dfe45e8256e830b60ace62d613ac2f7b17bed31b6eaff6e26caf'\n      ],\n      [\n        '175e159f728b865a72f99cc6c6fc846de0b93833fd2222ed73fce5b551e5b739',\n        'd3506e0d9e3c79eba4ef97a51ff71f5eacb5955add24345c6efa6ffee9fed695'\n      ],\n      [\n        '363d90d447b00c9c99ceac05b6262ee053441c7e55552ffe526bad8f83ff4640',\n        '4e273adfc732221953b445397f3363145b9a89008199ecb62003c7f3bee9de9'\n      ],\n      [\n        '8b4b5f165df3c2be8c6244b5b745638843e4a781a15bcd1b69f79a55dffdf80c',\n        '4aad0a6f68d308b4b3fbd7813ab0da04f9e336546162ee56b3eff0c65fd4fd36'\n      ],\n      [\n        '723cbaa6e5db996d6bf771c00bd548c7b700dbffa6c0e77bcb6115925232fcda',\n        '96e867b5595cc498a921137488824d6e2660a0653779494801dc069d9eb39f5f'\n      ],\n      [\n        'eebfa4d493bebf98ba5feec812c2d3b50947961237a919839a533eca0e7dd7fa',\n        '5d9a8ca3970ef0f269ee7edaf178089d9ae4cdc3a711f712ddfd4fdae1de8999'\n      ],\n      [\n        '100f44da696e71672791d0a09b7bde459f1215a29b3c03bfefd7835b39a48db0',\n        'cdd9e13192a00b772ec8f3300c090666b7ff4a18ff5195ac0fbd5cd62bc65a09'\n      ],\n      [\n        'e1031be262c7ed1b1dc9227a4a04c017a77f8d4464f3b3852c8acde6e534fd2d',\n        '9d7061928940405e6bb6a4176597535af292dd419e1ced79a44f18f29456a00d'\n      ],\n      [\n        'feea6cae46d55b530ac2839f143bd7ec5cf8b266a41d6af52d5e688d9094696d',\n        'e57c6b6c97dce1bab06e4e12bf3ecd5c981c8957cc41442d3155debf18090088'\n      ],\n      [\n        'da67a91d91049cdcb367be4be6ffca3cfeed657d808583de33fa978bc1ec6cb1',\n        '9bacaa35481642bc41f463f7ec9780e5dec7adc508f740a17e9ea8e27a68be1d'\n      ],\n      [\n        '53904faa0b334cdda6e000935ef22151ec08d0f7bb11069f57545ccc1a37b7c0',\n        '5bc087d0bc80106d88c9eccac20d3c1c13999981e14434699dcb096b022771c8'\n      ],\n      [\n        '8e7bcd0bd35983a7719cca7764ca906779b53a043a9b8bcaeff959f43ad86047',\n        '10b7770b2a3da4b3940310420ca9514579e88e2e47fd68b3ea10047e8460372a'\n      ],\n      [\n        '385eed34c1cdff21e6d0818689b81bde71a7f4f18397e6690a841e1599c43862',\n        '283bebc3e8ea23f56701de19e9ebf4576b304eec2086dc8cc0458fe5542e5453'\n      ],\n      [\n        '6f9d9b803ecf191637c73a4413dfa180fddf84a5947fbc9c606ed86c3fac3a7',\n        '7c80c68e603059ba69b8e2a30e45c4d47ea4dd2f5c281002d86890603a842160'\n      ],\n      [\n        '3322d401243c4e2582a2147c104d6ecbf774d163db0f5e5313b7e0e742d0e6bd',\n        '56e70797e9664ef5bfb019bc4ddaf9b72805f63ea2873af624f3a2e96c28b2a0'\n      ],\n      [\n        '85672c7d2de0b7da2bd1770d89665868741b3f9af7643397721d74d28134ab83',\n        '7c481b9b5b43b2eb6374049bfa62c2e5e77f17fcc5298f44c8e3094f790313a6'\n      ],\n      [\n        '948bf809b1988a46b06c9f1919413b10f9226c60f668832ffd959af60c82a0a',\n        '53a562856dcb6646dc6b74c5d1c3418c6d4dff08c97cd2bed4cb7f88d8c8e589'\n      ],\n      [\n        '6260ce7f461801c34f067ce0f02873a8f1b0e44dfc69752accecd819f38fd8e8',\n        'bc2da82b6fa5b571a7f09049776a1ef7ecd292238051c198c1a84e95b2b4ae17'\n      ],\n      [\n        'e5037de0afc1d8d43d8348414bbf4103043ec8f575bfdc432953cc8d2037fa2d',\n        '4571534baa94d3b5f9f98d09fb990bddbd5f5b03ec481f10e0e5dc841d755bda'\n      ],\n      [\n        'e06372b0f4a207adf5ea905e8f1771b4e7e8dbd1c6a6c5b725866a0ae4fce725',\n        '7a908974bce18cfe12a27bb2ad5a488cd7484a7787104870b27034f94eee31dd'\n      ],\n      [\n        '213c7a715cd5d45358d0bbf9dc0ce02204b10bdde2a3f58540ad6908d0559754',\n        '4b6dad0b5ae462507013ad06245ba190bb4850f5f36a7eeddff2c27534b458f2'\n      ],\n      [\n        '4e7c272a7af4b34e8dbb9352a5419a87e2838c70adc62cddf0cc3a3b08fbd53c',\n        '17749c766c9d0b18e16fd09f6def681b530b9614bff7dd33e0b3941817dcaae6'\n      ],\n      [\n        'fea74e3dbe778b1b10f238ad61686aa5c76e3db2be43057632427e2840fb27b6',\n        '6e0568db9b0b13297cf674deccb6af93126b596b973f7b77701d3db7f23cb96f'\n      ],\n      [\n        '76e64113f677cf0e10a2570d599968d31544e179b760432952c02a4417bdde39',\n        'c90ddf8dee4e95cf577066d70681f0d35e2a33d2b56d2032b4b1752d1901ac01'\n      ],\n      [\n        'c738c56b03b2abe1e8281baa743f8f9a8f7cc643df26cbee3ab150242bcbb891',\n        '893fb578951ad2537f718f2eacbfbbbb82314eef7880cfe917e735d9699a84c3'\n      ],\n      [\n        'd895626548b65b81e264c7637c972877d1d72e5f3a925014372e9f6588f6c14b',\n        'febfaa38f2bc7eae728ec60818c340eb03428d632bb067e179363ed75d7d991f'\n      ],\n      [\n        'b8da94032a957518eb0f6433571e8761ceffc73693e84edd49150a564f676e03',\n        '2804dfa44805a1e4d7c99cc9762808b092cc584d95ff3b511488e4e74efdf6e7'\n      ],\n      [\n        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'd3ae41047dd7ca065dbf8ed77b992439983005cd72e16d6f996a5316d36966bb',\n        'bd1aeb21ad22ebb22a10f0303417c6d964f8cdd7df0aca614b10dc14d125ac46'\n      ],\n      [\n        '463e2763d885f958fc66cdd22800f0a487197d0a82e377b49f80af87c897b065',\n        'bfefacdb0e5d0fd7df3a311a94de062b26b80c61fbc97508b79992671ef7ca7f'\n      ],\n      [\n        '7985fdfd127c0567c6f53ec1bb63ec3158e597c40bfe747c83cddfc910641917',\n        '603c12daf3d9862ef2b25fe1de289aed24ed291e0ec6708703a5bd567f32ed03'\n      ],\n      [\n        '74a1ad6b5f76e39db2dd249410eac7f99e74c59cb83d2d0ed5ff1543da7703e9',\n        'cc6157ef18c9c63cd6193d83631bbea0093e0968942e8c33d5737fd790e0db08'\n      ],\n      [\n        '30682a50703375f602d416664ba19b7fc9bab42c72747463a71d0896b22f6da3',\n        '553e04f6b018b4fa6c8f39e7f311d3176290d0e0f19ca73f17714d9977a22ff8'\n      ],\n      [\n        '9e2158f0d7c0d5f26c3791efefa79597654e7a2b2464f52b1ee6c1347769ef57',\n        '712fcdd1b9053f09003a3481fa7762e9ffd7c8ef35a38509e2fbf2629008373'\n      ],\n      [\n        '176e26989a43c9cfeba4029c202538c28172e566e3c4fce7322857f3be327d66',\n        'ed8cc9d04b29eb877d270b4878dc43c19aefd31f4eee09ee7b47834c1fa4b1c3'\n      ],\n      [\n        '75d46efea3771e6e68abb89a13ad747ecf1892393dfc4f1b7004788c50374da8',\n        '9852390a99507679fd0b86fd2b39a868d7efc22151346e1a3ca4726586a6bed8'\n      ],\n      [\n        '809a20c67d64900ffb698c4c825f6d5f2310fb0451c869345b7319f645605721',\n        '9e994980d9917e22b76b061927fa04143d096ccc54963e6a5ebfa5f3f8e286c1'\n      ],\n      [\n        '1b38903a43f7f114ed4500b4eac7083fdefece1cf29c63528d563446f972c180',\n        '4036edc931a60ae889353f77fd53de4a2708b26b6f5da72ad3394119daf408f9'\n      ]\n    ]\n  }\n};\n","'use strict';\n\nvar utils = require('./utils');\nvar assert = require('minimalistic-assert');\n\nfunction Hmac(hash, key, enc) {\n  if (!(this instanceof Hmac))\n    return new Hmac(hash, key, enc);\n  this.Hash = hash;\n  this.blockSize = hash.blockSize / 8;\n  this.outSize = hash.outSize / 8;\n  this.inner = null;\n  this.outer = null;\n\n  this._init(utils.toArray(key, enc));\n}\nmodule.exports = Hmac;\n\nHmac.prototype._init = function init(key) {\n  // Shorten key, if needed\n  if (key.length > this.blockSize)\n    key = new this.Hash().update(key).digest();\n  assert(key.length <= this.blockSize);\n\n  // Add padding to key\n  for (var i = key.length; i < this.blockSize; i++)\n    key.push(0);\n\n  for (i = 0; i < key.length; i++)\n    key[i] ^= 0x36;\n  this.inner = new this.Hash().update(key);\n\n  // 0x36 ^ 0x5c = 0x6a\n  for (i = 0; i < key.length; i++)\n    key[i] ^= 0x6a;\n  this.outer = new this.Hash().update(key);\n};\n\nHmac.prototype.update = function update(msg, enc) {\n  this.inner.update(msg, enc);\n  return this;\n};\n\nHmac.prototype.digest = function digest(enc) {\n  this.outer.update(this.inner.digest());\n  return this.outer.digest(enc);\n};\n","'use strict';\n\nvar utils = require('./utils');\nvar common = require('./common');\n\nvar rotl32 = utils.rotl32;\nvar sum32 = utils.sum32;\nvar sum32_3 = utils.sum32_3;\nvar sum32_4 = utils.sum32_4;\nvar BlockHash = common.BlockHash;\n\nfunction RIPEMD160() {\n  if (!(this instanceof RIPEMD160))\n    return new RIPEMD160();\n\n  BlockHash.call(this);\n\n  this.h = [ 0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0 ];\n  this.endian = 'little';\n}\nutils.inherits(RIPEMD160, BlockHash);\nexports.ripemd160 = RIPEMD160;\n\nRIPEMD160.blockSize = 512;\nRIPEMD160.outSize = 160;\nRIPEMD160.hmacStrength = 192;\nRIPEMD160.padLength = 64;\n\nRIPEMD160.prototype._update = function update(msg, start) {\n  var A = this.h[0];\n  var B = this.h[1];\n  var C = this.h[2];\n  var D = this.h[3];\n  var E = this.h[4];\n  var Ah = A;\n  var Bh = B;\n  var Ch = C;\n  var Dh = D;\n  var Eh = E;\n  for (var j = 0; j < 80; j++) {\n    var T = sum32(\n      rotl32(\n        sum32_4(A, f(j, B, C, D), msg[r[j] + start], K(j)),\n        s[j]),\n      E);\n    A = E;\n    E = D;\n    D = rotl32(C, 10);\n    C = B;\n    B = T;\n    T = sum32(\n      rotl32(\n        sum32_4(Ah, f(79 - j, Bh, Ch, Dh), msg[rh[j] + start], Kh(j)),\n        sh[j]),\n      Eh);\n    Ah = Eh;\n    Eh = Dh;\n    Dh = rotl32(Ch, 10);\n    Ch = Bh;\n    Bh = T;\n  }\n  T = sum32_3(this.h[1], C, Dh);\n  this.h[1] = sum32_3(this.h[2], D, Eh);\n  this.h[2] = sum32_3(this.h[3], E, Ah);\n  this.h[3] = sum32_3(this.h[4], A, Bh);\n  this.h[4] = sum32_3(this.h[0], B, Ch);\n  this.h[0] = T;\n};\n\nRIPEMD160.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'little');\n  else\n    return utils.split32(this.h, 'little');\n};\n\nfunction f(j, x, y, z) {\n  if (j <= 15)\n    return x ^ y ^ z;\n  else if (j <= 31)\n    return (x & y) | ((~x) & z);\n  else if (j <= 47)\n    return (x | (~y)) ^ z;\n  else if (j <= 63)\n    return (x & z) | (y & (~z));\n  else\n    return x ^ (y | (~z));\n}\n\nfunction K(j) {\n  if (j <= 15)\n    return 0x00000000;\n  else if (j <= 31)\n    return 0x5a827999;\n  else if (j <= 47)\n    return 0x6ed9eba1;\n  else if (j <= 63)\n    return 0x8f1bbcdc;\n  else\n    return 0xa953fd4e;\n}\n\nfunction Kh(j) {\n  if (j <= 15)\n    return 0x50a28be6;\n  else if (j <= 31)\n    return 0x5c4dd124;\n  else if (j <= 47)\n    return 0x6d703ef3;\n  else if (j <= 63)\n    return 0x7a6d76e9;\n  else\n    return 0x00000000;\n}\n\nvar r = [\n  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,\n  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,\n  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,\n  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13\n];\n\nvar rh = [\n  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,\n  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,\n  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,\n  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,\n  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11\n];\n\nvar s = [\n  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,\n  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,\n  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,\n  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,\n  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6\n];\n\nvar sh = [\n  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,\n  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,\n  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,\n  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,\n  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11\n];\n","'use strict';\n\nvar utils = require('../utils');\n\nvar SHA512 = require('./512');\n\nfunction SHA384() {\n  if (!(this instanceof SHA384))\n    return new SHA384();\n\n  SHA512.call(this);\n  this.h = [\n    0xcbbb9d5d, 0xc1059ed8,\n    0x629a292a, 0x367cd507,\n    0x9159015a, 0x3070dd17,\n    0x152fecd8, 0xf70e5939,\n    0x67332667, 0xffc00b31,\n    0x8eb44a87, 0x68581511,\n    0xdb0c2e0d, 0x64f98fa7,\n    0x47b5481d, 0xbefa4fa4 ];\n}\nutils.inherits(SHA384, SHA512);\nmodule.exports = SHA384;\n\nSHA384.blockSize = 1024;\nSHA384.outSize = 384;\nSHA384.hmacStrength = 192;\nSHA384.padLength = 128;\n\nSHA384.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h.slice(0, 12), 'big');\n  else\n    return utils.split32(this.h.slice(0, 12), 'big');\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar SHA256 = require('./256');\n\nfunction SHA224() {\n  if (!(this instanceof SHA224))\n    return new SHA224();\n\n  SHA256.call(this);\n  this.h = [\n    0xc1059ed8, 0x367cd507, 0x3070dd17, 0xf70e5939,\n    0xffc00b31, 0x68581511, 0x64f98fa7, 0xbefa4fa4 ];\n}\nutils.inherits(SHA224, SHA256);\nmodule.exports = SHA224;\n\nSHA224.blockSize = 512;\nSHA224.outSize = 224;\nSHA224.hmacStrength = 192;\nSHA224.padLength = 64;\n\nSHA224.prototype._digest = function digest(enc) {\n  // Just truncate output\n  if (enc === 'hex')\n    return utils.toHex32(this.h.slice(0, 7), 'big');\n  else\n    return utils.split32(this.h.slice(0, 7), 'big');\n};\n\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar shaCommon = require('./common');\n\nvar rotl32 = utils.rotl32;\nvar sum32 = utils.sum32;\nvar sum32_5 = utils.sum32_5;\nvar ft_1 = shaCommon.ft_1;\nvar BlockHash = common.BlockHash;\n\nvar sha1_K = [\n  0x5A827999, 0x6ED9EBA1,\n  0x8F1BBCDC, 0xCA62C1D6\n];\n\nfunction SHA1() {\n  if (!(this instanceof SHA1))\n    return new SHA1();\n\n  BlockHash.call(this);\n  this.h = [\n    0x67452301, 0xefcdab89, 0x98badcfe,\n    0x10325476, 0xc3d2e1f0 ];\n  this.W = new Array(80);\n}\n\nutils.inherits(SHA1, BlockHash);\nmodule.exports = SHA1;\n\nSHA1.blockSize = 512;\nSHA1.outSize = 160;\nSHA1.hmacStrength = 80;\nSHA1.padLength = 64;\n\nSHA1.prototype._update = function _update(msg, start) {\n  var W = this.W;\n\n  for (var i = 0; i < 16; i++)\n    W[i] = msg[start + i];\n\n  for(; i < W.length; i++)\n    W[i] = rotl32(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16], 1);\n\n  var a = this.h[0];\n  var b = this.h[1];\n  var c = this.h[2];\n  var d = this.h[3];\n  var e = this.h[4];\n\n  for (i = 0; i < W.length; i++) {\n    var s = ~~(i / 20);\n    var t = sum32_5(rotl32(a, 5), ft_1(s, b, c, d), e, W[i], sha1_K[s]);\n    e = d;\n    d = c;\n    c = rotl32(b, 30);\n    b = a;\n    a = t;\n  }\n\n  this.h[0] = sum32(this.h[0], a);\n  this.h[1] = sum32(this.h[1], b);\n  this.h[2] = sum32(this.h[2], c);\n  this.h[3] = sum32(this.h[3], d);\n  this.h[4] = sum32(this.h[4], e);\n};\n\nSHA1.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n","'use strict';\n\nexports.sha1 = require('./sha/1');\nexports.sha224 = require('./sha/224');\nexports.sha256 = require('./sha/256');\nexports.sha384 = require('./sha/384');\nexports.sha512 = require('./sha/512');\n","'use strict';\n\nvar curves = exports;\n\nvar hash = require('hash.js');\nvar elliptic = require('../elliptic');\n\nvar assert = elliptic.utils.assert;\n\nfunction PresetCurve(options) {\n  if (options.type === 'short')\n    this.curve = new elliptic.curve.short(options);\n  else if (options.type === 'edwards')\n    this.curve = new elliptic.curve.edwards(options);\n  else\n    this.curve = new elliptic.curve.mont(options);\n  this.g = this.curve.g;\n  this.n = this.curve.n;\n  this.hash = options.hash;\n\n  assert(this.g.validate(), 'Invalid curve');\n  assert(this.g.mul(this.n).isInfinity(), 'Invalid curve, G*N != O');\n}\ncurves.PresetCurve = PresetCurve;\n\nfunction defineCurve(name, options) {\n  Object.defineProperty(curves, name, {\n    configurable: true,\n    enumerable: true,\n    get: function() {\n      var curve = new PresetCurve(options);\n      Object.defineProperty(curves, name, {\n        configurable: true,\n        enumerable: true,\n        value: curve\n      });\n      return curve;\n    }\n  });\n}\n\ndefineCurve('p192', {\n  type: 'short',\n  prime: 'p192',\n  p: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff',\n  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff fffffffc',\n  b: '64210519 e59c80e7 0fa7e9ab 72243049 feb8deec c146b9b1',\n  n: 'ffffffff ffffffff ffffffff 99def836 146bc9b1 b4d22831',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '188da80e b03090f6 7cbf20eb 43a18800 f4ff0afd 82ff1012',\n    '07192b95 ffc8da78 631011ed 6b24cdd5 73f977a1 1e794811'\n  ]\n});\n\ndefineCurve('p224', {\n  type: 'short',\n  prime: 'p224',\n  p: 'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001',\n  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff fffffffe',\n  b: 'b4050a85 0c04b3ab f5413256 5044b0b7 d7bfd8ba 270b3943 2355ffb4',\n  n: 'ffffffff ffffffff ffffffff ffff16a2 e0b8f03e 13dd2945 5c5c2a3d',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    'b70e0cbd 6bb4bf7f 321390b9 4a03c1d3 56c21122 343280d6 115c1d21',\n    'bd376388 b5f723fb 4c22dfe6 cd4375a0 5a074764 44d58199 85007e34'\n  ]\n});\n\ndefineCurve('p256', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff ffffffff',\n  a: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff fffffffc',\n  b: '5ac635d8 aa3a93e7 b3ebbd55 769886bc 651d06b0 cc53b0f6 3bce3c3e 27d2604b',\n  n: 'ffffffff 00000000 ffffffff ffffffff bce6faad a7179e84 f3b9cac2 fc632551',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '6b17d1f2 e12c4247 f8bce6e5 63a440f2 77037d81 2deb33a0 f4a13945 d898c296',\n    '4fe342e2 fe1a7f9b 8ee7eb4a 7c0f9e16 2bce3357 6b315ece cbb64068 37bf51f5'\n  ]\n});\n\ndefineCurve('p384', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 ffffffff',\n  a: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 fffffffc',\n  b: 'b3312fa7 e23ee7e4 988e056b e3f82d19 181d9c6e fe814112 0314088f ' +\n     '5013875a c656398d 8a2ed19d 2a85c8ed d3ec2aef',\n  n: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff c7634d81 ' +\n     'f4372ddf 581a0db2 48b0a77a ecec196a ccc52973',\n  hash: hash.sha384,\n  gRed: false,\n  g: [\n    'aa87ca22 be8b0537 8eb1c71e f320ad74 6e1d3b62 8ba79b98 59f741e0 82542a38 ' +\n    '5502f25d bf55296c 3a545e38 72760ab7',\n    '3617de4a 96262c6f 5d9e98bf 9292dc29 f8f41dbd 289a147c e9da3113 b5f0b8c0 ' +\n    '0a60b1ce 1d7e819d 7a431d7c 90ea0e5f'\n  ]\n});\n\ndefineCurve('p521', {\n  type: 'short',\n  prime: null,\n  p: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff',\n  a: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff fffffffc',\n  b: '00000051 953eb961 8e1c9a1f 929a21a0 b68540ee a2da725b ' +\n     '99b315f3 b8b48991 8ef109e1 56193951 ec7e937b 1652c0bd ' +\n     '3bb1bf07 3573df88 3d2c34f1 ef451fd4 6b503f00',\n  n: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff fffffffa 51868783 bf2f966b 7fcc0148 ' +\n     'f709a5d0 3bb5c9b8 899c47ae bb6fb71e 91386409',\n  hash: hash.sha512,\n  gRed: false,\n  g: [\n    '000000c6 858e06b7 0404e9cd 9e3ecb66 2395b442 9c648139 ' +\n    '053fb521 f828af60 6b4d3dba a14b5e77 efe75928 fe1dc127 ' +\n    'a2ffa8de 3348b3c1 856a429b f97e7e31 c2e5bd66',\n    '00000118 39296a78 9a3bc004 5c8a5fb4 2c7d1bd9 98f54449 ' +\n    '579b4468 17afbd17 273e662c 97ee7299 5ef42640 c550b901 ' +\n    '3fad0761 353c7086 a272c240 88be9476 9fd16650'\n  ]\n});\n\ndefineCurve('curve25519', {\n  type: 'mont',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '76d06',\n  b: '1',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '9'\n  ]\n});\n\ndefineCurve('ed25519', {\n  type: 'edwards',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '-1',\n  c: '1',\n  // -121665 * (121666^(-1)) (mod P)\n  d: '52036cee2b6ffe73 8cc740797779e898 00700a4d4141d8ab 75eb4dca135978a3',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '216936d3cd6e53fec0a4e231fdd6dc5c692cc7609525a7b2c9562d608f25d51a',\n\n    // 4/5\n    '6666666666666666666666666666666666666666666666666666666666666658'\n  ]\n});\n\nvar pre;\ntry {\n  pre = require('./precomputed/secp256k1');\n} catch (e) {\n  pre = undefined;\n}\n\ndefineCurve('secp256k1', {\n  type: 'short',\n  prime: 'k256',\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f',\n  a: '0',\n  b: '7',\n  n: 'ffffffff ffffffff ffffffff fffffffe baaedce6 af48a03b bfd25e8c d0364141',\n  h: '1',\n  hash: hash.sha256,\n\n  // Precomputed endomorphism\n  beta: '7ae96a2b657c07106e64479eac3434e99cf0497512f58995c1396c28719501ee',\n  lambda: '5363ad4cc05c30e0a5261c028812645a122e22ea20816678df02967c1b23bd72',\n  basis: [\n    {\n      a: '3086d221a7d46bcde86c90e49284eb15',\n      b: '-e4437ed6010e88286f547fa90abfe4c3'\n    },\n    {\n      a: '114ca50f7a8e2f3f657c1108d9d44cfd8',\n      b: '3086d221a7d46bcde86c90e49284eb15'\n    }\n  ],\n\n  gRed: false,\n  g: [\n    '79be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798',\n    '483ada7726a3c4655da4fbfc0e1108a8fd17b448a68554199c47d08ffb10d4b8',\n    pre\n  ]\n});\n","'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction EdwardsCurve(conf) {\n  // NOTE: Important as we are creating point in Base.call()\n  this.twisted = (conf.a | 0) !== 1;\n  this.mOneA = this.twisted && (conf.a | 0) === -1;\n  this.extended = this.mOneA;\n\n  Base.call(this, 'edwards', conf);\n\n  this.a = new BN(conf.a, 16).umod(this.red.m);\n  this.a = this.a.toRed(this.red);\n  this.c = new BN(conf.c, 16).toRed(this.red);\n  this.c2 = this.c.redSqr();\n  this.d = new BN(conf.d, 16).toRed(this.red);\n  this.dd = this.d.redAdd(this.d);\n\n  assert(!this.twisted || this.c.fromRed().cmpn(1) === 0);\n  this.oneC = (conf.c | 0) === 1;\n}\ninherits(EdwardsCurve, Base);\nmodule.exports = EdwardsCurve;\n\nEdwardsCurve.prototype._mulA = function _mulA(num) {\n  if (this.mOneA)\n    return num.redNeg();\n  else\n    return this.a.redMul(num);\n};\n\nEdwardsCurve.prototype._mulC = function _mulC(num) {\n  if (this.oneC)\n    return num;\n  else\n    return this.c.redMul(num);\n};\n\n// Just for compatibility with Short curve\nEdwardsCurve.prototype.jpoint = function jpoint(x, y, z, t) {\n  return this.point(x, y, z, t);\n};\n\nEdwardsCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var x2 = x.redSqr();\n  var rhs = this.c2.redSub(this.a.redMul(x2));\n  var lhs = this.one.redSub(this.c2.redMul(this.d).redMul(x2));\n\n  var y2 = rhs.redMul(lhs.redInvm());\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.pointFromY = function pointFromY(y, odd) {\n  y = new BN(y, 16);\n  if (!y.red)\n    y = y.toRed(this.red);\n\n  // x^2 = (y^2 - c^2) / (c^2 d y^2 - a)\n  var y2 = y.redSqr();\n  var lhs = y2.redSub(this.c2);\n  var rhs = y2.redMul(this.d).redMul(this.c2).redSub(this.a);\n  var x2 = lhs.redMul(rhs.redInvm());\n\n  if (x2.cmp(this.zero) === 0) {\n    if (odd)\n      throw new Error('invalid point');\n    else\n      return this.point(this.zero, y);\n  }\n\n  var x = x2.redSqrt();\n  if (x.redSqr().redSub(x2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  if (x.fromRed().isOdd() !== odd)\n    x = x.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.validate = function validate(point) {\n  if (point.isInfinity())\n    return true;\n\n  // Curve: A * X^2 + Y^2 = C^2 * (1 + D * X^2 * Y^2)\n  point.normalize();\n\n  var x2 = point.x.redSqr();\n  var y2 = point.y.redSqr();\n  var lhs = x2.redMul(this.a).redAdd(y2);\n  var rhs = this.c2.redMul(this.one.redAdd(this.d.redMul(x2).redMul(y2)));\n\n  return lhs.cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, y, z, t) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.zero;\n    this.y = this.curve.one;\n    this.z = this.curve.one;\n    this.t = this.curve.zero;\n    this.zOne = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = z ? new BN(z, 16) : this.curve.one;\n    this.t = t && new BN(t, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n    if (this.t && !this.t.red)\n      this.t = this.t.toRed(this.curve.red);\n    this.zOne = this.z === this.curve.one;\n\n    // Use extended coordinates\n    if (this.curve.extended && !this.t) {\n      this.t = this.x.redMul(this.y);\n      if (!this.zOne)\n        this.t = this.t.redMul(this.z.redInvm());\n    }\n  }\n}\ninherits(Point, Base.BasePoint);\n\nEdwardsCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nEdwardsCurve.prototype.point = function point(x, y, z, t) {\n  return new Point(this, x, y, z, t);\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1], obj[2]);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.x.cmpn(0) === 0 &&\n    (this.y.cmp(this.z) === 0 ||\n    (this.zOne && this.y.cmp(this.curve.c) === 0));\n};\n\nPoint.prototype._extDbl = function _extDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #doubling-dbl-2008-hwcd\n  // 4M + 4S\n\n  // A = X1^2\n  var a = this.x.redSqr();\n  // B = Y1^2\n  var b = this.y.redSqr();\n  // C = 2 * Z1^2\n  var c = this.z.redSqr();\n  c = c.redIAdd(c);\n  // D = a * A\n  var d = this.curve._mulA(a);\n  // E = (X1 + Y1)^2 - A - B\n  var e = this.x.redAdd(this.y).redSqr().redISub(a).redISub(b);\n  // G = D + B\n  var g = d.redAdd(b);\n  // F = G - C\n  var f = g.redSub(c);\n  // H = D - B\n  var h = d.redSub(b);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projDbl = function _projDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #doubling-dbl-2008-bbjlp\n  //     #doubling-dbl-2007-bl\n  // and others\n  // Generally 3M + 4S or 2M + 4S\n\n  // B = (X1 + Y1)^2\n  var b = this.x.redAdd(this.y).redSqr();\n  // C = X1^2\n  var c = this.x.redSqr();\n  // D = Y1^2\n  var d = this.y.redSqr();\n\n  var nx;\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // E = a * C\n    var e = this.curve._mulA(c);\n    // F = E + D\n    var f = e.redAdd(d);\n    if (this.zOne) {\n      // X3 = (B - C - D) * (F - 2)\n      nx = b.redSub(c).redSub(d).redMul(f.redSub(this.curve.two));\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F^2 - 2 * F\n      nz = f.redSqr().redSub(f).redSub(f);\n    } else {\n      // H = Z1^2\n      var h = this.z.redSqr();\n      // J = F - 2 * H\n      var j = f.redSub(h).redISub(h);\n      // X3 = (B-C-D)*J\n      nx = b.redSub(c).redISub(d).redMul(j);\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F * J\n      nz = f.redMul(j);\n    }\n  } else {\n    // E = C + D\n    var e = c.redAdd(d);\n    // H = (c * Z1)^2\n    var h = this.curve._mulC(this.z).redSqr();\n    // J = E - 2 * H\n    var j = e.redSub(h).redSub(h);\n    // X3 = c * (B - E) * J\n    nx = this.curve._mulC(b.redISub(e)).redMul(j);\n    // Y3 = c * E * (C - D)\n    ny = this.curve._mulC(e).redMul(c.redISub(d));\n    // Z3 = E * J\n    nz = e.redMul(j);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  // Double in extended coordinates\n  if (this.curve.extended)\n    return this._extDbl();\n  else\n    return this._projDbl();\n};\n\nPoint.prototype._extAdd = function _extAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #addition-add-2008-hwcd-3\n  // 8M\n\n  // A = (Y1 - X1) * (Y2 - X2)\n  var a = this.y.redSub(this.x).redMul(p.y.redSub(p.x));\n  // B = (Y1 + X1) * (Y2 + X2)\n  var b = this.y.redAdd(this.x).redMul(p.y.redAdd(p.x));\n  // C = T1 * k * T2\n  var c = this.t.redMul(this.curve.dd).redMul(p.t);\n  // D = Z1 * 2 * Z2\n  var d = this.z.redMul(p.z.redAdd(p.z));\n  // E = B - A\n  var e = b.redSub(a);\n  // F = D - C\n  var f = d.redSub(c);\n  // G = D + C\n  var g = d.redAdd(c);\n  // H = B + A\n  var h = b.redAdd(a);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projAdd = function _projAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #addition-add-2008-bbjlp\n  //     #addition-add-2007-bl\n  // 10M + 1S\n\n  // A = Z1 * Z2\n  var a = this.z.redMul(p.z);\n  // B = A^2\n  var b = a.redSqr();\n  // C = X1 * X2\n  var c = this.x.redMul(p.x);\n  // D = Y1 * Y2\n  var d = this.y.redMul(p.y);\n  // E = d * C * D\n  var e = this.curve.d.redMul(c).redMul(d);\n  // F = B - E\n  var f = b.redSub(e);\n  // G = B + E\n  var g = b.redAdd(e);\n  // X3 = A * F * ((X1 + Y1) * (X2 + Y2) - C - D)\n  var tmp = this.x.redAdd(this.y).redMul(p.x.redAdd(p.y)).redISub(c).redISub(d);\n  var nx = a.redMul(f).redMul(tmp);\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // Y3 = A * G * (D - a * C)\n    ny = a.redMul(g).redMul(d.redSub(this.curve._mulA(c)));\n    // Z3 = F * G\n    nz = f.redMul(g);\n  } else {\n    // Y3 = A * G * (D - C)\n    ny = a.redMul(g).redMul(d.redSub(c));\n    // Z3 = c * F * G\n    nz = this.curve._mulC(f).redMul(g);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.add = function add(p) {\n  if (this.isInfinity())\n    return p;\n  if (p.isInfinity())\n    return this;\n\n  if (this.curve.extended)\n    return this._extAdd(p);\n  else\n    return this._projAdd(p);\n};\n\nPoint.prototype.mul = function mul(k) {\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, false);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, true);\n};\n\nPoint.prototype.normalize = function normalize() {\n  if (this.zOne)\n    return this;\n\n  // Normalize coordinates\n  var zi = this.z.redInvm();\n  this.x = this.x.redMul(zi);\n  this.y = this.y.redMul(zi);\n  if (this.t)\n    this.t = this.t.redMul(zi);\n  this.z = this.curve.one;\n  this.zOne = true;\n  return this;\n};\n\nPoint.prototype.neg = function neg() {\n  return this.curve.point(this.x.redNeg(),\n                          this.y,\n                          this.z,\n                          this.t && this.t.redNeg());\n};\n\nPoint.prototype.getX = function getX() {\n  this.normalize();\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  this.normalize();\n  return this.y.fromRed();\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this === other ||\n         this.getX().cmp(other.getX()) === 0 &&\n         this.getY().cmp(other.getY()) === 0;\n};\n\nPoint.prototype.eqXToP = function eqXToP(x) {\n  var rx = x.toRed(this.curve.red).redMul(this.z);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(this.z);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n};\n\n// Compatibility with BaseCurve\nPoint.prototype.toP = Point.prototype.normalize;\nPoint.prototype.mixedAdd = Point.prototype.add;\n","'use strict';\n\nvar curve = require('../curve');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\n\nfunction MontCurve(conf) {\n  Base.call(this, 'mont', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.i4 = new BN(4).toRed(this.red).redInvm();\n  this.two = new BN(2).toRed(this.red);\n  this.a24 = this.i4.redMul(this.a.redAdd(this.two));\n}\ninherits(MontCurve, Base);\nmodule.exports = MontCurve;\n\nMontCurve.prototype.validate = function validate(point) {\n  var x = point.normalize().x;\n  var x2 = x.redSqr();\n  var rhs = x2.redMul(x).redAdd(x2.redMul(this.a)).redAdd(x);\n  var y = rhs.redSqrt();\n\n  return y.redSqr().cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, z) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && z === null) {\n    this.x = this.curve.one;\n    this.z = this.curve.zero;\n  } else {\n    this.x = new BN(x, 16);\n    this.z = new BN(z, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n  }\n}\ninherits(Point, Base.BasePoint);\n\nMontCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  return this.point(utils.toArray(bytes, enc), 1);\n};\n\nMontCurve.prototype.point = function point(x, z) {\n  return new Point(this, x, z);\n};\n\nMontCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nPoint.prototype.precompute = function precompute() {\n  // No-op\n};\n\nPoint.prototype._encode = function _encode() {\n  return this.getX().toArray('be', this.curve.p.byteLength());\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1] || curve.one);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n\nPoint.prototype.dbl = function dbl() {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#doubling-dbl-1987-m-3\n  // 2M + 2S + 4A\n\n  // A = X1 + Z1\n  var a = this.x.redAdd(this.z);\n  // AA = A^2\n  var aa = a.redSqr();\n  // B = X1 - Z1\n  var b = this.x.redSub(this.z);\n  // BB = B^2\n  var bb = b.redSqr();\n  // C = AA - BB\n  var c = aa.redSub(bb);\n  // X3 = AA * BB\n  var nx = aa.redMul(bb);\n  // Z3 = C * (BB + A24 * C)\n  var nz = c.redMul(bb.redAdd(this.curve.a24.redMul(c)));\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.add = function add() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.diffAdd = function diffAdd(p, diff) {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#diffadd-dadd-1987-m-3\n  // 4M + 2S + 6A\n\n  // A = X2 + Z2\n  var a = this.x.redAdd(this.z);\n  // B = X2 - Z2\n  var b = this.x.redSub(this.z);\n  // C = X3 + Z3\n  var c = p.x.redAdd(p.z);\n  // D = X3 - Z3\n  var d = p.x.redSub(p.z);\n  // DA = D * A\n  var da = d.redMul(a);\n  // CB = C * B\n  var cb = c.redMul(b);\n  // X5 = Z1 * (DA + CB)^2\n  var nx = diff.z.redMul(da.redAdd(cb).redSqr());\n  // Z5 = X1 * (DA - CB)^2\n  var nz = diff.x.redMul(da.redISub(cb).redSqr());\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.mul = function mul(k) {\n  var t = k.clone();\n  var a = this; // (N / 2) * Q + Q\n  var b = this.curve.point(null, null); // (N / 2) * Q\n  var c = this; // Q\n\n  for (var bits = []; t.cmpn(0) !== 0; t.iushrn(1))\n    bits.push(t.andln(1));\n\n  for (var i = bits.length - 1; i >= 0; i--) {\n    if (bits[i] === 0) {\n      // N * Q + Q = ((N / 2) * Q + Q)) + (N / 2) * Q\n      a = a.diffAdd(b, c);\n      // N * Q = 2 * ((N / 2) * Q + Q))\n      b = b.dbl();\n    } else {\n      // N * Q = ((N / 2) * Q + Q) + ((N / 2) * Q)\n      b = a.diffAdd(b, c);\n      // N * Q + Q = 2 * ((N / 2) * Q + Q)\n      a = a.dbl();\n    }\n  }\n  return b;\n};\n\nPoint.prototype.mulAdd = function mulAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.jumlAdd = function jumlAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this.getX().cmp(other.getX()) === 0;\n};\n\nPoint.prototype.normalize = function normalize() {\n  this.x = this.x.redMul(this.z.redInvm());\n  this.z = this.curve.one;\n  return this;\n};\n\nPoint.prototype.getX = function getX() {\n  // Normalize coordinates\n  this.normalize();\n\n  return this.x.fromRed();\n};\n","'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction ShortCurve(conf) {\n  Base.call(this, 'short', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.tinv = this.two.redInvm();\n\n  this.zeroA = this.a.fromRed().cmpn(0) === 0;\n  this.threeA = this.a.fromRed().sub(this.p).cmpn(-3) === 0;\n\n  // If the curve is endomorphic, precalculate beta and lambda\n  this.endo = this._getEndomorphism(conf);\n  this._endoWnafT1 = new Array(4);\n  this._endoWnafT2 = new Array(4);\n}\ninherits(ShortCurve, Base);\nmodule.exports = ShortCurve;\n\nShortCurve.prototype._getEndomorphism = function _getEndomorphism(conf) {\n  // No efficient endomorphism\n  if (!this.zeroA || !this.g || !this.n || this.p.modn(3) !== 1)\n    return;\n\n  // Compute beta and lambda, that lambda * P = (beta * Px; Py)\n  var beta;\n  var lambda;\n  if (conf.beta) {\n    beta = new BN(conf.beta, 16).toRed(this.red);\n  } else {\n    var betas = this._getEndoRoots(this.p);\n    // Choose the smallest beta\n    beta = betas[0].cmp(betas[1]) < 0 ? betas[0] : betas[1];\n    beta = beta.toRed(this.red);\n  }\n  if (conf.lambda) {\n    lambda = new BN(conf.lambda, 16);\n  } else {\n    // Choose the lambda that is matching selected beta\n    var lambdas = this._getEndoRoots(this.n);\n    if (this.g.mul(lambdas[0]).x.cmp(this.g.x.redMul(beta)) === 0) {\n      lambda = lambdas[0];\n    } else {\n      lambda = lambdas[1];\n      assert(this.g.mul(lambda).x.cmp(this.g.x.redMul(beta)) === 0);\n    }\n  }\n\n  // Get basis vectors, used for balanced length-two representation\n  var basis;\n  if (conf.basis) {\n    basis = conf.basis.map(function(vec) {\n      return {\n        a: new BN(vec.a, 16),\n        b: new BN(vec.b, 16)\n      };\n    });\n  } else {\n    basis = this._getEndoBasis(lambda);\n  }\n\n  return {\n    beta: beta,\n    lambda: lambda,\n    basis: basis\n  };\n};\n\nShortCurve.prototype._getEndoRoots = function _getEndoRoots(num) {\n  // Find roots of for x^2 + x + 1 in F\n  // Root = (-1 +- Sqrt(-3)) / 2\n  //\n  var red = num === this.p ? this.red : BN.mont(num);\n  var tinv = new BN(2).toRed(red).redInvm();\n  var ntinv = tinv.redNeg();\n\n  var s = new BN(3).toRed(red).redNeg().redSqrt().redMul(tinv);\n\n  var l1 = ntinv.redAdd(s).fromRed();\n  var l2 = ntinv.redSub(s).fromRed();\n  return [ l1, l2 ];\n};\n\nShortCurve.prototype._getEndoBasis = function _getEndoBasis(lambda) {\n  // aprxSqrt >= sqrt(this.n)\n  var aprxSqrt = this.n.ushrn(Math.floor(this.n.bitLength() / 2));\n\n  // 3.74\n  // Run EGCD, until r(L + 1) < aprxSqrt\n  var u = lambda;\n  var v = this.n.clone();\n  var x1 = new BN(1);\n  var y1 = new BN(0);\n  var x2 = new BN(0);\n  var y2 = new BN(1);\n\n  // NOTE: all vectors are roots of: a + b * lambda = 0 (mod n)\n  var a0;\n  var b0;\n  // First vector\n  var a1;\n  var b1;\n  // Second vector\n  var a2;\n  var b2;\n\n  var prevR;\n  var i = 0;\n  var r;\n  var x;\n  while (u.cmpn(0) !== 0) {\n    var q = v.div(u);\n    r = v.sub(q.mul(u));\n    x = x2.sub(q.mul(x1));\n    var y = y2.sub(q.mul(y1));\n\n    if (!a1 && r.cmp(aprxSqrt) < 0) {\n      a0 = prevR.neg();\n      b0 = x1;\n      a1 = r.neg();\n      b1 = x;\n    } else if (a1 && ++i === 2) {\n      break;\n    }\n    prevR = r;\n\n    v = u;\n    u = r;\n    x2 = x1;\n    x1 = x;\n    y2 = y1;\n    y1 = y;\n  }\n  a2 = r.neg();\n  b2 = x;\n\n  var len1 = a1.sqr().add(b1.sqr());\n  var len2 = a2.sqr().add(b2.sqr());\n  if (len2.cmp(len1) >= 0) {\n    a2 = a0;\n    b2 = b0;\n  }\n\n  // Normalize signs\n  if (a1.negative) {\n    a1 = a1.neg();\n    b1 = b1.neg();\n  }\n  if (a2.negative) {\n    a2 = a2.neg();\n    b2 = b2.neg();\n  }\n\n  return [\n    { a: a1, b: b1 },\n    { a: a2, b: b2 }\n  ];\n};\n\nShortCurve.prototype._endoSplit = function _endoSplit(k) {\n  var basis = this.endo.basis;\n  var v1 = basis[0];\n  var v2 = basis[1];\n\n  var c1 = v2.b.mul(k).divRound(this.n);\n  var c2 = v1.b.neg().mul(k).divRound(this.n);\n\n  var p1 = c1.mul(v1.a);\n  var p2 = c2.mul(v2.a);\n  var q1 = c1.mul(v1.b);\n  var q2 = c2.mul(v2.b);\n\n  // Calculate answer\n  var k1 = k.sub(p1).sub(p2);\n  var k2 = q1.add(q2).neg();\n  return { k1: k1, k2: k2 };\n};\n\nShortCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var y2 = x.redSqr().redMul(x).redIAdd(x.redMul(this.a)).redIAdd(this.b);\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  // XXX Is there any way to tell if the number is odd without converting it\n  // to non-red form?\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nShortCurve.prototype.validate = function validate(point) {\n  if (point.inf)\n    return true;\n\n  var x = point.x;\n  var y = point.y;\n\n  var ax = this.a.redMul(x);\n  var rhs = x.redSqr().redMul(x).redIAdd(ax).redIAdd(this.b);\n  return y.redSqr().redISub(rhs).cmpn(0) === 0;\n};\n\nShortCurve.prototype._endoWnafMulAdd =\n    function _endoWnafMulAdd(points, coeffs, jacobianResult) {\n  var npoints = this._endoWnafT1;\n  var ncoeffs = this._endoWnafT2;\n  for (var i = 0; i < points.length; i++) {\n    var split = this._endoSplit(coeffs[i]);\n    var p = points[i];\n    var beta = p._getBeta();\n\n    if (split.k1.negative) {\n      split.k1.ineg();\n      p = p.neg(true);\n    }\n    if (split.k2.negative) {\n      split.k2.ineg();\n      beta = beta.neg(true);\n    }\n\n    npoints[i * 2] = p;\n    npoints[i * 2 + 1] = beta;\n    ncoeffs[i * 2] = split.k1;\n    ncoeffs[i * 2 + 1] = split.k2;\n  }\n  var res = this._wnafMulAdd(1, npoints, ncoeffs, i * 2, jacobianResult);\n\n  // Clean-up references to points and coefficients\n  for (var j = 0; j < i * 2; j++) {\n    npoints[j] = null;\n    ncoeffs[j] = null;\n  }\n  return res;\n};\n\nfunction Point(curve, x, y, isRed) {\n  Base.BasePoint.call(this, curve, 'affine');\n  if (x === null && y === null) {\n    this.x = null;\n    this.y = null;\n    this.inf = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    // Force redgomery representation when loading from JSON\n    if (isRed) {\n      this.x.forceRed(this.curve.red);\n      this.y.forceRed(this.curve.red);\n    }\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    this.inf = false;\n  }\n}\ninherits(Point, Base.BasePoint);\n\nShortCurve.prototype.point = function point(x, y, isRed) {\n  return new Point(this, x, y, isRed);\n};\n\nShortCurve.prototype.pointFromJSON = function pointFromJSON(obj, red) {\n  return Point.fromJSON(this, obj, red);\n};\n\nPoint.prototype._getBeta = function _getBeta() {\n  if (!this.curve.endo)\n    return;\n\n  var pre = this.precomputed;\n  if (pre && pre.beta)\n    return pre.beta;\n\n  var beta = this.curve.point(this.x.redMul(this.curve.endo.beta), this.y);\n  if (pre) {\n    var curve = this.curve;\n    var endoMul = function(p) {\n      return curve.point(p.x.redMul(curve.endo.beta), p.y);\n    };\n    pre.beta = beta;\n    beta.precomputed = {\n      beta: null,\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(endoMul)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(endoMul)\n      }\n    };\n  }\n  return beta;\n};\n\nPoint.prototype.toJSON = function toJSON() {\n  if (!this.precomputed)\n    return [ this.x, this.y ];\n\n  return [ this.x, this.y, this.precomputed && {\n    doubles: this.precomputed.doubles && {\n      step: this.precomputed.doubles.step,\n      points: this.precomputed.doubles.points.slice(1)\n    },\n    naf: this.precomputed.naf && {\n      wnd: this.precomputed.naf.wnd,\n      points: this.precomputed.naf.points.slice(1)\n    }\n  } ];\n};\n\nPoint.fromJSON = function fromJSON(curve, obj, red) {\n  if (typeof obj === 'string')\n    obj = JSON.parse(obj);\n  var res = curve.point(obj[0], obj[1], red);\n  if (!obj[2])\n    return res;\n\n  function obj2point(obj) {\n    return curve.point(obj[0], obj[1], red);\n  }\n\n  var pre = obj[2];\n  res.precomputed = {\n    beta: null,\n    doubles: pre.doubles && {\n      step: pre.doubles.step,\n      points: [ res ].concat(pre.doubles.points.map(obj2point))\n    },\n    naf: pre.naf && {\n      wnd: pre.naf.wnd,\n      points: [ res ].concat(pre.naf.points.map(obj2point))\n    }\n  };\n  return res;\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  return this.inf;\n};\n\nPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.inf)\n    return p;\n\n  // P + O = P\n  if (p.inf)\n    return this;\n\n  // P + P = 2P\n  if (this.eq(p))\n    return this.dbl();\n\n  // P + (-P) = O\n  if (this.neg().eq(p))\n    return this.curve.point(null, null);\n\n  // P + Q = O\n  if (this.x.cmp(p.x) === 0)\n    return this.curve.point(null, null);\n\n  var c = this.y.redSub(p.y);\n  if (c.cmpn(0) !== 0)\n    c = c.redMul(this.x.redSub(p.x).redInvm());\n  var nx = c.redSqr().redISub(this.x).redISub(p.x);\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.inf)\n    return this;\n\n  // 2P = O\n  var ys1 = this.y.redAdd(this.y);\n  if (ys1.cmpn(0) === 0)\n    return this.curve.point(null, null);\n\n  var a = this.curve.a;\n\n  var x2 = this.x.redSqr();\n  var dyinv = ys1.redInvm();\n  var c = x2.redAdd(x2).redIAdd(x2).redIAdd(a).redMul(dyinv);\n\n  var nx = c.redSqr().redISub(this.x.redAdd(this.x));\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.getX = function getX() {\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  return this.y.fromRed();\n};\n\nPoint.prototype.mul = function mul(k) {\n  k = new BN(k, 16);\n\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else if (this.curve.endo)\n    return this.curve._endoWnafMulAdd([ this ], [ k ]);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs, true);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2, true);\n};\n\nPoint.prototype.eq = function eq(p) {\n  return this === p ||\n         this.inf === p.inf &&\n             (this.inf || this.x.cmp(p.x) === 0 && this.y.cmp(p.y) === 0);\n};\n\nPoint.prototype.neg = function neg(_precompute) {\n  if (this.inf)\n    return this;\n\n  var res = this.curve.point(this.x, this.y.redNeg());\n  if (_precompute && this.precomputed) {\n    var pre = this.precomputed;\n    var negate = function(p) {\n      return p.neg();\n    };\n    res.precomputed = {\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(negate)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(negate)\n      }\n    };\n  }\n  return res;\n};\n\nPoint.prototype.toJ = function toJ() {\n  if (this.inf)\n    return this.curve.jpoint(null, null, null);\n\n  var res = this.curve.jpoint(this.x, this.y, this.curve.one);\n  return res;\n};\n\nfunction JPoint(curve, x, y, z) {\n  Base.BasePoint.call(this, curve, 'jacobian');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.one;\n    this.y = this.curve.one;\n    this.z = new BN(0);\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = new BN(z, 16);\n  }\n  if (!this.x.red)\n    this.x = this.x.toRed(this.curve.red);\n  if (!this.y.red)\n    this.y = this.y.toRed(this.curve.red);\n  if (!this.z.red)\n    this.z = this.z.toRed(this.curve.red);\n\n  this.zOne = this.z === this.curve.one;\n}\ninherits(JPoint, Base.BasePoint);\n\nShortCurve.prototype.jpoint = function jpoint(x, y, z) {\n  return new JPoint(this, x, y, z);\n};\n\nJPoint.prototype.toP = function toP() {\n  if (this.isInfinity())\n    return this.curve.point(null, null);\n\n  var zinv = this.z.redInvm();\n  var zinv2 = zinv.redSqr();\n  var ax = this.x.redMul(zinv2);\n  var ay = this.y.redMul(zinv2).redMul(zinv);\n\n  return this.curve.point(ax, ay);\n};\n\nJPoint.prototype.neg = function neg() {\n  return this.curve.jpoint(this.x, this.y.redNeg(), this.z);\n};\n\nJPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p;\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 12M + 4S + 7A\n  var pz2 = p.z.redSqr();\n  var z2 = this.z.redSqr();\n  var u1 = this.x.redMul(pz2);\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y.redMul(pz2.redMul(p.z));\n  var s2 = p.y.redMul(z2.redMul(this.z));\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(p.z).redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mixedAdd = function mixedAdd(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p.toJ();\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 8M + 3S + 7A\n  var z2 = this.z.redSqr();\n  var u1 = this.x;\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y;\n  var s2 = p.y.redMul(z2).redMul(this.z);\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.dblp = function dblp(pow) {\n  if (pow === 0)\n    return this;\n  if (this.isInfinity())\n    return this;\n  if (!pow)\n    return this.dbl();\n\n  if (this.curve.zeroA || this.curve.threeA) {\n    var r = this;\n    for (var i = 0; i < pow; i++)\n      r = r.dbl();\n    return r;\n  }\n\n  // 1M + 2S + 1A + N * (4S + 5M + 8A)\n  // N = 1 => 6M + 6S + 9A\n  var a = this.curve.a;\n  var tinv = this.curve.tinv;\n\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  // Reuse results\n  var jyd = jy.redAdd(jy);\n  for (var i = 0; i < pow; i++) {\n    var jx2 = jx.redSqr();\n    var jyd2 = jyd.redSqr();\n    var jyd4 = jyd2.redSqr();\n    var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n    var t1 = jx.redMul(jyd2);\n    var nx = c.redSqr().redISub(t1.redAdd(t1));\n    var t2 = t1.redISub(nx);\n    var dny = c.redMul(t2);\n    dny = dny.redIAdd(dny).redISub(jyd4);\n    var nz = jyd.redMul(jz);\n    if (i + 1 < pow)\n      jz4 = jz4.redMul(jyd4);\n\n    jx = nx;\n    jz = nz;\n    jyd = dny;\n  }\n\n  return this.curve.jpoint(jx, jyd.redMul(tinv), jz);\n};\n\nJPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  if (this.curve.zeroA)\n    return this._zeroDbl();\n  else if (this.curve.threeA)\n    return this._threeDbl();\n  else\n    return this._dbl();\n};\n\nJPoint.prototype._zeroDbl = function _zeroDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 14A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a; a = 0\n    var m = xx.redAdd(xx).redIAdd(xx);\n    // T = M ^ 2 - 2*S\n    var t = m.redSqr().redISub(s).redISub(s);\n\n    // 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2*Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-dbl-2009-l\n    // 2M + 5S + 13A\n\n    // A = X1^2\n    var a = this.x.redSqr();\n    // B = Y1^2\n    var b = this.y.redSqr();\n    // C = B^2\n    var c = b.redSqr();\n    // D = 2 * ((X1 + B)^2 - A - C)\n    var d = this.x.redAdd(b).redSqr().redISub(a).redISub(c);\n    d = d.redIAdd(d);\n    // E = 3 * A\n    var e = a.redAdd(a).redIAdd(a);\n    // F = E^2\n    var f = e.redSqr();\n\n    // 8 * C\n    var c8 = c.redIAdd(c);\n    c8 = c8.redIAdd(c8);\n    c8 = c8.redIAdd(c8);\n\n    // X3 = F - 2 * D\n    nx = f.redISub(d).redISub(d);\n    // Y3 = E * (D - X3) - 8 * C\n    ny = e.redMul(d.redISub(nx)).redISub(c8);\n    // Z3 = 2 * Y1 * Z1\n    nz = this.y.redMul(this.z);\n    nz = nz.redIAdd(nz);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._threeDbl = function _threeDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 15A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a\n    var m = xx.redAdd(xx).redIAdd(xx).redIAdd(this.curve.a);\n    // T = M^2 - 2 * S\n    var t = m.redSqr().redISub(s).redISub(s);\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2 * Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html#doubling-dbl-2001-b\n    // 3M + 5S\n\n    // delta = Z1^2\n    var delta = this.z.redSqr();\n    // gamma = Y1^2\n    var gamma = this.y.redSqr();\n    // beta = X1 * gamma\n    var beta = this.x.redMul(gamma);\n    // alpha = 3 * (X1 - delta) * (X1 + delta)\n    var alpha = this.x.redSub(delta).redMul(this.x.redAdd(delta));\n    alpha = alpha.redAdd(alpha).redIAdd(alpha);\n    // X3 = alpha^2 - 8 * beta\n    var beta4 = beta.redIAdd(beta);\n    beta4 = beta4.redIAdd(beta4);\n    var beta8 = beta4.redAdd(beta4);\n    nx = alpha.redSqr().redISub(beta8);\n    // Z3 = (Y1 + Z1)^2 - gamma - delta\n    nz = this.y.redAdd(this.z).redSqr().redISub(gamma).redISub(delta);\n    // Y3 = alpha * (4 * beta - X3) - 8 * gamma^2\n    var ggamma8 = gamma.redSqr();\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ny = alpha.redMul(beta4.redISub(nx)).redISub(ggamma8);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._dbl = function _dbl() {\n  var a = this.curve.a;\n\n  // 4M + 6S + 10A\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  var jx2 = jx.redSqr();\n  var jy2 = jy.redSqr();\n\n  var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n  var jxd4 = jx.redAdd(jx);\n  jxd4 = jxd4.redIAdd(jxd4);\n  var t1 = jxd4.redMul(jy2);\n  var nx = c.redSqr().redISub(t1.redAdd(t1));\n  var t2 = t1.redISub(nx);\n\n  var jyd8 = jy2.redSqr();\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  var ny = c.redMul(t2).redISub(jyd8);\n  var nz = jy.redAdd(jy).redMul(jz);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.trpl = function trpl() {\n  if (!this.curve.zeroA)\n    return this.dbl().add(this);\n\n  // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#tripling-tpl-2007-bl\n  // 5M + 10S + ...\n\n  // XX = X1^2\n  var xx = this.x.redSqr();\n  // YY = Y1^2\n  var yy = this.y.redSqr();\n  // ZZ = Z1^2\n  var zz = this.z.redSqr();\n  // YYYY = YY^2\n  var yyyy = yy.redSqr();\n  // M = 3 * XX + a * ZZ2; a = 0\n  var m = xx.redAdd(xx).redIAdd(xx);\n  // MM = M^2\n  var mm = m.redSqr();\n  // E = 6 * ((X1 + YY)^2 - XX - YYYY) - MM\n  var e = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n  e = e.redIAdd(e);\n  e = e.redAdd(e).redIAdd(e);\n  e = e.redISub(mm);\n  // EE = E^2\n  var ee = e.redSqr();\n  // T = 16*YYYY\n  var t = yyyy.redIAdd(yyyy);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  // U = (M + E)^2 - MM - EE - T\n  var u = m.redIAdd(e).redSqr().redISub(mm).redISub(ee).redISub(t);\n  // X3 = 4 * (X1 * EE - 4 * YY * U)\n  var yyu4 = yy.redMul(u);\n  yyu4 = yyu4.redIAdd(yyu4);\n  yyu4 = yyu4.redIAdd(yyu4);\n  var nx = this.x.redMul(ee).redISub(yyu4);\n  nx = nx.redIAdd(nx);\n  nx = nx.redIAdd(nx);\n  // Y3 = 8 * Y1 * (U * (T - U) - E * EE)\n  var ny = this.y.redMul(u.redMul(t.redISub(u)).redISub(e.redMul(ee)));\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  // Z3 = (Z1 + E)^2 - ZZ - EE\n  var nz = this.z.redAdd(e).redSqr().redISub(zz).redISub(ee);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mul = function mul(k, kbase) {\n  k = new BN(k, kbase);\n\n  return this.curve._wnafMul(this, k);\n};\n\nJPoint.prototype.eq = function eq(p) {\n  if (p.type === 'affine')\n    return this.eq(p.toJ());\n\n  if (this === p)\n    return true;\n\n  // x1 * z2^2 == x2 * z1^2\n  var z2 = this.z.redSqr();\n  var pz2 = p.z.redSqr();\n  if (this.x.redMul(pz2).redISub(p.x.redMul(z2)).cmpn(0) !== 0)\n    return false;\n\n  // y1 * z2^3 == y2 * z1^3\n  var z3 = z2.redMul(this.z);\n  var pz3 = pz2.redMul(p.z);\n  return this.y.redMul(pz3).redISub(p.y.redMul(z3)).cmpn(0) === 0;\n};\n\nJPoint.prototype.eqXToP = function eqXToP(x) {\n  var zs = this.z.redSqr();\n  var rx = x.toRed(this.curve.red).redMul(zs);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(zs);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n};\n\nJPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC JPoint Infinity>';\n  return '<EC JPoint x: ' + this.x.toString(16, 2) +\n      ' y: ' + this.y.toString(16, 2) +\n      ' z: ' + this.z.toString(16, 2) + '>';\n};\n\nJPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar getNAF = utils.getNAF;\nvar getJSF = utils.getJSF;\nvar assert = utils.assert;\n\nfunction BaseCurve(type, conf) {\n  this.type = type;\n  this.p = new BN(conf.p, 16);\n\n  // Use Montgomery, when there is no fast reduction for the prime\n  this.red = conf.prime ? BN.red(conf.prime) : BN.mont(this.p);\n\n  // Useful for many curves\n  this.zero = new BN(0).toRed(this.red);\n  this.one = new BN(1).toRed(this.red);\n  this.two = new BN(2).toRed(this.red);\n\n  // Curve configuration, optional\n  this.n = conf.n && new BN(conf.n, 16);\n  this.g = conf.g && this.pointFromJSON(conf.g, conf.gRed);\n\n  // Temporary arrays\n  this._wnafT1 = new Array(4);\n  this._wnafT2 = new Array(4);\n  this._wnafT3 = new Array(4);\n  this._wnafT4 = new Array(4);\n\n  // Generalized Greg Maxwell's trick\n  var adjustCount = this.n && this.p.div(this.n);\n  if (!adjustCount || adjustCount.cmpn(100) > 0) {\n    this.redN = null;\n  } else {\n    this._maxwellTrick = true;\n    this.redN = this.n.toRed(this.red);\n  }\n}\nmodule.exports = BaseCurve;\n\nBaseCurve.prototype.point = function point() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype.validate = function validate() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype._fixedNafMul = function _fixedNafMul(p, k) {\n  assert(p.precomputed);\n  var doubles = p._getDoubles();\n\n  var naf = getNAF(k, 1);\n  var I = (1 << (doubles.step + 1)) - (doubles.step % 2 === 0 ? 2 : 1);\n  I /= 3;\n\n  // Translate into more windowed form\n  var repr = [];\n  for (var j = 0; j < naf.length; j += doubles.step) {\n    var nafW = 0;\n    for (var k = j + doubles.step - 1; k >= j; k--)\n      nafW = (nafW << 1) + naf[k];\n    repr.push(nafW);\n  }\n\n  var a = this.jpoint(null, null, null);\n  var b = this.jpoint(null, null, null);\n  for (var i = I; i > 0; i--) {\n    for (var j = 0; j < repr.length; j++) {\n      var nafW = repr[j];\n      if (nafW === i)\n        b = b.mixedAdd(doubles.points[j]);\n      else if (nafW === -i)\n        b = b.mixedAdd(doubles.points[j].neg());\n    }\n    a = a.add(b);\n  }\n  return a.toP();\n};\n\nBaseCurve.prototype._wnafMul = function _wnafMul(p, k) {\n  var w = 4;\n\n  // Precompute window\n  var nafPoints = p._getNAFPoints(w);\n  w = nafPoints.wnd;\n  var wnd = nafPoints.points;\n\n  // Get NAF form\n  var naf = getNAF(k, w);\n\n  // Add `this`*(N+1) for every w-NAF index\n  var acc = this.jpoint(null, null, null);\n  for (var i = naf.length - 1; i >= 0; i--) {\n    // Count zeroes\n    for (var k = 0; i >= 0 && naf[i] === 0; i--)\n      k++;\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n\n    if (i < 0)\n      break;\n    var z = naf[i];\n    assert(z !== 0);\n    if (p.type === 'affine') {\n      // J +- P\n      if (z > 0)\n        acc = acc.mixedAdd(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.mixedAdd(wnd[(-z - 1) >> 1].neg());\n    } else {\n      // J +- J\n      if (z > 0)\n        acc = acc.add(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.add(wnd[(-z - 1) >> 1].neg());\n    }\n  }\n  return p.type === 'affine' ? acc.toP() : acc;\n};\n\nBaseCurve.prototype._wnafMulAdd = function _wnafMulAdd(defW,\n                                                       points,\n                                                       coeffs,\n                                                       len,\n                                                       jacobianResult) {\n  var wndWidth = this._wnafT1;\n  var wnd = this._wnafT2;\n  var naf = this._wnafT3;\n\n  // Fill all arrays\n  var max = 0;\n  for (var i = 0; i < len; i++) {\n    var p = points[i];\n    var nafPoints = p._getNAFPoints(defW);\n    wndWidth[i] = nafPoints.wnd;\n    wnd[i] = nafPoints.points;\n  }\n\n  // Comb small window NAFs\n  for (var i = len - 1; i >= 1; i -= 2) {\n    var a = i - 1;\n    var b = i;\n    if (wndWidth[a] !== 1 || wndWidth[b] !== 1) {\n      naf[a] = getNAF(coeffs[a], wndWidth[a]);\n      naf[b] = getNAF(coeffs[b], wndWidth[b]);\n      max = Math.max(naf[a].length, max);\n      max = Math.max(naf[b].length, max);\n      continue;\n    }\n\n    var comb = [\n      points[a], /* 1 */\n      null, /* 3 */\n      null, /* 5 */\n      points[b] /* 7 */\n    ];\n\n    // Try to avoid Projective points, if possible\n    if (points[a].y.cmp(points[b].y) === 0) {\n      comb[1] = points[a].add(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    } else if (points[a].y.cmp(points[b].y.redNeg()) === 0) {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].add(points[b].neg());\n    } else {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    }\n\n    var index = [\n      -3, /* -1 -1 */\n      -1, /* -1 0 */\n      -5, /* -1 1 */\n      -7, /* 0 -1 */\n      0, /* 0 0 */\n      7, /* 0 1 */\n      5, /* 1 -1 */\n      1, /* 1 0 */\n      3  /* 1 1 */\n    ];\n\n    var jsf = getJSF(coeffs[a], coeffs[b]);\n    max = Math.max(jsf[0].length, max);\n    naf[a] = new Array(max);\n    naf[b] = new Array(max);\n    for (var j = 0; j < max; j++) {\n      var ja = jsf[0][j] | 0;\n      var jb = jsf[1][j] | 0;\n\n      naf[a][j] = index[(ja + 1) * 3 + (jb + 1)];\n      naf[b][j] = 0;\n      wnd[a] = comb;\n    }\n  }\n\n  var acc = this.jpoint(null, null, null);\n  var tmp = this._wnafT4;\n  for (var i = max; i >= 0; i--) {\n    var k = 0;\n\n    while (i >= 0) {\n      var zero = true;\n      for (var j = 0; j < len; j++) {\n        tmp[j] = naf[j][i] | 0;\n        if (tmp[j] !== 0)\n          zero = false;\n      }\n      if (!zero)\n        break;\n      k++;\n      i--;\n    }\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n    if (i < 0)\n      break;\n\n    for (var j = 0; j < len; j++) {\n      var z = tmp[j];\n      var p;\n      if (z === 0)\n        continue;\n      else if (z > 0)\n        p = wnd[j][(z - 1) >> 1];\n      else if (z < 0)\n        p = wnd[j][(-z - 1) >> 1].neg();\n\n      if (p.type === 'affine')\n        acc = acc.mixedAdd(p);\n      else\n        acc = acc.add(p);\n    }\n  }\n  // Zeroify references\n  for (var i = 0; i < len; i++)\n    wnd[i] = null;\n\n  if (jacobianResult)\n    return acc;\n  else\n    return acc.toP();\n};\n\nfunction BasePoint(curve, type) {\n  this.curve = curve;\n  this.type = type;\n  this.precomputed = null;\n}\nBaseCurve.BasePoint = BasePoint;\n\nBasePoint.prototype.eq = function eq(/*other*/) {\n  throw new Error('Not implemented');\n};\n\nBasePoint.prototype.validate = function validate() {\n  return this.curve.validate(this);\n};\n\nBaseCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  bytes = utils.toArray(bytes, enc);\n\n  var len = this.p.byteLength();\n\n  // uncompressed, hybrid-odd, hybrid-even\n  if ((bytes[0] === 0x04 || bytes[0] === 0x06 || bytes[0] === 0x07) &&\n      bytes.length - 1 === 2 * len) {\n    if (bytes[0] === 0x06)\n      assert(bytes[bytes.length - 1] % 2 === 0);\n    else if (bytes[0] === 0x07)\n      assert(bytes[bytes.length - 1] % 2 === 1);\n\n    var res =  this.point(bytes.slice(1, 1 + len),\n                          bytes.slice(1 + len, 1 + 2 * len));\n\n    return res;\n  } else if ((bytes[0] === 0x02 || bytes[0] === 0x03) &&\n              bytes.length - 1 === len) {\n    return this.pointFromX(bytes.slice(1, 1 + len), bytes[0] === 0x03);\n  }\n  throw new Error('Unknown point format');\n};\n\nBasePoint.prototype.encodeCompressed = function encodeCompressed(enc) {\n  return this.encode(enc, true);\n};\n\nBasePoint.prototype._encode = function _encode(compact) {\n  var len = this.curve.p.byteLength();\n  var x = this.getX().toArray('be', len);\n\n  if (compact)\n    return [ this.getY().isEven() ? 0x02 : 0x03 ].concat(x);\n\n  return [ 0x04 ].concat(x, this.getY().toArray('be', len)) ;\n};\n\nBasePoint.prototype.encode = function encode(enc, compact) {\n  return utils.encode(this._encode(compact), enc);\n};\n\nBasePoint.prototype.precompute = function precompute(power) {\n  if (this.precomputed)\n    return this;\n\n  var precomputed = {\n    doubles: null,\n    naf: null,\n    beta: null\n  };\n  precomputed.naf = this._getNAFPoints(8);\n  precomputed.doubles = this._getDoubles(4, power);\n  precomputed.beta = this._getBeta();\n  this.precomputed = precomputed;\n\n  return this;\n};\n\nBasePoint.prototype._hasDoubles = function _hasDoubles(k) {\n  if (!this.precomputed)\n    return false;\n\n  var doubles = this.precomputed.doubles;\n  if (!doubles)\n    return false;\n\n  return doubles.points.length >= Math.ceil((k.bitLength() + 1) / doubles.step);\n};\n\nBasePoint.prototype._getDoubles = function _getDoubles(step, power) {\n  if (this.precomputed && this.precomputed.doubles)\n    return this.precomputed.doubles;\n\n  var doubles = [ this ];\n  var acc = this;\n  for (var i = 0; i < power; i += step) {\n    for (var j = 0; j < step; j++)\n      acc = acc.dbl();\n    doubles.push(acc);\n  }\n  return {\n    step: step,\n    points: doubles\n  };\n};\n\nBasePoint.prototype._getNAFPoints = function _getNAFPoints(wnd) {\n  if (this.precomputed && this.precomputed.naf)\n    return this.precomputed.naf;\n\n  var res = [ this ];\n  var max = (1 << wnd) - 1;\n  var dbl = max === 1 ? null : this.dbl();\n  for (var i = 1; i < max; i++)\n    res[i] = res[i - 1].add(dbl);\n  return {\n    wnd: wnd,\n    points: res\n  };\n};\n\nBasePoint.prototype._getBeta = function _getBeta() {\n  return null;\n};\n\nBasePoint.prototype.dblp = function dblp(k) {\n  var r = this;\n  for (var i = 0; i < k; i++)\n    r = r.dbl();\n  return r;\n};\n","'use strict';\n\nvar utils = exports;\nvar BN = require('bn.js');\nvar minAssert = require('minimalistic-assert');\nvar minUtils = require('minimalistic-crypto-utils');\n\nutils.assert = minAssert;\nutils.toArray = minUtils.toArray;\nutils.zero2 = minUtils.zero2;\nutils.toHex = minUtils.toHex;\nutils.encode = minUtils.encode;\n\n// Represent num in a w-NAF form\nfunction getNAF(num, w) {\n  var naf = [];\n  var ws = 1 << (w + 1);\n  var k = num.clone();\n  while (k.cmpn(1) >= 0) {\n    var z;\n    if (k.isOdd()) {\n      var mod = k.andln(ws - 1);\n      if (mod > (ws >> 1) - 1)\n        z = (ws >> 1) - mod;\n      else\n        z = mod;\n      k.isubn(z);\n    } else {\n      z = 0;\n    }\n    naf.push(z);\n\n    // Optimization, shift by word if possible\n    var shift = (k.cmpn(0) !== 0 && k.andln(ws - 1) === 0) ? (w + 1) : 1;\n    for (var i = 1; i < shift; i++)\n      naf.push(0);\n    k.iushrn(shift);\n  }\n\n  return naf;\n}\nutils.getNAF = getNAF;\n\n// Represent k1, k2 in a Joint Sparse Form\nfunction getJSF(k1, k2) {\n  var jsf = [\n    [],\n    []\n  ];\n\n  k1 = k1.clone();\n  k2 = k2.clone();\n  var d1 = 0;\n  var d2 = 0;\n  while (k1.cmpn(-d1) > 0 || k2.cmpn(-d2) > 0) {\n\n    // First phase\n    var m14 = (k1.andln(3) + d1) & 3;\n    var m24 = (k2.andln(3) + d2) & 3;\n    if (m14 === 3)\n      m14 = -1;\n    if (m24 === 3)\n      m24 = -1;\n    var u1;\n    if ((m14 & 1) === 0) {\n      u1 = 0;\n    } else {\n      var m8 = (k1.andln(7) + d1) & 7;\n      if ((m8 === 3 || m8 === 5) && m24 === 2)\n        u1 = -m14;\n      else\n        u1 = m14;\n    }\n    jsf[0].push(u1);\n\n    var u2;\n    if ((m24 & 1) === 0) {\n      u2 = 0;\n    } else {\n      var m8 = (k2.andln(7) + d2) & 7;\n      if ((m8 === 3 || m8 === 5) && m14 === 2)\n        u2 = -m24;\n      else\n        u2 = m24;\n    }\n    jsf[1].push(u2);\n\n    // Second phase\n    if (2 * d1 === u1 + 1)\n      d1 = 1 - d1;\n    if (2 * d2 === u2 + 1)\n      d2 = 1 - d2;\n    k1.iushrn(1);\n    k2.iushrn(1);\n  }\n\n  return jsf;\n}\nutils.getJSF = getJSF;\n\nfunction cachedProperty(obj, name, computer) {\n  var key = '_' + name;\n  obj.prototype[name] = function cachedProperty() {\n    return this[key] !== undefined ? this[key] :\n           this[key] = computer.call(this);\n  };\n}\nutils.cachedProperty = cachedProperty;\n\nfunction parseBytes(bytes) {\n  return typeof bytes === 'string' ? utils.toArray(bytes, 'hex') :\n                                     bytes;\n}\nutils.parseBytes = parseBytes;\n\nfunction intFromLE(bytes) {\n  return new BN(bytes, 'hex', 'le');\n}\nutils.intFromLE = intFromLE;\n\n","// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js\nvar createHmac = require('create-hmac')\nvar crt = require('browserify-rsa')\nvar EC = require('elliptic').ec\nvar BN = require('bn.js')\nvar parseKeys = require('parse-asn1')\nvar curves = require('./curves.json')\n\nfunction sign (hash, key, hashType, signType, tag) {\n  var priv = parseKeys(key)\n  if (priv.curve) {\n    // rsa keys can be interpreted as ecdsa ones in openssl\n    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')\n    return ecSign(hash, priv)\n  } else if (priv.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong private key type')\n    return dsaSign(hash, priv, hashType)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = priv.modulus.byteLength()\n  var pad = [ 0, 1 ]\n  while (hash.length + pad.length + 1 < len) pad.push(0xff)\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) pad.push(hash[i])\n\n  var out = crt(pad, priv)\n  return out\n}\n\nfunction ecSign (hash, priv) {\n  var curveId = curves[priv.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + priv.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var key = curve.keyFromPrivate(priv.privateKey)\n  var out = key.sign(hash)\n\n  return new Buffer(out.toDER())\n}\n\nfunction dsaSign (hash, priv, algo) {\n  var x = priv.params.priv_key\n  var p = priv.params.p\n  var q = priv.params.q\n  var g = priv.params.g\n  var r = new BN(0)\n  var k\n  var H = bits2int(hash, q).mod(q)\n  var s = false\n  var kv = getKey(x, q, hash, algo)\n  while (s === false) {\n    k = makeKey(q, kv, algo)\n    r = makeR(g, k, p, q)\n    s = k.invm(q).imul(H.add(x.mul(r))).mod(q)\n    if (s.cmpn(0) === 0) {\n      s = false\n      r = new BN(0)\n    }\n  }\n  return toDER(r, s)\n}\n\nfunction toDER (r, s) {\n  r = r.toArray()\n  s = s.toArray()\n\n  // Pad values\n  if (r[0] & 0x80) r = [ 0 ].concat(r)\n  if (s[0] & 0x80) s = [ 0 ].concat(s)\n\n  var total = r.length + s.length + 4\n  var res = [ 0x30, total, 0x02, r.length ]\n  res = res.concat(r, [ 0x02, s.length ], s)\n  return new Buffer(res)\n}\n\nfunction getKey (x, q, hash, algo) {\n  x = new Buffer(x.toArray())\n  if (x.length < q.byteLength()) {\n    var zeros = new Buffer(q.byteLength() - x.length)\n    zeros.fill(0)\n    x = Buffer.concat([ zeros, x ])\n  }\n  var hlen = hash.length\n  var hbits = bits2octets(hash, q)\n  var v = new Buffer(hlen)\n  v.fill(1)\n  var k = new Buffer(hlen)\n  k.fill(0)\n  k = createHmac(algo, k).update(v).update(new Buffer([ 0 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  k = createHmac(algo, k).update(v).update(new Buffer([ 1 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  return { k: k, v: v }\n}\n\nfunction bits2int (obits, q) {\n  var bits = new BN(obits)\n  var shift = (obits.length << 3) - q.bitLength()\n  if (shift > 0) bits.ishrn(shift)\n  return bits\n}\n\nfunction bits2octets (bits, q) {\n  bits = bits2int(bits, q)\n  bits = bits.mod(q)\n  var out = new Buffer(bits.toArray())\n  if (out.length < q.byteLength()) {\n    var zeros = new Buffer(q.byteLength() - out.length)\n    zeros.fill(0)\n    out = Buffer.concat([ zeros, out ])\n  }\n  return out\n}\n\nfunction makeKey (q, kv, algo) {\n  var t\n  var k\n\n  do {\n    t = new Buffer(0)\n\n    while (t.length * 8 < q.bitLength()) {\n      kv.v = createHmac(algo, kv.k).update(kv.v).digest()\n      t = Buffer.concat([ t, kv.v ])\n    }\n\n    k = bits2int(t, q)\n    kv.k = createHmac(algo, kv.k).update(kv.v).update(new Buffer([ 0 ])).digest()\n    kv.v = createHmac(algo, kv.k).update(kv.v).digest()\n  } while (k.cmp(q) !== -1)\n\n  return k\n}\n\nfunction makeR (g, k, p, q) {\n  return g.toRed(BN.mont(p)).redPow(k).fromRed().mod(q)\n}\n\nmodule.exports = sign\nmodule.exports.getKey = getKey\nmodule.exports.makeKey = makeKey\n","var createHash = require('create-hash')\nvar stream = require('stream')\nvar inherits = require('inherits')\nvar sign = require('./sign')\nvar verify = require('./verify')\n\nvar algorithms = require('./algorithms.json')\nObject.keys(algorithms).forEach(function (key) {\n  algorithms[key].id = new Buffer(algorithms[key].id, 'hex')\n  algorithms[key.toLowerCase()] = algorithms[key]\n})\n\nfunction Sign (algorithm) {\n  stream.Writable.call(this)\n\n  var data = algorithms[algorithm]\n  if (!data) throw new Error('Unknown message digest')\n\n  this._hashType = data.hash\n  this._hash = createHash(data.hash)\n  this._tag = data.id\n  this._signType = data.sign\n}\ninherits(Sign, stream.Writable)\n\nSign.prototype._write = function _write (data, _, done) {\n  this._hash.update(data)\n  done()\n}\n\nSign.prototype.update = function update (data, enc) {\n  if (typeof data === 'string') data = new Buffer(data, enc)\n\n  this._hash.update(data)\n  return this\n}\n\nSign.prototype.sign = function signMethod (key, enc) {\n  this.end()\n  var hash = this._hash.digest()\n  var sig = sign(hash, key, this._hashType, this._signType, this._tag)\n\n  return enc ? sig.toString(enc) : sig\n}\n\nfunction Verify (algorithm) {\n  stream.Writable.call(this)\n\n  var data = algorithms[algorithm]\n  if (!data) throw new Error('Unknown message digest')\n\n  this._hash = createHash(data.hash)\n  this._tag = data.id\n  this._signType = data.sign\n}\ninherits(Verify, stream.Writable)\n\nVerify.prototype._write = function _write (data, _, done) {\n  this._hash.update(data)\n  done()\n}\n\nVerify.prototype.update = function update (data, enc) {\n  if (typeof data === 'string') data = new Buffer(data, enc)\n\n  this._hash.update(data)\n  return this\n}\n\nVerify.prototype.verify = function verifyMethod (key, sig, enc) {\n  if (typeof sig === 'string') sig = new Buffer(sig, enc)\n\n  this.end()\n  var hash = this._hash.digest()\n  return verify(sig, hash, key, this._signType, this._tag)\n}\n\nfunction createSign (algorithm) {\n  return new Sign(algorithm)\n}\n\nfunction createVerify (algorithm) {\n  return new Verify(algorithm)\n}\n\nmodule.exports = {\n  Sign: createSign,\n  Verify: createVerify,\n  createSign: createSign,\n  createVerify: createVerify\n}\n","var BN = require('bn.js');\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar TWENTYFOUR = new BN(24);\nvar ELEVEN = new BN(11);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar primes = require('./generatePrime');\nvar randomBytes = require('randombytes');\nmodule.exports = DH;\n\nfunction setPublicKey(pub, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(pub)) {\n    pub = new Buffer(pub, enc);\n  }\n  this._pub = new BN(pub);\n  return this;\n}\n\nfunction setPrivateKey(priv, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(priv)) {\n    priv = new Buffer(priv, enc);\n  }\n  this._priv = new BN(priv);\n  return this;\n}\n\nvar primeCache = {};\nfunction checkPrime(prime, generator) {\n  var gen = generator.toString('hex');\n  var hex = [gen, prime.toString(16)].join('_');\n  if (hex in primeCache) {\n    return primeCache[hex];\n  }\n  var error = 0;\n\n  if (prime.isEven() ||\n    !primes.simpleSieve ||\n    !primes.fermatTest(prime) ||\n    !millerRabin.test(prime)) {\n    //not a prime so +1\n    error += 1;\n\n    if (gen === '02' || gen === '05') {\n      // we'd be able to check the generator\n      // it would fail so +8\n      error += 8;\n    } else {\n      //we wouldn't be able to test the generator\n      // so +4\n      error += 4;\n    }\n    primeCache[hex] = error;\n    return error;\n  }\n  if (!millerRabin.test(prime.shrn(1))) {\n    //not a safe prime\n    error += 2;\n  }\n  var rem;\n  switch (gen) {\n    case '02':\n      if (prime.mod(TWENTYFOUR).cmp(ELEVEN)) {\n        // unsuidable generator\n        error += 8;\n      }\n      break;\n    case '05':\n      rem = prime.mod(TEN);\n      if (rem.cmp(THREE) && rem.cmp(SEVEN)) {\n        // prime mod 10 needs to equal 3 or 7\n        error += 8;\n      }\n      break;\n    default:\n      error += 4;\n  }\n  primeCache[hex] = error;\n  return error;\n}\n\nfunction DH(prime, generator, malleable) {\n  this.setGenerator(generator);\n  this.__prime = new BN(prime);\n  this._prime = BN.mont(this.__prime);\n  this._primeLen = prime.length;\n  this._pub = undefined;\n  this._priv = undefined;\n  this._primeCode = undefined;\n  if (malleable) {\n    this.setPublicKey = setPublicKey;\n    this.setPrivateKey = setPrivateKey;\n  } else {\n    this._primeCode = 8;\n  }\n}\nObject.defineProperty(DH.prototype, 'verifyError', {\n  enumerable: true,\n  get: function () {\n    if (typeof this._primeCode !== 'number') {\n      this._primeCode = checkPrime(this.__prime, this.__gen);\n    }\n    return this._primeCode;\n  }\n});\nDH.prototype.generateKeys = function () {\n  if (!this._priv) {\n    this._priv = new BN(randomBytes(this._primeLen));\n  }\n  this._pub = this._gen.toRed(this._prime).redPow(this._priv).fromRed();\n  return this.getPublicKey();\n};\n\nDH.prototype.computeSecret = function (other) {\n  other = new BN(other);\n  other = other.toRed(this._prime);\n  var secret = other.redPow(this._priv).fromRed();\n  var out = new Buffer(secret.toArray());\n  var prime = this.getPrime();\n  if (out.length < prime.length) {\n    var front = new Buffer(prime.length - out.length);\n    front.fill(0);\n    out = Buffer.concat([front, out]);\n  }\n  return out;\n};\n\nDH.prototype.getPublicKey = function getPublicKey(enc) {\n  return formatReturnValue(this._pub, enc);\n};\n\nDH.prototype.getPrivateKey = function getPrivateKey(enc) {\n  return formatReturnValue(this._priv, enc);\n};\n\nDH.prototype.getPrime = function (enc) {\n  return formatReturnValue(this.__prime, enc);\n};\n\nDH.prototype.getGenerator = function (enc) {\n  return formatReturnValue(this._gen, enc);\n};\n\nDH.prototype.setGenerator = function (gen, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(gen)) {\n    gen = new Buffer(gen, enc);\n  }\n  this.__gen = gen;\n  this._gen = new BN(gen);\n  return this;\n};\n\nfunction formatReturnValue(bn, enc) {\n  var buf = new Buffer(bn.toArray());\n  if (!enc) {\n    return buf;\n  } else {\n    return buf.toString(enc);\n  }\n}\n","module.exports = function(module) {\r\n\tif (!module.webpackPolyfill) {\r\n\t\tmodule.deprecate = function() {};\r\n\t\tmodule.paths = [];\r\n\t\t// module.parent = undefined by default\r\n\t\tif (!module.children) module.children = [];\r\n\t\tObject.defineProperty(module, \"loaded\", {\r\n\t\t\tenumerable: true,\r\n\t\t\tget: function() {\r\n\t\t\t\treturn module.l;\r\n\t\t\t}\r\n\t\t});\r\n\t\tObject.defineProperty(module, \"id\", {\r\n\t\t\tenumerable: true,\r\n\t\t\tget: function() {\r\n\t\t\t\treturn module.i;\r\n\t\t\t}\r\n\t\t});\r\n\t\tmodule.webpackPolyfill = 1;\r\n\t}\r\n\treturn module;\r\n};\r\n","var generatePrime = require('./lib/generatePrime')\nvar primes = require('./lib/primes.json')\n\nvar DH = require('./lib/dh')\n\nfunction getDiffieHellman (mod) {\n  var prime = new Buffer(primes[mod].prime, 'hex')\n  var gen = new Buffer(primes[mod].gen, 'hex')\n\n  return new DH(prime, gen)\n}\n\nvar ENCODINGS = {\n  'binary': true, 'hex': true, 'base64': true\n}\n\nfunction createDiffieHellman (prime, enc, generator, genc) {\n  if (Buffer.isBuffer(enc) || ENCODINGS[enc] === undefined) {\n    return createDiffieHellman(prime, 'binary', enc, generator)\n  }\n\n  enc = enc || 'binary'\n  genc = genc || 'binary'\n  generator = generator || new Buffer([2])\n\n  if (!Buffer.isBuffer(generator)) {\n    generator = new Buffer(generator, genc)\n  }\n\n  if (typeof prime === 'number') {\n    return new DH(generatePrime(prime, generator), generator, true)\n  }\n\n  if (!Buffer.isBuffer(prime)) {\n    prime = new Buffer(prime, enc)\n  }\n\n  return new DH(prime, generator, true)\n}\n\nexports.DiffieHellmanGroup = exports.createDiffieHellmanGroup = exports.getDiffieHellman = getDiffieHellman\nexports.createDiffieHellman = exports.DiffieHellman = createDiffieHellman\n","exports['des-ecb'] = {\n  key: 8,\n  iv: 0\n}\nexports['des-cbc'] = exports.des = {\n  key: 8,\n  iv: 8\n}\nexports['des-ede3-cbc'] = exports.des3 = {\n  key: 24,\n  iv: 8\n}\nexports['des-ede3'] = {\n  key: 24,\n  iv: 0\n}\nexports['des-ede-cbc'] = {\n  key: 16,\n  iv: 8\n}\nexports['des-ede'] = {\n  key: 16,\n  iv: 0\n}\n","var AuthCipher = require('./authCipher')\nvar Buffer = require('safe-buffer').Buffer\nvar MODES = require('./modes')\nvar StreamCipher = require('./streamCipher')\nvar Transform = require('cipher-base')\nvar aes = require('./aes')\nvar ebtk = require('evp_bytestokey')\nvar inherits = require('inherits')\n\nfunction Decipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._last = void 0\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Decipher, Transform)\n\nDecipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n  while ((chunk = this._cache.get(this._autopadding))) {\n    thing = this._mode.decrypt(this, chunk)\n    out.push(thing)\n  }\n  return Buffer.concat(out)\n}\n\nDecipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    return unpad(this._mode.decrypt(this, chunk))\n  } else if (chunk) {\n    throw new Error('data not multiple of block length')\n  }\n}\n\nDecipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  return this\n}\n\nfunction Splitter () {\n  this.cache = Buffer.allocUnsafe(0)\n}\n\nSplitter.prototype.add = function (data) {\n  this.cache = Buffer.concat([this.cache, data])\n}\n\nSplitter.prototype.get = function (autoPadding) {\n  var out\n  if (autoPadding) {\n    if (this.cache.length > 16) {\n      out = this.cache.slice(0, 16)\n      this.cache = this.cache.slice(16)\n      return out\n    }\n  } else {\n    if (this.cache.length >= 16) {\n      out = this.cache.slice(0, 16)\n      this.cache = this.cache.slice(16)\n      return out\n    }\n  }\n\n  return null\n}\n\nSplitter.prototype.flush = function () {\n  if (this.cache.length) return this.cache\n}\n\nfunction unpad (last) {\n  var padded = last[15]\n  if (padded < 1 || padded > 16) {\n    throw new Error('unable to decrypt data')\n  }\n  var i = -1\n  while (++i < padded) {\n    if (last[(i + (16 - padded))] !== padded) {\n      throw new Error('unable to decrypt data')\n    }\n  }\n  if (padded === 16) return\n\n  return last.slice(0, 16 - padded)\n}\n\nfunction createDecipheriv (suite, password, iv) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  if (typeof iv === 'string') iv = Buffer.from(iv)\n  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)\n\n  if (typeof password === 'string') password = Buffer.from(password)\n  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)\n\n  if (config.type === 'stream') {\n    return new StreamCipher(config.module, password, iv, true)\n  } else if (config.type === 'auth') {\n    return new AuthCipher(config.module, password, iv, true)\n  }\n\n  return new Decipher(config.module, password, iv)\n}\n\nfunction createDecipher (suite, password) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  var keys = ebtk(password, false, config.key, config.iv)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nexports.createDecipher = createDecipher\nexports.createDecipheriv = createDecipheriv\n","var Buffer = require('safe-buffer').Buffer\nvar ZEROES = Buffer.alloc(16, 0)\n\nfunction toArray (buf) {\n  return [\n    buf.readUInt32BE(0),\n    buf.readUInt32BE(4),\n    buf.readUInt32BE(8),\n    buf.readUInt32BE(12)\n  ]\n}\n\nfunction fromArray (out) {\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0] >>> 0, 0)\n  buf.writeUInt32BE(out[1] >>> 0, 4)\n  buf.writeUInt32BE(out[2] >>> 0, 8)\n  buf.writeUInt32BE(out[3] >>> 0, 12)\n  return buf\n}\n\nfunction GHASH (key) {\n  this.h = key\n  this.state = Buffer.alloc(16, 0)\n  this.cache = Buffer.allocUnsafe(0)\n}\n\n// from http://bitwiseshiftleft.github.io/sjcl/doc/symbols/src/core_gcm.js.html\n// by Juho Vähä-Herttua\nGHASH.prototype.ghash = function (block) {\n  var i = -1\n  while (++i < block.length) {\n    this.state[i] ^= block[i]\n  }\n  this._multiply()\n}\n\nGHASH.prototype._multiply = function () {\n  var Vi = toArray(this.h)\n  var Zi = [0, 0, 0, 0]\n  var j, xi, lsbVi\n  var i = -1\n  while (++i < 128) {\n    xi = (this.state[~~(i / 8)] & (1 << (7 - (i % 8)))) !== 0\n    if (xi) {\n      // Z_i+1 = Z_i ^ V_i\n      Zi[0] ^= Vi[0]\n      Zi[1] ^= Vi[1]\n      Zi[2] ^= Vi[2]\n      Zi[3] ^= Vi[3]\n    }\n\n    // Store the value of LSB(V_i)\n    lsbVi = (Vi[3] & 1) !== 0\n\n    // V_i+1 = V_i >> 1\n    for (j = 3; j > 0; j--) {\n      Vi[j] = (Vi[j] >>> 1) | ((Vi[j - 1] & 1) << 31)\n    }\n    Vi[0] = Vi[0] >>> 1\n\n    // If LSB(V_i) is 1, V_i+1 = (V_i >> 1) ^ R\n    if (lsbVi) {\n      Vi[0] = Vi[0] ^ (0xe1 << 24)\n    }\n  }\n  this.state = fromArray(Zi)\n}\n\nGHASH.prototype.update = function (buf) {\n  this.cache = Buffer.concat([this.cache, buf])\n  var chunk\n  while (this.cache.length >= 16) {\n    chunk = this.cache.slice(0, 16)\n    this.cache = this.cache.slice(16)\n    this.ghash(chunk)\n  }\n}\n\nGHASH.prototype.final = function (abl, bl) {\n  if (this.cache.length) {\n    this.ghash(Buffer.concat([this.cache, ZEROES], 16))\n  }\n\n  this.ghash(fromArray([0, abl, 0, bl]))\n  return this.state\n}\n\nmodule.exports = GHASH\n","var xor = require('buffer-xor')\n\nfunction getBlock (self) {\n  self._prev = self._cipher.encryptBlock(self._prev)\n  return self._prev\n}\n\nexports.encrypt = function (self, chunk) {\n  while (self._cache.length < chunk.length) {\n    self._cache = Buffer.concat([self._cache, getBlock(self)])\n  }\n\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","var Buffer = require('safe-buffer').Buffer\n\nfunction encryptByte (self, byteParam, decrypt) {\n  var pad\n  var i = -1\n  var len = 8\n  var out = 0\n  var bit, value\n  while (++i < len) {\n    pad = self._cipher.encryptBlock(self._prev)\n    bit = (byteParam & (1 << (7 - i))) ? 0x80 : 0\n    value = pad[0] ^ bit\n    out += ((value & 0x80) >> (i % 8))\n    self._prev = shiftIn(self._prev, decrypt ? bit : value)\n  }\n  return out\n}\n\nfunction shiftIn (buffer, value) {\n  var len = buffer.length\n  var i = -1\n  var out = Buffer.allocUnsafe(buffer.length)\n  buffer = Buffer.concat([buffer, Buffer.from([value])])\n\n  while (++i < len) {\n    out[i] = buffer[i] << 1 | buffer[i + 1] >> (7)\n  }\n\n  return out\n}\n\nexports.encrypt = function (self, chunk, decrypt) {\n  var len = chunk.length\n  var out = Buffer.allocUnsafe(len)\n  var i = -1\n\n  while (++i < len) {\n    out[i] = encryptByte(self, chunk[i], decrypt)\n  }\n\n  return out\n}\n","var Buffer = require('safe-buffer').Buffer\n\nfunction encryptByte (self, byteParam, decrypt) {\n  var pad = self._cipher.encryptBlock(self._prev)\n  var out = pad[0] ^ byteParam\n\n  self._prev = Buffer.concat([\n    self._prev.slice(1),\n    Buffer.from([decrypt ? byteParam : out])\n  ])\n\n  return out\n}\n\nexports.encrypt = function (self, chunk, decrypt) {\n  var len = chunk.length\n  var out = Buffer.allocUnsafe(len)\n  var i = -1\n\n  while (++i < len) {\n    out[i] = encryptByte(self, chunk[i], decrypt)\n  }\n\n  return out\n}\n","var Buffer = require('safe-buffer').Buffer\nvar xor = require('buffer-xor')\n\nfunction encryptStart (self, data, decrypt) {\n  var len = data.length\n  var out = xor(data, self._cache)\n  self._cache = self._cache.slice(len)\n  self._prev = Buffer.concat([self._prev, decrypt ? data : out])\n  return out\n}\n\nexports.encrypt = function (self, data, decrypt) {\n  var out = Buffer.allocUnsafe(0)\n  var len\n\n  while (data.length) {\n    if (self._cache.length === 0) {\n      self._cache = self._cipher.encryptBlock(self._prev)\n      self._prev = Buffer.allocUnsafe(0)\n    }\n\n    if (self._cache.length <= data.length) {\n      len = self._cache.length\n      out = Buffer.concat([out, encryptStart(self, data.slice(0, len), decrypt)])\n      data = data.slice(len)\n    } else {\n      out = Buffer.concat([out, encryptStart(self, data, decrypt)])\n      break\n    }\n  }\n\n  return out\n}\n","var xor = require('buffer-xor')\n\nexports.encrypt = function (self, block) {\n  var data = xor(block, self._prev)\n\n  self._prev = self._cipher.encryptBlock(data)\n  return self._prev\n}\n\nexports.decrypt = function (self, block) {\n  var pad = self._prev\n\n  self._prev = block\n  var out = self._cipher.decryptBlock(block)\n\n  return xor(out, pad)\n}\n","exports.encrypt = function (self, block) {\n  return self._cipher.encryptBlock(block)\n}\n\nexports.decrypt = function (self, block) {\n  return self._cipher.decryptBlock(block)\n}\n","var MODES = require('./modes')\nvar AuthCipher = require('./authCipher')\nvar Buffer = require('safe-buffer').Buffer\nvar StreamCipher = require('./streamCipher')\nvar Transform = require('cipher-base')\nvar aes = require('./aes')\nvar ebtk = require('evp_bytestokey')\nvar inherits = require('inherits')\n\nfunction Cipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Cipher, Transform)\n\nCipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n\n  while ((chunk = this._cache.get())) {\n    thing = this._mode.encrypt(this, chunk)\n    out.push(thing)\n  }\n\n  return Buffer.concat(out)\n}\n\nvar PADDING = Buffer.alloc(16, 0x10)\n\nCipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    chunk = this._mode.encrypt(this, chunk)\n    this._cipher.scrub()\n    return chunk\n  }\n\n  if (!chunk.equals(PADDING)) {\n    this._cipher.scrub()\n    throw new Error('data not multiple of block length')\n  }\n}\n\nCipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  return this\n}\n\nfunction Splitter () {\n  this.cache = Buffer.allocUnsafe(0)\n}\n\nSplitter.prototype.add = function (data) {\n  this.cache = Buffer.concat([this.cache, data])\n}\n\nSplitter.prototype.get = function () {\n  if (this.cache.length > 15) {\n    var out = this.cache.slice(0, 16)\n    this.cache = this.cache.slice(16)\n    return out\n  }\n  return null\n}\n\nSplitter.prototype.flush = function () {\n  var len = 16 - this.cache.length\n  var padBuff = Buffer.allocUnsafe(len)\n\n  var i = -1\n  while (++i < len) {\n    padBuff.writeUInt8(len, i)\n  }\n\n  return Buffer.concat([this.cache, padBuff])\n}\n\nfunction createCipheriv (suite, password, iv) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  if (typeof password === 'string') password = Buffer.from(password)\n  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)\n\n  if (typeof iv === 'string') iv = Buffer.from(iv)\n  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)\n\n  if (config.type === 'stream') {\n    return new StreamCipher(config.module, password, iv)\n  } else if (config.type === 'auth') {\n    return new AuthCipher(config.module, password, iv)\n  }\n\n  return new Cipher(config.module, password, iv)\n}\n\nfunction createCipher (suite, password) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  var keys = ebtk(password, false, config.key, config.iv)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nexports.createCipheriv = createCipheriv\nexports.createCipher = createCipher\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar des = require('../des');\nvar Cipher = des.Cipher;\nvar DES = des.DES;\n\nfunction EDEState(type, key) {\n  assert.equal(key.length, 24, 'Invalid key length');\n\n  var k1 = key.slice(0, 8);\n  var k2 = key.slice(8, 16);\n  var k3 = key.slice(16, 24);\n\n  if (type === 'encrypt') {\n    this.ciphers = [\n      DES.create({ type: 'encrypt', key: k1 }),\n      DES.create({ type: 'decrypt', key: k2 }),\n      DES.create({ type: 'encrypt', key: k3 })\n    ];\n  } else {\n    this.ciphers = [\n      DES.create({ type: 'decrypt', key: k3 }),\n      DES.create({ type: 'encrypt', key: k2 }),\n      DES.create({ type: 'decrypt', key: k1 })\n    ];\n  }\n}\n\nfunction EDE(options) {\n  Cipher.call(this, options);\n\n  var state = new EDEState(this.type, this.options.key);\n  this._edeState = state;\n}\ninherits(EDE, Cipher);\n\nmodule.exports = EDE;\n\nEDE.create = function create(options) {\n  return new EDE(options);\n};\n\nEDE.prototype._update = function _update(inp, inOff, out, outOff) {\n  var state = this._edeState;\n\n  state.ciphers[0]._update(inp, inOff, out, outOff);\n  state.ciphers[1]._update(out, outOff, out, outOff);\n  state.ciphers[2]._update(out, outOff, out, outOff);\n};\n\nEDE.prototype._pad = DES.prototype._pad;\nEDE.prototype._unpad = DES.prototype._unpad;\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar proto = {};\n\nfunction CBCState(iv) {\n  assert.equal(iv.length, 8, 'Invalid IV length');\n\n  this.iv = new Array(8);\n  for (var i = 0; i < this.iv.length; i++)\n    this.iv[i] = iv[i];\n}\n\nfunction instantiate(Base) {\n  function CBC(options) {\n    Base.call(this, options);\n    this._cbcInit();\n  }\n  inherits(CBC, Base);\n\n  var keys = Object.keys(proto);\n  for (var i = 0; i < keys.length; i++) {\n    var key = keys[i];\n    CBC.prototype[key] = proto[key];\n  }\n\n  CBC.create = function create(options) {\n    return new CBC(options);\n  };\n\n  return CBC;\n}\n\nexports.instantiate = instantiate;\n\nproto._cbcInit = function _cbcInit() {\n  var state = new CBCState(this.options.iv);\n  this._cbcState = state;\n};\n\nproto._update = function _update(inp, inOff, out, outOff) {\n  var state = this._cbcState;\n  var superProto = this.constructor.super_.prototype;\n\n  var iv = state.iv;\n  if (this.type === 'encrypt') {\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] ^= inp[inOff + i];\n\n    superProto._update.call(this, iv, 0, out, outOff);\n\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] = out[outOff + i];\n  } else {\n    superProto._update.call(this, inp, inOff, out, outOff);\n\n    for (var i = 0; i < this.blockSize; i++)\n      out[outOff + i] ^= iv[i];\n\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] = inp[inOff + i];\n  }\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar des = require('../des');\nvar utils = des.utils;\nvar Cipher = des.Cipher;\n\nfunction DESState() {\n  this.tmp = new Array(2);\n  this.keys = null;\n}\n\nfunction DES(options) {\n  Cipher.call(this, options);\n\n  var state = new DESState();\n  this._desState = state;\n\n  this.deriveKeys(state, options.key);\n}\ninherits(DES, Cipher);\nmodule.exports = DES;\n\nDES.create = function create(options) {\n  return new DES(options);\n};\n\nvar shiftTable = [\n  1, 1, 2, 2, 2, 2, 2, 2,\n  1, 2, 2, 2, 2, 2, 2, 1\n];\n\nDES.prototype.deriveKeys = function deriveKeys(state, key) {\n  state.keys = new Array(16 * 2);\n\n  assert.equal(key.length, this.blockSize, 'Invalid key length');\n\n  var kL = utils.readUInt32BE(key, 0);\n  var kR = utils.readUInt32BE(key, 4);\n\n  utils.pc1(kL, kR, state.tmp, 0);\n  kL = state.tmp[0];\n  kR = state.tmp[1];\n  for (var i = 0; i < state.keys.length; i += 2) {\n    var shift = shiftTable[i >>> 1];\n    kL = utils.r28shl(kL, shift);\n    kR = utils.r28shl(kR, shift);\n    utils.pc2(kL, kR, state.keys, i);\n  }\n};\n\nDES.prototype._update = function _update(inp, inOff, out, outOff) {\n  var state = this._desState;\n\n  var l = utils.readUInt32BE(inp, inOff);\n  var r = utils.readUInt32BE(inp, inOff + 4);\n\n  // Initial Permutation\n  utils.ip(l, r, state.tmp, 0);\n  l = state.tmp[0];\n  r = state.tmp[1];\n\n  if (this.type === 'encrypt')\n    this._encrypt(state, l, r, state.tmp, 0);\n  else\n    this._decrypt(state, l, r, state.tmp, 0);\n\n  l = state.tmp[0];\n  r = state.tmp[1];\n\n  utils.writeUInt32BE(out, l, outOff);\n  utils.writeUInt32BE(out, r, outOff + 4);\n};\n\nDES.prototype._pad = function _pad(buffer, off) {\n  var value = buffer.length - off;\n  for (var i = off; i < buffer.length; i++)\n    buffer[i] = value;\n\n  return true;\n};\n\nDES.prototype._unpad = function _unpad(buffer) {\n  var pad = buffer[buffer.length - 1];\n  for (var i = buffer.length - pad; i < buffer.length; i++)\n    assert.equal(buffer[i], pad);\n\n  return buffer.slice(0, buffer.length - pad);\n};\n\nDES.prototype._encrypt = function _encrypt(state, lStart, rStart, out, off) {\n  var l = lStart;\n  var r = rStart;\n\n  // Apply f() x16 times\n  for (var i = 0; i < state.keys.length; i += 2) {\n    var keyL = state.keys[i];\n    var keyR = state.keys[i + 1];\n\n    // f(r, k)\n    utils.expand(r, state.tmp, 0);\n\n    keyL ^= state.tmp[0];\n    keyR ^= state.tmp[1];\n    var s = utils.substitute(keyL, keyR);\n    var f = utils.permute(s);\n\n    var t = r;\n    r = (l ^ f) >>> 0;\n    l = t;\n  }\n\n  // Reverse Initial Permutation\n  utils.rip(r, l, out, off);\n};\n\nDES.prototype._decrypt = function _decrypt(state, lStart, rStart, out, off) {\n  var l = rStart;\n  var r = lStart;\n\n  // Apply f() x16 times\n  for (var i = state.keys.length - 2; i >= 0; i -= 2) {\n    var keyL = state.keys[i];\n    var keyR = state.keys[i + 1];\n\n    // f(r, k)\n    utils.expand(l, state.tmp, 0);\n\n    keyL ^= state.tmp[0];\n    keyR ^= state.tmp[1];\n    var s = utils.substitute(keyL, keyR);\n    var f = utils.permute(s);\n\n    var t = l;\n    l = (r ^ f) >>> 0;\n    r = t;\n  }\n\n  // Reverse Initial Permutation\n  utils.rip(l, r, out, off);\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\n\nfunction Cipher(options) {\n  this.options = options;\n\n  this.type = this.options.type;\n  this.blockSize = 8;\n  this._init();\n\n  this.buffer = new Array(this.blockSize);\n  this.bufferOff = 0;\n}\nmodule.exports = Cipher;\n\nCipher.prototype._init = function _init() {\n  // Might be overrided\n};\n\nCipher.prototype.update = function update(data) {\n  if (data.length === 0)\n    return [];\n\n  if (this.type === 'decrypt')\n    return this._updateDecrypt(data);\n  else\n    return this._updateEncrypt(data);\n};\n\nCipher.prototype._buffer = function _buffer(data, off) {\n  // Append data to buffer\n  var min = Math.min(this.buffer.length - this.bufferOff, data.length - off);\n  for (var i = 0; i < min; i++)\n    this.buffer[this.bufferOff + i] = data[off + i];\n  this.bufferOff += min;\n\n  // Shift next\n  return min;\n};\n\nCipher.prototype._flushBuffer = function _flushBuffer(out, off) {\n  this._update(this.buffer, 0, out, off);\n  this.bufferOff = 0;\n  return this.blockSize;\n};\n\nCipher.prototype._updateEncrypt = function _updateEncrypt(data) {\n  var inputOff = 0;\n  var outputOff = 0;\n\n  var count = ((this.bufferOff + data.length) / this.blockSize) | 0;\n  var out = new Array(count * this.blockSize);\n\n  if (this.bufferOff !== 0) {\n    inputOff += this._buffer(data, inputOff);\n\n    if (this.bufferOff === this.buffer.length)\n      outputOff += this._flushBuffer(out, outputOff);\n  }\n\n  // Write blocks\n  var max = data.length - ((data.length - inputOff) % this.blockSize);\n  for (; inputOff < max; inputOff += this.blockSize) {\n    this._update(data, inputOff, out, outputOff);\n    outputOff += this.blockSize;\n  }\n\n  // Queue rest\n  for (; inputOff < data.length; inputOff++, this.bufferOff++)\n    this.buffer[this.bufferOff] = data[inputOff];\n\n  return out;\n};\n\nCipher.prototype._updateDecrypt = function _updateDecrypt(data) {\n  var inputOff = 0;\n  var outputOff = 0;\n\n  var count = Math.ceil((this.bufferOff + data.length) / this.blockSize) - 1;\n  var out = new Array(count * this.blockSize);\n\n  // TODO(indutny): optimize it, this is far from optimal\n  for (; count > 0; count--) {\n    inputOff += this._buffer(data, inputOff);\n    outputOff += this._flushBuffer(out, outputOff);\n  }\n\n  // Buffer rest of the input\n  inputOff += this._buffer(data, inputOff);\n\n  return out;\n};\n\nCipher.prototype.final = function final(buffer) {\n  var first;\n  if (buffer)\n    first = this.update(buffer);\n\n  var last;\n  if (this.type === 'encrypt')\n    last = this._finalEncrypt();\n  else\n    last = this._finalDecrypt();\n\n  if (first)\n    return first.concat(last);\n  else\n    return last;\n};\n\nCipher.prototype._pad = function _pad(buffer, off) {\n  if (off === 0)\n    return false;\n\n  while (off < buffer.length)\n    buffer[off++] = 0;\n\n  return true;\n};\n\nCipher.prototype._finalEncrypt = function _finalEncrypt() {\n  if (!this._pad(this.buffer, this.bufferOff))\n    return [];\n\n  var out = new Array(this.blockSize);\n  this._update(this.buffer, 0, out, 0);\n  return out;\n};\n\nCipher.prototype._unpad = function _unpad(buffer) {\n  return buffer;\n};\n\nCipher.prototype._finalDecrypt = function _finalDecrypt() {\n  assert.equal(this.bufferOff, this.blockSize, 'Not enough data to decrypt');\n  var out = new Array(this.blockSize);\n  this._flushBuffer(out, 0);\n\n  return this._unpad(out);\n};\n","'use strict';\n\nexports.readUInt32BE = function readUInt32BE(bytes, off) {\n  var res =  (bytes[0 + off] << 24) |\n             (bytes[1 + off] << 16) |\n             (bytes[2 + off] << 8) |\n             bytes[3 + off];\n  return res >>> 0;\n};\n\nexports.writeUInt32BE = function writeUInt32BE(bytes, value, off) {\n  bytes[0 + off] = value >>> 24;\n  bytes[1 + off] = (value >>> 16) & 0xff;\n  bytes[2 + off] = (value >>> 8) & 0xff;\n  bytes[3 + off] = value & 0xff;\n};\n\nexports.ip = function ip(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  for (var i = 6; i >= 0; i -= 2) {\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inR >>> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  for (var i = 6; i >= 0; i -= 2) {\n    for (var j = 1; j <= 25; j += 8) {\n      outR <<= 1;\n      outR |= (inR >>> (j + i)) & 1;\n    }\n    for (var j = 1; j <= 25; j += 8) {\n      outR <<= 1;\n      outR |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.rip = function rip(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  for (var i = 0; i < 4; i++) {\n    for (var j = 24; j >= 0; j -= 8) {\n      outL <<= 1;\n      outL |= (inR >>> (j + i)) & 1;\n      outL <<= 1;\n      outL |= (inL >>> (j + i)) & 1;\n    }\n  }\n  for (var i = 4; i < 8; i++) {\n    for (var j = 24; j >= 0; j -= 8) {\n      outR <<= 1;\n      outR |= (inR >>> (j + i)) & 1;\n      outR <<= 1;\n      outR |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.pc1 = function pc1(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  // 7, 15, 23, 31, 39, 47, 55, 63\n  // 6, 14, 22, 30, 39, 47, 55, 63\n  // 5, 13, 21, 29, 39, 47, 55, 63\n  // 4, 12, 20, 28\n  for (var i = 7; i >= 5; i--) {\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outL <<= 1;\n    outL |= (inR >> (j + i)) & 1;\n  }\n\n  // 1, 9, 17, 25, 33, 41, 49, 57\n  // 2, 10, 18, 26, 34, 42, 50, 58\n  // 3, 11, 19, 27, 35, 43, 51, 59\n  // 36, 44, 52, 60\n  for (var i = 1; i <= 3; i++) {\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outR <<= 1;\n    outR |= (inL >> (j + i)) & 1;\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.r28shl = function r28shl(num, shift) {\n  return ((num << shift) & 0xfffffff) | (num >>> (28 - shift));\n};\n\nvar pc2table = [\n  // inL => outL\n  14, 11, 17, 4, 27, 23, 25, 0,\n  13, 22, 7, 18, 5, 9, 16, 24,\n  2, 20, 12, 21, 1, 8, 15, 26,\n\n  // inR => outR\n  15, 4, 25, 19, 9, 1, 26, 16,\n  5, 11, 23, 8, 12, 7, 17, 0,\n  22, 3, 10, 14, 6, 20, 27, 24\n];\n\nexports.pc2 = function pc2(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  var len = pc2table.length >>> 1;\n  for (var i = 0; i < len; i++) {\n    outL <<= 1;\n    outL |= (inL >>> pc2table[i]) & 0x1;\n  }\n  for (var i = len; i < pc2table.length; i++) {\n    outR <<= 1;\n    outR |= (inR >>> pc2table[i]) & 0x1;\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.expand = function expand(r, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  outL = ((r & 1) << 5) | (r >>> 27);\n  for (var i = 23; i >= 15; i -= 4) {\n    outL <<= 6;\n    outL |= (r >>> i) & 0x3f;\n  }\n  for (var i = 11; i >= 3; i -= 4) {\n    outR |= (r >>> i) & 0x3f;\n    outR <<= 6;\n  }\n  outR |= ((r & 0x1f) << 1) | (r >>> 31);\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nvar sTable = [\n  14, 0, 4, 15, 13, 7, 1, 4, 2, 14, 15, 2, 11, 13, 8, 1,\n  3, 10, 10, 6, 6, 12, 12, 11, 5, 9, 9, 5, 0, 3, 7, 8,\n  4, 15, 1, 12, 14, 8, 8, 2, 13, 4, 6, 9, 2, 1, 11, 7,\n  15, 5, 12, 11, 9, 3, 7, 14, 3, 10, 10, 0, 5, 6, 0, 13,\n\n  15, 3, 1, 13, 8, 4, 14, 7, 6, 15, 11, 2, 3, 8, 4, 14,\n  9, 12, 7, 0, 2, 1, 13, 10, 12, 6, 0, 9, 5, 11, 10, 5,\n  0, 13, 14, 8, 7, 10, 11, 1, 10, 3, 4, 15, 13, 4, 1, 2,\n  5, 11, 8, 6, 12, 7, 6, 12, 9, 0, 3, 5, 2, 14, 15, 9,\n\n  10, 13, 0, 7, 9, 0, 14, 9, 6, 3, 3, 4, 15, 6, 5, 10,\n  1, 2, 13, 8, 12, 5, 7, 14, 11, 12, 4, 11, 2, 15, 8, 1,\n  13, 1, 6, 10, 4, 13, 9, 0, 8, 6, 15, 9, 3, 8, 0, 7,\n  11, 4, 1, 15, 2, 14, 12, 3, 5, 11, 10, 5, 14, 2, 7, 12,\n\n  7, 13, 13, 8, 14, 11, 3, 5, 0, 6, 6, 15, 9, 0, 10, 3,\n  1, 4, 2, 7, 8, 2, 5, 12, 11, 1, 12, 10, 4, 14, 15, 9,\n  10, 3, 6, 15, 9, 0, 0, 6, 12, 10, 11, 1, 7, 13, 13, 8,\n  15, 9, 1, 4, 3, 5, 14, 11, 5, 12, 2, 7, 8, 2, 4, 14,\n\n  2, 14, 12, 11, 4, 2, 1, 12, 7, 4, 10, 7, 11, 13, 6, 1,\n  8, 5, 5, 0, 3, 15, 15, 10, 13, 3, 0, 9, 14, 8, 9, 6,\n  4, 11, 2, 8, 1, 12, 11, 7, 10, 1, 13, 14, 7, 2, 8, 13,\n  15, 6, 9, 15, 12, 0, 5, 9, 6, 10, 3, 4, 0, 5, 14, 3,\n\n  12, 10, 1, 15, 10, 4, 15, 2, 9, 7, 2, 12, 6, 9, 8, 5,\n  0, 6, 13, 1, 3, 13, 4, 14, 14, 0, 7, 11, 5, 3, 11, 8,\n  9, 4, 14, 3, 15, 2, 5, 12, 2, 9, 8, 5, 12, 15, 3, 10,\n  7, 11, 0, 14, 4, 1, 10, 7, 1, 6, 13, 0, 11, 8, 6, 13,\n\n  4, 13, 11, 0, 2, 11, 14, 7, 15, 4, 0, 9, 8, 1, 13, 10,\n  3, 14, 12, 3, 9, 5, 7, 12, 5, 2, 10, 15, 6, 8, 1, 6,\n  1, 6, 4, 11, 11, 13, 13, 8, 12, 1, 3, 4, 7, 10, 14, 7,\n  10, 9, 15, 5, 6, 0, 8, 15, 0, 14, 5, 2, 9, 3, 2, 12,\n\n  13, 1, 2, 15, 8, 13, 4, 8, 6, 10, 15, 3, 11, 7, 1, 4,\n  10, 12, 9, 5, 3, 6, 14, 11, 5, 0, 0, 14, 12, 9, 7, 2,\n  7, 2, 11, 1, 4, 14, 1, 7, 9, 4, 12, 10, 14, 8, 2, 13,\n  0, 15, 6, 12, 10, 9, 13, 0, 15, 3, 3, 5, 5, 6, 8, 11\n];\n\nexports.substitute = function substitute(inL, inR) {\n  var out = 0;\n  for (var i = 0; i < 4; i++) {\n    var b = (inL >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  for (var i = 0; i < 4; i++) {\n    var b = (inR >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[4 * 0x40 + i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  return out >>> 0;\n};\n\nvar permuteTable = [\n  16, 25, 12, 11, 3, 20, 4, 15, 31, 17, 9, 6, 27, 14, 1, 22,\n  30, 24, 8, 18, 0, 5, 29, 23, 13, 19, 2, 26, 10, 21, 28, 7\n];\n\nexports.permute = function permute(num) {\n  var out = 0;\n  for (var i = 0; i < permuteTable.length; i++) {\n    out <<= 1;\n    out |= (num >>> permuteTable[i]) & 0x1;\n  }\n  return out >>> 0;\n};\n\nexports.padSplit = function padSplit(num, size, group) {\n  var str = num.toString(2);\n  while (str.length < size)\n    str = '0' + str;\n\n  var out = [];\n  for (var i = 0; i < size; i += group)\n    out.push(str.slice(i, i + group));\n  return out.join(' ');\n};\n","var CipherBase = require('cipher-base')\nvar des = require('des.js')\nvar inherits = require('inherits')\nvar Buffer = require('safe-buffer').Buffer\n\nvar modes = {\n  'des-ede3-cbc': des.CBC.instantiate(des.EDE),\n  'des-ede3': des.EDE,\n  'des-ede-cbc': des.CBC.instantiate(des.EDE),\n  'des-ede': des.EDE,\n  'des-cbc': des.CBC.instantiate(des.DES),\n  'des-ecb': des.DES\n}\nmodes.des = modes['des-cbc']\nmodes.des3 = modes['des-ede3-cbc']\nmodule.exports = DES\ninherits(DES, CipherBase)\nfunction DES (opts) {\n  CipherBase.call(this)\n  var modeName = opts.mode.toLowerCase()\n  var mode = modes[modeName]\n  var type\n  if (opts.decrypt) {\n    type = 'decrypt'\n  } else {\n    type = 'encrypt'\n  }\n  var key = opts.key\n  if (!Buffer.isBuffer(key)) {\n    key = Buffer.from(key)\n  }\n  if (modeName === 'des-ede' || modeName === 'des-ede-cbc') {\n    key = Buffer.concat([key, key.slice(0, 8)])\n  }\n  var iv = opts.iv\n  if (!Buffer.isBuffer(iv)) {\n    iv = Buffer.from(iv)\n  }\n  this._des = mode.create({\n    key: key,\n    iv: iv,\n    type: type\n  })\n}\nDES.prototype._update = function (data) {\n  return Buffer.from(this._des.update(data))\n}\nDES.prototype._final = function () {\n  return Buffer.from(this._des.final())\n}\n","var DES = require('browserify-des')\nvar aes = require('browserify-aes/browser')\nvar aesModes = require('browserify-aes/modes')\nvar desModes = require('browserify-des/modes')\nvar ebtk = require('evp_bytestokey')\n\nfunction createCipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createDecipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createCipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createCipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction createDecipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createDecipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite, decrypt: true })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction getCiphers () {\n  return Object.keys(desModes).concat(aes.getCiphers())\n}\n\nexports.createCipher = exports.Cipher = createCipher\nexports.createCipheriv = exports.Cipheriv = createCipheriv\nexports.createDecipher = exports.Decipher = createDecipher\nexports.createDecipheriv = exports.Decipheriv = createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","var checkParameters = require('./precondition')\nvar defaultEncoding = require('./default-encoding')\nvar sync = require('./sync')\nvar Buffer = require('safe-buffer').Buffer\n\nvar ZERO_BUF\nvar subtle = global.crypto && global.crypto.subtle\nvar toBrowser = {\n  'sha': 'SHA-1',\n  'sha-1': 'SHA-1',\n  'sha1': 'SHA-1',\n  'sha256': 'SHA-256',\n  'sha-256': 'SHA-256',\n  'sha384': 'SHA-384',\n  'sha-384': 'SHA-384',\n  'sha-512': 'SHA-512',\n  'sha512': 'SHA-512'\n}\nvar checks = []\nfunction checkNative (algo) {\n  if (global.process && !global.process.browser) {\n    return Promise.resolve(false)\n  }\n  if (!subtle || !subtle.importKey || !subtle.deriveBits) {\n    return Promise.resolve(false)\n  }\n  if (checks[algo] !== undefined) {\n    return checks[algo]\n  }\n  ZERO_BUF = ZERO_BUF || Buffer.alloc(8)\n  var prom = browserPbkdf2(ZERO_BUF, ZERO_BUF, 10, 128, algo)\n    .then(function () {\n      return true\n    }).catch(function () {\n      return false\n    })\n  checks[algo] = prom\n  return prom\n}\n\nfunction browserPbkdf2 (password, salt, iterations, length, algo) {\n  return subtle.importKey(\n    'raw', password, {name: 'PBKDF2'}, false, ['deriveBits']\n  ).then(function (key) {\n    return subtle.deriveBits({\n      name: 'PBKDF2',\n      salt: salt,\n      iterations: iterations,\n      hash: {\n        name: algo\n      }\n    }, key, length << 3)\n  }).then(function (res) {\n    return Buffer.from(res)\n  })\n}\n\nfunction resolvePromise (promise, callback) {\n  promise.then(function (out) {\n    process.nextTick(function () {\n      callback(null, out)\n    })\n  }, function (e) {\n    process.nextTick(function () {\n      callback(e)\n    })\n  })\n}\nmodule.exports = function (password, salt, iterations, keylen, digest, callback) {\n  if (typeof digest === 'function') {\n    callback = digest\n    digest = undefined\n  }\n\n  digest = digest || 'sha1'\n  var algo = toBrowser[digest.toLowerCase()]\n\n  if (!algo || typeof global.Promise !== 'function') {\n    return process.nextTick(function () {\n      var out\n      try {\n        out = sync(password, salt, iterations, keylen, digest)\n      } catch (e) {\n        return callback(e)\n      }\n      callback(null, out)\n    })\n  }\n\n  checkParameters(password, salt, iterations, keylen)\n  if (typeof callback !== 'function') throw new Error('No callback provided to pbkdf2')\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding)\n  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding)\n\n  resolvePromise(checkNative(algo).then(function (resp) {\n    if (resp) return browserPbkdf2(password, salt, iterations, keylen, algo)\n\n    return sync(password, salt, iterations, keylen, digest)\n  }), callback)\n}\n","module.exports = require('./browser/algorithms.json')\n","'use strict'\nvar inherits = require('inherits')\nvar Buffer = require('safe-buffer').Buffer\n\nvar Base = require('cipher-base')\n\nvar ZEROS = Buffer.alloc(128)\nvar blocksize = 64\n\nfunction Hmac (alg, key) {\n  Base.call(this, 'digest')\n  if (typeof key === 'string') {\n    key = Buffer.from(key)\n  }\n\n  this._alg = alg\n  this._key = key\n\n  if (key.length > blocksize) {\n    key = alg(key)\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)\n  var opad = this._opad = Buffer.allocUnsafe(blocksize)\n\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n\n  this._hash = [ipad]\n}\n\ninherits(Hmac, Base)\n\nHmac.prototype._update = function (data) {\n  this._hash.push(data)\n}\n\nHmac.prototype._final = function () {\n  var h = this._alg(Buffer.concat(this._hash))\n  return this._alg(Buffer.concat([this._opad, h]))\n}\nmodule.exports = Hmac\n","var inherits = require('inherits')\nvar SHA512 = require('./sha512')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar W = new Array(160)\n\nfunction Sha384 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha384, SHA512)\n\nSha384.prototype.init = function () {\n  this._ah = 0xcbbb9d5d\n  this._bh = 0x629a292a\n  this._ch = 0x9159015a\n  this._dh = 0x152fecd8\n  this._eh = 0x67332667\n  this._fh = 0x8eb44a87\n  this._gh = 0xdb0c2e0d\n  this._hh = 0x47b5481d\n\n  this._al = 0xc1059ed8\n  this._bl = 0x367cd507\n  this._cl = 0x3070dd17\n  this._dl = 0xf70e5939\n  this._el = 0xffc00b31\n  this._fl = 0x68581511\n  this._gl = 0x64f98fa7\n  this._hl = 0xbefa4fa4\n\n  return this\n}\n\nSha384.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(48)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n\n  return H\n}\n\nmodule.exports = Sha384\n","/**\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined\n * in FIPS 180-2\n * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n *\n */\n\nvar inherits = require('inherits')\nvar Sha256 = require('./sha256')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar W = new Array(64)\n\nfunction Sha224 () {\n  this.init()\n\n  this._w = W // new Array(64)\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha224, Sha256)\n\nSha224.prototype.init = function () {\n  this._a = 0xc1059ed8\n  this._b = 0x367cd507\n  this._c = 0x3070dd17\n  this._d = 0xf70e5939\n  this._e = 0xffc00b31\n  this._f = 0x68581511\n  this._g = 0x64f98fa7\n  this._h = 0xbefa4fa4\n\n  return this\n}\n\nSha224.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(28)\n\n  H.writeInt32BE(this._a, 0)\n  H.writeInt32BE(this._b, 4)\n  H.writeInt32BE(this._c, 8)\n  H.writeInt32BE(this._d, 12)\n  H.writeInt32BE(this._e, 16)\n  H.writeInt32BE(this._f, 20)\n  H.writeInt32BE(this._g, 24)\n\n  return H\n}\n\nmodule.exports = Sha224\n","/*\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-1, as defined\n * in FIPS PUB 180-1\n * Version 2.1a Copyright Paul Johnston 2000 - 2002.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n * Distributed under the BSD License\n * See http://pajhome.org.uk/crypt/md5 for details.\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0\n]\n\nvar W = new Array(80)\n\nfunction Sha1 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha1, Hash)\n\nSha1.prototype.init = function () {\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n\n  return this\n}\n\nfunction rotl1 (num) {\n  return (num << 1) | (num >>> 31)\n}\n\nfunction rotl5 (num) {\n  return (num << 5) | (num >>> 27)\n}\n\nfunction rotl30 (num) {\n  return (num << 30) | (num >>> 2)\n}\n\nfunction ft (s, b, c, d) {\n  if (s === 0) return (b & c) | ((~b) & d)\n  if (s === 2) return (b & c) | (b & d) | (c & d)\n  return b ^ c ^ d\n}\n\nSha1.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 80; ++i) W[i] = rotl1(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16])\n\n  for (var j = 0; j < 80; ++j) {\n    var s = ~~(j / 20)\n    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0\n\n    e = d\n    d = c\n    c = rotl30(b)\n    b = a\n    a = t\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n}\n\nSha1.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(20)\n\n  H.writeInt32BE(this._a | 0, 0)\n  H.writeInt32BE(this._b | 0, 4)\n  H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = Sha1\n","/*\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-0, as defined\n * in FIPS PUB 180-1\n * This source code is derived from sha1.js of the same repository.\n * The difference between SHA-0 and SHA-1 is just a bitwise rotate left\n * operation was added.\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0\n]\n\nvar W = new Array(80)\n\nfunction Sha () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha, Hash)\n\nSha.prototype.init = function () {\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n\n  return this\n}\n\nfunction rotl5 (num) {\n  return (num << 5) | (num >>> 27)\n}\n\nfunction rotl30 (num) {\n  return (num << 30) | (num >>> 2)\n}\n\nfunction ft (s, b, c, d) {\n  if (s === 0) return (b & c) | ((~b) & d)\n  if (s === 2) return (b & c) | (b & d) | (c & d)\n  return b ^ c ^ d\n}\n\nSha.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 80; ++i) W[i] = W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16]\n\n  for (var j = 0; j < 80; ++j) {\n    var s = ~~(j / 20)\n    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0\n\n    e = d\n    d = c\n    c = rotl30(b)\n    b = a\n    a = t\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n}\n\nSha.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(20)\n\n  H.writeInt32BE(this._a | 0, 0)\n  H.writeInt32BE(this._b | 0, 4)\n  H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = Sha\n","module.exports = require('./readable').PassThrough\n","module.exports = require('./readable').Transform\n","module.exports = require('./lib/_stream_duplex.js');\n","module.exports = require('./lib/_stream_writable.js');\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a passthrough stream.\n// basically just the most minimal sort of Transform stream.\n// Every written chunk gets output as-is.\n\n'use strict';\n\nmodule.exports = PassThrough;\n\nvar Transform = require('./_stream_transform');\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nutil.inherits(PassThrough, Transform);\n\nfunction PassThrough(options) {\n  if (!(this instanceof PassThrough)) return new PassThrough(options);\n\n  Transform.call(this, options);\n}\n\nPassThrough.prototype._transform = function (chunk, encoding, cb) {\n  cb(null, chunk);\n};","\n/**\n * Module exports.\n */\n\nmodule.exports = deprecate;\n\n/**\n * Mark that a method should not be used.\n * Returns a modified function which warns once by default.\n *\n * If `localStorage.noDeprecation = true` is set, then it is a no-op.\n *\n * If `localStorage.throwDeprecation = true` is set, then deprecated functions\n * will throw an Error when invoked.\n *\n * If `localStorage.traceDeprecation = true` is set, then deprecated functions\n * will invoke `console.trace()` instead of `console.error()`.\n *\n * @param {Function} fn - the function to deprecate\n * @param {String} msg - the string to print to the console when `fn` is invoked\n * @returns {Function} a new \"deprecated\" version of `fn`\n * @api public\n */\n\nfunction deprecate (fn, msg) {\n  if (config('noDeprecation')) {\n    return fn;\n  }\n\n  var warned = false;\n  function deprecated() {\n    if (!warned) {\n      if (config('throwDeprecation')) {\n        throw new Error(msg);\n      } else if (config('traceDeprecation')) {\n        console.trace(msg);\n      } else {\n        console.warn(msg);\n      }\n      warned = true;\n    }\n    return fn.apply(this, arguments);\n  }\n\n  return deprecated;\n}\n\n/**\n * Checks `localStorage` for boolean values for the given `name`.\n *\n * @param {String} name\n * @returns {Boolean}\n * @api private\n */\n\nfunction config (name) {\n  // accessing global.localStorage can trigger a DOMException in sandboxed iframes\n  try {\n    if (!global.localStorage) return false;\n  } catch (_) {\n    return false;\n  }\n  var val = global.localStorage[name];\n  if (null == val) return false;\n  return String(val).toLowerCase() === 'true';\n}\n","'use strict';\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nvar Buffer = require('safe-buffer').Buffer;\nvar util = require('util');\n\nfunction copyBuffer(src, target, offset) {\n  src.copy(target, offset);\n}\n\nmodule.exports = function () {\n  function BufferList() {\n    _classCallCheck(this, BufferList);\n\n    this.head = null;\n    this.tail = null;\n    this.length = 0;\n  }\n\n  BufferList.prototype.push = function push(v) {\n    var entry = { data: v, next: null };\n    if (this.length > 0) this.tail.next = entry;else this.head = entry;\n    this.tail = entry;\n    ++this.length;\n  };\n\n  BufferList.prototype.unshift = function unshift(v) {\n    var entry = { data: v, next: this.head };\n    if (this.length === 0) this.tail = entry;\n    this.head = entry;\n    ++this.length;\n  };\n\n  BufferList.prototype.shift = function shift() {\n    if (this.length === 0) return;\n    var ret = this.head.data;\n    if (this.length === 1) this.head = this.tail = null;else this.head = this.head.next;\n    --this.length;\n    return ret;\n  };\n\n  BufferList.prototype.clear = function clear() {\n    this.head = this.tail = null;\n    this.length = 0;\n  };\n\n  BufferList.prototype.join = function join(s) {\n    if (this.length === 0) return '';\n    var p = this.head;\n    var ret = '' + p.data;\n    while (p = p.next) {\n      ret += s + p.data;\n    }return ret;\n  };\n\n  BufferList.prototype.concat = function concat(n) {\n    if (this.length === 0) return Buffer.alloc(0);\n    if (this.length === 1) return this.head.data;\n    var ret = Buffer.allocUnsafe(n >>> 0);\n    var p = this.head;\n    var i = 0;\n    while (p) {\n      copyBuffer(p.data, ret, i);\n      i += p.data.length;\n      p = p.next;\n    }\n    return ret;\n  };\n\n  return BufferList;\n}();\n\nif (util && util.inspect && util.inspect.custom) {\n  module.exports.prototype[util.inspect.custom] = function () {\n    var obj = util.inspect({ length: this.length });\n    return this.constructor.name + ' ' + obj;\n  };\n}","exports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var nBits = -7\n  var i = isLE ? (nBytes - 1) : 0\n  var d = isLE ? -1 : 1\n  var s = buffer[offset + i]\n\n  i += d\n\n  e = s & ((1 << (-nBits)) - 1)\n  s >>= (-nBits)\n  nBits += eLen\n  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  m = e & ((1 << (-nBits)) - 1)\n  e >>= (-nBits)\n  nBits += mLen\n  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  if (e === 0) {\n    e = 1 - eBias\n  } else if (e === eMax) {\n    return m ? NaN : ((s ? -1 : 1) * Infinity)\n  } else {\n    m = m + Math.pow(2, mLen)\n    e = e - eBias\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n  var i = isLE ? 0 : (nBytes - 1)\n  var d = isLE ? 1 : -1\n  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n  value = Math.abs(value)\n\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0\n    e = eMax\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2)\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--\n      c *= 2\n    }\n    if (e + eBias >= 1) {\n      value += rt / c\n    } else {\n      value += rt * Math.pow(2, 1 - eBias)\n    }\n    if (value * c >= 2) {\n      e++\n      c /= 2\n    }\n\n    if (e + eBias >= eMax) {\n      m = 0\n      e = eMax\n    } else if (e + eBias >= 1) {\n      m = ((value * c) - 1) * Math.pow(2, mLen)\n      e = e + eBias\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n      e = 0\n    }\n  }\n\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n  e = (e << mLen) | m\n  eLen += mLen\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n  buffer[offset + i - d] |= s * 128\n}\n","'use strict'\n\nexports.byteLength = byteLength\nexports.toByteArray = toByteArray\nexports.fromByteArray = fromByteArray\n\nvar lookup = []\nvar revLookup = []\nvar Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array\n\nvar code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'\nfor (var i = 0, len = code.length; i < len; ++i) {\n  lookup[i] = code[i]\n  revLookup[code.charCodeAt(i)] = i\n}\n\n// Support decoding URL-safe base64 strings, as Node.js does.\n// See: https://en.wikipedia.org/wiki/Base64#URL_applications\nrevLookup['-'.charCodeAt(0)] = 62\nrevLookup['_'.charCodeAt(0)] = 63\n\nfunction getLens (b64) {\n  var len = b64.length\n\n  if (len % 4 > 0) {\n    throw new Error('Invalid string. Length must be a multiple of 4')\n  }\n\n  // Trim off extra bytes after placeholder bytes are found\n  // See: https://github.com/beatgammit/base64-js/issues/42\n  var validLen = b64.indexOf('=')\n  if (validLen === -1) validLen = len\n\n  var placeHoldersLen = validLen === len\n    ? 0\n    : 4 - (validLen % 4)\n\n  return [validLen, placeHoldersLen]\n}\n\n// base64 is 4/3 + up to two characters of the original data\nfunction byteLength (b64) {\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction _byteLength (b64, validLen, placeHoldersLen) {\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction toByteArray (b64) {\n  var tmp\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n\n  var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))\n\n  var curByte = 0\n\n  // if there are placeholders, only get up to the last complete 4 chars\n  var len = placeHoldersLen > 0\n    ? validLen - 4\n    : validLen\n\n  for (var i = 0; i < len; i += 4) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 18) |\n      (revLookup[b64.charCodeAt(i + 1)] << 12) |\n      (revLookup[b64.charCodeAt(i + 2)] << 6) |\n      revLookup[b64.charCodeAt(i + 3)]\n    arr[curByte++] = (tmp >> 16) & 0xFF\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 2) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 2) |\n      (revLookup[b64.charCodeAt(i + 1)] >> 4)\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 1) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 10) |\n      (revLookup[b64.charCodeAt(i + 1)] << 4) |\n      (revLookup[b64.charCodeAt(i + 2)] >> 2)\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  return arr\n}\n\nfunction tripletToBase64 (num) {\n  return lookup[num >> 18 & 0x3F] +\n    lookup[num >> 12 & 0x3F] +\n    lookup[num >> 6 & 0x3F] +\n    lookup[num & 0x3F]\n}\n\nfunction encodeChunk (uint8, start, end) {\n  var tmp\n  var output = []\n  for (var i = start; i < end; i += 3) {\n    tmp =\n      ((uint8[i] << 16) & 0xFF0000) +\n      ((uint8[i + 1] << 8) & 0xFF00) +\n      (uint8[i + 2] & 0xFF)\n    output.push(tripletToBase64(tmp))\n  }\n  return output.join('')\n}\n\nfunction fromByteArray (uint8) {\n  var tmp\n  var len = uint8.length\n  var extraBytes = len % 3 // if we have 1 byte left, pad 2 bytes\n  var parts = []\n  var maxChunkLength = 16383 // must be multiple of 3\n\n  // go through the array every three bytes, we'll deal with trailing stuff later\n  for (var i = 0, len2 = len - extraBytes; i < len2; i += maxChunkLength) {\n    parts.push(encodeChunk(\n      uint8, i, (i + maxChunkLength) > len2 ? len2 : (i + maxChunkLength)\n    ))\n  }\n\n  // pad the end with zeros, but make sure to not forget the extra bytes\n  if (extraBytes === 1) {\n    tmp = uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 2] +\n      lookup[(tmp << 4) & 0x3F] +\n      '=='\n    )\n  } else if (extraBytes === 2) {\n    tmp = (uint8[len - 2] << 8) + uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 10] +\n      lookup[(tmp >> 4) & 0x3F] +\n      lookup[(tmp << 2) & 0x3F] +\n      '='\n    )\n  }\n\n  return parts.join('')\n}\n","(function (global, undefined) {\n    \"use strict\";\n\n    if (global.setImmediate) {\n        return;\n    }\n\n    var nextHandle = 1; // Spec says greater than zero\n    var tasksByHandle = {};\n    var currentlyRunningATask = false;\n    var doc = global.document;\n    var registerImmediate;\n\n    function setImmediate(callback) {\n      // Callback can either be a function or a string\n      if (typeof callback !== \"function\") {\n        callback = new Function(\"\" + callback);\n      }\n      // Copy function arguments\n      var args = new Array(arguments.length - 1);\n      for (var i = 0; i < args.length; i++) {\n          args[i] = arguments[i + 1];\n      }\n      // Store and register the task\n      var task = { callback: callback, args: args };\n      tasksByHandle[nextHandle] = task;\n      registerImmediate(nextHandle);\n      return nextHandle++;\n    }\n\n    function clearImmediate(handle) {\n        delete tasksByHandle[handle];\n    }\n\n    function run(task) {\n        var callback = task.callback;\n        var args = task.args;\n        switch (args.length) {\n        case 0:\n            callback();\n            break;\n        case 1:\n            callback(args[0]);\n            break;\n        case 2:\n            callback(args[0], args[1]);\n            break;\n        case 3:\n            callback(args[0], args[1], args[2]);\n            break;\n        default:\n            callback.apply(undefined, args);\n            break;\n        }\n    }\n\n    function runIfPresent(handle) {\n        // From the spec: \"Wait until any invocations of this algorithm started before this one have completed.\"\n        // So if we're currently running a task, we'll need to delay this invocation.\n        if (currentlyRunningATask) {\n            // Delay by doing a setTimeout. setImmediate was tried instead, but in Firefox 7 it generated a\n            // \"too much recursion\" error.\n            setTimeout(runIfPresent, 0, handle);\n        } else {\n            var task = tasksByHandle[handle];\n            if (task) {\n                currentlyRunningATask = true;\n                try {\n                    run(task);\n                } finally {\n                    clearImmediate(handle);\n                    currentlyRunningATask = false;\n                }\n            }\n        }\n    }\n\n    function installNextTickImplementation() {\n        registerImmediate = function(handle) {\n            process.nextTick(function () { runIfPresent(handle); });\n        };\n    }\n\n    function canUsePostMessage() {\n        // The test against `importScripts` prevents this implementation from being installed inside a web worker,\n        // where `global.postMessage` means something completely different and can't be used for this purpose.\n        if (global.postMessage && !global.importScripts) {\n            var postMessageIsAsynchronous = true;\n            var oldOnMessage = global.onmessage;\n            global.onmessage = function() {\n                postMessageIsAsynchronous = false;\n            };\n            global.postMessage(\"\", \"*\");\n            global.onmessage = oldOnMessage;\n            return postMessageIsAsynchronous;\n        }\n    }\n\n    function installPostMessageImplementation() {\n        // Installs an event handler on `global` for the `message` event: see\n        // * https://developer.mozilla.org/en/DOM/window.postMessage\n        // * http://www.whatwg.org/specs/web-apps/current-work/multipage/comms.html#crossDocumentMessages\n\n        var messagePrefix = \"setImmediate$\" + Math.random() + \"$\";\n        var onGlobalMessage = function(event) {\n            if (event.source === global &&\n                typeof event.data === \"string\" &&\n                event.data.indexOf(messagePrefix) === 0) {\n                runIfPresent(+event.data.slice(messagePrefix.length));\n            }\n        };\n\n        if (global.addEventListener) {\n            global.addEventListener(\"message\", onGlobalMessage, false);\n        } else {\n            global.attachEvent(\"onmessage\", onGlobalMessage);\n        }\n\n        registerImmediate = function(handle) {\n            global.postMessage(messagePrefix + handle, \"*\");\n        };\n    }\n\n    function installMessageChannelImplementation() {\n        var channel = new MessageChannel();\n        channel.port1.onmessage = function(event) {\n            var handle = event.data;\n            runIfPresent(handle);\n        };\n\n        registerImmediate = function(handle) {\n            channel.port2.postMessage(handle);\n        };\n    }\n\n    function installReadyStateChangeImplementation() {\n        var html = doc.documentElement;\n        registerImmediate = function(handle) {\n            // Create a <script> element; its readystatechange event will be fired asynchronously once it is inserted\n            // into the document. Do so, thus queuing up the task. Remember to clean up once it's been called.\n            var script = doc.createElement(\"script\");\n            script.onreadystatechange = function () {\n                runIfPresent(handle);\n                script.onreadystatechange = null;\n                html.removeChild(script);\n                script = null;\n            };\n            html.appendChild(script);\n        };\n    }\n\n    function installSetTimeoutImplementation() {\n        registerImmediate = function(handle) {\n            setTimeout(runIfPresent, 0, handle);\n        };\n    }\n\n    // If supported, we should attach to the prototype of global, since that is where setTimeout et al. live.\n    var attachTo = Object.getPrototypeOf && Object.getPrototypeOf(global);\n    attachTo = attachTo && attachTo.setTimeout ? attachTo : global;\n\n    // Don't get fooled by e.g. browserify environments.\n    if ({}.toString.call(global.process) === \"[object process]\") {\n        // For Node.js before 0.9\n        installNextTickImplementation();\n\n    } else if (canUsePostMessage()) {\n        // For non-IE10 modern browsers\n        installPostMessageImplementation();\n\n    } else if (global.MessageChannel) {\n        // For web workers, where supported\n        installMessageChannelImplementation();\n\n    } else if (doc && \"onreadystatechange\" in doc.createElement(\"script\")) {\n        // For IE 6–8\n        installReadyStateChangeImplementation();\n\n    } else {\n        // For older browsers\n        installSetTimeoutImplementation();\n    }\n\n    attachTo.setImmediate = setImmediate;\n    attachTo.clearImmediate = clearImmediate;\n}(typeof self === \"undefined\" ? typeof global === \"undefined\" ? this : global : self));\n","var toInteger = require('./_to-integer');\nvar max = Math.max;\nvar min = Math.min;\nmodule.exports = function (index, length) {\n  index = toInteger(index);\n  return index < 0 ? max(index + length, 0) : min(index, length);\n};\n","// false -> Array#indexOf\n// true  -> Array#includes\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nmodule.exports = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIObject($this);\n    var length = toLength(O.length);\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare\n    if (IS_INCLUDES && el != el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare\n      if (value != value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) if (IS_INCLUDES || index in O) {\n      if (O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n","'use strict';\n// 19.1.2.1 Object.assign(target, source, ...)\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar $assign = Object.assign;\n\n// should work with symbols and should have deterministic property order (V8 bug)\nmodule.exports = !$assign || require('./_fails')(function () {\n  var A = {};\n  var B = {};\n  // eslint-disable-next-line no-undef\n  var S = Symbol();\n  var K = 'abcdefghijklmnopqrst';\n  A[S] = 7;\n  K.split('').forEach(function (k) { B[k] = k; });\n  return $assign({}, A)[S] != 7 || Object.keys($assign({}, B)).join('') != K;\n}) ? function assign(target, source) { // eslint-disable-line no-unused-vars\n  var T = toObject(target);\n  var aLen = arguments.length;\n  var index = 1;\n  var getSymbols = gOPS.f;\n  var isEnum = pIE.f;\n  while (aLen > index) {\n    var S = IObject(arguments[index++]);\n    var keys = getSymbols ? getKeys(S).concat(getSymbols(S)) : getKeys(S);\n    var length = keys.length;\n    var j = 0;\n    var key;\n    while (length > j) if (isEnum.call(S, key = keys[j++])) T[key] = S[key];\n  } return T;\n} : $assign;\n","// 19.1.3.1 Object.assign(target, source)\nvar $export = require('./_export');\n\n$export($export.S + $export.F, 'Object', { assign: require('./_object-assign') });\n","require('../../modules/es6.object.assign');\nmodule.exports = require('../../modules/_core').Object.assign;\n","module.exports = { \"default\": require(\"core-js/library/fn/object/assign\"), __esModule: true };","\"use strict\";\n\nexports.__esModule = true;\n\nvar _assign = require(\"../core-js/object/assign\");\n\nvar _assign2 = _interopRequireDefault(_assign);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = _assign2.default || function (target) {\n  for (var i = 1; i < arguments.length; i++) {\n    var source = arguments[i];\n\n    for (var key in source) {\n      if (Object.prototype.hasOwnProperty.call(source, key)) {\n        target[key] = source[key];\n      }\n    }\n  }\n\n  return target;\n};","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\nimport pitchDetection from './PitchDetection/';\nimport imageClassifier from './ImageClassifier/';\nimport KNNClassifier from './KNNClassifier/';\nimport featureExtractor from './FeatureExtractor/';\nimport word2vec from './Word2vec/';\nimport YOLO from './YOLO';\nimport poseNet from './PoseNet';\nimport * as imageUtils from './utils/imageUtilities';\nimport styleTransfer from './StyleTransfer/';\nimport charRNN from './CharRNN/';\nimport pix2pix from './Pix2pix/';\nimport SketchRNN from './SketchRNN';\nimport { version } from '../package.json';\n\nmodule.exports = {\n  imageClassifier,\n  KNNClassifier,\n  featureExtractor,\n  pitchDetection,\n  YOLO,\n  word2vec,\n  styleTransfer,\n  poseNet,\n  charRNN,\n  pix2pix,\n  SketchRNN,\n  ...imageUtils,\n  tf,\n  version,\n};\n","module.exports = function (regExp, replace) {\n  var replacer = replace === Object(replace) ? function (part) {\n    return replace[part];\n  } : replace;\n  return function (it) {\n    return String(it).replace(regExp, replacer);\n  };\n};\n","// https://github.com/benjamingr/RexExp.escape\nvar $export = require('./_export');\nvar $re = require('./_replacer')(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\n$export($export.S, 'RegExp', { escape: function escape(it) { return $re(it); } });\n","require('../../modules/core.regexp.escape');\nmodule.exports = require('../../modules/_core').RegExp.escape;\n","/**\n * Copyright (c) 2014, Facebook, Inc.\n * All rights reserved.\n *\n * This source code is licensed under the BSD-style license found in the\n * https://raw.github.com/facebook/regenerator/master/LICENSE file. An\n * additional grant of patent rights can be found in the PATENTS file in\n * the same directory.\n */\n\n!(function(global) {\n  \"use strict\";\n\n  var Op = Object.prototype;\n  var hasOwn = Op.hasOwnProperty;\n  var undefined; // More compressible than void 0.\n  var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n  var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n  var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n  var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n  var inModule = typeof module === \"object\";\n  var runtime = global.regeneratorRuntime;\n  if (runtime) {\n    if (inModule) {\n      // If regeneratorRuntime is defined globally and we're in a module,\n      // make the exports object identical to regeneratorRuntime.\n      module.exports = runtime;\n    }\n    // Don't bother evaluating the rest of this file if the runtime was\n    // already defined globally.\n    return;\n  }\n\n  // Define the runtime globally (as expected by generated code) as either\n  // module.exports (if we're in a module) or a new, empty object.\n  runtime = global.regeneratorRuntime = inModule ? module.exports : {};\n\n  function wrap(innerFn, outerFn, self, tryLocsList) {\n    // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n    var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n    var generator = Object.create(protoGenerator.prototype);\n    var context = new Context(tryLocsList || []);\n\n    // The ._invoke method unifies the implementations of the .next,\n    // .throw, and .return methods.\n    generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n    return generator;\n  }\n  runtime.wrap = wrap;\n\n  // Try/catch helper to minimize deoptimizations. Returns a completion\n  // record like context.tryEntries[i].completion. This interface could\n  // have been (and was previously) designed to take a closure to be\n  // invoked without arguments, but in all the cases we care about we\n  // already have an existing method we want to call, so there's no need\n  // to create a new function object. We can even get away with assuming\n  // the method takes exactly one argument, since that happens to be true\n  // in every case, so we don't have to touch the arguments object. The\n  // only additional allocation required is the completion record, which\n  // has a stable shape and so hopefully should be cheap to allocate.\n  function tryCatch(fn, obj, arg) {\n    try {\n      return { type: \"normal\", arg: fn.call(obj, arg) };\n    } catch (err) {\n      return { type: \"throw\", arg: err };\n    }\n  }\n\n  var GenStateSuspendedStart = \"suspendedStart\";\n  var GenStateSuspendedYield = \"suspendedYield\";\n  var GenStateExecuting = \"executing\";\n  var GenStateCompleted = \"completed\";\n\n  // Returning this object from the innerFn has the same effect as\n  // breaking out of the dispatch switch statement.\n  var ContinueSentinel = {};\n\n  // Dummy constructor functions that we use as the .constructor and\n  // .constructor.prototype properties for functions that return Generator\n  // objects. For full spec compliance, you may wish to configure your\n  // minifier not to mangle the names of these two functions.\n  function Generator() {}\n  function GeneratorFunction() {}\n  function GeneratorFunctionPrototype() {}\n\n  // This is a polyfill for %IteratorPrototype% for environments that\n  // don't natively support it.\n  var IteratorPrototype = {};\n  IteratorPrototype[iteratorSymbol] = function () {\n    return this;\n  };\n\n  var getProto = Object.getPrototypeOf;\n  var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n  if (NativeIteratorPrototype &&\n      NativeIteratorPrototype !== Op &&\n      hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n    // This environment has a native %IteratorPrototype%; use it instead\n    // of the polyfill.\n    IteratorPrototype = NativeIteratorPrototype;\n  }\n\n  var Gp = GeneratorFunctionPrototype.prototype =\n    Generator.prototype = Object.create(IteratorPrototype);\n  GeneratorFunction.prototype = Gp.constructor = GeneratorFunctionPrototype;\n  GeneratorFunctionPrototype.constructor = GeneratorFunction;\n  GeneratorFunctionPrototype[toStringTagSymbol] =\n    GeneratorFunction.displayName = \"GeneratorFunction\";\n\n  // Helper for defining the .next, .throw, and .return methods of the\n  // Iterator interface in terms of a single ._invoke method.\n  function defineIteratorMethods(prototype) {\n    [\"next\", \"throw\", \"return\"].forEach(function(method) {\n      prototype[method] = function(arg) {\n        return this._invoke(method, arg);\n      };\n    });\n  }\n\n  runtime.isGeneratorFunction = function(genFun) {\n    var ctor = typeof genFun === \"function\" && genFun.constructor;\n    return ctor\n      ? ctor === GeneratorFunction ||\n        // For the native GeneratorFunction constructor, the best we can\n        // do is to check its .name property.\n        (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n      : false;\n  };\n\n  runtime.mark = function(genFun) {\n    if (Object.setPrototypeOf) {\n      Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n    } else {\n      genFun.__proto__ = GeneratorFunctionPrototype;\n      if (!(toStringTagSymbol in genFun)) {\n        genFun[toStringTagSymbol] = \"GeneratorFunction\";\n      }\n    }\n    genFun.prototype = Object.create(Gp);\n    return genFun;\n  };\n\n  // Within the body of any async function, `await x` is transformed to\n  // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n  // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n  // meant to be awaited.\n  runtime.awrap = function(arg) {\n    return { __await: arg };\n  };\n\n  function AsyncIterator(generator) {\n    function invoke(method, arg, resolve, reject) {\n      var record = tryCatch(generator[method], generator, arg);\n      if (record.type === \"throw\") {\n        reject(record.arg);\n      } else {\n        var result = record.arg;\n        var value = result.value;\n        if (value &&\n            typeof value === \"object\" &&\n            hasOwn.call(value, \"__await\")) {\n          return Promise.resolve(value.__await).then(function(value) {\n            invoke(\"next\", value, resolve, reject);\n          }, function(err) {\n            invoke(\"throw\", err, resolve, reject);\n          });\n        }\n\n        return Promise.resolve(value).then(function(unwrapped) {\n          // When a yielded Promise is resolved, its final value becomes\n          // the .value of the Promise<{value,done}> result for the\n          // current iteration. If the Promise is rejected, however, the\n          // result for this iteration will be rejected with the same\n          // reason. Note that rejections of yielded Promises are not\n          // thrown back into the generator function, as is the case\n          // when an awaited Promise is rejected. This difference in\n          // behavior between yield and await is important, because it\n          // allows the consumer to decide what to do with the yielded\n          // rejection (swallow it and continue, manually .throw it back\n          // into the generator, abandon iteration, whatever). With\n          // await, by contrast, there is no opportunity to examine the\n          // rejection reason outside the generator function, so the\n          // only option is to throw it from the await expression, and\n          // let the generator function handle the exception.\n          result.value = unwrapped;\n          resolve(result);\n        }, reject);\n      }\n    }\n\n    if (typeof global.process === \"object\" && global.process.domain) {\n      invoke = global.process.domain.bind(invoke);\n    }\n\n    var previousPromise;\n\n    function enqueue(method, arg) {\n      function callInvokeWithMethodAndArg() {\n        return new Promise(function(resolve, reject) {\n          invoke(method, arg, resolve, reject);\n        });\n      }\n\n      return previousPromise =\n        // If enqueue has been called before, then we want to wait until\n        // all previous Promises have been resolved before calling invoke,\n        // so that results are always delivered in the correct order. If\n        // enqueue has not been called before, then it is important to\n        // call invoke immediately, without waiting on a callback to fire,\n        // so that the async generator function has the opportunity to do\n        // any necessary setup in a predictable way. This predictability\n        // is why the Promise constructor synchronously invokes its\n        // executor callback, and why async functions synchronously\n        // execute code before the first await. Since we implement simple\n        // async functions in terms of async generators, it is especially\n        // important to get this right, even though it requires care.\n        previousPromise ? previousPromise.then(\n          callInvokeWithMethodAndArg,\n          // Avoid propagating failures to Promises returned by later\n          // invocations of the iterator.\n          callInvokeWithMethodAndArg\n        ) : callInvokeWithMethodAndArg();\n    }\n\n    // Define the unified helper method that is used to implement .next,\n    // .throw, and .return (see defineIteratorMethods).\n    this._invoke = enqueue;\n  }\n\n  defineIteratorMethods(AsyncIterator.prototype);\n  AsyncIterator.prototype[asyncIteratorSymbol] = function () {\n    return this;\n  };\n  runtime.AsyncIterator = AsyncIterator;\n\n  // Note that simple async functions are implemented on top of\n  // AsyncIterator objects; they just return a Promise for the value of\n  // the final result produced by the iterator.\n  runtime.async = function(innerFn, outerFn, self, tryLocsList) {\n    var iter = new AsyncIterator(\n      wrap(innerFn, outerFn, self, tryLocsList)\n    );\n\n    return runtime.isGeneratorFunction(outerFn)\n      ? iter // If outerFn is a generator, return the full iterator.\n      : iter.next().then(function(result) {\n          return result.done ? result.value : iter.next();\n        });\n  };\n\n  function makeInvokeMethod(innerFn, self, context) {\n    var state = GenStateSuspendedStart;\n\n    return function invoke(method, arg) {\n      if (state === GenStateExecuting) {\n        throw new Error(\"Generator is already running\");\n      }\n\n      if (state === GenStateCompleted) {\n        if (method === \"throw\") {\n          throw arg;\n        }\n\n        // Be forgiving, per 25.3.3.3.3 of the spec:\n        // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n        return doneResult();\n      }\n\n      context.method = method;\n      context.arg = arg;\n\n      while (true) {\n        var delegate = context.delegate;\n        if (delegate) {\n          var delegateResult = maybeInvokeDelegate(delegate, context);\n          if (delegateResult) {\n            if (delegateResult === ContinueSentinel) continue;\n            return delegateResult;\n          }\n        }\n\n        if (context.method === \"next\") {\n          // Setting context._sent for legacy support of Babel's\n          // function.sent implementation.\n          context.sent = context._sent = context.arg;\n\n        } else if (context.method === \"throw\") {\n          if (state === GenStateSuspendedStart) {\n            state = GenStateCompleted;\n            throw context.arg;\n          }\n\n          context.dispatchException(context.arg);\n\n        } else if (context.method === \"return\") {\n          context.abrupt(\"return\", context.arg);\n        }\n\n        state = GenStateExecuting;\n\n        var record = tryCatch(innerFn, self, context);\n        if (record.type === \"normal\") {\n          // If an exception is thrown from innerFn, we leave state ===\n          // GenStateExecuting and loop back for another invocation.\n          state = context.done\n            ? GenStateCompleted\n            : GenStateSuspendedYield;\n\n          if (record.arg === ContinueSentinel) {\n            continue;\n          }\n\n          return {\n            value: record.arg,\n            done: context.done\n          };\n\n        } else if (record.type === \"throw\") {\n          state = GenStateCompleted;\n          // Dispatch the exception by looping back around to the\n          // context.dispatchException(context.arg) call above.\n          context.method = \"throw\";\n          context.arg = record.arg;\n        }\n      }\n    };\n  }\n\n  // Call delegate.iterator[context.method](context.arg) and handle the\n  // result, either by returning a { value, done } result from the\n  // delegate iterator, or by modifying context.method and context.arg,\n  // setting context.delegate to null, and returning the ContinueSentinel.\n  function maybeInvokeDelegate(delegate, context) {\n    var method = delegate.iterator[context.method];\n    if (method === undefined) {\n      // A .throw or .return when the delegate iterator has no .throw\n      // method always terminates the yield* loop.\n      context.delegate = null;\n\n      if (context.method === \"throw\") {\n        if (delegate.iterator.return) {\n          // If the delegate iterator has a return method, give it a\n          // chance to clean up.\n          context.method = \"return\";\n          context.arg = undefined;\n          maybeInvokeDelegate(delegate, context);\n\n          if (context.method === \"throw\") {\n            // If maybeInvokeDelegate(context) changed context.method from\n            // \"return\" to \"throw\", let that override the TypeError below.\n            return ContinueSentinel;\n          }\n        }\n\n        context.method = \"throw\";\n        context.arg = new TypeError(\n          \"The iterator does not provide a 'throw' method\");\n      }\n\n      return ContinueSentinel;\n    }\n\n    var record = tryCatch(method, delegate.iterator, context.arg);\n\n    if (record.type === \"throw\") {\n      context.method = \"throw\";\n      context.arg = record.arg;\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    var info = record.arg;\n\n    if (! info) {\n      context.method = \"throw\";\n      context.arg = new TypeError(\"iterator result is not an object\");\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    if (info.done) {\n      // Assign the result of the finished delegate to the temporary\n      // variable specified by delegate.resultName (see delegateYield).\n      context[delegate.resultName] = info.value;\n\n      // Resume execution at the desired location (see delegateYield).\n      context.next = delegate.nextLoc;\n\n      // If context.method was \"throw\" but the delegate handled the\n      // exception, let the outer generator proceed normally. If\n      // context.method was \"next\", forget context.arg since it has been\n      // \"consumed\" by the delegate iterator. If context.method was\n      // \"return\", allow the original .return call to continue in the\n      // outer generator.\n      if (context.method !== \"return\") {\n        context.method = \"next\";\n        context.arg = undefined;\n      }\n\n    } else {\n      // Re-yield the result returned by the delegate method.\n      return info;\n    }\n\n    // The delegate iterator is finished, so forget it and continue with\n    // the outer generator.\n    context.delegate = null;\n    return ContinueSentinel;\n  }\n\n  // Define Generator.prototype.{next,throw,return} in terms of the\n  // unified ._invoke helper method.\n  defineIteratorMethods(Gp);\n\n  Gp[toStringTagSymbol] = \"Generator\";\n\n  // A Generator should always return itself as the iterator object when the\n  // @@iterator function is called on it. Some browsers' implementations of the\n  // iterator prototype chain incorrectly implement this, causing the Generator\n  // object to not be returned from this call. This ensures that doesn't happen.\n  // See https://github.com/facebook/regenerator/issues/274 for more details.\n  Gp[iteratorSymbol] = function() {\n    return this;\n  };\n\n  Gp.toString = function() {\n    return \"[object Generator]\";\n  };\n\n  function pushTryEntry(locs) {\n    var entry = { tryLoc: locs[0] };\n\n    if (1 in locs) {\n      entry.catchLoc = locs[1];\n    }\n\n    if (2 in locs) {\n      entry.finallyLoc = locs[2];\n      entry.afterLoc = locs[3];\n    }\n\n    this.tryEntries.push(entry);\n  }\n\n  function resetTryEntry(entry) {\n    var record = entry.completion || {};\n    record.type = \"normal\";\n    delete record.arg;\n    entry.completion = record;\n  }\n\n  function Context(tryLocsList) {\n    // The root entry object (effectively a try statement without a catch\n    // or a finally block) gives us a place to store values thrown from\n    // locations where there is no enclosing try statement.\n    this.tryEntries = [{ tryLoc: \"root\" }];\n    tryLocsList.forEach(pushTryEntry, this);\n    this.reset(true);\n  }\n\n  runtime.keys = function(object) {\n    var keys = [];\n    for (var key in object) {\n      keys.push(key);\n    }\n    keys.reverse();\n\n    // Rather than returning an object with a next method, we keep\n    // things simple and return the next function itself.\n    return function next() {\n      while (keys.length) {\n        var key = keys.pop();\n        if (key in object) {\n          next.value = key;\n          next.done = false;\n          return next;\n        }\n      }\n\n      // To avoid creating an additional object, we just hang the .value\n      // and .done properties off the next function object itself. This\n      // also ensures that the minifier will not anonymize the function.\n      next.done = true;\n      return next;\n    };\n  };\n\n  function values(iterable) {\n    if (iterable) {\n      var iteratorMethod = iterable[iteratorSymbol];\n      if (iteratorMethod) {\n        return iteratorMethod.call(iterable);\n      }\n\n      if (typeof iterable.next === \"function\") {\n        return iterable;\n      }\n\n      if (!isNaN(iterable.length)) {\n        var i = -1, next = function next() {\n          while (++i < iterable.length) {\n            if (hasOwn.call(iterable, i)) {\n              next.value = iterable[i];\n              next.done = false;\n              return next;\n            }\n          }\n\n          next.value = undefined;\n          next.done = true;\n\n          return next;\n        };\n\n        return next.next = next;\n      }\n    }\n\n    // Return an iterator with no values.\n    return { next: doneResult };\n  }\n  runtime.values = values;\n\n  function doneResult() {\n    return { value: undefined, done: true };\n  }\n\n  Context.prototype = {\n    constructor: Context,\n\n    reset: function(skipTempReset) {\n      this.prev = 0;\n      this.next = 0;\n      // Resetting context._sent for legacy support of Babel's\n      // function.sent implementation.\n      this.sent = this._sent = undefined;\n      this.done = false;\n      this.delegate = null;\n\n      this.method = \"next\";\n      this.arg = undefined;\n\n      this.tryEntries.forEach(resetTryEntry);\n\n      if (!skipTempReset) {\n        for (var name in this) {\n          // Not sure about the optimal order of these conditions:\n          if (name.charAt(0) === \"t\" &&\n              hasOwn.call(this, name) &&\n              !isNaN(+name.slice(1))) {\n            this[name] = undefined;\n          }\n        }\n      }\n    },\n\n    stop: function() {\n      this.done = true;\n\n      var rootEntry = this.tryEntries[0];\n      var rootRecord = rootEntry.completion;\n      if (rootRecord.type === \"throw\") {\n        throw rootRecord.arg;\n      }\n\n      return this.rval;\n    },\n\n    dispatchException: function(exception) {\n      if (this.done) {\n        throw exception;\n      }\n\n      var context = this;\n      function handle(loc, caught) {\n        record.type = \"throw\";\n        record.arg = exception;\n        context.next = loc;\n\n        if (caught) {\n          // If the dispatched exception was caught by a catch block,\n          // then let that catch block handle the exception normally.\n          context.method = \"next\";\n          context.arg = undefined;\n        }\n\n        return !! caught;\n      }\n\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        var record = entry.completion;\n\n        if (entry.tryLoc === \"root\") {\n          // Exception thrown outside of any try block that could handle\n          // it, so set the completion value of the entire function to\n          // throw the exception.\n          return handle(\"end\");\n        }\n\n        if (entry.tryLoc <= this.prev) {\n          var hasCatch = hasOwn.call(entry, \"catchLoc\");\n          var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n          if (hasCatch && hasFinally) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            } else if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else if (hasCatch) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            }\n\n          } else if (hasFinally) {\n            if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else {\n            throw new Error(\"try statement without catch or finally\");\n          }\n        }\n      }\n    },\n\n    abrupt: function(type, arg) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc <= this.prev &&\n            hasOwn.call(entry, \"finallyLoc\") &&\n            this.prev < entry.finallyLoc) {\n          var finallyEntry = entry;\n          break;\n        }\n      }\n\n      if (finallyEntry &&\n          (type === \"break\" ||\n           type === \"continue\") &&\n          finallyEntry.tryLoc <= arg &&\n          arg <= finallyEntry.finallyLoc) {\n        // Ignore the finally entry if control is not jumping to a\n        // location outside the try/catch block.\n        finallyEntry = null;\n      }\n\n      var record = finallyEntry ? finallyEntry.completion : {};\n      record.type = type;\n      record.arg = arg;\n\n      if (finallyEntry) {\n        this.method = \"next\";\n        this.next = finallyEntry.finallyLoc;\n        return ContinueSentinel;\n      }\n\n      return this.complete(record);\n    },\n\n    complete: function(record, afterLoc) {\n      if (record.type === \"throw\") {\n        throw record.arg;\n      }\n\n      if (record.type === \"break\" ||\n          record.type === \"continue\") {\n        this.next = record.arg;\n      } else if (record.type === \"return\") {\n        this.rval = this.arg = record.arg;\n        this.method = \"return\";\n        this.next = \"end\";\n      } else if (record.type === \"normal\" && afterLoc) {\n        this.next = afterLoc;\n      }\n\n      return ContinueSentinel;\n    },\n\n    finish: function(finallyLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.finallyLoc === finallyLoc) {\n          this.complete(entry.completion, entry.afterLoc);\n          resetTryEntry(entry);\n          return ContinueSentinel;\n        }\n      }\n    },\n\n    \"catch\": function(tryLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc === tryLoc) {\n          var record = entry.completion;\n          if (record.type === \"throw\") {\n            var thrown = record.arg;\n            resetTryEntry(entry);\n          }\n          return thrown;\n        }\n      }\n\n      // The context.catch method must only be called with a location\n      // argument that corresponds to a known catch block.\n      throw new Error(\"illegal catch attempt\");\n    },\n\n    delegateYield: function(iterable, resultName, nextLoc) {\n      this.delegate = {\n        iterator: values(iterable),\n        resultName: resultName,\n        nextLoc: nextLoc\n      };\n\n      if (this.method === \"next\") {\n        // Deliberately forget the last sent value so that we don't\n        // accidentally pass it on to the delegate.\n        this.arg = undefined;\n      }\n\n      return ContinueSentinel;\n    }\n  };\n})(\n  // Among the various tricks for obtaining a reference to the global\n  // object, this seems to be the most reliable technique that does not\n  // use indirect eval (which violates Content Security Policy).\n  typeof global === \"object\" ? global :\n  typeof window === \"object\" ? window :\n  typeof self === \"object\" ? self : this\n);\n","var $iterators = require('./es6.array.iterator');\nvar getKeys = require('./_object-keys');\nvar redefine = require('./_redefine');\nvar global = require('./_global');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar wks = require('./_wks');\nvar ITERATOR = wks('iterator');\nvar TO_STRING_TAG = wks('toStringTag');\nvar ArrayValues = Iterators.Array;\n\nvar DOMIterables = {\n  CSSRuleList: true, // TODO: Not spec compliant, should be false.\n  CSSStyleDeclaration: false,\n  CSSValueList: false,\n  ClientRectList: false,\n  DOMRectList: false,\n  DOMStringList: false,\n  DOMTokenList: true,\n  DataTransferItemList: false,\n  FileList: false,\n  HTMLAllCollection: false,\n  HTMLCollection: false,\n  HTMLFormElement: false,\n  HTMLSelectElement: false,\n  MediaList: true, // TODO: Not spec compliant, should be false.\n  MimeTypeArray: false,\n  NamedNodeMap: false,\n  NodeList: true,\n  PaintRequestList: false,\n  Plugin: false,\n  PluginArray: false,\n  SVGLengthList: false,\n  SVGNumberList: false,\n  SVGPathSegList: false,\n  SVGPointList: false,\n  SVGStringList: false,\n  SVGTransformList: false,\n  SourceBufferList: false,\n  StyleSheetList: true, // TODO: Not spec compliant, should be false.\n  TextTrackCueList: false,\n  TextTrackList: false,\n  TouchList: false\n};\n\nfor (var collections = getKeys(DOMIterables), i = 0; i < collections.length; i++) {\n  var NAME = collections[i];\n  var explicit = DOMIterables[NAME];\n  var Collection = global[NAME];\n  var proto = Collection && Collection.prototype;\n  var key;\n  if (proto) {\n    if (!proto[ITERATOR]) hide(proto, ITERATOR, ArrayValues);\n    if (!proto[TO_STRING_TAG]) hide(proto, TO_STRING_TAG, NAME);\n    Iterators[NAME] = ArrayValues;\n    if (explicit) for (key in $iterators) if (!proto[key]) redefine(proto, key, $iterators[key], true);\n  }\n}\n","var $export = require('./_export');\nvar $task = require('./_task');\n$export($export.G + $export.B, {\n  setImmediate: $task.set,\n  clearImmediate: $task.clear\n});\n","// ie9- setTimeout & setInterval additional parameters fix\nvar global = require('./_global');\nvar $export = require('./_export');\nvar userAgent = require('./_user-agent');\nvar slice = [].slice;\nvar MSIE = /MSIE .\\./.test(userAgent); // <- dirty ie9- check\nvar wrap = function (set) {\n  return function (fn, time /* , ...args */) {\n    var boundArgs = arguments.length > 2;\n    var args = boundArgs ? slice.call(arguments, 2) : false;\n    return set(boundArgs ? function () {\n      // eslint-disable-next-line no-new-func\n      (typeof fn == 'function' ? fn : Function(fn)).apply(this, args);\n    } : fn, time);\n  };\n};\n$export($export.G + $export.B + $export.F * MSIE, {\n  setTimeout: wrap(global.setTimeout),\n  setInterval: wrap(global.setInterval)\n});\n","'use strict';\n// https://github.com/zenparsing/es-observable\nvar $export = require('./_export');\nvar global = require('./_global');\nvar core = require('./_core');\nvar microtask = require('./_microtask')();\nvar OBSERVABLE = require('./_wks')('observable');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar anInstance = require('./_an-instance');\nvar redefineAll = require('./_redefine-all');\nvar hide = require('./_hide');\nvar forOf = require('./_for-of');\nvar RETURN = forOf.RETURN;\n\nvar getMethod = function (fn) {\n  return fn == null ? undefined : aFunction(fn);\n};\n\nvar cleanupSubscription = function (subscription) {\n  var cleanup = subscription._c;\n  if (cleanup) {\n    subscription._c = undefined;\n    cleanup();\n  }\n};\n\nvar subscriptionClosed = function (subscription) {\n  return subscription._o === undefined;\n};\n\nvar closeSubscription = function (subscription) {\n  if (!subscriptionClosed(subscription)) {\n    subscription._o = undefined;\n    cleanupSubscription(subscription);\n  }\n};\n\nvar Subscription = function (observer, subscriber) {\n  anObject(observer);\n  this._c = undefined;\n  this._o = observer;\n  observer = new SubscriptionObserver(this);\n  try {\n    var cleanup = subscriber(observer);\n    var subscription = cleanup;\n    if (cleanup != null) {\n      if (typeof cleanup.unsubscribe === 'function') cleanup = function () { subscription.unsubscribe(); };\n      else aFunction(cleanup);\n      this._c = cleanup;\n    }\n  } catch (e) {\n    observer.error(e);\n    return;\n  } if (subscriptionClosed(this)) cleanupSubscription(this);\n};\n\nSubscription.prototype = redefineAll({}, {\n  unsubscribe: function unsubscribe() { closeSubscription(this); }\n});\n\nvar SubscriptionObserver = function (subscription) {\n  this._s = subscription;\n};\n\nSubscriptionObserver.prototype = redefineAll({}, {\n  next: function next(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      try {\n        var m = getMethod(observer.next);\n        if (m) return m.call(observer, value);\n      } catch (e) {\n        try {\n          closeSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      }\n    }\n  },\n  error: function error(value) {\n    var subscription = this._s;\n    if (subscriptionClosed(subscription)) throw value;\n    var observer = subscription._o;\n    subscription._o = undefined;\n    try {\n      var m = getMethod(observer.error);\n      if (!m) throw value;\n      value = m.call(observer, value);\n    } catch (e) {\n      try {\n        cleanupSubscription(subscription);\n      } finally {\n        throw e;\n      }\n    } cleanupSubscription(subscription);\n    return value;\n  },\n  complete: function complete(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      subscription._o = undefined;\n      try {\n        var m = getMethod(observer.complete);\n        value = m ? m.call(observer, value) : undefined;\n      } catch (e) {\n        try {\n          cleanupSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      } cleanupSubscription(subscription);\n      return value;\n    }\n  }\n});\n\nvar $Observable = function Observable(subscriber) {\n  anInstance(this, $Observable, 'Observable', '_f')._f = aFunction(subscriber);\n};\n\nredefineAll($Observable.prototype, {\n  subscribe: function subscribe(observer) {\n    return new Subscription(observer, this._f);\n  },\n  forEach: function forEach(fn) {\n    var that = this;\n    return new (core.Promise || global.Promise)(function (resolve, reject) {\n      aFunction(fn);\n      var subscription = that.subscribe({\n        next: function (value) {\n          try {\n            return fn(value);\n          } catch (e) {\n            reject(e);\n            subscription.unsubscribe();\n          }\n        },\n        error: reject,\n        complete: resolve\n      });\n    });\n  }\n});\n\nredefineAll($Observable, {\n  from: function from(x) {\n    var C = typeof this === 'function' ? this : $Observable;\n    var method = getMethod(anObject(x)[OBSERVABLE]);\n    if (method) {\n      var observable = anObject(method.call(x));\n      return observable.constructor === C ? observable : new C(function (observer) {\n        return observable.subscribe(observer);\n      });\n    }\n    return new C(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          try {\n            if (forOf(x, false, function (it) {\n              observer.next(it);\n              if (done) return RETURN;\n            }) === RETURN) return;\n          } catch (e) {\n            if (done) throw e;\n            observer.error(e);\n            return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  },\n  of: function of() {\n    for (var i = 0, l = arguments.length, items = new Array(l); i < l;) items[i] = arguments[i++];\n    return new (typeof this === 'function' ? this : $Observable)(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          for (var j = 0; j < items.length; ++j) {\n            observer.next(items[j]);\n            if (done) return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  }\n});\n\nhide($Observable.prototype, OBSERVABLE, function () { return this; });\n\n$export($export.G, { Observable: $Observable });\n\nrequire('./_set-species')('Observable');\n","// https://github.com/rwaldron/tc39-notes/blob/master/es6/2014-09/sept-25.md#510-globalasap-for-enqueuing-a-microtask\nvar $export = require('./_export');\nvar microtask = require('./_microtask')();\nvar process = require('./_global').process;\nvar isNode = require('./_cof')(process) == 'process';\n\n$export($export.G, {\n  asap: function asap(fn) {\n    var domain = isNode && process.domain;\n    microtask(domain ? domain.bind(fn) : fn);\n  }\n});\n","var $metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar toMetaKey = $metadata.key;\nvar ordinaryDefineOwnMetadata = $metadata.set;\n\n$metadata.exp({ metadata: function metadata(metadataKey, metadataValue) {\n  return function decorator(target, targetKey) {\n    ordinaryDefineOwnMetadata(\n      metadataKey, metadataValue,\n      (targetKey !== undefined ? anObject : aFunction)(target),\n      toMetaKey(targetKey)\n    );\n  };\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ hasOwnMetadata: function hasOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nvar ordinaryHasMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return true;\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryHasMetadata(MetadataKey, parent, P) : false;\n};\n\nmetadata.exp({ hasMetadata: function hasMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadataKeys: function getOwnMetadataKeys(target /* , targetKey */) {\n  return ordinaryOwnMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadata: function getOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var Set = require('./es6.set');\nvar from = require('./_array-from-iterable');\nvar metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nvar ordinaryMetadataKeys = function (O, P) {\n  var oKeys = ordinaryOwnMetadataKeys(O, P);\n  var parent = getPrototypeOf(O);\n  if (parent === null) return oKeys;\n  var pKeys = ordinaryMetadataKeys(parent, P);\n  return pKeys.length ? oKeys.length ? from(new Set(oKeys.concat(pKeys))) : pKeys : oKeys;\n};\n\nmetadata.exp({ getMetadataKeys: function getMetadataKeys(target /* , targetKey */) {\n  return ordinaryMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nvar ordinaryGetMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return ordinaryGetOwnMetadata(MetadataKey, O, P);\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryGetMetadata(MetadataKey, parent, P) : undefined;\n};\n\nmetadata.exp({ getMetadata: function getMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar getOrCreateMetadataMap = metadata.map;\nvar store = metadata.store;\n\nmetadata.exp({ deleteMetadata: function deleteMetadata(metadataKey, target /* , targetKey */) {\n  var targetKey = arguments.length < 3 ? undefined : toMetaKey(arguments[2]);\n  var metadataMap = getOrCreateMetadataMap(anObject(target), targetKey, false);\n  if (metadataMap === undefined || !metadataMap['delete'](metadataKey)) return false;\n  if (metadataMap.size) return true;\n  var targetMetadata = store.get(target);\n  targetMetadata['delete'](targetKey);\n  return !!targetMetadata.size || store['delete'](target);\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar ordinaryDefineOwnMetadata = metadata.set;\n\nmetadata.exp({ defineMetadata: function defineMetadata(metadataKey, metadataValue, target, targetKey) {\n  ordinaryDefineOwnMetadata(metadataKey, metadataValue, anObject(target), toMetaKey(targetKey));\n} });\n","'use strict';\n// https://github.com/tc39/proposal-promise-try\nvar $export = require('./_export');\nvar newPromiseCapability = require('./_new-promise-capability');\nvar perform = require('./_perform');\n\n$export($export.S, 'Promise', { 'try': function (callbackfn) {\n  var promiseCapability = newPromiseCapability.f(this);\n  var result = perform(callbackfn);\n  (result.e ? promiseCapability.reject : promiseCapability.resolve)(result.v);\n  return promiseCapability.promise;\n} });\n","// https://github.com/tc39/proposal-promise-finally\n'use strict';\nvar $export = require('./_export');\nvar core = require('./_core');\nvar global = require('./_global');\nvar speciesConstructor = require('./_species-constructor');\nvar promiseResolve = require('./_promise-resolve');\n\n$export($export.P + $export.R, 'Promise', { 'finally': function (onFinally) {\n  var C = speciesConstructor(this, core.Promise || global.Promise);\n  var isFunction = typeof onFinally == 'function';\n  return this.then(\n    isFunction ? function (x) {\n      return promiseResolve(C, onFinally()).then(function () { return x; });\n    } : onFinally,\n    isFunction ? function (e) {\n      return promiseResolve(C, onFinally()).then(function () { throw e; });\n    } : onFinally\n  );\n} });\n","// http://jfbastien.github.io/papers/Math.signbit.html\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { signbit: function signbit(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) != x ? x : x == 0 ? 1 / x == Infinity : x > 0;\n} });\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  umulh: function umulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >>> 16;\n    var v1 = $v >>> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >>> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >>> 16);\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { scale: require('./_math-scale') });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar DEG_PER_RAD = Math.PI / 180;\n\n$export($export.S, 'Math', {\n  radians: function radians(degrees) {\n    return degrees * DEG_PER_RAD;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { RAD_PER_DEG: 180 / Math.PI });\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  imulh: function imulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >> 16;\n    var v1 = $v >> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >> 16);\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  isubh: function isubh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 - (y1 >>> 0) - ((~$x0 & $y0 | ~($x0 ^ $y0) & $x0 - $y0 >>> 0) >>> 31) | 0;\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  iaddh: function iaddh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 + (y1 >>> 0) + (($x0 & $y0 | ($x0 | $y0) & ~($x0 + $y0 >>> 0)) >>> 31) | 0;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar scale = require('./_math-scale');\nvar fround = require('./_math-fround');\n\n$export($export.S, 'Math', {\n  fscale: function fscale(x, inLow, inHigh, outLow, outHigh) {\n    return fround(scale(x, inLow, inHigh, outLow, outHigh));\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar RAD_PER_DEG = 180 / Math.PI;\n\n$export($export.S, 'Math', {\n  degrees: function degrees(radians) {\n    return radians * RAD_PER_DEG;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { DEG_PER_RAD: Math.PI / 180 });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clamp: function clamp(x, lower, upper) {\n    return Math.min(upper, Math.max(lower, x));\n  }\n});\n","// https://github.com/ljharb/proposal-is-error\nvar $export = require('./_export');\nvar cof = require('./_cof');\n\n$export($export.S, 'Error', {\n  isError: function isError(it) {\n    return cof(it) === 'Error';\n  }\n});\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.S, 'System', { global: require('./_global') });\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.G, { global: require('./_global') });\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.from\nrequire('./_set-collection-from')('WeakSet');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.from\nrequire('./_set-collection-from')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.from\nrequire('./_set-collection-from')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.from\nrequire('./_set-collection-from')('Map');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.of\nrequire('./_set-collection-of')('WeakSet');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.of\nrequire('./_set-collection-of')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.of\nrequire('./_set-collection-of')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.of\nrequire('./_set-collection-of')('Map');\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Set', { toJSON: require('./_collection-to-json')('Set') });\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Map', { toJSON: require('./_collection-to-json')('Map') });\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.5 Object.prototype.__lookupSetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupSetter__: function __lookupSetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.set;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.4 Object.prototype.__lookupGetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupGetter__: function __lookupGetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.get;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.3 Object.prototype.__defineSetter__(P, setter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineSetter__: function __defineSetter__(P, setter) {\n    $defineProperty.f(toObject(this), P, { set: aFunction(setter), enumerable: true, configurable: true });\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.2 Object.prototype.__defineGetter__(P, getter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineGetter__: function __defineGetter__(P, getter) {\n    $defineProperty.f(toObject(this), P, { get: aFunction(getter), enumerable: true, configurable: true });\n  }\n});\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $entries = require('./_object-to-array')(true);\n\n$export($export.S, 'Object', {\n  entries: function entries(it) {\n    return $entries(it);\n  }\n});\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $values = require('./_object-to-array')(false);\n\n$export($export.S, 'Object', {\n  values: function values(it) {\n    return $values(it);\n  }\n});\n","// https://github.com/tc39/proposal-object-getownpropertydescriptors\nvar $export = require('./_export');\nvar ownKeys = require('./_own-keys');\nvar toIObject = require('./_to-iobject');\nvar gOPD = require('./_object-gopd');\nvar createProperty = require('./_create-property');\n\n$export($export.S, 'Object', {\n  getOwnPropertyDescriptors: function getOwnPropertyDescriptors(object) {\n    var O = toIObject(object);\n    var getDesc = gOPD.f;\n    var keys = ownKeys(O);\n    var result = {};\n    var i = 0;\n    var key, desc;\n    while (keys.length > i) {\n      desc = getDesc(O, key = keys[i++]);\n      if (desc !== undefined) createProperty(result, key, desc);\n    }\n    return result;\n  }\n});\n","require('./_wks-define')('observable');\n","require('./_wks-define')('asyncIterator');\n","'use strict';\n// https://tc39.github.io/String.prototype.matchAll/\nvar $export = require('./_export');\nvar defined = require('./_defined');\nvar toLength = require('./_to-length');\nvar isRegExp = require('./_is-regexp');\nvar getFlags = require('./_flags');\nvar RegExpProto = RegExp.prototype;\n\nvar $RegExpStringIterator = function (regexp, string) {\n  this._r = regexp;\n  this._s = string;\n};\n\nrequire('./_iter-create')($RegExpStringIterator, 'RegExp String', function next() {\n  var match = this._r.exec(this._s);\n  return { value: match, done: match === null };\n});\n\n$export($export.P, 'String', {\n  matchAll: function matchAll(regexp) {\n    defined(this);\n    if (!isRegExp(regexp)) throw TypeError(regexp + ' is not a regexp!');\n    var S = String(this);\n    var flags = 'flags' in RegExpProto ? String(regexp.flags) : getFlags.call(regexp);\n    var rx = new RegExp(regexp.source, ~flags.indexOf('g') ? flags : 'g' + flags);\n    rx.lastIndex = toLength(regexp.lastIndex);\n    return new $RegExpStringIterator(rx, S);\n  }\n});\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimRight', function ($trim) {\n  return function trimRight() {\n    return $trim(this, 2);\n  };\n}, 'trimEnd');\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimLeft', function ($trim) {\n  return function trimLeft() {\n    return $trim(this, 1);\n  };\n}, 'trimStart');\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\n$export($export.P + $export.F * /Version\\/10\\.\\d+(\\.\\d+)? Safari\\//.test(userAgent), 'String', {\n  padEnd: function padEnd(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, false);\n  }\n});\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\n$export($export.P + $export.F * /Version\\/10\\.\\d+(\\.\\d+)? Safari\\//.test(userAgent), 'String', {\n  padStart: function padStart(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, true);\n  }\n});\n","'use strict';\n// https://github.com/mathiasbynens/String.prototype.at\nvar $export = require('./_export');\nvar $at = require('./_string-at')(true);\n\n$export($export.P, 'String', {\n  at: function at(pos) {\n    return $at(this, pos);\n  }\n});\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatten\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatten: function flatten(/* depthArg = 1 */) {\n    var depthArg = arguments[0];\n    var O = toObject(this);\n    var sourceLen = toLength(O.length);\n    var A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, depthArg === undefined ? 1 : toInteger(depthArg));\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatten');\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatMap\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar aFunction = require('./_a-function');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatMap: function flatMap(callbackfn /* , thisArg */) {\n    var O = toObject(this);\n    var sourceLen, A;\n    aFunction(callbackfn);\n    sourceLen = toLength(O.length);\n    A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, 1, callbackfn, arguments[1]);\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatMap');\n","'use strict';\n// https://github.com/tc39/Array.prototype.includes\nvar $export = require('./_export');\nvar $includes = require('./_array-includes')(true);\n\n$export($export.P, 'Array', {\n  includes: function includes(el /* , fromIndex = 0 */) {\n    return $includes(this, el, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\nrequire('./_add-to-unscopables')('includes');\n","// 26.1.14 Reflect.setPrototypeOf(target, proto)\nvar $export = require('./_export');\nvar setProto = require('./_set-proto');\n\nif (setProto) $export($export.S, 'Reflect', {\n  setPrototypeOf: function setPrototypeOf(target, proto) {\n    setProto.check(target, proto);\n    try {\n      setProto.set(target, proto);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.13 Reflect.set(target, propertyKey, V [, receiver])\nvar dP = require('./_object-dp');\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar createDesc = require('./_property-desc');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\n\nfunction set(target, propertyKey, V /* , receiver */) {\n  var receiver = arguments.length < 4 ? target : arguments[3];\n  var ownDesc = gOPD.f(anObject(target), propertyKey);\n  var existingDescriptor, proto;\n  if (!ownDesc) {\n    if (isObject(proto = getPrototypeOf(target))) {\n      return set(proto, propertyKey, V, receiver);\n    }\n    ownDesc = createDesc(0);\n  }\n  if (has(ownDesc, 'value')) {\n    if (ownDesc.writable === false || !isObject(receiver)) return false;\n    if (existingDescriptor = gOPD.f(receiver, propertyKey)) {\n      if (existingDescriptor.get || existingDescriptor.set || existingDescriptor.writable === false) return false;\n      existingDescriptor.value = V;\n      dP.f(receiver, propertyKey, existingDescriptor);\n    } else dP.f(receiver, propertyKey, createDesc(0, V));\n    return true;\n  }\n  return ownDesc.set === undefined ? false : (ownDesc.set.call(receiver, V), true);\n}\n\n$export($export.S, 'Reflect', { set: set });\n","// 26.1.12 Reflect.preventExtensions(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $preventExtensions = Object.preventExtensions;\n\n$export($export.S, 'Reflect', {\n  preventExtensions: function preventExtensions(target) {\n    anObject(target);\n    try {\n      if ($preventExtensions) $preventExtensions(target);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.11 Reflect.ownKeys(target)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', { ownKeys: require('./_own-keys') });\n","// 26.1.10 Reflect.isExtensible(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $isExtensible = Object.isExtensible;\n\n$export($export.S, 'Reflect', {\n  isExtensible: function isExtensible(target) {\n    anObject(target);\n    return $isExtensible ? $isExtensible(target) : true;\n  }\n});\n","// 26.1.9 Reflect.has(target, propertyKey)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', {\n  has: function has(target, propertyKey) {\n    return propertyKey in target;\n  }\n});\n","// 26.1.8 Reflect.getPrototypeOf(target)\nvar $export = require('./_export');\nvar getProto = require('./_object-gpo');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getPrototypeOf: function getPrototypeOf(target) {\n    return getProto(anObject(target));\n  }\n});\n","// 26.1.7 Reflect.getOwnPropertyDescriptor(target, propertyKey)\nvar gOPD = require('./_object-gopd');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getOwnPropertyDescriptor: function getOwnPropertyDescriptor(target, propertyKey) {\n    return gOPD.f(anObject(target), propertyKey);\n  }\n});\n","// 26.1.6 Reflect.get(target, propertyKey [, receiver])\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\n\nfunction get(target, propertyKey /* , receiver */) {\n  var receiver = arguments.length < 3 ? target : arguments[2];\n  var desc, proto;\n  if (anObject(target) === receiver) return target[propertyKey];\n  if (desc = gOPD.f(target, propertyKey)) return has(desc, 'value')\n    ? desc.value\n    : desc.get !== undefined\n      ? desc.get.call(receiver)\n      : undefined;\n  if (isObject(proto = getPrototypeOf(target))) return get(proto, propertyKey, receiver);\n}\n\n$export($export.S, 'Reflect', { get: get });\n","'use strict';\n// 26.1.5 Reflect.enumerate(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar Enumerate = function (iterated) {\n  this._t = anObject(iterated); // target\n  this._i = 0;                  // next index\n  var keys = this._k = [];      // keys\n  var key;\n  for (key in iterated) keys.push(key);\n};\nrequire('./_iter-create')(Enumerate, 'Object', function () {\n  var that = this;\n  var keys = that._k;\n  var key;\n  do {\n    if (that._i >= keys.length) return { value: undefined, done: true };\n  } while (!((key = keys[that._i++]) in that._t));\n  return { value: key, done: false };\n});\n\n$export($export.S, 'Reflect', {\n  enumerate: function enumerate(target) {\n    return new Enumerate(target);\n  }\n});\n","// 26.1.4 Reflect.deleteProperty(target, propertyKey)\nvar $export = require('./_export');\nvar gOPD = require('./_object-gopd').f;\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  deleteProperty: function deleteProperty(target, propertyKey) {\n    var desc = gOPD(anObject(target), propertyKey);\n    return desc && !desc.configurable ? false : delete target[propertyKey];\n  }\n});\n","// 26.1.3 Reflect.defineProperty(target, propertyKey, attributes)\nvar dP = require('./_object-dp');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\n\n// MS Edge has broken Reflect.defineProperty - throwing instead of returning false\n$export($export.S + $export.F * require('./_fails')(function () {\n  // eslint-disable-next-line no-undef\n  Reflect.defineProperty(dP.f({}, 1, { value: 1 }), 1, { value: 2 });\n}), 'Reflect', {\n  defineProperty: function defineProperty(target, propertyKey, attributes) {\n    anObject(target);\n    propertyKey = toPrimitive(propertyKey, true);\n    anObject(attributes);\n    try {\n      dP.f(target, propertyKey, attributes);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.2 Reflect.construct(target, argumentsList [, newTarget])\nvar $export = require('./_export');\nvar create = require('./_object-create');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar bind = require('./_bind');\nvar rConstruct = (require('./_global').Reflect || {}).construct;\n\n// MS Edge supports only 2 arguments and argumentsList argument is optional\n// FF Nightly sets third argument as `new.target`, but does not create `this` from it\nvar NEW_TARGET_BUG = fails(function () {\n  function F() { /* empty */ }\n  return !(rConstruct(function () { /* empty */ }, [], F) instanceof F);\n});\nvar ARGS_BUG = !fails(function () {\n  rConstruct(function () { /* empty */ });\n});\n\n$export($export.S + $export.F * (NEW_TARGET_BUG || ARGS_BUG), 'Reflect', {\n  construct: function construct(Target, args /* , newTarget */) {\n    aFunction(Target);\n    anObject(args);\n    var newTarget = arguments.length < 3 ? Target : aFunction(arguments[2]);\n    if (ARGS_BUG && !NEW_TARGET_BUG) return rConstruct(Target, args, newTarget);\n    if (Target == newTarget) {\n      // w/o altered newTarget, optimization for 0-4 arguments\n      switch (args.length) {\n        case 0: return new Target();\n        case 1: return new Target(args[0]);\n        case 2: return new Target(args[0], args[1]);\n        case 3: return new Target(args[0], args[1], args[2]);\n        case 4: return new Target(args[0], args[1], args[2], args[3]);\n      }\n      // w/o altered newTarget, lot of arguments case\n      var $args = [null];\n      $args.push.apply($args, args);\n      return new (bind.apply(Target, $args))();\n    }\n    // with altered newTarget, not support built-in constructors\n    var proto = newTarget.prototype;\n    var instance = create(isObject(proto) ? proto : Object.prototype);\n    var result = Function.apply.call(Target, instance, args);\n    return isObject(result) ? result : instance;\n  }\n});\n","// 26.1.1 Reflect.apply(target, thisArgument, argumentsList)\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar rApply = (require('./_global').Reflect || {}).apply;\nvar fApply = Function.apply;\n// MS Edge argumentsList argument is optional\n$export($export.S + $export.F * !require('./_fails')(function () {\n  rApply(function () { /* empty */ });\n}), 'Reflect', {\n  apply: function apply(target, thisArgument, argumentsList) {\n    var T = aFunction(target);\n    var L = anObject(argumentsList);\n    return rApply ? rApply(T, thisArgument, L) : fApply.call(T, thisArgument, L);\n  }\n});\n","require('./_typed-array')('Float64', 8, function (init) {\n  return function Float64Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Float32', 4, function (init) {\n  return function Float32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint32', 4, function (init) {\n  return function Uint32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int32', 4, function (init) {\n  return function Int32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint16', 2, function (init) {\n  return function Uint16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int16', 2, function (init) {\n  return function Int16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8ClampedArray(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n}, true);\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int8', 1, function (init) {\n  return function Int8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","var $export = require('./_export');\n$export($export.G + $export.W + $export.F * !require('./_typed').ABV, {\n  DataView: require('./_typed-buffer').DataView\n});\n","'use strict';\nvar $export = require('./_export');\nvar $typed = require('./_typed');\nvar buffer = require('./_typed-buffer');\nvar anObject = require('./_an-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar isObject = require('./_is-object');\nvar ArrayBuffer = require('./_global').ArrayBuffer;\nvar speciesConstructor = require('./_species-constructor');\nvar $ArrayBuffer = buffer.ArrayBuffer;\nvar $DataView = buffer.DataView;\nvar $isView = $typed.ABV && ArrayBuffer.isView;\nvar $slice = $ArrayBuffer.prototype.slice;\nvar VIEW = $typed.VIEW;\nvar ARRAY_BUFFER = 'ArrayBuffer';\n\n$export($export.G + $export.W + $export.F * (ArrayBuffer !== $ArrayBuffer), { ArrayBuffer: $ArrayBuffer });\n\n$export($export.S + $export.F * !$typed.CONSTR, ARRAY_BUFFER, {\n  // 24.1.3.1 ArrayBuffer.isView(arg)\n  isView: function isView(it) {\n    return $isView && $isView(it) || isObject(it) && VIEW in it;\n  }\n});\n\n$export($export.P + $export.U + $export.F * require('./_fails')(function () {\n  return !new $ArrayBuffer(2).slice(1, undefined).byteLength;\n}), ARRAY_BUFFER, {\n  // 24.1.4.3 ArrayBuffer.prototype.slice(start, end)\n  slice: function slice(start, end) {\n    if ($slice !== undefined && end === undefined) return $slice.call(anObject(this), start); // FF fix\n    var len = anObject(this).byteLength;\n    var first = toAbsoluteIndex(start, len);\n    var fin = toAbsoluteIndex(end === undefined ? len : end, len);\n    var result = new (speciesConstructor(this, $ArrayBuffer))(toLength(fin - first));\n    var viewS = new $DataView(this);\n    var viewT = new $DataView(result);\n    var index = 0;\n    while (first < fin) {\n      viewT.setUint8(index++, viewS.getUint8(first++));\n    } return result;\n  }\n});\n\nrequire('./_set-species')(ARRAY_BUFFER);\n","'use strict';\nvar weak = require('./_collection-weak');\nvar validate = require('./_validate-collection');\nvar WEAK_SET = 'WeakSet';\n\n// 23.4 WeakSet Objects\nrequire('./_collection')(WEAK_SET, function (get) {\n  return function WeakSet() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.4.3.1 WeakSet.prototype.add(value)\n  add: function add(value) {\n    return weak.def(validate(this, WEAK_SET), value, true);\n  }\n}, weak, false, true);\n","'use strict';\nvar LIBRARY = require('./_library');\nvar global = require('./_global');\nvar ctx = require('./_ctx');\nvar classof = require('./_classof');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar aFunction = require('./_a-function');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar speciesConstructor = require('./_species-constructor');\nvar task = require('./_task').set;\nvar microtask = require('./_microtask')();\nvar newPromiseCapabilityModule = require('./_new-promise-capability');\nvar perform = require('./_perform');\nvar userAgent = require('./_user-agent');\nvar promiseResolve = require('./_promise-resolve');\nvar PROMISE = 'Promise';\nvar TypeError = global.TypeError;\nvar process = global.process;\nvar versions = process && process.versions;\nvar v8 = versions && versions.v8 || '';\nvar $Promise = global[PROMISE];\nvar isNode = classof(process) == 'process';\nvar empty = function () { /* empty */ };\nvar Internal, newGenericPromiseCapability, OwnPromiseCapability, Wrapper;\nvar newPromiseCapability = newGenericPromiseCapability = newPromiseCapabilityModule.f;\n\nvar USE_NATIVE = !!function () {\n  try {\n    // correct subclassing with @@species support\n    var promise = $Promise.resolve(1);\n    var FakePromise = (promise.constructor = {})[require('./_wks')('species')] = function (exec) {\n      exec(empty, empty);\n    };\n    // unhandled rejections tracking support, NodeJS Promise without it fails @@species test\n    return (isNode || typeof PromiseRejectionEvent == 'function')\n      && promise.then(empty) instanceof FakePromise\n      // v8 6.6 (Node 10 and Chrome 66) have a bug with resolving custom thenables\n      // https://bugs.chromium.org/p/chromium/issues/detail?id=830565\n      // we can't detect it synchronously, so just check versions\n      && v8.indexOf('6.6') !== 0\n      && userAgent.indexOf('Chrome/66') === -1;\n  } catch (e) { /* empty */ }\n}();\n\n// helpers\nvar isThenable = function (it) {\n  var then;\n  return isObject(it) && typeof (then = it.then) == 'function' ? then : false;\n};\nvar notify = function (promise, isReject) {\n  if (promise._n) return;\n  promise._n = true;\n  var chain = promise._c;\n  microtask(function () {\n    var value = promise._v;\n    var ok = promise._s == 1;\n    var i = 0;\n    var run = function (reaction) {\n      var handler = ok ? reaction.ok : reaction.fail;\n      var resolve = reaction.resolve;\n      var reject = reaction.reject;\n      var domain = reaction.domain;\n      var result, then, exited;\n      try {\n        if (handler) {\n          if (!ok) {\n            if (promise._h == 2) onHandleUnhandled(promise);\n            promise._h = 1;\n          }\n          if (handler === true) result = value;\n          else {\n            if (domain) domain.enter();\n            result = handler(value); // may throw\n            if (domain) {\n              domain.exit();\n              exited = true;\n            }\n          }\n          if (result === reaction.promise) {\n            reject(TypeError('Promise-chain cycle'));\n          } else if (then = isThenable(result)) {\n            then.call(result, resolve, reject);\n          } else resolve(result);\n        } else reject(value);\n      } catch (e) {\n        if (domain && !exited) domain.exit();\n        reject(e);\n      }\n    };\n    while (chain.length > i) run(chain[i++]); // variable length - can't use forEach\n    promise._c = [];\n    promise._n = false;\n    if (isReject && !promise._h) onUnhandled(promise);\n  });\n};\nvar onUnhandled = function (promise) {\n  task.call(global, function () {\n    var value = promise._v;\n    var unhandled = isUnhandled(promise);\n    var result, handler, console;\n    if (unhandled) {\n      result = perform(function () {\n        if (isNode) {\n          process.emit('unhandledRejection', value, promise);\n        } else if (handler = global.onunhandledrejection) {\n          handler({ promise: promise, reason: value });\n        } else if ((console = global.console) && console.error) {\n          console.error('Unhandled promise rejection', value);\n        }\n      });\n      // Browsers should not trigger `rejectionHandled` event if it was handled here, NodeJS - should\n      promise._h = isNode || isUnhandled(promise) ? 2 : 1;\n    } promise._a = undefined;\n    if (unhandled && result.e) throw result.v;\n  });\n};\nvar isUnhandled = function (promise) {\n  return promise._h !== 1 && (promise._a || promise._c).length === 0;\n};\nvar onHandleUnhandled = function (promise) {\n  task.call(global, function () {\n    var handler;\n    if (isNode) {\n      process.emit('rejectionHandled', promise);\n    } else if (handler = global.onrejectionhandled) {\n      handler({ promise: promise, reason: promise._v });\n    }\n  });\n};\nvar $reject = function (value) {\n  var promise = this;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  promise._v = value;\n  promise._s = 2;\n  if (!promise._a) promise._a = promise._c.slice();\n  notify(promise, true);\n};\nvar $resolve = function (value) {\n  var promise = this;\n  var then;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  try {\n    if (promise === value) throw TypeError(\"Promise can't be resolved itself\");\n    if (then = isThenable(value)) {\n      microtask(function () {\n        var wrapper = { _w: promise, _d: false }; // wrap\n        try {\n          then.call(value, ctx($resolve, wrapper, 1), ctx($reject, wrapper, 1));\n        } catch (e) {\n          $reject.call(wrapper, e);\n        }\n      });\n    } else {\n      promise._v = value;\n      promise._s = 1;\n      notify(promise, false);\n    }\n  } catch (e) {\n    $reject.call({ _w: promise, _d: false }, e); // wrap\n  }\n};\n\n// constructor polyfill\nif (!USE_NATIVE) {\n  // 25.4.3.1 Promise(executor)\n  $Promise = function Promise(executor) {\n    anInstance(this, $Promise, PROMISE, '_h');\n    aFunction(executor);\n    Internal.call(this);\n    try {\n      executor(ctx($resolve, this, 1), ctx($reject, this, 1));\n    } catch (err) {\n      $reject.call(this, err);\n    }\n  };\n  // eslint-disable-next-line no-unused-vars\n  Internal = function Promise(executor) {\n    this._c = [];             // <- awaiting reactions\n    this._a = undefined;      // <- checked in isUnhandled reactions\n    this._s = 0;              // <- state\n    this._d = false;          // <- done\n    this._v = undefined;      // <- value\n    this._h = 0;              // <- rejection state, 0 - default, 1 - handled, 2 - unhandled\n    this._n = false;          // <- notify\n  };\n  Internal.prototype = require('./_redefine-all')($Promise.prototype, {\n    // 25.4.5.3 Promise.prototype.then(onFulfilled, onRejected)\n    then: function then(onFulfilled, onRejected) {\n      var reaction = newPromiseCapability(speciesConstructor(this, $Promise));\n      reaction.ok = typeof onFulfilled == 'function' ? onFulfilled : true;\n      reaction.fail = typeof onRejected == 'function' && onRejected;\n      reaction.domain = isNode ? process.domain : undefined;\n      this._c.push(reaction);\n      if (this._a) this._a.push(reaction);\n      if (this._s) notify(this, false);\n      return reaction.promise;\n    },\n    // 25.4.5.1 Promise.prototype.catch(onRejected)\n    'catch': function (onRejected) {\n      return this.then(undefined, onRejected);\n    }\n  });\n  OwnPromiseCapability = function () {\n    var promise = new Internal();\n    this.promise = promise;\n    this.resolve = ctx($resolve, promise, 1);\n    this.reject = ctx($reject, promise, 1);\n  };\n  newPromiseCapabilityModule.f = newPromiseCapability = function (C) {\n    return C === $Promise || C === Wrapper\n      ? new OwnPromiseCapability(C)\n      : newGenericPromiseCapability(C);\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Promise: $Promise });\nrequire('./_set-to-string-tag')($Promise, PROMISE);\nrequire('./_set-species')(PROMISE);\nWrapper = require('./_core')[PROMISE];\n\n// statics\n$export($export.S + $export.F * !USE_NATIVE, PROMISE, {\n  // 25.4.4.5 Promise.reject(r)\n  reject: function reject(r) {\n    var capability = newPromiseCapability(this);\n    var $$reject = capability.reject;\n    $$reject(r);\n    return capability.promise;\n  }\n});\n$export($export.S + $export.F * (LIBRARY || !USE_NATIVE), PROMISE, {\n  // 25.4.4.6 Promise.resolve(x)\n  resolve: function resolve(x) {\n    return promiseResolve(LIBRARY && this === Wrapper ? $Promise : this, x);\n  }\n});\n$export($export.S + $export.F * !(USE_NATIVE && require('./_iter-detect')(function (iter) {\n  $Promise.all(iter)['catch'](empty);\n})), PROMISE, {\n  // 25.4.4.1 Promise.all(iterable)\n  all: function all(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var resolve = capability.resolve;\n    var reject = capability.reject;\n    var result = perform(function () {\n      var values = [];\n      var index = 0;\n      var remaining = 1;\n      forOf(iterable, false, function (promise) {\n        var $index = index++;\n        var alreadyCalled = false;\n        values.push(undefined);\n        remaining++;\n        C.resolve(promise).then(function (value) {\n          if (alreadyCalled) return;\n          alreadyCalled = true;\n          values[$index] = value;\n          --remaining || resolve(values);\n        }, reject);\n      });\n      --remaining || resolve(values);\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  },\n  // 25.4.4.4 Promise.race(iterable)\n  race: function race(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var reject = capability.reject;\n    var result = perform(function () {\n      forOf(iterable, false, function (promise) {\n        C.resolve(promise).then(capability.resolve, reject);\n      });\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  }\n});\n","'use strict';\n\nvar isRegExp = require('./_is-regexp');\nvar anObject = require('./_an-object');\nvar speciesConstructor = require('./_species-constructor');\nvar advanceStringIndex = require('./_advance-string-index');\nvar toLength = require('./_to-length');\nvar callRegExpExec = require('./_regexp-exec-abstract');\nvar regexpExec = require('./_regexp-exec');\nvar $min = Math.min;\nvar $push = [].push;\nvar $SPLIT = 'split';\nvar LENGTH = 'length';\nvar LAST_INDEX = 'lastIndex';\n\n// eslint-disable-next-line no-empty\nvar SUPPORTS_Y = !!(function () { try { return new RegExp('x', 'y'); } catch (e) {} })();\n\n// @@split logic\nrequire('./_fix-re-wks')('split', 2, function (defined, SPLIT, $split, maybeCallNative) {\n  var internalSplit;\n  if (\n    'abbc'[$SPLIT](/(b)*/)[1] == 'c' ||\n    'test'[$SPLIT](/(?:)/, -1)[LENGTH] != 4 ||\n    'ab'[$SPLIT](/(?:ab)*/)[LENGTH] != 2 ||\n    '.'[$SPLIT](/(.?)(.?)/)[LENGTH] != 4 ||\n    '.'[$SPLIT](/()()/)[LENGTH] > 1 ||\n    ''[$SPLIT](/.?/)[LENGTH]\n  ) {\n    // based on es5-shim implementation, need to rework it\n    internalSplit = function (separator, limit) {\n      var string = String(this);\n      if (separator === undefined && limit === 0) return [];\n      // If `separator` is not a regex, use native split\n      if (!isRegExp(separator)) return $split.call(string, separator, limit);\n      var output = [];\n      var flags = (separator.ignoreCase ? 'i' : '') +\n                  (separator.multiline ? 'm' : '') +\n                  (separator.unicode ? 'u' : '') +\n                  (separator.sticky ? 'y' : '');\n      var lastLastIndex = 0;\n      var splitLimit = limit === undefined ? 4294967295 : limit >>> 0;\n      // Make `global` and avoid `lastIndex` issues by working with a copy\n      var separatorCopy = new RegExp(separator.source, flags + 'g');\n      var match, lastIndex, lastLength;\n      while (match = regexpExec.call(separatorCopy, string)) {\n        lastIndex = separatorCopy[LAST_INDEX];\n        if (lastIndex > lastLastIndex) {\n          output.push(string.slice(lastLastIndex, match.index));\n          if (match[LENGTH] > 1 && match.index < string[LENGTH]) $push.apply(output, match.slice(1));\n          lastLength = match[0][LENGTH];\n          lastLastIndex = lastIndex;\n          if (output[LENGTH] >= splitLimit) break;\n        }\n        if (separatorCopy[LAST_INDEX] === match.index) separatorCopy[LAST_INDEX]++; // Avoid an infinite loop\n      }\n      if (lastLastIndex === string[LENGTH]) {\n        if (lastLength || !separatorCopy.test('')) output.push('');\n      } else output.push(string.slice(lastLastIndex));\n      return output[LENGTH] > splitLimit ? output.slice(0, splitLimit) : output;\n    };\n  // Chakra, V8\n  } else if ('0'[$SPLIT](undefined, 0)[LENGTH]) {\n    internalSplit = function (separator, limit) {\n      return separator === undefined && limit === 0 ? [] : $split.call(this, separator, limit);\n    };\n  } else {\n    internalSplit = $split;\n  }\n\n  return [\n    // `String.prototype.split` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.split\n    function split(separator, limit) {\n      var O = defined(this);\n      var splitter = separator == undefined ? undefined : separator[SPLIT];\n      return splitter !== undefined\n        ? splitter.call(separator, O, limit)\n        : internalSplit.call(String(O), separator, limit);\n    },\n    // `RegExp.prototype[@@split]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@split\n    //\n    // NOTE: This cannot be properly polyfilled in engines that don't support\n    // the 'y' flag.\n    function (regexp, limit) {\n      var res = maybeCallNative(internalSplit, regexp, this, limit, internalSplit !== $split);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var C = speciesConstructor(rx, RegExp);\n\n      var unicodeMatching = rx.unicode;\n      var flags = (rx.ignoreCase ? 'i' : '') +\n                    (rx.multiline ? 'm' : '') +\n                    (rx.unicode ? 'u' : '') +\n                    (SUPPORTS_Y ? 'y' : 'g');\n\n      // ^(? + rx + ) is needed, in combination with some S slicing, to\n      // simulate the 'y' flag.\n      var splitter = new C(SUPPORTS_Y ? rx : '^(?:' + rx.source + ')', flags);\n      var lim = limit === undefined ? 0xffffffff : limit >>> 0;\n      if (lim === 0) return [];\n      if (S.length === 0) return callRegExpExec(splitter, S) === null ? [S] : [];\n      var p = 0;\n      var q = 0;\n      var A = [];\n      while (q < S.length) {\n        splitter.lastIndex = SUPPORTS_Y ? q : 0;\n        var z = callRegExpExec(splitter, SUPPORTS_Y ? S : S.slice(q));\n        var e;\n        if (\n          z === null ||\n          (e = $min(toLength(splitter.lastIndex + (SUPPORTS_Y ? 0 : q)), S.length)) === p\n        ) {\n          q = advanceStringIndex(S, q, unicodeMatching);\n        } else {\n          A.push(S.slice(p, q));\n          if (A.length === lim) return A;\n          for (var i = 1; i <= z.length - 1; i++) {\n            A.push(z[i]);\n            if (A.length === lim) return A;\n          }\n          q = p = e;\n        }\n      }\n      A.push(S.slice(p));\n      return A;\n    }\n  ];\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar sameValue = require('./_same-value');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@search logic\nrequire('./_fix-re-wks')('search', 1, function (defined, SEARCH, $search, maybeCallNative) {\n  return [\n    // `String.prototype.search` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.search\n    function search(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[SEARCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[SEARCH](String(O));\n    },\n    // `RegExp.prototype[@@search]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@search\n    function (regexp) {\n      var res = maybeCallNative($search, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      var previousLastIndex = rx.lastIndex;\n      if (!sameValue(previousLastIndex, 0)) rx.lastIndex = 0;\n      var result = regExpExec(rx, S);\n      if (!sameValue(rx.lastIndex, previousLastIndex)) rx.lastIndex = previousLastIndex;\n      return result === null ? -1 : result.index;\n    }\n  ];\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\nvar max = Math.max;\nvar min = Math.min;\nvar floor = Math.floor;\nvar SUBSTITUTION_SYMBOLS = /\\$([$&`']|\\d\\d?|<[^>]*>)/g;\nvar SUBSTITUTION_SYMBOLS_NO_NAMED = /\\$([$&`']|\\d\\d?)/g;\n\nvar maybeToString = function (it) {\n  return it === undefined ? it : String(it);\n};\n\n// @@replace logic\nrequire('./_fix-re-wks')('replace', 2, function (defined, REPLACE, $replace, maybeCallNative) {\n  return [\n    // `String.prototype.replace` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.replace\n    function replace(searchValue, replaceValue) {\n      var O = defined(this);\n      var fn = searchValue == undefined ? undefined : searchValue[REPLACE];\n      return fn !== undefined\n        ? fn.call(searchValue, O, replaceValue)\n        : $replace.call(String(O), searchValue, replaceValue);\n    },\n    // `RegExp.prototype[@@replace]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@replace\n    function (regexp, replaceValue) {\n      var res = maybeCallNative($replace, regexp, this, replaceValue);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var functionalReplace = typeof replaceValue === 'function';\n      if (!functionalReplace) replaceValue = String(replaceValue);\n      var global = rx.global;\n      if (global) {\n        var fullUnicode = rx.unicode;\n        rx.lastIndex = 0;\n      }\n      var results = [];\n      while (true) {\n        var result = regExpExec(rx, S);\n        if (result === null) break;\n        results.push(result);\n        if (!global) break;\n        var matchStr = String(result[0]);\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n      }\n      var accumulatedResult = '';\n      var nextSourcePosition = 0;\n      for (var i = 0; i < results.length; i++) {\n        result = results[i];\n        var matched = String(result[0]);\n        var position = max(min(toInteger(result.index), S.length), 0);\n        var captures = [];\n        // NOTE: This is equivalent to\n        //   captures = result.slice(1).map(maybeToString)\n        // but for some reason `nativeSlice.call(result, 1, result.length)` (called in\n        // the slice polyfill when slicing native arrays) \"doesn't work\" in safari 9 and\n        // causes a crash (https://pastebin.com/N21QzeQA) when trying to debug it.\n        for (var j = 1; j < result.length; j++) captures.push(maybeToString(result[j]));\n        var namedCaptures = result.groups;\n        if (functionalReplace) {\n          var replacerArgs = [matched].concat(captures, position, S);\n          if (namedCaptures !== undefined) replacerArgs.push(namedCaptures);\n          var replacement = String(replaceValue.apply(undefined, replacerArgs));\n        } else {\n          replacement = getSubstitution(matched, S, position, captures, namedCaptures, replaceValue);\n        }\n        if (position >= nextSourcePosition) {\n          accumulatedResult += S.slice(nextSourcePosition, position) + replacement;\n          nextSourcePosition = position + matched.length;\n        }\n      }\n      return accumulatedResult + S.slice(nextSourcePosition);\n    }\n  ];\n\n    // https://tc39.github.io/ecma262/#sec-getsubstitution\n  function getSubstitution(matched, str, position, captures, namedCaptures, replacement) {\n    var tailPos = position + matched.length;\n    var m = captures.length;\n    var symbols = SUBSTITUTION_SYMBOLS_NO_NAMED;\n    if (namedCaptures !== undefined) {\n      namedCaptures = toObject(namedCaptures);\n      symbols = SUBSTITUTION_SYMBOLS;\n    }\n    return $replace.call(replacement, symbols, function (match, ch) {\n      var capture;\n      switch (ch.charAt(0)) {\n        case '$': return '$';\n        case '&': return matched;\n        case '`': return str.slice(0, position);\n        case \"'\": return str.slice(tailPos);\n        case '<':\n          capture = namedCaptures[ch.slice(1, -1)];\n          break;\n        default: // \\d\\d?\n          var n = +ch;\n          if (n === 0) return ch;\n          if (n > m) {\n            var f = floor(n / 10);\n            if (f === 0) return ch;\n            if (f <= m) return captures[f - 1] === undefined ? ch.charAt(1) : captures[f - 1] + ch.charAt(1);\n            return ch;\n          }\n          capture = captures[n - 1];\n      }\n      return capture === undefined ? '' : capture;\n    });\n  }\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@match logic\nrequire('./_fix-re-wks')('match', 1, function (defined, MATCH, $match, maybeCallNative) {\n  return [\n    // `String.prototype.match` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.match\n    function match(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[MATCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[MATCH](String(O));\n    },\n    // `RegExp.prototype[@@match]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@match\n    function (regexp) {\n      var res = maybeCallNative($match, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      if (!rx.global) return regExpExec(rx, S);\n      var fullUnicode = rx.unicode;\n      rx.lastIndex = 0;\n      var A = [];\n      var n = 0;\n      var result;\n      while ((result = regExpExec(rx, S)) !== null) {\n        var matchStr = String(result[0]);\n        A[n] = matchStr;\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n        n++;\n      }\n      return n === 0 ? null : A;\n    }\n  ];\n});\n","'use strict';\nrequire('./es6.regexp.flags');\nvar anObject = require('./_an-object');\nvar $flags = require('./_flags');\nvar DESCRIPTORS = require('./_descriptors');\nvar TO_STRING = 'toString';\nvar $toString = /./[TO_STRING];\n\nvar define = function (fn) {\n  require('./_redefine')(RegExp.prototype, TO_STRING, fn, true);\n};\n\n// 21.2.5.14 RegExp.prototype.toString()\nif (require('./_fails')(function () { return $toString.call({ source: 'a', flags: 'b' }) != '/a/b'; })) {\n  define(function toString() {\n    var R = anObject(this);\n    return '/'.concat(R.source, '/',\n      'flags' in R ? R.flags : !DESCRIPTORS && R instanceof RegExp ? $flags.call(R) : undefined);\n  });\n// FF44- RegExp#toString has a wrong name\n} else if ($toString.name != TO_STRING) {\n  define(function toString() {\n    return $toString.call(this);\n  });\n}\n","var global = require('./_global');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar dP = require('./_object-dp').f;\nvar gOPN = require('./_object-gopn').f;\nvar isRegExp = require('./_is-regexp');\nvar $flags = require('./_flags');\nvar $RegExp = global.RegExp;\nvar Base = $RegExp;\nvar proto = $RegExp.prototype;\nvar re1 = /a/g;\nvar re2 = /a/g;\n// \"new\" creates a new object, old webkit buggy here\nvar CORRECT_NEW = new $RegExp(re1) !== re1;\n\nif (require('./_descriptors') && (!CORRECT_NEW || require('./_fails')(function () {\n  re2[require('./_wks')('match')] = false;\n  // RegExp constructor can alter flags and IsRegExp works correct with @@match\n  return $RegExp(re1) != re1 || $RegExp(re2) == re2 || $RegExp(re1, 'i') != '/a/i';\n}))) {\n  $RegExp = function RegExp(p, f) {\n    var tiRE = this instanceof $RegExp;\n    var piRE = isRegExp(p);\n    var fiU = f === undefined;\n    return !tiRE && piRE && p.constructor === $RegExp && fiU ? p\n      : inheritIfRequired(CORRECT_NEW\n        ? new Base(piRE && !fiU ? p.source : p, f)\n        : Base((piRE = p instanceof $RegExp) ? p.source : p, piRE && fiU ? $flags.call(p) : f)\n      , tiRE ? this : proto, $RegExp);\n  };\n  var proxy = function (key) {\n    key in $RegExp || dP($RegExp, key, {\n      configurable: true,\n      get: function () { return Base[key]; },\n      set: function (it) { Base[key] = it; }\n    });\n  };\n  for (var keys = gOPN(Base), i = 0; keys.length > i;) proxy(keys[i++]);\n  proto.constructor = $RegExp;\n  $RegExp.prototype = proto;\n  require('./_redefine')(global, 'RegExp', $RegExp);\n}\n\nrequire('./_set-species')('RegExp');\n","require('./_set-species')('Array');\n","'use strict';\n// 22.1.3.9 Array.prototype.findIndex(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(6);\nvar KEY = 'findIndex';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  findIndex: function findIndex(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","'use strict';\n// 22.1.3.8 Array.prototype.find(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(5);\nvar KEY = 'find';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  find: function find(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { fill: require('./_array-fill') });\n\nrequire('./_add-to-unscopables')('fill');\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { copyWithin: require('./_array-copy-within') });\n\nrequire('./_add-to-unscopables')('copyWithin');\n","'use strict';\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar $native = [].lastIndexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].lastIndexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.14 / 15.4.4.15 Array.prototype.lastIndexOf(searchElement [, fromIndex])\n  lastIndexOf: function lastIndexOf(searchElement /* , fromIndex = @[*-1] */) {\n    // convert -0 to +0\n    if (NEGATIVE_ZERO) return $native.apply(this, arguments) || 0;\n    var O = toIObject(this);\n    var length = toLength(O.length);\n    var index = length - 1;\n    if (arguments.length > 1) index = Math.min(index, toInteger(arguments[1]));\n    if (index < 0) index = length + index;\n    for (;index >= 0; index--) if (index in O) if (O[index] === searchElement) return index || 0;\n    return -1;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $indexOf = require('./_array-includes')(false);\nvar $native = [].indexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].indexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.11 / 15.4.4.14 Array.prototype.indexOf(searchElement [, fromIndex])\n  indexOf: function indexOf(searchElement /* , fromIndex = 0 */) {\n    return NEGATIVE_ZERO\n      // convert -0 to +0\n      ? $native.apply(this, arguments) || 0\n      : $indexOf(this, searchElement, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduceRight, true), 'Array', {\n  // 22.1.3.19 / 15.4.4.22 Array.prototype.reduceRight(callbackfn [, initialValue])\n  reduceRight: function reduceRight(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], true);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduce, true), 'Array', {\n  // 22.1.3.18 / 15.4.4.21 Array.prototype.reduce(callbackfn [, initialValue])\n  reduce: function reduce(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], false);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $every = require('./_array-methods')(4);\n\n$export($export.P + $export.F * !require('./_strict-method')([].every, true), 'Array', {\n  // 22.1.3.5 / 15.4.4.16 Array.prototype.every(callbackfn [, thisArg])\n  every: function every(callbackfn /* , thisArg */) {\n    return $every(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $some = require('./_array-methods')(3);\n\n$export($export.P + $export.F * !require('./_strict-method')([].some, true), 'Array', {\n  // 22.1.3.23 / 15.4.4.17 Array.prototype.some(callbackfn [, thisArg])\n  some: function some(callbackfn /* , thisArg */) {\n    return $some(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $filter = require('./_array-methods')(2);\n\n$export($export.P + $export.F * !require('./_strict-method')([].filter, true), 'Array', {\n  // 22.1.3.7 / 15.4.4.20 Array.prototype.filter(callbackfn [, thisArg])\n  filter: function filter(callbackfn /* , thisArg */) {\n    return $filter(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $map = require('./_array-methods')(1);\n\n$export($export.P + $export.F * !require('./_strict-method')([].map, true), 'Array', {\n  // 22.1.3.15 / 15.4.4.19 Array.prototype.map(callbackfn [, thisArg])\n  map: function map(callbackfn /* , thisArg */) {\n    return $map(this, callbackfn, arguments[1]);\n  }\n});\n","var isObject = require('./_is-object');\nvar isArray = require('./_is-array');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (original) {\n  var C;\n  if (isArray(original)) {\n    C = original.constructor;\n    // cross-realm fallback\n    if (typeof C == 'function' && (C === Array || isArray(C.prototype))) C = undefined;\n    if (isObject(C)) {\n      C = C[SPECIES];\n      if (C === null) C = undefined;\n    }\n  } return C === undefined ? Array : C;\n};\n","'use strict';\nvar $export = require('./_export');\nvar $forEach = require('./_array-methods')(0);\nvar STRICT = require('./_strict-method')([].forEach, true);\n\n$export($export.P + $export.F * !STRICT, 'Array', {\n  // 22.1.3.10 / 15.4.4.18 Array.prototype.forEach(callbackfn [, thisArg])\n  forEach: function forEach(callbackfn /* , thisArg */) {\n    return $forEach(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar fails = require('./_fails');\nvar $sort = [].sort;\nvar test = [1, 2, 3];\n\n$export($export.P + $export.F * (fails(function () {\n  // IE8-\n  test.sort(undefined);\n}) || !fails(function () {\n  // V8 bug\n  test.sort(null);\n  // Old WebKit\n}) || !require('./_strict-method')($sort)), 'Array', {\n  // 22.1.3.25 Array.prototype.sort(comparefn)\n  sort: function sort(comparefn) {\n    return comparefn === undefined\n      ? $sort.call(toObject(this))\n      : $sort.call(toObject(this), aFunction(comparefn));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar html = require('./_html');\nvar cof = require('./_cof');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar arraySlice = [].slice;\n\n// fallback for not array-like ES3 strings and DOM objects\n$export($export.P + $export.F * require('./_fails')(function () {\n  if (html) arraySlice.call(html);\n}), 'Array', {\n  slice: function slice(begin, end) {\n    var len = toLength(this.length);\n    var klass = cof(this);\n    end = end === undefined ? len : end;\n    if (klass == 'Array') return arraySlice.call(this, begin, end);\n    var start = toAbsoluteIndex(begin, len);\n    var upTo = toAbsoluteIndex(end, len);\n    var size = toLength(upTo - start);\n    var cloned = new Array(size);\n    var i = 0;\n    for (; i < size; i++) cloned[i] = klass == 'String'\n      ? this.charAt(start + i)\n      : this[start + i];\n    return cloned;\n  }\n});\n","'use strict';\n// 22.1.3.13 Array.prototype.join(separator)\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar arrayJoin = [].join;\n\n// fallback for not array-like strings\n$export($export.P + $export.F * (require('./_iobject') != Object || !require('./_strict-method')(arrayJoin)), 'Array', {\n  join: function join(separator) {\n    return arrayJoin.call(toIObject(this), separator === undefined ? ',' : separator);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar createProperty = require('./_create-property');\n\n// WebKit Array.of isn't generic\n$export($export.S + $export.F * require('./_fails')(function () {\n  function F() { /* empty */ }\n  return !(Array.of.call(F) instanceof F);\n}), 'Array', {\n  // 22.1.2.3 Array.of( ...items)\n  of: function of(/* ...args */) {\n    var index = 0;\n    var aLen = arguments.length;\n    var result = new (typeof this == 'function' ? this : Array)(aLen);\n    while (aLen > index) createProperty(result, index, arguments[index++]);\n    result.length = aLen;\n    return result;\n  }\n});\n","'use strict';\nvar ctx = require('./_ctx');\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar toLength = require('./_to-length');\nvar createProperty = require('./_create-property');\nvar getIterFn = require('./core.get-iterator-method');\n\n$export($export.S + $export.F * !require('./_iter-detect')(function (iter) { Array.from(iter); }), 'Array', {\n  // 22.1.2.1 Array.from(arrayLike, mapfn = undefined, thisArg = undefined)\n  from: function from(arrayLike /* , mapfn = undefined, thisArg = undefined */) {\n    var O = toObject(arrayLike);\n    var C = typeof this == 'function' ? this : Array;\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var index = 0;\n    var iterFn = getIterFn(O);\n    var length, result, step, iterator;\n    if (mapping) mapfn = ctx(mapfn, aLen > 2 ? arguments[2] : undefined, 2);\n    // if object isn't iterable or it's array with default iterator - use simple case\n    if (iterFn != undefined && !(C == Array && isArrayIter(iterFn))) {\n      for (iterator = iterFn.call(O), result = new C(); !(step = iterator.next()).done; index++) {\n        createProperty(result, index, mapping ? call(iterator, mapfn, [step.value, index], true) : step.value);\n      }\n    } else {\n      length = toLength(O.length);\n      for (result = new C(length); length > index; index++) {\n        createProperty(result, index, mapping ? mapfn(O[index], index) : O[index]);\n      }\n    }\n    result.length = index;\n    return result;\n  }\n});\n","// 22.1.2.2 / 15.4.3.2 Array.isArray(arg)\nvar $export = require('./_export');\n\n$export($export.S, 'Array', { isArray: require('./_is-array') });\n","'use strict';\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\nvar NUMBER = 'number';\n\nmodule.exports = function (hint) {\n  if (hint !== 'string' && hint !== NUMBER && hint !== 'default') throw TypeError('Incorrect hint');\n  return toPrimitive(anObject(this), hint != NUMBER);\n};\n","var TO_PRIMITIVE = require('./_wks')('toPrimitive');\nvar proto = Date.prototype;\n\nif (!(TO_PRIMITIVE in proto)) require('./_hide')(proto, TO_PRIMITIVE, require('./_date-to-primitive'));\n","var DateProto = Date.prototype;\nvar INVALID_DATE = 'Invalid Date';\nvar TO_STRING = 'toString';\nvar $toString = DateProto[TO_STRING];\nvar getTime = DateProto.getTime;\nif (new Date(NaN) + '' != INVALID_DATE) {\n  require('./_redefine')(DateProto, TO_STRING, function toString() {\n    var value = getTime.call(this);\n    // eslint-disable-next-line no-self-compare\n    return value === value ? $toString.call(this) : INVALID_DATE;\n  });\n}\n","'use strict';\n// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar fails = require('./_fails');\nvar getTime = Date.prototype.getTime;\nvar $toISOString = Date.prototype.toISOString;\n\nvar lz = function (num) {\n  return num > 9 ? num : '0' + num;\n};\n\n// PhantomJS / old WebKit has a broken implementations\nmodule.exports = (fails(function () {\n  return $toISOString.call(new Date(-5e13 - 1)) != '0385-07-25T07:06:39.999Z';\n}) || !fails(function () {\n  $toISOString.call(new Date(NaN));\n})) ? function toISOString() {\n  if (!isFinite(getTime.call(this))) throw RangeError('Invalid time value');\n  var d = this;\n  var y = d.getUTCFullYear();\n  var m = d.getUTCMilliseconds();\n  var s = y < 0 ? '-' : y > 9999 ? '+' : '';\n  return s + ('00000' + Math.abs(y)).slice(s ? -6 : -4) +\n    '-' + lz(d.getUTCMonth() + 1) + '-' + lz(d.getUTCDate()) +\n    'T' + lz(d.getUTCHours()) + ':' + lz(d.getUTCMinutes()) +\n    ':' + lz(d.getUTCSeconds()) + '.' + (m > 99 ? m : '0' + lz(m)) + 'Z';\n} : $toISOString;\n","// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar $export = require('./_export');\nvar toISOString = require('./_date-to-iso-string');\n\n// PhantomJS / old WebKit has a broken implementations\n$export($export.P + $export.F * (Date.prototype.toISOString !== toISOString), 'Date', {\n  toISOString: toISOString\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\n\n$export($export.P + $export.F * require('./_fails')(function () {\n  return new Date(NaN).toJSON() !== null\n    || Date.prototype.toJSON.call({ toISOString: function () { return 1; } }) !== 1;\n}), 'Date', {\n  // eslint-disable-next-line no-unused-vars\n  toJSON: function toJSON(key) {\n    var O = toObject(this);\n    var pv = toPrimitive(O);\n    return typeof pv == 'number' && !isFinite(pv) ? null : O.toISOString();\n  }\n});\n","// 20.3.3.1 / 15.9.4.4 Date.now()\nvar $export = require('./_export');\n\n$export($export.S, 'Date', { now: function () { return new Date().getTime(); } });\n","'use strict';\n// B.2.3.14 String.prototype.sup()\nrequire('./_string-html')('sup', function (createHTML) {\n  return function sup() {\n    return createHTML(this, 'sup', '', '');\n  };\n});\n","'use strict';\n// B.2.3.13 String.prototype.sub()\nrequire('./_string-html')('sub', function (createHTML) {\n  return function sub() {\n    return createHTML(this, 'sub', '', '');\n  };\n});\n","'use strict';\n// B.2.3.12 String.prototype.strike()\nrequire('./_string-html')('strike', function (createHTML) {\n  return function strike() {\n    return createHTML(this, 'strike', '', '');\n  };\n});\n","'use strict';\n// B.2.3.11 String.prototype.small()\nrequire('./_string-html')('small', function (createHTML) {\n  return function small() {\n    return createHTML(this, 'small', '', '');\n  };\n});\n","'use strict';\n// B.2.3.10 String.prototype.link(url)\nrequire('./_string-html')('link', function (createHTML) {\n  return function link(url) {\n    return createHTML(this, 'a', 'href', url);\n  };\n});\n","'use strict';\n// B.2.3.9 String.prototype.italics()\nrequire('./_string-html')('italics', function (createHTML) {\n  return function italics() {\n    return createHTML(this, 'i', '', '');\n  };\n});\n","'use strict';\n// B.2.3.8 String.prototype.fontsize(size)\nrequire('./_string-html')('fontsize', function (createHTML) {\n  return function fontsize(size) {\n    return createHTML(this, 'font', 'size', size);\n  };\n});\n","'use strict';\n// B.2.3.7 String.prototype.fontcolor(color)\nrequire('./_string-html')('fontcolor', function (createHTML) {\n  return function fontcolor(color) {\n    return createHTML(this, 'font', 'color', color);\n  };\n});\n","'use strict';\n// B.2.3.6 String.prototype.fixed()\nrequire('./_string-html')('fixed', function (createHTML) {\n  return function fixed() {\n    return createHTML(this, 'tt', '', '');\n  };\n});\n","'use strict';\n// B.2.3.5 String.prototype.bold()\nrequire('./_string-html')('bold', function (createHTML) {\n  return function bold() {\n    return createHTML(this, 'b', '', '');\n  };\n});\n","'use strict';\n// B.2.3.4 String.prototype.blink()\nrequire('./_string-html')('blink', function (createHTML) {\n  return function blink() {\n    return createHTML(this, 'blink', '', '');\n  };\n});\n","'use strict';\n// B.2.3.3 String.prototype.big()\nrequire('./_string-html')('big', function (createHTML) {\n  return function big() {\n    return createHTML(this, 'big', '', '');\n  };\n});\n","'use strict';\n// B.2.3.2 String.prototype.anchor(name)\nrequire('./_string-html')('anchor', function (createHTML) {\n  return function anchor(name) {\n    return createHTML(this, 'a', 'name', name);\n  };\n});\n","// 21.1.3.18 String.prototype.startsWith(searchString [, position ])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar STARTS_WITH = 'startsWith';\nvar $startsWith = ''[STARTS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(STARTS_WITH), 'String', {\n  startsWith: function startsWith(searchString /* , position = 0 */) {\n    var that = context(this, searchString, STARTS_WITH);\n    var index = toLength(Math.min(arguments.length > 1 ? arguments[1] : undefined, that.length));\n    var search = String(searchString);\n    return $startsWith\n      ? $startsWith.call(that, search, index)\n      : that.slice(index, index + search.length) === search;\n  }\n});\n","var $export = require('./_export');\n\n$export($export.P, 'String', {\n  // 21.1.3.13 String.prototype.repeat(count)\n  repeat: require('./_string-repeat')\n});\n","// 21.1.3.7 String.prototype.includes(searchString, position = 0)\n'use strict';\nvar $export = require('./_export');\nvar context = require('./_string-context');\nvar INCLUDES = 'includes';\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(INCLUDES), 'String', {\n  includes: function includes(searchString /* , position = 0 */) {\n    return !!~context(this, searchString, INCLUDES)\n      .indexOf(searchString, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n","// 21.1.3.6 String.prototype.endsWith(searchString [, endPosition])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar ENDS_WITH = 'endsWith';\nvar $endsWith = ''[ENDS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(ENDS_WITH), 'String', {\n  endsWith: function endsWith(searchString /* , endPosition = @length */) {\n    var that = context(this, searchString, ENDS_WITH);\n    var endPosition = arguments.length > 1 ? arguments[1] : undefined;\n    var len = toLength(that.length);\n    var end = endPosition === undefined ? len : Math.min(toLength(endPosition), len);\n    var search = String(searchString);\n    return $endsWith\n      ? $endsWith.call(that, search, end)\n      : that.slice(end - search.length, end) === search;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $at = require('./_string-at')(false);\n$export($export.P, 'String', {\n  // 21.1.3.3 String.prototype.codePointAt(pos)\n  codePointAt: function codePointAt(pos) {\n    return $at(this, pos);\n  }\n});\n","'use strict';\nvar $at = require('./_string-at')(true);\n\n// 21.1.3.27 String.prototype[@@iterator]()\nrequire('./_iter-define')(String, 'String', function (iterated) {\n  this._t = String(iterated); // target\n  this._i = 0;                // next index\n// 21.1.5.2.1 %StringIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var index = this._i;\n  var point;\n  if (index >= O.length) return { value: undefined, done: true };\n  point = $at(O, index);\n  this._i += point.length;\n  return { value: point, done: false };\n});\n","'use strict';\n// 21.1.3.25 String.prototype.trim()\nrequire('./_string-trim')('trim', function ($trim) {\n  return function trim() {\n    return $trim(this, 3);\n  };\n});\n","var $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\n\n$export($export.S, 'String', {\n  // 21.1.2.4 String.raw(callSite, ...substitutions)\n  raw: function raw(callSite) {\n    var tpl = toIObject(callSite.raw);\n    var len = toLength(tpl.length);\n    var aLen = arguments.length;\n    var res = [];\n    var i = 0;\n    while (len > i) {\n      res.push(String(tpl[i++]));\n      if (i < aLen) res.push(String(arguments[i]));\n    } return res.join('');\n  }\n});\n","var $export = require('./_export');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar fromCharCode = String.fromCharCode;\nvar $fromCodePoint = String.fromCodePoint;\n\n// length should be 1, old FF problem\n$export($export.S + $export.F * (!!$fromCodePoint && $fromCodePoint.length != 1), 'String', {\n  // 21.1.2.2 String.fromCodePoint(...codePoints)\n  fromCodePoint: function fromCodePoint(x) { // eslint-disable-line no-unused-vars\n    var res = [];\n    var aLen = arguments.length;\n    var i = 0;\n    var code;\n    while (aLen > i) {\n      code = +arguments[i++];\n      if (toAbsoluteIndex(code, 0x10ffff) !== code) throw RangeError(code + ' is not a valid code point');\n      res.push(code < 0x10000\n        ? fromCharCode(code)\n        : fromCharCode(((code -= 0x10000) >> 10) + 0xd800, code % 0x400 + 0xdc00)\n      );\n    } return res.join('');\n  }\n});\n","// 20.2.2.34 Math.trunc(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  trunc: function trunc(it) {\n    return (it > 0 ? Math.floor : Math.ceil)(it);\n  }\n});\n","// 20.2.2.33 Math.tanh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  tanh: function tanh(x) {\n    var a = expm1(x = +x);\n    var b = expm1(-x);\n    return a == Infinity ? 1 : b == Infinity ? -1 : (a - b) / (exp(x) + exp(-x));\n  }\n});\n","// 20.2.2.30 Math.sinh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n// V8 near Chromium 38 has a problem with very small numbers\n$export($export.S + $export.F * require('./_fails')(function () {\n  return !Math.sinh(-2e-17) != -2e-17;\n}), 'Math', {\n  sinh: function sinh(x) {\n    return Math.abs(x = +x) < 1\n      ? (expm1(x) - expm1(-x)) / 2\n      : (exp(x - 1) - exp(-x - 1)) * (Math.E / 2);\n  }\n});\n","// 20.2.2.28 Math.sign(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { sign: require('./_math-sign') });\n","// 20.2.2.22 Math.log2(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log2: function log2(x) {\n    return Math.log(x) / Math.LN2;\n  }\n});\n","// 20.2.2.20 Math.log1p(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { log1p: require('./_math-log1p') });\n","// 20.2.2.21 Math.log10(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log10: function log10(x) {\n    return Math.log(x) * Math.LOG10E;\n  }\n});\n","// 20.2.2.18 Math.imul(x, y)\nvar $export = require('./_export');\nvar $imul = Math.imul;\n\n// some WebKit versions fails with big numbers, some has wrong arity\n$export($export.S + $export.F * require('./_fails')(function () {\n  return $imul(0xffffffff, 5) != -5 || $imul.length != 2;\n}), 'Math', {\n  imul: function imul(x, y) {\n    var UINT16 = 0xffff;\n    var xn = +x;\n    var yn = +y;\n    var xl = UINT16 & xn;\n    var yl = UINT16 & yn;\n    return 0 | xl * yl + ((UINT16 & xn >>> 16) * yl + xl * (UINT16 & yn >>> 16) << 16 >>> 0);\n  }\n});\n","// 20.2.2.17 Math.hypot([value1[, value2[, … ]]])\nvar $export = require('./_export');\nvar abs = Math.abs;\n\n$export($export.S, 'Math', {\n  hypot: function hypot(value1, value2) { // eslint-disable-line no-unused-vars\n    var sum = 0;\n    var i = 0;\n    var aLen = arguments.length;\n    var larg = 0;\n    var arg, div;\n    while (i < aLen) {\n      arg = abs(arguments[i++]);\n      if (larg < arg) {\n        div = larg / arg;\n        sum = sum * div * div + 1;\n        larg = arg;\n      } else if (arg > 0) {\n        div = arg / larg;\n        sum += div * div;\n      } else sum += arg;\n    }\n    return larg === Infinity ? Infinity : larg * Math.sqrt(sum);\n  }\n});\n","// 20.2.2.16 Math.fround(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { fround: require('./_math-fround') });\n","// 20.2.2.14 Math.expm1(x)\nvar $export = require('./_export');\nvar $expm1 = require('./_math-expm1');\n\n$export($export.S + $export.F * ($expm1 != Math.expm1), 'Math', { expm1: $expm1 });\n","// 20.2.2.12 Math.cosh(x)\nvar $export = require('./_export');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  cosh: function cosh(x) {\n    return (exp(x = +x) + exp(-x)) / 2;\n  }\n});\n","// 20.2.2.11 Math.clz32(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clz32: function clz32(x) {\n    return (x >>>= 0) ? 31 - Math.floor(Math.log(x + 0.5) * Math.LOG2E) : 32;\n  }\n});\n","// 20.2.2.9 Math.cbrt(x)\nvar $export = require('./_export');\nvar sign = require('./_math-sign');\n\n$export($export.S, 'Math', {\n  cbrt: function cbrt(x) {\n    return sign(x = +x) * Math.pow(Math.abs(x), 1 / 3);\n  }\n});\n","// 20.2.2.7 Math.atanh(x)\nvar $export = require('./_export');\nvar $atanh = Math.atanh;\n\n// Tor Browser bug: Math.atanh(-0) -> 0\n$export($export.S + $export.F * !($atanh && 1 / $atanh(-0) < 0), 'Math', {\n  atanh: function atanh(x) {\n    return (x = +x) == 0 ? x : Math.log((1 + x) / (1 - x)) / 2;\n  }\n});\n","// 20.2.2.5 Math.asinh(x)\nvar $export = require('./_export');\nvar $asinh = Math.asinh;\n\nfunction asinh(x) {\n  return !isFinite(x = +x) || x == 0 ? x : x < 0 ? -asinh(-x) : Math.log(x + Math.sqrt(x * x + 1));\n}\n\n// Tor Browser bug: Math.asinh(0) -> -0\n$export($export.S + $export.F * !($asinh && 1 / $asinh(0) > 0), 'Math', { asinh: asinh });\n","// 20.2.2.3 Math.acosh(x)\nvar $export = require('./_export');\nvar log1p = require('./_math-log1p');\nvar sqrt = Math.sqrt;\nvar $acosh = Math.acosh;\n\n$export($export.S + $export.F * !($acosh\n  // V8 bug: https://code.google.com/p/v8/issues/detail?id=3509\n  && Math.floor($acosh(Number.MAX_VALUE)) == 710\n  // Tor Browser bug: Math.acosh(Infinity) -> NaN\n  && $acosh(Infinity) == Infinity\n), 'Math', {\n  acosh: function acosh(x) {\n    return (x = +x) < 1 ? NaN : x > 94906265.62425156\n      ? Math.log(x) + Math.LN2\n      : log1p(x - 1 + sqrt(x - 1) * sqrt(x + 1));\n  }\n});\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 20.1.2.13 Number.parseInt(string, radix)\n$export($export.S + $export.F * (Number.parseInt != $parseInt), 'Number', { parseInt: $parseInt });\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 20.1.2.12 Number.parseFloat(string)\n$export($export.S + $export.F * (Number.parseFloat != $parseFloat), 'Number', { parseFloat: $parseFloat });\n","// 20.1.2.10 Number.MIN_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MIN_SAFE_INTEGER: -0x1fffffffffffff });\n","// 20.1.2.6 Number.MAX_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MAX_SAFE_INTEGER: 0x1fffffffffffff });\n","// 20.1.2.5 Number.isSafeInteger(number)\nvar $export = require('./_export');\nvar isInteger = require('./_is-integer');\nvar abs = Math.abs;\n\n$export($export.S, 'Number', {\n  isSafeInteger: function isSafeInteger(number) {\n    return isInteger(number) && abs(number) <= 0x1fffffffffffff;\n  }\n});\n","// 20.1.2.4 Number.isNaN(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', {\n  isNaN: function isNaN(number) {\n    // eslint-disable-next-line no-self-compare\n    return number != number;\n  }\n});\n","// 20.1.2.3 Number.isInteger(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { isInteger: require('./_is-integer') });\n","// 20.1.2.2 Number.isFinite(number)\nvar $export = require('./_export');\nvar _isFinite = require('./_global').isFinite;\n\n$export($export.S, 'Number', {\n  isFinite: function isFinite(it) {\n    return typeof it == 'number' && _isFinite(it);\n  }\n});\n","// 20.1.2.1 Number.EPSILON\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { EPSILON: Math.pow(2, -52) });\n","'use strict';\nvar $export = require('./_export');\nvar $fails = require('./_fails');\nvar aNumberValue = require('./_a-number-value');\nvar $toPrecision = 1.0.toPrecision;\n\n$export($export.P + $export.F * ($fails(function () {\n  // IE7-\n  return $toPrecision.call(1, undefined) !== '1';\n}) || !$fails(function () {\n  // V8 ~ Android 4.3-\n  $toPrecision.call({});\n})), 'Number', {\n  toPrecision: function toPrecision(precision) {\n    var that = aNumberValue(this, 'Number#toPrecision: incorrect invocation!');\n    return precision === undefined ? $toPrecision.call(that) : $toPrecision.call(that, precision);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toInteger = require('./_to-integer');\nvar aNumberValue = require('./_a-number-value');\nvar repeat = require('./_string-repeat');\nvar $toFixed = 1.0.toFixed;\nvar floor = Math.floor;\nvar data = [0, 0, 0, 0, 0, 0];\nvar ERROR = 'Number.toFixed: incorrect invocation!';\nvar ZERO = '0';\n\nvar multiply = function (n, c) {\n  var i = -1;\n  var c2 = c;\n  while (++i < 6) {\n    c2 += n * data[i];\n    data[i] = c2 % 1e7;\n    c2 = floor(c2 / 1e7);\n  }\n};\nvar divide = function (n) {\n  var i = 6;\n  var c = 0;\n  while (--i >= 0) {\n    c += data[i];\n    data[i] = floor(c / n);\n    c = (c % n) * 1e7;\n  }\n};\nvar numToString = function () {\n  var i = 6;\n  var s = '';\n  while (--i >= 0) {\n    if (s !== '' || i === 0 || data[i] !== 0) {\n      var t = String(data[i]);\n      s = s === '' ? t : s + repeat.call(ZERO, 7 - t.length) + t;\n    }\n  } return s;\n};\nvar pow = function (x, n, acc) {\n  return n === 0 ? acc : n % 2 === 1 ? pow(x, n - 1, acc * x) : pow(x * x, n / 2, acc);\n};\nvar log = function (x) {\n  var n = 0;\n  var x2 = x;\n  while (x2 >= 4096) {\n    n += 12;\n    x2 /= 4096;\n  }\n  while (x2 >= 2) {\n    n += 1;\n    x2 /= 2;\n  } return n;\n};\n\n$export($export.P + $export.F * (!!$toFixed && (\n  0.00008.toFixed(3) !== '0.000' ||\n  0.9.toFixed(0) !== '1' ||\n  1.255.toFixed(2) !== '1.25' ||\n  1000000000000000128.0.toFixed(0) !== '1000000000000000128'\n) || !require('./_fails')(function () {\n  // V8 ~ Android 4.3-\n  $toFixed.call({});\n})), 'Number', {\n  toFixed: function toFixed(fractionDigits) {\n    var x = aNumberValue(this, ERROR);\n    var f = toInteger(fractionDigits);\n    var s = '';\n    var m = ZERO;\n    var e, z, j, k;\n    if (f < 0 || f > 20) throw RangeError(ERROR);\n    // eslint-disable-next-line no-self-compare\n    if (x != x) return 'NaN';\n    if (x <= -1e21 || x >= 1e21) return String(x);\n    if (x < 0) {\n      s = '-';\n      x = -x;\n    }\n    if (x > 1e-21) {\n      e = log(x * pow(2, 69, 1)) - 69;\n      z = e < 0 ? x * pow(2, -e, 1) : x / pow(2, e, 1);\n      z *= 0x10000000000000;\n      e = 52 - e;\n      if (e > 0) {\n        multiply(0, z);\n        j = f;\n        while (j >= 7) {\n          multiply(1e7, 0);\n          j -= 7;\n        }\n        multiply(pow(10, j, 1), 0);\n        j = e - 1;\n        while (j >= 23) {\n          divide(1 << 23);\n          j -= 23;\n        }\n        divide(1 << j);\n        multiply(1, 1);\n        divide(2);\n        m = numToString();\n      } else {\n        multiply(0, z);\n        multiply(1 << -e, 0);\n        m = numToString() + repeat.call(ZERO, f);\n      }\n    }\n    if (f > 0) {\n      k = m.length;\n      m = s + (k <= f ? '0.' + repeat.call(ZERO, f - k) + m : m.slice(0, k - f) + '.' + m.slice(k - f));\n    } else {\n      m = s + m;\n    } return m;\n  }\n});\n","'use strict';\nvar global = require('./_global');\nvar has = require('./_has');\nvar cof = require('./_cof');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar toPrimitive = require('./_to-primitive');\nvar fails = require('./_fails');\nvar gOPN = require('./_object-gopn').f;\nvar gOPD = require('./_object-gopd').f;\nvar dP = require('./_object-dp').f;\nvar $trim = require('./_string-trim').trim;\nvar NUMBER = 'Number';\nvar $Number = global[NUMBER];\nvar Base = $Number;\nvar proto = $Number.prototype;\n// Opera ~12 has broken Object#toString\nvar BROKEN_COF = cof(require('./_object-create')(proto)) == NUMBER;\nvar TRIM = 'trim' in String.prototype;\n\n// 7.1.3 ToNumber(argument)\nvar toNumber = function (argument) {\n  var it = toPrimitive(argument, false);\n  if (typeof it == 'string' && it.length > 2) {\n    it = TRIM ? it.trim() : $trim(it, 3);\n    var first = it.charCodeAt(0);\n    var third, radix, maxCode;\n    if (first === 43 || first === 45) {\n      third = it.charCodeAt(2);\n      if (third === 88 || third === 120) return NaN; // Number('+0x1') should be NaN, old V8 fix\n    } else if (first === 48) {\n      switch (it.charCodeAt(1)) {\n        case 66: case 98: radix = 2; maxCode = 49; break; // fast equal /^0b[01]+$/i\n        case 79: case 111: radix = 8; maxCode = 55; break; // fast equal /^0o[0-7]+$/i\n        default: return +it;\n      }\n      for (var digits = it.slice(2), i = 0, l = digits.length, code; i < l; i++) {\n        code = digits.charCodeAt(i);\n        // parseInt parses a string to a first unavailable symbol\n        // but ToNumber should return NaN if a string contains unavailable symbols\n        if (code < 48 || code > maxCode) return NaN;\n      } return parseInt(digits, radix);\n    }\n  } return +it;\n};\n\nif (!$Number(' 0o1') || !$Number('0b1') || $Number('+0x1')) {\n  $Number = function Number(value) {\n    var it = arguments.length < 1 ? 0 : value;\n    var that = this;\n    return that instanceof $Number\n      // check on 1..constructor(foo) case\n      && (BROKEN_COF ? fails(function () { proto.valueOf.call(that); }) : cof(that) != NUMBER)\n        ? inheritIfRequired(new Base(toNumber(it)), that, $Number) : toNumber(it);\n  };\n  for (var keys = require('./_descriptors') ? gOPN(Base) : (\n    // ES3:\n    'MAX_VALUE,MIN_VALUE,NaN,NEGATIVE_INFINITY,POSITIVE_INFINITY,' +\n    // ES6 (in case, if modules with ES6 Number statics required before):\n    'EPSILON,isFinite,isInteger,isNaN,isSafeInteger,MAX_SAFE_INTEGER,' +\n    'MIN_SAFE_INTEGER,parseFloat,parseInt,isInteger'\n  ).split(','), j = 0, key; keys.length > j; j++) {\n    if (has(Base, key = keys[j]) && !has($Number, key)) {\n      dP($Number, key, gOPD(Base, key));\n    }\n  }\n  $Number.prototype = proto;\n  proto.constructor = $Number;\n  require('./_redefine')(global, NUMBER, $Number);\n}\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 18.2.4 parseFloat(string)\n$export($export.G + $export.F * (parseFloat != $parseFloat), { parseFloat: $parseFloat });\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 18.2.5 parseInt(string, radix)\n$export($export.G + $export.F * (parseInt != $parseInt), { parseInt: $parseInt });\n","'use strict';\nvar isObject = require('./_is-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar HAS_INSTANCE = require('./_wks')('hasInstance');\nvar FunctionProto = Function.prototype;\n// 19.2.3.6 Function.prototype[@@hasInstance](V)\nif (!(HAS_INSTANCE in FunctionProto)) require('./_object-dp').f(FunctionProto, HAS_INSTANCE, { value: function (O) {\n  if (typeof this != 'function' || !isObject(O)) return false;\n  if (!isObject(this.prototype)) return O instanceof this;\n  // for environment w/o native `@@hasInstance` logic enough `instanceof`, but add this:\n  while (O = getPrototypeOf(O)) if (this.prototype === O) return true;\n  return false;\n} });\n","var dP = require('./_object-dp').f;\nvar FProto = Function.prototype;\nvar nameRE = /^\\s*function ([^ (]*)/;\nvar NAME = 'name';\n\n// 19.2.4.2 name\nNAME in FProto || require('./_descriptors') && dP(FProto, NAME, {\n  configurable: true,\n  get: function () {\n    try {\n      return ('' + this).match(nameRE)[1];\n    } catch (e) {\n      return '';\n    }\n  }\n});\n","// 19.2.3.2 / 15.3.4.5 Function.prototype.bind(thisArg, args...)\nvar $export = require('./_export');\n\n$export($export.P, 'Function', { bind: require('./_bind') });\n","'use strict';\n// 19.1.3.6 Object.prototype.toString()\nvar classof = require('./_classof');\nvar test = {};\ntest[require('./_wks')('toStringTag')] = 'z';\nif (test + '' != '[object z]') {\n  require('./_redefine')(Object.prototype, 'toString', function toString() {\n    return '[object ' + classof(this) + ']';\n  }, true);\n}\n","// 19.1.3.19 Object.setPrototypeOf(O, proto)\nvar $export = require('./_export');\n$export($export.S, 'Object', { setPrototypeOf: require('./_set-proto').set });\n","// 19.1.3.10 Object.is(value1, value2)\nvar $export = require('./_export');\n$export($export.S, 'Object', { is: require('./_same-value') });\n","// 19.1.3.1 Object.assign(target, source)\nvar $export = require('./_export');\n\n$export($export.S + $export.F, 'Object', { assign: require('./_object-assign') });\n","// 19.1.2.11 Object.isExtensible(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isExtensible', function ($isExtensible) {\n  return function isExtensible(it) {\n    return isObject(it) ? $isExtensible ? $isExtensible(it) : true : false;\n  };\n});\n","// 19.1.2.13 Object.isSealed(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isSealed', function ($isSealed) {\n  return function isSealed(it) {\n    return isObject(it) ? $isSealed ? $isSealed(it) : false : true;\n  };\n});\n","// 19.1.2.12 Object.isFrozen(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isFrozen', function ($isFrozen) {\n  return function isFrozen(it) {\n    return isObject(it) ? $isFrozen ? $isFrozen(it) : false : true;\n  };\n});\n","// 19.1.2.15 Object.preventExtensions(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('preventExtensions', function ($preventExtensions) {\n  return function preventExtensions(it) {\n    return $preventExtensions && isObject(it) ? $preventExtensions(meta(it)) : it;\n  };\n});\n","// 19.1.2.17 Object.seal(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('seal', function ($seal) {\n  return function seal(it) {\n    return $seal && isObject(it) ? $seal(meta(it)) : it;\n  };\n});\n","// 19.1.2.5 Object.freeze(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('freeze', function ($freeze) {\n  return function freeze(it) {\n    return $freeze && isObject(it) ? $freeze(meta(it)) : it;\n  };\n});\n","// 19.1.2.7 Object.getOwnPropertyNames(O)\nrequire('./_object-sap')('getOwnPropertyNames', function () {\n  return require('./_object-gopn-ext').f;\n});\n","// 19.1.2.14 Object.keys(O)\nvar toObject = require('./_to-object');\nvar $keys = require('./_object-keys');\n\nrequire('./_object-sap')('keys', function () {\n  return function keys(it) {\n    return $keys(toObject(it));\n  };\n});\n","// 19.1.2.9 Object.getPrototypeOf(O)\nvar toObject = require('./_to-object');\nvar $getPrototypeOf = require('./_object-gpo');\n\nrequire('./_object-sap')('getPrototypeOf', function () {\n  return function getPrototypeOf(it) {\n    return $getPrototypeOf(toObject(it));\n  };\n});\n","// 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\nvar toIObject = require('./_to-iobject');\nvar $getOwnPropertyDescriptor = require('./_object-gopd').f;\n\nrequire('./_object-sap')('getOwnPropertyDescriptor', function () {\n  return function getOwnPropertyDescriptor(it, key) {\n    return $getOwnPropertyDescriptor(toIObject(it), key);\n  };\n});\n","var $export = require('./_export');\n// 19.1.2.3 / 15.2.3.7 Object.defineProperties(O, Properties)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperties: require('./_object-dps') });\n","var $export = require('./_export');\n// 19.1.2.4 / 15.2.3.6 Object.defineProperty(O, P, Attributes)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperty: require('./_object-dp').f });\n","var $export = require('./_export');\n// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\n$export($export.S, 'Object', { create: require('./_object-create') });\n","// all enumerable object keys, includes symbols\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nmodule.exports = function (it) {\n  var result = getKeys(it);\n  var getSymbols = gOPS.f;\n  if (getSymbols) {\n    var symbols = getSymbols(it);\n    var isEnum = pIE.f;\n    var i = 0;\n    var key;\n    while (symbols.length > i) if (isEnum.call(it, key = symbols[i++])) result.push(key);\n  } return result;\n};\n","'use strict';\n// ECMAScript 6 symbols shim\nvar global = require('./_global');\nvar has = require('./_has');\nvar DESCRIPTORS = require('./_descriptors');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar META = require('./_meta').KEY;\nvar $fails = require('./_fails');\nvar shared = require('./_shared');\nvar setToStringTag = require('./_set-to-string-tag');\nvar uid = require('./_uid');\nvar wks = require('./_wks');\nvar wksExt = require('./_wks-ext');\nvar wksDefine = require('./_wks-define');\nvar enumKeys = require('./_enum-keys');\nvar isArray = require('./_is-array');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar createDesc = require('./_property-desc');\nvar _create = require('./_object-create');\nvar gOPNExt = require('./_object-gopn-ext');\nvar $GOPD = require('./_object-gopd');\nvar $DP = require('./_object-dp');\nvar $keys = require('./_object-keys');\nvar gOPD = $GOPD.f;\nvar dP = $DP.f;\nvar gOPN = gOPNExt.f;\nvar $Symbol = global.Symbol;\nvar $JSON = global.JSON;\nvar _stringify = $JSON && $JSON.stringify;\nvar PROTOTYPE = 'prototype';\nvar HIDDEN = wks('_hidden');\nvar TO_PRIMITIVE = wks('toPrimitive');\nvar isEnum = {}.propertyIsEnumerable;\nvar SymbolRegistry = shared('symbol-registry');\nvar AllSymbols = shared('symbols');\nvar OPSymbols = shared('op-symbols');\nvar ObjectProto = Object[PROTOTYPE];\nvar USE_NATIVE = typeof $Symbol == 'function';\nvar QObject = global.QObject;\n// Don't use setters in Qt Script, https://github.com/zloirock/core-js/issues/173\nvar setter = !QObject || !QObject[PROTOTYPE] || !QObject[PROTOTYPE].findChild;\n\n// fallback for old Android, https://code.google.com/p/v8/issues/detail?id=687\nvar setSymbolDesc = DESCRIPTORS && $fails(function () {\n  return _create(dP({}, 'a', {\n    get: function () { return dP(this, 'a', { value: 7 }).a; }\n  })).a != 7;\n}) ? function (it, key, D) {\n  var protoDesc = gOPD(ObjectProto, key);\n  if (protoDesc) delete ObjectProto[key];\n  dP(it, key, D);\n  if (protoDesc && it !== ObjectProto) dP(ObjectProto, key, protoDesc);\n} : dP;\n\nvar wrap = function (tag) {\n  var sym = AllSymbols[tag] = _create($Symbol[PROTOTYPE]);\n  sym._k = tag;\n  return sym;\n};\n\nvar isSymbol = USE_NATIVE && typeof $Symbol.iterator == 'symbol' ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  return it instanceof $Symbol;\n};\n\nvar $defineProperty = function defineProperty(it, key, D) {\n  if (it === ObjectProto) $defineProperty(OPSymbols, key, D);\n  anObject(it);\n  key = toPrimitive(key, true);\n  anObject(D);\n  if (has(AllSymbols, key)) {\n    if (!D.enumerable) {\n      if (!has(it, HIDDEN)) dP(it, HIDDEN, createDesc(1, {}));\n      it[HIDDEN][key] = true;\n    } else {\n      if (has(it, HIDDEN) && it[HIDDEN][key]) it[HIDDEN][key] = false;\n      D = _create(D, { enumerable: createDesc(0, false) });\n    } return setSymbolDesc(it, key, D);\n  } return dP(it, key, D);\n};\nvar $defineProperties = function defineProperties(it, P) {\n  anObject(it);\n  var keys = enumKeys(P = toIObject(P));\n  var i = 0;\n  var l = keys.length;\n  var key;\n  while (l > i) $defineProperty(it, key = keys[i++], P[key]);\n  return it;\n};\nvar $create = function create(it, P) {\n  return P === undefined ? _create(it) : $defineProperties(_create(it), P);\n};\nvar $propertyIsEnumerable = function propertyIsEnumerable(key) {\n  var E = isEnum.call(this, key = toPrimitive(key, true));\n  if (this === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return false;\n  return E || !has(this, key) || !has(AllSymbols, key) || has(this, HIDDEN) && this[HIDDEN][key] ? E : true;\n};\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(it, key) {\n  it = toIObject(it);\n  key = toPrimitive(key, true);\n  if (it === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return;\n  var D = gOPD(it, key);\n  if (D && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) D.enumerable = true;\n  return D;\n};\nvar $getOwnPropertyNames = function getOwnPropertyNames(it) {\n  var names = gOPN(toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (!has(AllSymbols, key = names[i++]) && key != HIDDEN && key != META) result.push(key);\n  } return result;\n};\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(it) {\n  var IS_OP = it === ObjectProto;\n  var names = gOPN(IS_OP ? OPSymbols : toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (has(AllSymbols, key = names[i++]) && (IS_OP ? has(ObjectProto, key) : true)) result.push(AllSymbols[key]);\n  } return result;\n};\n\n// 19.4.1.1 Symbol([description])\nif (!USE_NATIVE) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor!');\n    var tag = uid(arguments.length > 0 ? arguments[0] : undefined);\n    var $set = function (value) {\n      if (this === ObjectProto) $set.call(OPSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDesc(this, tag, createDesc(1, value));\n    };\n    if (DESCRIPTORS && setter) setSymbolDesc(ObjectProto, tag, { configurable: true, set: $set });\n    return wrap(tag);\n  };\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return this._k;\n  });\n\n  $GOPD.f = $getOwnPropertyDescriptor;\n  $DP.f = $defineProperty;\n  require('./_object-gopn').f = gOPNExt.f = $getOwnPropertyNames;\n  require('./_object-pie').f = $propertyIsEnumerable;\n  require('./_object-gops').f = $getOwnPropertySymbols;\n\n  if (DESCRIPTORS && !require('./_library')) {\n    redefine(ObjectProto, 'propertyIsEnumerable', $propertyIsEnumerable, true);\n  }\n\n  wksExt.f = function (name) {\n    return wrap(wks(name));\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Symbol: $Symbol });\n\nfor (var es6Symbols = (\n  // 19.4.2.2, 19.4.2.3, 19.4.2.4, 19.4.2.6, 19.4.2.8, 19.4.2.9, 19.4.2.10, 19.4.2.11, 19.4.2.12, 19.4.2.13, 19.4.2.14\n  'hasInstance,isConcatSpreadable,iterator,match,replace,search,species,split,toPrimitive,toStringTag,unscopables'\n).split(','), j = 0; es6Symbols.length > j;)wks(es6Symbols[j++]);\n\nfor (var wellKnownSymbols = $keys(wks.store), k = 0; wellKnownSymbols.length > k;) wksDefine(wellKnownSymbols[k++]);\n\n$export($export.S + $export.F * !USE_NATIVE, 'Symbol', {\n  // 19.4.2.1 Symbol.for(key)\n  'for': function (key) {\n    return has(SymbolRegistry, key += '')\n      ? SymbolRegistry[key]\n      : SymbolRegistry[key] = $Symbol(key);\n  },\n  // 19.4.2.5 Symbol.keyFor(sym)\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol!');\n    for (var key in SymbolRegistry) if (SymbolRegistry[key] === sym) return key;\n  },\n  useSetter: function () { setter = true; },\n  useSimple: function () { setter = false; }\n});\n\n$export($export.S + $export.F * !USE_NATIVE, 'Object', {\n  // 19.1.2.2 Object.create(O [, Properties])\n  create: $create,\n  // 19.1.2.4 Object.defineProperty(O, P, Attributes)\n  defineProperty: $defineProperty,\n  // 19.1.2.3 Object.defineProperties(O, Properties)\n  defineProperties: $defineProperties,\n  // 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor,\n  // 19.1.2.7 Object.getOwnPropertyNames(O)\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // 19.1.2.8 Object.getOwnPropertySymbols(O)\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// 24.3.2 JSON.stringify(value [, replacer [, space]])\n$JSON && $export($export.S + $export.F * (!USE_NATIVE || $fails(function () {\n  var S = $Symbol();\n  // MS Edge converts symbol values to JSON as {}\n  // WebKit converts symbol values to JSON as null\n  // V8 throws on boxed symbols\n  return _stringify([S]) != '[null]' || _stringify({ a: S }) != '{}' || _stringify(Object(S)) != '{}';\n})), 'JSON', {\n  stringify: function stringify(it) {\n    var args = [it];\n    var i = 1;\n    var replacer, $replacer;\n    while (arguments.length > i) args.push(arguments[i++]);\n    $replacer = replacer = args[1];\n    if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n    if (!isArray(replacer)) replacer = function (key, value) {\n      if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n      if (!isSymbol(value)) return value;\n    };\n    args[1] = replacer;\n    return _stringify.apply($JSON, args);\n  }\n});\n\n// 19.4.3.4 Symbol.prototype[@@toPrimitive](hint)\n$Symbol[PROTOTYPE][TO_PRIMITIVE] || require('./_hide')($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n// 19.4.3.5 Symbol.prototype[@@toStringTag]\nsetToStringTag($Symbol, 'Symbol');\n// 20.2.1.9 Math[@@toStringTag]\nsetToStringTag(Math, 'Math', true);\n// 24.3.3 JSON[@@toStringTag]\nsetToStringTag(global.JSON, 'JSON', true);\n","require('./modules/es6.symbol');\nrequire('./modules/es6.object.create');\nrequire('./modules/es6.object.define-property');\nrequire('./modules/es6.object.define-properties');\nrequire('./modules/es6.object.get-own-property-descriptor');\nrequire('./modules/es6.object.get-prototype-of');\nrequire('./modules/es6.object.keys');\nrequire('./modules/es6.object.get-own-property-names');\nrequire('./modules/es6.object.freeze');\nrequire('./modules/es6.object.seal');\nrequire('./modules/es6.object.prevent-extensions');\nrequire('./modules/es6.object.is-frozen');\nrequire('./modules/es6.object.is-sealed');\nrequire('./modules/es6.object.is-extensible');\nrequire('./modules/es6.object.assign');\nrequire('./modules/es6.object.is');\nrequire('./modules/es6.object.set-prototype-of');\nrequire('./modules/es6.object.to-string');\nrequire('./modules/es6.function.bind');\nrequire('./modules/es6.function.name');\nrequire('./modules/es6.function.has-instance');\nrequire('./modules/es6.parse-int');\nrequire('./modules/es6.parse-float');\nrequire('./modules/es6.number.constructor');\nrequire('./modules/es6.number.to-fixed');\nrequire('./modules/es6.number.to-precision');\nrequire('./modules/es6.number.epsilon');\nrequire('./modules/es6.number.is-finite');\nrequire('./modules/es6.number.is-integer');\nrequire('./modules/es6.number.is-nan');\nrequire('./modules/es6.number.is-safe-integer');\nrequire('./modules/es6.number.max-safe-integer');\nrequire('./modules/es6.number.min-safe-integer');\nrequire('./modules/es6.number.parse-float');\nrequire('./modules/es6.number.parse-int');\nrequire('./modules/es6.math.acosh');\nrequire('./modules/es6.math.asinh');\nrequire('./modules/es6.math.atanh');\nrequire('./modules/es6.math.cbrt');\nrequire('./modules/es6.math.clz32');\nrequire('./modules/es6.math.cosh');\nrequire('./modules/es6.math.expm1');\nrequire('./modules/es6.math.fround');\nrequire('./modules/es6.math.hypot');\nrequire('./modules/es6.math.imul');\nrequire('./modules/es6.math.log10');\nrequire('./modules/es6.math.log1p');\nrequire('./modules/es6.math.log2');\nrequire('./modules/es6.math.sign');\nrequire('./modules/es6.math.sinh');\nrequire('./modules/es6.math.tanh');\nrequire('./modules/es6.math.trunc');\nrequire('./modules/es6.string.from-code-point');\nrequire('./modules/es6.string.raw');\nrequire('./modules/es6.string.trim');\nrequire('./modules/es6.string.iterator');\nrequire('./modules/es6.string.code-point-at');\nrequire('./modules/es6.string.ends-with');\nrequire('./modules/es6.string.includes');\nrequire('./modules/es6.string.repeat');\nrequire('./modules/es6.string.starts-with');\nrequire('./modules/es6.string.anchor');\nrequire('./modules/es6.string.big');\nrequire('./modules/es6.string.blink');\nrequire('./modules/es6.string.bold');\nrequire('./modules/es6.string.fixed');\nrequire('./modules/es6.string.fontcolor');\nrequire('./modules/es6.string.fontsize');\nrequire('./modules/es6.string.italics');\nrequire('./modules/es6.string.link');\nrequire('./modules/es6.string.small');\nrequire('./modules/es6.string.strike');\nrequire('./modules/es6.string.sub');\nrequire('./modules/es6.string.sup');\nrequire('./modules/es6.date.now');\nrequire('./modules/es6.date.to-json');\nrequire('./modules/es6.date.to-iso-string');\nrequire('./modules/es6.date.to-string');\nrequire('./modules/es6.date.to-primitive');\nrequire('./modules/es6.array.is-array');\nrequire('./modules/es6.array.from');\nrequire('./modules/es6.array.of');\nrequire('./modules/es6.array.join');\nrequire('./modules/es6.array.slice');\nrequire('./modules/es6.array.sort');\nrequire('./modules/es6.array.for-each');\nrequire('./modules/es6.array.map');\nrequire('./modules/es6.array.filter');\nrequire('./modules/es6.array.some');\nrequire('./modules/es6.array.every');\nrequire('./modules/es6.array.reduce');\nrequire('./modules/es6.array.reduce-right');\nrequire('./modules/es6.array.index-of');\nrequire('./modules/es6.array.last-index-of');\nrequire('./modules/es6.array.copy-within');\nrequire('./modules/es6.array.fill');\nrequire('./modules/es6.array.find');\nrequire('./modules/es6.array.find-index');\nrequire('./modules/es6.array.species');\nrequire('./modules/es6.array.iterator');\nrequire('./modules/es6.regexp.constructor');\nrequire('./modules/es6.regexp.exec');\nrequire('./modules/es6.regexp.to-string');\nrequire('./modules/es6.regexp.flags');\nrequire('./modules/es6.regexp.match');\nrequire('./modules/es6.regexp.replace');\nrequire('./modules/es6.regexp.search');\nrequire('./modules/es6.regexp.split');\nrequire('./modules/es6.promise');\nrequire('./modules/es6.map');\nrequire('./modules/es6.set');\nrequire('./modules/es6.weak-map');\nrequire('./modules/es6.weak-set');\nrequire('./modules/es6.typed.array-buffer');\nrequire('./modules/es6.typed.data-view');\nrequire('./modules/es6.typed.int8-array');\nrequire('./modules/es6.typed.uint8-array');\nrequire('./modules/es6.typed.uint8-clamped-array');\nrequire('./modules/es6.typed.int16-array');\nrequire('./modules/es6.typed.uint16-array');\nrequire('./modules/es6.typed.int32-array');\nrequire('./modules/es6.typed.uint32-array');\nrequire('./modules/es6.typed.float32-array');\nrequire('./modules/es6.typed.float64-array');\nrequire('./modules/es6.reflect.apply');\nrequire('./modules/es6.reflect.construct');\nrequire('./modules/es6.reflect.define-property');\nrequire('./modules/es6.reflect.delete-property');\nrequire('./modules/es6.reflect.enumerate');\nrequire('./modules/es6.reflect.get');\nrequire('./modules/es6.reflect.get-own-property-descriptor');\nrequire('./modules/es6.reflect.get-prototype-of');\nrequire('./modules/es6.reflect.has');\nrequire('./modules/es6.reflect.is-extensible');\nrequire('./modules/es6.reflect.own-keys');\nrequire('./modules/es6.reflect.prevent-extensions');\nrequire('./modules/es6.reflect.set');\nrequire('./modules/es6.reflect.set-prototype-of');\nrequire('./modules/es7.array.includes');\nrequire('./modules/es7.array.flat-map');\nrequire('./modules/es7.array.flatten');\nrequire('./modules/es7.string.at');\nrequire('./modules/es7.string.pad-start');\nrequire('./modules/es7.string.pad-end');\nrequire('./modules/es7.string.trim-left');\nrequire('./modules/es7.string.trim-right');\nrequire('./modules/es7.string.match-all');\nrequire('./modules/es7.symbol.async-iterator');\nrequire('./modules/es7.symbol.observable');\nrequire('./modules/es7.object.get-own-property-descriptors');\nrequire('./modules/es7.object.values');\nrequire('./modules/es7.object.entries');\nrequire('./modules/es7.object.define-getter');\nrequire('./modules/es7.object.define-setter');\nrequire('./modules/es7.object.lookup-getter');\nrequire('./modules/es7.object.lookup-setter');\nrequire('./modules/es7.map.to-json');\nrequire('./modules/es7.set.to-json');\nrequire('./modules/es7.map.of');\nrequire('./modules/es7.set.of');\nrequire('./modules/es7.weak-map.of');\nrequire('./modules/es7.weak-set.of');\nrequire('./modules/es7.map.from');\nrequire('./modules/es7.set.from');\nrequire('./modules/es7.weak-map.from');\nrequire('./modules/es7.weak-set.from');\nrequire('./modules/es7.global');\nrequire('./modules/es7.system.global');\nrequire('./modules/es7.error.is-error');\nrequire('./modules/es7.math.clamp');\nrequire('./modules/es7.math.deg-per-rad');\nrequire('./modules/es7.math.degrees');\nrequire('./modules/es7.math.fscale');\nrequire('./modules/es7.math.iaddh');\nrequire('./modules/es7.math.isubh');\nrequire('./modules/es7.math.imulh');\nrequire('./modules/es7.math.rad-per-deg');\nrequire('./modules/es7.math.radians');\nrequire('./modules/es7.math.scale');\nrequire('./modules/es7.math.umulh');\nrequire('./modules/es7.math.signbit');\nrequire('./modules/es7.promise.finally');\nrequire('./modules/es7.promise.try');\nrequire('./modules/es7.reflect.define-metadata');\nrequire('./modules/es7.reflect.delete-metadata');\nrequire('./modules/es7.reflect.get-metadata');\nrequire('./modules/es7.reflect.get-metadata-keys');\nrequire('./modules/es7.reflect.get-own-metadata');\nrequire('./modules/es7.reflect.get-own-metadata-keys');\nrequire('./modules/es7.reflect.has-metadata');\nrequire('./modules/es7.reflect.has-own-metadata');\nrequire('./modules/es7.reflect.metadata');\nrequire('./modules/es7.asap');\nrequire('./modules/es7.observable');\nrequire('./modules/web.timers');\nrequire('./modules/web.immediate');\nrequire('./modules/web.dom.iterable');\nmodule.exports = require('./modules/_core');\n","\"use strict\";\n\nrequire(\"core-js/shim\");\n\nrequire(\"regenerator-runtime/runtime\");\n\nrequire(\"core-js/fn/regexp/escape\");\n\nif (global._babelPolyfill) {\n  throw new Error(\"only one instance of babel-polyfill is allowed\");\n}\nglobal._babelPolyfill = true;\n\nvar DEFINE_PROPERTY = \"defineProperty\";\nfunction define(O, key, value) {\n  O[key] || Object[DEFINE_PROPERTY](O, key, {\n    writable: true,\n    configurable: true,\n    value: value\n  });\n}\n\ndefine(String.prototype, \"padLeft\", \"\".padStart);\ndefine(String.prototype, \"padRight\", \"\".padEnd);\n\n\"pop,reverse,shift,keys,values,entries,indexOf,every,some,forEach,map,filter,find,findIndex,includes,join,slice,concat,push,splice,unshift,sort,lastIndexOf,reduce,reduceRight,copyWithin,fill\".split(\",\").forEach(function (key) {\n  [][key] && define(Array, key, Function.call.bind([][key]));\n});"],"sourceRoot":""}
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et","meanAbsoluteError","meanAbsolutePercentageError","meanSquaredLogarithmicError","squaredHinge","hinge","categoricalHinge","logcosh","categoricalCrossentropy","sparseCategoricalCrossentropy","binaryCrossentropy","kullbackLeiblerDivergence","poisson","cosineProximity","includes","tf_layers_esm_binaryAccuracy","bb","Ma","tf_layers_esm_categoricalAccuracy","tf_layers_esm_truePositives","vb","tf_layers_esm_precision","Fd","tf_layers_esm_binaryCrossentropy$1","tf_layers_esm_sparseCategoricalAccuracy","tf_layers_esm_mse$1","tf_layers_esm_MSE$1","tf_layers_esm_mae$1","tf_layers_esm_MAE$1","tf_layers_esm_mape$1","tf_layers_esm_MAPE$1","tf_layers_esm_categoricalCrossentropy$1","tf_layers_esm_cosine$1","tf_layers_esm_sparseCategoricalCrossentropy$1","tf_layers_esm_printRow","tf_layers_esm_printLayerSummary","tf_layers_esm_printLayerSummaryWithConnections","tf_layers_esm_deserialize","tf_layers_esm_isArrayItemInputOrOutputName","tf_layers_esm_preprocessWeightsForLoading","tf_layers_esm_loadTensor","tf_layers_esm_ModelLoggingVerbosity","tf_layers_esm_Container","containerNodes","inputLayers","inputLayersNodeIndices","inputLayersTensorIndices","outputLayers","outputLayersNodeIndices","outputLayersTensorIndices","layers","inputNames","outputNames","feedInputShapes","feedInputNames","feedOutputNames","internalInputShapes","internalOutputShapes","layersByDepth","J","Z","Y","Q","ee","nodesByDepth","te","ne","re","ie","keras_version","updatedConfig","kerasVersion","toJSON","tf_layers_esm_convertTsToPythonic","mask","runInternalGraph","buildNodeConversionMap","getLayer","tf_layers_esm_FeedDict","id2Value","addFeed","hasKey","getValue","tf_layers_esm_execute","tf_layers_esm_executeInternal","output","tf_layers_esm_isDataArray","tf_layers_esm_isDataDict","tf_layers_esm_standardizeInputData","tf_layers_esm_makeBatches","tf_layers_esm_sliceArrays","tf_layers_esm_sliceArraysByIndices","tf_layers_esm_checkInputData","tf_layers_esm_checkBatchSize","SILENT","VERBOSE","tf_layers_esm_Model","isTraining","summary","checkTrainableWeightsConsistency","collectedTrainableWeights","tf_layers_esm_printSummary","compile","loss","optimizer","Adagrad","td","Adadelta","Adam","Adamax","RMSProp","SGD","lossFunctions","feedOutputShapes","feedLossFns","metricsNames","metricsTensors","binaryAccuracy","categoricalAccuracy","precision","mse","MSE","mae","MAE","mape","MAPE","cosine","evaluate","standardizeUserData","makeTestFunction","testFunction","testLoop","verbose","steps","checkNumSamples","execute","retrieveSymbolicTensors","predictLoop","predict","predictOnBatch","fitLoop","epochs","initialEpoch","samples","doValidation","stopTraining_","batch","getDedupedMetricsNames","fit","validationSplit","validationSteps","training","getNamedWeights","trainableOnly","hb","tf_layers_esm_Sequential","_updatable","checkShape","tf_layers_esm_getSourceInputs","model","stopTraining","tf_layers_esm_model","tf_layers_esm_sequential","tf_layers_esm_loadModel","model_config","tf_layers_esm_convertPythonicToTs","tf_layers_esm_loadModelInternal","tf_layers_esm_input","tf_layers_esm_registerCallbackConstructor","tf_layers_esm_Activation","tf_layers_esm_Elu","Ka","tf_layers_esm_Selu","Cc","tf_layers_esm_Relu","tf_layers_esm_Relu6","Ib","tf_layers_esm_Linear","tf_layers_esm_Sigmoid","Gc","tf_layers_esm_HardSigmoid","tf_layers_esm_Softplus","tf_layers_esm_Softsign","tf_layers_esm_Tanh","fd","tf_layers_esm_Softmax","tf_layers_esm_serializeActivation","tf_layers_esm_deserializeActivation","tf_layers_esm_getActivation","tf_layers_esm_ReLU","tf_layers_esm_LeakyReLU","DEFAULT_ALPHA","jb","tf_layers_esm_ELU","tf_layers_esm_ThresholdedReLU","DEFAULT_THETA","theta","thetaTensor","tf_layers_esm_Softmax$1","DEFAULT_AXIS","tf_layers_esm_Regularizer","tf_layers_esm_L1L2","l1","l2","hasL1","hasL2","tf_layers_esm_REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP","l1l2","tf_layers_esm_serializeRegularizer","tf_layers_esm_deserializeRegularizer","tf_layers_esm_getRegularizer","tf_layers_esm_normalizeArray","tf_layers_esm_convOutputLength","tf_layers_esm_deconvLength","tf_layers_esm_preprocessConv2DInput","ud","tf_layers_esm_BaseConv","DEFAULT_KERNEL_INITIALIZER","DEFAULT_BIAS_INITIALIZER","verifyConfig","kernelSize","padding","activation","useBias","biasInitializer","biasConstraint","biasRegularizer","dilationRate","tf_layers_esm_Conv","kernel","filters","kernelInitializer","kernelConstraint","kernelRegularizer","tf_layers_esm_Conv2D","tf_layers_esm_Conv2DTranspose","tf_layers_esm_SeparableConv2D","DEFAULT_DEPTHWISE_INITIALIZER","DEFAULT_POINTWISE_INITIALIZER","depthwiseKernel","pointwiseKernel","depthMultiplier","depthwiseInitializer","depthwiseRegularizer","depthwiseConstraint","pointwiseInitializer","pointwiseRegularizer","pointwiseConstraint","Dc","tf_layers_esm_Conv1D","tf_layers_esm_Cropping2D","cropping","tf_layers_esm_UpSampling2D","DEFAULT_SIZE","tf_layers_esm_DepthwiseConv2D","Ea","tf_layers_esm_Dropout","rateScalar","noiseShape","getNoiseShape","tf_layers_esm_Dense","inputDim","unit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e%2==0?e:e+1}function sum(e){for(var t=0,r=0;r<e.length;r++)t+=e[r];return t}function randUniform(e,t){var r=Math.random();return t*r+(1-r)*e}function distSquared(e,t){for(var r=0,n=0;n<e.length;n++){var o=Number(e[n])-Number(t[n]);r+=o*o}return r}function assert(e,t){if(!e)throw new Error(\"string\"==typeof t?t:t())}function assertShapesMatch(e,t,r){void 0===r&&(r=\"\"),assert(arraysEqual(e,t),r+\" Shapes \"+e+\" and \"+t+\" must match\")}function assertNonNull(e){assert(null!=e,\"The input to the tensor constructor must be a non-null value.\")}function flatten(e,t){if(void 0===t&&(t=[]),Array.isArray(e))for(var r=0;r<e.length;++r)flatten(e[r],t);else t.push(e);return t}function sizeFromShape(e){if(0===e.length)return 1;for(var t=e[0],r=1;r<e.length;r++)t*=e[r];return t}function isScalarShape(e){return 0===e.length}function arraysEqual(e,t){if(e===t)return!0;if(null==e||null==t)return!1;if(e.length!==t.length)return!1;for(var r=0;r<e.length;r++)if(e[r]!==t[r])return!1;return!0}function isInt(e){return e%1==0}function tanh(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)}function sizeToSquarishShape(e){for(var t=Math.floor(Math.sqrt(e));t>1;--t)if(e%t==0)return[t,e/t];return[1,e]}function createShuffledIndices(e){for(var t=new Uint32Array(e),r=0;r<e;++r)t[r]=r;return shuffle(t),t}function rightPad(e,t){return t<=e.length?e:e+\" \".repeat(t-e.length)}function repeatedTry(e,t,r){return void 0===t&&(t=function(e){return 0}),new Promise(function(n,o){var a=0,i=function(){if(e())n();else{var s=t(++a);null!=r&&a>=r?o():setTimeout(i,s)}};i()})}function inferFromImplicitShape(e,t){for(var r=1,n=-1,o=0;o<e.length;++o)if(e[o]>=0)r*=e[o];else if(-1===e[o]){if(-1!==n)throw Error(\"Shapes can only have 1 implicit size. Found -1 at dim \"+n+\" and dim \"+o);n=o}else if(e[o]<0)throw Error(\"Shapes can not be < 0. Found \"+e[o]+\" at dim \"+o);if(-1===n){if(t>0&&t!==r)throw Error(\"Size(\"+t+\") must match the product of shape \"+e);return e}if(0===r)throw Error(\"Cannot infer the missing size in [\"+e+\"] when there are 0 elements\");if(t%r!=0)throw Error(\"The implicit shape can't be a fractional number. Got \"+t+\" / \"+r);var a=e.slice();return a[n]=t/r,a}function squeezeShape(e,t){for(var r=[],n=[],o=0,a=0;a<e.length;++a){if(null!=t){if(t[o]===a&&1!==e[a])throw new Error(\"Can't squeeze axis \"+a+\" since its dim '\"+e[a]+\"' is not 1\");(null==t[o]||t[o]>a)&&1===e[a]&&(r.push(e[a]),n.push(a)),t[o]<=a&&o++}1!==e[a]&&(r.push(e[a]),n.push(a))}return{newShape:r,keptDims:n}}function getTypedArrayFromDType(e,t){var r=null;if(null==e||\"float32\"===e)r=new Float32Array(t);else if(\"int32\"===e)r=new Int32Array(t);else{if(\"bool\"!==e)throw new Error(\"Unknown data type \"+e);r=new Uint8Array(t)}return r}function checkComputationForNaN(e,t,r){if(\"float32\"===t)for(var n=0;n<e.length;n++)if(isNaN(e[n]))throw Error(\"The result of the '\"+r+\"' has NaNs.\")}function checkConversionForNaN(e,t){if(\"float32\"!==t)for(var r=0;r<e.length;r++)if(isNaN(e[r]))throw Error(\"NaN is not a valid value for dtype: '\"+t+\"'.\")}function hasEncodingLoss(e,t){return\"complex64\"!==t&&((\"float32\"!==t||\"complex64\"===e)&&((\"int32\"!==t||\"float32\"===e||\"complex64\"===e)&&(\"bool\"!==t||\"bool\"!==e)))}function copyTypedArray(e,t,r){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return r&&checkConversionForNaN(e,t),new Int32Array(e);if(\"bool\"===t){for(var n=new Uint8Array(e.length),o=0;o<n.length;++o)0!==Math.round(e[o])&&(n[o]=1);return n}throw new Error(\"Unknown data type \"+t)}function isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array}function bytesPerElement(e){if(\"float32\"===e||\"int32\"===e)return 4;if(\"complex64\"===e)return 8;if(\"bool\"===e)return 1;throw new Error(\"Unknown dtype \"+e)}function isFunction(e){return!!(e&&e.constructor&&e.call&&e.apply)}function nearestDivisor(e,t){for(var r=t;r<e;++r)if(e%r==0)return r;return e}function computeStrides(e){var t=e.length;if(t<2)return[];var r=new Array(t-1);r[t-2]=e[t-1];for(var n=t-3;n>=0;--n)r[n]=r[n+1]*e[n+1];return r}function toTypedArray(e,t,r){return noConversionNeeded(e,t)?e:(Array.isArray(e)&&(e=flatten(e)),copyTypedArray(e,t,r))}function noConversionNeeded(e,t){return e instanceof Float32Array&&\"float32\"===t||e instanceof Int32Array&&\"int32\"===t||e instanceof Uint8Array&&\"bool\"===t}function makeOnesTypedArray(e,t){for(var r=makeZerosTypedArray(e,t),n=0;n<r.length;n++)r[n]=1;return r}function makeZerosTypedArray(e,t){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return new Int32Array(e);if(\"bool\"===t)return new Uint8Array(e);throw new Error(\"Unknown data type \"+t)}function now(){if(\"undefined\"!=typeof performance)return performance.now();if(\"undefined\"!=typeof process){var e=process.hrtime();return 1e3*e[0]+e[1]/1e6}throw new Error(\"Cannot measure time in this environment. You should run tf.js in the browser or in Node.js\")}var util=Object.freeze({shuffle:shuffle,clamp:clamp,nearestLargerEven:nearestLargerEven,sum:sum,randUniform:randUniform,distSquared:distSquared,assert:assert,assertShapesMatch:assertShapesMatch,assertNonNull:assertNonNull,flatten:flatten,sizeFromShape:sizeFromShape,isScalarShape:isScalarShape,arraysEqual:arraysEqual,isInt:isInt,tanh:tanh,sizeToSquarishShape:sizeToSquarishShape,createShuffledIndices:createShuffledIndices,rightPad:rightPad,repeatedTry:repeatedTry,inferFromImplicitShape:inferFromImplicitShape,squeezeShape:squeezeShape,getTypedArrayFromDType:getTypedArrayFromDType,checkComputationForNaN:checkComputationForNaN,checkConversionForNaN:checkConversionForNaN,hasEncodingLoss:hasEncodingLoss,isTypedArray:isTypedArray,bytesPerElement:bytesPerElement,isFunction:isFunction,nearestDivisor:nearestDivisor,computeStrides:computeStrides,toTypedArray:toTypedArray,makeOnesTypedArray:makeOnesTypedArray,makeZerosTypedArray:makeZerosTypedArray,now:now}),Profiler=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new Logger)}return e.prototype.profileKernel=function(e,t){var r,n=this,o=this.backendTimer.time(function(){r=t()});return(Array.isArray(r)?r:[r]).forEach(function(t){var r=t.dataSync();checkComputationForNaN(r,t.dtype,e),o.then(function(o){var a=\"\";null!=o.getExtraProfileInfo&&(a=o.getExtraProfileInfo()),n.logger.logKernelProfile(e,t,r,o.kernelMs,a)})}),r},e}(),Logger=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,r,n,o){var a=rightPad(n+\"ms\",9),i=rightPad(e,25),s=t.rank,u=t.size,l=rightPad(t.shape.toString(),14);console.log(\"%c\"+i+\"\\t%c\"+a+\"\\t%c\"+s+\"D \"+l+\"\\t%c\"+u+\"\\t%c\"+o,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\",\"color: green\")},e}(),FORMAT_LIMIT_NUM_VALS=20,FORMAT_NUM_FIRST_LAST_VALS=3,FORMAT_NUM_SIG_DIGITS=7;function tensorToString(e,t,r,n){var o=computeStrides(t),a=computeMaxSizePerColumn(e,t,r,o),i=t.length,s=subTensorToString(e,t,r,o,a),u=[\"Tensor\"];return n&&(u.push(\"  dtype: \"+r),u.push(\"  rank: \"+i),u.push(\"  shape: [\"+t+\"]\"),u.push(\"  values:\")),u.push(s.map(function(e){return\"    \"+e}).join(\"\\n\")),u.join(\"\\n\")}function computeMaxSizePerColumn(e,t,r,n){var o=sizeFromShape(t),a=n[n.length-1],i=new Array(a).fill(0),s=t.length,u=\"complex64\"===r?createComplexTuples(e):e;if(s>1)for(var l=0;l<o/a;l++)for(var c=l*a,p=0;p<a;p++)i[p]=Math.max(i[p],valToString(u[c+p],0).length);return i}function valToString(e,t){return rightPad(Array.isArray(e)?parseFloat(e[0].toFixed(FORMAT_NUM_SIG_DIGITS))+\" + \"+parseFloat(e[1].toFixed(FORMAT_NUM_SIG_DIGITS))+\"j\":parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(),t)}function subTensorToString(e,t,r,n,o,a){void 0===a&&(a=!0);var i=\"complex64\"===r?2:1,s=t[0],u=t.length;if(0===u)return\"complex64\"===r?[valToString(createComplexTuples(e)[0],0)]:[e[0].toString()];if(1===u){if(s>FORMAT_LIMIT_NUM_VALS){var l=FORMAT_NUM_FIRST_LAST_VALS*i,c=Array.from(e.subarray(0,l)),p=Array.from(e.subarray(s-FORMAT_NUM_FIRST_LAST_VALS*i,s));return\"complex64\"===r&&(c=createComplexTuples(c),p=createComplexTuples(p)),[\"[\"+c.map(function(e,t){return valToString(e,o[t])}).join(\", \")+\", ..., \"+p.map(function(e,t){return valToString(e,o[s-FORMAT_NUM_FIRST_LAST_VALS+t])}).join(\", \")+\"]\"]}return[\"[\"+(\"complex64\"===r?createComplexTuples(e):Array.from(e)).map(function(e,t){return valToString(e,o[t])}).join(\", \")+\"]\"]}var d=t.slice(1),h=n.slice(1),f=n[0]*i,m=[];if(s>FORMAT_LIMIT_NUM_VALS){for(var g=0;g<FORMAT_NUM_FIRST_LAST_VALS;g++){var v=(y=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(y,v),d,r,h,o,!1))}m.push(\"...\");for(g=s-FORMAT_NUM_FIRST_LAST_VALS;g<s;g++){v=(y=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(y,v),d,r,h,o,g===s-1))}}else for(g=0;g<s;g++){var y;v=(y=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(y,v),d,r,h,o,g===s-1))}var x=2===u?\",\":\"\";m[0]=\"[\"+m[0]+x;for(g=1;g<m.length-1;g++)m[g]=\" \"+m[g]+x;var T=\",\\n\";for(g=2;g<u;g++)T+=\"\\n\";return m[m.length-1]=\" \"+m[m.length-1]+\"]\"+(a?\"\":T),m}function createComplexTuples(e){for(var t=[],r=0;r<e.length;r+=2)t.push([e[r],e[r+1]]);return t}var TensorBuffer=function(){function e(e,t,r){if(this.dtype=t,this.shape=e.slice(),this.size=sizeFromShape(e),null!=r){var n=r.length;assert(n===this.size,\"Length of values '\"+n+\"' does not match the size inferred by the shape '\"+this.size+\"'.\")}if(\"complex64\"===t)throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=r||getTypedArrayFromDType(t,sizeFromShape(this.shape)),this.strides=computeStrides(e)}return e.prototype.set=function(e){for(var t=[],r=1;r<arguments.length;r++)t[r-1]=arguments[r];0===t.length&&(t=[0]),assert(t.length===this.rank,\"The number of provided coordinates (\"+t.length+\") must match the rank (\"+this.rank+\")\");var n=this.locToIndex(t);this.values[n]=e},e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];0===e.length&&(e=[0]);for(var r=e[e.length-1],n=0;n<e.length-1;++n)r+=this.strides[n]*e[n];return this.values[r]},e.prototype.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],r=0;r<e.length-1;++r)t+=this.strides[r]*e[r];return t},e.prototype.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),r=0;r<t.length-1;++r)t[r]=Math.floor(e/this.strides[r]),e-=t[r]*this.strides[r];return t[t.length-1]=e,t},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.toTensor=function(){return Tensor.make(this.shape,{values:this.values},this.dtype)},e}(),trackerFn=null,opHandler=null;function setTensorTracker(e){trackerFn=e}function setOpHandler(e){opHandler=e}var Tensor=function(){function e(e,t,r,n){this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||\"float32\",this.size=sizeFromShape(e),null!=r&&assert(this.size===r.length,\"Based on the provided shape, [\"+e+\"], and dtype \"+this.dtype+\", the tensor should have \"+this.size+\" values but has \"+r.length),this.strides=computeStrides(e),this.dataId=null!=n?n:{},this.id=trackerFn().nextTensorId(),this.rankType=this.rank<5?this.rank.toString():\"higher\",trackerFn().registerTensor(this),null!=r&&trackerFn().write(this.dataId,r)}return e.make=function(t,r,n){return new e(t,n,r.values,r.dataId)},e.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},e.prototype.asScalar=function(){return this.throwIfDisposed(),assert(1===this.size,\"The array must have only 1 element.\"),this.reshape([])},e.prototype.as1D=function(){return this.throwIfDisposed(),this.reshape([this.size])},e.prototype.as2D=function(e,t){return this.throwIfDisposed(),this.reshape([e,t])},e.prototype.as3D=function(e,t,r){return this.throwIfDisposed(),this.reshape([e,t,r])},e.prototype.as4D=function(e,t,r,n){return this.throwIfDisposed(),this.reshape([e,t,r,n])},e.prototype.asType=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];assert(e.length===this.rank,\"Number of coordinates in get() must match the rank of the tensor\"),assert(\"complex64\"!==this.dtype,\"Tensor.get() is not supported for complex64 tensors yet.\"),this.throwIfDisposed(),0===e.length&&(e=[0]);for(var r=e[e.length-1],n=0;n<e.length-1;++n)r+=this.strides[n]*e[n];return this.dataSync()[r]},e.prototype.buffer=function(){return opHandler.buffer(this.shape,this.dtype,this.dataSync())},e.prototype.data=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.throwIfDisposed(),[2,trackerFn().read(this.dataId)]})})},e.prototype.dataSync=function(){return this.throwIfDisposed(),trackerFn().readSync(this.dataId)},e.prototype.dispose=function(){this.isDisposed||(trackerFn().disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(e.prototype,\"isDisposed\",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),e.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")},e.prototype.toFloat=function(){return this.asType(\"float32\")},e.prototype.toInt=function(){return this.asType(\"int32\")},e.prototype.toBool=function(){return this.asType(\"bool\")},e.prototype.print=function(e){return void 0===e&&(e=!1),opHandler.print(this,e)},e.prototype.reshape=function(e){return this.throwIfDisposed(),opHandler.reshape(this,e)},e.prototype.reshapeAs=function(e){return this.throwIfDisposed(),this.reshape(e.shape)},e.prototype.expandDims=function(e){return void 0===e&&(e=0),opHandler.expandDims(this,e)},e.prototype.cumsum=function(e,t,r){return void 0===e&&(e=0),void 0===t&&(t=!1),void 0===r&&(r=!1),opHandler.cumsum(this,e,t,r)},e.prototype.squeeze=function(e){return this.throwIfDisposed(),opHandler.squeeze(this,e)},e.prototype.clone=function(){return this.throwIfDisposed(),opHandler.clone(this)},e.prototype.toString=function(e){return void 0===e&&(e=!1),tensorToString(this.dataSync(),this.shape,this.dtype,e)},e.prototype.tile=function(e){return this.throwIfDisposed(),opHandler.tile(this,e)},e.prototype.gather=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.gather(this,e,t)},e.prototype.matMul=function(e,t,r){return void 0===t&&(t=!1),void 0===r&&(r=!1),this.throwIfDisposed(),opHandler.matMul(this,e,t,r)},e.prototype.dot=function(e){return this.throwIfDisposed(),opHandler.dot(this,e)},e.prototype.norm=function(e,t,r){return void 0===e&&(e=\"euclidean\"),void 0===t&&(t=null),void 0===r&&(r=!1),this.throwIfDisposed(),opHandler.norm(this,e,t,r)},e.prototype.slice=function(e,t){return this.throwIfDisposed(),opHandler.slice(this,e,t)},e.prototype.reverse=function(e){return this.throwIfDisposed(),opHandler.reverse(this,e)},e.prototype.concat=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.concat([this,e],t)},e.prototype.split=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.split(this,e,t)},e.prototype.stack=function(e,t){return void 0===t&&(t=0),opHandler.stack([this,e],t)},e.prototype.unstack=function(e,t){return void 0===t&&(t=0),opHandler.unstack(this,t)},e.prototype.pad=function(e,t){return void 0===t&&(t=0),opHandler.pad(this,e,t)},e.prototype.batchNormalization=function(e,t,r,n,o){return void 0===r&&(r=.001),this.throwIfDisposed(),opHandler.batchNormalization(this,e,t,r,n,o)},e.prototype.all=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.all(this,e,t)},e.prototype.any=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.any(this,e,t)},e.prototype.logSumExp=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.logSumExp(this,e,t)},e.prototype.sum=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.sum(this,e,t)},e.prototype.prod=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.prod(this,e,t)},e.prototype.mean=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.mean(this,e,t)},e.prototype.min=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.min(this,e,t)},e.prototype.max=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.max(this,e,t)},e.prototype.argMin=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMin(this,e)},e.prototype.argMax=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMax(this,e)},e.prototype.cast=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},e.prototype.add=function(e){return this.throwIfDisposed(),opHandler.add(this,e)},e.prototype.addStrict=function(e){return this.throwIfDisposed(),opHandler.addStrict(this,e)},e.prototype.atan2=function(e){return this.throwIfDisposed(),opHandler.atan2(this,e)},e.prototype.sub=function(e){return this.throwIfDisposed(),opHandler.sub(this,e)},e.prototype.subStrict=function(e){return this.throwIfDisposed(),opHandler.subStrict(this,e)},e.prototype.pow=function(e){return this.throwIfDisposed(),opHandler.pow(this,e)},e.prototype.powStrict=function(e){return this.throwIfDisposed(),opHandler.powStrict(this,e)},e.prototype.mul=function(e){return this.throwIfDisposed(),opHandler.mul(this,e)},e.prototype.mulStrict=function(e){return this.throwIfDisposed(),opHandler.mulStrict(this,e)},e.prototype.div=function(e){return this.throwIfDisposed(),opHandler.div(this,e)},e.prototype.floorDiv=function(e){return this.throwIfDisposed(),opHandler.floorDiv(this,e)},e.prototype.divStrict=function(e){return this.throwIfDisposed(),opHandler.divStrict(this,e)},e.prototype.minimum=function(e){return this.throwIfDisposed(),opHandler.minimum(this,e)},e.prototype.minimumStrict=function(e){return this.throwIfDisposed(),opHandler.minimumStrict(this,e)},e.prototype.maximum=function(e){return this.throwIfDisposed(),opHandler.maximum(this,e)},e.prototype.maximumStrict=function(e){return this.throwIfDisposed(),opHandler.maximumStrict(this,e)},e.prototype.mod=function(e){return this.throwIfDisposed(),opHandler.mod(this,e)},e.prototype.modStrict=function(e){return this.throwIfDisposed(),opHandler.modStrict(this,e)},e.prototype.squaredDifference=function(e){return this.throwIfDisposed(),opHandler.squaredDifference(this,e)},e.prototype.squaredDifferenceStrict=function(e){return this.throwIfDisposed(),opHandler.squaredDifferenceStrict(this,e)},e.prototype.transpose=function(e){return this.throwIfDisposed(),opHandler.transpose(this,e)},e.prototype.notEqual=function(e){return this.throwIfDisposed(),opHandler.notEqual(this,e)},e.prototype.notEqualStrict=function(e){return this.throwIfDisposed(),opHandler.notEqualStrict(this,e)},e.prototype.less=function(e){return this.throwIfDisposed(),opHandler.less(this,e)},e.prototype.lessStrict=function(e){return this.throwIfDisposed(),opHandler.lessStrict(this,e)},e.prototype.equal=function(e){return this.throwIfDisposed(),opHandler.equal(this,e)},e.prototype.equalStrict=function(e){return this.throwIfDisposed(),opHandler.equalStrict(this,e)},e.prototype.lessEqual=function(e){return this.throwIfDisposed(),opHandler.lessEqual(this,e)},e.prototype.lessEqualStrict=function(e){return this.throwIfDisposed(),opHandler.lessEqualStrict(this,e)},e.prototype.greater=function(e){return this.throwIfDisposed(),opHandler.greater(this,e)},e.prototype.greaterStrict=function(e){return this.throwIfDisposed(),opHandler.greaterStrict(this,e)},e.prototype.greaterEqual=function(e){return this.throwIfDisposed(),opHandler.greaterEqual(this,e)},e.prototype.greaterEqualStrict=function(e){return this.throwIfDisposed(),opHandler.greaterEqualStrict(this,e)},e.prototype.logicalAnd=function(e){return this.throwIfDisposed(),opHandler.logicalAnd(this,e)},e.prototype.logicalOr=function(e){return this.throwIfDisposed(),opHandler.logicalOr(this,e)},e.prototype.logicalNot=function(){return this.throwIfDisposed(),opHandler.logicalNot(this)},e.prototype.logicalXor=function(e){return this.throwIfDisposed(),opHandler.logicalXor(this,e)},e.prototype.where=function(e,t){return this.throwIfDisposed(),opHandler.where(e,this,t)},e.prototype.neg=function(){return this.throwIfDisposed(),opHandler.neg(this)},e.prototype.ceil=function(){return this.throwIfDisposed(),opHandler.ceil(this)},e.prototype.floor=function(){return this.throwIfDisposed(),opHandler.floor(this)},e.prototype.sign=function(){return this.throwIfDisposed(),opHandler.sign(this)},e.prototype.exp=function(){return this.throwIfDisposed(),opHandler.exp(this)},e.prototype.expm1=function(){return this.throwIfDisposed(),opHandler.expm1(this)},e.prototype.log=function(){return this.throwIfDisposed(),opHandler.log(this)},e.prototype.log1p=function(){return this.throwIfDisposed(),opHandler.log1p(this)},e.prototype.sqrt=function(){return this.throwIfDisposed(),opHandler.sqrt(this)},e.prototype.rsqrt=function(){return this.throwIfDisposed(),opHandler.rsqrt(this)},e.prototype.square=function(){return this.throwIfDisposed(),opHandler.square(this)},e.prototype.reciprocal=function(){return this.throwIfDisposed(),opHandler.reciprocal(this)},e.prototype.abs=function(){return this.throwIfDisposed(),opHandler.abs(this)},e.prototype.clipByValue=function(e,t){return this.throwIfDisposed(),opHandler.clipByValue(this,e,t)},e.prototype.relu=function(){return this.throwIfDisposed(),opHandler.relu(this)},e.prototype.elu=function(){return this.throwIfDisposed(),opHandler.elu(this)},e.prototype.selu=function(){return this.throwIfDisposed(),opHandler.selu(this)},e.prototype.leakyRelu=function(e){return void 0===e&&(e=.2),this.throwIfDisposed(),opHandler.leakyRelu(this,e)},e.prototype.prelu=function(e){return this.throwIfDisposed(),opHandler.prelu(this,e)},e.prototype.sigmoid=function(){return this.throwIfDisposed(),opHandler.sigmoid(this)},e.prototype.logSigmoid=function(){return this.throwIfDisposed(),opHandler.logSigmoid(this)},e.prototype.softplus=function(){return this.throwIfDisposed(),opHandler.softplus(this)},e.prototype.zerosLike=function(){return this.throwIfDisposed(),opHandler.zerosLike(this)},e.prototype.onesLike=function(){return this.throwIfDisposed(),opHandler.onesLike(this)},e.prototype.sin=function(){return this.throwIfDisposed(),opHandler.sin(this)},e.prototype.cos=function(){return this.throwIfDisposed(),opHandler.cos(this)},e.prototype.tan=function(){return this.throwIfDisposed(),opHandler.tan(this)},e.prototype.asin=function(){return this.throwIfDisposed(),opHandler.asin(this)},e.prototype.acos=function(){return this.throwIfDisposed(),opHandler.acos(this)},e.prototype.atan=function(){return this.throwIfDisposed(),opHandler.atan(this)},e.prototype.sinh=function(){return this.throwIfDisposed(),opHandler.sinh(this)},e.prototype.cosh=function(){return this.throwIfDisposed(),opHandler.cosh(this)},e.prototype.tanh=function(){return this.throwIfDisposed(),opHandler.tanh(this)},e.prototype.asinh=function(){return this.throwIfDisposed(),opHandler.asinh(this)},e.prototype.acosh=function(){return this.throwIfDisposed(),opHandler.acosh(this)},e.prototype.atanh=function(){return this.throwIfDisposed(),opHandler.atanh(this)},e.prototype.erf=function(){return this.throwIfDisposed(),opHandler.erf(this)},e.prototype.round=function(){return this.throwIfDisposed(),opHandler.round(this)},e.prototype.step=function(e){return void 0===e&&(e=0),this.throwIfDisposed(),opHandler.step(this,e)},e.prototype.softmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),opHandler.softmax(this,e)},e.prototype.logSoftmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),opHandler.logSoftmax(this,e)},e.prototype.resizeBilinear=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeBilinear(this,e,t)},e.prototype.resizeNearestNeighbor=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeNearestNeighbor(this,e,t)},e.prototype.conv1d=function(e,t,r,n,o,a){return void 0===n&&(n=\"NWC\"),void 0===o&&(o=1),this.throwIfDisposed(),opHandler.conv1d(this,e,t,r,n,o,a)},e.prototype.conv2d=function(e,t,r,n,o,a){return void 0===n&&(n=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.conv2d(this,e,t,r,n,o,a)},e.prototype.conv2dTranspose=function(e,t,r,n,o){return this.throwIfDisposed(),opHandler.conv2dTranspose(this,e,t,r,n,o)},e.prototype.depthwiseConv2D=function(e,t,r,n,o,a){return void 0===n&&(n=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.depthwiseConv2d(this,e,t,r,n,o,a)},e.prototype.separableConv2d=function(e,t,r,n,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a=\"NHWC\"),this.throwIfDisposed(),opHandler.separableConv2d(this,e,t,r,n,o,a)},e.prototype.avgPool=function(e,t,r,n){return this.throwIfDisposed(),opHandler.avgPool(this,e,t,r,n)},e.prototype.maxPool=function(e,t,r,n){return this.throwIfDisposed(),opHandler.maxPool(this,e,t,r,n)},e.prototype.localResponseNormalization=function(e,t,r,n){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===r&&(r=1),void 0===n&&(n=.5),opHandler.localResponseNormalization(this,e,t,r,n)},e.prototype.pool=function(e,t,r,n,o){return this.throwIfDisposed(),opHandler.pool(this,e,t,r,n,o)},e.prototype.variable=function(e,t,r){return void 0===e&&(e=!0),this.throwIfDisposed(),Variable.variable(this,e,t,r)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),opHandler.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),opHandler.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),opHandler.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),opHandler.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,r,n,o){return void 0===n&&(n=0),void 0===o&&(o=0),this.throwIfDisposed(),opHandler.stridedSlice(this,e,t,r,n,o)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),opHandler.depthToSpace(this,e,t)},e.prototype.fft=function(){return this.throwIfDisposed(),opHandler.spectral.fft(this)},e.prototype.ifft=function(){return this.throwIfDisposed(),opHandler.spectral.ifft(this)},e}();Object.defineProperty(Tensor,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.shape&&null!=e.dtype}});var Variable=function(e){function t(t,r,n){void 0===r&&(r=!0);var o=e.call(this,t.shape,t.dtype,null,t.dataId)||this;o.trainable=r,o.name=n,null==o.name&&(o.name=trackerFn().nextVariableId().toString());try{trackerFn().registerVariable(o)}catch(e){throw trackerFn().disposeTensor(o),e}return o}return __extends(t,e),t.variable=function(e,r,n,o){return void 0===r&&(r=!0),null!=o&&o!==e.dtype&&(e=e.asType(o)),new t(e,r,n)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error(\"dtype of the new value (\"+e.dtype+\") and previous value (\"+this.dtype+\") must match\");if(!arraysEqual(e.shape,this.shape))throw new Error(\"shape of the new value (\"+e.shape+\") and previous value (\"+this.shape+\") must match\");trackerFn().disposeTensor(this),this.dataId=e.dataId,trackerFn().registerTensor(this)},t}(Tensor);Object.defineProperty(Variable,Symbol.hasInstance,{value:function(e){return e instanceof Tensor&&null!=e.assign&&e.assign instanceof Function}});var variable=Variable.variable;function getFilteredNodesXToY(e,t,r){for(var n={},o={},a=0;a<t.length;a++)n[t[a].id]=!0;for(a=0;a<e.length;a++){var i=(f=e[a]).inputs;for(var s in i){for(var u=i[s],l=!1,c=0;c<t.length;c++)if(n[u.id]){f.outputs.forEach(function(e){return n[e.id]=!0}),l=!0,o[f.id]=!0;break}if(l)break}}var p={};p[r.id]=!0;var d={};for(a=e.length-1;a>=0;a--)for(i=(f=e[a]).inputs,c=0;c<f.outputs.length;c++)if(p[f.outputs[c].id]){for(var s in i)p[i[s].id]=!0,d[f.id]=!0;break}var h=[];for(a=0;a<e.length;a++){var f;if(o[(f=e[a]).id]&&d[f.id]){var m={};for(var s in f.inputs){var g=f.inputs[s];n[g.id]&&(m[s]=g)}var v=Object.assign({},f);v.inputs=m,v.outputs=f.outputs,h.push(v)}}return h}function backpropagateGradients(e,t){for(var r=function(r){var n=t[r],o=[];if(n.outputs.forEach(function(t){var r=e[t.id];if(null!=r)o.push(r);else{var n=Tensor.make(t.shape,{values:makeZerosTypedArray(t.size,t.dtype)},t.dtype);o.push(n)}}),null==n.gradient)throw new Error(\"Cannot compute gradient: gradient function not found for \"+n.name+\".\");var a=n.gradient(1===n.outputs.length?o[0]:o);for(var i in n.inputs){if(!(i in a))throw new Error(\"Cannot backprop through input \"+i+\". Available gradients found: \"+Object.keys(a)+\".\");var s=a[i](),u=n.inputs[i];if(!arraysEqual(s.shape,u.shape))throw new Error(\"Error in gradient for op \"+n.name+\". The gradient of input '\"+i+\"' has shape '\"+s.shape+\"', which does not match the shape of the input '\"+u.shape+\"'\");if(null==e[u.id])e[u.id]=s;else{var l=e[u.id];e[u.id]=l.add(s),l.dispose()}}},n=t.length-1;n>=0;n--)r(n)}function assertTypesMatch(e,t){assert(e.dtype===t.dtype,\"The dtypes of the first(\"+e.dtype+\") and second(\"+t.dtype+\") input must match\")}function isTensorInList(e,t){for(var r=0;r<t.length;r++)if(t[r].id===e.id)return!0;return!1}function getTensorsInContainer(e){var t=[];return walkTensorContainer(e,t,new Set),t}function walkTensorContainer(e,t,r){if(null!=e)if(e instanceof Tensor)t.push(e);else if(isIterable(e)){var n=e;for(var o in n){var a=n[o];r.has(a)||(r.add(a),walkTensorContainer(a,t,r))}}}function isIterable(e){return Array.isArray(e)||\"object\"==typeof e}var Type,Engine=function(){function e(e,t,r){this.backend=e,this.safeMode=t,this.debugMode=r,this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numDataBuffers=0,this.profiling=!1,this.gradientScopeCount=0,this.customGradientDepth=0,this.keepTensors=new Set,this.tensorInfo=new WeakMap,this.activeScope={track:[],name:\"default scope\"},this.scopeStack=[this.activeScope],this.profiler=new Profiler(e),this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.moveData=function(e){this.write(e,this.readSync(e))},e.prototype.tidy=function(e,t,r){var n=this;void 0===r&&(r=!1);var o,a=null;if(null==t){if(\"function\"!=typeof e)throw new Error(\"Please provide a function to tidy()\");t=e}else{if(\"string\"!=typeof e&&!(e instanceof String))throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");if(\"function\"!=typeof t)throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");a=e}return this.scopedRun(function(){return n.startScope(a,r)},function(){return n.endScope(o,r)},function(){return(o=t())instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o})},e.prototype.scopedRun=function(e,t,r){e();try{var n=r();return t(),n}catch(e){throw t(),e}},e.prototype.nextTensorId=function(){return e.nextTensorId++},e.prototype.nextVariableId=function(){return e.nextVariableId++},e.prototype.runKernel=function(e,t,r){var n,o=this,a=[],i=function(e){return a.push(e),e},s=this.activeScope.name,u=this.numBytes,l=this.numTensors;if(this.scopedRun(function(){return o.customGradientDepth++},function(){return o.customGradientDepth--},function(){n=o.debugMode()?o.profiler.profileKernel(s,function(){return e(o.backend,i)}):e(o.backend,i)}),this.shouldRecord()){var c={id:this.nextTapeNodeId++,name:s,inputs:t,outputs:Array.isArray(n)?n:[n]};null!=r&&(c.gradient=function(e){return r(e,a)}),this.activeTape.push(c)}return this.profiling&&this.activeProfile.kernels.push({name:s,bytesAdded:this.numBytes-u,totalBytesSnapshot:this.numBytes,tensorsAdded:this.numTensors-l,totalTensorsSnapshot:this.numTensors,inputShapes:Object.keys(t).map(function(e){return t[e].shape}),outputShape:Array.isArray(n)?n.map(function(e){return e.shape}):n.shape}),n},e.prototype.registerTensor=function(e){var t=this.tensorInfo.has(e.dataId)?this.tensorInfo.get(e.dataId).refCount:0;this.numTensors++,0===t&&(this.numDataBuffers++,\"complex64\"!==e.dtype&&(this.numBytes+=sizeFromShape(e.shape)*bytesPerElement(e.dtype)),this.tensorInfo.set(e.dataId,{backend:this.backend,dtype:e.dtype,shape:e.shape,refCount:0}),this.backend.register(e.dataId,e.shape,e.dtype)),this.tensorInfo.get(e.dataId).refCount++,e instanceof Variable||this.track(e)},e.prototype.registerVariable=function(e){if(null!=this.registeredVariables[e.name])throw new Error(\"Variable with name \"+e.name+\" was already registered\");this.registeredVariables[e.name]=e},e.prototype.disposeTensor=function(e){this.tensorInfo.has(e.dataId)&&(this.keepTensors.has(e.id)&&this.keepTensors.delete(e.id),this.numTensors--,this.tensorInfo.get(e.dataId).refCount<=1?(this.tensorInfo.get(e.dataId).backend.disposeData(e.dataId),this.numDataBuffers--,\"complex64\"!==e.dtype&&(this.numBytes-=sizeFromShape(e.shape)*bytesPerElement(e.dtype)),this.tensorInfo.delete(e.dataId)):this.tensorInfo.get(e.dataId).refCount--)},e.prototype.disposeVariables=function(){for(var e in this.registeredVariables){var t=this.registeredVariables[e];this.disposeTensor(t),delete this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.profile=function(e){return __awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){return this.profiling=!0,t=this.numBytes,r=this.numTensors,this.activeProfile.kernels=[],this.activeProfile.result=e(),this.profiling=!1,this.activeProfile.peakBytes=Math.max.apply(Math,this.activeProfile.kernels.map(function(e){return e.totalBytesSnapshot})),this.activeProfile.newBytes=this.numBytes-t,this.activeProfile.newTensors=this.numTensors-r,[2,this.activeProfile]})})},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,r){var n={};e.forEach(function(e,t){n[t]=e});var o={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:n,outputs:[t],gradient:function(e){var t={};return r(e).forEach(function(e,r){t[r]=function(){return e}}),t}};this.activeTape.push(o)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.\");return this.keepTensors.add(e.id),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var r={track:[],name:\"unnamed scope\"};e&&(r.name=e),this.scopeStack.push(r),this.activeScope=r},e.prototype.endScope=function(e,t){var r=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var n=new Set(this.keepTensors),o=getTensorsInContainer(e);o.forEach(function(e){return n.add(e.id)});for(var a=0;a<this.activeScope.track.length;a++){var i=this.activeScope.track[a];n.has(i.id)||(null!=this.activeTape?o.push(i):i.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?{track:[],name:\"default scope\"}:this.scopeStack[this.scopeStack.length-1],o.forEach(function(e){!r.keepTensors.has(e.id)&&isTensorInList(e,s.track)&&r.track(e)})},e.prototype.gradients=function(e,t,r,n){var o=this;return void 0===n&&(n=!1),assert(t.length>0,\"gradients() received an empty list of xs.\"),this.tidy(\"gradients\",function(){var a=e();assert(a instanceof Tensor,\"The result y returned by f() must be a tensor.\");var i=getFilteredNodesXToY(o.activeTape,t,a);if(!n&&0===i.length&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");var s={};return s[a.id]=null==r?ones(a.shape):r,backpropagateGradients(s,i),{value:a,grads:t.map(function(e){return s[e.id]})}},!0)},e.prototype.customGrad=function(e){var t=this;return assert(isFunction(e),\"The f passed in customGrad(f) must be a function.\"),function(){for(var r,n,o=[],a=0;a<arguments.length;a++)o[a]=arguments[a];if(assert(o.every(function(e){return e instanceof Tensor}),\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\"),t.scopedRun(function(){return t.customGradientDepth++},function(){return t.customGradientDepth--},function(){n=t.tidy(e.name,function(){var t=e.apply(void 0,o),n=t.value,a=t.gradFunc;return assert(n instanceof Tensor,\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),assert(isFunction(a),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),r=a,n},!0)}),t.shouldRecord()){t.addTapeNode(o,n,function(e){var t=r(e),n=Array.isArray(t)?t:[t];return assert(n.length===o.length,\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),assert(n.every(function(e){return e instanceof Tensor}),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\"),n})}return n}},e.prototype.write=function(e,t){var r=this.tensorInfo.get(e);this.backend!==r.backend&&(r.backend.disposeData(e),r.backend=this.backend,this.backend.register(e,r.shape,r.dtype)),this.backend.write(e,t)},e.prototype.readSync=function(e){return this.tensorInfo.get(e).backend.readSync(e)},e.prototype.read=function(e){return this.tensorInfo.get(e).backend.read(e)},e.prototype.fromPixels=function(e,t){return this.backend.fromPixels(e,t)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){switch(n.label){case 0:return t=now(),[4,this.backend.time(e)];case 1:return(r=n.sent()).wallMs=now()-t,[2,r]}})})},e.prototype.track=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.\");return this.activeScope.track.push(e),e},e.nextTensorId=0,e.nextVariableId=0,e}();function ones(e){var t=makeOnesTypedArray(sizeFromShape(e),\"float32\");return Tensor.make(e,{values:t})}!function(e){e[e.NUMBER=0]=\"NUMBER\",e[e.BOOLEAN=1]=\"BOOLEAN\",e[e.STRING=2]=\"STRING\"}(Type||(Type={}));var MAX_TEXTURE_SIZE,URL_PROPERTIES=[{name:\"DEBUG\",type:Type.BOOLEAN},{name:\"IS_BROWSER\",type:Type.BOOLEAN},{name:\"WEBGL_LAZILY_UNPACK\",type:Type.BOOLEAN},{name:\"WEBGL_CPU_FORWARD\",type:Type.BOOLEAN},{name:\"WEBGL_PACK_BATCHNORMALIZATION\",type:Type.BOOLEAN},{name:\"WEBGL_CONV_IM2COL\",type:Type.BOOLEAN},{name:\"WEBGL_MAX_TEXTURE_SIZE\",type:Type.NUMBER},{name:\"WEBGL_PAGING_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",type:Type.NUMBER},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",type:Type.BOOLEAN},{name:\"WEBGL_VERSION\",type:Type.NUMBER},{name:\"WEBGL_RENDER_FLOAT32_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_FENCE_API_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_SIZE_UPLOAD_UNIFORM\",type:Type.NUMBER},{name:\"BACKEND\",type:Type.STRING},{name:\"EPSILON\",type:Type.NUMBER},{name:\"PROD\",type:Type.BOOLEAN},{name:\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\",type:Type.BOOLEAN}];function isWebGLVersionEnabled(e){try{if(null!=getWebGLContext(e))return!0}catch(e){return!1}return!1}function getWebGLMaxTextureSize(e){if(null==MAX_TEXTURE_SIZE){var t=getWebGLContext(e);MAX_TEXTURE_SIZE=t.getParameter(t.MAX_TEXTURE_SIZE)}return MAX_TEXTURE_SIZE}function getWebGLDisjointQueryTimerVersion(e){if(0===e)return 0;var t=getWebGLContext(e);return hasExtension(t,\"EXT_disjoint_timer_query_webgl2\")&&2===e?2:hasExtension(t,\"EXT_disjoint_timer_query\")?1:0}function isRenderToFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;return createFloatTextureAndBindToFramebuffer(t,e)}function isDownloadFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1;if(!hasExtension(t,\"WEBGL_color_buffer_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;return createFloatTextureAndBindToFramebuffer(t,e)}function isWebGLFenceEnabled(e){return 2===e&&null!=getWebGLContext(e).fenceSync}function isChrome(){return\"undefined\"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}var TENSORFLOWJS_FLAGS_PREFIX=\"tfjsflags\";function getFeaturesFromURL(){var e={};if(\"undefined\"==typeof window||void 0===window.location||void 0===window.location.search)return e;var t=getQueryParams(window.location.search);if(TENSORFLOWJS_FLAGS_PREFIX in t){var r={};t[TENSORFLOWJS_FLAGS_PREFIX].split(\",\").forEach(function(e){var t=e.split(\":\"),n=t[0],o=t[1];r[n]=o}),URL_PROPERTIES.forEach(function(t){t.name in r&&(console.log(\"Setting feature override from URL \"+t.name+\": \"+r[t.name]),t.type===Type.NUMBER?e[t.name]=+r[t.name]:t.type===Type.BOOLEAN?e[t.name]=\"true\"===r[t.name]:t.type===Type.STRING?e[t.name]=r[t.name]:console.warn(\"Unknown URL param: \"+t.name+\".\"))})}return e}function hasExtension(e,t){return null!=e.getExtension(t)}function createFloatTextureAndBindToFramebuffer(e,t){var r=e.createFramebuffer(),n=e.createTexture();e.bindTexture(e.TEXTURE_2D,n);var o=2===t?e.RGBA32F:e.RGBA;e.texImage2D(e.TEXTURE_2D,0,o,1,1,0,e.RGBA,e.FLOAT,null),e.bindFramebuffer(e.FRAMEBUFFER,r),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,n,0);var a=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(n),e.deleteFramebuffer(r),a}function getQueryParams(e){var t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(e){for(var r=[],n=1;n<arguments.length;n++)r[n-1]=arguments[n];return decodeParam(t,r[0],r[1]),r.join(\"=\")}),t}function decodeParam(e,t,r){e[decodeURIComponent(t)]=decodeURIComponent(r||\"\")}var EPSILON_FLOAT16=.001,TEST_EPSILON_FLOAT16=.1,EPSILON_FLOAT32=1e-7,TEST_EPSILON_FLOAT32=.001,Environment=function(){function e(e){this.features={},this.registry={},null!=e&&(this.features=e),this.get(\"DEBUG\")&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")}return e.setBackend=function(e,t){if(void 0===t&&(t=!1),!(e in ENV.registry))throw new Error(\"Backend name '\"+e+\"' not found in registry\");ENV.engine.backend=ENV.findBackend(e),ENV.backendName=e},e.getBackend=function(){return ENV.initEngine(),ENV.backendName},e.disposeVariables=function(){ENV.engine.disposeVariables()},e.memory=function(){return ENV.engine.memory()},e.profile=function(e){return ENV.engine.profile(e)},e.tidy=function(e,t,r){return void 0===r&&(r=!1),ENV.engine.tidy(e,t,r)},e.dispose=function(e){getTensorsInContainer(e).forEach(function(e){return e.dispose()})},e.keep=function(e){return ENV.engine.keep(e)},e.time=function(e){return ENV.engine.time(e)},e.prototype.get=function(e){return e in this.features?this.features[e]:(this.features[e]=this.evaluateFeature(e),this.features[e])},e.prototype.getFeatures=function(){return this.features},e.prototype.set=function(e,t){this.features[e]=t},e.prototype.getBestBackendName=function(){var e=this;if(0===Object.keys(this.registry).length)throw new Error(\"No backend found in registry.\");return Object.keys(this.registry).map(function(t){return{name:t,entry:e.registry[t]}}).sort(function(e,t){return t.entry.priority-e.entry.priority})[0].name},e.prototype.evaluateFeature=function(e){if(\"DEBUG\"===e)return!1;if(\"IS_BROWSER\"===e)return\"undefined\"!=typeof window;if(\"IS_NODE\"===e)return\"undefined\"!=typeof process&&void 0!==process.versions.node;if(\"IS_CHROME\"===e)return isChrome();if(\"WEBGL_CPU_FORWARD\"===e)return!0;if(\"WEBGL_PACK_BATCHNORMALIZATION\"===e)return!1;if(\"WEBGL_LAZILY_UNPACK\"===e)return!1;if(\"WEBGL_CONV_IM2COL\"===e)return!1;if(\"WEBGL_PAGING_ENABLED\"===e)return this.get(\"IS_BROWSER\")&&!this.get(\"PROD\");if(\"WEBGL_MAX_TEXTURE_SIZE\"===e)return getWebGLMaxTextureSize(this.get(\"WEBGL_VERSION\"));if(\"IS_TEST\"===e)return!1;if(\"BACKEND\"===e)return this.getBestBackendName();if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"===e){var t=this.get(\"WEBGL_VERSION\");return 0===t?0:getWebGLDisjointQueryTimerVersion(t)}if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\"===e)return this.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!isMobile();if(\"HAS_WEBGL\"===e)return this.get(\"WEBGL_VERSION\")>0;if(\"WEBGL_VERSION\"===e)return isWebGLVersionEnabled(2)?2:isWebGLVersionEnabled(1)?1:0;if(\"WEBGL_RENDER_FLOAT32_ENABLED\"===e)return isRenderToFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"===e)return isDownloadFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_FENCE_API_ENABLED\"===e)return isWebGLFenceEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_SIZE_UPLOAD_UNIFORM\"===e)return this.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?4:0;if(\"TEST_EPSILON\"===e)return 32===this.backend.floatPrecision()?TEST_EPSILON_FLOAT32:TEST_EPSILON_FLOAT16;if(\"EPSILON\"===e)return 32===this.backend.floatPrecision()?EPSILON_FLOAT32:EPSILON_FLOAT16;if(\"PROD\"===e)return!1;if(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\"===e)return!this.get(\"PROD\");throw new Error(\"Unknown feature \"+e+\".\")},e.prototype.setFeatures=function(e){this.features=Object.assign({},e)},e.prototype.reset=function(){this.features=getFeaturesFromURL(),null!=this.globalEngine&&(this.globalEngine=null)},Object.defineProperty(e.prototype,\"backend\",{get:function(){return this.engine.backend},enumerable:!0,configurable:!0}),e.prototype.findBackend=function(e){return e in this.registry?this.registry[e].backend:null},e.prototype.registerBackend=function(e,t,r,n){var o=this;if(void 0===r&&(r=1),e in this.registry)return console.warn(e+\" backend was already registered. Reusing existing backend\"),null!=n&&n(function(){return o.engine}),!1;try{var a=t();return a.setDataMover({moveData:function(e){return o.engine.moveData(e)}}),this.registry[e]={backend:a,priority:r},!0}catch(t){return console.warn(\"Registration of backend \"+e+\" failed\"),console.warn(t.stack||t.message),!1}},e.prototype.removeBackend=function(e){if(!(e in this.registry))throw new Error(e+\" backend not found in registry\");this.registry[e].backend.dispose(),delete this.registry[e]},Object.defineProperty(e.prototype,\"engine\",{get:function(){return this.initEngine(),this.globalEngine},enumerable:!0,configurable:!0}),e.prototype.initEngine=function(){var e=this;if(null==this.globalEngine){this.backendName=this.get(\"BACKEND\");var t=this.findBackend(this.backendName);this.globalEngine=new Engine(t,!1,function(){return e.get(\"DEBUG\")})}},e}();function getGlobalNamespace(){var e;if(\"undefined\"!=typeof window)e=window;else{if(\"undefined\"==typeof process)throw new Error(\"Could not find a global object\");e=process}return e}function getOrMakeEnvironment(){var e=getGlobalNamespace();return null==e.ENV&&(e.ENV=new Environment(getFeaturesFromURL()),setTensorTracker(function(){return e.ENV.engine})),e.ENV}var ENV=getOrMakeEnvironment(),environment=Object.freeze({Environment:Environment,ENV:ENV});function grad(e){return assert(isFunction(e),\"The f passed in grad(f) must be a function\"),function(t,r){return assert(t instanceof Tensor,\"The x passed in grad(f)(x) must be a tensor\"),assert(null==r||r instanceof Tensor,\"The dy passed in grad(f)(x, dy) must be a tensor\"),ENV.engine.tidy(function(){var n=ENV.engine.gradients(function(){return e(t)},[t],r),o=n.value,a=n.grads;return null!=r&&assertShapesMatch(o.shape,r.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),checkGrads(a),a[0]})}}function grads(e){return assert(isFunction(e),\"The f passed in grads(f) must be a function\"),function(t,r){return assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in grads(f)(args) must be an array of tensors\"),assert(null==r||r instanceof Tensor,\"The dy passed in grads(f)(args, dy) must be a tensor\"),ENV.engine.tidy(function(){var n=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,r),o=n.value,a=n.grads;return null!=r&&assertShapesMatch(o.shape,r.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(a),a})}}function valueAndGrad(e){return assert(isFunction(e),\"The f passed in valueAndGrad(f) must be a function\"),function(t,r){assert(t instanceof Tensor,\"The x passed in valueAndGrad(f)(x) must be a tensor\"),assert(null==r||r instanceof Tensor,\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");var n=ENV.engine.gradients(function(){return e(t)},[t],r),o=n.grads,a=n.value;return checkGrads(o),{grad:o[0],value:a}}}function valueAndGrads(e){return assert(isFunction(e),\"The f passed in valueAndGrads(f) must be a function\"),function(t,r){assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),assert(null==r||r instanceof Tensor,\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");var n=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,r);return null!=r&&assertShapesMatch(n.value.shape,r.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(n.grads),n}}function variableGrads(e,t){if(assert(isFunction(e),\"The f passed in variableGrads(f) must be a function\"),assert(null==t||Array.isArray(t)&&t.every(function(e){return e instanceof Variable}),\"The varList passed in variableGrads(f, varList) must be an array of variables\"),null==t)for(var r in t=[],ENV.engine.registeredVariables)t.push(ENV.engine.registeredVariables[r]);var n=t.length;assert((t=t.filter(function(e){return e.trainable})).length>0,\"variableGrads() expects at least one of the input variables to be trainable, but none of the \"+n+\" variables is trainable.\");var o=ENV.engine.gradients(e,t,null,!0),a=o.value,i=o.grads;assert(i.some(function(e){return null!=e}),\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),assert(0===a.rank,\"The f passed in variableGrads(f) must return a scalar, but it returned a rank-\"+a.rank+\" tensor\");var s={};return t.forEach(function(e,t){null!=i[t]&&(s[e.name]=i[t])}),{value:a,grads:s}}function customGrad(e){return ENV.engine.customGrad(e)}function checkGrads(e){if(e.filter(function(e){return null==e}).length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that\\n    the f you passed encloses all operations that lead from x to y.\")}var tidy=Environment.tidy,keep=Environment.keep,dispose=Environment.dispose,time=Environment.time,profile=Environment.profile;function warn(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.get(\"IS_TEST\")||console.warn.apply(console,e)}function getReshaped(e,t,r,n){void 0===n&&(n=!0);var o=[];if(n)(o=o.concat(t.slice(0))).push(e[0]/r),o=o.concat(e.slice(1));else{o=o.concat(e[0]);for(var a=t.length,i=0;i<a;++i)o=o.concat([e[i+1]/t[i],t[i]]);o=o.concat(e.slice(a+1))}return o}function getPermuted(e,t,r){void 0===r&&(r=!0);var n=[];if(r){n.push(t);for(var o=t+1;o<e;++o)o<=2*t?(n.push(o),n.push(o-(t+1))):n.push(o)}else{var a=[],i=[];for(o=1;o<e;++o)o>=2*t+1||o%2==1?i.push(o):a.push(o);n.push.apply(n,a),n.push(0),n.push.apply(n,i)}return n}function getReshapedPermuted(e,t,r,n){void 0===n&&(n=!0);var o=[];n?o.push(e[0]/r):o.push(e[0]*r);for(var a=1;a<e.length;++a)a<=t.length?n?o.push(t[a-1]*e[a]):o.push(e[a]/t[a-1]):o.push(e[a]);return o}function getSliceBeginCoords(e,t){for(var r=[0],n=0;n<t;++n)r.push(e[n][0]);return r}function getSliceSize(e,t,r){for(var n=e.slice(0,1),o=0;o<r;++o)n.push(e[o+1]-t[o][0]-t[o][1]);return n}function axesAreInnerMostDims(e,t){for(var r=0;r<e.length;++r)if(e[e.length-r-1]!==t-1-r)return!1;return!0}function combineLocations(e,t,r){for(var n=e.length+t.length,o=[],a=0,i=0,s=0;s<n;s++)-1===r.indexOf(s)?o.push(e[a++]):o.push(t[i++]);return o}function computeOutAndReduceShapes(e,t){for(var r=[],n=e.length,o=0;o<n;o++)-1===t.indexOf(o)&&r.push(e[o]);return[r,t.map(function(t){return e[t]})]}function expandShapeToKeepDim(e,t){return combineLocations(e,t.map(function(e){return 1}),t)}function parseAxisParam(e,t){var r=t.length;return assert((e=null==e?t.map(function(e,t){return t}):[].concat(e)).every(function(e){return e>=-r&&e<r}),\"All values in axis param must be in range [-\"+r+\", \"+r+\") but got axis \"+e),assert(e.every(function(e){return isInt(e)}),\"All values in axis param must be integers but got axis \"+e),e.map(function(e){return e<0?r+e:e})}function assertAxesAreInnerMostDims(e,t,r){assert(axesAreInnerMostDims(t,r),e+\" supports only inner-most axes for now. Got axes \"+t+\" and rank-\"+r+\" input.\")}function getAxesPermutation(e,t){if(axesAreInnerMostDims(e,t))return null;for(var r=[],n=0;n<t;++n)-1===e.indexOf(n)&&r.push(n);return e.forEach(function(e){return r.push(e)}),r}function getUndoAxesPermutation(e){return e.map(function(e,t){return[t,e]}).sort(function(e,t){return e[1]-t[1]}).map(function(e){return e[0]})}function getInnerMostAxes(e,t){for(var r=[],n=t-e;n<t;++n)r.push(n);return r}function assertParamsConsistent(e,t){var r=e[0].length;e.forEach(function(e,t){assert(e.length===r,\"Error in concat\"+r+\"D: rank of tensors[\"+t+\"] must be the same as the rank of the rest (\"+r+\")\")}),assert(t>=0&&t<r,\"Error in concat\"+r+\"D: axis must be between 0 and \"+(r-1)+\".\");var n=e[0];e.forEach(function(e,o){for(var a=0;a<r;a++)assert(a===t||e[a]===n[a],\"Error in concat\"+r+\"D: Shape of tensors[\"+o+\"] (\"+e+\") does not match the shape of the rest (\"+n+\") along the non-concatenated axis \"+o+\".\")})}function computeOutShape(e,t){for(var r=e[0].slice(),n=1;n<e.length;n++)r[t]+=e[n][t];return r}function prepareAndValidate(e,t){if(e.rank<1)throw new Error(\"tf.gatherND() expects the input to be rank 1 or higher, but the rank was \"+e.rank+\".\");if(t.rank<1)throw new Error(\"tf.gatherND() expects the indices to be rank 1 or higher, but the rank was \"+t.rank+\".\");if(\"int32\"!==t.dtype)throw new Error(\"tf.gatherND() expects the indices to be int32 type, but the dtype was \"+t.dtype+\".\");if(t.shape[t.rank-1]>e.rank)throw new Error(\"index innermost dimension length must be <= tensor rank; saw: \"+t.shape[t.rank-1]+\" vs. \"+e.rank);if(0===e.size)throw new Error(\"Requested more than 0 entries, but input is empty. Input shape: \"+e.shape+\".\");for(var r=t.shape,n=r[r.length-1],o=1,a=0;a<r.length-1;++a)o*=r[a];var i=e.shape,s=r.slice();s.pop();var u=1;for(a=n;a<e.rank;++a)u*=i[a],s.push(i[a]);var l=computeStrides(e.shape).map(function(e){return e/u}).concat([1]).slice(0,n);return[s,o,u,l]}var PARALLELIZE_THRESHOLD=30;function computeOptimalWindowSize(e){return e<=PARALLELIZE_THRESHOLD?e:nearestDivisor(e,Math.floor(Math.sqrt(e)))}function validateUpdateShape(e,t,r){var n=t.rank>1?t.shape[t.rank-1]:1,o=t.rank>1?t.rank-1:1,a=\"Must have updates.shape = indices.shape[:batchDim] + shape[sliceDim:], got updates.shape: \"+r.shape+\", indices.shape: \"+t.shape+\", shape: \"+e+\", sliceDim: \"+n+\", and batchDim: \"+o+\".\";if(r.rank<o)throw new Error(a+\" update.rank < \"+o+\". \");if(e.length<n+(r.rank-o))throw new Error(a+\" Output shape length < \"+(n+(r.rank-o)));if(r.rank!==o+e.length-n)throw new Error(a+\" update.rank != \"+(o+e.length-n));for(var i=0;i<o;++i)if(r.shape[i]!==t.shape[i])throw new Error(a+\" updates.shape[\"+i+\"] (\"+r.shape[i]+\") != indices.shape[\"+i+\"] (\"+t.shape[i]+\").\");for(i=0;i<r.rank-o;++i)if(r.shape[i+o]!==e[i+n])throw new Error(a+\" updates.shape[\"+(i+o)+\"] (\"+r.shape[i+o]+\") != shape[\"+(i+o)+\"] (\"+e[i+o]+\")\")}function validateInput(e,t,r){if(t.rank<1)throw new Error(\"tf.scatterND() expects the indices to be rank 1 or higher, but the rank was \"+t.rank+\".\");if(e.rank<1)throw new Error(\"tf.scatterND() expects the updates to be rank 1 or higher, but the rank was \"+e.rank+\".\");if(\"int32\"!==t.dtype)throw new Error(\"The dtype of 'indices' should be int32, but got dtype: \"+t.dtype);if(r.length<1)throw new Error(\"Output rank must be greater or equal to 1, but got shape: \"+r);if(0===r.length){if(0===t.size)throw new Error(\"Indices specified for empty output. indices shape: \"+t.shape);if(0===e.size)throw new Error(\"Updates specified for empty output. updates shape: \"+e.shape)}validateUpdateShape(r,t,e)}function calculateShapes(e,t,r){for(var n=t.rank>1?t.shape[t.rank-1]:1,o=r.length,a=1,i=n;i<o;++i)a*=r[i];var s=n<1?1:n,u=t.size/s,l=computeStrides(r).concat([1]);return{sliceRank:n,numUpdates:u,sliceSize:a,strides:l.slice(l.length-n,l.length),outputSize:sizeFromShape(r)}}function segOpComputeOptimalWindowSize(e,t){var r,n=!1;for(e<=PARALLELIZE_THRESHOLD?(r=e,n=!0):r=nearestDivisor(e,Math.floor(Math.sqrt(e)));!n;){if(r>t||r===e){n=!0;break}r=nearestDivisor(e,r+1)}return r}function computeOutShape$1(e,t,r){for(var n=[],o=e.length,a=0;a<o;a++)a!==t?n.push(e[a]):n.push(r);return n}function assertParamsValid(e,t,r){assert(e.rank===t.length,\"Error in slice\"+e.rank+\"D: Length of begin \"+t+\" must match the rank of the array (\"+e.rank+\").\"),assert(e.rank===r.length,\"Error in slice\"+e.rank+\"D: Length of size \"+r+\" must match the rank of the array (\"+e.rank+\").\");for(var n=0;n<e.rank;++n)assert(t[n]+r[n]<=e.shape[n],\"Error in slice\"+e.rank+\"D: begin[\"+n+\"] + size[\"+n+\"] (\"+(t[n]+r[n])+\") would overflow input.shape[\"+n+\"] (\"+e.shape[n]+\")\")}function getStridedSlicedInfo(e,t,r,n,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");for(var l=[],c=[],p=[],d=0;d<e.length;d++)l[d]=startForAxis(o,t,n,e,d),c[d]=stopForAxis(a,r,n,e,d),u&1<<d&&(c[d]=l[d]+1,p.push(d));var h=new Array(e.length).fill(0);return h=h.map(function(e,t){for(var r=0,o=l[t];!(n[t]>0?o>=c[t]:o<=c[t]);o+=n[t])r+=1;return r}),[l,h,p]}function startForAxis(e,t,r,n,o){var a=t[o];e&1<<o&&(a=r[o]>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var i=n[o];return a<0&&(a+=i),a=clamp(0,a,i-1)}function stopForAxis(e,t,r,n,o){var a=t[o];e&1<<o&&(a=r[o]>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var i=n[o];return a<0&&(a+=i),a=r[o]>0?clamp(0,a,i):clamp(-1,a,i-1)}function inferShape(e){var t=e;if(isTypedArray(e))return[e.length];if(!Array.isArray(e))return[];for(var r=[];t instanceof Array;)r.push(t.length),t=t[0];return e instanceof Array&&ENV.get(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")&&deepAssertShapeConsistency(e,r,[]),r}function deepAssertShapeConsistency(e,t,r){if(r=r||[],e instanceof Array){assert(t.length>0,function(){return\"Element arr[\"+r.join(\"][\")+\"] should be a primitive, but is an array of \"+e.length+\" elements\"}),assert(e.length===t[0],function(){return\"Element arr[\"+r.join(\"][\")+\"] should have \"+t[0]+\" elements, but has \"+e.length+\" elements\"});for(var n=t.slice(1),o=0;o<e.length;++o)deepAssertShapeConsistency(e[o],n,r.concat(o))}else assert(0===t.length,function(){return\"Element arr[\"+r.join(\"][\")+\"] is a primitive, but should be an array of \"+t[0]+\" elements\"})}function convertToTensor(e,t,r,n){if(void 0===n&&(n=\"float32\"),n=n||\"float32\",e instanceof Tensor)return e;if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"Argument '\"+t+\"' passed to '\"+r+\"' must be a Tensor or TensorLike, but got \"+e.constructor.name);var o=inferShape(e);return isTypedArray(e)||Array.isArray(e)||(e=[e]),Tensor.make(o,{values:toTypedArray(e,n,ENV.get(\"DEBUG\"))},n)}function convertToTensorArray(e,t,r){if(!Array.isArray(e))throw new Error(\"Argument \"+t+\" passed to \"+r+\" must be a `Tensor[]` or `TensorLike[]`\");return e.map(function(e,n){return convertToTensor(e,t+\"[\"+n+\"]\",r)})}function op(e){var t=Object.keys(e);if(1!==t.length)throw new Error(\"Please provide an object with a single key (operation name) mapping to a function. Got an object with \"+t.length+\" keys.\");var r=t[0],n=e[r];r.endsWith(\"_\")&&(r=r.substring(0,r.length-1));var o=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.engine.startScope(r);try{var o=n.apply(void 0,e);return o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),ENV.engine.endScope(o),o}catch(e){throw ENV.engine.endScope(null),e}};return Object.defineProperty(o,\"name\",{value:r,configurable:!0}),o}function softmax_(e,t){void 0===t&&(t=-1);var r=convertToTensor(e,\"logits\",\"softmax\");if(-1===t&&(t=r.rank-1),t!==r.rank-1)throw Error(\"Softmax along a non-last dimension is not yet supported. Logits was rank \"+r.rank+\" and dim was \"+t);return customGrad(function(e){var r=e.logSumExp([t],!0),n=e.toFloat().sub(r).exp();return{value:n,gradFunc:function(e){var r=e.mul(n);return r.sub(r.sum([t],!0).mul(n))}}})(r)}function logSoftmax_(e,t){void 0===t&&(t=-1);var r=convertToTensor(e,\"logits\",\"logSoftmax\");if(-1===t&&(t=r.rank-1),t!==r.rank-1)throw Error(\"Log Softmax along a non-last dimension is not yet supported. Logits was rank \"+r.rank+\" and axis was \"+t);return customGrad(function(e){var r=e.max(t,!0),n=e.sub(r),o=n.toFloat().sub(n.exp().sum(t,!0).log());return{value:o,gradFunc:function(e){var r=o.exp();return e.sub(e.sum(t,!0).mul(r))}}})(r)}var softmax=op({softmax_:softmax_}),logSoftmax=op({logSoftmax_:logSoftmax_});function complex_(e,t){var r=convertToTensor(e,\"real\",\"complex\"),n=convertToTensor(t,\"imag\",\"complex\");return assertShapesMatch(r.shape,n.shape,\"real and imag shapes, \"+r.shape+\" and \"+n.shape+\", must match in call to tf.complex().\"),ENV.engine.runKernel(function(e){return e.complex(r,n)},{$real:r,$imag:n})}function real_(e){var t=convertToTensor(e,\"input\",\"real\");return ENV.engine.runKernel(function(e){return e.real(t)},{$input:t})}function imag_(e){var t=convertToTensor(e,\"input\",\"imag\");return ENV.engine.runKernel(function(e){return e.imag(t)},{$input:t})}var complex=op({complex_:complex_}),real=op({real_:real_}),imag=op({imag_:imag_});function tensor(e,t,r){if(void 0===r&&(r=\"float32\"),\"complex64\"===r)throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"values passed to tensor(values) must be an array of numbers or booleans, or a TypedArray\");var n=inferShape(e);return null!=t&&1!==n.length&&assertShapesMatch(t,n,\"Error creating a new Tensor. Inferred shape (\"+n+\") does not match the provided shape (\"+t+\"). \"),isTypedArray(e)||Array.isArray(e)||(e=[e]),t=t||n,Tensor.make(t,{values:toTypedArray(e,r,ENV.get(\"DEBUG\"))},r)}function scalar(e,t){if(void 0===t&&(t=\"float32\"),(isTypedArray(e)||Array.isArray(e))&&\"complex64\"!==t)throw new Error(\"Error creating a new Scalar: value must be a primitive (number|boolean)\");return tensor(e,[],t)}function tensor1d(e,t){void 0===t&&(t=\"float32\"),assertNonNull(e);var r=inferShape(e);if(1!==r.length)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return tensor(e,r,t)}function tensor2d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&2!==t.length)throw new Error(\"tensor2d() requires shape to have two numbers\");var n=inferShape(e);if(2!==n.length&&1!==n.length)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return tensor(e,t=t||n,r)}function tensor3d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&3!==t.length)throw new Error(\"tensor3d() requires shape to have three numbers\");var n=inferShape(e);if(3!==n.length&&1!==n.length)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function tensor4d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&4!==t.length)throw new Error(\"tensor4d() requires shape to have four numbers\");var n=inferShape(e);if(4!==n.length&&1!==n.length)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function tensor5d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&5!==t.length)throw new Error(\"tensor5d() requires shape to have five numbers\");var n=inferShape(e);if(5!==n.length&&1!==n.length)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function tensor6d(e,t,r){if(void 0===r&&(r=\"float32\"),assertNonNull(e),null!=t&&6!==t.length)throw new Error(\"tensor6d() requires shape to have six numbers\");var n=inferShape(e);if(6!==n.length&&1!==n.length)throw new Error(\"tensor6d() requires values to be number[][][][] or flat/TypedArray\");if(1===n.length&&null==t)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||n,r)}function ones$1(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var r=ones$1(e,\"float32\"),n=ones$1(e,\"float32\");return complex(r,n)}var o=makeOnesTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function zeros(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var r=zeros(e,\"float32\"),n=zeros(e,\"float32\");return complex(r,n)}var o=makeZerosTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function fill(e,t,r){void 0===r&&(r=\"float32\");var n=getTypedArrayFromDType(r,sizeFromShape(e));return n.fill(t),Tensor.make(e,{values:n},r)}function onesLike_(e){var t=convertToTensor(e,\"x\",\"onesLike\");return ones$1(t.shape,t.dtype)}function zerosLike_(e){var t=convertToTensor(e,\"x\",\"zerosLike\");return zeros(t.shape,t.dtype)}function linspace(e,t,r){if(0===r)throw new Error(\"Cannot request zero samples\");var n=(t-e)/(r-1),o=makeZerosTypedArray(r,\"float32\");o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+n;return tensor1d(o,\"float32\")}function range(e,t,r,n){if(void 0===r&&(r=1),void 0===n&&(n=\"float32\"),0===r)throw new Error(\"Cannot have a step of zero\");if(e===t||e<t&&r<0||t<e&&r>1)return zeros([0],n);var o=makeZerosTypedArray(Math.abs(Math.ceil((t-e)/r)),n);t<e&&1===r&&(r=-1),o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+r;return tensor1d(o,n)}var DType,Rank,UpcastInt32AndMap,UpcastBoolAndMap,UpcastFloat32AndMap,UpcastComplex64AndMap,onesLike=op({onesLike_:onesLike_}),zerosLike=op({zerosLike_:zerosLike_});!function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\"}(DType||(DType={})),function(e){e.R0=\"R0\",e.R1=\"R1\",e.R2=\"R2\",e.R3=\"R3\",e.R4=\"R4\",e.R5=\"R5\",e.R6=\"R6\"}(Rank||(Rank={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"int32\",e.complex64=\"complex64\"}(UpcastInt32AndMap||(UpcastInt32AndMap={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\",e.complex64=\"complex64\"}(UpcastBoolAndMap||(UpcastBoolAndMap={})),function(e){e.float32=\"float32\",e.int32=\"float32\",e.bool=\"float32\",e.complex64=\"complex64\"}(UpcastFloat32AndMap||(UpcastFloat32AndMap={})),function(e){e.float32=\"complex64\",e.int32=\"complex64\",e.bool=\"complex64\",e.complex64=\"complex64\"}(UpcastComplex64AndMap||(UpcastComplex64AndMap={}));var upcastTypeMap={float32:UpcastFloat32AndMap,int32:UpcastInt32AndMap,bool:UpcastBoolAndMap,complex64:UpcastComplex64AndMap};function upcastType(e,t){return upcastTypeMap[e][t]}function sumOutType(e){return upcastType(e,\"int32\")}var DataStorage=function(){function e(e){this.dataMover=e,this.data=new WeakMap}return e.prototype.get=function(e){return this.data.has(e)||this.dataMover.moveData(e),this.data.get(e)},e.prototype.set=function(e,t){this.data.set(e,t)},e.prototype.has=function(e){return this.data.has(e)},e.prototype.delete=function(e){return this.data.delete(e)},e}(),KernelBackend=function(){function e(){}return e.prototype.time=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.read=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.readSync=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.disposeData=function(e){throw new Error(\"Not yet implemented.\")},e.prototype.write=function(e,t){throw new Error(\"Not yet implemented.\")},e.prototype.fromPixels=function(e,t){throw new Error(\"Not yet implemented.\")},e.prototype.register=function(e,t,r){throw new Error(\"Not yet implemented.\")},e.prototype.memory=function(){throw new Error(\"Not yet implemented.\")},e.prototype.floatPrecision=function(){throw new Error(\"Not yet implemented\")},e.prototype.batchMatMul=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.slice=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.stridedSlice=function(e,t,r,n,o,a,i,s,u){throw new Error(\"Not yet implemented\")},e.prototype.reverse=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.concat=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.neg=function(e){throw new Error(\"Not yet implemented\")},e.prototype.add=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.addN=function(e){throw new Error(\"Not yet implemented\")},e.prototype.subtract=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.multiply=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.realDivide=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.floorDiv=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.sum=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.prod=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.unsortedSegmentSum=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.argMin=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.argMax=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.equal=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.notEqual=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.less=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.lessEqual=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.greater=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.greaterEqual=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.logicalNot=function(e){throw new Error(\"Not yet implemented\")},e.prototype.logicalAnd=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.logicalOr=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.where=function(e){throw new Error(\"Not yet implemented\")},e.prototype.select=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.topk=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.min=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.minimum=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.mod=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.max=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.maximum=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.all=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.any=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.squaredDifference=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.ceil=function(e){throw new Error(\"Not yet implemented\")},e.prototype.floor=function(e){throw new Error(\"Not yet implemented\")},e.prototype.round=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sign=function(e){throw new Error(\"Not yet implemented\")},e.prototype.pow=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.exp=function(e){throw new Error(\"Not yet implemented\")},e.prototype.expm1=function(e){throw new Error(\"Not yet implemented\")},e.prototype.log=function(e){throw new Error(\"Not yet implemented\")},e.prototype.log1p=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sqrt=function(e){throw new Error(\"Not yet implemented\")},e.prototype.rsqrt=function(e){throw new Error(\"Not yet implemented\")},e.prototype.square=function(e){throw new Error(\"Not yet implemented\")},e.prototype.reciprocal=function(e){throw new Error(\"Not yet implemented\")},e.prototype.relu=function(e){throw new Error(\"Not yet implemented\")},e.prototype.elu=function(e){throw new Error(\"Not yet implemented\")},e.prototype.eluDer=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.selu=function(e){throw new Error(\"Not yet implemented\")},e.prototype.int=function(e){throw new Error(\"Not yet implemented\")},e.prototype.clip=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.abs=function(e){throw new Error(\"Not yet implemented\")},e.prototype.complexAbs=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sigmoid=function(e){throw new Error(\"Not yet implemented\")},e.prototype.softplus=function(e){throw new Error(\"Not yet implemented\")},e.prototype.sin=function(e){throw new Error(\"Not yet implemented\")},e.prototype.cos=function(e){throw new Error(\"Not yet implemented\")},e.prototype.tan=function(e){throw new Error(\"Not yet implemented\")},e.prototype.asin=function(e){throw new Error(\"Not yet implemented\")},e.prototype.acos=function(e){throw new Error(\"Not yet implemented\")},e.prototype.atan=function(e){throw new Error(\"Not yet implemented\")},e.prototype.atan2=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.sinh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.cosh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.tanh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.asinh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.acosh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.atanh=function(e){throw new Error(\"Not yet implemented\")},e.prototype.erf=function(e){throw new Error(\"Not yet implemented\")},e.prototype.step=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.conv2d=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.conv2dDerInput=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.conv2dDerFilter=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.depthwiseConv2D=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.depthwiseConv2DDerInput=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.depthwiseConv2DDerFilter=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.maxPool=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.maxPoolBackprop=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.avgPool=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.avgPoolBackprop=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.reshape=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.cast=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.tile=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.pad=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.transpose=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.gather=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.gatherND=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.scatterND=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.batchToSpaceND=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.spaceToBatchND=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.resizeBilinear=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.resizeBilinearBackprop=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.resizeNearestNeighbor=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.resizeNearestNeighborBackprop=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.batchNormalization=function(e,t,r,n,o,a){throw new Error(\"Not yet implemented\")},e.prototype.localResponseNormalization4D=function(e,t,r,n,o){throw new Error(\"Not yet implemented\")},e.prototype.LRNGrad=function(e,t,r,n,o,a,i){throw new Error(\"Not yet implemented\")},e.prototype.multinomial=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.oneHot=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.cumsum=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.nonMaxSuppression=function(e,t,r,n,o){throw new Error(\"Not yet implemented\")},e.prototype.fft=function(e){throw new Error(\"Not yet implemented\")},e.prototype.ifft=function(e){throw new Error(\"Not yet implemented\")},e.prototype.complex=function(e,t){throw new Error(\"Not yet implemented\")},e.prototype.real=function(e){throw new Error(\"Not yet implemented\")},e.prototype.imag=function(e){throw new Error(\"Not yet implemented\")},e.prototype.cropAndResize=function(e,t,r,n,o,a){throw new Error(\"Not yet implemented\")},e.prototype.depthToSpace=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.split=function(e,t,r){throw new Error(\"Not yet implemented\")},e.prototype.sparseToDense=function(e,t,r,n){throw new Error(\"Not yet implemented\")},e.prototype.setDataMover=function(e){throw new Error(\"Not yet implemented\")},e.prototype.dispose=function(){throw new Error(\"Not yet implemented\")},e}();function castTensor(e,t,r){if(\"complex64\"===t){if(\"complex64\"===e.dtype)return e.clone();var n=zeros(e.shape),o=e.toFloat(),a=r.complex(o,n);return n.dispose(),o.dispose(),a}if(!hasEncodingLoss(e.dtype,t))return Tensor.make(e.shape,{dataId:e.dataId},t);if(\"complex64\"===e.dtype){var i=r.real(e);a=i.cast(t);return i.dispose(),a}if(\"int32\"===t)return r.int(e);if(\"bool\"===t){var s=scalar(0,e.dtype);a=r.notEqual(e,s);return s.dispose(),a}throw new Error(\"Error in Cast: unknown dtype argument (\"+t+\")\")}function reshapeTensor(e,t){return Tensor.make(t,{dataId:e.dataId},e.dtype)}function mergeRealAndImagArrays(e,t){if(e.length!==t.length)throw new Error(\"Cannot merge real and imag arrays of different lengths. real:\"+e.length+\", imag: \"+t.length+\".\");for(var r=new Float32Array(2*e.length),n=0;n<r.length;n+=2)r[n]=e[n/2],r[n+1]=t[n/2];return r}function splitRealAndImagArrays(e){for(var t=new Float32Array(e.length/2),r=new Float32Array(e.length/2),n=0;n<e.length;n+=2)t[n/2]=e[n],r[n/2]=e[n+1];return{real:t,imag:r}}function complexWithEvenIndex(e){for(var t=Math.ceil(e.length/4),r=new Float32Array(t),n=new Float32Array(t),o=0;o<e.length;o+=4)r[Math.floor(o/4)]=e[o],n[Math.floor(o/4)]=e[o+1];return{real:r,imag:n}}function complexWithOddIndex(e){for(var t=Math.floor(e.length/4),r=new Float32Array(t),n=new Float32Array(t),o=2;o<e.length;o+=4)r[Math.floor(o/4)]=e[o],n[Math.floor(o/4)]=e[o+1];return{real:r,imag:n}}function getComplexWithIndex(e,t){return{real:e[2*t],imag:e[2*t+1]}}function assignToTypedArray(e,t,r,n){e[2*n]=t,e[2*n+1]=r}function exponents(e,t){for(var r=new Float32Array(e/2),n=new Float32Array(e/2),o=0;o<Math.ceil(e/2);o++){var a=(t?2:-2)*Math.PI*(o/e);r[o]=Math.cos(a),n[o]=Math.sin(a)}return{real:r,imag:n}}function exponent(e,t,r){var n=(r?2:-2)*Math.PI*(e/t);return{real:Math.cos(n),imag:Math.sin(n)}}function nonMaxSuppressionImpl(e,t,r,n,o){for(var a=Array.from(t).map(function(e,t){return{score:e,boxIndex:t}}).filter(function(e){return e.score>o}).sort(function(e,t){return t.score-e.score}),i=[],s=0;s<a.length;s++){var u=a[s],l=u.score,c=u.boxIndex;if(l<o)break;for(var p=!1,d=i.length-1;d>=0;--d){if(intersectionOverUnion(e,c,i[d])>=n){p=!0;break}}if(!p&&(i.push(c),i.length>=r))break}return tensor1d(i,\"int32\")}function intersectionOverUnion(e,t,r){var n=e.subarray(4*t,4*t+4),o=e.subarray(4*r,4*r+4),a=Math.min(n[0],n[2]),i=Math.min(n[1],n[3]),s=Math.max(n[0],n[2]),u=Math.max(n[1],n[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),d=Math.max(o[1],o[3]),h=(s-a)*(u-i),f=(p-l)*(d-c);if(h<=0||f<=0)return 0;var m=Math.max(a,l),g=Math.max(i,c),v=Math.min(s,p),y=Math.min(u,d),x=Math.max(v-m,0)*Math.max(y-g,0);return x/(h+f-x)}function split(e,t,r){var n=Array(e.rank).fill(0),o=e.shape.slice();return t.map(function(t){o[r]=t;var a=e.slice(n,o);return n[r]+=t,a})}function topkImpl(e,t,r,n,o){for(var a=t[t.length-1],i=[e.length/a,a],s=i[0],u=i[1],l=getTypedArrayFromDType(r,s*n),c=getTypedArrayFromDType(\"int32\",s*n),p=0;p<s;p++){for(var d=p*u,h=e.subarray(d,d+u),f=[],m=0;m<h.length;m++)f.push({value:h[m],index:m});f.sort(function(e,t){return t.value-e.value});var g=p*n,v=l.subarray(g,g+n),y=c.subarray(g,g+n);for(m=0;m<n;m++)v[m]=f[m].value,y[m]=f[m].index}var x=t.slice();return x[x.length-1]=n,[tensor(l,x,r),tensor(c,x,\"int32\")]}var ArgMinMaxProgram=function(){return function(e,t,r){this.variableNames=[\"A\"];var n=e.windowSize,o=e.batchSize,a=e.inSize,i=Math.ceil(a/n);r||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[o,i];var s=\"max\"===t?\">\":\"<\",u=r?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+n+\";\\n\\n        int bestIndex = inOffset;\\n        float bestValue = getA(batch, bestIndex);\\n\\n        for (int i = 0; i < \"+n+\"; i++) {\\n          int inIdx = \"+u+\";\\n          float candidate = getA(batch, inIdx);\\n          if (candidate \"+s+\" bestValue) {\\n            bestValue = candidate;\\n            bestIndex = inIdx;\\n          }\\n        }\\n        setOutput(float(bestIndex));\\n      }\\n    \"}}(),AvgPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;var t=e.filterHeight,r=e.filterWidth,n=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,p=1/(t*r);this.userCode=\"\\n      const ivec2 pads = ivec2(\"+l+\", \"+c+\");\\n      const float avgMultiplier = float(\"+p+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\";\\n            wR += \"+a+\") {\\n          float dyR = float(dyRCorner + wR) / \"+n+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+u+\";\\n            wC+= \"+i+\") {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n\\n            dotProd += dyValue * avgMultiplier;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}();function getBroadcastDims(e,t){for(var r=e.length,n=[],o=0;o<r;o++){var a=r-1-o,i=e[a]||1;(t[t.length-1-o]||1)>1&&1===i&&n.unshift(a)}return n}function getReductionAxes(e,t){for(var r=[],n=0;n<t.length;n++){var o=e[e.length-n-1],a=t.length-n-1,i=t[a];(null==o||1===o&&i>1)&&r.unshift(a)}return r}function broadcastDimsAreOuter(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}function assertAndGetBroadcastShape(e,t){for(var r=[],n=Math.max(e.length,t.length),o=0;o<n;o++){var a=e[e.length-o-1];null==a&&(a=1);var i=t[t.length-o-1];if(null==i&&(i=1),1===a)r.unshift(i);else if(1===i)r.unshift(a);else{if(a!==i)throw Error(\"Operands could not be broadcast together with shapes \"+e+\" and \"+t+\".\");r.unshift(a)}}return r}var BatchNormProgram=function(){return function(e,t,r,n,o,a){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,r);var i=\"0.0\";null!=n&&(assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");var s=\"1.0\";null!=o&&(assertAndGetBroadcastShape(e,o),this.variableNames.push(\"scale\"),s=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float x = getXAtOutCoords();\\n        float mean = getMeanAtOutCoords();\\n        float variance = getVarianceAtOutCoords();\\n        float offset = \"+i+\";\\n        float scale = \"+s+\";\\n        float inv = scale * inversesqrt(variance + float(\"+a+\"));\\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\\n      }\\n    \"}}(),BatchNormPackedProgram=function(){return function(e,t,r,n,o,a){this.supportsBroadcasting=!0,this.usesPackedTextures=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,r);var i=broadcastSample(\"mean\",t.length),s=broadcastSample(\"variance\",r.length),u=\"vec4 offset = vec4(0.0)\";null!=n&&(assertAndGetBroadcastShape(e,n),this.variableNames.push(\"offset\"),u=broadcastSample(\"offset\",n.length));var l=\"vec4 scale = vec4(1.0)\";null!=o&&(assertAndGetBroadcastShape(e,o),this.variableNames.push(\"scale\"),l=broadcastSample(\"scale\",o.length)),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec4 rc = getOutputCoords();\\n\\n        \"+u+\";\\n        \"+l+\";\\n\\n        vec4 x = getX(rc.x, rc.y, rc.z, rc.w);\\n        \"+i+\";\\n        \"+s+\";\\n\\n        vec4 inv = scale * inversesqrt(variance + vec4(\"+a+\"));\\n\\n        setOutput((x - mean) * inv + offset);\\n      }\\n    \"}}();function broadcastSample(e,t){var r=\"get\"+e.charAt(0).toUpperCase()+e.slice(1);return 1===t?\"\\n      vec4 \"+e+\"Sample = \"+r+\"(rc.w);\\n      vec4 \"+e+\" = vec4(\"+e+\"Sample.xy, \"+e+\"Sample.xy);\\n    \":\"vec4 \"+e+\" = \"+r+\"(rc.x, rc.y, rc.z, rc.w)\"}var COMPLEX_MULTIPLY={REAL:\"return areal * breal - aimag * bimag;\",IMAG:\"return areal * bimag + aimag * breal;\"},BinaryOpComplexProgram=function(){return function(e,t,r){this.variableNames=[\"AReal\",\"AImag\",\"BReal\",\"BImag\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,r),this.userCode=\"\\n      float binaryOpComplex(\\n          float areal, float aimag, float breal, float bimag) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float areal = getARealAtOutCoords();\\n        float aimag = getAImagAtOutCoords();\\n        float breal = getBRealAtOutCoords();\\n        float bimag = getBImagAtOutCoords();\\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET=\"\\n  if (isNaN(a)) return a;\\n  if (isNaN(b)) return b;\\n\",ADD=\"return a + b;\",SUB=\"return a - b;\",MUL=\"return a * b;\",DIV=\"if (a == b) return 1.0;\\n  return a / b;\",INT_DIV=\"\\n  float resultSign = sign(a) * sign(b);\\n  int ia = round(a);\\n  int ib = round(b);\\n  int result = ia / ib;\\n  int amodb = ia - ib * result;\\n\\n  if (resultSign < 0.0 && amodb != 0) {\\n    result -= 1;\\n  }\\n  return float(result);\\n\",POW=\"\\nif(a < 0.0 && floor(b) < b){\\n  return NAN;\\n}\\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\\n\",SQUARED_DIFFERENCE=\"return (a - b) * (a - b);\",EQUAL=\"return float(a == b);\",NOT_EQUAL=\"return float(a != b);\",LESS=\"return float(a < b);\",LESS_EQUAL=\"return float(a <= b);\",GREATER=\"return float(a > b);\",GREATER_EQUAL=\"return float(a >= b);\",LOGICAL_AND=\"return float(a >= 1.0 && b >= 1.0);\",LOGICAL_OR=\"return float(a >= 1.0 || b >= 1.0);\",MAX=CHECK_NAN_SNIPPET+\"\\n  return max(a, b);\\n\",MIN=CHECK_NAN_SNIPPET+\"\\n  return min(a, b);\\n\",MOD=\"if (b == 0.0) return NAN;\\n  return mod(a, b);\",ATAN2=CHECK_NAN_SNIPPET+\"\\n  return atan(a, b);\\n\",ELU_DER=\"return (b >= 1.0) ? a : a * (b + 1.0);\",BinaryOpProgram=function(){function e(e,t,r){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,r),this.userCode=\"\\n      uniform float NAN;\\n      float binaryOperation(float a, float b) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float a = getAAtOutCoords();\\n        float b = getBAtOutCoords();\\n        setOutput(binaryOperation(a, b));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,r){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(r,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),ClipProgram=function(){return function(e,t,r){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float value = getAAtOutCoords();\\n        if (isNaN(value)) {\\n          setOutput(value);\\n          return;\\n        }\\n\\n        setOutput(clamp(value, float(\"+t+\"), float(\"+r+\")));\\n      }\\n    \"}}(),ComplexAbsProgram=function(){return function(e){this.variableNames=[\"real\",\"imag\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float real = getRealAtOutCoords();\\n        float imag = getImagAtOutCoords();\\n        vec2 v = vec2(real, imag);\\n\\n        setOutput(sqrt(dot(v, v)));\\n      }\\n    \"}}(),ConcatProgram=function(){return function(e,t){this.variableNames=[\"A\",\"B\"],this.outputShape=[],this.outputShape=computeOutShape([e,t],1),this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int yR = coords.x;\\n        int yC = coords.y;\\n\\n        float value = 0.0;\\n        if (yC < \"+e[1]+\") {\\n          value = getA(yR, yC);\\n        } else {\\n          yC -= \"+e[1]+\";\\n          value = getB(yR, yC);\\n        }\\n\\n        setOutput(value);\\n      }\\n    \"}}(),Conv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,r=e.strideWidth,n=e.padInfo.top,o=e.padInfo.left;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int d2 = coords.w;\\n\\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+n+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+r+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,r=e.filterWidth,n=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=r-1-e.padInfo.left;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+n+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+r+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+r+\" - 1 - wC;\\n\\n            for (int d2 = 0; d2 < \"+e.outChannels+\"; d2++) {\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,r=e.strideWidth,n=e.padInfo.top,o=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int dm = coords.w;\\n        int d2 = d1 * \"+a+\" + dm;\\n\\n        float dotProd = 0.0;\\n\\n        // TODO: Vec4 over the batch size\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+n+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+r+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,r=e.filterWidth,n=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=r-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        float dotProd = 0.0;\\n\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+n+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+r+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+r+\" - 1 - wC;\\n\\n            // TODO: Vec4 over the channelMul\\n            for (int dm = 0; dm < \"+s+\"; dm++) {\\n              int d2 = d1 * \"+s+\" + dm;\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.padInfo.top,r=e.padInfo.left,n=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+n+\", \"+o+\");\\n      const ivec2 pads = ivec2(\"+t+\", \"+r+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d2 = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\"; wR++) {\\n          int xR = xRCorner + wR * \"+a+\";\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+u+\"; wC++) {\\n            int xC = xCCorner + wC * \"+i+\";\\n\\n            if (xC < 0 || xC >= \"+e.inWidth+\") {\\n              continue;\\n            }\\n\\n            for (int d1 = 0; d1 < \"+l+\"; d1 += 4) {\\n              vec4 xValues = vec4(\\n                getX(batch, xR, xC, d1),\\n                getX(batch, xR, xC, d1 + 1),\\n                getX(batch, xR, xC, d1 + 2),\\n                getX(batch, xR, xC, d1 + 3)\\n              );\\n              vec4 wValues = vec4(\\n                getW(wR, wC, d1, d2),\\n                getW(wR, wC, d1 + 1, d2),\\n                getW(wR, wC, d1 + 2, d2),\\n                getW(wR, wC, d1 + 3, d2)\\n              );\\n\\n              dotProd += dot(xValues, wValues);\\n            }\\n\\n            if (\"+(1===c)+\") {\\n              dotProd +=\\n                getX(batch, xR, xC, \"+l+\") *\\n                getW(wR, wC, \"+l+\", d2);\\n            } else if (\"+(2===c)+\") {\\n              vec2 xValues = vec2(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1)\\n              );\\n              vec2 wValues = vec2(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            } else if (\"+(3===c)+\") {\\n              vec3 xValues = vec3(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1),\\n                getX(batch, xR, xC, \"+l+\" + 2)\\n              );\\n              vec3 wValues = vec3(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2),\\n                getW(wR, wC, \"+l+\" + 2, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.inHeight,r=e.inWidth,n=e.padInfo.top,o=e.padInfo.left,a=e.strideHeight,i=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,p=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+n+\", \"+o+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords.x;\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int d2 = coords.w;\\n        int d1 = d2 / \"+p+\";\\n        int q = d2 - d1 * \"+p+\";\\n\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\\n        for (int wR = 0; wR < \"+l+\"; wR++) {\\n          int xR = xRCorner + wR * \"+s+\";\\n\\n          if (xR < 0 || xR >= \"+t+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+c+\"; wC++) {\\n            int xC = xCCorner + wC * \"+u+\";\\n\\n            if (xC < 0 || xC >= \"+r+\") {\\n              continue;\\n            }\\n\\n            float xVal = getX(batch, xR, xC, d1);\\n            float wVal = getW(wR, wC, d1, q);\\n            dotProd += xVal * wVal;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),CropAndResizeProgram=function(){return function(e,t,r,n,o){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];var a=e[0],i=e[1],s=e[2],u=e[3],l=t[0],c=r[0],p=r[1];this.outputShape=[l,c,p,u];var d=\"bilinear\"===n?1:0,h=[i-1+\".0\",s-1+\".0\"],f=h[0],m=h[1],g=c>1?[\"\"+(i-1)/(c-1),\"(y2-y1) * height_ratio\",\"y1*\"+f+\" + float(y)*(height_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (y1+y2) * \"+f],v=g[0],y=g[1],x=g[2],T=p>1?[\"\"+(s-1)/(p-1),\"(x2-x1) * width_ratio\",\"x1*\"+m+\" + float(x)*(width_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (x1+x2) * \"+m],E=T[0],w=T[1],S=T[2];this.userCode=\"\\n      const float height_ratio = float(\"+v+\");\\n      const float width_ratio = float(\"+E+\");\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int y = coords[1];\\n        int x = coords[2];\\n        int d = coords[3];\\n\\n        // get box vals\\n        float y1 = getBoxes(b,0);\\n        float x1 = getBoxes(b,1);\\n        float y2 = getBoxes(b,2);\\n        float x2 = getBoxes(b,3);\\n\\n        // get image in batch index\\n        int bInd = round(getBoxInd(b));\\n        if(bInd < 0 || bInd >= \"+a+\") {\\n          return;\\n        }\\n\\n        float height_scale = \"+y+\";\\n        float width_scale = \"+w+\";\\n\\n        float in_y = \"+x+\";\\n        if( in_y < 0.0 || in_y > \"+f+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n        float in_x = \"+S+\";\\n        if( in_x < 0.0 || in_x > \"+m+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n\\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\\n        if(\"+d+\" == 1) {\\n          // Compute the four integer indices.\\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\\n\\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n          float newValue = top + (bottom - top) * fracRC.x;\\n          setOutput(newValue);\\n        } else {\\n          // Compute the coordinators of nearest neighbor point.\\n          ivec2 sourceNearestRC = ivec2(floor(\\n            sourceFracIndexRC + vec2(0.5,0.5)));\\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n          setOutput(newValue);\\n        }\\n      }\\n    \"}}();function getLogicalCoordinatesFromFlatIndex(e,t,r){void 0===r&&(r=\"index\");var n=computeStrides(t);return n.map(function(t,o){return\"int \"+e[o]+\" = \"+r+\" / \"+t+\"; \"+(o===n.length-1?\"int \"+e[o+1]+\" = \"+r+\" - \"+e[o]+\" * \"+t:\"index -= \"+e[o]+\" * \"+t)+\";\"}).join(\"\")}function buildVec(e){return 1===e.length?\"\"+e[0]:\"vec\"+e.length+\"(\"+e.join(\",\")+\")\"}function dotify(e,t){if(e.length!==t.length)throw new Error(\"Vectors to be dotted must be of the same length -got \"+e.length+\" and \"+t.length);for(var r=[],n=Math.floor(e.length/4),o=e.length%4,a=0;a<n;a++){var i=e.slice(4*a,4*a+4),s=t.slice(4*a,4*a+4);r.push(buildVec(i)+\", \"+buildVec(s))}if(0!==o){i=e.slice(4*n),s=t.slice(4*n);1===i.length&&(i=i.map(function(e){return\"float(\"+e+\")\"}),s=s.map(function(e){return\"float(\"+e+\")\"})),r.push(buildVec(i)+\", \"+buildVec(s))}return r.map(function(e,t){return\"dot(\"+e+\")\"}).join(\"+\")}function makeShader(e,t,r,n,o){var a=e.map(function(e){var t=sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?\"uniform float \"+e.name+(t>1?\"[\"+t+\"]\":\"\")+\";\":\"uniform sampler2D \"+e.name+\";\"});a=a.join(\"\\n\");var i,s,u=e.map(function(e){return getInputSamplingSnippet(e,t,n)}).join(\"\\n\"),l=t.texShape,c=SHADER_PREFIX;return t.isPacked?(i=getPackedOutputSamplingSnippet(t.logicalShape,l),s=FLOAT_TEXTURE_SET_RGBA_SNIPPET):(i=getOutputSamplingSnippet(t.logicalShape,l),s=FLOAT_TEXTURE_SET_R_SNIPPET),o&&(c+=SHADER_PACKED_PREFIX),[c,FLOAT_TEXTURE_SAMPLE_SNIPPET,s,a,i,u,r].join(\"\\n\")}function getSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return getSamplerScalar(e);case 1:return getSampler1D(e);case 2:return getSampler2D(e);case 3:return getSampler3D(e);case 4:return getSampler4D(e);case 5:return getSampler5D(e);case 6:return getSampler6D(e);default:throw new Error(t.length+\"-D input sampling is not yet supported\")}}function getPackedSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 1:return getPackedSampler1D(e);case 2:return getPackedSampler2D(e);case 3:return getPackedSampler3D(e);case 4:return getPackedSampler4D(e);default:throw new Error(\"Packed \"+t.length+\"-D input sampling is not yet supported\")}}function getInputSamplingSnippet(e,t,r){var n=getSamplerFlat(e);return e.shapeInfo.isPacked?n+=getPackedSamplerFromInInfo(e):n+=getSamplerFromInInfo(e),(r||arraysEqual(e.shapeInfo.logicalShape,t.logicalShape))&&(n+=getSamplerAtOutputCoords(e,t,r)),n}function getPackedOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutputPacked1DCoords(e,t);case 2:return getOutputPacked2DCoords(e,t);case 3:return getOutputPacked3DCoords(e,t);case 4:return getOutputPacked4DCoords(e,t);default:throw new Error(e.length+\"-D packed output coordinate fetching is not yet supported\")}}function getOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutput1DCoords(e,t);case 2:return getOutput2DCoords(e,t);case 3:return getOutput3DCoords(e,t);case 4:return getOutput4DCoords(e,t);case 5:return getOutput5DCoords(e,t);case 6:return getOutput6DCoords(e,t);default:throw new Error(e.length+\"-D output sampling is not yet supported\")}}var SAMPLE_1D_SNIPPET=\"\\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\\n  int texelIndex = index / 2;\\n  int texR = texelIndex / texNumC;\\n  int texC = texelIndex - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_2D_SNIPPET=\"\\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\\n  int index = row * numC + col;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\\n  int texNumC, int row, int col) {\\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\\n  int texR = texelIndex / texNumC;\\n  int texC = texelIndex - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_3D_SNIPPET=\"\\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\\n    int stride1, int row, int col, int depth) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom3D(int texNumR, int texNumC,\\n    int texelsInBatch, int texelsInLogicalRow, int b,\\n    int row, int col) {\\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_4D_SNIPPET=\"\\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int row, int col, int depth,\\n    int depth2) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\nvec2 packedUVfrom4D(int texNumR, int texNumC, int texelsInBatch2,\\n    int texelsInBatch, int texelsInLogicalRow, int b2, int b,\\n    int row, int col) {\\n  int index = b2 * texelsInBatch2 + b * texelsInBatch +\\n    (row / 2) * texelsInLogicalRow + (col / 2);\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_5D_SNIPPET=\"\\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int row, int col, int depth,\\n    int depth2, int depth3) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 +\\n              depth * stride2 + depth2 * stride3 + depth3;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_6D_SNIPPET=\"\\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int stride4,\\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\\n    stride3 + depth3 * stride4 + depth4;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",FLOAT_TEXTURE_SAMPLE_SNIPPET=\"\\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n    return texture2D(textureSampler, uv).r;\\n  }\\n\",FLOAT_TEXTURE_SET_R_SNIPPET=\"\\n  void setOutput(float val) {\\n    gl_FragColor = vec4(val, 0, 0, 0);\\n  }\\n\",FLOAT_TEXTURE_SET_RGBA_SNIPPET=\"\\n  void setOutput(vec4 val) {\\n    gl_FragColor = val;\\n  }\\n\",SHADER_PREFIX=\"\\n  precision highp float;\\n  precision highp int;\\n  varying vec2 resultUV;\\n  const vec2 halfCR = vec2(0.5, 0.5);\\n\\n  struct ivec5\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n  };\\n\\n  struct ivec6\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n    int v;\\n  };\\n\\n  bool isNaN(float val) {\\n    return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;\\n  }\\n\\n  bool hasNaN(vec4 values) {\\n    vec4 v1 = values * values;\\n    vec4 v2 = values * values;\\n    return any(notEqual(v1, v2));\\n  }\\n\\n  float getNaN(vec4 values) {\\n    return dot(vec4(1), values);\\n  }\\n\\n  int round(float value) {\\n    return int(floor(value + 0.5));\\n  }\\n\\n  int imod(int x, int y) {\\n    return x - y * (x / y);\\n  }\\n\\n  //Based on the work of Dave Hoskins\\n  //https://www.shadertoy.com/view/4djSRW\\n  #define HASHSCALE1 443.8975\\n  float random(float seed){\\n    vec2 p = resultUV * seed;\\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\\n    p3 += dot(p3, p3.yzx + 19.19);\\n    return fract((p3.x + p3.y) * p3.z);\\n  }\\n\\n  \"+SAMPLE_1D_SNIPPET+\"\\n  \"+SAMPLE_2D_SNIPPET+\"\\n  \"+SAMPLE_3D_SNIPPET+\"\\n  \"+SAMPLE_4D_SNIPPET+\"\\n  \"+SAMPLE_5D_SNIPPET+\"\\n  \"+SAMPLE_6D_SNIPPET+\"\\n\",SHADER_PACKED_PREFIX=\"\\n  float getChannel(vec4 frag, vec2 innerDims) {\\n    vec2 modCoord = mod(innerDims, 2.);\\n    return modCoord.x == 0. ?\\n      (modCoord.y == 0. ? frag.r : frag.g) :\\n      (modCoord.y == 0. ? frag.b : frag.a);\\n  }\\n  float getChannel(vec4 frag, int dim) {\\n    float modCoord = mod(float(dim), 2.);\\n    return modCoord == 0. ? frag.r : frag.g;\\n  }\\n\";function getOutputScalarCoords(){return\"\\n    int getOutputCoords() {\\n      return 0;\\n    }\\n  \"}function getOutputPacked1DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return 2 * int(resultUV.x * \"+r[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return 2 * int(resultUV.y * \"+r[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n      return resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutput1DCoords(e,t){return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.x * \"+t[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.y * \"+t[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      return resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutputPacked3DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],n=Math.ceil(e[2]/2),o=n*Math.ceil(e[1]/2);return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n      int index = resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n\\n      int b = index / \"+o+\";\\n      index -= b * \"+o+\";\\n\\n      int r = 2 * (index / \"+n+\");\\n      int c = imod(index, \"+n+\") * 2;\\n\\n      return ivec3(b, r, c);\\n    }\\n  \"}function getOutput3DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\"],e);return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      \"+r+\"\\n      return ivec3(r, c, d);\\n    }\\n  \"}function getOutputPacked4DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],n=Math.ceil(e[3]/2),o=n*Math.ceil(e[2]/2),a=o*e[1];return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n      int index = resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n\\n      int b2 = index / \"+a+\";\\n      index -= b2 * \"+a+\";\\n\\n      int b = index / \"+o+\";\\n      index -= b * \"+o+\";\\n\\n      int r = 2 * (index / \"+n+\");\\n      int c = imod(index, \"+n+\") * 2;\\n\\n      return ivec4(b2, b, r, c);\\n    }\\n  \"}function getOutput4DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\",\"d2\"],e);return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      \"+r+\"\\n      return ivec4(r, c, d, d2);\\n    }\\n  \"}function getOutput5DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\",\"d2\",\"d3\"],e);return\"\\n    ivec5 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(\"+t[0]+\",\\n                             \"+t[1]+\"));\\n\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      \"+r+\"\\n\\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\\n      return outShape;\\n    }\\n  \"}function getOutput6DCoords(e,t){var r=getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\",\"d2\",\"d3\",\"d4\"],e);return\"\\n    ivec6 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      \"+r+\"\\n\\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\\n      return result;\\n    }\\n  \"}function getOutputPacked2DCoords(e,t){var r=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(arraysEqual(e,t))return\"\\n      ivec2 getOutputCoords() {\\n        return 2 * ivec2(resultUV.yx * vec2(\"+r[0]+\", \"+r[1]+\"));\\n      }\\n    \";var n=Math.ceil(e[1]/2);return\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+r[0]+\", \"+r[1]+\"));\\n\\n      int index = resTexRC.x * \"+r[1]+\" + resTexRC.y;\\n      int r = 2 * (index / \"+n+\");\\n      int c = imod(index, \"+n+\") * 2;\\n\\n      return ivec2(r, c);\\n    }\\n  \"}function getOutput2DCoords(e,t){return arraysEqual(e,t)?\"\\n      ivec2 getOutputCoords() {\\n        return ivec2(resultUV.yx * vec2(\"+t[0]+\", \"+t[1]+\"));\\n      }\\n    \":1===e[1]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(index, 0);\\n      }\\n    \":1===e[0]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(0, index);\\n      }\\n    \":\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+e[1]+\";\\n      int c = index - r * \"+e[1]+\";\\n      return ivec2(r, c);\\n    }\\n  \"}function getSamplerScalar(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?\"float \"+r+\"() {return \"+t+\";}\":\"\\n    float \"+r+\"() {\\n      return sampleTexture(\"+t+\", halfCR);\\n    }\\n  \"}function getPackedSampler1D(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1),n=e.shapeInfo.texShape,o=[Math.ceil(n[0]/2),Math.ceil(n[1]/2)];return\"\\n    vec4 \"+r+\"(int index) {\\n      vec2 uv = packedUVfrom1D(\\n        \"+o[0]+\", \"+o[1]+\", index);\\n      return texture2D(\"+t+\", uv);\\n    }\\n  \"}function getSampler1D(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return\"\\n    float \"+r+\"(int index) {\\n      return \"+r+\"Flat(index);\\n    }\\n  \"}function getPackedSampler2D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape,a=o[0],i=o[1];if(null!=o&&arraysEqual(t,o))return\"\\n      vec4 \"+n+\"(int row, int col) {\\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+i+\".0, \"+a+\".0);\\n\\n        return texture2D(\"+r+\", uv);\\n      }\\n    \";var s=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];return\"\\n    vec4 \"+n+\"(int row, int col) {\\n      vec2 uv = packedUVfrom2D(\"+Math.ceil(t[1]/2)+\", \"+s[0]+\", \"+s[1]+\", row, col);\\n      return texture2D(\"+r+\", uv);\\n    }\\n  \"}function getSampler2D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape;if(null!=o&&arraysEqual(t,o)){var a=o[0];return\"\\n    float \"+n+\"(int row, int col) {\\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+o[1]+\".0, \"+a+\".0);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}var i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+n+\"(int row, int col) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\"],u)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col) {\\n        float index = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n        return \"+n+\"Flat(round(index));\\n      }\\n    \";var c=o[0],p=o[1];return 1===p?\"\\n    float \"+n+\"(int row, int col) {\\n      float index = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n      vec2 uv = vec2(0.5, (index + 0.5) / \"+c+\".0);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \":1===c?\"\\n    float \"+n+\"(int row, int col) {\\n      float index = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n      vec2 uv = vec2((index + 0.5) / \"+p+\".0, 0.5);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \":\"\\n  float \"+n+\"(int row, int col) {\\n    vec2 uv = UVfrom2D(\"+c+\", \"+p+\", \"+t[1]+\", row, col);\\n    return sampleTexture(\"+r+\", uv);\\n  }\\n\"}function getPackedSampler3D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===t[0]){return\"\\n        \"+getPackedSamplerFromInInfo(squeezeInputInfo(e,t.slice(1)))+\"\\n        vec4 \"+n+\"(int b, int row, int col) {\\n          return \"+n+\"(\"+getSqueezedParams([\"b\",\"row\",\"col\"],[1,2])+\");\\n        }\\n      \"}var i=a[0],s=a[1],u=Math.ceil(t[2]/2);return\"\\n    vec4 \"+n+\"(int b, int row, int col) {\\n      vec2 uv = packedUVfrom3D(\\n        \"+i+\", \"+s+\", \"+u*Math.ceil(t[1]/2)+\", \"+u+\", b, row, col);\\n      return texture2D(\"+r+\", uv);\\n    }\\n  \"}function getSampler3D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[1]*t[2],a=t[2],i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n        \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n        float \"+n+\"(int row, int col, int depth) {\\n          return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\"],u)+\");\\n        }\\n      \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth) {\\n        float index = dot(vec3(row, col, depth),\\n                          vec3(\"+o+\", \"+a+\", 1));\\n        return \"+n+\"Flat(round(index));\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===o?\"\\n        float \"+n+\"(int row, int col, int depth) {\\n          float texR = float(row);\\n          float texC = dot(vec2(col, depth), vec2(\"+a+\", 1));\\n          vec2 uv = (vec2(texC, texR) + halfCR) /\\n                     vec2(\"+d+\".0, \"+p+\".0);\\n          return sampleTexture(\"+r+\", uv);\\n        }\\n      \":d===a?\"\\n    float \"+n+\"(int row, int col, int depth) {\\n      float texR = dot(vec2(row, col), vec2(\"+t[1]+\", 1));\\n      float texC = float(depth);\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+d+\".0, \"+p+\".0);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \":\"\\n      float \"+n+\"(int row, int col, int depth) {\\n        vec2 uv = UVfrom3D(\\n            \"+p+\", \"+d+\", \"+o+\", \"+a+\", row, col, depth);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n  \"}function getPackedSampler4D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=e.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],i=a[0],s=a[1],u=Math.ceil(t[3]/2),l=u*Math.ceil(t[2]/2);return\"\\n    vec4 \"+n+\"(int b2, int b, int row, int col) {\\n      vec2 uv = packedUVfrom4D(\\n        \"+i+\", \"+s+\", \"+l*t[1]+\",\\n        \"+l+\", \"+u+\", b2, b, row, col);\\n      return texture2D(\"+r+\", uv);\\n    }\\n  \"}function getSampler4D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[3],a=t[2]*o,i=t[1]*a,s=squeezeShape(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,u))+\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\"],l)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        float index = dot(vec4(row, col, depth, depth2),\\n                          vec4(\"+i+\", \"+a+\", \"+o+\", 1));\\n        return \"+n+\"Flat(round(index));\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===i?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        float texR = float(row);\\n        float texC =\\n            dot(vec3(col, depth, depth2), vec3(\"+a+\", \"+o+\", 1));\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":d===o?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2) {\\n        float texR = dot(vec3(row, col, depth),\\n                         vec3(\"+t[1]*t[2]+\", \"+t[2]+\", 1));\\n        float texC = float(depth2);\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int row, int col, int depth, int depth2) {\\n      vec2 uv = UVfrom4D(\"+p+\", \"+d+\", \"+i+\", \"+a+\",\\n          \"+o+\", row, col, depth, depth2);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getSampler5D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[4],a=t[3]*o,i=t[2]*a,s=t[1]*i,u=squeezeShape(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\"],c)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        float index = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+s+\", \"+i+\", \"+a+\", \"+o+\")) +\\n          depth3;\\n        return \"+n+\"Flat(index);\\n      }\\n    \";var p=e.shapeInfo.texShape,d=p[0],h=p[1];return h===s?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row;\\n        float texC = dot(\\n          vec4(col, depth, depth2, depth3),\\n          vec4(\"+i+\", \"+a+\", \"+o+\", 1));\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":h===o?\"\\n      float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n        float texR = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+t[1]*t[2]*t[3]+\", \"+t[2]*t[3]+\",\\n            \"+t[3]+\", 1));\\n        int texC = depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int row, int col, int depth, int depth2, int depth3) {\\n      vec2 uv = UVfrom5D(\"+d+\", \"+h+\", \"+s+\", \"+i+\",\\n          \"+a+\", \"+o+\", row, col, depth, depth2, depth3);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getSampler6D(e){var t=e.shapeInfo.logicalShape,r=e.name,n=\"get\"+r.charAt(0).toUpperCase()+r.slice(1),o=t[5],a=t[4]*o,i=t[3]*a,s=t[2]*i,u=t[1]*s,l=squeezeShape(t),c=l.newShape,p=l.keptDims;if(c.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,c))+\"\\n      float \"+n+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        return \"+n+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\",\"depth4\"],p)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+n+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n        float index = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+u+\", \"+s+\", \"+i+\", \"+a+\")) +\\n          dot(\\n            vec2(depth3, depth4),\\n            vec2(\"+o+\", 1));\\n        return \"+n+\"Flat(index);\\n      }\\n    \";var d=e.shapeInfo.texShape,h=d[0],f=d[1];return f===u?\"\\n      float \"+n+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row;\\n        float texC = dot(\\n          vec4(col, depth, depth2, depth3),\\n          vec4(\"+s+\", \"+i+\", \"+a+\", \"+o+\")) + depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":f===o?\"\\n      float \"+n+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        float texR = dot(\\n          vec4(row, col, depth, depth2),\\n          vec4(\"+t[1]*t[2]*t[3]*t[4]+\",\\n               \"+t[2]*t[3]*t[4]+\",\\n               \"+t[3]*t[4]+\",\\n               \"+t[4]+\")) + depth3;\\n        int texC = depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+r+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n      vec2 uv = UVfrom6D(\"+h+\", \"+f+\", \"+u+\", \"+s+\",\\n          \"+i+\", \"+a+\", \"+o+\"\\n          ,row, col, depth, depth2, depth3, depth4);\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getSamplerFlat(e){var t=e.name,r=\"get\"+t.charAt(0).toUpperCase()+t.slice(1)+\"Flat\",n=sizeFromShape(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===n?\"float \"+r+\"(int index) {return \"+t+\";}\":\"\\n      float \"+r+\"(int index) {\\n        for (int i = 0; i < \"+n+\"; i++) {\\n          if (i == index) {\\n            return \"+t+\"[i];\\n          }\\n        }\\n      }\\n    \";var o=e.shapeInfo.texShape,a=o[0],i=o[1];return 1===i&&1===a?\"\\n      float \"+r+\"(int index) {\\n        return sampleTexture(\"+t+\", halfCR);\\n      }\\n    \":1===i?\"\\n      float \"+r+\"(int index) {\\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+a+\".0);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":1===a?\"\\n      float \"+r+\"(int index) {\\n        vec2 uv = vec2((float(index) + 0.5) / \"+i+\".0, 0.5);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int index) {\\n      vec2 uv = UVfrom1D(\"+a+\", \"+i+\", index);\\n      return sampleTexture(\"+t+\", uv);\\n    }\\n  \"}function getBroadcastOutputCoordsSampler(e,t,r,n){var o=e.shapeInfo.logicalShape.length,a=t.logicalShape.length,i=\"int\";2===a?i=\"ivec2\":3===a?i=\"ivec3\":4===a&&(i=\"ivec4\");var s=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),u=a-o;return\"\\n    float \"+n+\"() {\\n      \"+i+\" coords = getOutputCoords();\\n      \"+(0===o?\"\":a<2&&s.length>=1?\"coords = 0;\":s.map(function(e){return\"coords[\"+(e+u)+\"] = 0;\"}).join(\"\\n\"))+\"\\n      return get\"+r+\"(\"+(a<2&&o>0?\"coords\":e.shapeInfo.logicalShape.map(function(e,t){return\"coords[\"+(t+u)+\"]\"}).join(\", \"))+\");\\n    }\\n  \"}function getSamplerAtOutputCoords(e,t,r){var n=e.name,o=n.charAt(0).toUpperCase()+n.slice(1),a=\"get\"+o+\"AtOutCoords\",i=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=r&&(u>s||i.length>0),c=broadcastDimsAreOuter(i),p=e.shapeInfo.isUniform;if(l&&!c)return getBroadcastOutputCoordsSampler(e,t,o,a);var d=sizeFromShape(e.shapeInfo.logicalShape),h=\"\";l&&c&&(h=\"\\n        int mainPart = index / \"+d+\";\\n        index -= mainPart * \"+d+\";\\n      \");var f=t.texShape;if(p)return 1===d?\"float \"+a+\"() {return \"+n+\";}\":\"\\n      float \"+a+\"() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                              vec2(\"+f[0]+\", \"+f[1]+\"));\\n        int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n        \"+h+\"\\n        return get\"+o+\"Flat(index);\\n      }\\n    \";var m=e.shapeInfo.texShape;return arraysEqual(m,f)?\"\\n      float \"+a+\"() {\\n        return sampleTexture(\"+n+\", resultUV);\\n      }\\n    \":\"\\n    float \"+a+\"() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+f[0]+\", \"+f[1]+\"));\\n      int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n      \"+h+\"\\n      int texR = index / \"+m[1]+\";\\n      int texC = index - texR * \"+m[1]+\";\\n      vec2 uv = (vec2(texC, texR) + halfCR) /\\n                 vec2(\"+m[1]+\".0, \"+m[0]+\".0);\\n\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getCoordsDataType(e){if(e<=1)return\"int\";if(2===e)return\"ivec2\";if(3===e)return\"ivec3\";if(4===e)return\"ivec4\";if(5===e)return\"ivec5\";if(6===e)return\"ivec6\";throw Error(\"GPU for rank \"+e+\" is not yet supported\")}function squeezeInputInfo(e,t){var r=JSON.parse(JSON.stringify(e));return r.shapeInfo.logicalShape=t,r}function getSqueezedParams(e,t){return t.map(function(t){return e[t]}).join(\", \")}var CumSumProgram=function(){return function(e,t,r){this.variableNames=[\"x\"],this.outputShape=e;var n=e.length,o=e[e.length-1],a=r?\"<\":\">\";this.userCode=\"\\n      int getIndex(int i) {\\n        \"+(r?\"return \"+o+\" -i - 1;\":\"return i;\")+\"\\n      }\\n\\n      void main() {\\n        \"+getCoordsDataType(n)+\" coords = getOutputCoords();\\n        int end = \"+getFinalCoord(n,\"coords\")+\";\\n        float val = 0.0;\\n        for (int i = \"+o+\" - 1; i >= 0; i -= 1) {\\n          int idx = getIndex(i);\\n          if (idx \"+a+\" end) {\\n            continue;\\n          }\\n          if (idx == end && \"+t+\") {\\n            continue;\\n          }\\n          \"+getFinalCoord(n,\"coords\")+\" = idx;\\n          val += getX(\"+getCoords(n,\"coords\")+\");\\n        }\\n        setOutput(val);\\n      }\\n    \"}}();function getCoords(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".x, \"+t+\".y\";if(3===e)return t+\".x, \"+t+\".y, \"+t+\".z\";if(4===e)return t+\".x, \"+t+\".y, \"+t+\".z, \"+t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}function getFinalCoord(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".y\";if(3===e)return t+\".z\";if(4===e)return t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}var DepthToSpaceProgram=function(){function e(e,t,r){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=r,this.userCode=\"\\n    void main() {\\n      ivec4 coords = getOutputCoords();\\n      int b = coords[0];\\n      int h = \"+this.getHeightCoordString()+\";\\n      int w = \"+this.getWidthCoordString()+\";\\n      int d = \"+this.getDepthCoordString()+\";\\n\\n      int in_h = h / \"+t+\";\\n      int offset_h = imod(h, \"+t+\");\\n      int in_w = w / \"+t+\";\\n      int offset_w = imod(w, \"+t+\");\\n      int offset_d = (offset_h * \"+t+\" + offset_w) *\\n        \"+this.getOutputDepthSize()+\";\\n      int in_d = d + offset_d;\\n\\n      float result = \"+this.getInputSamplingString()+\";\\n      setOutput(result);\\n    }\\n  \"}return e.prototype.getHeightCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[1]\":\"coords[2]\"},e.prototype.getWidthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[2]\":\"coords[3]\"},e.prototype.getDepthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[3]\":\"coords[1]\"},e.prototype.getOutputDepthSize=function(){return\"NHWC\"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return\"NHWC\"===this.dataFormat?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"},e}(),EncodeFloatProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const float FLOAT_MAX = 1.70141184e38;\\n      const float FLOAT_MIN = 1.17549435e-38;\\n\\n      lowp vec4 encode_float(highp float v) {\\n        if (isNaN(v)) {\\n          return vec4(255, 255, 255, 255);\\n        }\\n\\n        highp float av = abs(v);\\n\\n        if(av < FLOAT_MIN) {\\n          return vec4(0.0, 0.0, 0.0, 0.0);\\n        } else if(v > FLOAT_MAX) {\\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\\n        } else if(v < -FLOAT_MAX) {\\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\\n        }\\n\\n        highp vec4 c = vec4(0,0,0,0);\\n\\n        highp float e = floor(log2(av));\\n        highp float m = exp2(fract(log2(av))) - 1.0;\\n\\n        c[2] = floor(128.0 * m);\\n        m -= c[2] / 128.0;\\n        c[1] = floor(32768.0 * m);\\n        m -= c[1] / 32768.0;\\n        c[0] = floor(8388608.0 * m);\\n\\n        highp float ebias = e + 127.0;\\n        c[3] = floor(ebias / 2.0);\\n        ebias -= c[3] * 2.0;\\n        c[2] += floor(ebias) * 128.0;\\n\\n        c[3] += 128.0 * step(0.0, -v);\\n\\n        return c / 255.0;\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        gl_FragColor = encode_float(x);\\n      }\\n    \"}}(),COMPLEX_FFT={REAL:\"return real * expR - imag * expI;\",IMAG:\"return real * expI + imag * expR;\"},FFTProgram=function(){return function(e,t,r){this.variableNames=[\"real\",\"imag\"];var n=t[1];this.outputShape=t;var o=r?\"2.0 * \"+Math.PI:\"-2.0 * \"+Math.PI,a=r?n+\".0\":\"1.0\";this.userCode=\"\\n      const float exponentMultiplier = \"+o+\";\\n\\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\\n        \"+e+\"\\n      }\\n\\n      float mulMatDFT(int batch, int index) {\\n        float indexRatio = float(index) / float(\"+n+\");\\n        float exponentMultiplierTimesIndexRatio =\\n            exponentMultiplier * indexRatio;\\n\\n        float result = 0.0;\\n\\n        for (int i = 0; i < \"+n+\"; i++) {\\n          // x = (-2|2 * PI / N) * index * i;\\n          float x = exponentMultiplierTimesIndexRatio * float(i);\\n          float expR = cos(x);\\n          float expI = sin(x);\\n          float real = getReal(batch, i);\\n          float imag = getImag(batch, i);\\n\\n          result +=\\n              unaryOpComplex(real, expR, imag, expI) / \"+a+\";\\n        }\\n\\n        return result;\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        setOutput(mulMatDFT(coords[0], coords[1]));\\n      }\\n    \"}}(),FromPixelsProgram=function(){return function(e){this.variableNames=[\"A\"];var t=e[0],r=e[1];this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec3 coords = getOutputCoords();\\n        int texR = coords[0];\\n        int texC = coords[1];\\n        int depth = coords[2];\\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+r+\".0, \"+t+\".0);\\n\\n        vec4 values = texture2D(A, uv);\\n        float value;\\n        if (depth == 0) {\\n          value = values.r;\\n        } else if (depth == 1) {\\n          value = values.g;\\n        } else if (depth == 2) {\\n          value = values.b;\\n        } else if (depth == 3) {\\n          value = values.a;\\n        }\\n\\n        setOutput(floor(value * 255.0 + 0.5));\\n      }\\n    \"}}(),GatherProgram=function(){return function(e,t,r){this.variableNames=[\"A\",\"indices\"];var n=e.slice();n[r]=t,this.outputShape=n,this.rank=n.length;var o=getCoordsDataType(this.rank),a=getSourceCoords(e,r);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords(e,t){var r=e.length;if(r>4)throw Error(\"Gather for rank \"+r+\" is not yet supported\");if(1===r)return\"int(getIndices(resRC))\";for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[],a=0;a<e.length;a++)a===t?o.push(\"int(getIndices(\"+n[a]+\"))\"):o.push(\"\"+n[a]);return o.join()}var TextureUsage,PhysicalTextureType,GatherNDProgram=function(){return function(e,t,r){this.sliceDim=e,this.strides=t,this.variableNames=[\"x\",\"indices\"],this.outputShape=r;var n=getCoordsDataType(t.length),o=getCoordsDataType(r.length),a=this.sliceDim>1?\"strides[j]\":\"strides\";this.userCode=\"\\n        \"+n+\" strides = \"+n+\"(\"+this.strides+\");\\n         void main() {\\n          \"+o+\" coords = getOutputCoords();\\n          int flattenIndex = 0;\\n          for (int j = 0; j < \"+this.sliceDim+\"; j++) {\\n            int index = round(getIndices(coords[0], j));\\n            flattenIndex += index * \"+a+\";\\n          }\\n          setOutput(getX(flattenIndex, coords[1]));\\n        }\\n      \"}}();function getUnpackedMatrixTextureShapeWidthHeight(e,t){return[t,e]}function getUnpackedArraySizeFromMatrixSize(e,t){return e*t}function getMatrixSizeFromUnpackedArraySize(e,t){if(e%t!=0)throw new Error(\"unpackedSize (\"+e+\") must be a multiple of \"+t);return e/t}function encodeMatrixToUnpackedArray(e,t,r){var n=getUnpackedArraySizeFromMatrixSize(e.length,r);if(t.length<n)throw new Error(\"unpackedArray length (\"+t.length+\") must be >= \"+n);for(var o=0,a=0;a<e.length;++a)t[o]=e[a],o+=r}function decodeMatrixFromUnpackedArray(e,t,r){var n=getMatrixSizeFromUnpackedArraySize(e.length,r);if(t.length<n)throw new Error(\"matrix length (\"+t.length+\") must be >= \"+n);for(var o=0,a=0;a<e.length;a+=r)t[o++]=e[a]}function getPackedMatrixTextureShapeWidthHeight(e,t){return[Math.ceil(t/2),Math.ceil(e/2)]}function getPackedRGBAArraySizeFromMatrixShape(e,t){var r=getPackedMatrixTextureShapeWidthHeight(e,t);return r[0]*r[1]*4}function encodeMatrixToPackedRGBA(e,t,r,n,o){var a=getPackedRGBAArraySizeFromMatrixShape(r,n);if(o.length<a)throw new Error(\"packedRGBA length (\"+o.length+\") must be >=\\n        \"+a);for(var i=n%2==1,s=r%2==1,u=Math.floor(n/2),l=Math.floor(r/2),c=Math.ceil(n/2),p=c*Math.ceil(r/2),d=nearestLargerEven(r)*nearestLargerEven(n),h=0;h<t;h++){for(var f=h*r*n,m=h*d,g=i?4:0,v=n,y=m,x=0;x<l;++x){for(var T=2*x*n,E=0;E<u;++E){var w=f+T+2*E;o[y]=e[w],o[y+1]=e[w+1],o[y+2]=e[w+v],o[y+3]=e[w+v+1],y+=4}y+=g}if(i){w=f+n-1,y=m+4*(c-1);var S=2*n;for(g=4*c,x=0;x<l;++x)o[y]=e[w],o[y+2]=e[w+n],w+=S,y+=g}if(s){for(w=f+(r-1)*n,y=m+4*(p-c),E=0;E<u;++E)o[y++]=e[w++],o[y++]=e[w++],y+=2;i&&s&&(o[m+d-4]=e[w])}}return o}function decodeMatrixFromPackedRGBA(e,t,r,n,o){var a=r*n;if(o.length<a)throw new Error(\"matrix length (\"+o.length+\") must be >= \"+a);for(var i=n%2==1,s=r%2==1,u=Math.floor(n/2),l=Math.floor(r/2),c=Math.ceil(n/2),p=c*Math.ceil(r/2),d=nearestLargerEven(r)*nearestLargerEven(n),h=0;h<t;h++){for(var f=h*r*n,m=h*d,g=i?4:0,v=n+(i?1:0),y=m,x=f,T=f+n,E=0;E<l;++E){for(var w=0;w<u;++w)o[x++]=e[y++],o[x++]=e[y++],o[T++]=e[y++],o[T++]=e[y++];y+=g,x+=v,T+=v}if(i){y=m+4*(c-1);var S=f+n-1;for(g=4*c,v=2*n,E=0;E<l;++E)o[S]=e[y],o[S+n]=e[y+2],y+=g,S+=v}if(s){for(y=m+4*(p-c),S=f+(r-1)*n,w=0;w<u;++w)o[S++]=e[y++],o[S++]=e[y++],y+=2;i&&(o[f+r*n-1]=e[y])}}return o}function callAndCheck(e,t){var r=t();return checkWebGLError(e),r}!function(e){e[e.RENDER=0]=\"RENDER\",e[e.UPLOAD=1]=\"UPLOAD\",e[e.PIXELS=2]=\"PIXELS\",e[e.DOWNLOAD=3]=\"DOWNLOAD\"}(TextureUsage||(TextureUsage={})),function(e){e[e.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",e[e.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",e[e.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",e[e.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\",e[e.PACKED_2X2_FLOAT16=4]=\"PACKED_2X2_FLOAT16\"}(PhysicalTextureType||(PhysicalTextureType={}));var webGLDebugErrorCheckingEnabled=!1;function enableDebugWebGLErrorChecking(e){webGLDebugErrorCheckingEnabled=e}function checkWebGLError(e){if(webGLDebugErrorCheckingEnabled){var t=e.getError();if(t!==e.NO_ERROR)throw new Error(\"WebGL Error: \"+getWebGLErrorMessage(e,t))}}function getWebGLErrorMessage(e,t){switch(t){case e.NO_ERROR:return\"NO_ERROR\";case e.INVALID_ENUM:return\"INVALID_ENUM\";case e.INVALID_VALUE:return\"INVALID_VALUE\";case e.INVALID_OPERATION:return\"INVALID_OPERATION\";case e.INVALID_FRAMEBUFFER_OPERATION:return\"INVALID_FRAMEBUFFER_OPERATION\";case e.OUT_OF_MEMORY:return\"OUT_OF_MEMORY\";case e.CONTEXT_LOST_WEBGL:return\"CONTEXT_LOST_WEBGL\";default:return\"Unknown error code \"+t}}function getExtensionOrThrow(e,t){return throwIfNull(e,function(){return e.getExtension(t)},'Extension \"'+t+'\" not supported on this browser.')}function createVertexShader(e,t){var r=throwIfNull(e,function(){return e.createShader(e.VERTEX_SHADER)},\"Unable to create vertex WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(r,t)}),callAndCheck(e,function(){return e.compileShader(r)}),!1===e.getShaderParameter(r,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(r)),new Error(\"Failed to compile vertex shader.\");return r}function createFragmentShader(e,t){var r=throwIfNull(e,function(){return e.createShader(e.FRAGMENT_SHADER)},\"Unable to create fragment WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(r,t)}),callAndCheck(e,function(){return e.compileShader(r)}),!1===e.getShaderParameter(r,e.COMPILE_STATUS))throw logShaderSourceAndInfoLog(t,e.getShaderInfoLog(r)),new Error(\"Failed to compile fragment shader.\");return r}var lineNumberRegex=/ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e,t){var r=lineNumberRegex.exec(t);if(null==r)return console.log(\"Couldn't parse line number in error: \"+t),void console.log(e);for(var n=+r[1],o=e.split(\"\\n\"),a=o.length.toString().length+2,i=o.map(function(e,t){return rightPad((t+1).toString(),a)+e}),s=0,u=0;u<i.length;u++)s=Math.max(i[u].length,s);var l=i.slice(0,n-1),c=i.slice(n-1,n),p=i.slice(n);console.log(l.join(\"\\n\")),console.log(t.split(\"\\n\")[0]),console.log(\"%c \"+rightPad(c[0],s),\"border:1px solid red; background-color:#e3d2d2; color:#a61717\"),console.log(p.join(\"\\n\"))}function createProgram(e){return throwIfNull(e,function(){return e.createProgram()},\"Unable to create WebGLProgram.\")}function linkProgram(e,t){if(callAndCheck(e,function(){return e.linkProgram(t)}),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function validateProgram(e,t){if(callAndCheck(e,function(){return e.validateProgram(t)}),!1===e.getProgramParameter(t,e.VALIDATE_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function createStaticVertexBuffer(e,t){var r=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)}),r}function createStaticIndexBuffer(e,t){var r=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)}),r}function getNumChannels(){return 2===ENV.get(\"WEBGL_VERSION\")?1:4}function createTexture(e){return throwIfNull(e,function(){return e.createTexture()},\"Unable to create WebGLTexture.\")}function validateTextureSize(e,t){var r=ENV.get(\"WEBGL_MAX_TEXTURE_SIZE\");if(e<=0||t<=0){var n=\"[\"+e+\"x\"+t+\"]\";throw new Error(\"Requested texture size \"+n+\" is invalid.\")}if(e>r||t>r){n=\"[\"+e+\"x\"+t+\"]\";throw new Error(\"Requested texture size \"+n+\" greater than WebGL maximum on this browser / GPU \"+(\"[\"+r+\"x\"+r+\"]\")+\".\")}}function createFramebuffer(e){return throwIfNull(e,function(){return e.createFramebuffer()},\"Unable to create WebGLFramebuffer.\")}function bindVertexBufferToProgramAttribute(e,t,r,n,o,a,i){var s=e.getAttribLocation(t,r);return-1!==s&&(callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.vertexAttribPointer(s,o,e.FLOAT,!1,a,i)}),callAndCheck(e,function(){return e.enableVertexAttribArray(s)}),!0)}function bindTextureUnit(e,t,r){validateTextureUnit(e,r),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+r)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)})}function unbindTextureUnit(e,t){validateTextureUnit(e,t),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+t)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function getProgramUniformLocationOrThrow(e,t,r){return throwIfNull(e,function(){return e.getUniformLocation(t,r)},'uniform \"'+r+'\" not present in program.')}function getProgramUniformLocation(e,t,r){return e.getUniformLocation(t,r)}function bindTextureToProgramUniformSampler(e,t,r,n,o){callAndCheck(e,function(){return bindTextureUnit(e,r,o)}),callAndCheck(e,function(){return e.uniform1i(n,o)})}function bindCanvasToFramebuffer(e){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),callAndCheck(e,function(){return e.viewport(0,0,e.canvas.width,e.canvas.height)}),callAndCheck(e,function(){return e.scissor(0,0,e.canvas.width,e.canvas.height)})}function bindColorTextureToFramebuffer(e,t,r){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,r)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0)})}function unbindColorTextureFromFramebuffer(e,t){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,t)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0)})}function validateFramebuffer(e){var t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+getFramebufferErrorMessage(e,t))}function getFramebufferErrorMessage(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case e.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return\"unknown error \"+t}}function throwIfNull(e,t,r){var n=callAndCheck(e,function(){return t()});if(null==n)throw new Error(r);return n}function validateTextureUnit(e,t){var r=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+e.TEXTURE0;if(n<e.TEXTURE0||n>r)throw new Error(\"textureUnit must be in \"+(\"[gl.TEXTURE0, gl.TEXTURE\"+r+\"]\")+\".\")}function getTextureShapeFromLogicalShape(e,t){void 0===t&&(t=!1);var r=ENV.get(\"WEBGL_MAX_TEXTURE_SIZE\");if(t&&(r*=2,e=e.map(function(t,r){return r>=e.length-2?nearestLargerEven(e[r]):e[r]})),2!==e.length){var n=squeezeShape(e);e=n.newShape}var o=sizeFromShape(e);return e.length<=1&&o<=r?[o,1]:2===e.length&&e[0]<=r&&e[1]<=r?e:3===e.length&&e[0]*e[1]<=r&&e[2]<=r?[e[0]*e[1],e[2]]:3===e.length&&e[0]<=r&&e[1]*e[2]<=r?[e[0],e[1]*e[2]]:4===e.length&&e[0]*e[1]*e[2]<=r&&e[3]<=r?[e[0]*e[1]*e[2],e[3]]:4===e.length&&e[0]<=r&&e[1]*e[2]*e[3]<=r?[e[0],e[1]*e[2]*e[3]]:sizeToSquarishShape(o)}function isEven(e){return e%2==0}function isReshapeFree(e,t){if(arraysEqual(e=e.slice(-2),t=t.slice(-2)))return!0;if(!e.length||!t.length)return!0;if(0===e[0]||0===e[1]||0===t[0]||0===t[1])return!0;if(e.length!==t.length){if(arraysEqual(squeezeShape(e).newShape,squeezeShape(t).newShape))return!0}else if(isEven(e[0])&&isEven(t[0])){if(isEven(e[1])&&isEven(t[1]))return!0;if(e[1]===t[1])return!0}return!1}var webgl_util=Object.freeze({callAndCheck:callAndCheck,enableDebugWebGLErrorChecking:enableDebugWebGLErrorChecking,checkWebGLError:checkWebGLError,getWebGLErrorMessage:getWebGLErrorMessage,getExtensionOrThrow:getExtensionOrThrow,createVertexShader:createVertexShader,createFragmentShader:createFragmentShader,createProgram:createProgram,linkProgram:linkProgram,validateProgram:validateProgram,createStaticVertexBuffer:createStaticVertexBuffer,createStaticIndexBuffer:createStaticIndexBuffer,getNumChannels:getNumChannels,createTexture:createTexture,validateTextureSize:validateTextureSize,createFramebuffer:createFramebuffer,bindVertexBufferToProgramAttribute:bindVertexBufferToProgramAttribute,bindTextureUnit:bindTextureUnit,unbindTextureUnit:unbindTextureUnit,getProgramUniformLocationOrThrow:getProgramUniformLocationOrThrow,getProgramUniformLocation:getProgramUniformLocation,bindTextureToProgramUniformSampler:bindTextureToProgramUniformSampler,bindCanvasToFramebuffer:bindCanvasToFramebuffer,bindColorTextureToFramebuffer:bindColorTextureToFramebuffer,unbindColorTextureFromFramebuffer:unbindColorTextureFromFramebuffer,validateFramebuffer:validateFramebuffer,getFramebufferErrorMessage:getFramebufferErrorMessage,getTextureShapeFromLogicalShape:getTextureShapeFromLogicalShape,isReshapeFree:isReshapeFree});function createVertexShader$1(e){return createVertexShader(e,\"\\n    precision highp float;\\n    attribute vec3 clipSpacePos;\\n    attribute vec2 uv;\\n    varying vec2 resultUV;\\n\\n    void main() {\\n      gl_Position = vec4(clipSpacePos, 1);\\n      resultUV = uv;\\n    }\")}function createVertexBuffer(e){return createStaticVertexBuffer(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function createIndexBuffer(e){return createStaticIndexBuffer(e,new Uint16Array([0,1,2,2,1,3]))}function getTextureConfig(e,t){var r,n,o,a,i,s,u,l=e;return 2===ENV.get(\"WEBGL_VERSION\")?(r=l.R32F,n=l.R16F,o=l.RGBA32F,a=l.RED,i=4,s=1,u=l.HALF_FLOAT):(r=e.RGBA,n=e.RGBA,o=l.RGBA,a=e.RGBA,i=4,s=4,u=null!=t?t.HALF_FLOAT_OES:null),{internalFormatFloat:r,internalFormatHalfFloat:n,internalFormatPackedFloat:o,textureFormatFloat:a,downloadTextureFormat:e.RGBA,downloadUnpackNumChannels:i,defaultNumChannels:s,textureTypeHalfFloat:u}}function createAndConfigureTexture(e,t,r,n,o,a){validateTextureSize(t,r);var i=createTexture(e),s=e.TEXTURE_2D;return callAndCheck(e,function(){return e.bindTexture(s,i)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texImage2D(s,0,n,t,r,0,o,a,null)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)}),i}function createFloat32MatrixTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatFloat,n.textureFormatFloat,e.FLOAT)}function createFloat16MatrixTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatFloat,n.textureFormatFloat,n.textureTypeHalfFloat)}function createUnsignedBytesMatrixTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],e.RGBA,e.RGBA,e.UNSIGNED_BYTE)}function createPackedMatrixTexture(e,t,r,n){var o=getPackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatPackedFloat,e.RGBA,e.FLOAT)}function createFloat16PackedMatrixTexture(e,t,r,n){var o=getPackedMatrixTextureShapeWidthHeight(t,r);return createAndConfigureTexture(e,o[0],o[1],n.internalFormatHalfFloat,e.RGBA,n.textureTypeHalfFloat)}function bindVertexProgramAttributeStreams(e,t,r){return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),bindVertexBufferToProgramAttribute(e,t,\"clipSpacePos\",r,3,20,0)&&bindVertexBufferToProgramAttribute(e,t,\"uv\",r,2,20,12)}function uploadPixelDataToTexture(e,t,r){callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,r)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadDataToTexture(e,t,r,n,o,a){validateTextureSize(r,n),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,r,n,a,e.FLOAT,o)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadMatrixToTexture(e,t,r,n,o,a,i){var s,u=getUnpackedMatrixTextureShapeWidthHeight(r,n),l=u[0],c=u[1];1===i.defaultNumChannels?s=o:encodeMatrixToUnpackedArray(o,s=new Float32Array(getUnpackedArraySizeFromMatrixSize(o.length,a)),a),uploadDataToTexture(e,t,l,c,s,i.textureFormatFloat)}function uploadMatrixToPackedTexture(e,t,r,n,o,a,i){var s=getPackedMatrixTextureShapeWidthHeight(n,o),u=s[0],l=s[1],c=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n,o));encodeMatrixToPackedRGBA(a,r,n,o,c),uploadDataToTexture(e,t,u,l,c,e.RGBA)}function maybeCreateBufferFromOutputTexture(e,t,r,n,o){var a=t;if(2===ENV.get(\"WEBGL_VERSION\")){var i=e,s=i.createBuffer();callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,s)});var u=4*getUnpackedArraySizeFromMatrixSize(r*n,o.downloadUnpackNumChannels);callAndCheck(e,function(){return e.bufferData(i.PIXEL_PACK_BUFFER,u,e.STATIC_DRAW)}),callAndCheck(e,function(){return i.readPixels(0,0,n,r,e.RGBA,e.FLOAT,0)}),callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,null)}),a=s}return a}function downloadFloat32MatrixFromBuffer(e,t,r,n,o){var a=e,i=new Float32Array(getUnpackedArraySizeFromMatrixSize(r*n,o.downloadUnpackNumChannels));a.bindBuffer(e.ARRAY_BUFFER,t),a.getBufferSubData(e.ARRAY_BUFFER,0,i),a.bindBuffer(e.ARRAY_BUFFER,null);var s=new Float32Array(r*n);return decodeMatrixFromUnpackedArray(i,s,o.downloadUnpackNumChannels),s}function downloadFloat32MatrixFromOutputTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r),a=o[0],i=o[1],s=new Float32Array(getUnpackedArraySizeFromMatrixSize(t*r,n.downloadUnpackNumChannels));callAndCheck(e,function(){return e.readPixels(0,0,a,i,n.downloadTextureFormat,e.FLOAT,s)});var u=new Float32Array(t*r);return decodeMatrixFromUnpackedArray(s,u,n.downloadUnpackNumChannels),u}function downloadByteEncodedFloatMatrixFromOutputTexture(e,t,r,n){var o=getUnpackedMatrixTextureShapeWidthHeight(t,r),a=o[0],i=o[1],s=new Uint8Array(getUnpackedArraySizeFromMatrixSize(t*r,4));return callAndCheck(e,function(){return e.readPixels(0,0,a,i,n.downloadTextureFormat,e.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function downloadMatrixFromPackedOutputTexture(e,t,r,n,o,a,i){var s=getPackedMatrixTextureShapeWidthHeight(o,a),u=s[0],l=s[1],c=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(o,a));callAndCheck(e,function(){return e.readPixels(0,0,u,l,e.RGBA,e.FLOAT,c)});var p=new Float32Array(sizeFromShape([t,r,n]));return decodeMatrixFromPackedRGBA(c,t,r,n,p)}var gpgpu_util=Object.freeze({createVertexShader:createVertexShader$1,createVertexBuffer:createVertexBuffer,createIndexBuffer:createIndexBuffer,getTextureConfig:getTextureConfig,createFloat32MatrixTexture:createFloat32MatrixTexture,createFloat16MatrixTexture:createFloat16MatrixTexture,createUnsignedBytesMatrixTexture:createUnsignedBytesMatrixTexture,createPackedMatrixTexture:createPackedMatrixTexture,createFloat16PackedMatrixTexture:createFloat16PackedMatrixTexture,bindVertexProgramAttributeStreams:bindVertexProgramAttributeStreams,uploadPixelDataToTexture:uploadPixelDataToTexture,uploadMatrixToTexture:uploadMatrixToTexture,uploadMatrixToPackedTexture:uploadMatrixToPackedTexture,maybeCreateBufferFromOutputTexture:maybeCreateBufferFromOutputTexture,downloadFloat32MatrixFromBuffer:downloadFloat32MatrixFromBuffer,downloadFloat32MatrixFromOutputTexture:downloadFloat32MatrixFromOutputTexture,downloadByteEncodedFloatMatrixFromOutputTexture:downloadByteEncodedFloatMatrixFromOutputTexture,downloadMatrixFromPackedOutputTexture:downloadMatrixFromPackedOutputTexture}),GPGPUContext=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:getWebGLContext(ENV.get(\"WEBGL_VERSION\")),1===ENV.get(\"WEBGL_VERSION\")?(this.textureFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_float\"),this.colorBufferFloatExtension=this.gl.getExtension(\"WEBGL_color_buffer_float\"),ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")||(this.textureHalfFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_half_float\"),this.colorBufferHalfFloatExtension=this.gl.getExtension(\"EXT_color_buffer_half_float\"))):this.colorBufferFloatExtension=getExtensionOrThrow(this.gl,\"EXT_color_buffer_float\"),this.vertexBuffer=createVertexBuffer(this.gl),this.indexBuffer=createIndexBuffer(this.gl),this.framebuffer=createFramebuffer(this.gl),this.textureConfig=getTextureConfig(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),null!=this.outputTexture&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");var t=this.gl;callAndCheck(t,function(){return t.finish()}),callAndCheck(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),callAndCheck(t,function(){return t.deleteFramebuffer(e.framebuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,enableDebugWebGLErrorChecking(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat32MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),createUnsignedBytesMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),uploadPixelDataToTexture(this.gl,e,t)},e.prototype.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16PackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createPackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(unbindColorTextureFromFramebuffer(this.gl,this.framebuffer),this.outputTexture=null),callAndCheck(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,r,n){this.throwIfDisposed();var o=getNumChannels();return uploadMatrixToTexture(this.gl,e,t,r,n,o,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,r,n,o){return this.throwIfDisposed(),uploadMatrixToPackedTexture(this.gl,e,t,r,n,o,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,r){var n=this;return this.downloadMatrixDriver(e,function(){return downloadFloat32MatrixFromOutputTexture(n.gl,t,r,n.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,r){var n=this;return this.downloadMatrixDriver(e,function(){return downloadByteEncodedFloatMatrixFromOutputTexture(n.gl,t,r,n.textureConfig)})},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t,r){return downloadFloat32MatrixFromBuffer(this.gl,e,t,r,this.textureConfig)},e.prototype.maybeCreateBufferFromTexture=function(e,t,r){this.bindTextureToFrameBuffer(e);var n=maybeCreateBufferFromOutputTexture(this.gl,e,t,r,this.textureConfig);return this.unbindTextureToFrameBuffer(),n},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,r,n=this;if(ENV.get(\"WEBGL_FENCE_API_ENABLED\")){var o=e,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),r=function(){var e=o.clientWaitSync(a,0,0);return e===o.ALREADY_SIGNALED||e===o.CONDITION_SATISFIED},t=a}else ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(t=this.beginQuery(),this.endQuery(),r=function(){return n.isQueryAvailable(t,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}):r=function(){return!0};return{query:t,isFencePassed:r}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,r,n,o,a){var i=this;return this.downloadMatrixDriver(e,function(){return downloadMatrixFromPackedOutputTexture(i.gl,t,r,n,o,a,i.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,r=createFragmentShader(t,e),n=createVertexShader$1(t),o=createProgram(t);return callAndCheck(t,function(){return t.attachShader(o,n)}),callAndCheck(t,function(){return t.attachShader(o,r)}),linkProgram(t,o),this.autoDebugValidate&&validateProgram(t,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=bindVertexProgramAttributeStreams(t,this.program,this.vertexBuffer)),o},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&callAndCheck(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&validateProgram(this.gl,this.program),callAndCheck(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,r){return void 0===r&&(r=!0),this.throwIfDisposed(),r?getProgramUniformLocationOrThrow(this.gl,e,t):getProgramUniformLocation(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var r=this;return this.throwIfDisposed(),callAndCheck(this.gl,function(){return r.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,r){this.throwIfDisposed(),this.throwIfNoProgram(),bindTextureToProgramUniformSampler(this.gl,this.program,e,t,r)},e.prototype.setOutputMatrixTexture=function(e,t,r){this.setOutputMatrixTextureDriver(e,r,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,r){this.throwIfDisposed();var n=getPackedMatrixTextureShapeWidthHeight(t,r),o=n[0],a=n[1];this.setOutputMatrixTextureDriver(e,o,a)},e.prototype.setOutputMatrixWriteRegion=function(e,t,r,n){this.setOutputMatrixWriteRegionDriver(r,e,n,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,r,n){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")},e.prototype.debugValidate=function(){null!=this.program&&validateProgram(this.gl,this.program),validateFramebuffer(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),callAndCheck(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=getExtensionOrThrow(this.gl,2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),r=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,r),r}var n=this.getQueryTimerExtensionWebGL1(),o=n.createQueryEXT();return n.beginQueryEXT(n.TIME_ELAPSED_EXT,o),o},e.prototype.endQuery=function(){if(2!==ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,r=this.getQueryTimerExtensionWebGL2();t.endQuery(r.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(r){switch(r.label){case 0:return[4,repeatedTry(function(){return t.disposed||t.isQueryAvailable(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))})];case 1:return r.sent(),[2,this.getQueryTime(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))]}})})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var r=this.gl;return r.getQueryParameter(e,r.QUERY_RESULT)/1e6}var n=this.getQueryTimerExtensionWebGL1();return n.getQueryObjectEXT(e,n.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var r=this.gl,n=this.getQueryTimerExtensionWebGL2(),o=r.getQueryParameter(e,r.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(n=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,n.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(n.GPU_DISJOINT_EXT)),o&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise(function(r){t.addItemToPoll(function(){return e.isFencePassed()},function(){return r()})})},e.prototype.pollItems=function(){for(var e=binSearchLastTrue(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var r=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||repeatedTry(function(){return r.pollItems(),0===r.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),bindColorTextureToFramebuffer(this.gl,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(bindColorTextureToFramebuffer(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)):unbindColorTextureFromFramebuffer(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var r=t();return this.unbindTextureToFrameBuffer(),r},e.prototype.setOutputMatrixTextureDriver=function(e,t,r){this.throwIfDisposed();var n=this.gl;bindColorTextureToFramebuffer(n,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(n),this.outputTexture=e,callAndCheck(n,function(){return n.viewport(0,0,t,r)}),callAndCheck(n,function(){return n.scissor(0,0,t,r)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,r,n){var o=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return o.gl.scissor(e,t,r,n)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error(\"No GPU program is currently set.\")},e}();function binSearchLastTrue(e){for(var t=0,r=e.length-1,n=-1;t<=r;){var o=t+r>>1;e[o]()?(n=o,t=o+1):r=o-1}return n}function compileProgram(e,t,r,n){for(var o=t.userCode,a=r.map(function(e,r){var n={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked};return{name:t.variableNames[r],shapeInfo:n}}),i=a.map(function(e){return e.shapeInfo}),s={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked},u=makeShader(a,s,o,!0===t.supportsBroadcasting,t.usesPackedTextures),l=e.createProgram(u),c={},p=0;p<t.variableNames.length;p++){var d=t.variableNames[p];c[d]=e.getUniformLocation(l,d,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:i,outShapeInfo:s}}function validateBinaryAndProgram(e,t){if(e.length!==t.length)throw Error(\"Binary was compiled with \"+e.length+\" inputs, but was executed with \"+t.length+\" inputs\");e.forEach(function(e,r){var n=e.logicalShape,o=t[r],a=o.shape;if(!arraysEqual(n,a))throw Error(\"Binary was compiled with different shapes than the current args. Shapes \"+n+\" and \"+a+\" must match\");if(!e.isUniform||!o.isUniform){var i=e.texShape,s=o.isUniform?null:o.texData.texShape;if(!arraysEqual(i,s))throw Error(\"Binary was compiled with different texture shapes than the current args. Shape \"+i+\" and \"+s+\" must match\")}})}function runProgram(e,t,r,n){validateBinaryAndProgram(e.inShapeInfos,t),validateBinaryAndProgram([e.outShapeInfo],[r]);var o=r.texData.texture,a=r.texData.texShape,i=e.gpgpu;r.texData.isPacked?i.setOutputPackedMatrixTexture(o,a[0],a[1]):i.setOutputMatrixTexture(o,a[0],a[1]),i.setProgram(e.webGLProgram),t.forEach(function(t,r){var n=e.program.variableNames[r],o=e.uniformLocations[n];if(null!=o){if(t.isUniform){if(1===sizeFromShape(t.shape))i.gl.uniform1f(o,t.uniformValues[0]);else{var a=t.uniformValues;a instanceof Float32Array||(a=new Float32Array(a)),i.gl.uniform1fv(o,a)}return}var s=t.texData.texture;i.setInputMatrixTexture(s,o,r)}}),null!=n&&n(i,e.webGLProgram),i.executeProgram()}function makeShaderKey(e,t,r){var n=\"\";t.concat(r).forEach(function(e){n+=e.shape+\"_\"+(e.isUniform?\"uniform\":e.texData.texShape)});var o=e.userCode,a=(!0===e.supportsBroadcasting).toString(),i=e.constructor.name;return i+=\"_\"+a+\"_\"+n+\"_\"+o}var Im2ColProgram=function(){return function(e,t,r){this.variableNames=[\"A\"],this.outputShape=e;var n=r.filterWidth,o=r.inChannels,a=r.strideWidth,i=r.strideHeight,s=r.padInfo,u=r.outWidth,l=r.dilationWidth,c=r.dilationHeight,p=s.left,d=s.top,h=o*n;this.userCode=\"\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n\\n        vec4 result = vec4(0);\\n\\n        for(int row=0; row<=1; row++) {\\n          for(int col=0; col<=1; col++) {\\n            int blockIndex = rc.y + col;\\n            int pos = rc.x + row;\\n\\n            if(blockIndex >= \"+e[1]+\" || pos >= \"+e[0]+\") continue;\\n\\n            int offsetY = int(blockIndex / (\"+u+\")) * \"+i+\" - \"+d+\";\\n            int d0 = offsetY + \"+c+\" * (pos / \"+h+\");\\n\\n            if(d0 >= \"+t[0]+\" || d0 < 0) continue;\\n\\n            int offsetX = int(mod(float(blockIndex), \"+u+\".) * \"+a+\". - \"+p+\".);\\n            int d1 = offsetX + \"+l+\" * (int(mod(float(pos), \"+h+\".) / \"+o+\".));\\n\\n            if(d1 >= \"+t[1]+\" || d1 < 0) continue;\\n\\n            result[row * 2 + col] = getA(d0, d1, int(mod(float(pos), \"+o+\".)));\\n          }\\n        }\\n\\n        gl_FragColor = result;\\n      }\\n    \"}}(),LRNProgram=function(){return function(e,t,r,n,o){this.variableNames=[\"x\"],this.outputShape=[];var a,i=t,s=e[3]-1;this.outputShape=e;var u=\"float(\"+r+\") + float(\"+n+\") * sum\";a=.5===o?\"inversesqrt(\"+u+\")\":1===o?\"1.0/(\"+u+\")\":\"exp(log(\"+u+\") * float(-\"+o+\"));\",this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n        int d = coords[3];\\n        float x = getX(b, r, c, d);\\n        float sum = 0.0;\\n        for (int j = -\"+i+\"; j <= \"+i+\"; j++) {\\n          int idx = d + j;\\n          if (idx >= 0 && idx <=  \"+s+\") {\\n            float z = getX(b, r, c, idx);\\n            sum += z * z;\\n          }\\n        }\\n        float val = x * \"+a+\";\\n        setOutput(val);\\n      }\\n    \"}}(),LRNGradProgram=function(){return function(e,t,r,n,o){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=r,this.alpha=n,this.beta=o,this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float result = 0.0;\\n        for (int d = 0; d < \"+this.depth+\"; ++d) {\\n          int depthBegin = int(max(0.0, float(d - \"+t+\")));\\n          int depthEnd = int(min(float(\"+this.depth+\"),\\n              float(d + \"+t+\" + 1)));\\n\\n          const int MIN_DEPTH_BEGIN = 0;\\n          const int MAX_DEPTH_END = \"+this.depth+\";\\n\\n          float norm = 0.0;\\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd) {\\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n\\n          norm = float(\"+n+\") * norm + float(\"+r+\");\\n\\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd){\\n              float dyi = -2.0 * float(\"+n+\")\\n                * float(\"+o+\")\\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\\n                / norm;\\n              if (k == d) {\\n                dyi += pow(norm, -1.0 * \"+o+\");\\n              }\\n              if (k == coords[3]) {\\n                dyi *= getDy(b, r, c, d);\\n                result += dyi;\\n              }\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n      }\\n      setOutput(result);\\n      }\\n    \"}}(),MaxPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;var t=e.strideHeight,r=e.strideWidth,n=e.dilationHeight,o=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=o-1-e.padInfo.top,s=a-1-e.padInfo.left,u=o*a-1;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+i+\", \"+s+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+o+\";\\n          wR += \"+n+\") {\\n          float dyR = float(dyRCorner + wR) / \"+t+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+a+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+r+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n            int maxPosValue = \"+u+\" - int(getMaxPos(b, idyR, idyC, d));\\n\\n            // Get the current value, check it against the value from the\\n            // position matrix.\\n            int curPosValue = wR * \"+a+\" + wC;\\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\\n\\n            dotProd += dyValue * mask;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),MatMulProgram=function(){return function(e,t,r,n){void 0===r&&(r=!1),void 0===n&&(n=!1),this.variableNames=[\"matrixA\",\"matrixB\"];var o=e[0],a=r?e[2]:e[1],i=n?t[1]:t[2],s=r?e[1]:e[2];this.outputShape=[o,a,i];var u=function(e,t){return r?\"batch, \"+t+\" + \"+e+\", aRow\":\"batch, aRow, \"+t+\" + \"+e},l=function(e,t){return n?\"batch, bCol, \"+t+\" + \"+e:\"batch, \"+t+\" + \"+e+\", bCol\"},c=4*Math.floor(s/4),p=s%4;this.userCode=\" float dotARowBCol(int batch, int aRow, int bCol) {\\n      float result = 0.0;\\n      for (int i = 0; i < \"+c+\"; i += 4) {\\n        vec4 a = vec4(\\n          getMatrixA(\"+u(0,\"i\")+\"),\\n          getMatrixA(\"+u(1,\"i\")+\"),\\n          getMatrixA(\"+u(2,\"i\")+\"),\\n          getMatrixA(\"+u(3,\"i\")+\")\\n        );\\n        vec4 b = vec4(\\n          getMatrixB(\"+l(0,\"i\")+\"),\\n          getMatrixB(\"+l(1,\"i\")+\"),\\n          getMatrixB(\"+l(2,\"i\")+\"),\\n          getMatrixB(\"+l(3,\"i\")+\")\\n        );\\n\\n        result += dot(a, b);\\n      }\\n\\n      if (\"+(1===p)+\") {\\n        result += getMatrixA(\"+u(0,c)+\") *\\n          getMatrixB(\"+l(0,c)+\");\\n      } else if (\"+(2===p)+\") {\\n        vec2 a = vec2(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\")\\n        );\\n        vec2 b = vec2(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\")\\n        );\\n        result += dot(a, b);\\n      } else if (\"+(3===p)+\") {\\n        vec3 a = vec3(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\"),\\n          getMatrixA(\"+u(2,c)+\")\\n        );\\n        vec3 b = vec3(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\"),\\n          getMatrixB(\"+l(2,c)+\")\\n        );\\n        result += dot(a, b);\\n      }\\n\\n      return result;\\n    }\\n\\n    void main() {\\n      ivec3 resBRC = getOutputCoords();\\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\\n    }\\n    \"}}(),MatMulPackedProgram=function(){return function(e,t,r,n,o){void 0===n&&(n=!1),void 0===o&&(o=!1),this.variableNames=[\"matrixA\",\"matrixB\"],this.usesPackedTextures=!0,this.outputShape=r;var a=n?e[0]:e[1],i=Math.ceil(a/2),s=n?\"i * 2, rc.x\":\"rc.x, i * 2\",u=o?\"rc.y, i * 2\":\"i * 2, rc.y\",l=n?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],c=o?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"];this.userCode=\"\\n      const float sharedDimension = \"+i+\".0;\\n\\n      vec4 dot2x2ARowBCol(ivec2 rc) {\\n        vec4 result = vec4(0);\\n        for (int i = 0; i < \"+i+\"; i++) {\\n          vec4 a = getMatrixA(\"+s+\");\\n          vec4 b = getMatrixB(\"+u+\");\\n\\n          result += (\"+l[0]+\" * \"+c[0]+\") + (\"+l[1]+\" * \"+c[1]+\");\\n        }\\n        return result;\\n      }\\n\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n        setOutput(dot2x2ARowBCol(rc));\\n      }\\n    \"}}(),MultinomialProgram=function(){function e(e,t,r){this.variableNames=[\"probs\"],this.outputShape=[e,r],this.userCode=\"\\n      uniform float seed;\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n\\n        float r = random(seed);\\n        float cdf = 0.0;\\n\\n        for (int i = 0; i < \"+(t-1)+\"; i++) {\\n          cdf += getProbs(batch, i);\\n\\n          if (r < cdf) {\\n            setOutput(float(i));\\n            return;\\n          }\\n        }\\n\\n        // If no other event happened, last event happened.\\n        setOutput(float(\"+(t-1)+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(r,n){null==t.seedLoc&&(t.seedLoc=r.getUniformLocation(n,\"seed\")),r.gl.uniform1f(t.seedLoc,e)}},e}(),OneHotProgram=function(){return function(e,t,r,n){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int index = round(getIndices(coords.x));\\n        setOutput(mix(float(\"+n+\"), float(\"+r+\"),\\n                      float(index == coords.y)));\\n      }\\n    \"}}();function getVecChannels(e,t){return[\"x\",\"y\",\"z\",\"w\",\"u\",\"v\"].slice(0,t).map(function(t){return e+\".\"+t})}function getChannels(e,t){return 1===t?[e]:getVecChannels(e,t)}function getSourceCoords$1(e,t){if(1===e)return\"rc\";for(var r=\"\",n=0;n<e;n++)r+=t[n],n<e-1&&(r+=\",\");return r}var PackProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e;var t=e.length,r=getChannels(\"rc\",t),n=getCoordsDataType(t),o=getOutOfBoundsCondition(t,e,r),a=getSetup(t,e[e.length-1],e[e.length-2],r),i=getOutput(e,r);this.userCode=\"\\n      void main() {\\n        \"+n+\" rc = getOutputCoords();\\n\\n        if(\"+o+\") {\\n          gl_FragColor = vec4(0);\\n        } else {\\n          \"+a+\"\\n\\n          setOutput(vec4(\"+i+\"));\\n        }\\n      }\\n    \"}}();function getSourceCoordsArr(e,t){for(var r=[],n=0;n<=1;n++)for(var o=0;o<=1;o++){for(var a=(0===n?\"r\":\"rp1\")+\", \"+(0===o?\"c\":\"cp1\"),i=2;i<e;i++)a=t[t.length-1-i]+\",\"+a;r.push(a)}return r}function getOutOfBoundsCondition(e,t,r){if(1===e)return\"rc > \"+t[0];for(var n=\"\",o=e-2;o<e;o++)n+=r[o]+\" >= \"+t[o],o<e-1&&(n+=\"||\");return n}function getSetup(e,t,r,n){if(1===e)return\"\";var o=n.slice(-2);return\"\\n    int r = \"+o[0]+\";\\n    int c = \"+o[1]+\";\\n    int rp1 = r + 1;\\n    int cp1 = c + 1;\\n\\n    bool cEdge = cp1 >= \"+t+\";\\n    bool rEdge = rp1 >= \"+r+\";\\n  \"}function getOutput(e,t){var r=e.length,n=getSourceCoordsArr(r,t);return 1===r?\"getA(rc),\\n            rc + 1 >= \"+e[0]+\" ? 0. : getA(rc + 1),\\n            0, 0\":\"getA(\"+n[0]+\"),\\n          cEdge ? 0. : getA(\"+n[1]+\"),\\n          rEdge ? 0. : getA(\"+n[2]+\"),\\n          rEdge || cEdge ? 0. : getA(\"+n[3]+\")\"}var PadProgram=function(){return function(e,t,r){this.variableNames=[\"x\"],this.outputShape=t.map(function(t,r){return t[0]+e[r]+t[1]});var n=e.length,o=getCoordsDataType(n),a=t.map(function(e){return e[0]}).join(\",\"),i=t.map(function(t,r){return t[0]+e[r]}).join(\",\"),s=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,n);this.userCode=1!==n?\"\\n      \"+o+\" start = \"+o+\"(\"+a+\");\\n      \"+o+\" end = \"+o+\"(\"+i+\");\\n\\n      void main() {\\n        \"+o+\" outC = getOutputCoords();\\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\\n          setOutput(float(\"+r+\"));\\n        } else {\\n          \"+o+\" coords = outC - start;\\n          setOutput(getX(\"+s+\"));\\n        }\\n      }\\n    \":\"\\n        int start = \"+a+\";\\n        int end = \"+i+\";\\n\\n        void main() {\\n          int outC = getOutputCoords();\\n          if (outC < start || outC >= end) {\\n            setOutput(float(\"+r+\"));\\n          } else {\\n            setOutput(getX(outC - start));\\n          }\\n        }\\n      \"}}(),Pool2DProgram=function(){return function(e,t,r){if(this.variableNames=[\"x\"],\"avg\"===t&&r)throw new Error(\"Cannot compute positions for average pool.\");var n=e.filterWidth,o=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,s=e.dilationWidth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=e.padInfo.top,p=e.padInfo.left;this.outputShape=e.outShape;var d=\"avg\"===t,h=\"0.0\";if(d||(h=\"-1.0 / 0.0\"),r)this.userCode=\"\\n        const ivec2 strides = ivec2(\"+o+\", \"+a+\");\\n        const ivec2 pads = ivec2(\"+c+\", \"+p+\");\\n\\n        void main() {\\n          ivec4 coords = getOutputCoords();\\n          int batch = coords[0];\\n          int d = coords[3];\\n\\n          ivec2 xRCCorner = coords.yz * strides - pads;\\n          int xRCorner = xRCCorner.x;\\n          int xCCorner = xRCCorner.y;\\n\\n          // max/min x(?, ?, d) to get y(yR, yC, d).\\n          // ? = to be determined\\n          float minMaxValue = 0.0;\\n          float minMaxValueFound = 0.0;\\n          int minMaxPosition = 0;\\n          float avgValue = 0.0;\\n\\n          for (int wR = 0; wR < \"+u+\";\\n              wR += \"+i+\") {\\n            int xR = xRCorner + wR;\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int wC = 0; wC < \"+l+\";\\n                wC += \"+s+\") {\\n              int xC = xCCorner + wC;\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float value = getX(batch, xR, xC, d);\\n\\n              // If a min / max value has already been found, use it. If not,\\n              // use the current value.\\n              float currMinMaxValue = mix(\\n                  value, minMaxValue, minMaxValueFound);\\n              if (value >= currMinMaxValue) {\\n                minMaxValue = value;\\n                minMaxValueFound = 1.0;\\n                minMaxPosition = wR * \"+l+\" + wC;\\n              }\\n            }\\n          }\\n          setOutput(float(minMaxPosition));\\n        }\\n      \";else{var f=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"avg\"===t&&(f=\"avgValue / count\");var m=4*Math.floor(n/4),g=n%4,v=\"\\n      if (\"+d+\") {\\n        avgValue += dot(values, ones);\\n      } else {\\n        minMaxValue = max(values, minMaxValue);\\n      }\\n    \";this.userCode=\"\\n      const ivec2 strides = ivec2(\"+o+\", \"+a+\");\\n      const ivec2 pads = ivec2(\"+c+\", \"+p+\");\\n      const float initializationValue = \"+h+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float count = 0.0;\\n\\n      float getValue(int batch, int xR, int xC, int d) {\\n        if (xC < 0 || xC >= \"+e.inWidth+\") {\\n          return initializationValue;\\n        }\\n        count += 1.0;\\n        return getX(batch, xR, xC, d);\\n      }\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // max/min x(?, ?, d) to get y(yR, yC, d).\\n        // ? = to be determined\\n        vec4 minMaxValue = vec4(\"+h+\");\\n        float avgValue = 0.0;\\n        count = 0.0;\\n\\n        for (int wR = 0; wR < \"+u+\";\\n            wR += \"+i+\") {\\n          int xR = xRCorner + wR;\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+m+\"; wC += 4) {\\n            int xC = xCCorner + wC * \"+s+\";\\n\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + \"+s+\", d),\\n              getValue(batch, xR, xC + 2 * \"+s+\", d),\\n              getValue(batch, xR, xC + 3 * \"+s+\", d)\\n            );\\n\\n            \"+v+\"\\n          }\\n\\n          int xC = xCCorner + \"+m+\";\\n          if (\"+(1===g)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              initializationValue,\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+v+\"\\n          } else if (\"+(2===g)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + \"+s+\", d),\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+v+\"\\n          } else if (\"+(3===g)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + \"+s+\", d),\\n              getValue(batch, xR, xC + 2 * \"+s+\", d),\\n              initializationValue\\n            );\\n\\n            \"+v+\"\\n          }\\n        }\\n        setOutput(\"+f+\");\\n      }\\n    \"}}}(),ReduceProgram=function(){return function(e,t){this.variableNames=[\"x\"];var r=e.windowSize,n=e.batchSize,o=e.inSize,a=Math.ceil(o/r);this.outputShape=[n,a];var i=\"0.0\",s=\"\";\"prod\"===t?i=\"1.0\":\"min\"===t?(i=\"1.0 / 0.0\",s=\"min\"):\"max\"===t&&(i=\"-1.0 / 0.0\",s=\"max\");var u=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"sum\"===t?u=\"sumValue\":\"prod\"===t?u=\"prodValue\":\"all\"===t?u=\"allValue\":\"any\"===t&&(u=\"anyValue\");var l=4*Math.floor(r/4),c=r%4,p=\"\\n      if (\"+(\"sum\"===t)+\") {\\n        sumValue += dot(values, ones);\\n      } else if (\"+(\"prod\"===t)+\") {\\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\\n        prodValue *= tmp[0] * tmp[1];\\n      } else {\\n        minMaxValue = \"+s+\"(values, minMaxValue);\\n      }\\n    \",d=\"vec4\";\"all\"===t?(i=\"1.0\",p=\"\\n        bool reducedAllValue = all(values);\\n        float floatedReducedAllValue = float(reducedAllValue);\\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\\n      \",d=\"bvec4\"):\"any\"===t&&(i=\"0.0\",p=\"\\n        bool reducedAnyValue = any(values);\\n        float floatedReducedAnyValue = float(reducedAnyValue);\\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\\n      \",d=\"bvec4\");var h=\"\";o%r>0&&(h=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = \"+i+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+h+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+r+\";\\n\\n        vec4 minMaxValue = vec4(\"+i+\");\\n        float prodValue = 1.0;\\n        float sumValue = 0.0;\\n        float allValue = 1.0;\\n        float anyValue = 0.0;\\n\\n        for (int i = 0; i < \"+l+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          \"+p+\"\\n        }\\n\\n        int inIdx = inOffset + \"+l+\";\\n        if (\"+(1===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(2===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(3===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        }\\n        setOutput(\"+u+\");\\n      }\\n    \"}}(),ReshapePackedProgram=function(){return function(e,t){this.variableNames=[\"A\"],this.usesPackedTextures=!0,this.outputShape=e;for(var r=\"\",n=0;n<4;n++){var o=\"thisRC = rc;\";n%2==1&&(o+=\"thisRC.z += 1;\"),n>1&&(o+=\"thisRC.y += 1;\"),r+=\"\\n        \"+o+\"\\n        \"+(n>0?\"if(thisRC.y < rows && thisRC.z < cols){\":\"\")+\"\\n          int flatIndex = getFlatIndex(thisRC);\\n\\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\\n\\n          result[\"+n+\"] =\\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\\n        \"+(n>0?\"}\":\"\")+\"\\n      \"}this.userCode=\"\\n      \"+getReshapedInputCoords(t)+\"\\n      \"+getFlatIndex(e)+\"\\n\\n      void main() {\\n        ivec3 rc = getOutputCoords();\\n\\n        vec4 result = vec4(0.);\\n\\n        ivec3 thisRC;\\n        int rows = \"+e[1]+\";\\n        int cols = \"+e[2]+\";\\n\\n        \"+r+\"\\n\\n        setOutput(result);\\n      }\\n    \"}}();function getFlatIndex(e){return\"\\n    int getFlatIndex(ivec3 coords) {\\n      return round(\"+dotify([\"coords.x\",\"coords.y\",\"coords.z\"],computeStrides(e).map(function(e){return e.toString()}).concat([\"1.\"]))+\");\\n    }\\n  \"}function getReshapedInputCoords(e){return\"\\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\\n      \"+getLogicalCoordinatesFromFlatIndex([\"r\",\"c\",\"d\"],e)+\"\\n      return ivec3(r, c, d);\\n    }\\n  \"}var ResizeBilinearBackpropProgram=function(){return function(e,t,r){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var n=t.shape,o=n[1],a=n[2],i=e.shape,s=i[1],u=i[2],l=[r&&s>1?o-1:o,r&&u>1?a-1:a],c=[r&&s>1?s-1:s,r&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(startRLerp - float(winHeight / 2));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(startCLerp - float(winWidth / 2));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float dxR = float(dyR) * heightScale;\\n            int topDxRIndex = int(floor(dxR));\\n            int bottomDxRIndex = int(min(ceil(dxR), \"+(o-1)+\".0));\\n            float dxRLerp = dxR - float(topDxRIndex);\\n            float inverseDxRLerp = 1.0 - dxRLerp;\\n\\n            float dxC = float(dyC) * widthScale;\\n            int leftDxCIndex = int(floor(dxC));\\n            int rightDxCIndex = int(min(ceil(dxC), \"+(a-1)+\".0));\\n            float dxCLerp = dxC - float(leftDxCIndex);\\n            float inverseDxCLerp = 1.0 - dxCLerp;\\n\\n            if (r == topDxRIndex && c == leftDxCIndex) {\\n              // topLeft\\n              accumulator +=\\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == topDxRIndex && c == rightDxCIndex) {\\n              // topRight\\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\\n              // bottomLeft\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\\n              // bottomRight\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeBilinearProgram=function(){return function(e,t,r,n){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,r,s];var u=[n&&t>1?a-1:a,n&&r>1?i-1:i],l=[n&&t>1?t-1:t,n&&r>1?r-1:r];this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the four integer indices.\\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n        ivec2 sourceCeilRC = ivec2(\\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\\n\\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n        float newValue = top + (bottom - top) * fracRC.x;\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ResizeNearestNeigborBackpropProgram=function(){return function(e,t,r){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var n=t.shape,o=n[1],a=n[2],i=e.shape,s=i[1],u=i[2],l=[r&&s>1?o-1:o,r&&u>1?a-1:a],c=[r&&s>1?s-1:s,r&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float sourceFracRow =\\n              float(\"+l[0]+\") *\\n                (float(dyR) / float(\"+c[0]+\"));\\n\\n            float sourceFracCol =\\n                float(\"+l[1]+\") *\\n                  (float(dyC) / float(\"+c[1]+\"));\\n\\n            int sourceNearestRow = int(min(\\n                float(int(\"+o+\") - 1),\\n                \"+r+\" ? float(round(sourceFracRow)) :\\n                                  float(floor(sourceFracRow))));\\n\\n            int sourceNearestCol = int(min(\\n                float(int(\"+a+\") - 1),\\n                \"+r+\" ? float(round(sourceFracCol)) :\\n                                  float(floor(sourceFracCol))));\\n\\n            if (r == sourceNearestRow && c == sourceNearestCol) {\\n              accumulator += getDy(b, dyR, dyC, d);\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeNearestNeighborProgram=function(){return function(e,t,r,n){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,r,s];var u=[n&&t>1?a-1:a,n&&r>1?i-1:i],l=[n&&t>1?t-1:t,n&&r>1?r-1:r],c=n?\"0.5\":\"0.0\";this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the coordinators of nearest neighbor point.\\n        ivec2 sourceNearestRC = ivec2(\\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + \"+c+\")));\\n\\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ReverseProgram=function(){return function(e,t){this.variableNames=[\"x\"];var r=e.length;if(r>4)throw new Error(\"WebGL backend: Reverse of rank-\"+r+\" tensor is not yet supported\");if(this.outputShape=e,1!==r){var n=e.map(function(r,n){return function(r){return-1!==t.indexOf(r)&&1!==e[r]?e[r]+\" - coords[\"+r+\"] - 1\":\"coords[\"+r+\"]\"}(n)}).join(\",\"),o=getCoordsDataType(r);this.userCode=\"\\n      void main() {\\n        \"+o+\" coords = getOutputCoords();\\n        setOutput(getX(\"+n+\"));\\n      }\\n    \"}else this.userCode=\"\\n        void main() {\\n          int coord = getOutputCoords();\\n          setOutput(getX(\"+e[0]+\" - coord - 1));\\n        }\\n      \"}}(),ScatterProgram=function(){return function(e,t,r,n,o,a,i){void 0===i&&(i=!0),this.variableNames=[\"updates\",\"indices\",\"defaultValue\"],this.outputShape=a;var s=getCoordsDataType(o.length),u=getCoordsDataType(a.length),l=\"\";1===r?l=\"i\":2===r&&(l=\"i, j\");var c=\"getIndices(\"+l+\")\",p=\"\";1===n?p=\"i\":2===n&&(p=\"i, coords[1]\");var d=\"getUpdates(\"+p+\")\",h=t>1?\"strides[j]\":\"strides\";this.userCode=\"\\n        \"+s+\" strides = \"+s+\"(\"+o+\");\\n\\n        void main() {\\n          \"+u+\" coords = getOutputCoords();\\n          float sum = 0.0;\\n          bool found = false;\\n          for (int i = 0; i < \"+e+\"; i++) {\\n            int flattenedIndex = 0;\\n            for (int j = 0; j < \"+t+\"; j++) {\\n              int index = round(\"+c+\");\\n              flattenedIndex += index * \"+h+\";\\n            }\\n            if (flattenedIndex == coords[0]) {\\n              sum += \"+d+\";\\n              found = true;\\n            }\\n          }\\n          setOutput(mix(getDefaultValue(), sum, float(found)));\\n        }\\n      \"}}(),SegmentOpProgram=function(){return function(e,t){this.variableNames=[\"x\",\"segmentIds\"];var r=e.windowSize,n=e.batchSize,o=e.inSize,a=e.numSegments,i=a*Math.ceil(o/r);this.outputShape=[n,i];var s=4*Math.floor(r/4),u=r%4,l=\"\\n        sumValue += dot(values, filter);\\n    \",c=\"\";o%r>0&&(c=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \");var p=\"\";o%r>0&&(p=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return -1.0;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = 0.0;\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+c+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      float getSegmentIdAtIndex(int inIdx) {\\n        \"+p+\"\\n        return getSegmentIds(inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = int(floor(float(outIdx) / float(\\n          \"+a+\")) * float(\"+r+\"));\\n        int currentSeg = int(mod(float(outIdx), float(\"+a+\")));\\n\\n        float sumValue = 0.0;\\n\\n        for (int i = 0; i < \"+s+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\\n          );\\n\\n          \"+l+\"\\n        }\\n\\n        int inIdx = inOffset + \"+s+\";\\n        if (\"+(1===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            0,\\n            0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(2===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n              0,\\n              0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(3===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        }\\n        setOutput(sumValue);\\n      }\\n    \"}}(),SelectProgram=function(){return function(e,t,r){var n,o;if(this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t,r>4)throw Error(\"Where for rank \"+r+\" is not yet supported\");if(1===r)o=\"resRC\",n=\"resRC\";else{for(var a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],i=[],s=[],u=0;u<t.length;u++)s.push(\"\"+a[u]),u<e&&i.push(\"\"+a[u]);n=i.join(),o=s.join()}var l=getCoordsDataType(r);this.userCode=\"\\n      void main() {\\n        \"+l+\" resRC = getOutputCoords();\\n        float cVal = getC(\"+n+\");\\n        if (cVal >= 1.0) {\\n          setOutput(getA(\"+o+\"));\\n        } else {\\n          setOutput(getB(\"+o+\"));\\n        }\\n      }\\n    \"}}(),SliceProgram=function(){function e(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;var t=getCoordsDataType(this.rank),r=getCoords$1(this.rank);this.userCode=\"\\n      uniform \"+t+\" start;\\n\\n      void main() {\\n        \"+t+\" sourceLoc = start + getOutputCoords();\\n        setOutput(getSource(\"+r+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error(\"The rank (\"+this.rank+\") of the program must match the length of start (\"+e.length+\")\");return function(r,n){if(null!=t.startLoc||(t.startLoc=r.getUniformLocationNoThrow(n,\"start\"),null!=t.startLoc))if(1===t.rank)r.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)r.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)r.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error(\"Slicing for rank \"+t.rank+\" is not yet supported\");r.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}();function getCoords$1(e){if(1===e)return\"sourceLoc\";if(2===e)return\"sourceLoc.x, sourceLoc.y\";if(3===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z\";if(4===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w\";throw Error(\"Slicing for rank \"+e+\" is not yet supported\")}var StridedSliceProgram=function(){return function(e,t,r,n){this.variableNames=[\"x\"];var o=r.filter(function(e,t){return-1===n.indexOf(t)});this.outputShape=o;var a=r.length,i=getCoordsDataType(r.length),s=getCoordsDataType(o.length),u=\"\";if(1===a)u=\"coords * strides + begin\";else{var l=0;u=r.map(function(e,t){return-1===n.indexOf(t)?(l++,1===o.length?\"coords * strides[\"+t+\"] + begin[\"+t+\"]\":\"coords[\"+(l-1)+\"] * strides[\"+t+\"] + begin[\"+t+\"]\"):\"begin[\"+t+\"]\"}).join(\",\")}this.userCode=\"\\n      \"+i+\" begin = \"+i+\"(\"+e+\");\\n      \"+i+\" strides = \"+i+\"(\"+t+\");\\n\\n      void main() {\\n        \"+s+\" coords = getOutputCoords();\\n        setOutput(getX(\"+u+\"));\\n      }\\n    \"}}(),TextureManager=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t,r){var n,o=getPhysicalFromLogicalTextureType(t,r),a=getKeyFromTextureShape(e,o,r);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===PhysicalTextureType.PACKED_2X2_FLOAT32?n=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):o===PhysicalTextureType.PACKED_2X2_FLOAT16?n=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):o===PhysicalTextureType.UNPACKED_FLOAT32?n=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):o===PhysicalTextureType.UNPACKED_FLOAT16?n=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):o===PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE&&(n=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(n),n},e.prototype.releaseTexture=function(e,t,r,n){if(null!=this.freeTextures){var o=getKeyFromTextureShape(t,getPhysicalFromLogicalTextureType(r,n),n);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(e),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(e);if(i<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");a.splice(i,1),this.log()}},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",this.numFreeTextures+\" / \"+this.numUsedTextures,\"(\"+e+\")\")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});for(var t in this.usedTextures)this.usedTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function getPhysicalFromLogicalTextureType(e,t){if(t)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.PACKED_2X2_FLOAT32:PhysicalTextureType.PACKED_2X2_FLOAT16;if(e===TextureUsage.DOWNLOAD||e===TextureUsage.PIXELS)return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;if(e===TextureUsage.UPLOAD)return PhysicalTextureType.UNPACKED_FLOAT32;if(e===TextureUsage.RENDER)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.UNPACKED_FLOAT32:PhysicalTextureType.UNPACKED_FLOAT16;throw new Error(\"Unknown logical texture type \"+e)}function getKeyFromTextureShape(e,t,r){return e[0]+\"_\"+e[1]+\"_\"+t+\"_\"+r}var TileProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var r=new Array(e.length),n=0;n<r.length;n++)r[n]=e[n]*t[n];this.outputShape=r,this.rank=r.length;var o=getCoordsDataType(this.rank),a=getSourceCoords$2(e);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords$2(e){var t=e.length;if(t>5)throw Error(\"Tile for rank \"+t+\" is not yet supported\");if(1===t)return\"imod(resRC, \"+e[0]+\")\";for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],n=[],o=0;o<e.length;o++)n.push(\"imod(\"+r[o]+\", \"+e[o]+\")\");return n.join()}var TransposeProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var r=new Array(e.length),n=0;n<r.length;n++)r[n]=e[t[n]];this.outputShape=r,this.rank=r.length;var o=getCoordsDataType(this.rank),a=getSwitchedCoords(t);this.userCode=\"\\n    void main() {\\n      \"+o+\" resRC = getOutputCoords();\\n      setOutput(getA(\"+a+\"));\\n    }\\n    \"}}();function getSwitchedCoords(e){var t=e.length;if(t>6)throw Error(\"Transpose for rank \"+t+\" is not yet supported\");for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],n=new Array(t),o=0;o<e.length;o++)n[e[o]]=r[o];return n.join()}var ERF_P=.3275911,ERF_A1=.254829592,ERF_A2=-.284496736,ERF_A3=1.421413741,ERF_A4=-1.453152027,ERF_A5=1.061405429,SELU_SCALEALPHA=1.7580993408473768,SELU_SCALE=1.0507009873554805,UnaryOpProgram=function(){function e(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      uniform float NAN;\\n      float unaryOperation(float x) {\\n        \"+t+\"\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        float y = unaryOperation(x);\\n\\n        setOutput(y);\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,r){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(r,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),CHECK_NAN_SNIPPET$1=\"if (isNaN(x)) return x;\",ABS=\"return abs(x);\",RELU=CHECK_NAN_SNIPPET$1+\"\\n  return (x < 0.0) ? 0.0 : x;\\n\",ELU=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",SELU=\"\\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\\n  // see: https://arxiv.org/abs/1706.02515\\n  float scaleAlpha = \"+SELU_SCALEALPHA+\";\\n  float scale = \"+SELU_SCALE+\";\\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\\n\";function 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0;do{i=(o=2*this.random()-1)*o+(a=2*this.random()-1)*a}while(i>=1||0===i);var s=Math.sqrt(-2*Math.log(i)/i);t=this.mean+this.stdDev*o*s,r=this.mean+this.stdDev*a*s,this.truncated&&!this.isValidTruncated(t)||(n=!0)}return this.truncated&&!this.isValidTruncated(r)||(this.nextVal=this.convertValue(r)),this.convertValue(t)},e.prototype.convertValue=function(e){return null==this.dtype||\"float32\"===this.dtype?e:Math.round(e)},e.prototype.isValidTruncated=function(e){return e<=this.upper&&e>=this.lower},e}();function clone_(e){var t=convertToTensor(e,\"x\",\"clone\");return ENV.engine.runKernel(function(e){return Tensor.make(t.shape,{dataId:t.dataId},t.dtype)},{$x:t},function(e){return{$x:function(){return e.toFloat()}}})}function eye_(e,t,r,n){void 0===n&&(n=\"float32\"),null==t&&(t=e);for(var o=buffer([e,t],n),a=e<=t?e:t,i=0;i<a;++i)o.set(1,i,i);var s=o.toTensor().as2D(e,t);if(null==r)return s;if(1===r.length)return tile(expandDims(s,0),[r[0],1,1]);if(2===r.length)return tile(expandDims(expandDims(s,0),0),[r[0],r[1],1,1]);if(3===r.length)return tile(expandDims(expandDims(expandDims(s,0),0),0),[r[0],r[1],r[2],1,1]);throw new Error(\"eye() currently supports only 1D and 2D batchShapes, but received \"+r.length+\"D.\")}function randomNormal_(e,t,r,n,o){if(void 0===t&&(t=0),void 0===r&&(r=1),null!=n&&\"bool\"===n)throw new Error(\"Unsupported data type \"+n);for(var a=new MPRandGauss(t,r,n,!1,o),i=buffer(e,n),s=0;s<i.values.length;s++)i.values[s]=a.nextValue();return i.toTensor()}function truncatedNormal_(e,t,r,n,o){if(void 0===t&&(t=0),void 0===r&&(r=1),null!=n&&\"bool\"===n)throw new Error(\"Unsupported data type \"+n);for(var a=new MPRandGauss(t,r,n,!0,o),i=buffer(e,n),s=0;s<i.values.length;s++)i.values[s]=a.nextValue();return i.toTensor()}function randomUniform_(e,t,r,n){void 0===t&&(t=0),void 0===r&&(r=1),void 0===n&&(n=\"float32\");for(var o=buffer(e,n),a=0;a<o.values.length;a++)o.values[a]=randUniform(t,r);return o.toTensor()}function rand_(e,t,r){var n=sizeFromShape(e),o=null;if(null==r||\"float32\"===r)o=new Float32Array(n);else if(\"int32\"===r)o=new Int32Array(n);else{if(\"bool\"!==r)throw new Error(\"Unknown data type \"+r);o=new Uint8Array(n)}for(var a=0;a<n;a++)o[a]=t();return Tensor.make(e,{values:o},r)}function multinomial_(e,t,r,n){void 0===n&&(n=!1);var o=convertToTensor(e,\"logits\",\"multinomial\"),a=o.size,i=o.rank;if(a<2)throw new Error(\"Error in multinomial: you need at least 2 outcomes, but got \"+a+\".\");if(i>2)throw new Error(\"Rank of probabilities must be 1 or 2, but is \"+i);r=r||Math.random();var s=1===i?o.as2D(1,-1):o,u=ENV.engine.runKernel(function(e){return e.multinomial(s,n,t,r)},{logits2D:s});return 1===i?u.as1D():u}function oneHot_(e,t,r,n){void 0===r&&(r=1),void 0===n&&(n=0);var o=convertToTensor(e,\"indices\",\"oneHot\",\"int32\");if(assert(\"int32\"===o.dtype,\"Indices must be of dtype `int32`\"),t<2)throw new Error(\"Error in oneHot: depth must be >=2, but it is \"+t);return ENV.engine.runKernel(function(e){return e.oneHot(o,t,r,n)},{$indices:o},function(e){return{$indices:function(){return zerosLike(o)}}})}function fromPixels_(e,t){if(void 0===t&&(t=3),t>4)throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");return ENV.engine.fromPixels(e,t)}function toPixels(e,t){return __awaiter(this,void 0,void 0,function(){var r,n,o,a,i,s,u,l,c,p,d,h,f,m,g,v,y,x,T,E;return __generator(this,function(w){switch(w.label){case 0:if(2!==(r=convertToTensor(e,\"img\",\"toPixels\",\"int32\")).rank&&3!==r.rank)throw new Error(\"toPixels only supports rank 2 or 3 tensors, got rank \"+r.rank+\".\");if(n=r.shape.slice(0,2),o=n[0],a=n[1],(i=2===r.rank?1:r.shape[2])>4||2===i)throw new Error(\"toPixels only supports depth of size 1, 3 or 4 but got \"+i);return s=r.min(),u=r.max(),[4,s.data()];case 1:return l=w.sent()[0],[4,u.data()];case 2:if(c=w.sent()[0],s.dispose(),u.dispose(),\"float32\"===r.dtype){if(l<0||c>1)throw new Error(\"Tensor values for a float32 Tensor must be in the range [0 - 1] but got range [\"+l+\" - \"+c+\"].\")}else{if(\"int32\"!==r.dtype)throw new Error(\"Unsupported type for toPixels: \"+r.dtype+\". Please use float32 or int32 tensors.\");if(l<0||c>255)throw new Error(\"Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [\"+l+\" - \"+c+\"].\")}return[4,r.data()];case 3:for(p=w.sent(),d=\"float32\"===r.dtype?255:1,h=new Uint8ClampedArray(a*o*4),f=0;f<o*a;++f)m=void 0,g=void 0,v=void 0,y=void 0,1===i?(m=p[f]*d,g=p[f]*d,v=p[f]*d,y=255):3===i?(m=p[3*f]*d,g=p[3*f+1]*d,v=p[3*f+2]*d,y=255):4===i&&(m=p[4*f]*d,g=p[4*f+1]*d,v=p[4*f+2]*d,y=p[4*f+3]*d),h[(x=4*f)+0]=Math.round(m),h[x+1]=Math.round(g),h[x+2]=Math.round(v),h[x+3]=Math.round(y);return null!=t&&(t.width=a,t.height=o,T=t.getContext(\"2d\"),E=new ImageData(h,a,o),T.putImageData(E,0,0)),r!==e&&r.dispose(),[2,h]}})})}function reshape_(e,t){var r=convertToTensor(e,\"x\",\"reshape\");t=inferFromImplicitShape(t,r.size),assert(r.size===sizeFromShape(t),\"new shape and old shape must have the same number of elements.\");return ENV.engine.runKernel(function(e){return e.reshape(r,t)},{$x:r},function(e){return{$x:function(){return e.reshape(r.shape)}}})}function squeeze_(e,t){var r=convertToTensor(e,\"x\",\"squeeze\");return reshape(r,squeezeShape(r.shape,t).newShape)}function cast_(e,t){var r=convertToTensor(e,\"x\",\"cast\");return ENV.engine.runKernel(function(e){return e.cast(r,t)},{$x:r},function(e){return{$x:function(){return e.clone()}}})}function tile_(e,t){var r=convertToTensor(e,\"x\",\"tile\");assert(r.rank===t.length,\"Error in transpose: rank of input \"+r.rank+\" must match length of reps \"+t+\".\");return ENV.engine.runKernel(function(e){return e.tile(r,t)},{$x:r},function(e){return{$x:function(){var n=zerosLike(r);if(1===r.rank)for(var o=0;o<t[0];++o)n=n.add(e.slice([o*r.shape[0]],[r.shape[0]]));else if(2===r.rank)for(o=0;o<t[0];++o)for(var a=0;a<t[1];++a)n=n.add(e.slice([o*r.shape[0],a*r.shape[1]],[r.shape[0],r.shape[1]]));else if(3===r.rank)for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(var i=0;i<t[2];++i)n=n.add(e.slice([o*r.shape[0],a*r.shape[1],i*r.shape[2]],[r.shape[0],r.shape[1],r.shape[2]]));else{if(4!==r.rank)throw new Error(\"Gradient for tile operation is not implemented for rank-\"+r.rank+\" tensors yet.\");for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(i=0;i<t[2];++i)for(var s=0;s<t[3];++s)n=n.add(e.slice([o*r.shape[0],a*r.shape[1],i*r.shape[2],s*r.shape[3]],[r.shape[0],r.shape[1],r.shape[2],r.shape[3]]))}return n}}})}function pad1d_(e,t,r){return void 0===r&&(r=0),assert(2===t.length,\"Invalid number of paddings. Must be length of 2.\"),pad(e,[t],r)}function pad2d_(e,t,r){return void 0===r&&(r=0),assert(2===t.length&&2===t[0].length&&2===t[1].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,r)}function pad3d_(e,t,r){return void 0===r&&(r=0),assert(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,r)}function pad4d_(e,t,r){return void 0===r&&(r=0),assert(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,r)}function pad_(e,t,r){void 0===r&&(r=0);var n=convertToTensor(e,\"x\",\"pad\");if(0===n.rank)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");var o=t.map(function(e){return e[0]});return ENV.engine.runKernel(function(e){return e.pad(n,t,r)},{$x:n},function(e){return{$x:function(){return e.slice(o,n.shape)}}})}function stack_(e,t){void 0===t&&(t=0);var r=convertToTensorArray(e,\"tensors\",\"stack\");if(assert(r.length>=1,\"Pass at least one tensor to tf.stack\"),1===r.length)return r[0].expandDims(t);var n=r[0].rank,o=r[0].shape,a=r[0].dtype;assert(t<=n,\"Axis must be <= rank of the tensor\"),r.forEach(function(e){assertShapesMatch(o,e.shape,\"All tensors passed to stack must have matching shapes\")}),r.forEach(function(e){assert(a===e.dtype,\"All tensors passed to stack must have matching dtypes\")});var i=r.map(function(e){return e.expandDims(t)});return concat(i,t)}function batchToSpaceND_(e,t,r){var n=convertToTensor(e,\"x\",\"batchToSpaceND\"),o=t.reduce(function(e,t){return e*t});assert(n.rank>=1+t.length,\"input rank is \"+n.rank+\" but should be > than blockShape.length \"+t.length),assert(r.length===t.length,\"crops.length is \"+r.length+\" but should be equal to blockShape.length  \"+t.length),assert(n.shape[0]%o==0,\"input tensor batch is \"+n.shape[0]+\" but is not divisible by the product of the elements of blockShape \"+t.join(\" * \")+\" === \"+o);return ENV.engine.runKernel(function(e){return e.batchToSpaceND(n,t,r)},{$x:n},function(e){return{$x:function(){return e.spaceToBatchND(t,r)}}})}function spaceToBatchND_(e,t,r){var n=convertToTensor(e,\"x\",\"spaceToBatchND\");assert(n.rank>=1+t.length,\"input rank \"+n.rank+\" should be > than [blockShape] \"+t.length),assert(r.length===t.length,\"paddings.shape[0] \"+r.length+\" must be equal to [blockShape] \"+t.length),assert(n.shape.reduce(function(e,n,o){return o>0&&o<=t.length?e&&(n+r[o-1][0]+r[o-1][1])%t[o-1]==0:e},!0),\"input spatial dimensions \"+n.shape.slice(1)+\" with paddings \"+r.toString()+\" must be divisible by blockShapes \"+t.toString());return ENV.engine.runKernel(function(e){return e.spaceToBatchND(n,t,r)},{$x:n},function(e){return{$x:function(){return e.batchToSpaceND(t,r)}}})}function unstack_(e,t){void 0===t&&(t=0);for(var r,n=convertToTensor(e,\"x\",\"unstack\"),o=n.shape[t],a=Array(n.rank-1).fill(0),i=0,s=0;s<n.rank;s++)s!==t&&(a[i]=n.shape[s],i++);r=Array(o).fill(1);var u=Array(n.rank).fill(0),l=n.shape.slice();return r.map(function(e){l[t]=e;var r=n.slice(u,l);return u[t]+=e,r.reshape(a)})}function cumsum_(e,t,r,n){void 0===t&&(t=0),void 0===r&&(r=!1),void 0===n&&(n=!1);var o=convertToTensor(e,\"x\",\"cumsum\"),a=getAxesPermutation([t|=0],o.rank),i=o;null!=a&&(i=o.transpose(a));var s=getInnerMostAxes(1,o.rank)[0],u=ENV.engine.runKernel(function(e){return e.cumsum(i,s,r,n)},{permutedX:i},function(e){return{permutedX:function(){return e.cumsum(t,r,!n)}}});return null!=a&&(u=u.transpose(a)),u}function expandDims_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"expandDims\");assert(t<=r.rank,\"Axis must be <= rank of the tensor\");var n=r.shape.slice();return t<0&&(assert(-(r.rank+1)<=t,\"Axis must be in the interval [\"+-(r.rank+1)+\", \"+r.rank+\"]\"),t=r.rank+t+1),n.splice(t,0,1),reshape(r,n)}function depthToSpace_(e,t,r){void 0===r&&(r=\"NHWC\");var n=convertToTensor(e,\"x\",\"depthToSpace\"),o=\"NHWC\"===r?n.shape[1]:n.shape[2],a=\"NHWC\"===r?n.shape[2]:n.shape[3],i=\"NHWC\"===r?n.shape[3]:n.shape[1];return assert(o*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+o+\" and \"+t+\"  for depthToSpace with input shape\\n      \"+n.shape),assert(a*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+a+\" and \"+t+\" for depthToSpace with input shape\\n          \"+n.shape),assert(i%(t*t)==0,\"Dimension size must be evenly divisible by \"+t*t+\" but is \"+i+\" for depthToSpace with input shape \"+n.shape),ENV.engine.runKernel(function(e){return e.depthToSpace(n,t,r)},{$x:n})}function setdiff1dAsync_(e,t){return __awaiter(this,void 0,void 0,function(){var r,n,o,a,i,s,u,l,c,p;return __generator(this,function(d){switch(d.label){case 0:return r=convertToTensor(e,\"x\",\"setdiff1d\"),n=convertToTensor(t,\"y\",\"setdiff1d\"),assert(r.dtype===n.dtype,\"x and y should have the same dtype, but got x (\"+r.dtype+\") and y (\"+n.dtype+\").\"),assert(1===r.rank,\"x should be 1D tensor, but got x (\"+r.shape+\").\"),assert(1===n.rank,\"y should be 1D tensor, but got y (\"+n.shape+\").\"),[4,r.data()];case 1:return o=d.sent(),[4,n.data()];case 2:for(a=d.sent(),i=new Set(a),s=0,c=0;c<o.length;c++)i.has(o[c])||s++;for(u=new TensorBuffer([s],r.dtype),l=new TensorBuffer([s],\"int32\"),c=0,p=0;c<o.length;c++)i.has(o[c])||(u.values[p]=o[c],l.values[p]=c,p++);return[2,[u.toTensor(),l.toTensor()]]}})})}function buffer(e,t,r){return void 0===t&&(t=\"float32\"),new TensorBuffer(e,t,r)}function print(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}var batchToSpaceND=op({batchToSpaceND_:batchToSpaceND_}),cast=op({cast_:cast_}),clone=op({clone_:clone_}),cumsum=op({cumsum_:cumsum_}),depthToSpace=op({depthToSpace_:depthToSpace_}),expandDims=op({expandDims_:expandDims_}),eye=op({eye_:eye_}),fromPixels=op({fromPixels_:fromPixels_}),multinomial=op({multinomial_:multinomial_}),oneHot=op({oneHot_:oneHot_}),pad=op({pad_:pad_}),pad1d=op({pad1d_:pad1d_}),pad2d=op({pad2d_:pad2d_}),pad3d=op({pad3d_:pad3d_}),pad4d=op({pad4d_:pad4d_}),rand=op({rand_:rand_}),randomNormal=op({randomNormal_:randomNormal_}),randomUniform=op({randomUniform_:randomUniform_}),reshape=op({reshape_:reshape_}),spaceToBatchND=op({spaceToBatchND_:spaceToBatchND_}),squeeze=op({squeeze_:squeeze_}),stack=op({stack_:stack_}),tile=op({tile_:tile_}),truncatedNormal=op({truncatedNormal_:truncatedNormal_}),unstack=op({unstack_:unstack_}),setdiff1dAsync=setdiff1dAsync_;function whereImpl(e,t){for(var r=[],n=0;n<t.length;n++)t[n]&&r.push(n);var o=buffer(e,\"int32\"),a=buffer([r.length,e.length],\"int32\");for(n=0;n<r.length;n++){var i=o.indexToLoc(r[n]),s=n*e.length;a.values.set(i,s)}return a.toTensor()}var CPU_HANDOFF_SIZE_THRESHOLD=10,BEFORE_PAGING_CONSTANT=300,MATMUL_SHARED_DIM_THRESHOLD=1e3,MathBackendWebGL=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ENV.get(\"WEBGL_VERSION\")<1)throw new Error(\"WebGL is not supported on this device\");if(null==e){var r=getWebGLContext(ENV.get(\"WEBGL_VERSION\"));this.gpgpu=new GPGPUContext(r),this.canvas=r.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;ENV.get(\"WEBGL_PAGING_ENABLED\")&&(this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*BEFORE_PAGING_CONSTANT),this.textureManager=new TextureManager(this.gpgpu)}return e.prototype.register=function(e,t,r){if(this.texData.has(e))throw new Error(\"Data buffer is already registered\");this.texData.set(e,{shape:t,dtype:r,values:null,texture:null,complexTensors:null,texShape:null,usage:TextureUsage.RENDER,isPacked:!1})},e.prototype.setDataMover=function(e){this.texData=new DataStorage(e)},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var r=[e.height,e.width],n=[e.height,e.width,t];if(!(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(e instanceof HTMLVideoElement){if(null==this.fromPixels2DContext){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");if(\"complete\"!==document.readyState)throw new Error(\"The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object\");this.fromPixels2DContext=document.createElement(\"canvas\").getContext(\"2d\")}this.fromPixels2DContext.canvas.width=e.width,this.fromPixels2DContext.canvas.height=e.height,this.fromPixels2DContext.drawImage(e,0,0,e.width,e.height),e=this.fromPixels2DContext.canvas}var o=this.makeTensorHandle(r,\"int32\");this.texData.get(o.dataId).usage=TextureUsage.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(o.dataId),e);var a=new FromPixelsProgram(n),i=this.compileAndRun(a,[o]);return this.disposeData(o.dataId),i},e.prototype.makeTensorHandle=function(e,t){var r={};return this.register(r,e,t),{dataId:r,shape:e,dtype:t}},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendWebGL.write(): values can not be null\");var r=this.texData.get(e),n=r.texture,o=r.texShape,a=r.usage,i=r.dtype,s=r.isPacked;if(\"complex64\"===i)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");null!=n&&(this.releaseTexture(e,n,o,a,s),r.texture=null,r.texShape=null),r.usage=TextureUsage.UPLOAD,r.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){var t=this.texData.get(e),r=t.values,n=t.dtype,o=t.complexTensors;if(null!=r)return this.convertAndCacheOnCPU(e);var a,i,s=null!=this.activeTimers;(s&&(a=performance.now()),\"complex64\"===n)?i=mergeRealAndImagArrays(o.real.dataSync(),o.imag.dataSync()):i=this.getValuesFromTexture(e);return s&&(this.downloadWaitMs+=performance.now()-a),this.convertAndCacheOnCPU(e,i)},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i,s,u,l;return __generator(this,function(c){switch(c.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(r=this.texData.get(e),n=r.texture,o=r.values,a=r.texShape,null!=o)return[2,this.convertAndCacheOnCPU(e)];if(this.pendingRead.set(e,[]),!ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&2===ENV.get(\"WEBGL_VERSION\"))throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");return i=this.gpgpu.maybeCreateBufferFromTexture(n,a[0],a[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return c.sent(),s=i instanceof WebGLTexture?this.getValuesFromTexture(e):this.gpgpu.downloadFloat32MatrixFromBuffer(i,a[0],a[1]),u=this.convertAndCacheOnCPU(e,s),l=this.pendingRead.get(e),this.pendingRead.delete(e),l.forEach(function(e){return e(u)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,u]}})})},e.prototype.getValuesFromTexture=function(e){var t=this.texData.get(e),r=t.shape,n=t.dtype,o=t.texture,a=t.texShape;if(ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")){if(this.texData.get(e).isPacked){var i=sizeFromShape(r.slice(0,r.length-2)),s=r.length>1?r[r.length-2]:1,u=r[r.length-1];return this.gpgpu.downloadMatrixFromPackedTexture(o,i,s,u,a[0],a[1])}return this.gpgpu.downloadFloat32MatrixFromOutputTexture(o,a[0],a[1])}var l=this.makeTensorHandle(r,\"float32\");l.size=sizeFromShape(r),this.texData.get(l.dataId).usage=TextureUsage.DOWNLOAD;var c=new EncodeFloatProgram(r);this.compileAndRun(c,[{shape:r,dtype:n,dataId:e}],l,null,!1);var p=this.texData.get(l.dataId),d=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(p.texture,p.texShape[0],p.texShape[1]);return this.disposeData(l.dataId),d},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return t=this.activeTimers,r=[],n=!1,null==this.programTimersStack?(this.programTimersStack=r,n=!0):this.activeTimers.push(r),this.activeTimers=r,e(),o=flatten(this.activeTimers.map(function(e){return e.query})).filter(function(e){return null!=e}),a=flatten(this.activeTimers.map(function(e){return e.name})).filter(function(e){return null!=e}),this.activeTimers=t,n&&(this.programTimersStack=null),[4,Promise.all(o)];case 1:return i=u.sent(),s={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:sum(i),getExtraProfileInfo:function(){return i.map(function(e,t){return{name:a[t],ms:e}}).map(function(e){return e.name+\": \"+e.ms}).join(\", \")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,s]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(r){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),r=t.texture,n=t.texShape,o=t.usage,a=t.complexTensors,i=t.isPacked;null!=r&&this.releaseTexture(e,r,n,o,i),null!=a&&(a.real.dispose(),a.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getCPUBackend=function(){return ENV.get(\"WEBGL_CPU_FORWARD\")?(null==this.cpuBackend&&(this.cpuBackend=ENV.findBackend(\"cpu\")),this.cpuBackend):null},e.prototype.shouldExecuteOnCPU=function(e,t){var r=this;return void 0===t&&(t=CPU_HANDOFF_SIZE_THRESHOLD),null!=this.getCPUBackend()&&e.every(function(e){return null==r.texData.get(e.dataId).texture&&e.size<t})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var r=this.makeOutputArray(e.shape,\"complex64\");return this.texData.get(r.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},r},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,r){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.slice(e,t,r);var n=new SliceProgram(r),o=n.getCustomSetupFunc(t);return this.compileAndRun(n,[e],null,o)},e.prototype.stridedSlice=function(e,t,r,n,o,a,i,s,u){if(this.shouldExecuteOnCPU([e]))return this.cpuBackend.stridedSlice(e,t,r,n,o,a,i,s,u);var l=getStridedSlicedInfo(e.shape,t,r,n,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);var f=new StridedSliceProgram(c,n,p,d);return this.compileAndRun(f,[e])},e.prototype.reverse=function(e,t){var r=new ReverseProgram(e.shape,t);return this.compileAndRun(r,[e])},e.prototype.concat2Tensors=function(e,t,r){var n=computeOutShape([e.shape,t.shape],r),o=e.as2D(-1,sizeFromShape(e.shape.slice(r))),a=t.as2D(-1,sizeFromShape(t.shape.slice(r))),i=new ConcatProgram(o.shape,a.shape);return this.compileAndRun(i,[o,a]).reshape(n)},e.prototype.concat=function(e,t){if(this.shouldExecuteOnCPU(e))return this.cpuBackend.concat(e,t);if(1===e.length)return e[0];for(var r=e[0],n=1;n<e.length;++n)r=this.concat2Tensors(r,e[n],t);return r},e.prototype.neg=function(e){var t=new UnaryOpProgram(e.shape,NEG);return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,r,n){var o=r?e.shape[2]:e.shape[1],a=n?t.shape[1]:t.shape[2],i=r?e.shape[1]:e.shape[2],s=e.shape[0];if((1===o||1===a)&&i>MATMUL_SHARED_DIM_THRESHOLD){r&&(e=e.transpose([0,2,1])),n&&(t=t.transpose([0,2,1]));var u=1===a?e:e.as3D(s,i,1),l=1===a?2:1,c=1===a?t.as3D(s,1,i):t;return this.multiply(u,c).sum(l,!0)}if(1===s){var p=e.as2D(e.shape[1],e.shape[2]),d=t.as2D(t.shape[1],t.shape[2]),h=new MatMulPackedProgram(p.shape,d.shape,[o,a],r,n),f=this.compileAndRun(h,[p,d],this.makePackedTensor(h.outputShape));return!1===ENV.get(\"WEBGL_LAZILY_UNPACK\")&&(f=this.unpackTensor(f)),f.reshape([1,f.shape[0],f.shape[1]])}return this.compileAndRun(new MatMulProgram(e.shape,t.shape,r,n),[e,t])},e.prototype.multiply=function(e,t){if(\"complex64\"===e.dtype){var r=this.texData.get(e.dataId),n=this.texData.get(t.dataId),o=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.REAL,e.shape,t.shape),a=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.IMAG,e.shape,t.shape),i=[this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag),this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag)],s=this.compileAndRun(o,i),u=this.compileAndRun(a,i),l=this.complex(s,u);return s.dispose(),u.dispose(),l}if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.multiply(e,t);var c=new BinaryOpProgram(MUL,e.shape,t.shape),p=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],p)},e.prototype.batchNormalization=function(e,t,r,n,o,a){var i=[e,t,r],s=null;null!=a&&(s=a.shape,i.push(a));var u=null;null!=o&&(u=o.shape,i.push(o));var l=null,c=BatchNormProgram;ENV.get(\"WEBGL_PACK_BATCHNORMALIZATION\")&&(l=this.makePackedTensor(e.shape),c=BatchNormPackedProgram);var p=new c(e.shape,t.shape,r.shape,s,u,n);return this.compileAndRun(p,i,l)},e.prototype.localResponseNormalization4D=function(e,t,r,n,o){var a=new LRNProgram(e.shape,t,r,n,o);return this.compileAndRun(a,[e])},e.prototype.LRNGrad=function(e,t,r,n,o,a,i){var s=new LRNGradProgram(t.shape,n,o,a,i);return this.compileAndRun(s,[t,r,e])},e.prototype.tile=function(e,t){var r=new TileProgram(e.shape,t);return this.compileAndRun(r,[e])},e.prototype.pad=function(e,t,r){var n=new PadProgram(e.shape,t,r);return this.compileAndRun(n,[e])},e.prototype.transpose=function(e,t){var r=new TransposeProgram(e.shape,t);return this.compileAndRun(r,[e])},e.prototype.gather=function(e,t,r){var n=new GatherProgram(e.shape,t.size,r);return this.compileAndRun(n,[e,t])},e.prototype.batchToSpaceND=function(e,t,r){assert(e.rank<=4,\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");var n=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,n),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,n),s=getSliceBeginCoords(r,t.length),u=getSliceSize(i,r,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,r){assert(e.rank<=4,\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");var n=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,r);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,n,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,n,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,r){var n=e.shape[0],o=e.shape[1],a=computeOptimalWindowSize(o),i=new ReduceProgram({windowSize:a,inSize:o,batchSize:n},t),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],r);return this.compileAndRun(i,[e],c),1===c.shape[1]?c:this.reduce(c,t,r)},e.prototype.argReduce=function(e,t,r){void 0===r&&(r=null);var n=e.shape[0],o=e.shape[1];null!=r&&(n=r.shape[0],o=r.shape[1]);var a=computeOptimalWindowSize(o),i=new ArgMinMaxProgram({windowSize:a,inSize:o,batchSize:n},t,null==r),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],\"int32\"),p=[e];return null!=r&&p.push(r),this.compileAndRun(i,p,c),1===c.shape[1]?c:this.argReduce(e,t,c)},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o),i=sumOutType(e.dtype);return this.reduce(a,\"sum\",i).reshape(n)},e.prototype.prod=function(e,t){var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o),i=sumOutType(e.dtype);return this.reduce(a,\"prod\",i).reshape(n)},e.prototype.unsortedSegmentSum=function(e,t,r){var n=0,o=getAxesPermutation([n],e.rank),a=e;null!=o&&(a=e.transpose(o),n=getInnerMostAxes(1,e.rank)[0]);var i=computeOutShape$1(a.shape,n,r),s=sizeFromShape([a.shape[n]]),u=a.as2D(-1,s),l=sumOutType(e.dtype),c=this.segOpCompute(u,\"unsortedSegmentSum\",t,l,r).reshape(i);return null!=o&&(c=c.transpose(getUndoAxesPermutation(o))),c},e.prototype.segOpCompute=function(e,t,r,n,o){var a=e.shape[0],i=e.shape[1],s=segOpComputeOptimalWindowSize(i,o),u=new SegmentOpProgram({windowSize:s,inSize:i,batchSize:a,numSegments:o},t),l=u.outputShape,c=l[0],p=l[1],d=this.makeOutputArray([c,p],n);return this.compileAndRun(u,[e,r],d),d.shape[1]===o?d:(r=range(0,o).tile([i/s]),this.segOpCompute(d,t,r,n,o))},e.prototype.argMin=function(e,t){var r=[t];assertAxesAreInnerMostDims(\"argMin\",r,e.rank);var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=sizeFromShape(n[1]),i=e.as2D(-1,a);return this.argReduce(i,\"min\").reshape(o)},e.prototype.argMax=function(e,t){var r=[t];assertAxesAreInnerMostDims(\"argMax\",r,e.rank);var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=sizeFromShape(n[1]),i=e.as2D(-1,a);return this.argReduce(i,\"max\").reshape(o)},e.prototype.cumsum=function(e,t,r,n){if(t!==e.rank-1)throw new Error(\"WebGL cumsum shader expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);var o=new CumSumProgram(e.shape,r,n);return this.compileAndRun(o,[e])},e.prototype.equal=function(e,t){var r=new BinaryOpProgram(EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.notEqual=function(e,t){var r=new BinaryOpProgram(NOT_EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.less=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.less(e,t);var r=new BinaryOpProgram(LESS,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.lessEqual=function(e,t){var r=new BinaryOpProgram(LESS_EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.greater=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.greater(e,t);var r=new BinaryOpProgram(GREATER,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.greaterEqual=function(e,t){var r=new BinaryOpProgram(GREATER_EQUAL,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.logicalNot=function(e){var t=new UnaryOpProgram(e.shape,LOGICAL_NOT);return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var r=new BinaryOpProgram(LOGICAL_AND,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.logicalOr=function(e,t){var r=new BinaryOpProgram(LOGICAL_OR,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"bool\");return this.compileAndRun(r,[e,t],n)},e.prototype.select=function(e,t,r){var n=new SelectProgram(e.rank,t.shape,t.rank),o=this.makeOutputArray(n.outputShape,upcastType(t.dtype,r.dtype));return this.compileAndRun(n,[e,t,r],o)},e.prototype.where=function(e){warn(\"tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,r){return topkImpl(e.dataSync(),e.shape,e.dtype,t,r)},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"min\",a.dtype).reshape(n)},e.prototype.minimum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.minimum(e,t);var r=new BinaryOpProgram(MIN,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.mod=function(e,t){var r=new BinaryOpProgram(MOD,e.shape,t.shape),n=r.getCustomSetupFunc();return this.compileAndRun(r,[e,t],null,n)},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"max\",a.dtype).reshape(n)},e.prototype.maximum=function(e,t){if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.maximum(e,t);var r=new BinaryOpProgram(MAX,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"all\",a.dtype).reshape(n)},e.prototype.any=function(e,t){assertAxesAreInnerMostDims(\"any\",t,e.rank);var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=sizeFromShape(r[1]),a=e.as2D(-1,o);return this.reduce(a,\"any\",a.dtype).reshape(n)},e.prototype.squaredDifference=function(e,t){var r=new BinaryOpProgram(SQUARED_DIFFERENCE,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.realDivide=function(e,t){var r=new BinaryOpProgram(DIV,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"float32\");return this.compileAndRun(r,[e,t],n)},e.prototype.floorDiv=function(e,t){var r=new BinaryOpProgram(INT_DIV,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,\"int32\");return this.compileAndRun(r,[e,t],n)},e.prototype.add=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,ADD);var r=new BinaryOpProgram(ADD,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(r,[e,t],n)},e.prototype.complexSeparableBinaryOp=function(e,t,r){var n=this,o=this.texData.get(e.dataId),a=this.texData.get(t.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map(function(o){var a=o[0],i=o[1],s=new BinaryOpProgram(r,e.shape,t.shape),u=n.makeOutputArray(s.outputShape,upcastType(a.dtype,i.dtype)),l=n.makeComplexComponentTensorHandle(e,a),c=n.makeComplexComponentTensorHandle(t,i);return n.compileAndRun(s,[l,c],u)}),s=i[0],u=i[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],r=1;r<e.length;r++)t=this.add(t,e[r]);return t},e.prototype.subtract=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,SUB);if(this.shouldExecuteOnCPU([e,t]))return this.cpuBackend.subtract(e,t);var r=new BinaryOpProgram(SUB,e.shape,t.shape),n=this.makeOutputArray(r.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(r,[e,t],n)},e.prototype.pow=function(e,t){var r=new BinaryOpProgram(POW,e.shape,t.shape),n=r.getCustomSetupFunc(),o=this.makeOutputArray(r.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(r,[e,t],o,n)},e.prototype.ceil=function(e){var t=new UnaryOpProgram(e.shape,CEIL);return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new UnaryOpProgram(e.shape,FLOOR);return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new UnaryOpProgram(e.shape,SIGN);return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new UnaryOpProgram(e.shape,ROUND);return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new UnaryOpProgram(e.shape,EXP);return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new UnaryOpProgram(e.shape,EXPM1);return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new UnaryOpProgram(e.shape,LOG),r=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,r)},e.prototype.log1p=function(e){var t=new UnaryOpProgram(e.shape,LOG1P);return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new UnaryOpProgram(e.shape,SQRT);return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new UnaryOpProgram(e.shape,RSQRT);return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new UnaryOpProgram(e.shape,SQUARE);return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new UnaryOpProgram(e.shape,RECIPROCAL);return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new UnaryOpProgram(e.shape,RELU);return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new UnaryOpProgram(e.shape,ELU);return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var r=new BinaryOpProgram(ELU_DER,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.selu=function(e){var t=new UnaryOpProgram(e.shape,SELU);return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new UnaryOpProgram(e.shape,TO_INT),r=this.makeOutputArray(t.outputShape,\"int32\");return this.compileAndRun(t,[e],r)},e.prototype.clip=function(e,t,r){var n=new ClipProgram(e.shape,t,r);return this.compileAndRun(n,[e])},e.prototype.abs=function(e){var t=new UnaryOpProgram(e.shape,ABS);return this.compileAndRun(t,[e])},e.prototype.complexAbs=function(e){var t=this.texData.get(e.dataId),r=new ComplexAbsProgram(e.shape),n=[this.makeComplexComponentTensorHandle(e,t.complexTensors.real),this.makeComplexComponentTensorHandle(e,t.complexTensors.imag)];return this.compileAndRun(r,n)},e.prototype.sigmoid=function(e){var t=new UnaryOpProgram(e.shape,SIGMOID);return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new UnaryOpProgram(e.shape,SOFTPLUS);return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new UnaryOpProgram(e.shape,SIN);return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new UnaryOpProgram(e.shape,COS);return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new UnaryOpProgram(e.shape,TAN);return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new UnaryOpProgram(e.shape,ASIN);return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new UnaryOpProgram(e.shape,ACOS);return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new UnaryOpProgram(e.shape,ATAN);return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var r=new BinaryOpProgram(ATAN2,e.shape,t.shape);return this.compileAndRun(r,[e,t])},e.prototype.sinh=function(e){var t=new UnaryOpProgram(e.shape,SINH);return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new UnaryOpProgram(e.shape,COSH);return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new UnaryOpProgram(e.shape,TANH);return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new UnaryOpProgram(e.shape,ASINH);return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new UnaryOpProgram(e.shape,ACOSH),r=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,r)},e.prototype.atanh=function(e){var t=new UnaryOpProgram(e.shape,ATANH),r=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,r)},e.prototype.erf=function(e){var t=new UnaryOpProgram(e.shape,ERF);return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var r=new UnaryOpProgram(e.shape,STEP(t));return this.compileAndRun(r,[e])},e.prototype.conv2dWithIm2Row=function(e,t,r){var n=r.filterWidth,o=r.filterHeight,a=r.inChannels,i=r.outWidth,s=r.outHeight,u=n*o*a,l=s*i,c=[u,l],p=e.squeeze([0]),d=t.reshape([u,-1]),h=new Im2ColProgram(c,p.shape,r),f=this.compileAndRun(h,[p],this.makePackedTensor(c)),m=new MatMulPackedProgram(f.shape,d.shape,[l,r.outChannels],!0,!1),g=this.compileAndRun(m,[f,d],this.makePackedTensor(m.outputShape));return!1===ENV.get(\"WEBGL_LAZILY_UNPACK\")&&(g=this.unpackTensor(g)),g.reshape([1,s,i,r.outChannels])},e.prototype.conv2d=function(e,t,r){if(ENV.get(\"WEBGL_CONV_IM2COL\")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,r);var n=new Conv2DProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.conv2dDerInput=function(e,t,r){var n=new Conv2DDerInputProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.conv2dDerFilter=function(e,t,r){var n=new Conv2DDerFilterProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.depthwiseConv2D=function(e,t,r){var n=new DepthwiseConv2DProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,r){var n=new DepthwiseConv2DDerInputProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,r){var n=new DepthwiseConv2DDerFilterProgram(r);return this.compileAndRun(n,[e,t])},e.prototype.maxPool=function(e,t){var r=new Pool2DProgram(t,\"max\",!1),n=this.makeOutputArray(r.outputShape,e.dtype);return this.compileAndRun(r,[e],n)},e.prototype.avgPool=function(e,t){var r=new Pool2DProgram(t,\"avg\",!1),n=this.makeOutputArray(r.outputShape,\"float32\");return this.compileAndRun(r,[e],n)},e.prototype.maxPoolBackprop=function(e,t,r,n){var o=new Pool2DProgram(n,\"max\",!0),a=this.compileAndRun(o,[t]),i=new MaxPool2DBackpropProgram(n),s=this.makeOutputArray(i.outputShape,t.dtype),u=this.compileAndRun(i,[e,a],s);return a.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,r){var n=new AvgPool2DBackpropProgram(r),o=this.makeOutputArray(n.outputShape,t.dtype);return this.compileAndRun(n,[e],o)},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return this.texData.get(e.dataId).isPacked&&!isReshapeFree(e.shape,t)?this.packedReshape(e,t):reshapeTensor(e,t)},e.prototype.resizeBilinear=function(e,t,r,n){var o=new ResizeBilinearProgram(e.shape,t,r,n);return this.compileAndRun(o,[e])},e.prototype.resizeBilinearBackprop=function(e,t,r){var n=new ResizeBilinearBackpropProgram(e,t,r);return this.compileAndRun(n,[e])},e.prototype.resizeNearestNeighbor=function(e,t,r,n){var o=new ResizeNearestNeighborProgram(e.shape,t,r,n);return this.compileAndRun(o,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,r){var n=new ResizeNearestNeigborBackpropProgram(e,t,r);return this.compileAndRun(n,[e])},e.prototype.multinomial=function(e,t,r,n){var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=new MultinomialProgram(a,i,r),u=this.makeOutputArray(s.outputShape,\"int32\"),l=s.getCustomSetupFunc(n);return this.compileAndRun(s,[o],u,l)},e.prototype.oneHot=function(e,t,r,n){var o=new OneHotProgram(e.size,t,r,n);return this.compileAndRun(o,[e])},e.prototype.nonMaxSuppression=function(e,t,r,n,o){return warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),r,n,o)},e.prototype.cropAndResize=function(e,t,r,n,o,a){var i=new CropAndResizeProgram(e.shape,t.shape,n,o,a);return this.compileAndRun(i,[e,t,r])},e.prototype.depthToSpace=function(e,t,r){assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);var n=e.shape[0],o=(\"NHWC\"===r?e.shape[1]:e.shape[2])*t,a=(\"NHWC\"===r?e.shape[2]:e.shape[3])*t,i=(\"NHWC\"===r?e.shape[3]:e.shape[1])/(t*t),s=new DepthToSpaceProgram(\"NHWC\"===r?[n,o,a,i]:[n,i,o,a],t,r);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,r){return split(e,t,r)},e.prototype.scatterND=function(e,t,r){var n=calculateShapes(t,e,r),o=n.sliceRank,a=n.numUpdates,i=n.sliceSize,s=n.strides,u=n.outputSize,l=[u/i,i],c=e.reshape([a,o]),p=t.reshape([a,i]);if(0===u)return reshapeTensor(tensor([]),r);var d=scalar(0),h=new ScatterProgram(a,o,c.rank,p.rank,s,l);return this.compileAndRun(h,[p,c,d]).reshape(r)},e.prototype.sparseToDense=function(e,t,r,n){var o=calculateShapes(t,e,r),a=o.sliceRank,i=o.numUpdates,s=o.strides,u=o.outputSize,l=new ScatterProgram(i,a,e.rank,t.rank,s,[u,1],!1);return this.compileAndRun(l,[t,e,n]).reshape(r)},e.prototype.fft=function(e){return this.fftImpl(e,!1)},e.prototype.ifft=function(e){return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var r=this.texData.get(e.dataId),n=new FFTProgram(COMPLEX_FFT.REAL,e.shape,t),o=new FFTProgram(COMPLEX_FFT.IMAG,e.shape,t),a=[this.makeComplexComponentTensorHandle(e,r.complexTensors.real),this.makeComplexComponentTensorHandle(e,r.complexTensors.imag)],i=this.compileAndRun(n,a),s=this.compileAndRun(o,a),u=this.complex(i,s).as2D(e.shape[0],e.shape[1]);return i.dispose(),s.dispose(),u},e.prototype.gatherND=function(e,t){var r=t.shape,n=r[r.length-1],o=prepareAndValidate(e,t),a=o[0],i=o[1],s=o[2],u=o[3],l=t.reshape([i,n]),c=e.reshape([e.size/s,s]),p=new GatherNDProgram(n,u,[i,s]);return this.compileAndRun(p,[c,l]).reshape(a)},e.prototype.makeOutputArray=function(e,t){return Tensor.make(e,{},t)},e.prototype.makePackedTensor=function(e){var t=Tensor.make(e,{});return this.texData.get(t.dataId).isPacked=!0,t},e.prototype.unpackTensor=function(e){var t=new UnpackProgram(e.shape);return this.compileAndRun(t,[e])},e.prototype.getBatchDim=function(e,t){return void 0===t&&(t=2),sizeFromShape(e.slice(0,e.length-t))},e.prototype.getRowsCols=function(e){if(0===e.length)throw Error(\"Cannot get rows and columns of an empty shape array.\");return[e.length>1?e[e.length-2]:1,e[e.length-1]]},e.prototype.packedReshape=function(e,t){var r=e.reshape([this.getBatchDim(e.shape)].concat(this.getRowsCols(e.shape))),n=[this.getBatchDim(t)].concat(this.getRowsCols(t)),o=new ReshapePackedProgram(n,r.shape);return this.compileAndRun(o,[r],this.makePackedTensor(n)).reshape(t)},e.prototype.compileAndRun=function(e,t,r,n,o){var a=this;if(void 0===o&&(o=!0),null==r&&(r=this.makeOutputArray(e.outputShape,t[0].dtype)),0===r.size)return this.texData.get(r.dataId).values=getTypedArrayFromDType(r.dtype,0),r;var i=t.map(function(t){if(\"complex64\"===t.dtype)throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");var r=a.texData.get(t.dataId);if(null==r.texture&&(r.isPacked||!e.usesPackedTextures)&&sizeFromShape(t.shape)<=ENV.get(\"WEBGL_SIZE_UPLOAD_UNIFORM\"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:a.readSync(t.dataId)};if(r.isPacked!==!!e.usesPackedTextures){var n=void 0,o=void 0;r.isPacked?(n=new UnpackProgram(t.shape),o=a.compileAndRun(n,[t])):(n=new PackProgram(t.shape),o=a.compileAndRun(n,[t],a.makePackedTensor(t.shape))),r=a.texData.get(o.dataId),t=o}return a.uploadToGPU(t.dataId),{shape:t.shape,texData:r,isUniform:!1}});this.uploadToGPU(r.dataId);var s,u={shape:r.shape,texData:this.texData.get(r.dataId),isUniform:!1},l=makeShaderKey(e,i,u),c=this.getAndSaveBinary(l,function(){return compileProgram(a.gpgpu,e,i,u)}),p=null!=this.activeTimers;if(p&&(s=this.startTimer()),runProgram(c,i,u,n),ENV.get(\"WEBGL_PAGING_ENABLED\")&&o&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var d=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;d>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),f=this.texData.get(h),m=f.shape,g=f.dtype;d-=this.computeBytes(m,g),this.read(h)}return p&&(s=this.endTimer(s),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(s)})),r},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixels2DContext&&this.fromPixels2DContext.canvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return tidy(function(){return e.abs(scalar(1e-8)).get()>0?32:16})},e.prototype.uploadToGPU=function(e){var t=this.texData.get(e),r=t.shape,n=t.values,o=t.texture,a=t.dtype,i=t.usage,s=t.isPacked;if(null==o){var u,l=null!=this.activeTimers;l&&(u=performance.now());var c=getTextureShapeFromLogicalShape(r,s);t.texShape=c;var p=this.acquireTexture(e,c,i,s);if(t.texture=p,null!=n){if(s){var d=sizeFromShape(r.slice(0,r.length-2)),h=r.length>1?r[r.length-2]:1,f=r[r.length-1];this.gpgpu.uploadMatrixToPackedTexture(p,d,h,f,typedArrayToFloat32(n,a))}else this.gpgpu.uploadMatrixToTexture(p,c[0],c[1],typedArrayToFloat32(n,a));t.values=null,l&&(this.uploadWaitMs+=performance.now()-u)}}else{ENV.get(\"WEBGL_PAGING_ENABLED\")&&this.lruDataGPU.indexOf(e)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),this.lruDataGPU.push(e))}},e.prototype.convertAndCacheOnCPU=function(e,t){var r=this.delayedStorage,n=this.texData.get(e),o=n.texture,a=n.texShape,i=n.dtype,s=n.usage,u=n.isPacked;return r&&null!=o&&(this.releaseTexture(e,o,a,s,u),n.texture=null,n.texShape=null),n.usage=TextureUsage.UPLOAD,null!=t&&(n.values=float32ToTypedArray(t,i)),n.values},e.prototype.releaseTexture=function(e,t,r,n,o){var a=this.texData.get(e),i=a.shape,s=a.dtype;if(ENV.get(\"WEBGL_PAGING_ENABLED\")){var u=this.lruDataGPU.indexOf(e);u>=0&&this.lruDataGPU.splice(u,1)}this.numBytesInGPU-=this.computeBytes(i,s),this.textureManager.releaseTexture(t,r,n,o)},e.prototype.acquireTexture=function(e,t,r,n){var o=this.texData.get(e),a=o.shape,i=o.dtype;return ENV.get(\"WEBGL_PAGING_ENABLED\")&&this.lruDataGPU.push(e),this.numBytesInGPU+=this.computeBytes(a,i),this.textureManager.acquireTexture(t,r,n)},e.prototype.computeBytes=function(e,t){return sizeFromShape(e)*bytesPerElement(t)},e}();function float32ToTypedArray(e,t){if(\"float32\"===t||\"complex64\"===t)return e;if(\"int32\"===t||\"bool\"===t){for(var r=\"int32\"===t?new Int32Array(e.length):new Uint8Array(e.length),n=0;n<r.length;++n)r[n]=Math.round(e[n]);return r}throw new Error(\"Unknown dtype \"+t)}function typedArrayToFloat32(e,t){return e instanceof Float32Array?e:new Float32Array(e)}function neg_(e){var t=convertToTensor(e,\"x\",\"neg\");return ENV.engine.runKernel(function(e){return e.neg(t)},{$x:t},function(e){return{$x:function(){return e.neg()}}})}function ceil_(e){var t=convertToTensor(e,\"x\",\"ceil\");return ENV.engine.runKernel(function(e){return e.ceil(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function floor_(e){var t=convertToTensor(e,\"x\",\"floor\");return ENV.engine.runKernel(function(e){return e.floor(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function sign_(e){var t=convertToTensor(e,\"x\",\"sign\");return ENV.engine.runKernel(function(e){return e.sign(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function round_(e){var t=convertToTensor(e,\"x\",\"round\");return ENV.engine.runKernel(function(e){return e.round(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function exp_(e){var t=convertToTensor(e,\"x\",\"exp\");return ENV.engine.runKernel(function(e,r){return r(e.exp(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return e.mulStrict(r)}}})}function expm1_(e){var t=convertToTensor(e,\"x\",\"expm1\");return ENV.engine.runKernel(function(e){return e.expm1(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.exp())}}})}function log_(e){var t=convertToTensor(e,\"x\",\"log\");return ENV.engine.runKernel(function(e){return e.log(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat())}}})}function log1p_(e){var t=convertToTensor(e,\"x\",\"log1p\");return ENV.engine.runKernel(function(e){return e.log1p(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.add(scalar(1)))}}})}function sqrt_(e){var t=convertToTensor(e,\"x\",\"sqrt\");return ENV.engine.runKernel(function(e){return e.sqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().sqrt().mul(scalar(2)))}}})}function rsqrt_(e){var t=convertToTensor(e,\"x\",\"rsqrt\");return ENV.engine.runKernel(function(e){return e.rsqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.pow(scalar(1.5)).mul(scalar(2))).neg()}}})}function square_(e){var t=convertToTensor(e,\"x\",\"square\");return ENV.engine.runKernel(function(e){return e.square(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().mul(scalar(2)))}}})}function reciprocal_(e){var t=convertToTensor(e,\"x\",\"reciprocal\");return ENV.engine.runKernel(function(e){return e.reciprocal(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.square().neg())}}})}function abs_(e){var t=convertToTensor(e,\"x\",\"abs\");if(\"complex64\"===t.dtype)return ENV.engine.runKernel(function(e){return e.complexAbs(t)},{$x:t});return ENV.engine.runKernel(function(e){return e.abs(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().step(-1))}}})}function clipByValue_(e,t,r){var n=convertToTensor(e,\"x\",\"clipByValue\");assert(t<=r,\"Error in clip: min (\"+t+\") must be less than or equal to max (\"+r+\").\");return ENV.engine.runKernel(function(e){return e.clip(n,t,r)},{$x:n},function(e){return{$x:function(){return e.where(n.greaterEqual(scalar(t)).logicalAnd(n.lessEqual(scalar(r))),zerosLike(e))}}})}function sigmoid_(e){var t=convertToTensor(e,\"x\",\"sigmoid\");return ENV.engine.runKernel(function(e,r){return r(e.sigmoid(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return e.mulStrict(r.mul(scalar(1).sub(r)))}}})}function logSigmoid_(e){var t=convertToTensor(e,\"x\",\"logSigmoid\");return ENV.engine.runKernel(function(e){return e.softplus(t.neg()).neg()},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.neg().sigmoid())}}})}function softplus_(e){var t=convertToTensor(e,\"x\",\"softplus\");return ENV.engine.runKernel(function(e){return e.softplus(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.sigmoid())}}})}function sin_(e){var t=convertToTensor(e,\"x\",\"sin\");return ENV.engine.runKernel(function(e){return e.sin(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cos().mulStrict(e)}}})}function cos_(e){var t=convertToTensor(e,\"x\",\"cos\");return ENV.engine.runKernel(function(e){return e.cos(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sin().neg().mulStrict(e)}}})}function tan_(e){var t=convertToTensor(e,\"x\",\"tan\");return ENV.engine.runKernel(function(e){return e.tan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.cos().square())}}})}function asin_(e){var t=convertToTensor(e,\"x\",\"asin\");return ENV.engine.runKernel(function(e){return e.asin(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt())}}})}function acos_(e){var t=convertToTensor(e,\"x\",\"acos\");return ENV.engine.runKernel(function(e){return e.acos(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt()).neg()}}})}function atan_(e){var t=convertToTensor(e,\"x\",\"atan\");return ENV.engine.runKernel(function(e){return e.atan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()))}}})}function sinh_(e){var t=convertToTensor(e,\"x\",\"sinh\");return ENV.engine.runKernel(function(e){return e.sinh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cosh().mulStrict(e)}}})}function cosh_(e){var t=convertToTensor(e,\"x\",\"cosh\");return ENV.engine.runKernel(function(e){return e.cosh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sinh().mulStrict(e)}}})}function tanh_(e){var t=convertToTensor(e,\"x\",\"tanh\");return ENV.engine.runKernel(function(e,r){return r(e.tanh(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return scalar(1).sub(r.square()).mulStrict(e)}}})}function asinh_(e){var t=convertToTensor(e,\"x\",\"asinh\");return ENV.engine.runKernel(function(e){return e.asinh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()).sqrt())}}})}function acosh_(e){var t=convertToTensor(e,\"x\",\"acosh\");return ENV.engine.runKernel(function(e){return e.acosh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().square().sub(scalar(1)).sqrt())}}})}function atanh_(e){var t=convertToTensor(e,\"x\",\"atanh\");return ENV.engine.runKernel(function(e){return e.atanh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()))}}})}function erf_(e){var t=convertToTensor(e,\"x\",\"erf\");assert(\"int32\"===t.dtype||\"float32\"===t.dtype,\"Input dtype must be `int32` or `float32`.\"),\"int32\"===t.dtype&&(t=t.toFloat());return ENV.engine.runKernel(function(e){return e.erf(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(scalar(2/Math.sqrt(Math.PI)).mul(t.square().neg().exp()))}}})}function step_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"step\");return ENV.engine.runKernel(function(e){return e.step(r,t)},{$x:r},function(e){return{$x:function(){return zerosLike(e)}}})}ENV.get(\"IS_BROWSER\")&&ENV.registerBackend(\"webgl\",function(){return new MathBackendWebGL},2,setTensorTracker);var abs=op({abs_:abs_}),acos=op({acos_:acos_}),acosh=op({acosh_:acosh_}),asin=op({asin_:asin_}),asinh=op({asinh_:asinh_}),atan=op({atan_:atan_}),atanh=op({atanh_:atanh_}),ceil=op({ceil_:ceil_}),clipByValue=op({clipByValue_:clipByValue_}),cos=op({cos_:cos_}),cosh=op({cosh_:cosh_}),erf=op({erf_:erf_}),exp=op({exp_:exp_}),expm1=op({expm1_:expm1_}),floor=op({floor_:floor_}),log$1=op({log_:log_}),log1p=op({log1p_:log1p_}),logSigmoid=op({logSigmoid_:logSigmoid_}),neg=op({neg_:neg_}),reciprocal=op({reciprocal_:reciprocal_}),round=op({round_:round_}),rsqrt=op({rsqrt_:rsqrt_}),sigmoid=op({sigmoid_:sigmoid_}),sign=op({sign_:sign_}),sin=op({sin_:sin_}),sinh=op({sinh_:sinh_}),softplus=op({softplus_:softplus_}),sqrt=op({sqrt_:sqrt_}),square=op({square_:square_}),step=op({step_:step_}),tan=op({tan_:tan_}),tanh$1=op({tanh_:tanh_});function batchNormalization2d_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(r,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(2===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(2===l.rank||1===l.rank,\"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank \"+l.rank+\".\"),assert(2===c.rank||1===c.rank,\"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(2===i.rank||1===i.rank,\"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(2===s.rank||1===s.rank,\"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,n,i,s)}function batchNormalization3d_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(r,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(3===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(3===l.rank||1===l.rank,\"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank \"+l.rank+\".\"),assert(3===c.rank||1===c.rank,\"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(3===i.rank||1===i.rank,\"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(3===s.rank||1===s.rank,\"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,n,i,s)}function batchNormalization4d_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(r,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(4===u.rank,\"Error in batchNormalization4D: x must be rank 4 but got rank \"+u.rank+\".\"),assert(4===l.rank||1===l.rank,\"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank \"+l.rank+\".\"),assert(4===c.rank||1===c.rank,\"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(4===i.rank||1===i.rank,\"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(4===s.rank||1===s.rank,\"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,n,i,s)}function batchNormalization_(e,t,r,n,o,a){void 0===n&&(n=.001);var i,s,u,l=convertToTensor(e,\"x\",\"batchNormalization\"),c=convertToTensor(t,\"mean\",\"batchNormalization\"),p=convertToTensor(r,\"variance\",\"batchNormalization\");null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(c.rank===p.rank,\"Batch normalization gradient requires mean and variance to have equal ranks.\"),assert(null==s||c.rank===s.rank,\"Batch normalization gradient requires mean and offset to have equal ranks.\"),assert(null==i||c.rank===i.rank,\"Batch normalization gradient requires mean and scale to have equal ranks.\"),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l;return ENV.engine.runKernel(function(e){return e.batchNormalization(u,batchnormReshape4D(c),batchnormReshape4D(p),n,batchnormReshape4D(i),batchnormReshape4D(s))},{$x:l,$mean:c,$variance:p,$scale:i,$offset:s},function(e){var t=null==i?scalar(1):i,r=getReductionAxes(c.shape,u.shape),o=[];if(1===c.rank){for(var a=0;a<u.shape.length-1;++a)o.push(u.shape[a]);o.push(1)}var s=l.sub(c),d=e.mul(t),h=rsqrt(p.add(scalar(n))),f=h.mul(h).mul(h).mul(scalar(-.5));return{$x:function(){return 1===c.rank?e.mul(tile(h.as4D(1,1,1,c.shape[0]),o)).mul(t).reshape(l.shape):e.mul(h).mul(t).reshape(l.shape)},$mean:function(){var e=h.mul(scalar(-1)).mul(d);return 1===c.rank&&(e=e.sum(r)),e.reshape(c.shape)},$variance:function(){var e=f.mul(s).mul(d);return 1===c.rank&&(e=e.sum(r)),e.reshape(c.shape)},$scale:function(){var t=s.mul(h),n=e.mul(t);return 1===c.rank&&(n=n.sum(r)),n.reshape(c.shape)},$offset:function(){var t=e;return 1===c.rank&&(t=t.sum(r)),t.reshape(c.shape)}}}).reshape(l.shape)}function batchnormReshape4D(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}var batchNormalization2d=op({batchNormalization2d_:batchNormalization2d_}),batchNormalization3d=op({batchNormalization3d_:batchNormalization3d_}),batchNormalization4d=op({batchNormalization4d_:batchNormalization4d_}),batchNormalization=op({batchNormalization_:batchNormalization_});function computePool2DInfo(e,t,r,n,o,a,i){void 0===i&&(i=\"channelsLast\");var s,u=parseTupleParam(t),l=u[0],c=u[1];if(\"channelsLast\"===i)s=[l,c,e[3],e[3]];else{if(\"channelsFirst\"!==i)throw new Error(\"Unknown dataFormat \"+i);s=[l,c,e[1],e[1]]}return computeConv2DInfo(e,s,r,n,o,a,!1,i)}function computeConv2DInfo(e,t,r,n,o,a,i,s){void 0===i&&(i=!1),void 0===s&&(s=\"channelsLast\");var u=[-1,-1,-1,-1],l=u[0],c=u[1],p=u[2],d=u[3];if(\"channelsLast\"===s)l=e[0],c=e[1],p=e[2],d=e[3];else{if(\"channelsFirst\"!==s)throw new Error(\"Unknown dataFormat \"+s);l=e[0],d=e[1],c=e[2],p=e[3]}var h,f=t[0],m=t[1],g=t[3],v=parseTupleParam(r),y=v[0],x=v[1],T=parseTupleParam(n),E=T[0],w=T[1],S=getEffectiveFilterSize(f,E),b=getEffectiveFilterSize(m,w),C=getPadAndOutInfo(o,c,p,y,x,S,b,a),_=C.padInfo,A=C.outHeight,N=C.outWidth,R=i?g*d:g;return\"channelsFirst\"===s?h=[l,R,A,N]:\"channelsLast\"===s&&(h=[l,A,N,R]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:p,inChannels:d,outHeight:A,outWidth:N,outChannels:R,padInfo:_,strideHeight:y,strideWidth:x,filterHeight:f,filterWidth:m,effectiveFilterHeight:S,effectiveFilterWidth:b,dilationHeight:E,dilationWidth:w,inShape:e,outShape:h,filterShape:t}}function computeOutputShape3D(e,t,r,n,o,a){null==o&&(o=computeDefaultPad(e,t,n));var i=e[0],s=e[1],u=conditionalRound((i-t+2*o)/n+1,a);assert(isInt(u),\"The output # of rows (\"+u+\") must be an integer. Change the stride and/or zero pad parameters\");var l=conditionalRound((s-t+2*o)/n+1,a);return assert(isInt(l),\"The output # of columns (\"+l+\") must be an integer. Change the stride and/or zero pad parameters\"),[u,l,r]}function computeDefaultPad(e,t,r,n){void 0===n&&(n=1);var o=getEffectiveFilterSize(t,n);return Math.floor((e[0]*(r-1)-r+o)/2)}function parseTupleParam(e){return\"number\"==typeof e?[e,e]:e}function getEffectiveFilterSize(e,t){return t<=1?e:e+(e-1)*(t-1)}function getPadAndOutInfo(e,t,r,n,o,a,i,s){var u,l,c;if(\"number\"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?\"VALID\":\"NUMBER\"};var p=computeOutputShape3D([t,r,1],a,1,n,e,s);l=p[0],c=p[1]}else if(\"same\"===e){var d=((l=Math.ceil(t/n))-1)*n+a-t,h=((c=Math.ceil(r/o))-1)*o+i-r,f=Math.floor(d/2),m=d-f,g=Math.floor(h/2);u={top:f,bottom:m,left:g,right:h-g,type:\"SAME\"}}else{if(\"valid\"!==e)throw Error(\"Unknown padding parameter: \"+e);u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},l=Math.ceil((t-a+1)/n),c=Math.ceil((r-i+1)/o)}return{padInfo:u,outHeight:l,outWidth:c}}function conditionalRound(e,t){if(!t)return e;switch(t){case\"round\":return Math.round(e);case\"ceil\":return Math.ceil(e);case\"floor\":return Math.floor(e);default:throw new Error(\"Unknown roundingMode \"+t)}}function tupleValuesAreOne(e){var t=parseTupleParam(e),r=t[0],n=t[1];return 1===r&&1===n}function eitherStridesOrDilationsAreOne(e,t){return tupleValuesAreOne(e)||tupleValuesAreOne(t)}function matMul_(e,t,r,n){void 0===r&&(r=!1),void 0===n&&(n=!1);var o=convertToTensor(e,\"a\",\"matMul\"),a=convertToTensor(t,\"b\",\"matMul\"),i=r?o.shape[o.rank-2]:o.shape[o.rank-1],s=n?a.shape[a.rank-1]:a.shape[a.rank-2],u=r?o.shape[o.rank-1]:o.shape[o.rank-2],l=n?a.shape[a.rank-2]:a.shape[a.rank-1],c=o.shape.slice(0,-2),p=a.shape.slice(0,-2),d=sizeFromShape(c),h=sizeFromShape(p);assert(o.rank>=2&&a.rank>=2&&o.rank===a.rank,\"Error in matMul: inputs must have the same rank of at least 2, got ranks \"+o.rank+\" and \"+a.rank+\".\"),assert(arraysEqual(c,p),\"Error in matMul: outer dimensions (\"+c+\") and (\"+p+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" must match.\"),assert(i===s,\"Error in matMul: inner shapes (\"+i+\") and (\"+s+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" and transposeA=\"+r+\" and transposeB=\"+n+\" must match.\");var f=o.shape.slice(0,-2).concat([u,l]),m=r?o.as3D(d,i,u):o.as3D(d,u,i),g=n?a.as3D(h,l,s):a.as3D(h,s,l);return ENV.engine.runKernel(function(e){return e.batchMatMul(m,g,r,n)},{$a:m,$b:g},function(e){return r||n?!r&&n?{$a:function(){return e.matMul(g.toFloat(),!1,!1)},$b:function(){return e.matMul(m.toFloat(),!0,!1)}}:r&&!n?{$a:function(){return g.toFloat().matMul(e,!1,!0)},$b:function(){return m.toFloat().matMul(e,!1,!1)}}:{$a:function(){return g.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(m.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(g.toFloat(),!1,!0)},$b:function(){return m.toFloat().matMul(e,!0,!1)}}}).reshape(f)}function outerProduct_(e,t){var r=convertToTensor(e,\"v1\",\"outerProduct\"),n=convertToTensor(t,\"v2\",\"outerProduct\");return assert(1===r.rank&&1===n.rank,\"Error in outerProduct: inputs must be rank 1, but got ranks \"+r.rank+\" and \"+n.rank+\".\"),r.as2D(-1,1).matMul(n.as2D(1,-1))}function dot_(e,t){var r=convertToTensor(e,\"t1\",\"dot\"),n=convertToTensor(t,\"t2\",\"dot\");assert(!(1!==r.rank&&2!==r.rank||1!==n.rank&&2!==n.rank),\"Error in dot: inputs must all be rank 1 or 2, but got ranks \"+r.rank+\" and \"+n.rank+\".\");var o=1===r.rank?r.size:r.shape[1],a=1===n.rank?n.size:n.shape[0];return assert(o===a,\"Error in dot: inner dimensions of inputs must match, but got \"+o+\" and \"+a+\".\"),1===r.rank&&1===n.rank?r.as2D(1,-1).matMul(n.as2D(-1,1)).asScalar():1===r.rank&&2===n.rank?r.as2D(1,-1).matMul(n.as2D(n.shape[0],n.shape[1])).as1D():2===r.rank&&1===n.rank?r.matMul(n.as2D(-1,1)).as1D():r.matMul(n.as2D(n.shape[0],n.shape[1]))}var matMul=op({matMul_:matMul_}),dot=op({dot_:dot_}),outerProduct=op({outerProduct_:outerProduct_});function conv1d_(e,t,r,n,o,a,i){void 0===o&&(o=\"NWC\"),void 0===a&&(a=1);var s=convertToTensor(e,\"x\",\"conv1d\"),u=convertToTensor(t,\"filter\",\"conv1d\"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),assert(3===l.rank,\"Error in conv1d: input must be rank 3, but got rank \"+l.rank+\".\"),assert(3===u.rank,\"Error in conv1d: filter must be rank 3, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(n),\"Error in conv1d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+n+\".\"),assert(l.shape[2]===u.shape[1],\"Error in conv1d: depth of input (\"+l.shape[2]+\") must match input depth for filter \"+u.shape[1]+\".\"),assert(eitherStridesOrDilationsAreOne(r,a),\"Error in conv1D: Either stride or dilation must be 1. Got stride \"+r+\" and dilation '\"+a+\"'\"),assert(\"NWC\"===o,\"Error in conv1d: got dataFormat of \"+o+\" but only NWC is currently supported.\");var p=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),d=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=conv2d(d,p,[1,r],n,\"NHWC\",[1,a],i);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}function conv2d_(e,t,r,n,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"conv2d\"),u=convertToTensor(t,\"filter\",\"conv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in conv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in conv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(n),\"Error in conv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+n+\".\"),assert(l.shape[3]===u.shape[2],\"Error in conv2d: depth of input (\"+l.shape[3]+\") must match input depth for filter \"+u.shape[2]+\".\"),assert(eitherStridesOrDilationsAreOne(r,a),\"Error in conv2D: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+a+\"'\"),assert(\"NHWC\"===o,\"Error in conv2d: got dataFormat of \"+o+\" but only NHWC is currently supported.\");var p,d=computeConv2DInfo(l.shape,u.shape,r,a,n,i);if(1!==d.filterHeight||1!==d.filterWidth||1!==d.dilationHeight||1!==d.dilationWidth||1!==d.strideHeight||1!==d.strideWidth||\"SAME\"!==d.padInfo.type&&\"VALID\"!==d.padInfo.type){p=ENV.engine.runKernel(function(e){return e.conv2d(l,u,d)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '\"+a+\"'\"),{x:function(){return conv2dDerInput_(l.shape,e,u,r,n)},$filter:function(){return conv2dDerFilter_(l,e,u.shape,r,n)}}})}else{var h=l.reshape([-1,d.inChannels]),f=u.reshape([d.inChannels,d.outChannels]);p=matMul(h,f).reshape(d.outShape)}return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function conv2dDerInput_(e,t,r,n,o,a){assert(e.length===t.rank,\"Length of inShape (\"+e.length+\") and rank of dy (\"+t.rank+\") must match\");var i=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=[1,e[0],e[1],e[2]]);var l=i[3],c=s.shape[3];assert(4===i.length,\"Error in conv2dDerInput: inShape must be length 4, but got length \"+i.length+\".\"),assert(4===s.rank,\"Error in conv2dDerInput: dy must be rank 4, but got rank \"+s.rank),assert(4===r.rank,\"Error in conv2dDerInput: filter must be rank 4, but got rank \"+r.rank),assert(l===r.shape[2],\"Error in conv2dDerInput: depth of input (\"+l+\") must match input depth for filter \"+r.shape[2]+\".\"),assert(c===r.shape[3],\"Error in conv2dDerInput: depth of output (\"+c+\") must match output depth for filter \"+r.shape[3]+\".\"),null!=a&&assert(isInt(o),\"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var p=computeConv2DInfo(i,r.shape,n,1,o,a),d=ENV.engine.runKernel(function(e){return e.conv2dDerInput(s,r,p)},{dy4D:s,filter:r},function(e){return{dy4D:function(){return conv2d(e,r,n,o,\"NHWC\",1,a)},filter:function(){return conv2dDerFilter(e,s,r.shape,n,o,a)}}});return u?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function conv2dDerFilter_(e,t,r,n,o,a){var i=e;3===e.rank&&(i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in conv2dDerFilter: input must be rank 4, but got shape \"+i.shape+\".\"),assert(4===s.rank,\"Error in conv2dDerFilter: dy must be rank 4, but got shape \"+s.shape+\".\"),assert(4===r.length,\"Error in conv2dDerFilter: filterShape must be length 4, but got \"+r+\".\"),assert(i.shape[3]===r[2],\"Error in conv2dDerFilter: depth of input \"+i.shape[3]+\") must match input depth in filter (\"+r[2]+\".\"),assert(s.shape[3]===r[3],\"Error in conv2dDerFilter: depth of dy (\"+s.shape[3]+\") must match output depth for filter (\"+r[3]+\").\"),null!=a&&assert(isInt(o),\"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var u=computeConv2DInfo(i.shape,r,n,1,o,a);return ENV.engine.runKernel(function(e){return e.conv2dDerFilter(i,s,u)},{x4D:i,dy4D:s})}function conv2dTranspose_(e,t,r,n,o,a){return conv2dDerInput_(r,convertToTensor(e,\"x\",\"conv2dTranspose\"),convertToTensor(t,\"filter\",\"conv2dTranspose\"),n,o,a)}function depthwiseConv2d_(e,t,r,n,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"depthwiseConv2d\"),u=convertToTensor(t,\"filter\",\"depthwiseConv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in depthwiseConv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in depthwiseConv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),assert(l.shape[3]===u.shape[2],\"Error in depthwiseConv2d: number of input channels (\"+l.shape[3]+\") must match the inChannels dimension in filter \"+u.shape[2]+\".\"),null==a&&(a=[1,1]),assert(eitherStridesOrDilationsAreOne(r,a),\"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+a+\"'\"),null!=i&&assert(isInt(n),\"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+n+\".\");var p=computeConv2DInfo(l.shape,u.shape,r,a,n,i,!0),d=ENV.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,p)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '\"+a+\"'\"),{x:function(){return depthwiseConv2dDerInput(l.shape,e,u,p)},$filter:function(){return depthwiseConv2dDerFilter(l,e,u.shape,p)}}});return c?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function separableConv2d_(e,t,r,n,o,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i=\"NHWC\");var s=convertToTensor(e,\"x\",\"separableConv2d\"),u=convertToTensor(t,\"depthwiseFilter\",\"separableConv2d\"),l=convertToTensor(r,\"pointwiseFilter\",\"separableConv2d\"),c=s,p=!1;if(3===s.rank&&(p=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),\"NCHW\"===i)throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");assert(4===c.rank,\"Error in separableConv2d: input must be rank 4, but got rank \"+c.rank+\".\"),assert(4===u.rank,\"Error in separableConv2d: depthwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(4===l.rank,\"Error in separableConv2d: pointwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(1===l.shape[0],\"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got \"+l.shape[0]+\".\"),assert(1===l.shape[1],\"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got \"+l.shape[1]+\".\");var d=u.shape[2],h=u.shape[3];assert(l.shape[2]===d*h,\"Error in separableConv2d: the third dimension of pointwise filter must be \"+d*h+\", but got \"+l.shape[2]+\".\");var f=depthwiseConv2d(c,u,n,o,i,a),m=conv2d(f,l,1,\"valid\",i);return p?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}function depthwiseConv2dDerInput(e,t,r,n){var o=t,a=!1;3===t.rank&&(a=!0,o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var i=ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(o,r,n)},{dy4D:o});return a?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}function depthwiseConv2dDerFilter(e,t,r,n){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var a=t;return 3===a.rank&&(a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(o,a,n)},{x4D:o,dy4D:a})}var conv1d=op({conv1d_:conv1d_}),conv2d=op({conv2d_:conv2d_}),conv2dDerFilter=op({conv2dDerFilter_:conv2dDerFilter_}),depthwiseConv2d=op({depthwiseConv2d_:depthwiseConv2d_}),separableConv2d=op({separableConv2d_:separableConv2d_}),conv2dTranspose=op({conv2dTranspose_:conv2dTranspose_});function reverse1d_(e){var t=convertToTensor(e,\"x\",\"reverse\");return assert(1===t.rank,\"Error in reverse1D: x must be rank 1 but got\\n             rank \"+t.rank+\".\"),reverse(t,0)}function reverse2d_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");return assert(2===r.rank,\"Error in reverse2D: x must be rank 2 but got\\n             rank \"+r.rank+\".\"),reverse(r,t)}function reverse3d_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");return assert(3===r.rank,\"Error in reverse3D: x must be rank 3 but got\\n             rank \"+r.rank+\".\"),reverse(r,t)}function reverse4d_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");return assert(4===r.rank,\"Error in reverse4D: x must be rank 4 but got\\n             rank \"+r.rank+\".\"),reverse(r,t)}function reverse_(e,t){var r=convertToTensor(e,\"x\",\"reverse\");if(0===r.rank)return r.clone();var n=parseAxisParam(t,r.shape);return ENV.engine.runKernel(function(e){return e.reverse(r,n)},{$x:r},function(e){return{$x:function(){return e.reverse(n)}}}).reshapeAs(r)}var reverse=op({reverse_:reverse_}),reverse1d=op({reverse1d_:reverse1d_}),reverse2d=op({reverse2d_:reverse2d_}),reverse3d=op({reverse3d_:reverse3d_}),reverse4d=op({reverse4d_:reverse4d_});function maxPoolImpl_(e,t,r,n,o,a){var i=convertToTensor(e,\"x\",\"maxPool\"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),null==n&&(n=[1,1]),assert(4===s.rank,\"Error in maxPool: input must be rank 4 but got rank \"+s.rank+\".\"),assert(eitherStridesOrDilationsAreOne(r,n),\"Error in maxPool: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+n+\"'\"),null!=a&&assert(isInt(o),\"Error in maxPool: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var l=computePool2DInfo(s.shape,t,r,n,o,a),c=ENV.engine.runKernel(function(e,t){return t(e.maxPool(s,l))},{x:s},function(e,a){var i=a[0];return{x:function(){return maxPoolBackprop(e,s,i,t,r,n,o)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function maxPool_(e,t,r,n,o){return maxPoolImpl_(e,t,r,1,n,o)}function avgPoolImpl_(e,t,r,n,o,a){var i=convertToTensor(e,\"x\",\"avgPool\");assert(\"float32\"===i.dtype,\"The input dtype to avgPool must be float32\"),null==n&&(n=[1,1]),assert(eitherStridesOrDilationsAreOne(r,n),\"Error in avgPool: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+n+\"'\");var s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),assert(4===s.rank,\"Error in avgPool: x must be rank 4 but got rank \"+s.rank+\".\"),null!=a&&assert(isInt(o),\"Error in avgPool: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var l=computePool2DInfo(s.shape,t,r,n,o),c=ENV.engine.runKernel(function(e){return e.avgPool(s,l)},{x:s},function(e){return{x:function(){return avgPoolBackprop(e,s,t,r,n,o)}}});return c=c.cast(i.dtype),u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c}function avgPool_(e,t,r,n,o){return avgPoolImpl_(e,t,r,1,n,o)}function pool_(e,t,r,n,o,a){null==o&&(o=[1,1]),null==a&&(a=1),0===n&&(n=\"valid\");var i=convertToTensor(e,\"x\",\"maxPool\"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),assert(eitherStridesOrDilationsAreOne(a,o),\"Error in pool: Either strides or dilations must be 1. Got strides \"+a+\" and dilations '\"+o+\"'\");var l,c=computePool2DInfo(s.shape,t,a,o,n),p=[c.dilationHeight,c.dilationWidth];l=\"same\"===n?withSpaceToBatchBasePaddings([c.filterHeight,c.filterWidth],p):[[0,0],[0,0]];var d=1===p[0]&&1===p[1],h=requiredSpaceToBatchPaddings([c.inHeight,c.inWidth],p,l),f=h[0],m=h[1],g=d?n:\"valid\",v=d?s:spaceToBatchND(s,p,f),y=(\"avg\"===r?function(){return avgPoolImpl_(v,t,a,1,g)}:function(){return maxPoolImpl_(v,t,a,1,g)})(),x=d?y:batchToSpaceND(y,p,m);return u?x.as3D(x.shape[1],x.shape[2],x.shape[3]):x}function maxPoolBackprop(e,t,r,n,o,a,i,s){var u=convertToTensor(e,\"dy\",\"maxPoolBackprop\"),l=convertToTensor(t,\"input\",\"maxPoolBackprop\"),c=convertToTensor(r,\"output\",\"maxPoolBackprop\");assert(l.rank===u.rank,\"Rank of input (\"+l.rank+\") does not match rank of dy (\"+u.rank+\")\"),null==a&&(a=[1,1]),assert(eitherStridesOrDilationsAreOne(o,a),\"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides \"+o+\" and dilations '\"+a+\"'\"),assert(4===u.rank,\"Error in maxPoolBackprop: dy must be rank 4 but got rank \"+u.rank+\".\"),assert(4===l.rank,\"Error in maxPoolBackprop: input must be rank 4 but got rank \"+l.rank+\".\"),null!=s&&assert(isInt(i),\"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode \"+s+\" but got pad \"+i+\".\");var p=computePool2DInfo(l.shape,n,o,a,i,s);return ENV.engine.runKernel(function(e){return e.maxPoolBackprop(u,l,c,p)},{$dy:u,$input:l})}function avgPoolBackprop(e,t,r,n,o,a){var i=convertToTensor(e,\"dy\",\"avgPoolBackprop\"),s=convertToTensor(t,\"input\",\"avgPoolBackprop\");assert(s.rank===i.rank,\"Rank of input (\"+s.rank+\") does not match rank of dy (\"+i.rank+\")\"),null==o&&(o=[1,1]),assert(eitherStridesOrDilationsAreOne(n,o),\"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+o+\"'\");var u=s,l=i,c=!1;3===s.rank&&(c=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),l=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),assert(4===l.rank,\"Error in avgPoolBackprop: dy must be rank 4 but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in avgPoolBackprop: input must be rank 4 but got rank \"+u.rank+\".\");var p=computePool2DInfo(u.shape,r,n,o,a),d=ENV.engine.runKernel(function(e){return e.avgPoolBackprop(l,u,p)},{dy4D:l,input4D:u});return c?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function requiredSpaceToBatchPaddings(e,t,r){var n=r.map(function(e){return e[0]}),o=r.map(function(e){return e[1]}),a=e.concat(n,o),i=t.map(function(e,t){return(e-a[t]%e)%e}),s=o.map(function(e,t){return e+i[t]});return[t.map(function(e,t){return[n[t],s[t]]}),t.map(function(e,t){return[0,i[t]]})]}function withSpaceToBatchBasePaddings(e,t){var r=e.map(function(e,r){return e+(e-1)*(t[r]-1)}).map(function(e){return e-1}),n=r.map(function(e){return Math.floor(e/2)}),o=r.map(function(e,t){return e-n[t]});return r.map(function(e,t){return[n[t],o[t]]})}var maxPool=op({maxPool_:maxPool_}),avgPool=op({avgPool_:avgPool_}),pool=op({pool_:pool_});function slice1d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice1d\");return assert(1===n.rank,\"slice1d expects a rank-1 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,[t],[r])}function slice2d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice2d\");return assert(2===n.rank,\"slice2d expects a rank-2 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,t,r)}function slice3d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice3d\");return assert(3===n.rank,\"slice3d expects a rank-3 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,t,r)}function slice4d_(e,t,r){var n=convertToTensor(e,\"x\",\"slice4d\");return assert(4===n.rank,\"slice4d expects a rank-4 tensor, but got a rank-\"+n.rank+\" tensor\"),slice(n,t,r)}function slice_(e,t,r){var n,o,a=convertToTensor(e,\"x\",\"slice\");if(0===a.rank)throw new Error(\"Slicing scalar is not possible\");n=\"number\"==typeof t?[t].concat(new Array(a.rank-1).fill(0)):t.length<a.rank?t.concat(new Array(a.rank-t.length).fill(0)):t.slice(),o=(o=null==r?new Array(a.rank).fill(-1):\"number\"==typeof r?[r].concat(new Array(a.rank-1).fill(-1)):r.length<a.rank?r.concat(new Array(a.rank-r.length).fill(-1)):r).map(function(e,t){return e>=0?e:(assert(-1===e,\"Bad value in size\"),a.shape[t]-n[t])}),assertParamsValid(a,n,o);var i=a.shape;return ENV.engine.runKernel(function(e){return e.slice(a,n,o)},{$x:a},function(e){for(var t=[],r=0;r<e.rank;r++)t.push([n[r],i[r]-n[r]-o[r]]);return{$x:function(){return e.pad(t)}}})}var slice=op({slice_:slice_}),slice1d=op({slice1d_:slice1d_}),slice2d=op({slice2d_:slice2d_}),slice3d=op({slice3d_:slice3d_}),slice4d=op({slice4d_:slice4d_});function logSumExp_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"logSumExp\"),o=parseAxisParam(t,n.shape),a=n.max(o,!0),i=n.sub(a).exp().sum(o).log(),s=a.reshape(i.shape).add(i);if(r){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function sum_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"sum\");\"bool\"===n.dtype&&(n=n.toInt());var o=parseAxisParam(t,n.shape);return customGrad(function(e){var t=getAxesPermutation(o,e.rank),n=o,a=e;null!=t&&(a=e.transpose(t),n=getInnerMostAxes(n.length,e.rank));var i=ENV.engine.runKernel(function(e){return e.sum(a,n)},{permutedX:a});if(r){var s=expandShapeToKeepDim(i.shape,o);i=i.reshape(s)}return{value:i,gradFunc:function(t){var r=e.shape.slice();return o.forEach(function(e){r[e]=1}),t.reshape(r).mul(ones$1(e.shape,\"float32\"))}}})(n)}function prod_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"prod\");\"bool\"===n.dtype&&(n=n.toInt());var o=parseAxisParam(t,n.shape),a=getAxesPermutation(o,n.rank),i=o,s=n;null!=a&&(s=n.transpose(a),i=getInnerMostAxes(i.length,n.rank));var u=ENV.engine.runKernel(function(e){return e.prod(s,i)},{permutedX:s});if(r){var l=expandShapeToKeepDim(u.shape,o);u=u.reshape(l)}return u}function mean_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"mean\"),o=parseAxisParam(t,n.shape),a=sizeFromShape(computeOutAndReduceShapes(n.shape,o)[1]);return customGrad(function(e){var n=scalar(a);return{value:(n.dtype===e.dtype?e:e.cast(n.dtype)).div(n).sum(t,r),gradFunc:function(t){var r=e.shape.slice();return o.forEach(function(e){r[e]=1}),t.reshape(r).mul(ones$1(e.shape,\"float32\")).div(n)}}})(n)}function gradForMinAndMax(e,t,r,n,o){var a=t[0];return a.rank<r.rank&&(a=a.reshape(expandShapeToKeepDim(a.shape,n))),e.rank<r.rank&&(e=e.reshape(expandShapeToKeepDim(e.shape,n))),{$x:function(){var t=e.mul(r.equal(a).cast(e.dtype));return null==o?t:t.transpose(o)}}}function min_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"min\"),o=n,a=parseAxisParam(t,n.shape),i=a,s=getAxesPermutation(i,n.rank);null!=s&&(n=n.transpose(s),i=getInnerMostAxes(i.length,n.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.min(n,i))},{$x:n},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(r){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function max_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"max\"),o=n,a=parseAxisParam(t,n.shape),i=a,s=getAxesPermutation(i,n.rank);null!=s&&(n=n.transpose(s),i=getInnerMostAxes(i.length,n.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.max(n,i))},{$x:n},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(r){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function argMin_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"argMin\");null==t&&(t=0);var n=parseAxisParam(t,r.shape),o=getAxesPermutation(n,r.rank);null!=o&&(r=r.transpose(o),n=getInnerMostAxes(n.length,r.rank));return ENV.engine.runKernel(function(e){return e.argMin(r,n[0])},{$x:r},function(e){return{$x:function(){return zerosLike(r)}}})}function argMax_(e,t){void 0===t&&(t=0);var r=convertToTensor(e,\"x\",\"argMax\");null==t&&(t=0);var n=parseAxisParam(t,r.shape),o=getAxesPermutation(n,r.rank);null!=o&&(r=r.transpose(o),n=getInnerMostAxes(n.length,r.rank));return ENV.engine.runKernel(function(e){return e.argMax(r,n[0])},{$x:r},function(e){return{$x:function(){return zerosLike(r)}}})}function all_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"all\",\"bool\");assert(\"bool\"===n.dtype,\"Error Tensor must be of type bool. Got: \"+n.dtype);var o=parseAxisParam(t,n.shape),a=o,i=getAxesPermutation(a,n.rank);null!=i&&(n=n.transpose(i),a=getInnerMostAxes(a.length,n.rank));var s=ENV.engine.runKernel(function(e){return e.all(n,a)},{$x:n});if(r){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function any_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=convertToTensor(e,\"x\",\"any\",\"bool\");assert(\"bool\"===n.dtype,\"Error Tensor must be of type bool. Got: \"+n.dtype);var o=parseAxisParam(t,n.shape),a=o,i=getAxesPermutation(a,n.rank);null!=i&&(n=n.transpose(i),a=getInnerMostAxes(a.length,n.rank));var s=ENV.engine.runKernel(function(e){return e.any(n,a)},{$x:n});if(r){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function moments_(e,t,r){void 0===t&&(t=null),void 0===r&&(r=!1);var n=parseAxisParam(t,(e=convertToTensor(e,\"x\",\"moments\")).shape),o=e.mean(n,r),a=o.shape;return r||(a=expandShapeToKeepDim(o.shape,n)),{mean:o,variance:e.toFloat().sub(o.reshape(a)).square().mean(n,r)}}var all=op({all_:all_}),any=op({any_:any_}),argMax=op({argMax_:argMax_}),argMin=op({argMin_:argMin_}),logSumExp=op({logSumExp_:logSumExp_}),max=op({max_:max_}),mean=op({mean_:mean_}),min=op({min_:min_}),moments=op({moments_:moments_}),sum$1=op({sum_:sum_}),prod=op({prod_:prod_});function notEqual_(e,t){var r=convertToTensor(e,\"a\",\"notEqual\"),n=convertToTensor(t,\"b\",\"notEqual\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.notEqual(r,n)},{$a:r,$b:n})}function notEqualStrict_(e,t){var r=convertToTensor(e,\"a\",\"notEqualStrict\"),n=convertToTensor(t,\"b\",\"notEqualStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in notEqualStrict: \"),r.notEqual(n)}function less_(e,t){var r=convertToTensor(e,\"a\",\"less\"),n=convertToTensor(t,\"b\",\"less\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.less(r,n)},{$a:r,$b:n})}function lessStrict_(e,t){var r=convertToTensor(e,\"a\",\"lessStrict\"),n=convertToTensor(t,\"b\",\"lessStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in lessStrict: \"),r.less(n)}function equal_(e,t){var r=convertToTensor(e,\"a\",\"equal\"),n=convertToTensor(t,\"b\",\"equal\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.equal(r,n)},{$a:r,$b:n})}function equalStrict_(e,t){var r=convertToTensor(e,\"a\",\"equalStrict\"),n=convertToTensor(t,\"b\",\"equalStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in equalStrict: \"),r.equal(n)}function lessEqual_(e,t){var r=convertToTensor(e,\"a\",\"lessEqual\"),n=convertToTensor(t,\"b\",\"lessEqual\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.lessEqual(r,n)},{$a:r,$b:n})}function lessEqualStrict_(e,t){var r=convertToTensor(e,\"a\",\"lessEqualStrict\"),n=convertToTensor(t,\"b\",\"lessEqualStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in lessEqualStrict: \"),r.lessEqual(n)}function greater_(e,t){var r=convertToTensor(e,\"a\",\"greater\"),n=convertToTensor(t,\"b\",\"greater\");return assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.greater(r,n)},{$a:r,$b:n})}function greaterStrict_(e,t){var r=convertToTensor(e,\"a\",\"greaterStrict\"),n=convertToTensor(t,\"b\",\"greaterStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in greaterStrict: \"),r.greater(n)}function greaterEqual_(e,t){var r=convertToTensor(e,\"a\",\"greaterEqual\"),n=convertToTensor(t,\"b\",\"greaterEqual\");assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.greaterEqual(r,n)},{$a:r,$b:n},function(e){return{$a:function(){return zerosLike(r)},$b:function(){return zerosLike(n)}}})}function greaterEqualStrict_(e,t){var r=convertToTensor(e,\"a\",\"greaterEqualStrict\"),n=convertToTensor(t,\"b\",\"greaterEqualStrict\");return assertShapesMatch(r.shape,n.shape,\"Error in greaterEqualStrict: \"),r.greaterEqual(n)}var equal=op({equal_:equal_}),equalStrict=op({equalStrict_:equalStrict_}),greater=op({greater_:greater_}),greaterEqual=op({greaterEqual_:greaterEqual_}),greaterEqualStrict=op({greaterEqualStrict_:greaterEqualStrict_}),greaterStrict=op({greaterStrict_:greaterStrict_}),less=op({less_:less_}),lessEqual=op({lessEqual_:lessEqual_}),lessEqualStrict=op({lessEqualStrict_:lessEqualStrict_}),lessStrict=op({lessStrict_:lessStrict_}),notEqual=op({notEqual_:notEqual_}),notEqualStrict=op({notEqualStrict_:notEqualStrict_});function add_(e,t){var r=convertToTensor(e,\"a\",\"add\"),n=convertToTensor(t,\"b\",\"add\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.add(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.reshape(r.shape)},$b:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.reshape(n.shape)}}})}function addN_(e){assert(Array.isArray(e),function(){return\"The argument passed to tf.addN() must be a list of tensors\"}),assert(e.length>=1,function(){return\"Must pass at least one tensor to tf.addN(), but got \"+e.length});var t=e.map(function(e,t){return convertToTensor(e,\"tensors\"+t,\"addN\")}),r=t[0];t.forEach(function(e){if(e.dtype!==r.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(function(e){if(!arraysEqual(e.shape,r.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});var n=t;return ENV.engine.runKernel(function(e){return e.addN(t)},n,function(e){var r={};return t.forEach(function(t,n){r[n]=function(){return e.clone()}}),r})}function addStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in addStrict: \"),e.add(t)}function sub_(e,t){var r=convertToTensor(e,\"a\",\"sub\"),n=convertToTensor(t,\"b\",\"sub\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.subtract(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.reshape(r.shape)},$b:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.neg().reshape(n.shape)}}})}function subStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in subStrict: \"),e.sub(t)}function pow_(e,t){var r=convertToTensor(e,\"base\",\"pow\"),n=convertToTensor(t,\"exp\",\"pow\"),o=assertAndGetBroadcastShape(r.shape,n.shape);e=r.cast(upcastType(r.dtype,n.dtype)),t=n.cast(upcastType(r.dtype,n.dtype));return ENV.engine.runKernel(function(e,t){return t(e.pow(r,n))},{$base:r,$exp:n},function(e,t){var a=t[0];return{$base:function(){var t=n.toFloat(),a=e.mul(t.mul(r.pow(t.sub(scalar(1))))),i=getReductionAxes(r.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(r.shape)},$exp:function(){var t=e.mul(a.mul(r.log()).toFloat()),i=getReductionAxes(n.shape,o);return i.length>0&&(t=t.sum(i)),t.reshape(n.shape)}}})}function powStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in powStrict: \"),e.pow(t)}function mul_(e,t){var r=convertToTensor(e,\"a\",\"mul\"),n=convertToTensor(t,\"b\",\"mul\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.multiply(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e.mul(n.toFloat()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t},$b:function(){var t=e.mul(r.toFloat()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t}}})}function mulStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in multiplyStrict: \"),e.mul(t)}function div_(e,t){var r,n=convertToTensor(e,\"a\",\"div\"),o=convertToTensor(t,\"b\",\"div\");if(assertTypesMatch(n,o),\"int32\"===n.dtype&&\"int32\"===o.dtype)return floorDiv(n,o);r=function(e){return e.realDivide(n,o)};var a=assertAndGetBroadcastShape(n.shape,o.shape);return ENV.engine.runKernel(r,{$a:n,$b:o},function(e){return{$a:function(){var t=e.div(o.toFloat()),r=getReductionAxes(n.shape,a);return r.length>0?t.sum(r).reshape(n.shape):t},$b:function(){var t=e.mul(n.toFloat()),r=getReductionAxes(o.shape,a);r.length>0&&(t=t.sum(r).reshape(o.shape));var i=o.square();return t.div(i.toFloat()).neg()}}})}function floorDiv_(e,t){var r=convertToTensor(e,\"a\",\"floorDiv\"),n=convertToTensor(t,\"b\",\"floorDiv\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.floorDiv(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=e.div(n.toFloat()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t},$b:function(){var t=e.mul(r.toFloat()),a=getReductionAxes(n.shape,o);a.length>0&&(t=t.sum(a).reshape(n.shape));var i=n.square();return t.div(i.toFloat()).neg()}}})}function divStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in divideStrict: \"),e.div(t)}function mod_(e,t){var r=convertToTensor(e,\"a\",\"mod\"),n=convertToTensor(t,\"b\",\"mod\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.mod(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=getReductionAxes(r.shape,o);return t.length>0?e.sum(t).reshape(r.shape):e},$b:function(){var t=e.mul(r.div(n).floor().neg()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t}}})}function modStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in modStrict: \"),e.mod(t)}function minimum_(e,t){var r=convertToTensor(e,\"a\",\"minimum\"),n=convertToTensor(t,\"b\",\"minimum\");assertTypesMatch(r,n),\"bool\"===r.dtype&&(r=r.toInt()),\"bool\"===n.dtype&&(n=n.toInt()),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.minimum(r,n)},{$a:r,$b:n},function(e){return{$a:function(){return e.mul(r.lessEqual(n).toFloat())},$b:function(){return e.mul(r.greater(n).toFloat())}}})}function minimumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in minimumStrict: \"),e.minimum(t)}function maximum_(e,t){var r=convertToTensor(e,\"a\",\"maximum\"),n=convertToTensor(t,\"b\",\"maximum\");assertTypesMatch(r,n),\"bool\"===r.dtype&&(r=r.toInt()),\"bool\"===n.dtype&&(n=n.toInt()),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.maximum(r,n)},{$a:r,$b:n},function(e){return{$a:function(){return e.mul(r.greaterEqual(n).toFloat())},$b:function(){return e.mul(r.less(n).toFloat())}}})}function maximumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in maximumStrict: \"),e.maximum(t)}function squaredDifference_(e,t){var r=convertToTensor(e,\"a\",\"squaredDifference\"),n=convertToTensor(t,\"b\",\"squaredDifference\");assertTypesMatch(r,n),assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.squaredDifference(r,n)},{$a:r,$b:n},function(e){var t=scalar(2);return{$a:function(){return e.mul(r.sub(n).mul(t))},$b:function(){return e.mul(n.sub(r).mul(t))}}})}function squaredDifferenceStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in squaredDifferenceStrict: \"),e.squaredDifference(t)}function atan2_(e,t){var r=convertToTensor(e,\"a\",\"atan2\"),n=convertToTensor(t,\"b\",\"atan2\");assertTypesMatch(r,n);var o=assertAndGetBroadcastShape(r.shape,n.shape);return ENV.engine.runKernel(function(e){return e.atan2(r,n)},{$a:r,$b:n},function(e){return{$a:function(){var t=add(r.square(),n.square()),a=e.mul(n.div(t)),i=getReductionAxes(r.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(r.shape)},$b:function(){var t=add(r.square(),n.square()),a=neg(e.mul(r.div(t))),i=getReductionAxes(n.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(n.shape)}}})}var add=op({add_:add_}),addN=op({addN_:addN_}),addStrict=op({addStrict_:addStrict_}),atan2=op({atan2_:atan2_}),div=op({div_:div_}),divStrict=op({divStrict_:divStrict_}),floorDiv=op({floorDiv_:floorDiv_}),maximum=op({maximum_:maximum_}),maximumStrict=op({maximumStrict_:maximumStrict_}),minimum=op({minimum_:minimum_}),minimumStrict=op({minimumStrict_:minimumStrict_}),mod=op({mod_:mod_}),modStrict=op({modStrict_:modStrict_}),mul=op({mul_:mul_}),mulStrict=op({mulStrict_:mulStrict_}),pow=op({pow_:pow_}),powStrict=op({powStrict_:powStrict_}),squaredDifference=op({squaredDifference_:squaredDifference_}),squaredDifferenceStrict=op({squaredDifferenceStrict_:squaredDifferenceStrict_}),sub=op({sub_:sub_}),subStrict=op({subStrict_:subStrict_});function logicalNot_(e){var t=convertToTensor(e,\"x\",\"logicalNot\",\"bool\");return assert(\"bool\"===t.dtype,\"Error Array must be of type bool.\"),ENV.engine.runKernel(function(e){return e.logicalNot(t)},{$x:t})}function logicalAnd_(e,t){var r=convertToTensor(e,\"a\",\"logicalAnd\",\"bool\"),n=convertToTensor(t,\"b\",\"logicalAnd\",\"bool\");return assert(\"bool\"===r.dtype&&\"bool\"===n.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.logicalAnd(r,n)},{$a:r,$b:n})}function logicalOr_(e,t){var r=convertToTensor(e,\"a\",\"logicalOr\",\"bool\"),n=convertToTensor(t,\"b\",\"logicalOr\",\"bool\");return assert(\"bool\"===r.dtype&&\"bool\"===n.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(r.shape,n.shape),ENV.engine.runKernel(function(e){return e.logicalOr(r,n)},{$a:r,$b:n})}function logicalXor_(e,t){var r=convertToTensor(e,\"a\",\"logicalXor\",\"bool\"),n=convertToTensor(t,\"b\",\"logicalXor\",\"bool\");return assert(\"bool\"===r.dtype&&\"bool\"===n.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(r.shape,n.shape),logicalOr(e,t).logicalAnd(logicalAnd(e,t).logicalNot())}function where_(e,t,r){var n=convertToTensor(t,\"a\",\"where\"),o=convertToTensor(r,\"b\",\"where\"),a=convertToTensor(e,\"condition\",\"where\",\"bool\");assert(\"bool\"===a.dtype,\"Error Condition must be of type bool.\"),assertShapesMatch(n.shape,o.shape,\"Error in where: \"),1===a.rank?assert(a.shape[0]===n.shape[0],\"The first dimension of `a` must match the size of `condition`.\"):assertShapesMatch(a.shape,o.shape,\"Error in where: \");return ENV.engine.runKernel(function(e){return e.select(a,n,o)},{$condition:a,$a:n,$b:o},function(e){return{$condition:function(){return zerosLike(a)},$a:function(){return e.mul(a.cast(n.dtype))},$b:function(){return e.mul(a.logicalNot().cast(o.dtype))}}})}function whereAsync_(e){return __awaiter(this,void 0,void 0,function(){var t,r,n;return __generator(this,function(o){switch(o.label){case 0:return assert(\"bool\"===(t=convertToTensor(e,\"condition\",\"where\",\"bool\")).dtype,\"Condition must be of type bool.\"),[4,t.data()];case 1:return r=o.sent(),n=whereImpl(t.shape,r),e!==t&&t.dispose(),[2,n]}})})}var logicalAnd=op({logicalAnd_:logicalAnd_}),logicalNot=op({logicalNot_:logicalNot_}),logicalOr=op({logicalOr_:logicalOr_}),logicalXor=op({logicalXor_:logicalXor_}),where=op({where_:where_}),whereAsync=whereAsync_;function relu_(e){var t=convertToTensor(e,\"x\",\"relu\");if(\"bool\"===t.dtype)return t.toInt();return ENV.engine.runKernel(function(e){return e.relu(t)},{$x:t},function(e){var r=t.step();return{$x:function(){return e.mulStrict(r.toFloat())}}})}function elu_(e){var t=convertToTensor(e,\"x\",\"elu\");return ENV.engine.runKernel(function(e,r){return r(e.elu(t))},{$x:t},function(e,t){var r=t[0];return{$x:function(){return ENV.engine.runKernel(function(t){return t.eluDer(e,r)},{dy:e,y:r})}}})}function selu_(e){var t=convertToTensor(e,\"x\",\"selu\");return ENV.engine.runKernel(function(e){return e.selu(t)},{$x:t},function(e){return{$x:function(){var r=t.greater(scalar(0)),n=scalar(SELU_SCALEALPHA),o=scalar(SELU_SCALE),a=e.mul(o),i=e.mul(n).mul(t.toFloat().exp());return where(r,a,i)}}})}function leakyRelu_(e,t){void 0===t&&(t=.2);var r=convertToTensor(e,\"x\",\"leakyRelu\");return maximum(scalar(t).mul(r),r)}function prelu_(e,t){var r=convertToTensor(e,\"x\",\"prelu\"),n=convertToTensor(t,\"alpha\",\"prelu\"),o=scalar(0);return maximum(o,r).add(n.mul(minimum(o,r)))}var elu=op({elu_:elu_}),leakyRelu=op({leakyRelu_:leakyRelu_}),prelu=op({prelu_:prelu_}),relu=op({relu_:relu_}),selu=op({selu_:selu_});function transpose_(e,t){var r=convertToTensor(e,\"x\",\"transpose\");if(null==t&&(t=r.shape.map(function(e,t){return t}).reverse()),assert(r.rank===t.length,\"Error in transpose: rank of input \"+r.rank+\" must match length of perm \"+t+\".\"),t.forEach(function(e){assert(e>=0&&e<r.rank,\"All entries in 'perm' must be between 0 and \"+(r.rank-1)+\" but got \"+t)}),r.rank<=1)return r.clone();return ENV.engine.runKernel(function(e){return e.transpose(r,t)},{$x:r},function(e){var r=getUndoAxesPermutation(t);return{$x:function(){return e.transpose(r)}}})}var transpose=op({transpose_:transpose_});function localResponseNormalization_(e,t,r,n,o){void 0===t&&(t=5),void 0===r&&(r=1),void 0===n&&(n=1),void 0===o&&(o=.5);var a=convertToTensor(e,\"x\",\"localResponseNormalization\");assert(4===a.rank||3===a.rank,\"Error in localResponseNormalization: x must be rank 3 or 4 but got\\n               rank \"+a.rank+\".\"),assert(isInt(t),\"Error in localResponseNormalization: depthRadius must be an integer\\n                     but got depthRadius \"+t+\".\");var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=ENV.engine.runKernel(function(e,a){return a(e.localResponseNormalization4D(i,t,r,n,o))},{x4D:i},function(e,a){var s=a[0];return{x4D:function(){return ENV.engine.runKernel(function(a){return a.LRNGrad(e,i,s,t,r,n,o)},{})}}});return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}var localResponseNormalization=op({localResponseNormalization_:localResponseNormalization_});function norm_(e,t,r,n){void 0===t&&(t=\"euclidean\"),void 0===r&&(r=null),void 0===n&&(n=!1);var o=normImpl(e=convertToTensor(e,\"x\",\"norm\"),t,r),a=o.shape;if(n){var i=parseAxisParam(r,e.shape);a=expandShapeToKeepDim(o.shape,i)}return o.reshape(a)}function normImpl(e,t,r){if(void 0===r&&(r=null),0===e.rank)return e.abs();if(1!==e.rank&&null===r)return normImpl(e.reshape([-1]),t,r);if(1===e.rank||\"number\"==typeof r||r instanceof Array&&1===r.length){if(1===t)return e.abs().sum(r);if(t===1/0)return e.abs().max(r);if(t===-1/0)return e.abs().min(r);if(\"euclidean\"===t||2===t)return e.abs().pow(scalar(2,\"int32\")).sum(r).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}if(r instanceof Array&&2===r.length){if(1===t)return e.abs().sum(r[0]).max(r[1]-1);if(t===1/0)return e.abs().sum(r[1]).max(r[0]);if(t===-1/0)return e.abs().sum(r[1]).min(r[0]);if(\"fro\"===t||\"euclidean\"===t)return e.square().sum(r).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}throw new Error(\"Error in norm: invalid axis: \"+r)}var norm=op({norm_:norm_});function unsortedSegmentSum_(e,t,r){var n=convertToTensor(e,\"x\",\"unsortedSegmentSum\"),o=convertToTensor(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");assert(\"int32\"===o.dtype,\"segmentIds must be of dtype `int32`\"),assert(isInt(r),\"numSegments must be of dtype int\");return ENV.engine.runKernel(function(e){return e.unsortedSegmentSum(n,o,r)},{$x:n},function(e){return{$x:function(){return gatherDropNegatives(e,o)}}})}function gather_(e,t,r){void 0===r&&(r=0);var n=convertToTensor(e,\"x\",\"gather\"),o=convertToTensor(t,\"indices\",\"gather\",\"int32\");assert(\"int32\"===o.dtype,\"Indices must be of dtype `int32`\"),r=parseAxisParam(r,n.shape)[0];return ENV.engine.runKernel(function(e){return e.gather(n,o,r)},{$x:n},function(e){return{$x:function(){if(0===r)return unsortedSegmentSum(e,o,n.shape[r]);var t=n.shape,a=o.size,i=t.slice(0,r),s=i.length,u=t.slice(r,t.length).slice(1),l=u.length,c=arrayRange(0,s),p=arrayRange(s+1,s+1+l),d=arrayConcat([i,[a],u]),h=e.reshape(d),f=o.reshape([a]),m=arrayConcat([[s],c,p]),g=h.transpose(m),v=unsortedSegmentSum(g,f,n.shape[r]),y=getUndoAxesPermutation(m);return v=v.transpose(y)}}})}function arrayRange(e,t){for(var r=[],n=e;n<t;++n)r.push(n);return r}function arrayConcat(e){for(var t=[],r=0;r<e.length;++r)for(var n=0;n<e[r].length;++n)t.push(e[r][n]);return t}function gatherDropNegatives(e,t){for(var r=maximum(t,zerosLike(t)),n=gather(e,r),o=greaterEqual(t,scalar(0,\"int32\")),a=n.rank-o.rank,i=0;i<a;++i)o=expandDims(o,i+1);o=logicalAnd(o,ones$1(n.shape,\"bool\"));var s=zerosLike(n);return where(o,n,s)}var gather=op({gather_:gather_}),unsortedSegmentSum=op({unsortedSegmentSum_:unsortedSegmentSum_});function multiRNNCell_(e,t,r,n){for(var o=convertToTensor(t,\"data\",\"multiRNNCell\"),a=convertToTensorArray(r,\"c\",\"multiRNNCell\"),i=convertToTensorArray(n,\"h\",\"multiRNNCell\"),s=o,u=[],l=0;l<e.length;l++){var c=e[l](s,a[l],i[l]);u.push(c[0]),u.push(c[1]),s=c[1]}var p=[],d=[];for(l=0;l<u.length;l+=2)p.push(u[l]),d.push(u[l+1]);return[p,d]}function basicLSTMCell_(e,t,r,n,o,a){var i=convertToTensor(e,\"forgetBias\",\"basicLSTMCell\"),s=convertToTensor(t,\"lstmKernel\",\"basicLSTMCell\"),u=convertToTensor(r,\"lstmBias\",\"basicLSTMCell\"),l=convertToTensor(n,\"data\",\"basicLSTMCell\"),c=convertToTensor(o,\"c\",\"basicLSTMCell\"),p=convertToTensor(a,\"h\",\"basicLSTMCell\"),d=l.concat(p,1).matMul(s).add(u),h=d.shape[0],f=d.shape[1]/4,m=[h,f],g=d.slice([0,0],m),v=d.slice([0,f],m),y=d.slice([0,2*f],m),x=d.slice([0,3*f],m),T=g.sigmoid().mulStrict(v.tanh()).addStrict(c.mulStrict(i.add(y).sigmoid()));return[T,T.tanh().mulStrict(x.sigmoid())]}var basicLSTMCell=op({basicLSTMCell_:basicLSTMCell_}),multiRNNCell=op({multiRNNCell_:multiRNNCell_});function movingAverage_(e,t,r,n,o){void 0===o&&(o=!0);var a=convertToTensor(e,\"v\",\"movingAverage\"),i=convertToTensor(t,\"x\",\"movingAverage\"),s=convertToTensor(r,\"decay\",\"movingAverage\");assertTypesMatch(a,i),assert(arraysEqual(a.shape,i.shape),\"Shape mismatch in v and x\");var u=scalar(1),l=u.sub(s),c=i.sub(a).mul(l);if(o){assert(null!=n,\"When using zeroDebias: true, step is required.\");var p=convertToTensor(n,\"step\",\"movingAverage\");c=c.div(u.sub(pow(s,p)))}return a.add(c)}var movingAverage=op({movingAverage_:movingAverage_});function stridedSlice_(e,t,r,n,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");var l=convertToTensor(e,\"x\",\"stridedSlice\");return ENV.engine.runKernel(function(e){return e.stridedSlice(l,t,r,n,o,a,i,s,u)},{$x:l})}var stridedSlice=op({stridedSlice_:stridedSlice_});function topk_(e,t,r){void 0===t&&(t=1),void 0===r&&(r=!0);var n=convertToTensor(e,\"x\",\"topk\");if(0===n.rank)throw new Error(\"topk() expects the input to be of rank 1 or higher\");var o=n.shape[n.shape.length-1];if(t>o)throw new Error(\"'k' passed to topk() must be <= the last dimension (\"+o+\") but got \"+t);var a=ENV.engine.runKernel(function(e){return e.topk(n,t,r)},{$x:n});return{values:a[0],indices:a[1]}}var topk=op({topk_:topk_});function scatterND_(e,t,r){var n=convertToTensor(e,\"indices\",\"scatterND\",\"int32\"),o=convertToTensor(t,\"updates\",\"scatterND\");return validateInput(o,n,r),ENV.engine.runKernel(function(e){return e.scatterND(n,o,r)},{$indices:n,$updates:o})}var scatterND=op({scatterND_:scatterND_});function fft_(e){assert(\"complex64\"===e.dtype,\"The dtype for tf.spectral.fft() must be complex64 but got \"+e.dtype+\".\");var t=e.shape[e.shape.length-1],r=e.size/t,n=e.as2D(r,t);return ENV.engine.runKernel(function(e){return e.fft(n)},{input:e}).reshape(e.shape)}function ifft_(e){assert(\"complex64\"===e.dtype,\"The dtype for tf.spectral.ifft() must be complex64 but got \"+e.dtype+\".\");var t=e.shape[e.shape.length-1],r=e.size/t,n=e.as2D(r,t);return ENV.engine.runKernel(function(e){return e.ifft(n)},{input:e}).reshape(e.shape)}function rfft_(e){assert(\"float32\"===e.dtype,\"The dtype for rfft() must be real value but\\n    got \"+e.dtype);var t=e.shape[e.shape.length-1],r=e.size/t,n=e.zerosLike(),o=complex(e,n).as2D(r,t),a=ENV.engine.runKernel(function(e){return e.fft(o)},{complexInput:o}),i=Math.floor(t/2)+1,s=real(a),u=imag(a),l=s.split([i,t-i],s.shape.length-1),c=u.split([i,t-i],u.shape.length-1),p=e.shape.slice();return p[e.shape.length-1]=i,complex(l[0],c[0]).reshape(p)}var fft=op({fft_:fft_}),ifft=op({ifft_:ifft_}),rfft=op({rfft_:rfft_}),spectral_ops=Object.freeze({fft:fft,ifft:ifft,rfft:rfft});function validateInput$1(e,t,r,n){if(\"int32\"!==e.dtype)throw new Error(\"tf.sparseToDense() expects the indices to be int32 type, but the dtype was \"+e.dtype+\".\");if(e.rank>2)throw new Error(\"sparseIndices should be a scalar, vector, or matrix, but got shape \"+e.shape+\".\");var o=e.rank>0?e.shape[0]:1,a=e.rank>1?e.shape[1]:1;if(r.length!==a)throw new Error(\"outputShape has incorrect number of elements:, \"+r.length+\", should be: \"+a+\".\");var i=t.size;if(0!==t.rank&&(1!==t.rank||i!==o))throw new Error(\"sparseValues has incorrect shape \"+t.shape+\", should be [] or [\"+o+\"]\");if(t.dtype!==n.dtype)throw new Error(\"sparseValues.dtype must match defaultValues.dtype\")}function sparseToDense_(e,t,r,n){var o=convertToTensor(e,\"sparseIndices\",\"sparseToDense\",\"int32\"),a=convertToTensor(t,\"sparseValues\",\"sparseToDense\"),i=convertToTensor(n,\"defaultValue\",\"sparseToDense\",a.dtype);return validateInput$1(o,a,r,i),ENV.engine.runKernel(function(e){return e.sparseToDense(o,a,r,i)},{$sparseIndices:o,$sparseValues:a,$defaultValue:i})}var sparseToDense=op({sparseToDense_:sparseToDense_});function gatherND_(e,t){var r=convertToTensor(t,\"indices\",\"gatherND\",\"int32\"),n=convertToTensor(e,\"x\",\"gatherND\");return ENV.engine.runKernel(function(e){return e.gatherND(n,r)},{$x:n,$indices:r})}var Reduction,gatherND=op({gatherND_:gatherND_});function computeWeightedLoss_(e,t,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var n=convertToTensor(e,\"losses\",\"computeWeightedLoss\"),o=null;null!=t&&(o=convertToTensor(t,\"weights\",\"computeWeightedLoss\"));var a=null==o?n:n.mul(o);if(r===Reduction.NONE)return a;if(r===Reduction.SUM)return a.sum();if(r===Reduction.MEAN){if(null==o)return a.mean();var i=sizeFromShape(n.shape)/sizeFromShape(o.shape),s=a.sum().div(o.sum());return i>1?s.div(scalar(i)):s}if(r===Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==o)return a.sum().div(scalar(n.size));var u=o.mul(ones$1(n.shape)).notEqual(scalar(0)).sum().toFloat();return a.sum().div(u)}throw Error(\"Unknown reduction: \"+r)}function absoluteDifference_(e,t,r,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"absoluteDifference\"),a=convertToTensor(t,\"predictions\",\"absoluteDifference\"),i=null;null!=r&&(i=convertToTensor(r,\"weights\",\"absoluteDifference\")),assertShapesMatch(o.shape,a.shape,\"Error in absoluteDifference: \");var s=o.sub(a).abs();return computeWeightedLoss(s,i,n)}function meanSquaredError_(e,t,r,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"meanSquaredError\"),a=convertToTensor(t,\"predictions\",\"meanSquaredError\"),i=null;null!=r&&(i=convertToTensor(r,\"weights\",\"meanSquaredError\")),assertShapesMatch(o.shape,a.shape,\"Error in meanSquaredError: \");var s=o.squaredDifference(a);return computeWeightedLoss(s,i,n)}function cosineDistance_(e,t,r,n,o){void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"cosineDistance\"),i=convertToTensor(t,\"predictions\",\"cosineDistance\"),s=null;null!=n&&(s=convertToTensor(n,\"weights\",\"cosineDistance\")),assertShapesMatch(a.shape,i.shape,\"Error in cosineDistance: \");var u=scalar(1).sub(a.mul(i).sum(r,!0));return computeWeightedLoss(u,s,o)}function hingeLoss_(e,t,r,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"hingeLoss\"),a=convertToTensor(t,\"predictions\",\"hingeLoss\"),i=null;null!=r&&(i=convertToTensor(r,\"weights\",\"hingeLoss\")),assertShapesMatch(o.shape,a.shape,\"Error in hingeLoss: \");var s=scalar(1);o=scalar(2).mul(o).sub(s);var u=s.sub(o.mul(a)).relu();return computeWeightedLoss(u,i,n)}function logLoss_(e,t,r,n,o){void 0===n&&(n=1e-7),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"logLoss\"),i=convertToTensor(t,\"predictions\",\"logLoss\"),s=null;null!=r&&(s=convertToTensor(r,\"weights\",\"logLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in logLoss: \");var u=scalar(1),l=scalar(n),c=a.mul(i.add(l).log()).neg().sub(u.sub(a).mul(u.sub(i).add(l).log()));return computeWeightedLoss(c,s,o)}function sigmoidCrossEntropyWithLogits_(e,t){var r=convertToTensor(e,\"labels\",\"sigmoidCrossEntropyWithLogits\"),n=convertToTensor(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");assertShapesMatch(r.shape,n.shape,\"Error in sigmoidCrossEntropyWithLogits: \");var o=n.relu(),a=n.mul(r),i=n.abs().neg().exp().log1p();return o.sub(a).add(i)}function sigmoidCrossEntropy_(e,t,r,n,o){void 0===n&&(n=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=convertToTensor(t,\"logits\",\"sigmoidCrossEntropy\"),s=null;if(null!=r&&(s=convertToTensor(r,\"weights\",\"sigmoidCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),n>0){var u=scalar(n),l=scalar(1),c=scalar(.5);a=a.mul(l.sub(u)).add(c.mul(u))}var p=sigmoidCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}function huberLoss_(e,t,r,n,o){void 0===n&&(n=1),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"huberLoss\"),i=convertToTensor(t,\"predictions\",\"huberLoss\"),s=null;null!=r&&(s=convertToTensor(r,\"weights\",\"huberLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in huberLoss: \");var u=scalar(n),l=i.sub(a).abs(),c=minimum(l,u),p=l.sub(c),d=scalar(.5).mul(c.square()).add(u.mul(p));return computeWeightedLoss(d,s,o)}function softmaxCrossEntropyWithLogits_(e,t,r){if(void 0===r&&(r=-1),-1===r&&(r=t.rank-1),r!==t.rank-1)throw Error(\"Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank \"+t.rank+\" and dim was \"+r);return customGrad(function(e,t){var n=t.logSumExp([r],!0),o=t.toFloat().sub(n);return{value:o.mul(e).neg().sum([r]),gradFunc:function(t){var n=expandShapeToKeepDim(t.shape,[r]);return[t.reshape(n).mul(e.toFloat().sub(o.exp())),t.reshape(n).mul(o.exp().sub(e.toFloat()))]}}})(e,t)}function softmaxCrossEntropy_(e,t,r,n,o){void 0===n&&(n=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"onehotLabels\",\"softmaxCrossEntropy\"),i=convertToTensor(t,\"logits\",\"softmaxCrossEntropy\"),s=null;if(null!=r&&(s=convertToTensor(r,\"weights\",\"softmaxCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in softmaxCrossEntropy: \"),n>0){var u=scalar(n),l=scalar(1),c=scalar(a.shape[1]);a=a.mul(l.sub(u)).add(u.div(c))}var p=softmaxCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}!function(e){e[e.NONE=0]=\"NONE\",e[e.MEAN=1]=\"MEAN\",e[e.SUM=2]=\"SUM\",e[e.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"}(Reduction||(Reduction={}));var absoluteDifference=op({absoluteDifference_:absoluteDifference_}),computeWeightedLoss=op({computeWeightedLoss_:computeWeightedLoss_}),cosineDistance=op({cosineDistance_:cosineDistance_}),hingeLoss=op({hingeLoss_:hingeLoss_}),huberLoss=op({huberLoss_:huberLoss_}),logLoss=op({logLoss_:logLoss_}),meanSquaredError=op({meanSquaredError_:meanSquaredError_}),sigmoidCrossEntropy=op({sigmoidCrossEntropy_:sigmoidCrossEntropy_}),softmaxCrossEntropy=op({softmaxCrossEntropy_:softmaxCrossEntropy_}),loss_ops=Object.freeze({get Reduction(){return Reduction},absoluteDifference:absoluteDifference,computeWeightedLoss:computeWeightedLoss,cosineDistance:cosineDistance,hingeLoss:hingeLoss,huberLoss:huberLoss,logLoss:logLoss,meanSquaredError:meanSquaredError,sigmoidCrossEntropy:sigmoidCrossEntropy,softmaxCrossEntropy:softmaxCrossEntropy});function gramSchmidt_(e){var t;if(Array.isArray(e)){t=!1,assert(null!=e&&e.length>0,\"Gram-Schmidt process: input must not be null, undefined, or empty\");for(var r=e[0].shape[0],n=1;n<e.length;++n)assert(e[n].shape[0]===r,\"Gram-Schmidt: Non-unique lengths found in the input vectors: (\"+e[n].shape[0]+\" vs. \"+r+\")\")}else t=!0,e=split$1(e,e.shape[0],0).map(function(e){return squeeze(e,[0])});assert(e.length<=e[0].shape[0],\"Gram-Schmidt: Number of vectors (\"+e.length+\") exceeds number of dimensions (\"+e[0].shape[0]+\").\");var o=[],a=e,i=function(e){o.push(ENV.engine.tidy(function(){var t=a[e];if(e>0)for(var r=0;r<e;++r){var n=sum$1(o[r].mulStrict(t)).mul(o[r]);t=t.sub(n)}return t.div(norm(t,\"euclidean\"))}))};for(n=0;n<e.length;++n)i(n);return t?stack(o,0):o}function qr_(e,t){if(void 0===t&&(t=!1),e.rank<2)throw new Error(\"qr() requires input tensor to have a rank >= 2, but got rank \"+e.rank);if(2===e.rank)return qr2d(e,t);var r=e.shape.slice(0,e.shape.length-2).reduce(function(e,t){return e*t}),n=[],o=[];return unstack(e.reshape([r,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0).forEach(function(e){var r=qr2d(e,t),a=r[0],i=r[1];n.push(a),o.push(i)}),[stack(n,0).reshape(e.shape),stack(o,0).reshape(e.shape)]}function qr2d(e,t){return void 0===t&&(t=!1),ENV.engine.tidy(function(){if(2!==e.shape.length)throw new Error(\"qr2d() requires a 2D Tensor, but got a \"+e.shape.length+\"D Tensor.\");for(var r=e.shape[0],n=e.shape[1],o=eye(r),a=e.clone(),i=tensor2d([[1]],[1,1]),s=i.clone(),u=r>=n?n:r,l=function(e){var t,u=a,l=s,c=o;t=ENV.engine.tidy(function(){var t=a.slice([e,e],[r-e,1]),u=t.norm(),l=a.slice([e,e],[1,1]),c=l.sign().neg(),p=l.sub(c.mul(u)),d=t.div(p);s=1===d.shape[0]?i.clone():i.concat(d.slice([1,0],[d.shape[0]-1,d.shape[1]]),0);var h=c.matMul(p).div(u).neg(),f=a.slice([e,0],[r-e,n]),m=h.mul(s);a=0===e?f.sub(m.matMul(s.transpose().matMul(f))):a.slice([0,0],[e,n]).concat(f.sub(m.matMul(s.transpose().matMul(f))),0);var g=o.slice([0,e],[r,o.shape[1]-e]);return o=0===e?g.sub(g.matMul(s).matMul(m.transpose())):o.slice([0,0],[r,e]).concat(g.sub(g.matMul(s).matMul(m.transpose())),1),[s,a,o]}),s=t[0],a=t[1],o=t[2],dispose([u,l,c])},c=0;c<u;++c)l(c);return!t&&r>n&&(o=o.slice([0,0],[r,n]),a=a.slice([0,0],[n,n])),[o,a]})}var gramSchmidt=op({gramSchmidt_:gramSchmidt_}),qr=op({qr_:qr_}),linalg_ops=Object.freeze({gramSchmidt:gramSchmidt,qr:qr});function resizeBilinear_(e,t,r){void 0===r&&(r=!1);var n=convertToTensor(e,\"images\",\"resizeBilinear\");assert(3===n.rank||4===n.rank,\"Error in resizeBilinear: x must be rank 3 or 4, but got rank \"+n.rank+\".\"),assert(2===t.length,\"Error in resizeBilinear: new shape must 2D, but got shape \"+t+\".\");var o=n,a=!1;3===n.rank&&(a=!0,o=n.as4D(1,n.shape[0],n.shape[1],n.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeBilinear(o,i,s,r)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeBilinearBackprop(e,o,r)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function resizeNearestNeighbor_(e,t,r){void 0===r&&(r=!1);var n=convertToTensor(e,\"images\",\"resizeNearestNeighbor\");assert(3===n.rank||4===n.rank,\"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank \"+n.rank+\".\"),assert(2===t.length,\"Error in resizeNearestNeighbor: new shape must 2D, but got shape \"+t+\".\"),assert(\"float32\"===n.dtype||\"int32\"===n.dtype,\"`images` must have `int32` or `float32` as dtype\");var o=n,a=!1;3===n.rank&&(a=!0,o=n.as4D(1,n.shape[0],n.shape[1],n.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeNearestNeighbor(o,i,s,r)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeNearestNeighborBackprop(e,o,r)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function nonMaxSuppression_(e,t,r,n,o){void 0===n&&(n=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=convertToTensor(e,\"boxes\",\"nonMaxSuppression\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppression\"),s=nonMaxSuppSanityCheck(a,i,r,n,o);return r=s.maxOutputSize,n=s.iouThreshold,o=s.scoreThreshold,ENV.engine.runKernel(function(e){return e.nonMaxSuppression(a,i,r,n,o)},{$boxes:a})}function nonMaxSuppressionAsync_(e,t,r,n,o){return void 0===n&&(n=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),__awaiter(this,void 0,void 0,function(){var a,i,s,u,l,c;return __generator(this,function(p){switch(p.label){case 0:return a=convertToTensor(e,\"boxes\",\"nonMaxSuppressionAsync\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppressionAsync\"),s=nonMaxSuppSanityCheck(a,i,r,n,o),r=s.maxOutputSize,n=s.iouThreshold,o=s.scoreThreshold,[4,a.data()];case 1:return u=p.sent(),[4,i.data()];case 2:return l=p.sent(),c=nonMaxSuppressionImpl(u,l,r,n,o),a!==e&&a.dispose(),i!==t&&i.dispose(),[2,c]}})})}function nonMaxSuppSanityCheck(e,t,r,n,o){null==n&&(n=.5),null==o&&(o=Number.NEGATIVE_INFINITY);var a=e.shape[0];return r=Math.min(r,a),assert(0<=n&&n<=1,\"iouThreshold must be in [0, 1], but was '\"+n+\"'\"),assert(2===e.rank,\"boxes must be a 2D tensor, but was of rank '\"+e.rank+\"'\"),assert(4===e.shape[1],\"boxes must have 4 columns, but 2nd dimension was \"+e.shape[1]),assert(1===t.rank,\"scores must be a 1D tensor\"),assert(t.shape[0]===a,\"scores has incompatible shape with boxes. Expected \"+a+\", but was \"+t.shape[0]),{maxOutputSize:r,iouThreshold:n,scoreThreshold:o}}function cropAndResize_(e,t,r,n,o,a){var i=convertToTensor(e,\"image\",\"cropAndResize\",\"float32\"),s=convertToTensor(t,\"boxes\",\"cropAndResize\",\"float32\"),u=convertToTensor(r,\"boxInd\",\"cropAndResize\",\"int32\");o=o||\"bilinear\",a=a||0;var l=s.shape[0];assert(4===i.rank,\"Error in cropAndResize: image must be rank 4,but got rank \"+i.rank+\".\"),assert(2===s.rank&&4===s.shape[1],\"Error in cropAndResize: boxes must be have size [\"+l+\",4] but had shape \"+s.shape+\".\"),assert(1===u.rank&&u.shape[0]===l,\"Error in cropAndResize: boxInd must be have size [\"+l+\"] but had shape \"+s.shape+\".\"),assert(\"int32\"===u.dtype,\"Error in cropAndResize: boxInd must be of dtype int32, but got dtype \"+u.dtype+\".\"),assert(2===n.length,\"Error in cropAndResize: cropSize must be of length 2, but got length \"+n.length+\".\"),assert(n[0]>=1&&n[1]>=1,\"cropSize must be atleast [1,1], but was \"+n),assert(\"bilinear\"===o||\"nearest\"===o,\"method must be bilinear or nearest, but was \"+o);return ENV.engine.runKernel(function(e,t){return e.cropAndResize(i,s,u,n,o,a)},{$image:i,$boxes:s})}var resizeBilinear=op({resizeBilinear_:resizeBilinear_}),resizeNearestNeighbor=op({resizeNearestNeighbor_:resizeNearestNeighbor_}),nonMaxSuppression=op({nonMaxSuppression_:nonMaxSuppression_}),nonMaxSuppressionAsync=nonMaxSuppressionAsync_,cropAndResize=cropAndResize_,image_ops=Object.freeze({resizeBilinear:resizeBilinear,resizeNearestNeighbor:resizeNearestNeighbor,nonMaxSuppression:nonMaxSuppression,nonMaxSuppressionAsync:nonMaxSuppressionAsync,cropAndResize:cropAndResize}),ops=Object.freeze({image:image_ops,linalg:linalg_ops,losses:loss_ops,spectral:spectral_ops,op:op,batchNormalization2d:batchNormalization2d,batchNormalization3d:batchNormalization3d,batchNormalization4d:batchNormalization4d,batchNormalization:batchNormalization,complex:complex,real:real,imag:imag,concat:concat,concat1d:concat1d,concat2d:concat2d,concat3d:concat3d,concat4d:concat4d,split:split$1,conv1d:conv1d,conv2d:conv2d,conv2dDerFilter:conv2dDerFilter,depthwiseConv2d:depthwiseConv2d,separableConv2d:separableConv2d,conv2dTranspose:conv2dTranspose,matMul:matMul,dot:dot,outerProduct:outerProduct,reverse:reverse,reverse1d:reverse1d,reverse2d:reverse2d,reverse3d:reverse3d,reverse4d:reverse4d,maxPool:maxPool,avgPool:avgPool,pool:pool,slice:slice,slice1d:slice1d,slice2d:slice2d,slice3d:slice3d,slice4d:slice4d,abs:abs,acos:acos,acosh:acosh,asin:asin,asinh:asinh,atan:atan,atanh:atanh,ceil:ceil,clipByValue:clipByValue,cos:cos,cosh:cosh,erf:erf,exp:exp,expm1:expm1,floor:floor,log:log$1,log1p:log1p,logSigmoid:logSigmoid,neg:neg,reciprocal:reciprocal,round:round,rsqrt:rsqrt,sigmoid:sigmoid,sign:sign,sin:sin,sinh:sinh,softplus:softplus,sqrt:sqrt,square:square,step:step,tan:tan,tanh:tanh$1,all:all,any:any,argMax:argMax,argMin:argMin,logSumExp:logSumExp,max:max,mean:mean,min:min,moments:moments,sum:sum$1,prod:prod,equal:equal,equalStrict:equalStrict,greater:greater,greaterEqual:greaterEqual,greaterEqualStrict:greaterEqualStrict,greaterStrict:greaterStrict,less:less,lessEqual:lessEqual,lessEqualStrict:lessEqualStrict,lessStrict:lessStrict,notEqual:notEqual,notEqualStrict:notEqualStrict,add:add,addN:addN,addStrict:addStrict,atan2:atan2,div:div,divStrict:divStrict,floorDiv:floorDiv,maximum:maximum,maximumStrict:maximumStrict,minimum:minimum,minimumStrict:minimumStrict,mod:mod,modStrict:modStrict,mul:mul,mulStrict:mulStrict,pow:pow,powStrict:powStrict,squaredDifference:squaredDifference,squaredDifferenceStrict:squaredDifferenceStrict,sub:sub,subStrict:subStrict,elu:elu,leakyRelu:leakyRelu,prelu:prelu,relu:relu,selu:selu,logicalAnd:logicalAnd,logicalNot:logicalNot,logicalOr:logicalOr,logicalXor:logicalXor,where:where,whereAsync:whereAsync,buffer:buffer,toPixels:toPixels,print:print,batchToSpaceND:batchToSpaceND,cast:cast,clone:clone,cumsum:cumsum,depthToSpace:depthToSpace,expandDims:expandDims,eye:eye,fromPixels:fromPixels,multinomial:multinomial,oneHot:oneHot,pad:pad,pad1d:pad1d,pad2d:pad2d,pad3d:pad3d,pad4d:pad4d,rand:rand,randomNormal:randomNormal,randomUniform:randomUniform,reshape:reshape,spaceToBatchND:spaceToBatchND,squeeze:squeeze,stack:stack,tile:tile,truncatedNormal:truncatedNormal,unstack:unstack,setdiff1dAsync:setdiff1dAsync,fill:fill,linspace:linspace,ones:ones$1,range:range,scalar:scalar,tensor:tensor,tensor1d:tensor1d,tensor2d:tensor2d,tensor3d:tensor3d,tensor4d:tensor4d,tensor5d:tensor5d,tensor6d:tensor6d,zeros:zeros,onesLike:onesLike,zerosLike:zerosLike,transpose:transpose,softmax:softmax,logSoftmax:logSoftmax,localResponseNormalization:localResponseNormalization,norm:norm,gather:gather,unsortedSegmentSum:unsortedSegmentSum,basicLSTMCell:basicLSTMCell,multiRNNCell:multiRNNCell,movingAverage:movingAverage,stridedSlice:stridedSlice,topk:topk,scatterND:scatterND,fft:fft,ifft:ifft,rfft:rfft,sparseToDense:sparseToDense,gatherND:gatherND}),MathBackendCPU=function(){function e(){this.blockSize=48,this.firstUse=!0,ENV.get(\"IS_BROWSER\")&&(this.fromPixels2DContext=document.createElement(\"canvas\").getContext(\"2d\"))}return e.prototype.setDataMover=function(e){this.data=new DataStorage(e)},e.prototype.register=function(e,t,r){if(this.firstUse&&(this.firstUse=!1,ENV.get(\"IS_NODE\")&&warn(\"\\n============================\\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\\n============================\\n\")),this.data.has(e))throw new Error(\"Data buffer is already registered\");this.data.set(e,{dtype:r})},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendCPU.write(): values can not be null\");this.data.get(e).values=t},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var r,n;if(ENV.get(\"IS_NODE\")&&null==e.getContext)throw new Error(\"When running in node, pixels must be an HTMLCanvasElement like the one returned by the `canvas` npm package\");if(null!=e.getContext)r=e.getContext(\"2d\").getImageData(0,0,e.width,e.height).data;else if(e instanceof ImageData)r=e.data;else{if(!(e instanceof HTMLImageElement||e instanceof HTMLVideoElement))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(null==this.fromPixels2DContext)throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");this.fromPixels2DContext.canvas.width=e.width,this.fromPixels2DContext.canvas.height=e.height,this.fromPixels2DContext.drawImage(e,0,0,e.width,e.height),r=this.fromPixels2DContext.getImageData(0,0,e.width,e.height).data}if(4===t)n=new Int32Array(r);else{var o=e.width*e.height;n=new Int32Array(o*t);for(var a=0;a<o;a++)for(var i=0;i<t;++i)n[a*t+i]=r[4*a+i]}return tensor3d(n,[e.height,e.width,t],\"int32\")},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.readSync(e)]})})},e.prototype.readSync=function(e){var t=this.data.get(e),r=t.dtype,n=t.complexTensors;return\"complex64\"===r?mergeRealAndImagArrays(n.real.dataSync(),n.imag.dataSync()):this.data.get(e).values},e.prototype.disposeData=function(e){if(this.data.has(e)){var t=this.data.get(e).complexTensors;null!=t&&(t.real.dispose(),t.imag.dispose()),this.data.delete(e)}},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(r){return t=now(),e(),[2,{kernelMs:now()-t}]})})},e.prototype.memory=function(){return{unreliable:!0}},e.prototype.complex=function(e,t){var r=Tensor.make(e.shape,{},\"complex64\");return this.data.get(r.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},r},e.prototype.real=function(e){return this.data.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.data.get(e.dataId).complexTensors.imag.clone()},e.prototype.assertNotComplex=function(e,t){Array.isArray(e)||(e=[e]),e.forEach(function(e){null!=e&&assert(\"complex64\"!==e.dtype,t+\" does not support complex64 tensors.\")})},e.prototype.slice=function(e,t,r){this.assertNotComplex(e,\"slice\");for(var n=buffer(r,e.dtype),o=0;o<n.size;++o){var a=n.indexToLoc(o),i=a.map(function(e,r){return e+t[r]});n.set.apply(n,[e.get.apply(e,i)].concat(a))}return n.toTensor()},e.prototype.stridedSlice=function(e,t,r,n,o,a,i,s,u){this.assertNotComplex(e,\"stridedSlice\");var l=getStridedSlicedInfo(e.shape,t,r,n,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);for(var f=buffer(p,e.dtype),m=0;m<f.size;m++){for(var g=f.indexToLoc(m),v=new Array(g.length),y=0;y<v.length;y++)v[y]=g[y]*n[y]+c[y];f.set.apply(f,[e.get.apply(e,v)].concat(g))}return f.toTensor().reshape(h)},e.prototype.reverse=function(e,t){this.assertNotComplex(e,\"reverse\");for(var r=buffer(e.shape,e.dtype),n=e.buffer(),o=function(o){var a=r.indexToLoc(o),i=a.slice();t.forEach(function(t){return i[t]=e.shape[t]-1-i[t]}),r.set.apply(r,[n.get.apply(n,i)].concat(a))},a=0;a<r.size;a++)o(a);return r.toTensor()},e.prototype.concat=function(e,t){this.assertNotComplex(e,\"concat\");var r=e.map(function(e){var r=sizeFromShape(e.shape.slice(t));return e.as2D(-1,r)}),n=computeOutShape(r.map(function(e){return e.shape}),1),o=buffer(n,e[0].dtype).values;if(1===r[0].shape[0]){var a=0;r.forEach(function(e){o.set(e.dataSync(),a),a+=e.size})}else{var i=0;r.forEach(function(e){for(var t=e.dataSync(),r=0,a=0;a<e.shape[0];++a)for(var s=a*n[1]+i,u=0;u<e.shape[1];++u)o[s+u]=t[r++];i+=e.shape[1]})}var s=computeOutShape(e.map(function(e){return e.shape}),t);return tensor(o,s,e[0].dtype)},e.prototype.neg=function(e){return this.assertNotComplex(e,\"neg\"),this.multiply(scalar(-1),e)},e.prototype.add=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,r,n){return{real:e+r,imag:t+n}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e+t})},e.prototype.addN=function(e){this.assertNotComplex(e,\"addN\");for(var t=e.map(function(e){return e.dataSync()}),r=buffer(e[0].shape,e[0].dtype),n=r.values,o=0;o<e.length;o++)for(var a=t[o],i=0;i<n.length;i++)n[i]+=a[i];return r.toTensor()},e.prototype.subtract=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,r,n){return{real:e-r,imag:t-n}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e-t})},e.prototype.pow=function(e,t){return this.assertNotComplex([e,t],\"pow\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.pow(e,t)})},e.prototype.batchMatMul=function(e,t,r,n){this.assertNotComplex([e,t],\"matMul\");for(var o=r?e.shape[1]:e.shape[2],a=r?e.shape[2]:e.shape[1],i=n?t.shape[1]:t.shape[2],s=e.shape[0],u=e.dataSync(),l=t.dataSync(),c=r?[e.strides[0],1,e.strides[1]]:[e.strides[0],e.strides[1],1],p=c[0],d=c[1],h=c[2],f=n?[1,t.strides[1],t.strides[0]]:[t.strides[1],1,t.strides[0]],m=f[0],g=f[1],v=f[2],y=a*i,x=new Float32Array(s*y),T=this.blockSize,E=0;E<s;E++)for(var w=0;w<a;w+=T)for(var S=0;S<i;S+=T)for(var b=0;b<o;b+=T)for(var C=Math.min(w+T,a),_=Math.min(S+T,i),A=Math.min(b+T,o),N=w;N<C;N++)for(var R=S;R<_;R++){for(var I=0,k=b;k<A;k++)I+=u[E*p+N*d+k*h]*l[k*m+R*g+E*v];x[E*y+(N*i+R)]+=I}return tensor3d(x,[s,a,i])},e.prototype.multiply=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,r,n){return{real:e*r-t*n,imag:e*n+t*r}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e*t})},e.prototype.realDivide=function(e,t){this.assertNotComplex([e,t],\"realDivide\");return this.broadcastedBinaryOp(e,t,\"float32\",function(e,t){return e/t})},e.prototype.floorDiv=function(e,t){this.assertNotComplex([e,t],\"floorDiv\");return this.broadcastedBinaryOp(e,t,\"int32\",function(e,t){return Math.floor(e/t)})},e.prototype.sum=function(e,t){this.assertNotComplex(e,\"sum\"),assertAxesAreInnerMostDims(\"sum\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,upcastType(e.dtype,\"int32\")),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=0,d=0;d<i;++d)p+=u[c+d];s[l]=p}return a},e.prototype.prod=function(e,t){this.assertNotComplex(e,\"sum\");for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,upcastType(e.dtype,\"int32\")),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=1,d=0;d<i;++d)p*=u[c+d];s[l]=p}return a},e.prototype.unsortedSegmentSum=function(e,t,r){this.assertNotComplex(e,\"unsortedSegmentSum\");for(var n=[],o=e.rank-t.rank,a=0;a<o;++a)t=t.expandDims(a+1);for(a=0;a<r;++a){var i=scalar(a,\"int32\"),s=equal(i,t).asType(\"float32\").mul(e).sum(0);n.push(s)}return stack(n)},e.prototype.argMin=function(e,t){this.assertNotComplex(e,\"argMin\");var r=[t];assertAxesAreInnerMostDims(\"argMin\",r,e.rank);for(var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=n[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m<d&&(d=m,h=f)}u[c]=h}return i},e.prototype.argMax=function(e,t){this.assertNotComplex(e,\"argMax\");var r=[t];assertAxesAreInnerMostDims(\"argMax\",r,e.rank);for(var n=computeOutAndReduceShapes(e.shape,r),o=n[0],a=n[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m>d&&(d=m,h=f)}u[c]=h}return i},e.prototype.cumsum=function(e,t,r,n){if(this.assertNotComplex(e,\"cumsum\"),t!==e.rank-1)throw new Error(\"backend.cumsum in CPU expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);for(var o=upcastType(e.dtype,\"int32\"),a=zeros(e.shape,o),i=a.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=n?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var p=0;p<u;p++){var d=l(c,p);if(0===p)i[d]=r?0:s[d];else{var h=l(c,p-1);i[d]=r?s[h]+i[h]:s[d]+i[h]}}return a},e.prototype.equal=function(e,t){return this.assertNotComplex([e,t],\"equal\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.assertNotComplex([e,t],\"notEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.assertNotComplex([e,t],\"less\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.assertNotComplex([e,t],\"lessEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.assertNotComplex([e,t],\"greater\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.assertNotComplex([e,t],\"greaterEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){this.assertNotComplex(e,\"logicalNot\");for(var t=e.dataSync(),r=new Int32Array(t.length),n=0;n<t.length;++n)r[n]=t[n]?0:1;return Tensor.make(e.shape,{values:r},\"bool\")},e.prototype.logicalAnd=function(e,t){return this.assertNotComplex([e,t],\"logicalAnd\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.assertNotComplex([e,t],\"logicalOr\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e||t})},e.prototype.select=function(e,t,r){this.assertNotComplex([e,t,r],\"select\");for(var n=e.dataSync(),o=t.dataSync(),a=r.dataSync(),i=zeros(t.shape,upcastType(t.dtype,r.dtype)),s=i.dataSync(),u=0,l=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],c=0;c<n.length;c++)for(var p=0;p<l;p++)1===n[c]?s[u++]=o[c]:s[u++]=a[c];return i},e.prototype.where=function(e){this.assertNotComplex([e],\"where\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,r){return this.assertNotComplex(e,\"topk\"),topkImpl(e.dataSync(),e.shape,e.dtype,t,r)},e.prototype.min=function(e,t){this.assertNotComplex(e,\"min\"),assertAxesAreInnerMostDims(\"min\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h<p&&(p=h)}s[l]=p}return a},e.prototype.minimum=function(e,t){return this.assertNotComplex([e,t],\"minimum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.assertNotComplex([e,t],\"mod\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var r=e%t;return e<0&&t<0||e>=0&&t>=0?r:(r+t)%t})},e.prototype.max=function(e,t){this.assertNotComplex(e,\"max\"),assertAxesAreInnerMostDims(\"max\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h>p&&(p=h)}s[l]=p}return a},e.prototype.maximum=function(e,t){return this.assertNotComplex([e,t],\"maximum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){this.assertNotComplex(e,\"all\"),assertAxesAreInnerMostDims(\"all\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p&&h}s[l]=p}return a},e.prototype.any=function(e,t){this.assertNotComplex(e,\"any\"),assertAxesAreInnerMostDims(\"any\",t,e.rank);for(var r=computeOutAndReduceShapes(e.shape,t),n=r[0],o=r[1],a=zeros(n,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p||h}s[l]=p}return a},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],\"squaredDifference\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var r=e-t;return r*r})},e.prototype.ceil=function(e){this.assertNotComplex(e,\"ceil\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.ceil(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.floor=function(e){this.assertNotComplex(e,\"floor\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.floor(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.sign=function(e){this.assertNotComplex(e,\"x\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)t[n]<0?r[n]=-1:t[n]>0?r[n]=1:r[n]=0;return Tensor.make(e.shape,{values:r})},e.prototype.round=function(e){this.assertNotComplex(e,\"round\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=Math.floor(t[n]);t[n]-o<.5?r[n]=Math.floor(t[n]):t[n]-o>.5?r[n]=Math.ceil(t[n]):r[n]=o%2==0?o:o+1}return Tensor.make(e.shape,{values:r})},e.prototype.exp=function(e){this.assertNotComplex(e,\"exp\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.exp(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.expm1=function(e){this.assertNotComplex(e,\"expm1\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=Math.expm1(t[n]);return Tensor.make(e.shape,{values:r})},e.prototype.log=function(e){this.assertNotComplex(e,\"log\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=Math.log(o)}return Tensor.make(e.shape,{values:r})},e.prototype.log1p=function(e){this.assertNotComplex(e,\"log1p\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=Math.log1p(o)}return Tensor.make(e.shape,{values:r})},e.prototype.sqrt=function(e){this.assertNotComplex(e,\"sqrt\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=Math.sqrt(o)}return Tensor.make(e.shape,{values:r})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,\"rsqrt\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=1/Math.sqrt(o)}return Tensor.make(e.shape,{values:r})},e.prototype.square=function(e){this.assertNotComplex(e,\"square\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n){var o=t[n];r[n]=o*o}return Tensor.make(e.shape,{values:r})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,\"reciprocal\");for(var t=e.dataSync(),r=new Float32Array(t.length),n=0;n<t.length;++n)r[n]=1/t[n];return Tensor.make(e.shape,{values:r})},e.prototype.relu=function(e){this.assertNotComplex(e,\"relu\");for(var t=zeros(e.shape,e.dtype),r=t.dataSync(),n=e.dataSync(),o=0;o<n.length;++o)r[o]=Math.max(0,n[o]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,\"elu\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n){var o=r[n];t[n]=o>=0?o:Math.exp(o)-1}return Tensor.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],\"eluDer\");for(var r=new Float32Array(t.size),n=t.dataSync(),o=e.dataSync(),a=0;a<n.length;++a){var i=n[a];r[a]=i>=1?o[a]:o[a]*(i+1)}return Tensor.make(t.shape,{values:r})},e.prototype.selu=function(e){this.assertNotComplex(e,\"selu\");for(var t=SELU_SCALEALPHA,r=SELU_SCALE,n=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];n[a]=i>=0?r*i:t*(Math.exp(i)-1)}return Tensor.make(e.shape,{values:n})},e.prototype.clip=function(e,t,r){this.assertNotComplex(e,\"clip\");for(var n=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];n[a]=i>r?r:i<t?t:i}return Tensor.make(e.shape,{values:n})},e.prototype.abs=function(e){for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.abs(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.complexAbs=function(e){for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<e.size;++n){var o=r[2*n],a=r[2*n+1];t[n]=Math.sqrt(o*o+a*a)}return Tensor.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,\"int\");for(var t=new Int32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=r[n];return Tensor.make(e.shape,{values:t},\"int32\")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,\"sigmoid\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=1/(1+Math.exp(-r[n]));return Tensor.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,\"softplus\");for(var t=Math.log(1.1920928955078125e-7)+2,r=new Float32Array(e.size),n=e.dataSync(),o=0;o<n.length;++o){var a=n[o]>-t,i=n[o]<t,s=Math.exp(n[o]),u=void 0;u=i?s:a?n[o]:Math.log(1+s),r[o]=u}return Tensor.make(e.shape,{values:r})},e.prototype.sin=function(e){this.assertNotComplex(e,\"sin\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.sin(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,\"cos\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.cos(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,\"tan\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.tan(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,\"asin\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.asin(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,\"acos\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.acos(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,\"atan\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.atan(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],\"atan2\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,\"sinh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.sinh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,\"cosh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.cosh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,\"tanh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=tanh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,\"asinh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.asinh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,\"acosh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.acosh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,\"atanh\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=0;n<r.length;++n)t[n]=Math.atanh(r[n]);return Tensor.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,\"erf\");for(var t=new Float32Array(e.size),r=e.dataSync(),n=ERF_P,o=ERF_A1,a=ERF_A2,i=ERF_A3,s=ERF_A4,u=ERF_A5,l=0;l<r.length;++l){var c=r[l],p=1/(1+n*c);t[l]=1-((((u*p+s)*p+i)*p+a)*p+o)*p*Math.exp(-c*c)}return Tensor.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,\"step\");for(var r=new Float32Array(e.size),n=e.dataSync(),o=0;o<n.length;++o){var a=n[o];isNaN(a)?r[o]=NaN:r[o]=a>0?1:t}return Tensor.make(e.shape,{values:r})},e.prototype.conv2d=function(e,t,r){this.assertNotComplex([e,t],\"conv2d\");for(var n=r.filterHeight,o=r.filterWidth,a=r.dilationHeight,i=r.dilationWidth,s=r.padInfo.left,u=r.padInfo.top,l=buffer(r.outShape,e.dtype),c=e.dataSync(),p=t.dataSync(),d=l.values,h=0;h<r.batchSize;++h)for(var f=h*e.strides[0],m=h*l.strides[0],g=0;g<r.outHeight;++g)for(var v=m+g*l.strides[1],y=g*r.strideHeight-s,x=0;x<n;x++){var T=y+x*a;if(!(T<0||T>=r.inHeight))for(var E=x*t.strides[0],w=f+T*e.strides[1],S=0;S<r.outWidth;++S)for(var b=v+S*r.outChannels,C=S*r.strideWidth-u,_=0;_<o;_++){var A=C+_*i;if(!(A<0||A>=r.inWidth))for(var N=E+_*t.strides[1],R=w+A*r.inChannels,I=N,k=0;k<r.inChannels;++k){for(var D=c[R+k],M=0;M<r.outChannels;++M)d[b+M]+=D*p[I+M];I+=r.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,r){this.assertNotComplex([e,t],\"conv2dDerInput\");for(var n=buffer(r.inShape,\"float32\"),o=n.values,a=n.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],y=m[2],x=r.batchSize,T=r.filterHeight,E=r.filterWidth,w=r.inChannels,S=r.inHeight,b=r.inWidth,C=r.outChannels,_=r.outHeight,A=r.outWidth,N=r.strideHeight,R=r.strideWidth,I=T-1-r.padInfo.top,k=E-1-r.padInfo.left,D=0;D<x;++D)for(var M=0;M<w;++M)for(var O=0;O<S;++O)for(var P=O-I,F=Math.max(0,Math.ceil(P/N)),L=Math.min(_,(T+P)/N),B=0;B<b;++B){for(var U=B-k,z=Math.max(0,Math.ceil(U/R)),V=Math.min(A,(E+U)/R),H=0,G=F;G<L;++G)for(var W=G*N-P,q=z;q<V;++q)for(var $=p*D+d*G+h*q,X=g*(T-1-W)+v*(E-1-(q*R-U))+y*M,K=0;K<C;++K){H+=l[$+K]*f[X+K]}o[i*D+s*O+u*B+M]=H}return n.toTensor()},e.prototype.conv2dDerFilter=function(e,t,r){this.assertNotComplex([e,t],\"conv2dDerFilter\");for(var n=r.strideHeight,o=r.strideWidth,a=r.filterHeight,i=r.filterWidth,s=buffer(r.filterShape,\"float32\"),u=r.padInfo.left,l=r.padInfo.top,c=0;c<a;++c)for(var p=Math.max(0,Math.ceil((l-c)/n)),d=Math.min(r.outHeight,(r.inHeight+l-c)/n),h=0;h<i;++h)for(var f=Math.max(0,Math.ceil((u-h)/o)),m=Math.min(r.outWidth,(r.inWidth+u-h)/o),g=0;g<r.inChannels;++g)for(var v=0;v<r.outChannels;++v){for(var y=0,x=0;x<r.batchSize;++x)for(var T=p;T<d;++T)for(var E=c+T*n-l,w=f;w<m;++w){var S=h+w*o-u;y+=e.get(x,E,S,g)*t.get(x,T,w,v)}s.set(y,c,h,g,v)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,r){this.assertNotComplex([e,t],\"depthwiseConv2D\");for(var n=r.filterHeight,o=r.filterWidth,a=r.dilationHeight,i=r.dilationWidth,s=r.padInfo.left,u=r.padInfo.top,l=r.outChannels/r.inChannels,c=buffer(r.outShape,e.dtype),p=e.dataSync(),d=t.dataSync(),h=c.values,f=0;f<r.batchSize;++f)for(var m=f*e.strides[0],g=f*c.strides[0],v=0;v<r.outHeight;++v)for(var y=g+v*c.strides[1],x=v*r.strideHeight-s,T=0;T<n;++T){var E=x+T*a;if(!(E<0||E>=r.inHeight))for(var w=T*t.strides[0],S=m+E*e.strides[1],b=0;b<r.outWidth;++b)for(var C=y+b*c.strides[2],_=b*r.strideWidth-u,A=0;A<o;++A){var N=_+A*i;if(!(N<0||N>=r.inWidth))for(var R=w+A*t.strides[1],I=S+N*r.inChannels,k=C,D=R,M=0;M<r.inChannels;++M){for(var O=p[I+M],P=0;P<l;++P)h[k+P]+=O*d[D+P];k+=l,D+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,r){this.assertNotComplex([e,t],\"depthwiseConv2DDerInput\");for(var n=buffer(r.inShape,\"float32\"),o=n.values,a=n.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],y=m[2],x=r.batchSize,T=r.filterHeight,E=r.filterWidth,w=r.inChannels,S=r.inHeight,b=r.inWidth,C=r.outChannels,_=r.outHeight,A=r.outWidth,N=r.strideHeight,R=r.strideWidth,I=T-1-r.padInfo.top,k=E-1-r.padInfo.left,D=C/w,M=0;M<x;++M)for(var O=0;O<w;++O)for(var P=0;P<S;++P)for(var F=P-I,L=Math.max(0,Math.ceil(F/N)),B=Math.min(_,(T+F)/N),U=0;U<b;++U){for(var z=U-k,V=Math.max(0,Math.ceil(z/R)),H=Math.min(A,(E+z)/R),G=0,W=L;W<B;++W)for(var q=W*N-F,$=V;$<H;++$)for(var X=p*M+d*W+h*$,K=g*(T-1-q)+v*(E-1-($*R-z))+y*O,j=0;j<D;++j){G+=l[X+(O*D+j)]*f[K+j]}o[i*M+s*P+u*U+O]=G}return n.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,r){this.assertNotComplex([e,t],\"depthwiseConv2DDerFilter\");for(var n=r.strideHeight,o=r.strideWidth,a=r.filterHeight,i=r.filterWidth,s=buffer(r.filterShape,\"float32\"),u=r.padInfo.left,l=r.padInfo.top,c=r.outChannels/r.inChannels,p=0;p<a;++p)for(var d=Math.max(0,Math.ceil((l-p)/n)),h=Math.min(r.outHeight,(r.inHeight+l-p)/n),f=0;f<i;++f)for(var m=Math.max(0,Math.ceil((u-f)/o)),g=Math.min(r.outWidth,(r.inWidth+u-f)/o),v=0;v<r.outChannels;++v){for(var y=Math.trunc(v/c),x=v%c,T=0,E=0;E<r.batchSize;++E)for(var w=d;w<h;++w)for(var S=p+w*n-l,b=m;b<g;++b){var C=f+b*o-u;T+=e.get(E,S,C,y)*t.get(E,w,b,v)}s.set(T,p,f,y,x)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,\"tile\");for(var r=new Array(e.rank),n=0;n<r.length;n++)r[n]=e.shape[n]*t[n];var o=buffer(r,e.dtype),a=e.buffer();for(n=0;n<o.values.length;++n){for(var i=o.indexToLoc(n),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=i[u]%e.shape[u];var l=a.locToIndex(s);o.values[n]=a.values[l]}return o.toTensor()},e.prototype.pad=function(e,t,r){this.assertNotComplex(e,\"pad\");var n=t.map(function(t,r){return t[0]+e.shape[r]+t[1]}),o=t.map(function(e){return e[0]}),a=e.buffer(),i=buffer(n,e.dtype);0!==r&&i.values.fill(r);for(var s=0;s<e.size;s++){var u=a.indexToLoc(s),l=u.map(function(e,t){return e+o[t]});i.set.apply(i,[e.get.apply(e,u)].concat(l))}return i.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,\"transpose\");for(var r=new Array(e.rank),n=0;n<r.length;n++)r[n]=e.shape[t[n]];var o=e.dataSync(),a=buffer(r,e.dtype),i=e.buffer();for(n=0;n<e.size;++n){for(var s=i.indexToLoc(n),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=a.locToIndex(u);a.values[c]=o[n]}return a.toTensor()},e.prototype.gather=function(e,t,r){this.assertNotComplex([e,t],\"gather\");var n=e.shape.slice(),o=t.dataSync();n[r]=o.length;for(var a=buffer(n,e.dtype),i=e.buffer(),s=0;s<a.size;++s){var u=a.indexToLoc(s),l=u.slice();l[r]=o[u[r]];var c=i.locToIndex(l);a.values[s]=i.values[c]}return a.toTensor()},e.prototype.batchToSpaceND=function(e,t,r){this.assertNotComplex([e],\"batchToSpaceND\");var n=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,n),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,n),s=getSliceBeginCoords(r,t.length),u=getSliceSize(i,r,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,r){this.assertNotComplex([e],\"spaceToBatchND\");var n=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,r);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,n,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,n,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,r){this.assertNotComplex(e,\"pool\");for(var n=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,p=\"max\"===r?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,d=e.dataSync(),h=buffer(t.outShape,e.dtype),f=h.values,m=t.outShape[1]*t.outShape[2]*t.outShape[3],g=t.outShape[2]*t.outShape[3],v=t.outShape[3],y=0;y<t.batchSize;++y)for(var x=y*m,T=y*e.strides[0],E=0;E<t.inChannels;++E)for(var w=0;w<t.outHeight;++w)for(var S=w*n-l,b=Math.max(0,S),C=Math.min(t.inHeight,s+S),_=x+w*g,A=0;A<t.outWidth;++A){for(var N=A*o-c,R=Math.max(0,N),I=Math.min(t.inWidth,u+N),k=p,D=0,M=0,O=b;O<C;O+=a){for(var P=T+O*e.strides[1],F=R;F<I;F+=i){var L=d[P+F*e.strides[2]+E];\"max\"===r&&L>k?k=L:\"avg\"===r&&(D+=L,M++)}if(isNaN(k))break}f[_+A*v+E]=\"avg\"===r?D/M:k}return h.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,\"max\")},e.prototype.maxPoolPositions=function(e,t){for(var r=buffer(t.outShape,\"int32\"),n=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,l=t.padInfo.top,c=t.padInfo.left,p=0;p<t.batchSize;++p)for(var d=0;d<t.inChannels;++d)for(var h=0;h<t.outHeight;++h){for(var f=h*n-l,m=f;m<0;)m+=a;for(var g=Math.min(t.inHeight,s+f),v=0;v<t.outWidth;++v){for(var y=v*o-c,x=y;x<0;)x+=i;for(var T=Math.min(t.inWidth,u+y),E=Number.NEGATIVE_INFINITY,w=-1,S=m;S<g;S+=a)for(var b=S-f,C=x;C<T;C+=i){var _=C-y,A=e.get(p,S,C,d);A>E&&(E=A,w=b*u+_)}r.set(w,p,h,v,d)}}return r.toTensor()},e.prototype.maxPoolBackprop=function(e,t,r,n){this.assertNotComplex([t,r],\"maxPoolBackprop\");for(var o=this.maxPoolPositions(t,n),a=n.strideHeight,i=n.strideWidth,s=n.dilationHeight,u=n.dilationWidth,l=n.effectiveFilterHeight,c=n.effectiveFilterWidth,p=c-1-n.padInfo.left,d=l-1-n.padInfo.top,h=buffer(t.shape,\"float32\"),f=0;f<n.batchSize;++f)for(var m=0;m<n.inChannels;++m)for(var g=0;g<n.inHeight;++g)for(var v=0;v<n.inWidth;++v){for(var y=g-d,x=v-p,T=0,E=0;E<l;E+=s){var w=(y+E)/a;if(!(w<0||w>=n.outHeight||Math.floor(w)!==w))for(var S=0;S<c;S+=u){var b=(x+S)/i;if(!(b<0||b>=n.outWidth||Math.floor(b)!==b)){var C=l*c-1-o.get(f,w,b,m)===E*c+S?1:0;if(0!==C)T+=e.get(f,w,b,m)*C}}}h.set(T,f,g,v,m)}return h.toTensor()},e.prototype.avgPoolBackprop=function(e,t,r){this.assertNotComplex([e,t],\"avgPoolBackprop\");for(var n=r.strideHeight,o=r.strideWidth,a=r.filterHeight,i=r.filterWidth,s=r.dilationHeight,u=r.dilationWidth,l=r.effectiveFilterHeight,c=r.effectiveFilterWidth,p=c-1-r.padInfo.left,d=l-1-r.padInfo.top,h=buffer(t.shape,\"float32\"),f=1/(a*i),m=0;m<r.batchSize;++m)for(var g=0;g<r.inChannels;++g)for(var v=0;v<r.inHeight;++v)for(var y=0;y<r.inWidth;++y){for(var x=v-d,T=y-p,E=0,w=0;w<l;w+=s){var S=(x+w)/n;if(!(S<0||S>=r.outHeight||Math.floor(S)!==S))for(var b=0;b<c;b+=u){var C=(T+b)/o;if(!(C<0||C>=r.outWidth||Math.floor(C)!==C))E+=e.get(m,S,C,g)}}h.set(E*f,m,v,y,g)}return h.toTensor()},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,\"avgPool\"),this.pool(e,t,\"avg\").toFloat()},e.prototype.resizeBilinear=function(e,t,r,n){this.assertNotComplex(e,\"resizeBilinear\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=e.dataSync(),c=new Float32Array(sizeFromShape([a,t,r,u])),p=[n&&t>1?i-1:i,n&&r>1?s-1:s],d=[n&&t>1?t-1:t,n&&r>1?r-1:r],h=0,f=p[0]/d[0],m=p[1]/d[1],g=0;g<a;g++)for(var v=0;v<t;v++)for(var y=f*v,x=Math.floor(y),T=y-x,E=Math.min(i-1,Math.ceil(y)),w=g*e.strides[0]+x*e.strides[1],S=g*e.strides[0]+E*e.strides[1],b=0;b<r;b++)for(var C=m*b,_=Math.floor(C),A=C-_,N=Math.min(s-1,Math.ceil(C)),R=w+_*e.strides[2],I=S+_*e.strides[2],k=w+ +N*e.strides[2],D=S+N*e.strides[2],M=0;M<u;M++){var O=l[R+M],P=l[I+M],F=O+(l[k+M]-O)*A,L=F+(P+(l[D+M]-P)*A-F)*T;c[h++]=L}return tensor(c,[a,t,r,u])},e.prototype.resizeBilinearBackprop=function(e,t,r){this.assertNotComplex([e,t],\"resizeBilinearBackprop\");for(var n=t.shape,o=n[0],a=n[1],i=n[2],s=n[3],u=e.shape,l=u[1],c=u[2],p=new Float32Array(o*a*i*s),d=[r&&l>1?a-1:a,r&&c>1?i-1:i],h=[r&&l>1?l-1:l,r&&c>1?c-1:c],f=d[0]/h[0],m=d[1]/h[1],g=e.dataSync(),v=0,y=0;y<o;y++)for(var x=y*t.strides[0],T=0;T<l;T++)for(var E=T*f,w=Math.floor(E),S=Math.min(Math.ceil(E),a-1),b=x+w*t.strides[1],C=x+S*t.strides[1],_=E-w,A=1-_,N=0;N<c;N++)for(var R=N*m,I=Math.floor(R),k=Math.min(Math.ceil(R),i-1),D=R-I,M=1-D,O=b+I*t.strides[2],P=b+k*t.strides[2],F=C+I*t.strides[2],L=C+k*t.strides[2],B=A*M,U=A*D,z=_*M,V=_*D,H=0;H<s;H++){var G=g[v++];p[O+H]+=G*B,p[P+H]+=G*U,p[F+H]+=G*z,p[L+H]+=G*V}return tensor4d(p,[o,i,a,s],t.dtype)},e.prototype.resizeNearestNeighbor=function(e,t,r,n){this.assertNotComplex(e,\"resizeNearestNeighbor\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=e.dataSync(),c=new Float32Array(a*t*r*u),p=[n&&t>1?i-1:i,n&&r>1?s-1:s],d=[n&&t>1?t-1:t,n&&r>1?r-1:r],h=p[0]/d[0],f=p[1]/d[1],m=0,g=0;g<a;g++)for(var v=g*e.strides[0],y=0;y<t;y++)for(var x=h*y,T=v+Math.min(i-1,n?Math.round(x):Math.floor(x))*e.strides[1],E=0;E<r;E++)for(var w=f*E,S=T+Math.min(s-1,n?Math.round(w):Math.floor(w))*e.strides[2],b=0;b<u;b++){var C=l[S+b];c[m++]=C}return tensor(c,[a,t,r,u],e.dtype)},e.prototype.resizeNearestNeighborBackprop=function(e,t,r){this.assertNotComplex([e,t],\"resizeNearestNeighborBackprop\");for(var n=t.shape,o=n[0],a=n[1],i=n[2],s=n[3],u=e.shape,l=u[1],c=u[2],p=new Float32Array(o*a*i*s),d=e.dataSync(),h=[r&&l>1?a-1:a,r&&c>1?i-1:i],f=[r&&l>1?l-1:l,r&&c>1?c-1:c],m=h[0]/f[0],g=h[1]/f[1],v=1/m,y=1/g,x=2*Math.ceil(v)+2,T=2*Math.ceil(y)+2,E=0;E<o;E++)for(var w=E*t.strides[0],S=0;S<a;S++)for(var b=w+S*t.strides[1],C=Math.floor(S*v),_=Math.floor(C-x/2),A=0;A<i;A++)for(var N=b+A*t.strides[2],R=Math.floor(A*y),I=Math.floor(R-T/2),k=0;k<s;k++){for(var D=0,M=0;M<x;M++){var O=M+_;if(!(O<0||O>=l)){var P=w+O*e.strides[1],F=O*m;if(S===Math.min(a-1,r?Math.round(F):Math.floor(F)))for(var L=0;L<T;L++){var B=L+I;if(!(B<0||B>=c)){var U=P+B*e.strides[2],z=B*g;A===Math.min(i-1,r?Math.round(z):Math.floor(z))&&(D+=d[U+k])}}}}p[N+k]=D}return tensor4d(p,t.shape,t.dtype)},e.prototype.batchNormalization=function(e,t,r,n,o,a){this.assertNotComplex([e,t,r,o,a],\"batchNormalization\");for(var i=e.dataSync(),s=t.dataSync(),u=r.dataSync(),l=o?o.dataSync():new Float32Array([1]),c=a?a.dataSync():new Float32Array([0]),p=new Float32Array(i.length),d=c.length,h=l.length,f=u.length,m=s.length,g=0,v=0,y=0,x=0,T=0;T<i.length;++T)p[T]=c[g++]+(i[T]-s[v++])*l[y++]/Math.sqrt(u[x++]+n),g>=d&&(g=0),v>=m&&(v=0),y>=h&&(y=0),x>=f&&(x=0);return tensor4d(p,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,r,n,o){this.assertNotComplex(e,\"localResponseNormalization4D\");var a=e.shape[3],i=a-1,s=e.dataSync(),u=sizeFromShape(e.shape),l=new Float32Array(u);function c(e){for(var r=e%a,n=e-r+Math.max(0,r-t),o=e-r+Math.min(r+t,i),u=0;n<=o;n++){var l=s[n];u+=l*l}return u}for(var p=0;p<u;p++){var d=c(p),h=s[p]*Math.pow(r+n*d,-o);l[p]=h}return tensor4d(l,e.shape)},e.prototype.LRNGrad=function(e,t,r,n,o,a,i){this.assertNotComplex(e,\"LRNGrad\");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=r.dataSync(),p=new Float32Array(sizeFromShape(e.shape)),d=sizeFromShape(e.shape),h=0;h<d;h++){for(var f=h%s,m=h-f+Math.max(0,f-n),g=h-f+Math.min(s,f+n+1),v=0,y=m;y<g;y++)v+=Math.pow(l[y],2);v=a*v+o;for(y=m;y<g;y++){var x=-2*a*i*l[y]*c[h]/v;h===y&&(x+=Math.pow(v,-i)),x*=u[h],p[y]+=x}}return tensor4d(p,e.shape)},e.prototype.multinomial=function(e,t,r,n){this.assertNotComplex(e,\"multinomial\");for(var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=zeros([a,r],\"int32\"),u=s.dataSync(),l=o.dataSync(),c=0;c<a;++c){var p=c*i,d=new Float32Array(i-1);d[0]=l[p];for(var h=1;h<d.length;++h)d[h]=d[h-1]+l[p+h];for(var f=seedrandom_1(n.toString()),m=c*r,g=0;g<r;++g){var v=f();u[m+g]=d.length;for(var y=0;y<d.length;y++)if(v<d[y]){u[m+g]=y;break}}}return s},e.prototype.oneHot=function(e,t,r,n){this.assertNotComplex(e,\"oneHot\");var o=new Float32Array(e.size*t);o.fill(n);for(var a=0;a<e.size;++a)e.get(a)>=0&&e.get(a)<t&&(o[a*t+e.get(a)]=r);return tensor2d(o,[e.size,t],\"int32\")},e.prototype.nonMaxSuppression=function(e,t,r,n,o){return this.assertNotComplex(e,\"nonMaxSuppression\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),r,n,o)},e.prototype.fft=function(e){if(1!==e.shape[0])throw new Error(\"tf.fft() on CPU only supports vectors.\");return this.fftImpl(e,!1)},e.prototype.ifft=function(e){if(1!==e.shape[0])throw new Error(\"tf.ifft() on CPU only supports vectors.\");return this.fftImpl(e,!0)},e.prototype.fftImpl=function(e,t){var r=e.as1D(),n=r.size;if(this.isExponentOf2(n)){var o=this.fftRadix2(r,n,t).as2D(e.shape[0],e.shape[1]);return t&&(o=complex(real(o).div(scalar(n)),imag(o).div(scalar(n)))),o}var a=e.dataSync(),i=splitRealAndImagArrays(this.fourierTransformByMatmul(a,n,t));return complex(i.real,i.imag).as2D(e.shape[0],e.shape[1])},e.prototype.isExponentOf2=function(e){return 0==(e&e-1)},e.prototype.fftRadix2=function(e,t,r){if(1===t)return e;var n=e.dataSync(),o=t/2,a=complexWithEvenIndex(n),i=complex(a.real,a.imag).as1D(),s=complexWithOddIndex(n),u=complex(s.real,s.imag).as1D();i=this.fftRadix2(i,o,r),u=this.fftRadix2(u,o,r);var l=exponents(t,r),c=complex(l.real,l.imag).mul(u),p=i.add(c),d=i.sub(c),h=real(p).concat(real(d)),f=imag(p).concat(imag(d));return complex(h,f).as1D()},e.prototype.fourierTransformByMatmul=function(e,t,r){for(var n=new Float32Array(2*t),o=0;o<t;o++){for(var a=0,i=0,s=0;s<t;s++){var u=exponent(o*s,t,r),l=getComplexWithIndex(e,s);a+=l.real*u.real-l.imag*u.imag,i+=l.real*u.imag+l.imag*u.real}r&&(a/=t,i/=t),assignToTypedArray(n,a,i,o)}return n},e.prototype.depthToSpace=function(e,t,r){assert(\"NHWC\"===r,\"Only NHWC dataFormat supported on CPU for depthToSpace. Got \"+r),assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);for(var n=e.shape[0],o=e.shape[1],a=e.shape[2],i=e.shape[3],s=o*t,u=a*t,l=i/(t*t),c=e.dataSync(),p=new Float32Array(n*s*u*l),d=0,h=0;h<n;++h)for(var f=0;f<s;++f)for(var m=Math.floor(f/t),g=f%t,v=0;v<u;++v)for(var y=Math.floor(v/t),x=(g*t+v%t)*l,T=0;T<l;++T){var E=T+x+i*(y+a*(m+o*h));p[d++]=c[E]}return tensor4d(p,[n,s,u,l])},e.prototype.broadcastedBinaryOp=function(e,t,r,n){var o=assertAndGetBroadcastShape(e.shape,t.shape),a=buffer(o,r),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,o),l=getBroadcastDims(t.shape,o),c=a.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=n(i[p%i.length],s[p%s.length]);else{var d=e.buffer(),h=t.buffer(),f=function(r){var o=a.indexToLoc(r),p=o.slice(-e.rank);u.forEach(function(e){return p[e]=0});var f=d.locToIndex(p),m=o.slice(-t.rank);l.forEach(function(e){return m[e]=0});var g=h.locToIndex(m);c[r]=n(i[f],s[g])};for(p=0;p<c.length;++p)f(p)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(e,t,r){var n=assertAndGetBroadcastShape(e.shape,t.shape),o=buffer(n,\"float32\"),a=buffer(n,\"float32\"),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,n),l=getBroadcastDims(t.shape,n),c=o.values,p=a.values;if(u.length+l.length===0)for(var d=0;d<c.length;d++){var h=d%i.length,f=d%s.length,m=r(i[2*h],i[2*h+1],s[2*f],s[2*f+1]);c[d]=m.real,p[d]=m.imag}else{var g=this.data.get(e.dataId).complexTensors.real.buffer(),v=this.data.get(t.dataId).complexTensors.real.buffer(),y=function(n){var a=o.indexToLoc(n),d=a.slice(-e.rank);u.forEach(function(e){return d[e]=0});var h=g.locToIndex(d),f=a.slice(-t.rank);l.forEach(function(e){return f[e]=0});var m=v.locToIndex(f),y=r(i[2*h],i[2*h+1],s[2*m],s[2*m+1]);c[n]=y.real,p[n]=y.imag};for(d=0;d<c.length;d++)y(d)}return this.complex(o.toTensor(),a.toTensor())},e.prototype.split=function(e,t,r){return split(e,t,r)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.cropAndResize=function(e,t,r,n,o,a){for(var i=e.shape,s=i[0],u=i[1],l=i[2],c=i[3],p=t.shape[0],d=n[0],h=n[1],f=buffer([p,d,h,c]),m=t.dataSync(),g=r.dataSync(),v=e.dataSync(),y=e.strides,x=f.strides,T=0;T<p;T++){var E=4*T,w=m[E],S=m[E+1],b=m[E+2],C=m[E+3],_=g[T];if(!(_>=s))for(var A=d>1?(b-w)*(u-1)/(d-1):0,N=h>1?(C-S)*(l-1)/(h-1):0,R=0;R<d;R++){var I=d>1?w*(u-1)+R*A:.5*(w+b)*(u-1);if(I<0||I>u-1)for(var k=0;k<h;k++)for(var D=0;D<c;D++){var M=D+k*x[2]+R*x[1]+T*x[0];f.values[M]=a}else if(\"bilinear\"===o){var O=Math.floor(I),P=Math.ceil(I),F=I-O;for(k=0;k<h;k++){if((q=h>1?S*(l-1)+k*N:.5*(S+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+k*x[2]+R*x[1]+T*x[0];f.values[M]=a}else{var L=Math.floor(q),B=Math.ceil(q),U=q-L;for(D=0;D<c;D++){var z=v[M=D+L*y[2]+O*y[1]+_*y[0]],V=v[M=D+B*y[2]+O*y[1]+_*y[0]],H=v[M=D+L*y[2]+P*y[1]+_*y[0]],G=z+(V-z)*U,W=H+(v[M=D+B*y[2]+P*y[1]+_*y[0]]-H)*U;M=D+k*x[2]+R*x[1]+T*x[0],f.values[M]=G+(W-G)*F}}}}else for(k=0;k<h;++k){var q;if((q=h>1?S*(l-1)+k*N:.5*(S+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+k*x[2]+R*x[1]+T*x[0];f.values[M]=a}else{var $=Math.round(q),X=Math.round(I);for(D=0;D<c;D++){var K=D+$*y[2]+X*y[1]+_*y[0],j=D+k*x[2]+R*x[1]+T*x[0];f.values[j]=v[K]}}}}}return f.toTensor()},e.prototype.sparseToDense=function(e,t,r,n){var o=calculateShapes(t,e,r),a=o.sliceRank,i=o.numUpdates,s=o.sliceSize,u=o.strides,l=o.outputSize;return this.scatter(e,t,r,l,s,i,a,u,n,!1)},e.prototype.gatherND=function(e,t){var r=t.shape,n=r[r.length-1],o=prepareAndValidate(e,t),a=o[0],i=o[1],s=o[2],u=o[3];if(0===i)return tensor([],a,e.dtype);for(var l=new TensorBuffer([i,s],e.dtype),c=t.dataSync(),p=e.dataSync(),d=0;d<i;d++){for(var h=[],f=0,m=0;m<n;m++){var g=c[d*n+m];f+=g*u[m],h.push(g)}if(f<0||f>=e.size/s)throw new Error(\"Invalid indices: \"+h+\" does not index into \"+e.shape);for(var v=0;v<s;v++)l.values[d*s+v]=p[f*s+v]}return l.toTensor().reshape(a)},e.prototype.scatterND=function(e,t,r){var n=calculateShapes(t,e,r),o=n.sliceRank,a=n.numUpdates,i=n.sliceSize,s=n.strides,u=n.outputSize,l=scalar(0);return this.scatter(e,t,r,u,i,a,o,s,l,!0)},e.prototype.scatter=function(e,t,r,n,o,a,i,s,u,l){var c=[n/o,o],p=e.dataSync(),d=t.dataSync();if(0===n)return tensor([],r,t.dtype);var h=new TensorBuffer(c,t.dtype);h.values.fill(u.dataSync()[0]);for(var f=0;f<a;f++){for(var m=[],g=0,v=0;v<i;v++){var y=p[f*i+v];m.push(y),g+=y*s[v]}if(g<0||g>=n/o)throw new Error(\"Invalid indices: \"+m+\" does not index into \"+r);for(var x=0;x<o;x++)l?h.values[g*o+x]+=d[f*o+x]:h.values[g*o+x]=0===t.rank?d[0]:d[f*o+x]}return h.toTensor().reshape(r)},e}();ENV.registerBackend(\"cpu\",function(){return new MathBackendCPU},1,setTensorTracker);var delayCallback=\"undefined\"!=typeof requestAnimationFrame?requestAnimationFrame:setImmediate;function nextFrame(){return new Promise(function(e){return delayCallback(function(){return e()})})}var DTYPE_VALUE_SIZE_MAP={float32:4,int32:4,uint16:2,uint8:1,bool:1};function encodeWeights(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o;return __generator(this,function(a){switch(a.label){case 0:for(n in t=[],r=[],e){if(\"float32\"!==(o=e[n]).dtype&&\"int32\"!==o.dtype&&\"bool\"!==o.dtype)throw new Error(\"Unsupported dtype in weight '\"+n+\"': \"+o.dtype);t.push({name:n,shape:o.shape,dtype:o.dtype}),r.push(o.data())}return[4,Promise.all(r)];case 1:return[2,{data:concatenateTypedArrays(a.sent()),specs:t}]}})})}function decodeWeights(e,t){for(var r={},n=0,o=function(t){var o=t.name,a=t.dtype,i=t.shape,s=sizeFromShape(i),u=void 0;if(\"quantization\"in t){var l=t.quantization;if(\"uint8\"!==l.dtype&&\"uint16\"!==l.dtype)throw new Error(\"Weight \"+t.name+\" has unknown quantization dtype \"+l.dtype+\". Supported quantization dtypes are: 'uint8' and 'uint16'.\");var c=DTYPE_VALUE_SIZE_MAP[l.dtype],p=e.slice(n,n+s*c),d=\"uint8\"===l.dtype?new Uint8Array(p):new Uint16Array(p);if(\"float32\"===a)u=Float32Array.from(d,function(e){return e*l.scale+l.min});else{if(\"int32\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=Int32Array.from(d,function(e){return Math.round(e*l.scale+l.min)})}n+=s*c}else{var h=DTYPE_VALUE_SIZE_MAP[a];p=e.slice(n,n+s*h);if(\"float32\"===a)u=new Float32Array(p);else if(\"int32\"===a)u=new Int32Array(p);else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=new Uint8Array(p)}n+=s*h}var f=void 0;if(\"float32\"===a)f=tensor(u,i,\"float32\");else if(\"int32\"===a)f=tensor(u,i,\"int32\");else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);f=tensor(u,i,\"bool\")}r[o]=f},a=0,i=t;a<i.length;a++){o(i[a])}return r}function concatenateTypedArrays(e){if(null===e)throw new Error(\"Invalid input value: \"+JSON.stringify(e));var t=0,r=[];e.forEach(function(e){if(t+=e.byteLength,r.push(e.byteLength===e.buffer.byteLength?e:new e.constructor(e)),!(e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array))throw new Error(\"Unsupported TypedArray subtype: \"+e.constructor.name)});var n=new Uint8Array(t),o=0;return r.forEach(function(e){n.set(new Uint8Array(e.buffer),o),o+=e.byteLength}),n.buffer}var useNodeBuffer=\"undefined\"!=typeof Buffer&&(\"undefined\"==typeof Blob||\"undefined\"==typeof atob||\"undefined\"==typeof btoa);function stringByteLength(e){return useNodeBuffer?Buffer.byteLength(e):new Blob([e]).size}function arrayBufferToBase64String(e){return useNodeBuffer?Buffer.from(e).toString(\"base64\"):btoa(String.fromCharCode.apply(null,new Uint8Array(e)))}function base64StringToArrayBuffer(e){if(useNodeBuffer){var t=Buffer.from(e,\"base64\");return t.buffer.slice(t.byteOffset,t.byteOffset+t.byteLength)}for(var r=atob(e),n=new Uint8Array(r.length),o=0;o<r.length;++o)n.set([r.charCodeAt(o)],o);return n.buffer}function concatenateArrayBuffers(e){var t=0;e.forEach(function(e){t+=e.byteLength});var r=new Uint8Array(t),n=0;return e.forEach(function(e){r.set(new Uint8Array(e),n),n+=e.byteLength}),r.buffer}function basename(e){for(e=e.trim();e.endsWith(\"/\");)e=e.slice(0,e.length-1);var t=e.split(\"/\");return t[t.length-1]}function getModelArtifactsInfoForJSON(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:null==e.modelTopology?0:stringByteLength(JSON.stringify(e.modelTopology)),weightSpecsBytes:null==e.weightSpecs?0:stringByteLength(JSON.stringify(e.weightSpecs)),weightDataBytes:null==e.weightData?0:e.weightData.byteLength}}var IORouterRegistry=function(){function e(){this.saveRouters=[],this.loadRouters=[]}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerSaveRouter=function(t){e.getInstance().saveRouters.push(t)},e.registerLoadRouter=function(t){e.getInstance().loadRouters.push(t)},e.getSaveHandlers=function(t){return e.getHandlers(t,\"save\")},e.getLoadHandlers=function(t){return e.getHandlers(t,\"load\")},e.getHandlers=function(e,t){var r=[];return(\"load\"===t?this.getInstance().loadRouters:this.getInstance().saveRouters).forEach(function(t){var n=t(e);null!==n&&r.push(n)}),r},e}(),URL_SCHEME_SUFFIX=\"://\",ModelStoreManagerRegistry=function(){function e(){this.managers={}}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerManager=function(t,r){assert(null!=t,\"scheme must not be undefined or null.\"),t.endsWith(URL_SCHEME_SUFFIX)&&(t=t.slice(0,t.indexOf(URL_SCHEME_SUFFIX))),assert(t.length>0,\"scheme must not be an empty string.\");var n=e.getInstance();assert(null==n.managers[t],\"A model store manager is already registered for scheme '\"+t+\"'.\"),n.managers[t]=r},e.getManager=function(e){var t=this.getInstance().managers[e];if(null==t)throw new Error(\"Cannot find model manager for scheme '\"+e+\"'\");return t},e.getSchemes=function(){return Object.keys(this.getInstance().managers)},e}();function parseURL(e){if(-1===e.indexOf(URL_SCHEME_SUFFIX))throw new Error(\"The url string provided does not contain a scheme. Supported schemes are: \"+ModelStoreManagerRegistry.getSchemes().join(\",\"));return{scheme:e.split(URL_SCHEME_SUFFIX)[0],path:e.split(URL_SCHEME_SUFFIX)[1]}}function cloneModelInternal(e,t,r){return void 0===r&&(r=!1),__awaiter(this,void 0,void 0,function(){var n,o,a,i,s,u,l,c,p;return __generator(this,function(d){switch(d.label){case 0:return assert(e!==t,\"Old path and new path are the same: '\"+e+\"'\"),assert((n=IORouterRegistry.getLoadHandlers(e)).length>0,\"Copying failed because no load handler is found for source URL \"+e+\".\"),assert(n.length<2,\"Copying failed because more than one (\"+n.length+\") load handlers for source URL \"+e+\".\"),o=n[0],assert((a=IORouterRegistry.getSaveHandlers(t)).length>0,\"Copying failed because no save handler is found for destination URL \"+t+\".\"),assert(a.length<2,\"Copying failed because more than one (\"+n.length+\") save handlers for destination URL \"+t+\".\"),i=a[0],s=parseURL(e).scheme,u=parseURL(e).path,l=s===parseURL(e).scheme,[4,o.load()];case 1:return c=d.sent(),r&&l?[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)]:[3,3];case 2:d.sent(),d.label=3;case 3:return[4,i.save(c)];case 4:return p=d.sent(),!r||l?[3,6]:[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:d.sent(),d.label=6;case 6:return[2,p.modelArtifactsInfo]}})})}function listModels(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a,i;return __generator(this,function(s){switch(s.label){case 0:e=ModelStoreManagerRegistry.getSchemes(),t={},r=0,n=e,s.label=1;case 1:return r<n.length?(o=n[r],[4,ModelStoreManagerRegistry.getManager(o).listModels()]):[3,4];case 2:for(i in a=s.sent())t[o+URL_SCHEME_SUFFIX+i]=a[i];s.label=3;case 3:return r++,[3,1];case 4:return[2,t]}})})}function removeModel(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(r){switch(r.label){case 0:return t=parseURL(e),[4,ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:return[2,r.sent()]}})})}function copyModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(r){switch(r.label){case 0:return[4,cloneModelInternal(e,t,!1)];case 1:return[2,r.sent()]}})})}function moveModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(r){switch(r.label){case 0:return[4,cloneModelInternal(e,t,!0)];case 1:return[2,r.sent()]}})})}var DATABASE_NAME=\"tensorflowjs\",DATABASE_VERSION=1,MODEL_STORE_NAME=\"models_store\",INFO_STORE_NAME=\"model_info_store\";function getIndexedDBFactory(){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");var e=window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function setUpDatabase(e){var t=e.result;t.createObjectStore(MODEL_STORE_NAME,{keyPath:\"modelPath\"}),t.createObjectStore(INFO_STORE_NAME,{keyPath:\"modelPath\"})}var BrowserIndexedDB=function(){function e(e){if(this.indexedDB=getIndexedDBFactory(),null==e||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return[2,this.databaseAction(this.modelPath,e)]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,this.databaseAction(this.modelPath)]})})},e.prototype.databaseAction=function(e,t){var r=this;return new Promise(function(e,n){var o=r.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var a=o.result;if(null==t){var i=a.transaction(MODEL_STORE_NAME,\"readonly\"),s=i.objectStore(MODEL_STORE_NAME).get(r.modelPath);s.onsuccess=function(){if(null==s.result)return a.close(),n(new Error(\"Cannot find model with path '\"+r.modelPath+\"' in IndexedDB.\"));e(s.result.modelArtifacts)},s.onerror=function(e){return a.close(),n(s.error)},i.oncomplete=function(){return a.close()}}else{var u,l=getModelArtifactsInfoForJSON(t),c=a.transaction(INFO_STORE_NAME,\"readwrite\"),p=c.objectStore(INFO_STORE_NAME),d=p.put({modelPath:r.modelPath,modelArtifactsInfo:l});d.onsuccess=function(){var o=(u=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).put({modelPath:r.modelPath,modelArtifacts:t,modelArtifactsInfo:l});o.onsuccess=function(){return e({modelArtifactsInfo:l})},o.onerror=function(e){var t=(p=c.objectStore(INFO_STORE_NAME)).delete(r.modelPath);t.onsuccess=function(){return a.close(),n(o.error)},t.onerror=function(e){return a.close(),n(o.error)}}},d.onerror=function(e){return a.close(),n(d.error)},c.oncomplete=function(){null==u?a.close():u.oncomplete=function(){return a.close()}}}},o.onerror=function(e){return n(o.error)}})},e.URL_SCHEME=\"indexeddb://\",e}(),indexedDBRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserIndexedDB.URL_SCHEME)?browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)):null};function browserIndexedDB(e){return new BrowserIndexedDB(e)}function maybeStripScheme(e){return e.startsWith(BrowserIndexedDB.URL_SCHEME)?e.slice(BrowserIndexedDB.URL_SCHEME.length):e}IORouterRegistry.registerSaveRouter(indexedDBRouter),IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager=function(){function e(){this.indexedDB=getIndexedDBFactory()}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e=this;return __generator(this,function(t){return[2,new Promise(function(t,r){var n=e.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);n.onupgradeneeded=function(){return setUpDatabase(n)},n.onsuccess=function(){var e=n.result,o=e.transaction(INFO_STORE_NAME,\"readonly\"),a=o.objectStore(INFO_STORE_NAME).getAll();a.onsuccess=function(){for(var e={},r=0,n=a.result;r<n.length;r++){var o=n[r];e[o.modelPath]=o.modelArtifactsInfo}t(e)},a.onerror=function(t){return e.close(),r(a.error)},o.oncomplete=function(){return e.close()}},n.onerror=function(e){return r(n.error)}})]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(r){return e=maybeStripScheme(e),[2,new Promise(function(r,n){var o=t.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var t,a=o.result,i=a.transaction(INFO_STORE_NAME,\"readwrite\"),s=i.objectStore(INFO_STORE_NAME),u=s.get(e);u.onsuccess=function(){if(null==u.result)return a.close(),n(new Error(\"Cannot find model with path '\"+e+\"' in IndexedDB.\"));var o=s.delete(e),i=function(){var o=(t=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).delete(e);o.onsuccess=function(){return r(u.result.modelArtifactsInfo)},o.onerror=function(e){return n(u.error)}};o.onsuccess=i,o.onerror=function(e){return i(),a.close(),n(u.error)}},u.onerror=function(e){return a.close(),n(u.error)},i.oncomplete=function(){null==t?a.close():t.oncomplete=function(){return a.close()}}},o.onerror=function(e){return n(o.error)}})]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME,new BrowserIndexedDBManager)}catch(e){}var PATH_SEPARATOR=\"/\",PATH_PREFIX=\"tensorflowjs_models\",INFO_SUFFIX=\"info\",MODEL_TOPOLOGY_SUFFIX=\"model_topology\",WEIGHT_SPECS_SUFFIX=\"weight_specs\",WEIGHT_DATA_SUFFIX=\"weight_data\";function getModelKeys(e){return{info:[PATH_PREFIX,e,INFO_SUFFIX].join(PATH_SEPARATOR),topology:[PATH_PREFIX,e,MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),weightSpecs:[PATH_PREFIX,e,WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),weightData:[PATH_PREFIX,e,WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR)}}function getModelPathFromKey(e){var t=e.split(PATH_SEPARATOR);if(t.length<3)throw new Error(\"Invalid key format: \"+e);return t.slice(1,t.length-1).join(PATH_SEPARATOR)}function maybeStripScheme$1(e){return e.startsWith(BrowserLocalStorage.URL_SCHEME)?e.slice(BrowserLocalStorage.URL_SCHEME.length):e}var BrowserLocalStorage=function(){function e(e){if(!ENV.get(\"IS_BROWSER\")||void 0===window.localStorage)throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,null==e||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=getModelKeys(this.modelPath)}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o;return __generator(this,function(a){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");t=JSON.stringify(e.modelTopology),r=JSON.stringify(e.weightSpecs),n=getModelArtifactsInfoForJSON(e);try{return this.LS.setItem(this.keys.info,JSON.stringify(n)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,r),this.LS.setItem(this.keys.weightData,arrayBufferToBase64String(e.weightData)),[2,{modelArtifactsInfo:n}]}catch(e){for(o in this.keys)this.LS.removeItem(this.keys[o]);throw new Error(\"Failed to save model '\"+this.modelPath+\"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=\"+n.modelTopologyBytes+\", weightSpecsBytes=\"+n.weightSpecsBytes+\", weightDataBytes=\"+n.weightDataBytes+\".\")}return[2]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o;return __generator(this,function(a){if(null==(e=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error(\"In local storage, there is no model with name '\"+this.modelPath+\"'\");if(\"JSON\"!==e.modelTopologyType)throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");if(t={},null==(r=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error(\"In local storage, the topology of model '\"+this.modelPath+\"' is missing.\");if(t.modelTopology=r,null==(n=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error(\"In local storage, the weight specs of model '\"+this.modelPath+\"' are missing.\");if(t.weightSpecs=n,null==(o=this.LS.getItem(this.keys.weightData)))throw new Error(\"In local storage, the binary weight values of model '\"+this.modelPath+\"' are missing.\");return t.weightData=base64StringToArrayBuffer(o),[2,t]})})},e.URL_SCHEME=\"localstorage://\",e}(),localStorageRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserLocalStorage.URL_SCHEME)?browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)):null};function browserLocalStorage(e){return new BrowserLocalStorage(e)}IORouterRegistry.registerSaveRouter(localStorageRouter),IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager=function(){function e(){assert(ENV.get(\"IS_BROWSER\"),\"Current environment is not a web browser\"),assert(void 0!==window.localStorage,\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a;return __generator(this,function(i){for(e={},t=PATH_PREFIX+PATH_SEPARATOR,r=PATH_SEPARATOR+INFO_SUFFIX,n=0;n<this.LS.length;++n)(o=this.LS.key(n)).startsWith(t)&&o.endsWith(r)&&(a=getModelPathFromKey(o),e[a]=JSON.parse(this.LS.getItem(o)));return[2,e]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){if(e=maybeStripScheme$1(e),t=getModelKeys(e),null==this.LS.getItem(t.info))throw new Error(\"Cannot find model at path '\"+e+\"'\");return r=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,r]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME,new BrowserLocalStorageManager)}catch(e){}var DEFAULT_FILE_NAME_PREFIX=\"model\",DEFAULT_JSON_EXTENSION_NAME=\".json\",DEFAULT_WEIGHT_DATA_EXTENSION_NAME=\".weights.bin\",BrowserDownloads=function(){function e(t){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"triggerDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t=DEFAULT_FILE_NAME_PREFIX),this.modelTopologyFileName=t+DEFAULT_JSON_EXTENSION_NAME,this.weightDataFileName=t+DEFAULT_WEIGHT_DATA_EXTENSION_NAME}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i;return __generator(this,function(s){if(t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"})),e.modelTopology instanceof ArrayBuffer)throw new Error(\"DownloadTrigger.save() does not support saving model topology in binary formats yet.\");return r=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],n={modelTopology:e.modelTopology,weightsManifest:r},o=window.URL.createObjectURL(new Blob([JSON.stringify(n)],{type:\"application/json\"})),(a=null==this.jsonAnchor?document.createElement(\"a\"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=o,a.click(),null!=e.weightData&&((i=null==this.weightDataAnchor?document.createElement(\"a\"):this.weightDataAnchor).download=this.weightDataFileName,i.href=t,i.click()),[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e)}]})})},e.URL_SCHEME=\"downloads://\",e}(),BrowserFiles=function(){function e(e){if(null==e||e.length<1)throw new Error(\"When calling browserFiles, at least 1 file is required, but received \"+e);this.files=e}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r=this;return __generator(this,function(n){return e=this.files[0],t=this.files.slice(1),[2,new Promise(function(n,o){var a=new FileReader;a.onload=function(a){var i=JSON.parse(a.target.result),s=i.modelTopology;if(null!=s){0===t.length&&n({modelTopology:s});var u=i.weightsManifest;if(null!=u){var l;try{l=r.checkManifestAndWeightFiles(u,t)}catch(e){return void o(e)}var c=[],p=[],d=[];u.forEach(function(e){e.paths.forEach(function(e){p.push(e),d.push(null)}),c.push.apply(c,e.weights)}),u.forEach(function(e){e.paths.forEach(function(e){var t=new FileReader;t.onload=function(t){var r=t.target.result,o=p.indexOf(e);d[o]=r,-1===d.indexOf(null)&&n({modelTopology:s,weightSpecs:c,weightData:concatenateArrayBuffers(d)})},t.onerror=function(t){o(\"Failed to weights data from file of path '\"+e+\"'.\")},t.readAsArrayBuffer(l[e])})})}else o(new Error(\"weightManifest field is missing from file \"+e.name))}else o(new Error(\"modelTopology field is missing from file \"+e.name))},a.onerror=function(t){o(\"Failed to read model topology and weights manifest JSON from file '\"+e.name+\"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.\")},a.readAsText(e)})]})})},e.prototype.checkManifestAndWeightFiles=function(e,t){for(var r=[],n=t.map(function(e){return basename(e.name)}),o={},a=0,i=e;a<i.length;a++){i[a].paths.forEach(function(e){var a=basename(e);if(-1!==r.indexOf(a))throw new Error(\"Duplicate file basename found in weights manifest: '\"+a+\"'\");if(r.push(a),-1===n.indexOf(a))throw new Error(\"Weight file with basename '\"+a+\"' is not provided.\");o[e]=t[n.indexOf(a)]})}if(r.length!==t.length)throw new Error(\"Mismatch in the number of files in weights manifest (\"+r.length+\") and the number of weight files provided (\"+t.length+\").\");return o},e}(),browserDownloadsRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserDownloads.URL_SCHEME)?browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)):null};function browserDownloads(e){return void 0===e&&(e=\"model\"),new BrowserDownloads(e)}function browserFiles(e){return new BrowserFiles(e)}function loadWeightsAsArrayBuffer(e,t){return __awaiter(this,void 0,void 0,function(){var r,n;return __generator(this,function(o){switch(o.label){case 0:return r=e.map(function(e){return fetch(e,t)}),[4,Promise.all(r)];case 1:return n=o.sent(),[4,Promise.all(n.map(function(e){return e.arrayBuffer()}))];case 2:return[2,o.sent()]}})})}function loadWeights(e,t,r,n){return void 0===t&&(t=\"\"),__awaiter(this,void 0,void 0,function(){var o,a,i,s,u,l,c,p,d,h;return __generator(this,function(f){switch(f.label){case 0:if(o=e.map(function(){return!1}),a={},i=null!=r?r.map(function(){return!1}):[],s=[],e.forEach(function(e,t){var n=0;e.weights.forEach(function(e){var u=\"quantization\"in e?e.quantization.dtype:e.dtype,l=DTYPE_VALUE_SIZE_MAP[u]*sizeFromShape(e.shape),c=function(){o[t]=!0,null==a[t]&&(a[t]=[]),a[t].push({manifestEntry:e,groupOffset:n,sizeBytes:l})};null!=r?r.forEach(function(t,r){t===e.name&&(c(),i[r]=!0)}):c(),s.push(e.name),n+=l})}),!i.every(function(e){return e}))throw u=r.filter(function(e,t){return!i[t]}),new Error(\"Could not find weights in manifest with names: \"+u.join(\", \")+\". \\nManifest JSON has weights with names: \"+s.join(\", \")+\".\");return l=o.reduce(function(e,t,r){return t&&e.push(r),e},[]),c=[],l.forEach(function(r){e[r].paths.forEach(function(e){var r=t+(t.endsWith(\"/\")?\"\":\"/\")+e;c.push(r)})}),[4,loadWeightsAsArrayBuffer(c,n)];case 1:return p=f.sent(),d={},h=0,l.forEach(function(t){for(var r=e[t].paths.length,n=0,o=0;o<r;o++)n+=p[h+o].byteLength;for(var i=new ArrayBuffer(n),s=new Uint8Array(i),u=0,l=0;l<r;l++){var c=new Uint8Array(p[h+l]);s.set(c,u),u+=c.byteLength}a[t].forEach(function(e){var t=decodeWeights(i.slice(e.groupOffset,e.groupOffset+e.sizeBytes),[e.manifestEntry]);for(var r in t)d[r]=t[r]}),h+=r}),[2,d]}})})}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest=function(){function e(e,t,r){if(this.weightPathPrefix=r,this.DEFAULT_METHOD=\"POST\",\"undefined\"==typeof fetch)throw new Error(\"browserHTTPRequest is not supported outside the web browser without a fetch polyfill.\");if(assert(null!=e&&e.length>0,\"URL path for browserHTTPRequest must not be null, undefined or empty.\"),Array.isArray(e)&&assert(2===e.length,\"URL paths for browserHTTPRequest must have a length of 2, (actual length is \"+e.length+\").\"),this.path=e,null!=t&&null!=t.body)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t||{}}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o;return __generator(this,function(a){switch(a.label){case 0:if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");return(t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,r=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],n={modelTopology:e.modelTopology,weightsManifest:r},t.body.append(\"model.json\",new Blob([JSON.stringify(n)],{type:\"application/json\"}),\"model.json\"),null!=e.weightData&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:\"application/octet-stream\"}),\"model.weights.bin\"),[4,fetch(this.path,t)];case 1:if((o=a.sent()).ok)return[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e),responses:[o]}];throw new Error(\"BrowserHTTPRequest.save() failed due to HTTP response status \"+o.status+\".\")}})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,Array.isArray(this.path)?this.loadBinaryModel():this.loadJSONModel()]})})},e.prototype.loadBinaryTopology=function(){return __awaiter(this,void 0,void 0,function(){var e,t;return __generator(this,function(r){switch(r.label){case 0:return r.trys.push([0,3,,4]),[4,fetch(this.path[0],this.requestInit)];case 1:if(!(e=r.sent()).ok)throw new Error(\"BrowserHTTPRequest.load() failed due to HTTP response: \"+e.statusText);return[4,e.arrayBuffer()];case 2:return[2,r.sent()];case 3:throw t=r.sent(),new Error(this.path[0]+\" not found. \"+t);case 4:return[2]}})})},e.prototype.loadBinaryModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return e=this.loadBinaryTopology(),[4,fetch(this.path[1],this.requestInit)];case 1:if(!(t=u.sent()).ok)throw new Error(\"BrowserHTTPRequest.load() failed due to HTTP response: \"+t.statusText);return[4,Promise.all([e,t])];case 2:return r=u.sent(),n=r[0],[4,r[1].json()];case 3:return null==(o=u.sent())?[3,5]:[4,this.loadWeights(o)];case 4:s=u.sent(),a=s[0],i=s[1],u.label=5;case 5:return[2,{modelTopology:n,weightSpecs:a,weightData:i}]}})})},e.prototype.loadJSONModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,r,n,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return[4,fetch(this.path,this.requestInit)];case 1:if(!(e=u.sent()).ok)throw new Error(\"BrowserHTTPRequest.load() failed due to HTTP response: \"+e.statusText);return[4,e.json()];case 2:if(t=u.sent(),r=t.modelTopology,n=t.weightsManifest,null==r&&null==n)throw new Error(\"The JSON from HTTP path \"+this.path+\" contains neither model topology or manifest for weights.\");return null==n?[3,4]:(i=t.weightsManifest,[4,this.loadWeights(i)]);case 3:s=u.sent(),o=s[0],a=s[1],u.label=4;case 4:return[2,{modelTopology:r,weightSpecs:o,weightData:a}]}})})},e.prototype.loadWeights=function(e){return __awaiter(this,void 0,void 0,function(){var t,r,n,o,a,i,s,u,l,c,p,d;return __generator(this,function(h){switch(h.label){case 0:for(t=Array.isArray(this.path)?this.path[1]:this.path,r=parseUrl(t),n=r[0],o=r[1],a=this.weightPathPrefix||n,i=[],s=0,u=e;s<u.length;s++)l=u[s],i.push.apply(i,l.weights);return c=[],e.forEach(function(e){e.paths.forEach(function(e){c.push(a+e+o)})}),p=[i],d=concatenateArrayBuffers,[4,loadWeightsAsArrayBuffer(c,this.requestInit)];case 1:return[2,p.concat([d.apply(void 0,[h.sent()])])]}})})},e.URL_SCHEME_REGEX=/^https?:\\/\\//,e}();function parseUrl(e){var t=e.lastIndexOf(\"/\"),r=e.lastIndexOf(\"?\");return[e.substring(0,t)+\"/\",r>t?e.substring(r):\"\"]}function isHTTPScheme(e){return null!=e.match(BrowserHTTPRequest.URL_SCHEME_REGEX)}var httpRequestRouter=function(e){if(\"undefined\"==typeof fetch)return null;return(Array.isArray(e)?e.every(function(e){return isHTTPScheme(e)}):isHTTPScheme(e))?browserHTTPRequest(e):null};function browserHTTPRequest(e,t,r){return new BrowserHTTPRequest(e,t,r)}IORouterRegistry.registerSaveRouter(httpRequestRouter),IORouterRegistry.registerLoadRouter(httpRequestRouter);var PassthroughLoader=function(){function e(e,t,r){this.modelTopology=e,this.weightSpecs=t,this.weightData=r}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e;return __generator(this,function(t){return e={},null!=this.modelTopology&&(e=__assign({modelTopology:this.modelTopology},e)),null!=this.weightSpecs&&this.weightSpecs.length>0&&(e=__assign({weightSpecs:this.weightSpecs},e)),null!=this.weightData&&this.weightData.byteLength>0&&(e=__assign({weightData:this.weightData},e)),[2,e]})})},e}(),PassthroughSaver=function(){function e(e){this.saveHandler=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.saveHandler(e)]})})},e}();function fromMemory(e,t,r){return new PassthroughLoader(e,t,r)}function withSaveHandler(e){return new PassthroughSaver(e)}var registerSaveRouter=IORouterRegistry.registerSaveRouter,registerLoadRouter=IORouterRegistry.registerLoadRouter,getSaveHandlers=IORouterRegistry.getSaveHandlers,getLoadHandlers=IORouterRegistry.getLoadHandlers,io=Object.freeze({browserFiles:browserFiles,browserHTTPRequest:browserHTTPRequest,concatenateArrayBuffers:concatenateArrayBuffers,decodeWeights:decodeWeights,encodeWeights:encodeWeights,fromMemory:fromMemory,getLoadHandlers:getLoadHandlers,getModelArtifactsInfoForJSON:getModelArtifactsInfoForJSON,getSaveHandlers:getSaveHandlers,loadWeights:loadWeights,registerLoadRouter:registerLoadRouter,registerSaveRouter:registerSaveRouter,withSaveHandler:withSaveHandler,copyModel:copyModel,listModels:listModels,moveModel:moveModel,removeModel:removeModel});function confusionMatrix_(e,t,r){var n=convertToTensor(e,\"label\",\"confusionMatrix\",\"int32\"),o=convertToTensor(t,\"label\",\"confusionMatrix\",\"int32\");assert(null==r||r>0&&Number.isInteger(r),\"If provided, numClasses must be a positive integer, but got \"+r),assert(1===n.rank,\"Expected the rank of labels to be 1, but got \"+n.rank),assert(1===o.rank,\"Expected the rank of predictions to be 1, but got \"+o.rank),assert(n.shape[0]===o.shape[0],\"Mismatch in the number of examples: \"+n.shape[0]+\" vs. \"+o.shape[0]+\". Labels and predictions should have the same number of elements.\"),assert(r>0&&Number.isInteger(r),\"numClasses is required to be a positive integer, but got \"+r);var a=oneHot(n.asType(\"int32\"),r),i=oneHot(o.asType(\"int32\"),r);return a.transpose().matMul(i).asType(\"int32\")}var confusionMatrix=op({confusionMatrix_:confusionMatrix_}),math=Object.freeze({confusionMatrix:confusionMatrix}),Serializable=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),SerializationMap=function(){function e(){this.classNameMap={}}return e.getMap=function(){return null==e.instance&&(e.instance=new e),e.instance},e.register=function(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]},e}();function registerClass(e){assert(null!=e.className,\"Class being registered does not have the static className property defined.\"),assert(\"string\"==typeof e.className,\"className is required to be a string, but got type \"+typeof e.className),assert(e.className.length>0,\"Class being registered has an empty-string as its className, which is disallowed.\"),SerializationMap.register(e)}var serialization=Object.freeze({Serializable:Serializable,SerializationMap:SerializationMap,registerClass:registerClass}),WEBGL_ENVS={HAS_WEBGL:!0},NODE_ENVS={IS_NODE:!0},CHROME_ENVS={IS_CHROME:!0},BROWSER_ENVS={IS_BROWSER:!0},CPU_ENVS={HAS_WEBGL:!1},BROWSER_CPU_ENVS={BACKEND:\"test-cpu\"},ALL_ENVS={};function expectArraysClose(e,t,r){if(null==r&&(r=ENV.get(\"TEST_EPSILON\")),e instanceof Tensor||t instanceof Tensor){if(e instanceof Tensor&&t instanceof Tensor){if(e.dtype!==t.dtype)throw new Error(\"Arrays are of different type actual: \"+e.dtype+\" vs expected: \"+t.dtype+\".\");if(!arraysEqual(e.shape,t.shape))throw new Error(\"Arrays are of different shape actual: \"+e.shape+\" vs expected: \"+t.shape+\".\")}}else{var n=e.constructor.name,o=t.constructor.name;if(n!==o)throw new Error(\"Arrays are of different type actual: \"+n+\" vs expected: \"+o)}var a,i;if(a=e instanceof Tensor?e.dataSync():e,i=t instanceof Tensor?t.dataSync():t,a.length!==i.length)throw new Error(\"Arrays have different lengths actual: \"+a.length+\" vs expected: \"+i.length+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\");for(var s=0;s<i.length;++s){var u=a[s],l=i[s];if(!areClose(u,Number(l),r))throw new Error(\"Arrays differ: actual[\"+s+\"] = \"+u+\", expected[\"+s+\"] = \"+l+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\")}}function expectPromiseToFail(e,t){e().then(function(){return t.fail()},function(){return t()})}function expectArraysEqual(e,t){return expectArraysClose(e,t,0)}function expectNumbersClose(e,t,r){if(null==r&&(r=ENV.get(\"TEST_EPSILON\")),!areClose(e,t,r))throw new Error(\"Numbers differ: actual === \"+e+\", expected === \"+t)}function areClose(e,t,r){return!(!isNaN(e)||!isNaN(t))||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>r)}function expectValuesInRange(e,t,r){var n;n=e instanceof Tensor?e.dataSync():e;for(var o=0;o<n.length;o++)if(n[o]<t||n[o]>r)throw new Error(\"Value out of range:\"+n[o]+\" low: \"+t+\", high: \"+r)}function expectArrayBuffersEqual(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}var test_util=Object.freeze({WEBGL_ENVS:WEBGL_ENVS,NODE_ENVS:NODE_ENVS,CHROME_ENVS:CHROME_ENVS,BROWSER_ENVS:BROWSER_ENVS,CPU_ENVS:CPU_ENVS,BROWSER_CPU_ENVS:BROWSER_CPU_ENVS,ALL_ENVS:ALL_ENVS,expectArraysClose:expectArraysClose,expectPromiseToFail:expectPromiseToFail,expectArraysEqual:expectArraysEqual,expectNumbersClose:expectNumbersClose,expectValuesInRange:expectValuesInRange,expectArrayBuffersEqual:expectArrayBuffersEqual}),version=\"0.13.11\",webgl=Object.freeze({gpgpu_util:gpgpu_util,webgl_util:webgl_util,MathBackendWebGL:MathBackendWebGL,GPGPUContext:GPGPUContext}),Optimizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.minimize=function(e,t,r){void 0===t&&(t=!1);var n=this.computeGradients(e,r),o=n.value,a=n.grads;return this.applyGradients(a),Object.keys(a).forEach(function(e){return a[e].dispose()}),t?o:(o.dispose(),null)},t.prototype.computeGradients=function(e,t){return variableGrads(e,t)},t}(Serializable),AdadeltaOptimizer=function(e){function t(t,r,n){void 0===n&&(n=null);var o=e.call(this)||this;return o.learningRate=t,o.rho=r,o.epsilon=n,o.accumulatedGrads={},o.accumulatedUpdates={},o.c=keep(scalar(-t)),o.rhoScalar=keep(scalar(r)),o.oneMinusRho=keep(scalar(1-r)),null===n&&(n=ENV.get(\"EPSILON\")),o.epsilonScalar=keep(scalar(n)),o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulatedGrads[r]){tidy(function(){t.accumulatedGrads[r]=zerosLike(o).variable(!1)})}if(null==n.accumulatedUpdates[r]){tidy(function(){t.accumulatedUpdates[r]=zerosLike(o).variable(!1)})}var a=e[r],i=n.accumulatedGrads[r],s=n.accumulatedUpdates[r];tidy(function(){var e=t.rhoScalar.mul(i).add(t.oneMinusRho.mul(a.square())),n=s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(a),u=t.rhoScalar.mul(s).add(t.oneMinusRho.mul(n.square()));t.accumulatedGrads[r].assign(e),t.accumulatedUpdates[r].assign(u);var l=t.c.mul(n).add(o);o.assign(l)})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.rhoScalar.dispose(),this.oneMinusRho.dispose(),null!=this.accumulatedUpdates&&(Object.keys(this.accumulatedUpdates).forEach(function(t){return e.accumulatedUpdates[t].dispose()}),Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t.className=\"AdadeltaOptimizer\",t}(Optimizer);registerClass(AdadeltaOptimizer);var AdagradOptimizer=function(e){function t(t,r){void 0===r&&(r=.1);var n=e.call(this)||this;return n.learningRate=t,n.initialAccumulatorValue=r,n.accumulatedGrads={},n.c=keep(scalar(-t)),n.epsilon=keep(scalar(ENV.get(\"EPSILON\"))),n}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulatedGrads[r]){tidy(function(){t.accumulatedGrads[r]=fill(o.shape,t.initialAccumulatorValue).variable(!1)})}var a=e[r],i=n.accumulatedGrads[r];tidy(function(){var e=i.add(a.square());t.accumulatedGrads[r].assign(e);var n=t.c.mul(a.div(e.add(t.epsilon).sqrt())).add(o);o.assign(n)})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){var e=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t.className=\"AdagradOptimizer\",t}(Optimizer);registerClass(AdagradOptimizer);var AdamOptimizer=function(e){function t(t,r,n,o){void 0===o&&(o=null);var a=e.call(this)||this;return a.learningRate=t,a.beta1=r,a.beta2=n,a.epsilon=o,a.accumulatedFirstMoment={},a.accumulatedSecondMoment={},a.c=keep(scalar(-t)),a.beta1Scalar=keep(scalar(r)),a.beta2Scalar=keep(scalar(n)),tidy(function(){a.accBeta1=scalar(r).variable(),a.accBeta2=scalar(n).variable()}),a.oneMinusBeta1=keep(scalar(1-r)),a.oneMinusBeta2=keep(scalar(1-n)),a.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),a.epsScalar=keep(scalar(o)),a}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var r=t.one.sub(t.accBeta1),n=t.one.sub(t.accBeta2);for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedSecondMoment[o]){i=!1;t.accumulatedSecondMoment[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedSecondMoment[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),d=c.div(r),h=p.div(n);t.accumulatedFirstMoment[o].assign(c),t.accumulatedSecondMoment[o].assign(p);var f=t.c.mul(d.div(t.epsScalar.add(h.sqrt()))).add(a);a.assign(f)}t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)),t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.accBeta1.dispose(),this.accBeta2.dispose(),this.oneMinusBeta1.dispose(),this.oneMinusBeta2.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedSecondMoment&&Object.keys(this.accumulatedSecondMoment).forEach(function(t){return e.accumulatedSecondMoment[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t.className=\"AdamOptimizer\",t}(Optimizer);registerClass(AdamOptimizer);var AdamaxOptimizer=function(e){function t(t,r,n,o,a){void 0===o&&(o=null),void 0===a&&(a=0);var i=e.call(this)||this;return i.learningRate=t,i.beta1=r,i.beta2=n,i.epsilon=o,i.decay=a,i.accumulatedFirstMoment={},i.accumulatedWeightedInfNorm={},i.c=keep(scalar(-t)),i.beta1Scalar=keep(scalar(r)),i.beta2Scalar=keep(scalar(n)),i.decayScalar=keep(scalar(a)),tidy(function(){i.iteration=scalar(0).variable(),i.accBeta1=scalar(r).variable()}),i.oneMinusBeta1=keep(scalar(1-r)),i.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),i.epsScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var r=t.one.sub(t.accBeta1),n=t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedWeightedInfNorm[o]){i=!1;t.accumulatedWeightedInfNorm[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedWeightedInfNorm[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l),d=s.abs(),h=p.maximum(d);t.accumulatedFirstMoment[o].assign(c),t.accumulatedWeightedInfNorm[o].assign(h);var f=n.div(r).mul(c.div(t.epsScalar.add(h))).add(a);a.assign(f)}t.iteration.assign(t.iteration.add(t.one)),t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.accBeta1.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.oneMinusBeta1.dispose(),this.decayScalar.dispose(),this.iteration.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedWeightedInfNorm&&Object.keys(this.accumulatedWeightedInfNorm).forEach(function(t){return e.accumulatedWeightedInfNorm[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t.className=\"AdamaxOptimizer\",t}(Optimizer);registerClass(AdamaxOptimizer);var SGDOptimizer=function(e){function t(t){var r=e.call(this)||this;return r.learningRate=t,r.setLearningRate(t),r}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;Object.keys(e).forEach(function(r){var n=e[r],o=ENV.engine.registeredVariables[r];tidy(function(){var e=t.c.mul(n).add(o);o.assign(e)})})},t.prototype.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=keep(scalar(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t.className=\"SGDOptimizer\",t}(Optimizer);registerClass(SGDOptimizer);var MomentumOptimizer=function(e){function t(t,r,n){void 0===n&&(n=!1);var o=e.call(this,t)||this;return o.learningRate=t,o.momentum=r,o.useNesterov=n,o.m=scalar(o.momentum),o.accumulations={},o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulations[r]){tidy(function(){t.accumulations[r]=zerosLike(o).variable(!1)})}var a=n.accumulations[r],i=e[r];tidy(function(){var e,n=t.m.mul(a).add(i);e=t.useNesterov?t.c.mul(i.add(n.mul(t.m))).add(o):t.c.mul(n).add(o),t.accumulations[r].assign(n),o.assign(e)})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){if(e.prototype.dispose.call(this),this.m.dispose(),null!=this.accumulations)for(var t in this.accumulations)this.accumulations[t].dispose()},t.prototype.setMomentum=function(e){this.momentum=e},t.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)},t.className=\"MomentumOptimizer\",t}(SGDOptimizer);registerClass(MomentumOptimizer);var RMSPropOptimizer=function(e){function t(t,r,n,o,a){void 0===r&&(r=.9),void 0===n&&(n=0),void 0===o&&(o=null),void 0===a&&(a=!1);var i=e.call(this)||this;return i.learningRate=t,i.decay=r,i.momentum=n,i.epsilon=o,i.accumulatedMeanSquares={},i.accumulatedMeanGrads={},i.accumulatedMoments={},i.c=keep(scalar(t)),i.decayScalar=keep(scalar(r)),i.momentumScalar=keep(scalar(n)),i.oneMinusDecay=keep(scalar(1-r)),i.centered=a,null===o&&(o=ENV.get(\"EPSILON\")),i.epsilonScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,r=function(r){var o=ENV.engine.registeredVariables[r];if(null==n.accumulatedMeanSquares[r]){tidy(function(){t.accumulatedMeanSquares[r]=zerosLike(o).variable(!1)})}if(null==n.accumulatedMeanGrads[r]&&n.centered){tidy(function(){t.accumulatedMeanGrads[r]=zerosLike(o).variable(!1)})}if(null==n.accumulatedMoments[r]){tidy(function(){t.accumulatedMoments[r]=zerosLike(o).variable(!1)})}var a=n.accumulatedMeanSquares[r],i=n.accumulatedMeanGrads[r],s=n.accumulatedMoments[r],u=e[r];tidy(function(){var e=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));if(t.centered){var n=t.decayScalar.mul(i).add(t.oneMinusDecay.mul(u)),l=t.momentumScalar.mul(s).add(t.c.mul(u).div(e.sub(n.square().add(t.epsilonScalar)).sqrt()));t.accumulatedMeanSquares[r].assign(e),t.accumulatedMeanGrads[r].assign(n),t.accumulatedMoments[r].assign(l);var c=o.sub(l);o.assign(c)}else{var p=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));l=t.momentumScalar.mul(s).add(t.c.mul(u).div(p.add(t.epsilonScalar).sqrt()));t.accumulatedMeanSquares[r].assign(p),t.accumulatedMoments[r].assign(l);c=o.sub(l);o.assign(c)}})},n=this;for(var o in e)r(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.decayScalar.dispose(),this.momentumScalar.dispose(),this.oneMinusDecay.dispose(),null!=this.accumulatedMeanSquares&&Object.keys(this.accumulatedMeanSquares).forEach(function(t){return e.accumulatedMeanSquares[t].dispose()}),null!=this.accumulatedMeanGrads&&this.centered&&Object.keys(this.accumulatedMeanGrads).forEach(function(t){return e.accumulatedMeanGrads[t].dispose()}),null!=this.accumulatedMoments&&Object.keys(this.accumulatedMoments).forEach(function(t){return e.accumulatedMoments[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},t.fromConfig=function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)},t.className=\"RMSPropOptimizer\",t}(Optimizer);registerClass(RMSPropOptimizer);var OptimizerConstructors=function(){function e(){}return e.sgd=function(e){return new SGDOptimizer(e)},e.momentum=function(e,t,r){return void 0===r&&(r=!1),new MomentumOptimizer(e,t,r)},e.rmsprop=function(e,t,r,n,o){return void 0===t&&(t=.9),void 0===r&&(r=0),void 0===n&&(n=null),void 0===o&&(o=!1),new RMSPropOptimizer(e,t,r,n,o)},e.adam=function(e,t,r,n){return void 0===e&&(e=.001),void 0===t&&(t=.9),void 0===r&&(r=.999),void 0===n&&(n=null),new AdamOptimizer(e,t,r,n)},e.adadelta=function(e,t,r){return void 0===e&&(e=.001),void 0===t&&(t=.95),void 0===r&&(r=null),new AdadeltaOptimizer(e,t,r)},e.adamax=function(e,t,r,n,o){return void 0===e&&(e=.002),void 0===t&&(t=.9),void 0===r&&(r=.999),void 0===n&&(n=null),void 0===o&&(o=0),new AdamaxOptimizer(e,t,r,n,o)},e.adagrad=function(e,t){return void 0===t&&(t=.1),new AdagradOptimizer(e,t)},e}(),train={sgd:OptimizerConstructors.sgd,momentum:OptimizerConstructors.momentum,adadelta:OptimizerConstructors.adadelta,adagrad:OptimizerConstructors.adagrad,rmsprop:OptimizerConstructors.rmsprop,adamax:OptimizerConstructors.adamax,adam:OptimizerConstructors.adam},setBackend=Environment.setBackend,getBackend=Environment.getBackend,disposeVariables=Environment.disposeVariables,memory=Environment.memory;setOpHandler(ops);export{setBackend,getBackend,disposeVariables,memory,version as version_core,nextFrame,environment,io,math,serialization,test_util,util,webgl,AdadeltaOptimizer,AdagradOptimizer,AdamOptimizer,AdamaxOptimizer,MomentumOptimizer,Optimizer,RMSPropOptimizer,SGDOptimizer,Tensor,TensorBuffer,variable,Variable,Rank,Reduction,ENV,Environment,KernelBackend,DataStorage,image_ops as image,linalg_ops as linalg,loss_ops as losses,spectral_ops as spectral,op,batchNormalization2d,batchNormalization3d,batchNormalization4d,batchNormalization,complex,real,imag,concat,concat1d,concat2d,concat3d,concat4d,split$1 as split,conv1d,conv2d,conv2dDerFilter,depthwiseConv2d,separableConv2d,conv2dTranspose,matMul,dot,outerProduct,reverse,reverse1d,reverse2d,reverse3d,reverse4d,maxPool,avgPool,pool,slice,slice1d,slice2d,slice3d,slice4d,abs,acos,acosh,asin,asinh,atan,atanh,ceil,clipByValue,cos,cosh,erf,exp,expm1,floor,log$1 as log,log1p,logSigmoid,neg,reciprocal,round,rsqrt,sigmoid,sign,sin,sinh,softplus,sqrt,square,step,tan,tanh$1 as tanh,all,any,argMax,argMin,logSumExp,max,mean,min,moments,sum$1 as sum,prod,equal,equalStrict,greater,greaterEqual,greaterEqualStrict,greaterStrict,less,lessEqual,lessEqualStrict,lessStrict,notEqual,notEqualStrict,add,addN,addStrict,atan2,div,divStrict,floorDiv,maximum,maximumStrict,minimum,minimumStrict,mod,modStrict,mul,mulStrict,pow,powStrict,squaredDifference,squaredDifferenceStrict,sub,subStrict,elu,leakyRelu,prelu,relu,selu,logicalAnd,logicalNot,logicalOr,logicalXor,where,whereAsync,buffer,toPixels,print,batchToSpaceND,cast,clone,cumsum,depthToSpace,expandDims,eye,fromPixels,multinomial,oneHot,pad,pad1d,pad2d,pad3d,pad4d,rand,randomNormal,randomUniform,reshape,spaceToBatchND,squeeze,stack,tile,truncatedNormal,unstack,setdiff1dAsync,fill,linspace,ones$1 as ones,range,scalar,tensor,tensor1d,tensor2d,tensor3d,tensor4d,tensor5d,tensor6d,zeros,onesLike,zerosLike,transpose,softmax,logSoftmax,localResponseNormalization,norm,gather,unsortedSegmentSum,basicLSTMCell,multiRNNCell,movingAverage,stridedSlice,topk,scatterND,fft,ifft,rfft,sparseToDense,gatherND,train,tidy,keep,dispose,time,profile,customGrad,grad,grads,valueAndGrad,valueAndGrads,variableGrads};\n//# sourceMappingURL=tf-core.esm.js.map\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nvar extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}var 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n=Math.random();return t*n+(1-n)*e}function distSquared(e,t){for(var n=0,r=0;r<e.length;r++){var o=Number(e[r])-Number(t[r]);n+=o*o}return n}function assert(e,t){if(!e)throw new Error(\"string\"==typeof t?t:t())}function assertShapesMatch(e,t,n){void 0===n&&(n=\"\"),assert(arraysEqual(e,t),n+\" Shapes \"+e+\" and \"+t+\" must match\")}function assertNonNull(e){assert(null!=e,\"The input to the tensor constructor must be a non-null value.\")}function flatten(e,t){if(void 0===t&&(t=[]),Array.isArray(e))for(var n=0;n<e.length;++n)flatten(e[n],t);else t.push(e);return t}function inferShape(e){var t=e;if(isTypedArray(e))return[e.length];if(!Array.isArray(e))return[];for(var n=[];t instanceof Array;)n.push(t.length),t=t[0];return e instanceof Array&&deepAssertShapeConsistency(e,n,[]),n}function deepAssertShapeConsistency(e,t,n){if(n=n||[],e instanceof Array){assert(t.length>0,function(){return\"Element arr[\"+n.join(\"][\")+\"] should be a primitive, but is an array of \"+e.length+\" elements\"}),assert(e.length===t[0],function(){return\"Element arr[\"+n.join(\"][\")+\"] should have \"+t[0]+\" elements, but has \"+e.length+\" elements\"});for(var r=t.slice(1),o=0;o<e.length;++o)deepAssertShapeConsistency(e[o],r,n.concat(o))}else assert(0===t.length,function(){return\"Element arr[\"+n.join(\"][\")+\"] is a primitive, but should be an array of \"+t[0]+\" elements\"})}function sizeFromShape(e){if(0===e.length)return 1;for(var t=e[0],n=1;n<e.length;n++)t*=e[n];return t}function isScalarShape(e){return 0===e.length}function arraysEqual(e,t){if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}function isInt(e){return e%1==0}function tanh(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)}function sizeToSquarishShape(e){for(var t=Math.floor(Math.sqrt(e));t>1;--t)if(e%t==0)return[t,e/t];return[1,e]}function createShuffledIndices(e){for(var t=new Uint32Array(e),n=0;n<e;++n)t[n]=n;return shuffle(t),t}function rightPad(e,t){return t<=e.length?e:e+\" \".repeat(t-e.length)}function repeatedTry(e,t,n){return void 0===t&&(t=function(e){return 0}),new Promise(function(r,o){var a=0,i=function(){if(e())r();else{var s=t(++a);null!=n&&a>=n?o():setTimeout(i,s)}};i()})}function inferFromImplicitShape(e,t){for(var n=1,r=-1,o=0;o<e.length;++o)if(e[o]>=0)n*=e[o];else if(-1===e[o]){if(-1!==r)throw Error(\"Shapes can only have 1 implicit size. Found -1 at dim \"+r+\" and dim \"+o);r=o}else if(e[o]<0)throw Error(\"Shapes can not be < 0. Found \"+e[o]+\" at dim \"+o);if(-1===r){if(t>0&&t!==n)throw Error(\"Size(\"+t+\") must match the product of shape \"+e);return e}if(0===n)throw Error(\"Cannot infer the missing size in [\"+e+\"] when there are 0 elements\");if(t%n!=0)throw Error(\"The implicit shape can't be a fractional number. Got \"+t+\" / \"+n);var a=e.slice();return a[r]=t/n,a}function squeezeShape(e,t){for(var n=[],r=[],o=0,a=0;a<e.length;++a){if(null!=t){if(t[o]===a&&1!==e[a])throw new Error(\"Can't squeeze axis \"+a+\" since its dim '\"+e[a]+\"' is not 1\");(null==t[o]||t[o]>a)&&1===e[a]&&(n.push(e[a]),r.push(a)),t[o]<=a&&o++}1!==e[a]&&(n.push(e[a]),r.push(a))}return{newShape:n,keptDims:r}}function getTypedArrayFromDType(e,t){var n=null;if(null==e||\"float32\"===e)n=new Float32Array(t);else if(\"int32\"===e)n=new Int32Array(t);else{if(\"bool\"!==e)throw new Error(\"Unknown data type \"+e);n=new Uint8Array(t)}return n}function checkComputationForNaN(e,t,n){if(\"float32\"===t)for(var r=0;r<e.length;r++)if(isNaN(e[r]))throw Error(\"The result of the '\"+n+\"' has NaNs.\")}function checkConversionForNaN(e,t){if(\"float32\"!==t)for(var n=0;n<e.length;n++)if(isNaN(e[n]))throw Error(\"NaN is not a valid value for dtype: '\"+t+\"'.\")}function hasEncodingLoss(e,t){return\"complex64\"!==t&&((\"float32\"!==t||\"complex64\"===e)&&((\"int32\"!==t||\"float32\"===e||\"complex64\"===e)&&(\"bool\"!==t||\"bool\"!==e)))}function copyTypedArray(e,t,n){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return n&&checkConversionForNaN(e,t),new Int32Array(e);if(\"bool\"===t){for(var r=new Uint8Array(e.length),o=0;o<r.length;++o)0!==Math.round(e[o])&&(r[o]=1);return r}throw new Error(\"Unknown data type \"+t)}function isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array}function bytesPerElement(e){if(\"float32\"===e||\"int32\"===e)return 4;if(\"complex64\"===e)return 8;if(\"bool\"===e)return 1;throw new Error(\"Unknown dtype \"+e)}function isFunction(e){return!!(e&&e.constructor&&e.call&&e.apply)}function nearestDivisor(e,t){for(var n=t;n<e;++n)if(e%n==0)return n;return e}function computeStrides(e){var t=e.length;if(t<2)return[];var n=new Array(t-1);n[t-2]=e[t-1];for(var r=t-3;r>=0;--r)n[r]=n[r+1]*e[r+1];return n}function toTypedArray(e,t,n){return noConversionNeeded(e,t)?e:(Array.isArray(e)&&(e=flatten(e)),copyTypedArray(e,t,n))}function noConversionNeeded(e,t){return e instanceof Float32Array&&\"float32\"===t||e instanceof Int32Array&&\"int32\"===t||e instanceof Uint8Array&&\"bool\"===t}function makeOnesTypedArray(e,t){for(var n=makeZerosTypedArray(e,t),r=0;r<n.length;r++)n[r]=1;return n}function makeZerosTypedArray(e,t){if(null==t||\"float32\"===t||\"complex64\"===t)return new Float32Array(e);if(\"int32\"===t)return new Int32Array(e);if(\"bool\"===t)return new Uint8Array(e);throw new Error(\"Unknown data type \"+t)}function now(){if(\"undefined\"!=typeof performance)return performance.now();if(\"undefined\"!=typeof process){var e=process.hrtime();return 1e3*e[0]+e[1]/1e6}throw new Error(\"Cannot measure time in this environment. You should run tf.js in the browser or in Node.js\")}var util=Object.freeze({shuffle:shuffle,clamp:clamp,randUniform:randUniform,distSquared:distSquared,assert:assert,assertShapesMatch:assertShapesMatch,assertNonNull:assertNonNull,flatten:flatten,inferShape:inferShape,sizeFromShape:sizeFromShape,isScalarShape:isScalarShape,arraysEqual:arraysEqual,isInt:isInt,tanh:tanh,sizeToSquarishShape:sizeToSquarishShape,createShuffledIndices:createShuffledIndices,rightPad:rightPad,repeatedTry:repeatedTry,inferFromImplicitShape:inferFromImplicitShape,squeezeShape:squeezeShape,getTypedArrayFromDType:getTypedArrayFromDType,checkComputationForNaN:checkComputationForNaN,checkConversionForNaN:checkConversionForNaN,hasEncodingLoss:hasEncodingLoss,isTypedArray:isTypedArray,bytesPerElement:bytesPerElement,isFunction:isFunction,nearestDivisor:nearestDivisor,computeStrides:computeStrides,toTypedArray:toTypedArray,makeOnesTypedArray:makeOnesTypedArray,makeZerosTypedArray:makeZerosTypedArray,now:now}),Profiler=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new Logger)}return e.prototype.profileKernel=function(e,t){var n,r=this,o=this.backendTimer.time(function(){n=t()});return(Array.isArray(n)?n:[n]).forEach(function(t){var n=t.dataSync();checkComputationForNaN(n,t.dtype,e),o.then(function(o){r.logger.logKernelProfile(e,t,n,o.kernelMs)})}),n},e}(),Logger=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,n,r){var o=rightPad(r+\"ms\",9),a=rightPad(e,25),i=t.rank,s=t.size,u=rightPad(t.shape.toString(),14);console.log(\"%c\"+a+\"\\t%c\"+o+\"\\t%c\"+i+\"D \"+u+\"\\t%c\"+s,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\")},e}(),FORMAT_LIMIT_NUM_VALS=20,FORMAT_NUM_FIRST_LAST_VALS=3,FORMAT_NUM_SIG_DIGITS=7;function tensorToString(e,t,n,r){var o=computeStrides(t),a=computeMaxSizePerColumn(e,t,n,o),i=t.length,s=subTensorToString(e,t,n,o,a),u=[\"Tensor\"];return r&&(u.push(\"  dtype: \"+n),u.push(\"  rank: \"+i),u.push(\"  shape: [\"+t+\"]\"),u.push(\"  values:\")),u.push(s.map(function(e){return\"    \"+e}).join(\"\\n\")),u.join(\"\\n\")}function computeMaxSizePerColumn(e,t,n,r){var o=sizeFromShape(t),a=r[r.length-1],i=new Array(a).fill(0),s=t.length,u=\"complex64\"===n?createComplexTuples(e):e;if(s>1)for(var l=0;l<o/a;l++)for(var c=l*a,p=0;p<a;p++)i[p]=Math.max(i[p],valToString(u[c+p],0).length);return i}function valToString(e,t){return rightPad(Array.isArray(e)?parseFloat(e[0].toFixed(FORMAT_NUM_SIG_DIGITS))+\" + \"+parseFloat(e[1].toFixed(FORMAT_NUM_SIG_DIGITS))+\"j\":parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(),t)}function subTensorToString(e,t,n,r,o,a){void 0===a&&(a=!0);var i=\"complex64\"===n?2:1,s=t[0],u=t.length;if(0===u)return\"complex64\"===n?[valToString(createComplexTuples(e)[0],0)]:[e[0].toString()];if(1===u){if(s>FORMAT_LIMIT_NUM_VALS){var l=FORMAT_NUM_FIRST_LAST_VALS*i,c=Array.from(e.subarray(0,l)),p=Array.from(e.subarray(s-FORMAT_NUM_FIRST_LAST_VALS*i,s));return\"complex64\"===n&&(c=createComplexTuples(c),p=createComplexTuples(p)),[\"[\"+c.map(function(e,t){return valToString(e,o[t])}).join(\", \")+\", ..., \"+p.map(function(e,t){return valToString(e,o[s-FORMAT_NUM_FIRST_LAST_VALS+t])}).join(\", \")+\"]\"]}return[\"[\"+(\"complex64\"===n?createComplexTuples(e):Array.from(e)).map(function(e,t){return valToString(e,o[t])}).join(\", \")+\"]\"]}var d=t.slice(1),h=r.slice(1),f=r[0]*i,m=[];if(s>FORMAT_LIMIT_NUM_VALS){for(var g=0;g<FORMAT_NUM_FIRST_LAST_VALS;g++){var v=(x=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(x,v),d,n,h,o,!1))}m.push(\"...\");for(g=s-FORMAT_NUM_FIRST_LAST_VALS;g<s;g++){v=(x=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(x,v),d,n,h,o,g===s-1))}}else for(g=0;g<s;g++){var x;v=(x=g*f)+f;m.push.apply(m,subTensorToString(e.subarray(x,v),d,n,h,o,g===s-1))}var y=2===u?\",\":\"\";m[0]=\"[\"+m[0]+y;for(g=1;g<m.length-1;g++)m[g]=\" \"+m[g]+y;var T=\",\\n\";for(g=2;g<u;g++)T+=\"\\n\";return m[m.length-1]=\" \"+m[m.length-1]+\"]\"+(a?\"\":T),m}function createComplexTuples(e){for(var t=[],n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var TensorBuffer=function(){function e(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=sizeFromShape(e),null!=n){var r=n.length;assert(r===this.size,\"Length of values '\"+r+\"' does not match the size inferred by the shape '\"+this.size+\"'.\")}if(\"complex64\"===t)throw new Error(\"complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).\");this.values=n||getTypedArrayFromDType(t,sizeFromShape(this.shape)),this.strides=computeStrides(e)}return e.prototype.set=function(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];0===t.length&&(t=[0]),assert(t.length===this.rank,\"The number of provided coordinates (\"+t.length+\") must match the rank (\"+this.rank+\")\");var r=this.locToIndex(t);this.values[r]=e},e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];0===e.length&&(e=[0]);for(var n=e[e.length-1],r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.values[n]},e.prototype.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t},e.prototype.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.toTensor=function(){return Tensor.make(this.shape,{values:this.values},this.dtype)},e}(),trackerFn=null,opHandler=null;function setTensorTracker(e){trackerFn=e}function setOpHandler(e){opHandler=e}var Tensor=function(){function e(t,n,r,o){this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=n||\"float32\",this.size=sizeFromShape(t),null!=r&&assert(this.size===r.length,\"Based on the provided shape, [\"+t+\"], and dtype \"+this.dtype+\", the tensor should have \"+this.size+\" values but has \"+r.length),this.strides=computeStrides(t),this.dataId=null!=o?o:{},this.id=e.nextId++,this.rankType=this.rank<5?this.rank.toString():\"higher\",trackerFn().registerTensor(this),null!=r&&trackerFn().write(this.dataId,r)}return e.make=function(t,n,r){return new e(t,r,n.values,n.dataId)},e.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},e.prototype.asScalar=function(){return this.throwIfDisposed(),assert(1===this.size,\"The array must have only 1 element.\"),this.reshape([])},e.prototype.as1D=function(){return this.throwIfDisposed(),this.reshape([this.size])},e.prototype.as2D=function(e,t){return this.throwIfDisposed(),this.reshape([e,t])},e.prototype.as3D=function(e,t,n){return this.throwIfDisposed(),this.reshape([e,t,n])},e.prototype.as4D=function(e,t,n,r){return this.throwIfDisposed(),this.reshape([e,t,n,r])},e.prototype.asType=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];assert(e.length===this.rank,\"Number of coordinates in get() must match the rank of the tensor\"),assert(\"complex64\"!==this.dtype,\"Tensor.get() is not supported for complex64 tensors yet.\"),this.throwIfDisposed(),0===e.length&&(e=[0]);for(var n=e[e.length-1],r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.dataSync()[n]},e.prototype.buffer=function(){return opHandler.buffer(this.shape,this.dtype,this.dataSync())},e.prototype.data=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.throwIfDisposed(),[2,trackerFn().read(this.dataId)]})})},e.prototype.dataSync=function(){return this.throwIfDisposed(),trackerFn().readSync(this.dataId)},e.prototype.dispose=function(){this.isDisposed||(trackerFn().disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(e.prototype,\"isDisposed\",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),e.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")},e.prototype.toFloat=function(){return this.asType(\"float32\")},e.prototype.toInt=function(){return this.asType(\"int32\")},e.prototype.toBool=function(){return this.asType(\"bool\")},e.prototype.print=function(e){return void 0===e&&(e=!1),opHandler.print(this,e)},e.prototype.reshape=function(e){return this.throwIfDisposed(),opHandler.reshape(this,e)},e.prototype.reshapeAs=function(e){return this.throwIfDisposed(),this.reshape(e.shape)},e.prototype.expandDims=function(e){return void 0===e&&(e=0),opHandler.expandDims(this,e)},e.prototype.cumsum=function(e,t,n){return void 0===e&&(e=0),void 0===t&&(t=!1),void 0===n&&(n=!1),opHandler.cumsum(this,e,t,n)},e.prototype.squeeze=function(e){return this.throwIfDisposed(),opHandler.squeeze(this,e)},e.prototype.clone=function(){return this.throwIfDisposed(),opHandler.clone(this)},e.prototype.toString=function(e){return void 0===e&&(e=!1),tensorToString(this.dataSync(),this.shape,this.dtype,e)},e.prototype.tile=function(e){return this.throwIfDisposed(),opHandler.tile(this,e)},e.prototype.gather=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.gather(this,e,t)},e.prototype.matMul=function(e,t,n){return void 0===t&&(t=!1),void 0===n&&(n=!1),this.throwIfDisposed(),opHandler.matMul(this,e,t,n)},e.prototype.dot=function(e){return this.throwIfDisposed(),opHandler.dot(this,e)},e.prototype.norm=function(e,t,n){return void 0===e&&(e=\"euclidean\"),void 0===t&&(t=null),void 0===n&&(n=!1),this.throwIfDisposed(),opHandler.norm(this,e,t,n)},e.prototype.slice=function(e,t){return this.throwIfDisposed(),opHandler.slice(this,e,t)},e.prototype.reverse=function(e){return this.throwIfDisposed(),opHandler.reverse(this,e)},e.prototype.concat=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.concat([this,e],t)},e.prototype.split=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),opHandler.split(this,e,t)},e.prototype.stack=function(e,t){return void 0===t&&(t=0),opHandler.stack([this,e],t)},e.prototype.unstack=function(e,t){return void 0===t&&(t=0),opHandler.unstack(this,t)},e.prototype.pad=function(e,t){return void 0===t&&(t=0),opHandler.pad(this,e,t)},e.prototype.batchNormalization=function(e,t,n,r,o){return void 0===n&&(n=.001),this.throwIfDisposed(),opHandler.batchNormalization(this,e,t,n,r,o)},e.prototype.all=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.all(this,e,t)},e.prototype.any=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.any(this,e,t)},e.prototype.logSumExp=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.logSumExp(this,e,t)},e.prototype.sum=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.sum(this,e,t)},e.prototype.mean=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.mean(this,e,t)},e.prototype.min=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.min(this,e,t)},e.prototype.max=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.max(this,e,t)},e.prototype.argMin=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMin(this,e)},e.prototype.argMax=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),opHandler.argMax(this,e)},e.prototype.cast=function(e){return this.throwIfDisposed(),opHandler.cast(this,e)},e.prototype.add=function(e){return this.throwIfDisposed(),opHandler.add(this,e)},e.prototype.addStrict=function(e){return this.throwIfDisposed(),opHandler.addStrict(this,e)},e.prototype.atan2=function(e){return this.throwIfDisposed(),opHandler.atan2(this,e)},e.prototype.sub=function(e){return this.throwIfDisposed(),opHandler.sub(this,e)},e.prototype.subStrict=function(e){return this.throwIfDisposed(),opHandler.subStrict(this,e)},e.prototype.pow=function(e){return this.throwIfDisposed(),opHandler.pow(this,e)},e.prototype.powStrict=function(e){return this.throwIfDisposed(),opHandler.powStrict(this,e)},e.prototype.mul=function(e){return this.throwIfDisposed(),opHandler.mul(this,e)},e.prototype.mulStrict=function(e){return this.throwIfDisposed(),opHandler.mulStrict(this,e)},e.prototype.div=function(e){return this.throwIfDisposed(),opHandler.div(this,e)},e.prototype.floorDiv=function(e){return this.throwIfDisposed(),opHandler.floorDiv(this,e)},e.prototype.divStrict=function(e){return this.throwIfDisposed(),opHandler.divStrict(this,e)},e.prototype.minimum=function(e){return this.throwIfDisposed(),opHandler.minimum(this,e)},e.prototype.minimumStrict=function(e){return this.throwIfDisposed(),opHandler.minimumStrict(this,e)},e.prototype.maximum=function(e){return this.throwIfDisposed(),opHandler.maximum(this,e)},e.prototype.maximumStrict=function(e){return this.throwIfDisposed(),opHandler.maximumStrict(this,e)},e.prototype.mod=function(e){return this.throwIfDisposed(),opHandler.mod(this,e)},e.prototype.modStrict=function(e){return this.throwIfDisposed(),opHandler.modStrict(this,e)},e.prototype.squaredDifference=function(e){return this.throwIfDisposed(),opHandler.squaredDifference(this,e)},e.prototype.squaredDifferenceStrict=function(e){return this.throwIfDisposed(),opHandler.squaredDifferenceStrict(this,e)},e.prototype.transpose=function(e){return this.throwIfDisposed(),opHandler.transpose(this,e)},e.prototype.notEqual=function(e){return this.throwIfDisposed(),opHandler.notEqual(this,e)},e.prototype.notEqualStrict=function(e){return this.throwIfDisposed(),opHandler.notEqualStrict(this,e)},e.prototype.less=function(e){return this.throwIfDisposed(),opHandler.less(this,e)},e.prototype.lessStrict=function(e){return this.throwIfDisposed(),opHandler.lessStrict(this,e)},e.prototype.equal=function(e){return this.throwIfDisposed(),opHandler.equal(this,e)},e.prototype.equalStrict=function(e){return this.throwIfDisposed(),opHandler.equalStrict(this,e)},e.prototype.lessEqual=function(e){return this.throwIfDisposed(),opHandler.lessEqual(this,e)},e.prototype.lessEqualStrict=function(e){return this.throwIfDisposed(),opHandler.lessEqualStrict(this,e)},e.prototype.greater=function(e){return this.throwIfDisposed(),opHandler.greater(this,e)},e.prototype.greaterStrict=function(e){return this.throwIfDisposed(),opHandler.greaterStrict(this,e)},e.prototype.greaterEqual=function(e){return this.throwIfDisposed(),opHandler.greaterEqual(this,e)},e.prototype.greaterEqualStrict=function(e){return this.throwIfDisposed(),opHandler.greaterEqualStrict(this,e)},e.prototype.logicalAnd=function(e){return this.throwIfDisposed(),opHandler.logicalAnd(this,e)},e.prototype.logicalOr=function(e){return this.throwIfDisposed(),opHandler.logicalOr(this,e)},e.prototype.logicalNot=function(){return this.throwIfDisposed(),opHandler.logicalNot(this)},e.prototype.logicalXor=function(e){return this.throwIfDisposed(),opHandler.logicalXor(this,e)},e.prototype.where=function(e,t){return this.throwIfDisposed(),opHandler.where(e,this,t)},e.prototype.neg=function(){return this.throwIfDisposed(),opHandler.neg(this)},e.prototype.ceil=function(){return this.throwIfDisposed(),opHandler.ceil(this)},e.prototype.floor=function(){return this.throwIfDisposed(),opHandler.floor(this)},e.prototype.sign=function(){return this.throwIfDisposed(),opHandler.sign(this)},e.prototype.exp=function(){return this.throwIfDisposed(),opHandler.exp(this)},e.prototype.expm1=function(){return this.throwIfDisposed(),opHandler.expm1(this)},e.prototype.log=function(){return this.throwIfDisposed(),opHandler.log(this)},e.prototype.log1p=function(){return this.throwIfDisposed(),opHandler.log1p(this)},e.prototype.sqrt=function(){return this.throwIfDisposed(),opHandler.sqrt(this)},e.prototype.rsqrt=function(){return this.throwIfDisposed(),opHandler.rsqrt(this)},e.prototype.square=function(){return this.throwIfDisposed(),opHandler.square(this)},e.prototype.reciprocal=function(){return this.throwIfDisposed(),opHandler.reciprocal(this)},e.prototype.abs=function(){return this.throwIfDisposed(),opHandler.abs(this)},e.prototype.clipByValue=function(e,t){return this.throwIfDisposed(),opHandler.clipByValue(this,e,t)},e.prototype.relu=function(){return this.throwIfDisposed(),opHandler.relu(this)},e.prototype.elu=function(){return this.throwIfDisposed(),opHandler.elu(this)},e.prototype.selu=function(){return this.throwIfDisposed(),opHandler.selu(this)},e.prototype.leakyRelu=function(e){return void 0===e&&(e=.2),this.throwIfDisposed(),opHandler.leakyRelu(this,e)},e.prototype.prelu=function(e){return this.throwIfDisposed(),opHandler.prelu(this,e)},e.prototype.sigmoid=function(){return this.throwIfDisposed(),opHandler.sigmoid(this)},e.prototype.logSigmoid=function(){return this.throwIfDisposed(),opHandler.logSigmoid(this)},e.prototype.softplus=function(){return this.throwIfDisposed(),opHandler.softplus(this)},e.prototype.zerosLike=function(){return this.throwIfDisposed(),opHandler.zerosLike(this)},e.prototype.onesLike=function(){return this.throwIfDisposed(),opHandler.onesLike(this)},e.prototype.sin=function(){return this.throwIfDisposed(),opHandler.sin(this)},e.prototype.cos=function(){return this.throwIfDisposed(),opHandler.cos(this)},e.prototype.tan=function(){return this.throwIfDisposed(),opHandler.tan(this)},e.prototype.asin=function(){return this.throwIfDisposed(),opHandler.asin(this)},e.prototype.acos=function(){return this.throwIfDisposed(),opHandler.acos(this)},e.prototype.atan=function(){return this.throwIfDisposed(),opHandler.atan(this)},e.prototype.sinh=function(){return this.throwIfDisposed(),opHandler.sinh(this)},e.prototype.cosh=function(){return this.throwIfDisposed(),opHandler.cosh(this)},e.prototype.tanh=function(){return this.throwIfDisposed(),opHandler.tanh(this)},e.prototype.asinh=function(){return this.throwIfDisposed(),opHandler.asinh(this)},e.prototype.acosh=function(){return this.throwIfDisposed(),opHandler.acosh(this)},e.prototype.atanh=function(){return this.throwIfDisposed(),opHandler.atanh(this)},e.prototype.erf=function(){return this.throwIfDisposed(),opHandler.erf(this)},e.prototype.round=function(){return this.throwIfDisposed(),opHandler.round(this)},e.prototype.step=function(e){return void 0===e&&(e=0),this.throwIfDisposed(),opHandler.step(this,e)},e.prototype.softmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),opHandler.softmax(this,e)},e.prototype.resizeBilinear=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeBilinear(this,e,t)},e.prototype.resizeNearestNeighbor=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),opHandler.image.resizeNearestNeighbor(this,e,t)},e.prototype.conv1d=function(e,t,n,r,o,a){return void 0===r&&(r=\"NWC\"),void 0===o&&(o=1),this.throwIfDisposed(),opHandler.conv1d(this,e,t,n,r,o,a)},e.prototype.conv2d=function(e,t,n,r,o,a){return void 0===r&&(r=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.conv2d(this,e,t,n,r,o,a)},e.prototype.conv2dTranspose=function(e,t,n,r,o){return this.throwIfDisposed(),opHandler.conv2dTranspose(this,e,t,n,r,o)},e.prototype.depthwiseConv2D=function(e,t,n,r,o,a){return void 0===r&&(r=\"NHWC\"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),opHandler.depthwiseConv2d(this,e,t,n,r,o,a)},e.prototype.separableConv2d=function(e,t,n,r,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a=\"NHWC\"),this.throwIfDisposed(),opHandler.separableConv2d(this,e,t,n,r,o,a)},e.prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),opHandler.avgPool(this,e,t,n,r)},e.prototype.maxPool=function(e,t,n,r){return this.throwIfDisposed(),opHandler.maxPool(this,e,t,n,r)},e.prototype.localResponseNormalization=function(e,t,n,r){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===n&&(n=1),void 0===r&&(r=.5),opHandler.localResponseNormalization(this,e,t,n,r)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),Variable.variable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),opHandler.unsortedSegmentSum(this,e,t)},e.prototype.batchToSpaceND=function(e,t){return this.throwIfDisposed(),opHandler.batchToSpaceND(this,e,t)},e.prototype.spaceToBatchND=function(e,t){return this.throwIfDisposed(),opHandler.spaceToBatchND(this,e,t)},e.prototype.topk=function(e,t){return void 0===e&&(e=1),void 0===t&&(t=!0),this.throwIfDisposed(),opHandler.topk(this,e,t)},e.prototype.stridedSlice=function(e,t,n,r,o){return void 0===r&&(r=0),void 0===o&&(o=0),this.throwIfDisposed(),opHandler.stridedSlice(this,e,t,n,r,o)},e.prototype.depthToSpace=function(e,t){return this.throwIfDisposed(),opHandler.depthToSpace(this,e,t)},e.nextId=0,e}();Object.defineProperty(Tensor,Symbol.hasInstance,{value:function(e){return!!e&&null!=e.shape&&null!=e.dtype}});var Variable=function(e){function t(n,r,o){void 0===r&&(r=!0);var a=e.call(this,n.shape,n.dtype,null,n.dataId)||this;a.trainable=r,a.name=o,null==a.name&&(a.name=t.nextVarId.toString(),t.nextVarId++);try{trackerFn().registerVariable(a)}catch(e){throw trackerFn().disposeTensor(a),e}return a}return __extends(t,e),t.variable=function(e,n,r,o){return void 0===n&&(n=!0),null!=o&&o!==e.dtype&&(e=e.asType(o)),new t(e,n,r)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error(\"dtype of the new value (\"+e.dtype+\") and previous value (\"+this.dtype+\") must match\");if(!arraysEqual(e.shape,this.shape))throw new Error(\"shape of the new value (\"+e.shape+\") and previous value (\"+this.shape+\") must match\");trackerFn().disposeTensor(this),this.dataId=e.dataId,trackerFn().registerTensor(this)},t.nextVarId=0,t}(Tensor);Object.defineProperty(Variable,Symbol.hasInstance,{value:function(e){return e instanceof Tensor&&null!=e.assign&&e.assign instanceof Function}});var variable=Variable.variable;function getFilteredNodesXToY(e,t,n){for(var r={},o={},a=0;a<t.length;a++)r[t[a].id]=!0;for(a=0;a<e.length;a++){var i=(f=e[a]).inputs;for(var s in i){for(var u=i[s],l=!1,c=0;c<t.length;c++)if(r[u.id]){f.outputs.forEach(function(e){return r[e.id]=!0}),l=!0,o[f.id]=!0;break}if(l)break}}var p={};p[n.id]=!0;var d={};for(a=e.length-1;a>=0;a--)for(i=(f=e[a]).inputs,c=0;c<f.outputs.length;c++)if(p[f.outputs[c].id]){for(var s in i)p[i[s].id]=!0,d[f.id]=!0;break}var h=[];for(a=0;a<e.length;a++){var f;if(o[(f=e[a]).id]&&d[f.id]){var m={};for(var s in f.inputs){var g=f.inputs[s];r[g.id]&&(m[s]=g)}var v=Object.assign({},f);v.inputs=m,v.outputs=f.outputs,h.push(v)}}return h}function backpropagateGradients(e,t){for(var n=function(n){var r=t[n],o=[];if(r.outputs.forEach(function(t){var n=e[t.id];if(null!=n)o.push(n);else{var r=Tensor.make(t.shape,{values:makeZerosTypedArray(t.size,t.dtype)},t.dtype);o.push(r)}}),null==r.gradient)throw new Error(\"Cannot compute gradient: gradient function not found for \"+r.name+\".\");var a=r.gradient(1===r.outputs.length?o[0]:o);for(var i in r.inputs){if(!(i in a))throw new Error(\"Cannot backprop through input \"+i+\". Available gradients found: \"+Object.keys(a)+\".\");var s=a[i](),u=r.inputs[i];if(!arraysEqual(s.shape,u.shape))throw new Error(\"Error in gradient for op \"+r.name+\". The gradient of input '\"+i+\"' has shape '\"+s.shape+\"', which does not match the shape of the input '\"+u.shape+\"'\");if(null==e[u.id])e[u.id]=s;else{var l=e[u.id];e[u.id]=l.add(s),l.dispose()}}},r=t.length-1;r>=0;r--)n(r)}function assertTypesMatch(e,t){assert(e.dtype===t.dtype,\"The dtypes of the first(\"+e.dtype+\") and second(\"+t.dtype+\") input must match\")}function isTensorInList(e,t){for(var n=0;n<t.length;n++)if(t[n].id===e.id)return!0;return!1}function getTensorsInContainer(e){var t=[];return walkTensorContainer(e,t,new Set),t}function walkTensorContainer(e,t,n){if(null!=e)if(e instanceof Tensor)t.push(e);else if(isIterable(e)){var r=e;for(var o in r){var a=r[o];n.has(a)||(n.add(a),walkTensorContainer(a,t,n))}}}function isIterable(e){return Array.isArray(e)||\"object\"==typeof e}var Type,Engine=function(){function e(e,t,n){this.backend=e,this.safeMode=t,this.debugMode=n,this.registeredVariables={},this.refCounter=new WeakMap,this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numDataBuffers=0,this.profiling=!1,this.gradientScopeCount=0,this.customGradientDepth=0,this.keepTensors=new Set,this.activeScope={track:[],name:\"default scope\"},this.scopeStack=[this.activeScope],this.profiler=new Profiler(e),this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return e.prototype.tidy=function(e,t,n){var r=this;void 0===n&&(n=!1);var o,a=null;if(null==t){if(\"function\"!=typeof e)throw new Error(\"Please provide a function to tidy()\");t=e}else{if(\"string\"!=typeof e&&!(e instanceof String))throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");if(\"function\"!=typeof t)throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");a=e}return this.scopedRun(function(){return r.startScope(a,n)},function(){return r.endScope(o,n)},function(){return(o=t())instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),o})},e.prototype.scopedRun=function(e,t,n){e();try{var r=n();return t(),r}catch(e){throw t(),e}},e.prototype.runKernel=function(e,t,n){var r,o=this,a=[],i=function(e){return a.push(e),e},s=this.activeScope.name,u=this.numBytes,l=this.numTensors;if(this.scopedRun(function(){return o.customGradientDepth++},function(){return o.customGradientDepth--},function(){r=o.debugMode()?o.profiler.profileKernel(s,function(){return e(o.backend,i)}):e(o.backend,i)}),this.shouldRecord()){var c={id:this.nextTapeNodeId++,name:s,inputs:t,outputs:Array.isArray(r)?r:[r]};null!=n&&(c.gradient=function(e){return n(e,a)}),this.activeTape.push(c)}return this.profiling&&this.activeProfile.kernels.push({name:s,bytesAdded:this.numBytes-u,totalBytesSnapshot:this.numBytes,tensorsAdded:this.numTensors-l,totalTensorsSnapshot:this.numTensors,inputShapes:Object.keys(t).map(function(e){return t[e].shape}),outputShape:Array.isArray(r)?r.map(function(e){return e.shape}):r.shape}),r},e.prototype.registerTensor=function(e){var t=this.refCounter.has(e.dataId)?this.refCounter.get(e.dataId):0;this.numTensors++,0===t&&(this.numDataBuffers++,\"complex64\"!==e.dtype&&(this.numBytes+=sizeFromShape(e.shape)*bytesPerElement(e.dtype)),this.backend.register(e.dataId,e.shape,e.dtype)),this.refCounter.set(e.dataId,t+1),e instanceof Variable||this.track(e)},e.prototype.registerVariable=function(e){if(null!=this.registeredVariables[e.name])throw new Error(\"Variable with name \"+e.name+\" was already registered\");this.registeredVariables[e.name]=e},e.prototype.disposeTensor=function(e){if(this.refCounter.has(e.dataId)){this.keepTensors.has(e.id)&&this.keepTensors.delete(e.id),this.numTensors--;var t=this.refCounter.get(e.dataId);t<=1?(this.refCounter.delete(e.dataId),this.backend.disposeData(e.dataId),this.numDataBuffers--,\"complex64\"!==e.dtype&&(this.numBytes-=sizeFromShape(e.shape)*bytesPerElement(e.dtype))):this.refCounter.set(e.dataId,t-1)}},e.prototype.disposeVariables=function(){for(var e in this.registeredVariables){var t=this.registeredVariables[e];this.disposeTensor(t),delete this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.profile=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){return this.profiling=!0,t=this.numBytes,n=this.numTensors,this.activeProfile.kernels=[],this.activeProfile.result=e(),this.profiling=!1,this.activeProfile.peakBytes=Math.max.apply(Math,this.activeProfile.kernels.map(function(e){return e.totalBytesSnapshot})),this.activeProfile.newBytes=this.numBytes-t,this.activeProfile.newTensors=this.numTensors-n,[2,this.activeProfile]})})},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,n){var r={};e.forEach(function(e,t){r[t]=e});var o={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:r,outputs:[t],gradient:function(e){var t={};return n(e).forEach(function(e,n){t[n]=function(){return e}}),t}};this.activeTape.push(o)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.\");return this.keepTensors.add(e.id),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var n={track:[],name:\"unnamed scope\"};e&&(n.name=e),this.scopeStack.push(n),this.activeScope=n},e.prototype.endScope=function(e,t){var n=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var r=new Set(this.keepTensors),o=getTensorsInContainer(e);o.forEach(function(e){return r.add(e.id)});for(var a=0;a<this.activeScope.track.length;a++){var i=this.activeScope.track[a];r.has(i.id)||(null!=this.activeTape?o.push(i):i.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?{track:[],name:\"default scope\"}:this.scopeStack[this.scopeStack.length-1],o.forEach(function(e){!n.keepTensors.has(e.id)&&isTensorInList(e,s.track)&&n.track(e)})},e.prototype.gradients=function(e,t,n,r){var o=this;return void 0===r&&(r=!1),assert(t.length>0,\"gradients() received an empty list of xs.\"),this.tidy(\"gradients\",function(){var a=e();assert(a instanceof Tensor,\"The result y returned by f() must be a tensor.\");var i=getFilteredNodesXToY(o.activeTape,t,a);if(!r&&0===i.length&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");var s={};return s[a.id]=null==n?ones(a.shape):n,backpropagateGradients(s,i),{value:a,grads:t.map(function(e){return s[e.id]})}},!0)},e.prototype.customGrad=function(e){var t=this;return assert(isFunction(e),\"The f passed in customGrad(f) must be a function.\"),function(){for(var n,r,o=[],a=0;a<arguments.length;a++)o[a]=arguments[a];if(assert(o.every(function(e){return e instanceof Tensor}),\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\"),t.scopedRun(function(){return t.customGradientDepth++},function(){return t.customGradientDepth--},function(){r=t.tidy(e.name,function(){var t=e.apply(void 0,o),r=t.value,a=t.gradFunc;return assert(r instanceof Tensor,\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),assert(isFunction(a),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n=a,r},!0)}),t.shouldRecord()){t.addTapeNode(o,r,function(e){var t=n(e),r=Array.isArray(t)?t:[t];return assert(r.length===o.length,\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),assert(r.every(function(e){return e instanceof Tensor}),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\"),r})}return r}},e.prototype.write=function(e,t){this.backend.write(e,t)},e.prototype.readSync=function(e){return this.backend.readSync(e)},e.prototype.read=function(e){return this.backend.read(e)},e.prototype.fromPixels=function(e,t){return this.backend.fromPixels(e,t)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:return t=now(),[4,this.backend.time(e)];case 1:return(n=r.sent()).wallMs=now()-t,[2,n]}})})},e.prototype.track=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.\");return this.activeScope.track.push(e),e},e}();function ones(e){var t=makeOnesTypedArray(sizeFromShape(e),\"float32\");return Tensor.make(e,{values:t})}!function(e){e[e.NUMBER=0]=\"NUMBER\",e[e.BOOLEAN=1]=\"BOOLEAN\",e[e.STRING=2]=\"STRING\"}(Type||(Type={}));var URL_PROPERTIES=[{name:\"DEBUG\",type:Type.BOOLEAN},{name:\"IS_BROWSER\",type:Type.BOOLEAN},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",type:Type.NUMBER},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",type:Type.BOOLEAN},{name:\"WEBGL_VERSION\",type:Type.NUMBER},{name:\"WEBGL_RENDER_FLOAT32_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_FENCE_API_ENABLED\",type:Type.BOOLEAN},{name:\"BACKEND\",type:Type.STRING},{name:\"EPSILON\",type:Type.NUMBER}];function isWebGLVersionEnabled(e,t){var n;try{n=getWebGLRenderingContext(e,t)}catch(e){return!1}return null!=n&&(loseContext(n),!0)}function getWebGLDisjointQueryTimerVersion(e,t){if(0===e)return 0;var n,r=getWebGLRenderingContext(e,t);return n=hasExtension(r,\"EXT_disjoint_timer_query_webgl2\")&&2===e?2:hasExtension(r,\"EXT_disjoint_timer_query\")?1:0,null!=r&&loseContext(r),n}function isRenderToFloatTextureEnabled(e,t){if(0===e)return!1;var n=getWebGLRenderingContext(e,t);if(1===e){if(!hasExtension(n,\"OES_texture_float\"))return!1}else if(!hasExtension(n,\"EXT_color_buffer_float\"))return!1;var r=createFloatTextureAndBindToFramebuffer(n,e);return loseContext(n),r}function isDownloadFloatTextureEnabled(e,t){if(0===e)return!1;var n=getWebGLRenderingContext(e,t);if(1===e){if(!hasExtension(n,\"OES_texture_float\"))return!1;if(!hasExtension(n,\"WEBGL_color_buffer_float\"))return!1}else if(!hasExtension(n,\"EXT_color_buffer_float\"))return!1;var r=createFloatTextureAndBindToFramebuffer(n,e);return loseContext(n),r}function isWebGLFenceEnabled(e,t){if(2!==e)return!1;var n=getWebGLRenderingContext(e,t),r=null!=n.fenceSync;return loseContext(n),r}function isChrome(){return\"undefined\"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}var TENSORFLOWJS_FLAGS_PREFIX=\"tfjsflags\";function getFeaturesFromURL(){var e={};if(\"undefined\"==typeof window||void 0===window.location)return e;var t=getQueryParams(window.location.search);if(TENSORFLOWJS_FLAGS_PREFIX in t){var n={};t[TENSORFLOWJS_FLAGS_PREFIX].split(\",\").forEach(function(e){var t=e.split(\":\"),r=t[0],o=t[1];n[r]=o}),URL_PROPERTIES.forEach(function(t){t.name in n&&(console.log(\"Setting feature override from URL \"+t.name+\": \"+n[t.name]),t.type===Type.NUMBER?e[t.name]=+n[t.name]:t.type===Type.BOOLEAN?e[t.name]=\"true\"===n[t.name]:t.type===Type.STRING?e[t.name]=n[t.name]:console.warn(\"Unknown URL param: \"+t.name+\".\"))})}return e}function hasExtension(e,t){return null!=e.getExtension(t)}function getWebGLRenderingContext(e,t){if(0===e||!t)throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");var n=document.createElement(\"canvas\");return 1===e?n.getContext(\"webgl\")||n.getContext(\"experimental-webgl\"):n.getContext(\"webgl2\")}function loseContext(e){if(null!=e){var t=e.getExtension(\"WEBGL_lose_context\");if(null==t)throw new Error(\"Extension WEBGL_lose_context not supported on this browser.\");t.loseContext()}}function createFloatTextureAndBindToFramebuffer(e,t){var n=e.createFramebuffer(),r=e.createTexture();e.bindTexture(e.TEXTURE_2D,r);var o=2===t?e.RGBA32F:e.RGBA;e.texImage2D(e.TEXTURE_2D,0,o,1,1,0,e.RGBA,e.FLOAT,null),e.bindFramebuffer(e.FRAMEBUFFER,n),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,r,0);var a=e.checkFramebufferStatus(e.FRAMEBUFFER)===e.FRAMEBUFFER_COMPLETE;return e.bindTexture(e.TEXTURE_2D,null),e.bindFramebuffer(e.FRAMEBUFFER,null),e.deleteTexture(r),e.deleteFramebuffer(n),a}function getQueryParams(e){var t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];return decodeParam(t,n[0],n[1]),n.join(\"=\")}),t}function decodeParam(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||\"\")}var EPSILON_FLOAT16=.001,TEST_EPSILON_FLOAT16=.1,EPSILON_FLOAT32=1e-7,TEST_EPSILON_FLOAT32=.001,Environment=function(){function e(e){this.features={},this.engines={},this.registry={},null!=e&&(this.features=e),this.get(\"DEBUG\")&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")}return e.setBackend=function(e,t){if(void 0===t&&(t=!1),!(e in ENV.registry))throw new Error(\"Backend name '\"+e+\"' not found in registry\");ENV.initBackend(e,t)},e.getBackend=function(){return ENV.initDefaultBackend(),ENV.backendName},e.disposeVariables=function(){ENV.engine.disposeVariables()},e.memory=function(){return ENV.engine.memory()},e.profile=function(e){return ENV.engine.profile(e)},e.tidy=function(e,t,n){return void 0===n&&(n=!1),ENV.engine.tidy(e,t,n)},e.dispose=function(e){getTensorsInContainer(e).forEach(function(e){return e.dispose()})},e.keep=function(e){return ENV.engine.keep(e)},e.time=function(e){return ENV.engine.time(e)},e.prototype.get=function(e){return e in this.features?this.features[e]:(this.features[e]=this.evaluateFeature(e),this.features[e])},e.prototype.getFeatures=function(){return this.features},e.prototype.set=function(e,t){this.features[e]=t},e.prototype.getBestBackendName=function(){var e=this;if(0===Object.keys(this.registry).length)throw new Error(\"No backend found in registry.\");return Object.keys(this.registry).map(function(t){return{name:t,entry:e.registry[t]}}).sort(function(e,t){return t.entry.priority-e.entry.priority})[0].name},e.prototype.evaluateFeature=function(e){if(\"DEBUG\"===e)return!1;if(\"IS_BROWSER\"===e)return\"undefined\"!=typeof window;if(\"IS_NODE\"===e)return\"undefined\"!=typeof process&&void 0!==process.versions.node;if(\"IS_CHROME\"===e)return isChrome();if(\"IS_TEST\"===e)return!1;if(\"BACKEND\"===e)return this.getBestBackendName();if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"===e){var t=this.get(\"WEBGL_VERSION\");return 0===t?0:t>0?0:getWebGLDisjointQueryTimerVersion(t,this.get(\"IS_BROWSER\"))}if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\"===e)return this.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!isMobile();if(\"HAS_WEBGL\"===e)return this.get(\"WEBGL_VERSION\")>0;if(\"WEBGL_VERSION\"===e)return isWebGLVersionEnabled(2,this.get(\"IS_BROWSER\"))?2:isWebGLVersionEnabled(1,this.get(\"IS_BROWSER\"))?1:0;if(\"WEBGL_RENDER_FLOAT32_ENABLED\"===e)return isRenderToFloatTextureEnabled(this.get(\"WEBGL_VERSION\"),this.get(\"IS_BROWSER\"));if(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"===e)return isDownloadFloatTextureEnabled(this.get(\"WEBGL_VERSION\"),this.get(\"IS_BROWSER\"));if(\"WEBGL_FENCE_API_ENABLED\"===e)return isWebGLFenceEnabled(this.get(\"WEBGL_VERSION\"),this.get(\"IS_BROWSER\"));if(\"TEST_EPSILON\"===e)return 32===this.backend.floatPrecision()?TEST_EPSILON_FLOAT32:TEST_EPSILON_FLOAT16;if(\"EPSILON\"===e)return 32===this.backend.floatPrecision()?EPSILON_FLOAT32:EPSILON_FLOAT16;throw new Error(\"Unknown feature \"+e+\".\")},e.prototype.setFeatures=function(e){this.features=Object.assign({},e)},e.prototype.reset=function(){this.features=getFeaturesFromURL(),null!=this.globalEngine&&(this.globalEngine=null)},e.prototype.initBackend=function(e,t){var n=this;if(void 0===t&&(t=!1),this.backendName=e,this.engines[e])this.globalEngine=this.engines[e];else{var r=this.findBackend(e);this.globalEngine=new Engine(r,t,function(){return n.get(\"DEBUG\")}),this.engines[e]=this.globalEngine}},Object.defineProperty(e.prototype,\"backend\",{get:function(){return this.engine.backend},enumerable:!0,configurable:!0}),e.prototype.findBackend=function(e){return e in this.registry?this.registry[e].backend:null},e.prototype.registerBackend=function(e,t,n,r){var o=this;if(void 0===n&&(n=1),e in this.registry)return console.warn(e+\" backend was already registered. Reusing existing backend\"),null!=r&&r(function(){return o.engine}),!1;try{var a=t();return this.registry[e]={backend:a,priority:n},!0}catch(t){return console.warn(\"Registration of backend \"+e+\" failed\"),console.warn(t.stack||t.message),!1}},e.prototype.removeBackend=function(e){if(!(e in this.registry))throw new Error(e+\" backend not found in registry\");this.registry[e].backend.dispose(),delete this.registry[e],e in this.engines&&delete this.engines[e]},Object.defineProperty(e.prototype,\"engine\",{get:function(){return this.initDefaultBackend(),this.globalEngine},enumerable:!0,configurable:!0}),e.prototype.initDefaultBackend=function(){null==this.globalEngine&&this.initBackend(this.get(\"BACKEND\"),!1)},e}();function getGlobalNamespace(){var e;if(\"undefined\"!=typeof window)e=window;else{if(\"undefined\"==typeof process)throw new Error(\"Could not find a global object\");e=process}return e}function getOrMakeEnvironment(){var e=getGlobalNamespace();return null==e.ENV&&(e.ENV=new Environment(getFeaturesFromURL()),setTensorTracker(function(){return e.ENV.engine})),e.ENV}var ENV=getOrMakeEnvironment(),environment=Object.freeze({Environment:Environment,ENV:ENV});function grad(e){return assert(isFunction(e),\"The f passed in grad(f) must be a function\"),function(t,n){return assert(t instanceof Tensor,\"The x passed in grad(f)(x) must be a tensor\"),assert(null==n||n instanceof Tensor,\"The dy passed in grad(f)(x, dy) must be a tensor\"),ENV.engine.tidy(function(){var r=ENV.engine.gradients(function(){return e(t)},[t],n),o=r.value,a=r.grads;return null!=n&&assertShapesMatch(o.shape,n.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),checkGrads(a),a[0]})}}function grads(e){return assert(isFunction(e),\"The f passed in grads(f) must be a function\"),function(t,n){return assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in grads(f)(args) must be an array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in grads(f)(args, dy) must be a tensor\"),ENV.engine.tidy(function(){var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n),o=r.value,a=r.grads;return null!=n&&assertShapesMatch(o.shape,n.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(a),a})}}function valueAndGrad(e){return assert(isFunction(e),\"The f passed in valueAndGrad(f) must be a function\"),function(t,n){assert(t instanceof Tensor,\"The x passed in valueAndGrad(f)(x) must be a tensor\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e(t)},[t],n),o=r.grads,a=r.value;return checkGrads(o),{grad:o[0],value:a}}}function valueAndGrads(e){return assert(isFunction(e),\"The f passed in valueAndGrads(f) must be a function\"),function(t,n){assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n);return null!=n&&assertShapesMatch(r.value.shape,n.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(r.grads),r}}function variableGrads(e,t){if(assert(isFunction(e),\"The f passed in variableGrads(f) must be a function\"),assert(null==t||Array.isArray(t)&&t.every(function(e){return e instanceof Variable}),\"The varList passed in variableGrads(f, varList) must be an array of variables\"),null==t)for(var n in t=[],ENV.engine.registeredVariables)t.push(ENV.engine.registeredVariables[n]);var r=t.length;assert((t=t.filter(function(e){return e.trainable})).length>0,\"variableGrads() expects at least one of the input variables to be trainable, but none of the \"+r+\" variables is trainable.\");var o=ENV.engine.gradients(e,t,null,!0),a=o.value,i=o.grads;assert(i.some(function(e){return null!=e}),\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),assert(0===a.rank,\"The f passed in variableGrads(f) must return a scalar, but it returned a rank-\"+a.rank+\" tensor\");var s={};return t.forEach(function(e,t){null!=i[t]&&(s[e.name]=i[t])}),{value:a,grads:s}}function customGrad(e){return ENV.engine.customGrad(e)}function checkGrads(e){if(e.filter(function(e){return null==e}).length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that\\n    the f you passed encloses all operations that lead from x to y.\")}var tidy=Environment.tidy,keep=Environment.keep,dispose=Environment.dispose,time=Environment.time,profile=Environment.profile;function warn(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.get(\"IS_TEST\")||console.warn.apply(console,e)}function getReshaped(e,t,n,r){void 0===r&&(r=!0);var o=[];if(r)(o=o.concat(t.slice(0))).push(e[0]/n),o=o.concat(e.slice(1));else{o=o.concat(e[0]);for(var a=t.length,i=0;i<a;++i)o=o.concat([e[i+1]/t[i],t[i]]);o=o.concat(e.slice(a+1))}return o}function getPermuted(e,t,n){void 0===n&&(n=!0);var r=[];if(n){r.push(t);for(var o=t+1;o<e;++o)o<=2*t?(r.push(o),r.push(o-(t+1))):r.push(o)}else{var a=[],i=[];for(o=1;o<e;++o)o>=2*t+1||o%2==1?i.push(o):a.push(o);r.push.apply(r,a),r.push(0),r.push.apply(r,i)}return r}function getReshapedPermuted(e,t,n,r){void 0===r&&(r=!0);var o=[];r?o.push(e[0]/n):o.push(e[0]*n);for(var a=1;a<e.length;++a)a<=t.length?r?o.push(t[a-1]*e[a]):o.push(e[a]/t[a-1]):o.push(e[a]);return o}function getSliceBeginCoords(e,t){for(var n=[0],r=0;r<t;++r)n.push(e[r][0]);return n}function getSliceSize(e,t,n){for(var r=e.slice(0,1),o=0;o<n;++o)r.push(e[o+1]-t[o][0]-t[o][1]);return r}function axesAreInnerMostDims(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function combineLocations(e,t,n){for(var r=e.length+t.length,o=[],a=0,i=0,s=0;s<r;s++)-1===n.indexOf(s)?o.push(e[a++]):o.push(t[i++]);return o}function computeOutAndReduceShapes(e,t){for(var n=[],r=e.length,o=0;o<r;o++)-1===t.indexOf(o)&&n.push(e[o]);return[n,t.map(function(t){return e[t]})]}function expandShapeToKeepDim(e,t){return combineLocations(e,t.map(function(e){return 1}),t)}function parseAxisParam(e,t){var n=t.length;return assert((e=null==e?t.map(function(e,t){return t}):[].concat(e)).every(function(e){return e>=-n&&e<n}),\"All values in axis param must be in range [-\"+n+\", \"+n+\") but got axis \"+e),assert(e.every(function(e){return isInt(e)}),\"All values in axis param must be integers but got axis \"+e),e.map(function(e){return e<0?n+e:e})}function assertAxesAreInnerMostDims(e,t,n){assert(axesAreInnerMostDims(t,n),e+\" supports only inner-most axes for now. Got axes \"+t+\" and rank-\"+n+\" input.\")}function getAxesPermutation(e,t){if(axesAreInnerMostDims(e,t))return null;for(var n=[],r=0;r<t;++r)-1===e.indexOf(r)&&n.push(r);return e.forEach(function(e){return n.push(e)}),n}function getUndoAxesPermutation(e){return e.map(function(e,t){return[t,e]}).sort(function(e,t){return e[1]-t[1]}).map(function(e){return e[0]})}function getInnerMostAxes(e,t){for(var n=[],r=t-e;r<t;++r)n.push(r);return n}function assertParamsConsistent(e,t){var n=e[0].length;e.forEach(function(e,t){assert(e.length===n,\"Error in concat\"+n+\"D: rank of tensors[\"+t+\"] must be the same as the rank of the rest (\"+n+\")\")}),assert(t>=0&&t<n,\"Error in concat\"+n+\"D: axis must be between 0 and \"+(n-1)+\".\");var r=e[0];e.forEach(function(e,o){for(var a=0;a<n;a++)assert(a===t||e[a]===r[a],\"Error in concat\"+n+\"D: Shape of tensors[\"+o+\"] (\"+e+\") does not match the shape of the rest (\"+r+\") along the non-concatenated axis \"+o+\".\")})}function computeOutShape(e,t){for(var n=e[0].slice(),r=1;r<e.length;r++)n[t]+=e[r][t];return n}var PARALLELIZE_THRESHOLD=30;function computeOptimalWindowSize(e){return e<=PARALLELIZE_THRESHOLD?e:nearestDivisor(e,Math.floor(Math.sqrt(e)))}function segOpComputeOptimalWindowSize(e,t){var n,r=!1;for(e<=PARALLELIZE_THRESHOLD?(n=e,r=!0):n=nearestDivisor(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=nearestDivisor(e,n+1)}return n}function computeOutShape$1(e,t,n){for(var r=[],o=e.length,a=0;a<o;a++)a!==t?r.push(e[a]):r.push(n);return r}function assertParamsValid(e,t,n){assert(e.rank===t.length,\"Error in slice\"+e.rank+\"D: Length of begin \"+t+\" must match the rank of the array (\"+e.rank+\").\"),assert(e.rank===n.length,\"Error in slice\"+e.rank+\"D: Length of size \"+n+\" must match the rank of the array (\"+e.rank+\").\");for(var r=0;r<e.rank;++r)assert(t[r]+n[r]<=e.shape[r],\"Error in slice\"+e.rank+\"D: begin[\"+r+\"] + size[\"+r+\"] (\"+(t[r]+n[r])+\") would overflow input.shape[\"+r+\"] (\"+e.shape[r]+\")\")}function getStridedSlicedInfo(e,t,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");for(var l=[],c=[],p=[],d=0;d<e.length;d++)l[d]=startForAxis(o,t,r,e,d),c[d]=stopForAxis(a,n,r,e,d),u&1<<d&&(c[d]=l[d]+1,p.push(d));var h=new Array(e.length).fill(0);return h=h.map(function(e,t){for(var n=0,o=l[t];!(r[t]>0?o>=c[t]:o<=c[t]);o+=r[t])n+=1;return n}),[l,h,p]}function startForAxis(e,t,n,r,o){var a=t[o];e&1<<o&&(a=n[o]>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var i=r[o];return a<0&&(a+=i),a=clamp(0,a,i-1)}function stopForAxis(e,t,n,r,o){var a=t[o];e&1<<o&&(a=n[o]>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var i=r[o];return a<0&&(a+=i),a=n[o]>0?clamp(0,a,i):clamp(-1,a,i-1)}function convertToTensor(e,t,n,r){if(void 0===r&&(r=\"float32\"),r=r||\"float32\",e instanceof Tensor)return e;if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"Argument '\"+t+\"' passed to '\"+n+\"' must be a Tensor or TensorLike, but got \"+e.constructor.name);var o=inferShape(e);return isTypedArray(e)||Array.isArray(e)||(e=[e]),Tensor.make(o,{values:toTypedArray(e,r,ENV.get(\"DEBUG\"))},r)}function convertToTensorArray(e,t,n){if(!Array.isArray(e))throw new Error(\"Argument \"+t+\" passed to \"+n+\" must be a `Tensor[]` or `TensorLike[]`\");return e.map(function(e,r){return convertToTensor(e,t+\"[\"+r+\"]\",n)})}function op(e){var t=Object.keys(e);if(1!==t.length)throw new Error(\"Please provide an object with a single key (operation name) mapping to a function. Got an object with \"+t.length+\" keys.\");var n=t[0],r=e[n];n.endsWith(\"_\")&&(n=n.substring(0,n.length-1));var o=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];ENV.engine.startScope(n);try{var o=r.apply(void 0,e);return o instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),ENV.engine.endScope(o),o}catch(e){throw ENV.engine.endScope(null),e}};return Object.defineProperty(o,\"name\",{value:n,configurable:!0}),o}function softmax_(e,t){void 0===t&&(t=-1);var n=convertToTensor(e,\"logits\",\"softmax\");if(-1===t&&(t=n.rank-1),t!==n.rank-1)throw Error(\"Softmax along a non-last dimension is not yet supported. Logits was rank \"+n.rank+\" and dim was \"+t);return customGrad(function(e){var n=e.logSumExp([t],!0),r=e.toFloat().sub(n).exp();return{value:r,gradFunc:function(e){var n=e.mul(r);return n.sub(n.sum([t],!0).mul(r))}}})(n)}var softmax=op({softmax_:softmax_});function complex_(e,t){var n=convertToTensor(e,\"real\",\"complex\"),r=convertToTensor(t,\"imag\",\"complex\");return assertShapesMatch(n.shape,r.shape,\"real and imag shapes, \"+n.shape+\" and \"+r.shape+\", must match in call to tf.complex().\"),ENV.engine.runKernel(function(e){return e.complex(n,r)},{$real:n,$imag:r})}function real_(e){var t=convertToTensor(e,\"input\",\"real\");return ENV.engine.runKernel(function(e){return e.real(t)},{$input:t})}function imag_(e){var t=convertToTensor(e,\"input\",\"imag\");return ENV.engine.runKernel(function(e){return e.imag(t)},{$input:t})}var complex=op({complex_:complex_}),real=op({real_:real_}),imag=op({imag_:imag_});function tensor(e,t,n){if(void 0===n&&(n=\"float32\"),\"complex64\"===n)throw new Error(\"Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).\");if(!isTypedArray(e)&&!Array.isArray(e)&&\"number\"!=typeof e&&\"boolean\"!=typeof e)throw new Error(\"values passed to tensor(values) must be an array of numbers or booleans, or a TypedArray\");var r=inferShape(e);return null!=t&&1!==r.length&&assertShapesMatch(t,r,\"Error creating a new Tensor. Inferred shape (\"+r+\") does not match the provided shape (\"+t+\"). \"),isTypedArray(e)||Array.isArray(e)||(e=[e]),t=t||r,Tensor.make(t,{values:toTypedArray(e,n,ENV.get(\"DEBUG\"))},n)}function scalar(e,t){if(void 0===t&&(t=\"float32\"),(isTypedArray(e)||Array.isArray(e))&&\"complex64\"!==t)throw new Error(\"Error creating a new Scalar: value must be a primitive (number|boolean)\");return tensor(e,[],t)}function tensor1d(e,t){void 0===t&&(t=\"float32\"),assertNonNull(e);var n=inferShape(e);if(1!==n.length)throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return tensor(e,n,t)}function tensor2d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&2!==t.length)throw new Error(\"tensor2d() requires shape to have two numbers\");var r=inferShape(e);if(2!==r.length&&1!==r.length)throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return tensor(e,t=t||r,n)}function tensor3d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&3!==t.length)throw new Error(\"tensor3d() requires shape to have three numbers\");var r=inferShape(e);if(3!==r.length&&1!==r.length)throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function tensor4d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&4!==t.length)throw new Error(\"tensor4d() requires shape to have four numbers\");var r=inferShape(e);if(4!==r.length&&1!==r.length)throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function tensor5d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&5!==t.length)throw new Error(\"tensor5d() requires shape to have five numbers\");var r=inferShape(e);if(5!==r.length&&1!==r.length)throw new Error(\"tensor5d() requires values to be number[][][][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function tensor6d(e,t,n){if(void 0===n&&(n=\"float32\"),assertNonNull(e),null!=t&&6!==t.length)throw new Error(\"tensor6d() requires shape to have six numbers\");var r=inferShape(e);if(6!==r.length&&1!==r.length)throw new Error(\"tensor6d() requires values to be number[][][][] or flat/TypedArray\");if(1===r.length&&null==t)throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return tensor(e,t=t||r,n)}function ones$1(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var n=ones$1(e,\"float32\"),r=ones$1(e,\"float32\");return complex(n,r)}var o=makeOnesTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function zeros(e,t){if(void 0===t&&(t=\"float32\"),\"complex64\"===t){var n=zeros(e,\"float32\"),r=zeros(e,\"float32\");return complex(n,r)}var o=makeZerosTypedArray(sizeFromShape(e),t);return Tensor.make(e,{values:o},t)}function fill(e,t,n){void 0===n&&(n=\"float32\");var r=getTypedArrayFromDType(n,sizeFromShape(e));return r.fill(t),Tensor.make(e,{values:r},n)}function onesLike_(e){var t=convertToTensor(e,\"x\",\"onesLike\");return ones$1(t.shape,t.dtype)}function zerosLike_(e){var t=convertToTensor(e,\"x\",\"zerosLike\");return zeros(t.shape,t.dtype)}function linspace(e,t,n){if(0===n)throw new Error(\"Cannot request zero samples\");var r=(t-e)/(n-1),o=makeZerosTypedArray(n,\"float32\");o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+r;return tensor1d(o,\"float32\")}function range(e,t,n,r){if(void 0===n&&(n=1),void 0===r&&(r=\"float32\"),0===n)throw new Error(\"Cannot have a step of zero\");if(e===t||e<t&&n<0||t<e&&n>1)return zeros([0],r);var o=makeZerosTypedArray(Math.abs(Math.ceil((t-e)/n)),r);t<e&&1===n&&(n=-1),o[0]=e;for(var a=1;a<o.length;a++)o[a]=o[a-1]+n;return tensor1d(o,r)}var DType,Rank,UpcastInt32AndMap,UpcastBoolAndMap,UpcastFloat32AndMap,UpcastComplex64AndMap,onesLike=op({onesLike_:onesLike_}),zerosLike=op({zerosLike_:zerosLike_});!function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\"}(DType||(DType={})),function(e){e.R0=\"R0\",e.R1=\"R1\",e.R2=\"R2\",e.R3=\"R3\",e.R4=\"R4\",e.R5=\"R5\",e.R6=\"R6\"}(Rank||(Rank={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"int32\",e.complex64=\"complex64\"}(UpcastInt32AndMap||(UpcastInt32AndMap={})),function(e){e.float32=\"float32\",e.int32=\"int32\",e.bool=\"bool\",e.complex64=\"complex64\"}(UpcastBoolAndMap||(UpcastBoolAndMap={})),function(e){e.float32=\"float32\",e.int32=\"float32\",e.bool=\"float32\",e.complex64=\"complex64\"}(UpcastFloat32AndMap||(UpcastFloat32AndMap={})),function(e){e.float32=\"complex64\",e.int32=\"complex64\",e.bool=\"complex64\",e.complex64=\"complex64\"}(UpcastComplex64AndMap||(UpcastComplex64AndMap={}));var upcastTypeMap={float32:UpcastFloat32AndMap,int32:UpcastInt32AndMap,bool:UpcastBoolAndMap,complex64:UpcastComplex64AndMap};function upcastType(e,t){return upcastTypeMap[e][t]}function sumOutType(e){return upcastType(e,\"int32\")}function castTensor(e,t,n){if(\"complex64\"===t){if(\"complex64\"===e.dtype)return e.clone();var r=zeros(e.shape),o=e.toFloat(),a=n.complex(o,r);return r.dispose(),o.dispose(),a}if(!hasEncodingLoss(e.dtype,t))return Tensor.make(e.shape,{dataId:e.dataId},t);if(\"complex64\"===e.dtype){var i=n.real(e);a=i.cast(t);return i.dispose(),a}if(\"int32\"===t)return n.int(e);if(\"bool\"===t){var s=scalar(0,e.dtype);a=n.notEqual(e,s);return s.dispose(),a}throw new Error(\"Error in Cast: unknown dtype argument (\"+t+\")\")}function reshapeTensor(e,t){return Tensor.make(t,{dataId:e.dataId},e.dtype)}function mergeRealAndImagArrays(e,t){if(e.length!==t.length)throw new Error(\"Cannot merge real and imag arrays of different lengths. real:\"+e.length+\", imag: \"+t.length+\".\");for(var n=new Float32Array(2*e.length),r=0;r<n.length;r+=2)n[r]=e[r/2],n[r+1]=t[r/2];return n}function nonMaxSuppressionImpl(e,t,n,r,o){for(var a=Array.from(t).map(function(e,t){return{score:e,boxIndex:t}}).filter(function(e){return e.score>o}).sort(function(e,t){return t.score-e.score}),i=[],s=0;s<a.length;s++){var u=a[s],l=u.score,c=u.boxIndex;if(l<o)break;for(var p=!1,d=i.length-1;d>=0;--d){if(intersectionOverUnion(e,c,i[d])>=r){p=!0;break}}if(!p&&(i.push(c),i.length>=n))break}return tensor1d(i,\"int32\")}function intersectionOverUnion(e,t,n){var r=e.subarray(4*t,4*t+4),o=e.subarray(4*n,4*n+4),a=Math.min(r[0],r[2]),i=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),l=Math.min(o[0],o[2]),c=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),d=Math.max(o[1],o[3]),h=(s-a)*(u-i),f=(p-l)*(d-c);if(h<=0||f<=0)return 0;var m=Math.max(a,l),g=Math.max(i,c),v=Math.min(s,p),x=Math.min(u,d),y=Math.max(v-m,0)*Math.max(x-g,0);return y/(h+f-y)}function split(e,t,n){var r=Array(e.rank).fill(0),o=e.shape.slice();return t.map(function(t){o[n]=t;var a=e.slice(r,o);return r[n]+=t,a})}function topkImpl(e,t,n,r,o){for(var a=t[t.length-1],i=[e.length/a,a],s=i[0],u=i[1],l=getTypedArrayFromDType(n,s*r),c=getTypedArrayFromDType(\"int32\",s*r),p=0;p<s;p++){for(var d=p*u,h=e.subarray(d,d+u),f=[],m=0;m<h.length;m++)f.push({value:h[m],index:m});f.sort(function(e,t){return t.value-e.value});var g=p*r,v=l.subarray(g,g+r),x=c.subarray(g,g+r);for(m=0;m<r;m++)v[m]=f[m].value,x[m]=f[m].index}var y=t.slice();return y[y.length-1]=r,[tensor(l,y,n),tensor(c,y,\"int32\")]}var ArgMinMaxProgram=function(){return function(e,t,n){this.variableNames=[\"A\"];var r=e.windowSize,o=e.batchSize,a=e.inSize,i=Math.ceil(a/r);n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[o,i];var s=\"max\"===t?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+r+\";\\n\\n        int bestIndex = 0;\\n        float bestValue = getA(batch, inOffset);\\n\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          int inIdx = \"+u+\";\\n          float candidate = getA(batch, inIdx);\\n          if (candidate \"+s+\" bestValue) {\\n            bestValue = candidate;\\n            bestIndex = inIdx;\\n          }\\n        }\\n        setOutput(float(bestIndex));\\n      }\\n    \"}}(),AvgPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=1/(t*n);this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n      const float avgMultiplier = float(\"+s+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n\\n            dotProd += dyValue * avgMultiplier;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}();function getBroadcastDims(e,t){for(var n=e.length,r=[],o=0;o<n;o++){var a=n-1-o,i=e[a]||1;(t[t.length-1-o]||1)>1&&1===i&&r.unshift(a)}return r}function getReductionAxes(e,t){for(var n=[],r=0;r<t.length;r++){var o=e[e.length-r-1],a=t.length-r-1,i=t[a];(null==o||1===o&&i>1)&&n.unshift(a)}return n}function broadcastDimsAreOuter(e){for(var t=0;t<e.length;t++)if(e[t]!==t)return!1;return!0}function assertAndGetBroadcastShape(e,t){for(var n=[],r=Math.max(e.length,t.length),o=0;o<r;o++){var a=e[e.length-o-1];null==a&&(a=1);var i=t[t.length-o-1];if(null==i&&(i=1),1===a)n.unshift(i);else if(1===i)n.unshift(a);else{if(a!==i)throw Error(\"Operands could not be broadcast together with shapes \"+e+\" and \"+t+\".\");n.unshift(a)}}return n}var BatchNormProgram=function(){return function(e,t,n,r,o,a){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,n);var i=\"0.0\";null!=r&&(assertAndGetBroadcastShape(e,r),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");var s=\"1.0\";null!=o&&(assertAndGetBroadcastShape(e,o),this.variableNames.push(\"scale\"),s=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float x = getXAtOutCoords();\\n        float mean = getMeanAtOutCoords();\\n        float variance = getVarianceAtOutCoords();\\n        float offset = \"+i+\";\\n        float scale = \"+s+\";\\n        float inv = scale * inversesqrt(variance + float(\"+a+\"));\\n        setOutput((x - mean) * inv + offset);\\n      }\\n    \"}}(),COMPLEX_MULTIPLY={REAL:\"return areal * breal - aimag * bimag;\",IMAG:\"return areal * bimag + aimag * breal;\"},BinaryOpComplexProgram=function(){return function(e,t,n){this.variableNames=[\"AReal\",\"AImag\",\"BReal\",\"BImag\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,n),this.userCode=\"\\n      float binaryOpComplex(\\n          float areal, float aimag, float breal, float bimag) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float areal = getARealAtOutCoords();\\n        float aimag = getAImagAtOutCoords();\\n        float breal = getBRealAtOutCoords();\\n        float bimag = getBImagAtOutCoords();\\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET=\"\\n  if (isNaN(a)) return a;\\n  if (isNaN(b)) return b;\\n\",ADD=\"return a + b;\",SUB=\"return a - b;\",MUL=\"return a * b;\",DIV=\"if (a == b) return 1.0;\\n  return a / b;\",INT_DIV=\"\\n  float resultSign = sign(a) * sign(b);\\n  int ia = round(a);\\n  int ib = round(b);\\n  int result = ia / ib;\\n  int amodb = ia - ib * result;\\n\\n  if (resultSign < 0.0 && amodb != 0) {\\n    result -= 1;\\n  }\\n  return float(result);\\n\",POW=\"\\nif(a < 0.0 && floor(b) < b){\\n  return NAN;\\n}\\nreturn (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\\n\",SQUARED_DIFFERENCE=\"return (a - b) * (a - b);\",EQUAL=\"return float(a == b);\",NOT_EQUAL=\"return float(a != b);\",LESS=\"return float(a < b);\",LESS_EQUAL=\"return float(a <= b);\",GREATER=\"return float(a > b);\",GREATER_EQUAL=\"return float(a >= b);\",LOGICAL_AND=\"return float(a >= 1.0 && b >= 1.0);\",LOGICAL_OR=\"return float(a >= 1.0 || b >= 1.0);\",MAX=CHECK_NAN_SNIPPET+\"\\n  return max(a, b);\\n\",MIN=CHECK_NAN_SNIPPET+\"\\n  return min(a, b);\\n\",MOD=\"if (b == 0.0) return NAN;\\n  return mod(a, b);\",ATAN2=CHECK_NAN_SNIPPET+\"\\n  return atan(a, b);\\n\",ELU_DER=\"return (b >= 1.0) ? a : a * (b + 1.0);\",BinaryOpProgram=function(){function e(e,t,n){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,n),this.userCode=\"\\n      uniform float NAN;\\n      float binaryOperation(float a, float b) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float a = getAAtOutCoords();\\n        float b = getBAtOutCoords();\\n        setOutput(binaryOperation(a, b));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),ClipProgram=function(){return function(e,t,n){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float value = getAAtOutCoords();\\n        if (isNaN(value)) {\\n          setOutput(value);\\n          return;\\n        }\\n\\n        setOutput(clamp(value, float(\"+t+\"), float(\"+n+\")));\\n      }\\n    \"}}(),ConcatProgram=function(){return function(e,t){this.variableNames=[\"A\",\"B\"],this.outputShape=[],this.outputShape=computeOutShape([e,t],1),this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int yR = coords.x;\\n        int yC = coords.y;\\n\\n        float value = 0.0;\\n        if (yC < \"+e[1]+\") {\\n          value = getA(yR, yC);\\n        } else {\\n          yC -= \"+e[1]+\";\\n          value = getB(yR, yC);\\n        }\\n\\n        setOutput(value);\\n      }\\n    \"}}(),Conv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,o=e.padInfo.left;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int d2 = coords.w;\\n\\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            for (int d2 = 0; d2 < \"+e.outChannels+\"; d2++) {\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,o=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int dm = coords.w;\\n        int d2 = d1 * \"+a+\" + dm;\\n\\n        float dotProd = 0.0;\\n\\n        // TODO: Vec4 over the batch size\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+o+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        float dotProd = 0.0;\\n\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            // TODO: Vec4 over the channelMul\\n            for (int dm = 0; dm < \"+s+\"; dm++) {\\n              int d2 = d1 * \"+s+\" + dm;\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+r+\", \"+o+\");\\n      const ivec2 pads = ivec2(\"+t+\", \"+n+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d2 = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\"; wR++) {\\n          int xR = xRCorner + wR * \"+a+\";\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+u+\"; wC++) {\\n            int xC = xCCorner + wC * \"+i+\";\\n\\n            if (xC < 0 || xC >= \"+e.inWidth+\") {\\n              continue;\\n            }\\n\\n            for (int d1 = 0; d1 < \"+l+\"; d1 += 4) {\\n              vec4 xValues = vec4(\\n                getX(batch, xR, xC, d1),\\n                getX(batch, xR, xC, d1 + 1),\\n                getX(batch, xR, xC, d1 + 2),\\n                getX(batch, xR, xC, d1 + 3)\\n              );\\n              vec4 wValues = vec4(\\n                getW(wR, wC, d1, d2),\\n                getW(wR, wC, d1 + 1, d2),\\n                getW(wR, wC, d1 + 2, d2),\\n                getW(wR, wC, d1 + 3, d2)\\n              );\\n\\n              dotProd += dot(xValues, wValues);\\n            }\\n\\n            if (\"+(1===c)+\") {\\n              dotProd +=\\n                getX(batch, xR, xC, \"+l+\") *\\n                getW(wR, wC, \"+l+\", d2);\\n            } else if (\"+(2===c)+\") {\\n              vec2 xValues = vec2(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1)\\n              );\\n              vec2 wValues = vec2(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            } else if (\"+(3===c)+\") {\\n              vec3 xValues = vec3(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1),\\n                getX(batch, xR, xC, \"+l+\" + 2)\\n              );\\n              vec3 wValues = vec3(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2),\\n                getW(wR, wC, \"+l+\" + 2, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,o=e.padInfo.left,a=e.strideHeight,i=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,p=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+r+\", \"+o+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords.x;\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int d2 = coords.w;\\n        int d1 = d2 / \"+p+\";\\n        int q = d2 - d1 * \"+p+\";\\n\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\\n        for (int wR = 0; wR < \"+l+\"; wR++) {\\n          int xR = xRCorner + wR * \"+s+\";\\n\\n          if (xR < 0 || xR >= \"+t+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+c+\"; wC++) {\\n            int xC = xCCorner + wC * \"+u+\";\\n\\n            if (xC < 0 || xC >= \"+n+\") {\\n              continue;\\n            }\\n\\n            float xVal = getX(batch, xR, xC, d1);\\n            float wVal = getW(wR, wC, d1, q);\\n            dotProd += xVal * wVal;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),CropAndResizeProgram=function(){return function(e,t,n,r,o){this.variableNames=[\"Image\",\"Boxes\",\"BoxInd\"],this.outputShape=[];var a=e[0],i=e[1],s=e[2],u=e[3],l=t[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var d=\"bilinear\"===r?1:0,h=[i-1+\".0\",s-1+\".0\"],f=h[0],m=h[1],g=c>1?[\"\"+(i-1)/(c-1),\"(y2-y1) * height_ratio\",\"y1*\"+f+\" + float(y)*(height_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (y1+y2) * \"+f],v=g[0],x=g[1],y=g[2],T=p>1?[\"\"+(s-1)/(p-1),\"(x2-x1) * width_ratio\",\"x1*\"+m+\" + float(x)*(width_scale)\"]:[\"0.0\",\"0.0\",\"0.5 * (x1+x2) * \"+m],b=T[0],S=T[1],E=T[2];this.userCode=\"\\n      const float height_ratio = float(\"+v+\");\\n      const float width_ratio = float(\"+b+\");\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int y = coords[1];\\n        int x = coords[2];\\n        int d = coords[3];\\n\\n        // get box vals\\n        float y1 = getBoxes(b,0);\\n        float x1 = getBoxes(b,1);\\n        float y2 = getBoxes(b,2);\\n        float x2 = getBoxes(b,3);\\n\\n        // get image in batch index\\n        int bInd = round(getBoxInd(b));\\n        if(bInd < 0 || bInd >= \"+a+\") {\\n          return;\\n        }\\n\\n        float height_scale = \"+x+\";\\n        float width_scale = \"+S+\";\\n\\n        float in_y = \"+y+\";\\n        if( in_y < 0.0 || in_y > \"+f+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n        float in_x = \"+E+\";\\n        if( in_x < 0.0 || in_x > \"+m+\" ) {\\n          setOutput(float(\"+o+\"));\\n          return;\\n        }\\n\\n        vec2 sourceFracIndexRC = vec2(in_y,in_x);\\n        if(\"+d+\" == 1) {\\n          // Compute the four integer indices.\\n          ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n          ivec2 sourceCeilRC = ivec2(ceil(sourceFracIndexRC));\\n\\n          float topLeft = getImage(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n          float bottomLeft = getImage(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n          float topRight = getImage(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n          float bottomRight = getImage(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n          vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n          float top = topLeft + (topRight - topLeft) * fracRC.y;\\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n          float newValue = top + (bottom - top) * fracRC.x;\\n          setOutput(newValue);\\n        } else {\\n          // Compute the coordinators of nearest neighbor point.\\n          ivec2 sourceNearestRC = ivec2(floor(\\n            sourceFracIndexRC + vec2(0.5,0.5)));\\n          float newValue = getImage(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n          setOutput(newValue);\\n        }\\n      }\\n    \"}}();function makeShader(e,t,n,r){var o=e.map(function(e){var t=sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?\"uniform float \"+e.name+(t>1?\"[\"+t+\"]\":\"\")+\";\":\"uniform sampler2D \"+e.name+\";\"});o=o.join(\"\\n\");var a,i=e.map(function(e){return getInputSamplingSnippet(e,t,r)}).join(\"\\n\"),s=t.texShape;return a=t.isPacked?getPackedOutputSamplingSnippet(t.logicalShape,s):getOutputSamplingSnippet(t.logicalShape,s),[SHADER_PREFIX,FLOAT_TEXTURE_SAMPLE_SNIPPET,FLOAT_TEXTURE_SETOUTPUT_SNIPPET,o,a,i,n].join(\"\\n\")}function getSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return getSamplerScalar(e);case 1:return getSampler1D(e);case 2:return getSampler2D(e);case 3:return getSampler3D(e);case 4:return getSampler4D(e);case 5:return getSampler5D(e);case 6:return getSampler6D(e);default:throw new Error(t.length+\"-D input sampling is not yet supported\")}}function getInputSamplingSnippet(e,t,n){var r=getSamplerFlat(e);return r+=getSamplerFromInInfo(e),(n||arraysEqual(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=getSamplerAtOutputCoords(e,t,n)),r}function getPackedOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 2:return getOutputPacked2DCoords(e,t);default:throw new Error(e.length+\"-D output packed sampling is not yet supported\")}}function getOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutput1DCoords(e,t);case 2:return getOutput2DCoords(e,t);case 3:return getOutput3DCoords(e,t);case 4:return getOutput4DCoords(e,t);case 5:return getOutput5DCoords(e,t);case 6:return getOutput6DCoords(e,t);default:throw new Error(e.length+\"-D output sampling is not yet supported\")}}var SAMPLE_1D_SNIPPET=\"\\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_2D_SNIPPET=\"\\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\\n  int index = row * numC + col;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_3D_SNIPPET=\"\\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\\n    int stride1, int row, int col, int depth) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_4D_SNIPPET=\"\\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int row, int col, int depth,\\n    int depth2) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_5D_SNIPPET=\"\\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int row, int col, int depth,\\n    int depth2, int depth3) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 +\\n              depth * stride2 + depth2 * stride3 + depth3;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_6D_SNIPPET=\"\\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int stride4,\\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\\n    stride3 + depth3 * stride4 + depth4;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",FLOAT_TEXTURE_SAMPLE_SNIPPET=\"\\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n    return texture2D(textureSampler, uv).r;\\n  }\\n\",FLOAT_TEXTURE_SETOUTPUT_SNIPPET=\"\\n  void setOutput(float val) {\\n    gl_FragColor = vec4(val, 0, 0, 0);\\n  }\\n\",SHADER_PREFIX=\"\\n  precision highp float;\\n  precision highp int;\\n  varying vec2 resultUV;\\n  const vec2 halfCR = vec2(0.5, 0.5);\\n\\n  struct ivec5\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n  };\\n\\n  struct ivec6\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n    int v;\\n  };\\n\\n  bool isNaN(float val) {\\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : true;\\n  }\\n\\n  bool hasNaN(vec4 values) {\\n    vec4 v1 = values * values;\\n    vec4 v2 = values * values;\\n    return any(notEqual(v1, v2));\\n  }\\n\\n  float getNaN(vec4 values) {\\n    return dot(vec4(1), values);\\n  }\\n\\n  int round(float value) {\\n    return int(floor(value + 0.5));\\n  }\\n\\n  int imod(int x, int y) {\\n    return x - y * (x / y);\\n  }\\n\\n  //Based on the work of Dave Hoskins\\n  //https://www.shadertoy.com/view/4djSRW\\n  #define HASHSCALE1 443.8975\\n  float random(float seed){\\n    vec2 p = resultUV * seed;\\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\\n    p3 += dot(p3, p3.yzx + 19.19);\\n    return fract((p3.x + p3.y) * p3.z);\\n  }\\n\\n  \"+SAMPLE_1D_SNIPPET+\"\\n  \"+SAMPLE_2D_SNIPPET+\"\\n  \"+SAMPLE_3D_SNIPPET+\"\\n  \"+SAMPLE_4D_SNIPPET+\"\\n  \"+SAMPLE_5D_SNIPPET+\"\\n  \"+SAMPLE_6D_SNIPPET+\"\\n\";function getOutputScalarCoords(){return\"\\n    int getOutputCoords() {\\n      return 0;\\n    }\\n  \"}function getOutput1DCoords(e,t){return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.x * \"+t[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.y * \"+t[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      return resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutput3DCoords(e,t){var n=e[1]*e[2],r=e[2];return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+n+\";\\n      index -= r * \"+n+\";\\n      int c = index / \"+r+\";\\n      int d = index - c * \"+r+\";\\n      return ivec3(r, c, d);\\n    }\\n  \"}function getOutput4DCoords(e,t){var n=e[3],r=e[2]*n,o=e[1]*r;return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+o+\";\\n      index -= r * \"+o+\";\\n\\n      int c = index / \"+r+\";\\n      index -= c * \"+r+\";\\n\\n      int d = index / \"+n+\";\\n      int d2 = index - d * \"+n+\";\\n\\n      return ivec4(r, c, d, d2);\\n    }\\n  \"}function getOutput5DCoords(e,t){var n=e[4],r=e[3]*n,o=e[2]*r,a=e[1]*o;return\"\\n    ivec5 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(\"+t[0]+\",\\n                             \"+t[1]+\"));\\n\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+a+\";\\n      index -= r * \"+a+\";\\n\\n      int c = index / \"+o+\";\\n      index -= c * \"+o+\";\\n\\n      int d = index / \"+r+\";\\n      index -= d * \"+r+\";\\n\\n      int d2 = index  / \"+n+\";\\n      int d3 = index - d2 * \"+n+\";\\n\\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\\n      return outShape;\\n    }\\n  \"}function getOutput6DCoords(e,t){var n=e[5],r=e[4]*n,o=e[3]*r,a=e[2]*o,i=e[1]*a;return\"\\n    ivec6 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+i+\";\\n      index -= r * \"+i+\";\\n\\n      int c = index / \"+a+\";\\n      index -= c * \"+a+\";\\n\\n      int d = index / \"+o+\";\\n      index -= d * \"+o+\";\\n\\n      int d2 = index / \"+r+\";\\n      index -= d2 * \"+r+\";\\n\\n      int d3 = index / \"+n+\";\\n      int d4 = index - d3 * \"+n+\";\\n\\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\\n      return result;\\n    }\\n  \"}function getOutputPacked2DCoords(e,t){return\"\\n    ivec2 getOutputCoords() {\\n      return 2 * ivec2(resultUV.yx * vec2(\"+Math.ceil(t[0]/2)+\", \"+Math.ceil(t[1]/2)+\"));\\n    }\\n  \"}function getOutput2DCoords(e,t){return arraysEqual(e,t)?\"\\n      ivec2 getOutputCoords() {\\n        return ivec2(resultUV.yx * vec2(\"+t[0]+\", \"+t[1]+\"));\\n      }\\n    \":1===e[1]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(index, 0);\\n      }\\n    \":1===e[0]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(0, index);\\n      }\\n    \":\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+e[1]+\";\\n      int c = index - r * \"+e[1]+\";\\n      return ivec2(r, c);\\n    }\\n  \"}function getSamplerScalar(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?\"float \"+n+\"() {return \"+t+\";}\":\"\\n    float \"+n+\"() {\\n      return sampleTexture(\"+t+\", halfCR);\\n    }\\n  \"}function getSampler1D(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return\"\\n    float \"+n+\"(int index) {\\n      return \"+n+\"Flat(index);\\n    }\\n  \"}function getSampler2D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=e.shapeInfo.texShape;if(null!=o&&arraysEqual(t,o)){var a=o[0];return\"\\n    float \"+r+\"(int row, int col) {\\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+o[1]+\".0, \"+a+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}var i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\"],u)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col) {\\n        int index = row * \"+t[1]+\" + col;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=o[0],p=o[1];return 1===p?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+c+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":1===c?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2((float(index) + 0.5) / \"+p+\".0, 0.5);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n  float \"+r+\"(int row, int col) {\\n    vec2 uv = UVfrom2D(\"+c+\", \"+p+\", \"+t[1]+\", row, col);\\n    return sampleTexture(\"+n+\", uv);\\n  }\\n\"}function getSampler3D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[1]*t[2],a=t[2],i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n        \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\"],u)+\");\\n        }\\n      \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        int index = row * \"+o+\" + col * \"+a+\" + depth;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===o?\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          int texR = row;\\n          int texC = col * \"+a+\" + depth;\\n          vec2 uv = (vec2(texC, texR) + halfCR) /\\n                     vec2(\"+d+\".0, \"+p+\".0);\\n          return sampleTexture(\"+n+\", uv);\\n        }\\n      \":d===a?\"\\n    float \"+r+\"(int row, int col, int depth) {\\n      int texR = row * \"+t[1]+\" + col;\\n      int texC = depth;\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+d+\".0, \"+p+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        vec2 uv = UVfrom3D(\\n            \"+p+\", \"+d+\", \"+o+\", \"+a+\", row, col, depth);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n  \"}function getSampler4D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[3],a=t[2]*o,i=t[1]*a,s=squeezeShape(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,u))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\"],l)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int index = row * \"+i+\" + col * \"+a+\" +\\n            depth * \"+o+\" + depth2;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,p=c[0],d=c[1];return d===i?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row;\\n        int texC = col * \"+a+\" + depth * \"+o+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":d===o?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+d+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2) {\\n      vec2 uv = UVfrom4D(\"+p+\", \"+d+\", \"+i+\", \"+a+\",\\n          \"+o+\", row, col, depth, depth2);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler5D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[4],a=t[3]*o,i=t[2]*a,s=t[1]*i,u=squeezeShape(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\"],c)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int index = row * \"+s+\" + col * \"+i+\" +\\n            depth * \"+a+\" + depth2 * \"+o+\" + depth3;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var p=e.shapeInfo.texShape,d=p[0],h=p[1];return h===s?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row;\\n        int texC = col * \"+i+\" + depth * \"+a+\" +\\n                   depth2 * \"+o+\" + depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":h===o?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" +\\n                   depth * \"+t[3]+\" + depth2;\\n        int texC = depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+h+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n      vec2 uv = UVfrom5D(\"+d+\", \"+h+\", \"+s+\", \"+i+\",\\n          \"+a+\", \"+o+\", row, col, depth, depth2, depth3);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler6D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),o=t[5],a=t[4]*o,i=t[3]*a,s=t[2]*i,u=t[1]*s,l=squeezeShape(t),c=l.newShape,p=l.keptDims;if(c.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,c))+\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\",\"depth4\"],p)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n        int index = row * \"+u+\" + col * \"+s+\" +\\n            depth * \"+i+\" + depth2 * \"+a+\" + depth3 * \"+a+\"\\n            + depth4\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var d=e.shapeInfo.texShape,h=d[0],f=d[1];return f===u?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row;\\n        int texC = col * \"+s+\" + depth * \"+i+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":f===o?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n      vec2 uv = UVfrom6D(\"+h+\", \"+f+\", \"+u+\", \"+s+\",\\n          \"+i+\", \"+a+\", \"+o+\"\\n          ,row, col, depth, depth2, depth3, depth4);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSamplerFlat(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1)+\"Flat\",r=sizeFromShape(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?\"float \"+n+\"(int index) {return \"+t+\";}\":\"\\n      float \"+n+\"(int index) {\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          if (i == index) {\\n            return \"+t+\"[i];\\n          }\\n        }\\n      }\\n    \";var o=e.shapeInfo.texShape,a=o[0],i=o[1];return 1===i&&1===a?\"\\n      float \"+n+\"(int index) {\\n        return sampleTexture(\"+t+\", halfCR);\\n      }\\n    \":1===i?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+a+\".0);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":1===a?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2((float(index) + 0.5) / \"+i+\".0, 0.5);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int index) {\\n      vec2 uv = UVfrom1D(\"+a+\", \"+i+\", index);\\n      return sampleTexture(\"+t+\", uv);\\n    }\\n  \"}function getBroadcastOutputCoordsSampler(e,t,n,r){var o=e.shapeInfo.logicalShape.length,a=t.logicalShape.length,i=\"int\";2===a?i=\"ivec2\":3===a?i=\"ivec3\":4===a&&(i=\"ivec4\");var s=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),u=a-o;return\"\\n    float \"+r+\"() {\\n      \"+i+\" coords = getOutputCoords();\\n      \"+(0===o?\"\":a<2&&s.length>=1?\"coords = 0;\":s.map(function(e){return\"coords[\"+(e+u)+\"] = 0;\"}).join(\"\\n\"))+\"\\n      return get\"+n+\"(\"+(a<2&&o>0?\"coords\":e.shapeInfo.logicalShape.map(function(e,t){return\"coords[\"+(t+u)+\"]\"}).join(\", \"))+\");\\n    }\\n  \"}function getSamplerAtOutputCoords(e,t,n){var r=e.name,o=r.charAt(0).toUpperCase()+r.slice(1),a=\"get\"+o+\"AtOutCoords\",i=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||i.length>0),c=broadcastDimsAreOuter(i),p=e.shapeInfo.isUniform;if(l&&!c)return getBroadcastOutputCoordsSampler(e,t,o,a);var d=sizeFromShape(e.shapeInfo.logicalShape),h=\"\";l&&c&&(h=\"\\n        int mainPart = index / \"+d+\";\\n        index -= mainPart * \"+d+\";\\n      \");var f=t.texShape;if(p)return 1===d?\"float \"+a+\"() {return \"+r+\";}\":\"\\n      float \"+a+\"() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                              vec2(\"+f[0]+\", \"+f[1]+\"));\\n        int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n        \"+h+\"\\n        return get\"+o+\"Flat(index);\\n      }\\n    \";var m=e.shapeInfo.texShape;return arraysEqual(m,f)?\"\\n      float \"+a+\"() {\\n        return sampleTexture(\"+r+\", resultUV);\\n      }\\n    \":\"\\n    float \"+a+\"() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+f[0]+\", \"+f[1]+\"));\\n      int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n      \"+h+\"\\n      int texR = index / \"+m[1]+\";\\n      int texC = index - texR * \"+m[1]+\";\\n      vec2 uv = (vec2(texC, texR) + halfCR) /\\n                 vec2(\"+m[1]+\".0, \"+m[0]+\".0);\\n\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getCoordsDataType(e){if(e<=1)return\"int\";if(2===e)return\"ivec2\";if(3===e)return\"ivec3\";if(4===e)return\"ivec4\";if(5===e)return\"ivec5\";if(6===e)return\"ivec6\";throw Error(\"GPU for rank \"+e+\" is not yet supported\")}function squeezeInputInfo(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function getSqueezedParams(e,t){return t.map(function(t){return e[t]}).join(\", \")}var CumSumProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=e;var r=e.length,o=e[e.length-1],a=n?\"<\":\">\";this.userCode=\"\\n      int getIndex(int i) {\\n        \"+(n?\"return \"+o+\" -i - 1;\":\"return i;\")+\"\\n      }\\n\\n      void main() {\\n        \"+getCoordsDataType(r)+\" coords = getOutputCoords();\\n        int end = \"+getFinalCoord(r,\"coords\")+\";\\n        float val = 0.0;\\n        for (int i = \"+o+\" - 1; i >= 0; i -= 1) {\\n          int idx = getIndex(i);\\n          if (idx \"+a+\" end) {\\n            continue;\\n          }\\n          if (idx == end && \"+t+\") {\\n            continue;\\n          }\\n          \"+getFinalCoord(r,\"coords\")+\" = idx;\\n          val += getX(\"+getCoords(r,\"coords\")+\");\\n        }\\n        setOutput(val);\\n      }\\n    \"}}();function getCoords(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".x, \"+t+\".y\";if(3===e)return t+\".x, \"+t+\".y, \"+t+\".z\";if(4===e)return t+\".x, \"+t+\".y, \"+t+\".z, \"+t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}function getFinalCoord(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".y\";if(3===e)return t+\".z\";if(4===e)return t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}var TextureUsage,PhysicalTextureType,DepthToSpaceProgram=function(){function e(e,t,n){this.variableNames=[\"x\"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=\"\\n    void main() {\\n      ivec4 coords = getOutputCoords();\\n      int b = coords[0];\\n      int h = \"+this.getHeightCoordString()+\";\\n      int w = \"+this.getWidthCoordString()+\";\\n      int d = \"+this.getDepthCoordString()+\";\\n\\n      int in_h = h / \"+t+\";\\n      int offset_h = imod(h, \"+t+\");\\n      int in_w = w / \"+t+\";\\n      int offset_w = imod(w, \"+t+\");\\n      int offset_d = (offset_h * \"+t+\" + offset_w) *\\n        \"+this.getOutputDepthSize()+\";\\n      int in_d = d + offset_d;\\n\\n      float result = \"+this.getInputSamplingString()+\";\\n      setOutput(result);\\n    }\\n  \"}return e.prototype.getHeightCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[1]\":\"coords[2]\"},e.prototype.getWidthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[2]\":\"coords[3]\"},e.prototype.getDepthCoordString=function(){return\"NHWC\"===this.dataFormat?\"coords[3]\":\"coords[1]\"},e.prototype.getOutputDepthSize=function(){return\"NHWC\"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},e.prototype.getInputSamplingString=function(){return\"NHWC\"===this.dataFormat?\"getX(b, in_h, in_w, in_d)\":\"getX(b, in_d, in_h, in_w)\"},e}(),EncodeFloatProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const float FLOAT_MAX = 1.70141184e38;\\n      const float FLOAT_MIN = 1.17549435e-38;\\n\\n      lowp vec4 encode_float(highp float v) {\\n        if (isNaN(v)) {\\n          return vec4(255, 255, 255, 255);\\n        }\\n\\n        highp float av = abs(v);\\n\\n        if(av < FLOAT_MIN) {\\n          return vec4(0.0, 0.0, 0.0, 0.0);\\n        } else if(v > FLOAT_MAX) {\\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\\n        } else if(v < -FLOAT_MAX) {\\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\\n        }\\n\\n        highp vec4 c = vec4(0,0,0,0);\\n\\n        highp float e = floor(log2(av));\\n        highp float m = exp2(fract(log2(av))) - 1.0;\\n\\n        c[2] = floor(128.0 * m);\\n        m -= c[2] / 128.0;\\n        c[1] = floor(32768.0 * m);\\n        m -= c[1] / 32768.0;\\n        c[0] = floor(8388608.0 * m);\\n\\n        highp float ebias = e + 127.0;\\n        c[3] = floor(ebias / 2.0);\\n        ebias -= c[3] * 2.0;\\n        c[2] += floor(ebias) * 128.0;\\n\\n        c[3] += 128.0 * step(0.0, -v);\\n\\n        return c / 255.0;\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        gl_FragColor = encode_float(x);\\n      }\\n    \"}}(),FromPixelsProgram=function(){return function(e){this.variableNames=[\"A\"];var t=e[0],n=e[1];this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec3 coords = getOutputCoords();\\n        int texR = coords[0];\\n        int texC = coords[1];\\n        int depth = coords[2];\\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+n+\".0, \"+t+\".0);\\n\\n        vec4 values = texture2D(A, uv);\\n        float value;\\n        if (depth == 0) {\\n          value = values.r;\\n        } else if (depth == 1) {\\n          value = values.g;\\n        } else if (depth == 2) {\\n          value = values.b;\\n        } else if (depth == 3) {\\n          value = values.a;\\n        }\\n\\n        setOutput(floor(value * 255.0 + 0.5));\\n      }\\n    \"}}(),GatherProgram=function(){return function(e,t,n){this.variableNames=[\"A\",\"indices\"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var o=getCoordsDataType(this.rank),a=getSourceCoords(e,n);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords(e,t){var n=e.length;if(n>4)throw Error(\"Gather for rank \"+n+\" is not yet supported\");if(1===n)return\"int(getIndices(resRC))\";for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],o=[],a=0;a<e.length;a++)a===t?o.push(\"int(getIndices(\"+r[a]+\"))\"):o.push(\"\"+r[a]);return o.join()}function getUnpackedMatrixTextureShapeWidthHeight(e,t){return[t,e]}function getUnpackedArraySizeFromMatrixSize(e,t){return e*t}function getMatrixSizeFromUnpackedArraySize(e,t){if(e%t!=0)throw new Error(\"unpackedSize (\"+e+\") must be a multiple of \"+t);return e/t}function encodeMatrixToUnpackedArray(e,t,n){var r=getUnpackedArraySizeFromMatrixSize(e.length,n);if(t.length<r)throw new Error(\"unpackedArray length (\"+t.length+\") must be >= \"+r);for(var o=0,a=0;a<e.length;++a)t[o]=e[a],o+=n}function decodeMatrixFromUnpackedArray(e,t,n){var r=getMatrixSizeFromUnpackedArraySize(e.length,n);if(t.length<r)throw new Error(\"matrix length (\"+t.length+\") must be >= \"+r);for(var o=0,a=0;a<e.length;a+=n)t[o++]=e[a]}function getPackedMatrixTextureShapeWidthHeight(e,t){return[Math.ceil(t/2),Math.ceil(e/2)]}function getPackedRGBAArraySizeFromMatrixShape(e,t){var n=getPackedMatrixTextureShapeWidthHeight(e,t);return n[0]*n[1]*4}function encodeMatrixToPackedRGBA(e,t,n,r){var o=getPackedRGBAArraySizeFromMatrixShape(t,n);if(r.length<o)throw new Error(\"packedRGBA length (\"+r.length+\") must be >= \"+o);for(var a=getPackedMatrixTextureShapeWidthHeight(t,n),i=a[0],s=a[1],u=n%2==1,l=t%2==1,c=Math.floor(n/2),p=Math.floor(t/2),d=u?4:0,h=n,f=0,m=0;m<p;++m){for(var g=2*m*n,v=0;v<c;++v){var x=g+2*v;r[f]=e[x],r[f+1]=e[x+1],r[f+2]=e[x+h],r[f+3]=e[x+h+1],f+=4}f+=d}if(u){x=n-1,f=4*(i-1);var y=2*n;for(d=4*i,m=0;m<p;++m)r[f]=e[x],r[f+2]=e[x+n],x+=y,f+=d}if(l)for(x=(t-1)*n,f=(s-1)*i*4,v=0;v<c;++v)r[f++]=e[x++],r[f++]=e[x++],f+=2;return u&&l&&(r[r.length-4]=e[e.length-1]),r}function decodeMatrixFromPackedRGBA(e,t,n,r){var o=t*n;if(o<r.length)throw new Error(\"matrix length (\"+r.length+\") must be >= \"+o);for(var a=n%2==1,i=t%2==1,s=Math.floor(n/2),u=Math.floor(t/2),l=getPackedMatrixTextureShapeWidthHeight(t,n),c=l[0],p=l[1],d=a?4:0,h=n+(a?1:0),f=0,m=0,g=n,v=0;v<u;++v){for(var x=0;x<s;++x)r[m++]=e[f++],r[m++]=e[f++],r[g++]=e[f++],r[g++]=e[f++];f+=d,m+=h,g+=h}if(a){f=4*(c-1);var y=n-1;for(d=4*c,h=2*n,v=0;v<u;++v)r[y]=e[f],r[y+n]=e[f+2],f+=d,y+=h}if(i)for(f=(p-1)*c*4,y=(t-1)*n,x=0;x<s;++x)r[y++]=e[f++],r[y++]=e[f++],f+=2;return a&&i&&(r[r.length-1]=e[e.length-4]),r}!function(e){e[e.RENDER=0]=\"RENDER\",e[e.UPLOAD=1]=\"UPLOAD\",e[e.PIXELS=2]=\"PIXELS\",e[e.DOWNLOAD=3]=\"DOWNLOAD\",e[e.PACK=4]=\"PACK\"}(TextureUsage||(TextureUsage={})),function(e){e[e.UNPACKED_FLOAT16=0]=\"UNPACKED_FLOAT16\",e[e.UNPACKED_FLOAT32=1]=\"UNPACKED_FLOAT32\",e[e.PACKED_4X1_UNSIGNED_BYTE=2]=\"PACKED_4X1_UNSIGNED_BYTE\",e[e.PACKED_2X2_FLOAT32=3]=\"PACKED_2X2_FLOAT32\"}(PhysicalTextureType||(PhysicalTextureType={}));var MAX_TEXTURE_SIZE=null;function createWebGLRenderingContext(e){var t=document.createElement(\"canvas\");return t.width=1,t.height=1,createWebGLRenderingContextFromCanvas(t,e)}function createWebGLRenderingContextFromCanvas(e,t){var n,r=ENV.get(\"WEBGL_VERSION\");if(2===r?n=e.getContext(\"webgl2\",t):1===r&&(n=e.getContext(\"webgl\",t)||e.getContext(\"experimental-webgl\",t)),0===r||null==n)throw new Error(\"This browser does not support WebGL.\");return n}function callAndCheck(e,t){var n=t();return checkWebGLError(e),n}var webGLDebugErrorCheckingEnabled=!1;function enableDebugWebGLErrorChecking(e){webGLDebugErrorCheckingEnabled=e}function checkWebGLError(e){if(webGLDebugErrorCheckingEnabled){var t=e.getError();if(t!==e.NO_ERROR)throw new Error(\"WebGL Error: \"+getWebGLErrorMessage(e,t))}}function getWebGLErrorMessage(e,t){switch(t){case e.NO_ERROR:return\"NO_ERROR\";case e.INVALID_ENUM:return\"INVALID_ENUM\";case e.INVALID_VALUE:return\"INVALID_VALUE\";case e.INVALID_OPERATION:return\"INVALID_OPERATION\";case e.INVALID_FRAMEBUFFER_OPERATION:return\"INVALID_FRAMEBUFFER_OPERATION\";case e.OUT_OF_MEMORY:return\"OUT_OF_MEMORY\";case e.CONTEXT_LOST_WEBGL:return\"CONTEXT_LOST_WEBGL\";default:return\"Unknown error code \"+t}}function getExtensionOrThrow(e,t){return throwIfNull(e,function(){return e.getExtension(t)},'Extension \"'+t+'\" not supported on this browser.')}function createVertexShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.VERTEX_SHADER)},\"Unable to create vertex WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error(\"Failed to compile vertex shader.\");return n}function createFragmentShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.FRAGMENT_SHADER)},\"Unable to create fragment WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw logShaderSourceAndInfoLog(t,e.getShaderInfoLog(n)),new Error(\"Failed to compile fragment shader.\");return n}var lineNumberRegex=/ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e,t){var n=lineNumberRegex.exec(t);if(null==n)return console.log(\"Couldn't parse line number in error: \"+t),void console.log(e);for(var r=+n[1],o=e.split(\"\\n\"),a=o.length.toString().length+2,i=o.map(function(e,t){return rightPad((t+1).toString(),a)+e}),s=0,u=0;u<i.length;u++)s=Math.max(i[u].length,s);var l=i.slice(0,r-1),c=i.slice(r-1,r),p=i.slice(r);console.log(l.join(\"\\n\")),console.log(t.split(\"\\n\")[0]),console.log(\"%c \"+rightPad(c[0],s),\"border:1px solid red; background-color:#e3d2d2; color:#a61717\"),console.log(p.join(\"\\n\"))}function createProgram(e){return throwIfNull(e,function(){return e.createProgram()},\"Unable to create WebGLProgram.\")}function linkProgram(e,t){if(callAndCheck(e,function(){return e.linkProgram(t)}),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function validateProgram(e,t){if(callAndCheck(e,function(){return e.validateProgram(t)}),!1===e.getProgramParameter(t,e.VALIDATE_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function createStaticVertexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function createStaticIndexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function queryMaxTextureSize(e){return null!=MAX_TEXTURE_SIZE?MAX_TEXTURE_SIZE:MAX_TEXTURE_SIZE=callAndCheck(e,function(){return e.getParameter(e.MAX_TEXTURE_SIZE)})}function getNumChannels(){return 2===ENV.get(\"WEBGL_VERSION\")?1:4}function createTexture(e){return throwIfNull(e,function(){return e.createTexture()},\"Unable to create WebGLTexture.\")}function validateTextureSize(e,t,n){var r=queryMaxTextureSize(e);if(t<=0||n<=0){var o=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+o+\" is invalid.\")}if(t>r||n>r){o=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+o+\" greater than WebGL maximum on this browser / GPU \"+(\"[\"+r+\"x\"+r+\"]\")+\".\")}}function createFramebuffer(e){return throwIfNull(e,function(){return e.createFramebuffer()},\"Unable to create WebGLFramebuffer.\")}function bindVertexBufferToProgramAttribute(e,t,n,r,o,a,i){var s=e.getAttribLocation(t,n);return-1!==s&&(callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.vertexAttribPointer(s,o,e.FLOAT,!1,a,i)}),callAndCheck(e,function(){return e.enableVertexAttribArray(s)}),!0)}function bindTextureUnit(e,t,n){validateTextureUnit(e,n),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)})}function unbindTextureUnit(e,t){validateTextureUnit(e,t),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+t)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function getProgramUniformLocationOrThrow(e,t,n){return throwIfNull(e,function(){return e.getUniformLocation(t,n)},'uniform \"'+n+'\" not present in program.')}function getProgramUniformLocation(e,t,n){return e.getUniformLocation(t,n)}function bindTextureToProgramUniformSampler(e,t,n,r,o){callAndCheck(e,function(){return bindTextureUnit(e,n,o)}),callAndCheck(e,function(){return e.uniform1i(r,o)})}function bindCanvasToFramebuffer(e){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),callAndCheck(e,function(){return e.viewport(0,0,e.canvas.width,e.canvas.height)}),callAndCheck(e,function(){return e.scissor(0,0,e.canvas.width,e.canvas.height)})}function bindColorTextureToFramebuffer(e,t,n){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,n)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0)})}function unbindColorTextureFromFramebuffer(e,t){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,t)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0)})}function validateFramebuffer(e){var t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+getFramebufferErrorMessage(e,t))}function getFramebufferErrorMessage(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case e.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return\"unknown error \"+t}}function throwIfNull(e,t,n){var r=callAndCheck(e,function(){return t()});if(null==r)throw new Error(n);return r}function validateTextureUnit(e,t){var n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n)throw new Error(\"textureUnit must be in \"+(\"[gl.TEXTURE0, gl.TEXTURE\"+n+\"]\")+\".\")}function getTextureShapeFromLogicalShape(e,t){2!==t.length&&(t=squeezeShape(t).newShape);var n=queryMaxTextureSize(e),r=sizeFromShape(t);return t.length<=1&&r<=n?[r,1]:2===t.length&&t[0]<=n&&t[1]<=n?t:3===t.length&&t[0]<=n&&t[1]*t[2]<=n?[t[0],t[1]*t[2]]:4===t.length&&t[0]<=n&&t[1]*t[2]*t[3]<=n?[t[0],t[1]*t[2]*t[3]]:sizeToSquarishShape(r)}var webgl_util=Object.freeze({createWebGLRenderingContext:createWebGLRenderingContext,createWebGLRenderingContextFromCanvas:createWebGLRenderingContextFromCanvas,callAndCheck:callAndCheck,enableDebugWebGLErrorChecking:enableDebugWebGLErrorChecking,checkWebGLError:checkWebGLError,getWebGLErrorMessage:getWebGLErrorMessage,getExtensionOrThrow:getExtensionOrThrow,createVertexShader:createVertexShader,createFragmentShader:createFragmentShader,createProgram:createProgram,linkProgram:linkProgram,validateProgram:validateProgram,createStaticVertexBuffer:createStaticVertexBuffer,createStaticIndexBuffer:createStaticIndexBuffer,queryMaxTextureSize:queryMaxTextureSize,getNumChannels:getNumChannels,createTexture:createTexture,validateTextureSize:validateTextureSize,createFramebuffer:createFramebuffer,bindVertexBufferToProgramAttribute:bindVertexBufferToProgramAttribute,bindTextureUnit:bindTextureUnit,unbindTextureUnit:unbindTextureUnit,getProgramUniformLocationOrThrow:getProgramUniformLocationOrThrow,getProgramUniformLocation:getProgramUniformLocation,bindTextureToProgramUniformSampler:bindTextureToProgramUniformSampler,bindCanvasToFramebuffer:bindCanvasToFramebuffer,bindColorTextureToFramebuffer:bindColorTextureToFramebuffer,unbindColorTextureFromFramebuffer:unbindColorTextureFromFramebuffer,validateFramebuffer:validateFramebuffer,getFramebufferErrorMessage:getFramebufferErrorMessage,getTextureShapeFromLogicalShape:getTextureShapeFromLogicalShape});function getWebGLContextAttributes(){return{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0}}function createWebGLContext(e){var t,n=getWebGLContextAttributes();return callAndCheck(t=null!=e?createWebGLRenderingContextFromCanvas(e,n):createWebGLRenderingContext(n),function(){return t.disable(t.DEPTH_TEST)}),callAndCheck(t,function(){return t.disable(t.STENCIL_TEST)}),callAndCheck(t,function(){return t.disable(t.BLEND)}),callAndCheck(t,function(){return t.disable(t.DITHER)}),callAndCheck(t,function(){return t.disable(t.POLYGON_OFFSET_FILL)}),callAndCheck(t,function(){return t.disable(t.SAMPLE_COVERAGE)}),callAndCheck(t,function(){return t.enable(t.SCISSOR_TEST)}),callAndCheck(t,function(){return t.enable(t.CULL_FACE)}),callAndCheck(t,function(){return t.cullFace(t.BACK)}),t}function createVertexShader$1(e){return createVertexShader(e,\"\\n    precision highp float;\\n    attribute vec3 clipSpacePos;\\n    attribute vec2 uv;\\n    varying vec2 resultUV;\\n\\n    void main() {\\n      gl_Position = vec4(clipSpacePos, 1);\\n      resultUV = uv;\\n    }\")}function createVertexBuffer(e){return createStaticVertexBuffer(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function createIndexBuffer(e){return createStaticIndexBuffer(e,new Uint16Array([0,1,2,2,1,3]))}function getTextureConfig(e,t){var n,r,o,a,i,s,u,l=e;return 2===ENV.get(\"WEBGL_VERSION\")?(n=l.R32F,r=l.R16F,o=l.RGBA32F,a=l.RED,i=4,s=1,u=l.HALF_FLOAT):(n=e.RGBA,r=e.RGBA,o=l.RGBA,a=e.RGBA,i=4,s=4,u=null!=t?t.HALF_FLOAT_OES:null),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedFloat:o,textureFormatFloat:a,downloadTextureFormat:e.RGBA,downloadUnpackNumChannels:i,defaultNumChannels:s,textureTypeHalfFloat:u}}function createAndConfigureTexture(e,t,n,r,o,a){validateTextureSize(e,t,n);var i=createTexture(e),s=e.TEXTURE_2D;return callAndCheck(e,function(){return e.bindTexture(s,i)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texImage2D(s,0,r,t,n,0,o,a,null)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)}),i}function createFloat32MatrixTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],r.internalFormatFloat,r.textureFormatFloat,e.FLOAT)}function createFloat16MatrixTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],r.internalFormatFloat,r.textureFormatFloat,r.textureTypeHalfFloat)}function createUnsignedBytesMatrixTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],e.RGBA,e.RGBA,e.UNSIGNED_BYTE)}function createPackedMatrixTexture(e,t,n,r){var o=getPackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,o[0],o[1],r.internalFormatPackedFloat,e.RGBA,e.FLOAT)}function bindVertexProgramAttributeStreams(e,t,n){return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),bindVertexBufferToProgramAttribute(e,t,\"clipSpacePos\",n,3,20,0)&&bindVertexBufferToProgramAttribute(e,t,\"uv\",n,2,20,12)}function uploadPixelDataToTexture(e,t,n){callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadDataToTexture(e,t,n,r,o,a){validateTextureSize(e,n,r),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,a,e.FLOAT,o)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadMatrixToTexture(e,t,n,r,o,a,i){var s,u=getUnpackedMatrixTextureShapeWidthHeight(n,r),l=u[0],c=u[1];1===i.defaultNumChannels?s=o:encodeMatrixToUnpackedArray(o,s=new Float32Array(getUnpackedArraySizeFromMatrixSize(o.length,a)),a),uploadDataToTexture(e,t,l,c,s,i.textureFormatFloat)}function uploadMatrixToPackedTexture(e,t,n,r,o,a){var i=getPackedMatrixTextureShapeWidthHeight(n,r),s=i[0],u=i[1],l=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n,r));encodeMatrixToPackedRGBA(o,n,r,l),uploadDataToTexture(e,t,s,u,l,e.RGBA)}function maybeCreateBufferFromOutputTexture(e,t,n,r,o){var a=t;if(2===ENV.get(\"WEBGL_VERSION\")){var i=e,s=i.createBuffer();callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,s)});var u=4*getUnpackedArraySizeFromMatrixSize(n*r,o.downloadUnpackNumChannels);callAndCheck(e,function(){return e.bufferData(i.PIXEL_PACK_BUFFER,u,e.STATIC_DRAW)}),callAndCheck(e,function(){return i.readPixels(0,0,r,n,e.RGBA,e.FLOAT,0)}),callAndCheck(e,function(){return e.bindBuffer(i.PIXEL_PACK_BUFFER,null)}),a=s}return a}function downloadFloat32MatrixFromBuffer(e,t,n,r,o){var a=e,i=new Float32Array(getUnpackedArraySizeFromMatrixSize(n*r,o.downloadUnpackNumChannels));a.bindBuffer(e.ARRAY_BUFFER,t),a.getBufferSubData(e.ARRAY_BUFFER,0,i),a.bindBuffer(e.ARRAY_BUFFER,null);var s=new Float32Array(n*r);return decodeMatrixFromUnpackedArray(i,s,o.downloadUnpackNumChannels),s}function downloadFloat32MatrixFromOutputTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n),a=o[0],i=o[1],s=new Float32Array(getUnpackedArraySizeFromMatrixSize(t*n,r.downloadUnpackNumChannels));callAndCheck(e,function(){return e.readPixels(0,0,a,i,r.downloadTextureFormat,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromUnpackedArray(s,u,r.downloadUnpackNumChannels),u}function downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n,r){var o=getUnpackedMatrixTextureShapeWidthHeight(t,n),a=o[0],i=o[1],s=new Uint8Array(getUnpackedArraySizeFromMatrixSize(t*n,4));return callAndCheck(e,function(){return e.readPixels(0,0,a,i,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function downloadMatrixFromPackedOutputTexture(e,t,n,r){var o=getPackedMatrixTextureShapeWidthHeight(t,n),a=o[0],i=o[1],s=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(t,n));callAndCheck(e,function(){return e.readPixels(0,0,a,i,e.RGBA,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromPackedRGBA(s,t,n,u)}var gpgpu_util=Object.freeze({getWebGLContextAttributes:getWebGLContextAttributes,createWebGLContext:createWebGLContext,createVertexShader:createVertexShader$1,createVertexBuffer:createVertexBuffer,createIndexBuffer:createIndexBuffer,getTextureConfig:getTextureConfig,createFloat32MatrixTexture:createFloat32MatrixTexture,createFloat16MatrixTexture:createFloat16MatrixTexture,createUnsignedBytesMatrixTexture:createUnsignedBytesMatrixTexture,createPackedMatrixTexture:createPackedMatrixTexture,bindVertexProgramAttributeStreams:bindVertexProgramAttributeStreams,uploadPixelDataToTexture:uploadPixelDataToTexture,uploadMatrixToTexture:uploadMatrixToTexture,uploadMatrixToPackedTexture:uploadMatrixToPackedTexture,maybeCreateBufferFromOutputTexture:maybeCreateBufferFromOutputTexture,downloadFloat32MatrixFromBuffer:downloadFloat32MatrixFromBuffer,downloadFloat32MatrixFromOutputTexture:downloadFloat32MatrixFromOutputTexture,downloadByteEncodedFloatMatrixFromOutputTexture:downloadByteEncodedFloatMatrixFromOutputTexture,downloadMatrixFromPackedOutputTexture:downloadMatrixFromPackedOutputTexture}),GPGPUContext=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:createWebGLContext(),1===ENV.get(\"WEBGL_VERSION\")?(this.textureFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_float\"),this.colorBufferFloatExtension=this.gl.getExtension(\"WEBGL_color_buffer_float\"),ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")||(this.textureHalfFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_half_float\"),this.colorBufferHalfFloatExtension=this.gl.getExtension(\"EXT_color_buffer_half_float\"))):this.colorBufferFloatExtension=getExtensionOrThrow(this.gl,\"EXT_color_buffer_float\"),this.loseContextExtension=getExtensionOrThrow(this.gl,\"WEBGL_lose_context\"),this.vertexBuffer=createVertexBuffer(this.gl),this.indexBuffer=createIndexBuffer(this.gl),this.framebuffer=createFramebuffer(this.gl),this.textureConfig=getTextureConfig(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),null!=this.outputTexture&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");var t=this.gl;callAndCheck(t,function(){return t.finish()}),callAndCheck(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),callAndCheck(t,function(){return t.deleteFramebuffer(e.framebuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.vertexBuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.loseContextExtension.loseContext(),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,enableDebugWebGLErrorChecking(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat32MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),createUnsignedBytesMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),uploadPixelDataToTexture(this.gl,e,t)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createPackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(unbindColorTextureFromFramebuffer(this.gl,this.framebuffer),this.outputTexture=null),callAndCheck(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,n,r){this.throwIfDisposed();var o=getNumChannels();return uploadMatrixToTexture(this.gl,e,t,n,r,o,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,n,r){return this.throwIfDisposed(),uploadMatrixToPackedTexture(this.gl,e,t,n,r,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadFloat32MatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadByteEncodedFloatMatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadFloat32MatrixFromBuffer=function(e,t,n){return downloadFloat32MatrixFromBuffer(this.gl,e,t,n,this.textureConfig)},e.prototype.maybeCreateBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=maybeCreateBufferFromOutputTexture(this.gl,e,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},e.prototype.createAndWaitForFence=function(){var e=this.createFence(this.gl);return this.pollFence(e)},e.prototype.createFence=function(e){var t,n,r=this;if(ENV.get(\"WEBGL_FENCE_API_ENABLED\")){var o=e,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=o.clientWaitSync(a,0,0);return e===o.ALREADY_SIGNALED||e===o.CONDITION_SATISFIED},t=a}else ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))}):n=function(){return!0};return{query:t,isFencePassed:n}},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadMatrixFromPackedOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=createFragmentShader(t,e),r=createVertexShader$1(t),o=createProgram(t);return callAndCheck(t,function(){return t.attachShader(o,r)}),callAndCheck(t,function(){return t.attachShader(o,n)}),linkProgram(t,o),this.autoDebugValidate&&validateProgram(t,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=bindVertexProgramAttributeStreams(t,this.program,this.vertexBuffer)),o},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&callAndCheck(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&validateProgram(this.gl,this.program),callAndCheck(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?getProgramUniformLocationOrThrow(this.gl,e,t):getProgramUniformLocation(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),callAndCheck(this.gl,function(){return n.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),bindTextureToProgramUniformSampler(this.gl,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=getPackedMatrixTextureShapeWidthHeight(t,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(e,o,a)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")},e.prototype.debugValidate=function(){null!=this.program&&validateProgram(this.gl,this.program),validateFramebuffer(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),callAndCheck(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=getExtensionOrThrow(this.gl,2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.beginQuery=function(){if(2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},e.prototype.endQuery=function(){if(2!==ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.waitForQueryAndGetTime=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(n){switch(n.label){case 0:return[4,repeatedTry(function(){return t.isQueryAvailable(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))})];case 1:return n.sent(),[2,this.getQueryTime(e,ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"))]}})})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},e.prototype.pollFence=function(e){var t=this;return new Promise(function(n){t.addItemToPoll(function(){return e.isFencePassed()},function(){return n()})})},e.prototype.pollItems=function(){for(var e=binSearchLastTrue(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||repeatedTry(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),bindColorTextureToFramebuffer(this.gl,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)},e.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(bindColorTextureToFramebuffer(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)):unbindColorTextureFromFramebuffer(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;bindColorTextureToFramebuffer(r,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(r),this.outputTexture=e,callAndCheck(r,function(){return r.viewport(0,0,t,n)}),callAndCheck(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var o=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return o.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error(\"No GPU program is currently set.\")},e}();function binSearchLastTrue(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var o=t+n>>1;e[o]()?(r=o,t=o+1):n=o-1}return r}function compileProgram(e,t,n,r){for(var o=t.userCode,a=n.map(function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.usage===TextureUsage.PACK};return{name:t.variableNames[n],shapeInfo:r}}),i=a.map(function(e){return e.shapeInfo}),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.usage===TextureUsage.PACK},u=makeShader(a,s,o,!0===t.supportsBroadcasting),l=e.createProgram(u),c={},p=0;p<t.variableNames.length;p++){var d=t.variableNames[p];c[d]=e.getUniformLocation(l,d,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:i,outShapeInfo:s}}function validateBinaryAndProgram(e,t){if(e.length!==t.length)throw Error(\"Binary was compiled with \"+e.length+\" inputs, but was executed with \"+t.length+\" inputs\");e.forEach(function(e,n){var r=e.logicalShape,o=t[n],a=o.shape;if(!arraysEqual(r,a))throw Error(\"Binary was compiled with different shapes than the current args. Shapes \"+r+\" and \"+a+\" must match\");if(!e.isUniform||!o.isUniform){var i=e.texShape,s=o.isUniform?null:o.texData.texShape;if(!arraysEqual(i,s))throw Error(\"Binary was compiled with different texture shapes than the current args. Shape \"+i+\" and \"+s+\" must match\")}})}function runProgram(e,t,n,r){validateBinaryAndProgram(e.inShapeInfos,t),validateBinaryAndProgram([e.outShapeInfo],[n]);var o=n.texData.texture,a=n.texData.texShape,i=e.gpgpu;n.texData.usage===TextureUsage.PACK?i.setOutputPackedMatrixTexture(o,a[0],a[1]):i.setOutputMatrixTexture(o,a[0],a[1]),i.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],o=e.uniformLocations[r];if(null!=o){if(t.isUniform){if(1===sizeFromShape(t.shape))i.gl.uniform1f(o,t.uniformValues[0]);else{var a=t.uniformValues;a instanceof Float32Array||(a=new Float32Array(a)),i.gl.uniform1fv(o,a)}return}var s=t.texData.texture;i.setInputMatrixTexture(s,o,n)}}),null!=r&&r(i,e.webGLProgram),i.executeProgram()}function makeShaderKey(e,t,n){var r=\"\";t.concat(n).forEach(function(e){r+=e.shape+\"_\"+(e.isUniform?\"uniform\":e.texData.texShape)});var o=e.userCode,a=(!0===e.supportsBroadcasting).toString(),i=e.constructor.name;return i+=\"_\"+a+\"_\"+r+\"_\"+o}var LRNProgram=function(){return function(e,t,n,r,o){this.variableNames=[\"x\"],this.outputShape=[];var a,i=t,s=e[3]-1;this.outputShape=e;var u=\"float(\"+n+\") + float(\"+r+\") * sum\";a=.5===o?\"inversesqrt(\"+u+\")\":1===o?\"1.0/(\"+u+\")\":\"exp(log(\"+u+\") * float(-\"+o+\"));\",this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n        int d = coords[3];\\n        float x = getX(b, r, c, d);\\n        float sum = 0.0;\\n        for (int j = -\"+i+\"; j <= \"+i+\"; j++) {\\n          int idx = d + j;\\n          if (idx >= 0 && idx <=  \"+s+\") {\\n            float z = getX(b, r, c, idx);\\n            sum += z * z;\\n          }\\n        }\\n        float val = x * \"+a+\";\\n        setOutput(val);\\n      }\\n    \"}}(),LRNGradProgram=function(){return function(e,t,n,r,o){this.variableNames=[\"inputImage\",\"outputImage\",\"dy\"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=o,this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float result = 0.0;\\n        for (int d = 0; d < \"+this.depth+\"; ++d) {\\n          int depthBegin = int(max(0.0, float(d - \"+t+\")));\\n          int depthEnd = int(min(float(\"+this.depth+\"),\\n              float(d + \"+t+\" + 1)));\\n\\n          const int MIN_DEPTH_BEGIN = 0;\\n          const int MAX_DEPTH_END = \"+this.depth+\";\\n\\n          float norm = 0.0;\\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd) {\\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n\\n          norm = float(\"+r+\") * norm + float(\"+n+\");\\n\\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\\n            if (k < depthBegin){\\n              continue;\\n            }\\n            else if (k >= depthBegin && k < depthEnd){\\n              float dyi = -2.0 * float(\"+r+\")\\n                * float(\"+o+\")\\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\\n                / norm;\\n              if (k == d) {\\n                dyi += pow(norm, -1.0 * \"+o+\");\\n              }\\n              if (k == coords[3]) {\\n                dyi *= getDy(b, r, c, d);\\n                result += dyi;\\n              }\\n            }\\n            else {\\n              break;\\n            }\\n          }\\n      }\\n      setOutput(result);\\n      }\\n    \"}}(),MaxPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,o=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=t*n-1;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+a+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+o+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n            int maxPosValue = \"+s+\" - int(getMaxPos(b, idyR, idyC, d));\\n\\n            // Get the current value, check it against the value from the\\n            // position matrix.\\n            int curPosValue = wR * \"+n+\" + wC;\\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\\n\\n            dotProd += dyValue * mask;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),MatMulProgram=function(){return function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=[\"matrixA\",\"matrixB\"];var o=e[0],a=n?e[2]:e[1],i=r?t[1]:t[2],s=n?e[1]:e[2];this.outputShape=[o,a,i];var u=function(e,t){return n?\"batch, \"+t+\" + \"+e+\", aRow\":\"batch, aRow, \"+t+\" + \"+e},l=function(e,t){return r?\"batch, bCol, \"+t+\" + \"+e:\"batch, \"+t+\" + \"+e+\", bCol\"},c=4*Math.floor(s/4),p=s%4;this.userCode=\" float dotARowBCol(int batch, int aRow, int bCol) {\\n      float result = 0.0;\\n      for (int i = 0; i < \"+c+\"; i += 4) {\\n        vec4 a = vec4(\\n          getMatrixA(\"+u(0,\"i\")+\"),\\n          getMatrixA(\"+u(1,\"i\")+\"),\\n          getMatrixA(\"+u(2,\"i\")+\"),\\n          getMatrixA(\"+u(3,\"i\")+\")\\n        );\\n        vec4 b = vec4(\\n          getMatrixB(\"+l(0,\"i\")+\"),\\n          getMatrixB(\"+l(1,\"i\")+\"),\\n          getMatrixB(\"+l(2,\"i\")+\"),\\n          getMatrixB(\"+l(3,\"i\")+\")\\n        );\\n\\n        result += dot(a, b);\\n      }\\n\\n      if (\"+(1===p)+\") {\\n        result += getMatrixA(\"+u(0,c)+\") *\\n          getMatrixB(\"+l(0,c)+\");\\n      } else if (\"+(2===p)+\") {\\n        vec2 a = vec2(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\")\\n        );\\n        vec2 b = vec2(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\")\\n        );\\n        result += dot(a, b);\\n      } else if (\"+(3===p)+\") {\\n        vec3 a = vec3(\\n          getMatrixA(\"+u(0,c)+\"),\\n          getMatrixA(\"+u(1,c)+\"),\\n          getMatrixA(\"+u(2,c)+\")\\n        );\\n        vec3 b = vec3(\\n          getMatrixB(\"+l(0,c)+\"),\\n          getMatrixB(\"+l(1,c)+\"),\\n          getMatrixB(\"+l(2,c)+\")\\n        );\\n        result += dot(a, b);\\n      }\\n\\n      return result;\\n    }\\n\\n    void main() {\\n      ivec3 resBRC = getOutputCoords();\\n      setOutput(dotARowBCol(resBRC.x, resBRC.y, resBRC.z));\\n    }\\n    \"}}(),MatMulPackedProgram=function(){return function(e,t,n,r,o){void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=[\"matrixA\",\"matrixB\"],this.outputShape=n;var a=r?e[0]:e[1],i=Math.ceil(a/2),s=r?\"resultUV.t, center\":\"center, resultUV.t\",u=o?\"center, resultUV.s\":\"resultUV.s, center\",l=r?[\"a.xxyy\",\"a.zzww\"]:[\"a.xxzz\",\"a.yyww\"],c=o?[\"b.xzxz\",\"b.ywyw\"]:[\"b.xyxy\",\"b.zwzw\"];this.userCode=\"\\n      const float sharedDimension = \"+i+\".0;\\n\\n      vec4 dot2x2ARowBCol() {\\n        vec4 result = vec4(0);\\n        for (int ii = 0; ii < \"+i+\"; ii++) {\\n          float i = float(ii);\\n          float center = (i + 0.5) / sharedDimension;\\n          vec4 a = texture2D(matrixA, vec2(\"+s+\"));\\n          vec4 b = texture2D(matrixB, vec2(\"+u+\"));\\n\\n          result += (\"+l[0]+\" * \"+c[0]+\") + (\"+l[1]+\" * \"+c[1]+\");\\n        }\\n        return result;\\n      }\\n\\n      void main() {\\n        gl_FragColor = dot2x2ARowBCol();\\n      }\\n    \"}}(),MultinomialProgram=function(){function e(e,t,n){this.variableNames=[\"probs\"],this.outputShape=[e,n],this.userCode=\"\\n      uniform float seed;\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n\\n        float r = random(seed);\\n        float cdf = 0.0;\\n\\n        for (int i = 0; i < \"+(t-1)+\"; i++) {\\n          cdf += getProbs(batch, i);\\n\\n          if (r < cdf) {\\n            setOutput(float(i));\\n            return;\\n          }\\n        }\\n\\n        // If no other event happened, last event happened.\\n        setOutput(float(\"+(t-1)+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,\"seed\")),n.gl.uniform1f(t.seedLoc,e)}},e}(),OneHotProgram=function(){return function(e,t,n,r){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int index = round(getIndices(coords.x));\\n        setOutput(mix(float(\"+r+\"), float(\"+n+\"),\\n                      float(index == coords.y)));\\n      }\\n    \"}}(),PackProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n\\n        int r = rc.x;\\n        int c = rc.y;\\n        int rp1 = r + 1;\\n        int cp1 = c + 1;\\n\\n        bool cEdge = cp1 >= \"+e[1]+\";\\n        bool rEdge = rp1 >= \"+e[0]+\";\\n\\n        gl_FragColor = vec4(\\n            getA(r, c),\\n            cEdge ? 0. : getA(r, cp1),\\n            rEdge ? 0. : getA(rp1, c),\\n            rEdge || cEdge ? 0. : getA(rp1, cp1)\\n          );\\n      }\\n    \"}}(),PadProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,o=getCoordsDataType(r),a=t.map(function(e){return e[0]}).join(\",\"),i=t.map(function(t,n){return t[0]+e[n]}).join(\",\"),s=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,r);this.userCode=1!==r?\"\\n      \"+o+\" start = \"+o+\"(\"+a+\");\\n      \"+o+\" end = \"+o+\"(\"+i+\");\\n\\n      void main() {\\n        \"+o+\" outC = getOutputCoords();\\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\\n          setOutput(float(\"+n+\"));\\n        } else {\\n          \"+o+\" coords = outC - start;\\n          setOutput(getX(\"+s+\"));\\n        }\\n      }\\n    \":\"\\n        int start = \"+a+\";\\n        int end = \"+i+\";\\n\\n        void main() {\\n          int outC = getOutputCoords();\\n          if (outC < start || outC >= end) {\\n            setOutput(float(\"+n+\"));\\n          } else {\\n            setOutput(getX(outC - start));\\n          }\\n        }\\n      \"}}(),Pool2DProgram=function(){return function(e,t,n){if(this.variableNames=[\"x\"],\"avg\"===t&&n)throw new Error(\"Cannot compute positions for average pool.\");var r=e.filterHeight,o=e.filterWidth,a=e.strideHeight,i=e.strideWidth,s=e.padInfo.top,u=e.padInfo.left;this.outputShape=e.outShape;var l=\"avg\"===t,c=\"0.0\";if(l||(c=\"-1.0 / 0.0\"),n)this.userCode=\"\\n        const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n        const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n\\n        void main() {\\n          ivec4 coords = getOutputCoords();\\n          int batch = coords[0];\\n          int d = coords[3];\\n\\n          ivec2 xRCCorner = coords.yz * strides - pads;\\n          int xRCorner = xRCCorner.x;\\n          int xCCorner = xRCCorner.y;\\n\\n          // max/min x(?, ?, d) to get y(yR, yC, d).\\n          // ? = to be determined\\n          float minMaxValue = 0.0;\\n          float minMaxValueFound = 0.0;\\n          int minMaxPosition = 0;\\n          float avgValue = 0.0;\\n\\n          for (int wR = 0; wR < \"+r+\"; wR++) {\\n            int xR = xRCorner + wR;\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int wC = 0; wC < \"+o+\"; wC++) {\\n              int xC = xCCorner + wC;\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float value = getX(batch, xR, xC, d);\\n\\n              // If a min / max value has already been found, use it. If not,\\n              // use the current value.\\n              float currMinMaxValue = mix(\\n                  value, minMaxValue, minMaxValueFound);\\n              if (value >= currMinMaxValue) {\\n                minMaxValue = value;\\n                minMaxValueFound = 1.0;\\n                minMaxPosition = wR * \"+o+\" + wC;\\n              }\\n            }\\n          }\\n          setOutput(float(minMaxPosition));\\n        }\\n      \";else{var p=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"avg\"===t&&(p=\"avgValue / count\");var d=4*Math.floor(o/4),h=o%4,f=\"\\n      if (\"+l+\") {\\n        avgValue += dot(values, ones);\\n      } else {\\n        minMaxValue = max(values, minMaxValue);\\n      }\\n    \";this.userCode=\"\\n      const ivec2 strides = ivec2(\"+a+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n      const float initializationValue = \"+c+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float count = 0.0;\\n\\n      float getValue(int batch, int xR, int xC, int d) {\\n        if (xC < 0 || xC >= \"+e.inWidth+\") {\\n          return initializationValue;\\n        }\\n        count += 1.0;\\n        return getX(batch, xR, xC, d);\\n      }\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // max/min x(?, ?, d) to get y(yR, yC, d).\\n        // ? = to be determined\\n        vec4 minMaxValue = vec4(\"+c+\");\\n        float avgValue = 0.0;\\n        count = 0.0;\\n\\n        for (int wR = 0; wR < \"+r+\"; wR++) {\\n          int xR = xRCorner + wR;\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+d+\"; wC += 4) {\\n            int xC = xCCorner + wC;\\n\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              getValue(batch, xR, xC + 3, d)\\n            );\\n\\n            \"+f+\"\\n          }\\n\\n          int xC = xCCorner + \"+d+\";\\n          if (\"+(1===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              initializationValue,\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(2===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(3===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          }\\n        }\\n        setOutput(\"+p+\");\\n      }\\n    \"}}}(),ReduceProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.windowSize,r=e.batchSize,o=e.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i=\"0.0\",s=\"\";\"min\"===t?(i=\"1.0 / 0.0\",s=\"min\"):\"max\"===t&&(i=\"-1.0 / 0.0\",s=\"max\");var u=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"sum\"===t?u=\"sumValue\":\"all\"===t?u=\"allValue\":\"any\"===t&&(u=\"anyValue\");var l=4*Math.floor(n/4),c=n%4,p=\"\\n      if (\"+(\"sum\"===t)+\") {\\n        sumValue += dot(values, ones);\\n      } else {\\n        minMaxValue = \"+s+\"(values, minMaxValue);\\n      }\\n    \",d=\"vec4\";\"all\"===t?(i=\"1.0\",p=\"\\n        bool reducedAllValue = all(values);\\n        float floatedReducedAllValue = float(reducedAllValue);\\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\\n      \",d=\"bvec4\"):\"any\"===t&&(i=\"0.0\",p=\"\\n        bool reducedAnyValue = any(values);\\n        float floatedReducedAnyValue = float(reducedAnyValue);\\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\\n      \",d=\"bvec4\");var h=\"\";o%n>0&&(h=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = \"+i+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+h+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+n+\";\\n\\n        vec4 minMaxValue = vec4(\"+i+\");\\n        float sumValue = 0.0;\\n        float allValue = 1.0;\\n        float anyValue = 0.0;\\n\\n        for (int i = 0; i < \"+l+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          \"+p+\"\\n        }\\n\\n        int inIdx = inOffset + \"+l+\";\\n        if (\"+(1===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(2===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        } else if (\"+(3===c)+\") {\\n          \"+d+\" values = \"+d+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          \"+p+\"\\n        }\\n        setOutput(\"+u+\");\\n      }\\n    \"}}(),ResizeBilinearBackpropProgram=function(){return function(e,t,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,o=r[1],a=r[2],i=e.shape,s=i[1],u=i[2],l=[n&&s>1?o-1:o,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(startRLerp - float(winHeight / 2));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(startCLerp - float(winWidth / 2));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float dxR = float(dyR) * heightScale;\\n            int topDxRIndex = int(floor(dxR));\\n            int bottomDxRIndex = int(min(ceil(dxR), \"+(o-1)+\".0));\\n            float dxRLerp = dxR - float(topDxRIndex);\\n            float inverseDxRLerp = 1.0 - dxRLerp;\\n\\n            float dxC = float(dyC) * widthScale;\\n            int leftDxCIndex = int(floor(dxC));\\n            int rightDxCIndex = int(min(ceil(dxC), \"+(a-1)+\".0));\\n            float dxCLerp = dxC - float(leftDxCIndex);\\n            float inverseDxCLerp = 1.0 - dxCLerp;\\n\\n            if (r == topDxRIndex && c == leftDxCIndex) {\\n              // topLeft\\n              accumulator +=\\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == topDxRIndex && c == rightDxCIndex) {\\n              // topRight\\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\\n              // bottomLeft\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\\n              // bottomRight\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeBilinearProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?i-1:i],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the four integer indices.\\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n        ivec2 sourceCeilRC = ivec2(\\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\\n\\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n        float newValue = top + (bottom - top) * fracRC.x;\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ResizeNearestNeigborBackpropProgram=function(){return function(e,t,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,o=r[1],a=r[2],i=e.shape,s=i[1],u=i[2],l=[n&&s>1?o-1:o,n&&u>1?a-1:a],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],d=l[1]/c[1],h=1/p,f=1/d,m=2*Math.ceil(h)+2,g=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+p+\");\\n        const float widthScale = float(\"+d+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+m+\");\\n        const int winWidth = int(\"+g+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float sourceFracRow =\\n              float(\"+l[0]+\") *\\n                (float(dyR) / float(\"+c[0]+\"));\\n\\n            float sourceFracCol =\\n                float(\"+l[1]+\") *\\n                  (float(dyC) / float(\"+c[1]+\"));\\n\\n            int sourceNearestRow = int(min(\\n                float(int(\"+o+\") - 1),\\n                \"+n+\" ? float(round(sourceFracRow)) :\\n                                  float(floor(sourceFracRow))));\\n\\n            int sourceNearestCol = int(min(\\n                float(int(\"+a+\") - 1),\\n                \"+n+\" ? float(round(sourceFracCol)) :\\n                                  float(floor(sourceFracCol))));\\n\\n            if (r == sourceNearestRow && c == sourceNearestCol) {\\n              accumulator += getDy(b, dyR, dyC, d);\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeNearestNeighborProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var o=e[0],a=e[1],i=e[2],s=e[3];this.outputShape=[o,t,n,s];var u=[r&&t>1?a-1:a,r&&n>1?i-1:i],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?\"0.5\":\"0.0\";this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+a+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the coordinators of nearest neighbor point.\\n        ivec2 sourceNearestRC = ivec2(\\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + \"+c+\")));\\n\\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ReverseProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.length;if(n>4)throw new Error(\"WebGL backend: Reverse of rank-\"+n+\" tensor is not yet supported\");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+\" - coords[\"+n+\"] - 1\":\"coords[\"+n+\"]\"}(r)}).join(\",\"),o=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+o+\" coords = getOutputCoords();\\n        setOutput(getX(\"+r+\"));\\n      }\\n    \"}else this.userCode=\"\\n        void main() {\\n          int coord = getOutputCoords();\\n          setOutput(getX(\"+e[0]+\" - coord - 1));\\n        }\\n      \"}}(),SegmentOpProgram=function(){return function(e,t){this.variableNames=[\"x\",\"segmentIds\"];var n=e.windowSize,r=e.batchSize,o=e.inSize,a=e.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,l=\"\\n        sumValue += dot(values, filter);\\n    \",c=\"\";o%n>0&&(c=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return initializationValue;\\n        }\\n      \");var p=\"\";o%n>0&&(p=\"\\n        if (inIdx < 0 || inIdx >= \"+o+\") {\\n          return -1.0;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = 0.0;\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+c+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      float getSegmentIdAtIndex(int inIdx) {\\n        \"+p+\"\\n        return getSegmentIds(inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = int(floor(float(outIdx) / float(\\n          \"+a+\")) * float(\"+n+\"));\\n        int currentSeg = int(mod(float(outIdx), float(\"+a+\")));\\n\\n        float sumValue = 0.0;\\n\\n        for (int i = 0; i < \"+s+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\\n          );\\n\\n          \"+l+\"\\n        }\\n\\n        int inIdx = inOffset + \"+s+\";\\n        if (\"+(1===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            0,\\n            0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(2===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n              0,\\n              0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(3===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        }\\n        setOutput(sumValue);\\n      }\\n    \"}}(),SelectProgram=function(){return function(e,t,n){var r,o;if(this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t,n>4)throw Error(\"Where for rank \"+n+\" is not yet supported\");if(1===n)o=\"resRC\",r=\"resRC\";else{for(var a=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],i=[],s=[],u=0;u<t.length;u++)s.push(\"\"+a[u]),u<e&&i.push(\"\"+a[u]);r=i.join(),o=s.join()}var l=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+l+\" resRC = getOutputCoords();\\n        float cVal = getC(\"+r+\");\\n        if (cVal >= 1.0) {\\n          setOutput(getA(\"+o+\"));\\n        } else {\\n          setOutput(getB(\"+o+\"));\\n        }\\n      }\\n    \"}}(),SliceProgram=function(){function e(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;var t=getCoordsDataType(this.rank),n=getCoords$1(this.rank);this.userCode=\"\\n      uniform \"+t+\" start;\\n\\n      void main() {\\n        \"+t+\" sourceLoc = start + getOutputCoords();\\n        setOutput(getSource(\"+n+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error(\"The rank (\"+this.rank+\") of the program must match the length of start (\"+e.length+\")\");return function(n,r){if(null!=t.startLoc||(t.startLoc=n.getUniformLocationNoThrow(r,\"start\"),null!=t.startLoc))if(1===t.rank)n.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)n.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)n.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error(\"Slicing for rank \"+t.rank+\" is not yet supported\");n.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}();function getCoords$1(e){if(1===e)return\"sourceLoc\";if(2===e)return\"sourceLoc.x, sourceLoc.y\";if(3===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z\";if(4===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w\";throw Error(\"Slicing for rank \"+e+\" is not yet supported\")}var StridedSliceProgram=function(){return function(e,t,n,r){this.variableNames=[\"x\"];var o=n.filter(function(e,t){return-1===r.indexOf(t)});this.outputShape=o;var a=n.length,i=getCoordsDataType(n.length),s=getCoordsDataType(o.length),u=\"\";if(1===a)u=\"coords * strides + begin\";else{var l=0;u=n.map(function(e,t){return-1===r.indexOf(t)?(l++,1===o.length?\"coords * strides[\"+t+\"] + begin[\"+t+\"]\":\"coords[\"+(l-1)+\"] * strides[\"+t+\"] + begin[\"+t+\"]\"):\"begin[\"+t+\"]\"}).join(\",\")}this.userCode=\"\\n      \"+i+\" begin = \"+i+\"(\"+e+\");\\n      \"+i+\" strides = \"+i+\"(\"+t+\");\\n\\n      void main() {\\n        \"+s+\" coords = getOutputCoords();\\n        setOutput(getX(\"+u+\"));\\n      }\\n    \"}}(),TextureManager=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t){var n,r=getPhysicalFromLogicalTextureType(t),o=getKeyFromTextureShape(e,r);if(o in this.freeTextures||(this.freeTextures[o]=[]),o in this.usedTextures||(this.usedTextures[o]=[]),this.freeTextures[o].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var a=this.freeTextures[o].shift();return this.usedTextures[o].push(a),a}return this.numUsedTextures++,this.log(),r===PhysicalTextureType.PACKED_2X2_FLOAT32?n=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===PhysicalTextureType.UNPACKED_FLOAT32?n=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===PhysicalTextureType.UNPACKED_FLOAT16?n=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE&&(n=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[o].push(n),n},e.prototype.releaseTexture=function(e,t,n){var r=getKeyFromTextureShape(t,getPhysicalFromLogicalTextureType(n));r in this.freeTextures||(this.freeTextures[r]=[]),this.freeTextures[r].push(e),this.numFreeTextures++,this.numUsedTextures--;var o=this.usedTextures[r],a=o.indexOf(e);if(a<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");o.splice(a,1),this.log()},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",this.numFreeTextures+\" / \"+this.numUsedTextures,\"(\"+e+\")\")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});for(var t in this.usedTextures)this.usedTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function getPhysicalFromLogicalTextureType(e){if(e===TextureUsage.DOWNLOAD||e===TextureUsage.PIXELS)return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;if(e===TextureUsage.UPLOAD)return PhysicalTextureType.UNPACKED_FLOAT32;if(e===TextureUsage.RENDER)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.UNPACKED_FLOAT32:PhysicalTextureType.UNPACKED_FLOAT16;if(e===TextureUsage.PACK)return PhysicalTextureType.PACKED_2X2_FLOAT32;throw new Error(\"Unknown logical texture type \"+e)}function getKeyFromTextureShape(e,t){return e[0]+\"_\"+e[1]+\"_\"+t}var TileProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var o=getCoordsDataType(this.rank),a=getSourceCoords$1(e);this.userCode=\"\\n      void main() {\\n        \"+o+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+a+\"));\\n      }\\n    \"}}();function getSourceCoords$1(e){var t=e.length;if(t>5)throw Error(\"Tile for rank \"+t+\" is not yet supported\");if(1===t)return\"imod(resRC, \"+e[0]+\")\";for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],r=[],o=0;o<e.length;o++)r.push(\"imod(\"+n[o]+\", \"+e[o]+\")\");return r.join()}var TransposeProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var o=getCoordsDataType(this.rank),a=getSwitchedCoords(t);this.userCode=\"\\n    void main() {\\n      \"+o+\" resRC = getOutputCoords();\\n      setOutput(getA(\"+a+\"));\\n    }\\n    \"}}();function getSwitchedCoords(e){var t=e.length;if(t>6)throw Error(\"Transpose for rank \"+t+\" is not yet supported\");for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],r=new Array(t),o=0;o<e.length;o++)r[e[o]]=n[o];return r.join()}var ERF_P=.3275911,ERF_A1=.254829592,ERF_A2=-.284496736,ERF_A3=1.421413741,ERF_A4=-1.453152027,ERF_A5=1.061405429,SELU_SCALEALPHA=1.7580993408473768,SELU_SCALE=1.0507009873554805,UnaryOpProgram=function(){function e(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      uniform float NAN;\\n      float unaryOperation(float x) {\\n        \"+t+\"\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        float y = unaryOperation(x);\\n\\n        setOutput(y);\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(){var e=this;return function(t,n){null==e.startLoc&&(e.startLoc=t.getUniformLocationNoThrow(n,\"NAN\"),null==e.startLoc)||t.gl.uniform1f(e.startLoc,NaN)}},e}(),CHECK_NAN_SNIPPET$1=\"if (isNaN(x)) return x;\",ABS=\"return abs(x);\",RELU=CHECK_NAN_SNIPPET$1+\"\\n  return (x < 0.0) ? 0.0 : x;\\n\",ELU=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",SELU=\"\\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\\n  // see: https://arxiv.org/abs/1706.02515\\n  float scaleAlpha = \"+SELU_SCALEALPHA+\";\\n  float scale = \"+SELU_SCALE+\";\\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\\n\";function STEP(e){return void 0===e&&(e=0),CHECK_NAN_SNIPPET$1+\"\\n    return x > 0.0 ? 1.0 : float(\"+e+\");\\n  \"}var NEG=\"return -x;\",CEIL=\"return ceil(x);\",FLOOR=\"return floor(x);\",SIGN=\"\\n  if (isNaN(x)) { return 0.0; }\\n  return sign(x);\\n\",ROUND=\"\\n  // OpenGL ES does not support round function.\\n  // The algorithm is based on banker's rounding.\\n  float base = floor(x);\\n  if ((x - base) < 0.5) {\\n    return floor(x);\\n  } else if ((x - base) > 0.5) {\\n    return ceil(x);\\n  } else {\\n    if (mod(base, 2.0) == 0.0) {\\n      return base;\\n    } else {\\n      return base + 1.0;\\n    }\\n  }\\n\",EXP=\"return exp(x);\",EXPM1=\"return exp(x) - 1.0;\",LOG=\"if (x < 0.0) return NAN;\\n  return log(x);\",LOG1P=\"return log(1.0 + x);\",SQRT=\"return sqrt(x);\",RSQRT=\"return inversesqrt(x);\",SIGMOID=\"return 1.0 / (1.0 + exp(-1.0 * x));\",SOFTPLUS=\"\\n  float epsilon = 1.1920928955078125e-7;\\n  float threshold = log(epsilon) + 2.0;\\n\\n  bool too_large = x > -threshold;\\n  bool too_small = x < threshold;\\n\\n  float result;\\n  float exp_x = exp(x);\\n\\n  if (too_large){\\n    result = x;\\n  }\\n  else if (too_small){\\n    result = exp_x;\\n  }\\n  else{\\n    result = log(exp_x + 1.0);\\n  }\\n  return result;\\n\",SIN=CHECK_NAN_SNIPPET$1+\"\\n  return sin(x);\\n\",COS=CHECK_NAN_SNIPPET$1+\"\\n  return cos(x);\\n\",TAN=\"return tan(x);\",ASIN=\"return asin(x);\",ACOS=\"return acos(x);\",ATAN=CHECK_NAN_SNIPPET$1+\"\\n  return atan(x);\\n\",SINH=\"\\n  float e2x = exp(x);\\n  return (e2x - 1.0 / e2x) / 2.0;\\n\",COSH=\"\\n  float e2x = exp(-x);\\n  return (e2x + 1.0 / e2x) / 2.0;\\n\",TANH=\"\\n  float e2x = exp(-2.0 * abs(x));\\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\\n\",ASINH=\"return log(x + sqrt(x * x + 1.0));\",ACOSH=CHECK_NAN_SNIPPET$1+\"\\n  if (x < 1.0) return NAN;\\n  return log(x + sqrt(x * x - 1.0));\",ATANH=CHECK_NAN_SNIPPET$1+\"\\n  if ((x < -1.0) || (x > 1.0)) return NAN;\\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;\",ERF='\\n  // Error function is calculated approximately with elementary function.\\n  // See \"Handbook of Mathematical Functions with Formulas,\\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\\n  float p = '+ERF_P+\";\\n  float a1 = \"+ERF_A1+\";\\n  float a2 = \"+ERF_A2+\";\\n  float a3 = \"+ERF_A3+\";\\n  float a4 = \"+ERF_A4+\";\\n  float a5 = \"+ERF_A5+\";\\n\\n  float t = 1.0 / (1.0 + p * x);\\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\\n\",SQUARE=\"return x * x;\",RECIPROCAL=\"return 1.0 / x;\",LOGICAL_NOT=\"return float(!(x >= 1.0));\",TO_INT=\"return float(int(x));\",UnpackProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const vec2 onePixel = 1. / vec2(\"+e[1]+\", \"+e[0]+\");\\n\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n        vec2 modCoord = mod(vec2(rc.y, rc.x), 2.);\\n\\n        vec4 packedInput = texture2D(A,\\n          resultUV - step(1., modCoord) * onePixel);\\n\\n        setOutput(\\n          modCoord.x == 0. ?\\n            (modCoord.y == 0. ? packedInput.r : packedInput.b) :\\n            (modCoord.y == 0. ? packedInput.g : packedInput.a)\\n        );\\n      }\\n    \"}}();function concat1d_(e){return concat(e,0)}function concat2d_(e,t){return concat(e,t)}function concat3d_(e,t){return concat(e,t)}function concat4d_(e,t){return concat(e,t)}function concat_(e,t){void 0===t&&(t=0),assert(e.length>=1,\"Pass at least one tensor to concat\");var n=convertToTensorArray(e,\"tensors\",\"concat\");t=parseAxisParam(t,n[0].shape)[0];var 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Please use float32 or int32 tensors.\");if(l<0||c>255)throw new Error(\"Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [\"+l+\" - \"+c+\"].\")}return[4,n.data()];case 3:for(p=S.sent(),d=\"float32\"===n.dtype?255:1,h=new Uint8ClampedArray(a*o*4),f=0;f<o*a;++f)m=void 0,g=void 0,v=void 0,x=void 0,1===i?(m=p[f]*d,g=p[f]*d,v=p[f]*d,x=255):3===i?(m=p[3*f]*d,g=p[3*f+1]*d,v=p[3*f+2]*d,x=255):4===i&&(m=p[4*f]*d,g=p[4*f+1]*d,v=p[4*f+2]*d,x=p[4*f+3]*d),h[(y=4*f)+0]=Math.round(m),h[y+1]=Math.round(g),h[y+2]=Math.round(v),h[y+3]=Math.round(x);return null!=t&&(t.width=a,t.height=o,T=t.getContext(\"2d\"),b=new ImageData(h,a,o),T.putImageData(b,0,0)),n!==e&&n.dispose(),[2,h]}})})}function reshape_(e,t){var n=convertToTensor(e,\"x\",\"reshape\");t=inferFromImplicitShape(t,n.size),assert(n.size===sizeFromShape(t),\"new shape and old shape must have the same number of elements.\");return ENV.engine.runKernel(function(e){return e.reshape(n,t)},{$x:n},function(e){return{$x:function(){return e.reshape(n.shape)}}})}function squeeze_(e,t){var n=convertToTensor(e,\"x\",\"squeeze\");return reshape(n,squeezeShape(n.shape,t).newShape)}function cast_(e,t){var n=convertToTensor(e,\"x\",\"cast\");return ENV.engine.runKernel(function(e){return e.cast(n,t)},{$x:n},function(e){return{$x:function(){return e.clone()}}})}function tile_(e,t){var n=convertToTensor(e,\"x\",\"tile\");assert(n.rank===t.length,\"Error in transpose: rank of input \"+n.rank+\" must match length of reps \"+t+\".\");return ENV.engine.runKernel(function(e){return e.tile(n,t)},{$x:n},function(e){return{$x:function(){var r=zerosLike(n);if(1===n.rank)for(var o=0;o<t[0];++o)r=r.add(e.slice([o*n.shape[0]],[n.shape[0]]));else if(2===n.rank)for(o=0;o<t[0];++o)for(var a=0;a<t[1];++a)r=r.add(e.slice([o*n.shape[0],a*n.shape[1]],[n.shape[0],n.shape[1]]));else if(3===n.rank)for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(var i=0;i<t[2];++i)r=r.add(e.slice([o*n.shape[0],a*n.shape[1],i*n.shape[2]],[n.shape[0],n.shape[1],n.shape[2]]));else{if(4!==n.rank)throw new Error(\"Gradient for tile operation is not implemented for rank-\"+n.rank+\" tensors yet.\");for(o=0;o<t[0];++o)for(a=0;a<t[1];++a)for(i=0;i<t[2];++i)for(var s=0;s<t[3];++s)r=r.add(e.slice([o*n.shape[0],a*n.shape[1],i*n.shape[2],s*n.shape[3]],[n.shape[0],n.shape[1],n.shape[2],n.shape[3]]))}return r}}})}function pad1d_(e,t,n){return void 0===n&&(n=0),assert(2===t.length,\"Invalid number of paddings. Must be length of 2.\"),pad(e,[t],n)}function pad2d_(e,t,n){return void 0===n&&(n=0),assert(2===t.length&&2===t[0].length&&2===t[1].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,n)}function pad3d_(e,t,n){return void 0===n&&(n=0),assert(3===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,n)}function pad4d_(e,t,n){return void 0===n&&(n=0),assert(4===t.length&&2===t[0].length&&2===t[1].length&&2===t[2].length&&2===t[3].length,\"Invalid number of paddings. Must be length of 2 each.\"),pad(e,t,n)}function pad_(e,t,n){void 0===n&&(n=0);var r=convertToTensor(e,\"x\",\"pad\");if(0===r.rank)throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");var o=t.map(function(e){return e[0]});return ENV.engine.runKernel(function(e){return e.pad(r,t,n)},{$x:r},function(e){return{$x:function(){return e.slice(o,r.shape)}}})}function stack_(e,t){void 0===t&&(t=0);var n=convertToTensorArray(e,\"tensors\",\"stack\");if(assert(n.length>=1,\"Pass at least one tensor to tf.stack\"),1===n.length)return n[0].expandDims(t);var r=n[0].rank,o=n[0].shape,a=n[0].dtype;assert(t<=r,\"Axis must be <= rank of the tensor\"),n.forEach(function(e){assertShapesMatch(o,e.shape,\"All tensors passed to stack must have matching shapes\")}),n.forEach(function(e){assert(a===e.dtype,\"All tensors passed to stack must have matching dtypes\")});var i=n.map(function(e){return e.expandDims(t)});return concat(i,t)}function batchToSpaceND_(e,t,n){var r=convertToTensor(e,\"x\",\"batchToSpaceND\"),o=t.reduce(function(e,t){return e*t});assert(r.rank>=1+t.length,\"input rank should be > than [blockShape] but got \"+r.rank),assert(n.length===t.length,\"crops.shape[0] must be equal to [blockShape] but got \"+n.length),assert(r.shape[0]%o==0,\"input tensor batch must be divisible by prod( blockShape )\");return ENV.engine.runKernel(function(e){return e.batchToSpaceND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.spaceToBatchND(t,n)}}})}function spaceToBatchND_(e,t,n){var r=convertToTensor(e,\"x\",\"spaceToBatchND\");assert(r.rank>=1+t.length,\"input rank \"+r.rank+\" should be > than [blockShape] \"+t.length),assert(n.length===t.length,\"paddings.shape[0] \"+n.length+\" must be equal to [blockShape] \"+t.length),assert(r.shape.reduce(function(e,r,o){return o>0&&o<=t.length?e&&(r+n[o-1][0]+n[o-1][1])%t[o-1]==0:e},!0),\"input spatial dimensions \"+r.shape.slice(1)+\" with paddings \"+n.toString()+\" must be divisible by blockShapes \"+t.toString());return ENV.engine.runKernel(function(e){return e.spaceToBatchND(r,t,n)},{$x:r},function(e){return{$x:function(){return e.batchToSpaceND(t,n)}}})}function unstack_(e,t){void 0===t&&(t=0);for(var n,r=convertToTensor(e,\"x\",\"unstack\"),o=r.shape[t],a=Array(r.rank-1).fill(0),i=0,s=0;s<r.rank;s++)s!==t&&(a[i]=r.shape[s],i++);n=Array(o).fill(1);var u=Array(r.rank).fill(0),l=r.shape.slice();return n.map(function(e){l[t]=e;var n=r.slice(u,l);return u[t]+=e,n.reshape(a)})}function cumsum_(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var o=convertToTensor(e,\"x\",\"cumsum\"),a=getAxesPermutation([t|=0],o.rank),i=o;null!=a&&(i=o.transpose(a));var s=getInnerMostAxes(1,o.rank)[0],u=ENV.engine.runKernel(function(e){return e.cumsum(i,s,n,r)},{permutedX:i},function(e){return{permutedX:function(){return e.cumsum(t,n,!r)}}});return null!=a&&(u=u.transpose(a)),u}function expandDims_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"expandDims\");assert(t<=n.rank,\"Axis must be <= rank of the tensor\");var r=n.shape.slice();return t<0&&(assert(-(n.rank+1)<=t,\"Axis must be in the interval [\"+-(n.rank+1)+\", \"+n.rank+\"]\"),t=n.rank+t+1),r.splice(t,0,1),reshape(n,r)}function depthToSpace_(e,t,n){void 0===n&&(n=\"NHWC\");var r=convertToTensor(e,\"x\",\"depthToSpace\"),o=\"NHWC\"===n?r.shape[1]:r.shape[2],a=\"NHWC\"===n?r.shape[2]:r.shape[3],i=\"NHWC\"===n?r.shape[3]:r.shape[1];return assert(o*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+o+\" and \"+t+\"  for depthToSpace with input shape\\n      \"+r.shape),assert(a*t>=0,\"Negative dimension size caused by overflow when multiplying\\n      \"+a+\" and \"+t+\" for depthToSpace with input shape\\n          \"+r.shape),assert(i%(t*t)==0,\"Dimension size must be evenly divisible by \"+t*t+\" but is \"+i+\" for depthToSpace with input shape \"+r.shape),ENV.engine.runKernel(function(e){return e.depthToSpace(r,t,n)},{$x:r})}function buffer(e,t,n){return void 0===t&&(t=\"float32\"),new TensorBuffer(e,t,n)}function print(e,t){void 0===t&&(t=!1),console.log(e.toString(t))}var batchToSpaceND=op({batchToSpaceND_:batchToSpaceND_}),cast=op({cast_:cast_}),clone=op({clone_:clone_}),cumsum=op({cumsum_:cumsum_}),depthToSpace=op({depthToSpace_:depthToSpace_}),expandDims=op({expandDims_:expandDims_}),eye=op({eye_:eye_}),fromPixels=op({fromPixels_:fromPixels_}),multinomial=op({multinomial_:multinomial_}),oneHot=op({oneHot_:oneHot_}),pad=op({pad_:pad_}),pad1d=op({pad1d_:pad1d_}),pad2d=op({pad2d_:pad2d_}),pad3d=op({pad3d_:pad3d_}),pad4d=op({pad4d_:pad4d_}),rand=op({rand_:rand_}),randomNormal=op({randomNormal_:randomNormal_}),randomUniform=op({randomUniform_:randomUniform_}),reshape=op({reshape_:reshape_}),spaceToBatchND=op({spaceToBatchND_:spaceToBatchND_}),squeeze=op({squeeze_:squeeze_}),stack=op({stack_:stack_}),tile=op({tile_:tile_}),truncatedNormal=op({truncatedNormal_:truncatedNormal_}),unstack=op({unstack_:unstack_});function whereImpl(e,t){for(var n=[],r=0;r<t.length;r++)t[r]&&n.push(r);var o=buffer(e,\"int32\"),a=buffer([n.length,e.length],\"int32\");for(r=0;r<n.length;r++){var i=o.indexToLoc(n[r]),s=r*e.length;a.values.set(i,s)}return a.toTensor()}var BEFORE_PAGING_CONSTANT=300,SIZE_UPLOAD_UNIFORM=32,MathBackendWebGL=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.texData=new WeakMap,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ENV.get(\"WEBGL_VERSION\")<1)throw new Error(\"WebGL is not supported on this device\");ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\")),null==e?(this.gpgpu=new GPGPUContext(createWebGLContext(this.canvas)),this.gpgpuCreatedLocally=!0):this.gpgpuCreatedLocally=!1,this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*BEFORE_PAGING_CONSTANT,this.textureManager=new TextureManager(this.gpgpu)}return e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error(\"Data buffer is already registered\");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,complexTensors:null,texShape:null,usage:TextureUsage.RENDER})},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var n=[e.height,e.width],r=[e.height,e.width,t];if(!(e instanceof HTMLVideoElement||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof ImageData))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(e instanceof HTMLVideoElement){if(null==this.fromPixelsCanvas){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");if(\"complete\"!==document.readyState)throw new Error(\"The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object\");this.fromPixelsCanvas=document.createElement(\"canvas\")}this.fromPixelsCanvas.width=e.width,this.fromPixelsCanvas.height=e.height,this.fromPixelsCanvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),e=this.fromPixelsCanvas}var o=Tensor.make(n,{},\"int32\");this.texData.get(o.dataId).usage=TextureUsage.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(o.dataId),e);var a=new FromPixelsProgram(r),i=this.compileAndRun(a,[o]);return o.dispose(),i},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendWebGL.write(): values can not be null\");this.throwIfNoData(e);var n=this.texData.get(e),r=n.texture,o=n.texShape,a=n.usage;if(\"complex64\"===n.dtype)throw new Error(\"Cannot write to a complex64 dtype. Please use tf.complex(real, imag).\");null!=r&&(this.releaseTexture(e,r,o,a),n.texture=null,n.texShape=null),n.usage=TextureUsage.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.texture,o=t.values,a=t.texShape,i=t.dtype,s=t.complexTensors;if(null!=o)return this.cacheOnCPU(e),o;var u,l,c=null!=this.activeTimers;(c&&(u=performance.now()),\"complex64\"===i)?l=mergeRealAndImagArrays(s.real.dataSync(),s.imag.dataSync()):l=this.getValuesFromTexture(r,e,i,a,n);return c&&(this.downloadWaitMs+=performance.now()-u),this.cacheOnCPU(e,l),t.values},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i,s,u,l,c;return __generator(this,function(p){switch(p.label){case 0:if(this.pendingRead.has(e))return t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})];if(this.throwIfNoData(e),n=this.texData.get(e),r=n.shape,o=n.texture,a=n.values,i=n.texShape,s=n.dtype,null!=a)return this.cacheOnCPU(e),[2,a];if(this.pendingRead.set(e,[]),!ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")&&2===ENV.get(\"WEBGL_VERSION\"))throw new Error(\"tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.\");return u=this.gpgpu.maybeCreateBufferFromTexture(o,i[0],i[1]),[4,this.gpgpu.createAndWaitForFence()];case 1:return p.sent(),l=u instanceof WebGLTexture?this.getValuesFromTexture(o,e,s,i,r):this.gpgpu.downloadFloat32MatrixFromBuffer(u,i[0],i[1]),this.cacheOnCPU(e,l),c=this.pendingRead.get(e),this.pendingRead.delete(e),c.forEach(function(e){return e(l)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,l]}})})},e.prototype.getValuesFromTexture=function(e,t,n,r,o){if(ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"))return this.texData.get(t).usage===TextureUsage.PACK?this.gpgpu.downloadMatrixFromPackedTexture(e,r[0],r[1]):this.gpgpu.downloadFloat32MatrixFromOutputTexture(e,r[0],r[1]);var a=Tensor.make(o,{});this.texData.get(a.dataId).usage=TextureUsage.DOWNLOAD;var i=Tensor.make(o,{dataId:t},n),s=new EncodeFloatProgram(o);this.compileAndRun(s,[i],a,null,!1);var u=this.texData.get(a.dataId),l=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(u.texture,u.texShape[0],u.texShape[1]);return i.dispose(),a.dispose(),l},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i;return __generator(this,function(s){switch(s.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),o=flatten(this.activeTimers),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(o).then(function(e){var t=0;return e.forEach(function(e){return t+=e}),t})];case 1:return a=s.sent(),i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:a,wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,i]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,o=t.usage,a=t.complexTensors;null!=n&&this.releaseTexture(e,n,r,o),null!=a&&(a.real.dispose(),a.imag.dispose()),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.complex=function(e,t){var n=Tensor.make(e.shape,{},\"complex64\");return this.texData.get(n.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},e.prototype.slice=function(e,t,n){var r=new SliceProgram(n),o=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,o)},e.prototype.stridedSlice=function(e,t,n,r,o,a,i,s,u){var l=getStridedSlicedInfo(e.shape,t,n,r,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);var f=new StridedSliceProgram(c,r,p,d);return this.compileAndRun(f,[e])},e.prototype.reverse=function(e,t){var n=new ReverseProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat2Tensors=function(e,t,n){var r=computeOutShape([e.shape,t.shape],n),o=e.as2D(-1,sizeFromShape(e.shape.slice(n))),a=t.as2D(-1,sizeFromShape(t.shape.slice(n))),i=new ConcatProgram(o.shape,a.shape);return this.compileAndRun(i,[o,a]).reshape(r)},e.prototype.concat=function(e,t){if(1===e.length)return e[0];for(var n=e[0],r=1;r<e.length;++r)n=this.concat2Tensors(n,e[r],t);return n},e.prototype.neg=function(e){var t=new UnaryOpProgram(e.shape,NEG);return this.compileAndRun(t,[e])},e.prototype.batchMatMul=function(e,t,n,r){var o=n?e.shape[2]:e.shape[1],a=r?t.shape[1]:t.shape[2];if(ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")&&1===e.shape[0]&&1===t.shape[0]&&arraysEqual(getTextureShapeFromLogicalShape(this.gpgpu.gl,[o,a]),[o,a])){var i=e.as2D(e.shape[1],e.shape[2]),s=t.as2D(t.shape[1],t.shape[2]),u=new PackProgram(i.shape),l=Tensor.make(i.shape,{});this.texData.get(l.dataId).usage=TextureUsage.PACK;var c=this.compileAndRun(u,[i],l),p=new PackProgram(s.shape),d=Tensor.make(s.shape,{});this.texData.get(d.dataId).usage=TextureUsage.PACK;var h=this.compileAndRun(p,[s],d),f=new MatMulPackedProgram(c.shape,h.shape,[o,a],n,r),m=Tensor.make(f.outputShape,{});this.texData.get(m.dataId).usage=TextureUsage.PACK;var g=this.compileAndRun(f,[c,h],m),v=new UnpackProgram(g.shape),x=this.compileAndRun(v,[g]);return l.dispose(),d.dispose(),m.dispose(),x.reshape([1,g.shape[0],g.shape[1]])}return this.compileAndRun(new MatMulProgram(e.shape,t.shape,n,r),[e,t])},e.prototype.multiply=function(e,t){if(\"complex64\"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),o=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.REAL,e.shape,t.shape),a=new BinaryOpComplexProgram(COMPLEX_MULTIPLY.IMAG,e.shape,t.shape),i=[this.makeComplexComponentTensorHandle(e,n.complexTensors.real),this.makeComplexComponentTensorHandle(e,n.complexTensors.imag),this.makeComplexComponentTensorHandle(t,r.complexTensors.real),this.makeComplexComponentTensorHandle(t,r.complexTensors.imag)],s=this.compileAndRun(o,i),u=this.compileAndRun(a,i),l=this.complex(s,u);return s.dispose(),u.dispose(),l}var c=new BinaryOpProgram(MUL,e.shape,t.shape),p=this.makeOutputArray(c.outputShape,e.dtype);return this.compileAndRun(c,[e,t],p)},e.prototype.batchNormalization=function(e,t,n,r,o,a){var i=[e,t,n],s=null;null!=a&&(s=a.shape,i.push(a));var u=null;null!=o&&(u=o.shape,i.push(o));var l=new BatchNormProgram(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,i)},e.prototype.localResponseNormalization4D=function(e,t,n,r,o){var a=new LRNProgram(e.shape,t,n,r,o);return this.compileAndRun(a,[e])},e.prototype.LRNGrad=function(e,t,n,r,o,a,i){var s=new LRNGradProgram(t.shape,r,o,a,i);return this.compileAndRun(s,[t,n,e])},e.prototype.tile=function(e,t){var n=new TileProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new PadProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new TransposeProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new GatherProgram(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.batchToSpaceND=function(e,t,n){assert(e.rank<=4,\"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet\");var r=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,r),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,r),s=getSliceBeginCoords(n,t.length),u=getSliceSize(i,n,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){assert(e.rank<=4,\"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet\");var r=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,n);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,r,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,r,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.reduce=function(e,t,n){var r=e.shape[0],o=e.shape[1],a=computeOptimalWindowSize(o),i=new ReduceProgram({windowSize:a,inSize:o,batchSize:r},t),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(i,[e],c),1===c.shape[1]?c:this.reduce(c,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],o=e.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=computeOptimalWindowSize(o),i=new ArgMinMaxProgram({windowSize:a,inSize:o,batchSize:r},t,null==n),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],\"int32\"),p=[e];return null!=n&&p.push(n),this.compileAndRun(i,p,c),1===c.shape[1]?c:this.argReduce(e,t,c)},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o),i=sumOutType(e.dtype);return this.reduce(a,\"sum\",i).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,o=getAxesPermutation([r],e.rank),a=e;null!=o&&(a=e.transpose(o),r=getInnerMostAxes(1,e.rank)[0]);var i=computeOutShape$1(a.shape,r,n),s=sizeFromShape([a.shape[r]]),u=a.as2D(-1,s),l=sumOutType(e.dtype),c=this.segOpCompute(u,\"unsortedSegmentSum\",t,l,n).reshape(i);return null!=o&&(c=c.transpose(getUndoAxesPermutation(o))),c},e.prototype.segOpCompute=function(e,t,n,r,o){var a=e.shape[0],i=e.shape[1],s=segOpComputeOptimalWindowSize(i,o),u=new SegmentOpProgram({windowSize:s,inSize:i,batchSize:a,numSegments:o},t),l=u.outputShape,c=l[0],p=l[1],d=this.makeOutputArray([c,p],r);return this.compileAndRun(u,[e,n],d),d.shape[1]===o?d:(n=range(0,o).tile([i/s]),this.segOpCompute(d,t,n,r,o))},e.prototype.argMin=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMin\",n,e.rank);var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=sizeFromShape(r[1]),i=e.as2D(-1,a);return this.argReduce(i,\"min\").reshape(o)},e.prototype.argMax=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMax\",n,e.rank);var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=sizeFromShape(r[1]),i=e.as2D(-1,a);return this.argReduce(i,\"max\").reshape(o)},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error(\"WebGL cumsum shader expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);var o=new CumSumProgram(e.shape,n,r);return this.compileAndRun(o,[e])},e.prototype.equal=function(e,t){var n=new BinaryOpProgram(EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new BinaryOpProgram(NOT_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){var n=new BinaryOpProgram(LESS,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new BinaryOpProgram(LESS_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){var n=new BinaryOpProgram(GREATER,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new BinaryOpProgram(GREATER_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new UnaryOpProgram(e.shape,LOGICAL_NOT);return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new BinaryOpProgram(LOGICAL_AND,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new BinaryOpProgram(LOGICAL_OR,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.select=function(e,t,n){var r=new SelectProgram(e.rank,t.shape,t.rank),o=this.makeOutputArray(r.outputShape,upcastType(t.dtype,n.dtype));return this.compileAndRun(r,[e,t,n],o)},e.prototype.where=function(e){warn(\"tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,n){return topkImpl(e.dataSync(),e.shape,e.dtype,t,n)},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"min\",a.dtype).reshape(r)},e.prototype.minimum=function(e,t){var n=new BinaryOpProgram(MIN,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new BinaryOpProgram(MOD,e.shape,t.shape),r=n.getCustomSetupFunc();return this.compileAndRun(n,[e,t],null,r)},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"max\",a.dtype).reshape(r)},e.prototype.maximum=function(e,t){var n=new BinaryOpProgram(MAX,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"all\",a.dtype).reshape(r)},e.prototype.any=function(e,t){assertAxesAreInnerMostDims(\"any\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=sizeFromShape(n[1]),a=e.as2D(-1,o);return this.reduce(a,\"any\",a.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new BinaryOpProgram(SQUARED_DIFFERENCE,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new BinaryOpProgram(DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new BinaryOpProgram(INT_DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"int32\");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,ADD);var n=new BinaryOpProgram(ADD,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.complexSeparableBinaryOp=function(e,t,n){var r=this,o=this.texData.get(e.dataId),a=this.texData.get(t.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map(function(o){var a=o[0],i=o[1],s=new BinaryOpProgram(n,e.shape,t.shape),u=r.makeOutputArray(s.outputShape,upcastType(a.dtype,i.dtype)),l=r.makeComplexComponentTensorHandle(e,a),c=r.makeComplexComponentTensorHandle(t,i);return r.compileAndRun(s,[l,c],u)}),s=i[0],u=i[1],l=this.complex(s,u);return s.dispose(),u.dispose(),l},e.prototype.makeComplexComponentTensorHandle=function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}},e.prototype.addN=function(e){for(var t=e[0],n=1;n<e.length;n++)t=this.add(t,e[n]);return t},e.prototype.subtract=function(e,t){if(\"complex64\"===e.dtype&&\"complex64\"===t.dtype)return this.complexSeparableBinaryOp(e,t,SUB);var n=new BinaryOpProgram(SUB,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new BinaryOpProgram(POW,e.shape,t.shape),r=n.getCustomSetupFunc(),o=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],o,r)},e.prototype.ceil=function(e){var t=new UnaryOpProgram(e.shape,CEIL);return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new UnaryOpProgram(e.shape,FLOOR);return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new UnaryOpProgram(e.shape,SIGN);return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new UnaryOpProgram(e.shape,ROUND);return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new UnaryOpProgram(e.shape,EXP);return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new UnaryOpProgram(e.shape,EXPM1);return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new UnaryOpProgram(e.shape,LOG),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.log1p=function(e){var t=new UnaryOpProgram(e.shape,LOG1P);return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new UnaryOpProgram(e.shape,SQRT);return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new UnaryOpProgram(e.shape,RSQRT);return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new UnaryOpProgram(e.shape,SQUARE);return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new UnaryOpProgram(e.shape,RECIPROCAL);return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new UnaryOpProgram(e.shape,RELU);return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new UnaryOpProgram(e.shape,ELU);return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new BinaryOpProgram(ELU_DER,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new UnaryOpProgram(e.shape,SELU);return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new UnaryOpProgram(e.shape,TO_INT),n=this.makeOutputArray(t.outputShape,\"int32\");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new ClipProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new UnaryOpProgram(e.shape,ABS);return this.compileAndRun(t,[e])},e.prototype.sigmoid=function(e){var t=new UnaryOpProgram(e.shape,SIGMOID);return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new UnaryOpProgram(e.shape,SOFTPLUS);return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new UnaryOpProgram(e.shape,SIN);return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new UnaryOpProgram(e.shape,COS);return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new UnaryOpProgram(e.shape,TAN);return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new UnaryOpProgram(e.shape,ASIN);return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new UnaryOpProgram(e.shape,ACOS);return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new UnaryOpProgram(e.shape,ATAN);return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new BinaryOpProgram(ATAN2,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new UnaryOpProgram(e.shape,SINH);return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new UnaryOpProgram(e.shape,COSH);return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new UnaryOpProgram(e.shape,TANH);return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new UnaryOpProgram(e.shape,ASINH);return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new UnaryOpProgram(e.shape,ACOSH),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.atanh=function(e){var t=new UnaryOpProgram(e.shape,ATANH),n=t.getCustomSetupFunc();return this.compileAndRun(t,[e],null,n)},e.prototype.erf=function(e){var t=new UnaryOpProgram(e.shape,ERF);return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new UnaryOpProgram(e.shape,STEP(t));return this.compileAndRun(n,[e])},e.prototype.conv2d=function(e,t,n){var r=new Conv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new Conv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new Conv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new DepthwiseConv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new DepthwiseConv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new DepthwiseConv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new Pool2DProgram(t,\"max\",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new Pool2DProgram(t,\"avg\",!1),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var o=new Pool2DProgram(r,\"max\",!0),a=this.compileAndRun(o,[t]),i=new MaxPool2DBackpropProgram(r),s=this.makeOutputArray(i.outputShape,t.dtype),u=this.compileAndRun(i,[e,a],s);return a.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new AvgPool2DBackpropProgram(n),o=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],o)},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var o=new ResizeBilinearProgram(e.shape,t,n,r);return this.compileAndRun(o,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new ResizeBilinearBackpropProgram(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var o=new ResizeNearestNeighborProgram(e.shape,t,n,r);return this.compileAndRun(o,[e])},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){var r=new ResizeNearestNeigborBackpropProgram(e,t,n);return this.compileAndRun(r,[e])},e.prototype.multinomial=function(e,t,n,r){var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=new MultinomialProgram(a,i,n),u=this.makeOutputArray(s.outputShape,\"int32\"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],u,l)},e.prototype.oneHot=function(e,t,n,r){var o=new OneHotProgram(e.size,t,n,r);return this.compileAndRun(o,[e])},e.prototype.nonMaxSuppression=function(e,t,n,r,o){return warn(\"tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),n,r,o)},e.prototype.cropAndResize=function(e,t,n,r,o,a){var i=new CropAndResizeProgram(e.shape,t.shape,r,o,a);return this.compileAndRun(i,[e,t,n])},e.prototype.depthToSpace=function(e,t,n){assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);var r=e.shape[0],o=(\"NHWC\"===n?e.shape[1]:e.shape[2])*t,a=(\"NHWC\"===n?e.shape[2]:e.shape[3])*t,i=(\"NHWC\"===n?e.shape[3]:e.shape[1])/(t*t),s=new DepthToSpaceProgram(\"NHWC\"===n?[r,o,a,i]:[r,i,o,a],t,n);return this.compileAndRun(s,[e])},e.prototype.split=function(e,t,n){return split(e,t,n)},e.prototype.makeOutputArray=function(e,t){return Tensor.make(e,{},t)},e.prototype.compileAndRun=function(e,t,n,r,o){var a=this;if(void 0===o&&(o=!0),null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype)),0===n.size)return this.texData.get(n.dataId).values=getTypedArrayFromDType(n.dtype,0),n;var i=t.map(function(e){if(\"complex64\"===e.dtype)throw new Error(\"GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.\");var t=a.texData.get(e.dataId);return null==t.texture&&sizeFromShape(e.shape)<=SIZE_UPLOAD_UNIFORM?{shape:e.shape,texData:null,isUniform:!0,uniformValues:a.readSync(e.dataId)}:(a.uploadToGPU(e.dataId),{shape:e.shape,texData:t,isUniform:!1})});this.uploadToGPU(n.dataId);var s,u={shape:n.shape,texData:this.texData.get(n.dataId),isUniform:!1},l=makeShaderKey(e,i,u),c=this.getAndSaveBinary(l,function(){return compileProgram(a.gpgpu,e,i,u)}),p=null!=this.activeTimers;if(p&&(s=this.startTimer()),runProgram(c,i,u,r),o&&this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var d=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;d>0&&this.lruDataGPU.length>0;){var h=this.lruDataGPU.shift(),f=this.texData.get(h),m=f.shape,g=f.dtype;d-=this.computeBytes(m,g),this.read(h)}return p&&(s=this.endTimer(s),this.activeTimers.push(this.getQueryTime(s))),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixelsCanvas&&this.fromPixelsCanvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.floatPrecision=function(){var e=this;return tidy(function(){return e.abs(scalar(1e-8)).get()>0?32:16})},e.prototype.throwIfNoData=function(e){if(!this.texData.has(e))throw new Error(\"WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.uploadToGPU=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.values,o=t.texture,a=t.dtype,i=t.usage;if(null==o){var s,u=null!=this.activeTimers;u&&(s=performance.now());var l=getTextureShapeFromLogicalShape(this.gpgpu.gl,n);t.texShape=l;var c=this.acquireTexture(e,l,i);t.texture=c,null!=r&&(this.gpgpu.uploadMatrixToTexture(c,l[0],l[1],typedArrayToFloat32(r,a)),t.values=null,u&&(this.uploadWaitMs+=performance.now()-s))}else{this.lruDataGPU.indexOf(e)>=0&&(this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),this.lruDataGPU.push(e))}},e.prototype.cacheOnCPU=function(e,t){var n=this.delayedStorage,r=this.texData.get(e),o=r.texture,a=r.texShape,i=r.dtype,s=r.usage;n&&null!=o&&(this.releaseTexture(e,o,a,s),r.texture=null,r.texShape=null),r.usage=TextureUsage.UPLOAD,null!=t&&(r.values=float32ToTypedArray(t,i))},e.prototype.releaseTexture=function(e,t,n,r){var o=this.texData.get(e),a=o.shape,i=o.dtype,s=this.lruDataGPU.indexOf(e);s>=0&&this.lruDataGPU.splice(s,1),this.numBytesInGPU-=this.computeBytes(a,i),this.textureManager.releaseTexture(t,n,r)},e.prototype.acquireTexture=function(e,t,n){var r=this.texData.get(e),o=r.shape,a=r.dtype;return this.lruDataGPU.push(e),this.numBytesInGPU+=this.computeBytes(o,a),this.textureManager.acquireTexture(t,n)},e.prototype.computeBytes=function(e,t){return sizeFromShape(e)*bytesPerElement(t)},e}();function float32ToTypedArray(e,t){if(\"float32\"===t||\"complex64\"===t)return e;if(\"int32\"===t||\"bool\"===t){for(var n=\"int32\"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error(\"Unknown dtype \"+t)}function typedArrayToFloat32(e,t){return e instanceof Float32Array?e:new Float32Array(e)}function neg_(e){var t=convertToTensor(e,\"x\",\"neg\");return ENV.engine.runKernel(function(e){return e.neg(t)},{$x:t},function(e){return{$x:function(){return e.neg()}}})}function ceil_(e){var t=convertToTensor(e,\"x\",\"ceil\");return ENV.engine.runKernel(function(e){return e.ceil(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function floor_(e){var t=convertToTensor(e,\"x\",\"floor\");return ENV.engine.runKernel(function(e){return e.floor(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function sign_(e){var t=convertToTensor(e,\"x\",\"sign\");return ENV.engine.runKernel(function(e){return e.sign(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function round_(e){var t=convertToTensor(e,\"x\",\"round\");return ENV.engine.runKernel(function(e){return e.round(t)},{$x:t},function(e){return{$x:function(){return zerosLike(e)}}})}function exp_(e){var t=convertToTensor(e,\"x\",\"exp\");return ENV.engine.runKernel(function(e,n){return n(e.exp(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return e.mulStrict(n)}}})}function expm1_(e){var t=convertToTensor(e,\"x\",\"expm1\");return ENV.engine.runKernel(function(e){return e.expm1(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.exp())}}})}function log_(e){var t=convertToTensor(e,\"x\",\"log\");return ENV.engine.runKernel(function(e){return e.log(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat())}}})}function log1p_(e){var t=convertToTensor(e,\"x\",\"log1p\");return ENV.engine.runKernel(function(e){return e.log1p(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.add(scalar(1)))}}})}function sqrt_(e){var t=convertToTensor(e,\"x\",\"sqrt\");return ENV.engine.runKernel(function(e){return e.sqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().sqrt().mul(scalar(2)))}}})}function rsqrt_(e){var t=convertToTensor(e,\"x\",\"rsqrt\");return ENV.engine.runKernel(function(e){return e.rsqrt(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.pow(scalar(1.5)).mul(scalar(2))).neg()}}})}function square_(e){var t=convertToTensor(e,\"x\",\"square\");return ENV.engine.runKernel(function(e){return e.square(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().mul(scalar(2)))}}})}function reciprocal_(e){var t=convertToTensor(e,\"x\",\"reciprocal\");return ENV.engine.runKernel(function(e){return e.reciprocal(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.square().neg())}}})}function abs_(e){var t=convertToTensor(e,\"x\",\"abs\");return ENV.engine.runKernel(function(e){return e.abs(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.toFloat().step(-1))}}})}function clipByValue_(e,t,n){var r=convertToTensor(e,\"x\",\"clipByValue\");assert(t<=n,\"Error in clip: min (\"+t+\") must be less than or equal to max (\"+n+\").\");return ENV.engine.runKernel(function(e){return e.clip(r,t,n)},{$x:r},function(e){return{$x:function(){return e.where(r.greaterEqual(scalar(t)).logicalAnd(r.lessEqual(scalar(n))),zerosLike(e))}}})}function sigmoid_(e){var t=convertToTensor(e,\"x\",\"sigmoid\");return ENV.engine.runKernel(function(e,n){return n(e.sigmoid(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return e.mulStrict(n.mul(scalar(1).sub(n)))}}})}function logSigmoid_(e){var t=convertToTensor(e,\"x\",\"logSigmoid\");return ENV.engine.runKernel(function(e){return e.softplus(t.neg()).neg()},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.neg().sigmoid())}}})}function softplus_(e){var t=convertToTensor(e,\"x\",\"softplus\");return ENV.engine.runKernel(function(e){return e.softplus(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(t.sigmoid())}}})}function sin_(e){var t=convertToTensor(e,\"x\",\"sin\");return ENV.engine.runKernel(function(e){return e.sin(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cos().mulStrict(e)}}})}function cos_(e){var t=convertToTensor(e,\"x\",\"cos\");return ENV.engine.runKernel(function(e){return e.cos(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sin().neg().mulStrict(e)}}})}function tan_(e){var t=convertToTensor(e,\"x\",\"tan\");return ENV.engine.runKernel(function(e){return e.tan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.cos().square())}}})}function asin_(e){var t=convertToTensor(e,\"x\",\"asin\");return ENV.engine.runKernel(function(e){return e.asin(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt())}}})}function acos_(e){var t=convertToTensor(e,\"x\",\"acos\");return ENV.engine.runKernel(function(e){return e.acos(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()).sqrt()).neg()}}})}function atan_(e){var t=convertToTensor(e,\"x\",\"atan\");return ENV.engine.runKernel(function(e){return e.atan(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()))}}})}function sinh_(e){var t=convertToTensor(e,\"x\",\"sinh\");return ENV.engine.runKernel(function(e){return e.sinh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().cosh().mulStrict(e)}}})}function cosh_(e){var t=convertToTensor(e,\"x\",\"cosh\");return ENV.engine.runKernel(function(e){return e.cosh(t)},{$x:t},function(e){return{$x:function(){return t.toFloat().sinh().mulStrict(e)}}})}function tanh_(e){var t=convertToTensor(e,\"x\",\"tanh\");return ENV.engine.runKernel(function(e,n){return n(e.tanh(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return scalar(1).sub(n.square()).mulStrict(e)}}})}function asinh_(e){var t=convertToTensor(e,\"x\",\"asinh\");return ENV.engine.runKernel(function(e){return e.asinh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).add(t.toFloat().square()).sqrt())}}})}function acosh_(e){var t=convertToTensor(e,\"x\",\"acosh\");return ENV.engine.runKernel(function(e){return e.acosh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(t.toFloat().square().sub(scalar(1)).sqrt())}}})}function atanh_(e){var t=convertToTensor(e,\"x\",\"atanh\");return ENV.engine.runKernel(function(e){return e.atanh(t)},{$x:t},function(e){return{$x:function(){return e.divStrict(scalar(1).sub(t.toFloat().square()))}}})}function erf_(e){var t=convertToTensor(e,\"x\",\"erf\");assert(\"int32\"===t.dtype||\"float32\"===t.dtype,\"Input dtype must be `int32` or `float32`.\"),\"int32\"===t.dtype&&(t=t.toFloat());return ENV.engine.runKernel(function(e){return e.erf(t)},{$x:t},function(e){return{$x:function(){return e.mulStrict(scalar(2/Math.sqrt(Math.PI)).mul(t.square().neg().exp()))}}})}function step_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"step\");return ENV.engine.runKernel(function(e){return e.step(n,t)},{$x:n},function(e){return{$x:function(){return zerosLike(e)}}})}ENV.get(\"IS_BROWSER\")&&ENV.registerBackend(\"webgl\",function(){return new MathBackendWebGL},2,setTensorTracker);var abs=op({abs_:abs_}),acos=op({acos_:acos_}),acosh=op({acosh_:acosh_}),asin=op({asin_:asin_}),asinh=op({asinh_:asinh_}),atan=op({atan_:atan_}),atanh=op({atanh_:atanh_}),ceil=op({ceil_:ceil_}),clipByValue=op({clipByValue_:clipByValue_}),cos=op({cos_:cos_}),cosh=op({cosh_:cosh_}),erf=op({erf_:erf_}),exp=op({exp_:exp_}),expm1=op({expm1_:expm1_}),floor=op({floor_:floor_}),log$1=op({log_:log_}),log1p=op({log1p_:log1p_}),logSigmoid=op({logSigmoid_:logSigmoid_}),neg=op({neg_:neg_}),reciprocal=op({reciprocal_:reciprocal_}),round=op({round_:round_}),rsqrt=op({rsqrt_:rsqrt_}),sigmoid=op({sigmoid_:sigmoid_}),sign=op({sign_:sign_}),sin=op({sin_:sin_}),sinh=op({sinh_:sinh_}),softplus=op({softplus_:softplus_}),sqrt=op({sqrt_:sqrt_}),square=op({square_:square_}),step=op({step_:step_}),tan=op({tan_:tan_}),tanh$1=op({tanh_:tanh_});function batchNormalization2d_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(n,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(2===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(2===l.rank||1===l.rank,\"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank \"+l.rank+\".\"),assert(2===c.rank||1===c.rank,\"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(2===i.rank||1===i.rank,\"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(2===s.rank||1===s.rank,\"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,r,i,s)}function batchNormalization3d_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(n,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(3===u.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+u.rank+\".\"),assert(3===l.rank||1===l.rank,\"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank \"+l.rank+\".\"),assert(3===c.rank||1===c.rank,\"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(3===i.rank||1===i.rank,\"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(3===s.rank||1===s.rank,\"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,r,i,s)}function batchNormalization4d_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u=convertToTensor(e,\"x\",\"batchNormalization\"),l=convertToTensor(t,\"mean\",\"batchNormalization\"),c=convertToTensor(n,\"variance\",\"batchNormalization\");return null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(4===u.rank,\"Error in batchNormalization4D: x must be rank 4 but got rank \"+u.rank+\".\"),assert(4===l.rank||1===l.rank,\"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank \"+l.rank+\".\"),assert(4===c.rank||1===c.rank,\"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank \"+c.rank+\".\"),null!=i&&assert(4===i.rank||1===i.rank,\"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank \"+i.rank+\".\"),null!=s&&assert(4===s.rank||1===s.rank,\"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank \"+s.rank+\".\"),batchNormalization(u,l,c,r,i,s)}function batchNormalization_(e,t,n,r,o,a){void 0===r&&(r=.001);var i,s,u,l=convertToTensor(e,\"x\",\"batchNormalization\"),c=convertToTensor(t,\"mean\",\"batchNormalization\"),p=convertToTensor(n,\"variance\",\"batchNormalization\");null!=o&&(i=convertToTensor(o,\"scale\",\"batchNormalization\")),null!=a&&(s=convertToTensor(a,\"offset\",\"batchNormalization\")),assert(c.rank===p.rank,\"Batch normalization gradient requires mean and variance to have equal ranks.\"),assert(null==s||c.rank===s.rank,\"Batch normalization gradient requires mean and offset to have equal ranks.\"),assert(null==i||c.rank===i.rank,\"Batch normalization gradient requires mean and scale to have equal ranks.\"),u=0===l.rank||1===l.rank?l.as4D(1,1,1,l.size):2===l.rank?l.as4D(1,1,l.shape[0],l.shape[1]):3===l.rank?l.as4D(1,l.shape[0],l.shape[1],l.shape[2]):l;return ENV.engine.runKernel(function(e){return e.batchNormalization(u,batchnormReshape4D(c),batchnormReshape4D(p),r,batchnormReshape4D(i),batchnormReshape4D(s))},{$x:l,$mean:c,$variance:p,$scale:i,$offset:s},function(e){var t=null==i?scalar(1):i,n=getReductionAxes(c.shape,u.shape),o=[];if(1===c.rank){for(var a=0;a<u.shape.length-1;++a)o.push(u.shape[a]);o.push(1)}var s=l.sub(c),d=e.mul(t),h=rsqrt(p.add(scalar(r))),f=h.mul(h).mul(h).mul(scalar(-.5));return{$x:function(){return 1===c.rank?e.mul(tile(h.as4D(1,1,1,c.shape[0]),o)).mul(t).reshape(l.shape):e.mul(h).mul(t).reshape(l.shape)},$mean:function(){var e=h.mul(scalar(-1)).mul(d);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$variance:function(){var e=f.mul(s).mul(d);return 1===c.rank&&(e=e.sum(n)),e.reshape(c.shape)},$scale:function(){var t=s.mul(h),r=e.mul(t);return 1===c.rank&&(r=r.sum(n)),r.reshape(c.shape)},$offset:function(){var t=e;return 1===c.rank&&(t=t.sum(n)),t.reshape(c.shape)}}}).reshape(l.shape)}function batchnormReshape4D(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}var batchNormalization2d=op({batchNormalization2d_:batchNormalization2d_}),batchNormalization3d=op({batchNormalization3d_:batchNormalization3d_}),batchNormalization4d=op({batchNormalization4d_:batchNormalization4d_}),batchNormalization=op({batchNormalization_:batchNormalization_});function computePool2DInfo(e,t,n,r,o,a){void 0===a&&(a=\"channelsLast\");var i,s=parseTupleParam(t),u=s[0],l=s[1];if(\"channelsLast\"===a)i=[u,l,e[3],e[3]];else{if(\"channelsFirst\"!==a)throw new Error(\"Unknown dataFormat \"+a);i=[u,l,e[1],e[1]]}return computeConv2DInfo(e,i,n,1,r,o,!1,a)}function computeConv2DInfo(e,t,n,r,o,a,i,s){void 0===i&&(i=!1),void 0===s&&(s=\"channelsLast\");var u=[-1,-1,-1,-1],l=u[0],c=u[1],p=u[2],d=u[3];if(\"channelsLast\"===s)l=e[0],c=e[1],p=e[2],d=e[3];else{if(\"channelsFirst\"!==s)throw new Error(\"Unknown dataFormat \"+s);l=e[0],d=e[1],c=e[2],p=e[3]}var h,f=t[0],m=t[1],g=t[3],v=parseTupleParam(n),x=v[0],y=v[1],T=parseTupleParam(r),b=T[0],S=T[1],E=getPadAndOutInfo(o,c,p,x,y,getEffectiveFilterSize(f,b),getEffectiveFilterSize(m,S),a),w=E.padInfo,C=E.outHeight,A=E.outWidth,_=i?g*d:g;return\"channelsFirst\"===s?h=[l,_,C,A]:\"channelsLast\"===s&&(h=[l,C,A,_]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:p,inChannels:d,outHeight:C,outWidth:A,outChannels:_,padInfo:w,strideHeight:x,strideWidth:y,filterHeight:f,filterWidth:m,dilationHeight:b,dilationWidth:S,inShape:e,outShape:h,filterShape:t}}function computeOutputShape3D(e,t,n,r,o,a){null==o&&(o=computeDefaultPad(e,t,r));var i=e[0],s=e[1],u=conditionalRound((i-t+2*o)/r+1,a);assert(isInt(u),\"The output # of rows (\"+u+\") must be an integer. Change the stride and/or zero pad parameters\");var l=conditionalRound((s-t+2*o)/r+1,a);return assert(isInt(l),\"The output # of columns (\"+l+\") must be an integer. Change the stride and/or zero pad parameters\"),[u,l,n]}function computeDefaultPad(e,t,n,r){void 0===r&&(r=1);var o=getEffectiveFilterSize(t,r);return Math.floor((e[0]*(n-1)-n+o)/2)}function parseTupleParam(e){return\"number\"==typeof e?[e,e]:e}function getEffectiveFilterSize(e,t){return t<=1?e:e+(e-1)*(t-1)}function getPadAndOutInfo(e,t,n,r,o,a,i,s){var u,l,c;if(\"number\"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?\"VALID\":\"NUMBER\"};var p=computeOutputShape3D([t,n,1],a,1,r,e,s);l=p[0],c=p[1]}else if(\"same\"===e){var d=((l=Math.ceil(t/r))-1)*r+a-t,h=((c=Math.ceil(n/o))-1)*o+i-n,f=Math.floor(d/2),m=d-f,g=Math.floor(h/2);u={top:f,bottom:m,left:g,right:h-g,type:\"SAME\"}}else{if(\"valid\"!==e)throw Error(\"Unknown padding parameter: \"+e);u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},l=Math.ceil((t-a+1)/r),c=Math.ceil((n-i+1)/o)}return{padInfo:u,outHeight:l,outWidth:c}}function conditionalRound(e,t){if(!t)return e;switch(t){case\"round\":return Math.round(e);case\"ceil\":return Math.ceil(e);case\"floor\":return Math.floor(e);default:throw new Error(\"Unknown roundingMode \"+t)}}function matMul_(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1);var o=convertToTensor(e,\"a\",\"matMul\"),a=convertToTensor(t,\"b\",\"matMul\"),i=n?o.shape[o.rank-2]:o.shape[o.rank-1],s=r?a.shape[a.rank-1]:a.shape[a.rank-2],u=n?o.shape[o.rank-1]:o.shape[o.rank-2],l=r?a.shape[a.rank-2]:a.shape[a.rank-1],c=o.shape.slice(0,-2),p=a.shape.slice(0,-2),d=sizeFromShape(c),h=sizeFromShape(p);assert(o.rank>=2&&a.rank>=2&&o.rank===a.rank,\"Error in matMul: inputs must have the same rank of at least 2, got ranks \"+o.rank+\" and \"+a.rank+\".\"),assert(arraysEqual(c,p),\"Error in matMul: outer dimensions (\"+c+\") and (\"+p+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" must match.\"),assert(i===s,\"Error in matMul: inner shapes (\"+i+\") and (\"+s+\") of Tensors with shapes \"+o.shape+\" and \"+a.shape+\" and transposeA=\"+n+\" and transposeB=\"+r+\" must match.\");var f=o.shape.slice(0,-2).concat([u,l]),m=n?o.as3D(d,i,u):o.as3D(d,u,i),g=r?a.as3D(h,l,s):a.as3D(h,s,l);return ENV.engine.runKernel(function(e){return e.batchMatMul(m,g,n,r)},{$a:m,$b:g},function(e){return n||r?!n&&r?{$a:function(){return e.matMul(g.toFloat(),!1,!1)},$b:function(){return e.matMul(m.toFloat(),!0,!1)}}:n&&!r?{$a:function(){return g.toFloat().matMul(e,!1,!0)},$b:function(){return m.toFloat().matMul(e,!1,!1)}}:{$a:function(){return g.toFloat().matMul(e,!0,!0)},$b:function(){return e.matMul(m.toFloat(),!0,!0)}}:{$a:function(){return e.matMul(g.toFloat(),!1,!0)},$b:function(){return m.toFloat().matMul(e,!0,!1)}}}).reshape(f)}function outerProduct_(e,t){var n=convertToTensor(e,\"v1\",\"outerProduct\"),r=convertToTensor(t,\"v2\",\"outerProduct\");return assert(1===n.rank&&1===r.rank,\"Error in outerProduct: inputs must be rank 1, but got ranks \"+n.rank+\" and \"+r.rank+\".\"),n.as2D(-1,1).matMul(r.as2D(1,-1))}function dot_(e,t){var n=convertToTensor(e,\"t1\",\"dot\"),r=convertToTensor(t,\"t2\",\"dot\");assert(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),\"Error in dot: inputs must all be rank 1 or 2, but got ranks \"+n.rank+\" and \"+r.rank+\".\");var o=1===n.rank?n.size:n.shape[1],a=1===r.rank?r.size:r.shape[0];return assert(o===a,\"Error in dot: inner dimensions of inputs must match, but got \"+o+\" and \"+a+\".\"),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}var matMul=op({matMul_:matMul_}),dot=op({dot_:dot_}),outerProduct=op({outerProduct_:outerProduct_});function conv1d_(e,t,n,r,o,a,i){void 0===o&&(o=\"NWC\"),void 0===a&&(a=1);var s=convertToTensor(e,\"x\",\"conv1d\"),u=convertToTensor(t,\"filter\",\"conv1d\"),l=s,c=!1;2===s.rank&&(c=!0,l=s.as3D(1,s.shape[0],s.shape[1])),assert(3===l.rank,\"Error in conv1d: input must be rank 3, but got rank \"+l.rank+\".\"),assert(3===u.rank,\"Error in conv1d: filter must be rank 3, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(r),\"Error in conv1d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\"),assert(l.shape[2]===u.shape[1],\"Error in conv1d: depth of input (\"+l.shape[2]+\") must match input depth for filter \"+u.shape[1]+\".\"),assert(eitherStridesOrDilationsAreOne(n,a),\"Error in conv1D: Either stride or dilation must be 1. Got stride \"+n+\" and dilation '\"+a+\"'\"),assert(\"NWC\"===o,\"Error in conv1d: got dataFormat of \"+o+\" but only NWC is currently supported.\");var p=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),d=l.as4D(l.shape[0],1,l.shape[1],l.shape[2]),h=conv2d(d,p,[1,n],r,\"NHWC\",[1,a],i);return c?h.as2D(h.shape[2],h.shape[3]):h.as3D(h.shape[0],h.shape[2],h.shape[3])}function conv2d_(e,t,n,r,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"conv2d\"),u=convertToTensor(t,\"filter\",\"conv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in conv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in conv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(r),\"Error in conv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\"),assert(l.shape[3]===u.shape[2],\"Error in conv2d: depth of input (\"+l.shape[3]+\") must match input depth for filter \"+u.shape[2]+\".\"),assert(eitherStridesOrDilationsAreOne(n,a),\"Error in conv2D: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+a+\"'\"),assert(\"NHWC\"===o,\"Error in conv2d: got dataFormat of \"+o+\" but only NHWC is currently supported.\");var p,d=computeConv2DInfo(l.shape,u.shape,n,a,r,i);if(1===d.filterHeight&&1===d.filterWidth&&1===d.dilationHeight&&1===d.dilationWidth&&1===d.strideHeight&&1===d.strideWidth&&\"SAME\"===d.padInfo.type){var h=l.reshape([-1,d.inChannels]),f=u.reshape([d.inChannels,d.outChannels]);p=matMul(h,f).reshape(d.outShape)}else{p=ENV.engine.runKernel(function(e){return e.conv2d(l,u,d)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '\"+a+\"'\"),{x:function(){return conv2dDerInput_(l.shape,e,u,n,r)},$filter:function(){return conv2dDerFilter_(l,e,u.shape,n,r)}}})}return c?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}function conv2dDerInput_(e,t,n,r,o,a){assert(e.length===t.rank,\"Length of inShape (\"+e.length+\") and rank of dy (\"+t.rank+\") must match\");var i=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=[1,e[0],e[1],e[2]]);var l=i[3],c=s.shape[3];assert(4===i.length,\"Error in conv2dDerInput: inShape must be length 4, but got length \"+i.length+\".\"),assert(4===s.rank,\"Error in conv2dDerInput: dy must be rank 4, but got rank \"+s.rank),assert(4===n.rank,\"Error in conv2dDerInput: filter must be rank 4, but got rank \"+n.rank),assert(l===n.shape[2],\"Error in conv2dDerInput: depth of input (\"+l+\") must match input depth for filter \"+n.shape[2]+\".\"),assert(c===n.shape[3],\"Error in conv2dDerInput: depth of output (\"+c+\") must match output depth for filter \"+n.shape[3]+\".\"),null!=a&&assert(isInt(o),\"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var p=computeConv2DInfo(i,n.shape,r,1,o,a),d=ENV.engine.runKernel(function(e){return e.conv2dDerInput(s,n,p)},{dy4D:s});return u?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function conv2dDerFilter_(e,t,n,r,o,a){var i=e;3===e.rank&&(i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in conv2dDerFilter: input must be rank 4, but got shape \"+i.shape+\".\"),assert(4===s.rank,\"Error in conv2dDerFilter: dy must be rank 4, but got shape \"+s.shape+\".\"),assert(4===n.length,\"Error in conv2dDerFilter: filterShape must be length 4, but got \"+n+\".\"),assert(i.shape[3]===n[2],\"Error in conv2dDerFilter: depth of input \"+i.shape[3]+\") must match input depth in filter (\"+n[2]+\".\"),assert(s.shape[3]===n[3],\"Error in conv2dDerFilter: depth of dy (\"+s.shape[3]+\") must match output depth for filter (\"+n[3]+\").\"),null!=a&&assert(isInt(o),\"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode \"+a+\" but got pad \"+o+\".\");var u=computeConv2DInfo(i.shape,n,r,1,o,a);return ENV.engine.runKernel(function(e){return e.conv2dDerFilter(i,s,u)},{x4D:i,dy4D:s})}function conv2dTranspose_(e,t,n,r,o,a){return conv2dDerInput_(n,convertToTensor(e,\"x\",\"conv2dTranspose\"),convertToTensor(t,\"filter\",\"conv2dTranspose\"),r,o,a)}function depthwiseConv2d_(e,t,n,r,o,a,i){void 0===o&&(o=\"NHWC\"),void 0===a&&(a=[1,1]);var s=convertToTensor(e,\"x\",\"depthwiseConv2d\"),u=convertToTensor(t,\"filter\",\"depthwiseConv2d\"),l=s,c=!1;3===s.rank&&(c=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),assert(4===l.rank,\"Error in depthwiseConv2d: input must be rank 4, but got rank \"+l.rank+\".\"),assert(4===u.rank,\"Error in depthwiseConv2d: filter must be rank 4, but got rank \"+u.rank+\".\"),assert(l.shape[3]===u.shape[2],\"Error in depthwiseConv2d: number of input channels (\"+l.shape[3]+\") must match the inChannels dimension in filter \"+u.shape[2]+\".\"),null==a&&(a=[1,1]),assert(eitherStridesOrDilationsAreOne(n,a),\"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+a+\"'\"),null!=i&&assert(isInt(r),\"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\");var p=computeConv2DInfo(l.shape,u.shape,n,a,r,i,!0),d=ENV.engine.runKernel(function(e){return e.depthwiseConv2D(l,u,p)},{x:l,$filter:u},function(e){return assert(tupleValuesAreOne(a),\"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '\"+a+\"'\"),{x:function(){return depthwiseConv2dDerInput(l.shape,e,u,p)},$filter:function(){return depthwiseConv2dDerFilter(l,e,u.shape,p)}}});return c?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d}function separableConv2d_(e,t,n,r,o,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i=\"NHWC\");var s=convertToTensor(e,\"x\",\"separableConv2d\"),u=convertToTensor(t,\"depthwiseFilter\",\"separableConv2d\"),l=convertToTensor(n,\"pointwiseFilter\",\"separableConv2d\"),c=s,p=!1;if(3===s.rank&&(p=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),\"NCHW\"===i)throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");assert(4===c.rank,\"Error in separableConv2d: input must be rank 4, but got rank \"+c.rank+\".\"),assert(4===u.rank,\"Error in separableConv2d: depthwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(4===l.rank,\"Error in separableConv2d: pointwise filter must be rank 4, but got rank \"+u.rank+\".\"),assert(1===l.shape[0],\"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got \"+l.shape[0]+\".\"),assert(1===l.shape[1],\"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got \"+l.shape[1]+\".\");var d=u.shape[2],h=u.shape[3];assert(l.shape[2]===d*h,\"Error in separableConv2d: the third dimension of pointwise filter must be \"+d*h+\", but got \"+l.shape[2]+\".\");var f=depthwiseConv2d(c,u,r,o,i,a),m=conv2d(f,l,1,\"valid\",i);return p?m.as3D(m.shape[1],m.shape[2],m.shape[3]):m}function parseTupleParam$1(e){return\"number\"==typeof e?[e,e]:e}function tupleValuesAreOne(e){var t=parseTupleParam$1(e),n=t[0],r=t[1];return 1===n&&1===r}function eitherStridesOrDilationsAreOne(e,t){return tupleValuesAreOne(e)||tupleValuesAreOne(t)}function depthwiseConv2dDerInput(e,t,n,r){var o=t,a=!1;3===t.rank&&(a=!0,o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var i=ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(o,n,r)},{dy4D:o});return a?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}function depthwiseConv2dDerFilter(e,t,n,r){var o=e;3===e.rank&&(o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var a=t;return 3===a.rank&&(a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(o,a,r)},{x4D:o,dy4D:a})}var conv1d=op({conv1d_:conv1d_}),conv2d=op({conv2d_:conv2d_}),depthwiseConv2d=op({depthwiseConv2d_:depthwiseConv2d_}),separableConv2d=op({separableConv2d_:separableConv2d_}),conv2dTranspose=op({conv2dTranspose_:conv2dTranspose_});function reverse1d_(e){var t=convertToTensor(e,\"x\",\"reverse\");return assert(1===t.rank,\"Error in reverse1D: x must be rank 1 but got\\n             rank \"+t.rank+\".\"),reverse(t,0)}function reverse2d_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");return assert(2===n.rank,\"Error in reverse2D: x must be rank 2 but got\\n             rank \"+n.rank+\".\"),reverse(n,t)}function reverse3d_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");return assert(3===n.rank,\"Error in reverse3D: x must be rank 3 but got\\n             rank \"+n.rank+\".\"),reverse(n,t)}function reverse4d_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");return assert(4===n.rank,\"Error in reverse4D: x must be rank 4 but got\\n             rank \"+n.rank+\".\"),reverse(n,t)}function reverse_(e,t){var n=convertToTensor(e,\"x\",\"reverse\");if(0===n.rank)return n.clone();var r=parseAxisParam(t,n.shape);return ENV.engine.runKernel(function(e){return e.reverse(n,r)},{$x:n},function(e){return{$x:function(){return e.reverse(r)}}}).reshapeAs(n)}var reverse=op({reverse_:reverse_}),reverse1d=op({reverse1d_:reverse1d_}),reverse2d=op({reverse2d_:reverse2d_}),reverse3d=op({reverse3d_:reverse3d_}),reverse4d=op({reverse4d_:reverse4d_});function maxPool_(e,t,n,r,o){var a=convertToTensor(e,\"x\",\"maxPool\"),i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),assert(4===i.rank,\"Error in maxPool: input must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(r),\"Error in maxPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+r+\".\");var u=computePool2DInfo(i.shape,t,n,r,o),l=ENV.engine.runKernel(function(e,t){return t(e.maxPool(i,u))},{x:i},function(e,o){var a=o[0];return{x:function(){return maxPoolBackprop(e,i,a,t,n,r)}}});return s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}function avgPool_(e,t,n,r,o){var a=convertToTensor(e,\"x\",\"avgPool\");assert(\"float32\"===a.dtype,\"The input dtype to avgPool must be float32\");var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),assert(4===i.rank,\"Error in avgPool: x must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(r),\"Error in avgPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+r+\".\");var u=computePool2DInfo(i.shape,t,n,r),l=ENV.engine.runKernel(function(e){return e.avgPool(i,u)},{x:i},function(e){return{x:function(){return avgPoolBackprop(e,i,t,n,r)}}});return l=l.cast(a.dtype),s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}function maxPoolBackprop(e,t,n,r,o,a,i){var s=convertToTensor(e,\"dy\",\"maxPoolBackprop\"),u=convertToTensor(t,\"input\",\"maxPoolBackprop\"),l=convertToTensor(n,\"output\",\"maxPoolBackprop\");assert(u.rank===s.rank,\"Rank of input (\"+u.rank+\") does not match rank of dy (\"+s.rank+\")\"),assert(4===s.rank,\"Error in maxPoolBackprop: dy must be rank 4 but got rank \"+s.rank+\".\"),assert(4===u.rank,\"Error in maxPoolBackprop: input must be rank 4 but got rank \"+u.rank+\".\"),null!=i&&assert(isInt(a),\"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+a+\".\");var c=computePool2DInfo(u.shape,r,o,a,i);return ENV.engine.runKernel(function(e){return e.maxPoolBackprop(s,u,l,c)},{$dy:s,$input:u})}function avgPoolBackprop(e,t,n,r,o){var a=convertToTensor(e,\"dy\",\"avgPoolBackprop\"),i=convertToTensor(t,\"input\",\"avgPoolBackprop\");assert(i.rank===a.rank,\"Rank of input (\"+i.rank+\") does not match rank of dy (\"+a.rank+\")\");var s=i,u=a,l=!1;3===i.rank&&(l=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2]),u=a.as4D(1,a.shape[0],a.shape[1],a.shape[2])),assert(4===u.rank,\"Error in avgPoolBackprop: dy must be rank 4 but got rank \"+u.rank+\".\"),assert(4===s.rank,\"Error in avgPoolBackprop: input must be rank 4 but got rank \"+s.rank+\".\");var c=computePool2DInfo(s.shape,n,r,o),p=ENV.engine.runKernel(function(e){return e.avgPoolBackprop(u,s,c)},{dy4D:u,input4D:s});return l?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p}var maxPool=op({maxPool_:maxPool_}),avgPool=op({avgPool_:avgPool_});function slice1d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice1d\");return assert(1===r.rank,\"slice1d expects a rank-1 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,[t],[n])}function slice2d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice2d\");return assert(2===r.rank,\"slice1d expects a rank-2 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,t,n)}function slice3d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice3d\");return assert(3===r.rank,\"slice1d expects a rank-3 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,t,n)}function slice4d_(e,t,n){var r=convertToTensor(e,\"x\",\"slice4d\");return assert(4===r.rank,\"slice1d expects a rank-4 tensor, but got a rank-\"+r.rank+\" tensor\"),slice(r,t,n)}function slice_(e,t,n){var r,o,a=convertToTensor(e,\"x\",\"slice\");if(0===a.rank)throw new Error(\"Slicing scalar is not possible\");r=\"number\"==typeof t?[t].concat(new Array(a.rank-1).fill(0)):t.length<a.rank?t.concat(new Array(a.rank-t.length).fill(0)):t.slice(),o=(o=null==n?new Array(a.rank).fill(-1):\"number\"==typeof n?[n].concat(new Array(a.rank-1).fill(-1)):n.length<a.rank?n.concat(new Array(a.rank-n.length).fill(-1)):n).map(function(e,t){return e>=0?e:(assert(-1===e,\"Bad value in size\"),a.shape[t]-r[t])}),assertParamsValid(a,r,o);var i=a.shape;return ENV.engine.runKernel(function(e){return e.slice(a,r,o)},{$x:a},function(e){for(var t=[],n=0;n<e.rank;n++)t.push([r[n],i[n]-r[n]-o[n]]);return{$x:function(){return e.pad(t)}}})}var slice=op({slice_:slice_}),slice1d=op({slice1d_:slice1d_}),slice2d=op({slice2d_:slice2d_}),slice3d=op({slice3d_:slice3d_}),slice4d=op({slice4d_:slice4d_});function logSumExp_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"logSumExp\"),o=parseAxisParam(t,r.shape),a=r.max(o,!0),i=r.sub(a).exp().sum(o).log(),s=a.reshape(i.shape).add(i);if(n){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function sum_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"sum\");\"bool\"===r.dtype&&(r=r.toInt());var o=parseAxisParam(t,r.shape);return customGrad(function(e){var t=getAxesPermutation(o,e.rank),r=o,a=e;null!=t&&(a=e.transpose(t),r=getInnerMostAxes(r.length,e.rank));var i=ENV.engine.runKernel(function(e){return e.sum(a,r)},{permutedX:a});if(n){var s=expandShapeToKeepDim(i.shape,o);i=i.reshape(s)}return{value:i,gradFunc:function(t){var n=e.shape.slice();return o.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones$1(e.shape,\"float32\"))}}})(r)}function mean_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"mean\"),o=parseAxisParam(t,r.shape),a=sizeFromShape(computeOutAndReduceShapes(r.shape,o)[1]);return customGrad(function(e){var r=scalar(a);return{value:(r.dtype===e.dtype?e:e.cast(r.dtype)).div(r).sum(t,n),gradFunc:function(t){var n=e.shape.slice();return o.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones$1(e.shape,\"float32\")).div(r)}}})(r)}function gradForMinAndMax(e,t,n,r,o){var a=t[0];return a.rank<n.rank&&(a=a.reshape(expandShapeToKeepDim(a.shape,r))),e.rank<n.rank&&(e=e.reshape(expandShapeToKeepDim(e.shape,r))),{$x:function(){var t=e.mul(n.equal(a).cast(e.dtype));return null==o?t:t.transpose(o)}}}function min_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"min\"),o=r,a=parseAxisParam(t,r.shape),i=a,s=getAxesPermutation(i,r.rank);null!=s&&(r=r.transpose(s),i=getInnerMostAxes(i.length,r.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.min(r,i))},{$x:r},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(n){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function max_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"max\"),o=r,a=parseAxisParam(t,r.shape),i=a,s=getAxesPermutation(i,r.rank);null!=s&&(r=r.transpose(s),i=getInnerMostAxes(i.length,r.rank));var u=ENV.engine.runKernel(function(e,t){return t(e.max(r,i))},{$x:r},function(e,t){return gradForMinAndMax(e,t,o,a,s)});if(n){var l=expandShapeToKeepDim(u.shape,a);u=u.reshape(l)}return u}function argMin_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"argMin\");null==t&&(t=0);var r=parseAxisParam(t,n.shape),o=getAxesPermutation(r,n.rank);null!=o&&(n=n.transpose(o),r=getInnerMostAxes(r.length,n.rank));return ENV.engine.runKernel(function(e){return e.argMin(n,r[0])},{$x:n},function(e){return{$x:function(){return zerosLike(n)}}})}function argMax_(e,t){void 0===t&&(t=0);var n=convertToTensor(e,\"x\",\"argMax\");null==t&&(t=0);var r=parseAxisParam(t,n.shape),o=getAxesPermutation(r,n.rank);null!=o&&(n=n.transpose(o),r=getInnerMostAxes(r.length,n.rank));return ENV.engine.runKernel(function(e){return e.argMax(n,r[0])},{$x:n},function(e){return{$x:function(){return zerosLike(n)}}})}function all_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"all\",\"bool\");assert(\"bool\"===r.dtype,\"Error Tensor must be of type bool. Got: \"+r.dtype);var o=parseAxisParam(t,r.shape),a=o,i=getAxesPermutation(a,r.rank);null!=i&&(r=r.transpose(i),a=getInnerMostAxes(a.length,r.rank));var s=ENV.engine.runKernel(function(e){return e.all(r,a)},{$x:r});if(n){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function any_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=convertToTensor(e,\"x\",\"any\",\"bool\");assert(\"bool\"===r.dtype,\"Error Tensor must be of type bool. Got: \"+r.dtype);var o=parseAxisParam(t,r.shape),a=o,i=getAxesPermutation(a,r.rank);null!=i&&(r=r.transpose(i),a=getInnerMostAxes(a.length,r.rank));var s=ENV.engine.runKernel(function(e){return e.any(r,a)},{$x:r});if(n){var u=expandShapeToKeepDim(s.shape,o);return s.reshape(u)}return s}function moments_(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1);var r=parseAxisParam(t,(e=convertToTensor(e,\"x\",\"moments\")).shape),o=e.mean(r,n),a=o.shape;return n||(a=expandShapeToKeepDim(o.shape,r)),{mean:o,variance:e.toFloat().sub(o.reshape(a)).square().mean(r,n)}}var all=op({all_:all_}),any=op({any_:any_}),argMax=op({argMax_:argMax_}),argMin=op({argMin_:argMin_}),logSumExp=op({logSumExp_:logSumExp_}),max=op({max_:max_}),mean=op({mean_:mean_}),min=op({min_:min_}),moments=op({moments_:moments_}),sum=op({sum_:sum_});function notEqual_(e,t){var n=convertToTensor(e,\"a\",\"notEqual\"),r=convertToTensor(t,\"b\",\"notEqual\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.notEqual(n,r)},{$a:n,$b:r})}function notEqualStrict_(e,t){var n=convertToTensor(e,\"a\",\"notEqualStrict\"),r=convertToTensor(t,\"b\",\"notEqualStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in notEqualStrict: \"),n.notEqual(r)}function less_(e,t){var n=convertToTensor(e,\"a\",\"less\"),r=convertToTensor(t,\"b\",\"less\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.less(n,r)},{$a:n,$b:r})}function lessStrict_(e,t){var n=convertToTensor(e,\"a\",\"lessStrict\"),r=convertToTensor(t,\"b\",\"lessStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in lessStrict: \"),n.less(r)}function equal_(e,t){var n=convertToTensor(e,\"a\",\"equal\"),r=convertToTensor(t,\"b\",\"equal\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.equal(n,r)},{$a:n,$b:r})}function equalStrict_(e,t){var n=convertToTensor(e,\"a\",\"equalStrict\"),r=convertToTensor(t,\"b\",\"equalStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in equalStrict: \"),n.equal(r)}function lessEqual_(e,t){var n=convertToTensor(e,\"a\",\"lessEqual\"),r=convertToTensor(t,\"b\",\"lessEqual\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.lessEqual(n,r)},{$a:n,$b:r})}function lessEqualStrict_(e,t){var n=convertToTensor(e,\"a\",\"lessEqualStrict\"),r=convertToTensor(t,\"b\",\"lessEqualStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in lessEqualStrict: \"),n.lessEqual(r)}function greater_(e,t){var n=convertToTensor(e,\"a\",\"greater\"),r=convertToTensor(t,\"b\",\"greater\");return assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.greater(n,r)},{$a:n,$b:r})}function greaterStrict_(e,t){var n=convertToTensor(e,\"a\",\"greaterStrict\"),r=convertToTensor(t,\"b\",\"greaterStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in greaterStrict: \"),n.greater(r)}function greaterEqual_(e,t){var n=convertToTensor(e,\"a\",\"greaterEqual\"),r=convertToTensor(t,\"b\",\"greaterEqual\");assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.greaterEqual(n,r)},{$a:n,$b:r},function(e){return{$a:function(){return zerosLike(n)},$b:function(){return zerosLike(r)}}})}function greaterEqualStrict_(e,t){var n=convertToTensor(e,\"a\",\"greaterEqualStrict\"),r=convertToTensor(t,\"b\",\"greaterEqualStrict\");return assertShapesMatch(n.shape,r.shape,\"Error in greaterEqualStrict: \"),n.greaterEqual(r)}var equal=op({equal_:equal_}),equalStrict=op({equalStrict_:equalStrict_}),greater=op({greater_:greater_}),greaterEqual=op({greaterEqual_:greaterEqual_}),greaterEqualStrict=op({greaterEqualStrict_:greaterEqualStrict_}),greaterStrict=op({greaterStrict_:greaterStrict_}),less=op({less_:less_}),lessEqual=op({lessEqual_:lessEqual_}),lessEqualStrict=op({lessEqualStrict_:lessEqualStrict_}),lessStrict=op({lessStrict_:lessStrict_}),notEqual=op({notEqual_:notEqual_}),notEqualStrict=op({notEqualStrict_:notEqualStrict_});function add_(e,t){var n=convertToTensor(e,\"a\",\"add\"),r=convertToTensor(t,\"b\",\"add\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.add(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.reshape(n.shape)},$b:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.reshape(r.shape)}}})}function addN_(e){assert(Array.isArray(e),function(){return\"The argument passed to tf.addN() must be a list of tensors\"}),assert(e.length>=1,function(){return\"Must pass at least one tensor to tf.addN(), but got \"+e.length});var t=e.map(function(e,t){return convertToTensor(e,\"tensors\"+t,\"addN\")}),n=t[0];t.forEach(function(e){if(e.dtype!==n.dtype)throw new Error(\"All tensors passed to tf.addN() must have the same dtype\")}),t.forEach(function(e){if(!arraysEqual(e.shape,n.shape))throw new Error(\"All tensors passed to tf.addN() must have the same shape\")});var r=t;return ENV.engine.runKernel(function(e){return e.addN(t)},r,function(e){var n={};return t.forEach(function(t,r){n[r]=function(){return e.clone()}}),n})}function addStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in addStrict: \"),e.add(t)}function sub_(e,t){var n=convertToTensor(e,\"a\",\"sub\"),r=convertToTensor(t,\"b\",\"sub\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.subtract(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e,r=getReductionAxes(n.shape,o);return r.length>0&&(t=t.sum(r)),t.reshape(n.shape)},$b:function(){var t=e,n=getReductionAxes(r.shape,o);return n.length>0&&(t=t.sum(n)),t.neg().reshape(r.shape)}}})}function subStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in subStrict: \"),e.sub(t)}function pow_(e,t){var n=convertToTensor(e,\"base\",\"pow\"),r=convertToTensor(t,\"exp\",\"pow\"),o=assertAndGetBroadcastShape(n.shape,r.shape);e=n.cast(upcastType(n.dtype,r.dtype)),t=r.cast(upcastType(n.dtype,r.dtype));return ENV.engine.runKernel(function(e,t){return t(e.pow(n,r))},{$base:n,$exp:r},function(e,t){var a=t[0];return{$base:function(){var t=e.mul(r.toFloat().mul(a.div(n))),i=getReductionAxes(n.shape,o);return i.length>0&&(t=t.sum(i)),t.reshape(n.shape)},$exp:function(){var t=e.mul(a.mul(n.log()).toFloat()),i=getReductionAxes(r.shape,o);return i.length>0&&(t=t.sum(i)),t.reshape(r.shape)}}})}function powStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in powStrict: \"),e.pow(t)}function mul_(e,t){var n=convertToTensor(e,\"a\",\"mul\"),r=convertToTensor(t,\"b\",\"mul\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.multiply(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e.mul(r.toFloat()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t},$b:function(){var t=e.mul(n.toFloat()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t}}})}function mulStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in multiplyStrict: \"),e.mul(t)}function div_(e,t){var n,r=convertToTensor(e,\"a\",\"div\"),o=convertToTensor(t,\"b\",\"div\");if(assertTypesMatch(r,o),\"int32\"===r.dtype&&\"int32\"===o.dtype)return floorDiv(r,o);n=function(e){return e.realDivide(r,o)};var a=assertAndGetBroadcastShape(r.shape,o.shape);return ENV.engine.runKernel(n,{$a:r,$b:o},function(e){return{$a:function(){var t=e.div(o.toFloat()),n=getReductionAxes(r.shape,a);return n.length>0?t.sum(n).reshape(r.shape):t},$b:function(){var t=e.mul(r.toFloat()),n=getReductionAxes(o.shape,a);n.length>0&&(t=t.sum(n).reshape(o.shape));var i=o.square();return t.div(i.toFloat()).neg()}}})}function floorDiv_(e,t){var n=convertToTensor(e,\"a\",\"floorDiv\"),r=convertToTensor(t,\"b\",\"floorDiv\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.floorDiv(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=e.div(r.toFloat()),a=getReductionAxes(n.shape,o);return a.length>0?t.sum(a).reshape(n.shape):t},$b:function(){var t=e.mul(n.toFloat()),a=getReductionAxes(r.shape,o);a.length>0&&(t=t.sum(a).reshape(r.shape));var i=r.square();return t.div(i.toFloat()).neg()}}})}function divStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in divideStrict: \"),e.div(t)}function mod_(e,t){var n=convertToTensor(e,\"a\",\"mod\"),r=convertToTensor(t,\"b\",\"mod\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.mod(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=getReductionAxes(n.shape,o);return t.length>0?e.sum(t).reshape(n.shape):e},$b:function(){var t=e.mul(n.div(r).floor().neg()),a=getReductionAxes(r.shape,o);return a.length>0?t.sum(a).reshape(r.shape):t}}})}function modStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in modStrict: \"),e.mod(t)}function minimum_(e,t){var n=convertToTensor(e,\"a\",\"minimum\"),r=convertToTensor(t,\"b\",\"minimum\");assertTypesMatch(n,r),\"bool\"===n.dtype&&(n=n.toInt()),\"bool\"===r.dtype&&(r=r.toInt()),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.minimum(n,r)},{$a:n,$b:r},function(e){return{$a:function(){return e.mul(n.lessEqual(r).toFloat())},$b:function(){return e.mul(n.greater(r).toFloat())}}})}function minimumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in minimumStrict: \"),e.minimum(t)}function maximum_(e,t){var n=convertToTensor(e,\"a\",\"maximum\"),r=convertToTensor(t,\"b\",\"maximum\");assertTypesMatch(n,r),\"bool\"===n.dtype&&(n=n.toInt()),\"bool\"===r.dtype&&(r=r.toInt()),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.maximum(n,r)},{$a:n,$b:r},function(e){return{$a:function(){return e.mul(n.greaterEqual(r).toFloat())},$b:function(){return e.mul(n.less(r).toFloat())}}})}function maximumStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in maximumStrict: \"),e.maximum(t)}function squaredDifference_(e,t){var n=convertToTensor(e,\"a\",\"squaredDifference\"),r=convertToTensor(t,\"b\",\"squaredDifference\");assertTypesMatch(n,r),assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.squaredDifference(n,r)},{$a:n,$b:r},function(e){var t=scalar(2);return{$a:function(){return e.mul(n.sub(r).mul(t))},$b:function(){return e.mul(r.sub(n).mul(t))}}})}function squaredDifferenceStrict_(e,t){return assertShapesMatch(e.shape,t.shape,\"Error in squaredDifferenceStrict: \"),e.squaredDifference(t)}function atan2_(e,t){var n=convertToTensor(e,\"a\",\"atan2\"),r=convertToTensor(t,\"b\",\"atan2\");assertTypesMatch(n,r);var o=assertAndGetBroadcastShape(n.shape,r.shape);return ENV.engine.runKernel(function(e){return e.atan2(n,r)},{$a:n,$b:r},function(e){return{$a:function(){var t=add(n.square(),r.square()),a=e.mul(r.div(t)),i=getReductionAxes(n.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(n.shape)},$b:function(){var t=add(n.square(),r.square()),a=neg(e.mul(n.div(t))),i=getReductionAxes(r.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(r.shape)}}})}var add=op({add_:add_}),addN=op({addN_:addN_}),addStrict=op({addStrict_:addStrict_}),atan2=op({atan2_:atan2_}),div=op({div_:div_}),divStrict=op({divStrict_:divStrict_}),floorDiv=op({floorDiv_:floorDiv_}),maximum=op({maximum_:maximum_}),maximumStrict=op({maximumStrict_:maximumStrict_}),minimum=op({minimum_:minimum_}),minimumStrict=op({minimumStrict_:minimumStrict_}),mod=op({mod_:mod_}),modStrict=op({modStrict_:modStrict_}),mul=op({mul_:mul_}),mulStrict=op({mulStrict_:mulStrict_}),pow=op({pow_:pow_}),powStrict=op({powStrict_:powStrict_}),squaredDifference=op({squaredDifference_:squaredDifference_}),squaredDifferenceStrict=op({squaredDifferenceStrict_:squaredDifferenceStrict_}),sub=op({sub_:sub_}),subStrict=op({subStrict_:subStrict_});function logicalNot_(e){var t=convertToTensor(e,\"x\",\"logicalNot\",\"bool\");return assert(\"bool\"===t.dtype,\"Error Array must be of type bool.\"),ENV.engine.runKernel(function(e){return e.logicalNot(t)},{$x:t})}function logicalAnd_(e,t){var n=convertToTensor(e,\"a\",\"logicalAnd\",\"bool\"),r=convertToTensor(t,\"b\",\"logicalAnd\",\"bool\");return assert(\"bool\"===n.dtype&&\"bool\"===r.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.logicalAnd(n,r)},{$a:n,$b:r})}function logicalOr_(e,t){var n=convertToTensor(e,\"a\",\"logicalOr\",\"bool\"),r=convertToTensor(t,\"b\",\"logicalOr\",\"bool\");return assert(\"bool\"===n.dtype&&\"bool\"===r.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(n.shape,r.shape),ENV.engine.runKernel(function(e){return e.logicalOr(n,r)},{$a:n,$b:r})}function logicalXor_(e,t){var n=convertToTensor(e,\"a\",\"logicalXor\",\"bool\"),r=convertToTensor(t,\"b\",\"logicalXor\",\"bool\");return assert(\"bool\"===n.dtype&&\"bool\"===r.dtype,\"Error Array must be of type bool.\"),assertAndGetBroadcastShape(n.shape,r.shape),logicalOr(e,t).logicalAnd(logicalAnd(e,t).logicalNot())}function where_(e,t,n){var r=convertToTensor(t,\"a\",\"where\"),o=convertToTensor(n,\"b\",\"where\"),a=convertToTensor(e,\"condition\",\"where\",\"bool\");assert(\"bool\"===a.dtype,\"Error Condition must be of type bool.\"),assertShapesMatch(r.shape,o.shape,\"Error in where: \"),1===a.rank?assert(a.shape[0]===r.shape[0],\"The first dimension of `a` must match the size of `condition`.\"):assertShapesMatch(a.shape,o.shape,\"Error in where: \");return ENV.engine.runKernel(function(e){return e.select(a,r,o)},{$condition:a,$a:r,$b:o},function(e){return{$condition:function(){return zerosLike(a)},$a:function(){return e.mul(a.cast(r.dtype))},$b:function(){return e.mul(a.logicalNot().cast(o.dtype))}}})}function whereAsync_(e){return __awaiter(this,void 0,void 0,function(){var t,n,r;return __generator(this,function(o){switch(o.label){case 0:return assert(\"bool\"===(t=convertToTensor(e,\"condition\",\"where\",\"bool\")).dtype,\"Condition must be of type bool.\"),[4,t.data()];case 1:return n=o.sent(),r=whereImpl(t.shape,n),e!==t&&t.dispose(),[2,r]}})})}var logicalAnd=op({logicalAnd_:logicalAnd_}),logicalNot=op({logicalNot_:logicalNot_}),logicalOr=op({logicalOr_:logicalOr_}),logicalXor=op({logicalXor_:logicalXor_}),where=op({where_:where_}),whereAsync=whereAsync_;function relu_(e){var t=convertToTensor(e,\"x\",\"relu\");if(\"bool\"===t.dtype)return t.toInt();return ENV.engine.runKernel(function(e){return e.relu(t)},{$x:t},function(e){var n=t.step();return{$x:function(){return e.mulStrict(n.toFloat())}}})}function elu_(e){var t=convertToTensor(e,\"x\",\"elu\");return ENV.engine.runKernel(function(e,n){return n(e.elu(t))},{$x:t},function(e,t){var n=t[0];return{$x:function(){return ENV.engine.runKernel(function(t){return t.eluDer(e,n)},{dy:e,y:n})}}})}function selu_(e){var t=convertToTensor(e,\"x\",\"selu\");return ENV.engine.runKernel(function(e){return e.selu(t)},{$x:t},function(e){return{$x:function(){var n=t.greater(scalar(0)),r=scalar(SELU_SCALEALPHA),o=scalar(SELU_SCALE),a=e.mul(o),i=e.mul(r).mul(t.toFloat().exp());return where(n,a,i)}}})}function leakyRelu_(e,t){void 0===t&&(t=.2);var n=convertToTensor(e,\"x\",\"leakyRelu\");return maximum(scalar(t).mul(n),n)}function prelu_(e,t){var n=convertToTensor(e,\"x\",\"prelu\"),r=convertToTensor(t,\"alpha\",\"prelu\"),o=scalar(0);return maximum(o,n).add(r.mul(minimum(o,n)))}var elu=op({elu_:elu_}),leakyRelu=op({leakyRelu_:leakyRelu_}),prelu=op({prelu_:prelu_}),relu=op({relu_:relu_}),selu=op({selu_:selu_});function transpose_(e,t){var n=convertToTensor(e,\"x\",\"transpose\");if(null==t&&(t=n.shape.map(function(e,t){return t}).reverse()),assert(n.rank===t.length,\"Error in transpose: rank of input \"+n.rank+\" must match length of perm \"+t+\".\"),t.forEach(function(e){assert(e>=0&&e<n.rank,\"All entries in 'perm' must be between 0 and \"+(n.rank-1)+\" but got \"+t)}),n.rank<=1)return n.clone();return ENV.engine.runKernel(function(e){return e.transpose(n,t)},{$x:n},function(e){var n=getUndoAxesPermutation(t);return{$x:function(){return e.transpose(n)}}})}var transpose=op({transpose_:transpose_});function localResponseNormalization_(e,t,n,r,o){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===o&&(o=.5);var a=convertToTensor(e,\"x\",\"localResponseNormalization\");assert(4===a.rank||3===a.rank,\"Error in localResponseNormalization: x must be rank 3 or 4 but got\\n               rank \"+a.rank+\".\"),assert(isInt(t),\"Error in localResponseNormalization: depthRadius must be an integer\\n                     but got depthRadius \"+t+\".\");var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=ENV.engine.runKernel(function(e,a){return a(e.localResponseNormalization4D(i,t,n,r,o))},{x4D:i},function(e,a){var s=a[0];return{x4D:function(){return ENV.engine.runKernel(function(a){return a.LRNGrad(e,i,s,t,n,r,o)},{})}}});return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}var localResponseNormalization=op({localResponseNormalization_:localResponseNormalization_});function norm_(e,t,n,r){void 0===t&&(t=\"euclidean\"),void 0===n&&(n=null),void 0===r&&(r=!1);var o=normImpl(e=convertToTensor(e,\"x\",\"norm\"),t,n),a=o.shape;if(r){var i=parseAxisParam(n,e.shape);a=expandShapeToKeepDim(o.shape,i)}return o.reshape(a)}function normImpl(e,t,n){if(void 0===n&&(n=null),0===e.rank)return e.abs();if(1!==e.rank&&null===n)return normImpl(e.reshape([-1]),t,n);if(1===e.rank||\"number\"==typeof n||n instanceof Array&&1===n.length){if(1===t)return e.abs().sum(n);if(t===1/0)return e.abs().max(n);if(t===-1/0)return e.abs().min(n);if(\"euclidean\"===t||2===t)return e.abs().pow(scalar(2,\"int32\")).sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}if(n instanceof Array&&2===n.length){if(1===t)return e.abs().sum(n[0]).max(n[1]-1);if(t===1/0)return e.abs().sum(n[1]).max(n[0]);if(t===-1/0)return e.abs().sum(n[1]).min(n[0]);if(\"fro\"===t||\"euclidean\"===t)return e.square().sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}throw new Error(\"Error in norm: invalid axis: \"+n)}var norm=op({norm_:norm_});function unsortedSegmentSum_(e,t,n){var r=convertToTensor(e,\"x\",\"unsortedSegmentSum\"),o=convertToTensor(t,\"segmentIds\",\"unsortedSegmentSum\",\"int32\");assert(\"int32\"===o.dtype,\"segmentIds must be of dtype `int32`\"),assert(isInt(n),\"numSegments must be of dtype int\");return ENV.engine.runKernel(function(e){return e.unsortedSegmentSum(r,o,n)},{$x:r},function(e){return{$x:function(){return gatherDropNegatives(e,o)}}})}function gather_(e,t,n){void 0===n&&(n=0);var r=convertToTensor(e,\"x\",\"gather\"),o=convertToTensor(t,\"indices\",\"gather\",\"int32\");assert(\"int32\"===o.dtype,\"Indices must be of dtype `int32`\"),n=parseAxisParam(n,r.shape)[0];return ENV.engine.runKernel(function(e){return e.gather(r,o,n)},{$x:r},function(e){return{$x:function(){if(0===n)return unsortedSegmentSum(e,o,r.shape[n]);var t=r.shape,a=o.size,i=t.slice(0,n),s=i.length,u=t.slice(n,t.length).slice(1),l=u.length,c=arrayRange(0,s),p=arrayRange(s+1,s+1+l),d=arrayConcat([i,[a],u]),h=e.reshape(d),f=o.reshape([a]),m=arrayConcat([[s],c,p]),g=h.transpose(m),v=unsortedSegmentSum(g,f,r.shape[n]),x=getUndoAxesPermutation(m);return v=v.transpose(x)}}})}function arrayRange(e,t){for(var n=[],r=e;r<t;++r)n.push(r);return n}function arrayConcat(e){for(var t=[],n=0;n<e.length;++n)for(var r=0;r<e[n].length;++r)t.push(e[n][r]);return t}function gatherDropNegatives(e,t){for(var n=maximum(t,zerosLike(t)),r=gather(e,n),o=greaterEqual(t,scalar(0,\"int32\")),a=r.rank-o.rank,i=0;i<a;++i)o=expandDims(o,i+1);o=logicalAnd(o,ones$1(r.shape,\"bool\"));var s=zerosLike(r);return where(o,r,s)}var gather=op({gather_:gather_}),unsortedSegmentSum=op({unsortedSegmentSum_:unsortedSegmentSum_});function multiRNNCell_(e,t,n,r){for(var o=convertToTensor(t,\"data\",\"multiRNNCell\"),a=convertToTensorArray(n,\"c\",\"multiRNNCell\"),i=convertToTensorArray(r,\"h\",\"multiRNNCell\"),s=o,u=[],l=0;l<e.length;l++){var c=e[l](s,a[l],i[l]);u.push(c[0]),u.push(c[1]),s=c[1]}var p=[],d=[];for(l=0;l<u.length;l+=2)p.push(u[l]),d.push(u[l+1]);return[p,d]}function basicLSTMCell_(e,t,n,r,o,a){var i=convertToTensor(e,\"forgetBias\",\"basicLSTMCell\"),s=convertToTensor(t,\"lstmKernel\",\"basicLSTMCell\"),u=convertToTensor(n,\"lstmBias\",\"basicLSTMCell\"),l=convertToTensor(r,\"data\",\"basicLSTMCell\"),c=convertToTensor(o,\"c\",\"basicLSTMCell\"),p=convertToTensor(a,\"h\",\"basicLSTMCell\"),d=l.concat(p,1).matMul(s).add(u),h=d.shape[0],f=d.shape[1]/4,m=[h,f],g=d.slice([0,0],m),v=d.slice([0,f],m),x=d.slice([0,2*f],m),y=d.slice([0,3*f],m),T=g.sigmoid().mulStrict(v.tanh()).addStrict(c.mulStrict(i.add(x).sigmoid()));return[T,T.tanh().mulStrict(y.sigmoid())]}var basicLSTMCell=op({basicLSTMCell_:basicLSTMCell_}),multiRNNCell=op({multiRNNCell_:multiRNNCell_});function movingAverage_(e,t,n,r,o){void 0===o&&(o=!0);var a=convertToTensor(e,\"v\",\"movingAverage\"),i=convertToTensor(t,\"x\",\"movingAverage\"),s=convertToTensor(n,\"decay\",\"movingAverage\");assertTypesMatch(a,i),assert(arraysEqual(a.shape,i.shape),\"Shape mismatch in v and x\");var u=scalar(1),l=u.sub(s),c=i.sub(a).mul(l);if(o){assert(null!=r,\"When using zeroDebias: true, step is required.\");var p=convertToTensor(r,\"step\",\"movingAverage\");c=c.div(u.sub(pow(s,p)))}return a.add(c)}var movingAverage=op({movingAverage_:movingAverage_});function stridedSlice_(e,t,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),0!==i)throw new Error(\"ellipsis mask is not yet supported\");if(0!==s)throw new Error(\"new axis mask is not yet supported\");var l=convertToTensor(e,\"x\",\"stridedSlice\");return ENV.engine.runKernel(function(e){return e.stridedSlice(l,t,n,r,o,a,i,s,u)},{$x:l})}var stridedSlice=op({stridedSlice_:stridedSlice_});function topk_(e,t,n){void 0===t&&(t=1),void 0===n&&(n=!0);var r=convertToTensor(e,\"x\",\"topk\");if(0===r.rank)throw new Error(\"topk() expects the input to be of rank 1 or higher\");var o=r.shape[r.shape.length-1];if(t>o)throw new Error(\"'k' passed to topk() must be <= the last dimension (\"+o+\") but got \"+t);var a=ENV.engine.runKernel(function(e){return e.topk(r,t,n)},{$x:r});return{values:a[0],indices:a[1]}}var Reduction,topk=op({topk_:topk_});function computeWeightedLoss_(e,t,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS);var r=convertToTensor(e,\"losses\",\"computeWeightedLoss\"),o=null;null!=t&&(o=convertToTensor(t,\"weights\",\"computeWeightedLoss\"));var a=null==o?r:r.mul(o);if(n===Reduction.NONE)return a;if(n===Reduction.SUM)return a.sum();if(n===Reduction.MEAN){if(null==o)return a.mean();var i=sizeFromShape(r.shape)/sizeFromShape(o.shape),s=a.sum().div(o.sum());return i>1?s.div(scalar(i)):s}if(n===Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==o)return a.sum().div(scalar(r.size));var u=o.mul(ones$1(r.shape)).notEqual(scalar(0)).sum().toFloat();return a.sum().div(u)}throw Error(\"Unknown reduction: \"+n)}function absoluteDifference_(e,t,n,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"absoluteDifference\"),a=convertToTensor(t,\"predictions\",\"absoluteDifference\"),i=null;null!=n&&(i=convertToTensor(n,\"weights\",\"absoluteDifference\")),assertShapesMatch(o.shape,a.shape,\"Error in absoluteDifference: \");var s=o.sub(a).abs();return computeWeightedLoss(s,i,r)}function meanSquaredError_(e,t,n,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"meanSquaredError\"),a=convertToTensor(t,\"predictions\",\"meanSquaredError\"),i=null;null!=n&&(i=convertToTensor(n,\"weights\",\"meanSquaredError\")),assertShapesMatch(o.shape,a.shape,\"Error in meanSquaredError: \");var s=o.squaredDifference(a);return computeWeightedLoss(s,i,r)}function cosineDistance_(e,t,n,r,o){void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"cosineDistance\"),i=convertToTensor(t,\"predictions\",\"cosineDistance\"),s=null;null!=r&&(s=convertToTensor(r,\"weights\",\"cosineDistance\")),assertShapesMatch(a.shape,i.shape,\"Error in cosineDistance: \");var u=scalar(1).sub(a.mul(i).sum(n,!0));return computeWeightedLoss(u,s,o)}function hingeLoss_(e,t,n,r){void 0===r&&(r=Reduction.SUM_BY_NONZERO_WEIGHTS);var o=convertToTensor(e,\"labels\",\"hingeLoss\"),a=convertToTensor(t,\"predictions\",\"hingeLoss\"),i=null;null!=n&&(i=convertToTensor(n,\"weights\",\"hingeLoss\")),assertShapesMatch(o.shape,a.shape,\"Error in hingeLoss: \");var s=scalar(1);o=scalar(2).mul(o).sub(s);var u=s.sub(o.mul(a)).relu();return computeWeightedLoss(u,i,r)}function logLoss_(e,t,n,r,o){void 0===r&&(r=1e-7),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"logLoss\"),i=convertToTensor(t,\"predictions\",\"logLoss\"),s=null;null!=n&&(s=convertToTensor(n,\"weights\",\"logLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in logLoss: \");var u=scalar(1),l=scalar(r),c=a.mul(i.add(l).log()).neg().sub(u.sub(a).mul(u.sub(i).add(l).log()));return computeWeightedLoss(c,s,o)}function sigmoidCrossEntropyWithLogits_(e,t){var n=convertToTensor(e,\"labels\",\"sigmoidCrossEntropyWithLogits\"),r=convertToTensor(t,\"logits\",\"sigmoidCrossEntropyWithLogits\");assertShapesMatch(n.shape,r.shape,\"Error in sigmoidCrossEntropyWithLogits: \");var o=r.relu(),a=r.mul(n),i=r.abs().neg().exp().log1p();return o.sub(a).add(i)}function sigmoidCrossEntropy_(e,t,n,r,o){void 0===r&&(r=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"multiClassLabels\",\"sigmoidCrossEntropy\"),i=convertToTensor(t,\"logits\",\"sigmoidCrossEntropy\"),s=null;if(null!=n&&(s=convertToTensor(n,\"weights\",\"sigmoidCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in sigmoidCrossEntropy: \"),r>0){var u=scalar(r),l=scalar(1),c=scalar(.5);a=a.mul(l.sub(u)).add(c.mul(u))}var p=sigmoidCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}function huberLoss_(e,t,n,r,o){void 0===r&&(r=1),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"labels\",\"huberLoss\"),i=convertToTensor(t,\"predictions\",\"huberLoss\"),s=null;null!=n&&(s=convertToTensor(n,\"weights\",\"huberLoss\")),assertShapesMatch(a.shape,i.shape,\"Error in huberLoss: \");var u=scalar(r),l=i.sub(a).abs(),c=minimum(l,u),p=l.sub(c),d=scalar(.5).mul(c.square()).add(u.mul(p));return computeWeightedLoss(d,s,o)}function softmaxCrossEntropyWithLogits_(e,t,n){if(void 0===n&&(n=-1),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error(\"Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank \"+t.rank+\" and dim was \"+n);return customGrad(function(e,t){var r=t.logSumExp([n],!0),o=t.toFloat().sub(r);return{value:o.mul(e).neg().sum([n]),gradFunc:function(t){var r=expandShapeToKeepDim(t.shape,[n]);return[t.reshape(r).mul(e.toFloat().sub(o.exp())),t.reshape(r).mul(o.exp().sub(e.toFloat()))]}}})(e,t)}function softmaxCrossEntropy_(e,t,n,r,o){void 0===r&&(r=0),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS);var a=convertToTensor(e,\"onehotLabels\",\"softmaxCrossEntropy\"),i=convertToTensor(t,\"logits\",\"softmaxCrossEntropy\"),s=null;if(null!=n&&(s=convertToTensor(n,\"weights\",\"softmaxCrossEntropy\")),assertShapesMatch(a.shape,i.shape,\"Error in softmaxCrossEntropy: \"),r>0){var u=scalar(r),l=scalar(1),c=scalar(a.shape[1]);a=a.mul(l.sub(u)).add(u.div(c))}var p=softmaxCrossEntropyWithLogits_(a,i);return computeWeightedLoss(p,s,o)}!function(e){e[e.NONE=0]=\"NONE\",e[e.MEAN=1]=\"MEAN\",e[e.SUM=2]=\"SUM\",e[e.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"}(Reduction||(Reduction={}));var absoluteDifference=op({absoluteDifference_:absoluteDifference_}),computeWeightedLoss=op({computeWeightedLoss_:computeWeightedLoss_}),cosineDistance=op({cosineDistance_:cosineDistance_}),hingeLoss=op({hingeLoss_:hingeLoss_}),huberLoss=op({huberLoss_:huberLoss_}),logLoss=op({logLoss_:logLoss_}),meanSquaredError=op({meanSquaredError_:meanSquaredError_}),sigmoidCrossEntropy=op({sigmoidCrossEntropy_:sigmoidCrossEntropy_}),softmaxCrossEntropy=op({softmaxCrossEntropy_:softmaxCrossEntropy_}),loss_ops=Object.freeze({get Reduction(){return Reduction},absoluteDifference:absoluteDifference,computeWeightedLoss:computeWeightedLoss,cosineDistance:cosineDistance,hingeLoss:hingeLoss,huberLoss:huberLoss,logLoss:logLoss,meanSquaredError:meanSquaredError,sigmoidCrossEntropy:sigmoidCrossEntropy,softmaxCrossEntropy:softmaxCrossEntropy});function gramSchmidt_(e){var t;if(Array.isArray(e)){t=!1,assert(null!=e&&e.length>0,\"Gram-Schmidt process: input must not be null, undefined, or empty\");for(var n=e[0].shape[0],r=1;r<e.length;++r)assert(e[r].shape[0]===n,\"Gram-Schmidt: Non-unique lengths found in the input vectors: (\"+e[r].shape[0]+\" vs. \"+n+\")\")}else t=!0,e=split$1(e,e.shape[0],0).map(function(e){return squeeze(e,[0])});assert(e.length<=e[0].shape[0],\"Gram-Schmidt: Number of vectors (\"+e.length+\") exceeds number of dimensions (\"+e[0].shape[0]+\").\");var o=[],a=e,i=function(e){o.push(ENV.engine.tidy(function(){var t=a[e];if(e>0)for(var n=0;n<e;++n){var r=sum(o[n].mulStrict(t)).mul(o[n]);t=t.sub(r)}return t.div(norm(t,\"euclidean\"))}))};for(r=0;r<e.length;++r)i(r);return t?stack(o,0):o}function qr_(e,t){if(void 0===t&&(t=!1),e.rank<2)throw new Error(\"qr() requires input tensor to have a rank >= 2, but got rank \"+e.rank);if(2===e.rank)return qr2d(e,t);var n=e.shape.slice(0,e.shape.length-2).reduce(function(e,t){return e*t}),r=[],o=[];return unstack(e.reshape([n,e.shape[e.shape.length-2],e.shape[e.shape.length-1]]),0).forEach(function(e){var n=qr2d(e,t),a=n[0],i=n[1];r.push(a),o.push(i)}),[stack(r,0).reshape(e.shape),stack(o,0).reshape(e.shape)]}function qr2d(e,t){return void 0===t&&(t=!1),ENV.engine.tidy(function(){if(2!==e.shape.length)throw new Error(\"qr2d() requires a 2D Tensor, but got a \"+e.shape.length+\"D Tensor.\");for(var n=e.shape[0],r=e.shape[1],o=eye(n),a=e.clone(),i=tensor2d([[1]],[1,1]),s=i.clone(),u=n>=r?r:n,l=function(e){var t,u=a,l=s,c=o;t=ENV.engine.tidy(function(){var t=a.slice([e,e],[n-e,1]),u=t.norm(),l=a.slice([e,e],[1,1]),c=l.sign().neg(),p=l.sub(c.mul(u)),d=t.div(p);s=1===d.shape[0]?i.clone():i.concat(d.slice([1,0],[d.shape[0]-1,d.shape[1]]),0);var h=c.matMul(p).div(u).neg(),f=a.slice([e,0],[n-e,r]),m=h.mul(s);a=0===e?f.sub(m.matMul(s.transpose().matMul(f))):a.slice([0,0],[e,r]).concat(f.sub(m.matMul(s.transpose().matMul(f))),0);var g=o.slice([0,e],[n,o.shape[1]-e]);return o=0===e?g.sub(g.matMul(s).matMul(m.transpose())):o.slice([0,0],[n,e]).concat(g.sub(g.matMul(s).matMul(m.transpose())),1),[s,a,o]}),s=t[0],a=t[1],o=t[2],dispose([u,l,c])},c=0;c<u;++c)l(c);return!t&&n>r&&(o=o.slice([0,0],[n,r]),a=a.slice([0,0],[r,r])),[o,a]})}var gramSchmidt=op({gramSchmidt_:gramSchmidt_}),qr=op({qr_:qr_}),linalg_ops=Object.freeze({gramSchmidt:gramSchmidt,qr:qr});function resizeBilinear_(e,t,n){void 0===n&&(n=!1);var r=convertToTensor(e,\"images\",\"resizeBilinear\");assert(3===r.rank||4===r.rank,\"Error in resizeBilinear: x must be rank 3 or 4, but got rank \"+r.rank+\".\"),assert(2===t.length,\"Error in resizeBilinear: new shape must 2D, but got shape \"+t+\".\");var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeBilinear(o,i,s,n)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeBilinearBackprop(e,o,n)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function resizeNearestNeighbor_(e,t,n){void 0===n&&(n=!1);var r=convertToTensor(e,\"images\",\"resizeNearestNeighbor\");assert(3===r.rank||4===r.rank,\"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank \"+r.rank+\".\"),assert(2===t.length,\"Error in resizeNearestNeighbor: new shape must 2D, but got shape \"+t+\".\"),assert(\"float32\"===r.dtype||\"int32\"===r.dtype,\"`images` must have `int32` or `float32` as dtype\");var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=t[0],s=t[1],u=ENV.engine.runKernel(function(e,t){return e.resizeNearestNeighbor(o,i,s,n)},{batchImages:o},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeNearestNeighborBackprop(e,o,n)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}function nonMaxSuppression_(e,t,n,r,o){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=convertToTensor(e,\"boxes\",\"nonMaxSuppression\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppression\"),s=nonMaxSuppSanityCheck(a,i,n,r,o);return n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold,ENV.engine.runKernel(function(e){return e.nonMaxSuppression(a,i,n,r,o)},{$boxes:a})}function nonMaxSuppressionAsync_(e,t,n,r,o){return void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),__awaiter(this,void 0,void 0,function(){var a,i,s,u,l,c;return __generator(this,function(p){switch(p.label){case 0:return a=convertToTensor(e,\"boxes\",\"nonMaxSuppressionAsync\"),i=convertToTensor(t,\"scores\",\"nonMaxSuppressionAsync\"),s=nonMaxSuppSanityCheck(a,i,n,r,o),n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold,[4,a.data()];case 1:return u=p.sent(),[4,i.data()];case 2:return l=p.sent(),c=nonMaxSuppressionImpl(u,l,n,r,o),a!==e&&a.dispose(),i!==t&&i.dispose(),[2,c]}})})}function nonMaxSuppSanityCheck(e,t,n,r,o){null==r&&(r=.5),null==o&&(o=Number.NEGATIVE_INFINITY);var a=e.shape[0];return n=Math.min(n,a),assert(0<=r&&r<=1,\"iouThreshold must be in [0, 1], but was '\"+r+\"'\"),assert(2===e.rank,\"boxes must be a 2D tensor, but was of rank '\"+e.rank+\"'\"),assert(4===e.shape[1],\"boxes must have 4 columns, but 2nd dimension was \"+e.shape[1]),assert(1===t.rank,\"scores must be a 1D tensor\"),assert(t.shape[0]===a,\"scores has incompatible shape with boxes. Expected \"+a+\", but was \"+t.shape[0]),{maxOutputSize:n,iouThreshold:r,scoreThreshold:o}}function cropAndResize_(e,t,n,r,o,a){var i=convertToTensor(e,\"image\",\"cropAndResize\",\"float32\"),s=convertToTensor(t,\"boxes\",\"cropAndResize\",\"float32\"),u=convertToTensor(n,\"boxInd\",\"cropAndResize\",\"int32\");o=o||\"bilinear\",a=a||0;var l=s.shape[0];assert(4===i.rank,\"Error in cropAndResize: image must be rank 4,but got rank \"+i.rank+\".\"),assert(2===s.rank&&4===s.shape[1],\"Error in cropAndResize: boxes must be have size [\"+l+\",4] but had shape \"+s.shape+\".\"),assert(1===u.rank&&u.shape[0]===l,\"Error in cropAndResize: boxInd must be have size [\"+l+\"] but had shape \"+s.shape+\".\"),assert(\"int32\"===u.dtype,\"Error in cropAndResize: boxInd must be of dtype int32, but got dtype \"+u.dtype+\".\"),assert(2===r.length,\"Error in cropAndResize: cropSize must be of length 2, but got length \"+r.length+\".\"),assert(r[0]>=1&&r[1]>=1,\"cropSize must be atleast [1,1], but was \"+r),assert(\"bilinear\"===o||\"nearest\"===o,\"method must be bilinear or nearest, but was \"+o);return ENV.engine.runKernel(function(e,t){return e.cropAndResize(i,s,u,r,o,a)},{$image:i,$boxes:s})}var resizeBilinear=op({resizeBilinear_:resizeBilinear_}),resizeNearestNeighbor=op({resizeNearestNeighbor_:resizeNearestNeighbor_}),nonMaxSuppression=op({nonMaxSuppression_:nonMaxSuppression_}),nonMaxSuppressionAsync=nonMaxSuppressionAsync_,cropAndResize=cropAndResize_,image_ops=Object.freeze({resizeBilinear:resizeBilinear,resizeNearestNeighbor:resizeNearestNeighbor,nonMaxSuppression:nonMaxSuppression,nonMaxSuppressionAsync:nonMaxSuppressionAsync,cropAndResize:cropAndResize}),ops=Object.freeze({image:image_ops,linalg:linalg_ops,losses:loss_ops,op:op,batchNormalization2d:batchNormalization2d,batchNormalization3d:batchNormalization3d,batchNormalization4d:batchNormalization4d,batchNormalization:batchNormalization,complex:complex,real:real,imag:imag,concat:concat,concat1d:concat1d,concat2d:concat2d,concat3d:concat3d,concat4d:concat4d,split:split$1,conv1d:conv1d,conv2d:conv2d,depthwiseConv2d:depthwiseConv2d,separableConv2d:separableConv2d,conv2dTranspose:conv2dTranspose,matMul:matMul,dot:dot,outerProduct:outerProduct,reverse:reverse,reverse1d:reverse1d,reverse2d:reverse2d,reverse3d:reverse3d,reverse4d:reverse4d,maxPool:maxPool,avgPool:avgPool,slice:slice,slice1d:slice1d,slice2d:slice2d,slice3d:slice3d,slice4d:slice4d,abs:abs,acos:acos,acosh:acosh,asin:asin,asinh:asinh,atan:atan,atanh:atanh,ceil:ceil,clipByValue:clipByValue,cos:cos,cosh:cosh,erf:erf,exp:exp,expm1:expm1,floor:floor,log:log$1,log1p:log1p,logSigmoid:logSigmoid,neg:neg,reciprocal:reciprocal,round:round,rsqrt:rsqrt,sigmoid:sigmoid,sign:sign,sin:sin,sinh:sinh,softplus:softplus,sqrt:sqrt,square:square,step:step,tan:tan,tanh:tanh$1,all:all,any:any,argMax:argMax,argMin:argMin,logSumExp:logSumExp,max:max,mean:mean,min:min,moments:moments,sum:sum,equal:equal,equalStrict:equalStrict,greater:greater,greaterEqual:greaterEqual,greaterEqualStrict:greaterEqualStrict,greaterStrict:greaterStrict,less:less,lessEqual:lessEqual,lessEqualStrict:lessEqualStrict,lessStrict:lessStrict,notEqual:notEqual,notEqualStrict:notEqualStrict,add:add,addN:addN,addStrict:addStrict,atan2:atan2,div:div,divStrict:divStrict,floorDiv:floorDiv,maximum:maximum,maximumStrict:maximumStrict,minimum:minimum,minimumStrict:minimumStrict,mod:mod,modStrict:modStrict,mul:mul,mulStrict:mulStrict,pow:pow,powStrict:powStrict,squaredDifference:squaredDifference,squaredDifferenceStrict:squaredDifferenceStrict,sub:sub,subStrict:subStrict,elu:elu,leakyRelu:leakyRelu,prelu:prelu,relu:relu,selu:selu,logicalAnd:logicalAnd,logicalNot:logicalNot,logicalOr:logicalOr,logicalXor:logicalXor,where:where,whereAsync:whereAsync,buffer:buffer,toPixels:toPixels,print:print,batchToSpaceND:batchToSpaceND,cast:cast,clone:clone,cumsum:cumsum,depthToSpace:depthToSpace,expandDims:expandDims,eye:eye,fromPixels:fromPixels,multinomial:multinomial,oneHot:oneHot,pad:pad,pad1d:pad1d,pad2d:pad2d,pad3d:pad3d,pad4d:pad4d,rand:rand,randomNormal:randomNormal,randomUniform:randomUniform,reshape:reshape,spaceToBatchND:spaceToBatchND,squeeze:squeeze,stack:stack,tile:tile,truncatedNormal:truncatedNormal,unstack:unstack,fill:fill,linspace:linspace,ones:ones$1,range:range,scalar:scalar,tensor:tensor,tensor1d:tensor1d,tensor2d:tensor2d,tensor3d:tensor3d,tensor4d:tensor4d,tensor5d:tensor5d,tensor6d:tensor6d,zeros:zeros,onesLike:onesLike,zerosLike:zerosLike,transpose:transpose,softmax:softmax,localResponseNormalization:localResponseNormalization,norm:norm,gather:gather,unsortedSegmentSum:unsortedSegmentSum,basicLSTMCell:basicLSTMCell,multiRNNCell:multiRNNCell,movingAverage:movingAverage,stridedSlice:stridedSlice,topk:topk}),MathBackendCPU=function(){function e(){this.blockSize=48,this.data=new WeakMap,this.firstUse=!0,ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\"))}return e.prototype.register=function(e,t,n){if(this.firstUse&&(this.firstUse=!1,ENV.get(\"IS_NODE\")&&warn(\"\\n============================\\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\\n============================\\n\")),this.data.has(e))throw new Error(\"Data buffer is already registered\");this.data.set(e,{dtype:n})},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendCPU.write(): values can not be null\");this.throwIfNoData(e),this.data.get(e).values=t},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"pixels passed to tf.fromPixels() can not be null\");var n,r;if(ENV.get(\"IS_NODE\")&&null==e.getContext)throw new Error(\"When running in node, pixels must be an HTMLCanvasElement like the one returned by the `canvas` npm package\");if(null!=e.getContext)n=e.getContext(\"2d\").getImageData(0,0,e.width,e.height).data;else if(e instanceof ImageData)n=e.data;else{if(!(e instanceof HTMLImageElement||e instanceof HTMLVideoElement))throw new Error(\"pixels passed to tf.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement or ImageData, but was \"+e.constructor.name);if(null==this.canvas)throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");this.canvas.width=e.width,this.canvas.height=e.height,this.canvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),n=this.canvas.getContext(\"2d\").getImageData(0,0,e.width,e.height).data}if(4===t)r=new Int32Array(n);else{var o=e.width*e.height;r=new Int32Array(o*t);for(var a=0;a<o;a++)for(var i=0;i<t;++i)r[a*t+i]=n[4*a+i]}return tensor3d(r,[e.height,e.width,t],\"int32\")},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.readSync(e)]})})},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.data.get(e),n=t.dtype,r=t.complexTensors;return\"complex64\"===n?mergeRealAndImagArrays(r.real.dataSync(),r.imag.dataSync()):this.data.get(e).values},e.prototype.disposeData=function(e){if(this.data.has(e)){var t=this.data.get(e).complexTensors;null!=t&&(t.real.dispose(),t.imag.dispose()),this.data.delete(e)}},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return t=now(),e(),[2,{kernelMs:now()-t}]})})},e.prototype.memory=function(){return{unreliable:!0}},e.prototype.throwIfNoData=function(e){if(!this.data.has(e))throw new Error(\"CPU backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.complex=function(e,t){var n=Tensor.make(e.shape,{},\"complex64\");return this.data.get(n.dataId).complexTensors={real:ENV.engine.keep(e.clone()),imag:ENV.engine.keep(t.clone())},n},e.prototype.real=function(e){return this.data.get(e.dataId).complexTensors.real.clone()},e.prototype.imag=function(e){return this.data.get(e.dataId).complexTensors.imag.clone()},e.prototype.assertNotComplex=function(e,t){Array.isArray(e)||(e=[e]),e.forEach(function(e){null!=e&&assert(\"complex64\"!==e.dtype,t+\" does not support complex64 tensors.\")})},e.prototype.slice=function(e,t,n){this.assertNotComplex(e,\"slice\");for(var r=buffer(n,e.dtype),o=0;o<r.size;++o){var a=r.indexToLoc(o),i=a.map(function(e,n){return e+t[n]});r.set.apply(r,[e.get.apply(e,i)].concat(a))}return r.toTensor()},e.prototype.stridedSlice=function(e,t,n,r,o,a,i,s,u){this.assertNotComplex(e,\"stridedSlice\");var l=getStridedSlicedInfo(e.shape,t,n,r,o,a,i,s,u),c=l[0],p=l[1],d=l[2],h=p.filter(function(e,t){return-1===d.indexOf(t)});if(h.some(function(e){return 0===e}))return tensor([],h);for(var f=buffer(p,e.dtype),m=0;m<f.size;m++){for(var g=f.indexToLoc(m),v=new Array(g.length),x=0;x<v.length;x++)v[x]=g[x]*r[x]+c[x];f.set.apply(f,[e.get.apply(e,v)].concat(g))}return f.toTensor().reshape(h)},e.prototype.reverse=function(e,t){this.assertNotComplex(e,\"reverse\");for(var n=buffer(e.shape,e.dtype),r=e.buffer(),o=function(o){var a=n.indexToLoc(o),i=a.slice();t.forEach(function(t){return i[t]=e.shape[t]-1-i[t]}),n.set.apply(n,[r.get.apply(r,i)].concat(a))},a=0;a<n.size;a++)o(a);return n.toTensor()},e.prototype.concat=function(e,t){this.assertNotComplex(e,\"concat\");var n=e.map(function(e){var n=sizeFromShape(e.shape.slice(t));return e.as2D(-1,n)}),r=computeOutShape(n.map(function(e){return e.shape}),1),o=buffer(r,e[0].dtype).values;if(1===n[0].shape[0]){var a=0;n.forEach(function(e){o.set(e.dataSync(),a),a+=e.size})}else{var i=0;n.forEach(function(e){for(var t=e.dataSync(),n=0,a=0;a<e.shape[0];++a)for(var s=a*r[1]+i,u=0;u<e.shape[1];++u)o[s+u]=t[n++];i+=e.shape[1]})}var s=computeOutShape(e.map(function(e){return e.shape}),t);return tensor(o,s,e[0].dtype)},e.prototype.neg=function(e){return this.assertNotComplex(e,\"neg\"),this.multiply(scalar(-1),e)},e.prototype.add=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,n,r){return{real:e+n,imag:t+r}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e+t})},e.prototype.addN=function(e){this.assertNotComplex(e,\"addN\");for(var t=e.map(function(e){return e.dataSync()}),n=buffer(e[0].shape,e[0].dtype),r=n.values,o=0;o<e.length;o++)for(var a=t[o],i=0;i<r.length;i++)r[i]+=a[i];return n.toTensor()},e.prototype.subtract=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,n,r){return{real:e-n,imag:t-r}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e-t})},e.prototype.pow=function(e,t){return this.assertNotComplex([e,t],\"pow\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.pow(e,t)})},e.prototype.batchMatMul=function(e,t,n,r){this.assertNotComplex([e,t],\"matMul\");for(var o=n?e.shape[1]:e.shape[2],a=n?e.shape[2]:e.shape[1],i=r?t.shape[1]:t.shape[2],s=e.shape[0],u=e.dataSync(),l=t.dataSync(),c=n?[e.strides[0],1,e.strides[1]]:[e.strides[0],e.strides[1],1],p=c[0],d=c[1],h=c[2],f=r?[1,t.strides[1],t.strides[0]]:[t.strides[1],1,t.strides[0]],m=f[0],g=f[1],v=f[2],x=a*i,y=new Float32Array(s*x),T=this.blockSize,b=0;b<s;b++)for(var S=0;S<a;S+=T)for(var E=0;E<i;E+=T)for(var w=0;w<o;w+=T)for(var C=Math.min(S+T,a),A=Math.min(E+T,i),_=Math.min(w+T,o),R=S;R<C;R++)for(var N=E;N<A;N++){for(var k=0,I=w;I<_;I++)k+=u[b*p+R*d+I*h]*l[I*m+N*g+b*v];y[b*x+(R*i+N)]+=k}return tensor3d(y,[s,a,i])},e.prototype.multiply=function(e,t){return\"complex64\"===e.dtype||\"complex64\"===t.dtype?this.broadcastedBinaryComplexOp(e.cast(\"complex64\"),t.cast(\"complex64\"),function(e,t,n,r){return{real:e*n-t*r,imag:e*r+t*n}}):this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e*t})},e.prototype.realDivide=function(e,t){this.assertNotComplex([e,t],\"realDivide\");return this.broadcastedBinaryOp(e,t,\"float32\",function(e,t){return e/t})},e.prototype.floorDiv=function(e,t){this.assertNotComplex([e,t],\"floorDiv\");return this.broadcastedBinaryOp(e,t,\"int32\",function(e,t){return Math.floor(e/t)})},e.prototype.sum=function(e,t){this.assertNotComplex(e,\"sum\"),assertAxesAreInnerMostDims(\"sum\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,upcastType(e.dtype,\"int32\")),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=0,d=0;d<i;++d)p+=u[c+d];s[l]=p}return a},e.prototype.unsortedSegmentSum=function(e,t,n){this.assertNotComplex(e,\"unsortedSegmentSum\");for(var r=[],o=e.rank-t.rank,a=0;a<o;++a)t=t.expandDims(a+1);for(a=0;a<n;++a){var i=scalar(a,\"int32\"),s=equal(i,t).asType(\"float32\").mul(e).sum(0);r.push(s)}return stack(r)},e.prototype.argMin=function(e,t){this.assertNotComplex(e,\"argMin\");var n=[t];assertAxesAreInnerMostDims(\"argMin\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=r[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m<d&&(d=m,h=f)}u[c]=h}return i},e.prototype.argMax=function(e,t){this.assertNotComplex(e,\"argMax\");var n=[t];assertAxesAreInnerMostDims(\"argMax\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),o=r[0],a=r[1],i=zeros(o,\"int32\"),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var p=c*s,d=l[p],h=0,f=0;f<s;++f){var m=l[p+f];m>d&&(d=m,h=f)}u[c]=h}return i},e.prototype.cumsum=function(e,t,n,r){if(this.assertNotComplex(e,\"cumsum\"),t!==e.rank-1)throw new Error(\"backend.cumsum in CPU expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);for(var o=upcastType(e.dtype,\"int32\"),a=zeros(e.shape,o),i=a.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=r?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var p=0;p<u;p++){var d=l(c,p);if(0===p)i[d]=n?0:s[d];else{var h=l(c,p-1);i[d]=n?s[h]+i[h]:s[d]+i[h]}}return a},e.prototype.equal=function(e,t){return this.assertNotComplex([e,t],\"equal\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.assertNotComplex([e,t],\"notEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.assertNotComplex([e,t],\"less\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.assertNotComplex([e,t],\"lessEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.assertNotComplex([e,t],\"greater\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.assertNotComplex([e,t],\"greaterEqual\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){this.assertNotComplex(e,\"logicalNot\");for(var t=e.dataSync(),n=new Int32Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return Tensor.make(e.shape,{values:n},\"bool\")},e.prototype.logicalAnd=function(e,t){return this.assertNotComplex([e,t],\"logicalAnd\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.assertNotComplex([e,t],\"logicalOr\"),this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e||t})},e.prototype.select=function(e,t,n){this.assertNotComplex([e,t,n],\"select\");for(var r=e.dataSync(),o=t.dataSync(),a=n.dataSync(),i=zeros(t.shape,upcastType(t.dtype,n.dtype)),s=i.dataSync(),u=0,l=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],c=0;c<r.length;c++)for(var p=0;p<l;p++)1===r[c]?s[u++]=o[c]:s[u++]=a[c];return i},e.prototype.where=function(e){this.assertNotComplex([e],\"where\");var t=e.dataSync();return whereImpl(e.shape,t)},e.prototype.topk=function(e,t,n){return this.assertNotComplex(e,\"topk\"),topkImpl(e.dataSync(),e.shape,e.dtype,t,n)},e.prototype.min=function(e,t){this.assertNotComplex(e,\"min\"),assertAxesAreInnerMostDims(\"min\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h<p&&(p=h)}s[l]=p}return a},e.prototype.minimum=function(e,t){return this.assertNotComplex([e,t],\"minimum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.assertNotComplex([e,t],\"mod\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})},e.prototype.max=function(e,t){this.assertNotComplex(e,\"max\"),assertAxesAreInnerMostDims(\"max\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];h>p&&(p=h)}s[l]=p}return a},e.prototype.maximum=function(e,t){return this.assertNotComplex([e,t],\"maximum\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){this.assertNotComplex(e,\"all\"),assertAxesAreInnerMostDims(\"all\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p&&h}s[l]=p}return a},e.prototype.any=function(e,t){this.assertNotComplex(e,\"any\"),assertAxesAreInnerMostDims(\"any\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],o=n[1],a=zeros(r,e.dtype),i=sizeFromShape(o),s=a.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,p=u[c],d=0;d<i;++d){var h=u[c+d];p=p||h}s[l]=p}return a},e.prototype.squaredDifference=function(e,t){return this.assertNotComplex([e,t],\"squaredDifference\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){this.assertNotComplex(e,\"ceil\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.floor=function(e){this.assertNotComplex(e,\"floor\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.sign=function(e){this.assertNotComplex(e,\"x\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return Tensor.make(e.shape,{values:n})},e.prototype.round=function(e){this.assertNotComplex(e,\"round\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=Math.floor(t[r]);t[r]-o<.5?n[r]=Math.floor(t[r]):t[r]-o>.5?n[r]=Math.ceil(t[r]):n[r]=o%2==0?o:o+1}return Tensor.make(e.shape,{values:n})},e.prototype.exp=function(e){this.assertNotComplex(e,\"exp\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.expm1=function(e){this.assertNotComplex(e,\"expm1\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.log=function(e){this.assertNotComplex(e,\"log\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=Math.log(o)}return Tensor.make(e.shape,{values:n})},e.prototype.log1p=function(e){this.assertNotComplex(e,\"log1p\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=Math.log1p(o)}return Tensor.make(e.shape,{values:n})},e.prototype.sqrt=function(e){this.assertNotComplex(e,\"sqrt\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=Math.sqrt(o)}return Tensor.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){this.assertNotComplex(e,\"rsqrt\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=1/Math.sqrt(o)}return Tensor.make(e.shape,{values:n})},e.prototype.square=function(e){this.assertNotComplex(e,\"square\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var o=t[r];n[r]=o*o}return Tensor.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){this.assertNotComplex(e,\"reciprocal\");for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return Tensor.make(e.shape,{values:n})},e.prototype.relu=function(e){this.assertNotComplex(e,\"relu\");for(var t=zeros(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return t},e.prototype.elu=function(e){this.assertNotComplex(e,\"elu\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var o=n[r];t[r]=o>=0?o:Math.exp(o)-1}return Tensor.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){this.assertNotComplex([e,t],\"eluDer\");for(var n=new Float32Array(t.size),r=t.dataSync(),o=e.dataSync(),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return Tensor.make(t.shape,{values:n})},e.prototype.selu=function(e){this.assertNotComplex(e,\"selu\");for(var t=SELU_SCALEALPHA,n=SELU_SCALE,r=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];r[a]=i>=0?n*i:t*(Math.exp(i)-1)}return Tensor.make(e.shape,{values:r})},e.prototype.clip=function(e,t,n){this.assertNotComplex(e,\"clip\");for(var r=new Float32Array(e.size),o=e.dataSync(),a=0;a<o.length;++a){var i=o[a];r[a]=i>n?n:i<t?t:i}return Tensor.make(e.shape,{values:r})},e.prototype.abs=function(e){this.assertNotComplex(e,\"abs\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.int=function(e){this.assertNotComplex(e,\"int\");for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return Tensor.make(e.shape,{values:t},\"int32\")},e.prototype.sigmoid=function(e){this.assertNotComplex(e,\"sigmoid\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return Tensor.make(e.shape,{values:t})},e.prototype.softplus=function(e){this.assertNotComplex(e,\"softplus\");for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),o=0;o<r.length;++o){var a=r[o]>-t,i=r[o]<t,s=Math.exp(r[o]),u=void 0;u=i?s:a?r[o]:Math.log(1+s),n[o]=u}return Tensor.make(e.shape,{values:n})},e.prototype.sin=function(e){this.assertNotComplex(e,\"sin\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cos=function(e){this.assertNotComplex(e,\"cos\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tan=function(e){this.assertNotComplex(e,\"tan\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asin=function(e){this.assertNotComplex(e,\"asin\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acos=function(e){this.assertNotComplex(e,\"acos\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan=function(e){this.assertNotComplex(e,\"atan\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.assertNotComplex([e,t],\"atan2\"),this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){this.assertNotComplex(e,\"sinh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cosh=function(e){this.assertNotComplex(e,\"cosh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tanh=function(e){this.assertNotComplex(e,\"tanh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=tanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asinh=function(e){this.assertNotComplex(e,\"asinh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acosh=function(e){this.assertNotComplex(e,\"acosh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atanh=function(e){this.assertNotComplex(e,\"atanh\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.erf=function(e){this.assertNotComplex(e,\"erf\");for(var t=new Float32Array(e.size),n=e.dataSync(),r=ERF_P,o=ERF_A1,a=ERF_A2,i=ERF_A3,s=ERF_A4,u=ERF_A5,l=0;l<n.length;++l){var c=n[l],p=1/(1+r*c);t[l]=1-((((u*p+s)*p+i)*p+a)*p+o)*p*Math.exp(-c*c)}return Tensor.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0),this.assertNotComplex(e,\"step\");for(var n=new Float32Array(e.size),r=e.dataSync(),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:t}return Tensor.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){this.assertNotComplex([e,t],\"conv2d\");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=buffer(n.outShape,e.dtype),c=e.dataSync(),p=t.dataSync(),d=l.values,h=0;h<n.batchSize;++h)for(var f=h*e.strides[0],m=h*l.strides[0],g=0;g<n.outHeight;++g)for(var v=m+g*l.strides[1],x=g*n.strideHeight-s,y=0;y<r;y++){var T=x+y*a;if(!(T<0||T>=n.inHeight))for(var b=y*t.strides[0],S=f+T*e.strides[1],E=0;E<n.outWidth;++E)for(var w=v+E*n.outChannels,C=E*n.strideWidth-u,A=0;A<o;A++){var _=C+A*i;if(!(_<0||_>=n.inWidth))for(var R=b+A*t.strides[1],N=S+_*n.inChannels,k=R,I=0;I<n.inChannels;++I){for(var D=c[N+I],M=0;M<n.outChannels;++M)d[w+M]+=D*p[k+M];k+=n.outChannels}}}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){this.assertNotComplex([e,t],\"conv2dDerInput\");for(var r=buffer(n.inShape,\"float32\"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],x=m[2],y=n.batchSize,T=n.filterHeight,b=n.filterWidth,S=n.inChannels,E=n.inHeight,w=n.inWidth,C=n.outChannels,A=n.outHeight,_=n.outWidth,R=n.strideHeight,N=n.strideWidth,k=T-1-n.padInfo.top,I=b-1-n.padInfo.left,D=0;D<y;++D)for(var M=0;M<S;++M)for(var O=0;O<E;++O)for(var P=O-k,F=Math.max(0,Math.ceil(P/R)),L=Math.min(A,(T+P)/R),B=0;B<w;++B){for(var U=B-I,z=Math.max(0,Math.ceil(U/N)),V=Math.min(_,(b+U)/N),H=0,G=F;G<L;++G)for(var W=G*R-P,q=z;q<V;++q)for(var $=p*D+d*G+h*q,X=g*(T-1-W)+v*(b-1-(q*N-U))+x*M,K=0;K<C;++K){H+=l[$+K]*f[X+K]}o[i*D+s*O+u*B+M]=H}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){this.assertNotComplex([e,t],\"conv2dDerFilter\");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<a;++c)for(var p=Math.max(0,Math.ceil((l-c)/r)),d=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<i;++h)for(var f=Math.max(0,Math.ceil((u-h)/o)),m=Math.min(n.outWidth,(n.inWidth+u-h)/o),g=0;g<n.inChannels;++g)for(var v=0;v<n.outChannels;++v){for(var x=0,y=0;y<n.batchSize;++y)for(var T=p;T<d;++T)for(var b=c+T*r-l,S=f;S<m;++S){var E=h+S*o-u;x+=e.get(y,b,E,g)*t.get(y,T,S,v)}s.set(x,c,h,g,v)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){this.assertNotComplex([e,t],\"depthwiseConv2D\");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=buffer(n.outShape,e.dtype),p=e.dataSync(),d=t.dataSync(),h=c.values,f=0;f<n.batchSize;++f)for(var m=f*e.strides[0],g=f*c.strides[0],v=0;v<n.outHeight;++v)for(var x=g+v*c.strides[1],y=v*n.strideHeight-s,T=0;T<r;++T){var b=y+T*a;if(!(b<0||b>=n.inHeight))for(var S=T*t.strides[0],E=m+b*e.strides[1],w=0;w<n.outWidth;++w)for(var C=x+w*c.strides[2],A=w*n.strideWidth-u,_=0;_<o;++_){var R=A+_*i;if(!(R<0||R>=n.inWidth))for(var N=S+_*t.strides[1],k=E+R*n.inChannels,I=C,D=N,M=0;M<n.inChannels;++M){for(var O=p[k+M],P=0;P<l;++P)h[I+P]+=O*d[D+P];I+=l,D+=l}}}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){this.assertNotComplex([e,t],\"depthwiseConv2DDerInput\");for(var r=buffer(n.inShape,\"float32\"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],l=e.dataSync(),c=e.strides,p=c[0],d=c[1],h=c[2],f=t.dataSync(),m=t.strides,g=m[0],v=m[1],x=m[2],y=n.batchSize,T=n.filterHeight,b=n.filterWidth,S=n.inChannels,E=n.inHeight,w=n.inWidth,C=n.outChannels,A=n.outHeight,_=n.outWidth,R=n.strideHeight,N=n.strideWidth,k=T-1-n.padInfo.top,I=b-1-n.padInfo.left,D=C/S,M=0;M<y;++M)for(var O=0;O<S;++O)for(var P=0;P<E;++P)for(var F=P-k,L=Math.max(0,Math.ceil(F/R)),B=Math.min(A,(T+F)/R),U=0;U<w;++U){for(var z=U-I,V=Math.max(0,Math.ceil(z/N)),H=Math.min(_,(b+z)/N),G=0,W=L;W<B;++W)for(var q=W*R-F,$=V;$<H;++$)for(var X=p*M+d*W+h*$,K=g*(T-1-q)+v*(b-1-($*N-z))+x*O,j=0;j<D;++j){G+=l[X+(O*D+j)]*f[K+j]}o[i*M+s*P+u*U+O]=G}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){this.assertNotComplex([e,t],\"depthwiseConv2DDerFilter\");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=0;p<a;++p)for(var d=Math.max(0,Math.ceil((l-p)/r)),h=Math.min(n.outHeight,(n.inHeight+l-p)/r),f=0;f<i;++f)for(var m=Math.max(0,Math.ceil((u-f)/o)),g=Math.min(n.outWidth,(n.inWidth+u-f)/o),v=0;v<n.outChannels;++v){for(var x=Math.trunc(v/c),y=v%c,T=0,b=0;b<n.batchSize;++b)for(var S=d;S<h;++S)for(var E=p+S*r-l,w=m;w<g;++w){var C=f+w*o-u;T+=e.get(b,E,C,x)*t.get(b,S,w,v)}s.set(T,p,f,x,y)}return s.toTensor()},e.prototype.tile=function(e,t){this.assertNotComplex(e,\"tile\");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var o=buffer(n,e.dtype),a=e.buffer();for(r=0;r<o.values.length;++r){for(var i=o.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=i[u]%e.shape[u];var l=a.locToIndex(s);o.values[r]=a.values[l]}return o.toTensor()},e.prototype.pad=function(e,t,n){this.assertNotComplex(e,\"pad\");var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),o=t.map(function(e){return e[0]}),a=e.buffer(),i=buffer(r,e.dtype);0!==n&&i.values.fill(n);for(var s=0;s<e.size;s++){var u=a.indexToLoc(s),l=u.map(function(e,t){return e+o[t]});i.set.apply(i,[e.get.apply(e,u)].concat(l))}return i.toTensor()},e.prototype.transpose=function(e,t){this.assertNotComplex(e,\"transpose\");for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var o=e.dataSync(),a=buffer(n,e.dtype),i=e.buffer();for(r=0;r<e.size;++r){for(var s=i.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=a.locToIndex(u);a.values[c]=o[r]}return a.toTensor()},e.prototype.gather=function(e,t,n){this.assertNotComplex([e,t],\"gather\");var r=e.shape.slice(),o=t.dataSync();r[n]=o.length;for(var a=buffer(r,e.dtype),i=e.buffer(),s=0;s<a.size;++s){var u=a.indexToLoc(s),l=u.slice();l[n]=o[u[n]];var c=i.locToIndex(l);a.values[s]=i.values[c]}return a.toTensor()},e.prototype.batchToSpaceND=function(e,t,n){this.assertNotComplex([e],\"batchToSpaceND\");var r=t.reduce(function(e,t){return e*t}),o=getReshaped(e.shape,t,r),a=getPermuted(o.length,t.length),i=getReshapedPermuted(e.shape,t,r),s=getSliceBeginCoords(n,t.length),u=getSliceSize(i,n,t.length);return e.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(e,t,n){this.assertNotComplex([e],\"spaceToBatchND\");var r=t.reduce(function(e,t){return e*t}),o=[[0,0]];o.push.apply(o,n);for(var a=1+t.length;a<e.shape.length;++a)o.push([0,0]);var i=e.pad(o),s=getReshaped(i.shape,t,r,!1),u=getPermuted(s.length,t.length,!1),l=getReshapedPermuted(i.shape,t,r,!1);return i.reshape(s).transpose(u).reshape(l)},e.prototype.pool=function(e,t,n){this.assertNotComplex(e,\"pool\");for(var r=t.strideHeight,o=t.strideWidth,a=t.filterHeight,i=t.filterWidth,s=buffer(t.outShape,\"float32\"),u=t.padInfo.top,l=t.padInfo.left,c=\"max\"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,p=0;p<t.batchSize;++p)for(var d=0;d<t.inChannels;++d)for(var h=0;h<t.outHeight;++h)for(var f=h*r-u,m=Math.max(0,f),g=Math.min(t.inHeight,a+f),v=0;v<t.outWidth;++v){for(var x=v*o-l,y=Math.max(0,x),T=Math.min(t.inWidth,i+x),b=c,S=0,E=0,w=m;w<g;++w){for(var C=y;C<T;++C){var A=e.get(p,w,C,d);\"max\"===n&&A>b?b=A:\"avg\"===n&&(S+=A,E++)}if(isNaN(b))break}s.set(\"avg\"===n?S/E:b,p,h,v,d)}return s.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,\"max\")},e.prototype.maxPoolPositions=function(e,t){for(var n=buffer(t.outShape,\"int32\"),r=t.strideHeight,o=t.strideWidth,a=t.filterHeight,i=t.filterWidth,s=t.padInfo.top,u=t.padInfo.left,l=0;l<t.batchSize;++l)for(var c=0;c<t.inChannels;++c)for(var p=0;p<t.outHeight;++p)for(var d=p*r-s,h=Math.max(0,d),f=Math.min(t.inHeight,a+d),m=0;m<t.outWidth;++m){for(var g=m*o-u,v=Math.max(0,g),x=Math.min(t.inWidth,i+g),y=Number.NEGATIVE_INFINITY,T=-1,b=h;b<f;++b)for(var S=b-d,E=v;E<x;++E){var w=E-g,C=e.get(l,b,E,c);C>y&&(y=C,T=S*i+w)}n.set(T,l,p,m,c)}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){this.assertNotComplex([t,n],\"maxPoolBackprop\");for(var o=this.maxPoolPositions(t,r),a=r.strideHeight,i=r.strideWidth,s=r.filterHeight,u=r.filterWidth,l=u-1-r.padInfo.left,c=s-1-r.padInfo.top,p=buffer(t.shape,\"float32\"),d=0;d<r.batchSize;++d)for(var h=0;h<r.inChannels;++h)for(var f=0;f<r.inHeight;++f)for(var m=0;m<r.inWidth;++m){for(var g=f-c,v=m-l,x=0,y=0;y<s;++y){var T=(g+y)/a;if(!(T<0||T>=r.outHeight||Math.floor(T)!==T))for(var b=0;b<u;++b){var S=(v+b)/i;if(!(S<0||S>=r.outWidth||Math.floor(S)!==S)){var E=s*u-1-o.get(d,T,S,h)===y*u+b?1:0;if(0!==E)x+=e.get(d,T,S,h)*E}}}p.set(x,d,f,m,h)}return p.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){this.assertNotComplex([e,t],\"avgPoolBackprop\");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=i-1-n.padInfo.left,u=a-1-n.padInfo.top,l=buffer(t.shape,\"float32\"),c=1/(a*i),p=0;p<n.batchSize;++p)for(var d=0;d<n.inChannels;++d)for(var h=0;h<n.inHeight;++h)for(var f=0;f<n.inWidth;++f){for(var m=h-u,g=f-s,v=0,x=0;x<a;++x){var y=(m+x)/r;if(!(y<0||y>=n.outHeight||Math.floor(y)!==y))for(var T=0;T<i;++T){var b=(g+T)/o;if(!(b<0||b>=n.outWidth||Math.floor(b)!==b))v+=e.get(p,y,b,d)}}l.set(v*c,p,h,f,d)}return l.toTensor()},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.avgPool=function(e,t){return this.assertNotComplex(e,\"avgPool\"),this.pool(e,t,\"avg\").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){this.assertNotComplex(e,\"resizeBilinear\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=buffer([a,t,n,u],e.dtype),c=[r&&t>1?i-1:i,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],d=0;d<a;d++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var m=0;m<u;m++){var g=c[0]*h/p[0],v=c[1]*f/p[1],x=Math.floor(g),y=Math.min(i-1,Math.ceil(g)),T=Math.floor(v),b=Math.min(s-1,Math.ceil(v)),S=e.get(d,x,T,m),E=e.get(d,y,T,m),w=v-T,C=S+(e.get(d,x,b,m)-S)*w,A=C+(E+(e.get(d,y,b,m)-E)*w-C)*(g-x);l.set(A,d,h,f,m)}return l.toTensor()},e.prototype.resizeBilinearBackprop=function(e,t,n){this.assertNotComplex([e,t],\"resizeBilinearBackprop\");for(var r=t.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],p=buffer([o,a,i,s],t.dtype),d=[n&&l>1?a-1:a,n&&c>1?i-1:i],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],f=d[0]/h[0],m=d[1]/h[1],g=0;g<o;g++)for(var v=0;v<l;v++)for(var x=v*f,y=Math.floor(x),T=Math.min(Math.ceil(x),a-1),b=x-y,S=1-b,E=0;E<c;E++)for(var w=E*m,C=Math.floor(w),A=Math.min(Math.ceil(w),i-1),_=w-C,R=1-_,N=0;N<s;N++){var k=e.get(g,v,E,N),I=p.get(g,y,C,N);I+=k*S*R,p.set(I,g,y,C,N);var D=p.get(g,y,A,N);D+=k*S*_,p.set(D,g,y,A,N);var M=p.get(g,T,C,N);M+=k*b*R,p.set(M,g,T,C,N);var O=p.get(g,T,A,N);O+=k*b*_,p.set(O,g,T,A,N)}return p.toTensor()},e.prototype.resizeNearestNeighbor=function(e,t,n,r){this.assertNotComplex(e,\"resizeNearestNeighbor\");for(var o=e.shape,a=o[0],i=o[1],s=o[2],u=o[3],l=buffer([a,t,n,u],e.dtype),c=[r&&t>1?i-1:i,r&&n>1?s-1:s],p=[r&&t>1?t-1:t,r&&n>1?n-1:n],d=0;d<a;d++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var m=0;m<u;m++){var g=c[0]*h/p[0],v=c[1]*f/p[1],x=Math.min(i-1,r?Math.round(g):Math.floor(g)),y=Math.min(s-1,r?Math.round(v):Math.floor(v)),T=e.get(d,x,y,m);l.set(T,d,h,f,m)}return l.toTensor()},e.prototype.resizeNearestNeighborBackprop=function(e,t,n){this.assertNotComplex([e,t],\"resizeNearestNeighborBackprop\");for(var r=t.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],p=buffer([o,a,i,s],t.dtype),d=[n&&l>1?a-1:a,n&&c>1?i-1:i],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],f=1/(d[0]/h[0]),m=1/(d[1]/h[1]),g=2*Math.ceil(f)+2,v=2*Math.ceil(m)+2,x=0;x<o;x++)for(var y=0;y<a;y++)for(var T=0;T<i;T++)for(var b=Math.floor(y*f),S=Math.floor(b-g/2),E=Math.floor(T*m),w=Math.floor(E-v/2),C=0;C<s;C++){for(var A=0,_=0;_<g;_++){var R=_+S;if(!(R<0||R>=l))for(var N=0;N<v;N++){var k=N+w;if(!(k<0||k>=c)){var I=d[0]*(R/h[0]),D=d[1]*(k/h[1]),M=Math.min(a-1,n?Math.round(I):Math.floor(I)),O=Math.min(i-1,n?Math.round(D):Math.floor(D));y===M&&T===O&&(A+=e.get(x,R,k,C))}}}p.set(A,x,y,T,C)}return p.toTensor()},e.prototype.batchNormalization=function(e,t,n,r,o,a){this.assertNotComplex([e,t,n,o,a],\"batchNormalization\");for(var i=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=o?o.dataSync():new Float32Array([1]),c=a?a.dataSync():new Float32Array([0]),p=new Float32Array(i.length),d=c.length,h=l.length,f=u.length,m=s.length,g=0,v=0,x=0,y=0,T=0;T<i.length;++T)p[T]=c[g++]+(i[T]-s[v++])*l[x++]/Math.sqrt(u[y++]+r),g>=d&&(g=0),v>=m&&(v=0),x>=h&&(x=0),y>=f&&(y=0);return tensor4d(p,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,o){this.assertNotComplex(e,\"localResponseNormalization4D\");var a=e.shape[3],i=a-1,s=e.dataSync(),u=sizeFromShape(e.shape),l=new Float32Array(u);function c(e){for(var n=e%a,r=e-n+Math.max(0,n-t),o=e-n+Math.min(n+t,i),u=0;r<=o;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var d=c(p),h=s[p]*Math.pow(n+r*d,-o);l[p]=h}return tensor4d(l,e.shape)},e.prototype.LRNGrad=function(e,t,n,r,o,a,i){this.assertNotComplex(e,\"LRNGrad\");for(var s=e.shape[3],u=e.dataSync(),l=t.dataSync(),c=n.dataSync(),p=new Float32Array(sizeFromShape(e.shape)),d=sizeFromShape(e.shape),h=0;h<d;h++){for(var f=h%s,m=h-f+Math.max(0,f-r),g=h-f+Math.min(s,f+r+1),v=0,x=m;x<g;x++)v+=Math.pow(l[x],2);v=a*v+o;for(x=m;x<g;x++){var y=-2*a*i*l[x]*c[h]/v;h===x&&(y+=Math.pow(v,-i)),y*=u[h],p[x]+=y}}return tensor4d(p,e.shape)},e.prototype.multinomial=function(e,t,n,r){this.assertNotComplex(e,\"multinomial\");for(var o=t?e:softmax(e),a=o.shape[0],i=o.shape[1],s=zeros([a,n],\"int32\"),u=s.dataSync(),l=o.dataSync(),c=0;c<a;++c){var p=c*i,d=new Float32Array(i-1);d[0]=l[p];for(var h=1;h<d.length;++h)d[h]=d[h-1]+l[p+h];for(var f=seedrandom_1(r.toString()),m=c*n,g=0;g<n;++g){var v=f();u[m+g]=d.length;for(var x=0;x<d.length;x++)if(v<d[x]){u[m+g]=x;break}}}return s},e.prototype.oneHot=function(e,t,n,r){this.assertNotComplex(e,\"oneHot\");var o=new Float32Array(e.size*t);o.fill(r);for(var a=0;a<e.size;++a)e.get(a)>=0&&e.get(a)<t&&(o[a*t+e.get(a)]=n);return tensor2d(o,[e.size,t],\"int32\")},e.prototype.nonMaxSuppression=function(e,t,n,r,o){return this.assertNotComplex(e,\"nonMaxSuppression\"),nonMaxSuppressionImpl(e.dataSync(),t.dataSync(),n,r,o)},e.prototype.depthToSpace=function(e,t,n){assert(\"NHWC\"===n,\"Only NHWC dataFormat supported on CPU for depthToSpace. Got \"+n),assert(t>1,\"blockSize should be > 1 for depthToSpace, but was: \"+t);for(var r=e.shape[0],o=e.shape[1],a=e.shape[2],i=e.shape[3],s=o*t,u=a*t,l=i/(t*t),c=e.dataSync(),p=new Float32Array(r*s*u*l),d=0,h=0;h<r;++h)for(var f=0;f<s;++f)for(var m=Math.floor(f/t),g=f%t,v=0;v<u;++v)for(var x=Math.floor(v/t),y=(g*t+v%t)*l,T=0;T<l;++T){var b=T+y+i*(x+a*(m+o*h));p[d++]=c[b]}return tensor4d(p,[r,s,u,l])},e.prototype.broadcastedBinaryOp=function(e,t,n,r){var o=assertAndGetBroadcastShape(e.shape,t.shape),a=buffer(o,n),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,o),l=getBroadcastDims(t.shape,o),c=a.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(i[p%i.length],s[p%s.length]);else{var d=e.buffer(),h=t.buffer(),f=function(n){var o=a.indexToLoc(n),p=o.slice(-e.rank);u.forEach(function(e){return p[e]=0});var f=d.locToIndex(p),m=o.slice(-t.rank);l.forEach(function(e){return m[e]=0});var g=h.locToIndex(m);c[n]=r(i[f],s[g])};for(p=0;p<c.length;++p)f(p)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(e,t,n){var r=assertAndGetBroadcastShape(e.shape,t.shape),o=buffer(r,\"float32\"),a=buffer(r,\"float32\"),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,r),l=getBroadcastDims(t.shape,r),c=o.values,p=a.values;if(u.length+l.length===0)for(var d=0;d<c.length;d++){var h=d%i.length,f=d%s.length,m=n(i[2*h],i[2*h+1],s[2*f],s[2*f+1]);c[d]=m.real,p[d]=m.imag}else{var g=this.data.get(e.dataId).complexTensors.real.buffer(),v=this.data.get(t.dataId).complexTensors.real.buffer(),x=function(r){var a=o.indexToLoc(r),d=a.slice(-e.rank);u.forEach(function(e){return d[e]=0});var h=g.locToIndex(d),f=a.slice(-t.rank);l.forEach(function(e){return f[e]=0});var m=v.locToIndex(f),x=n(i[2*h],i[2*h+1],s[2*m],s[2*m+1]);c[r]=x.real,p[r]=x.imag};for(d=0;d<c.length;d++)x(d)}return this.complex(o.toTensor(),a.toTensor())},e.prototype.split=function(e,t,n){return split(e,t,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.cropAndResize=function(e,t,n,r,o,a){for(var i=e.shape,s=i[0],u=i[1],l=i[2],c=i[3],p=t.shape[0],d=r[0],h=r[1],f=buffer([p,d,h,c]),m=t.dataSync(),g=n.dataSync(),v=e.dataSync(),x=e.strides,y=f.strides,T=0;T<p;T++){var b=4*T,S=m[b],E=m[b+1],w=m[b+2],C=m[b+3],A=g[T];if(!(A>=s))for(var _=d>1?(w-S)*(u-1)/(d-1):0,R=h>1?(C-E)*(l-1)/(h-1):0,N=0;N<d;N++){var k=d>1?S*(u-1)+N*_:.5*(S+w)*(u-1);if(k<0||k>u-1)for(var I=0;I<h;I++)for(var D=0;D<c;D++){var M=D+I*y[2]+N*y[1]+T*y[0];f.values[M]=a}else if(\"bilinear\"===o){var O=Math.floor(k),P=Math.ceil(k),F=k-O;for(I=0;I<h;I++){if((q=h>1?E*(l-1)+I*R:.5*(E+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+I*y[2]+N*y[1]+T*y[0];f.values[M]=a}else{var L=Math.floor(q),B=Math.ceil(q),U=q-L;for(D=0;D<c;D++){var z=v[M=D+L*x[2]+O*x[1]+A*x[0]],V=v[M=D+B*x[2]+O*x[1]+A*x[0]],H=v[M=D+L*x[2]+P*x[1]+A*x[0]],G=z+(V-z)*U,W=H+(v[M=D+B*x[2]+P*x[1]+A*x[0]]-H)*U;M=D+I*y[2]+N*y[1]+T*y[0],f.values[M]=G+(W-G)*F}}}}else for(I=0;I<h;++I){var q;if((q=h>1?E*(l-1)+I*R:.5*(E+C)*(l-1))<0||q>l-1)for(D=0;D<c;D++){M=D+I*y[2]+N*y[1]+T*y[0];f.values[M]=a}else{var $=Math.round(q),X=Math.round(k);for(D=0;D<c;D++){var K=D+$*x[2]+X*x[1]+A*x[0],j=D+I*y[2]+N*y[1]+T*y[0];f.values[j]=v[K]}}}}}return f.toTensor()},e}();ENV.registerBackend(\"cpu\",function(){return new MathBackendCPU},1,setTensorTracker);var delayCallback=\"undefined\"!=typeof requestAnimationFrame?requestAnimationFrame:setImmediate;function nextFrame(){return new Promise(function(e){return delayCallback(function(){return e()})})}var DTYPE_VALUE_SIZE_MAP={float32:4,int32:4,uint16:2,uint8:1,bool:1};function encodeWeights(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o;return __generator(this,function(a){switch(a.label){case 0:for(r in t=[],n=[],e){if(\"float32\"!==(o=e[r]).dtype&&\"int32\"!==o.dtype&&\"bool\"!==o.dtype)throw new Error(\"Unsupported dtype in weight '\"+r+\"': \"+o.dtype);t.push({name:r,shape:o.shape,dtype:o.dtype}),n.push(o.data())}return[4,Promise.all(n)];case 1:return[2,{data:concatenateTypedArrays(a.sent()),specs:t}]}})})}function decodeWeights(e,t){for(var n={},r=0,o=function(t){var o=t.name,a=t.dtype,i=t.shape,s=sizeFromShape(i),u=void 0;if(\"quantization\"in t){var l=t.quantization;if(\"uint8\"!==l.dtype&&\"uint16\"!==l.dtype)throw new Error(\"Weight \"+t.name+\" has unknown quantization dtype \"+l.dtype+\". Supported quantization dtypes are: 'uint8' and 'uint16'.\");var c=DTYPE_VALUE_SIZE_MAP[l.dtype],p=e.slice(r,r+s*c),d=\"uint8\"===l.dtype?new Uint8Array(p):new Uint16Array(p);if(\"float32\"===a)u=Float32Array.from(d,function(e){return e*l.scale+l.min});else{if(\"int32\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=Int32Array.from(d,function(e){return Math.round(e*l.scale+l.min)})}r+=s*c}else{var h=DTYPE_VALUE_SIZE_MAP[a];p=e.slice(r,r+s*h);if(\"float32\"===a)u=new Float32Array(p);else if(\"int32\"===a)u=new Int32Array(p);else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);u=new Uint8Array(p)}r+=s*h}var f=void 0;if(\"float32\"===a)f=tensor(u,i,\"float32\");else if(\"int32\"===a)f=tensor(u,i,\"int32\");else{if(\"bool\"!==a)throw new Error(\"Unsupported dtype in weight '\"+o+\"': \"+a);f=tensor(u,i,\"bool\")}n[o]=f},a=0,i=t;a<i.length;a++){o(i[a])}return n}function concatenateTypedArrays(e){if(null===e)throw new Error(\"Invalid input value: \"+JSON.stringify(e));var t=0,n=[];e.forEach(function(e){if(t+=e.byteLength,n.push(e.byteLength===e.buffer.byteLength?e:new e.constructor(e)),!(e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array))throw new Error(\"Unsupported TypedArray subtype: \"+e.constructor.name)});var r=new Uint8Array(t),o=0;return n.forEach(function(e){r.set(new Uint8Array(e.buffer),o),o+=e.byteLength}),r.buffer}var useNodeBuffer=\"undefined\"!=typeof Buffer&&(\"undefined\"==typeof Blob||\"undefined\"==typeof atob||\"undefined\"==typeof btoa);function stringByteLength(e){return useNodeBuffer?Buffer.byteLength(e):new Blob([e]).size}function arrayBufferToBase64String(e){return useNodeBuffer?Buffer.from(e).toString(\"base64\"):btoa(String.fromCharCode.apply(null,new Uint8Array(e)))}function base64StringToArrayBuffer(e){if(useNodeBuffer){var t=Buffer.from(e,\"base64\");return t.buffer.slice(t.byteOffset,t.byteOffset+t.byteLength)}for(var n=atob(e),r=new Uint8Array(n.length),o=0;o<n.length;++o)r.set([n.charCodeAt(o)],o);return r.buffer}function concatenateArrayBuffers(e){var t=0;e.forEach(function(e){t+=e.byteLength});var n=new Uint8Array(t),r=0;return e.forEach(function(e){n.set(new Uint8Array(e),r),r+=e.byteLength}),n.buffer}function basename(e){for(e=e.trim();e.endsWith(\"/\");)e=e.slice(0,e.length-1);var t=e.split(\"/\");return t[t.length-1]}function getModelArtifactsInfoForJSON(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:null==e.modelTopology?0:stringByteLength(JSON.stringify(e.modelTopology)),weightSpecsBytes:null==e.weightSpecs?0:stringByteLength(JSON.stringify(e.weightSpecs)),weightDataBytes:null==e.weightData?0:e.weightData.byteLength}}var IORouterRegistry=function(){function e(){this.saveRouters=[],this.loadRouters=[]}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerSaveRouter=function(t){e.getInstance().saveRouters.push(t)},e.registerLoadRouter=function(t){e.getInstance().loadRouters.push(t)},e.getSaveHandlers=function(t){return e.getHandlers(t,\"save\")},e.getLoadHandlers=function(t){return e.getHandlers(t,\"load\")},e.getHandlers=function(e,t){var n=[];return(\"load\"===t?this.getInstance().loadRouters:this.getInstance().saveRouters).forEach(function(t){var r=t(e);null!==r&&n.push(r)}),n},e}(),URL_SCHEME_SUFFIX=\"://\",ModelStoreManagerRegistry=function(){function e(){this.managers={}}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerManager=function(t,n){assert(null!=t,\"scheme must not be undefined or null.\"),t.endsWith(URL_SCHEME_SUFFIX)&&(t=t.slice(0,t.indexOf(URL_SCHEME_SUFFIX))),assert(t.length>0,\"scheme must not be an empty string.\");var r=e.getInstance();assert(null==r.managers[t],\"A model store manager is already registered for scheme '\"+t+\"'.\"),r.managers[t]=n},e.getManager=function(e){var t=this.getInstance().managers[e];if(null==t)throw new Error(\"Cannot find model manager for scheme '\"+e+\"'\");return t},e.getSchemes=function(){return Object.keys(this.getInstance().managers)},e}();function parseURL(e){if(-1===e.indexOf(URL_SCHEME_SUFFIX))throw new Error(\"The url string provided does not contain a scheme. Supported schemes are: \"+ModelStoreManagerRegistry.getSchemes().join(\",\"));return{scheme:e.split(URL_SCHEME_SUFFIX)[0],path:e.split(URL_SCHEME_SUFFIX)[1]}}function cloneModelInternal(e,t,n){return void 0===n&&(n=!1),__awaiter(this,void 0,void 0,function(){var r,o,a,i,s,u,l,c,p;return __generator(this,function(d){switch(d.label){case 0:return assert(e!==t,\"Old path and new path are the same: '\"+e+\"'\"),assert((r=IORouterRegistry.getLoadHandlers(e)).length>0,\"Copying failed because no load handler is found for source URL \"+e+\".\"),assert(r.length<2,\"Copying failed because more than one (\"+r.length+\") load handlers for source URL \"+e+\".\"),o=r[0],assert((a=IORouterRegistry.getSaveHandlers(t)).length>0,\"Copying failed because no save handler is found for destination URL \"+t+\".\"),assert(a.length<2,\"Copying failed because more than one (\"+r.length+\") save handlers for destination URL \"+t+\".\"),i=a[0],s=parseURL(e).scheme,u=parseURL(e).path,l=s===parseURL(e).scheme,[4,o.load()];case 1:return c=d.sent(),n&&l?[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)]:[3,3];case 2:d.sent(),d.label=3;case 3:return[4,i.save(c)];case 4:return p=d.sent(),!n||l?[3,6]:[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:d.sent(),d.label=6;case 6:return[2,p.modelArtifactsInfo]}})})}function listModels(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a,i;return __generator(this,function(s){switch(s.label){case 0:e=ModelStoreManagerRegistry.getSchemes(),t={},n=0,r=e,s.label=1;case 1:return n<r.length?(o=r[n],[4,ModelStoreManagerRegistry.getManager(o).listModels()]):[3,4];case 2:for(i in a=s.sent())t[o+URL_SCHEME_SUFFIX+i]=a[i];s.label=3;case 3:return n++,[3,1];case 4:return[2,t]}})})}function removeModel(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){switch(n.label){case 0:return t=parseURL(e),[4,ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:return[2,n.sent()]}})})}function copyModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!1)];case 1:return[2,n.sent()]}})})}function moveModel(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!0)];case 1:return[2,n.sent()]}})})}var DATABASE_NAME=\"tensorflowjs\",DATABASE_VERSION=1,MODEL_STORE_NAME=\"models_store\",INFO_STORE_NAME=\"model_info_store\";function getIndexedDBFactory(){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");var e=window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function setUpDatabase(e){var t=e.result;t.createObjectStore(MODEL_STORE_NAME,{keyPath:\"modelPath\"}),t.createObjectStore(INFO_STORE_NAME,{keyPath:\"modelPath\"})}var BrowserIndexedDB=function(){function e(e){if(this.indexedDB=getIndexedDBFactory(),null==e||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return[2,this.databaseAction(this.modelPath,e)]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,this.databaseAction(this.modelPath)]})})},e.prototype.databaseAction=function(e,t){var n=this;return new Promise(function(e,r){var o=n.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var a=o.result;if(null==t){var i=a.transaction(MODEL_STORE_NAME,\"readonly\"),s=i.objectStore(MODEL_STORE_NAME).get(n.modelPath);s.onsuccess=function(){if(null==s.result)return a.close(),r(new Error(\"Cannot find model with path '\"+n.modelPath+\"' in IndexedDB.\"));e(s.result.modelArtifacts)},s.onerror=function(e){return a.close(),r(s.error)},i.oncomplete=function(){return a.close()}}else{var u,l=getModelArtifactsInfoForJSON(t),c=a.transaction(INFO_STORE_NAME,\"readwrite\"),p=c.objectStore(INFO_STORE_NAME),d=p.put({modelPath:n.modelPath,modelArtifactsInfo:l});d.onsuccess=function(){var o=(u=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).put({modelPath:n.modelPath,modelArtifacts:t,modelArtifactsInfo:l});o.onsuccess=function(){return e({modelArtifactsInfo:l})},o.onerror=function(e){var t=(p=c.objectStore(INFO_STORE_NAME)).delete(n.modelPath);t.onsuccess=function(){return a.close(),r(o.error)},t.onerror=function(e){return a.close(),r(o.error)}}},d.onerror=function(e){return a.close(),r(d.error)},c.oncomplete=function(){null==u?a.close():u.oncomplete=function(){return a.close()}}}},o.onerror=function(e){return r(o.error)}})},e.URL_SCHEME=\"indexeddb://\",e}(),indexedDBRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserIndexedDB.URL_SCHEME)?browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)):null};function browserIndexedDB(e){return new BrowserIndexedDB(e)}function maybeStripScheme(e){return e.startsWith(BrowserIndexedDB.URL_SCHEME)?e.slice(BrowserIndexedDB.URL_SCHEME.length):e}IORouterRegistry.registerSaveRouter(indexedDBRouter),IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager=function(){function e(){this.indexedDB=getIndexedDBFactory()}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e=this;return __generator(this,function(t){return[2,new Promise(function(t,n){var r=e.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);r.onupgradeneeded=function(){return setUpDatabase(r)},r.onsuccess=function(){var e=r.result,o=e.transaction(INFO_STORE_NAME,\"readonly\"),a=o.objectStore(INFO_STORE_NAME).getAll();a.onsuccess=function(){for(var e={},n=0,r=a.result;n<r.length;n++){var o=r[n];e[o.modelPath]=o.modelArtifactsInfo}t(e)},a.onerror=function(t){return e.close(),n(a.error)},o.oncomplete=function(){return e.close()}},r.onerror=function(e){return n(r.error)}})]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(n){return e=maybeStripScheme(e),[2,new Promise(function(n,r){var o=t.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);o.onupgradeneeded=function(){return setUpDatabase(o)},o.onsuccess=function(){var t,a=o.result,i=a.transaction(INFO_STORE_NAME,\"readwrite\"),s=i.objectStore(INFO_STORE_NAME),u=s.get(e);u.onsuccess=function(){if(null==u.result)return a.close(),r(new Error(\"Cannot find model with path '\"+e+\"' in IndexedDB.\"));var o=s.delete(e),i=function(){var o=(t=a.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).delete(e);o.onsuccess=function(){return n(u.result.modelArtifactsInfo)},o.onerror=function(e){return r(u.error)}};o.onsuccess=i,o.onerror=function(e){return i(),a.close(),r(u.error)}},u.onerror=function(e){return a.close(),r(u.error)},i.oncomplete=function(){null==t?a.close():t.oncomplete=function(){return a.close()}}},o.onerror=function(e){return r(o.error)}})]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME,new BrowserIndexedDBManager)}catch(e){}var PATH_SEPARATOR=\"/\",PATH_PREFIX=\"tensorflowjs_models\",INFO_SUFFIX=\"info\",MODEL_TOPOLOGY_SUFFIX=\"model_topology\",WEIGHT_SPECS_SUFFIX=\"weight_specs\",WEIGHT_DATA_SUFFIX=\"weight_data\";function getModelKeys(e){return{info:[PATH_PREFIX,e,INFO_SUFFIX].join(PATH_SEPARATOR),topology:[PATH_PREFIX,e,MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),weightSpecs:[PATH_PREFIX,e,WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),weightData:[PATH_PREFIX,e,WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR)}}function getModelPathFromKey(e){var t=e.split(PATH_SEPARATOR);if(t.length<3)throw new Error(\"Invalid key format: \"+e);return t.slice(1,t.length-1).join(PATH_SEPARATOR)}function maybeStripScheme$1(e){return e.startsWith(BrowserLocalStorage.URL_SCHEME)?e.slice(BrowserLocalStorage.URL_SCHEME.length):e}var BrowserLocalStorage=function(){function e(e){if(!ENV.get(\"IS_BROWSER\")||void 0===window.localStorage)throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,null==e||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=getModelKeys(this.modelPath)}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o;return __generator(this,function(a){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),r=getModelArtifactsInfoForJSON(e);try{return this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,arrayBufferToBase64String(e.weightData)),[2,{modelArtifactsInfo:r}]}catch(e){for(o in this.keys)this.LS.removeItem(this.keys[o]);throw new Error(\"Failed to save model '\"+this.modelPath+\"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=\"+r.modelTopologyBytes+\", weightSpecsBytes=\"+r.weightSpecsBytes+\", weightDataBytes=\"+r.weightDataBytes+\".\")}return[2]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o;return __generator(this,function(a){if(null==(e=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error(\"In local storage, there is no model with name '\"+this.modelPath+\"'\");if(\"JSON\"!==e.modelTopologyType)throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");if(t={},null==(n=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error(\"In local storage, the topology of model '\"+this.modelPath+\"' is missing.\");if(t.modelTopology=n,null==(r=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error(\"In local storage, the weight specs of model '\"+this.modelPath+\"' are missing.\");if(t.weightSpecs=r,null==(o=this.LS.getItem(this.keys.weightData)))throw new Error(\"In local storage, the binary weight values of model '\"+this.modelPath+\"' are missing.\");return t.weightData=base64StringToArrayBuffer(o),[2,t]})})},e.URL_SCHEME=\"localstorage://\",e}(),localStorageRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserLocalStorage.URL_SCHEME)?browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)):null};function browserLocalStorage(e){return new BrowserLocalStorage(e)}IORouterRegistry.registerSaveRouter(localStorageRouter),IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager=function(){function e(){assert(ENV.get(\"IS_BROWSER\"),\"Current environment is not a web browser\"),assert(void 0!==window.localStorage,\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a;return __generator(this,function(i){for(e={},t=PATH_PREFIX+PATH_SEPARATOR,n=PATH_SEPARATOR+INFO_SUFFIX,r=0;r<this.LS.length;++r)(o=this.LS.key(r)).startsWith(t)&&o.endsWith(n)&&(a=getModelPathFromKey(o),e[a]=JSON.parse(this.LS.getItem(o)));return[2,e]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){if(e=maybeStripScheme$1(e),t=getModelKeys(e),null==this.LS.getItem(t.info))throw new Error(\"Cannot find model at path '\"+e+\"'\");return n=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,n]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME,new BrowserLocalStorageManager)}catch(e){}var DEFAULT_FILE_NAME_PREFIX=\"model\",DEFAULT_JSON_EXTENSION_NAME=\".json\",DEFAULT_WEIGHT_DATA_EXTENSION_NAME=\".weights.bin\",BrowserDownloads=function(){function e(t){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"triggerDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t=DEFAULT_FILE_NAME_PREFIX),this.modelTopologyFileName=t+DEFAULT_JSON_EXTENSION_NAME,this.weightDataFileName=t+DEFAULT_WEIGHT_DATA_EXTENSION_NAME}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i;return __generator(this,function(s){if(t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"})),e.modelTopology instanceof ArrayBuffer)throw new Error(\"DownloadTrigger.save() does not support saving model topology in binary formats yet.\");return n=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},o=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:\"application/json\"})),(a=null==this.jsonAnchor?document.createElement(\"a\"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=o,a.click(),null!=e.weightData&&((i=null==this.weightDataAnchor?document.createElement(\"a\"):this.weightDataAnchor).download=this.weightDataFileName,i.href=t,i.click()),[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e)}]})})},e.URL_SCHEME=\"downloads://\",e}(),BrowserFiles=function(){function e(e){if(null==e||e.length<1)throw new Error(\"When calling browserFiles, at least 1 file is required, but received \"+e);this.files=e}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n=this;return __generator(this,function(r){return e=this.files[0],t=this.files.slice(1),[2,new Promise(function(r,o){var a=new FileReader;a.onload=function(a){var i=JSON.parse(a.target.result),s=i.modelTopology;if(null!=s){0===t.length&&r({modelTopology:s});var u=i.weightsManifest;if(null!=u){var l;try{l=n.checkManifestAndWeightFiles(u,t)}catch(e){return void o(e)}var c=[],p=[],d=[];u.forEach(function(e){e.paths.forEach(function(e){p.push(e),d.push(null)}),c.push.apply(c,e.weights)}),u.forEach(function(e){e.paths.forEach(function(e){var t=new FileReader;t.onload=function(t){var n=t.target.result,o=p.indexOf(e);d[o]=n,-1===d.indexOf(null)&&r({modelTopology:s,weightSpecs:c,weightData:concatenateArrayBuffers(d)})},t.onerror=function(t){o(\"Failed to weights data from file of path '\"+e+\"'.\")},t.readAsArrayBuffer(l[e])})})}else o(new Error(\"weightManifest field is missing from file \"+e.name))}else o(new Error(\"modelTopology field is missing from file \"+e.name))},a.onerror=function(t){o(\"Failed to read model topology and weights manifest JSON from file '\"+e.name+\"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.\")},a.readAsText(e)})]})})},e.prototype.checkManifestAndWeightFiles=function(e,t){for(var n=[],r=t.map(function(e){return basename(e.name)}),o={},a=0,i=e;a<i.length;a++){i[a].paths.forEach(function(e){var a=basename(e);if(-1!==n.indexOf(a))throw new Error(\"Duplicate file basename found in weights manifest: '\"+a+\"'\");if(n.push(a),-1===r.indexOf(a))throw new Error(\"Weight file with basename '\"+a+\"' is not provided.\");o[e]=t[r.indexOf(a)]})}if(n.length!==t.length)throw new Error(\"Mismatch in the number of files in weights manifest (\"+n.length+\") and the number of weight files provided (\"+t.length+\").\");return o},e}(),browserDownloadsRouter=function(e){return ENV.get(\"IS_BROWSER\")&&!Array.isArray(e)&&e.startsWith(BrowserDownloads.URL_SCHEME)?browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)):null};function browserDownloads(e){return void 0===e&&(e=\"model\"),new BrowserDownloads(e)}function browserFiles(e){return new BrowserFiles(e)}function loadWeightsAsArrayBuffer(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(o){switch(o.label){case 0:return n=e.map(function(e){return fetch(e,t)}),[4,Promise.all(n)];case 1:return r=o.sent(),[4,Promise.all(r.map(function(e){return e.arrayBuffer()}))];case 2:return[2,o.sent()]}})})}function loadWeights(e,t,n,r){return void 0===t&&(t=\"\"),__awaiter(this,void 0,void 0,function(){var o,a,i,s,u,l,c,p,d,h;return __generator(this,function(f){switch(f.label){case 0:if(o=e.map(function(){return!1}),a={},i=null!=n?n.map(function(){return!1}):[],s=[],e.forEach(function(e,t){var r=0;e.weights.forEach(function(e){var u=\"quantization\"in e?e.quantization.dtype:e.dtype,l=DTYPE_VALUE_SIZE_MAP[u]*sizeFromShape(e.shape),c=function(){o[t]=!0,null==a[t]&&(a[t]=[]),a[t].push({manifestEntry:e,groupOffset:r,sizeBytes:l})};null!=n?n.forEach(function(t,n){t===e.name&&(c(),i[n]=!0)}):c(),s.push(e.name),r+=l})}),!i.every(function(e){return e}))throw u=n.filter(function(e,t){return!i[t]}),new Error(\"Could not find weights in manifest with names: \"+u.join(\", \")+\". \\nManifest JSON has weights with names: \"+s.join(\", \")+\".\");return l=o.reduce(function(e,t,n){return t&&e.push(n),e},[]),c=[],l.forEach(function(n){e[n].paths.forEach(function(e){var n=t+(t.endsWith(\"/\")?\"\":\"/\")+e;c.push(n)})}),[4,loadWeightsAsArrayBuffer(c,r)];case 1:return p=f.sent(),d={},h=0,l.forEach(function(t){for(var n=e[t].paths.length,r=0,o=0;o<n;o++)r+=p[h+o].byteLength;for(var i=new ArrayBuffer(r),s=new Uint8Array(i),u=0,l=0;l<n;l++){var c=new Uint8Array(p[h+l]);s.set(c,u),u+=c.byteLength}a[t].forEach(function(e){var t=decodeWeights(i.slice(e.groupOffset,e.groupOffset+e.sizeBytes),[e.manifestEntry]);for(var n in t)d[n]=t[n]}),h+=n}),[2,d]}})})}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest=function(){function e(e,t){if(this.DEFAULT_METHOD=\"POST\",\"undefined\"==typeof fetch)throw new Error(\"browserHTTPRequest is not supported outside the web browser without a fetch polyfill.\");if(assert(null!=e&&e.length>0,\"URL path for browserHTTPRequest must not be null, undefined or empty.\"),Array.isArray(e)&&assert(2===e.length,\"URL paths for browserHTTPRequest must have a length of 2, (actual length is \"+e.length+\").\"),this.path=e,null!=t&&null!=t.body)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t||{}}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o;return __generator(this,function(a){switch(a.label){case 0:if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");return(t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,n=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},t.body.append(\"model.json\",new Blob([JSON.stringify(r)],{type:\"application/json\"}),\"model.json\"),null!=e.weightData&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:\"application/octet-stream\"}),\"model.weights.bin\"),[4,fetch(this.path,t)];case 1:if(200===(o=a.sent()).status)return[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e),responses:[o]}];throw new Error(\"BrowserHTTPRequest.save() failed due to HTTP response status \"+o.status+\".\")}})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,Array.isArray(this.path)?this.loadBinaryModel():this.loadJSONModel()]})})},e.prototype.loadBinaryTopology=function(){return __awaiter(this,void 0,void 0,function(){var e;return __generator(this,function(t){switch(t.label){case 0:return t.trys.push([0,3,,4]),[4,fetch(this.path[0],this.requestInit)];case 1:return[4,t.sent().arrayBuffer()];case 2:return[2,t.sent()];case 3:throw e=t.sent(),new Error(this.path[0]+\" not found. \"+e);case 4:return[2]}})})},e.prototype.loadBinaryModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a,i,s;return __generator(this,function(u){switch(u.label){case 0:return e=this.loadBinaryTopology(),[4,fetch(this.path[1],this.requestInit)];case 1:return t=u.sent(),[4,Promise.all([e,t])];case 2:return n=u.sent(),r=n[0],[4,n[1].json()];case 3:return null==(o=u.sent())?[3,5]:[4,this.loadWeights(o)];case 4:s=u.sent(),a=s[0],i=s[1],u.label=5;case 5:return[2,{modelTopology:r,weightSpecs:a,weightData:i}]}})})},e.prototype.loadJSONModel=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,o,a,i;return __generator(this,function(s){switch(s.label){case 0:return[4,fetch(this.path,this.requestInit)];case 1:return[4,s.sent().json()];case 2:if(e=s.sent(),t=e.modelTopology,n=e.weightsManifest,null==t&&null==n)throw new Error(\"The JSON from HTTP path \"+this.path+\" contains neither model topology or manifest for weights.\");return null==n?[3,4]:(a=e.weightsManifest,[4,this.loadWeights(a)]);case 3:i=s.sent(),r=i[0],o=i[1],s.label=4;case 4:return[2,{modelTopology:t,weightSpecs:r,weightData:o}]}})})},e.prototype.loadWeights=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,o,a,i,s,u,l;return __generator(this,function(c){switch(c.label){case 0:for(t=Array.isArray(this.path)?this.path[1]:this.path,n=[],r=0,o=e;r<o.length;r++)a=o[r],n.push.apply(n,a.weights);return(i=t.substring(0,t.lastIndexOf(\"/\"))).endsWith(\"/\")||(i+=\"/\"),s=[],e.forEach(function(e){e.paths.forEach(function(e){s.push(i+e)})}),u=[n],l=concatenateArrayBuffers,[4,loadWeightsAsArrayBuffer(s,this.requestInit)];case 1:return[2,u.concat([l.apply(void 0,[c.sent()])])]}})})},e.URL_SCHEME_REGEX=/^https?:\\/\\//,e}();function isHTTPScheme(e){return null!=e.match(BrowserHTTPRequest.URL_SCHEME_REGEX)}var httpRequestRouter=function(e){if(\"undefined\"==typeof fetch)return null;return(Array.isArray(e)?e.every(function(e){return isHTTPScheme(e)}):isHTTPScheme(e))?browserHTTPRequest(e):null};function browserHTTPRequest(e,t){return new BrowserHTTPRequest(e,t)}IORouterRegistry.registerSaveRouter(httpRequestRouter),IORouterRegistry.registerLoadRouter(httpRequestRouter);var PassthroughLoader=function(){function e(e,t,n){this.modelTopology=e,this.weightSpecs=t,this.weightData=n}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e;return __generator(this,function(t){return e={},null!=this.modelTopology&&(e=__assign({modelTopology:this.modelTopology},e)),null!=this.weightSpecs&&this.weightSpecs.length>0&&(e=__assign({weightSpecs:this.weightSpecs},e)),null!=this.weightData&&this.weightData.byteLength>0&&(e=__assign({weightData:this.weightData},e)),[2,e]})})},e}(),PassthroughSaver=function(){function e(e){this.saveHandler=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.saveHandler(e)]})})},e}();function fromMemory(e,t,n){return new PassthroughLoader(e,t,n)}function withSaveHandler(e){return new PassthroughSaver(e)}var registerSaveRouter=IORouterRegistry.registerSaveRouter,registerLoadRouter=IORouterRegistry.registerLoadRouter,getSaveHandlers=IORouterRegistry.getSaveHandlers,getLoadHandlers=IORouterRegistry.getLoadHandlers,io=Object.freeze({browserFiles:browserFiles,browserHTTPRequest:browserHTTPRequest,concatenateArrayBuffers:concatenateArrayBuffers,decodeWeights:decodeWeights,encodeWeights:encodeWeights,fromMemory:fromMemory,getLoadHandlers:getLoadHandlers,getModelArtifactsInfoForJSON:getModelArtifactsInfoForJSON,getSaveHandlers:getSaveHandlers,loadWeights:loadWeights,registerLoadRouter:registerLoadRouter,registerSaveRouter:registerSaveRouter,withSaveHandler:withSaveHandler,copyModel:copyModel,listModels:listModels,moveModel:moveModel,removeModel:removeModel}),Serializable=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),SerializationMap=function(){function e(){this.classNameMap={}}return e.getMap=function(){return null==e.instance&&(e.instance=new e),e.instance},e.register=function(t){e.getMap().classNameMap[t.className]=[t,t.fromConfig]},e}();function registerClass(e){assert(null!=e.className,\"Class being registered does not have the static className property defined.\"),assert(\"string\"==typeof e.className,\"className is required to be a string, but got type \"+typeof e.className),assert(e.className.length>0,\"Class being registered has an empty-string as its className, which is disallowed.\"),SerializationMap.register(e)}var serialization=Object.freeze({Serializable:Serializable,SerializationMap:SerializationMap,registerClass:registerClass}),WEBGL_ENVS={HAS_WEBGL:!0},NODE_ENVS={IS_NODE:!0},CHROME_ENVS={IS_CHROME:!0},BROWSER_ENVS={IS_BROWSER:!0},CPU_ENVS={HAS_WEBGL:!1},ALL_ENVS={};function expectArraysClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),e instanceof Tensor||t instanceof Tensor){if(e instanceof Tensor&&t instanceof Tensor){if(e.dtype!==t.dtype)throw new Error(\"Arrays are of different type actual: \"+e.dtype+\" vs expected: \"+t.dtype+\".\");if(!arraysEqual(e.shape,t.shape))throw new Error(\"Arrays are of different shape actual: \"+e.shape+\" vs expected: \"+t.shape+\".\")}}else{var r=e.constructor.name,o=t.constructor.name;if(r!==o)throw new Error(\"Arrays are of different type actual: \"+r+\" vs expected: \"+o)}var a,i;if(a=e instanceof Tensor?e.dataSync():e,i=t instanceof Tensor?t.dataSync():t,a.length!==i.length)throw new Error(\"Arrays have different lengths actual: \"+a.length+\" vs expected: \"+i.length+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\");for(var s=0;s<i.length;++s){var u=a[s],l=i[s];if(!areClose(u,Number(l),n))throw new Error(\"Arrays differ: actual[\"+s+\"] = \"+u+\", expected[\"+s+\"] = \"+l+\".\\nActual:   \"+a+\".\\nExpected: \"+i+\".\")}}function expectPromiseToFail(e,t){e().then(function(){return t.fail()},function(){return t()})}function expectArraysEqual(e,t){return expectArraysClose(e,t,0)}function expectNumbersClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),!areClose(e,t,n))throw new Error(\"Numbers differ: actual === \"+e+\", expected === \"+t)}function areClose(e,t,n){return!(!isNaN(e)||!isNaN(t))||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function expectValuesInRange(e,t,n){var r;r=e instanceof Tensor?e.dataSync():e;for(var o=0;o<r.length;o++)if(r[o]<t||r[o]>n)throw new Error(\"Value out of range:\"+r[o]+\" low: \"+t+\", high: \"+n)}function expectArrayBuffersEqual(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}var test_util=Object.freeze({WEBGL_ENVS:WEBGL_ENVS,NODE_ENVS:NODE_ENVS,CHROME_ENVS:CHROME_ENVS,BROWSER_ENVS:BROWSER_ENVS,CPU_ENVS:CPU_ENVS,ALL_ENVS:ALL_ENVS,expectArraysClose:expectArraysClose,expectPromiseToFail:expectPromiseToFail,expectArraysEqual:expectArraysEqual,expectNumbersClose:expectNumbersClose,expectValuesInRange:expectValuesInRange,expectArrayBuffersEqual:expectArrayBuffersEqual}),version=\"0.13.0\",webgl=Object.freeze({gpgpu_util:gpgpu_util,webgl_util:webgl_util,MathBackendWebGL:MathBackendWebGL,GPGPUContext:GPGPUContext}),Optimizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.minimize=function(e,t,n){void 0===t&&(t=!1);var r=this.computeGradients(e,n),o=r.value,a=r.grads;return this.applyGradients(a),Object.keys(a).forEach(function(e){return a[e].dispose()}),t?o:(o.dispose(),null)},t.prototype.computeGradients=function(e,t){return variableGrads(e,t)},t}(Serializable),AdadeltaOptimizer=function(e){function t(t,n,r){void 0===r&&(r=null);var o=e.call(this)||this;return o.learningRate=t,o.rho=n,o.epsilon=r,o.accumulatedGrads={},o.accumulatedUpdates={},o.c=keep(scalar(-t)),o.rhoScalar=keep(scalar(n)),o.oneMinusRho=keep(scalar(1-n)),null===r&&(r=ENV.get(\"EPSILON\")),o.epsilonScalar=keep(scalar(r)),o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=zerosLike(o).variable(!1)})}if(null==r.accumulatedUpdates[n]){tidy(function(){t.accumulatedUpdates[n]=zerosLike(o).variable(!1)})}var a=e[n],i=r.accumulatedGrads[n],s=r.accumulatedUpdates[n];tidy(function(){var e=t.rhoScalar.mul(i).add(t.oneMinusRho.mul(a.square())),r=s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(a),u=t.rhoScalar.mul(s).add(t.oneMinusRho.mul(r.square()));t.accumulatedGrads[n].assign(e),t.accumulatedUpdates[n].assign(u);var l=t.c.mul(r).add(o);o.assign(l)})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.rhoScalar.dispose(),this.oneMinusRho.dispose(),null!=this.accumulatedUpdates&&(Object.keys(this.accumulatedUpdates).forEach(function(t){return e.accumulatedUpdates[t].dispose()}),Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t.className=\"AdadeltaOptimizer\",t}(Optimizer);registerClass(AdadeltaOptimizer);var AdagradOptimizer=function(e){function t(t,n){void 0===n&&(n=.1);var r=e.call(this)||this;return r.learningRate=t,r.initialAccumulatorValue=n,r.accumulatedGrads={},r.c=keep(scalar(-t)),r.epsilon=keep(scalar(ENV.get(\"EPSILON\"))),r}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=fill(o.shape,t.initialAccumulatorValue).variable(!1)})}var a=e[n],i=r.accumulatedGrads[n];tidy(function(){var e=i.add(a.square());t.accumulatedGrads[n].assign(e);var r=t.c.mul(a.div(e.add(t.epsilon).sqrt())).add(o);o.assign(r)})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){var e=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t.className=\"AdagradOptimizer\",t}(Optimizer);registerClass(AdagradOptimizer);var AdamOptimizer=function(e){function t(t,n,r,o){void 0===o&&(o=null);var a=e.call(this)||this;return a.learningRate=t,a.beta1=n,a.beta2=r,a.epsilon=o,a.accumulatedFirstMoment={},a.accumulatedSecondMoment={},a.c=keep(scalar(-t)),a.beta1Scalar=keep(scalar(n)),a.beta2Scalar=keep(scalar(r)),tidy(function(){a.accBeta1=scalar(n).variable(),a.accBeta2=scalar(r).variable()}),a.oneMinusBeta1=keep(scalar(1-n)),a.oneMinusBeta2=keep(scalar(1-r)),a.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),a.epsScalar=keep(scalar(o)),a}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.one.sub(t.accBeta2);for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedSecondMoment[o]){i=!1;t.accumulatedSecondMoment[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedSecondMoment[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),d=c.div(n),h=p.div(r);t.accumulatedFirstMoment[o].assign(c),t.accumulatedSecondMoment[o].assign(p);var f=t.c.mul(d.div(t.epsScalar.add(h.sqrt()))).add(a);a.assign(f)}t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)),t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.accBeta1.dispose(),this.accBeta2.dispose(),this.oneMinusBeta1.dispose(),this.oneMinusBeta2.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedSecondMoment&&Object.keys(this.accumulatedSecondMoment).forEach(function(t){return e.accumulatedSecondMoment[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t.className=\"AdamOptimizer\",t}(Optimizer);registerClass(AdamOptimizer);var AdamaxOptimizer=function(e){function t(t,n,r,o,a){void 0===o&&(o=null),void 0===a&&(a=0);var i=e.call(this)||this;return i.learningRate=t,i.beta1=n,i.beta2=r,i.epsilon=o,i.decay=a,i.accumulatedFirstMoment={},i.accumulatedWeightedInfNorm={},i.c=keep(scalar(-t)),i.beta1Scalar=keep(scalar(n)),i.beta2Scalar=keep(scalar(r)),i.decayScalar=keep(scalar(a)),tidy(function(){i.iteration=scalar(0).variable(),i.accBeta1=scalar(n).variable()}),i.oneMinusBeta1=keep(scalar(1-n)),i.one=keep(scalar(1)),null===o&&(o=ENV.get(\"EPSILON\")),i.epsScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for(var o in e){var a=ENV.engine.registeredVariables[o];if(null==t.accumulatedFirstMoment[o]){var i=!1;t.accumulatedFirstMoment[o]=zerosLike(a).variable(i)}if(null==t.accumulatedWeightedInfNorm[o]){i=!1;t.accumulatedWeightedInfNorm[o]=zerosLike(a).variable(i)}var s=e[o],u=t.accumulatedFirstMoment[o],l=t.accumulatedWeightedInfNorm[o],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),p=t.beta2Scalar.mul(l),d=s.abs(),h=p.maximum(d);t.accumulatedFirstMoment[o].assign(c),t.accumulatedWeightedInfNorm[o].assign(h);var f=r.div(n).mul(c.div(t.epsScalar.add(h))).add(a);a.assign(f)}t.iteration.assign(t.iteration.add(t.one)),t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.accBeta1.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.oneMinusBeta1.dispose(),this.decayScalar.dispose(),this.iteration.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedWeightedInfNorm&&Object.keys(this.accumulatedWeightedInfNorm).forEach(function(t){return e.accumulatedWeightedInfNorm[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t.className=\"AdamaxOptimizer\",t}(Optimizer);registerClass(AdamaxOptimizer);var SGDOptimizer=function(e){function t(t){var n=e.call(this)||this;return n.learningRate=t,n.setLearningRate(t),n}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;Object.keys(e).forEach(function(n){var r=e[n],o=ENV.engine.registeredVariables[n];tidy(function(){var e=t.c.mul(r).add(o);o.assign(e)})})},t.prototype.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=keep(scalar(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t.className=\"SGDOptimizer\",t}(Optimizer);registerClass(SGDOptimizer);var MomentumOptimizer=function(e){function t(t,n,r){void 0===r&&(r=!1);var o=e.call(this,t)||this;return o.learningRate=t,o.momentum=n,o.useNesterov=r,o.m=scalar(o.momentum),o.accumulations={},o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulations[n]){tidy(function(){t.accumulations[n]=zerosLike(o).variable(!1)})}var a=r.accumulations[n],i=e[n];tidy(function(){var e,r=t.m.mul(a).add(i);e=t.useNesterov?t.c.mul(i.add(r.mul(t.m))).add(o):t.c.mul(r).add(o),t.accumulations[n].assign(r),o.assign(e)})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){if(e.prototype.dispose.call(this),this.m.dispose(),null!=this.accumulations)for(var t in this.accumulations)this.accumulations[t].dispose()},t.prototype.setMomentum=function(e){this.momentum=e},t.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)},t.className=\"MomentumOptimizer\",t}(SGDOptimizer);registerClass(MomentumOptimizer);var RMSPropOptimizer=function(e){function t(t,n,r,o,a){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===o&&(o=null),void 0===a&&(a=!1);var i=e.call(this)||this;return i.learningRate=t,i.decay=n,i.momentum=r,i.epsilon=o,i.accumulatedMeanSquares={},i.accumulatedMeanGrads={},i.accumulatedMoments={},i.c=keep(scalar(t)),i.decayScalar=keep(scalar(n)),i.momentumScalar=keep(scalar(r)),i.oneMinusDecay=keep(scalar(1-n)),i.centered=a,null===o&&(o=ENV.get(\"EPSILON\")),i.epsilonScalar=keep(scalar(o)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var o=ENV.engine.registeredVariables[n];if(null==r.accumulatedMeanSquares[n]){tidy(function(){t.accumulatedMeanSquares[n]=zerosLike(o).variable(!1)})}if(null==r.accumulatedMeanGrads[n]&&r.centered){tidy(function(){t.accumulatedMeanGrads[n]=zerosLike(o).variable(!1)})}if(null==r.accumulatedMoments[n]){tidy(function(){t.accumulatedMoments[n]=zerosLike(o).variable(!1)})}var a=r.accumulatedMeanSquares[n],i=r.accumulatedMeanGrads[n],s=r.accumulatedMoments[n],u=e[n];tidy(function(){var e=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));if(t.centered){var r=t.decayScalar.mul(i).add(t.oneMinusDecay.mul(u)),l=t.momentumScalar.mul(s).add(t.c.mul(u).div(e.sub(r.square().add(t.epsilonScalar)).sqrt()));t.accumulatedMeanSquares[n].assign(e),t.accumulatedMeanGrads[n].assign(r),t.accumulatedMoments[n].assign(l);var c=o.sub(l);o.assign(c)}else{var p=t.decayScalar.mul(a).add(t.oneMinusDecay.mul(u.square()));l=t.momentumScalar.mul(s).add(t.c.mul(u).div(p.add(t.epsilonScalar).sqrt()));t.accumulatedMeanSquares[n].assign(p),t.accumulatedMoments[n].assign(l);c=o.sub(l);o.assign(c)}})},r=this;for(var o in e)n(o)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.decayScalar.dispose(),this.momentumScalar.dispose(),this.oneMinusDecay.dispose(),null!=this.accumulatedMeanSquares&&Object.keys(this.accumulatedMeanSquares).forEach(function(t){return e.accumulatedMeanSquares[t].dispose()}),null!=this.accumulatedMeanGrads&&this.centered&&Object.keys(this.accumulatedMeanGrads).forEach(function(t){return e.accumulatedMeanGrads[t].dispose()}),null!=this.accumulatedMoments&&Object.keys(this.accumulatedMoments).forEach(function(t){return e.accumulatedMoments[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},t.fromConfig=function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)},t.className=\"RMSPropOptimizer\",t}(Optimizer);registerClass(RMSPropOptimizer);var OptimizerConstructors=function(){function e(){}return e.sgd=function(e){return new SGDOptimizer(e)},e.momentum=function(e,t,n){return void 0===n&&(n=!1),new MomentumOptimizer(e,t,n)},e.rmsprop=function(e,t,n,r,o){return void 0===t&&(t=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===o&&(o=!1),new RMSPropOptimizer(e,t,n,r,o)},e.adam=function(e,t,n,r){return void 0===e&&(e=.001),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new AdamOptimizer(e,t,n,r)},e.adadelta=function(e,t,n){return void 0===e&&(e=.001),void 0===t&&(t=.95),void 0===n&&(n=null),new AdadeltaOptimizer(e,t,n)},e.adamax=function(e,t,n,r,o){return void 0===e&&(e=.002),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===o&&(o=0),new AdamaxOptimizer(e,t,n,r,o)},e.adagrad=function(e,t){return void 0===t&&(t=.1),new AdagradOptimizer(e,t)},e}(),train={sgd:OptimizerConstructors.sgd,momentum:OptimizerConstructors.momentum,adadelta:OptimizerConstructors.adadelta,adagrad:OptimizerConstructors.adagrad,rmsprop:OptimizerConstructors.rmsprop,adamax:OptimizerConstructors.adamax,adam:OptimizerConstructors.adam},setBackend=Environment.setBackend,getBackend=Environment.getBackend,disposeVariables=Environment.disposeVariables,memory=Environment.memory;setOpHandler(ops);export{setBackend,getBackend,disposeVariables,memory,version as version_core,nextFrame,environment,io,serialization,test_util,util,webgl,AdadeltaOptimizer,AdagradOptimizer,AdamOptimizer,AdamaxOptimizer,MomentumOptimizer,Optimizer,RMSPropOptimizer,SGDOptimizer,Tensor,TensorBuffer,variable,Variable,Rank,Reduction,ENV,Environment,image_ops as image,linalg_ops as linalg,loss_ops as losses,op,batchNormalization2d,batchNormalization3d,batchNormalization4d,batchNormalization,complex,real,imag,concat,concat1d,concat2d,concat3d,concat4d,split$1 as split,conv1d,conv2d,depthwiseConv2d,separableConv2d,conv2dTranspose,matMul,dot,outerProduct,reverse,reverse1d,reverse2d,reverse3d,reverse4d,maxPool,avgPool,slice,slice1d,slice2d,slice3d,slice4d,abs,acos,acosh,asin,asinh,atan,atanh,ceil,clipByValue,cos,cosh,erf,exp,expm1,floor,log$1 as log,log1p,logSigmoid,neg,reciprocal,round,rsqrt,sigmoid,sign,sin,sinh,softplus,sqrt,square,step,tan,tanh$1 as tanh,all,any,argMax,argMin,logSumExp,max,mean,min,moments,sum,equal,equalStrict,greater,greaterEqual,greaterEqualStrict,greaterStrict,less,lessEqual,lessEqualStrict,lessStrict,notEqual,notEqualStrict,add,addN,addStrict,atan2,div,divStrict,floorDiv,maximum,maximumStrict,minimum,minimumStrict,mod,modStrict,mul,mulStrict,pow,powStrict,squaredDifference,squaredDifferenceStrict,sub,subStrict,elu,leakyRelu,prelu,relu,selu,logicalAnd,logicalNot,logicalOr,logicalXor,where,whereAsync,buffer,toPixels,print,batchToSpaceND,cast,clone,cumsum,depthToSpace,expandDims,eye,fromPixels,multinomial,oneHot,pad,pad1d,pad2d,pad3d,pad4d,rand,randomNormal,randomUniform,reshape,spaceToBatchND,squeeze,stack,tile,truncatedNormal,unstack,fill,linspace,ones$1 as ones,range,scalar,tensor,tensor1d,tensor2d,tensor3d,tensor4d,tensor5d,tensor6d,zeros,onesLike,zerosLike,transpose,softmax,localResponseNormalization,norm,gather,unsortedSegmentSum,basicLSTMCell,multiRNNCell,movingAverage,stridedSlice,topk,train,tidy,keep,dispose,time,profile,customGrad,grad,grads,valueAndGrad,valueAndGrads,variableGrads};\n//# sourceMappingURL=tf-core.esm.js.map\n","var global = require('./_global');\nvar core = require('./_core');\nvar hide = require('./_hide');\nvar redefine = require('./_redefine');\nvar ctx = require('./_ctx');\nvar PROTOTYPE = 'prototype';\n\nvar $export = function (type, name, source) {\n  var IS_FORCED = type & $export.F;\n  var IS_GLOBAL = type & $export.G;\n  var IS_STATIC = type & $export.S;\n  var IS_PROTO = type & $export.P;\n  var IS_BIND = type & $export.B;\n  var target = IS_GLOBAL ? global : IS_STATIC ? global[name] || (global[name] = {}) : (global[name] || {})[PROTOTYPE];\n  var exports = IS_GLOBAL ? core : core[name] || (core[name] = {});\n  var expProto = exports[PROTOTYPE] || (exports[PROTOTYPE] = {});\n  var key, own, out, exp;\n  if (IS_GLOBAL) source = name;\n  for (key in source) {\n    // contains in native\n    own = !IS_FORCED && target && target[key] !== undefined;\n    // export native or passed\n    out = (own ? target : source)[key];\n    // bind timers to global for call from export context\n    exp = IS_BIND && own ? ctx(out, global) : IS_PROTO && typeof out == 'function' ? ctx(Function.call, out) : out;\n    // extend global\n    if (target) redefine(target, key, out, type & $export.U);\n    // export\n    if (exports[key] != out) hide(exports, key, exp);\n    if (IS_PROTO && expProto[key] != out) expProto[key] = out;\n  }\n};\nglobal.core = core;\n// type bitmap\n$export.F = 1;   // forced\n$export.G = 2;   // global\n$export.S = 4;   // static\n$export.P = 8;   // proto\n$export.B = 16;  // bind\n$export.W = 32;  // wrap\n$export.U = 64;  // safe\n$export.R = 128; // real proto method for `library`\nmodule.exports = $export;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{ENV,keep,scalar,tidy,onesLike,tensor1d,util,where,zerosLike,train,cast,serialization,nextFrame,add,mul,div,Tensor,Optimizer,mean,io,transpose,reverse,concat,zeros,dispose,sum,neg,variable,ones,eye,randomUniform,truncatedNormal,randomNormal,sub,sqrt,mulStrict,clipByValue,relu,linalg,leakyRelu,elu,conv1d,conv2d,conv2dTranspose,separableConv2d,depthwiseConv2d,maximum,minimum,batchNormalization2d,batchNormalization3d,batchNormalization4d,moments,movingAverage,pad,maxPool,avgPool,squeeze,max,abs,log,softplus,softmax,floor,oneHot,exp,greater,equal,argMax,logicalAnd,slice1d,slice2d,slice3d,slice4d,concat1d,concat2d,concat3d,concat4d,tile,matMul,gather,step,min,selu,sigmoid,tanh}from\"@tensorflow/tfjs-core\";var extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}var __assign=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e};function __awaiter(e,t,n,r){return new(n||(n=Promise))(function(i,a){function o(e){try{l(r.next(e))}catch(e){a(e)}}function s(e){try{l(r.throw(e))}catch(e){a(e)}}function l(e){e.done?i(e.value):new n(function(t){t(e.value)}).then(o,s)}l((r=r.apply(e,t||[])).next())})}function __generator(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;o;)try{if(n=1,r&&(i=r[2&a[0]?\"return\":a[0]?\"throw\":\"next\"])&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[0,i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var _epsilon=ENV.get(\"EPSILON\");function epsilon(){return _epsilon}function imageDataFormat(){return\"channelsLast\"}var _nextUniqueTensorId=0;function getNextUniqueTensorId(){return _nextUniqueTensorId++}var _uidPrefixes={};function getUid(e){return void 0===e&&(e=\"\"),e in _uidPrefixes||(_uidPrefixes[e]=0),_uidPrefixes[e]+=1,e+_uidPrefixes[e].toString()}var scalarCache={float32:{},int32:{}},DEFAULT_DTYPE=\"float32\";function getScalar(e,t){return void 0===t&&(t=DEFAULT_DTYPE),null==scalarCache[t][e]&&(scalarCache[t][e]=scalar(e,t),keep(scalarCache[t][e])),scalarCache[t][e]}var AttributeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),RuntimeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),ValueError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),NotImplementedError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),AssertionError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),IndexError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error);function pyListRepeat(e,t){if(Array.isArray(e)){for(var n=[],r=0;r<t;r++)n=n.concat(e);return n}return(n=new Array(t)).fill(e),n}function assert(e,t){if(!e)throw new AssertionError(t)}function count(e,t){for(var n=0,r=0,i=e;r<i.length;r++){i[r]===t&&n++}return n}function singletonOrArray(e){return 1===e.length?e[0]:e}function toList(e){return Array.isArray(e)?e:[e]}function toSnakeCase(e){var t=e.replace(/(.)([A-Z][a-z0-9]+)/g,\"$1_$2\").replace(/([a-z])([A-Z])/g,\"$1_$2\").toLowerCase();return\"_\"!==t[0]?t:\"private\"+t}function toCamelCase(e){return e.length<=1?e:-1===e.indexOf(\"_\")?e:e.replace(/[_]+(\\w|$)/g,function(e,t){return t.toUpperCase()})}var _GLOBAL_CUSTOM_OBJECTS={};function serializeKerasObject(e){return null===e||void 0===e?null:{className:e.getClassName(),config:e.getConfig()}}function deserializeKerasObject(e,t,n,r){if(void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r=\"object\"),\"string\"==typeof e){var i=e,a=void 0;if(i in n)a=n[i];else if(i in _GLOBAL_CUSTOM_OBJECTS)a=_GLOBAL_CUSTOM_OBJECTS[i];else if(null==(a=t[i]))throw new ValueError(\"Unknown \"+r+\": \"+e+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");return a}var o=e;if(null==o.className||null==o.config)throw new ValueError(r+\": Improper config format: \"+JSON.stringify(o)+\".\\n'className' and 'config' must set.\");var s=o.className,l=void 0,u=void 0;if(s in n?(l=(S=n.get(s))[0],u=S[1]):s in _GLOBAL_CUSTOM_OBJECTS?(l=(A=_GLOBAL_CUSTOM_OBJECTS.className)[0],u=A[1]):s in t&&(l=(I=t[s])[0],u=I[1]),null==l)throw new ValueError(\"Unknown \"+r+\": \"+s+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");if(null!=u){for(var c={},p=0,h=Object.keys(_GLOBAL_CUSTOM_OBJECTS);p<h.length;p++){c[v=h[p]]=_GLOBAL_CUSTOM_OBJECTS[v]}for(var d=0,g=Object.keys(n);d<g.length;d++){c[v=g[d]]=n[v]}o.config.customObjects=c;for(var f=__assign({},_GLOBAL_CUSTOM_OBJECTS),m=0,y=Object.keys(n);m<y.length;m++){var v=y[m];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var b=u(l,o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},f),b}f=__assign({},_GLOBAL_CUSTOM_OBJECTS);for(var w=0,z=Object.keys(n);w<z.length;w++){v=z[w];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var S,A,I;b=new l(o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},f),b}function numberCompare(e,t){return e<t?-1:e>t?1:0}function reverseNumberCompare(e,t){return-1*numberCompare(e,t)}function stringToDType(e){switch(e){case\"float32\":return\"float32\";default:throw new ValueError(\"Invalid dtype: \"+e)}}function unique(e){if(null==e)return e;for(var t=[],n=0,r=e;n<r.length;n++){var i=r[n];-1===t.indexOf(i)&&t.push(i)}return t}function isObjectEmpty(e){if(null==e)throw new ValueError(\"Invalid value in obj: \"+JSON.stringify(e));for(var t in e)if(e.hasOwnProperty(t))return!1;return!0}function checkStringTypeUnionValue(e,t,n){if(null!=n&&e.indexOf(n)<0)throw new ValueError(n+\" is not a valid \"+t+\".  Valid values are \"+e+\" or null/undefined.\")}function checkArrayTypeAndLength(e,t,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),assert(n>=0),assert(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(function(e){return typeof e===t})}function calcL2Norms(e,t){return tidy(function(){return sqrt(sum(mulStrict(e,e),t,!0))})}var Constraint=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),MaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=clipByValue(n,0,t.maxValue);return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t.className=\"MaxNorm\",t}(Constraint);serialization.registerClass(MaxNorm);var UnitNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultAxis=0,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){return div(e,add(getScalar(epsilon()),calcL2Norms(e,t.axis)))})},t.prototype.getConfig=function(){return{axis:this.axis}},t.className=\"UnitNorm\",t}(Constraint);serialization.registerClass(UnitNorm);var NonNeg=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"NonNeg\",t}(Constraint);serialization.registerClass(NonNeg);var MinMaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=add(mul(getScalar(t.rate),clipByValue(n,t.minValue,t.maxValue)),mul(getScalar(1-t.rate),n));return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t.className=\"MinMaxNorm\",t}(Constraint);serialization.registerClass(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function serializeConstraint(e){return serializeKerasObject(e)}function deserializeConstraint(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"constraint\")}function getConstraint(e){return null==e?null:\"string\"==typeof e?deserializeConstraint({className:e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP?CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Constraint?e:deserializeConstraint(e)}function maxNorm(e){return new MaxNorm(e)}function unitNorm(e){return new UnitNorm(e)}function nonNeg(){return new NonNeg}function minMaxNorm(e){return new MinMaxNorm(e)}var exports_constraints=Object.freeze({maxNorm:maxNorm,unitNorm:unitNorm,nonNeg:nonNeg,minMaxNorm:minMaxNorm}),nameMap=new Map,VALID_DATA_FORMAT_VALUES=[\"channelsFirst\",\"channelsLast\"];function checkDataFormat(e){checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES,\"DataFormat\",e)}var VALID_PADDING_MODE_VALUES=[\"valid\",\"same\",\"causal\"];function checkPaddingMode(e){checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES,\"PaddingMode\",e)}var VALID_POOL_MODE_VALUES=[\"max\",\"avg\"];function checkPoolMode(e){checkStringTypeUnionValue(VALID_POOL_MODE_VALUES,\"PoolMode\",e)}var _nameScopeStack=[],_nameScopeDivider=\"/\";function nameScope(e,t){_nameScopeStack.push(e);try{var n=t();return _nameScopeStack.pop(),n}catch(e){throw _nameScopeStack.pop(),e}}function currentNameScopePrefix(){return 0===_nameScopeStack.length?\"\":_nameScopeStack.join(_nameScopeDivider)+_nameScopeDivider}function getScopedTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");return currentNameScopePrefix()+e}function getUniqueTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");nameMap.has(e)||nameMap.set(e,0);var t=nameMap.get(e);if(nameMap.set(e,nameMap.get(e)+1),t>0){var n=e+\"_\"+t;return nameMap.set(n,1),n}return e}var tensorNameRegex=new RegExp(/^[A-Za-z][A-Za-z0-9\\._\\/]*$/);function isValidTensorName(e){return!!e.match(tensorNameRegex)}function isInteger(e){return e===parseInt(e.toString(),10)}function arrayProd(e,t,n){null==t&&(t=0),null==n&&(n=e.length);for(var r=1,i=t;i<n;++i)r*=e[i];return r}function toArray1D(e){return e=Array.isArray(e)?new Float32Array(e):e,tensor1d(e)}function min$1(e){return min(toArray1D(e)).dataSync()[0]}function max$1(e){return max(toArray1D(e)).dataSync()[0]}function range(e,t){if(t<e)throw new ValueError(\"end (\"+t+\") < begin (\"+e+\") is forbidden.\");for(var n=[],r=e;r<t;++r)n.push(r);return n}function cast$1(e,t){return e.asType(t)}function expandDims(e,t){void 0===t&&(t=-1);var n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),e.reshape(n)}function repeat(e,t){return tidy(function(){if(2!==e.shape.length)throw new ValueError(\"repeat() expects a rank-2 tensor, but received a rank-\"+e.shape.length+\" tensor.\");return tile$1(expandDims(e,1),[1,t,1])})}function flatten(e){var t=[arrayProd(e.shape)];return e.reshape(t)}function batchFlatten(e){if(e.rank<=1)throw new ValueError(\"batchFlatten requires a minimum rank of 2. Got rank: \"+e.rank+\".\");var t=[e.shape[0],arrayProd(e.shape,1)];return e.reshape(t)}function sliceAlongFirstAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[t,0],[n,e.shape[1]]);case 3:return slice3d(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return slice4d(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);default:throw new ValueError(\"sliceAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongLastAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[0,t],[e.shape[0],n]);case 3:return slice3d(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return slice4d(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongAxis(e,t,n,r){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 3:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice3d(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 4:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice4d(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return slice4d(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function concatenate(e,t){var n;return void 0===t&&(t=-1),t<0&&(t=0!==(n=e[0].rank)?n:0),t===e[0].rank&&(t=-1),concat(e,t)}function concatAlongFirstAxis(e,t){switch(e.rank){case 1:return concat1d([e,t]);case 2:return concat2d([e,t],0);case 3:return concat3d([e,t],0);case 4:return concat4d([e,t],0);default:throw new ValueError(\"concatAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}}function tile$1(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new ValueError(\"The length of input n (\"+t.length+\") does not match the number of dimensions in input x (\"+e.rank+\")\");return tile(e,t)}function randomNormal$1(e,t,n,r,i){return void 0===t&&(t=0),void 0===n&&(n=1),randomNormal(e,t,n,r,i)}function dot(e,t){if(e.rank<2||t.rank<2)throw new NotImplementedError(\"dot requires both inputs to be rank >= 2 but got x shape = \"+e.shape+\" and y shape = \"+t.shape);if(t.rank>=3&&(r=e.shape.slice(-1)[0])!==(o=t.shape.slice(-2)[0]))throw new NotImplementedError(\"If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = \"+e.shape+\" and  y shape = \"+t.shape);if(2===e.rank&&2===t.rank)return matMul(e,t);var n=e.shape.slice(),r=n.pop();e=e.reshape([-1,r]);var i=t.shape.slice(),a=i.pop(),o=i.pop(),s=i.concat([a]),l=Array.from({length:t.rank},function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n});t=t.transpose(l).reshape([o,-1]);var u=n.concat(s);return matMul(e,t).reshape(u)}function gather$1(e,t,n){return tidy(function(){return t=Array.isArray(t)?tensor1d(t,\"int32\"):t.toInt(),gather(e,t,n)})}function square(e){return mulStrict(e,e)}function biasAdd(e,t,n){return tidy(function(){if(null==n&&(n=imageDataFormat()),checkDataFormat(n),1!==t.rank&&t.rank!==e.rank)throw new ValueError(\"Unexpected bias dimensions: \"+t.rank+\"; expected it to be 1 or \"+e.rank);var r,i=t.shape;if(5===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1,1])):e.add(t.reshape([1,i[3],i[0],i[1],i[2]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(4===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1])):e.add(t.reshape([1,i[2],i[0],i[1]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(3===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1])):e.add(t.reshape([1,i[1],i[0]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,i[0]])):e.add(t.reshape([1].concat(i))));else{if(!(e.rank<3))throw new ValueError(\"Unsupported input rank by biasAdd: \"+e.rank);r=e.add(t)}return r})}function elu$1(e,t){if(void 0===t&&(t=1),1!==t)throw new NotImplementedError(\"Support for alpha values other than 1 (\"+t+\") is not implemented yet.\");return elu(e)}function softsign(e){return tidy(function(){return div(e,add(getScalar(1),abs(e)))})}function dropout(e,t,n,r){return tidy(function(){if(null!=n&&!util.arraysEqual(e.shape,n))throw new NotImplementedError(\"Non-default noise shape is not implemented yet: \"+JSON.stringify(n));if(null!=r)throw new NotImplementedError(\"seed is not implemented for dropout yet.\");var i=step(add(neg(t),randomUniform(e.shape,0,1,\"float32\")));return i=mul(div(getScalar(1),sub(getScalar(1),t)),i),mul(e,i)})}function hardSigmoid(e){return tidy(function(){var t=add(getScalar(.5),mul(getScalar(.2),e));return clipByValue(t,0,1)})}function inTrainPhase(e,t,n){return void 0===n&&(n=!1),n?e():t()}var VALID_FAN_MODE_VALUES=[\"fanIn\",\"fanOut\",\"fanAvg\"];function checkFanMode(e){checkStringTypeUnionValue(VALID_FAN_MODE_VALUES,\"FanMode\",e)}var VALID_DISTRIBUTION_VALUES=[\"normal\",\"uniform\"];function checkDistribution(e){checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES,\"Distribution\",e)}var Initializer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.fromConfigUsesCustomObjects=function(){return!1},t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Zeros=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return zeros(e,t)},t.className=\"Zeros\",t}(Initializer);serialization.registerClass(Zeros);var Ones=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return ones(e,t)},t.className=\"Ones\",t}(Initializer);serialization.registerClass(Ones);var Constant=function(e){function t(t){var n=e.call(this)||this;if(\"object\"!=typeof t)throw new ValueError(\"Expected argument of type ConstantConfig but got \"+t);if(void 0===t.value)throw new ValueError(\"config must have value set but got \"+t);return n.value=t.value,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){return mul(scalar(n.value),ones(e,t))})},t.prototype.getConfig=function(){return{value:this.value}},t.className=\"Constant\",t}(Initializer);serialization.registerClass(Constant);var RandomUniform=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=t.minval||n.DEFAULT_MINVAL,n.maxval=t.maxval||n.DEFAULT_MAXVAL,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){return randomUniform(e,this.minval,this.maxval,t)},t.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t.className=\"RandomUniform\",t}(Initializer);serialization.registerClass(RandomUniform);var RandomNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"randomNormal does not support dType \"+t+\".\");return randomNormal$1(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"RandomNormal\",t}(Initializer);serialization.registerClass(RandomNormal);var TruncatedNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"truncatedNormal does not support dType \"+t+\".\");return truncatedNormal(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"TruncatedNormal\",t}(Initializer);serialization.registerClass(TruncatedNormal);var Identity=function(e){function t(t){var n=e.call(this)||this;return n.gain=null!=t.gain?scalar(t.gain):getScalar(1),n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length||e[0]!==e[1])throw new ValueError(\"Identity matrix initializer can only be used for 2D square matrices.\");return mul(n.gain,eye(e[0]))})},t.prototype.getConfig=function(){return{gain:this.gain.get()}},t.className=\"Identity\",t}(Initializer);function computeFans(e,t){var n,r;if(void 0===t&&(t=\"channelsLast\"),checkDataFormat(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if(\"channelsFirst\"===t){var i=arrayProd(e,2);n=e[1]*i,r=e[0]*i}else if(\"channelsLast\"===t){i=arrayProd(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var a=arrayProd(e);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}serialization.registerClass(Identity);var VarianceScaling=function(e){function t(t){var n=e.call(this)||this;if(t.scale<0)throw new ValueError(\"scale must be a positive float. Got: \"+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=t.mode,checkFanMode(n.mode),n.distribution=t.distribution,checkDistribution(n.distribution),n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=computeFans(e),r=n[0],i=n[1],a=this.scale;if(\"fanIn\"===this.mode?a/=Math.max(1,r):\"fanOut\"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),\"normal\"===this.distribution){var o=Math.sqrt(a);if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(this.getClassName()+\" does not support dType \"+t+\".\");return truncatedNormal(e,0,o,t,this.seed)}var s=Math.sqrt(3*a);return randomUniform(e,-s,s,t)},t.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t.className=\"VarianceScaling\",t}(Initializer);serialization.registerClass(VarianceScaling);var GlorotUniform=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),GlorotNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),HeNormal=function(e){function t(t){return e.call(this,{scale:2,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),LeCunNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),Orthogonal=function(e){function t(t){var n=e.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Random seed is not implemented for Orthogonal Initializer yet.\");return n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length)throw new NotImplementedError(\"The Orthogonal Initializer does not support non-2D shapes yet.\");e[0]*e[1]>2e3&&console.warn(\"Orthogonal initializer is being called on a matrix with more than 2000 (\"+e[0]*e[1]+\") elements: Slowness may result.\");var t=randomNormal$1(e[0]>e[1]?[e[1],e[0]]:e,0,1,\"float32\"),r=linalg.gramSchmidt(t);return e[0]>e[1]&&(r=r.transpose()),mul(getScalar(n.gain),r)})},t.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},t.className=\"Orthogonal\",t}(Initializer);serialization.registerClass(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function deserializeInitializer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"initializer\")}function serializeInitializer(e){return serializeKerasObject(e)}function getInitializer(e){if(\"string\"==typeof e){var t=e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e;return\"GlorotUniform\"===t?new GlorotUniform:\"GlorotNormal\"===t?new GlorotNormal:\"HeNormal\"===t?new HeNormal:\"LeCunNormal\"===t?new LeCunNormal:deserializeInitializer({className:t,config:{}})}return e instanceof Initializer?e:deserializeInitializer(e)}function zeros$1(){return new Zeros}function ones$1(){return new Ones}function constant(e){return new Constant(e)}function randomUniform$1(e){return new RandomUniform(e)}function randomNormal$2(e){return new RandomNormal(e)}function truncatedNormal$1(e){return new TruncatedNormal(e)}function identity(e){return new Identity(e)}function varianceScaling(e){return new VarianceScaling(e)}function glorotUniform(e){return new GlorotUniform(e)}function glorotNormal(e){return new GlorotNormal(e)}function heNormal(e){return new HeNormal(e)}function leCunNormal(e){return new LeCunNormal(e)}function orthogonal(e){return new Orthogonal(e)}var exports_initializers=Object.freeze({zeros:zeros$1,ones:ones$1,constant:constant,randomUniform:randomUniform$1,randomNormal:randomNormal$2,truncatedNormal:truncatedNormal$1,identity:identity,varianceScaling:varianceScaling,glorotUniform:glorotUniform,glorotNormal:glorotNormal,heNormal:heNormal,leCunNormal:leCunNormal,orthogonal:orthogonal});function isArrayOfShapes(e){return Array.isArray(e)&&Array.isArray(e[0])}function normalizeShapeList(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function getExactlyOneTensor(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new ValueError(\"Expected Tensor length to be 1; got \"+e.length);t=e[0]}else t=e;return t}function getExactlyOneShape(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new ValueError(\"Expected exactly 1 Shape; got \"+e.length)}return e}function countParamsInWeights(e){for(var t=0,n=0,r=e;n<r.length;n++){var i=r[n];0===i.shape.length?t+=1:t+=i.shape.reduce(function(e,t){return e*t})}return t}var DEFAULT_VARIABLE_NAME_PREFIX=\"Variable\",LayerVariable=function(){function e(e,t,n,r,i){void 0===t&&(t=\"float32\"),void 0===n&&(n=DEFAULT_VARIABLE_NAME_PREFIX),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==t?\"float32\":t,this.shape=e.shape,this.id=getNextUniqueTensorId(),n=null==n?DEFAULT_VARIABLE_NAME_PREFIX:n,this.originalName=getScopedTensorName(n),this.name=getUniqueTensorName(this.originalName),this.trainable=r,this.constraint=i,this.val=variable(e,this.trainable,this.name,this.dtype)}return e.prototype.read=function(){return this.assertNotDisposed(),this.val},e.prototype.write=function(e){return this.assertNotDisposed(),checkShapesMatch(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},e.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},e.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error(\"LayersVariable \"+this.name+\" is already disposed.\")},e}();function checkShapesMatch(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(e.shape)+\" vs. \"+JSON.stringify(t.shape))}function batchGetValue(e){return e.map(function(e){return e.read()})}function batchSetValue(e){e.map(function(e){e[0].write(e[1])})}var InputSpec=function(){return function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}(),SymbolicTensor=function(){return function(e,t,n,r,i,a,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=o,this.id=getNextUniqueTensorId(),null!=a&&(this.originalName=getScopedTensorName(a),this.name=getUniqueTensorName(this.originalName)),this.rank=t.length}}(),_nextNodeID=0,Node=function(){function e(e,t){this.callArgs=t,this.id=_nextNodeID++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n=0,r=e.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e=[],t=0,n=this.inboundLayers;t<n.length;t++){var r=n[t];null!=r?e.push(r.name):e.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),_nextLayerID=0,Layer=function(e){function t(t){var n=e.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=_nextLayerID++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var i=n.getClassName();r=toSnakeCase(i)+\"_\"+getUid(i)}if(n.name=r,n.trainable=null==t.trainable||t.trainable,n.updatable=null==t.updatable||t.updatable,null!=t.inputShape||null!=t.batchInputShape){var a=void 0;if(null!=t.batchInputShape)a=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),a=[o].concat(t.inputShape)}n.batchInputShape=a;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s=\"float32\"),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n}return __extends(t,e),t.nodeKey=function(e,t){return e.name+\"_ib-\"+t.toString()},t.prototype.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new RuntimeError(\"The layer has never been called and thus has no defined \"+t+\".\");if(this.inboundNodes.length<=e)throw new ValueError(\"Asked to get \"+t+\" at node \"+e+\", but the layer has only \"+this.inboundNodes.length+\" inbound nodes.\");return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"input\").inputTensors)},t.prototype.getOutputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"output\").outputTensors)},Object.defineProperty(t.prototype,\"input\",{get:function(){if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" is not connected, no input to return.\");return singletonOrArray(this.getNodeAtIndex(0,\"input\").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"output\",{get:function(){if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" has no inbound nodes.\");if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0,\"output\").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map(function(e){return e()})},Object.defineProperty(t.prototype,\"updates\",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"built\",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this._trainableWeights:[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this._nonTrainableWeights:this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"stateful\",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")},t.prototype.assertInputCompatibility=function(e){if(e=toList(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=toList(this.inputSpec);if(e.length!==t.length)throw new ValueError(\"Layer \"+this.name+\" expects \"+t.length+\" inputs, but it received \"+e.length+\" input tensors. Input received: \"+e);for(var n=0;n<e.length;n++){var r=e[n],i=t[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected ndim=\"+i.ndim+\", found ndim=\"+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected max_ndim=\"+i.maxNDim+\", found ndim=\"+a);if(null!=i.minNDim&&a<i.minNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected min_ndim=\"+i.minNDim+\", found ndim=\"+a+\".\");if(null!=i.dtype&&r.dtype!==i.dtype)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\" : expected dtype=\"+i.dtype+\", found dtype=\"+r.dtype+\".\");if(i.axes){var o=r.shape;for(var s in i.axes){var l=Number(s),u=i.axes[s],c=l>=0?o[l]:o[o.length+l];if(null!=u&&-1===[u,null].indexOf(c))throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected axis \"+l+\" of input shape to have value \"+u+\" but got shape \"+o+\".\")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],d=r.shape[p];if(null!=h&&null!=d&&h!==d)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected shape=\"+i.shape+\", found shape=${xShape}.\")}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r=toList(e),i=!0,a=0,o=r;a<o.length;a++){if(!(o[a]instanceof SymbolicTensor)){i=!1;break}}for(var s=!0,l=0,u=r;l<u.length;l++){if(u[l]instanceof SymbolicTensor){s=!1;break}}if(i===s)throw new ValueError(\"Arguments to apply() must be all SymbolicTensors or all Tensors\");return nameScope(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var i=[],a=0,o=toList(e);a<o.length;a++){var l=o[a];i.push(l.shape)}n.build(singletonOrArray(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(e),s){for(var u=[],c=0,p=toList(f=n.call(e,t));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),u.push(h)}if(f=singletonOrArray(u),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f}var d=collectInputShape(e),g=n.computeOutputShape(d),f=void 0,m=guessOutputDType(e);if(n.warnOnIncompatibleInputShape(Array.isArray(e)?d[0]:d),f=null!=g&&g.length>0&&Array.isArray(g[0])?g.map(function(r,i){return new SymbolicTensor(m,r,n,toList(e),t,n.name,i)}):new SymbolicTensor(m,g,n,toList(e),t,n.name),n.addInboundNode(e,f,null,null,d,g,t),n._refCount++,null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f})},t.prototype.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn(\"The rank of the input tensor provided (shape: \"+JSON.stringify(e)+\") does not match that of the batchInputShape (\"+JSON.stringify(this.batchInputShape)+\") of the layer \"+this.name);else{var t=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)}),t&&console.warn(\"The shape of the input tensor (\"+JSON.stringify(e)+\") does not match the expectation of layer \"+this.name+\": \"+JSON.stringify(this.batchInputShape))}},Object.defineProperty(t.prototype,\"outputShape\",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new AttributeError(\"The layer \"+this.name+\" has never been called and thus has no defined output shape.\");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],i=JSON.stringify(r.outputShapes);-1===e.indexOf(i)&&e.push(i)}if(1===e.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new AttributeError(\"The layer \"+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of \"outut shape\" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new RuntimeError(\"You tried to call countParams() on \"+this.name+\", but the layer is not built yet. Build it first by calling build(batchInputShape).\");return countParamsInWeights(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),batchGetValue(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;tidy(function(){var n=t.weights;if(n.length!==e.length)throw new ValueError('You called setWeights(weights) on layer \"'+t.name+'\" with a weight list of length '+e.length+\", but the layer was expecting \"+n.length+\" weights. Provided weights: \"+e+\"...\");if(0!==n.length){for(var r=[],i=batchGetValue(n),a=0;a<i.length;++a){var o=i[a],s=n[a],l=e[a];if(!util.arraysEqual(o.shape,l.shape))throw new ValueError(\"Layer weight shape \"+o.shape+\" not compatible with provided weight shape \"+l.shape);r.push([s,l])}batchSetValue(r)}})},t.prototype.addWeight=function(e,t,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(e))throw new ValueError(\"Duplicate weight name \"+e+\" for layer \"+this.name);this._addedWeightNames.push(e),null==n&&(n=\"float32\");var s=new LayerVariable(r.apply(t,n),n,e,a,o);return null!=i&&this.addLoss(function(){return i.apply(s.read())}),null==a&&(a=!0),a?this._trainableWeights.push(s):this._nonTrainableWeights.push(s),s},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=toList(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError(\"Layer \"+this.name+\" does not support masking,but was passed an inputMask.\");t.forEach(function(e){if(null!=e)throw new TypeError(\"Layer \"+n.name+\" does not support masking,but was passed an inputMask.\")})}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,i,a,o){void 0===o&&(o=null);var s=toList(e);t=toList(t),n=toList(n),r=toList(r),i=normalizeShapeList(i),a=normalizeShapeList(a);for(var l=[],u=[],c=[],p=0,h=s;p<h.length;p++){var d=h[p];l.push(d.sourceLayer),u.push(d.nodeIndex),c.push(d.tensorIndex)}new Node({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var g=0;g<t.length;g++)t[g].sourceLayer=this,t[g].nodeIndex=this.inboundNodes.length-1,t[g].tensorIndex=g},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},t.prototype.disposeWeights=function(){return this.weights.forEach(function(e){return e.dispose()}),this.weights.length},t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Layer '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){if(!this.built)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been built yet.\");if(null===this._refCount)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been used yet.\");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},t}(serialization.Serializable);function collectInputShape(e){for(var t=[],n=0,r=e=toList(e);n<r.length;n++){var i=r[n];t.push(i.shape)}return singletonOrArray(t)}function guessOutputDType(e){return\"float32\"}function getSourceInputs(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var o=0,s=getSourceInputs(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);o<s.length;o++){var l=s[o];-1===i.indexOf(l)&&i.push(l)}return i}var InputLayer=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:getUid(\"input\").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new ValueError(\"Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.\");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new ValueError(\"An InputLayer should be passed either a `batchInputShape` or an `inputShape`.\");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new ValueError(\"Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.\");var i=t.dtype||\"float32\";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new SymbolicTensor(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Node({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return __extends(t,e),t.prototype.apply=function(e,t){throw new ValueError(\"Cannot pass any input to an InputLayer's apply() method. InputLayer name: \"+this.name)},t.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className=\"InputLayer\",t}(Layer);function Input(e){if(null==e.batchShape&&null==e.shape)throw new Error(\"Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.\");if(null!=e.batchShape&&null!=e.shape)throw new ValueError(\"Please provide either a `shape` or `batchShape` argument to Input, but not both.\");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n=\"float32\"),new InputLayer({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}function resolveScalarsInLogs(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:if(null==e)return[2];for(i in t=[],n=[],r=[],e)\"number\"!=typeof(a=e[i])&&(o=a,t.push(o.data()),n.push(i),r.push(o));return[4,Promise.all(t)];case 1:for(s=u.sent(),l=0;l<s.length;++l)e[n[l]]=s[l][0];return dispose(r),[2]}})})}function disposeTensorsInLogs(e){if(null!=e)for(var t in e){var n=e[t];\"number\"!=typeof n&&n.dispose()}}serialization.registerClass(InputLayer);var BaseCallback=function(){function e(){this.validationData=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.setModel=function(e){},e}(),CallbackList=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}return e.prototype.append=function(e){this.callbacks.push(e)},e.prototype.setParams=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setParams(e)}},e.prototype.setModel=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setModel(e)}},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainEnd(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e}(),ModelTrainingYielder=function(){function e(e){this.yieldEvery=e,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=util.now()}return e.prototype.resolveOneTensorInLogs=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a;return __generator(this,function(o){switch(o.label){case 0:for(n in t=[],e)t.push(n);r=0,o.label=1;case 1:return r<t.length?(i=t[r],\"number\"==typeof(a=e[i])?[3,3]:[4,a.data()]):[3,4];case 2:return o.sent(),[3,4];case 3:return r++,[3,1];case 4:return[2]}})})},e.prototype.maybeYieldOnBatch=function(t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:return\"auto\"!==this.yieldEvery?[3,7]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,3]:[4,this.resolveOneTensorInLogs(t)]);case 1:return i.sent(),n=util.now(),[4,nextFrame()];case 2:return i.sent(),this.batchCount>e.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(n-this.batchStartMillis),this.batchDurationsMillis.length>=e.DECISION_BATCH_COUNT&&(r=this.batchDurationsMillis.reduce(function(e,t){return e+t})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(e.THRESHOLD_MILLIS/r),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=util.now(),this.lastYieldBatchCount=this.batchCount,[3,6];case 3:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,nextFrame()]:[3,6];case 4:return i.sent(),[4,this.resolveOneTensorInLogs(t)];case 5:i.sent(),this.lastYieldBatchCount=this.batchCount,i.label=6;case 6:return[3,9];case 7:return\"batch\"!==this.yieldEvery?[3,9]:[4,nextFrame()];case 8:i.sent(),i.label=9;case 9:return[2]}})})},e.prototype.maybeYieldOnEpoch=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){switch(e.label){case 0:return\"epoch\"!==this.yieldEvery?[3,2]:[4,nextFrame()];case 1:e.sent(),e.label=2;case 2:return[2]}})})},e.SKIP_FIRST_BATCHES=1,e.DECISION_BATCH_COUNT=2,e.THRESHOLD_MILLIS=16,e}(),BaseLogger=function(e){function t(t){var n=e.call(this)||this;return n.yieldEvery=t||\"auto\",n}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.autoYielder=new ModelTrainingYielder(this.yieldEvery),[2]})})},t.prototype.onEpochBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a=this;return __generator(this,function(o){switch(o.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(t)];case 1:for(i in o.sent(),null==t&&(t={}),e=null==t.size?0:t.size,this.seen+=e,n=function(n){var i=t[n];if(\"number\"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*e;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=getScalar(0),r.totals[n]=tidy(function(){return add(a.totals[n],mul(i,getScalar(e)))}),null!=o&&o.dispose()}},r=this,t)n(i);return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a,o=this;return __generator(this,function(s){switch(s.label){case 0:return[4,this.autoYielder.maybeYieldOnEpoch()];case 1:if(s.sent(),null!=t)for(e=function(e){if(null==n.totals[e])return\"continue\";\"number\"==typeof n.totals[e]?t[e]=n.totals[e]/n.seen:tidy(function(){t[e]=mul(div(getScalar(1),getScalar(o.seen)),o.totals[e]),o.totals[e].dispose(),keep(t[e])})},n=this,r=0,i=this.params.metrics;r<i.length;r++)a=i[r],e(a);return[2]}})})},t}(BaseCallback),History=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.epoch=[],this.history={},[2]})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){for(n in null==t&&(t={}),this.epoch.push(e),t)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(t[n]);return[2]})})},t.prototype.syncData=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:for(r in e=[],t=[],n=[],this.history)for(i=this.history[r],a=0;a<i.length;++a)\"number\"!=typeof i[a]&&(o=i[a],e.push(o.data()),t.push(r),n.push(a));return[4,Promise.all(e)];case 1:for(s=u.sent(),l=0;l<s.length;++l)this.history[t[l]][n[l]].dispose(),this.history[t[l]][n[l]]=s[l][0];return[2]}})})},t}(BaseCallback),CustomCallback=function(e){function t(t){var n=e.call(this)||this;return n.trainBegin=t.onTrainBegin,n.trainEnd=t.onTrainEnd,n.epochBegin=t.onEpochBegin,n.epochEnd=t.onEpochEnd,n.batchBegin=t.onBatchBegin,n.batchEnd=t.onBatchEnd,n}return __extends(t,e),t.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainBegin?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainBegin(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainEnd?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainEnd(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t}(BaseCallback);function standardizeCallbacks(e){return null==e?null:e instanceof BaseCallback?[e]:Array.isArray(e)&&e[0]instanceof BaseCallback?e:toList(e).map(function(e){return new CustomCallback(e)})}var CallbackConstructorRegistry=function(){function e(){}return e.registerCallbackConstructor=function(t,n){util.assert(t>=0&&Number.isInteger(t),\"Verbosity level is expected to be an integer >= 0, but got \"+t),e.checkForDuplicate(n),null==e.constructors[t]&&(e.constructors[t]=[]),e.constructors[t].push(n)},e.checkForDuplicate=function(t){for(var n in e.constructors){e.constructors[+n].forEach(function(e){if(e===t)throw new ValueError(\"Duplicate callback constructor.\")})}},e.clear=function(){e.constructors={}},e.createCallbacks=function(t){var n=[];for(var r in e.constructors){var i=+r;t>=i&&n.push.apply(n,e.constructors[i])}return n.map(function(e){return new e})},e}();function l2Normalize(e,t){return tidy(function(){var n=sum(square(e),t,!0),r=mul(scalar(epsilon()),onesLike(e)),i=sqrt(maximum(n,r));return div(e,i)})}function meanSquaredError(e,t){return tidy(function(){return mean(square(sub(t,e)),-1)})}function meanAbsoluteError(e,t){return tidy(function(){return mean(abs(sub(t,e)),-1)})}function meanAbsolutePercentageError(e,t){return tidy(function(){var n=sub(e,t),r=clipByValue(abs(e),epsilon(),Number.MAX_VALUE),i=abs(div(n,r));return mul(getScalar(100),mean(i,-1))})}function meanSquaredLogarithmicError(e,t){return tidy(function(){var n=getScalar(1),r=clipByValue(t,epsilon(),Number.MAX_VALUE),i=log(add(n,r)),a=clipByValue(e,epsilon(),Number.MAX_VALUE),o=log(add(n,a));return mean(square(sub(i,o)),-1)})}function squaredHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(square(i),-1)})}function hinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(i,-1)})}function categoricalHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=sum(mul(e,t),-1),a=max(mul(sub(r,e),t),-1);return maximum(n,add(r,sub(a,i)))})}function logcosh(e,t){return tidy(function(){var n=getScalar(Math.log(2)),r=sub(t,e),i=sub(add(r,softplus(mul(getScalar(-2),r))),n);return mean(i,-1)})}function categoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){if(n)t=softmax(t);else{var r=sum(t,t.shape.length-1,!0);t=div(t,r)}return t=clipByValue(t,epsilon(),1-epsilon()),neg(sum(mul(e.toFloat(),log(t)),t.shape.length-1))})}function sparseCategoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){var r=floor(flatten(e)).toInt(),i=t.shape;return categoricalCrossentropy(oneHot(r,i[i.length-1]).reshape(i),t,n)})}function sigmoidCrossEntropyWithLogits(e,t){return tidy(function(){var n=maximum(t,zerosLike(t)),r=mul(t,e),i=log(add(getScalar(1),exp(neg(abs(t)))));return add(sub(n,r),i)})}function binaryCrossentropy(e,t){return tidy(function(){var n;return n=clipByValue(t,epsilon(),1-epsilon()),n=log(div(n,sub(onesLike(n),n))),mean(sigmoidCrossEntropyWithLogits(e,n),-1)})}function kullbackLeiblerDivergence(e,t){return tidy(function(){var n=clipByValue(e,epsilon(),1),r=clipByValue(t,epsilon(),1);return sum(mul(e,log(div(n,r))),-1)})}function poisson(e,t){return tidy(function(){var n=log(add(getScalar(epsilon()),t));return mean(sub(t,mul(e,n)),-1)})}function cosineProximity(e,t){return tidy(function(){var n=l2Normalize(e,-1),r=l2Normalize(t,-1),i=mul(n,r);return neg(sum(i,-1))})}function get(e){var t={meanSquaredError:meanSquaredError,meanAbsoluteError:meanAbsoluteError,meanAbsolutePercentageError:meanAbsolutePercentageError,meanSquaredLogarithmicError:meanSquaredLogarithmicError,squaredHinge:squaredHinge,hinge:hinge,categoricalHinge:categoricalHinge,logcosh:logcosh,categoricalCrossentropy:categoricalCrossentropy,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy,binaryCrossentropy:binaryCrossentropy,kullbackLeiblerDivergence:kullbackLeiblerDivergence,poisson:poisson,cosineProximity:cosineProximity};if(\"string\"==typeof e){if(e in t)return t[e];var n=\"Unknown loss \"+e;throw e.toLowerCase().includes(\"softmaxcrossentropy\")&&(n=\"Unknown loss \"+e+'. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy'),new ValueError(n)}return e}function binaryAccuracy(e,t){return tidy(function(){var n=mul(getScalar(.5),onesLike(t)),r=cast$1(greater(t,n),e.dtype);return mean(equal(e,r),-1)})}function categoricalAccuracy(e,t){return tidy(function(){return cast$1(equal(argMax(e,-1),argMax(t,-1)),\"float32\")})}function truePositives(e,t){return tidy(function(){var n=getScalar(1);return logicalAnd(e.equal(n),t.equal(n)).sum().cast(\"float32\")})}function falseNegatives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(n),t.equal(r)).sum().cast(\"float32\")})}function falsePositives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(r),t.equal(n)).sum().cast(\"float32\")})}function precision(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falsePositives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function recall(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falseNegatives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function binaryCrossentropy$1(e,t){return binaryCrossentropy(e,t)}function sparseCategoricalAccuracy(e,t){throw new NotImplementedError}var mse$1=meanSquaredError,MSE$1=meanSquaredError,mae$1=meanAbsoluteError,MAE$1=meanAbsoluteError,mape$1=meanAbsolutePercentageError,MAPE$1=meanAbsolutePercentageError,categoricalCrossentropy$1=categoricalCrossentropy,cosine$1=cosineProximity,sparseCategoricalCrossentropy$1=sparseCategoricalCrossentropy;function get$1(e){var t={binaryAccuracy:binaryAccuracy,categoricalAccuracy:categoricalAccuracy,precision:precision,categoricalCrossentropy:categoricalCrossentropy$1,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy$1,mse:mse$1,MSE:MSE$1,mae:mae$1,MAE:MAE$1,mape:mape$1,MAPE:MAPE$1,cosine:cosine$1};if(\"string\"==typeof e&&e in t)return t[e];if(\"string\"!=typeof e&&null!=e)return e;throw new ValueError(\"Unknown metric \"+e)}function getOptimizer(e){var t={Adagrad:function(){return train.adagrad(.01)},Adadelta:function(){return train.adadelta(1,.95,epsilon())},Adam:function(){return train.adam(.001,.9,.999,epsilon())},Adamax:function(){return train.adamax(.002,.9,.999,epsilon(),0)},RMSProp:function(){return train.rmsprop(.001,.9,0,epsilon())},SGD:function(){return train.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new ValueError(\"Unknown Optimizer \"+e)}function printSummary(e,t,n,r){void 0===r&&(r=console.log);var i,a=isModelSequentialLike(e),o=[\"Layer (type)\",\"Output shape\",\"Param #\"];if(a?(t=t||65,n=n||[.45,.85,1]):(t=t||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(function(e){return Math.floor(t*e)})),!a)for(var s in o.push(\"Receives inputs\"),i=[],e.nodesByDepth)i.push.apply(i,e.nodesByDepth[s]);r(\"_\".repeat(t)),printRow(o,n,r),r(\"=\".repeat(t));for(var l=e.layers,u=0;u<l.length;++u)a?printLayerSummary(l[u],n,r):printLayerSummaryWithConnections(l[u],n,i,r),r((u===l.length-1?\"=\":\"_\").repeat(t));e.checkTrainableWeightsConsistency();var c=countTrainableParams(e),p=countParamsInWeights(e.nonTrainableWeights);r(\"Total params: \"+(c+p)),r(\"Trainable params: \"+c),r(\"Non-trainable params: \"+p),r(\"_\".repeat(t))}function countTrainableParams(e){return null!=e.collectedTrainableWeights?countParamsInWeights(e.collectedTrainableWeights):countParamsInWeights(e.trainableWeights)}function isModelSequentialLike(e){var t=!0,n=[],r=[];for(var i in e.nodesByDepth)n.push(e.nodesByDepth[i]);for(var a=0,o=n;a<o.length;a++){var s=o[a];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){t=!1;break}r.push.apply(r,s)}if(t)for(var l=0,u=e.layers;l<u.length;l++){for(var c=!1,p=0,h=u[l].inboundNodes;p<h.length;p++){var d=h[p];if(-1!==r.indexOf(d)){if(c){t=!1;break}c=!0}}if(!t)break}return t}function printRow(e,t,n){void 0===n&&(n=console.log);for(var r=\"\",i=0;i<e.length;++i)i>0&&(r=r.slice(0,r.length-1)+\" \"),r=(r+=e[i]).slice(0,t[i]),r+=\" \".repeat(t[i]-r.length);n(r)}function printLayerSummary(e,t,n){var r;try{r=JSON.stringify(e.outputShape)}catch(e){r=\"multiple\"}printRow([e.name+\" (\"+e.getClassName()+\")\",r,e.countParams().toString()],t,n)}function printLayerSummaryWithConnections(e,t,n,r){var i;try{i=JSON.stringify(e.outputShape)}catch(e){i=\"multiple\"}for(var a=[],o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(null!=n&&n.length>0&&-1===n.indexOf(l)))for(var u=0;u<l.inboundLayers.length;++u){var c=l.inboundLayers[u].name,p=l.nodeIndices[u],h=l.tensorIndices[u];a.push(c+\"[\"+p+\"][\"+h+\"]\")}}var d=e.name,g=e.getClassName(),f=0===a.length?\"\":a[0];printRow([d+\" (\"+g+\")\",i,e.countParams().toString(),f],t,r);for(u=1;u<a.length;++u)printRow([\"\",\"\",\"\",a[u]],t,r)}function deserialize(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"layer\")}function isArrayItemInputOrOutputName(e,t,n){return(\"inboundNodes\"===e||\"outputLayers\"===e||\"inputLayers\"===e)&&0===t&&\"string\"==typeof n}function convertPythonicToTs(e,t){if(null===e)return null;if(\"string\"==typeof e)return toCamelCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertPythonicToTs(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u];if(\"name\"===u&&\"string\"==typeof c)o[u]=c;else{var p=toCamelCase(u);o[p]=convertPythonicToTs(c,p)}}return o}function convertTsToPythonic(e,t){if(null===e||void 0===e)return null;if(\"string\"==typeof e)return toSnakeCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertTsToPythonic(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u],p=toSnakeCase(u);o[p]=\"name\"!==u&&\"className\"!==u||\"string\"!=typeof c?convertTsToPythonic(c,u):c}return o}var version=\"0.8.0\";function preprocessWeightsForLoading(e,t,n,r){if(!n.startsWith(\"2.\"))throw new ValueError(\"Unsupported Keras version in weights being loaded: \"+n);return t}function loadTensor(e,t,n){var r=stringToDType(e);return Tensor.make(t,{values:0===t.length?n:util.flatten(n)},r)}function loadWeightsFromJson(e,t,n){void 0===n&&(n=!1);for(var r=e.keras_version,i=e.backend,a=t.map(function(e){return e.name}),o={},s=0,l=t;s<l.length;s++){null!=(b=l[s]).name&&(null==o[b.name]&&(o[b.name]=[]),o[b.name].push(b))}for(var u=e.weights,c=[],p=0;p<a.length;++p){var h=a[p],d=u[h];null==d&&(d=[]);for(var g=[],f=0;f<d.length;++f){var m=d[f];g.push(new LayerVariable(loadTensor(m.dtype,m.shape,m.value)))}for(var y=0,v=o[h];y<v.length;y++){var b,w=(b=v[y]).weights;if((g=preprocessWeightsForLoading(b,g,r,i)).length!==w.length){if(!n)throw new ValueError(\"Layer #\"+p+' (named \"'+b.name+'\") expects '+w.length+\" weight(s), but the saved weights have \"+g.length+\" element(s).\");console.warn(\"Skipping loading of weights of layer \"+b.name+\" due to mismatch in number of weights: (\"+g.length+\" vs \"+w.length+\").\")}for(var z=0;z<g.length;++z)!n||util.arraysEqual(w[z].shape,g[z].shape)?c.push([w[z],g[z].read()]):console.warn(\"Skipping loading of weights for layer \"+b.name+\" due to mismatch in shape (\"+w[z].shape+\" vs \"+g[z].shape+\")\")}}batchSetValue(c)}function loadWeightsFromNamedTensorMap(e,t,n){void 0===n&&(n=!0);for(var r={},i=0,a=0,o=t;a<o.length;a++)for(var s=0,l=o[a].weights;s<l.length;s++){var u=l[s];if(null!=r[u.originalName])throw new ValueError(\"Duplicate weight name: \"+u.originalName);r[u.originalName]=u,i++}var c=[];for(var p in e){if(null!=r[p])c.push([r[p],e[p]]);else if(n)throw new ValueError(\"Provided weight data has no target variable: \"+p);delete r[p]}if(n){var h=[];for(var d in r)h.push(d);if(h.length>0)throw new ValueError(h.length+\" of \"+i+\" weights are not set: \"+h)}batchSetValue(c)}var Container=function(e){function t(n){var r=e.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=getUid(i)}if(r.supportsMasking=!1,r.trainable=!0,r.updatable=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],unique(r.inputs).length!==r.inputs.length)throw new ValueError(\"The list of inputs passed to the model is redundant. All inputs should only appear once. Found: \"+r.inputs.map(function(e){return e.name}));unique(r.outputs).length!==r.outputs.length&&console.warn(\"The list of outputs passed to the model is redundant. All outputs should only appear once. Found: \"+r.outputs.map(function(e){return e.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(N=o[a]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(u)}for(var c=0,p=r.inputs;c<p.length;c++){s=(N=p[c]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;assert(0===l,\"input layer has >1 nodes\"),assert(0===u,\"input layer has >1 tensors\"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(l),r.inputLayersTensorIndices.push(u)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof InputLayer))throw new TypeError(\"Input layers to a Model must be InputLayer objects. Received inputs: \"+n.inputs+\". Input \"+h+\" (0-based) originates from layer type \"+s.getClassName()+\".\");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var d=0,g=r.outputLayers;d<g.length;d++){s=g[d];r.outputNames.push(s.name)}r.internalInputShapes=r.inputs.map(function(e){return e.shape}),r.internalOutputShapes=r.outputs.map(function(e){return e.shape});for(var f={},m={},y={},v={},b={},w=[],z=function(e,n,i,a,o,s){null!=a&&null!=o&&null!=s||(a=e.sourceLayer,o=e.nodeIndex,s=e.tensorIndex);var l=a.inboundNodes[o];if(-1!==i.indexOf(l))throw new RuntimeError(\"The tensor \"+e.name+' at layer \"'+a.name+'\" is part of a cycle.');if(-1===n.indexOf(l)){r.containerNodes.add(t.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(l)&&i.push(l);for(var u=l.inboundLayers.length,c=0;c<u;c++){var p=l.inputTensors[c],h=l.inboundLayers[c],d=l.nodeIndices[c],g=l.tensorIndices[c];z(p,n,i,h,d,g)}for(n.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);w.push(l)}},S=[],A=[],I=0,C=r.outputs;I<C.length;I++){var N=C[I];z(N,S,A)}for(var E=0,_=w.slice().reverse();E<_.length;E++){m[(K=_[E]).id]=K,K.id in f||(f[K.id]=0);var k=f[K.id],L=null==y[K.outboundLayer.id]?0:y[K.outboundLayer.id];k=Math.max(k,L),y[K.outboundLayer.id]=k,v[K.outboundLayer.id]=K.outboundLayer,f[K.id]=k;for(h=0;h<K.inboundLayers.length;h++){var x=K.inboundLayers[h],T=(l=K.nodeIndices[h],x.inboundNodes[l]),R=null==f[T.id]?0:f[T.id];f[T.id]=Math.max(k+1,R),m[T.id]=T}}var O={};for(var D in f){(k=f[D])in O||(O[k]=[]),O[k].push(m[D])}var M={};for(var P in y){(k=y[P])in M||(M[k]=[]),M[k].push(v[P])}var V=Object.keys(M).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);r.layers=[];for(var F=0,B=V;F<B.length;F++){var U=M[k=B[F]];U.sort(function(e,t){var n=b[e.id],r=b[t.id];return n<r?-1:n>r?1:0});for(var j=0,W=U;j<W.length;j++){s=W[j];r.layers.push(s)}}r.layersByDepth=M,V=Object.keys(O).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);for(var $=r.inputs.slice(),q=[],G=0,J=V;G<J.length;G++)for(var H=0,Z=O[k=J[G]];H<Z.length;H++){var K;if(null!=(s=(K=Z[H]).outboundLayer)){for(var Y=0,X=K.inputTensors;Y<X.length;Y++){N=X[Y];if(-1===$.indexOf(N))throw new RuntimeError(\"Graph disconnected: cannot obtain value for tensor \"+N+' at layer \"'+s.name+'\". 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Layer names: \"+JSON.stringify(te))},re=0,ie=te;re<ie.length;re++){ne(ie[re])}return r.outboundNodes=[],r.inboundNodes=[],new Node({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(e){return null}),outputMasks:r.outputs.map(function(e){return null}),inputShapes:r.inputs.map(function(e){return e.shape}),outputShapes:r.outputs.map(function(e){return e.shape})}),r.built=!0,r._refCount=1,r}return __extends(t,e),t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Container '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount)for(var t=0,n=this.layers;t<n.length;t++){var r=n[t];e.numDisposedVariables+=r.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(this._trainableWeights.length>0)throw new ValueError(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. 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e=this.getConfig();return{className:this.getClassName(),config:e,kerasVersion:\"tfjs-layers \"+version,backend:\"TensorFlow.js\"}},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=convertTsToPythonic(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=\"mask\"in t?toList(t.mask):pyListRepeat(null,e.length),n.runInternalGraph(e,r)[0]})},t.prototype.computeMask=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=null==t?pyListRepeat(null,e.length):toList(t),n.runInternalGraph(e,r)[1]})},t.prototype.computeOutputShape=function(e){var t=normalizeShapeList(e);if(t.length!==this.inputLayers.length)throw new ValueError(\"Invalid inputShape argument \"+e+\": model has \"+this.inputLayers.length+\" tensor inputs.\");for(var n={},r=0;r<t.length;r++){var i=this.inputLayers[r],a=t[r];n[A=i.name+\"_0_0\"]=a}var o=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);if(o.length>1)for(var s=0,l=o;s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){var h=p[c];i=h.outboundLayer;if(-1===this.inputLayers.map(function(e){return e.id}).indexOf(i.id)){for(var d=[],g=0;g<h.inboundLayers.length;g++){var f=h.inboundLayers[g],m=h.nodeIndices[g],y=h.tensorIndices[g],v=n[A=f.name+\"_\"+m+\"_\"+y];d.push(v)}var b=normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),w=i.inboundNodes.indexOf(h);for(g=0;g<b.length;g++){n[A=i.name+\"_\"+w+\"_\"+g]=b[g]}}}var z=[],S=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],w=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var A=i.name+\"_\"+w+\"_\"+y;S.push(A)}for(r=0;r<S.length;r++){var I=S[r];assert(I in n),z.push(n[I])}return singletonOrArray(z)},t.prototype.runInternalGraph=function(e,t){null==t&&(t=pyListRepeat(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=e[r],o=t[r];n[i.id]=[a,o]}for(var s=0,l=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){for(var h=p[c],d=h.outboundLayer,g=h.inputTensors,f=h.outputTensors,m=new Array,y=0,v=g;y<v.length;y++){(i=v[y]).id in n&&m.push(n[i.id])}if(m.length===g.length){var b={},w=void 0,z=void 0,S=void 0,A=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===m.length){var I=m[0],C=I[0],N=I[1];null==b.mask&&(b.mask=N),S=toList(d.call(C,b)),A=toList(d.computeMask(C,N)),w=[C],z=[N]}else w=m.map(function(e){return e[0]}),z=m.map(function(e){return e[1]}),null==b.mask&&(b.mask=z),S=toList(d.call(w,b)),A=toList(d.computeMask(w,z));if(d.activityRegularizer)throw new NotImplementedError(\"Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(r=0;r<f.length;++r){i=f[r],a=S[r],o=A[r];n[i.id]=[a,o]}}}for(var E=[],_=[],k=[],L=0,x=this.outputs;L<x.length;L++){assert((i=x[L]).id in n,\"Could not compute output \"+i.name+\" : \"+i.id);var T=n[i.id],R=T[0];o=T[1];k.push(R.shape),E.push(R),_.push(o)}return[E,_,k]},t.prototype.buildNodeConversionMap=function(e){for(var n,r={},i=0,a=this.layers;i<a.length;i++){var o=a[i];n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var l=t.nodeKey(o,s);l in this.containerNodes&&(r[l]=n,n+=1)}}return r},t.prototype.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new ValueError(\"Was asked to retrieve layer at index \"+t+\", but model only has \"+this.layers.length+\" layer(s).\");return this.layers[t]}if(null==e)throw new ValueError(\"Provide either a layer name or layer index\");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===e)return i}throw new ValueError(\"No such layer: \"+e)},t.prototype.calculateLosses=function(){var e=this;return tidy(function(){for(var n=[],r=0,i=e.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=t.nodeKey(a,o);e.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n})},t.prototype.getConfig=function(){for(var e={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(b=a[i]).getClassName(),s=b.getConfig(),l=[],u=0;u<b.inboundNodes.length;u++){var c=b.inboundNodes[u],p=t.nodeKey(b,u),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(e){console.warn(\"Layer \"+b.name+\" was passed non-serializable keyword arguments: \"+c.callArgs+\". They will not be included in the serialized model (and thus will be missing at deserialization time).\"),h={}}if(c.inboundLayers.length>0){for(var d=[],g=0;g<c.inboundLayers.length;g++){var f=c.inboundLayers[g],m=c.nodeIndices[g],y=c.tensorIndices[g];null!==(z=n[t.nodeKey(f,m)])&&void 0!==z||(z=0),d.push([f.name,z,y,h])}l.push(d)}}}r.push({name:b.name,className:o,config:s,inboundNodes:l})}e.layers=r;var v=[];for(g=0;g<this.inputLayers.length;g++){var b=this.inputLayers[g];m=this.inputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){null!==(z=n[p])&&void 0!==z||(z=0);y=this.inputLayersTensorIndices[g];v.push([b.name,z,y])}}e.inputLayers=v;var w=[];for(g=0;g<this.outputLayers.length;g++){b=this.outputLayers[g],m=this.outputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){var z;null!==(z=n[p])&&void 0!==z||(z=0);y=this.outputLayersTensorIndices[g];w.push([b.name,z,y])}}return e.outputLayers=w,e},t.fromConfig=function(e,t){var n={},r={};function i(e,t){e.name in r?r[e.name].push(t):r[e.name]=[t]}function a(e,t){for(var r,a=[],o=0,s=t;o<s.length;o++){var l=s[o],u=l[0],c=l[1],p=l[2];if(3===l.length)r={};else{if(4!==l.length)throw new ValueError(\"Improperly formatted model config for layer \"+JSON.stringify(e)+\": \"+JSON.stringify(l));r=l[3]}if(!(u in n))return void i(e,t);var h=n[u];if(h.inboundNodes.length<=c)return void i(e,t);var d=h.inboundNodes[c];a.push(d.outputTensors[p])}a.length>0&&e.apply(singletonOrArray(a),r)}function o(e){var r=e.name,a=deserialize(e,null!=t.customObjects?t.customObjects:{});n[r]=a;for(var o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(l instanceof Array))throw new ValueError(\"Corrupted configuration, expected array for nodeData: \"+l);i(a,l)}}for(var s=t.name,l=t.layers,u=0,c=l;u<c.length;u++){o(d=c[u])}for(;!isObjectEmpty(r);)for(var p=0,h=l;p<h.length;p++){var d=h[p];if((N=n[d.name]).name in r){for(var g=0,f=r[N.name];g<f.length;g++){a(N,f[g])}delete r[N.name]}}for(var m=[],y=[],v=0,b=t.inputLayers;v<b.length;v++){var w=(d=b[v])[0],z=d[1],S=d[2];assert(w in n);var A=(N=n[w]).inboundNodes[z].outputTensors;m.push(A[S])}for(var I=0,C=t.outputLayers;I<C.length;I++){w=(d=C[I])[0],z=d[1],S=d[2];assert(w in n);var N;A=(N=n[w]).inboundNodes[z].outputTensors;y.push(A[S])}return new e({inputs:m,outputs:y,name:s})},Object.defineProperty(t.prototype,\"stateful\",{get:function(){if(this._stateful)throw new ValueError(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(var e=0,t=this.layers;e<t.length;e++){if(t[e].stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;tidy(function(){e.layers.forEach(function(e){e.stateful&&e.resetStates()})})},t}(Layer);function assertFeedCompatibility(e,t){if(null!=e.shape){if(e.shape.length!==t.shape.length)throw new ValueError(\"The rank of feed (\"+t.shape.length+\") does not match the rank of the key (\"+e.shape.length+\").\");for(var n=0;n<e.shape.length;++n)if(null!=e.shape[n]&&e.shape[n]!==t.shape[n])throw new ValueError(\"The \"+n+\"-th dimension of the feed (\"+t.shape[n]+\") is incompatible with that of the key (\"+e.shape[n]+\").\")}if(null==e.dtype||e.dtype===t.dtype)return t;try{return cast(t,e.dtype)}catch(n){throw new ValueError(\"The dtype of the feed (\"+t.dtype+\") can not be cast to the dtype of the key '\"+e.name+\"' (\"+e.dtype+\").\")}}var ModelLoggingVerbosity,FeedDict=function(){function e(t){if(this.id2Value={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n];else{if(null==t)return;for(var r=0,i=t;r<i.length;r++){var a=i[r];this.add(a.key,a.value)}}}return e.prototype.add=function(e,t){if(null!=this.id2Value[e.id])throw new ValueError(\"Duplicate key: name=\"+e.name+\", id=\"+e.id);return this.id2Value[e.id]=assertFeedCompatibility(e,t),this},e.prototype.addFeed=function(e){this.add(e.key,e.value)},e.prototype.hasKey=function(e){return null!=this.id2Value[e.id]},e.prototype.getValue=function(e){if(null==this.id2Value[e.id])throw new ValueError(\"Nonexistent key: \"+JSON.stringify(e));return this.id2Value[e.id]},e}();function execute(e,t,n){for(var r=Array.isArray(e),i=r?e:[e],a=[],o=new FeedDict(t),s=0,l=i;s<l.length;s++){var u=l[s];a.push(executeInternal(u,o,n))}return r?a:a[0]}function executeInternal(e,t,n){if(t.hasKey(e))return t.getValue(e);if(e.sourceLayer instanceof InputLayer)throw new ValueError(\"Missing a feed value for SymbolicTensor from InputLayer '\"+InputLayer.name+\"'\");for(var r=[],i=0,a=e.inputs;i<a.length;i++){var o=executeInternal(a[i],t,n);r.push(o)}var s=e.sourceLayer.apply(r,n);Array.isArray(s)||(s=[s]);for(var l=getNodeOutputs(e),u=Array.isArray(l)?l:[l],c=0;c<u.length;++c)t.add(u[c],s[c]);return 1===s.length?s[0]:s[e.outputTensorIndex]}function getNodeOutputs(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r)for(var i=0,a=e.sourceLayer.inboundNodes[r].outputTensors;i<a.length;i++){if(a[i].id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}function isDataTensor(e){return e instanceof Tensor}function isDataArray(e){return Array.isArray(e)}function isDataDict(e){return!isDataTensor(e)&&!isDataArray(e)}function standardizeInputData(e,t,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),null==t||0===t.length){if(null!=e){var a=!1;if(isDataArray(e)&&e.length>0)a=!0;else if(isDataDict(e)){for(var o in e)if(e.hasOwnProperty(o)){a=!0;break}}else a=!0;if(a)throw new ValueError(\"Error when checking model \"+i+\" expected no data, but got \"+e)}return[]}if(null==e)return t.map(function(e){return null});var s;if(isDataDict(e)){e=e,s=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(null==e[c])throw new ValueError('No data provided for \"'+c+'\". Need data for each key in: '+t);s.push(e[c])}}else if(isDataArray(e)){if((e=e).length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got the following list of Tensor(s): \"+e);s=e}else{if(e=e,t.length>1)throw new ValueError(\"The model \"+i+\" expects \"+t.length+\" Tensor(s), but only received one Tensor. Found: Tensor with shape \"+e.shape);s=[e]}for(var p=0;p<t.length;++p){1===(h=s[p]).shape.length&&(s[p]=expandDims(h,1))}if(null!=n)for(p=0;p<t.length;++p)if(null!=n[p]){var h;if((h=s[p]).shape.length!==n[p].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have \"+n[p].length+\" dimension(s). but got array with shape \"+h.shape);for(var d=0;d<n[p].length;++d)if(0!==d||r){var g=h.shape[d],f=n[p][d];if(null!=f&&f>=0&&g!==f)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have shape [\"+n[p]+\"], but got array with shape [\"+h.shape+\"].\")}}return s}function checkArrayLengths(e,t,n){var r=unique(e.map(function(e){return e.shape[0]}));r.sort();var i=unique(t.map(function(e){return e.shape[0]}));if(i.sort(),r.length>1)throw new ValueError(\"All input Tensors (x) should have the same number of samples. Got array shapes: \"+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new ValueError(\"All target Tensors (y) should have the same number of samples. Got array shapes: \"+JSON.stringify(t.map(function(e){return e.shape})));if(r.length>0&&i.length>0&&!util.arraysEqual(r,i))throw new ValueError(\"Input Tensors should have the same number of samples as target Tensors. Found \"+r[0]+\" input sample(s) and \"+i[0]+\" target sample(s).\")}function checkLossAndTargetCompatibility(e,t,n){for(var r=[meanSquaredError,binaryCrossentropy,categoricalCrossentropy],i=0;i<e.length;++i){var a=e[i],o=t[i],s=n[i];if(null!=o){if(o===categoricalCrossentropy&&1===a.shape[a.shape.length-1])throw new ValueError(\"You are passing a target array of shape \"+a.shape+\" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].\");if(-1!==r.indexOf(o))for(var l=a.shape.slice(1),u=s.slice(1),c=0;c<l.length;++c){var p=l[c],h=u[c];if(null!=h&&p!==h)throw new ValueError(\"A target Tensor with shape \"+a.shape+\" was passed for an output of shape \"+s+\", while using a loss function that expects targets to have the same shape as the output.\")}}}}function makeBatches(e,t){for(var n=[],r=0,i=null;r<e;)(i=r+t)>=e&&(i=e),n.push([r,i]),r=i;return n}function sliceArrays(e,t,n){return null==e?[null]:Array.isArray(e)?e.map(function(e){return sliceAlongFirstAxis(e,t,n-t)}):sliceAlongFirstAxis(e,t,n-t)}function sliceArraysByIndices(e,t){return tidy(function(){return null==e?null:Array.isArray(e)?e.map(function(e){return sliceArraysByIndices(e,t)}):gather$1(e,\"int32\"===t.dtype?t:t.toInt())})}function checkInputData(e,t,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),Array.isArray(e)){if(e.length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got \"+e.length+\" Tensors(s).\");a=e}else{if(t.length>1)throw new ValueError(\"The model expects \"+t.length+\" \"+i+\" Tensors, but only received one Tensor. Found: array with shape \"+JSON.stringify(e.shape)+\".\");a=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=a[o];if(s.shape.length!==n[o].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have \"+n[o].length+\" dimension(s), but got array with shape \"+JSON.stringify(s.shape));for(var l=0;l<n[o].length;++l)if(0!==l||r){var u=s.shape[l],c=n[o][l];if(null!=c&&c!==u)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have shape \"+JSON.stringify(n[o])+\" but got array with shape \"+JSON.stringify(s.shape)+\".\")}}}function collectMetrics(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map(function(e){return[]});if(Array.isArray(e))return t.map(function(t){return e});if(null!=e){for(var n=[],r=0,i=t;r<i.length;r++){var a=i[r],o=e.hasOwnProperty(a)?e[a]:[];Array.isArray(o)||(o=[o]),n.push(o)}return n}throw new TypeError(\"Type of metrics argument not understood. Expected an Array or Object, found: \"+e)}function checkBatchSize(e){util.assert(e>0&&Number.isInteger(e),\"batchSize is required to be a positive integer, but got \"+e)}!function(e){e[e.SILENT=0]=\"SILENT\",e[e.VERBOSE=1]=\"VERBOSE\"}(ModelLoggingVerbosity||(ModelLoggingVerbosity={}));var Model=function(e){function t(t){var n=e.call(this,t)||this;return n.isTraining=!1,n}return __extends(t,e),t.prototype.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new ValueError(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");printSummary(this,e,t,n)},t.prototype.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,\"string\"==typeof e.optimizer)this.optimizer=getOptimizer(e.optimizer);else{if(!(e.optimizer instanceof Optimizer))throw new ValueError(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer=e.optimizer}var n=[];if(Array.isArray(e.loss)||\"string\"==typeof e.loss||\"function\"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new ValueError(\"When passing an Array as loss, it should have one entry per model output. The model has \"+this.outputs.length+\" output(s), but you passed loss=\"+e.loss+\".\");var r=e.loss;n=r.map(function(e){return get(e)})}else{var i=get(e.loss);this.outputs.map(function(e){n.push(i)})}else{for(var a in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(a))throw new ValueError('Unknown entry in loss dictionary: \"'+a+'\". Only expect the following keys: '+this.outputNames);for(var o in this.outputNames)null==e.loss[o]&&console.warn('Output \"'+o+'\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+o+\" during training\"),n.push(get(e.loss[o]))}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var s=0;s<this.outputs.length;++s){var l=this.internalOutputShapes[s],u=this.outputNames[s];this.feedOutputNames.push(u),this.feedOutputShapes.push(l),this.feedLossFns.push(this.lossFunctions[s])}var c=[];this.metrics=e.metrics,this.metricsNames=[\"loss\"],this.metricsTensors=[],nameScope(\"loss\",function(){for(var e=0;e<t.outputs.length;++e)if(-1===c.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+\"_loss\"))}});var p=collectMetrics(e.metrics,this.outputNames);nameScope(\"metric\",function(){for(var e=function(e){if(-1!==c.indexOf(e))return\"continue\";!function(n){for(var r,i,a,o=function(n){if(-1!==[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(n)){var o=t.internalOutputShapes[e];1===o[o.length-1]||t.lossFunctions[e]===binaryCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=binaryAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=binaryCrossentropy$1):t.lossFunctions[e]===sparseCategoricalCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=sparseCategoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=sparseCategoricalCrossentropy$1):-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=categoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=categoricalCrossentropy$1);var s=void 0;-1!==[\"accuracy\",\"acc\"].indexOf(n)?s=\"acc\":-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(s=\"ce\"),a=i,r=\"\"+s}else{var l=get$1(n);a=l,r=\"\"+n}var u;nameScope(r,function(){u=a}),function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+\"_\"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])}(e,r,u)},s=0,l=n;s<l.length;s++)o(l[s])}(p[e])},n=0;n<t.outputs.length;++n)e(n)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;checkBatchSize(r);var i=this.standardizeUserData(e,t,!0,r),a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return singletonOrArray(this.testLoop(o,a,r,n.verbose,n.steps))},t.prototype.checkNumSamples=function(e,t,n,r){var i;if(void 0===r&&(r=\"steps\"),null!=n){if(i=null,null!=t)throw new ValueError(\"If \"+r+\" is set, batchSize must be null or undefined.Got batchSize = \"+t)}else{if(null==e)throw new ValueError(\"Either the input data should have a defined shape, or \"+r+\" shoud be specified.\");i=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return i},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new ValueError(\"`outputs` is an empty Array, which is not allowed.\");var n=Array.isArray(t),r=n?t:[t],i=this.retrieveSymbolicTensors(r),a=new FeedDict;if(e instanceof Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new ValueError(\"The number of inputs provided (\"+e.length+\") does not match the number of inputs of this model (\"+this.inputs.length+\").\");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],e[o])}else for(var s=0,l=this.inputs;s<l.length;s++){var u=l[s],c=e[u.name];if(null==c)throw new ValueError(\"No value is provided for the model's input \"+u.name);a.add(u,c)}var p=execute(i,a);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=pyListRepeat(null,e.length),n=e.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(e){return e.name}),l=0;l<e.length;++l){var u=s.indexOf(e[l]);if(-1!==u&&(t[l]=o[u],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw t.forEach(function(t,n){null==t&&c.push(e[n])}),new ValueError(\"Cannot find SymbolicTensors for output name(s): \"+JSON.stringify(c))}return t},t.prototype.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),tidy(function(){var i=r.checkNumSamples(e);if(n)throw new NotImplementedError(\"Verbose predictLoop() is not implemented yet.\");for(var a=makeBatches(i,t),o=[],s=function(t){var n=tidy(function(){var n=a[t][0],i=a[t][1],o=sliceArrays(e,n,i),s=[];if(Array.isArray(o))for(var l=0;l<o.length;++l)s.push({key:r.inputs[l],value:o[l]});else s.push({key:r.inputs[0],value:o});var u=new FeedDict(s);return execute(r.outputs,u)});if(0===t)for(var i=0,s=n;i<s.length;i++){var l=s[i];o.push(l)}else for(var u=0;u<n.length;++u)o[u]=concatAlongFirstAxis(o[u],n[u])},l=0;l<a.length;++l)s(l);return singletonOrArray(o)})},t.prototype.predict=function(e,t){void 0===t&&(t={}),checkInputData(e,this.inputNames,this.feedInputShapes,!1);var n=null==t.batchSize?32:t.batchSize;return checkBatchSize(n),this.predictLoop(e,n)},t.prototype.predictOnBatch=function(e){return checkInputData(e,this.inputNames,this.feedInputShapes,!0),this.predictLoop(e,e.shape[0])},t.prototype.standardizeUserData=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new RuntimeError(\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===sparseCategoricalCrossentropy?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(checkArrayLengths(e=standardizeInputData(e,this.feedInputNames,this.feedInputShapes,!1,\"input\"),t=standardizeInputData(t,this.feedOutputNames,i,!1,\"target\"),null),checkLossAndTargetCompatibility(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new ValueError(\"In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size \"+r+\". Found: \"+e[0].shape[0]+\" sample(s).\");return[e,t,null]},t.prototype.fitLoop=function(e,t,n,r,i,a,o,s,l,u,c,p,h,d,g){return __awaiter(this,void 0,void 0,function(){var f,m,y,v,b,w,z,S,A=this;return __generator(this,function(I){switch(I.label){case 0:if(null==r&&(r=32),null==i&&(i=1),null==u&&(u=!0),null==p&&(p=0),f=!1,null!=s&&null!=l&&(f=!0),null!=d&&(f=!0,null==h))throw new ValueError(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");return null!=(m=this.checkNumSamples(t,r,h,\"steps_per_epoch\"))&&(y=range(0,m)),null==a&&(a=1),this.history=new History,v=[new BaseLogger(g)].concat(CallbackConstructorRegistry.createCallbacks(a)),null!=o&&v.push.apply(v,o),v.push(this.history),(b=new CallbackList(v)).setModel(this),b.setParams({epochs:i,initialEpoch:p,samples:m,steps:h,batchSize:r,verbose:a,doValidation:f,metrics:c}),[4,b.onTrainBegin()];case 1:I.sent(),this.stopTraining_=!1,w=function(i){var a,o,c,p,d;return __generator(this,function(g){switch(g.label){case 0:return[4,b.onEpochBegin(i)];case 1:if(g.sent(),a={},null==h)return[3,2];throw new NotImplementedError(\"stepsPerEpoch mode is not implemented yet.\");case 2:if(\"batch\"===u)throw new NotImplementedError(\"batch shuffling is not implemneted yet\");u&&util.shuffle(y),o=tensor1d(y),c=makeBatches(m,r),p=function(i){var u;return __generator(this,function(p){switch(p.label){case 0:return u={},[4,b.onBatchBegin(i,u)];case 1:return p.sent(),tidy(function(){var p=c[i][0],h=c[i][1],d=sliceAlongFirstAxis(o,p,h-p);u.batch=i,u.size=h-p;for(var g=sliceArraysByIndices(t,d),m=e(g),y=0;y<n.length;++y){var v=n[y],b=m[y];u[v]=b,keep(b)}if(i===c.length-1&&f){var w=A.testLoop(s,l,r);for(y=0;y<n.length;++y){v=n[y],b=w[y];keep(b),a[\"val_\"+v]=b}}}),[4,b.onBatchEnd(i,u)];case 2:return p.sent(),disposeTensorsInLogs(u),z.stopTraining_?[2,\"break\"]:[2]}})},d=0,g.label=3;case 3:return d<c.length?[5,p(d)]:[3,6];case 4:if(\"break\"===g.sent())return[3,6];g.label=5;case 5:return++d,[3,3];case 6:o.dispose(),g.label=7;case 7:return[4,b.onEpochEnd(i,a)];case 8:return g.sent(),z.stopTraining_?[2,\"break\"]:[2]}})},z=this,S=p,I.label=2;case 2:return S<i?[5,w(S)]:[3,5];case 3:if(\"break\"===I.sent())return[3,5];I.label=4;case 4:return++S,[3,2];case 5:return[4,b.onTrainEnd()];case 6:return I.sent(),[4,this.history.syncData()];case 7:return I.sent(),[2,this.history]}})})},t.prototype.testLoop=function(e,t,n,r,i){var a=this;return void 0===r&&(r=0),tidy(function(){var o=a.checkNumSamples(t,n,i,\"steps\"),s=[];if(1===r)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");if(null!=i)throw new NotImplementedError(\"steps mode in testLoop() is not implemented yet\");for(var l=makeBatches(o,n),u=tensor1d(range(0,o)),c=0;c<l.length;++c){var p=l[c][0],h=l[c][1],d=sliceAlongFirstAxis(u,p,h-p),g=sliceArraysByIndices(t,d),f=e(g);if(0===c)for(var m=0;m<f.length;++m)s.push(getScalar(0));for(m=0;m<f.length;++m){var y=f[m];s[m]=add(s[m],mul(getScalar(h-p),y))}}for(m=0;m<s.length;++m)s[m]=div(s[m],getScalar(o));return s})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],i=r;if(count(e,r)>1)i+=\"_\"+count(e.slice(0,n),r);t.push(i)}return t},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return tidy(function(){for(var n,r=[],i=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:i[s]});var l=new FeedDict(o),u=execute(e.outputs,l);for(s=0;s<e.lossFunctions.length;++s){var c=e.lossFunctions[s],p=mean(c(a[s],u[s]));n=0===s?p:add(n,p),r.push(n)}for(s=0;s<e.metricsTensors.length;++s){var h=e.metricsTensors[s][0],d=e.metricsTensors[s][1],g=mean(h(a[d],u[d]));r.push(g)}return r})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h,d,g,f,m,y,v,b,w,z,S=this;return __generator(this,function(A){switch(A.label){case 0:if(this.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");this.isTraining=!0,A.label=1;case 1:if(A.trys.push([1,,3,4]),checkBatchSize(r=null==n.batchSize?32:n.batchSize),i=this.standardizeUserData(e,t,!1,r),a=i[0],o=i[1],s=!1,l=void 0,u=void 0,c=void 0,p=!1,null!=n.validationData&&n.validationData.length>0){if(s=!0,2!==n.validationData.length)throw 3===n.validationData.length?new NotImplementedError(\"validationData including sample weights is not supported yet.\"):new ValueError(\"When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; \"+n.validationData+\" is invalid.\");l=n.validationData[0],u=n.validationData[1],h=this.standardizeUserData(l,u,!0,r),l=h[0],u=h[1],c=l.concat(u)}else null!=n.validationSplit&&n.validationSplit>0&&n.validationSplit<1?(s=!0,d=Math.floor(a[0].shape[0]*(1-n.validationSplit)),g=a[0].shape[0],l=sliceArrays(a,d,g),a=sliceArrays(a,0,d),u=sliceArrays(o,d,g),o=sliceArrays(o,0,d),p=!0,c=l.concat(u)):null!=n.validationSteps&&(s=!0);return f=a.concat(o),this.checkTrainableWeightsConsistency(),m=function(e){var t=e.slice(0,S.inputs.length),n=e.slice(S.inputs.length,S.inputs.length+S.outputs.length),r=[],i=S.collectedTrainableWeights.map(function(e){return e.read()});return[S.optimizer.minimize(function(){for(var e=[],i=0;i<S.inputs.length;++i)e.push({key:S.inputs[i],value:t[i]});var a,o=new FeedDict(e),s=execute(S.outputs,o,{training:!0});for(i=0;i<S.lossFunctions.length;++i){var l=(0,S.lossFunctions[i])(n[i],s[i]);mean(l),a=0===i?l:add(a,l)}for(i=0;i<S.metricsTensors.length;++i){var u=S.metricsTensors[i][0],c=S.metricsTensors[i][1],p=mean(u(n[c],s[c]));keep(p),r.push(p)}return a=mean(a),S.calculateLosses().forEach(function(e){a=add(a,e)}),a},!0,i)].concat(r)},y=this.getDedupedMetricsNames(),v=void 0,b=void 0,s?(this.makeTestFunction(),v=this.testFunction,b=y.slice().concat(y.map(function(e){return\"val_\"+e}))):(v=null,c=[],b=y.slice()),w=standardizeCallbacks(n.callbacks),[4,this.fitLoop(m,f,y,r,n.epochs,n.verbose,w,v,c,n.shuffle,b,n.initialEpoch,null,null,n.yieldEvery)];case 2:return z=A.sent(),p&&(c.forEach(function(e){return e.dispose()}),a.forEach(function(e){return e.dispose()}),o.forEach(function(e){return e.dispose()})),this.isTraining=!1,[2,z];case 3:return this.isTraining=!1,[7];case 4:return[2]}})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||(t[r[a].originalName]=i[a]);return t},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),t.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o;return __generator(this,function(s){switch(s.label){case 0:if(\"string\"==typeof e){if(0===(n=io.getSaveHandlers(e)).length)throw new ValueError(\"Cannot find any save handlers for URL '\"+e+\"'\");if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") save handlers for URL '\"+e+\"'\");e=n[0]}if(null==e.save)throw new ValueError(\"Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return[4,io.encodeWeights(this.getNamedWeights(t))];case 1:return r=s.sent(),i=!1,a=null,o=this.toJSON(a,i),[2,e.save({modelTopology:o,weightData:r.data,weightSpecs:r.specs})]}})})},t.className=\"Model\",t}(Container);function loadModelInternal(e,t){return void 0===t&&(t=!0),__awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){if(\"string\"==typeof e){if(0===(n=io.getLoadHandlers(e)).length)n.push(io.browserHTTPRequest(e));else if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") load handlers for URL '\"+e+\"'\");e=n[0]}return[2,loadModelFromIOHandler(e,void 0,t)]})})}function loadModelFromIOHandler(e,t,n){return void 0===n&&(n=!0),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s;return __generator(this,function(l){switch(l.label){case 0:if(null==e.load)throw new ValueError(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,e.load()];case 1:if(r=l.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),a=deserialize(convertPythonicToTs(i),t),null!=r.weightData){if(null==r.weightSpecs)throw new ValueError(\"Model artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");o=!1,s=!0,a.loadWeights(io.decodeWeights(r.weightData,r.weightSpecs),o,s,n)}return[2,a]}})})}serialization.registerClass(Model);var Sequential=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:getUid(\"sequential_\"),null!=t.layers)for(var r=0,i=t.layers;r<i.length;r++){var a=i[r];n.add(a)}return n}return __extends(t,e),t.prototype.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some(function(e){return e<0}))throw new ValueError(\"Negative dimension size caused by adding layer \"+e.name+\" with input shape [\"+e.inboundNodes[0].inputTensors[0].shape+\"]\")},t.prototype.add=function(e){var n,r=e instanceof t||e instanceof Model;if(r){if(1!==(n=e).outputs.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(1!==n.inputs.length)throw new ValueError(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new ValueError(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");var i=Input({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+\"_input\"});e.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new ValueError(\"A layer added to a Sequential model must not already be connected somewhere else. Model received layer \"+e.name+\" which has \"+e.inboundNodes.length+\" pre-existing inbound connections.\");if(1!==e.inboundNodes[0].outputTensors.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=getSourceInputs(this.outputs[0])}this.inboundNodes=[],new Node({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:pyListRepeat(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(e){return e.shape}),outputShapes:this.outputs[0].shape})}else{var a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},t.prototype.pop=function(){if(0===this.layers.length)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},t.prototype.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},t.prototype.build=function(e){if(getExactlyOneShape(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Model({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.model.updatable=this.updatable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},t.prototype.countParams=function(){return this.built||this.build(),e.prototype.countParams.call(this)},t.prototype.summary=function(t,n,r){void 0===r&&(r=console.log),this.built||this.build(),e.prototype.summary.call(this,t,n,r)},t.prototype.setWeights=function(e){null==this.model&&this.build(),this.model.setWeights(e)},Object.defineProperty(t.prototype,\"updatable\",{get:function(){return this._updatable},set:function(e){this.built&&(this.model.updatable=e),this._updatable=e},enumerable:!0,configurable:!0}),t.prototype.evaluate=function(e,t,n){if(void 0===n&&(n={}),!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return this.model.evaluate(e,t,n)},t.prototype.predict=function(e,t){return void 0===t&&(t={}),null==this.model&&this.build(),this.model.predict(e,t)},t.prototype.predictOnBatch=function(e){return null==this.model&&this.build(),this.model.predictOnBatch(e)},t.prototype.compile=function(e){this.build(),this.model.compile(e),this.optimizer=this.model.optimizer,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){return __generator(this,function(r){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.fit(e,t,n)]})})},t.fromConfig=function(e,n){var r=new e({});if(!(r instanceof t))throw new ValueError(\"Sequential.fromConfig called on non-Sequential input: \"+r);if(!(n instanceof Array))throw new ValueError(\"Sequential.fromConfig called without an array of configs\");if(null==n[0].className||\"Merge\"===n[0].className)throw new ValueError(\"Legacy serialization format not supported yet.\");for(var i=0,a=n;i<a.length;i++){var o=deserialize(a[i]);r.add(o)}return r},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.model.stopTraining=e},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push({className:r.getClassName(),config:r.getConfig()})}return e},t.className=\"Sequential\",t}(Model);function model(e){return new Model(e)}function sequential(e){return new Sequential(e)}function loadModel(e,t){return void 0===t&&(t=!0),loadModelInternal(e,t)}function input(e){return Input(e)}function registerCallbackConstructor(e,t){CallbackConstructorRegistry.registerCallbackConstructor(e,t)}serialization.registerClass(Sequential);var Activation=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Elu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),elu$1(e,t)},t.className=\"elu\",t}(Activation);serialization.registerClass(Elu);var Selu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return selu(e)},t.className=\"selu\",t}(Activation);serialization.registerClass(Selu);var Relu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"relu\",t}(Activation);serialization.registerClass(Relu);var Relu6=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tidy(function(){return minimum(getScalar(6),relu(e))})},t.className=\"relu6\",t}(Activation);serialization.registerClass(Relu6);var Linear=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return e},t.className=\"linear\",t}(Activation);serialization.registerClass(Linear);var Sigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return sigmoid(e)},t.className=\"sigmoid\",t}(Activation);serialization.registerClass(Sigmoid);var HardSigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return hardSigmoid(e)},t.className=\"hardSigmoid\",t}(Activation);serialization.registerClass(HardSigmoid);var Softplus=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softplus(e)},t.className=\"softplus\",t}(Activation);serialization.registerClass(Softplus);var Softsign=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softsign(e)},t.className=\"softsign\",t}(Activation);serialization.registerClass(Softsign);var Tanh=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tanh(e)},t.className=\"tanh\",t}(Activation);serialization.registerClass(Tanh);var Softmax=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),softmax(e,t)},t.className=\"softmax\",t}(Activation);function serializeActivation(e){return e.getClassName()}function deserializeActivation(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"activation\")}function getActivation(e){return null==e?deserializeActivation({className:\"linear\",config:{}}):\"string\"==typeof e?deserializeActivation({className:e,config:{}}):e instanceof Activation?e:deserializeActivation(e)}serialization.registerClass(Softmax);var ReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.supportsMasking=!0,null!=t&&(n.maxValue=t.maxValue),n}return __extends(t,e),t.prototype.call=function(e,t){e=getExactlyOneTensor(e);var n=relu(e);return null!=this.maxValue&&(n=clipByValue(n,0,this.maxValue)),n},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={maxValue:this.maxValue},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ReLU\",t}(Layer);serialization.registerClass(ReLU);var LeakyReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return leakyRelu(n,this.alpha)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LeakyReLU\",t}(Layer);serialization.registerClass(LeakyReLU);var ELU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new NotImplementedError(\"Non-default alpha value (\"+t.alpha+\") is not supported by the ELU layer yet.\");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return elu(n)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ELU\",t}(Layer);serialization.registerClass(ELU);var ThresholdedReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n.thetaTensor=getScalar(n.theta),n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return n.mul(cast$1(n.greater(this.thetaTensor),\"float32\"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ThresholdedReLU\",t}(Layer);serialization.registerClass(ThresholdedReLU);var Softmax$1=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new Softmax).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return this.softmax(n,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Softmax\",t}(Layer);serialization.registerClass(Softmax$1);var Regularizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(serialization.Serializable),L1L2=function(e){function t(t){var n=e.call(this)||this,r=null==t||null==t.l1?.01:t.l1,i=null==t||null==t.l2?.01:t.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=getScalar(r),n.l2=getScalar(i),n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=zeros([1]);return t.hasL1&&(n=add(n,sum(mul(t.l1,abs(e))))),t.hasL2&&(n=add(n,sum(mul(t.l2,square(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className=\"L1L2\",t}(Regularizer);function l1(e){return new L1L2({l1:null!=e?e.l1:null,l2:0})}function l2(e){return new L1L2({l2:null!=e?e.l2:null,l1:0})}serialization.registerClass(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={l1l2:\"L1L2\"};function serializeRegularizer(e){return serializeKerasObject(e)}function deserializeRegularizer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function getRegularizer(e){return null==e?null:\"string\"==typeof e?deserializeRegularizer({className:e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Regularizer?e:deserializeRegularizer(e)}function normalizeArray(e,t,n){if(\"number\"==typeof e)return pyListRepeat(e,t);if(e.length!==t)throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+e.length+\" elements.\");for(var r=0;r<t;++r){var i=e[r];if(!isInteger(i))throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+JSON.stringify(e)+\" including a non-integer number \"+i)}return e}function convOutputLength(e,t,n,r,i){return void 0===i&&(i=1),null==e?e:(a=\"same\"===n?e:e-(t+(t-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function deconvLength(e,t,n,r){if(null==e)return null;if(\"valid\"===r)e=e*t+max$1([n-t,0]);else{if(\"same\"!==r)throw new ValueError(\"Unsupport padding mode: \"+r+\".\");e*=t}return e}function preprocessConv2DInput(e,t){return tidy(function(){return checkDataFormat(t),\"channelsFirst\"===t?transpose(e,[0,2,3,1]):e})}function conv1dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i=\"valid\"),void 0===o&&(o=1),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.shape.length)throw new ValueError(\"The input of a conv1dWithBias operation should be 3, but is \"+e.shape.length+\" instead.\");if(3!==t.shape.length)throw new ValueError(\"The kernel for a conv1dWithBias operation should be 3, but is \"+t.shape.length+\" instead\");if(null!=n&&1!==n.shape.length)throw new ValueError(\"The bias for a conv1dWithBias operation should be 1, but is \"+t.shape.length+\" instead\");if(\"channelsFirst\"===a&&(e=transpose(e,[0,2,1])),\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");var s=conv1d(e,t,r,\"same\"===i?\"same\":\"valid\",\"NWC\",o);return null!=n&&(s=biasAdd(s,n)),s})}function conv2dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=[1,1]),void 0===i&&(i=\"valid\"),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.rank&&4!==e.rank)throw new ValueError(\"conv2dWithBias expects input to be of rank 3 or 4, but received \"+e.rank+\".\");if(3!==t.rank&&4!==t.rank)throw new ValueError(\"conv2dWithBias expects kernel to be of rank 3 or 4, but received \"+e.rank+\".\");var s=preprocessConv2DInput(e,a);if(\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return s=conv2d(s,t,r,\"same\"===i?\"same\":\"valid\",\"NHWC\",o),null!=n&&(s=biasAdd(s,n)),\"channelsFirst\"===a&&(s=transpose(s,[0,3,1,2])),s})}var BaseConv=function(e){function t(n,r){var i=e.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",i.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.verifyConfig(r),i.rank=n,1!==i.rank&&2!==i.rank)throw new NotImplementedError(\"Convolution layer for rank other than 1 or 2 (\"+i.rank+\") is not implemented yet.\");if(i.kernelSize=normalizeArray(r.kernelSize,n,\"kernelSize\"),i.strides=normalizeArray(null==r.strides?1:r.strides,n,\"strides\"),i.padding=null==r.padding?\"valid\":r.padding,checkPaddingMode(i.padding),i.dataFormat=null==r.dataFormat?\"channelsLast\":r.dataFormat,checkDataFormat(i.dataFormat),i.activation=getActivation(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=getInitializer(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=getConstraint(r.biasConstraint),i.biasRegularizer=getRegularizer(r.biasRegularizer),i.activityRegularizer=getRegularizer(r.activityRegularizer),i.dilationRate=normalizeArray(null==r.dilationRate?1:r.dilationRate,n,\"dilationRate\"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or an array of a single number for 1D convolution, but received \"+JSON.stringify(i.dilationRate));if(2===i.rank)if(\"number\"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or array of two numbers for 2D convolution, but received \"+JSON.stringify(i.dilationRate));return i}return __extends(t,e),t.verifyConfig=function(e){if(assert(\"kernelSize\"in e,\"required key 'kernelSize' not in config\"),\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:serializeActivation(this.activation),useBias:this.useBias,biasInitializer:serializeInitializer(this.biasInitializer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),Conv=function(e){function t(n,r){var i=e.call(this,n,r)||this;return i.kernel=null,t.verifyConfig(r),i.filters=r.filters,i.kernelInitializer=getInitializer(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=getConstraint(r.kernelConstraint),i.kernelRegularizer=getRegularizer(r.kernelRegularizer),i}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the input should be defined. Found \"+e[t]);var n,r=e[t],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;e=getExactlyOneTensor(e);var r=null==n.bias?null:n.bias.read();if(1===n.rank)t=conv1dWithBias(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=conv2dWithBias(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new NotImplementedError(\"3D convolution is not implemented yet.\");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);for(var t=[],n=\"channelsLast\"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var i=convOutputLength(n[r],this.kernelSize[r],this.padding,this.strides[r],\"number\"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(i)}var a=[e[0]];return\"channelsLast\"===this.dataFormat?(a=a.concat(t)).push(this.filters):(a.push(this.filters),a=a.concat(t)),a},t.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:serializeInitializer(this.kernelInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!(\"filters\"in e)||\"number\"!=typeof e.filters||e.filters<1)throw new ValueError(\"Convolution layer expected config.filters to be a 'number' > 0 but got \"+JSON.stringify(e.filters))},t}(BaseConv),Conv2D=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv2D\",t}(Conv);serialization.registerClass(Conv2D);var Conv2DTranspose=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new InputSpec({ndim:4})],\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode \"+n.padding);return n}return __extends(t,e),t.prototype.build=function(e){if(4!==(e=getExactlyOneShape(e)).length)throw new ValueError(\"Input should have rank 4; Received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the inputs should be defined. Found `None`.\");var n,r=e[t],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight(\"kernel\",i,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new InputSpec({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);if(4!==t.shape.length)throw new ValueError(\"Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-\"+t.shape.length);var r,i,a=t.shape,o=a[0];\"channelsFirst\"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],l=a[i],u=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[o,deconvLength(s,p,u,n.padding),deconvLength(l,h,c,n.padding),n.filters];\"channelsLast\"!==n.dataFormat&&(t=transpose(t,[0,2,3,1]));var g=conv2dTranspose(t,n.kernel.read(),d,n.strides,n.padding);return\"channelsLast\"!==n.dataFormat&&(g=transpose(g,[0,3,1,2])),null!=n.bias&&(g=biasAdd(g,n.bias.read(),n.dataFormat)),null!=n.activation&&(g=n.activation.apply(g)),g})},t.prototype.computeOutputShape=function(e){var t,n,r,i=(e=getExactlyOneShape(e)).slice();\"channelsFirst\"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],l=this.strides[1];return i[t]=this.filters,i[n]=deconvLength(i[n],s,a,this.padding),i[r]=deconvLength(i[r],l,o,this.padding),i},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className=\"Conv2DTranspose\",t}(Conv2D);serialization.registerClass(Conv2DTranspose);var SeparableConv=function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",r.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new ValueError(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new ValueError(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(null!=n.padding&&\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"SeparableConv\"+r.rank+\"D supports only padding modes: 'same' and 'valid', but received \"+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=getRegularizer(n.depthwiseRegularizer),r.depthwiseConstraint=getConstraint(n.depthwiseConstraint),r.pointwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=getRegularizer(n.pointwiseRegularizer),r.pointwiseConstraint=getConstraint(n.pointwiseConstraint),r}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<this.rank+2)throw new ValueError(\"Inputs to SeparableConv\"+this.rank+\"D should have rank \"+(this.rank+2)+\", but received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs should be defined, but found \"+JSON.stringify(e[t]));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),i=[],a=0;a<this.rank;++a)i.push(1);i.push(n*this.depthMultiplier,this.filters);var o;this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,\"float32\",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight(\"pointwise_kernel\",i,\"float32\",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new InputSpec({ndim:this.rank+2,axes:(o={},o[t]=n,o)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;if(e=getExactlyOneTensor(e),1===n.rank)throw new NotImplementedError(\"1D separable convolution is not implemented yet.\");return 2===n.rank&&(\"channelsFirst\"===n.dataFormat&&(e=transpose(e,[0,2,3,1])),t=separableConv2d(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,\"NHWC\")),n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),\"channelsFirst\"===n.dataFormat&&(t=transpose(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.pointwiseInitializer=serializeInitializer(this.pointwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.pointwiseRegularizer=serializeRegularizer(this.pointwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseConstraint),t.pointwiseConstraint=serializeConstraint(this.pointwiseConstraint),t},t.className=\"SeparableConv\",t}(Conv),SeparableConv2D=function(e){function t(t){return e.call(this,2,t)||this}return __extends(t,e),t.className=\"SeparableConv2D\",t}(SeparableConv);serialization.registerClass(SeparableConv2D);var Conv1D=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,1))throw new ValueError(\"Conv1D expects config.kernelSize to be number or number[] with length 1, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv1D\",t}(Conv);serialization.registerClass(Conv1D);var Cropping2D=function(e){function t(t){var n=e.call(this,t)||this;return\"number\"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:\"number\"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n.inputSpec=[{ndim:4}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return\"channelsFirst\"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return e=getExactlyOneTensor(e),\"channelsLast\"===n.dataFormat?sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Cropping2D\",t}(Layer);serialization.registerClass(Cropping2D);var UpSampling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,n}return __extends(t,e),t.prototype.computeOutputShape=function(e){if(\"channelsFirst\"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2];return[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e),r=t.shape;if(\"channelsFirst\"===n.dataFormat){t=transpose(t,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=t.resizeNearestNeighbor([i,a]);return transpose(o,[0,3,1,2])}i=n.size[0]*r[1],a=n.size[1]*r[2];return t.resizeNearestNeighbor([i,a])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"UpSampling2D\",t}(Layer);function depthwiseConv2d$1(e,t,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r=\"valid\"),tidy(function(){null==i&&(i=imageDataFormat()),checkDataFormat(i);var o=preprocessConv2DInput(e,i);if(4!==e.rank)throw new ValueError(\"Input for depthwiseConv2d is required to be 4-D, but is instead \"+e.rank+\"-D\");if(4!==t.rank)throw new ValueError(\"depthwiseKernel is required to be 4-D, but is instead \"+t.rank+\"-D\");return o=depthwiseConv2d(o,t,n,\"same\"===r?\"same\":\"valid\",\"NHWC\",a),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(UpSampling2D);var DepthwiseConv2D=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=getInitializer(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=getConstraint(t.depthwiseConstraint),n.depthwiseRegularizer=getRegularizer(t.depthwiseRegularizer),n}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<4)throw new ValueError(\"Inputs to DepthwiseConv2D should have rank 4. Received input shape: \"+JSON.stringify(e)+\".\");var t=\"channelsFirst\"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (\"+e[t]+\").\");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=depthwiseConv2d$1(e=getExactlyOneTensor(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2],r=\"channelsFirst\"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,i=convOutputLength(t,this.kernelSize[0],this.padding,this.strides[0]),a=convOutputLength(n,this.kernelSize[1],this.padding,this.strides[1]);return\"channelsFirst\"===this.dataFormat?[e[0],r,i,a]:[e[0],i,a,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseRegularizer),t},t.className=\"DepthwiseConv2D\",t}(BaseConv);serialization.registerClass(DepthwiseConv2D);var Dropout=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=getScalar(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Non-default seed is not implemented in Dropout layer yet: \"+n.seed);return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);if(null!=n.noiseShape&&!util.arraysEqual(r.shape,n.noiseShape))throw new NotImplementedError(\"Non-default noise shape is not implemented in Dropout layer yet: \"+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,a=n.getNoiseShape(r);return inTrainPhase(function(){return dropout(r,n.rateScalar,a,n.seed)},function(){return r},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dropout\",t}(Layer);serialization.registerClass(Dropout);var Dense=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=getActivation(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=getConstraint(t.kernelConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return __extends(t,e),t.prototype.build=function(e){var t,n=(e=getExactlyOneShape(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight(\"kernel\",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=dot(getExactlyOneTensor(e),n.kernel.read());return null!=n.bias&&(r=biasAdd(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dense\",t}(Layer);serialization.registerClass(Dense);var Flatten=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=getExactlyOneShape(e)).slice(1);t<n.length;t++){if(null==n[t])throw new ValueError('The shape of the input to \"Flatten\" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.')}return[e[0],arrayProd(e,1)]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),batchFlatten(getExactlyOneTensor(e))})},t.className=\"Flatten\",t}(Layer);serialization.registerClass(Flatten);var Activation$1=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=getActivation(t.activation),n}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:serializeActivation(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Activation\",t}(Layer);serialization.registerClass(Activation$1);var RepeatVector=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return repeat(e=getExactlyOneTensor(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"RepeatVector\",t}(Layer);serialization.registerClass(RepeatVector);var Reshape=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return __extends(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n=\"Total size of new array must be unchanged.\",r=t.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new ValueError(\"Can only specifiy one unknown dimension.\");a=o}else i*=s}var l=arrayProd(e);if(null!==a){if(0===i||l%i!=0)throw new ValueError(n);r[a]=l/i}else if(l!==i)throw new ValueError(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e),i=r.shape,a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Reshape\",t}(Layer);serialization.registerClass(Reshape);var Permute=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(\"Permute constructor requires `dims` to be an Array, but received \"+t.dims+\" instead.\");var r=range(1,t.dims.length+1);if(!util.arraysEqual(t.dims.slice().sort(),r))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new InputSpec({ndim:n.dims.length+1})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return transpose(getExactlyOneTensor(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Permute\",t}(Layer);serialization.registerClass(Permute);var Embedding=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(toList(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=getInitializer(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=getRegularizer(t.embeddingsRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.embeddingsConstraint=getConstraint(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return __extends(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Embedding yet\")},t.prototype.computeOutputShape=function(e){if(e=getExactlyOneShape(e),null==this.inputLength)return e.concat([this.outputDim]);var t=toList(this.inputLength);if(t.length!==e.length-1)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);for(var n=0,r=0;r<t.length;++r){var i=t[r],a=e[r+1];if(null!=i&&null!=a&&i!==a)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);null==i&&(t[n]=a),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return\"int32\"!==r.dtype&&(r=cast$1(r,\"int32\")),gather$1(n.embeddings.read(),r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:serializeInitializer(this.embeddingsInitializer),embeddingsRegularizer:serializeRegularizer(this.embeddingsRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),embeddingsConstraint:serializeConstraint(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Embedding\",t}(Layer);serialization.registerClass(Embedding);var Merge=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.mergeFunction=function(e){throw new NotImplementedError},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var i=e[e.length-t.length+r],a=t[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new ValueError(\"Operands could not be broadcast together with shapes \"+JSON.stringify(e)+\" \"+JSON.stringify(t));n.push(i)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[getExactlyOneShape(e)]),(e=e).length<2)throw new ValueError(\"A merge layer should be called on an Array of at least 2 inputs. Got \"+e.length+\" input(s).\");for(var t=[],n=0,r=e;n<r.length;n++){null!=(o=r[n])&&null!==o[0]&&t.push(o[0])}if((t=unique(t)).length>1)throw new ValueError(\"Can not merge tensors with different batch sizes. Got tensors with shapes: \"+JSON.stringify(e)+\".\");for(var i=null==e[0]?null:e[0].slice(1),a=1;a<e.length;++a){var o=null==e[a]?null:e[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===unique(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(e=e,n.reshapeRequired){var t=[],r=e.map(function(e){return e.rank});if(-1===r.indexOf(null)){for(var i=max$1(r),a=0,o=e;a<o.length;a++){for(var s=(h=o[a]).rank,l=0;l<i-s;++l)h=expandDims(h,1);t.push(h)}return n.mergeFunction(t)}for(var u=!1,c=0,p=e;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var d=h.shape,g=d[0],f=d.slice(1).concat([g]),m=h.reshape([g].concat(arrayProd(d.slice(1))));m=(m=transpose(m,[1,0])).reshape(f),t.push(m),u=!0}else if(s>1){var y=range(1,s).concat([0]);t.push(transpose(h,y)),u=!0}else t.push(h)}var v=n.mergeFunction(t),b=v.rank;if(u)if(null==b){var w=v.shape;f=[g=w[w.length-1]].concat(w.slice(0,w.length-1));v=transpose(v.reshape([-1,g]),[1,0]).reshape(f)}else if(b>1){y=[b-1].concat(range(0,b-1));v=transpose(v,y)}return v}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var i=[],a=0,o=e;a<o.length;a++){null!=(r=o[a])&&null!==r[0]&&i.push(r[0])}return t=1===(i=unique(i)).length?i.concat(t):[null].concat(t)},t}(Layer),Add=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return t})},t.className=\"Add\",t}(Merge);serialization.registerClass(Add);var Multiply=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=mul(t,e[n]);return t})},t.className=\"Multiply\",t}(Merge);serialization.registerClass(Multiply);var Average=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return mul(getScalar(1/e.length),t)})},t.className=\"Average\",t}(Merge);serialization.registerClass(Average);var Maximum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=maximum(t,e[n]);return t})},t.className=\"Maximum\",t}(Merge);serialization.registerClass(Maximum);var Minimum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=minimum(t,e[n]);return t})},t.className=\"Minimum\",t}(Merge);serialization.registerClass(Minimum);var Concatenate=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new ValueError(\"A `Concatenate` layer should be called on a list of at least 2 inputs\");for(var t=!0,n=0,r=e=e;n<r.length;n++){if(null!=(c=r[n])){t=!1;break}}if(!t){for(var i=[],a=0;a<e.length;++a){var o=e[a].slice();o.splice(this.axis,1);for(var s=!1,l=0,u=i;l<u.length;l++){var c=u[l];if(util.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new ValueError(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return tidy(function(){return concatenate(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new ValueError(\"A `Concatenate` layer should be called on a list of inputs.\");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=t.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Concatenate\",t}(Merge);function batchNormalization(e,t,n,r,i,a){var o;if(void 0===a&&(a=.001),2===e.rank)o=batchNormalization2d(e,t,n,a,i,r);else if(3===e.rank)o=batchNormalization3d(e,t,n,a,i,r);else{if(4!==e.rank)throw new NotImplementedError(\"batchNormalization is not implememnted for array of rank \"+e.rank+\" yet\");o=batchNormalization4d(e,t,n,a,i,r)}return o}function regularNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){var a=moments(e,r),o=a.mean,s=a.variance;return[batchNormalization(e,o,s,n,t,i),o,s]})}function broadcastNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){for(var a=moments(e,r),o=a.mean,s=a.variance,l=[],u=0,c=range(0,e.rank);u<c.length;u++){var p=c[u];-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=o.reshape(l),d=s.reshape(l),g=null==t?null:t.reshape(l),f=null==n?null:n.reshape(l);return[batchNormalization(e,h,d,f,g,i),o,s]})}function normalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),util.arraysEqual(r.slice().sort(),range(0,e.rank-1))?regularNormalizeBatchInTraining(e,t,n,r,i):broadcastNormalizeBatchInTraining(e,t,n,r,i)}serialization.registerClass(Concatenate);var BatchNormalization=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=getInitializer(t.betaInitializer||\"zeros\"),n.gammaInitializer=getInitializer(t.gammaInitializer||\"ones\"),n.movingMeanInitializer=getInitializer(t.movingMeanInitializer||\"zeros\"),n.movingVarianceInitializer=getInitializer(t.movingVarianceInitializer||\"ones\"),n.betaConstraint=getConstraint(t.betaConstraint),n.gammaConstraint=getConstraint(t.gammaConstraint),n.betaRegularizer=getRegularizer(t.betaRegularizer),n.gammaRegularizer=getRegularizer(t.gammaRegularizer),n.stepCount=0,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new ValueError(\"Axis \"+t+\" of input tensor should have a defined dimension but the layer received an input with shape \"+JSON.stringify(e)+\".\");this.inputSpec=[new InputSpec({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,i=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training,i=getExactlyOneTensor(e),a=i.shape,o=a.length,s=range(0,o),l=n.axis>=0?n.axis:n.axis+o;s.splice(l,1);var u=pyListRepeat(1,o);u[l]=a[l];var c=s.slice();c.sort();var p=!util.arraysEqual(c,range(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(u),t=n.movingVariance.read().reshape(u),r=n.center?n.beta.read().reshape(u):null,a=n.scale?n.gamma.read().reshape(u):null;return batchNormalization(i,e,t,r,a,n.epsilon)}return batchNormalization(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=normalizeBatchInTraining(i,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],g=h[1],f=h[2],m=arrayProd(s.map(function(e){return i.shape[e]})),y=f.mul(getScalar(m/(m-(1+n.epsilon))));return function(){n.stepCount++;var e=movingAverage(n.movingMean.read(),g,n.momentum,n.stepCount);n.movingMean.write(e);var t=movingAverage(n.movingVariance.read(),y,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:serializeInitializer(this.betaInitializer),gammaInitializer:serializeInitializer(this.gammaInitializer),movingMeanInitializer:serializeInitializer(this.movingMeanInitializer),movingVarianceInitializer:serializeInitializer(this.movingVarianceInitializer),betaRegularizer:serializeRegularizer(this.betaRegularizer),gammaRegularizer:serializeRegularizer(this.gammaRegularizer),betaConstraint:serializeConstraint(this.betaConstraint),gammaConstraint:serializeConstraint(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"BatchNormalization\",t}(Layer);function spatial2dPadding(e,t,n){return tidy(function(){if(4!==e.rank)throw new ValueError(\"temporalPadding expects input tensor to be 4-D, but received a \"+e.rank+\"-D tensor.\");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new ValueError(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(null==n&&(n=imageDataFormat()),\"channelsLast\"!==n&&\"channelsFirst\"!==n)throw new ValueError(\"Unknown data format: \"+n+\". Supported data formats are 'channelsLast' and 'channelsFirst.\");var r;return r=\"channelsFirst\"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],pad(e,r)})}serialization.registerClass(BatchNormalization);var ZeroPadding2D=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?imageDataFormat():t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if(\"number\"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new ValueError(\"ZeroPadding2D expects padding to be a length-2 array, but received a length-\"+t.padding.length+\" array.\");var r=void 0,i=void 0;if(\"number\"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new ValueError(\"ZeroPadding2D expects height padding to be a length-2 array, but received a length-\"+t.padding[0].length+\" array.\");if(r=t.padding[0],2!==t.padding[1].length)throw new ValueError(\"ZeroPadding2D expects width padding to be a length-2 array, but received a length-\"+t.padding[1].length+\" array.\");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=getExactlyOneShape(e),\"channelsFirst\"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return tidy(function(){return spatial2dPadding(getExactlyOneTensor(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ZeroPadding2D\",t}(Layer);function pool2d(e,t,n,r,i,a){return tidy(function(){var o;checkDataFormat(i),checkPoolMode(a),checkPaddingMode(r),null==n&&(n=[1,1]),null==r&&(r=\"valid\"),null==i&&(i=imageDataFormat()),null==a&&(a=\"max\"),e=preprocessConv2DInput(e,i);var s=\"same\"===r?\"same\":\"valid\";return o=\"max\"===a?maxPool(e,t,n,s):avgPool(e,t,n,s),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(ZeroPadding2D);var Pooling1D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,\"number\"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||\"number\"!=typeof t.poolSize[0])throw new ValueError(\"poolSize for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if(\"number\"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||\"number\"!=typeof t.strides[0])throw new ValueError(\"strides for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?\"valid\":t.padding,checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=convOutputLength((e=getExactlyOneShape(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t),e=expandDims(getExactlyOneTensor(e),2);var r=n.poolingFunction(getExactlyOneTensor(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,\"channelsLast\");return squeeze(r,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling1D\",t}(Pooling1D);serialization.registerClass(MaxPooling1D);var AveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling1D\",t}(Pooling1D);serialization.registerClass(AveragePooling1D);var Pooling2D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new ValueError(\"If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length \"+t.strides.length+\".\");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?\"valid\":t.padding,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2];return t=convOutputLength(t,this.poolSize[0],this.padding,this.strides[0]),n=convOutputLength(n,this.poolSize[1],this.padding,this.strides[1]),\"channelsFirst\"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),n.poolingFunction(getExactlyOneTensor(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling2D\",t}(Pooling2D);serialization.registerClass(MaxPooling2D);var AveragePooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling2D\",t}(Pooling2D);serialization.registerClass(AveragePooling2D);var GlobalPooling1D=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new NotImplementedError},t}(Layer),GlobalAveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return mean(t,1)})},t.className=\"GlobalAveragePooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalAveragePooling1D);var GlobalMaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return max(t,1)})},t.className=\"GlobalMaxPooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalMaxPooling1D);var GlobalPooling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return e=e,\"channelsLast\"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new NotImplementedError},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),GlobalAveragePooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?mean(t,[1,2]):mean(t,[2,3])})},t.className=\"GlobalAveragePooling2D\",t}(GlobalPooling2D);serialization.registerClass(GlobalAveragePooling2D);var GlobalMaxPooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?max(t,[1,2]):max(t,[2,3])})},t.className=\"GlobalMaxPooling2D\",t}(GlobalPooling2D);function standardizeArgs(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new ValueError(\"When inputs is an array, neither initialState or constants should be provided\");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function i(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=i(t),constants:n=i(n)}}function rnn(e,t,n,r,i,a,o,s){void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1);var l=t.shape.length;if(l<3)throw new ValueError(\"Input should be at least 3D, but is \"+l+\"D.\");var u,c,p=[1,0].concat(range(2,l));if(t=transpose(t,p),null!=i)throw new NotImplementedError(\"The rnn() function of the deeplearn.js backend does not support masking yet.\");if(null!=a)throw new NotImplementedError(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");o&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),r&&(t=reverse(t,0));for(var h=n,d=t.shape[0],g=function(n){var r=sliceAlongFirstAxis(t,n,1);r=r.reshape(r.shape.slice(1));var i=tidy(function(){return e(r,h)});if(c=i[0],s)if(0===n)u=c.expandDims(1);else{var a=concat([u,c.expandDims(1)],1);u.dispose(),u=a}h=i[1]},f=0;f<d;++f)g(f);return[c,u,h]}serialization.registerClass(GlobalMaxPooling2D);var RNN=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new ValueError(\"cell property is missing for the constructor of RNN.\");if(null==(n=Array.isArray(t.cell)?new StackedRNNCells({cells:t.cell}):t.cell).stateSize)throw new ValueError(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new InputSpec({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return __extends(t,e),t.prototype.getStates=function(){return null==this.states?range(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var i=[],a=0,o=t;a<o.length;a++){var s=o[a];i.push([e[0],s])}return[n].concat(i)}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for RNN yet\")},t.prototype.build=function(e){if(null!=this.numConstants)throw new NotImplementedError(\"Constants support is not implemented in RNN yet.\");isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new InputSpec({shape:[t,null,n]});var r,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),r))throw new ValueError(\"An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=\"+this.stateSpec+\"; However cell.stateSize is \"+this.cell.stateSize)}else this.stateSpec=r.map(function(e){return new InputSpec({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e){var t=this;tidy(function(){if(!t.stateful)throw new AttributeError(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");var n=t.inputSpec[0].shape[0];if(null==n)throw new ValueError(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(null==t.states)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states=[zeros([n,t.cell.stateSize])];else if(null==e)dispose(t.states),null!=t.keptStates&&(dispose(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states[0]=zeros([n,t.cell.stateSize]);else{if(t.keptStates.push(t.states.slice()),Array.isArray(e)||(e=[e]),e.length!==t.states.length)throw new ValueError(\"Layer \"+t.name+\" expects \"+t.states.length+\" state(s), but it received \"+e.length+\" state value(s). Input received: \"+e);for(var r=0;r<t.states.length;++r){var i=e[r],a=Array.isArray(t.cell.stateSize)?t.cell.stateSize[r]:t.cell.stateSize,o=[n,a];if(!util.arraysEqual(i.shape,o))throw new ValueError(\"State \"+r+\" is incompatible with layer \"+t.name+\": expected shape=\"+o+\", received shape=\"+i.shape);t.states[r]=i}}t.states.forEach(function(e){return keep(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);t=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var l=0,u=r;l<u.length;l++){var c=u[l];this.stateSpec.push(new InputSpec({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof SymbolicTensor){var p=[t].concat(o),h=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=h;var g=e.prototype.apply.call(this,p,n);return this.inputSpec=d,g}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null==t?null:t.mask,i=null==t?null:t.training,a=null==t?null:t.initialState;if(e=getExactlyOneTensor(e),null==a&&(a=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new NotImplementedError(\"Masking is not implemented for RNN yet\");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new ValueError(\"RNN Layer has \"+o+\" state(s) but was passed \"+a.length+\" initial state(s).\");n.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");var s={training:i},l=rnn(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,a,n.goBackwards,null,null,n.unroll,n.returnSequences),u=l[0],c=l[1],p=l[2];n.stateful&&n.resetStates(p);var h=n.returnSequences?c:u;return n.returnState?[h].concat(p):h})},t.prototype.getInitialState=function(e){var t=this;return tidy(function(){var n=zeros(e.shape);return n=expandDims(n=sum(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?tile$1(n,[1,e]):n}):t.cell.stateSize>1?[tile$1(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className=\"RNN\",t}(Layer);serialization.registerClass(RNN);var RNNCell=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(Layer),SimpleRNNCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e),this.kernel=this.addWeight(\"kernel\",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"SimpleRNNCell expects 2 input Tensors, got \"+e.length+\".\");var r=e[1];e=e[0];var i,a=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,a)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(r)},n.recurrentDropout,a));var o=n.dropoutMask,s=n.recurrentDropoutMask;i=dot(null!=o?mul(e,o):e,n.kernel.read()),null!=n.bias&&(i=biasAdd(i,n.bias.read())),null!=s&&(r=mul(r,s));var l=add(i,dot(r,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"SimpleRNNCell\",t}(RNNCell);serialization.registerClass(SimpleRNNCell);var SimpleRNN=function(e){function t(t){return t.cell=new SimpleRNNCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className=\"SimpleRNN\",t}(RNN);serialization.registerClass(SimpleRNN);var GRUCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t=(e=getExactlyOneShape(e))[e.length-1];this.kernel=this.addWeight(\"kernel\",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"GRUCell expects 2 input Tensors (inputs, h, c), got \"+e.length+\".\");var r=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,3));var a,o,s,l=n.dropoutMask,u=n.recurrentDropoutMask;if(1===n.implementation){var c=sliceAlongLastAxis(n.kernel.read(),0,n.units),p=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),h=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),d=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),g=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),f=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),m=void 0,y=void 0,v=void 0;0<n.dropout&&n.dropout<1?(m=mul(e,l[0]),y=mul(e,l[1]),v=mul(e,l[2])):(m=e,y=e,v=e);var b=dot(m,c),w=dot(y,p),z=dot(v,h);if(n.useBias){var S=sliceAlongFirstAxis(n.bias.read(),0,n.units),A=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),I=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units);b=biasAdd(b,S),w=biasAdd(w,A),z=biasAdd(z,I)}var C=void 0,N=void 0,E=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(C=mul(i,u[0]),N=mul(i,u[1]),E=mul(i,u[2])):(C=i,N=i,E=i),a=n.recurrentActivation.apply(add(b,dot(C,d))),o=n.recurrentActivation.apply(add(w,dot(N,g))),s=n.activation.apply(add(z,dot(mul(o,E),f)))}else{0<n.dropout&&n.dropout<1&&(e=mul(e,l[0]));var _=dot(e,n.kernel.read());n.useBias&&(_=biasAdd(_,n.bias.read())),0<n.dropout&&n.dropout<1&&(i=mul(i,u[0]));var k=dot(i,sliceAlongLastAxis(n.recurrentKernel.read(),0,2*n.units)),L=(b=sliceAlongLastAxis(_,0,n.units),w=sliceAlongLastAxis(_,n.units,n.units),sliceAlongLastAxis(k,0,n.units)),x=sliceAlongLastAxis(k,n.units,n.units);a=n.recurrentActivation.apply(add(b,L)),o=n.recurrentActivation.apply(add(w,x));z=sliceAlongLastAxis(_,2*n.units,n.units);var T=dot(mul(o,i),sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units));s=n.activation.apply(add(z,T))}var R=add(mul(a,i),mul(add(getScalar(1),neg(a)),s));return[R,R]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"GRUCell\",t}(RNNCell);serialization.registerClass(GRUCell);var GRU=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new GRUCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"GRU\",t}(RNN);serialization.registerClass(GRU);var LSTMCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t,n,r=(e=getExactlyOneShape(e))[e.length-1];if(this.kernel=this.addWeight(\"kernel\",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){var n=i.apply([a]),r=(new Ones).apply([a]),o=i.apply([2*a]);return concatAlongFirstAxis(concatAlongFirstAxis(n,r),o)},t}(Initializer)).className=\"CustomInit\",n)}else t=this.biasInitializer;this.bias=this.addWeight(\"bias\",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new ValueError(\"LSTMCell expects 3 input Tensors (inputs, h, c), got \"+e.length+\".\");var i=e[1],a=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,4));var o,s,l,u,c=n.dropoutMask,p=n.recurrentDropoutMask;if(1===n.implementation){var h=sliceAlongLastAxis(n.kernel.read(),0,n.units),d=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),g=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),f=sliceAlongLastAxis(n.kernel.read(),3*n.units,n.units),m=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),y=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),v=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),b=sliceAlongLastAxis(n.recurrentKernel.read(),3*n.units,n.units),w=void 0,z=void 0,S=void 0,A=void 0;0<n.dropout&&n.dropout<1?(w=mul(e,c[0]),z=mul(e,c[1]),S=mul(e,c[2]),A=mul(e,c[3])):(w=e,z=e,S=e,A=e);var I=dot(w,h),C=dot(z,d),N=dot(S,g),E=dot(A,f);if(n.useBias){var _=sliceAlongFirstAxis(n.bias.read(),0,n.units),k=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),L=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units),x=sliceAlongFirstAxis(n.bias.read(),3*n.units,n.units);I=biasAdd(I,_),C=biasAdd(C,k),N=biasAdd(N,L),E=biasAdd(E,x)}var T=void 0,R=void 0,O=void 0,D=void 0;0<n.recurrentDropout&&n.recurrentDropout<1?(T=mul(i,p[0]),R=mul(i,p[1]),O=mul(i,p[2]),D=mul(i,p[3])):(T=i,R=i,O=i,D=i),o=n.recurrentActivation.apply(add(I,dot(T,m))),s=n.recurrentActivation.apply(add(C,dot(R,y))),l=add(mul(s,a),mul(o,n.activation.apply(add(N,dot(O,v))))),u=n.recurrentActivation.apply(add(E,dot(D,b)))}else{0<n.dropout&&n.dropout<1&&(e=mul(e,c[0]));var M=dot(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=mul(i,p[0])),M=add(M,dot(i,n.recurrentKernel.read())),n.useBias&&(M=biasAdd(M,n.bias.read()));var P=sliceAlongLastAxis(M,0,n.units),V=sliceAlongLastAxis(M,n.units,n.units),F=sliceAlongLastAxis(M,2*n.units,n.units),B=sliceAlongLastAxis(M,3*n.units,n.units);o=n.recurrentActivation.apply(P),s=n.recurrentActivation.apply(V),l=add(mul(s,a),mul(o,n.activation.apply(F))),u=n.recurrentActivation.apply(B)}var U=mul(u,n.activation.apply(l));return[U,U,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LSTMCell\",t}(RNNCell);serialization.registerClass(LSTMCell);var LSTM=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new LSTMCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"unitForgetBias\",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"LSTM\",t}(RNN);serialization.registerClass(LSTM);var StackedRNNCells=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return __extends(t,e),Object.defineProperty(t.prototype,\"stateSize\",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return tidy(function(){for(var r=(e=e).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var l,u=[],c=0;c<n.cells.length;++c){s=n.cells[c];r=i[c],l=0===c?[e[0]].concat(r):[l[0]].concat(r),l=s.call(l,t),u.push(l.slice(1))}r=[];for(var p=0,h=u.slice().reverse();p<h.length;p++){var d=h[p];r.push.apply(r,d)}return[l[0]].concat(r)})},t.prototype.build=function(e){var t;isArrayOfShapes(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(e),t=Array.isArray(i.stateSize)?i.stateSize[0]:i.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];t.push({className:this.getClassName(),config:i.getConfig()})}var a={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(a,o),a},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],i=0,a=t.cells;i<a.length;i++){var o=a[i];r.push(deserialize(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return batchGetValue(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=e.splice(a),s=0;s<i.weights.length;++s)t.push([i.weights[s],o[s]]);batchSetValue(t)},t.className=\"StackedRNNCells\",t}(RNNCell);function generateDropoutMask(e,t,n,r){function i(){return dropout(e(),getScalar(t))}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var a=[],o=0;o<r;o++)a.push(inTrainPhase(i,e,n));return a.forEach(function(e){return keep(e)}),a}return keep(inTrainPhase(i,e,n))}serialization.registerClass(StackedRNNCells);var Wrapper=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return __extends(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,\"trainable\",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"updates\",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=deserialize(t.layer,n);delete t.layer;var i={layer:r};return Object.assign(i,t),new e(i)},t}(Layer),TimeDistributed=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.build=function(t){if((t=getExactlyOneShape(t)).length<3)throw new ValueError(\"TimeDistributed layer expects an input shape >= 3D, but received input shape \"+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},t.prototype.computeOutputShape=function(e){var t=[(e=getExactlyOneShape(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},t.prototype.call=function(e,t){var n=this;return tidy(function(){return rnn(function(e,r){return[getExactlyOneTensor(n.layer.call(e,t)),[]]},e=getExactlyOneTensor(e),[],!1,null,null,!1,!0)[1]})},t.className=\"TimeDistributed\",t}(Wrapper);serialization.registerClass(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES=[\"sum\",\"mul\",\"concat\",\"ave\"];function checkBidirectionalMergeMode(e){checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES,\"BidirectionalMergeMode\",e)}var Bidirectional=function(e){function t(t){var n=e.call(this,t)||this,r=t.layer.getConfig();if(n.forwardLayer=deserialize({className:t.layer.getClassName(),config:r}),r.goBackwards=!0!==r.goBackwards,n.backwardLayer=deserialize({className:t.layer.getClassName(),config:r}),n.forwardLayer.name=\"forward_\"+n.forwardLayer.name,n.backwardLayer.name=\"backward_\"+n.backwardLayer.name,checkBidirectionalMergeMode(t.mergeMode),n.mergeMode=t.mergeMode,t.weights)throw new NotImplementedError(\"weights support is not implemented for Bidirectional layer yet.\");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}return __extends(t,e),Object.defineProperty(t.prototype,\"trainable\",{get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},t.prototype.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},t.prototype.computeOutputShape=function(e){var t,n,r,i=this.forwardLayer.computeOutputShape(e);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),t=i[0]):t=i[0],t=t,\"concat\"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):singletonOrArray(n)},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);if(t=a.inputs,r=a.initialState,i=a.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==i)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var l=r.length;if(l%2>0)throw new ValueError(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");n.initialState=r,o.push.apply(o,r);var u=r.map(function(e){return new InputSpec({shape:e.shape})});this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),s.push.apply(s,u)}if(null!=i)throw new NotImplementedError(\"Support for constants in Bidirectional layers is not implemented yet.\");for(var c=o[0]instanceof SymbolicTensor,p=0,h=o;p<h.length;p++){if(h[p]instanceof SymbolicTensor!==c)throw new ValueError(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\")}if(c){var d=[t].concat(o),g=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=g;var m=e.prototype.apply.call(this,d,n);return this.inputSpec=f,m}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(null!=t.mask)throw new NotImplementedError(\"The support for masking is not implemented for Bidirectional layers yet.\");var r,i,a,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),i=n.backwardLayer.call(e,t);else{var l=s.slice(0,s.length/2),u=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:l})),i=n.backwardLayer.call(e,Object.assign(t,{initialState:u}))}return n.returnState&&(Array.isArray(r)&&(a=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),n.returnSequences&&(i=reverse(i,1)),\"concat\"===n.mergeMode?o=concatenate([r,i]):\"sum\"===n.mergeMode?o=add(r,i):\"ave\"===n.mergeMode?o=mul(getScalar(.5),add(r,i)):\"mul\"===n.mergeMode?o=mul(r,i):null==n.mergeMode&&(o=[r,i]),n.returnState?null==n.mergeMode?o.concat(a):[o].concat(a):o})},t.prototype.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},t.prototype.build=function(e){var t=this;nameScope(this.forwardLayer.name,function(){t.forwardLayer.build(e)}),nameScope(this.backwardLayer.name,function(){t.backwardLayer.build(e)}),this.built=!0},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=deserialize(t.layer);if(delete t.layer,null!=t.numConstants)throw new NotImplementedError(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");var r=t;return r.layer=n,new e(r)},t.className=\"Bidirectional\",t}(Wrapper);function inputLayer(e){return new InputLayer(e)}function elu$2(e){return new ELU(e)}function reLU(e){return new ReLU(e)}function leakyReLU(e){return new LeakyReLU(e)}function softmax$1(e){return new Softmax$1(e)}function thresholdedReLU(e){return new ThresholdedReLU(e)}function conv1d$2(e){return new Conv1D(e)}function conv2d$2(e){return new Conv2D(e)}function conv2dTranspose$1(e){return new Conv2DTranspose(e)}function separableConv2d$1(e){return new SeparableConv2D(e)}function cropping2D(e){return new Cropping2D(e)}function upSampling2d(e){return new UpSampling2D(e)}function depthwiseConv2d$2(e){return new DepthwiseConv2D(e)}function activation(e){return new Activation$1(e)}function dense(e){return new Dense(e)}function dropout$1(e){return new Dropout(e)}function flatten$1(e){return new Flatten(e)}function repeatVector(e){return new RepeatVector(e)}function reshape(e){return new Reshape(e)}function permute(e){return new Permute(e)}function embedding(e){return new Embedding(e)}function add$2(e){return new Add(e)}function average$1(e){return new Average(e)}function concatenate$2(e){return new Concatenate(e)}function maximum$2(e){return new Maximum(e)}function minimum$2(e){return new Minimum(e)}function multiply$1(e){return new Multiply(e)}function batchNormalization$1(e){return new BatchNormalization(e)}function zeroPadding2d(e){return new ZeroPadding2D(e)}function averagePooling1d(e){return new AveragePooling1D(e)}function avgPool1d(e){return averagePooling1d(e)}function avgPooling1d(e){return averagePooling1d(e)}function averagePooling2d(e){return new AveragePooling2D(e)}function avgPool2d(e){return averagePooling2d(e)}function avgPooling2d(e){return averagePooling2d(e)}function globalAveragePooling1d(e){return new GlobalAveragePooling1D(e)}function globalAveragePooling2d(e){return new GlobalAveragePooling2D(e)}function globalMaxPooling1d(e){return new GlobalMaxPooling1D(e)}function globalMaxPooling2d(e){return new GlobalMaxPooling2D(e)}function maxPooling1d(e){return new MaxPooling1D(e)}function maxPooling2d(e){return new MaxPooling2D(e)}function gru(e){return new GRU(e)}function gruCell(e){return new GRUCell(e)}function lstm(e){return new LSTM(e)}function lstmCell(e){return new LSTMCell(e)}function simpleRNN(e){return new SimpleRNN(e)}function simpleRNNCell(e){return new SimpleRNNCell(e)}function rnn$1(e){return new RNN(e)}function stackedRNNCells(e){return new StackedRNNCells(e)}function bidirectional(e){return new Bidirectional(e)}function timeDistributed(e){return new TimeDistributed(e)}serialization.registerClass(Bidirectional);var globalMaxPool1d=globalMaxPooling1d,globalMaxPool2d=globalMaxPooling2d,maxPool1d=maxPooling1d,maxPool2d=maxPooling2d,exports_layers=Object.freeze({inputLayer:inputLayer,elu:elu$2,reLU:reLU,leakyReLU:leakyReLU,softmax:softmax$1,thresholdedReLU:thresholdedReLU,conv1d:conv1d$2,conv2d:conv2d$2,conv2dTranspose:conv2dTranspose$1,separableConv2d:separableConv2d$1,cropping2D:cropping2D,upSampling2d:upSampling2d,depthwiseConv2d:depthwiseConv2d$2,activation:activation,dense:dense,dropout:dropout$1,flatten:flatten$1,repeatVector:repeatVector,reshape:reshape,permute:permute,embedding:embedding,add:add$2,average:average$1,concatenate:concatenate$2,maximum:maximum$2,minimum:minimum$2,multiply:multiply$1,batchNormalization:batchNormalization$1,zeroPadding2d:zeroPadding2d,averagePooling1d:averagePooling1d,avgPool1d:avgPool1d,avgPooling1d:avgPooling1d,averagePooling2d:averagePooling2d,avgPool2d:avgPool2d,avgPooling2d:avgPooling2d,globalAveragePooling1d:globalAveragePooling1d,globalAveragePooling2d:globalAveragePooling2d,globalMaxPooling1d:globalMaxPooling1d,globalMaxPooling2d:globalMaxPooling2d,maxPooling1d:maxPooling1d,maxPooling2d:maxPooling2d,gru:gru,gruCell:gruCell,lstm:lstm,lstmCell:lstmCell,simpleRNN:simpleRNN,simpleRNNCell:simpleRNNCell,rnn:rnn$1,stackedRNNCells:stackedRNNCells,bidirectional:bidirectional,timeDistributed:timeDistributed,globalMaxPool1d:globalMaxPool1d,globalMaxPool2d:globalMaxPool2d,maxPool1d:maxPool1d,maxPool2d:maxPool2d,Layer:Layer,RNN:RNN,RNNCell:RNNCell,input:input});function binaryAccuracy$1(e,t){return binaryAccuracy(e,t)}function binaryCrossentropy$2(e,t){return binaryCrossentropy$1(e,t)}function categoricalAccuracy$1(e,t){return categoricalAccuracy(e,t)}function categoricalCrossentropy$2(e,t){return categoricalCrossentropy$1(e,t)}function precision$1(e,t){return precision(e,t)}function recall$1(e,t){return recall(e,t)}function cosineProximity$1(e,t){return cosineProximity(e,t)}function meanAbsoluteError$1(e,t){return meanAbsoluteError(e,t)}function meanAbsolutePercentageError$1(e,t){return meanAbsolutePercentageError(e,t)}function MAPE$2(e,t){return meanAbsolutePercentageError(e,t)}function mape$2(e,t){return meanAbsolutePercentageError(e,t)}function meanSquaredError$1(e,t){return meanSquaredError(e,t)}function MSE$2(e,t){return meanSquaredError(e,t)}function mse$2(e,t){return meanSquaredError(e,t)}var exports_metrics=Object.freeze({binaryAccuracy:binaryAccuracy$1,binaryCrossentropy:binaryCrossentropy$2,categoricalAccuracy:categoricalAccuracy$1,categoricalCrossentropy:categoricalCrossentropy$2,precision:precision$1,recall:recall$1,cosineProximity:cosineProximity$1,meanAbsoluteError:meanAbsoluteError$1,meanAbsolutePercentageError:meanAbsolutePercentageError$1,MAPE:MAPE$2,mape:mape$2,meanSquaredError:meanSquaredError$1,MSE:MSE$2,mse:mse$2});function l1l2(e){return new L1L2(e)}function l1$1(e){return l1(e)}function l2$1(e){return l2(e)}var exports_regularizers=Object.freeze({l1l2:l1l2,l1:l1$1,l2:l2$1}),Callback=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t.model=null,t}return __extends(t,e),t.prototype.setModel=function(e){if(!(e instanceof Model))throw new Error(\"model must be a Model, not some other Container\");this.model=e},t}(BaseCallback);export{exports_constraints as constraints,exports_initializers as initializers,exports_layers as layers,exports_metrics as metrics,exports_regularizers as regularizers,CallbackList,CustomCallback,History,Callback,SymbolicTensor,Model,input,loadModel,model,registerCallbackConstructor,sequential,RNN,Sequential,LayerVariable,version as version_layers};\n//# sourceMappingURL=tf-layers.esm.js.map\n","// @tensorflow/tfjs Copyright 2018 Google\nimport{version_core}from\"@tensorflow/tfjs-core\";export*from\"@tensorflow/tfjs-core\";import{version_layers}from\"@tensorflow/tfjs-layers\";export*from\"@tensorflow/tfjs-layers\";import{version_converter}from\"@tensorflow/tfjs-converter\";export*from\"@tensorflow/tfjs-converter\";var version=\"0.13.0\",version$1={\"tfjs-core\":version_core,\"tfjs-layers\":version_layers,\"tfjs-converter\":version_converter,tfjs:version};export{version$1 as version};\n//# sourceMappingURL=tf.esm.js.map\n","var isObject = require('./_is-object');\nmodule.exports = function (it) {\n  if (!isObject(it)) throw TypeError(it + ' is not an object!');\n  return it;\n};\n","if (typeof Object.create === 'function') {\n  // implementation from standard node.js 'util' module\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    ctor.prototype = Object.create(superCtor.prototype, {\n      constructor: {\n        value: ctor,\n        enumerable: false,\n        writable: true,\n        configurable: true\n      }\n    });\n  };\n} else {\n  // old school shim for old browsers\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    var TempCtor = function () {}\n    TempCtor.prototype = superCtor.prototype\n    ctor.prototype = new TempCtor()\n    ctor.prototype.constructor = ctor\n  }\n}\n","/* eslint-disable node/no-deprecated-api */\nvar buffer = require('buffer')\nvar Buffer = buffer.Buffer\n\n// alternative to using Object.keys for old browsers\nfunction copyProps (src, dst) {\n  for (var key in src) {\n    dst[key] = src[key]\n  }\n}\nif (Buffer.from && Buffer.alloc && Buffer.allocUnsafe && Buffer.allocUnsafeSlow) {\n  module.exports = buffer\n} else {\n  // Copy properties from require('buffer')\n  copyProps(buffer, exports)\n  exports.Buffer = SafeBuffer\n}\n\nfunction SafeBuffer (arg, encodingOrOffset, length) {\n  return Buffer(arg, encodingOrOffset, length)\n}\n\n// Copy static methods from Buffer\ncopyProps(Buffer, SafeBuffer)\n\nSafeBuffer.from = function (arg, encodingOrOffset, length) {\n  if (typeof arg === 'number') {\n    throw new TypeError('Argument must not be a number')\n  }\n  return Buffer(arg, encodingOrOffset, length)\n}\n\nSafeBuffer.alloc = function (size, fill, encoding) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  var buf = Buffer(size)\n  if (fill !== undefined) {\n    if (typeof encoding === 'string') {\n      buf.fill(fill, encoding)\n    } else {\n      buf.fill(fill)\n    }\n  } else {\n    buf.fill(0)\n  }\n  return buf\n}\n\nSafeBuffer.allocUnsafe = function (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  return Buffer(size)\n}\n\nSafeBuffer.allocUnsafeSlow = function (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  return buffer.SlowBuffer(size)\n}\n","// https://github.com/zloirock/core-js/issues/86#issuecomment-115759028\nvar global = module.exports = typeof window != 'undefined' && window.Math == Math\n  ? window : typeof self != 'undefined' && self.Math == Math ? self\n  // eslint-disable-next-line no-new-func\n  : Function('return this')();\nif (typeof __g == 'number') __g = global; // eslint-disable-line no-undef\n","module.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (e) {\n    return true;\n  }\n};\n","module.exports = function (it) {\n  return typeof it === 'object' ? it !== null : typeof it === 'function';\n};\n","var store = require('./_shared')('wks');\nvar uid = require('./_uid');\nvar Symbol = require('./_global').Symbol;\nvar USE_SYMBOL = typeof Symbol == 'function';\n\nvar $exports = module.exports = function (name) {\n  return store[name] || (store[name] =\n    USE_SYMBOL && Symbol[name] || (USE_SYMBOL ? Symbol : uid)('Symbol.' + name));\n};\n\n$exports.store = store;\n","// 7.1.15 ToLength\nvar toInteger = require('./_to-integer');\nvar min = Math.min;\nmodule.exports = function (it) {\n  return it > 0 ? min(toInteger(it), 0x1fffffffffffff) : 0; // pow(2, 53) - 1 == 9007199254740991\n};\n","var core = module.exports = { version: '2.6.3' };\nif (typeof __e == 'number') __e = core; // eslint-disable-line no-undef\n","var anObject = require('./_an-object');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar toPrimitive = require('./_to-primitive');\nvar dP = Object.defineProperty;\n\nexports.f = require('./_descriptors') ? Object.defineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPrimitive(P, true);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return dP(O, P, Attributes);\n  } catch (e) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw TypeError('Accessors not supported!');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n","// Thank's IE8 for his funny defineProperty\nmodule.exports = !require('./_fails')(function () {\n  return Object.defineProperty({}, 'a', { get: function () { return 7; } }).a != 7;\n});\n","(function (module, exports) {\n  'use strict';\n\n  // Utils\n  function assert (val, msg) {\n    if (!val) throw new Error(msg || 'Assertion failed');\n  }\n\n  // Could use `inherits` module, but don't want to move from single file\n  // architecture yet.\n  function inherits (ctor, superCtor) {\n    ctor.super_ = superCtor;\n    var TempCtor = function () {};\n    TempCtor.prototype = superCtor.prototype;\n    ctor.prototype = new TempCtor();\n    ctor.prototype.constructor = ctor;\n  }\n\n  // BN\n\n  function BN (number, base, endian) {\n    if (BN.isBN(number)) {\n      return number;\n    }\n\n    this.negative = 0;\n    this.words = null;\n    this.length = 0;\n\n    // Reduction context\n    this.red = null;\n\n    if (number !== null) {\n      if (base === 'le' || base === 'be') {\n        endian = base;\n        base = 10;\n      }\n\n      this._init(number || 0, base || 10, endian || 'be');\n    }\n  }\n  if (typeof module === 'object') {\n    module.exports = BN;\n  } else {\n    exports.BN = BN;\n  }\n\n  BN.BN = BN;\n  BN.wordSize = 26;\n\n  var Buffer;\n  try {\n    Buffer = require('buffer').Buffer;\n  } catch (e) {\n  }\n\n  BN.isBN = function isBN (num) {\n    if (num instanceof BN) {\n      return true;\n    }\n\n    return num !== null && typeof num === 'object' &&\n      num.constructor.wordSize === BN.wordSize && Array.isArray(num.words);\n  };\n\n  BN.max = function max (left, right) {\n    if (left.cmp(right) > 0) return left;\n    return right;\n  };\n\n  BN.min = function min (left, right) {\n    if (left.cmp(right) < 0) return left;\n    return right;\n  };\n\n  BN.prototype._init = function init (number, base, endian) {\n    if (typeof number === 'number') {\n      return this._initNumber(number, base, endian);\n    }\n\n    if (typeof number === 'object') {\n      return this._initArray(number, base, endian);\n    }\n\n    if (base === 'hex') {\n      base = 16;\n    }\n    assert(base === (base | 0) && base >= 2 && base <= 36);\n\n    number = number.toString().replace(/\\s+/g, '');\n    var start = 0;\n    if (number[0] === '-') {\n      start++;\n    }\n\n    if (base === 16) {\n      this._parseHex(number, start);\n    } else {\n      this._parseBase(number, base, start);\n    }\n\n    if (number[0] === '-') {\n      this.negative = 1;\n    }\n\n    this.strip();\n\n    if (endian !== 'le') return;\n\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initNumber = function _initNumber (number, base, endian) {\n    if (number < 0) {\n      this.negative = 1;\n      number = -number;\n    }\n    if (number < 0x4000000) {\n      this.words = [ number & 0x3ffffff ];\n      this.length = 1;\n    } else if (number < 0x10000000000000) {\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff\n      ];\n      this.length = 2;\n    } else {\n      assert(number < 0x20000000000000); // 2 ^ 53 (unsafe)\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff,\n        1\n      ];\n      this.length = 3;\n    }\n\n    if (endian !== 'le') return;\n\n    // Reverse the bytes\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initArray = function _initArray (number, base, endian) {\n    // Perhaps a Uint8Array\n    assert(typeof number.length === 'number');\n    if (number.length <= 0) {\n      this.words = [ 0 ];\n      this.length = 1;\n      return this;\n    }\n\n    this.length = Math.ceil(number.length / 3);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    var off = 0;\n    if (endian === 'be') {\n      for (i = number.length - 1, j = 0; i >= 0; i -= 3) {\n        w = number[i] | (number[i - 1] << 8) | (number[i - 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    } else if (endian === 'le') {\n      for (i = 0, j = 0; i < number.length; i += 3) {\n        w = number[i] | (number[i + 1] << 8) | (number[i + 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    }\n    return this.strip();\n  };\n\n  function parseHex (str, start, end) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r <<= 4;\n\n      // 'a' - 'f'\n      if (c >= 49 && c <= 54) {\n        r |= c - 49 + 0xa;\n\n      // 'A' - 'F'\n      } else if (c >= 17 && c <= 22) {\n        r |= c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r |= c & 0xf;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseHex = function _parseHex (number, start) {\n    // Create possibly bigger array to ensure that it fits the number\n    this.length = Math.ceil((number.length - start) / 6);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    // Scan 24-bit chunks and add them to the number\n    var off = 0;\n    for (i = number.length - 6, j = 0; i >= start; i -= 6) {\n      w = parseHex(number, i, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      // NOTE: `0x3fffff` is intentional here, 26bits max shift + 24bit hex limb\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n      off += 24;\n      if (off >= 26) {\n        off -= 26;\n        j++;\n      }\n    }\n    if (i + 6 !== start) {\n      w = parseHex(number, start, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n    }\n    this.strip();\n  };\n\n  function parseBase (str, start, end, mul) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r *= mul;\n\n      // 'a'\n      if (c >= 49) {\n        r += c - 49 + 0xa;\n\n      // 'A'\n      } else if (c >= 17) {\n        r += c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r += c;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseBase = function _parseBase (number, base, start) {\n    // Initialize as zero\n    this.words = [ 0 ];\n    this.length = 1;\n\n    // Find length of limb in base\n    for (var limbLen = 0, limbPow = 1; limbPow <= 0x3ffffff; limbPow *= base) {\n      limbLen++;\n    }\n    limbLen--;\n    limbPow = (limbPow / base) | 0;\n\n    var total = number.length - start;\n    var mod = total % limbLen;\n    var end = Math.min(total, total - mod) + start;\n\n    var word = 0;\n    for (var i = start; i < end; i += limbLen) {\n      word = parseBase(number, i, i + limbLen, base);\n\n      this.imuln(limbPow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n\n    if (mod !== 0) {\n      var pow = 1;\n      word = parseBase(number, i, number.length, base);\n\n      for (i = 0; i < mod; i++) {\n        pow *= base;\n      }\n\n      this.imuln(pow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n  };\n\n  BN.prototype.copy = function copy (dest) {\n    dest.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      dest.words[i] = this.words[i];\n    }\n    dest.length = this.length;\n    dest.negative = this.negative;\n    dest.red = this.red;\n  };\n\n  BN.prototype.clone = function clone () {\n    var r = new BN(null);\n    this.copy(r);\n    return r;\n  };\n\n  BN.prototype._expand = function _expand (size) {\n    while (this.length < size) {\n      this.words[this.length++] = 0;\n    }\n    return this;\n  };\n\n  // Remove leading `0` from `this`\n  BN.prototype.strip = function strip () {\n    while (this.length > 1 && this.words[this.length - 1] === 0) {\n      this.length--;\n    }\n    return this._normSign();\n  };\n\n  BN.prototype._normSign = function _normSign () {\n    // -0 = 0\n    if (this.length === 1 && this.words[0] === 0) {\n      this.negative = 0;\n    }\n    return this;\n  };\n\n  BN.prototype.inspect = function inspect () {\n    return (this.red ? '<BN-R: ' : '<BN: ') + this.toString(16) + '>';\n  };\n\n  /*\n\n  var zeros = [];\n  var groupSizes = [];\n  var groupBases = [];\n\n  var s = '';\n  var i = -1;\n  while (++i < BN.wordSize) {\n    zeros[i] = s;\n    s += '0';\n  }\n  groupSizes[0] = 0;\n  groupSizes[1] = 0;\n  groupBases[0] = 0;\n  groupBases[1] = 0;\n  var base = 2 - 1;\n  while (++base < 36 + 1) {\n    var groupSize = 0;\n    var groupBase = 1;\n    while (groupBase < (1 << BN.wordSize) / base) {\n      groupBase *= base;\n      groupSize += 1;\n    }\n    groupSizes[base] = groupSize;\n    groupBases[base] = groupBase;\n  }\n\n  */\n\n  var zeros = [\n    '',\n    '0',\n    '00',\n    '000',\n    '0000',\n    '00000',\n    '000000',\n    '0000000',\n    '00000000',\n    '000000000',\n    '0000000000',\n    '00000000000',\n    '000000000000',\n    '0000000000000',\n    '00000000000000',\n    '000000000000000',\n    '0000000000000000',\n    '00000000000000000',\n    '000000000000000000',\n    '0000000000000000000',\n    '00000000000000000000',\n    '000000000000000000000',\n    '0000000000000000000000',\n    '00000000000000000000000',\n    '000000000000000000000000',\n    '0000000000000000000000000'\n  ];\n\n  var groupSizes = [\n    0, 0,\n    25, 16, 12, 11, 10, 9, 8,\n    8, 7, 7, 7, 7, 6, 6,\n    6, 6, 6, 6, 6, 5, 5,\n    5, 5, 5, 5, 5, 5, 5,\n    5, 5, 5, 5, 5, 5, 5\n  ];\n\n  var groupBases = [\n    0, 0,\n    33554432, 43046721, 16777216, 48828125, 60466176, 40353607, 16777216,\n    43046721, 10000000, 19487171, 35831808, 62748517, 7529536, 11390625,\n    16777216, 24137569, 34012224, 47045881, 64000000, 4084101, 5153632,\n    6436343, 7962624, 9765625, 11881376, 14348907, 17210368, 20511149,\n    24300000, 28629151, 33554432, 39135393, 45435424, 52521875, 60466176\n  ];\n\n  BN.prototype.toString = function toString (base, padding) {\n    base = base || 10;\n    padding = padding | 0 || 1;\n\n    var out;\n    if (base === 16 || base === 'hex') {\n      out = '';\n      var off = 0;\n      var carry = 0;\n      for (var i = 0; i < this.length; i++) {\n        var w = this.words[i];\n        var word = (((w << off) | carry) & 0xffffff).toString(16);\n        carry = (w >>> (24 - off)) & 0xffffff;\n        if (carry !== 0 || i !== this.length - 1) {\n          out = zeros[6 - word.length] + word + out;\n        } else {\n          out = word + out;\n        }\n        off += 2;\n        if (off >= 26) {\n          off -= 26;\n          i--;\n        }\n      }\n      if (carry !== 0) {\n        out = carry.toString(16) + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    if (base === (base | 0) && base >= 2 && base <= 36) {\n      // var groupSize = Math.floor(BN.wordSize * Math.LN2 / Math.log(base));\n      var groupSize = groupSizes[base];\n      // var groupBase = Math.pow(base, groupSize);\n      var groupBase = groupBases[base];\n      out = '';\n      var c = this.clone();\n      c.negative = 0;\n      while (!c.isZero()) {\n        var r = c.modn(groupBase).toString(base);\n        c = c.idivn(groupBase);\n\n        if (!c.isZero()) {\n          out = zeros[groupSize - r.length] + r + out;\n        } else {\n          out = r + out;\n        }\n      }\n      if (this.isZero()) {\n        out = '0' + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    assert(false, 'Base should be between 2 and 36');\n  };\n\n  BN.prototype.toNumber = function toNumber () {\n    var ret = this.words[0];\n    if (this.length === 2) {\n      ret += this.words[1] * 0x4000000;\n    } else if (this.length === 3 && this.words[2] === 0x01) {\n      // NOTE: at this stage it is known that the top bit is set\n      ret += 0x10000000000000 + (this.words[1] * 0x4000000);\n    } else if (this.length > 2) {\n      assert(false, 'Number can only safely store up to 53 bits');\n    }\n    return (this.negative !== 0) ? -ret : ret;\n  };\n\n  BN.prototype.toJSON = function toJSON () {\n    return this.toString(16);\n  };\n\n  BN.prototype.toBuffer = function toBuffer (endian, length) {\n    assert(typeof Buffer !== 'undefined');\n    return this.toArrayLike(Buffer, endian, length);\n  };\n\n  BN.prototype.toArray = function toArray (endian, length) {\n    return this.toArrayLike(Array, endian, length);\n  };\n\n  BN.prototype.toArrayLike = function toArrayLike (ArrayType, endian, length) {\n    var byteLength = this.byteLength();\n    var reqLength = length || Math.max(1, byteLength);\n    assert(byteLength <= reqLength, 'byte array longer than desired length');\n    assert(reqLength > 0, 'Requested array length <= 0');\n\n    this.strip();\n    var littleEndian = endian === 'le';\n    var res = new ArrayType(reqLength);\n\n    var b, i;\n    var q = this.clone();\n    if (!littleEndian) {\n      // Assume big-endian\n      for (i = 0; i < reqLength - byteLength; i++) {\n        res[i] = 0;\n      }\n\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[reqLength - i - 1] = b;\n      }\n    } else {\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[i] = b;\n      }\n\n      for (; i < reqLength; i++) {\n        res[i] = 0;\n      }\n    }\n\n    return res;\n  };\n\n  if (Math.clz32) {\n    BN.prototype._countBits = function _countBits (w) {\n      return 32 - Math.clz32(w);\n    };\n  } else {\n    BN.prototype._countBits = function _countBits (w) {\n      var t = w;\n      var r = 0;\n      if (t >= 0x1000) {\n        r += 13;\n        t >>>= 13;\n      }\n      if (t >= 0x40) {\n        r += 7;\n        t >>>= 7;\n      }\n      if (t >= 0x8) {\n        r += 4;\n        t >>>= 4;\n      }\n      if (t >= 0x02) {\n        r += 2;\n        t >>>= 2;\n      }\n      return r + t;\n    };\n  }\n\n  BN.prototype._zeroBits = function _zeroBits (w) {\n    // Short-cut\n    if (w === 0) return 26;\n\n    var t = w;\n    var r = 0;\n    if ((t & 0x1fff) === 0) {\n      r += 13;\n      t >>>= 13;\n    }\n    if ((t & 0x7f) === 0) {\n      r += 7;\n      t >>>= 7;\n    }\n    if ((t & 0xf) === 0) {\n      r += 4;\n      t >>>= 4;\n    }\n    if ((t & 0x3) === 0) {\n      r += 2;\n      t >>>= 2;\n    }\n    if ((t & 0x1) === 0) {\n      r++;\n    }\n    return r;\n  };\n\n  // Return number of used bits in a BN\n  BN.prototype.bitLength = function bitLength () {\n    var w = this.words[this.length - 1];\n    var hi = this._countBits(w);\n    return (this.length - 1) * 26 + hi;\n  };\n\n  function toBitArray (num) {\n    var w = new Array(num.bitLength());\n\n    for (var bit = 0; bit < w.length; bit++) {\n      var off = (bit / 26) | 0;\n      var wbit = bit % 26;\n\n      w[bit] = (num.words[off] & (1 << wbit)) >>> wbit;\n    }\n\n    return w;\n  }\n\n  // Number of trailing zero bits\n  BN.prototype.zeroBits = function zeroBits () {\n    if (this.isZero()) return 0;\n\n    var r = 0;\n    for (var i = 0; i < this.length; i++) {\n      var b = this._zeroBits(this.words[i]);\n      r += b;\n      if (b !== 26) break;\n    }\n    return r;\n  };\n\n  BN.prototype.byteLength = function byteLength () {\n    return Math.ceil(this.bitLength() / 8);\n  };\n\n  BN.prototype.toTwos = function toTwos (width) {\n    if (this.negative !== 0) {\n      return this.abs().inotn(width).iaddn(1);\n    }\n    return this.clone();\n  };\n\n  BN.prototype.fromTwos = function fromTwos (width) {\n    if (this.testn(width - 1)) {\n      return this.notn(width).iaddn(1).ineg();\n    }\n    return this.clone();\n  };\n\n  BN.prototype.isNeg = function isNeg () {\n    return this.negative !== 0;\n  };\n\n  // Return negative clone of `this`\n  BN.prototype.neg = function neg () {\n    return this.clone().ineg();\n  };\n\n  BN.prototype.ineg = function ineg () {\n    if (!this.isZero()) {\n      this.negative ^= 1;\n    }\n\n    return this;\n  };\n\n  // Or `num` with `this` in-place\n  BN.prototype.iuor = function iuor (num) {\n    while (this.length < num.length) {\n      this.words[this.length++] = 0;\n    }\n\n    for (var i = 0; i < num.length; i++) {\n      this.words[i] = this.words[i] | num.words[i];\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ior = function ior (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuor(num);\n  };\n\n  // Or `num` with `this`\n  BN.prototype.or = function or (num) {\n    if (this.length > num.length) return this.clone().ior(num);\n    return num.clone().ior(this);\n  };\n\n  BN.prototype.uor = function uor (num) {\n    if (this.length > num.length) return this.clone().iuor(num);\n    return num.clone().iuor(this);\n  };\n\n  // And `num` with `this` in-place\n  BN.prototype.iuand = function iuand (num) {\n    // b = min-length(num, this)\n    var b;\n    if (this.length > num.length) {\n      b = num;\n    } else {\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = this.words[i] & num.words[i];\n    }\n\n    this.length = b.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.iand = function iand (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuand(num);\n  };\n\n  // And `num` with `this`\n  BN.prototype.and = function and (num) {\n    if (this.length > num.length) return this.clone().iand(num);\n    return num.clone().iand(this);\n  };\n\n  BN.prototype.uand = function uand (num) {\n    if (this.length > num.length) return this.clone().iuand(num);\n    return num.clone().iuand(this);\n  };\n\n  // Xor `num` with `this` in-place\n  BN.prototype.iuxor = function iuxor (num) {\n    // a.length > b.length\n    var a;\n    var b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = a.words[i] ^ b.words[i];\n    }\n\n    if (this !== a) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = a.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.ixor = function ixor (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuxor(num);\n  };\n\n  // Xor `num` with `this`\n  BN.prototype.xor = function xor (num) {\n    if (this.length > num.length) return this.clone().ixor(num);\n    return num.clone().ixor(this);\n  };\n\n  BN.prototype.uxor = function uxor (num) {\n    if (this.length > num.length) return this.clone().iuxor(num);\n    return num.clone().iuxor(this);\n  };\n\n  // Not ``this`` with ``width`` bitwidth\n  BN.prototype.inotn = function inotn (width) {\n    assert(typeof width === 'number' && width >= 0);\n\n    var bytesNeeded = Math.ceil(width / 26) | 0;\n    var bitsLeft = width % 26;\n\n    // Extend the buffer with leading zeroes\n    this._expand(bytesNeeded);\n\n    if (bitsLeft > 0) {\n      bytesNeeded--;\n    }\n\n    // Handle complete words\n    for (var i = 0; i < bytesNeeded; i++) {\n      this.words[i] = ~this.words[i] & 0x3ffffff;\n    }\n\n    // Handle the residue\n    if (bitsLeft > 0) {\n      this.words[i] = ~this.words[i] & (0x3ffffff >> (26 - bitsLeft));\n    }\n\n    // And remove leading zeroes\n    return this.strip();\n  };\n\n  BN.prototype.notn = function notn (width) {\n    return this.clone().inotn(width);\n  };\n\n  // Set `bit` of `this`\n  BN.prototype.setn = function setn (bit, val) {\n    assert(typeof bit === 'number' && bit >= 0);\n\n    var off = (bit / 26) | 0;\n    var wbit = bit % 26;\n\n    this._expand(off + 1);\n\n    if (val) {\n      this.words[off] = this.words[off] | (1 << wbit);\n    } else {\n      this.words[off] = this.words[off] & ~(1 << wbit);\n    }\n\n    return this.strip();\n  };\n\n  // Add `num` to `this` in-place\n  BN.prototype.iadd = function iadd (num) {\n    var r;\n\n    // negative + positive\n    if (this.negative !== 0 && num.negative === 0) {\n      this.negative = 0;\n      r = this.isub(num);\n      this.negative ^= 1;\n      return this._normSign();\n\n    // positive + negative\n    } else if (this.negative === 0 && num.negative !== 0) {\n      num.negative = 0;\n      r = this.isub(num);\n      num.negative = 1;\n      return r._normSign();\n    }\n\n    // a.length > b.length\n    var a, b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) + (b.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n\n    this.length = a.length;\n    if (carry !== 0) {\n      this.words[this.length] = carry;\n      this.length++;\n    // Copy the rest of the words\n    } else if (a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    return this;\n  };\n\n  // Add `num` to `this`\n  BN.prototype.add = function add (num) {\n    var res;\n    if (num.negative !== 0 && this.negative === 0) {\n      num.negative = 0;\n      res = this.sub(num);\n      num.negative ^= 1;\n      return res;\n    } else if (num.negative === 0 && this.negative !== 0) {\n      this.negative = 0;\n      res = num.sub(this);\n      this.negative = 1;\n      return res;\n    }\n\n    if (this.length > num.length) return this.clone().iadd(num);\n\n    return num.clone().iadd(this);\n  };\n\n  // Subtract `num` from `this` in-place\n  BN.prototype.isub = function isub (num) {\n    // this - (-num) = this + num\n    if (num.negative !== 0) {\n      num.negative = 0;\n      var r = this.iadd(num);\n      num.negative = 1;\n      return r._normSign();\n\n    // -this - num = -(this + num)\n    } else if (this.negative !== 0) {\n      this.negative = 0;\n      this.iadd(num);\n      this.negative = 1;\n      return this._normSign();\n    }\n\n    // At this point both numbers are positive\n    var cmp = this.cmp(num);\n\n    // Optimization - zeroify\n    if (cmp === 0) {\n      this.negative = 0;\n      this.length = 1;\n      this.words[0] = 0;\n      return this;\n    }\n\n    // a > b\n    var a, b;\n    if (cmp > 0) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) - (b.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n\n    // Copy rest of the words\n    if (carry === 0 && i < a.length && a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = Math.max(this.length, i);\n\n    if (a !== this) {\n      this.negative = 1;\n    }\n\n    return this.strip();\n  };\n\n  // Subtract `num` from `this`\n  BN.prototype.sub = function sub (num) {\n    return this.clone().isub(num);\n  };\n\n  function smallMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    var len = (self.length + num.length) | 0;\n    out.length = len;\n    len = (len - 1) | 0;\n\n    // Peel one iteration (compiler can't do it, because of code complexity)\n    var a = self.words[0] | 0;\n    var b = num.words[0] | 0;\n    var r = a * b;\n\n    var lo = r & 0x3ffffff;\n    var carry = (r / 0x4000000) | 0;\n    out.words[0] = lo;\n\n    for (var k = 1; k < len; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = carry >>> 26;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = (k - j) | 0;\n        a = self.words[i] | 0;\n        b = num.words[j] | 0;\n        r = a * b + rword;\n        ncarry += (r / 0x4000000) | 0;\n        rword = r & 0x3ffffff;\n      }\n      out.words[k] = rword | 0;\n      carry = ncarry | 0;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry | 0;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  // TODO(indutny): it may be reasonable to omit it for users who don't need\n  // to work with 256-bit numbers, otherwise it gives 20% improvement for 256-bit\n  // multiplication (like elliptic secp256k1).\n  var comb10MulTo = function comb10MulTo (self, num, out) {\n    var a = self.words;\n    var b = num.words;\n    var o = out.words;\n    var c = 0;\n    var lo;\n    var mid;\n    var hi;\n    var a0 = a[0] | 0;\n    var al0 = a0 & 0x1fff;\n    var ah0 = a0 >>> 13;\n    var a1 = a[1] | 0;\n    var al1 = a1 & 0x1fff;\n    var ah1 = a1 >>> 13;\n    var a2 = a[2] | 0;\n    var al2 = a2 & 0x1fff;\n    var ah2 = a2 >>> 13;\n    var a3 = a[3] | 0;\n    var al3 = a3 & 0x1fff;\n    var ah3 = a3 >>> 13;\n    var a4 = a[4] | 0;\n    var al4 = a4 & 0x1fff;\n    var ah4 = a4 >>> 13;\n    var a5 = a[5] | 0;\n    var al5 = a5 & 0x1fff;\n    var ah5 = a5 >>> 13;\n    var a6 = a[6] | 0;\n    var al6 = a6 & 0x1fff;\n    var ah6 = a6 >>> 13;\n    var a7 = a[7] | 0;\n    var al7 = a7 & 0x1fff;\n    var ah7 = a7 >>> 13;\n    var a8 = a[8] | 0;\n    var al8 = a8 & 0x1fff;\n    var ah8 = a8 >>> 13;\n    var a9 = a[9] | 0;\n    var al9 = a9 & 0x1fff;\n    var ah9 = a9 >>> 13;\n    var b0 = b[0] | 0;\n    var bl0 = b0 & 0x1fff;\n    var bh0 = b0 >>> 13;\n    var b1 = b[1] | 0;\n    var bl1 = b1 & 0x1fff;\n    var bh1 = b1 >>> 13;\n    var b2 = b[2] | 0;\n    var bl2 = b2 & 0x1fff;\n    var bh2 = b2 >>> 13;\n    var b3 = b[3] | 0;\n    var bl3 = b3 & 0x1fff;\n    var bh3 = b3 >>> 13;\n    var b4 = b[4] | 0;\n    var bl4 = b4 & 0x1fff;\n    var bh4 = b4 >>> 13;\n    var b5 = b[5] | 0;\n    var bl5 = b5 & 0x1fff;\n    var bh5 = b5 >>> 13;\n    var b6 = b[6] | 0;\n    var bl6 = b6 & 0x1fff;\n    var bh6 = b6 >>> 13;\n    var b7 = b[7] | 0;\n    var bl7 = b7 & 0x1fff;\n    var bh7 = b7 >>> 13;\n    var b8 = b[8] | 0;\n    var bl8 = b8 & 0x1fff;\n    var bh8 = b8 >>> 13;\n    var b9 = b[9] | 0;\n    var bl9 = b9 & 0x1fff;\n    var bh9 = b9 >>> 13;\n\n    out.negative = self.negative ^ num.negative;\n    out.length = 19;\n    /* k = 0 */\n    lo = Math.imul(al0, bl0);\n    mid = Math.imul(al0, bh0);\n    mid = (mid + Math.imul(ah0, bl0)) | 0;\n    hi = Math.imul(ah0, bh0);\n    var w0 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w0 >>> 26)) | 0;\n    w0 &= 0x3ffffff;\n    /* k = 1 */\n    lo = Math.imul(al1, bl0);\n    mid = Math.imul(al1, bh0);\n    mid = (mid + Math.imul(ah1, bl0)) | 0;\n    hi = Math.imul(ah1, bh0);\n    lo = (lo + Math.imul(al0, bl1)) | 0;\n    mid = (mid + Math.imul(al0, bh1)) | 0;\n    mid = (mid + Math.imul(ah0, bl1)) | 0;\n    hi = (hi + Math.imul(ah0, bh1)) | 0;\n    var w1 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w1 >>> 26)) | 0;\n    w1 &= 0x3ffffff;\n    /* k = 2 */\n    lo = Math.imul(al2, bl0);\n    mid = Math.imul(al2, bh0);\n    mid = (mid + Math.imul(ah2, bl0)) | 0;\n    hi = Math.imul(ah2, bh0);\n    lo = (lo + Math.imul(al1, bl1)) | 0;\n    mid = (mid + Math.imul(al1, bh1)) | 0;\n    mid = (mid + Math.imul(ah1, bl1)) | 0;\n    hi = (hi + Math.imul(ah1, bh1)) | 0;\n    lo = (lo + Math.imul(al0, bl2)) | 0;\n    mid = (mid + Math.imul(al0, bh2)) | 0;\n    mid = (mid + Math.imul(ah0, bl2)) | 0;\n    hi = (hi + Math.imul(ah0, bh2)) | 0;\n    var w2 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w2 >>> 26)) | 0;\n    w2 &= 0x3ffffff;\n    /* k = 3 */\n    lo = Math.imul(al3, bl0);\n    mid = Math.imul(al3, bh0);\n    mid = (mid + Math.imul(ah3, bl0)) | 0;\n    hi = Math.imul(ah3, bh0);\n    lo = (lo + Math.imul(al2, bl1)) | 0;\n    mid = (mid + Math.imul(al2, bh1)) | 0;\n    mid = (mid + Math.imul(ah2, bl1)) | 0;\n    hi = (hi + Math.imul(ah2, bh1)) | 0;\n    lo = (lo + Math.imul(al1, bl2)) | 0;\n    mid = (mid + Math.imul(al1, bh2)) | 0;\n    mid = (mid + Math.imul(ah1, bl2)) | 0;\n    hi = (hi + Math.imul(ah1, bh2)) | 0;\n    lo = (lo + Math.imul(al0, bl3)) | 0;\n    mid = (mid + Math.imul(al0, bh3)) | 0;\n    mid = (mid + Math.imul(ah0, bl3)) | 0;\n    hi = (hi + Math.imul(ah0, bh3)) | 0;\n    var w3 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w3 >>> 26)) | 0;\n    w3 &= 0x3ffffff;\n    /* k = 4 */\n    lo = Math.imul(al4, bl0);\n    mid = Math.imul(al4, bh0);\n    mid = (mid + Math.imul(ah4, bl0)) | 0;\n    hi = Math.imul(ah4, bh0);\n    lo = (lo + Math.imul(al3, bl1)) | 0;\n    mid = (mid + Math.imul(al3, bh1)) | 0;\n    mid = (mid + Math.imul(ah3, bl1)) | 0;\n    hi = (hi + Math.imul(ah3, bh1)) | 0;\n    lo = (lo + Math.imul(al2, bl2)) | 0;\n    mid = (mid + Math.imul(al2, bh2)) | 0;\n    mid = (mid + Math.imul(ah2, bl2)) | 0;\n    hi = (hi + Math.imul(ah2, bh2)) | 0;\n    lo = (lo + Math.imul(al1, bl3)) | 0;\n    mid = (mid + Math.imul(al1, bh3)) | 0;\n    mid = (mid + Math.imul(ah1, bl3)) | 0;\n    hi = (hi + Math.imul(ah1, bh3)) | 0;\n    lo = (lo + Math.imul(al0, bl4)) | 0;\n    mid = (mid + Math.imul(al0, bh4)) | 0;\n    mid = (mid + Math.imul(ah0, bl4)) | 0;\n    hi = (hi + Math.imul(ah0, bh4)) | 0;\n    var w4 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w4 >>> 26)) | 0;\n    w4 &= 0x3ffffff;\n    /* k = 5 */\n    lo = Math.imul(al5, bl0);\n    mid = Math.imul(al5, bh0);\n    mid = (mid + Math.imul(ah5, bl0)) | 0;\n    hi = Math.imul(ah5, bh0);\n    lo = (lo + Math.imul(al4, bl1)) | 0;\n    mid = (mid + Math.imul(al4, bh1)) | 0;\n    mid = (mid + Math.imul(ah4, bl1)) | 0;\n    hi = (hi + Math.imul(ah4, bh1)) | 0;\n    lo = (lo + Math.imul(al3, bl2)) | 0;\n    mid = (mid + Math.imul(al3, bh2)) | 0;\n    mid = (mid + Math.imul(ah3, bl2)) | 0;\n    hi = (hi + Math.imul(ah3, bh2)) | 0;\n    lo = (lo + Math.imul(al2, bl3)) | 0;\n    mid = (mid + Math.imul(al2, bh3)) | 0;\n    mid = (mid + Math.imul(ah2, bl3)) | 0;\n    hi = (hi + Math.imul(ah2, bh3)) | 0;\n    lo = (lo + Math.imul(al1, bl4)) | 0;\n    mid = (mid + Math.imul(al1, bh4)) | 0;\n    mid = (mid + Math.imul(ah1, bl4)) | 0;\n    hi = (hi + Math.imul(ah1, bh4)) | 0;\n    lo = (lo + Math.imul(al0, bl5)) | 0;\n    mid = (mid + Math.imul(al0, bh5)) | 0;\n    mid = (mid + Math.imul(ah0, bl5)) | 0;\n    hi = (hi + Math.imul(ah0, bh5)) | 0;\n    var w5 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w5 >>> 26)) | 0;\n    w5 &= 0x3ffffff;\n    /* k = 6 */\n    lo = Math.imul(al6, bl0);\n    mid = Math.imul(al6, bh0);\n    mid = (mid + Math.imul(ah6, bl0)) | 0;\n    hi = Math.imul(ah6, bh0);\n    lo = (lo + Math.imul(al5, bl1)) | 0;\n    mid = (mid + Math.imul(al5, bh1)) | 0;\n    mid = (mid + Math.imul(ah5, bl1)) | 0;\n    hi = (hi + Math.imul(ah5, bh1)) | 0;\n    lo = (lo + Math.imul(al4, bl2)) | 0;\n    mid = (mid + Math.imul(al4, bh2)) | 0;\n    mid = (mid + Math.imul(ah4, bl2)) | 0;\n    hi = (hi + Math.imul(ah4, bh2)) | 0;\n    lo = (lo + Math.imul(al3, bl3)) | 0;\n    mid = (mid + Math.imul(al3, bh3)) | 0;\n    mid = (mid + Math.imul(ah3, bl3)) | 0;\n    hi = (hi + Math.imul(ah3, bh3)) | 0;\n    lo = (lo + Math.imul(al2, bl4)) | 0;\n    mid = (mid + Math.imul(al2, bh4)) | 0;\n    mid = (mid + Math.imul(ah2, bl4)) | 0;\n    hi = (hi + Math.imul(ah2, bh4)) | 0;\n    lo = (lo + Math.imul(al1, bl5)) | 0;\n    mid = (mid + Math.imul(al1, bh5)) | 0;\n    mid = (mid + Math.imul(ah1, bl5)) | 0;\n    hi = (hi + Math.imul(ah1, bh5)) | 0;\n    lo = (lo + Math.imul(al0, bl6)) | 0;\n    mid = (mid + Math.imul(al0, bh6)) | 0;\n    mid = (mid + Math.imul(ah0, bl6)) | 0;\n    hi = (hi + Math.imul(ah0, bh6)) | 0;\n    var w6 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w6 >>> 26)) | 0;\n    w6 &= 0x3ffffff;\n    /* k = 7 */\n    lo = Math.imul(al7, bl0);\n    mid = Math.imul(al7, bh0);\n    mid = (mid + Math.imul(ah7, bl0)) | 0;\n    hi = Math.imul(ah7, bh0);\n    lo = (lo + Math.imul(al6, bl1)) | 0;\n    mid = (mid + Math.imul(al6, bh1)) | 0;\n    mid = (mid + Math.imul(ah6, bl1)) | 0;\n    hi = (hi + Math.imul(ah6, bh1)) | 0;\n    lo = (lo + Math.imul(al5, bl2)) | 0;\n    mid = (mid + Math.imul(al5, bh2)) | 0;\n    mid = (mid + Math.imul(ah5, bl2)) | 0;\n    hi = (hi + Math.imul(ah5, bh2)) | 0;\n    lo = (lo + Math.imul(al4, bl3)) | 0;\n    mid = (mid + Math.imul(al4, bh3)) | 0;\n    mid = (mid + Math.imul(ah4, bl3)) | 0;\n    hi = (hi + Math.imul(ah4, bh3)) | 0;\n    lo = (lo + Math.imul(al3, bl4)) | 0;\n    mid = (mid + Math.imul(al3, bh4)) | 0;\n    mid = (mid + Math.imul(ah3, bl4)) | 0;\n    hi = (hi + Math.imul(ah3, bh4)) | 0;\n    lo = (lo + Math.imul(al2, bl5)) | 0;\n    mid = (mid + Math.imul(al2, bh5)) | 0;\n    mid = (mid + Math.imul(ah2, bl5)) | 0;\n    hi = (hi + Math.imul(ah2, bh5)) | 0;\n    lo = (lo + Math.imul(al1, bl6)) | 0;\n    mid = (mid + Math.imul(al1, bh6)) | 0;\n    mid = (mid + Math.imul(ah1, bl6)) | 0;\n    hi = (hi + Math.imul(ah1, bh6)) | 0;\n    lo = (lo + Math.imul(al0, bl7)) | 0;\n    mid = (mid + Math.imul(al0, bh7)) | 0;\n    mid = (mid + Math.imul(ah0, bl7)) | 0;\n    hi = (hi + Math.imul(ah0, bh7)) | 0;\n    var w7 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w7 >>> 26)) | 0;\n    w7 &= 0x3ffffff;\n    /* k = 8 */\n    lo = Math.imul(al8, bl0);\n    mid = Math.imul(al8, bh0);\n    mid = (mid + Math.imul(ah8, bl0)) | 0;\n    hi = Math.imul(ah8, bh0);\n    lo = (lo + Math.imul(al7, bl1)) | 0;\n    mid = (mid + Math.imul(al7, bh1)) | 0;\n    mid = (mid + Math.imul(ah7, bl1)) | 0;\n    hi = (hi + Math.imul(ah7, bh1)) | 0;\n    lo = (lo + Math.imul(al6, bl2)) | 0;\n    mid = (mid + Math.imul(al6, bh2)) | 0;\n    mid = (mid + Math.imul(ah6, bl2)) | 0;\n    hi = (hi + Math.imul(ah6, bh2)) | 0;\n    lo = (lo + Math.imul(al5, bl3)) | 0;\n    mid = (mid + Math.imul(al5, bh3)) | 0;\n    mid = (mid + Math.imul(ah5, bl3)) | 0;\n    hi = (hi + Math.imul(ah5, bh3)) | 0;\n    lo = (lo + Math.imul(al4, bl4)) | 0;\n    mid = (mid + Math.imul(al4, bh4)) | 0;\n    mid = (mid + Math.imul(ah4, bl4)) | 0;\n    hi = (hi + Math.imul(ah4, bh4)) | 0;\n    lo = (lo + Math.imul(al3, bl5)) | 0;\n    mid = (mid + Math.imul(al3, bh5)) | 0;\n    mid = (mid + Math.imul(ah3, bl5)) | 0;\n    hi = (hi + Math.imul(ah3, bh5)) | 0;\n    lo = (lo + Math.imul(al2, bl6)) | 0;\n    mid = (mid + Math.imul(al2, bh6)) | 0;\n    mid = (mid + Math.imul(ah2, bl6)) | 0;\n    hi = (hi + Math.imul(ah2, bh6)) | 0;\n    lo = (lo + Math.imul(al1, bl7)) | 0;\n    mid = (mid + Math.imul(al1, bh7)) | 0;\n    mid = (mid + Math.imul(ah1, bl7)) | 0;\n    hi = (hi + Math.imul(ah1, bh7)) | 0;\n    lo = (lo + Math.imul(al0, bl8)) | 0;\n    mid = (mid + Math.imul(al0, bh8)) | 0;\n    mid = (mid + Math.imul(ah0, bl8)) | 0;\n    hi = (hi + Math.imul(ah0, bh8)) | 0;\n    var w8 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w8 >>> 26)) | 0;\n    w8 &= 0x3ffffff;\n    /* k = 9 */\n    lo = Math.imul(al9, bl0);\n    mid = Math.imul(al9, bh0);\n    mid = (mid + Math.imul(ah9, bl0)) | 0;\n    hi = Math.imul(ah9, bh0);\n    lo = (lo + Math.imul(al8, bl1)) | 0;\n    mid = (mid + Math.imul(al8, bh1)) | 0;\n    mid = (mid + Math.imul(ah8, bl1)) | 0;\n    hi = (hi + Math.imul(ah8, bh1)) | 0;\n    lo = (lo + Math.imul(al7, bl2)) | 0;\n    mid = (mid + Math.imul(al7, bh2)) | 0;\n    mid = (mid + Math.imul(ah7, bl2)) | 0;\n    hi = (hi + Math.imul(ah7, bh2)) | 0;\n    lo = (lo + Math.imul(al6, bl3)) | 0;\n    mid = (mid + Math.imul(al6, bh3)) | 0;\n    mid = (mid + Math.imul(ah6, bl3)) | 0;\n    hi = (hi + Math.imul(ah6, bh3)) | 0;\n    lo = (lo + Math.imul(al5, bl4)) | 0;\n    mid = (mid + Math.imul(al5, bh4)) | 0;\n    mid = (mid + Math.imul(ah5, bl4)) | 0;\n    hi = (hi + Math.imul(ah5, bh4)) | 0;\n    lo = (lo + Math.imul(al4, bl5)) | 0;\n    mid = (mid + Math.imul(al4, bh5)) | 0;\n    mid = (mid + Math.imul(ah4, bl5)) | 0;\n    hi = (hi + Math.imul(ah4, bh5)) | 0;\n    lo = (lo + Math.imul(al3, bl6)) | 0;\n    mid = (mid + Math.imul(al3, bh6)) | 0;\n    mid = (mid + Math.imul(ah3, bl6)) | 0;\n    hi = (hi + Math.imul(ah3, bh6)) | 0;\n    lo = (lo + Math.imul(al2, bl7)) | 0;\n    mid = (mid + Math.imul(al2, bh7)) | 0;\n    mid = (mid + Math.imul(ah2, bl7)) | 0;\n    hi = (hi + Math.imul(ah2, bh7)) | 0;\n    lo = (lo + Math.imul(al1, bl8)) | 0;\n    mid = (mid + Math.imul(al1, bh8)) | 0;\n    mid = (mid + Math.imul(ah1, bl8)) | 0;\n    hi = (hi + Math.imul(ah1, bh8)) | 0;\n    lo = (lo + Math.imul(al0, bl9)) | 0;\n    mid = (mid + Math.imul(al0, bh9)) | 0;\n    mid = (mid + Math.imul(ah0, bl9)) | 0;\n    hi = (hi + Math.imul(ah0, bh9)) | 0;\n    var w9 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w9 >>> 26)) | 0;\n    w9 &= 0x3ffffff;\n    /* k = 10 */\n    lo = Math.imul(al9, bl1);\n    mid = Math.imul(al9, bh1);\n    mid = (mid + Math.imul(ah9, bl1)) | 0;\n    hi = Math.imul(ah9, bh1);\n    lo = (lo + Math.imul(al8, bl2)) | 0;\n    mid = (mid + Math.imul(al8, bh2)) | 0;\n    mid = (mid + Math.imul(ah8, bl2)) | 0;\n    hi = (hi + Math.imul(ah8, bh2)) | 0;\n    lo = (lo + Math.imul(al7, bl3)) | 0;\n    mid = (mid + Math.imul(al7, bh3)) | 0;\n    mid = (mid + Math.imul(ah7, bl3)) | 0;\n    hi = (hi + Math.imul(ah7, bh3)) | 0;\n    lo = (lo + Math.imul(al6, bl4)) | 0;\n    mid = (mid + Math.imul(al6, bh4)) | 0;\n    mid = (mid + Math.imul(ah6, bl4)) | 0;\n    hi = (hi + Math.imul(ah6, bh4)) | 0;\n    lo = (lo + Math.imul(al5, bl5)) | 0;\n    mid = (mid + Math.imul(al5, bh5)) | 0;\n    mid = (mid + Math.imul(ah5, bl5)) | 0;\n    hi = (hi + Math.imul(ah5, bh5)) | 0;\n    lo = (lo + Math.imul(al4, bl6)) | 0;\n    mid = (mid + Math.imul(al4, bh6)) | 0;\n    mid = (mid + Math.imul(ah4, bl6)) | 0;\n    hi = (hi + Math.imul(ah4, bh6)) | 0;\n    lo = (lo + Math.imul(al3, bl7)) | 0;\n    mid = (mid + Math.imul(al3, bh7)) | 0;\n    mid = (mid + Math.imul(ah3, bl7)) | 0;\n    hi = (hi + Math.imul(ah3, bh7)) | 0;\n    lo = (lo + Math.imul(al2, bl8)) | 0;\n    mid = (mid + Math.imul(al2, bh8)) | 0;\n    mid = (mid + Math.imul(ah2, bl8)) | 0;\n    hi = (hi + Math.imul(ah2, bh8)) | 0;\n    lo = (lo + Math.imul(al1, bl9)) | 0;\n    mid = (mid + Math.imul(al1, bh9)) | 0;\n    mid = (mid + Math.imul(ah1, bl9)) | 0;\n    hi = (hi + Math.imul(ah1, bh9)) | 0;\n    var w10 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w10 >>> 26)) | 0;\n    w10 &= 0x3ffffff;\n    /* k = 11 */\n    lo = Math.imul(al9, bl2);\n    mid = Math.imul(al9, bh2);\n    mid = (mid + Math.imul(ah9, bl2)) | 0;\n    hi = Math.imul(ah9, bh2);\n    lo = (lo + Math.imul(al8, bl3)) | 0;\n    mid = (mid + Math.imul(al8, bh3)) | 0;\n    mid = (mid + Math.imul(ah8, bl3)) | 0;\n    hi = (hi + Math.imul(ah8, bh3)) | 0;\n    lo = (lo + Math.imul(al7, bl4)) | 0;\n    mid = (mid + Math.imul(al7, bh4)) | 0;\n    mid = (mid + Math.imul(ah7, bl4)) | 0;\n    hi = (hi + Math.imul(ah7, bh4)) | 0;\n    lo = (lo + Math.imul(al6, bl5)) | 0;\n    mid = (mid + Math.imul(al6, bh5)) | 0;\n    mid = (mid + Math.imul(ah6, bl5)) | 0;\n    hi = (hi + Math.imul(ah6, bh5)) | 0;\n    lo = (lo + Math.imul(al5, bl6)) | 0;\n    mid = (mid + Math.imul(al5, bh6)) | 0;\n    mid = (mid + Math.imul(ah5, bl6)) | 0;\n    hi = (hi + Math.imul(ah5, bh6)) | 0;\n    lo = (lo + Math.imul(al4, bl7)) | 0;\n    mid = (mid + Math.imul(al4, bh7)) | 0;\n    mid = (mid + Math.imul(ah4, bl7)) | 0;\n    hi = (hi + Math.imul(ah4, bh7)) | 0;\n    lo = (lo + Math.imul(al3, bl8)) | 0;\n    mid = (mid + Math.imul(al3, bh8)) | 0;\n    mid = (mid + Math.imul(ah3, bl8)) | 0;\n    hi = (hi + Math.imul(ah3, bh8)) | 0;\n    lo = (lo + Math.imul(al2, bl9)) | 0;\n    mid = (mid + Math.imul(al2, bh9)) | 0;\n    mid = (mid + Math.imul(ah2, bl9)) | 0;\n    hi = (hi + Math.imul(ah2, bh9)) | 0;\n    var w11 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w11 >>> 26)) | 0;\n    w11 &= 0x3ffffff;\n    /* k = 12 */\n    lo = Math.imul(al9, bl3);\n    mid = Math.imul(al9, bh3);\n    mid = (mid + Math.imul(ah9, bl3)) | 0;\n    hi = Math.imul(ah9, bh3);\n    lo = (lo + Math.imul(al8, bl4)) | 0;\n    mid = (mid + Math.imul(al8, bh4)) | 0;\n    mid = (mid + Math.imul(ah8, bl4)) | 0;\n    hi = (hi + Math.imul(ah8, bh4)) | 0;\n    lo = (lo + Math.imul(al7, bl5)) | 0;\n    mid = (mid + Math.imul(al7, bh5)) | 0;\n    mid = (mid + Math.imul(ah7, bl5)) | 0;\n    hi = (hi + Math.imul(ah7, bh5)) | 0;\n    lo = (lo + Math.imul(al6, bl6)) | 0;\n    mid = (mid + Math.imul(al6, bh6)) | 0;\n    mid = (mid + Math.imul(ah6, bl6)) | 0;\n    hi = (hi + Math.imul(ah6, bh6)) | 0;\n    lo = (lo + Math.imul(al5, bl7)) | 0;\n    mid = (mid + Math.imul(al5, bh7)) | 0;\n    mid = (mid + Math.imul(ah5, bl7)) | 0;\n    hi = (hi + Math.imul(ah5, bh7)) | 0;\n    lo = (lo + Math.imul(al4, bl8)) | 0;\n    mid = (mid + Math.imul(al4, bh8)) | 0;\n    mid = (mid + Math.imul(ah4, bl8)) | 0;\n    hi = (hi + Math.imul(ah4, bh8)) | 0;\n    lo = (lo + Math.imul(al3, bl9)) | 0;\n    mid = (mid + Math.imul(al3, bh9)) | 0;\n    mid = (mid + Math.imul(ah3, bl9)) | 0;\n    hi = (hi + Math.imul(ah3, bh9)) | 0;\n    var w12 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w12 >>> 26)) | 0;\n    w12 &= 0x3ffffff;\n    /* k = 13 */\n    lo = Math.imul(al9, bl4);\n    mid = Math.imul(al9, bh4);\n    mid = (mid + Math.imul(ah9, bl4)) | 0;\n    hi = Math.imul(ah9, bh4);\n    lo = (lo + Math.imul(al8, bl5)) | 0;\n    mid = (mid + Math.imul(al8, bh5)) | 0;\n    mid = (mid + Math.imul(ah8, bl5)) | 0;\n    hi = (hi + Math.imul(ah8, bh5)) | 0;\n    lo = (lo + Math.imul(al7, bl6)) | 0;\n    mid = (mid + Math.imul(al7, bh6)) | 0;\n    mid = (mid + Math.imul(ah7, bl6)) | 0;\n    hi = (hi + Math.imul(ah7, bh6)) | 0;\n    lo = (lo + Math.imul(al6, bl7)) | 0;\n    mid = (mid + Math.imul(al6, bh7)) | 0;\n    mid = (mid + Math.imul(ah6, bl7)) | 0;\n    hi = (hi + Math.imul(ah6, bh7)) | 0;\n    lo = (lo + Math.imul(al5, bl8)) | 0;\n    mid = (mid + Math.imul(al5, bh8)) | 0;\n    mid = (mid + Math.imul(ah5, bl8)) | 0;\n    hi = (hi + Math.imul(ah5, bh8)) | 0;\n    lo = (lo + Math.imul(al4, bl9)) | 0;\n    mid = (mid + Math.imul(al4, bh9)) | 0;\n    mid = (mid + Math.imul(ah4, bl9)) | 0;\n    hi = (hi + Math.imul(ah4, bh9)) | 0;\n    var w13 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w13 >>> 26)) | 0;\n    w13 &= 0x3ffffff;\n    /* k = 14 */\n    lo = Math.imul(al9, bl5);\n    mid = Math.imul(al9, bh5);\n    mid = (mid + Math.imul(ah9, bl5)) | 0;\n    hi = Math.imul(ah9, bh5);\n    lo = (lo + Math.imul(al8, bl6)) | 0;\n    mid = (mid + Math.imul(al8, bh6)) | 0;\n    mid = (mid + Math.imul(ah8, bl6)) | 0;\n    hi = (hi + Math.imul(ah8, bh6)) | 0;\n    lo = (lo + Math.imul(al7, bl7)) | 0;\n    mid = (mid + Math.imul(al7, bh7)) | 0;\n    mid = (mid + Math.imul(ah7, bl7)) | 0;\n    hi = (hi + Math.imul(ah7, bh7)) | 0;\n    lo = (lo + Math.imul(al6, bl8)) | 0;\n    mid = (mid + Math.imul(al6, bh8)) | 0;\n    mid = (mid + Math.imul(ah6, bl8)) | 0;\n    hi = (hi + Math.imul(ah6, bh8)) | 0;\n    lo = (lo + Math.imul(al5, bl9)) | 0;\n    mid = (mid + Math.imul(al5, bh9)) | 0;\n    mid = (mid + Math.imul(ah5, bl9)) | 0;\n    hi = (hi + Math.imul(ah5, bh9)) | 0;\n    var w14 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w14 >>> 26)) | 0;\n    w14 &= 0x3ffffff;\n    /* k = 15 */\n    lo = Math.imul(al9, bl6);\n    mid = Math.imul(al9, bh6);\n    mid = (mid + Math.imul(ah9, bl6)) | 0;\n    hi = Math.imul(ah9, bh6);\n    lo = (lo + Math.imul(al8, bl7)) | 0;\n    mid = (mid + Math.imul(al8, bh7)) | 0;\n    mid = (mid + Math.imul(ah8, bl7)) | 0;\n    hi = (hi + Math.imul(ah8, bh7)) | 0;\n    lo = (lo + Math.imul(al7, bl8)) | 0;\n    mid = (mid + Math.imul(al7, bh8)) | 0;\n    mid = (mid + Math.imul(ah7, bl8)) | 0;\n    hi = (hi + Math.imul(ah7, bh8)) | 0;\n    lo = (lo + Math.imul(al6, bl9)) | 0;\n    mid = (mid + Math.imul(al6, bh9)) | 0;\n    mid = (mid + Math.imul(ah6, bl9)) | 0;\n    hi = (hi + Math.imul(ah6, bh9)) | 0;\n    var w15 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w15 >>> 26)) | 0;\n    w15 &= 0x3ffffff;\n    /* k = 16 */\n    lo = Math.imul(al9, bl7);\n    mid = Math.imul(al9, bh7);\n    mid = (mid + Math.imul(ah9, bl7)) | 0;\n    hi = Math.imul(ah9, bh7);\n    lo = (lo + Math.imul(al8, bl8)) | 0;\n    mid = (mid + Math.imul(al8, bh8)) | 0;\n    mid = (mid + Math.imul(ah8, bl8)) | 0;\n    hi = (hi + Math.imul(ah8, bh8)) | 0;\n    lo = (lo + Math.imul(al7, bl9)) | 0;\n    mid = (mid + Math.imul(al7, bh9)) | 0;\n    mid = (mid + Math.imul(ah7, bl9)) | 0;\n    hi = (hi + Math.imul(ah7, bh9)) | 0;\n    var w16 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w16 >>> 26)) | 0;\n    w16 &= 0x3ffffff;\n    /* k = 17 */\n    lo = Math.imul(al9, bl8);\n    mid = Math.imul(al9, bh8);\n    mid = (mid + Math.imul(ah9, bl8)) | 0;\n    hi = Math.imul(ah9, bh8);\n    lo = (lo + Math.imul(al8, bl9)) | 0;\n    mid = (mid + Math.imul(al8, bh9)) | 0;\n    mid = (mid + Math.imul(ah8, bl9)) | 0;\n    hi = (hi + Math.imul(ah8, bh9)) | 0;\n    var w17 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w17 >>> 26)) | 0;\n    w17 &= 0x3ffffff;\n    /* k = 18 */\n    lo = Math.imul(al9, bl9);\n    mid = Math.imul(al9, bh9);\n    mid = (mid + Math.imul(ah9, bl9)) | 0;\n    hi = Math.imul(ah9, bh9);\n    var w18 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w18 >>> 26)) | 0;\n    w18 &= 0x3ffffff;\n    o[0] = w0;\n    o[1] = w1;\n    o[2] = w2;\n    o[3] = w3;\n    o[4] = w4;\n    o[5] = w5;\n    o[6] = w6;\n    o[7] = w7;\n    o[8] = w8;\n    o[9] = w9;\n    o[10] = w10;\n    o[11] = w11;\n    o[12] = w12;\n    o[13] = w13;\n    o[14] = w14;\n    o[15] = w15;\n    o[16] = w16;\n    o[17] = w17;\n    o[18] = w18;\n    if (c !== 0) {\n      o[19] = c;\n      out.length++;\n    }\n    return out;\n  };\n\n  // Polyfill comb\n  if (!Math.imul) {\n    comb10MulTo = smallMulTo;\n  }\n\n  function bigMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    out.length = self.length + num.length;\n\n    var carry = 0;\n    var hncarry = 0;\n    for (var k = 0; k < out.length - 1; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = hncarry;\n      hncarry = 0;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = k - j;\n        var a = self.words[i] | 0;\n        var b = num.words[j] | 0;\n        var r = a * b;\n\n        var lo = r & 0x3ffffff;\n        ncarry = (ncarry + ((r / 0x4000000) | 0)) | 0;\n        lo = (lo + rword) | 0;\n        rword = lo & 0x3ffffff;\n        ncarry = (ncarry + (lo >>> 26)) | 0;\n\n        hncarry += ncarry >>> 26;\n        ncarry &= 0x3ffffff;\n      }\n      out.words[k] = rword;\n      carry = ncarry;\n      ncarry = hncarry;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  function jumboMulTo (self, num, out) {\n    var fftm = new FFTM();\n    return fftm.mulp(self, num, out);\n  }\n\n  BN.prototype.mulTo = function mulTo (num, out) {\n    var res;\n    var len = this.length + num.length;\n    if (this.length === 10 && num.length === 10) {\n      res = comb10MulTo(this, num, out);\n    } else if (len < 63) {\n      res = smallMulTo(this, num, out);\n    } else if (len < 1024) {\n      res = bigMulTo(this, num, out);\n    } else {\n      res = jumboMulTo(this, num, out);\n    }\n\n    return res;\n  };\n\n  // Cooley-Tukey algorithm for FFT\n  // slightly revisited to rely on looping instead of recursion\n\n  function FFTM (x, y) {\n    this.x = x;\n    this.y = y;\n  }\n\n  FFTM.prototype.makeRBT = function makeRBT (N) {\n    var t = new Array(N);\n    var l = BN.prototype._countBits(N) - 1;\n    for (var i = 0; i < N; i++) {\n      t[i] = this.revBin(i, l, N);\n    }\n\n    return t;\n  };\n\n  // Returns binary-reversed representation of `x`\n  FFTM.prototype.revBin = function revBin (x, l, N) {\n    if (x === 0 || x === N - 1) return x;\n\n    var rb = 0;\n    for (var i = 0; i < l; i++) {\n      rb |= (x & 1) << (l - i - 1);\n      x >>= 1;\n    }\n\n    return rb;\n  };\n\n  // Performs \"tweedling\" phase, therefore 'emulating'\n  // behaviour of the recursive algorithm\n  FFTM.prototype.permute = function permute (rbt, rws, iws, rtws, itws, N) {\n    for (var i = 0; i < N; i++) {\n      rtws[i] = rws[rbt[i]];\n      itws[i] = iws[rbt[i]];\n    }\n  };\n\n  FFTM.prototype.transform = function transform (rws, iws, rtws, itws, N, rbt) {\n    this.permute(rbt, rws, iws, rtws, itws, N);\n\n    for (var s = 1; s < N; s <<= 1) {\n      var l = s << 1;\n\n      var rtwdf = Math.cos(2 * Math.PI / l);\n      var itwdf = Math.sin(2 * Math.PI / l);\n\n      for (var p = 0; p < N; p += l) {\n        var rtwdf_ = rtwdf;\n        var itwdf_ = itwdf;\n\n        for (var j = 0; j < s; j++) {\n          var re = rtws[p + j];\n          var ie = itws[p + j];\n\n          var ro = rtws[p + j + s];\n          var io = itws[p + j + s];\n\n          var rx = rtwdf_ * ro - itwdf_ * io;\n\n          io = rtwdf_ * io + itwdf_ * ro;\n          ro = rx;\n\n          rtws[p + j] = re + ro;\n          itws[p + j] = ie + io;\n\n          rtws[p + j + s] = re - ro;\n          itws[p + j + s] = ie - io;\n\n          /* jshint maxdepth : false */\n          if (j !== l) {\n            rx = rtwdf * rtwdf_ - itwdf * itwdf_;\n\n            itwdf_ = rtwdf * itwdf_ + itwdf * rtwdf_;\n            rtwdf_ = rx;\n          }\n        }\n      }\n    }\n  };\n\n  FFTM.prototype.guessLen13b = function guessLen13b (n, m) {\n    var N = Math.max(m, n) | 1;\n    var odd = N & 1;\n    var i = 0;\n    for (N = N / 2 | 0; N; N = N >>> 1) {\n      i++;\n    }\n\n    return 1 << i + 1 + odd;\n  };\n\n  FFTM.prototype.conjugate = function conjugate (rws, iws, N) {\n    if (N <= 1) return;\n\n    for (var i = 0; i < N / 2; i++) {\n      var t = rws[i];\n\n      rws[i] = rws[N - i - 1];\n      rws[N - i - 1] = t;\n\n      t = iws[i];\n\n      iws[i] = -iws[N - i - 1];\n      iws[N - i - 1] = -t;\n    }\n  };\n\n  FFTM.prototype.normalize13b = function normalize13b (ws, N) {\n    var carry = 0;\n    for (var i = 0; i < N / 2; i++) {\n      var w = Math.round(ws[2 * i + 1] / N) * 0x2000 +\n        Math.round(ws[2 * i] / N) +\n        carry;\n\n      ws[i] = w & 0x3ffffff;\n\n      if (w < 0x4000000) {\n        carry = 0;\n      } else {\n        carry = w / 0x4000000 | 0;\n      }\n    }\n\n    return ws;\n  };\n\n  FFTM.prototype.convert13b = function convert13b (ws, len, rws, N) {\n    var carry = 0;\n    for (var i = 0; i < len; i++) {\n      carry = carry + (ws[i] | 0);\n\n      rws[2 * i] = carry & 0x1fff; carry = carry >>> 13;\n      rws[2 * i + 1] = carry & 0x1fff; carry = carry >>> 13;\n    }\n\n    // Pad with zeroes\n    for (i = 2 * len; i < N; ++i) {\n      rws[i] = 0;\n    }\n\n    assert(carry === 0);\n    assert((carry & ~0x1fff) === 0);\n  };\n\n  FFTM.prototype.stub = function stub (N) {\n    var ph = new Array(N);\n    for (var i = 0; i < N; i++) {\n      ph[i] = 0;\n    }\n\n    return ph;\n  };\n\n  FFTM.prototype.mulp = function mulp (x, y, out) {\n    var N = 2 * this.guessLen13b(x.length, y.length);\n\n    var rbt = this.makeRBT(N);\n\n    var _ = this.stub(N);\n\n    var rws = new Array(N);\n    var rwst = new Array(N);\n    var iwst = new Array(N);\n\n    var nrws = new Array(N);\n    var nrwst = new Array(N);\n    var niwst = new Array(N);\n\n    var rmws = out.words;\n    rmws.length = N;\n\n    this.convert13b(x.words, x.length, rws, N);\n    this.convert13b(y.words, y.length, nrws, N);\n\n    this.transform(rws, _, rwst, iwst, N, rbt);\n    this.transform(nrws, _, nrwst, niwst, N, rbt);\n\n    for (var i = 0; i < N; i++) {\n      var rx = rwst[i] * nrwst[i] - iwst[i] * niwst[i];\n      iwst[i] = rwst[i] * niwst[i] + iwst[i] * nrwst[i];\n      rwst[i] = rx;\n    }\n\n    this.conjugate(rwst, iwst, N);\n    this.transform(rwst, iwst, rmws, _, N, rbt);\n    this.conjugate(rmws, _, N);\n    this.normalize13b(rmws, N);\n\n    out.negative = x.negative ^ y.negative;\n    out.length = x.length + y.length;\n    return out.strip();\n  };\n\n  // Multiply `this` by `num`\n  BN.prototype.mul = function mul (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return this.mulTo(num, out);\n  };\n\n  // Multiply employing FFT\n  BN.prototype.mulf = function mulf (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return jumboMulTo(this, num, out);\n  };\n\n  // In-place Multiplication\n  BN.prototype.imul = function imul (num) {\n    return this.clone().mulTo(num, this);\n  };\n\n  BN.prototype.imuln = function imuln (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n\n    // Carry\n    var carry = 0;\n    for (var i = 0; i < this.length; i++) {\n      var w = (this.words[i] | 0) * num;\n      var lo = (w & 0x3ffffff) + (carry & 0x3ffffff);\n      carry >>= 26;\n      carry += (w / 0x4000000) | 0;\n      // NOTE: lo is 27bit maximum\n      carry += lo >>> 26;\n      this.words[i] = lo & 0x3ffffff;\n    }\n\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n\n    return this;\n  };\n\n  BN.prototype.muln = function muln (num) {\n    return this.clone().imuln(num);\n  };\n\n  // `this` * `this`\n  BN.prototype.sqr = function sqr () {\n    return this.mul(this);\n  };\n\n  // `this` * `this` in-place\n  BN.prototype.isqr = function isqr () {\n    return this.imul(this.clone());\n  };\n\n  // Math.pow(`this`, `num`)\n  BN.prototype.pow = function pow (num) {\n    var w = toBitArray(num);\n    if (w.length === 0) return new BN(1);\n\n    // Skip leading zeroes\n    var res = this;\n    for (var i = 0; i < w.length; i++, res = res.sqr()) {\n      if (w[i] !== 0) break;\n    }\n\n    if (++i < w.length) {\n      for (var q = res.sqr(); i < w.length; i++, q = q.sqr()) {\n        if (w[i] === 0) continue;\n\n        res = res.mul(q);\n      }\n    }\n\n    return res;\n  };\n\n  // Shift-left in-place\n  BN.prototype.iushln = function iushln (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n    var carryMask = (0x3ffffff >>> (26 - r)) << (26 - r);\n    var i;\n\n    if (r !== 0) {\n      var carry = 0;\n\n      for (i = 0; i < this.length; i++) {\n        var newCarry = this.words[i] & carryMask;\n        var c = ((this.words[i] | 0) - newCarry) << r;\n        this.words[i] = c | carry;\n        carry = newCarry >>> (26 - r);\n      }\n\n      if (carry) {\n        this.words[i] = carry;\n        this.length++;\n      }\n    }\n\n    if (s !== 0) {\n      for (i = this.length - 1; i >= 0; i--) {\n        this.words[i + s] = this.words[i];\n      }\n\n      for (i = 0; i < s; i++) {\n        this.words[i] = 0;\n      }\n\n      this.length += s;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishln = function ishln (bits) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushln(bits);\n  };\n\n  // Shift-right in-place\n  // NOTE: `hint` is a lowest bit before trailing zeroes\n  // NOTE: if `extended` is present - it will be filled with destroyed bits\n  BN.prototype.iushrn = function iushrn (bits, hint, extended) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var h;\n    if (hint) {\n      h = (hint - (hint % 26)) / 26;\n    } else {\n      h = 0;\n    }\n\n    var r = bits % 26;\n    var s = Math.min((bits - r) / 26, this.length);\n    var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n    var maskedWords = extended;\n\n    h -= s;\n    h = Math.max(0, h);\n\n    // Extended mode, copy masked part\n    if (maskedWords) {\n      for (var i = 0; i < s; i++) {\n        maskedWords.words[i] = this.words[i];\n      }\n      maskedWords.length = s;\n    }\n\n    if (s === 0) {\n      // No-op, we should not move anything at all\n    } else if (this.length > s) {\n      this.length -= s;\n      for (i = 0; i < this.length; i++) {\n        this.words[i] = this.words[i + s];\n      }\n    } else {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    var carry = 0;\n    for (i = this.length - 1; i >= 0 && (carry !== 0 || i >= h); i--) {\n      var word = this.words[i] | 0;\n      this.words[i] = (carry << (26 - r)) | (word >>> r);\n      carry = word & mask;\n    }\n\n    // Push carried bits as a mask\n    if (maskedWords && carry !== 0) {\n      maskedWords.words[maskedWords.length++] = carry;\n    }\n\n    if (this.length === 0) {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishrn = function ishrn (bits, hint, extended) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushrn(bits, hint, extended);\n  };\n\n  // Shift-left\n  BN.prototype.shln = function shln (bits) {\n    return this.clone().ishln(bits);\n  };\n\n  BN.prototype.ushln = function ushln (bits) {\n    return this.clone().iushln(bits);\n  };\n\n  // Shift-right\n  BN.prototype.shrn = function shrn (bits) {\n    return this.clone().ishrn(bits);\n  };\n\n  BN.prototype.ushrn = function ushrn (bits) {\n    return this.clone().iushrn(bits);\n  };\n\n  // Test if n bit is set\n  BN.prototype.testn = function testn (bit) {\n    assert(typeof bit === 'number' && bit >= 0);\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) return false;\n\n    // Check bit and return\n    var w = this.words[s];\n\n    return !!(w & q);\n  };\n\n  // Return only lowers bits of number (in-place)\n  BN.prototype.imaskn = function imaskn (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n\n    assert(this.negative === 0, 'imaskn works only with positive numbers');\n\n    if (this.length <= s) {\n      return this;\n    }\n\n    if (r !== 0) {\n      s++;\n    }\n    this.length = Math.min(s, this.length);\n\n    if (r !== 0) {\n      var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n      this.words[this.length - 1] &= mask;\n    }\n\n    return this.strip();\n  };\n\n  // Return only lowers bits of number\n  BN.prototype.maskn = function maskn (bits) {\n    return this.clone().imaskn(bits);\n  };\n\n  // Add plain number `num` to `this`\n  BN.prototype.iaddn = function iaddn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.isubn(-num);\n\n    // Possible sign change\n    if (this.negative !== 0) {\n      if (this.length === 1 && (this.words[0] | 0) < num) {\n        this.words[0] = num - (this.words[0] | 0);\n        this.negative = 0;\n        return this;\n      }\n\n      this.negative = 0;\n      this.isubn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    // Add without checks\n    return this._iaddn(num);\n  };\n\n  BN.prototype._iaddn = function _iaddn (num) {\n    this.words[0] += num;\n\n    // Carry\n    for (var i = 0; i < this.length && this.words[i] >= 0x4000000; i++) {\n      this.words[i] -= 0x4000000;\n      if (i === this.length - 1) {\n        this.words[i + 1] = 1;\n      } else {\n        this.words[i + 1]++;\n      }\n    }\n    this.length = Math.max(this.length, i + 1);\n\n    return this;\n  };\n\n  // Subtract plain number `num` from `this`\n  BN.prototype.isubn = function isubn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.iaddn(-num);\n\n    if (this.negative !== 0) {\n      this.negative = 0;\n      this.iaddn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    this.words[0] -= num;\n\n    if (this.length === 1 && this.words[0] < 0) {\n      this.words[0] = -this.words[0];\n      this.negative = 1;\n    } else {\n      // Carry\n      for (var i = 0; i < this.length && this.words[i] < 0; i++) {\n        this.words[i] += 0x4000000;\n        this.words[i + 1] -= 1;\n      }\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.addn = function addn (num) {\n    return this.clone().iaddn(num);\n  };\n\n  BN.prototype.subn = function subn (num) {\n    return this.clone().isubn(num);\n  };\n\n  BN.prototype.iabs = function iabs () {\n    this.negative = 0;\n\n    return this;\n  };\n\n  BN.prototype.abs = function abs () {\n    return this.clone().iabs();\n  };\n\n  BN.prototype._ishlnsubmul = function _ishlnsubmul (num, mul, shift) {\n    var len = num.length + shift;\n    var i;\n\n    this._expand(len);\n\n    var w;\n    var carry = 0;\n    for (i = 0; i < num.length; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      var right = (num.words[i] | 0) * mul;\n      w -= right & 0x3ffffff;\n      carry = (w >> 26) - ((right / 0x4000000) | 0);\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n    for (; i < this.length - shift; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      carry = w >> 26;\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n\n    if (carry === 0) return this.strip();\n\n    // Subtraction overflow\n    assert(carry === -1);\n    carry = 0;\n    for (i = 0; i < this.length; i++) {\n      w = -(this.words[i] | 0) + carry;\n      carry = w >> 26;\n      this.words[i] = w & 0x3ffffff;\n    }\n    this.negative = 1;\n\n    return this.strip();\n  };\n\n  BN.prototype._wordDiv = function _wordDiv (num, mode) {\n    var shift = this.length - num.length;\n\n    var a = this.clone();\n    var b = num;\n\n    // Normalize\n    var bhi = b.words[b.length - 1] | 0;\n    var bhiBits = this._countBits(bhi);\n    shift = 26 - bhiBits;\n    if (shift !== 0) {\n      b = b.ushln(shift);\n      a.iushln(shift);\n      bhi = b.words[b.length - 1] | 0;\n    }\n\n    // Initialize quotient\n    var m = a.length - b.length;\n    var q;\n\n    if (mode !== 'mod') {\n      q = new BN(null);\n      q.length = m + 1;\n      q.words = new Array(q.length);\n      for (var i = 0; i < q.length; i++) {\n        q.words[i] = 0;\n      }\n    }\n\n    var diff = a.clone()._ishlnsubmul(b, 1, m);\n    if (diff.negative === 0) {\n      a = diff;\n      if (q) {\n        q.words[m] = 1;\n      }\n    }\n\n    for (var j = m - 1; j >= 0; j--) {\n      var qj = (a.words[b.length + j] | 0) * 0x4000000 +\n        (a.words[b.length + j - 1] | 0);\n\n      // NOTE: (qj / bhi) is (0x3ffffff * 0x4000000 + 0x3ffffff) / 0x2000000 max\n      // (0x7ffffff)\n      qj = Math.min((qj / bhi) | 0, 0x3ffffff);\n\n      a._ishlnsubmul(b, qj, j);\n      while (a.negative !== 0) {\n        qj--;\n        a.negative = 0;\n        a._ishlnsubmul(b, 1, j);\n        if (!a.isZero()) {\n          a.negative ^= 1;\n        }\n      }\n      if (q) {\n        q.words[j] = qj;\n      }\n    }\n    if (q) {\n      q.strip();\n    }\n    a.strip();\n\n    // Denormalize\n    if (mode !== 'div' && shift !== 0) {\n      a.iushrn(shift);\n    }\n\n    return {\n      div: q || null,\n      mod: a\n    };\n  };\n\n  // NOTE: 1) `mode` can be set to `mod` to request mod only,\n  //       to `div` to request div only, or be absent to\n  //       request both div & mod\n  //       2) `positive` is true if unsigned mod is requested\n  BN.prototype.divmod = function divmod (num, mode, positive) {\n    assert(!num.isZero());\n\n    if (this.isZero()) {\n      return {\n        div: new BN(0),\n        mod: new BN(0)\n      };\n    }\n\n    var div, mod, res;\n    if (this.negative !== 0 && num.negative === 0) {\n      res = this.neg().divmod(num, mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.iadd(num);\n        }\n      }\n\n      return {\n        div: div,\n        mod: mod\n      };\n    }\n\n    if (this.negative === 0 && num.negative !== 0) {\n      res = this.divmod(num.neg(), mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      return {\n        div: div,\n        mod: res.mod\n      };\n    }\n\n    if ((this.negative & num.negative) !== 0) {\n      res = this.neg().divmod(num.neg(), mode);\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.isub(num);\n        }\n      }\n\n      return {\n        div: res.div,\n        mod: mod\n      };\n    }\n\n    // Both numbers are positive at this point\n\n    // Strip both numbers to approximate shift value\n    if (num.length > this.length || this.cmp(num) < 0) {\n      return {\n        div: new BN(0),\n        mod: this\n      };\n    }\n\n    // Very short reduction\n    if (num.length === 1) {\n      if (mode === 'div') {\n        return {\n          div: this.divn(num.words[0]),\n          mod: null\n        };\n      }\n\n      if (mode === 'mod') {\n        return {\n          div: null,\n          mod: new BN(this.modn(num.words[0]))\n        };\n      }\n\n      return {\n        div: this.divn(num.words[0]),\n        mod: new BN(this.modn(num.words[0]))\n      };\n    }\n\n    return this._wordDiv(num, mode);\n  };\n\n  // Find `this` / `num`\n  BN.prototype.div = function div (num) {\n    return this.divmod(num, 'div', false).div;\n  };\n\n  // Find `this` % `num`\n  BN.prototype.mod = function mod (num) {\n    return this.divmod(num, 'mod', false).mod;\n  };\n\n  BN.prototype.umod = function umod (num) {\n    return this.divmod(num, 'mod', true).mod;\n  };\n\n  // Find Round(`this` / `num`)\n  BN.prototype.divRound = function divRound (num) {\n    var dm = this.divmod(num);\n\n    // Fast case - exact division\n    if (dm.mod.isZero()) return dm.div;\n\n    var mod = dm.div.negative !== 0 ? dm.mod.isub(num) : dm.mod;\n\n    var half = num.ushrn(1);\n    var r2 = num.andln(1);\n    var cmp = mod.cmp(half);\n\n    // Round down\n    if (cmp < 0 || r2 === 1 && cmp === 0) return dm.div;\n\n    // Round up\n    return dm.div.negative !== 0 ? dm.div.isubn(1) : dm.div.iaddn(1);\n  };\n\n  BN.prototype.modn = function modn (num) {\n    assert(num <= 0x3ffffff);\n    var p = (1 << 26) % num;\n\n    var acc = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      acc = (p * acc + (this.words[i] | 0)) % num;\n    }\n\n    return acc;\n  };\n\n  // In-place division by number\n  BN.prototype.idivn = function idivn (num) {\n    assert(num <= 0x3ffffff);\n\n    var carry = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var w = (this.words[i] | 0) + carry * 0x4000000;\n      this.words[i] = (w / num) | 0;\n      carry = w % num;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.divn = function divn (num) {\n    return this.clone().idivn(num);\n  };\n\n  BN.prototype.egcd = function egcd (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var x = this;\n    var y = p.clone();\n\n    if (x.negative !== 0) {\n      x = x.umod(p);\n    } else {\n      x = x.clone();\n    }\n\n    // A * x + B * y = x\n    var A = new BN(1);\n    var B = new BN(0);\n\n    // C * x + D * y = y\n    var C = new BN(0);\n    var D = new BN(1);\n\n    var g = 0;\n\n    while (x.isEven() && y.isEven()) {\n      x.iushrn(1);\n      y.iushrn(1);\n      ++g;\n    }\n\n    var yp = y.clone();\n    var xp = x.clone();\n\n    while (!x.isZero()) {\n      for (var i = 0, im = 1; (x.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        x.iushrn(i);\n        while (i-- > 0) {\n          if (A.isOdd() || B.isOdd()) {\n            A.iadd(yp);\n            B.isub(xp);\n          }\n\n          A.iushrn(1);\n          B.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (y.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        y.iushrn(j);\n        while (j-- > 0) {\n          if (C.isOdd() || D.isOdd()) {\n            C.iadd(yp);\n            D.isub(xp);\n          }\n\n          C.iushrn(1);\n          D.iushrn(1);\n        }\n      }\n\n      if (x.cmp(y) >= 0) {\n        x.isub(y);\n        A.isub(C);\n        B.isub(D);\n      } else {\n        y.isub(x);\n        C.isub(A);\n        D.isub(B);\n      }\n    }\n\n    return {\n      a: C,\n      b: D,\n      gcd: y.iushln(g)\n    };\n  };\n\n  // This is reduced incarnation of the binary EEA\n  // above, designated to invert members of the\n  // _prime_ fields F(p) at a maximal speed\n  BN.prototype._invmp = function _invmp (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var a = this;\n    var b = p.clone();\n\n    if (a.negative !== 0) {\n      a = a.umod(p);\n    } else {\n      a = a.clone();\n    }\n\n    var x1 = new BN(1);\n    var x2 = new BN(0);\n\n    var delta = b.clone();\n\n    while (a.cmpn(1) > 0 && b.cmpn(1) > 0) {\n      for (var i = 0, im = 1; (a.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        a.iushrn(i);\n        while (i-- > 0) {\n          if (x1.isOdd()) {\n            x1.iadd(delta);\n          }\n\n          x1.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (b.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        b.iushrn(j);\n        while (j-- > 0) {\n          if (x2.isOdd()) {\n            x2.iadd(delta);\n          }\n\n          x2.iushrn(1);\n        }\n      }\n\n      if (a.cmp(b) >= 0) {\n        a.isub(b);\n        x1.isub(x2);\n      } else {\n        b.isub(a);\n        x2.isub(x1);\n      }\n    }\n\n    var res;\n    if (a.cmpn(1) === 0) {\n      res = x1;\n    } else {\n      res = x2;\n    }\n\n    if (res.cmpn(0) < 0) {\n      res.iadd(p);\n    }\n\n    return res;\n  };\n\n  BN.prototype.gcd = function gcd (num) {\n    if (this.isZero()) return num.abs();\n    if (num.isZero()) return this.abs();\n\n    var a = this.clone();\n    var b = num.clone();\n    a.negative = 0;\n    b.negative = 0;\n\n    // Remove common factor of two\n    for (var shift = 0; a.isEven() && b.isEven(); shift++) {\n      a.iushrn(1);\n      b.iushrn(1);\n    }\n\n    do {\n      while (a.isEven()) {\n        a.iushrn(1);\n      }\n      while (b.isEven()) {\n        b.iushrn(1);\n      }\n\n      var r = a.cmp(b);\n      if (r < 0) {\n        // Swap `a` and `b` to make `a` always bigger than `b`\n        var t = a;\n        a = b;\n        b = t;\n      } else if (r === 0 || b.cmpn(1) === 0) {\n        break;\n      }\n\n      a.isub(b);\n    } while (true);\n\n    return b.iushln(shift);\n  };\n\n  // Invert number in the field F(num)\n  BN.prototype.invm = function invm (num) {\n    return this.egcd(num).a.umod(num);\n  };\n\n  BN.prototype.isEven = function isEven () {\n    return (this.words[0] & 1) === 0;\n  };\n\n  BN.prototype.isOdd = function isOdd () {\n    return (this.words[0] & 1) === 1;\n  };\n\n  // And first word and num\n  BN.prototype.andln = function andln (num) {\n    return this.words[0] & num;\n  };\n\n  // Increment at the bit position in-line\n  BN.prototype.bincn = function bincn (bit) {\n    assert(typeof bit === 'number');\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) {\n      this._expand(s + 1);\n      this.words[s] |= q;\n      return this;\n    }\n\n    // Add bit and propagate, if needed\n    var carry = q;\n    for (var i = s; carry !== 0 && i < this.length; i++) {\n      var w = this.words[i] | 0;\n      w += carry;\n      carry = w >>> 26;\n      w &= 0x3ffffff;\n      this.words[i] = w;\n    }\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n    return this;\n  };\n\n  BN.prototype.isZero = function isZero () {\n    return this.length === 1 && this.words[0] === 0;\n  };\n\n  BN.prototype.cmpn = function cmpn (num) {\n    var negative = num < 0;\n\n    if (this.negative !== 0 && !negative) return -1;\n    if (this.negative === 0 && negative) return 1;\n\n    this.strip();\n\n    var res;\n    if (this.length > 1) {\n      res = 1;\n    } else {\n      if (negative) {\n        num = -num;\n      }\n\n      assert(num <= 0x3ffffff, 'Number is too big');\n\n      var w = this.words[0] | 0;\n      res = w === num ? 0 : w < num ? -1 : 1;\n    }\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Compare two numbers and return:\n  // 1 - if `this` > `num`\n  // 0 - if `this` == `num`\n  // -1 - if `this` < `num`\n  BN.prototype.cmp = function cmp (num) {\n    if (this.negative !== 0 && num.negative === 0) return -1;\n    if (this.negative === 0 && num.negative !== 0) return 1;\n\n    var res = this.ucmp(num);\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Unsigned comparison\n  BN.prototype.ucmp = function ucmp (num) {\n    // At this point both numbers have the same sign\n    if (this.length > num.length) return 1;\n    if (this.length < num.length) return -1;\n\n    var res = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var a = this.words[i] | 0;\n      var b = num.words[i] | 0;\n\n      if (a === b) continue;\n      if (a < b) {\n        res = -1;\n      } else if (a > b) {\n        res = 1;\n      }\n      break;\n    }\n    return res;\n  };\n\n  BN.prototype.gtn = function gtn (num) {\n    return this.cmpn(num) === 1;\n  };\n\n  BN.prototype.gt = function gt (num) {\n    return this.cmp(num) === 1;\n  };\n\n  BN.prototype.gten = function gten (num) {\n    return this.cmpn(num) >= 0;\n  };\n\n  BN.prototype.gte = function gte (num) {\n    return this.cmp(num) >= 0;\n  };\n\n  BN.prototype.ltn = function ltn (num) {\n    return this.cmpn(num) === -1;\n  };\n\n  BN.prototype.lt = function lt (num) {\n    return this.cmp(num) === -1;\n  };\n\n  BN.prototype.lten = function lten (num) {\n    return this.cmpn(num) <= 0;\n  };\n\n  BN.prototype.lte = function lte (num) {\n    return this.cmp(num) <= 0;\n  };\n\n  BN.prototype.eqn = function eqn (num) {\n    return this.cmpn(num) === 0;\n  };\n\n  BN.prototype.eq = function eq (num) {\n    return this.cmp(num) === 0;\n  };\n\n  //\n  // A reduce context, could be using montgomery or something better, depending\n  // on the `m` itself.\n  //\n  BN.red = function red (num) {\n    return new Red(num);\n  };\n\n  BN.prototype.toRed = function toRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    assert(this.negative === 0, 'red works only with positives');\n    return ctx.convertTo(this)._forceRed(ctx);\n  };\n\n  BN.prototype.fromRed = function fromRed () {\n    assert(this.red, 'fromRed works only with numbers in reduction context');\n    return this.red.convertFrom(this);\n  };\n\n  BN.prototype._forceRed = function _forceRed (ctx) {\n    this.red = ctx;\n    return this;\n  };\n\n  BN.prototype.forceRed = function forceRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    return this._forceRed(ctx);\n  };\n\n  BN.prototype.redAdd = function redAdd (num) {\n    assert(this.red, 'redAdd works only with red numbers');\n    return this.red.add(this, num);\n  };\n\n  BN.prototype.redIAdd = function redIAdd (num) {\n    assert(this.red, 'redIAdd works only with red numbers');\n    return this.red.iadd(this, num);\n  };\n\n  BN.prototype.redSub = function redSub (num) {\n    assert(this.red, 'redSub works only with red numbers');\n    return this.red.sub(this, num);\n  };\n\n  BN.prototype.redISub = function redISub (num) {\n    assert(this.red, 'redISub works only with red numbers');\n    return this.red.isub(this, num);\n  };\n\n  BN.prototype.redShl = function redShl (num) {\n    assert(this.red, 'redShl works only with red numbers');\n    return this.red.shl(this, num);\n  };\n\n  BN.prototype.redMul = function redMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.mul(this, num);\n  };\n\n  BN.prototype.redIMul = function redIMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.imul(this, num);\n  };\n\n  BN.prototype.redSqr = function redSqr () {\n    assert(this.red, 'redSqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqr(this);\n  };\n\n  BN.prototype.redISqr = function redISqr () {\n    assert(this.red, 'redISqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.isqr(this);\n  };\n\n  // Square root over p\n  BN.prototype.redSqrt = function redSqrt () {\n    assert(this.red, 'redSqrt works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqrt(this);\n  };\n\n  BN.prototype.redInvm = function redInvm () {\n    assert(this.red, 'redInvm works only with red numbers');\n    this.red._verify1(this);\n    return this.red.invm(this);\n  };\n\n  // Return negative clone of `this` % `red modulo`\n  BN.prototype.redNeg = function redNeg () {\n    assert(this.red, 'redNeg works only with red numbers');\n    this.red._verify1(this);\n    return this.red.neg(this);\n  };\n\n  BN.prototype.redPow = function redPow (num) {\n    assert(this.red && !num.red, 'redPow(normalNum)');\n    this.red._verify1(this);\n    return this.red.pow(this, num);\n  };\n\n  // Prime numbers with efficient reduction\n  var primes = {\n    k256: null,\n    p224: null,\n    p192: null,\n    p25519: null\n  };\n\n  // Pseudo-Mersenne prime\n  function MPrime (name, p) {\n    // P = 2 ^ N - K\n    this.name = name;\n    this.p = new BN(p, 16);\n    this.n = this.p.bitLength();\n    this.k = new BN(1).iushln(this.n).isub(this.p);\n\n    this.tmp = this._tmp();\n  }\n\n  MPrime.prototype._tmp = function _tmp () {\n    var tmp = new BN(null);\n    tmp.words = new Array(Math.ceil(this.n / 13));\n    return tmp;\n  };\n\n  MPrime.prototype.ireduce = function ireduce (num) {\n    // Assumes that `num` is less than `P^2`\n    // num = HI * (2 ^ N - K) + HI * K + LO = HI * K + LO (mod P)\n    var r = num;\n    var rlen;\n\n    do {\n      this.split(r, this.tmp);\n      r = this.imulK(r);\n      r = r.iadd(this.tmp);\n      rlen = r.bitLength();\n    } while (rlen > this.n);\n\n    var cmp = rlen < this.n ? -1 : r.ucmp(this.p);\n    if (cmp === 0) {\n      r.words[0] = 0;\n      r.length = 1;\n    } else if (cmp > 0) {\n      r.isub(this.p);\n    } else {\n      r.strip();\n    }\n\n    return r;\n  };\n\n  MPrime.prototype.split = function split (input, out) {\n    input.iushrn(this.n, 0, out);\n  };\n\n  MPrime.prototype.imulK = function imulK (num) {\n    return num.imul(this.k);\n  };\n\n  function K256 () {\n    MPrime.call(\n      this,\n      'k256',\n      'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f');\n  }\n  inherits(K256, MPrime);\n\n  K256.prototype.split = function split (input, output) {\n    // 256 = 9 * 26 + 22\n    var mask = 0x3fffff;\n\n    var outLen = Math.min(input.length, 9);\n    for (var i = 0; i < outLen; i++) {\n      output.words[i] = input.words[i];\n    }\n    output.length = outLen;\n\n    if (input.length <= 9) {\n      input.words[0] = 0;\n      input.length = 1;\n      return;\n    }\n\n    // Shift by 9 limbs\n    var prev = input.words[9];\n    output.words[output.length++] = prev & mask;\n\n    for (i = 10; i < input.length; i++) {\n      var next = input.words[i] | 0;\n      input.words[i - 10] = ((next & mask) << 4) | (prev >>> 22);\n      prev = next;\n    }\n    prev >>>= 22;\n    input.words[i - 10] = prev;\n    if (prev === 0 && input.length > 10) {\n      input.length -= 10;\n    } else {\n      input.length -= 9;\n    }\n  };\n\n  K256.prototype.imulK = function imulK (num) {\n    // K = 0x1000003d1 = [ 0x40, 0x3d1 ]\n    num.words[num.length] = 0;\n    num.words[num.length + 1] = 0;\n    num.length += 2;\n\n    // bounded at: 0x40 * 0x3ffffff + 0x3d0 = 0x100000390\n    var lo = 0;\n    for (var i = 0; i < num.length; i++) {\n      var w = num.words[i] | 0;\n      lo += w * 0x3d1;\n      num.words[i] = lo & 0x3ffffff;\n      lo = w * 0x40 + ((lo / 0x4000000) | 0);\n    }\n\n    // Fast length reduction\n    if (num.words[num.length - 1] === 0) {\n      num.length--;\n      if (num.words[num.length - 1] === 0) {\n        num.length--;\n      }\n    }\n    return num;\n  };\n\n  function P224 () {\n    MPrime.call(\n      this,\n      'p224',\n      'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001');\n  }\n  inherits(P224, MPrime);\n\n  function P192 () {\n    MPrime.call(\n      this,\n      'p192',\n      'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff');\n  }\n  inherits(P192, MPrime);\n\n  function P25519 () {\n    // 2 ^ 255 - 19\n    MPrime.call(\n      this,\n      '25519',\n      '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed');\n  }\n  inherits(P25519, MPrime);\n\n  P25519.prototype.imulK = function imulK (num) {\n    // K = 0x13\n    var carry = 0;\n    for (var i = 0; i < num.length; i++) {\n      var hi = (num.words[i] | 0) * 0x13 + carry;\n      var lo = hi & 0x3ffffff;\n      hi >>>= 26;\n\n      num.words[i] = lo;\n      carry = hi;\n    }\n    if (carry !== 0) {\n      num.words[num.length++] = carry;\n    }\n    return num;\n  };\n\n  // Exported mostly for testing purposes, use plain name instead\n  BN._prime = function prime (name) {\n    // Cached version of prime\n    if (primes[name]) return primes[name];\n\n    var prime;\n    if (name === 'k256') {\n      prime = new K256();\n    } else if (name === 'p224') {\n      prime = new P224();\n    } else if (name === 'p192') {\n      prime = new P192();\n    } else if (name === 'p25519') {\n      prime = new P25519();\n    } else {\n      throw new Error('Unknown prime ' + name);\n    }\n    primes[name] = prime;\n\n    return prime;\n  };\n\n  //\n  // Base reduction engine\n  //\n  function Red (m) {\n    if (typeof m === 'string') {\n      var prime = BN._prime(m);\n      this.m = prime.p;\n      this.prime = prime;\n    } else {\n      assert(m.gtn(1), 'modulus must be greater than 1');\n      this.m = m;\n      this.prime = null;\n    }\n  }\n\n  Red.prototype._verify1 = function _verify1 (a) {\n    assert(a.negative === 0, 'red works only with positives');\n    assert(a.red, 'red works only with red numbers');\n  };\n\n  Red.prototype._verify2 = function _verify2 (a, b) {\n    assert((a.negative | b.negative) === 0, 'red works only with positives');\n    assert(a.red && a.red === b.red,\n      'red works only with red numbers');\n  };\n\n  Red.prototype.imod = function imod (a) {\n    if (this.prime) return this.prime.ireduce(a)._forceRed(this);\n    return a.umod(this.m)._forceRed(this);\n  };\n\n  Red.prototype.neg = function neg (a) {\n    if (a.isZero()) {\n      return a.clone();\n    }\n\n    return this.m.sub(a)._forceRed(this);\n  };\n\n  Red.prototype.add = function add (a, b) {\n    this._verify2(a, b);\n\n    var res = a.add(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.iadd = function iadd (a, b) {\n    this._verify2(a, b);\n\n    var res = a.iadd(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.sub = function sub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.sub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.isub = function isub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.isub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.shl = function shl (a, num) {\n    this._verify1(a);\n    return this.imod(a.ushln(num));\n  };\n\n  Red.prototype.imul = function imul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.imul(b));\n  };\n\n  Red.prototype.mul = function mul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.mul(b));\n  };\n\n  Red.prototype.isqr = function isqr (a) {\n    return this.imul(a, a.clone());\n  };\n\n  Red.prototype.sqr = function sqr (a) {\n    return this.mul(a, a);\n  };\n\n  Red.prototype.sqrt = function sqrt (a) {\n    if (a.isZero()) return a.clone();\n\n    var mod3 = this.m.andln(3);\n    assert(mod3 % 2 === 1);\n\n    // Fast case\n    if (mod3 === 3) {\n      var pow = this.m.add(new BN(1)).iushrn(2);\n      return this.pow(a, pow);\n    }\n\n    // Tonelli-Shanks algorithm (Totally unoptimized and slow)\n    //\n    // Find Q and S, that Q * 2 ^ S = (P - 1)\n    var q = this.m.subn(1);\n    var s = 0;\n    while (!q.isZero() && q.andln(1) === 0) {\n      s++;\n      q.iushrn(1);\n    }\n    assert(!q.isZero());\n\n    var one = new BN(1).toRed(this);\n    var nOne = one.redNeg();\n\n    // Find quadratic non-residue\n    // NOTE: Max is such because of generalized Riemann hypothesis.\n    var lpow = this.m.subn(1).iushrn(1);\n    var z = this.m.bitLength();\n    z = new BN(2 * z * z).toRed(this);\n\n    while (this.pow(z, lpow).cmp(nOne) !== 0) {\n      z.redIAdd(nOne);\n    }\n\n    var c = this.pow(z, q);\n    var r = this.pow(a, q.addn(1).iushrn(1));\n    var t = this.pow(a, q);\n    var m = s;\n    while (t.cmp(one) !== 0) {\n      var tmp = t;\n      for (var i = 0; tmp.cmp(one) !== 0; i++) {\n        tmp = tmp.redSqr();\n      }\n      assert(i < m);\n      var b = this.pow(c, new BN(1).iushln(m - i - 1));\n\n      r = r.redMul(b);\n      c = b.redSqr();\n      t = t.redMul(c);\n      m = i;\n    }\n\n    return r;\n  };\n\n  Red.prototype.invm = function invm (a) {\n    var inv = a._invmp(this.m);\n    if (inv.negative !== 0) {\n      inv.negative = 0;\n      return this.imod(inv).redNeg();\n    } else {\n      return this.imod(inv);\n    }\n  };\n\n  Red.prototype.pow = function pow (a, num) {\n    if (num.isZero()) return new BN(1).toRed(this);\n    if (num.cmpn(1) === 0) return a.clone();\n\n    var windowSize = 4;\n    var wnd = new Array(1 << windowSize);\n    wnd[0] = new BN(1).toRed(this);\n    wnd[1] = a;\n    for (var i = 2; i < wnd.length; i++) {\n      wnd[i] = this.mul(wnd[i - 1], a);\n    }\n\n    var res = wnd[0];\n    var current = 0;\n    var currentLen = 0;\n    var start = num.bitLength() % 26;\n    if (start === 0) {\n      start = 26;\n    }\n\n    for (i = num.length - 1; i >= 0; i--) {\n      var word = num.words[i];\n      for (var j = start - 1; j >= 0; j--) {\n        var bit = (word >> j) & 1;\n        if (res !== wnd[0]) {\n          res = this.sqr(res);\n        }\n\n        if (bit === 0 && current === 0) {\n          currentLen = 0;\n          continue;\n        }\n\n        current <<= 1;\n        current |= bit;\n        currentLen++;\n        if (currentLen !== windowSize && (i !== 0 || j !== 0)) continue;\n\n        res = this.mul(res, wnd[current]);\n        currentLen = 0;\n        current = 0;\n      }\n      start = 26;\n    }\n\n    return res;\n  };\n\n  Red.prototype.convertTo = function convertTo (num) {\n    var r = num.umod(this.m);\n\n    return r === num ? r.clone() : r;\n  };\n\n  Red.prototype.convertFrom = function convertFrom (num) {\n    var res = num.clone();\n    res.red = null;\n    return res;\n  };\n\n  //\n  // Montgomery method engine\n  //\n\n  BN.mont = function mont (num) {\n    return new Mont(num);\n  };\n\n  function Mont (m) {\n    Red.call(this, m);\n\n    this.shift = this.m.bitLength();\n    if (this.shift % 26 !== 0) {\n      this.shift += 26 - (this.shift % 26);\n    }\n\n    this.r = new BN(1).iushln(this.shift);\n    this.r2 = this.imod(this.r.sqr());\n    this.rinv = this.r._invmp(this.m);\n\n    this.minv = this.rinv.mul(this.r).isubn(1).div(this.m);\n    this.minv = this.minv.umod(this.r);\n    this.minv = this.r.sub(this.minv);\n  }\n  inherits(Mont, Red);\n\n  Mont.prototype.convertTo = function convertTo (num) {\n    return this.imod(num.ushln(this.shift));\n  };\n\n  Mont.prototype.convertFrom = function convertFrom (num) {\n    var r = this.imod(num.mul(this.rinv));\n    r.red = null;\n    return r;\n  };\n\n  Mont.prototype.imul = function imul (a, b) {\n    if (a.isZero() || b.isZero()) {\n      a.words[0] = 0;\n      a.length = 1;\n      return a;\n    }\n\n    var t = a.imul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.mul = function mul (a, b) {\n    if (a.isZero() || b.isZero()) return new BN(0)._forceRed(this);\n\n    var t = a.mul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.invm = function invm (a) {\n    // (AR)^-1 * R^2 = (A^-1 * R^-1) * R^2 = A^-1 * R\n    var res = this.imod(a._invmp(this.m).mul(this.r2));\n    return res._forceRed(this);\n  };\n})(typeof module === 'undefined' || module, this);\n","/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n * @license  MIT\n */\n/* eslint-disable no-proto */\n\n'use strict'\n\nvar base64 = require('base64-js')\nvar ieee754 = require('ieee754')\nvar isArray = require('isarray')\n\nexports.Buffer = Buffer\nexports.SlowBuffer = SlowBuffer\nexports.INSPECT_MAX_BYTES = 50\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n *   === true    Use Uint8Array implementation (fastest)\n *   === false   Use Object implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * Due to various browser bugs, sometimes the Object implementation will be used even\n * when the browser supports typed arrays.\n *\n * Note:\n *\n *   - Firefox 4-29 lacks support for adding new properties to `Uint8Array` instances,\n *     See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438.\n *\n *   - Chrome 9-10 is missing the `TypedArray.prototype.subarray` function.\n *\n *   - IE10 has a broken `TypedArray.prototype.subarray` function which returns arrays of\n *     incorrect length in some situations.\n\n * We detect these buggy browsers and set `Buffer.TYPED_ARRAY_SUPPORT` to `false` so they\n * get the Object implementation, which is slower but behaves correctly.\n */\nBuffer.TYPED_ARRAY_SUPPORT = global.TYPED_ARRAY_SUPPORT !== undefined\n  ? global.TYPED_ARRAY_SUPPORT\n  : typedArraySupport()\n\n/*\n * Export kMaxLength after typed array support is determined.\n */\nexports.kMaxLength = kMaxLength()\n\nfunction typedArraySupport () {\n  try {\n    var arr = new Uint8Array(1)\n    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}\n    return arr.foo() === 42 && // typed array instances can be augmented\n        typeof arr.subarray === 'function' && // chrome 9-10 lack `subarray`\n        arr.subarray(1, 1).byteLength === 0 // ie10 has broken `subarray`\n  } catch (e) {\n    return false\n  }\n}\n\nfunction kMaxLength () {\n  return Buffer.TYPED_ARRAY_SUPPORT\n    ? 0x7fffffff\n    : 0x3fffffff\n}\n\nfunction createBuffer (that, length) {\n  if (kMaxLength() < length) {\n    throw new RangeError('Invalid typed array length')\n  }\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = new Uint8Array(length)\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    if (that === null) {\n      that = new Buffer(length)\n    }\n    that.length = length\n  }\n\n  return that\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n  if (!Buffer.TYPED_ARRAY_SUPPORT && !(this instanceof Buffer)) {\n    return new Buffer(arg, encodingOrOffset, length)\n  }\n\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new Error(\n        'If encoding is specified then the first argument must be a string'\n      )\n    }\n    return allocUnsafe(this, arg)\n  }\n  return from(this, arg, encodingOrOffset, length)\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\n// TODO: Legacy, not needed anymore. Remove in next major version.\nBuffer._augment = function (arr) {\n  arr.__proto__ = Buffer.prototype\n  return arr\n}\n\nfunction from (that, value, encodingOrOffset, length) {\n  if (typeof value === 'number') {\n    throw new TypeError('\"value\" argument must not be a number')\n  }\n\n  if (typeof ArrayBuffer !== 'undefined' && value instanceof ArrayBuffer) {\n    return fromArrayBuffer(that, value, encodingOrOffset, length)\n  }\n\n  if (typeof value === 'string') {\n    return fromString(that, value, encodingOrOffset)\n  }\n\n  return fromObject(that, value)\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(null, value, encodingOrOffset, length)\n}\n\nif (Buffer.TYPED_ARRAY_SUPPORT) {\n  Buffer.prototype.__proto__ = Uint8Array.prototype\n  Buffer.__proto__ = Uint8Array\n  if (typeof Symbol !== 'undefined' && Symbol.species &&\n      Buffer[Symbol.species] === Buffer) {\n    // Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97\n    Object.defineProperty(Buffer, Symbol.species, {\n      value: null,\n      configurable: true\n    })\n  }\n}\n\nfunction assertSize (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be a number')\n  } else if (size < 0) {\n    throw new RangeError('\"size\" argument must not be negative')\n  }\n}\n\nfunction alloc (that, size, fill, encoding) {\n  assertSize(size)\n  if (size <= 0) {\n    return createBuffer(that, size)\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpretted as a start offset.\n    return typeof encoding === 'string'\n      ? createBuffer(that, size).fill(fill, encoding)\n      : createBuffer(that, size).fill(fill)\n  }\n  return createBuffer(that, size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(null, size, fill, encoding)\n}\n\nfunction allocUnsafe (that, size) {\n  assertSize(size)\n  that = createBuffer(that, size < 0 ? 0 : checked(size) | 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) {\n    for (var i = 0; i < size; ++i) {\n      that[i] = 0\n    }\n  }\n  return that\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(null, size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(null, size)\n}\n\nfunction fromString (that, string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8'\n  }\n\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('\"encoding\" must be a valid string encoding')\n  }\n\n  var length = byteLength(string, encoding) | 0\n  that = createBuffer(that, length)\n\n  var actual = that.write(string, encoding)\n\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    that = that.slice(0, actual)\n  }\n\n  return that\n}\n\nfunction fromArrayLike (that, array) {\n  var length = array.length < 0 ? 0 : checked(array.length) | 0\n  that = createBuffer(that, length)\n  for (var i = 0; i < length; i += 1) {\n    that[i] = array[i] & 255\n  }\n  return that\n}\n\nfunction fromArrayBuffer (that, array, byteOffset, length) {\n  array.byteLength // this throws if `array` is not a valid ArrayBuffer\n\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\\'offset\\' is out of bounds')\n  }\n\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\\'length\\' is out of bounds')\n  }\n\n  if (byteOffset === undefined && length === undefined) {\n    array = new Uint8Array(array)\n  } else if (length === undefined) {\n    array = new Uint8Array(array, byteOffset)\n  } else {\n    array = new Uint8Array(array, byteOffset, length)\n  }\n\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = array\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    that = fromArrayLike(that, array)\n  }\n  return that\n}\n\nfunction fromObject (that, obj) {\n  if (Buffer.isBuffer(obj)) {\n    var len = checked(obj.length) | 0\n    that = createBuffer(that, len)\n\n    if (that.length === 0) {\n      return that\n    }\n\n    obj.copy(that, 0, 0, len)\n    return that\n  }\n\n  if (obj) {\n    if ((typeof ArrayBuffer !== 'undefined' &&\n        obj.buffer instanceof ArrayBuffer) || 'length' in obj) {\n      if (typeof obj.length !== 'number' || isnan(obj.length)) {\n        return createBuffer(that, 0)\n      }\n      return fromArrayLike(that, obj)\n    }\n\n    if (obj.type === 'Buffer' && isArray(obj.data)) {\n      return fromArrayLike(that, obj.data)\n    }\n  }\n\n  throw new TypeError('First argument must be a string, Buffer, ArrayBuffer, Array, or array-like object.')\n}\n\nfunction checked (length) {\n  // Note: cannot use `length < kMaxLength()` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= kMaxLength()) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n                         'size: 0x' + kMaxLength().toString(16) + ' bytes')\n  }\n  return length | 0\n}\n\nfunction SlowBuffer (length) {\n  if (+length != length) { // eslint-disable-line eqeqeq\n    length = 0\n  }\n  return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n  return !!(b != null && b._isBuffer)\n}\n\nBuffer.compare = function compare (a, b) {\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError('Arguments must be Buffers')\n  }\n\n  if (a === b) return 0\n\n  var x = a.length\n  var y = b.length\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i]\n      y = b[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true\n    default:\n      return false\n  }\n}\n\nBuffer.concat = function concat (list, length) {\n  if (!isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers')\n  }\n\n  if (list.length === 0) {\n    return Buffer.alloc(0)\n  }\n\n  var i\n  if (length === undefined) {\n    length = 0\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length\n    }\n  }\n\n  var buffer = Buffer.allocUnsafe(length)\n  var pos = 0\n  for (i = 0; i < list.length; ++i) {\n    var buf = list[i]\n    if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers')\n    }\n    buf.copy(buffer, pos)\n    pos += buf.length\n  }\n  return buffer\n}\n\nfunction byteLength (string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length\n  }\n  if (typeof ArrayBuffer !== 'undefined' && typeof ArrayBuffer.isView === 'function' &&\n      (ArrayBuffer.isView(string) || string instanceof ArrayBuffer)) {\n    return string.byteLength\n  }\n  if (typeof string !== 'string') {\n    string = '' + string\n  }\n\n  var len = string.length\n  if (len === 0) return 0\n\n  // Use a for loop to avoid recursion\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len\n      case 'utf8':\n      case 'utf-8':\n      case undefined:\n        return utf8ToBytes(string).length\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2\n      case 'hex':\n        return len >>> 1\n      case 'base64':\n        return base64ToBytes(string).length\n      default:\n        if (loweredCase) return utf8ToBytes(string).length // assume utf8\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n  var loweredCase = false\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return ''\n  }\n\n  if (end === undefined || end > this.length) {\n    end = this.length\n  }\n\n  if (end <= 0) {\n    return ''\n  }\n\n  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0\n  start >>>= 0\n\n  if (end <= start) {\n    return ''\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end)\n\n      case 'ascii':\n        return asciiSlice(this, start, end)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end)\n\n      case 'base64':\n        return base64Slice(this, start, end)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = (encoding + '').toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\n// The property is used by `Buffer.isBuffer` and `is-buffer` (in Safari 5-7) to detect\n// Buffer instances.\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n  var i = b[n]\n  b[n] = b[m]\n  b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n  var len = this.length\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits')\n  }\n  for (var i = 0; i < len; i += 2) {\n    swap(this, i, i + 1)\n  }\n  return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n  var len = this.length\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits')\n  }\n  for (var i = 0; i < len; i += 4) {\n    swap(this, i, i + 3)\n    swap(this, i + 1, i + 2)\n  }\n  return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n  var len = this.length\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits')\n  }\n  for (var i = 0; i < len; i += 8) {\n    swap(this, i, i + 7)\n    swap(this, i + 1, i + 6)\n    swap(this, i + 2, i + 5)\n    swap(this, i + 3, i + 4)\n  }\n  return this\n}\n\nBuffer.prototype.toString = function toString () {\n  var length = this.length | 0\n  if (length === 0) return ''\n  if (arguments.length === 0) return utf8Slice(this, 0, length)\n  return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.equals = function equals (b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n  if (this === b) return true\n  return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n  var str = ''\n  var max = exports.INSPECT_MAX_BYTES\n  if (this.length > 0) {\n    str = this.toString('hex', 0, max).match(/.{2}/g).join(' ')\n    if (this.length > max) str += ' ... '\n  }\n  return '<Buffer ' + str + '>'\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError('Argument must be a Buffer')\n  }\n\n  if (start === undefined) {\n    start = 0\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0\n  }\n  if (thisStart === undefined) {\n    thisStart = 0\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length\n  }\n\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index')\n  }\n\n  if (thisStart >= thisEnd && start >= end) {\n    return 0\n  }\n  if (thisStart >= thisEnd) {\n    return -1\n  }\n  if (start >= end) {\n    return 1\n  }\n\n  start >>>= 0\n  end >>>= 0\n  thisStart >>>= 0\n  thisEnd >>>= 0\n\n  if (this === target) return 0\n\n  var x = thisEnd - thisStart\n  var y = end - start\n  var len = Math.min(x, y)\n\n  var thisCopy = this.slice(thisStart, thisEnd)\n  var targetCopy = target.slice(start, end)\n\n  for (var i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i]\n      y = targetCopy[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset\n    byteOffset = 0\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000\n  }\n  byteOffset = +byteOffset  // Coerce to Number.\n  if (isNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : (buffer.length - 1)\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1\n    else byteOffset = buffer.length - 1\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0\n    else return -1\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding)\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n  } else if (typeof val === 'number') {\n    val = val & 0xFF // Search for a byte value [0-255]\n    if (Buffer.TYPED_ARRAY_SUPPORT &&\n        typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n      }\n    }\n    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)\n  }\n\n  throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n  var indexSize = 1\n  var arrLength = arr.length\n  var valLength = val.length\n\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase()\n    if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n        encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1\n      }\n      indexSize = 2\n      arrLength /= 2\n      valLength /= 2\n      byteOffset /= 2\n    }\n  }\n\n  function read (buf, i) {\n    if (indexSize === 1) {\n      return buf[i]\n    } else {\n      return buf.readUInt16BE(i * indexSize)\n    }\n  }\n\n  var i\n  if (dir) {\n    var foundIndex = -1\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex\n        foundIndex = -1\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n    for (i = byteOffset; i >= 0; i--) {\n      var found = true\n      for (var j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false\n          break\n        }\n      }\n      if (found) return i\n    }\n  }\n\n  return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n  offset = Number(offset) || 0\n  var remaining = buf.length - offset\n  if (!length) {\n    length = remaining\n  } else {\n    length = Number(length)\n    if (length > remaining) {\n      length = remaining\n    }\n  }\n\n  // must be an even number of digits\n  var strLen = string.length\n  if (strLen % 2 !== 0) throw new TypeError('Invalid hex string')\n\n  if (length > strLen / 2) {\n    length = strLen / 2\n  }\n  for (var i = 0; i < length; ++i) {\n    var parsed = parseInt(string.substr(i * 2, 2), 16)\n    if (isNaN(parsed)) return i\n    buf[offset + i] = parsed\n  }\n  return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction latin1Write (buf, string, offset, length) {\n  return asciiWrite(buf, string, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8'\n    length = this.length\n    offset = 0\n  // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset\n    length = this.length\n    offset = 0\n  // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset | 0\n    if (isFinite(length)) {\n      length = length | 0\n      if (encoding === undefined) encoding = 'utf8'\n    } else {\n      encoding = length\n      length = undefined\n    }\n  // legacy write(string, encoding, offset, length) - remove in v0.13\n  } else {\n    throw new Error(\n      'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n    )\n  }\n\n  var remaining = this.length - offset\n  if (length === undefined || length > remaining) length = remaining\n\n  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds')\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length)\n\n      case 'ascii':\n        return asciiWrite(this, string, offset, length)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Write(this, string, offset, length)\n\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  }\n}\n\nfunction base64Slice (buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf)\n  } else {\n    return base64.fromByteArray(buf.slice(start, end))\n  }\n}\n\nfunction utf8Slice (buf, start, end) {\n  end = Math.min(buf.length, end)\n  var res = []\n\n  var i = start\n  while (i < end) {\n    var firstByte = buf[i]\n    var codePoint = null\n    var bytesPerSequence = (firstByte > 0xEF) ? 4\n      : (firstByte > 0xDF) ? 3\n      : (firstByte > 0xBF) ? 2\n      : 1\n\n    if (i + bytesPerSequence <= end) {\n      var secondByte, thirdByte, fourthByte, tempCodePoint\n\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte\n          }\n          break\n        case 2:\n          secondByte = buf[i + 1]\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 3:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 4:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          fourthByte = buf[i + 3]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint\n            }\n          }\n      }\n    }\n\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD\n      bytesPerSequence = 1\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n      codePoint = 0xDC00 | codePoint & 0x3FF\n    }\n\n    res.push(codePoint)\n    i += bytesPerSequence\n  }\n\n  return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nvar MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n  var len = codePoints.length\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  var res = ''\n  var i = 0\n  while (i < len) {\n    res += String.fromCharCode.apply(\n      String,\n      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n    )\n  }\n  return res\n}\n\nfunction asciiSlice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F)\n  }\n  return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i])\n  }\n  return ret\n}\n\nfunction hexSlice (buf, start, end) {\n  var len = buf.length\n\n  if (!start || start < 0) start = 0\n  if (!end || end < 0 || end > len) end = len\n\n  var out = ''\n  for (var i = start; i < end; ++i) {\n    out += toHex(buf[i])\n  }\n  return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n  var bytes = buf.slice(start, end)\n  var res = ''\n  for (var i = 0; i < bytes.length; i += 2) {\n    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256)\n  }\n  return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n  var len = this.length\n  start = ~~start\n  end = end === undefined ? len : ~~end\n\n  if (start < 0) {\n    start += len\n    if (start < 0) start = 0\n  } else if (start > len) {\n    start = len\n  }\n\n  if (end < 0) {\n    end += len\n    if (end < 0) end = 0\n  } else if (end > len) {\n    end = len\n  }\n\n  if (end < start) end = start\n\n  var newBuf\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    newBuf = this.subarray(start, end)\n    newBuf.__proto__ = Buffer.prototype\n  } else {\n    var sliceLen = end - start\n    newBuf = new Buffer(sliceLen, undefined)\n    for (var i = 0; i < sliceLen; ++i) {\n      newBuf[i] = this[i + start]\n    }\n  }\n\n  return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length)\n  }\n\n  var val = this[offset + --byteLength]\n  var mul = 1\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  return this[offset]\n}\n\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return ((this[offset]) |\n      (this[offset + 1] << 8) |\n      (this[offset + 2] << 16)) +\n      (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] * 0x1000000) +\n    ((this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    this[offset + 3])\n}\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var i = byteLength\n  var mul = 1\n  var val = this[offset + --i]\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  if (!(this[offset] & 0x80)) return (this[offset])\n  return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset] | (this[offset + 1] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset + 1] | (this[offset] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset]) |\n    (this[offset + 1] << 8) |\n    (this[offset + 2] << 16) |\n    (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] << 24) |\n    (this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    (this[offset + 3])\n}\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var mul = 1\n  var i = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nfunction objectWriteUInt16 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 2); i < j; ++i) {\n    buf[offset + i] = (value & (0xff << (8 * (littleEndian ? i : 1 - i)))) >>>\n      (littleEndian ? i : 1 - i) * 8\n  }\n}\n\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nfunction objectWriteUInt32 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffffffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 4); i < j; ++i) {\n    buf[offset + i] = (value >>> (littleEndian ? i : 3 - i) * 8) & 0xff\n  }\n}\n\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset + 3] = (value >>> 24)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 1] = (value >>> 8)\n    this[offset] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = 0\n  var mul = 1\n  var sub = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  var sub = 0\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  if (value < 0) value = 0xff + value + 1\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 3] = (value >>> 24)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (value < 0) value = 0xffffffff + value + 1\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n  if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4)\n  return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8)\n  return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n  if (!start) start = 0\n  if (!end && end !== 0) end = this.length\n  if (targetStart >= target.length) targetStart = target.length\n  if (!targetStart) targetStart = 0\n  if (end > 0 && end < start) end = start\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0\n  if (target.length === 0 || this.length === 0) return 0\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds')\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('sourceStart out of bounds')\n  if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n  // Are we oob?\n  if (end > this.length) end = this.length\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start\n  }\n\n  var len = end - start\n  var i\n\n  if (this === target && start < targetStart && targetStart < end) {\n    // descending copy from end\n    for (i = len - 1; i >= 0; --i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else if (len < 1000 || !Buffer.TYPED_ARRAY_SUPPORT) {\n    // ascending copy from start\n    for (i = 0; i < len; ++i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else {\n    Uint8Array.prototype.set.call(\n      target,\n      this.subarray(start, start + len),\n      targetStart\n    )\n  }\n\n  return len\n}\n\n// Usage:\n//    buffer.fill(number[, offset[, end]])\n//    buffer.fill(buffer[, offset[, end]])\n//    buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill (val, start, end, encoding) {\n  // Handle string cases:\n  if (typeof val === 'string') {\n    if (typeof start === 'string') {\n      encoding = start\n      start = 0\n      end = this.length\n    } else if (typeof end === 'string') {\n      encoding = end\n      end = this.length\n    }\n    if (val.length === 1) {\n      var code = val.charCodeAt(0)\n      if (code < 256) {\n        val = code\n      }\n    }\n    if (encoding !== undefined && typeof encoding !== 'string') {\n      throw new TypeError('encoding must be a string')\n    }\n    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n      throw new TypeError('Unknown encoding: ' + encoding)\n    }\n  } else if (typeof val === 'number') {\n    val = val & 255\n  }\n\n  // Invalid ranges are not set to a default, so can range check early.\n  if (start < 0 || this.length < start || this.length < end) {\n    throw new RangeError('Out of range index')\n  }\n\n  if (end <= start) {\n    return this\n  }\n\n  start = start >>> 0\n  end = end === undefined ? this.length : end >>> 0\n\n  if (!val) val = 0\n\n  var i\n  if (typeof val === 'number') {\n    for (i = start; i < end; ++i) {\n      this[i] = val\n    }\n  } else {\n    var bytes = Buffer.isBuffer(val)\n      ? val\n      : utf8ToBytes(new Buffer(val, encoding).toString())\n    var len = bytes.length\n    for (i = 0; i < end - start; ++i) {\n      this[i + start] = bytes[i % len]\n    }\n  }\n\n  return this\n}\n\n// HELPER FUNCTIONS\n// ================\n\nvar INVALID_BASE64_RE = /[^+\\/0-9A-Za-z-_]/g\n\nfunction base64clean (str) {\n  // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n  str = stringtrim(str).replace(INVALID_BASE64_RE, '')\n  // Node converts strings with length < 2 to ''\n  if (str.length < 2) return ''\n  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n  while (str.length % 4 !== 0) {\n    str = str + '='\n  }\n  return str\n}\n\nfunction stringtrim (str) {\n  if (str.trim) return str.trim()\n  return str.replace(/^\\s+|\\s+$/g, '')\n}\n\nfunction toHex (n) {\n  if (n < 16) return '0' + n.toString(16)\n  return n.toString(16)\n}\n\nfunction utf8ToBytes (string, units) {\n  units = units || Infinity\n  var codePoint\n  var length = string.length\n  var leadSurrogate = null\n  var bytes = []\n\n  for (var i = 0; i < length; ++i) {\n    codePoint = string.charCodeAt(i)\n\n    // is surrogate component\n    if (codePoint > 0xD7FF && codePoint < 0xE000) {\n      // last char was a lead\n      if (!leadSurrogate) {\n        // no lead yet\n        if (codePoint > 0xDBFF) {\n          // unexpected trail\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        } else if (i + 1 === length) {\n          // unpaired lead\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        }\n\n        // valid lead\n        leadSurrogate = codePoint\n\n        continue\n      }\n\n      // 2 leads in a row\n      if (codePoint < 0xDC00) {\n        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n        leadSurrogate = codePoint\n        continue\n      }\n\n      // valid surrogate pair\n      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000\n    } else if (leadSurrogate) {\n      // valid bmp char, but last char was a lead\n      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n    }\n\n    leadSurrogate = null\n\n    // encode utf8\n    if (codePoint < 0x80) {\n      if ((units -= 1) < 0) break\n      bytes.push(codePoint)\n    } else if (codePoint < 0x800) {\n      if ((units -= 2) < 0) break\n      bytes.push(\n        codePoint >> 0x6 | 0xC0,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x10000) {\n      if ((units -= 3) < 0) break\n      bytes.push(\n        codePoint >> 0xC | 0xE0,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x110000) {\n      if ((units -= 4) < 0) break\n      bytes.push(\n        codePoint >> 0x12 | 0xF0,\n        codePoint >> 0xC & 0x3F | 0x80,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else {\n      throw new Error('Invalid code point')\n    }\n  }\n\n  return bytes\n}\n\nfunction asciiToBytes (str) {\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    // Node's code seems to be doing this and not & 0x7F..\n    byteArray.push(str.charCodeAt(i) & 0xFF)\n  }\n  return byteArray\n}\n\nfunction utf16leToBytes (str, units) {\n  var c, hi, lo\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    if ((units -= 2) < 0) break\n\n    c = str.charCodeAt(i)\n    hi = c >> 8\n    lo = c % 256\n    byteArray.push(lo)\n    byteArray.push(hi)\n  }\n\n  return byteArray\n}\n\nfunction base64ToBytes (str) {\n  return base64.toByteArray(base64clean(str))\n}\n\nfunction blitBuffer (src, dst, offset, length) {\n  for (var i = 0; i < length; ++i) {\n    if ((i + offset >= dst.length) || (i >= src.length)) break\n    dst[i + offset] = src[i]\n  }\n  return i\n}\n\nfunction isnan (val) {\n  return val !== val // eslint-disable-line no-self-compare\n}\n","// 7.1.13 ToObject(argument)\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return Object(defined(it));\n};\n","var global = require('./_global');\nvar core = require('./_core');\nvar ctx = require('./_ctx');\nvar hide = require('./_hide');\nvar has = require('./_has');\nvar PROTOTYPE = 'prototype';\n\nvar $export = function (type, name, source) {\n  var IS_FORCED = type & $export.F;\n  var IS_GLOBAL = type & $export.G;\n  var IS_STATIC = type & $export.S;\n  var IS_PROTO = type & $export.P;\n  var IS_BIND = type & $export.B;\n  var IS_WRAP = type & $export.W;\n  var exports = IS_GLOBAL ? core : core[name] || (core[name] = {});\n  var expProto = exports[PROTOTYPE];\n  var target = IS_GLOBAL ? global : IS_STATIC ? global[name] : (global[name] || {})[PROTOTYPE];\n  var key, own, out;\n  if (IS_GLOBAL) source = name;\n  for (key in source) {\n    // contains in native\n    own = !IS_FORCED && target && target[key] !== undefined;\n    if (own && has(exports, key)) continue;\n    // export native or passed\n    out = own ? target[key] : source[key];\n    // prevent global pollution for namespaces\n    exports[key] = IS_GLOBAL && typeof target[key] != 'function' ? source[key]\n    // bind timers to global for call from export context\n    : IS_BIND && own ? ctx(out, global)\n    // wrap global constructors for prevent change them in library\n    : IS_WRAP && target[key] == out ? (function (C) {\n      var F = function (a, b, c) {\n        if (this instanceof C) {\n          switch (arguments.length) {\n            case 0: return new C();\n            case 1: return new C(a);\n            case 2: return new C(a, b);\n          } return new C(a, b, c);\n        } return C.apply(this, arguments);\n      };\n      F[PROTOTYPE] = C[PROTOTYPE];\n      return F;\n    // make static versions for prototype methods\n    })(out) : IS_PROTO && typeof out == 'function' ? ctx(Function.call, out) : out;\n    // export proto methods to core.%CONSTRUCTOR%.methods.%NAME%\n    if (IS_PROTO) {\n      (exports.virtual || (exports.virtual = {}))[key] = out;\n      // export proto methods to core.%CONSTRUCTOR%.prototype.%NAME%\n      if (type & $export.R && expProto && !expProto[key]) hide(expProto, key, out);\n    }\n  }\n};\n// type bitmap\n$export.F = 1;   // forced\n$export.G = 2;   // global\n$export.S = 4;   // static\n$export.P = 8;   // proto\n$export.B = 16;  // bind\n$export.W = 32;  // wrap\n$export.U = 64;  // safe\n$export.R = 128; // real proto method for `library`\nmodule.exports = $export;\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _defineProperty = require(\"../core-js/object/define-property\");\n\nvar _defineProperty2 = _interopRequireDefault(_defineProperty);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function () {\n  function defineProperties(target, props) {\n    for (var i = 0; i < props.length; i++) {\n      var descriptor = props[i];\n      descriptor.enumerable = descriptor.enumerable || false;\n      descriptor.configurable = true;\n      if (\"value\" in descriptor) descriptor.writable = true;\n      (0, _defineProperty2.default)(target, descriptor.key, descriptor);\n    }\n  }\n\n  return function (Constructor, protoProps, staticProps) {\n    if (protoProps) defineProperties(Constructor.prototype, protoProps);\n    if (staticProps) defineProperties(Constructor, staticProps);\n    return Constructor;\n  };\n}();","\"use strict\";\n\nexports.__esModule = true;\n\nexports.default = function (instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n};","var store = require('./_shared')('wks');\nvar uid = require('./_uid');\nvar Symbol = require('./_global').Symbol;\nvar USE_SYMBOL = typeof Symbol == 'function';\n\nvar $exports = module.exports = function (name) {\n  return store[name] || (store[name] =\n    USE_SYMBOL && Symbol[name] || (USE_SYMBOL ? Symbol : uid)('Symbol.' + name));\n};\n\n$exports.store = store;\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _promise = require(\"../core-js/promise\");\n\nvar _promise2 = _interopRequireDefault(_promise);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function (fn) {\n  return function () {\n    var gen = fn.apply(this, arguments);\n    return new _promise2.default(function (resolve, reject) {\n      function step(key, arg) {\n        try {\n          var info = gen[key](arg);\n          var value = info.value;\n        } catch (error) {\n          reject(error);\n          return;\n        }\n\n        if (info.done) {\n          resolve(value);\n        } else {\n          return _promise2.default.resolve(value).then(function (value) {\n            step(\"next\", value);\n          }, function (err) {\n            step(\"throw\", err);\n          });\n        }\n      }\n\n      return step(\"next\");\n    });\n  };\n};","module.exports = require(\"regenerator-runtime\");\n","// https://github.com/zloirock/core-js/issues/86#issuecomment-115759028\nvar global = module.exports = typeof window != 'undefined' && window.Math == Math\n  ? window : typeof self != 'undefined' && self.Math == Math ? self\n  // eslint-disable-next-line no-new-func\n  : Function('return this')();\nif (typeof __g == 'number') __g = global; // eslint-disable-line no-undef\n","module.exports = function (it) {\n  if (typeof it != 'function') throw TypeError(it + ' is not a function!');\n  return it;\n};\n","var g;\r\n\r\n// This works in non-strict mode\r\ng = (function() {\r\n\treturn this;\r\n})();\r\n\r\ntry {\r\n\t// This works if eval is allowed (see CSP)\r\n\tg = g || Function(\"return this\")() || (1, eval)(\"this\");\r\n} catch (e) {\r\n\t// This works if the window reference is available\r\n\tif (typeof window === \"object\") g = window;\r\n}\r\n\r\n// g can still be undefined, but nothing to do about it...\r\n// We return undefined, instead of nothing here, so it's\r\n// easier to handle this case. if(!global) { ...}\r\n\r\nmodule.exports = g;\r\n","'use strict';\n\nvar elliptic = exports;\n\nelliptic.version = require('../package.json').version;\nelliptic.utils = require('./elliptic/utils');\nelliptic.rand = require('brorand');\nelliptic.curve = require('./elliptic/curve');\nelliptic.curves = require('./elliptic/curves');\n\n// Protocols\nelliptic.ec = require('./elliptic/ec');\nelliptic.eddsa = require('./elliptic/eddsa');\n","var $export = require('./_export');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar quot = /\"/g;\n// B.2.3.2.1 CreateHTML(string, tag, attribute, value)\nvar createHTML = function (string, tag, attribute, value) {\n  var S = String(defined(string));\n  var p1 = '<' + tag;\n  if (attribute !== '') p1 += ' ' + attribute + '=\"' + String(value).replace(quot, '&quot;') + '\"';\n  return p1 + '>' + S + '</' + tag + '>';\n};\nmodule.exports = function (NAME, exec) {\n  var O = {};\n  O[NAME] = exec(createHTML);\n  $export($export.P + $export.F * fails(function () {\n    var test = ''[NAME]('\"');\n    return test !== test.toLowerCase() || test.split('\"').length > 3;\n  }), 'String', O);\n};\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar has = require('./_has');\nvar SRC = require('./_uid')('src');\nvar TO_STRING = 'toString';\nvar $toString = Function[TO_STRING];\nvar TPL = ('' + $toString).split(TO_STRING);\n\nrequire('./_core').inspectSource = function (it) {\n  return $toString.call(it);\n};\n\n(module.exports = function (O, key, val, safe) {\n  var isFunction = typeof val == 'function';\n  if (isFunction) has(val, 'name') || hide(val, 'name', key);\n  if (O[key] === val) return;\n  if (isFunction) has(val, SRC) || hide(val, SRC, O[key] ? '' + O[key] : TPL.join(String(key)));\n  if (O === global) {\n    O[key] = val;\n  } else if (!safe) {\n    delete O[key];\n    hide(O, key, val);\n  } else if (O[key]) {\n    O[key] = val;\n  } else {\n    hide(O, key, val);\n  }\n// add fake Function#toString for correct work wrapped methods / constructors with methods like LoDash isNative\n})(Function.prototype, TO_STRING, function toString() {\n  return typeof this == 'function' && this[SRC] || $toString.call(this);\n});\n","var dP = require('./_object-dp');\nvar createDesc = require('./_property-desc');\nmodule.exports = require('./_descriptors') ? function (object, key, value) {\n  return dP.f(object, key, createDesc(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n","module.exports = assert;\n\nfunction assert(val, msg) {\n  if (!val)\n    throw new Error(msg || 'Assertion failed');\n}\n\nassert.equal = function assertEqual(l, r, msg) {\n  if (l != r)\n    throw new Error(msg || ('Assertion failed: ' + l + ' != ' + r));\n};\n","// 19.1.2.9 / 15.2.3.2 Object.getPrototypeOf(O)\nvar has = require('./_has');\nvar toObject = require('./_to-object');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar ObjectProto = Object.prototype;\n\nmodule.exports = Object.getPrototypeOf || function (O) {\n  O = toObject(O);\n  if (has(O, IE_PROTO)) return O[IE_PROTO];\n  if (typeof O.constructor == 'function' && O instanceof O.constructor) {\n    return O.constructor.prototype;\n  } return O instanceof Object ? ObjectProto : null;\n};\n","var pIE = require('./_object-pie');\nvar createDesc = require('./_property-desc');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar has = require('./_has');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar gOPD = Object.getOwnPropertyDescriptor;\n\nexports.f = require('./_descriptors') ? gOPD : function getOwnPropertyDescriptor(O, P) {\n  O = toIObject(O);\n  P = toPrimitive(P, true);\n  if (IE8_DOM_DEFINE) try {\n    return gOPD(O, P);\n  } catch (e) { /* empty */ }\n  if (has(O, P)) return createDesc(!pIE.f.call(O, P), O[P]);\n};\n","// to indexed object, toObject with fallback for non-array-like ES3 strings\nvar IObject = require('./_iobject');\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return IObject(defined(it));\n};\n","var hasOwnProperty = {}.hasOwnProperty;\nmodule.exports = function (it, key) {\n  return hasOwnProperty.call(it, key);\n};\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _iterator = require(\"../core-js/symbol/iterator\");\n\nvar _iterator2 = _interopRequireDefault(_iterator);\n\nvar _symbol = require(\"../core-js/symbol\");\n\nvar _symbol2 = _interopRequireDefault(_symbol);\n\nvar _typeof = typeof _symbol2.default === \"function\" && typeof _iterator2.default === \"symbol\" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof _symbol2.default === \"function\" && obj.constructor === _symbol2.default && obj !== _symbol2.default.prototype ? \"symbol\" : typeof obj; };\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = typeof _symbol2.default === \"function\" && _typeof(_iterator2.default) === \"symbol\" ? function (obj) {\n  return typeof obj === \"undefined\" ? \"undefined\" : _typeof(obj);\n} : function (obj) {\n  return obj && typeof _symbol2.default === \"function\" && obj.constructor === _symbol2.default && obj !== _symbol2.default.prototype ? \"symbol\" : typeof obj === \"undefined\" ? \"undefined\" : _typeof(obj);\n};","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nexport default function callCallback(promise, callback) {\n  if (callback) {\n    promise\n      .then((result) => {\n        callback(undefined, result);\n        return result;\n      })\n      .catch((error) => {\n        callback(error);\n        return error;\n      });\n  }\n  return promise;\n}\n","module.exports = function (it) {\n  return typeof it === 'object' ? it !== null : typeof it === 'function';\n};\n","var anObject = require('./_an-object');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar toPrimitive = require('./_to-primitive');\nvar dP = Object.defineProperty;\n\nexports.f = require('./_descriptors') ? Object.defineProperty : function defineProperty(O, P, Attributes) {\n  anObject(O);\n  P = toPrimitive(P, true);\n  anObject(Attributes);\n  if (IE8_DOM_DEFINE) try {\n    return dP(O, P, Attributes);\n  } catch (e) { /* empty */ }\n  if ('get' in Attributes || 'set' in Attributes) throw TypeError('Accessors not supported!');\n  if ('value' in Attributes) O[P] = Attributes.value;\n  return O;\n};\n","'use strict';\nvar fails = require('./_fails');\n\nmodule.exports = function (method, arg) {\n  return !!method && fails(function () {\n    // eslint-disable-next-line no-useless-call\n    arg ? method.call(null, function () { /* empty */ }, 1) : method.call(null);\n  });\n};\n","// 7.1.4 ToInteger\nvar ceil = Math.ceil;\nvar floor = Math.floor;\nmodule.exports = function (it) {\n  return isNaN(it = +it) ? 0 : (it > 0 ? floor : ceil)(it);\n};\n","var toString = {}.toString;\n\nmodule.exports = function (it) {\n  return toString.call(it).slice(8, -1);\n};\n","// optional / simple context binding\nvar aFunction = require('./_a-function');\nmodule.exports = function (fn, that, length) {\n  aFunction(fn);\n  if (that === undefined) return fn;\n  switch (length) {\n    case 1: return function (a) {\n      return fn.call(that, a);\n    };\n    case 2: return function (a, b) {\n      return fn.call(that, a, b);\n    };\n    case 3: return function (a, b, c) {\n      return fn.call(that, a, b, c);\n    };\n  }\n  return function (/* ...args */) {\n    return fn.apply(that, arguments);\n  };\n};\n","var core = module.exports = { version: '2.6.3' };\nif (typeof __e == 'number') __e = core; // eslint-disable-line no-undef\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nexports.inherits = inherits;\n\nfunction isSurrogatePair(msg, i) {\n  if ((msg.charCodeAt(i) & 0xFC00) !== 0xD800) {\n    return false;\n  }\n  if (i < 0 || i + 1 >= msg.length) {\n    return false;\n  }\n  return (msg.charCodeAt(i + 1) & 0xFC00) === 0xDC00;\n}\n\nfunction toArray(msg, enc) {\n  if (Array.isArray(msg))\n    return msg.slice();\n  if (!msg)\n    return [];\n  var res = [];\n  if (typeof msg === 'string') {\n    if (!enc) {\n      // Inspired by stringToUtf8ByteArray() in closure-library by Google\n      // https://github.com/google/closure-library/blob/8598d87242af59aac233270742c8984e2b2bdbe0/closure/goog/crypt/crypt.js#L117-L143\n      // Apache License 2.0\n      // https://github.com/google/closure-library/blob/master/LICENSE\n      var p = 0;\n      for (var i = 0; i < msg.length; i++) {\n        var c = msg.charCodeAt(i);\n        if (c < 128) {\n          res[p++] = c;\n        } else if (c < 2048) {\n          res[p++] = (c >> 6) | 192;\n          res[p++] = (c & 63) | 128;\n        } else if (isSurrogatePair(msg, i)) {\n          c = 0x10000 + ((c & 0x03FF) << 10) + (msg.charCodeAt(++i) & 0x03FF);\n          res[p++] = (c >> 18) | 240;\n          res[p++] = ((c >> 12) & 63) | 128;\n          res[p++] = ((c >> 6) & 63) | 128;\n          res[p++] = (c & 63) | 128;\n        } else {\n          res[p++] = (c >> 12) | 224;\n          res[p++] = ((c >> 6) & 63) | 128;\n          res[p++] = (c & 63) | 128;\n        }\n      }\n    } else if (enc === 'hex') {\n      msg = msg.replace(/[^a-z0-9]+/ig, '');\n      if (msg.length % 2 !== 0)\n        msg = '0' + msg;\n      for (i = 0; i < msg.length; i += 2)\n        res.push(parseInt(msg[i] + msg[i + 1], 16));\n    }\n  } else {\n    for (i = 0; i < msg.length; i++)\n      res[i] = msg[i] | 0;\n  }\n  return res;\n}\nexports.toArray = toArray;\n\nfunction toHex(msg) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++)\n    res += zero2(msg[i].toString(16));\n  return res;\n}\nexports.toHex = toHex;\n\nfunction htonl(w) {\n  var res = (w >>> 24) |\n            ((w >>> 8) & 0xff00) |\n            ((w << 8) & 0xff0000) |\n            ((w & 0xff) << 24);\n  return res >>> 0;\n}\nexports.htonl = htonl;\n\nfunction toHex32(msg, endian) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++) {\n    var w = msg[i];\n    if (endian === 'little')\n      w = htonl(w);\n    res += zero8(w.toString(16));\n  }\n  return res;\n}\nexports.toHex32 = toHex32;\n\nfunction zero2(word) {\n  if (word.length === 1)\n    return '0' + word;\n  else\n    return word;\n}\nexports.zero2 = zero2;\n\nfunction zero8(word) {\n  if (word.length === 7)\n    return '0' + word;\n  else if (word.length === 6)\n    return '00' + word;\n  else if (word.length === 5)\n    return '000' + word;\n  else if (word.length === 4)\n    return '0000' + word;\n  else if (word.length === 3)\n    return '00000' + word;\n  else if (word.length === 2)\n    return '000000' + word;\n  else if (word.length === 1)\n    return '0000000' + word;\n  else\n    return word;\n}\nexports.zero8 = zero8;\n\nfunction join32(msg, start, end, endian) {\n  var len = end - start;\n  assert(len % 4 === 0);\n  var res = new Array(len / 4);\n  for (var i = 0, k = start; i < res.length; i++, k += 4) {\n    var w;\n    if (endian === 'big')\n      w = (msg[k] << 24) | (msg[k + 1] << 16) | (msg[k + 2] << 8) | msg[k + 3];\n    else\n      w = (msg[k + 3] << 24) | (msg[k + 2] << 16) | (msg[k + 1] << 8) | msg[k];\n    res[i] = w >>> 0;\n  }\n  return res;\n}\nexports.join32 = join32;\n\nfunction split32(msg, endian) {\n  var res = new Array(msg.length * 4);\n  for (var i = 0, k = 0; i < msg.length; i++, k += 4) {\n    var m = msg[i];\n    if (endian === 'big') {\n      res[k] = m >>> 24;\n      res[k + 1] = (m >>> 16) & 0xff;\n      res[k + 2] = (m >>> 8) & 0xff;\n      res[k + 3] = m & 0xff;\n    } else {\n      res[k + 3] = m >>> 24;\n      res[k + 2] = (m >>> 16) & 0xff;\n      res[k + 1] = (m >>> 8) & 0xff;\n      res[k] = m & 0xff;\n    }\n  }\n  return res;\n}\nexports.split32 = split32;\n\nfunction rotr32(w, b) {\n  return (w >>> b) | (w << (32 - b));\n}\nexports.rotr32 = rotr32;\n\nfunction rotl32(w, b) {\n  return (w << b) | (w >>> (32 - b));\n}\nexports.rotl32 = rotl32;\n\nfunction sum32(a, b) {\n  return (a + b) >>> 0;\n}\nexports.sum32 = sum32;\n\nfunction sum32_3(a, b, c) {\n  return (a + b + c) >>> 0;\n}\nexports.sum32_3 = sum32_3;\n\nfunction sum32_4(a, b, c, d) {\n  return (a + b + c + d) >>> 0;\n}\nexports.sum32_4 = sum32_4;\n\nfunction sum32_5(a, b, c, d, e) {\n  return (a + b + c + d + e) >>> 0;\n}\nexports.sum32_5 = sum32_5;\n\nfunction sum64(buf, pos, ah, al) {\n  var bh = buf[pos];\n  var bl = buf[pos + 1];\n\n  var lo = (al + bl) >>> 0;\n  var hi = (lo < al ? 1 : 0) + ah + bh;\n  buf[pos] = hi >>> 0;\n  buf[pos + 1] = lo;\n}\nexports.sum64 = sum64;\n\nfunction sum64_hi(ah, al, bh, bl) {\n  var lo = (al + bl) >>> 0;\n  var hi = (lo < al ? 1 : 0) + ah + bh;\n  return hi >>> 0;\n}\nexports.sum64_hi = sum64_hi;\n\nfunction sum64_lo(ah, al, bh, bl) {\n  var lo = al + bl;\n  return lo >>> 0;\n}\nexports.sum64_lo = sum64_lo;\n\nfunction sum64_4_hi(ah, al, bh, bl, ch, cl, dh, dl) {\n  var carry = 0;\n  var lo = al;\n  lo = (lo + bl) >>> 0;\n  carry += lo < al ? 1 : 0;\n  lo = (lo + cl) >>> 0;\n  carry += lo < cl ? 1 : 0;\n  lo = (lo + dl) >>> 0;\n  carry += lo < dl ? 1 : 0;\n\n  var hi = ah + bh + ch + dh + carry;\n  return hi >>> 0;\n}\nexports.sum64_4_hi = sum64_4_hi;\n\nfunction sum64_4_lo(ah, al, bh, bl, ch, cl, dh, dl) {\n  var lo = al + bl + cl + dl;\n  return lo >>> 0;\n}\nexports.sum64_4_lo = sum64_4_lo;\n\nfunction sum64_5_hi(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {\n  var carry = 0;\n  var lo = al;\n  lo = (lo + bl) >>> 0;\n  carry += lo < al ? 1 : 0;\n  lo = (lo + cl) >>> 0;\n  carry += lo < cl ? 1 : 0;\n  lo = (lo + dl) >>> 0;\n  carry += lo < dl ? 1 : 0;\n  lo = (lo + el) >>> 0;\n  carry += lo < el ? 1 : 0;\n\n  var hi = ah + bh + ch + dh + eh + carry;\n  return hi >>> 0;\n}\nexports.sum64_5_hi = sum64_5_hi;\n\nfunction sum64_5_lo(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {\n  var lo = al + bl + cl + dl + el;\n\n  return lo >>> 0;\n}\nexports.sum64_5_lo = sum64_5_lo;\n\nfunction rotr64_hi(ah, al, num) {\n  var r = (al << (32 - num)) | (ah >>> num);\n  return r >>> 0;\n}\nexports.rotr64_hi = rotr64_hi;\n\nfunction rotr64_lo(ah, al, num) {\n  var r = (ah << (32 - num)) | (al >>> num);\n  return r >>> 0;\n}\nexports.rotr64_lo = rotr64_lo;\n\nfunction shr64_hi(ah, al, num) {\n  return ah >>> num;\n}\nexports.shr64_hi = shr64_hi;\n\nfunction shr64_lo(ah, al, num) {\n  var r = (ah << (32 - num)) | (al >>> num);\n  return r >>> 0;\n}\nexports.shr64_lo = shr64_lo;\n","// shim for using process in browser\nvar process = module.exports = {};\n\n// cached from whatever global is present so that test runners that stub it\n// don't break things.  But we need to wrap it in a try catch in case it is\n// wrapped in strict mode code which doesn't define any globals.  It's inside a\n// function because try/catches deoptimize in certain engines.\n\nvar cachedSetTimeout;\nvar cachedClearTimeout;\n\nfunction defaultSetTimout() {\n    throw new Error('setTimeout has not been defined');\n}\nfunction defaultClearTimeout () {\n    throw new Error('clearTimeout has not been defined');\n}\n(function () {\n    try {\n        if (typeof setTimeout === 'function') {\n            cachedSetTimeout = setTimeout;\n        } else {\n            cachedSetTimeout = defaultSetTimout;\n        }\n    } catch (e) {\n        cachedSetTimeout = defaultSetTimout;\n    }\n    try {\n        if (typeof clearTimeout === 'function') {\n            cachedClearTimeout = clearTimeout;\n        } else {\n            cachedClearTimeout = defaultClearTimeout;\n        }\n    } catch (e) {\n        cachedClearTimeout = defaultClearTimeout;\n    }\n} ())\nfunction runTimeout(fun) {\n    if (cachedSetTimeout === setTimeout) {\n        //normal enviroments in sane situations\n        return setTimeout(fun, 0);\n    }\n    // if setTimeout wasn't available but was latter defined\n    if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {\n        cachedSetTimeout = setTimeout;\n        return setTimeout(fun, 0);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedSetTimeout(fun, 0);\n    } catch(e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally\n            return cachedSetTimeout.call(null, fun, 0);\n        } catch(e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error\n            return cachedSetTimeout.call(this, fun, 0);\n        }\n    }\n\n\n}\nfunction runClearTimeout(marker) {\n    if (cachedClearTimeout === clearTimeout) {\n        //normal enviroments in sane situations\n        return clearTimeout(marker);\n    }\n    // if clearTimeout wasn't available but was latter defined\n    if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {\n        cachedClearTimeout = clearTimeout;\n        return clearTimeout(marker);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedClearTimeout(marker);\n    } catch (e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally\n            return cachedClearTimeout.call(null, marker);\n        } catch (e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.\n            // Some versions of I.E. have different rules for clearTimeout vs setTimeout\n            return cachedClearTimeout.call(this, marker);\n        }\n    }\n\n\n\n}\nvar queue = [];\nvar draining = false;\nvar currentQueue;\nvar queueIndex = -1;\n\nfunction cleanUpNextTick() {\n    if (!draining || !currentQueue) {\n        return;\n    }\n    draining = false;\n    if (currentQueue.length) {\n        queue = currentQueue.concat(queue);\n    } else {\n        queueIndex = -1;\n    }\n    if (queue.length) {\n        drainQueue();\n    }\n}\n\nfunction drainQueue() {\n    if (draining) {\n        return;\n    }\n    var timeout = runTimeout(cleanUpNextTick);\n    draining = true;\n\n    var len = queue.length;\n    while(len) {\n        currentQueue = queue;\n        queue = [];\n        while (++queueIndex < len) {\n            if (currentQueue) {\n                currentQueue[queueIndex].run();\n            }\n        }\n        queueIndex = -1;\n        len = queue.length;\n    }\n    currentQueue = null;\n    draining = false;\n    runClearTimeout(timeout);\n}\n\nprocess.nextTick = function (fun) {\n    var args = new Array(arguments.length - 1);\n    if (arguments.length > 1) {\n        for (var i = 1; i < arguments.length; i++) {\n            args[i - 1] = arguments[i];\n        }\n    }\n    queue.push(new Item(fun, args));\n    if (queue.length === 1 && !draining) {\n        runTimeout(drainQueue);\n    }\n};\n\n// v8 likes predictible objects\nfunction Item(fun, array) {\n    this.fun = fun;\n    this.array = array;\n}\nItem.prototype.run = function () {\n    this.fun.apply(null, this.array);\n};\nprocess.title = 'browser';\nprocess.browser = true;\nprocess.env = {};\nprocess.argv = [];\nprocess.version = ''; // empty string to avoid regexp issues\nprocess.versions = {};\n\nfunction noop() {}\n\nprocess.on = noop;\nprocess.addListener = noop;\nprocess.once = noop;\nprocess.off = noop;\nprocess.removeListener = noop;\nprocess.removeAllListeners = noop;\nprocess.emit = noop;\nprocess.prependListener = noop;\nprocess.prependOnceListener = noop;\n\nprocess.listeners = function (name) { return [] }\n\nprocess.binding = function (name) {\n    throw new Error('process.binding is not supported');\n};\n\nprocess.cwd = function () { return '/' };\nprocess.chdir = function (dir) {\n    throw new Error('process.chdir is not supported');\n};\nprocess.umask = function() { return 0; };\n","// Thank's IE8 for his funny defineProperty\nmodule.exports = !require('./_fails')(function () {\n  return Object.defineProperty({}, 'a', { get: function () { return 7; } }).a != 7;\n});\n","var isObject = require('./_is-object');\nmodule.exports = function (it) {\n  if (!isObject(it)) throw TypeError(it + ' is not an object!');\n  return it;\n};\n","// 0 -> Array#forEach\n// 1 -> Array#map\n// 2 -> Array#filter\n// 3 -> Array#some\n// 4 -> Array#every\n// 5 -> Array#find\n// 6 -> Array#findIndex\nvar ctx = require('./_ctx');\nvar IObject = require('./_iobject');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar asc = require('./_array-species-create');\nmodule.exports = function (TYPE, $create) {\n  var IS_MAP = TYPE == 1;\n  var IS_FILTER = TYPE == 2;\n  var IS_SOME = TYPE == 3;\n  var IS_EVERY = TYPE == 4;\n  var IS_FIND_INDEX = TYPE == 6;\n  var NO_HOLES = TYPE == 5 || IS_FIND_INDEX;\n  var create = $create || asc;\n  return function ($this, callbackfn, that) {\n    var O = toObject($this);\n    var self = IObject(O);\n    var f = ctx(callbackfn, that, 3);\n    var length = toLength(self.length);\n    var index = 0;\n    var result = IS_MAP ? create($this, length) : IS_FILTER ? create($this, 0) : undefined;\n    var val, res;\n    for (;length > index; index++) if (NO_HOLES || index in self) {\n      val = self[index];\n      res = f(val, index, O);\n      if (TYPE) {\n        if (IS_MAP) result[index] = res;   // map\n        else if (res) switch (TYPE) {\n          case 3: return true;             // some\n          case 5: return val;              // find\n          case 6: return index;            // findIndex\n          case 2: result.push(val);        // filter\n        } else if (IS_EVERY) return false; // every\n      }\n    }\n    return IS_FIND_INDEX ? -1 : IS_SOME || IS_EVERY ? IS_EVERY : result;\n  };\n};\n","// most Object methods by ES6 should accept primitives\nvar $export = require('./_export');\nvar core = require('./_core');\nvar fails = require('./_fails');\nmodule.exports = function (KEY, exec) {\n  var fn = (core.Object || {})[KEY] || Object[KEY];\n  var exp = {};\n  exp[KEY] = exec(fn);\n  $export($export.S + $export.F * fails(function () { fn(1); }), 'Object', exp);\n};\n","// 7.2.1 RequireObjectCoercible(argument)\nmodule.exports = function (it) {\n  if (it == undefined) throw TypeError(\"Can't call method on  \" + it);\n  return it;\n};\n","// 7.1.1 ToPrimitive(input [, PreferredType])\nvar isObject = require('./_is-object');\n// instead of the ES6 spec version, we didn't implement @@toPrimitive case\n// and the second argument - flag - preferred type is a string\nmodule.exports = function (it, S) {\n  if (!isObject(it)) return it;\n  var fn, val;\n  if (S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (typeof (fn = it.valueOf) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (!S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  throw TypeError(\"Can't convert object to primitive value\");\n};\n","// optional / simple context binding\nvar aFunction = require('./_a-function');\nmodule.exports = function (fn, that, length) {\n  aFunction(fn);\n  if (that === undefined) return fn;\n  switch (length) {\n    case 1: return function (a) {\n      return fn.call(that, a);\n    };\n    case 2: return function (a, b) {\n      return fn.call(that, a, b);\n    };\n    case 3: return function (a, b, c) {\n      return fn.call(that, a, b, c);\n    };\n  }\n  return function (/* ...args */) {\n    return fn.apply(that, arguments);\n  };\n};\n","var Map = require('./es6.map');\nvar $export = require('./_export');\nvar shared = require('./_shared')('metadata');\nvar store = shared.store || (shared.store = new (require('./es6.weak-map'))());\n\nvar getOrCreateMetadataMap = function (target, targetKey, create) {\n  var targetMetadata = store.get(target);\n  if (!targetMetadata) {\n    if (!create) return undefined;\n    store.set(target, targetMetadata = new Map());\n  }\n  var keyMetadata = targetMetadata.get(targetKey);\n  if (!keyMetadata) {\n    if (!create) return undefined;\n    targetMetadata.set(targetKey, keyMetadata = new Map());\n  } return keyMetadata;\n};\nvar ordinaryHasOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? false : metadataMap.has(MetadataKey);\n};\nvar ordinaryGetOwnMetadata = function (MetadataKey, O, P) {\n  var metadataMap = getOrCreateMetadataMap(O, P, false);\n  return metadataMap === undefined ? undefined : metadataMap.get(MetadataKey);\n};\nvar ordinaryDefineOwnMetadata = function (MetadataKey, MetadataValue, O, P) {\n  getOrCreateMetadataMap(O, P, true).set(MetadataKey, MetadataValue);\n};\nvar ordinaryOwnMetadataKeys = function (target, targetKey) {\n  var metadataMap = getOrCreateMetadataMap(target, targetKey, false);\n  var keys = [];\n  if (metadataMap) metadataMap.forEach(function (_, key) { keys.push(key); });\n  return keys;\n};\nvar toMetaKey = function (it) {\n  return it === undefined || typeof it == 'symbol' ? it : String(it);\n};\nvar exp = function (O) {\n  $export($export.S, 'Reflect', O);\n};\n\nmodule.exports = {\n  store: store,\n  map: getOrCreateMetadataMap,\n  has: ordinaryHasOwnMetadata,\n  get: ordinaryGetOwnMetadata,\n  set: ordinaryDefineOwnMetadata,\n  keys: ordinaryOwnMetadataKeys,\n  key: toMetaKey,\n  exp: exp\n};\n","'use strict';\nif (require('./_descriptors')) {\n  var LIBRARY = require('./_library');\n  var global = require('./_global');\n  var fails = require('./_fails');\n  var $export = require('./_export');\n  var $typed = require('./_typed');\n  var $buffer = require('./_typed-buffer');\n  var ctx = require('./_ctx');\n  var anInstance = require('./_an-instance');\n  var propertyDesc = require('./_property-desc');\n  var hide = require('./_hide');\n  var redefineAll = require('./_redefine-all');\n  var toInteger = require('./_to-integer');\n  var toLength = require('./_to-length');\n  var toIndex = require('./_to-index');\n  var toAbsoluteIndex = require('./_to-absolute-index');\n  var toPrimitive = require('./_to-primitive');\n  var has = require('./_has');\n  var classof = require('./_classof');\n  var isObject = require('./_is-object');\n  var toObject = require('./_to-object');\n  var isArrayIter = require('./_is-array-iter');\n  var create = require('./_object-create');\n  var getPrototypeOf = require('./_object-gpo');\n  var gOPN = require('./_object-gopn').f;\n  var getIterFn = require('./core.get-iterator-method');\n  var uid = require('./_uid');\n  var wks = require('./_wks');\n  var createArrayMethod = require('./_array-methods');\n  var createArrayIncludes = require('./_array-includes');\n  var speciesConstructor = require('./_species-constructor');\n  var ArrayIterators = require('./es6.array.iterator');\n  var Iterators = require('./_iterators');\n  var $iterDetect = require('./_iter-detect');\n  var setSpecies = require('./_set-species');\n  var arrayFill = require('./_array-fill');\n  var arrayCopyWithin = require('./_array-copy-within');\n  var $DP = require('./_object-dp');\n  var $GOPD = require('./_object-gopd');\n  var dP = $DP.f;\n  var gOPD = $GOPD.f;\n  var RangeError = global.RangeError;\n  var TypeError = global.TypeError;\n  var Uint8Array = global.Uint8Array;\n  var ARRAY_BUFFER = 'ArrayBuffer';\n  var SHARED_BUFFER = 'Shared' + ARRAY_BUFFER;\n  var BYTES_PER_ELEMENT = 'BYTES_PER_ELEMENT';\n  var PROTOTYPE = 'prototype';\n  var ArrayProto = Array[PROTOTYPE];\n  var $ArrayBuffer = $buffer.ArrayBuffer;\n  var $DataView = $buffer.DataView;\n  var arrayForEach = createArrayMethod(0);\n  var arrayFilter = createArrayMethod(2);\n  var arraySome = createArrayMethod(3);\n  var arrayEvery = createArrayMethod(4);\n  var arrayFind = createArrayMethod(5);\n  var arrayFindIndex = createArrayMethod(6);\n  var arrayIncludes = createArrayIncludes(true);\n  var arrayIndexOf = createArrayIncludes(false);\n  var arrayValues = ArrayIterators.values;\n  var arrayKeys = ArrayIterators.keys;\n  var arrayEntries = ArrayIterators.entries;\n  var arrayLastIndexOf = ArrayProto.lastIndexOf;\n  var arrayReduce = ArrayProto.reduce;\n  var arrayReduceRight = ArrayProto.reduceRight;\n  var arrayJoin = ArrayProto.join;\n  var arraySort = ArrayProto.sort;\n  var arraySlice = ArrayProto.slice;\n  var arrayToString = ArrayProto.toString;\n  var arrayToLocaleString = ArrayProto.toLocaleString;\n  var ITERATOR = wks('iterator');\n  var TAG = wks('toStringTag');\n  var TYPED_CONSTRUCTOR = uid('typed_constructor');\n  var DEF_CONSTRUCTOR = uid('def_constructor');\n  var ALL_CONSTRUCTORS = $typed.CONSTR;\n  var TYPED_ARRAY = $typed.TYPED;\n  var VIEW = $typed.VIEW;\n  var WRONG_LENGTH = 'Wrong length!';\n\n  var $map = createArrayMethod(1, function (O, length) {\n    return allocate(speciesConstructor(O, O[DEF_CONSTRUCTOR]), length);\n  });\n\n  var LITTLE_ENDIAN = fails(function () {\n    // eslint-disable-next-line no-undef\n    return new Uint8Array(new Uint16Array([1]).buffer)[0] === 1;\n  });\n\n  var FORCED_SET = !!Uint8Array && !!Uint8Array[PROTOTYPE].set && fails(function () {\n    new Uint8Array(1).set({});\n  });\n\n  var toOffset = function (it, BYTES) {\n    var offset = toInteger(it);\n    if (offset < 0 || offset % BYTES) throw RangeError('Wrong offset!');\n    return offset;\n  };\n\n  var validate = function (it) {\n    if (isObject(it) && TYPED_ARRAY in it) return it;\n    throw TypeError(it + ' is not a typed array!');\n  };\n\n  var allocate = function (C, length) {\n    if (!(isObject(C) && TYPED_CONSTRUCTOR in C)) {\n      throw TypeError('It is not a typed array constructor!');\n    } return new C(length);\n  };\n\n  var speciesFromList = function (O, list) {\n    return fromList(speciesConstructor(O, O[DEF_CONSTRUCTOR]), list);\n  };\n\n  var fromList = function (C, list) {\n    var index = 0;\n    var length = list.length;\n    var result = allocate(C, length);\n    while (length > index) result[index] = list[index++];\n    return result;\n  };\n\n  var addGetter = function (it, key, internal) {\n    dP(it, key, { get: function () { return this._d[internal]; } });\n  };\n\n  var $from = function from(source /* , mapfn, thisArg */) {\n    var O = toObject(source);\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var iterFn = getIterFn(O);\n    var i, length, values, result, step, iterator;\n    if (iterFn != undefined && !isArrayIter(iterFn)) {\n      for (iterator = iterFn.call(O), values = [], i = 0; !(step = iterator.next()).done; i++) {\n        values.push(step.value);\n      } O = values;\n    }\n    if (mapping && aLen > 2) mapfn = ctx(mapfn, arguments[2], 2);\n    for (i = 0, length = toLength(O.length), result = allocate(this, length); length > i; i++) {\n      result[i] = mapping ? mapfn(O[i], i) : O[i];\n    }\n    return result;\n  };\n\n  var $of = function of(/* ...items */) {\n    var index = 0;\n    var length = arguments.length;\n    var result = allocate(this, length);\n    while (length > index) result[index] = arguments[index++];\n    return result;\n  };\n\n  // iOS Safari 6.x fails here\n  var TO_LOCALE_BUG = !!Uint8Array && fails(function () { arrayToLocaleString.call(new Uint8Array(1)); });\n\n  var $toLocaleString = function toLocaleString() {\n    return arrayToLocaleString.apply(TO_LOCALE_BUG ? arraySlice.call(validate(this)) : validate(this), arguments);\n  };\n\n  var proto = {\n    copyWithin: function copyWithin(target, start /* , end */) {\n      return arrayCopyWithin.call(validate(this), target, start, arguments.length > 2 ? arguments[2] : undefined);\n    },\n    every: function every(callbackfn /* , thisArg */) {\n      return arrayEvery(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    fill: function fill(value /* , start, end */) { // eslint-disable-line no-unused-vars\n      return arrayFill.apply(validate(this), arguments);\n    },\n    filter: function filter(callbackfn /* , thisArg */) {\n      return speciesFromList(this, arrayFilter(validate(this), callbackfn,\n        arguments.length > 1 ? arguments[1] : undefined));\n    },\n    find: function find(predicate /* , thisArg */) {\n      return arrayFind(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    findIndex: function findIndex(predicate /* , thisArg */) {\n      return arrayFindIndex(validate(this), predicate, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    forEach: function forEach(callbackfn /* , thisArg */) {\n      arrayForEach(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    indexOf: function indexOf(searchElement /* , fromIndex */) {\n      return arrayIndexOf(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    includes: function includes(searchElement /* , fromIndex */) {\n      return arrayIncludes(validate(this), searchElement, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    join: function join(separator) { // eslint-disable-line no-unused-vars\n      return arrayJoin.apply(validate(this), arguments);\n    },\n    lastIndexOf: function lastIndexOf(searchElement /* , fromIndex */) { // eslint-disable-line no-unused-vars\n      return arrayLastIndexOf.apply(validate(this), arguments);\n    },\n    map: function map(mapfn /* , thisArg */) {\n      return $map(validate(this), mapfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    reduce: function reduce(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduce.apply(validate(this), arguments);\n    },\n    reduceRight: function reduceRight(callbackfn /* , initialValue */) { // eslint-disable-line no-unused-vars\n      return arrayReduceRight.apply(validate(this), arguments);\n    },\n    reverse: function reverse() {\n      var that = this;\n      var length = validate(that).length;\n      var middle = Math.floor(length / 2);\n      var index = 0;\n      var value;\n      while (index < middle) {\n        value = that[index];\n        that[index++] = that[--length];\n        that[length] = value;\n      } return that;\n    },\n    some: function some(callbackfn /* , thisArg */) {\n      return arraySome(validate(this), callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n    },\n    sort: function sort(comparefn) {\n      return arraySort.call(validate(this), comparefn);\n    },\n    subarray: function subarray(begin, end) {\n      var O = validate(this);\n      var length = O.length;\n      var $begin = toAbsoluteIndex(begin, length);\n      return new (speciesConstructor(O, O[DEF_CONSTRUCTOR]))(\n        O.buffer,\n        O.byteOffset + $begin * O.BYTES_PER_ELEMENT,\n        toLength((end === undefined ? length : toAbsoluteIndex(end, length)) - $begin)\n      );\n    }\n  };\n\n  var $slice = function slice(start, end) {\n    return speciesFromList(this, arraySlice.call(validate(this), start, end));\n  };\n\n  var $set = function set(arrayLike /* , offset */) {\n    validate(this);\n    var offset = toOffset(arguments[1], 1);\n    var length = this.length;\n    var src = toObject(arrayLike);\n    var len = toLength(src.length);\n    var index = 0;\n    if (len + offset > length) throw RangeError(WRONG_LENGTH);\n    while (index < len) this[offset + index] = src[index++];\n  };\n\n  var $iterators = {\n    entries: function entries() {\n      return arrayEntries.call(validate(this));\n    },\n    keys: function keys() {\n      return arrayKeys.call(validate(this));\n    },\n    values: function values() {\n      return arrayValues.call(validate(this));\n    }\n  };\n\n  var isTAIndex = function (target, key) {\n    return isObject(target)\n      && target[TYPED_ARRAY]\n      && typeof key != 'symbol'\n      && key in target\n      && String(+key) == String(key);\n  };\n  var $getDesc = function getOwnPropertyDescriptor(target, key) {\n    return isTAIndex(target, key = toPrimitive(key, true))\n      ? propertyDesc(2, target[key])\n      : gOPD(target, key);\n  };\n  var $setDesc = function defineProperty(target, key, desc) {\n    if (isTAIndex(target, key = toPrimitive(key, true))\n      && isObject(desc)\n      && has(desc, 'value')\n      && !has(desc, 'get')\n      && !has(desc, 'set')\n      // TODO: add validation descriptor w/o calling accessors\n      && !desc.configurable\n      && (!has(desc, 'writable') || desc.writable)\n      && (!has(desc, 'enumerable') || desc.enumerable)\n    ) {\n      target[key] = desc.value;\n      return target;\n    } return dP(target, key, desc);\n  };\n\n  if (!ALL_CONSTRUCTORS) {\n    $GOPD.f = $getDesc;\n    $DP.f = $setDesc;\n  }\n\n  $export($export.S + $export.F * !ALL_CONSTRUCTORS, 'Object', {\n    getOwnPropertyDescriptor: $getDesc,\n    defineProperty: $setDesc\n  });\n\n  if (fails(function () { arrayToString.call({}); })) {\n    arrayToString = arrayToLocaleString = function toString() {\n      return arrayJoin.call(this);\n    };\n  }\n\n  var $TypedArrayPrototype$ = redefineAll({}, proto);\n  redefineAll($TypedArrayPrototype$, $iterators);\n  hide($TypedArrayPrototype$, ITERATOR, $iterators.values);\n  redefineAll($TypedArrayPrototype$, {\n    slice: $slice,\n    set: $set,\n    constructor: function () { /* noop */ },\n    toString: arrayToString,\n    toLocaleString: $toLocaleString\n  });\n  addGetter($TypedArrayPrototype$, 'buffer', 'b');\n  addGetter($TypedArrayPrototype$, 'byteOffset', 'o');\n  addGetter($TypedArrayPrototype$, 'byteLength', 'l');\n  addGetter($TypedArrayPrototype$, 'length', 'e');\n  dP($TypedArrayPrototype$, TAG, {\n    get: function () { return this[TYPED_ARRAY]; }\n  });\n\n  // eslint-disable-next-line max-statements\n  module.exports = function (KEY, BYTES, wrapper, CLAMPED) {\n    CLAMPED = !!CLAMPED;\n    var NAME = KEY + (CLAMPED ? 'Clamped' : '') + 'Array';\n    var GETTER = 'get' + KEY;\n    var SETTER = 'set' + KEY;\n    var TypedArray = global[NAME];\n    var Base = TypedArray || {};\n    var TAC = TypedArray && getPrototypeOf(TypedArray);\n    var FORCED = !TypedArray || !$typed.ABV;\n    var O = {};\n    var TypedArrayPrototype = TypedArray && TypedArray[PROTOTYPE];\n    var getter = function (that, index) {\n      var data = that._d;\n      return data.v[GETTER](index * BYTES + data.o, LITTLE_ENDIAN);\n    };\n    var setter = function (that, index, value) {\n      var data = that._d;\n      if (CLAMPED) value = (value = Math.round(value)) < 0 ? 0 : value > 0xff ? 0xff : value & 0xff;\n      data.v[SETTER](index * BYTES + data.o, value, LITTLE_ENDIAN);\n    };\n    var addElement = function (that, index) {\n      dP(that, index, {\n        get: function () {\n          return getter(this, index);\n        },\n        set: function (value) {\n          return setter(this, index, value);\n        },\n        enumerable: true\n      });\n    };\n    if (FORCED) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME, '_d');\n        var index = 0;\n        var offset = 0;\n        var buffer, byteLength, length, klass;\n        if (!isObject(data)) {\n          length = toIndex(data);\n          byteLength = length * BYTES;\n          buffer = new $ArrayBuffer(byteLength);\n        } else if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          buffer = data;\n          offset = toOffset($offset, BYTES);\n          var $len = data.byteLength;\n          if ($length === undefined) {\n            if ($len % BYTES) throw RangeError(WRONG_LENGTH);\n            byteLength = $len - offset;\n            if (byteLength < 0) throw RangeError(WRONG_LENGTH);\n          } else {\n            byteLength = toLength($length) * BYTES;\n            if (byteLength + offset > $len) throw RangeError(WRONG_LENGTH);\n          }\n          length = byteLength / BYTES;\n        } else if (TYPED_ARRAY in data) {\n          return fromList(TypedArray, data);\n        } else {\n          return $from.call(TypedArray, data);\n        }\n        hide(that, '_d', {\n          b: buffer,\n          o: offset,\n          l: byteLength,\n          e: length,\n          v: new $DataView(buffer)\n        });\n        while (index < length) addElement(that, index++);\n      });\n      TypedArrayPrototype = TypedArray[PROTOTYPE] = create($TypedArrayPrototype$);\n      hide(TypedArrayPrototype, 'constructor', TypedArray);\n    } else if (!fails(function () {\n      TypedArray(1);\n    }) || !fails(function () {\n      new TypedArray(-1); // eslint-disable-line no-new\n    }) || !$iterDetect(function (iter) {\n      new TypedArray(); // eslint-disable-line no-new\n      new TypedArray(null); // eslint-disable-line no-new\n      new TypedArray(1.5); // eslint-disable-line no-new\n      new TypedArray(iter); // eslint-disable-line no-new\n    }, true)) {\n      TypedArray = wrapper(function (that, data, $offset, $length) {\n        anInstance(that, TypedArray, NAME);\n        var klass;\n        // `ws` module bug, temporarily remove validation length for Uint8Array\n        // https://github.com/websockets/ws/pull/645\n        if (!isObject(data)) return new Base(toIndex(data));\n        if (data instanceof $ArrayBuffer || (klass = classof(data)) == ARRAY_BUFFER || klass == SHARED_BUFFER) {\n          return $length !== undefined\n            ? new Base(data, toOffset($offset, BYTES), $length)\n            : $offset !== undefined\n              ? new Base(data, toOffset($offset, BYTES))\n              : new Base(data);\n        }\n        if (TYPED_ARRAY in data) return fromList(TypedArray, data);\n        return $from.call(TypedArray, data);\n      });\n      arrayForEach(TAC !== Function.prototype ? gOPN(Base).concat(gOPN(TAC)) : gOPN(Base), function (key) {\n        if (!(key in TypedArray)) hide(TypedArray, key, Base[key]);\n      });\n      TypedArray[PROTOTYPE] = TypedArrayPrototype;\n      if (!LIBRARY) TypedArrayPrototype.constructor = TypedArray;\n    }\n    var $nativeIterator = TypedArrayPrototype[ITERATOR];\n    var CORRECT_ITER_NAME = !!$nativeIterator\n      && ($nativeIterator.name == 'values' || $nativeIterator.name == undefined);\n    var $iterator = $iterators.values;\n    hide(TypedArray, TYPED_CONSTRUCTOR, true);\n    hide(TypedArrayPrototype, TYPED_ARRAY, NAME);\n    hide(TypedArrayPrototype, VIEW, true);\n    hide(TypedArrayPrototype, DEF_CONSTRUCTOR, TypedArray);\n\n    if (CLAMPED ? new TypedArray(1)[TAG] != NAME : !(TAG in TypedArrayPrototype)) {\n      dP(TypedArrayPrototype, TAG, {\n        get: function () { return NAME; }\n      });\n    }\n\n    O[NAME] = TypedArray;\n\n    $export($export.G + $export.W + $export.F * (TypedArray != Base), O);\n\n    $export($export.S, NAME, {\n      BYTES_PER_ELEMENT: BYTES\n    });\n\n    $export($export.S + $export.F * fails(function () { Base.of.call(TypedArray, 1); }), NAME, {\n      from: $from,\n      of: $of\n    });\n\n    if (!(BYTES_PER_ELEMENT in TypedArrayPrototype)) hide(TypedArrayPrototype, BYTES_PER_ELEMENT, BYTES);\n\n    $export($export.P, NAME, proto);\n\n    setSpecies(NAME);\n\n    $export($export.P + $export.F * FORCED_SET, NAME, { set: $set });\n\n    $export($export.P + $export.F * !CORRECT_ITER_NAME, NAME, $iterators);\n\n    if (!LIBRARY && TypedArrayPrototype.toString != arrayToString) TypedArrayPrototype.toString = arrayToString;\n\n    $export($export.P + $export.F * fails(function () {\n      new TypedArray(1).slice();\n    }), NAME, { slice: $slice });\n\n    $export($export.P + $export.F * (fails(function () {\n      return [1, 2].toLocaleString() != new TypedArray([1, 2]).toLocaleString();\n    }) || !fails(function () {\n      TypedArrayPrototype.toLocaleString.call([1, 2]);\n    })), NAME, { toLocaleString: $toLocaleString });\n\n    Iterators[NAME] = CORRECT_ITER_NAME ? $nativeIterator : $iterator;\n    if (!LIBRARY && !CORRECT_ITER_NAME) hide(TypedArrayPrototype, ITERATOR, $iterator);\n  };\n} else module.exports = function () { /* empty */ };\n","var Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar StringDecoder = require('string_decoder').StringDecoder\nvar inherits = require('inherits')\n\nfunction CipherBase (hashMode) {\n  Transform.call(this)\n  this.hashMode = typeof hashMode === 'string'\n  if (this.hashMode) {\n    this[hashMode] = this._finalOrDigest\n  } else {\n    this.final = this._finalOrDigest\n  }\n  if (this._final) {\n    this.__final = this._final\n    this._final = null\n  }\n  this._decoder = null\n  this._encoding = null\n}\ninherits(CipherBase, Transform)\n\nCipherBase.prototype.update = function (data, inputEnc, outputEnc) {\n  if (typeof data === 'string') {\n    data = Buffer.from(data, inputEnc)\n  }\n\n  var outData = this._update(data)\n  if (this.hashMode) return this\n\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc)\n  }\n\n  return outData\n}\n\nCipherBase.prototype.setAutoPadding = function () {}\nCipherBase.prototype.getAuthTag = function () {\n  throw new Error('trying to get auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAuthTag = function () {\n  throw new Error('trying to set auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAAD = function () {\n  throw new Error('trying to set aad in unsupported state')\n}\n\nCipherBase.prototype._transform = function (data, _, next) {\n  var err\n  try {\n    if (this.hashMode) {\n      this._update(data)\n    } else {\n      this.push(this._update(data))\n    }\n  } catch (e) {\n    err = e\n  } finally {\n    next(err)\n  }\n}\nCipherBase.prototype._flush = function (done) {\n  var err\n  try {\n    this.push(this.__final())\n  } catch (e) {\n    err = e\n  }\n\n  done(err)\n}\nCipherBase.prototype._finalOrDigest = function (outputEnc) {\n  var outData = this.__final() || Buffer.alloc(0)\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc, true)\n  }\n  return outData\n}\n\nCipherBase.prototype._toString = function (value, enc, fin) {\n  if (!this._decoder) {\n    this._decoder = new StringDecoder(enc)\n    this._encoding = enc\n  }\n\n  if (this._encoding !== enc) throw new Error('can\\'t switch encodings')\n\n  var out = this._decoder.write(value)\n  if (fin) {\n    out += this._decoder.end()\n  }\n\n  return out\n}\n\nmodule.exports = CipherBase\n","var dP = require('./_object-dp');\nvar createDesc = require('./_property-desc');\nmodule.exports = require('./_descriptors') ? function (object, key, value) {\n  return dP.f(object, key, createDesc(1, value));\n} : function (object, key, value) {\n  object[key] = value;\n  return object;\n};\n","// 22.1.3.31 Array.prototype[@@unscopables]\nvar UNSCOPABLES = require('./_wks')('unscopables');\nvar ArrayProto = Array.prototype;\nif (ArrayProto[UNSCOPABLES] == undefined) require('./_hide')(ArrayProto, UNSCOPABLES, {});\nmodule.exports = function (key) {\n  ArrayProto[UNSCOPABLES][key] = true;\n};\n","module.exports = false;\n","var META = require('./_uid')('meta');\nvar isObject = require('./_is-object');\nvar has = require('./_has');\nvar setDesc = require('./_object-dp').f;\nvar id = 0;\nvar isExtensible = Object.isExtensible || function () {\n  return true;\n};\nvar FREEZE = !require('./_fails')(function () {\n  return isExtensible(Object.preventExtensions({}));\n});\nvar setMeta = function (it) {\n  setDesc(it, META, { value: {\n    i: 'O' + ++id, // object ID\n    w: {}          // weak collections IDs\n  } });\n};\nvar fastKey = function (it, create) {\n  // return primitive with prefix\n  if (!isObject(it)) return typeof it == 'symbol' ? it : (typeof it == 'string' ? 'S' : 'P') + it;\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return 'F';\n    // not necessary to add metadata\n    if (!create) return 'E';\n    // add missing metadata\n    setMeta(it);\n  // return object ID\n  } return it[META].i;\n};\nvar getWeak = function (it, create) {\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return true;\n    // not necessary to add metadata\n    if (!create) return false;\n    // add missing metadata\n    setMeta(it);\n  // return hash weak collections IDs\n  } return it[META].w;\n};\n// add metadata on freeze-family methods calling\nvar onFreeze = function (it) {\n  if (FREEZE && meta.NEED && isExtensible(it) && !has(it, META)) setMeta(it);\n  return it;\n};\nvar meta = module.exports = {\n  KEY: META,\n  NEED: false,\n  fastKey: fastKey,\n  getWeak: getWeak,\n  onFreeze: onFreeze\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/promise\"), __esModule: true };","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a duplex stream is just a stream that is both readable and writable.\n// Since JS doesn't have multiple prototypal inheritance, this class\n// prototypally inherits from Readable, and then parasitically from\n// Writable.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\n/*<replacement>*/\nvar objectKeys = Object.keys || function (obj) {\n  var keys = [];\n  for (var key in obj) {\n    keys.push(key);\n  }return keys;\n};\n/*</replacement>*/\n\nmodule.exports = Duplex;\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nvar Readable = require('./_stream_readable');\nvar Writable = require('./_stream_writable');\n\nutil.inherits(Duplex, Readable);\n\n{\n  // avoid scope creep, the keys array can then be collected\n  var keys = objectKeys(Writable.prototype);\n  for (var v = 0; v < keys.length; v++) {\n    var method = keys[v];\n    if (!Duplex.prototype[method]) Duplex.prototype[method] = Writable.prototype[method];\n  }\n}\n\nfunction Duplex(options) {\n  if (!(this instanceof Duplex)) return new Duplex(options);\n\n  Readable.call(this, options);\n  Writable.call(this, options);\n\n  if (options && options.readable === false) this.readable = false;\n\n  if (options && options.writable === false) this.writable = false;\n\n  this.allowHalfOpen = true;\n  if (options && options.allowHalfOpen === false) this.allowHalfOpen = false;\n\n  this.once('end', onend);\n}\n\nObject.defineProperty(Duplex.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// the no-half-open enforcer\nfunction onend() {\n  // if we allow half-open state, or if the writable side ended,\n  // then we're ok.\n  if (this.allowHalfOpen || this._writableState.ended) return;\n\n  // no more data can be written.\n  // But allow more writes to happen in this tick.\n  pna.nextTick(onEndNT, this);\n}\n\nfunction onEndNT(self) {\n  self.end();\n}\n\nObject.defineProperty(Duplex.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined || this._writableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed && this._writableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (this._readableState === undefined || this._writableState === undefined) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n    this._writableState.destroyed = value;\n  }\n});\n\nDuplex.prototype._destroy = function (err, cb) {\n  this.push(null);\n  this.end();\n\n  pna.nextTick(cb, err);\n};","// to indexed object, toObject with fallback for non-array-like ES3 strings\nvar IObject = require('./_iobject');\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return IObject(defined(it));\n};\n","var hasOwnProperty = {}.hasOwnProperty;\nmodule.exports = function (it, key) {\n  return hasOwnProperty.call(it, key);\n};\n","module.exports = function (exec) {\n  try {\n    return !!exec();\n  } catch (e) {\n    return true;\n  }\n};\n","var redefine = require('./_redefine');\nmodule.exports = function (target, src, safe) {\n  for (var key in src) redefine(target, key, src[key], safe);\n  return target;\n};\n","var ctx = require('./_ctx');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar getIterFn = require('./core.get-iterator-method');\nvar BREAK = {};\nvar RETURN = {};\nvar exports = module.exports = function (iterable, entries, fn, that, ITERATOR) {\n  var iterFn = ITERATOR ? function () { return iterable; } : getIterFn(iterable);\n  var f = ctx(fn, that, entries ? 2 : 1);\n  var index = 0;\n  var length, step, iterator, result;\n  if (typeof iterFn != 'function') throw TypeError(iterable + ' is not iterable!');\n  // fast case for arrays with default iterator\n  if (isArrayIter(iterFn)) for (length = toLength(iterable.length); length > index; index++) {\n    result = entries ? f(anObject(step = iterable[index])[0], step[1]) : f(iterable[index]);\n    if (result === BREAK || result === RETURN) return result;\n  } else for (iterator = iterFn.call(iterable); !(step = iterator.next()).done;) {\n    result = call(iterator, f, step.value, entries);\n    if (result === BREAK || result === RETURN) return result;\n  }\n};\nexports.BREAK = BREAK;\nexports.RETURN = RETURN;\n","module.exports = function (it, Constructor, name, forbiddenField) {\n  if (!(it instanceof Constructor) || (forbiddenField !== undefined && forbiddenField in it)) {\n    throw TypeError(name + ': incorrect invocation!');\n  } return it;\n};\n","'use strict';\nvar global = require('./_global');\nvar dP = require('./_object-dp');\nvar DESCRIPTORS = require('./_descriptors');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (KEY) {\n  var C = global[KEY];\n  if (DESCRIPTORS && C && !C[SPECIES]) dP.f(C, SPECIES, {\n    configurable: true,\n    get: function () { return this; }\n  });\n};\n","// 19.1.2.7 / 15.2.3.4 Object.getOwnPropertyNames(O)\nvar $keys = require('./_object-keys-internal');\nvar hiddenKeys = require('./_enum-bug-keys').concat('length', 'prototype');\n\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return $keys(O, hiddenKeys);\n};\n","// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\nvar anObject = require('./_an-object');\nvar dPs = require('./_object-dps');\nvar enumBugKeys = require('./_enum-bug-keys');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar Empty = function () { /* empty */ };\nvar PROTOTYPE = 'prototype';\n\n// Create object with fake `null` prototype: use iframe Object with cleared prototype\nvar createDict = function () {\n  // Thrash, waste and sodomy: IE GC bug\n  var iframe = require('./_dom-create')('iframe');\n  var i = enumBugKeys.length;\n  var lt = '<';\n  var gt = '>';\n  var iframeDocument;\n  iframe.style.display = 'none';\n  require('./_html').appendChild(iframe);\n  iframe.src = 'javascript:'; // eslint-disable-line no-script-url\n  // createDict = iframe.contentWindow.Object;\n  // html.removeChild(iframe);\n  iframeDocument = iframe.contentWindow.document;\n  iframeDocument.open();\n  iframeDocument.write(lt + 'script' + gt + 'document.F=Object' + lt + '/script' + gt);\n  iframeDocument.close();\n  createDict = iframeDocument.F;\n  while (i--) delete createDict[PROTOTYPE][enumBugKeys[i]];\n  return createDict();\n};\n\nmodule.exports = Object.create || function create(O, Properties) {\n  var result;\n  if (O !== null) {\n    Empty[PROTOTYPE] = anObject(O);\n    result = new Empty();\n    Empty[PROTOTYPE] = null;\n    // add \"__proto__\" for Object.getPrototypeOf polyfill\n    result[IE_PROTO] = O;\n  } else result = createDict();\n  return Properties === undefined ? result : dPs(result, Properties);\n};\n","var toInteger = require('./_to-integer');\nvar max = Math.max;\nvar min = Math.min;\nmodule.exports = function (index, length) {\n  index = toInteger(index);\n  return index < 0 ? max(index + length, 0) : min(index, length);\n};\n","// 19.1.2.14 / 15.2.3.14 Object.keys(O)\nvar $keys = require('./_object-keys-internal');\nvar enumBugKeys = require('./_enum-bug-keys');\n\nmodule.exports = Object.keys || function keys(O) {\n  return $keys(O, enumBugKeys);\n};\n","var id = 0;\nvar px = Math.random();\nmodule.exports = function (key) {\n  return 'Symbol('.concat(key === undefined ? '' : key, ')_', (++id + px).toString(36));\n};\n","module.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n","module.exports = {};\n","'use strict';\nvar $at = require('./_string-at')(true);\n\n// 21.1.3.27 String.prototype[@@iterator]()\nrequire('./_iter-define')(String, 'String', function (iterated) {\n  this._t = String(iterated); // target\n  this._i = 0;                // next index\n// 21.1.5.2.1 %StringIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var index = this._i;\n  var point;\n  if (index >= O.length) return { value: undefined, done: true };\n  point = $at(O, index);\n  this._i += point.length;\n  return { value: point, done: false };\n});\n","var Buffer = require('safe-buffer').Buffer\n\n// prototype class for hash functions\nfunction Hash (blockSize, finalSize) {\n  this._block = Buffer.alloc(blockSize)\n  this._finalSize = finalSize\n  this._blockSize = blockSize\n  this._len = 0\n}\n\nHash.prototype.update = function (data, enc) {\n  if (typeof data === 'string') {\n    enc = enc || 'utf8'\n    data = Buffer.from(data, enc)\n  }\n\n  var block = this._block\n  var blockSize = this._blockSize\n  var length = data.length\n  var accum = this._len\n\n  for (var offset = 0; offset < length;) {\n    var assigned = accum % blockSize\n    var remainder = Math.min(length - offset, blockSize - assigned)\n\n    for (var i = 0; i < remainder; i++) {\n      block[assigned + i] = data[offset + i]\n    }\n\n    accum += remainder\n    offset += remainder\n\n    if ((accum % blockSize) === 0) {\n      this._update(block)\n    }\n  }\n\n  this._len += length\n  return this\n}\n\nHash.prototype.digest = function (enc) {\n  var rem = this._len % this._blockSize\n\n  this._block[rem] = 0x80\n\n  // zero (rem + 1) trailing bits, where (rem + 1) is the smallest\n  // non-negative solution to the equation (length + 1 + (rem + 1)) === finalSize mod blockSize\n  this._block.fill(0, rem + 1)\n\n  if (rem >= this._finalSize) {\n    this._update(this._block)\n    this._block.fill(0)\n  }\n\n  var bits = this._len * 8\n\n  // uint32\n  if (bits <= 0xffffffff) {\n    this._block.writeUInt32BE(bits, this._blockSize - 4)\n\n  // uint64\n  } else {\n    var lowBits = (bits & 0xffffffff) >>> 0\n    var highBits = (bits - lowBits) / 0x100000000\n\n    this._block.writeUInt32BE(highBits, this._blockSize - 8)\n    this._block.writeUInt32BE(lowBits, this._blockSize - 4)\n  }\n\n  this._update(this._block)\n  var hash = this._hash()\n\n  return enc ? hash.toString(enc) : hash\n}\n\nHash.prototype._update = function () {\n  throw new Error('_update must be implemented by subclass')\n}\n\nmodule.exports = Hash\n","'use strict'\n\nfunction oldBrowser () {\n  throw new Error('Secure random number generation is not supported by this browser.\\nUse Chrome, Firefox or Internet Explorer 11')\n}\n\nvar Buffer = require('safe-buffer').Buffer\nvar crypto = global.crypto || global.msCrypto\n\nif (crypto && crypto.getRandomValues) {\n  module.exports = randomBytes\n} else {\n  module.exports = oldBrowser\n}\n\nfunction randomBytes (size, cb) {\n  // phantomjs needs to throw\n  if (size > 65536) throw new Error('requested too many random bytes')\n  // in case browserify  isn't using the Uint8Array version\n  var rawBytes = new global.Uint8Array(size)\n\n  // This will not work in older browsers.\n  // See https://developer.mozilla.org/en-US/docs/Web/API/window.crypto.getRandomValues\n  if (size > 0) {  // getRandomValues fails on IE if size == 0\n    crypto.getRandomValues(rawBytes)\n  }\n\n  // XXX: phantomjs doesn't like a buffer being passed here\n  var bytes = Buffer.from(rawBytes.buffer)\n\n  if (typeof cb === 'function') {\n    return process.nextTick(function () {\n      cb(null, bytes)\n    })\n  }\n\n  return bytes\n}\n","// 7.1.13 ToObject(argument)\nvar defined = require('./_defined');\nmodule.exports = function (it) {\n  return Object(defined(it));\n};\n","// 19.1.2.14 / 15.2.3.14 Object.keys(O)\nvar $keys = require('./_object-keys-internal');\nvar enumBugKeys = require('./_enum-bug-keys');\n\nmodule.exports = Object.keys || function keys(O) {\n  return $keys(O, enumBugKeys);\n};\n","var isObject = require('./_is-object');\nmodule.exports = function (it, TYPE) {\n  if (!isObject(it) || it._t !== TYPE) throw TypeError('Incompatible receiver, ' + TYPE + ' required!');\n  return it;\n};\n","module.exports = {};\n","var $export = require('./_export');\nvar defined = require('./_defined');\nvar fails = require('./_fails');\nvar spaces = require('./_string-ws');\nvar space = '[' + spaces + ']';\nvar non = '\\u200b\\u0085';\nvar ltrim = RegExp('^' + space + space + '*');\nvar rtrim = RegExp(space + space + '*$');\n\nvar exporter = function (KEY, exec, ALIAS) {\n  var exp = {};\n  var FORCE = fails(function () {\n    return !!spaces[KEY]() || non[KEY]() != non;\n  });\n  var fn = exp[KEY] = FORCE ? exec(trim) : spaces[KEY];\n  if (ALIAS) exp[ALIAS] = fn;\n  $export($export.P + $export.F * FORCE, 'String', exp);\n};\n\n// 1 -> String#trimLeft\n// 2 -> String#trimRight\n// 3 -> String#trim\nvar trim = exporter.trim = function (string, TYPE) {\n  string = String(defined(string));\n  if (TYPE & 1) string = string.replace(ltrim, '');\n  if (TYPE & 2) string = string.replace(rtrim, '');\n  return string;\n};\n\nmodule.exports = exporter;\n","// getting tag from 19.1.3.6 Object.prototype.toString()\nvar cof = require('./_cof');\nvar TAG = require('./_wks')('toStringTag');\n// ES3 wrong here\nvar ARG = cof(function () { return arguments; }()) == 'Arguments';\n\n// fallback for IE11 Script Access Denied error\nvar tryGet = function (it, key) {\n  try {\n    return it[key];\n  } catch (e) { /* empty */ }\n};\n\nmodule.exports = function (it) {\n  var O, T, B;\n  return it === undefined ? 'Undefined' : it === null ? 'Null'\n    // @@toStringTag case\n    : typeof (T = tryGet(O = Object(it), TAG)) == 'string' ? T\n    // builtinTag case\n    : ARG ? cof(O)\n    // ES3 arguments fallback\n    : (B = cof(O)) == 'Object' && typeof O.callee == 'function' ? 'Arguments' : B;\n};\n","var def = require('./_object-dp').f;\nvar has = require('./_has');\nvar TAG = require('./_wks')('toStringTag');\n\nmodule.exports = function (it, tag, stat) {\n  if (it && !has(it = stat ? it : it.prototype, TAG)) def(it, TAG, { configurable: true, value: tag });\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/object/keys\"), __esModule: true };","var ctx = require('./_ctx');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar getIterFn = require('./core.get-iterator-method');\nvar BREAK = {};\nvar RETURN = {};\nvar exports = module.exports = function (iterable, entries, fn, that, ITERATOR) {\n  var iterFn = ITERATOR ? function () { return iterable; } : getIterFn(iterable);\n  var f = ctx(fn, that, entries ? 2 : 1);\n  var index = 0;\n  var length, step, iterator, result;\n  if (typeof iterFn != 'function') throw TypeError(iterable + ' is not iterable!');\n  // fast case for arrays with default iterator\n  if (isArrayIter(iterFn)) for (length = toLength(iterable.length); length > index; index++) {\n    result = entries ? f(anObject(step = iterable[index])[0], step[1]) : f(iterable[index]);\n    if (result === BREAK || result === RETURN) return result;\n  } else for (iterator = iterFn.call(iterable); !(step = iterator.next()).done;) {\n    result = call(iterator, f, step.value, entries);\n    if (result === BREAK || result === RETURN) return result;\n  }\n};\nexports.BREAK = BREAK;\nexports.RETURN = RETURN;\n","require('./es6.array.iterator');\nvar global = require('./_global');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar TO_STRING_TAG = require('./_wks')('toStringTag');\n\nvar DOMIterables = ('CSSRuleList,CSSStyleDeclaration,CSSValueList,ClientRectList,DOMRectList,DOMStringList,' +\n  'DOMTokenList,DataTransferItemList,FileList,HTMLAllCollection,HTMLCollection,HTMLFormElement,HTMLSelectElement,' +\n  'MediaList,MimeTypeArray,NamedNodeMap,NodeList,PaintRequestList,Plugin,PluginArray,SVGLengthList,SVGNumberList,' +\n  'SVGPathSegList,SVGPointList,SVGStringList,SVGTransformList,SourceBufferList,StyleSheetList,TextTrackCueList,' +\n  'TextTrackList,TouchList').split(',');\n\nfor (var i = 0; i < DOMIterables.length; i++) {\n  var NAME = DOMIterables[i];\n  var Collection = global[NAME];\n  var proto = Collection && Collection.prototype;\n  if (proto && !proto[TO_STRING_TAG]) hide(proto, TO_STRING_TAG, NAME);\n  Iterators[NAME] = Iterators.Array;\n}\n","var def = require('./_object-dp').f;\nvar has = require('./_has');\nvar TAG = require('./_wks')('toStringTag');\n\nmodule.exports = function (it, tag, stat) {\n  if (it && !has(it = stat ? it : it.prototype, TAG)) def(it, TAG, { configurable: true, value: tag });\n};\n","var base = exports;\n\nbase.Reporter = require('./reporter').Reporter;\nbase.DecoderBuffer = require('./buffer').DecoderBuffer;\nbase.EncoderBuffer = require('./buffer').EncoderBuffer;\nbase.Node = require('./node');\n","var asn1 = exports;\n\nasn1.bignum = require('bn.js');\n\nasn1.define = require('./asn1/api').define;\nasn1.base = require('./asn1/base');\nasn1.constants = require('./asn1/constants');\nasn1.decoders = require('./asn1/decoders');\nasn1.encoders = require('./asn1/encoders');\n","'use strict';\n\nvar utils = require('./utils');\nvar assert = require('minimalistic-assert');\n\nfunction BlockHash() {\n  this.pending = null;\n  this.pendingTotal = 0;\n  this.blockSize = this.constructor.blockSize;\n  this.outSize = this.constructor.outSize;\n  this.hmacStrength = this.constructor.hmacStrength;\n  this.padLength = this.constructor.padLength / 8;\n  this.endian = 'big';\n\n  this._delta8 = this.blockSize / 8;\n  this._delta32 = this.blockSize / 32;\n}\nexports.BlockHash = BlockHash;\n\nBlockHash.prototype.update = function update(msg, enc) {\n  // Convert message to array, pad it, and join into 32bit blocks\n  msg = utils.toArray(msg, enc);\n  if (!this.pending)\n    this.pending = msg;\n  else\n    this.pending = this.pending.concat(msg);\n  this.pendingTotal += msg.length;\n\n  // Enough data, try updating\n  if (this.pending.length >= this._delta8) {\n    msg = this.pending;\n\n    // Process pending data in blocks\n    var r = msg.length % this._delta8;\n    this.pending = msg.slice(msg.length - r, msg.length);\n    if (this.pending.length === 0)\n      this.pending = null;\n\n    msg = utils.join32(msg, 0, msg.length - r, this.endian);\n    for (var i = 0; i < msg.length; i += this._delta32)\n      this._update(msg, i, i + this._delta32);\n  }\n\n  return this;\n};\n\nBlockHash.prototype.digest = function digest(enc) {\n  this.update(this._pad());\n  assert(this.pending === null);\n\n  return this._digest(enc);\n};\n\nBlockHash.prototype._pad = function pad() {\n  var len = this.pendingTotal;\n  var bytes = this._delta8;\n  var k = bytes - ((len + this.padLength) % bytes);\n  var res = new Array(k + this.padLength);\n  res[0] = 0x80;\n  for (var i = 1; i < k; i++)\n    res[i] = 0;\n\n  // Append length\n  len <<= 3;\n  if (this.endian === 'big') {\n    for (var t = 8; t < this.padLength; t++)\n      res[i++] = 0;\n\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = (len >>> 24) & 0xff;\n    res[i++] = (len >>> 16) & 0xff;\n    res[i++] = (len >>> 8) & 0xff;\n    res[i++] = len & 0xff;\n  } else {\n    res[i++] = len & 0xff;\n    res[i++] = (len >>> 8) & 0xff;\n    res[i++] = (len >>> 16) & 0xff;\n    res[i++] = (len >>> 24) & 0xff;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n\n    for (t = 8; t < this.padLength; t++)\n      res[i++] = 0;\n  }\n\n  return res;\n};\n","module.exports = function xor (a, b) {\n  var length = Math.min(a.length, b.length)\n  var buffer = new Buffer(length)\n\n  for (var i = 0; i < length; ++i) {\n    buffer[i] = a[i] ^ b[i]\n  }\n\n  return buffer\n}\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// NOTE: These type checking functions intentionally don't use `instanceof`\n// because it is fragile and can be easily faked with `Object.create()`.\n\nfunction isArray(arg) {\n  if (Array.isArray) {\n    return Array.isArray(arg);\n  }\n  return objectToString(arg) === '[object Array]';\n}\nexports.isArray = isArray;\n\nfunction isBoolean(arg) {\n  return typeof arg === 'boolean';\n}\nexports.isBoolean = isBoolean;\n\nfunction isNull(arg) {\n  return arg === null;\n}\nexports.isNull = isNull;\n\nfunction isNullOrUndefined(arg) {\n  return arg == null;\n}\nexports.isNullOrUndefined = isNullOrUndefined;\n\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\nexports.isNumber = isNumber;\n\nfunction isString(arg) {\n  return typeof arg === 'string';\n}\nexports.isString = isString;\n\nfunction isSymbol(arg) {\n  return typeof arg === 'symbol';\n}\nexports.isSymbol = isSymbol;\n\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\nexports.isUndefined = isUndefined;\n\nfunction isRegExp(re) {\n  return objectToString(re) === '[object RegExp]';\n}\nexports.isRegExp = isRegExp;\n\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\nexports.isObject = isObject;\n\nfunction isDate(d) {\n  return objectToString(d) === '[object Date]';\n}\nexports.isDate = isDate;\n\nfunction isError(e) {\n  return (objectToString(e) === '[object Error]' || e instanceof Error);\n}\nexports.isError = isError;\n\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\nexports.isFunction = isFunction;\n\nfunction isPrimitive(arg) {\n  return arg === null ||\n         typeof arg === 'boolean' ||\n         typeof arg === 'number' ||\n         typeof arg === 'string' ||\n         typeof arg === 'symbol' ||  // ES6 symbol\n         typeof arg === 'undefined';\n}\nexports.isPrimitive = isPrimitive;\n\nexports.isBuffer = Buffer.isBuffer;\n\nfunction objectToString(o) {\n  return Object.prototype.toString.call(o);\n}\n","'use strict'\nvar inherits = require('inherits')\nvar MD5 = require('md5.js')\nvar RIPEMD160 = require('ripemd160')\nvar sha = require('sha.js')\nvar Base = require('cipher-base')\n\nfunction Hash (hash) {\n  Base.call(this, 'digest')\n\n  this._hash = hash\n}\n\ninherits(Hash, Base)\n\nHash.prototype._update = function (data) {\n  this._hash.update(data)\n}\n\nHash.prototype._final = function () {\n  return this._hash.digest()\n}\n\nmodule.exports = function createHash (alg) {\n  alg = alg.toLowerCase()\n  if (alg === 'md5') return new MD5()\n  if (alg === 'rmd160' || alg === 'ripemd160') return new RIPEMD160()\n\n  return new Hash(sha(alg))\n}\n","exports.f = {}.propertyIsEnumerable;\n","module.exports = true;\n","var toString = {}.toString;\n\nmodule.exports = function (it) {\n  return toString.call(it).slice(8, -1);\n};\n","module.exports = function (bitmap, value) {\n  return {\n    enumerable: !(bitmap & 1),\n    configurable: !(bitmap & 2),\n    writable: !(bitmap & 4),\n    value: value\n  };\n};\n","module.exports = function (it) {\n  if (typeof it != 'function') throw TypeError(it + ' is not a function!');\n  return it;\n};\n","// 7.3.20 SpeciesConstructor(O, defaultConstructor)\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar SPECIES = require('./_wks')('species');\nmodule.exports = function (O, D) {\n  var C = anObject(O).constructor;\n  var S;\n  return C === undefined || (S = anObject(C)[SPECIES]) == undefined ? D : aFunction(S);\n};\n","'use strict';\n// 21.2.5.3 get RegExp.prototype.flags\nvar anObject = require('./_an-object');\nmodule.exports = function () {\n  var that = anObject(this);\n  var result = '';\n  if (that.global) result += 'g';\n  if (that.ignoreCase) result += 'i';\n  if (that.multiline) result += 'm';\n  if (that.unicode) result += 'u';\n  if (that.sticky) result += 'y';\n  return result;\n};\n","exports.f = {}.propertyIsEnumerable;\n","// fallback for non-array-like ES3 and non-enumerable old V8 strings\nvar cof = require('./_cof');\n// eslint-disable-next-line no-prototype-builtins\nmodule.exports = Object('z').propertyIsEnumerable(0) ? Object : function (it) {\n  return cof(it) == 'String' ? it.split('') : Object(it);\n};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\n\n// Resize video elements\nconst processVideo = (input, size, callback = () => {}) => {\n  const videoInput = input;\n  const element = document.createElement('video');\n  videoInput.onplay = () => {\n    const stream = videoInput.captureStream();\n    element.srcObject = stream;\n    element.width = size;\n    element.height = size;\n    element.autoplay = true;\n    element.playsinline = true;\n    element.muted = true;\n    callback();\n  };\n  return element;\n};\n\n// Converts a tf to DOM img\nconst array3DToImage = (tensor) => {\n  const [imgHeight, imgWidth] = tensor.shape;\n  const data = tensor.dataSync();\n  const canvas = document.createElement('canvas');\n  canvas.width = imgWidth;\n  canvas.height = imgHeight;\n  const ctx = canvas.getContext('2d');\n  const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);\n\n  for (let i = 0; i < imgWidth * imgHeight; i += 1) {\n    const j = i * 4;\n    const k = i * 3;\n    imageData.data[j + 0] = Math.floor(256 * data[k + 0]);\n    imageData.data[j + 1] = Math.floor(256 * data[k + 1]);\n    imageData.data[j + 2] = Math.floor(256 * data[k + 2]);\n    imageData.data[j + 3] = 255;\n  }\n  ctx.putImageData(imageData, 0, 0);\n\n  // Create img HTML element from canvas\n  const dataUrl = canvas.toDataURL();\n  const outputImg = document.createElement('img');\n  outputImg.src = dataUrl;\n  outputImg.style.width = imgWidth;\n  outputImg.style.height = imgHeight;\n  return outputImg;\n};\n\n// Static Method: crop the image\nconst cropImage = (img) => {\n  const size = Math.min(img.shape[0], img.shape[1]);\n  const centerHeight = img.shape[0] / 2;\n  const beginHeight = centerHeight - (size / 2);\n  const centerWidth = img.shape[1] / 2;\n  const beginWidth = centerWidth - (size / 2);\n  return img.slice([beginHeight, beginWidth, 0], [size, size, 3]);\n};\n\n// Static Method: image to tf tensor\nfunction imgToTensor(input, size = null) {\n  return tf.tidy(() => {\n    let img = tf.fromPixels(input);\n    if (size) {\n      img = tf.image.resizeBilinear(img, size);\n    }\n    const croppedImage = cropImage(img);\n    const batchedImage = croppedImage.expandDims(0);\n    return batchedImage.toFloat().div(tf.scalar(127)).sub(tf.scalar(1));\n  });\n}\n\nexport {\n  array3DToImage,\n  processVideo,\n  cropImage,\n  imgToTensor,\n};\n","// getting tag from 19.1.3.6 Object.prototype.toString()\nvar cof = require('./_cof');\nvar TAG = require('./_wks')('toStringTag');\n// ES3 wrong here\nvar ARG = cof(function () { return arguments; }()) == 'Arguments';\n\n// fallback for IE11 Script Access Denied error\nvar tryGet = function (it, key) {\n  try {\n    return it[key];\n  } catch (e) { /* empty */ }\n};\n\nmodule.exports = function (it) {\n  var O, T, B;\n  return it === undefined ? 'Undefined' : it === null ? 'Null'\n    // @@toStringTag case\n    : typeof (T = tryGet(O = Object(it), TAG)) == 'string' ? T\n    // builtinTag case\n    : ARG ? cof(O)\n    // ES3 arguments fallback\n    : (B = cof(O)) == 'Object' && typeof O.callee == 'function' ? 'Arguments' : B;\n};\n","// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\nvar anObject = require('./_an-object');\nvar dPs = require('./_object-dps');\nvar enumBugKeys = require('./_enum-bug-keys');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar Empty = function () { /* empty */ };\nvar PROTOTYPE = 'prototype';\n\n// Create object with fake `null` prototype: use iframe Object with cleared prototype\nvar createDict = function () {\n  // Thrash, waste and sodomy: IE GC bug\n  var iframe = require('./_dom-create')('iframe');\n  var i = enumBugKeys.length;\n  var lt = '<';\n  var gt = '>';\n  var iframeDocument;\n  iframe.style.display = 'none';\n  require('./_html').appendChild(iframe);\n  iframe.src = 'javascript:'; // eslint-disable-line no-script-url\n  // createDict = iframe.contentWindow.Object;\n  // html.removeChild(iframe);\n  iframeDocument = iframe.contentWindow.document;\n  iframeDocument.open();\n  iframeDocument.write(lt + 'script' + gt + 'document.F=Object' + lt + '/script' + gt);\n  iframeDocument.close();\n  createDict = iframeDocument.F;\n  while (i--) delete createDict[PROTOTYPE][enumBugKeys[i]];\n  return createDict();\n};\n\nmodule.exports = Object.create || function create(O, Properties) {\n  var result;\n  if (O !== null) {\n    Empty[PROTOTYPE] = anObject(O);\n    result = new Empty();\n    Empty[PROTOTYPE] = null;\n    // add \"__proto__\" for Object.getPrototypeOf polyfill\n    result[IE_PROTO] = O;\n  } else result = createDict();\n  return Properties === undefined ? result : dPs(result, Properties);\n};\n","var asn1 = require('./asn1')\nvar aesid = require('./aesid.json')\nvar fixProc = require('./fixProc')\nvar ciphers = require('browserify-aes')\nvar compat = require('pbkdf2')\nvar Buffer = require('safe-buffer').Buffer\nmodule.exports = parseKeys\n\nfunction parseKeys (buffer) {\n  var password\n  if (typeof buffer === 'object' && !Buffer.isBuffer(buffer)) {\n    password = buffer.passphrase\n    buffer = buffer.key\n  }\n  if (typeof buffer === 'string') {\n    buffer = Buffer.from(buffer)\n  }\n\n  var stripped = fixProc(buffer, password)\n\n  var type = stripped.tag\n  var data = stripped.data\n  var subtype, ndata\n  switch (type) {\n    case 'CERTIFICATE':\n      ndata = asn1.certificate.decode(data, 'der').tbsCertificate.subjectPublicKeyInfo\n      // falls through\n    case 'PUBLIC KEY':\n      if (!ndata) {\n        ndata = asn1.PublicKey.decode(data, 'der')\n      }\n      subtype = ndata.algorithm.algorithm.join('.')\n      switch (subtype) {\n        case '1.2.840.113549.1.1.1':\n          return asn1.RSAPublicKey.decode(ndata.subjectPublicKey.data, 'der')\n        case '1.2.840.10045.2.1':\n          ndata.subjectPrivateKey = ndata.subjectPublicKey\n          return {\n            type: 'ec',\n            data: ndata\n          }\n        case '1.2.840.10040.4.1':\n          ndata.algorithm.params.pub_key = asn1.DSAparam.decode(ndata.subjectPublicKey.data, 'der')\n          return {\n            type: 'dsa',\n            data: ndata.algorithm.params\n          }\n        default: throw new Error('unknown key id ' + subtype)\n      }\n      throw new Error('unknown key type ' + type)\n    case 'ENCRYPTED PRIVATE KEY':\n      data = asn1.EncryptedPrivateKey.decode(data, 'der')\n      data = decrypt(data, password)\n      // falls through\n    case 'PRIVATE KEY':\n      ndata = asn1.PrivateKey.decode(data, 'der')\n      subtype = ndata.algorithm.algorithm.join('.')\n      switch (subtype) {\n        case '1.2.840.113549.1.1.1':\n          return asn1.RSAPrivateKey.decode(ndata.subjectPrivateKey, 'der')\n        case '1.2.840.10045.2.1':\n          return {\n            curve: ndata.algorithm.curve,\n            privateKey: asn1.ECPrivateKey.decode(ndata.subjectPrivateKey, 'der').privateKey\n          }\n        case '1.2.840.10040.4.1':\n          ndata.algorithm.params.priv_key = asn1.DSAparam.decode(ndata.subjectPrivateKey, 'der')\n          return {\n            type: 'dsa',\n            params: ndata.algorithm.params\n          }\n        default: throw new Error('unknown key id ' + subtype)\n      }\n      throw new Error('unknown key type ' + type)\n    case 'RSA PUBLIC KEY':\n      return asn1.RSAPublicKey.decode(data, 'der')\n    case 'RSA PRIVATE KEY':\n      return asn1.RSAPrivateKey.decode(data, 'der')\n    case 'DSA PRIVATE KEY':\n      return {\n        type: 'dsa',\n        params: asn1.DSAPrivateKey.decode(data, 'der')\n      }\n    case 'EC PRIVATE KEY':\n      data = asn1.ECPrivateKey.decode(data, 'der')\n      return {\n        curve: data.parameters.value,\n        privateKey: data.privateKey\n      }\n    default: throw new Error('unknown key type ' + type)\n  }\n}\nparseKeys.signature = asn1.signature\nfunction decrypt (data, password) {\n  var salt = data.algorithm.decrypt.kde.kdeparams.salt\n  var iters = parseInt(data.algorithm.decrypt.kde.kdeparams.iters.toString(), 10)\n  var algo = aesid[data.algorithm.decrypt.cipher.algo.join('.')]\n  var iv = data.algorithm.decrypt.cipher.iv\n  var cipherText = data.subjectPrivateKey\n  var keylen = parseInt(algo.split('-')[1], 10) / 8\n  var key = compat.pbkdf2Sync(password, salt, iters, keylen, 'sha1')\n  var cipher = ciphers.createDecipheriv(algo, key, iv)\n  var out = []\n  out.push(cipher.update(cipherText))\n  out.push(cipher.final())\n  return Buffer.concat(out)\n}\n","'use strict';\n\nvar curve = exports;\n\ncurve.base = require('./base');\ncurve.short = require('./short');\ncurve.mont = require('./mont');\ncurve.edwards = require('./edwards');\n","var Buffer = require('safe-buffer').Buffer\nvar MD5 = require('md5.js')\n\n/* eslint-disable camelcase */\nfunction EVP_BytesToKey (password, salt, keyBits, ivLen) {\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, 'binary')\n  if (salt) {\n    if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, 'binary')\n    if (salt.length !== 8) throw new RangeError('salt should be Buffer with 8 byte length')\n  }\n\n  var keyLen = keyBits / 8\n  var key = Buffer.alloc(keyLen)\n  var iv = Buffer.alloc(ivLen || 0)\n  var tmp = Buffer.alloc(0)\n\n  while (keyLen > 0 || ivLen > 0) {\n    var hash = new MD5()\n    hash.update(tmp)\n    hash.update(password)\n    if (salt) hash.update(salt)\n    tmp = hash.digest()\n\n    var used = 0\n\n    if (keyLen > 0) {\n      var keyStart = key.length - keyLen\n      used = Math.min(keyLen, tmp.length)\n      tmp.copy(key, keyStart, 0, used)\n      keyLen -= used\n    }\n\n    if (used < tmp.length && ivLen > 0) {\n      var ivStart = iv.length - ivLen\n      var length = Math.min(ivLen, tmp.length - used)\n      tmp.copy(iv, ivStart, used, used + length)\n      ivLen -= length\n    }\n  }\n\n  tmp.fill(0)\n  return { key: key, iv: iv }\n}\n\nmodule.exports = EVP_BytesToKey\n","// based on the aes implimentation in triple sec\n// https://github.com/keybase/triplesec\n// which is in turn based on the one from crypto-js\n// https://code.google.com/p/crypto-js/\n\nvar Buffer = require('safe-buffer').Buffer\n\nfunction asUInt32Array (buf) {\n  if (!Buffer.isBuffer(buf)) buf = Buffer.from(buf)\n\n  var len = (buf.length / 4) | 0\n  var out = new Array(len)\n\n  for (var i = 0; i < len; i++) {\n    out[i] = buf.readUInt32BE(i * 4)\n  }\n\n  return out\n}\n\nfunction scrubVec (v) {\n  for (var i = 0; i < v.length; v++) {\n    v[i] = 0\n  }\n}\n\nfunction cryptBlock (M, keySchedule, SUB_MIX, SBOX, nRounds) {\n  var SUB_MIX0 = SUB_MIX[0]\n  var SUB_MIX1 = SUB_MIX[1]\n  var SUB_MIX2 = SUB_MIX[2]\n  var SUB_MIX3 = SUB_MIX[3]\n\n  var s0 = M[0] ^ keySchedule[0]\n  var s1 = M[1] ^ keySchedule[1]\n  var s2 = M[2] ^ keySchedule[2]\n  var s3 = M[3] ^ keySchedule[3]\n  var t0, t1, t2, t3\n  var ksRow = 4\n\n  for (var round = 1; round < nRounds; round++) {\n    t0 = SUB_MIX0[s0 >>> 24] ^ SUB_MIX1[(s1 >>> 16) & 0xff] ^ SUB_MIX2[(s2 >>> 8) & 0xff] ^ SUB_MIX3[s3 & 0xff] ^ keySchedule[ksRow++]\n    t1 = SUB_MIX0[s1 >>> 24] ^ SUB_MIX1[(s2 >>> 16) & 0xff] ^ SUB_MIX2[(s3 >>> 8) & 0xff] ^ SUB_MIX3[s0 & 0xff] ^ keySchedule[ksRow++]\n    t2 = SUB_MIX0[s2 >>> 24] ^ SUB_MIX1[(s3 >>> 16) & 0xff] ^ SUB_MIX2[(s0 >>> 8) & 0xff] ^ SUB_MIX3[s1 & 0xff] ^ keySchedule[ksRow++]\n    t3 = SUB_MIX0[s3 >>> 24] ^ SUB_MIX1[(s0 >>> 16) & 0xff] ^ SUB_MIX2[(s1 >>> 8) & 0xff] ^ SUB_MIX3[s2 & 0xff] ^ keySchedule[ksRow++]\n    s0 = t0\n    s1 = t1\n    s2 = t2\n    s3 = t3\n  }\n\n  t0 = ((SBOX[s0 >>> 24] << 24) | (SBOX[(s1 >>> 16) & 0xff] << 16) | (SBOX[(s2 >>> 8) & 0xff] << 8) | SBOX[s3 & 0xff]) ^ keySchedule[ksRow++]\n  t1 = ((SBOX[s1 >>> 24] << 24) | (SBOX[(s2 >>> 16) & 0xff] << 16) | (SBOX[(s3 >>> 8) & 0xff] << 8) | SBOX[s0 & 0xff]) ^ keySchedule[ksRow++]\n  t2 = ((SBOX[s2 >>> 24] << 24) | (SBOX[(s3 >>> 16) & 0xff] << 16) | (SBOX[(s0 >>> 8) & 0xff] << 8) | SBOX[s1 & 0xff]) ^ keySchedule[ksRow++]\n  t3 = ((SBOX[s3 >>> 24] << 24) | (SBOX[(s0 >>> 16) & 0xff] << 16) | (SBOX[(s1 >>> 8) & 0xff] << 8) | SBOX[s2 & 0xff]) ^ keySchedule[ksRow++]\n  t0 = t0 >>> 0\n  t1 = t1 >>> 0\n  t2 = t2 >>> 0\n  t3 = t3 >>> 0\n\n  return [t0, t1, t2, t3]\n}\n\n// AES constants\nvar RCON = [0x00, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36]\nvar G = (function () {\n  // Compute double table\n  var d = new Array(256)\n  for (var j = 0; j < 256; j++) {\n    if (j < 128) {\n      d[j] = j << 1\n    } else {\n      d[j] = (j << 1) ^ 0x11b\n    }\n  }\n\n  var SBOX = []\n  var INV_SBOX = []\n  var SUB_MIX = [[], [], [], []]\n  var INV_SUB_MIX = [[], [], [], []]\n\n  // Walk GF(2^8)\n  var x = 0\n  var xi = 0\n  for (var i = 0; i < 256; ++i) {\n    // Compute sbox\n    var sx = xi ^ (xi << 1) ^ (xi << 2) ^ (xi << 3) ^ (xi << 4)\n    sx = (sx >>> 8) ^ (sx & 0xff) ^ 0x63\n    SBOX[x] = sx\n    INV_SBOX[sx] = x\n\n    // Compute multiplication\n    var x2 = d[x]\n    var x4 = d[x2]\n    var x8 = d[x4]\n\n    // Compute sub bytes, mix columns tables\n    var t = (d[sx] * 0x101) ^ (sx * 0x1010100)\n    SUB_MIX[0][x] = (t << 24) | (t >>> 8)\n    SUB_MIX[1][x] = (t << 16) | (t >>> 16)\n    SUB_MIX[2][x] = (t << 8) | (t >>> 24)\n    SUB_MIX[3][x] = t\n\n    // Compute inv sub bytes, inv mix columns tables\n    t = (x8 * 0x1010101) ^ (x4 * 0x10001) ^ (x2 * 0x101) ^ (x * 0x1010100)\n    INV_SUB_MIX[0][sx] = (t << 24) | (t >>> 8)\n    INV_SUB_MIX[1][sx] = (t << 16) | (t >>> 16)\n    INV_SUB_MIX[2][sx] = (t << 8) | (t >>> 24)\n    INV_SUB_MIX[3][sx] = t\n\n    if (x === 0) {\n      x = xi = 1\n    } else {\n      x = x2 ^ d[d[d[x8 ^ x2]]]\n      xi ^= d[d[xi]]\n    }\n  }\n\n  return {\n    SBOX: SBOX,\n    INV_SBOX: INV_SBOX,\n    SUB_MIX: SUB_MIX,\n    INV_SUB_MIX: INV_SUB_MIX\n  }\n})()\n\nfunction AES (key) {\n  this._key = asUInt32Array(key)\n  this._reset()\n}\n\nAES.blockSize = 4 * 4\nAES.keySize = 256 / 8\nAES.prototype.blockSize = AES.blockSize\nAES.prototype.keySize = AES.keySize\nAES.prototype._reset = function () {\n  var keyWords = this._key\n  var keySize = keyWords.length\n  var nRounds = keySize + 6\n  var ksRows = (nRounds + 1) * 4\n\n  var keySchedule = []\n  for (var k = 0; k < keySize; k++) {\n    keySchedule[k] = keyWords[k]\n  }\n\n  for (k = keySize; k < ksRows; k++) {\n    var t = keySchedule[k - 1]\n\n    if (k % keySize === 0) {\n      t = (t << 8) | (t >>> 24)\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n\n      t ^= RCON[(k / keySize) | 0] << 24\n    } else if (keySize > 6 && k % keySize === 4) {\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n    }\n\n    keySchedule[k] = keySchedule[k - keySize] ^ t\n  }\n\n  var invKeySchedule = []\n  for (var ik = 0; ik < ksRows; ik++) {\n    var ksR = ksRows - ik\n    var tt = keySchedule[ksR - (ik % 4 ? 0 : 4)]\n\n    if (ik < 4 || ksR <= 4) {\n      invKeySchedule[ik] = tt\n    } else {\n      invKeySchedule[ik] =\n        G.INV_SUB_MIX[0][G.SBOX[tt >>> 24]] ^\n        G.INV_SUB_MIX[1][G.SBOX[(tt >>> 16) & 0xff]] ^\n        G.INV_SUB_MIX[2][G.SBOX[(tt >>> 8) & 0xff]] ^\n        G.INV_SUB_MIX[3][G.SBOX[tt & 0xff]]\n    }\n  }\n\n  this._nRounds = nRounds\n  this._keySchedule = keySchedule\n  this._invKeySchedule = invKeySchedule\n}\n\nAES.prototype.encryptBlockRaw = function (M) {\n  M = asUInt32Array(M)\n  return cryptBlock(M, this._keySchedule, G.SUB_MIX, G.SBOX, this._nRounds)\n}\n\nAES.prototype.encryptBlock = function (M) {\n  var out = this.encryptBlockRaw(M)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[1], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[3], 12)\n  return buf\n}\n\nAES.prototype.decryptBlock = function (M) {\n  M = asUInt32Array(M)\n\n  // swap\n  var m1 = M[1]\n  M[1] = M[3]\n  M[3] = m1\n\n  var out = cryptBlock(M, this._invKeySchedule, G.INV_SUB_MIX, G.INV_SBOX, this._nRounds)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[3], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[1], 12)\n  return buf\n}\n\nAES.prototype.scrub = function () {\n  scrubVec(this._keySchedule)\n  scrubVec(this._invKeySchedule)\n  scrubVec(this._key)\n}\n\nmodule.exports.AES = AES\n","'use strict';\n\nif (!process.version ||\n    process.version.indexOf('v0.') === 0 ||\n    process.version.indexOf('v1.') === 0 && process.version.indexOf('v1.8.') !== 0) {\n  module.exports = { nextTick: nextTick };\n} else {\n  module.exports = process\n}\n\nfunction nextTick(fn, arg1, arg2, arg3) {\n  if (typeof fn !== 'function') {\n    throw new TypeError('\"callback\" argument must be a function');\n  }\n  var len = arguments.length;\n  var args, i;\n  switch (len) {\n  case 0:\n  case 1:\n    return process.nextTick(fn);\n  case 2:\n    return process.nextTick(function afterTickOne() {\n      fn.call(null, arg1);\n    });\n  case 3:\n    return process.nextTick(function afterTickTwo() {\n      fn.call(null, arg1, arg2);\n    });\n  case 4:\n    return process.nextTick(function afterTickThree() {\n      fn.call(null, arg1, arg2, arg3);\n    });\n  default:\n    args = new Array(len - 1);\n    i = 0;\n    while (i < args.length) {\n      args[i++] = arguments[i];\n    }\n    return process.nextTick(function afterTick() {\n      fn.apply(null, args);\n    });\n  }\n}\n\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\nvar R = typeof Reflect === 'object' ? Reflect : null\nvar ReflectApply = R && typeof R.apply === 'function'\n  ? R.apply\n  : function ReflectApply(target, receiver, args) {\n    return Function.prototype.apply.call(target, receiver, args);\n  }\n\nvar ReflectOwnKeys\nif (R && typeof R.ownKeys === 'function') {\n  ReflectOwnKeys = R.ownKeys\n} else if (Object.getOwnPropertySymbols) {\n  ReflectOwnKeys = function ReflectOwnKeys(target) {\n    return Object.getOwnPropertyNames(target)\n      .concat(Object.getOwnPropertySymbols(target));\n  };\n} else {\n  ReflectOwnKeys = function ReflectOwnKeys(target) {\n    return Object.getOwnPropertyNames(target);\n  };\n}\n\nfunction ProcessEmitWarning(warning) {\n  if (console && console.warn) console.warn(warning);\n}\n\nvar NumberIsNaN = Number.isNaN || function NumberIsNaN(value) {\n  return value !== value;\n}\n\nfunction EventEmitter() {\n  EventEmitter.init.call(this);\n}\nmodule.exports = EventEmitter;\n\n// Backwards-compat with node 0.10.x\nEventEmitter.EventEmitter = EventEmitter;\n\nEventEmitter.prototype._events = undefined;\nEventEmitter.prototype._eventsCount = 0;\nEventEmitter.prototype._maxListeners = undefined;\n\n// By default EventEmitters will print a warning if more than 10 listeners are\n// added to it. This is a useful default which helps finding memory leaks.\nvar defaultMaxListeners = 10;\n\nObject.defineProperty(EventEmitter, 'defaultMaxListeners', {\n  enumerable: true,\n  get: function() {\n    return defaultMaxListeners;\n  },\n  set: function(arg) {\n    if (typeof arg !== 'number' || arg < 0 || NumberIsNaN(arg)) {\n      throw new RangeError('The value of \"defaultMaxListeners\" is out of range. It must be a non-negative number. Received ' + arg + '.');\n    }\n    defaultMaxListeners = arg;\n  }\n});\n\nEventEmitter.init = function() {\n\n  if (this._events === undefined ||\n      this._events === Object.getPrototypeOf(this)._events) {\n    this._events = Object.create(null);\n    this._eventsCount = 0;\n  }\n\n  this._maxListeners = this._maxListeners || undefined;\n};\n\n// Obviously not all Emitters should be limited to 10. This function allows\n// that to be increased. Set to zero for unlimited.\nEventEmitter.prototype.setMaxListeners = function setMaxListeners(n) {\n  if (typeof n !== 'number' || n < 0 || NumberIsNaN(n)) {\n    throw new RangeError('The value of \"n\" is out of range. It must be a non-negative number. Received ' + n + '.');\n  }\n  this._maxListeners = n;\n  return this;\n};\n\nfunction $getMaxListeners(that) {\n  if (that._maxListeners === undefined)\n    return EventEmitter.defaultMaxListeners;\n  return that._maxListeners;\n}\n\nEventEmitter.prototype.getMaxListeners = function getMaxListeners() {\n  return $getMaxListeners(this);\n};\n\nEventEmitter.prototype.emit = function emit(type) {\n  var args = [];\n  for (var i = 1; i < arguments.length; i++) args.push(arguments[i]);\n  var doError = (type === 'error');\n\n  var events = this._events;\n  if (events !== undefined)\n    doError = (doError && events.error === undefined);\n  else if (!doError)\n    return false;\n\n  // If there is no 'error' event listener then throw.\n  if (doError) {\n    var er;\n    if (args.length > 0)\n      er = args[0];\n    if (er instanceof Error) {\n      // Note: The comments on the `throw` lines are intentional, they show\n      // up in Node's output if this results in an unhandled exception.\n      throw er; // Unhandled 'error' event\n    }\n    // At least give some kind of context to the user\n    var err = new Error('Unhandled error.' + (er ? ' (' + er.message + ')' : ''));\n    err.context = er;\n    throw err; // Unhandled 'error' event\n  }\n\n  var handler = events[type];\n\n  if (handler === undefined)\n    return false;\n\n  if (typeof handler === 'function') {\n    ReflectApply(handler, this, args);\n  } else {\n    var len = handler.length;\n    var listeners = arrayClone(handler, len);\n    for (var i = 0; i < len; ++i)\n      ReflectApply(listeners[i], this, args);\n  }\n\n  return true;\n};\n\nfunction _addListener(target, type, listener, prepend) {\n  var m;\n  var events;\n  var existing;\n\n  if (typeof listener !== 'function') {\n    throw new TypeError('The \"listener\" argument must be of type Function. Received type ' + typeof listener);\n  }\n\n  events = target._events;\n  if (events === undefined) {\n    events = target._events = Object.create(null);\n    target._eventsCount = 0;\n  } else {\n    // To avoid recursion in the case that type === \"newListener\"! Before\n    // adding it to the listeners, first emit \"newListener\".\n    if (events.newListener !== undefined) {\n      target.emit('newListener', type,\n                  listener.listener ? listener.listener : listener);\n\n      // Re-assign `events` because a newListener handler could have caused the\n      // this._events to be assigned to a new object\n      events = target._events;\n    }\n    existing = events[type];\n  }\n\n  if (existing === undefined) {\n    // Optimize the case of one listener. Don't need the extra array object.\n    existing = events[type] = listener;\n    ++target._eventsCount;\n  } else {\n    if (typeof existing === 'function') {\n      // Adding the second element, need to change to array.\n      existing = events[type] =\n        prepend ? [listener, existing] : [existing, listener];\n      // If we've already got an array, just append.\n    } else if (prepend) {\n      existing.unshift(listener);\n    } else {\n      existing.push(listener);\n    }\n\n    // Check for listener leak\n    m = $getMaxListeners(target);\n    if (m > 0 && existing.length > m && !existing.warned) {\n      existing.warned = true;\n      // No error code for this since it is a Warning\n      // eslint-disable-next-line no-restricted-syntax\n      var w = new Error('Possible EventEmitter memory leak detected. ' +\n                          existing.length + ' ' + String(type) + ' listeners ' +\n                          'added. Use emitter.setMaxListeners() to ' +\n                          'increase limit');\n      w.name = 'MaxListenersExceededWarning';\n      w.emitter = target;\n      w.type = type;\n      w.count = existing.length;\n      ProcessEmitWarning(w);\n    }\n  }\n\n  return target;\n}\n\nEventEmitter.prototype.addListener = function addListener(type, listener) {\n  return _addListener(this, type, listener, false);\n};\n\nEventEmitter.prototype.on = EventEmitter.prototype.addListener;\n\nEventEmitter.prototype.prependListener =\n    function prependListener(type, listener) {\n      return _addListener(this, type, listener, true);\n    };\n\nfunction onceWrapper() {\n  var args = [];\n  for (var i = 0; i < arguments.length; i++) args.push(arguments[i]);\n  if (!this.fired) {\n    this.target.removeListener(this.type, this.wrapFn);\n    this.fired = true;\n    ReflectApply(this.listener, this.target, args);\n  }\n}\n\nfunction _onceWrap(target, type, listener) {\n  var state = { fired: false, wrapFn: undefined, target: target, type: type, listener: listener };\n  var wrapped = onceWrapper.bind(state);\n  wrapped.listener = listener;\n  state.wrapFn = wrapped;\n  return wrapped;\n}\n\nEventEmitter.prototype.once = function once(type, listener) {\n  if (typeof listener !== 'function') {\n    throw new TypeError('The \"listener\" argument must be of type Function. Received type ' + typeof listener);\n  }\n  this.on(type, _onceWrap(this, type, listener));\n  return this;\n};\n\nEventEmitter.prototype.prependOnceListener =\n    function prependOnceListener(type, listener) {\n      if (typeof listener !== 'function') {\n        throw new TypeError('The \"listener\" argument must be of type Function. Received type ' + typeof listener);\n      }\n      this.prependListener(type, _onceWrap(this, type, listener));\n      return this;\n    };\n\n// Emits a 'removeListener' event if and only if the listener was removed.\nEventEmitter.prototype.removeListener =\n    function removeListener(type, listener) {\n      var list, events, position, i, originalListener;\n\n      if (typeof listener !== 'function') {\n        throw new TypeError('The \"listener\" argument must be of type Function. Received type ' + typeof listener);\n      }\n\n      events = this._events;\n      if (events === undefined)\n        return this;\n\n      list = events[type];\n      if (list === undefined)\n        return this;\n\n      if (list === listener || list.listener === listener) {\n        if (--this._eventsCount === 0)\n          this._events = Object.create(null);\n        else {\n          delete events[type];\n          if (events.removeListener)\n            this.emit('removeListener', type, list.listener || listener);\n        }\n      } else if (typeof list !== 'function') {\n        position = -1;\n\n        for (i = list.length - 1; i >= 0; i--) {\n          if (list[i] === listener || list[i].listener === listener) {\n            originalListener = list[i].listener;\n            position = i;\n            break;\n          }\n        }\n\n        if (position < 0)\n          return this;\n\n        if (position === 0)\n          list.shift();\n        else {\n          spliceOne(list, position);\n        }\n\n        if (list.length === 1)\n          events[type] = list[0];\n\n        if (events.removeListener !== undefined)\n          this.emit('removeListener', type, originalListener || listener);\n      }\n\n      return this;\n    };\n\nEventEmitter.prototype.off = EventEmitter.prototype.removeListener;\n\nEventEmitter.prototype.removeAllListeners =\n    function removeAllListeners(type) {\n      var listeners, events, i;\n\n      events = this._events;\n      if (events === undefined)\n        return this;\n\n      // not listening for removeListener, no need to emit\n      if (events.removeListener === undefined) {\n        if (arguments.length === 0) {\n          this._events = Object.create(null);\n          this._eventsCount = 0;\n        } else if (events[type] !== undefined) {\n          if (--this._eventsCount === 0)\n            this._events = Object.create(null);\n          else\n            delete events[type];\n        }\n        return this;\n      }\n\n      // emit removeListener for all listeners on all events\n      if (arguments.length === 0) {\n        var keys = Object.keys(events);\n        var key;\n        for (i = 0; i < keys.length; ++i) {\n          key = keys[i];\n          if (key === 'removeListener') continue;\n          this.removeAllListeners(key);\n        }\n        this.removeAllListeners('removeListener');\n        this._events = Object.create(null);\n        this._eventsCount = 0;\n        return this;\n      }\n\n      listeners = events[type];\n\n      if (typeof listeners === 'function') {\n        this.removeListener(type, listeners);\n      } else if (listeners !== undefined) {\n        // LIFO order\n        for (i = listeners.length - 1; i >= 0; i--) {\n          this.removeListener(type, listeners[i]);\n        }\n      }\n\n      return this;\n    };\n\nfunction _listeners(target, type, unwrap) {\n  var events = target._events;\n\n  if (events === undefined)\n    return [];\n\n  var evlistener = events[type];\n  if (evlistener === undefined)\n    return [];\n\n  if (typeof evlistener === 'function')\n    return unwrap ? [evlistener.listener || evlistener] : [evlistener];\n\n  return unwrap ?\n    unwrapListeners(evlistener) : arrayClone(evlistener, evlistener.length);\n}\n\nEventEmitter.prototype.listeners = function listeners(type) {\n  return _listeners(this, type, true);\n};\n\nEventEmitter.prototype.rawListeners = function rawListeners(type) {\n  return _listeners(this, type, false);\n};\n\nEventEmitter.listenerCount = function(emitter, type) {\n  if (typeof emitter.listenerCount === 'function') {\n    return emitter.listenerCount(type);\n  } else {\n    return listenerCount.call(emitter, type);\n  }\n};\n\nEventEmitter.prototype.listenerCount = listenerCount;\nfunction listenerCount(type) {\n  var events = this._events;\n\n  if (events !== undefined) {\n    var evlistener = events[type];\n\n    if (typeof evlistener === 'function') {\n      return 1;\n    } else if (evlistener !== undefined) {\n      return evlistener.length;\n    }\n  }\n\n  return 0;\n}\n\nEventEmitter.prototype.eventNames = function eventNames() {\n  return this._eventsCount > 0 ? ReflectOwnKeys(this._events) : [];\n};\n\nfunction arrayClone(arr, n) {\n  var copy = new Array(n);\n  for (var i = 0; i < n; ++i)\n    copy[i] = arr[i];\n  return copy;\n}\n\nfunction spliceOne(list, index) {\n  for (; index + 1 < list.length; index++)\n    list[index] = list[index + 1];\n  list.pop();\n}\n\nfunction unwrapListeners(arr) {\n  var ret = new Array(arr.length);\n  for (var i = 0; i < ret.length; ++i) {\n    ret[i] = arr[i].listener || arr[i];\n  }\n  return ret;\n}\n","var id = 0;\nvar px = Math.random();\nmodule.exports = function (key) {\n  return 'Symbol('.concat(key === undefined ? '' : key, ')_', (++id + px).toString(36));\n};\n","// 7.1.15 ToLength\nvar toInteger = require('./_to-integer');\nvar min = Math.min;\nmodule.exports = function (it) {\n  return it > 0 ? min(toInteger(it), 0x1fffffffffffff) : 0; // pow(2, 53) - 1 == 9007199254740991\n};\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar ctx = require('./_ctx');\nvar forOf = require('./_for-of');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { from: function from(source /* , mapFn, thisArg */) {\n    var mapFn = arguments[1];\n    var mapping, A, n, cb;\n    aFunction(this);\n    mapping = mapFn !== undefined;\n    if (mapping) aFunction(mapFn);\n    if (source == undefined) return new this();\n    A = [];\n    if (mapping) {\n      n = 0;\n      cb = ctx(mapFn, arguments[2], 2);\n      forOf(source, false, function (nextItem) {\n        A.push(cb(nextItem, n++));\n      });\n    } else {\n      forOf(source, false, A.push, A);\n    }\n    return new this(A);\n  } });\n};\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { of: function of() {\n    var length = arguments.length;\n    var A = new Array(length);\n    while (length--) A[length] = arguments[length];\n    return new this(A);\n  } });\n};\n","'use strict';\n// Forced replacement prototype accessors methods\nmodule.exports = require('./_library') || !require('./_fails')(function () {\n  var K = Math.random();\n  // In FF throws only define methods\n  // eslint-disable-next-line no-undef, no-useless-call\n  __defineSetter__.call(null, K, function () { /* empty */ });\n  delete require('./_global')[K];\n});\n","var global = require('./_global');\nvar hide = require('./_hide');\nvar uid = require('./_uid');\nvar TYPED = uid('typed_array');\nvar VIEW = uid('view');\nvar ABV = !!(global.ArrayBuffer && global.DataView);\nvar CONSTR = ABV;\nvar i = 0;\nvar l = 9;\nvar Typed;\n\nvar TypedArrayConstructors = (\n  'Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array'\n).split(',');\n\nwhile (i < l) {\n  if (Typed = global[TypedArrayConstructors[i++]]) {\n    hide(Typed.prototype, TYPED, true);\n    hide(Typed.prototype, VIEW, true);\n  } else CONSTR = false;\n}\n\nmodule.exports = {\n  ABV: ABV,\n  CONSTR: CONSTR,\n  TYPED: TYPED,\n  VIEW: VIEW\n};\n","'use strict';\nvar global = require('./_global');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar redefineAll = require('./_redefine-all');\nvar meta = require('./_meta');\nvar forOf = require('./_for-of');\nvar anInstance = require('./_an-instance');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar $iterDetect = require('./_iter-detect');\nvar setToStringTag = require('./_set-to-string-tag');\nvar inheritIfRequired = require('./_inherit-if-required');\n\nmodule.exports = function (NAME, wrapper, methods, common, IS_MAP, IS_WEAK) {\n  var Base = global[NAME];\n  var C = Base;\n  var ADDER = IS_MAP ? 'set' : 'add';\n  var proto = C && C.prototype;\n  var O = {};\n  var fixMethod = function (KEY) {\n    var fn = proto[KEY];\n    redefine(proto, KEY,\n      KEY == 'delete' ? function (a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'has' ? function has(a) {\n        return IS_WEAK && !isObject(a) ? false : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'get' ? function get(a) {\n        return IS_WEAK && !isObject(a) ? undefined : fn.call(this, a === 0 ? 0 : a);\n      } : KEY == 'add' ? function add(a) { fn.call(this, a === 0 ? 0 : a); return this; }\n        : function set(a, b) { fn.call(this, a === 0 ? 0 : a, b); return this; }\n    );\n  };\n  if (typeof C != 'function' || !(IS_WEAK || proto.forEach && !fails(function () {\n    new C().entries().next();\n  }))) {\n    // create collection constructor\n    C = common.getConstructor(wrapper, NAME, IS_MAP, ADDER);\n    redefineAll(C.prototype, methods);\n    meta.NEED = true;\n  } else {\n    var instance = new C();\n    // early implementations not supports chaining\n    var HASNT_CHAINING = instance[ADDER](IS_WEAK ? {} : -0, 1) != instance;\n    // V8 ~  Chromium 40- weak-collections throws on primitives, but should return false\n    var THROWS_ON_PRIMITIVES = fails(function () { instance.has(1); });\n    // most early implementations doesn't supports iterables, most modern - not close it correctly\n    var ACCEPT_ITERABLES = $iterDetect(function (iter) { new C(iter); }); // eslint-disable-line no-new\n    // for early implementations -0 and +0 not the same\n    var BUGGY_ZERO = !IS_WEAK && fails(function () {\n      // V8 ~ Chromium 42- fails only with 5+ elements\n      var $instance = new C();\n      var index = 5;\n      while (index--) $instance[ADDER](index, index);\n      return !$instance.has(-0);\n    });\n    if (!ACCEPT_ITERABLES) {\n      C = wrapper(function (target, iterable) {\n        anInstance(target, C, NAME);\n        var that = inheritIfRequired(new Base(), target, C);\n        if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n        return that;\n      });\n      C.prototype = proto;\n      proto.constructor = C;\n    }\n    if (THROWS_ON_PRIMITIVES || BUGGY_ZERO) {\n      fixMethod('delete');\n      fixMethod('has');\n      IS_MAP && fixMethod('get');\n    }\n    if (BUGGY_ZERO || HASNT_CHAINING) fixMethod(ADDER);\n    // weak collections should not contains .clear method\n    if (IS_WEAK && proto.clear) delete proto.clear;\n  }\n\n  setToStringTag(C, NAME);\n\n  O[NAME] = C;\n  $export($export.G + $export.W + $export.F * (C != Base), O);\n\n  if (!IS_WEAK) common.setStrong(C, NAME, IS_MAP);\n\n  return C;\n};\n","var global = require('./_global');\nvar navigator = global.navigator;\n\nmodule.exports = navigator && navigator.userAgent || '';\n","'use strict';\nrequire('./es6.regexp.exec');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar fails = require('./_fails');\nvar defined = require('./_defined');\nvar wks = require('./_wks');\nvar regexpExec = require('./_regexp-exec');\n\nvar SPECIES = wks('species');\n\nvar REPLACE_SUPPORTS_NAMED_GROUPS = !fails(function () {\n  // #replace needs built-in support for named groups.\n  // #match works fine because it just return the exec results, even if it has\n  // a \"grops\" property.\n  var re = /./;\n  re.exec = function () {\n    var result = [];\n    result.groups = { a: '7' };\n    return result;\n  };\n  return ''.replace(re, '$<a>') !== '7';\n});\n\nvar SPLIT_WORKS_WITH_OVERWRITTEN_EXEC = (function () {\n  // Chrome 51 has a buggy \"split\" implementation when RegExp#exec !== nativeExec\n  var re = /(?:)/;\n  var originalExec = re.exec;\n  re.exec = function () { return originalExec.apply(this, arguments); };\n  var result = 'ab'.split(re);\n  return result.length === 2 && result[0] === 'a' && result[1] === 'b';\n})();\n\nmodule.exports = function (KEY, length, exec) {\n  var SYMBOL = wks(KEY);\n\n  var DELEGATES_TO_SYMBOL = !fails(function () {\n    // String methods call symbol-named RegEp methods\n    var O = {};\n    O[SYMBOL] = function () { return 7; };\n    return ''[KEY](O) != 7;\n  });\n\n  var DELEGATES_TO_EXEC = DELEGATES_TO_SYMBOL ? !fails(function () {\n    // Symbol-named RegExp methods call .exec\n    var execCalled = false;\n    var re = /a/;\n    re.exec = function () { execCalled = true; return null; };\n    if (KEY === 'split') {\n      // RegExp[@@split] doesn't call the regex's exec method, but first creates\n      // a new one. We need to return the patched regex when creating the new one.\n      re.constructor = {};\n      re.constructor[SPECIES] = function () { return re; };\n    }\n    re[SYMBOL]('');\n    return !execCalled;\n  }) : undefined;\n\n  if (\n    !DELEGATES_TO_SYMBOL ||\n    !DELEGATES_TO_EXEC ||\n    (KEY === 'replace' && !REPLACE_SUPPORTS_NAMED_GROUPS) ||\n    (KEY === 'split' && !SPLIT_WORKS_WITH_OVERWRITTEN_EXEC)\n  ) {\n    var nativeRegExpMethod = /./[SYMBOL];\n    var fns = exec(\n      defined,\n      SYMBOL,\n      ''[KEY],\n      function maybeCallNative(nativeMethod, regexp, str, arg2, forceStringMethod) {\n        if (regexp.exec === regexpExec) {\n          if (DELEGATES_TO_SYMBOL && !forceStringMethod) {\n            // The native String method already delegates to @@method (this\n            // polyfilled function), leasing to infinite recursion.\n            // We avoid it by directly calling the native @@method method.\n            return { done: true, value: nativeRegExpMethod.call(regexp, str, arg2) };\n          }\n          return { done: true, value: nativeMethod.call(str, regexp, arg2) };\n        }\n        return { done: false };\n      }\n    );\n    var strfn = fns[0];\n    var rxfn = fns[1];\n\n    redefine(String.prototype, KEY, strfn);\n    hide(RegExp.prototype, SYMBOL, length == 2\n      // 21.2.5.8 RegExp.prototype[@@replace](string, replaceValue)\n      // 21.2.5.11 RegExp.prototype[@@split](string, limit)\n      ? function (string, arg) { return rxfn.call(string, this, arg); }\n      // 21.2.5.6 RegExp.prototype[@@match](string)\n      // 21.2.5.9 RegExp.prototype[@@search](string)\n      : function (string) { return rxfn.call(string, this); }\n    );\n  }\n};\n","'use strict';\n\nvar classof = require('./_classof');\nvar builtinExec = RegExp.prototype.exec;\n\n // `RegExpExec` abstract operation\n// https://tc39.github.io/ecma262/#sec-regexpexec\nmodule.exports = function (R, S) {\n  var exec = R.exec;\n  if (typeof exec === 'function') {\n    var result = exec.call(R, S);\n    if (typeof result !== 'object') {\n      throw new TypeError('RegExp exec method returned something other than an Object or null');\n    }\n    return result;\n  }\n  if (classof(R) !== 'RegExp') {\n    throw new TypeError('RegExp#exec called on incompatible receiver');\n  }\n  return builtinExec.call(R, S);\n};\n","var ITERATOR = require('./_wks')('iterator');\nvar SAFE_CLOSING = false;\n\ntry {\n  var riter = [7][ITERATOR]();\n  riter['return'] = function () { SAFE_CLOSING = true; };\n  // eslint-disable-next-line no-throw-literal\n  Array.from(riter, function () { throw 2; });\n} catch (e) { /* empty */ }\n\nmodule.exports = function (exec, skipClosing) {\n  if (!skipClosing && !SAFE_CLOSING) return false;\n  var safe = false;\n  try {\n    var arr = [7];\n    var iter = arr[ITERATOR]();\n    iter.next = function () { return { done: safe = true }; };\n    arr[ITERATOR] = function () { return iter; };\n    exec(arr);\n  } catch (e) { /* empty */ }\n  return safe;\n};\n","// 7.2.8 IsRegExp(argument)\nvar isObject = require('./_is-object');\nvar cof = require('./_cof');\nvar MATCH = require('./_wks')('match');\nmodule.exports = function (it) {\n  var isRegExp;\n  return isObject(it) && ((isRegExp = it[MATCH]) !== undefined ? !!isRegExp : cof(it) == 'RegExp');\n};\n","var toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n// true  -> String#at\n// false -> String#codePointAt\nmodule.exports = function (TO_STRING) {\n  return function (that, pos) {\n    var s = String(defined(that));\n    var i = toInteger(pos);\n    var l = s.length;\n    var a, b;\n    if (i < 0 || i >= l) return TO_STRING ? '' : undefined;\n    a = s.charCodeAt(i);\n    return a < 0xd800 || a > 0xdbff || i + 1 === l || (b = s.charCodeAt(i + 1)) < 0xdc00 || b > 0xdfff\n      ? TO_STRING ? s.charAt(i) : a\n      : TO_STRING ? s.slice(i, i + 2) : (a - 0xd800 << 10) + (b - 0xdc00) + 0x10000;\n  };\n};\n","// 7.2.2 IsArray(argument)\nvar cof = require('./_cof');\nmodule.exports = Array.isArray || function isArray(arg) {\n  return cof(arg) == 'Array';\n};\n","exports.f = Object.getOwnPropertySymbols;\n","// false -> Array#indexOf\n// true  -> Array#includes\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nmodule.exports = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIObject($this);\n    var length = toLength(O.length);\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare\n    if (IS_INCLUDES && el != el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare\n      if (value != value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) if (IS_INCLUDES || index in O) {\n      if (O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n","var core = require('./_core');\nvar global = require('./_global');\nvar SHARED = '__core-js_shared__';\nvar store = global[SHARED] || (global[SHARED] = {});\n\n(module.exports = function (key, value) {\n  return store[key] || (store[key] = value !== undefined ? value : {});\n})('versions', []).push({\n  version: core.version,\n  mode: require('./_library') ? 'pure' : 'global',\n  copyright: '© 2019 Denis Pushkarev (zloirock.ru)'\n});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{concat,slice,stack,tensor,tidy,unstack,util,io,Tensor,add,addN,mod,mul,div,floorDiv,sub,minimum,maximum,pow,squaredDifference,abs,acos,acosh,asin,asinh,atan,atan2,atanh,ceil,cos,cosh,elu,erf,exp,expm1,floor,log,log1p,neg,reciprocal,relu,round,selu,sigmoid,sin,sign,sinh,softplus,sqrt,square,tanh,tan,clipByValue,scalar,prod,leakyRelu,conv1d,conv2d,conv2dTranspose,depthwiseConv2d,avgPool,maxPool,fill,linspace,oneHot,ones,onesLike,randomUniform,range,truncatedNormal,zeros,zerosLike,image,whereAsync,setdiff1dAsync,topk,tensor1d,equal,notEqual,greater,greaterEqual,less,lessEqual,logicalAnd,logicalNot,logicalOr,where,matMul,transpose,batchNormalization,localResponseNormalization,softmax,logSoftmax,sparseToDense,max,mean,min,sum,all,any,argMax,argMin,gather,reverse,stridedSlice,tile,split,scatterND,gatherND,cast,expandDims,squeeze,reshape,pad,spaceToBatchND,batchToSpaceND,depthToSpace}from\"@tensorflow/tfjs-core\";var __assign=Object.assign||function(e){for(var t,a=1,r=arguments.length;a<r;a++)for(var n in t=arguments[a])Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e};function __awaiter(e,t,a,r){return new(a||(a=Promise))(function(n,o){function s(e){try{p(r.next(e))}catch(e){o(e)}}function i(e){try{p(r.throw(e))}catch(e){o(e)}}function p(e){e.done?n(e.value):new a(function(t){t(e.value)}).then(s,i)}p((r=r.apply(e,t||[])).next())})}function __generator(e,t){var a,r,n,o,s={label:0,sent:function(){if(1&n[0])throw n[1];return n[1]},trys:[],ops:[]};return o={next:i(0),throw:i(1),return:i(2)},\"function\"==typeof Symbol&&(o[Symbol.iterator]=function(){return this}),o;function i(o){return function(i){return function(o){if(a)throw new TypeError(\"Generator is already executing.\");for(;s;)try{if(a=1,r&&(n=r[2&o[0]?\"return\":o[0]?\"throw\":\"next\"])&&!(n=n.call(r,o[1])).done)return n;switch(r=0,n&&(o=[0,n.value]),o[0]){case 0:case 1:n=o;break;case 4:return s.label++,{value:o[1],done:!1};case 5:s.label++,r=o[1],o=[0];continue;case 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s=r<0?1:0;if(s&&(r=-r),0===r)e(0,n,o+t),e(1/r>0?0:2147483648,n,o+a);else if(isNaN(r))e(0,n,o+t),e(2146959360,n,o+a);else if(r>1.7976931348623157e308)e(0,n,o+t),e((s<<31|2146435072)>>>0,n,o+a);else{var i;if(r<2.2250738585072014e-308)e((i=r/5e-324)>>>0,n,o+t),e((s<<31|i/4294967296)>>>0,n,o+a);else{var p=Math.floor(Math.log(r)/Math.LN2);1024===p&&(p=1023),e(4503599627370496*(i=r*Math.pow(2,-p))>>>0,n,o+t),e((s<<31|p+1023<<20|1048576*i&1048575)>>>0,n,o+a)}}}function a(e,t,a,r,n){var o=e(r,n+t),s=e(r,n+a),i=2*(s>>31)+1,p=s>>>20&2047,m=4294967296*(1048575&s)+o;return 2047===p?m?NaN:i*(1/0):0===p?5e-324*i*m:i*Math.pow(2,p-1075)*(m+4503599627370496)}e.writeDoubleLE=t.bind(null,writeUintLE,0,4),e.writeDoubleBE=t.bind(null,writeUintBE,4,0),e.readDoubleLE=a.bind(null,readUintLE,0,4),e.readDoubleBE=a.bind(null,readUintBE,4,0)}(),e}function writeUintLE(e,t,a){t[a]=255&e,t[a+1]=e>>>8&255,t[a+2]=e>>>16&255,t[a+3]=e>>>24}function writeUintBE(e,t,a){t[a]=e>>>24,t[a+1]=e>>>16&255,t[a+2]=e>>>8&255,t[a+3]=255&e}function readUintLE(e,t){return(e[t]|e[t+1]<<8|e[t+2]<<16|e[t+3]<<24)>>>0}function readUintBE(e,t){return(e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3])>>>0}var inquire_1=inquire;function inquire(moduleName){try{var mod$$1=eval(\"quire\".replace(/^/,\"re\"))(moduleName);if(mod$$1&&(mod$$1.length||Object.keys(mod$$1).length))return mod$$1}catch(e){}return null}var utf8_1=createCommonjsModule(function(e,t){var a=t;a.length=function(e){for(var t=0,a=0,r=0;r<e.length;++r)(a=e.charCodeAt(r))<128?t+=1:a<2048?t+=2:55296==(64512&a)&&56320==(64512&e.charCodeAt(r+1))?(++r,t+=4):t+=3;return t},a.read=function(e,t,a){if(a-t<1)return\"\";for(var r,n=null,o=[],s=0;t<a;)(r=e[t++])<128?o[s++]=r:r>191&&r<224?o[s++]=(31&r)<<6|63&e[t++]:r>239&&r<365?(r=((7&r)<<18|(63&e[t++])<<12|(63&e[t++])<<6|63&e[t++])-65536,o[s++]=55296+(r>>10),o[s++]=56320+(1023&r)):o[s++]=(15&r)<<12|(63&e[t++])<<6|63&e[t++],s>8191&&((n||(n=[])).push(String.fromCharCode.apply(String,o)),s=0);return n?(s&&n.push(String.fromCharCode.apply(String,o.slice(0,s))),n.join(\"\")):String.fromCharCode.apply(String,o.slice(0,s))},a.write=function(e,t,a){for(var r,n,o=a,s=0;s<e.length;++s)(r=e.charCodeAt(s))<128?t[a++]=r:r<2048?(t[a++]=r>>6|192,t[a++]=63&r|128):55296==(64512&r)&&56320==(64512&(n=e.charCodeAt(s+1)))?(r=65536+((1023&r)<<10)+(1023&n),++s,t[a++]=r>>18|240,t[a++]=r>>12&63|128,t[a++]=r>>6&63|128,t[a++]=63&r|128):(t[a++]=r>>12|224,t[a++]=r>>6&63|128,t[a++]=63&r|128);return a-o}}),pool_1=pool;function pool(e,t,a){var r=a||8192,n=r>>>1,o=null,s=r;return function(a){if(a<1||a>n)return e(a);s+a>r&&(o=e(r),s=0);var i=t.call(o,s,s+=a);return 7&s&&(s=1+(7|s)),i}}var longbits=LongBits;function LongBits(e,t){this.lo=e>>>0,this.hi=t>>>0}var zero=LongBits.zero=new LongBits(0,0);zero.toNumber=function(){return 0},zero.zzEncode=zero.zzDecode=function(){return this},zero.length=function(){return 1};var zeroHash=LongBits.zeroHash=\"\\0\\0\\0\\0\\0\\0\\0\\0\";LongBits.fromNumber=function(e){if(0===e)return zero;var t=e<0;t&&(e=-e);var a=e>>>0,r=(e-a)/4294967296>>>0;return t&&(r=~r>>>0,a=~a>>>0,++a>4294967295&&(a=0,++r>4294967295&&(r=0))),new LongBits(a,r)},LongBits.from=function(e){if(\"number\"==typeof e)return LongBits.fromNumber(e);if(minimal.isString(e)){if(!minimal.Long)return LongBits.fromNumber(parseInt(e,10));e=minimal.Long.fromString(e)}return e.low||e.high?new LongBits(e.low>>>0,e.high>>>0):zero},LongBits.prototype.toNumber=function(e){if(!e&&this.hi>>>31){var t=1+~this.lo>>>0,a=~this.hi>>>0;return t||(a=a+1>>>0),-(t+4294967296*a)}return this.lo+4294967296*this.hi},LongBits.prototype.toLong=function(e){return minimal.Long?new minimal.Long(0|this.lo,0|this.hi,Boolean(e)):{low:0|this.lo,high:0|this.hi,unsigned:Boolean(e)}};var charCodeAt=String.prototype.charCodeAt;LongBits.fromHash=function(e){return e===zeroHash?zero:new LongBits((charCodeAt.call(e,0)|charCodeAt.call(e,1)<<8|charCodeAt.call(e,2)<<16|charCodeAt.call(e,3)<<24)>>>0,(charCodeAt.call(e,4)|charCodeAt.call(e,5)<<8|charCodeAt.call(e,6)<<16|charCodeAt.call(e,7)<<24)>>>0)},LongBits.prototype.toHash=function(){return String.fromCharCode(255&this.lo,this.lo>>>8&255,this.lo>>>16&255,this.lo>>>24,255&this.hi,this.hi>>>8&255,this.hi>>>16&255,this.hi>>>24)},LongBits.prototype.zzEncode=function(){var e=this.hi>>31;return this.hi=((this.hi<<1|this.lo>>>31)^e)>>>0,this.lo=(this.lo<<1^e)>>>0,this},LongBits.prototype.zzDecode=function(){var e=-(1&this.lo);return this.lo=((this.lo>>>1|this.hi<<31)^e)>>>0,this.hi=(this.hi>>>1^e)>>>0,this},LongBits.prototype.length=function(){var e=this.lo,t=(this.lo>>>28|this.hi<<4)>>>0,a=this.hi>>>24;return 0===a?0===t?e<16384?e<128?1:2:e<2097152?3:4:t<16384?t<128?5:6:t<2097152?7:8:a<128?9:10};var minimal=createCommonjsModule(function(e,t){var a=t;function r(e,t,a){for(var r=Object.keys(t),n=0;n<r.length;++n)void 0!==e[r[n]]&&a||(e[r[n]]=t[r[n]]);return e}function n(e){function t(e,a){if(!(this instanceof t))return new t(e,a);Object.defineProperty(this,\"message\",{get:function(){return e}}),Error.captureStackTrace?Error.captureStackTrace(this,t):Object.defineProperty(this,\"stack\",{value:(new Error).stack||\"\"}),a&&r(this,a)}return(t.prototype=Object.create(Error.prototype)).constructor=t,Object.defineProperty(t.prototype,\"name\",{get:function(){return e}}),t.prototype.toString=function(){return this.name+\": 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e?a.Buffer?a._Buffer_allocUnsafe(e):new a.Array(e):a.Buffer?a._Buffer_from(e):\"undefined\"==typeof Uint8Array?e:new Uint8Array(e)},a.Array=\"undefined\"!=typeof Uint8Array?Uint8Array:Array,a.Long=commonjsGlobal.dcodeIO&&commonjsGlobal.dcodeIO.Long||a.inquire(\"long\"),a.key2Re=/^true|false|0|1$/,a.key32Re=/^-?(?:0|[1-9][0-9]*)$/,a.key64Re=/^(?:[\\\\x00-\\\\xff]{8}|-?(?:0|[1-9][0-9]*))$/,a.longToHash=function(e){return e?a.LongBits.from(e).toHash():a.LongBits.zeroHash},a.longFromHash=function(e,t){var r=a.LongBits.fromHash(e);return a.Long?a.Long.fromBits(r.lo,r.hi,t):r.toNumber(Boolean(t))},a.merge=r,a.lcFirst=function(e){return e.charAt(0).toLowerCase()+e.substring(1)},a.newError=n,a.ProtocolError=n(\"ProtocolError\"),a.oneOfGetter=function(e){for(var t={},a=0;a<e.length;++a)t[e[a]]=1;return function(){for(var e=Object.keys(this),a=e.length-1;a>-1;--a)if(1===t[e[a]]&&void 0!==this[e[a]]&&null!==this[e[a]])return e[a]}},a.oneOfSetter=function(e){return function(t){for(var a=0;a<e.length;++a)e[a]!==t&&delete this[e[a]]}},a.toJSONOptions={longs:String,enums:String,bytes:String,json:!0},a._configure=function(){var e=a.Buffer;e?(a._Buffer_from=e.from!==Uint8Array.from&&e.from||function(t,a){return new e(t,a)},a._Buffer_allocUnsafe=e.allocUnsafe||function(t){return new e(t)}):a._Buffer_from=a._Buffer_allocUnsafe=null}}),writer=Writer,BufferWriter,LongBits$1=minimal.LongBits,base64=minimal.base64,utf8=minimal.utf8;function Op(e,t,a){this.fn=e,this.len=t,this.next=void 0,this.val=a}function noop(){}function State(e){this.head=e.head,this.tail=e.tail,this.len=e.len,this.next=e.states}function Writer(){this.len=0,this.head=new Op(noop,0,0),this.tail=this.head,this.states=null}function writeByte(e,t,a){t[a]=255&e}function writeVarint32(e,t,a){for(;e>127;)t[a++]=127&e|128,e>>>=7;t[a]=e}function VarintOp(e,t){this.len=e,this.next=void 0,this.val=t}function writeVarint64(e,t,a){for(;e.hi;)t[a++]=127&e.lo|128,e.lo=(e.lo>>>7|e.hi<<25)>>>0,e.hi>>>=7;for(;e.lo>127;)t[a++]=127&e.lo|128,e.lo=e.lo>>>7;t[a++]=e.lo}function writeFixed32(e,t,a){t[a]=255&e,t[a+1]=e>>>8&255,t[a+2]=e>>>16&255,t[a+3]=e>>>24}Writer.create=minimal.Buffer?function(){return(Writer.create=function(){return new BufferWriter})()}:function(){return new Writer},Writer.alloc=function(e){return new minimal.Array(e)},minimal.Array!==Array&&(Writer.alloc=minimal.pool(Writer.alloc,minimal.Array.prototype.subarray)),Writer.prototype._push=function(e,t,a){return this.tail=this.tail.next=new Op(e,t,a),this.len+=t,this},VarintOp.prototype=Object.create(Op.prototype),VarintOp.prototype.fn=writeVarint32,Writer.prototype.uint32=function(e){return this.len+=(this.tail=this.tail.next=new VarintOp((e>>>=0)<128?1:e<16384?2:e<2097152?3:e<268435456?4:5,e)).len,this},Writer.prototype.int32=function(e){return e<0?this._push(writeVarint64,10,LongBits$1.fromNumber(e)):this.uint32(e)},Writer.prototype.sint32=function(e){return this.uint32((e<<1^e>>31)>>>0)},Writer.prototype.uint64=function(e){var t=LongBits$1.from(e);return this._push(writeVarint64,t.length(),t)},Writer.prototype.int64=Writer.prototype.uint64,Writer.prototype.sint64=function(e){var t=LongBits$1.from(e).zzEncode();return this._push(writeVarint64,t.length(),t)},Writer.prototype.bool=function(e){return this._push(writeByte,1,e?1:0)},Writer.prototype.fixed32=function(e){return this._push(writeFixed32,4,e>>>0)},Writer.prototype.sfixed32=Writer.prototype.fixed32,Writer.prototype.fixed64=function(e){var t=LongBits$1.from(e);return this._push(writeFixed32,4,t.lo)._push(writeFixed32,4,t.hi)},Writer.prototype.sfixed64=Writer.prototype.fixed64,Writer.prototype.float=function(e){return this._push(minimal.float.writeFloatLE,4,e)},Writer.prototype.double=function(e){return this._push(minimal.float.writeDoubleLE,8,e)};var writeBytes=minimal.Array.prototype.set?function(e,t,a){t.set(e,a)}:function(e,t,a){for(var r=0;r<e.length;++r)t[a+r]=e[r]};Writer.prototype.bytes=function(e){var t=e.length>>>0;if(!t)return this._push(writeByte,1,0);if(minimal.isString(e)){var a=Writer.alloc(t=base64.length(e));base64.decode(e,a,0),e=a}return this.uint32(t)._push(writeBytes,t,e)},Writer.prototype.string=function(e){var t=utf8.length(e);return t?this.uint32(t)._push(utf8.write,t,e):this._push(writeByte,1,0)},Writer.prototype.fork=function(){return this.states=new State(this),this.head=this.tail=new Op(noop,0,0),this.len=0,this},Writer.prototype.reset=function(){return this.states?(this.head=this.states.head,this.tail=this.states.tail,this.len=this.states.len,this.states=this.states.next):(this.head=this.tail=new Op(noop,0,0),this.len=0),this},Writer.prototype.ldelim=function(){var e=this.head,t=this.tail,a=this.len;return this.reset().uint32(a),a&&(this.tail.next=e.next,this.tail=t,this.len+=a),this},Writer.prototype.finish=function(){for(var e=this.head.next,t=this.constructor.alloc(this.len),a=0;e;)e.fn(e.val,t,a),a+=e.len,e=e.next;return t},Writer._configure=function(e){BufferWriter=e};var writer_buffer=BufferWriter$1;(BufferWriter$1.prototype=Object.create(writer.prototype)).constructor=BufferWriter$1;var Buffer=minimal.Buffer;function BufferWriter$1(){writer.call(this)}BufferWriter$1.alloc=function(e){return(BufferWriter$1.alloc=minimal._Buffer_allocUnsafe)(e)};var writeBytesBuffer=Buffer&&Buffer.prototype instanceof Uint8Array&&\"set\"===Buffer.prototype.set.name?function(e,t,a){t.set(e,a)}:function(e,t,a){if(e.copy)e.copy(t,a,0,e.length);else for(var r=0;r<e.length;)t[a++]=e[r++]};function writeStringBuffer(e,t,a){e.length<40?minimal.utf8.write(e,t,a):t.utf8Write(e,a)}BufferWriter$1.prototype.bytes=function(e){minimal.isString(e)&&(e=minimal._Buffer_from(e,\"base64\"));var t=e.length>>>0;return this.uint32(t),t&&this._push(writeBytesBuffer,t,e),this},BufferWriter$1.prototype.string=function(e){var t=Buffer.byteLength(e);return this.uint32(t),t&&this._push(writeStringBuffer,t,e),this};var reader=Reader,BufferReader,LongBits$2=minimal.LongBits,utf8$1=minimal.utf8;function indexOutOfRange(e,t){return RangeError(\"index out of range: \"+e.pos+\" + \"+(t||1)+\" > \"+e.len)}function Reader(e){this.buf=e,this.pos=0,this.len=e.length}var create_array=\"undefined\"!=typeof Uint8Array?function(e){if(e instanceof Uint8Array||Array.isArray(e))return new Reader(e);throw Error(\"illegal buffer\")}:function(e){if(Array.isArray(e))return new Reader(e);throw Error(\"illegal buffer\")};function readLongVarint(){var e=new LongBits$2(0,0),t=0;if(!(this.len-this.pos>4)){for(;t<3;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e}return e.lo=(e.lo|(127&this.buf[this.pos++])<<7*t)>>>0,e}for(;t<4;++t)if(e.lo=(e.lo|(127&this.buf[this.pos])<<7*t)>>>0,this.buf[this.pos++]<128)return e;if(e.lo=(e.lo|(127&this.buf[this.pos])<<28)>>>0,e.hi=(e.hi|(127&this.buf[this.pos])>>4)>>>0,this.buf[this.pos++]<128)return e;if(t=0,this.len-this.pos>4){for(;t<5;++t)if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}else for(;t<5;++t){if(this.pos>=this.len)throw indexOutOfRange(this);if(e.hi=(e.hi|(127&this.buf[this.pos])<<7*t+3)>>>0,this.buf[this.pos++]<128)return e}throw Error(\"invalid varint encoding\")}function readFixed32_end(e,t){return(e[t-4]|e[t-3]<<8|e[t-2]<<16|e[t-1]<<24)>>>0}function readFixed64(){if(this.pos+8>this.len)throw indexOutOfRange(this,8);return new LongBits$2(readFixed32_end(this.buf,this.pos+=4),readFixed32_end(this.buf,this.pos+=4))}Reader.create=minimal.Buffer?function(e){return(Reader.create=function(e){return minimal.Buffer.isBuffer(e)?new BufferReader(e):create_array(e)})(e)}:create_array,Reader.prototype._slice=minimal.Array.prototype.subarray||minimal.Array.prototype.slice,Reader.prototype.uint32=function(){var e=4294967295;return function(){if(e=(127&this.buf[this.pos])>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<7)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<14)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(127&this.buf[this.pos])<<21)>>>0,this.buf[this.pos++]<128)return e;if(e=(e|(15&this.buf[this.pos])<<28)>>>0,this.buf[this.pos++]<128)return e;if((this.pos+=5)>this.len)throw this.pos=this.len,indexOutOfRange(this,10);return e}}(),Reader.prototype.int32=function(){return 0|this.uint32()},Reader.prototype.sint32=function(){var e=this.uint32();return e>>>1^-(1&e)|0},Reader.prototype.bool=function(){return 0!==this.uint32()},Reader.prototype.fixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.sfixed32=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);return 0|readFixed32_end(this.buf,this.pos+=4)},Reader.prototype.float=function(){if(this.pos+4>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readFloatLE(this.buf,this.pos);return this.pos+=4,e},Reader.prototype.double=function(){if(this.pos+8>this.len)throw indexOutOfRange(this,4);var e=minimal.float.readDoubleLE(this.buf,this.pos);return this.pos+=8,e},Reader.prototype.bytes=function(){var e=this.uint32(),t=this.pos,a=this.pos+e;if(a>this.len)throw indexOutOfRange(this,e);return this.pos+=e,Array.isArray(this.buf)?this.buf.slice(t,a):t===a?new this.buf.constructor(0):this._slice.call(this.buf,t,a)},Reader.prototype.string=function(){var e=this.bytes();return utf8$1.read(e,0,e.length)},Reader.prototype.skip=function(e){if(\"number\"==typeof e){if(this.pos+e>this.len)throw indexOutOfRange(this,e);this.pos+=e}else do{if(this.pos>=this.len)throw indexOutOfRange(this)}while(128&this.buf[this.pos++]);return this},Reader.prototype.skipType=function(e){switch(e){case 0:this.skip();break;case 1:this.skip(8);break;case 2:this.skip(this.uint32());break;case 3:for(;;){if(4==(e=7&this.uint32()))break;this.skipType(e)}break;case 5:this.skip(4);break;default:throw Error(\"invalid wire type \"+e+\" at offset \"+this.pos)}return this},Reader._configure=function(e){BufferReader=e;var t=minimal.Long?\"toLong\":\"toNumber\";minimal.merge(Reader.prototype,{int64:function(){return readLongVarint.call(this)[t](!1)},uint64:function(){return readLongVarint.call(this)[t](!0)},sint64:function(){return readLongVarint.call(this).zzDecode()[t](!1)},fixed64:function(){return readFixed64.call(this)[t](!0)},sfixed64:function(){return readFixed64.call(this)[t](!1)}})};var reader_buffer=BufferReader$1;function BufferReader$1(e){reader.call(this,e)}(BufferReader$1.prototype=Object.create(reader.prototype)).constructor=BufferReader$1,minimal.Buffer&&(BufferReader$1.prototype._slice=minimal.Buffer.prototype.slice),BufferReader$1.prototype.string=function(){var e=this.uint32();return this.buf.utf8Slice(this.pos,this.pos=Math.min(this.pos+e,this.len))};var service=Service;function Service(e,t,a){if(\"function\"!=typeof e)throw TypeError(\"rpcImpl must be a function\");minimal.EventEmitter.call(this),this.rpcImpl=e,this.requestDelimited=Boolean(t),this.responseDelimited=Boolean(a)}(Service.prototype=Object.create(minimal.EventEmitter.prototype)).constructor=Service,Service.prototype.rpcCall=function e(t,a,r,n,o){if(!n)throw TypeError(\"request must be specified\");var s=this;if(!o)return minimal.asPromise(e,s,t,a,r,n);if(s.rpcImpl)try{return s.rpcImpl(t,a[s.requestDelimited?\"encodeDelimited\":\"encode\"](n).finish(),function(e,a){if(e)return s.emit(\"error\",e,t),o(e);if(null!==a){if(!(a instanceof r))try{a=r[s.responseDelimited?\"decodeDelimited\":\"decode\"](a)}catch(e){return s.emit(\"error\",e,t),o(e)}return s.emit(\"data\",a,t),o(null,a)}s.end(!0)})}catch(e){return s.emit(\"error\",e,t),void setTimeout(function(){o(e)},0)}else setTimeout(function(){o(Error(\"already ended\"))},0)},Service.prototype.end=function(e){return this.rpcImpl&&(e||this.rpcImpl(null,null,null),this.rpcImpl=null,this.emit(\"end\").off()),this};var rpc_1=createCommonjsModule(function(e,t){t.Service=service}),roots={},indexMinimal=createCommonjsModule(function(e,t){var a=t;function r(){a.Reader._configure(a.BufferReader),a.util._configure()}a.build=\"minimal\",a.Writer=writer,a.BufferWriter=writer_buffer,a.Reader=reader,a.BufferReader=reader_buffer,a.util=minimal,a.rpc=rpc_1,a.roots=roots,a.configure=r,a.Writer._configure(a.BufferWriter),r()}),minimal$1=indexMinimal,minimal_1=minimal$1.roots,minimal_2=minimal$1.Reader,minimal_3=minimal$1.util,$Reader=minimal$1.Reader,$util=minimal$1.util,$root=minimal$1.roots.default||(minimal$1.roots.default={});$root.tensorflow=function(){var e,t,a={};return a.Any=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.typeUrl=\"\",e.prototype.value=$util.newBuffer([]),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Any;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.typeUrl=e.string();break;case 2:r.value=e.bytes();break;default:e.skipType(7&n)}}return r},e}(),a.DataType=(e={},(t=Object.create(e))[e[0]=\"DT_INVALID\"]=0,t[e[1]=\"DT_FLOAT\"]=1,t[e[2]=\"DT_DOUBLE\"]=2,t[e[3]=\"DT_INT32\"]=3,t[e[4]=\"DT_UINT8\"]=4,t[e[5]=\"DT_INT16\"]=5,t[e[6]=\"DT_INT8\"]=6,t[e[7]=\"DT_STRING\"]=7,t[e[8]=\"DT_COMPLEX64\"]=8,t[e[9]=\"DT_INT64\"]=9,t[e[10]=\"DT_BOOL\"]=10,t[e[11]=\"DT_QINT8\"]=11,t[e[12]=\"DT_QUINT8\"]=12,t[e[13]=\"DT_QINT32\"]=13,t[e[14]=\"DT_BFLOAT16\"]=14,t[e[101]=\"DT_FLOAT_REF\"]=101,t[e[102]=\"DT_DOUBLE_REF\"]=102,t[e[103]=\"DT_INT32_REF\"]=103,t[e[104]=\"DT_UINT8_REF\"]=104,t[e[105]=\"DT_INT16_REF\"]=105,t[e[106]=\"DT_INT8_REF\"]=106,t[e[107]=\"DT_STRING_REF\"]=107,t[e[108]=\"DT_COMPLEX64_REF\"]=108,t[e[109]=\"DT_INT64_REF\"]=109,t[e[110]=\"DT_BOOL_REF\"]=110,t[e[111]=\"DT_QINT8_REF\"]=111,t[e[112]=\"DT_QUINT8_REF\"]=112,t[e[113]=\"DT_QINT32_REF\"]=113,t[e[114]=\"DT_BFLOAT16_REF\"]=114,t),a.TensorShape=function(){function e(e){if(this.dim=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.dim=$util.emptyArray,e.prototype.unknownRank=!1,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape;e.pos<a;){var n=e.uint32();switch(n>>>3){case 2:r.dim&&r.dim.length||(r.dim=[]),r.dim.push($root.tensorflow.TensorShape.Dim.decode(e,e.uint32()));break;case 3:r.unknownRank=e.bool();break;default:e.skipType(7&n)}}return r},e.Dim=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.size=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.name=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorShape.Dim;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.size=e.int64();break;case 2:r.name=e.string();break;default:e.skipType(7&n)}}return r},e}(),e}(),a.Tensor=function(){function e(e){if(this.floatVal=[],this.doubleVal=[],this.intVal=[],this.stringVal=[],this.scomplexVal=[],this.int64Val=[],this.boolVal=[],this.uint32Val=[],this.uint64Val=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.dtype=0,e.prototype.tensorShape=null,e.prototype.versionNumber=0,e.prototype.tensorContent=$util.newBuffer([]),e.prototype.floatVal=$util.emptyArray,e.prototype.doubleVal=$util.emptyArray,e.prototype.intVal=$util.emptyArray,e.prototype.stringVal=$util.emptyArray,e.prototype.scomplexVal=$util.emptyArray,e.prototype.int64Val=$util.emptyArray,e.prototype.boolVal=$util.emptyArray,e.prototype.uint32Val=$util.emptyArray,e.prototype.uint64Val=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Tensor;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.dtype=e.int32();break;case 2:r.tensorShape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 3:r.versionNumber=e.int32();break;case 4:r.tensorContent=e.bytes();break;case 5:if(r.floatVal&&r.floatVal.length||(r.floatVal=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.floatVal.push(e.float());else r.floatVal.push(e.float());break;case 6:if(r.doubleVal&&r.doubleVal.length||(r.doubleVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.doubleVal.push(e.double());else r.doubleVal.push(e.double());break;case 7:if(r.intVal&&r.intVal.length||(r.intVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.intVal.push(e.int32());else r.intVal.push(e.int32());break;case 8:r.stringVal&&r.stringVal.length||(r.stringVal=[]),r.stringVal.push(e.bytes());break;case 9:if(r.scomplexVal&&r.scomplexVal.length||(r.scomplexVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.scomplexVal.push(e.float());else r.scomplexVal.push(e.float());break;case 10:if(r.int64Val&&r.int64Val.length||(r.int64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.int64Val.push(e.int64());else r.int64Val.push(e.int64());break;case 11:if(r.boolVal&&r.boolVal.length||(r.boolVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.boolVal.push(e.bool());else r.boolVal.push(e.bool());break;case 16:if(r.uint32Val&&r.uint32Val.length||(r.uint32Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint32Val.push(e.uint32());else r.uint32Val.push(e.uint32());break;case 17:if(r.uint64Val&&r.uint64Val.length||(r.uint64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint64Val.push(e.uint64());else r.uint64Val.push(e.uint64());break;default:e.skipType(7&n)}}return r},e}(),a.AttrValue=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return e.prototype.list=null,e.prototype.s=$util.newBuffer([]),e.prototype.i=$util.Long?$util.Long.fromBits(0,0,!1):0,e.prototype.f=0,e.prototype.b=!1,e.prototype.type=0,e.prototype.shape=null,e.prototype.tensor=null,e.prototype.placeholder=\"\",e.prototype.func=null,Object.defineProperty(e.prototype,\"value\",{get:$util.oneOfGetter(t=[\"list\",\"s\",\"i\",\"f\",\"b\",\"type\",\"shape\",\"tensor\",\"placeholder\",\"func\"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.list=$root.tensorflow.AttrValue.ListValue.decode(e,e.uint32());break;case 2:r.s=e.bytes();break;case 3:r.i=e.int64();break;case 4:r.f=e.float();break;case 5:r.b=e.bool();break;case 6:r.type=e.int32();break;case 7:r.shape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 8:r.tensor=$root.tensorflow.Tensor.decode(e,e.uint32());break;case 9:r.placeholder=e.string();break;case 10:r.func=$root.tensorflow.NameAttrList.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.ListValue=function(){function e(e){if(this.s=[],this.i=[],this.f=[],this.b=[],this.type=[],this.shape=[],this.tensor=[],this.func=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.s=$util.emptyArray,e.prototype.i=$util.emptyArray,e.prototype.f=$util.emptyArray,e.prototype.b=$util.emptyArray,e.prototype.type=$util.emptyArray,e.prototype.shape=$util.emptyArray,e.prototype.tensor=$util.emptyArray,e.prototype.func=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AttrValue.ListValue;e.pos<a;){var n=e.uint32();switch(n>>>3){case 2:r.s&&r.s.length||(r.s=[]),r.s.push(e.bytes());break;case 3:if(r.i&&r.i.length||(r.i=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.i.push(e.int64());else r.i.push(e.int64());break;case 4:if(r.f&&r.f.length||(r.f=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.f.push(e.float());else r.f.push(e.float());break;case 5:if(r.b&&r.b.length||(r.b=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.b.push(e.bool());else r.b.push(e.bool());break;case 6:if(r.type&&r.type.length||(r.type=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.type.push(e.int32());else r.type.push(e.int32());break;case 7:r.shape&&r.shape.length||(r.shape=[]),r.shape.push($root.tensorflow.TensorShape.decode(e,e.uint32()));break;case 8:r.tensor&&r.tensor.length||(r.tensor=[]),r.tensor.push($root.tensorflow.Tensor.decode(e,e.uint32()));break;case 9:r.func&&r.func.length||(r.func=[]),r.func.push($root.tensorflow.NameAttrList.decode(e,e.uint32()));break;default:e.skipType(7&n)}}return r},e}(),e}(),a.NameAttrList=function(){function e(e){if(this.attr={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.NameAttrList;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:n.name=e.string();break;case 2:e.skip().pos++,n.attr===$util.emptyObject&&(n.attr={}),a=e.string(),e.pos++,n.attr[a]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&o)}}return n},e}(),a.NodeDef=function(){function e(e){if(this.input=[],this.attr={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.op=\"\",e.prototype.input=$util.emptyArray,e.prototype.device=\"\",e.prototype.attr=$util.emptyObject,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.NodeDef;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:n.name=e.string();break;case 2:n.op=e.string();break;case 3:n.input&&n.input.length||(n.input=[]),n.input.push(e.string());break;case 4:n.device=e.string();break;case 5:e.skip().pos++,n.attr===$util.emptyObject&&(n.attr={}),a=e.string(),e.pos++,n.attr[a]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&o)}}return n},e}(),a.VersionDef=function(){function e(e){if(this.badConsumers=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.producer=0,e.prototype.minConsumer=0,e.prototype.badConsumers=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.VersionDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.producer=e.int32();break;case 2:r.minConsumer=e.int32();break;case 3:if(r.badConsumers&&r.badConsumers.length||(r.badConsumers=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.badConsumers.push(e.int32());else r.badConsumers.push(e.int32());break;default:e.skipType(7&n)}}return r},e}(),a.GraphDef=function(){function e(e){if(this.node=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.node=$util.emptyArray,e.prototype.versions=null,e.prototype.library=null,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.GraphDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push($root.tensorflow.NodeDef.decode(e,e.uint32()));break;case 4:r.versions=$root.tensorflow.VersionDef.decode(e,e.uint32());break;case 2:r.library=$root.tensorflow.FunctionDefLibrary.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e}(),a.CollectionDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return e.prototype.nodeList=null,e.prototype.bytesList=null,e.prototype.int64List=null,e.prototype.floatList=null,e.prototype.anyList=null,Object.defineProperty(e.prototype,\"kind\",{get:$util.oneOfGetter(t=[\"nodeList\",\"bytesList\",\"int64List\",\"floatList\",\"anyList\"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.nodeList=$root.tensorflow.CollectionDef.NodeList.decode(e,e.uint32());break;case 2:r.bytesList=$root.tensorflow.CollectionDef.BytesList.decode(e,e.uint32());break;case 3:r.int64List=$root.tensorflow.CollectionDef.Int64List.decode(e,e.uint32());break;case 4:r.floatList=$root.tensorflow.CollectionDef.FloatList.decode(e,e.uint32());break;case 5:r.anyList=$root.tensorflow.CollectionDef.AnyList.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.NodeList=function(){function e(e){if(this.value=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.value=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef.NodeList;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.value&&r.value.length||(r.value=[]),r.value.push(e.string());break;default:e.skipType(7&n)}}return r},e}(),e.BytesList=function(){function e(e){if(this.value=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.value=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef.BytesList;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.value&&r.value.length||(r.value=[]),r.value.push(e.bytes());break;default:e.skipType(7&n)}}return r},e}(),e.Int64List=function(){function e(e){if(this.value=[],e)for(var 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pe:\"tensor\"},{tfInputIndex:1,dlParamName:\"indices\",type:\"tensor\"}]},{tfOpName:\"SparseToDense\",dlOpName:\"sparseToDense\",category:\"slice_join\",params:[{tfInputIndex:0,dlParamName:\"sparseIndices\",type:\"tensor\"},{tfInputIndex:1,dlParamName:\"outputShape\",type:\"number[]\"},{tfInputIndex:2,dlParamName:\"sparseValues\",type:\"tensor\"},{tfInputIndex:3,dlParamName:\"defaultValue\",type:\"tensor\"},{tfParamName:\"validate_indices\",dlParamName:\"validateIndices\",type:\"bool\",defaultValue:!1,notSupported:!0}]}],sliceJoin=Object.freeze({json:json$13}),json$14=[{tfOpName:\"Cast\",dlOpName:\"cast\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfParamName:\"SrcT\",dlParamName:\"sdtype\",type:\"dtype\",notSupported:!0},{tfParamName:\"DstT\",dlParamName:\"dtype\",type:\"dtype\"}]},{tfOpName:\"ExpandDims\",dlOpName:\"expandDims\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfInputIndex:1,tfParamNameDeprecated:\"dim\",dlParamName:\"axis\",type:\"number\"}]},{tfOpName:\"Pad\",dlOpName:\"pad\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfInputIndex:1,dlParamName:\"padding\",type:\"number[]\"},{tfParamName:\"constant_value\",dlParamName:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"PadV2\",dlOpName:\"pad\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfInputIndex:1,dlParamName:\"padding\",type:\"number[]\"},{tfInputIndex:2,dlParamName:\"constantValue\",type:\"number\",defaultValue:0}]},{tfOpName:\"Reshape\",dlOpName:\"reshape\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfInputIndex:1,dlParamName:\"shape\",type:\"number[]\"}]},{tfOpName:\"Squeeze\",dlOpName:\"squeeze\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfParamName:\"axis\",tfParamNameDeprecated:\"squeeze_dims\",dlParamName:\"axis\",type:\"number[]\"}]},{tfOpName:\"SpaceToBatchND\",dlOpName:\"spaceToBatchND\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfInputIndex:1,dlParamName:\"blockShape\",type:\"number[]\"},{tfInputIndex:2,dlParamName:\"paddings\",type:\"number[]\"}]},{tfOpName:\"BatchToSpaceND\",dlOpName:\"batchToSpaceND\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfInputIndex:1,dlParamName:\"blockShape\",type:\"number[]\"},{tfInputIndex:2,dlParamName:\"crops\",type:\"number[]\"}]},{tfOpName:\"DepthToSpace\",dlOpName:\"depthToSpace\",category:\"transformation\",params:[{tfInputIndex:0,dlParamName:\"x\",type:\"tensor\"},{tfParamName:\"block_size\",dlParamName:\"blockSize\",type:\"number\"},{tfParamName:\"data_format\",dlParamName:\"dataFormat\",type:\"string\"}]}],transformation=Object.freeze({json:json$14}),CONTROL_FLOW_OPS=[\"Switch\",\"Merge\",\"Enter\",\"Exit\",\"NextIteration\"],DYNAMIC_SHAPE_OPS=[\"NonMaxSuppressionV2\",\"NonMaxSuppressionV3\",\"Where\"],OperationMapper=function(){function e(){var e=[arithmetic,basicMath,control,convolution,creation,dynamic,evaluation,logical,image$1,graph,matrices,normalization,reduction,sliceJoin,transformation],t=[].concat.apply([],e.map(function(e){return e.json}));this.opMappers=t.reduce(function(e,t){return e[t.tfOpName]=t,e},{})}return Object.defineProperty(e,\"Instance\",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),e.prototype.isControlFlow=function(e){return CONTROL_FLOW_OPS.some(function(t){return t===e.op})},e.prototype.isDynamicShape=function(e){return DYNAMIC_SHAPE_OPS.some(function(t){return t===e.op})},e.prototype.transformGraph=function(e){var t=this,a=!1,r=!1,n=[],o=[],s=e.node.reduce(function(e,s){return e[s.name]=t.mapNode(s),t.isControlFlow(s)&&(a=!0),t.isDynamicShape(s)&&(r=!0),\"Placeholder\"===s.op&&n.push(e[s.name]),\"Const\"===s.op&&o.push(e[s.name]),e},{}),i=[],p=[];return Object.keys(s).forEach(function(e){var t=s[e];t.inputNames.forEach(function(e){var a=getNodeNameAndIndex(e)[0];t.inputs.push(s[a]),s[a].children.push(t)}),0===t.inputs.length&&i.push(t)}),Object.keys(s).forEach(function(e){var t=s[e];0===t.children.length&&p.push(t)}),{nodes:s,inputs:i,outputs:p,weights:o,placeholders:n,withControlFlow:a,withDynamicShape:r}},e.prototype.mapNode=function(e){var t=this,a=this.opMappers[e.op];if(void 0===a)throw new Error(\"Tensorflow Op is not supported: \"+e.op);var r={name:e.name,op:a.dlOpName,category:a.category,inputNames:(e.input||[]).map(function(e){return e.startsWith(\"^\")?e.substr(1):e}),inputs:[],children:[],params:{}};return a.params&&(r.params=a.params.reduce(function(a,r){var n=r.tfInputIndex,o=r.tfInputParamLength,s=r.type,i=void 0;if(void 0===n)switch(r.type){case\"string\":void 0===(i=t.getStringParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getStringParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"number\":void 0===(i=t.getNumberParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getNumberParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"number[]\":void 0===(i=t.getNumericArrayParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getNumericArrayParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"bool\":void 0===(i=t.getBoolParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getBoolParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"shape\":void 0===(i=t.getTensorShapeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getTensorShapeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"dtype\":void 0===(i=t.getDtypeParam(e.attr,r.tfParamName,r.defaultValue))&&r.tfParamNameDeprecated&&(i=t.getDtypeParam(e.attr,r.tfParamNameDeprecated,r.defaultValue));break;case\"tensor\":case\"tensors\":break;default:throw new Error(\"Unsupported param type: \"+r.type+\" for op: \"+e.op)}return a[r.dlParamName]={value:i,inputIndex:n,type:s,inputParamLength:o},a},{})),r},e.prototype.getStringParam=function(e,t,a,r){void 0===r&&(r=!1);var n=e[t];if(void 0!==n){var o=String.fromCharCode.apply(null,n.s);return r?o:o.toLowerCase()}return a},e.prototype.getBoolParam=function(e,t,a){var r=e[t];return r?r.b:a},e.prototype.getNumberParam=function(e,t,a){var r=e[t],n=r?r[r.value]:a;return\"number\"==typeof n?n:n.toInt()},e.prototype.getDtypeParam=function(e,t,a){var r=e[t];if(r&&r.type)switch(r.type){case compiled_api_1.DataType.DT_FLOAT:return\"float32\";case compiled_api_1.DataType.DT_INT32:return\"int32\";case compiled_api_1.DataType.DT_BOOL:return\"bool\";default:return a}return a},e.prototype.getTensorShapeParam=function(e,t,a){var r=e[t];return r&&r.shape?r.shape.dim.map(function(e){return\"number\"==typeof e.size?e.size:e.size.toInt()}):a},e.prototype.getNumericArrayParam=function(e,t,a){var r=e[t];return r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(e){return\"number\"==typeof e?e:e.toInt()}):a},e}(),executeOp=function(e,t,a){switch(e.op){case\"add\":return[add(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"addN\":return[addN(getParamValue(\"tensors\",e,t,a))];case\"mod\":return[mod(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"mul\":return[mul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"div\":return[div(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"floorDiv\":return[floorDiv(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"sub\":return[sub(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"minimum\":return[minimum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"maximum\":return[maximum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"pow\":return[pow(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"squaredDifference\":return[squaredDifference(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$1=function(e,t,a){switch(e.op){case\"abs\":return[abs(getParamValue(\"x\",e,t,a))];case\"acos\":return[acos(getParamValue(\"x\",e,t,a))];case\"acosh\":return[acosh(getParamValue(\"x\",e,t,a))];case\"asin\":return[asin(getParamValue(\"x\",e,t,a))];case\"asinh\":return[asinh(getParamValue(\"x\",e,t,a))];case\"atan\":return[atan(getParamValue(\"x\",e,t,a))];case\"atan2\":return[atan2(getParamValue(\"x\",e,t,a),getParamValue(\"y\",e,t,a))];case\"atanh\":return[atanh(getParamValue(\"x\",e,t,a))];case\"ceil\":return[ceil(getParamValue(\"x\",e,t,a))];case\"cos\":return[cos(getParamValue(\"x\",e,t,a))];case\"cosh\":return[cosh(getParamValue(\"x\",e,t,a))];case\"elu\":return[elu(getParamValue(\"x\",e,t,a))];case\"erf\":return[erf(getParamValue(\"x\",e,t,a))];case\"exp\":return[exp(getParamValue(\"x\",e,t,a))];case\"expm1\":return[expm1(getParamValue(\"x\",e,t,a))];case\"floor\":return[floor(getParamValue(\"x\",e,t,a))];case\"log\":return[log(getParamValue(\"x\",e,t,a))];case\"log1p\":return[log1p(getParamValue(\"x\",e,t,a))];case\"neg\":return[neg(getParamValue(\"x\",e,t,a))];case\"reciprocal\":return[reciprocal(getParamValue(\"x\",e,t,a))];case\"relu\":return[relu(getParamValue(\"x\",e,t,a))];case\"round\":return[round(getParamValue(\"x\",e,t,a))];case\"selu\":return[selu(getParamValue(\"x\",e,t,a))];case\"sigmoid\":return[sigmoid(getParamValue(\"x\",e,t,a))];case\"sin\":return[sin(getParamValue(\"x\",e,t,a))];case\"sign\":return[sign(getParamValue(\"x\",e,t,a))];case\"sinh\":return[sinh(getParamValue(\"x\",e,t,a))];case\"softplus\":return[softplus(getParamValue(\"x\",e,t,a))];case\"sqrt\":return[sqrt(getParamValue(\"x\",e,t,a))];case\"square\":return[square(getParamValue(\"x\",e,t,a))];case\"tanh\":return[tanh(getParamValue(\"x\",e,t,a))];case\"tan\":return[tan(getParamValue(\"x\",e,t,a))];case\"clipByValue\":return[clipByValue(getParamValue(\"x\",e,t,a),getParamValue(\"clipValueMin\",e,t,a),getParamValue(\"clipValueMax\",e,t,a))];case\"rsqrt\":return[div(scalar(1,\"float32\"),sqrt(getTensor(e.inputNames[0],t,a)))];case\"prod\":return[prod(getParamValue(\"x\",e,t,a),getParamValue(\"axes\",e,t,a))];case\"leakyRelu\":return[leakyRelu(getParamValue(\"x\",e,t,a),getParamValue(\"alpha\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},TensorArray=function(){function e(t,a,r,n,o,s,i){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=o,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,\"closed\",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||e>=this.tensors.length)throw new Error(\"Tried to read from index \"+e+\", but array size is: \"+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error(\"TensorArray \"+this.name+\": Could not read index \"+e+\" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).\");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(\"Tried to write to index \"+e+\", but array is not resizeable and size is: \"+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\",\\n          because the value dtype is \"+t.dtype+\", but TensorArray dtype is \"+this.dtype+\".\");if(0===this.size()&&0===this.elementShape.length&&(this.elementShape=t.shape),this.assertShapesMatch(this.elementShape,t.shape,\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\".\"),a&&a.read)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been read.\");if(a&&a.written)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been written.\");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error(\"TensorArray \"+this.name+\": could not write multiple tensors,because the index size: \"+e.length+\" is not the same as tensors size: \"+t.length+\".\");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but gather requested dtype \"+t);if(!e){e=[];for(var a=0;a<this.size();a++)e.push(a)}if(0===e.length)return tensor([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: \"),stack(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but concat requested dtype \"+e);if(0===this.size())return tensor([],[0].concat(this.elementShape));for(var t=[],a=0;a<this.size();a++)t.push(a);var r=this.readMany(t);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: tensor array shape (\"+this.elementShape+\") vs first tensor shape (\"+r[0].shape+\")\"),concat(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);if(e.length!==t.shape[0])throw new Error(\"Expected len(indices) == tensor.shape[0], but saw: \"+e.length+\" vs. \"+t.shape[0]);var a=Math.max.apply(Math,e);if(!this.dynamicSize&&a>=this.maxSize)throw new Error(\"Max index must be < array size (\"+a+\"  vs. \"+this.maxSize+\")\");this.writeMany(e,unstack(t,0))},e.prototype.split=function(e,t){var a=this;if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);var r=0,n=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error(\"Expected sum of lengths to be equal to\\n          tensor.shape[0], but sum of lengths is\\n        \"+r+\", and tensor's shape is: \"+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(\"TensorArray's size is not equal to the size of lengths (\"+this.maxSize+\" vs. \"+e.length+\"), and the TensorArray is not marked as dynamically resizeable\");var o=0===r?0:t.size/r,s=[];tidy(function(){t=t.reshape([1,r,o]);for(var i=0;i<e.length;++i){var p=[0,0===i?0:n[i-1],0],m=[1,e[i],o];s[i]=slice(t,p,m).reshape(a.elementShape)}return s});for(var i=[],p=0;p<e.length;p++)i[p]=p;this.writeMany(i,s)},e.prototype.assertShapesMatch=function(e,t,a){void 0===a&&(a=\"\"),util.assert(this.arraysEqual(e,t),a+\" Shapes \"+e+\" and \"+t+\" must match\")},e.prototype.arraysEqual=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}();function executeOp$2(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i,p,m,u,l,d,c,f,y,h,g,N,P,x,b,I,v,O,V,w,T,k,S,$,_,A,D,j,E,C,R;return __generator(this,function(L){switch(L.label){case 0:switch(e.op){case\"loopCond\":return[3,1];case\"switch\":return[3,2];case\"merge\":return[3,4];case\"enter\":return[3,5];case\"exit\":return[3,6];case\"nextIteration\":return[3,7];case\"tensorArray\":return[3,8];case\"tensorArrayWrite\":return[3,9];case\"tensorArrayRead\":return[3,10];case\"tensorArrayGather\":return[3,11];case\"tensorArrayScatter\":return[3,12];case\"tensorArrayConcat\":return[3,13];case\"tensorArraySplit\":return[3,14];case\"tensorArraySize\":return[3,15];case\"tensorArrayClose\":return[3,16]}return[3,17];case 1:return[2,[getParamValue(\"pred\",e,t,a).clone()]];case 2:return r=getParamValue(\"pred\",e,t,a),n=getParamValue(\"data\",e,t,a),[4,r.data()];case 3:return[2,L.sent()[0]?[void 0,n.clone()]:[n.clone(),void 0]];case 4:return[2,(o=e.inputNames.find(function(e){return void 0!==getTensor(e,t,a)}))?[getTensor(o,t,a).clone()]:void 0];case 5:return s=getParamValue(\"frameName\",e,t,a),i=getParamValue(\"tensor\",e,t,a),a.enterFrame(s),[2,[i.clone()]];case 6:return p=getParamValue(\"tensor\",e,t,a),a.exitFrame(),[2,[p.clone()]];case 7:return m=getParamValue(\"tensor\",e,t,a),a.nextIteration(),[2,[m.clone()]];case 8:return u=getParamValue(\"size\",e,t,a),l=getParamValue(\"dtype\",e,t,a),d=getParamValue(\"elementShape\",e,t,a),c=getParamValue(\"dynamicSize\",e,t,a),f=getParamValue(\"clearAfterRead\",e,t,a),y=getParamValue(\"identicalElementShapes\",e,t,a),h=getParamValue(\"name\",e,t,a),g=new TensorArray(h,l,u,d,y,c,f),a.addTensorArray(g),[2,[scalar(g.id),scalar(1)]];case 9:return N=getParamValue(\"tensorArrayId\",e,t,a),P=getParamValue(\"index\",e,t,a),x=getParamValue(\"tensor\",e,t,a),a.getTensorArray(N).write(P,x),[2,[scalar(1)]];case 10:return b=getParamValue(\"tensorArrayId\",e,t,a),I=getParamValue(\"index\",e,t,a),[2,[a.getTensorArray(b).read(I)]];case 11:return v=getParamValue(\"tensorArrayId\",e,t,a),O=getParamValue(\"indices\",e,t,a),V=getParamValue(\"dtype\",e,t,a),[2,[a.getTensorArray(v).gather(O,V)]];case 12:return w=getParamValue(\"tensorArrayId\",e,t,a),T=getParamValue(\"indices\",e,t,a),k=getParamValue(\"tensor\",e,t,a),a.getTensorArray(w).scatter(T,k),[2,[scalar(1)]];case 13:return S=getParamValue(\"tensorArrayId\",e,t,a),$=a.getTensorArray(S),_=getParamValue(\"dtype\",e,t,a),[2,[$.concat(_)]];case 14:return A=getParamValue(\"tensorArrayId\",e,t,a),D=getParamValue(\"tensor\",e,t,a),j=getParamValue(\"lengths\",e,t,a),a.getTensorArray(A).split(j,D),[2,[scalar(1)]];case 15:return E=getParamValue(\"tensorArrayId\",e,t,a),C=a.getTensorArray(E),[2,[scalar(C.size(),\"int32\")]];case 16:return R=getParamValue(\"tensorArrayId\",e,t,a),a.getTensorArray(R).clearAndClose(),[2,[]];case 17:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$3=function(e,t,a){switch(e.op){case\"conv1d\":var r=getParamValue(\"stride\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase(),s=getParamValue(\"dilation\",e,t,a);return[conv1d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),r,n,o,s)];case\"conv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();var i=getParamValue(\"dilations\",e,t,a);return[conv2d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"conv2dTranspose\":var p=getParamValue(\"outputShape\",e,t,a);r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);return[conv2dTranspose(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),p,[r[1],r[2]],n)];case\"depthwiseConv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),i=getParamValue(\"dilations\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();return[depthwiseConv2d(getParamValue(\"input\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"avgPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);var m=getParamValue(\"kernelSize\",e,t,a);return[avgPool(getParamValue(\"x\",e,t,a),[m[1],m[2]],[r[1],r[2]],n)];case\"maxPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),m=getParamValue(\"kernelSize\",e,t,a);return[maxPool(getParamValue(\"x\",e,t,a),[m[1],m[2]],[r[1],r[2]],n)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$4=function(e,t,a){switch(e.op){case\"fill\":var r=getParamValue(\"shape\",e,t,a),n=getParamValue(\"dtype\",e,t,a),o=getParamValue(\"value\",e,t,a);return[fill(r,o,n)];case\"linspace\":var s=getParamValue(\"start\",e,t,a),i=getParamValue(\"stop\",e,t,a),p=getParamValue(\"num\",e,t,a);return[linspace(s,i,p)];case\"oneHot\":var m=getParamValue(\"indices\",e,t,a),u=getParamValue(\"depth\",e,t,a),l=getParamValue(\"onValue\",e,t,a),d=getParamValue(\"offValue\",e,t,a);return[oneHot(m,u,l,d)];case\"ones\":return[ones(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"onesLike\":return[onesLike(getParamValue(\"x\",e,t,a))];case\"randomUniform\":return[randomUniform(getParamValue(\"shape\",e,t,a),getParamValue(\"minval\",e,t,a),getParamValue(\"maxval\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"range\":s=getParamValue(\"start\",e,t,a);var c=getParamValue(\"stop\",e,t,a),f=getParamValue(\"step\",e,t,a);return[range(s,c,f,getParamValue(\"dtype\",e,t,a))];case\"truncatedNormal\":r=getParamValue(\"shape\",e,t,a);var y=getParamValue(\"mean\",e,t,a),h=getParamValue(\"stdDev\",e,t,a),g=getParamValue(\"seed\",e,t,a);return[truncatedNormal(r,y,h,getParamValue(\"dtype\",e,t,a),g)];case\"zeros\":return[zeros(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"zerosLike\":return[zerosLike(getParamValue(\"x\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$5(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i;return __generator(this,function(p){switch(p.label){case 0:switch(e.op){case\"nonMaxSuppression\":return[3,1];case\"whereAsync\":return[3,3];case\"setdiff1dAsync\":return[3,5]}return[3,7];case 1:return r=getParamValue(\"boxes\",e,t,a),n=getParamValue(\"scores\",e,t,a),o=getParamValue(\"maxOutputSize\",e,t,a),s=getParamValue(\"iouThreshold\",e,t,a),i=getParamValue(\"scoreThreshold\",e,t,a),[4,image.nonMaxSuppressionAsync(r,n,o,s,i)];case 2:return[2,[p.sent()]];case 3:return[4,whereAsync(getParamValue(\"condition\",e,t,a))];case 4:return[2,[p.sent()]];case 5:return[4,setdiff1dAsync(getParamValue(\"x\",e,t,a),getParamValue(\"y\",e,t,a))];case 6:return[2,p.sent()];case 7:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$6=function(e,t,a){switch(e.op){case\"topK\":var r=getParamValue(\"x\",e,t,a),n=getParamValue(\"k\",e,t,a),o=getParamValue(\"sorted\",e,t,a),s=topk(r,n,o);return[s.values,s.indices];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$7=function(e,t,a){switch(e.op){case\"const\":return t[e.name];case\"placeholder\":var r=getParamValue(\"default\",e,t,a);return[getTensor(e.name,t,a)||r];case\"identity\":case\"stopGradient\":case\"fakeQuantWithMinMaxVars\":return[getParamValue(\"x\",e,t,a).clone()];case\"snapshot\":return[getParamValue(\"x\",e,t,a).clone()];case\"shape\":return[tensor1d(getParamValue(\"x\",e,t,a).shape,\"int32\")];case\"shapeN\":return getParamValue(\"x\",e,t,a).map(function(e){return tensor1d(e.shape)});case\"size\":return[scalar(getParamValue(\"x\",e,t,a).size,\"int32\")];case\"rank\":return[scalar(getParamValue(\"x\",e,t,a).rank,\"int32\")];case\"noop\":return[];case\"print\":var n=getParamValue(\"x\",e,t,a),o=getParamValue(\"data\",e,t,a),s=getParamValue(\"message\",e,t,a),i=getParamValue(\"summarize\",e,t,a);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(s);for(var p=0;p<o.length;p++)console.log(Array.prototype.slice.call(o[0].dataSync()).slice(0,i));return[n];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$8=function(e,t,a){switch(e.op){case\"resizeBilinear\":var r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeBilinear(r,[n[0],n[1]],o)];case\"resizeNearestNeighbor\":r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeNearestNeighbor(r,[n[0],n[1]],o)];case\"cropAndResize\":var s=getParamValue(\"image\",e,t,a),i=getParamValue(\"boxes\",e,t,a),p=getParamValue(\"boxInd\",e,t,a),m=getParamValue(\"cropSize\",e,t,a),u=getParamValue(\"method\",e,t,a),l=getParamValue(\"extrapolationValue\",e,t,a);return[image.cropAndResize(s,i,p,m,u,l)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$9=function(e,t,a){switch(e.op){case\"equal\":return[equal(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"notEqual\":return[notEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greater\":return[greater(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greaterEqual\":return[greaterEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"less\":return[less(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"lessEqual\":return[lessEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalAnd\":return[logicalAnd(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalNot\":return[logicalNot(getParamValue(\"a\",e,t,a))];case\"logicalOr\":return[logicalOr(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"where\":return[where(getParamValue(\"condition\",e,t,a),getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$10=function(e,t,a){switch(e.op){case\"matMul\":return[matMul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a),getParamValue(\"transposeA\",e,t,a),getParamValue(\"transposeB\",e,t,a))];case\"transpose\":return[transpose(getParamValue(\"x\",e,t,a),getParamValue(\"perm\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$11=function(e,t,a){switch(e.op){case\"batchNormalization\":return[batchNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"mean\",e,t,a),getParamValue(\"variance\",e,t,a),getParamValue(\"epsilon\",e,t,a),getParamValue(\"scale\",e,t,a),getParamValue(\"offset\",e,t,a))];case\"localResponseNormalization\":return[localResponseNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"radius\",e,t,a),getParamValue(\"bias\",e,t,a),getParamValue(\"alpha\",e,t,a),getParamValue(\"beta\",e,t,a))];case\"softmax\":return[softmax(getParamValue(\"x\",e,t,a))];case\"logSoftmax\":return[logSoftmax(getParamValue(\"x\",e,t,a))];case\"sparseToDense\":return[sparseToDense(getParamValue(\"sparseIndices\",e,t,a),getParamValue(\"outputShape\",e,t,a),getParamValue(\"sparseValues\",e,t,a),getParamValue(\"defaultValue\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$12=function(e,t,a){switch(e.op){case\"max\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[max(getParamValue(\"x\",e,t,a),r,n)];case\"mean\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[mean(getParamValue(\"x\",e,t,a),r,n)];case\"min\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[min(getParamValue(\"x\",e,t,a),r,n)];case\"sum\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[sum(getParamValue(\"x\",e,t,a),r,n)];case\"all\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[all(getParamValue(\"x\",e,t,a),r,n)];case\"any\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[any(getParamValue(\"x\",e,t,a),r,n)];case\"argMax\":r=getParamValue(\"axis\",e,t,a);return[argMax(getParamValue(\"x\",e,t,a),r)];case\"argMin\":r=getParamValue(\"axis\",e,t,a);return[argMin(getParamValue(\"x\",e,t,a),r)];case\"prod\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[prod(getParamValue(\"x\",e,t,a),r,n)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$13=function(e,t,a){switch(e.op){case\"concat\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a);return[concat(n,r)];case\"gather\":r=getParamValue(\"axis\",e,t,a);var o=getParamValue(\"x\",e,t,a),s=getParamValue(\"indices\",e,t,a);return[gather(o,s,r)];case\"reverse\":r=getParamValue(\"axis\",e,t,a),o=getParamValue(\"x\",e,t,a);return[reverse(o,r)];case\"slice\":var i=getParamValue(\"begin\",e,t,a),p=getParamValue(\"size\",e,t,a);return[slice(getParamValue(\"x\",e,t,a),i,p)];case\"stridedSlice\":i=getParamValue(\"begin\",e,t,a);var m=getParamValue(\"end\",e,t,a),u=getParamValue(\"strides\",e,t,a),l=getParamValue(\"beginMask\",e,t,a),d=getParamValue(\"endMask\",e,t,a),c=getParamValue(\"ellipsisMask\",e,t,a),f=getParamValue(\"newAxisMask\",e,t,a),y=getParamValue(\"shrinkAxisMask\",e,t,a),h=getParamValue(\"x\",e,t,a);if(1===i.length&&h.shape.length>1)for(var g=1;g<h.shape.length;g++)i.push(0),m.push(h.shape[g]),u.push(u[0]);return[stridedSlice(h,i,m,u,l,d,c,f,y)];case\"stack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a),o=n[0].shape,s=n[0].squeeze().shape,i=n.map(function(e){var t=util.arraysEqual(e.shape,o);if(!t&&!util.arraysEqual(e.squeeze().shape,s))throw new Error(\"the input tensors shape does not match\");return t?e:e.reshape(o)});return[stack(i,r)]});case\"unstack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensor\",e,t,a);return unstack(n,r)});case\"tile\":var N=getParamValue(\"reps\",e,t,a);return[tile(getParamValue(\"x\",e,t,a),N)];case\"split\":r=getParamValue(\"axis\",e,t,a);var P=getParamValue(\"numOrSizeSplits\",e,t,a);return split(getParamValue(\"x\",e,t,a),P,r);case\"scatterNd\":s=getParamValue(\"indices\",e,t,a);var x=getParamValue(\"values\",e,t,a),b=getParamValue(\"shape\",e,t,a);return[scatterND(s,x,b)];case\"gatherNd\":var I=getParamValue(\"x\",e,t,a);s=getParamValue(\"indices\",e,t,a);return[gatherND(I,s)];case\"sparseToDense\":s=getParamValue(\"sparseIndices\",e,t,a),b=getParamValue(\"outputShape\",e,t,a);var v=getParamValue(\"sparseValues\",e,t,a),O=getParamValue(\"defaultValue\",e,t,a);return[sparseToDense(s,v,b,O)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$14=function(e,t,a){switch(e.op){case\"cast\":return[cast(getParamValue(\"x\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"expandDims\":var r=getParamValue(\"axis\",e,t,a);return[expandDims(getParamValue(\"x\",e,t,a),r)];case\"squeeze\":r=getParamValue(\"axis\",e,t,a);return[squeeze(getParamValue(\"x\",e,t,a),r)];case\"reshape\":return[reshape(getParamValue(\"x\",e,t,a),getParamValue(\"shape\",e,t,a))];case\"pad\":return[pad(getParamValue(\"x\",e,t,a),split$1(getParamValue(\"padding\",e,t,a),2),getParamValue(\"constantValue\",e,t,a))];case\"spaceToBatchND\":var n=getParamValue(\"blockShape\",e,t,a),o=split$1(getParamValue(\"paddings\",e,t,a),2);return[spaceToBatchND(getParamValue(\"x\",e,t,a),n,o)];case\"batchToSpaceND\":n=getParamValue(\"blockShape\",e,t,a);var s=split$1(getParamValue(\"crops\",e,t,a),2);return[batchToSpaceND(getParamValue(\"x\",e,t,a),n,s)];case\"depthToSpace\":var i=getParamValue(\"blockSize\",e,t,a),p=getParamValue(\"dataFormat\",e,t,a);return[depthToSpace(getParamValue(\"x\",e,t,a),i,p)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$15(e,t,a){switch(e.category){case\"arithmetic\":return executeOp(e,t,a);case\"basic_math\":return executeOp$1(e,t,a);case\"control\":return executeOp$2(e,t,a);case\"convolution\":return executeOp$3(e,t,a);case\"creation\":return executeOp$4(e,t,a);case\"dynamic\":return executeOp$5(e,t,a);case\"evaluation\":return executeOp$6(e,t,a);case\"image\":return executeOp$8(e,t,a);case\"graph\":return executeOp$7(e,t,a);case\"logical\":return executeOp$9(e,t,a);case\"matrices\":return executeOp$10(e,t,a);case\"normalization\":return executeOp$11(e,t,a);case\"reduction\":return executeOp$12(e,t,a);case\"slice_join\":return executeOp$13(e,t,a);case\"transformation\":return executeOp$14(e,t,a);default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,\"currentContext\",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextId\",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextIds\",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(\"\"),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?\"\":e.frameName+\"-\"+e.iterationId}).join(\"/\"):\"\"},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error(\"Cannot exit frame, the context is empty\");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error(\"Cannot increase frame iteration, the context is empty\");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}(),GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this.placeholders=e.placeholders,this._outputs=e.outputs,this.compile()}return Object.defineProperty(e.prototype,\"weightMap\",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.placeholders.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.placeholders.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.outputs.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isControlFlowModel\",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isDynamicShapeModel\",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),e.prototype.compile=function(e){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var t=[],a=e||this.graph.placeholders,r=a.map(function(e){return e.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var n=a.concat(this.graph.weights),o={};n.length>0;){var s=n.pop();o[s.name]=!0,t.push(s),s.children.forEach(function(e){!o[e.name]&&e.inputNames.every(function(e){var t=getNodeNameAndIndex(e)[0];return o[t]})&&n.push(e)})}this.compiledMap.set(r,t)}}},e.prototype.execute=function(e,t,a){var r=this;void 0===t&&(t=!0);var n=Object.keys(e).sort();this.checkInput(e,t),this.checkInputShapeAndType(e,t),this.compile(n.map(function(e){return r.graph.nodes[e]}));var o=this.calculateOutputs(a);this.checkOutput(this.compiledMap.get(n.join(this.SEPERATOR)),o);var s={};return tidy(function(){for(var t=new ExecutionContext(r._weightMap,s),a=__assign({},r.weightMap,e),i=r.getFrozenTensorIds(a),p={},m=r.compiledMap.get(n.join(r.SEPERATOR)),u=0;u<m.length;u++){var l=m[u];if(a[l.name]||(a[l.name]=executeOp$15(l,a,t),r.checkTensorForDisposal(l.name,l,a,t,i,p)),o.every(function(e){return!!a[e]}))break}return r.findOutputs(a,t,o)})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,o){\"control\"!==t.category&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if(\"control\"!==e.category){var t=getTensorsForCurrentContenxt(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p,m=this;return __generator(this,function(u){switch(u.label){case 0:return this.checkInput(e,!1),this.checkInputShapeAndType(e,!1),a={},r=new ExecutionContext(this._weightMap,a),[4,this.executeWithControlFlow(e,r)];case 1:return n=u.sent(),o=this.findOutputs(n,r,t),s=Object.keys(o).map(function(e){return o[e].id}),i=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})}),p=[].concat.apply([],i),Object.keys(n).forEach(function(e){n[e].forEach(function(e){e&&-1===s.indexOf(e.id)&&-1===p.indexOf(e.id)&&-1===m.weightIds.indexOf(e.id)&&e.dispose()})}),[2,o]}})})},e.prototype.executeWithControlFlow=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p,m,u=this;return __generator(this,function(l){switch(l.label){case 0:a=Object.keys(e),r=a.map(function(e){return u.graph.nodes[e]}),n=r.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),o=__assign({},this.weightMap,e),s={},i=this.getFrozenTensorIds(o),p={},l.label=1;case 1:return n.length>0?(m=this.processStack(r,n,t,o,p,i,s),[4,Promise.all(m)]):[3,3];case 2:return l.sent(),[3,1];case 3:return[2,o]}})})},e.prototype.processStack=function(e,t,a,r,n,o,s){for(var i=this,p=[],m=function(){var m=t.pop();a.currentContext=m.contexts;var l=\"\";if(\"enter\"===m.node.op&&getParamValue(\"isConstant\",m.node,r,a)&&(l=getNodeNameAndIndex(m.node.name,a)[0]),-1===e.indexOf(m.node)){var d=executeOp$15(m.node,r,a);l||(l=getNodeNameAndIndex(m.node.name,a)[0]);var c=a.currentContext;d instanceof Promise?p.push(d.then(function(e){return r[l]=e,a.currentContext=c,i.checkTensorForDisposal(l,m.node,r,a,o,s),i.processChildNodes(m.node,t,a,r,n),e})):(r[l]=d,u.checkTensorForDisposal(l,m.node,r,a,o,s),u.processChildNodes(m.node,t,a,r,n))}else u.processChildNodes(m.node,t,a,r,n)},u=this;t.length>0;)m();return p},e.prototype.processChildNodes=function(e,t,a,r,n){e.children.forEach(function(e){var o=getNodeNameAndIndex(e.name,a)[0];n[o]||(\"merge\"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.calculateOutputs=function(e){return!e||e instanceof Array||(e=[e]),e||this.graph.outputs.map(function(e){return e.name})},e.prototype.findOutputs=function(e,t,a){return this.calculateOutputs(a).reduce(function(a,r){return a[r]=getTensor(r,e,t),a},{})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e,t){void 0===t&&(t=!0),this.placeholders.forEach(function(a){var r=e[a.name];if(t||r){var n=r[0];if(a.params.shape&&a.params.shape.value){var o=a.params.shape.value,s=o.length===n.shape.length&&n.shape.every(function(e,t){return-1===o[t]||o[t]===e});util.assert(s,\"The shape of dict['\"+a.name+\"'] provided in model.execute(dict) must be [\"+o+\"], but was [\"+n.shape+\"]\")}a.params.dtype&&a.params.dtype.value&&util.assert(n.dtype===a.params.dtype.value,\"The dtype of dict['\"+a.name+\"'] provided in model.execute(dict) must be \"+a.params.dtype.value+\", but was \"+n.dtype)}})},e.prototype.checkInput=function(e,t){var a=this;void 0===t&&(t=!0);var r=Object.keys(e),n=[],o=[];this.inputNodes.forEach(function(e){-1===r.indexOf(e)&&n.push(e)}),r.forEach(function(e){-1===a.inputNodes.indexOf(e)&&o.push(e)});var s=o.filter(function(e){return!a.graph.nodes[e]});if(n.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has the keys [\"+r+\"], but is missing the required keys: [\"+n+\"].\");if(o.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has unused keys: [\"+o+\"]. Please provide only the following keys: [\"+this.inputNodes+\"].\");if(s.length>0)throw new Error(\"The dict provided in model.execute(dict) has keys: [\"+s+\"] not part of model graph.\")},e.prototype.checkOutput=function(e,t){var a=e.map(function(e){return e.name}),r=[];if(t.forEach(function(e){-1===a.indexOf(e)&&r.push(e)}),r.length>0)throw new Error(\"The following outputs are not be generated by the execution: [\"+r+\"].\")},e}(),FrozenModel=function(){function e(e,t,a){this.modelUrl=e,this.weightManifestUrl=t,this.requestOption=a,this.version=\"n/a\"}return Object.defineProperty(e.prototype,\"modelVersion\",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"weights\",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=[this.modelUrl,this.weightManifestUrl];if(this.requestOption)this.handler=io.browserHTTPRequest(e,this.requestOption);else{var t=io.getLoadHandlers(e);if(0===t.length)t.push(io.browserHTTPRequest(e,this.requestOption));else if(t.length>1)throw new Error(\"Found more than one (\"+t.length+\") load handlers for URL '\"+[e]+\"'\");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,a;return __generator(this,function(r){switch(r.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,this.handler.load()];case 1:return e=r.sent(),t=compiled_api_1.GraphDef.decode(new Uint8Array(e.modelTopology)),this.version=t.versions.producer+\".\"+t.versions.minConsumer,a=io.decodeWeights(e.weightData,e.weightSpecs),this.executor=new GraphExecutor(OperationMapper.Instance.transformGraph(t)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),[2,!0]}})})},e.prototype.predict=function(e,t){return this.execute_(e,!0,this.outputNodes)},e.prototype.constructTensorMap=function(e){var t=e instanceof Tensor?[e]:e;if(t.length!==this.inputNodes.length)throw new Error(\"Input tensor count mismatch,the frozen model has \"+this.inputNodes.length+\" placeholders, while there are \"+t.length+\" input tensors.\");return this.inputNodes.reduce(function(e,a,r){return e[a]=t[r],e},{})},e.prototype.execute=function(e,t){return this.execute_(e,!1,t)},e.prototype.execute_=function(e,t,a){if(void 0===t&&(t=!0),a=a||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),this.executor.isControlFlowModel||this.executor.isDynamicShapeModel)throw new Error(\"The model contains control flow or dynamic shape ops, please use executeAsync method\");var r=this.executor.execute(this.convertTensorMapToTensorsMap(e),t,a),n=Object.keys(r);return Array.isArray(a)&&a.length>1?a.map(function(e){return r[e]}):r[n[0]]},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r;return __generator(this,function(n){switch(n.label){case 0:if(!this.executor.isControlFlowModel&&!this.executor.isDynamicShapeModel)throw new Error(\"The model does not contain control flow or dynamic shape ops, please use execute method for better performance.\");return t=t||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),[4,this.executor.executeAsync(this.convertTensorMapToTensorsMap(e),t)];case 1:return a=n.sent(),r=Object.keys(a),[2,Array.isArray(t)&&t.length>1?t.map(function(e){return a[e]}):a[r[0]]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function loadFrozenModel(e,t,a){return __awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(n){switch(n.label){case 0:return[4,(r=new FrozenModel(e,t,a)).load()];case 1:return n.sent(),[2,r]}})})}var version=\"0.6.7\";export{FrozenModel,loadFrozenModel,version as version_converter};\n//# sourceMappingURL=tf-converter.esm.js.map\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{concat,slice,stack,tensor,tidy,unstack,util,io,Tensor,add,addN,mod,mul,div,floorDiv,sub,minimum,maximum,pow,squaredDifference,abs,acos,acosh,asin,asinh,atan,atanh,ceil,cos,cosh,elu,erf,exp,expm1,floor,log,log1p,neg,reciprocal,relu,round,selu,sigmoid,sin,sign,sinh,softplus,sqrt,square,tanh,tan,clipByValue,scalar,conv1d,conv2d,conv2dTranspose,depthwiseConv2d,avgPool,maxPool,fill,linspace,oneHot,ones,onesLike,randomUniform,range,truncatedNormal,zeros,zerosLike,image,whereAsync,topk,tensor1d,equal,notEqual,greater,greaterEqual,less,lessEqual,logicalAnd,logicalNot,logicalOr,where,matMul,transpose,batchNormalization,localResponseNormalization,softmax,max,mean,min,sum,all,any,argMax,argMin,gather,reverse,stridedSlice,tile,split,cast,expandDims,squeeze,reshape,pad,spaceToBatchND,batchToSpaceND}from\"@tensorflow/tfjs-core\";var __assign=Object.assign||function(e){for(var t,a=1,r=arguments.length;a<r;a++)for(var n in 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r(){a.Reader._configure(a.BufferReader),a.util._configure()}a.build=\"minimal\",a.Writer=writer,a.BufferWriter=writer_buffer,a.Reader=reader,a.BufferReader=reader_buffer,a.util=minimal,a.rpc=rpc_1,a.roots=roots,a.configure=r,a.Writer._configure(a.BufferWriter),r()}),minimal$1=indexMinimal,minimal_1=minimal$1.roots,minimal_2=minimal$1.Reader,minimal_3=minimal$1.util,$Reader=minimal$1.Reader,$util=minimal$1.util,$root=minimal$1.roots.default||(minimal$1.roots.default={});$root.tensorflow=function(){var e,t,a={};return a.Any=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.typeUrl=\"\",e.prototype.value=$util.newBuffer([]),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.Any;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.typeUrl=e.string();break;case 2:r.value=e.bytes();break;default:e.skipType(7&n)}}return 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2:r.tensorShape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;case 3:r.versionNumber=e.int32();break;case 4:r.tensorContent=e.bytes();break;case 5:if(r.floatVal&&r.floatVal.length||(r.floatVal=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.floatVal.push(e.float());else r.floatVal.push(e.float());break;case 6:if(r.doubleVal&&r.doubleVal.length||(r.doubleVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.doubleVal.push(e.double());else r.doubleVal.push(e.double());break;case 7:if(r.intVal&&r.intVal.length||(r.intVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.intVal.push(e.int32());else r.intVal.push(e.int32());break;case 8:r.stringVal&&r.stringVal.length||(r.stringVal=[]),r.stringVal.push(e.bytes());break;case 9:if(r.scomplexVal&&r.scomplexVal.length||(r.scomplexVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.scomplexVal.push(e.float());else r.scomplexVal.push(e.float());break;case 10:if(r.int64Val&&r.int64Val.length||(r.int64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.int64Val.push(e.int64());else r.int64Val.push(e.int64());break;case 11:if(r.boolVal&&r.boolVal.length||(r.boolVal=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.boolVal.push(e.bool());else r.boolVal.push(e.bool());break;case 16:if(r.uint32Val&&r.uint32Val.length||(r.uint32Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint32Val.push(e.uint32());else r.uint32Val.push(e.uint32());break;case 17:if(r.uint64Val&&r.uint64Val.length||(r.uint64Val=[]),2==(7&n))for(o=e.uint32()+e.pos;e.pos<o;)r.uint64Val.push(e.uint64());else r.uint64Val.push(e.uint64());break;default:e.skipType(7&n)}}return r},e}(),a.AttrValue=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return 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3:n.input&&n.input.length||(n.input=[]),n.input.push(e.string());break;case 4:n.device=e.string();break;case 5:e.skip().pos++,n.attr===$util.emptyObject&&(n.attr={}),a=e.string(),e.pos++,n.attr[a]=$root.tensorflow.AttrValue.decode(e,e.uint32());break;default:e.skipType(7&o)}}return n},e}(),a.VersionDef=function(){function e(e){if(this.badConsumers=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.producer=0,e.prototype.minConsumer=0,e.prototype.badConsumers=$util.emptyArray,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.VersionDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.producer=e.int32();break;case 2:r.minConsumer=e.int32();break;case 3:if(r.badConsumers&&r.badConsumers.length||(r.badConsumers=[]),2==(7&n))for(var o=e.uint32()+e.pos;e.pos<o;)r.badConsumers.push(e.int32());else r.badConsumers.push(e.int32());break;default:e.skipType(7&n)}}return r},e}(),a.GraphDef=function(){function e(e){if(this.node=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.node=$util.emptyArray,e.prototype.versions=null,e.prototype.library=null,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.GraphDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push($root.tensorflow.NodeDef.decode(e,e.uint32()));break;case 4:r.versions=$root.tensorflow.VersionDef.decode(e,e.uint32());break;case 2:r.library=$root.tensorflow.FunctionDefLibrary.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e}(),a.CollectionDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}var t;return e.prototype.nodeList=null,e.prototype.bytesList=null,e.prototype.int64List=null,e.prototype.floatList=null,e.prototype.anyList=null,Object.defineProperty(e.prototype,\"kind\",{get:$util.oneOfGetter(t=[\"nodeList\",\"bytesList\",\"int64List\",\"floatList\",\"anyList\"]),set:$util.oneOfSetter(t)}),e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.CollectionDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.nodeList=$root.tensorflow.CollectionDef.NodeList.decode(e,e.uint32());break;case 2:r.bytesList=$root.tensorflow.CollectionDef.BytesList.decode(e,e.uint32());break;case 3:r.int64List=$root.tensorflow.CollectionDef.Int64List.decode(e,e.uint32());break;case 4:r.floatList=$root.tensorflow.CollectionDef.FloatList.decode(e,e.uint32());break;case 5:r.anyList=$root.tensorflow.CollectionDef.AnyList.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.NodeList=function(){function 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a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorInfo;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.name=e.string();break;case 4:r.cooSparse=$root.tensorflow.TensorInfo.CooSparse.decode(e,e.uint32());break;case 2:r.dtype=e.int32();break;case 3:r.tensorShape=$root.tensorflow.TensorShape.decode(e,e.uint32());break;default:e.skipType(7&n)}}return r},e.CooSparse=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.valuesTensorName=\"\",e.prototype.indicesTensorName=\"\",e.prototype.denseShapeTensorName=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.TensorInfo.CooSparse;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.valuesTensorName=e.string();break;case 2:r.indicesTensorName=e.string();break;case 3:r.denseShapeTensorName=e.string();break;default:e.skipType(7&n)}}return r},e}(),e}(),a.SignatureDef=function(){function e(e){if(this.inputs={},this.outputs={},e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.inputs=$util.emptyObject,e.prototype.outputs=$util.emptyObject,e.prototype.methodName=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a,r=void 0===t?e.len:e.pos+t,n=new $root.tensorflow.SignatureDef;e.pos<r;){var o=e.uint32();switch(o>>>3){case 1:e.skip().pos++,n.inputs===$util.emptyObject&&(n.inputs={}),a=e.string(),e.pos++,n.inputs[a]=$root.tensorflow.TensorInfo.decode(e,e.uint32());break;case 2:e.skip().pos++,n.outputs===$util.emptyObject&&(n.outputs={}),a=e.string(),e.pos++,n.outputs[a]=$root.tensorflow.TensorInfo.decode(e,e.uint32());break;case 3:n.methodName=e.string();break;default:e.skipType(7&o)}}return n},e}(),a.AssetFileDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.tensorInfo=null,e.prototype.filename=\"\",e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.AssetFileDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.tensorInfo=$root.tensorflow.TensorInfo.decode(e,e.uint32());break;case 2:r.filename=e.string();break;default:e.skipType(7&n)}}return r},e}(),a.OpDef=function(){function e(e){if(this.inputArg=[],this.outputArg=[],this.attr=[],e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return e.prototype.name=\"\",e.prototype.inputArg=$util.emptyArray,e.prototype.outputArg=$util.emptyArray,e.prototype.attr=$util.emptyArray,e.prototype.deprecation=null,e.prototype.summary=\"\",e.prototype.description=\"\",e.prototype.isCommutative=!1,e.prototype.isAggregate=!1,e.prototype.isStateful=!1,e.prototype.allowsUninitializedInput=!1,e.decode=function(e,t){e instanceof $Reader||(e=$Reader.create(e));for(var a=void 0===t?e.len:e.pos+t,r=new $root.tensorflow.OpDef;e.pos<a;){var n=e.uint32();switch(n>>>3){case 1:r.name=e.string();break;case 2:r.inputArg&&r.inputArg.length||(r.inputArg=[]),r.inputArg.push($root.tensorflow.OpDef.ArgDef.decode(e,e.uint32()));break;case 3:r.outputArg&&r.outputArg.length||(r.outputArg=[]),r.outputArg.push($root.tensorflow.OpDef.ArgDef.decode(e,e.uint32()));break;case 4:r.attr&&r.attr.length||(r.attr=[]),r.attr.push($root.tensorflow.OpDef.AttrDef.decode(e,e.uint32()));break;case 8:r.deprecation=$root.tensorflow.OpDef.OpDeprecation.decode(e,e.uint32());break;case 5:r.summary=e.string();break;case 6:r.description=e.string();break;case 18:r.isCommutative=e.bool();break;case 16:r.isAggregate=e.bool();break;case 17:r.isStateful=e.bool();break;case 19:r.allowsUninitializedInput=e.bool();break;default:e.skipType(7&n)}}return r},e.ArgDef=function(){function e(e){if(e)for(var t=Object.keys(e),a=0;a<t.length;++a)null!=e[t[a]]&&(this[t[a]]=e[t[a]])}return 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e(){var e=[arithmetic,basicMath,control,convolution,creation,dynamic,evaluation,logical,image$1,graph,matrices,normalization,reduction,sliceJoin,transformation],t=[].concat.apply([],e.map(function(e){return e.json}));this.opMappers=t.reduce(function(e,t){return e[t.tfOpName]=t,e},{})}return Object.defineProperty(e,\"Instance\",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),e.prototype.isControlFlow=function(e){return CONTROL_FLOW_OPS.some(function(t){return t===e.op})},e.prototype.isDynamicShape=function(e){return DYNAMIC_SHAPE_OPS.some(function(t){return t===e.op})},e.prototype.transformGraph=function(e){var t=this,a=!1,r=!1,n=[],o=[],s=e.node.reduce(function(e,s){return e[s.name]=t.mapNode(s),t.isControlFlow(s)&&(a=!0),t.isDynamicShape(s)&&(r=!0),\"Placeholder\"===s.op&&n.push(e[s.name]),\"Const\"===s.op&&o.push(e[s.name]),e},{}),i=[],p=[];return Object.keys(s).forEach(function(e){var t=s[e];t.inputNames.forEach(function(e){var 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\"+r.type+\" for op: \"+e.op)}return a[r.dlParamName]={value:i,inputIndex:n,type:s,inputParamLength:o},a},{})),r},e.prototype.getStringParam=function(e,t,a,r){void 0===r&&(r=!1);var n=e[t];if(void 0!==n){var o=String.fromCharCode.apply(null,n.s);return r?o:o.toLowerCase()}return a},e.prototype.getBoolParam=function(e,t,a){var r=e[t];return r?r.b:a},e.prototype.getNumberParam=function(e,t,a){var r=e[t],n=r?r[r.value]:a;return\"number\"==typeof n?n:n.toInt()},e.prototype.getDtypeParam=function(e,t,a){var r=e[t];if(r&&r.type)switch(r.type){case compiled_api_1.DataType.DT_FLOAT:return\"float32\";case compiled_api_1.DataType.DT_INT32:return\"int32\";case compiled_api_1.DataType.DT_BOOL:return\"bool\";default:return a}return a},e.prototype.getTensorShapeParam=function(e,t,a){var r=e[t];return r&&r.shape?r.shape.dim.map(function(e){return\"number\"==typeof e.size?e.size:e.size.toInt()}):a},e.prototype.getNumericArrayParam=function(e,t,a){var r=e[t];return r?(r.list.f&&r.list.f.length?r.list.f:r.list.i).map(function(e){return\"number\"==typeof e?e:e.toInt()}):a},e}(),executeOp=function(e,t,a){switch(e.op){case\"add\":return[add(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"addN\":return[addN(getParamValue(\"tensors\",e,t,a))];case\"mod\":return[mod(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"mul\":return[mul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"div\":return[div(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"floorDiv\":return[floorDiv(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"sub\":return[sub(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"minimum\":return[minimum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"maximum\":return[maximum(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"pow\":return[pow(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"squaredDifference\":return[squaredDifference(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$1=function(e,t,a){switch(e.op){case\"abs\":return[abs(getParamValue(\"x\",e,t,a))];case\"acos\":return[acos(getParamValue(\"x\",e,t,a))];case\"acosh\":return[acosh(getParamValue(\"x\",e,t,a))];case\"asin\":return[asin(getParamValue(\"x\",e,t,a))];case\"asinh\":return[asinh(getParamValue(\"x\",e,t,a))];case\"atan\":return[atan(getParamValue(\"x\",e,t,a))];case\"atanh\":return[atanh(getParamValue(\"x\",e,t,a))];case\"ceil\":return[ceil(getParamValue(\"x\",e,t,a))];case\"cos\":return[cos(getParamValue(\"x\",e,t,a))];case\"cosh\":return[cosh(getParamValue(\"x\",e,t,a))];case\"elu\":return[elu(getParamValue(\"x\",e,t,a))];case\"erf\":return[erf(getParamValue(\"x\",e,t,a))];case\"exp\":return[exp(getParamValue(\"x\",e,t,a))];case\"expm1\":return[expm1(getParamValue(\"x\",e,t,a))];case\"floor\":return[floor(getParamValue(\"x\",e,t,a))];case\"log\":return[log(getParamValue(\"x\",e,t,a))];case\"log1p\":return[log1p(getParamValue(\"x\",e,t,a))];case\"neg\":return[neg(getParamValue(\"x\",e,t,a))];case\"reciprocal\":return[reciprocal(getParamValue(\"x\",e,t,a))];case\"relu\":return[relu(getParamValue(\"x\",e,t,a))];case\"round\":return[round(getParamValue(\"x\",e,t,a))];case\"selu\":return[selu(getParamValue(\"x\",e,t,a))];case\"sigmoid\":return[sigmoid(getParamValue(\"x\",e,t,a))];case\"sin\":return[sin(getParamValue(\"x\",e,t,a))];case\"sign\":return[sign(getParamValue(\"x\",e,t,a))];case\"sinh\":return[sinh(getParamValue(\"x\",e,t,a))];case\"softplus\":return[softplus(getParamValue(\"x\",e,t,a))];case\"sqrt\":return[sqrt(getParamValue(\"x\",e,t,a))];case\"square\":return[square(getParamValue(\"x\",e,t,a))];case\"tanh\":return[tanh(getParamValue(\"x\",e,t,a))];case\"tan\":return[tan(getParamValue(\"x\",e,t,a))];case\"clipByValue\":return[clipByValue(getParamValue(\"x\",e,t,a),getParamValue(\"clipValueMin\",e,t,a),getParamValue(\"clipValueMax\",e,t,a))];case\"rsqrt\":return[div(scalar(1,\"float32\"),sqrt(getTensor(e.inputNames[0],t,a)))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},TensorArray=function(){function e(t,a,r,n,o,s,i){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=o,this.dynamicSize=s,this.clearAfterRead=i,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,\"closed\",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||e>=this.tensors.length)throw new Error(\"Tried to read from index \"+e+\", but array size is: \"+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error(\"TensorArray \"+this.name+\": Could not read index \"+e+\" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).\");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error(\"TensorArray \"+this.name+\" has already been closed.\");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error(\"Tried to write to index \"+e+\", but array is not resizeable and size is: \"+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\",\\n          because the value dtype is \"+t.dtype+\", but TensorArray dtype is \"+this.dtype+\".\");if(0===this.size()&&0===this.elementShape.length&&(this.elementShape=t.shape),this.assertShapesMatch(this.elementShape,t.shape,\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\".\"),a&&a.read)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been read.\");if(a&&a.written)throw new Error(\"TensorArray \"+this.name+\": Could not write to TensorArray index \"+e+\", because it has already been written.\");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error(\"TensorArray \"+this.name+\": could not write multiple tensors,because the index size: \"+e.length+\" is not the same as tensors size: \"+t.length+\".\");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but gather requested dtype \"+t);if(!e){e=[];for(var a=0;a<this.size();a++)e.push(a)}if(0===e.length)return tensor([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: \"),stack(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but concat requested dtype \"+e);if(0===this.size())return tensor([],[0].concat(this.elementShape));for(var t=[],a=0;a<this.size();a++)t.push(a);var r=this.readMany(t);return this.assertShapesMatch(this.elementShape,r[0].shape,\"TensorArray shape mismatch: tensor array shape (\"+this.elementShape+\") vs first tensor shape (\"+r[0].shape+\")\"),concat(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);if(e.length!==t.shape[0])throw new Error(\"Expected len(indices) == tensor.shape[0], but saw: \"+e.length+\" vs. \"+t.shape[0]);var a=Math.max.apply(Math,e);if(!this.dynamicSize&&a>=this.maxSize)throw new Error(\"Max index must be < array size (\"+a+\"  vs. \"+this.maxSize+\")\");this.writeMany(e,unstack(t,0))},e.prototype.split=function(e,t){var a=this;if(t.dtype!==this.dtype)throw new Error(\"TensorArray dtype is \"+this.dtype+\" but tensor has dtype \"+t.dtype);var r=0,n=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error(\"Expected sum of lengths to be equal to\\n          tensor.shape[0], but sum of lengths is\\n        \"+r+\", and tensor's shape is: \"+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(\"TensorArray's size is not equal to the size of lengths (\"+this.maxSize+\" vs. \"+e.length+\"), and the TensorArray is not marked as dynamically resizeable\");var o=0===r?0:t.size/r,s=[];tidy(function(){t=t.reshape([1,r,o]);for(var i=0;i<e.length;++i){var p=[0,0===i?0:n[i-1],0],u=[1,e[i],o];s[i]=slice(t,p,u).reshape(a.elementShape)}return s});for(var i=[],p=0;p<e.length;p++)i[p]=p;this.writeMany(i,s)},e.prototype.assertShapesMatch=function(e,t,a){void 0===a&&(a=\"\"),util.assert(this.arraysEqual(e,t),a+\" Shapes \"+e+\" and \"+t+\" must match\")},e.prototype.arraysEqual=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}();function executeOp$2(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i,p,u,m,l,d,c,f,y,h,g,N,P,b,x,I,v,O,w,V,k,T,$,_,S,A,D,E,j,C,L;return __generator(this,function(R){switch(R.label){case 0:switch(e.op){case\"loopCond\":return[3,1];case\"switch\":return[3,2];case\"merge\":return[3,4];case\"enter\":return[3,5];case\"exit\":return[3,6];case\"nextIteration\":return[3,7];case\"tensorArray\":return[3,8];case\"tensorArrayWrite\":return[3,9];case\"tensorArrayRead\":return[3,10];case\"tensorArrayGather\":return[3,11];case\"tensorArrayScatter\":return[3,12];case\"tensorArrayConcat\":return[3,13];case\"tensorArraySplit\":return[3,14];case\"tensorArraySize\":return[3,15];case\"tensorArrayClose\":return[3,16]}return[3,17];case 1:return[2,[getParamValue(\"pred\",e,t,a)]];case 2:return r=getParamValue(\"pred\",e,t,a),n=getParamValue(\"data\",e,t,a),[4,r.data()];case 3:return[2,R.sent()[0]?[void 0,n]:[n,void 0]];case 4:return[2,(o=e.inputNames.find(function(e){return void 0!==getTensor(e,t,a)}))?[getTensor(o,t,a)]:void 0];case 5:return s=getParamValue(\"frameName\",e,t,a),i=getParamValue(\"tensor\",e,t,a),a.enterFrame(s),[2,[i]];case 6:return p=getParamValue(\"tensor\",e,t,a),a.exitFrame(),[2,[p]];case 7:return u=getParamValue(\"tensor\",e,t,a),a.nextIteration(),[2,[u]];case 8:return m=getParamValue(\"size\",e,t,a),l=getParamValue(\"dtype\",e,t,a),d=getParamValue(\"elementShape\",e,t,a),c=getParamValue(\"dynamicSize\",e,t,a),f=getParamValue(\"clearAfterRead\",e,t,a),y=getParamValue(\"identicalElementShapes\",e,t,a),h=getParamValue(\"name\",e,t,a),g=new TensorArray(h,l,m,d,y,c,f),a.addTensorArray(g),[2,[scalar(g.id),scalar(1)]];case 9:return N=getParamValue(\"tensorArrayId\",e,t,a),P=getParamValue(\"index\",e,t,a),b=getParamValue(\"tensor\",e,t,a),a.getTensorArray(N).write(P,b),[2,[scalar(1)]];case 10:return x=getParamValue(\"tensorArrayId\",e,t,a),I=getParamValue(\"index\",e,t,a),[2,[a.getTensorArray(x).read(I)]];case 11:return v=getParamValue(\"tensorArrayId\",e,t,a),O=getParamValue(\"indices\",e,t,a),w=getParamValue(\"dtype\",e,t,a),[2,[a.getTensorArray(v).gather(O,w)]];case 12:return V=getParamValue(\"tensorArrayId\",e,t,a),k=getParamValue(\"indices\",e,t,a),T=getParamValue(\"tensor\",e,t,a),a.getTensorArray(V).scatter(k,T),[2,[scalar(1)]];case 13:return $=getParamValue(\"tensorArrayId\",e,t,a),_=a.getTensorArray($),S=getParamValue(\"dtype\",e,t,a),[2,[_.concat(S)]];case 14:return A=getParamValue(\"tensorArrayId\",e,t,a),D=getParamValue(\"tensor\",e,t,a),E=getParamValue(\"lengths\",e,t,a),a.getTensorArray(A).split(E,D),[2,[scalar(1)]];case 15:return j=getParamValue(\"tensorArrayId\",e,t,a),C=a.getTensorArray(j),[2,[scalar(C.size(),\"int32\")]];case 16:return L=getParamValue(\"tensorArrayId\",e,t,a),a.getTensorArray(L).clearAndClose(),[2,[]];case 17:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$3=function(e,t,a){switch(e.op){case\"conv1d\":var r=getParamValue(\"stride\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase(),s=getParamValue(\"dilation\",e,t,a);return[conv1d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),r,n,o,s)];case\"conv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();var i=getParamValue(\"dilations\",e,t,a);return[conv2d(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"conv2dTranspose\":var p=getParamValue(\"outputShape\",e,t,a);r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);return[conv2dTranspose(getParamValue(\"x\",e,t,a),getParamValue(\"filter\",e,t,a),p,[r[1],r[2]],n)];case\"depthwiseConv2d\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),i=getParamValue(\"dilations\",e,t,a),o=getParamValue(\"dataFormat\",e,t,a).toUpperCase();return[depthwiseConv2d(getParamValue(\"input\",e,t,a),getParamValue(\"filter\",e,t,a),[r[1],r[2]],n,o,[i[0],i[1]])];case\"avgPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a);var u=getParamValue(\"kernelSize\",e,t,a);return[avgPool(getParamValue(\"x\",e,t,a),[u[1],u[2]],[r[1],r[2]],n)];case\"maxPool\":r=getParamValue(\"strides\",e,t,a),n=getParamValue(\"pad\",e,t,a),u=getParamValue(\"kernelSize\",e,t,a);return[maxPool(getParamValue(\"x\",e,t,a),[u[1],u[2]],[r[1],r[2]],n)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$4=function(e,t,a){switch(e.op){case\"fill\":var r=getParamValue(\"shape\",e,t,a),n=getParamValue(\"dtype\",e,t,a),o=getParamValue(\"value\",e,t,a);return[fill(r,o,n)];case\"linspace\":var s=getParamValue(\"start\",e,t,a),i=getParamValue(\"stop\",e,t,a),p=getParamValue(\"num\",e,t,a);return[linspace(s,i,p)];case\"oneHot\":var u=getParamValue(\"indices\",e,t,a),m=getParamValue(\"depth\",e,t,a),l=getParamValue(\"onValue\",e,t,a),d=getParamValue(\"offValue\",e,t,a);return[oneHot(u,m,l,d)];case\"ones\":return[ones(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"onesLike\":return[onesLike(getParamValue(\"x\",e,t,a))];case\"randomUniform\":return[randomUniform(getParamValue(\"shape\",e,t,a),getParamValue(\"minval\",e,t,a),getParamValue(\"maxval\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"range\":s=getParamValue(\"start\",e,t,a);var c=getParamValue(\"stop\",e,t,a),f=getParamValue(\"step\",e,t,a);return[range(s,c,f,getParamValue(\"dtype\",e,t,a))];case\"truncatedNormal\":r=getParamValue(\"shape\",e,t,a);var y=getParamValue(\"mean\",e,t,a),h=getParamValue(\"stdDev\",e,t,a),g=getParamValue(\"seed\",e,t,a);return[truncatedNormal(r,y,h,getParamValue(\"dtype\",e,t,a),g)];case\"zeros\":return[zeros(getParamValue(\"shape\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"zerosLike\":return[zerosLike(getParamValue(\"x\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$5(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,o,s,i;return __generator(this,function(p){switch(p.label){case 0:switch(e.op){case\"nonMaxSuppression\":return[3,1];case\"whereAsync\":return[3,3]}return[3,5];case 1:return r=getParamValue(\"boxes\",e,t,a),n=getParamValue(\"scores\",e,t,a),o=getParamValue(\"maxOutputSize\",e,t,a),s=getParamValue(\"iouThreshold\",e,t,a),i=getParamValue(\"scoreThreshold\",e,t,a),[4,image.nonMaxSuppressionAsync(r,n,o,s,i)];case 2:return[2,[p.sent()]];case 3:return[4,whereAsync(getParamValue(\"condition\",e,t,a))];case 4:return[2,[p.sent()]];case 5:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}})})}var executeOp$6=function(e,t,a){switch(e.op){case\"topK\":var r=getParamValue(\"x\",e,t,a),n=getParamValue(\"k\",e,t,a),o=getParamValue(\"sorted\",e,t,a),s=topk(r,n,o);return[s.values,s.indices];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$7=function(e,t,a){switch(e.op){case\"const\":return t[e.name];case\"placeholder\":var r=getParamValue(\"default\",e,t,a);return[getTensor(e.name,t,a)||r];case\"identity\":case\"stopGradient\":case\"fakeQuantWithMinMaxVars\":return[getParamValue(\"x\",e,t,a)];case\"snapshot\":return[getParamValue(\"x\",e,t,a).clone()];case\"shape\":return[tensor1d(getParamValue(\"x\",e,t,a).shape,\"int32\")];case\"shapeN\":return getParamValue(\"x\",e,t,a).map(function(e){return tensor1d(e.shape)});case\"size\":return[scalar(getParamValue(\"x\",e,t,a).size,\"int32\")];case\"rank\":return[scalar(getParamValue(\"x\",e,t,a).rank,\"int32\")];case\"noop\":return[];case\"print\":var n=getParamValue(\"x\",e,t,a),o=getParamValue(\"data\",e,t,a),s=getParamValue(\"message\",e,t,a),i=getParamValue(\"summarize\",e,t,a);console.warn(\"The graph has a tf.print() operation,usually used for debugging, which slows down performance.\"),console.log(s);for(var p=0;p<o.length;p++)console.log(Array.prototype.slice.call(o[0].dataSync()).slice(0,i));return[n];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$8=function(e,t,a){switch(e.op){case\"resizeBilinear\":var r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeBilinear(r,[n[0],n[1]],o)];case\"resizeNearestNeighbor\":r=getParamValue(\"images\",e,t,a),n=getParamValue(\"size\",e,t,a),o=getParamValue(\"alignCorners\",e,t,a);return[image.resizeNearestNeighbor(r,[n[0],n[1]],o)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$9=function(e,t,a){switch(e.op){case\"equal\":return[equal(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"notEqual\":return[notEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greater\":return[greater(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"greaterEqual\":return[greaterEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"less\":return[less(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"lessEqual\":return[lessEqual(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalAnd\":return[logicalAnd(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"logicalNot\":return[logicalNot(getParamValue(\"a\",e,t,a))];case\"logicalOr\":return[logicalOr(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];case\"where\":return[where(getParamValue(\"condition\",e,t,a),getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$10=function(e,t,a){switch(e.op){case\"matMul\":return[matMul(getParamValue(\"a\",e,t,a),getParamValue(\"b\",e,t,a),getParamValue(\"transposeA\",e,t,a),getParamValue(\"transposeB\",e,t,a))];case\"transpose\":return[transpose(getParamValue(\"x\",e,t,a),getParamValue(\"perm\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$11=function(e,t,a){switch(e.op){case\"batchNormalization\":return[batchNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"mean\",e,t,a),getParamValue(\"variance\",e,t,a),getParamValue(\"epsilon\",e,t,a),getParamValue(\"scale\",e,t,a),getParamValue(\"offset\",e,t,a))];case\"localResponseNormalization\":return[localResponseNormalization(getParamValue(\"x\",e,t,a),getParamValue(\"radius\",e,t,a),getParamValue(\"bias\",e,t,a),getParamValue(\"alpha\",e,t,a),getParamValue(\"beta\",e,t,a))];case\"softmax\":return[softmax(getParamValue(\"x\",e,t,a))];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$12=function(e,t,a){switch(e.op){case\"max\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[max(getParamValue(\"x\",e,t,a),r,n)];case\"mean\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[mean(getParamValue(\"x\",e,t,a),r,n)];case\"min\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[min(getParamValue(\"x\",e,t,a),r,n)];case\"sum\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[sum(getParamValue(\"x\",e,t,a),r,n)];case\"all\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[all(getParamValue(\"x\",e,t,a),r,n)];case\"any\":r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"keepDims\",e,t,a);return[any(getParamValue(\"x\",e,t,a),r,n)];case\"argMax\":r=getParamValue(\"axis\",e,t,a);return[argMax(getParamValue(\"x\",e,t,a),r)];case\"argMin\":r=getParamValue(\"axis\",e,t,a);return[argMin(getParamValue(\"x\",e,t,a),r)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$13=function(e,t,a){switch(e.op){case\"concat\":var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a);return[concat(n,r)];case\"gather\":r=getParamValue(\"axis\",e,t,a);var o=getParamValue(\"x\",e,t,a),s=getParamValue(\"indices\",e,t,a);return[gather(o,s,r)];case\"reverse\":r=getParamValue(\"axis\",e,t,a),o=getParamValue(\"x\",e,t,a);return[reverse(o,r)];case\"slice\":var i=getParamValue(\"begin\",e,t,a),p=getParamValue(\"size\",e,t,a);return[slice(getParamValue(\"x\",e,t,a),i,p)];case\"stridedSlice\":i=getParamValue(\"begin\",e,t,a);var u=getParamValue(\"end\",e,t,a),m=getParamValue(\"strides\",e,t,a),l=getParamValue(\"beginMask\",e,t,a),d=getParamValue(\"endMask\",e,t,a),c=getParamValue(\"ellipsisMask\",e,t,a),f=getParamValue(\"newAxisMask\",e,t,a),y=getParamValue(\"shrinkAxisMask\",e,t,a),h=getParamValue(\"x\",e,t,a);if(1===i.length&&h.shape.length>1)for(var g=1;g<h.shape.length;g++)i.push(0),u.push(h.shape[g]),m.push(m[0]);return[stridedSlice(h,i,u,m,l,d,c,f,y)];case\"stack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensors\",e,t,a),o=n[0].shape,s=n[0].squeeze().shape,i=n.map(function(e){var t=util.arraysEqual(e.shape,o);if(!t&&!util.arraysEqual(e.squeeze().shape,s))throw new Error(\"the input tensors shape does not match\");return t?e:e.reshape(o)});return[stack(i,r)]});case\"unstack\":return tidy(function(){var r=getParamValue(\"axis\",e,t,a),n=getParamValue(\"tensor\",e,t,a);return unstack(n,r)});case\"tile\":var N=getParamValue(\"reps\",e,t,a);return[tile(getParamValue(\"x\",e,t,a),N)];case\"split\":r=getParamValue(\"axis\",e,t,a);var P=getParamValue(\"numOrSizeSplits\",e,t,a);return split(getParamValue(\"x\",e,t,a),P,r);default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}},executeOp$14=function(e,t,a){switch(e.op){case\"cast\":return[cast(getParamValue(\"x\",e,t,a),getParamValue(\"dtype\",e,t,a))];case\"expandDims\":var r=getParamValue(\"axis\",e,t,a);return[expandDims(getParamValue(\"x\",e,t,a),r)];case\"squeeze\":r=getParamValue(\"axis\",e,t,a);return[squeeze(getParamValue(\"x\",e,t,a),r)];case\"reshape\":return[reshape(getParamValue(\"x\",e,t,a),getParamValue(\"shape\",e,t,a))];case\"pad\":return[pad(getParamValue(\"x\",e,t,a),split$1(getParamValue(\"padding\",e,t,a),2),getParamValue(\"constantValue\",e,t,a))];case\"spaceToBatchND\":var n=getParamValue(\"blockShape\",e,t,a),o=split$1(getParamValue(\"paddings\",e,t,a),2);return[spaceToBatchND(getParamValue(\"x\",e,t,a),n,o)];case\"batchToSpaceND\":n=getParamValue(\"blockShape\",e,t,a);var s=split$1(getParamValue(\"crops\",e,t,a),2);return[batchToSpaceND(getParamValue(\"x\",e,t,a),n,s)];default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}};function executeOp$15(e,t,a){switch(e.category){case\"arithmetic\":return executeOp(e,t,a);case\"basic_math\":return executeOp$1(e,t,a);case\"control\":return executeOp$2(e,t,a);case\"convolution\":return executeOp$3(e,t,a);case\"creation\":return executeOp$4(e,t,a);case\"dynamic\":return executeOp$5(e,t,a);case\"evaluation\":return executeOp$6(e,t,a);case\"image\":return executeOp$8(e,t,a);case\"graph\":return executeOp$7(e,t,a);case\"logical\":return executeOp$9(e,t,a);case\"matrices\":return executeOp$10(e,t,a);case\"normalization\":return executeOp$11(e,t,a);case\"reduction\":return executeOp$12(e,t,a);case\"slice_join\":return executeOp$13(e,t,a);case\"transformation\":return executeOp$14(e,t,a);default:throw TypeError(\"Node type \"+e.op+\" is not implemented\")}}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:\"\",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,\"currentContext\",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextId\",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"currentContextIds\",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(\"\"),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?\"\":e.frameName+\"-\"+e.iterationId}).join(\"/\"):\"\"},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error(\"Cannot exit frame, the context is empty\");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error(\"Cannot increase frame iteration, the context is empty\");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}(),GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=\",\",this.placeholders=e.placeholders,this._outputs=e.outputs,this.compile()}return Object.defineProperty(e.prototype,\"weightMap\",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.placeholders.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.params.shape?e.params.shape.value:void 0,dtype:e.params.dtype?e.params.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.placeholders.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.outputs.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isControlFlowModel\",{get:function(){return this.graph.withControlFlow},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"isDynamicShapeModel\",{get:function(){return this.graph.withDynamicShape},enumerable:!0,configurable:!0}),e.prototype.compile=function(e){if(!this.graph.withControlFlow&&!this.graph.withDynamicShape){var t=[],a=e||this.graph.placeholders,r=a.map(function(e){return e.name}).sort().join(this.SEPERATOR);if(!this.compiledMap.get(r)){for(var n=a.concat(this.graph.weights),o={};n.length>0;){var s=n.pop();o[s.name]=!0,t.push(s),s.children.forEach(function(e){!o[e.name]&&e.inputNames.every(function(e){var t=getNodeNameAndIndex(e)[0];return o[t]})&&n.push(e)})}this.compiledMap.set(r,t)}}},e.prototype.execute=function(e,t,a){var r=this;void 0===t&&(t=!0);var n=Object.keys(e).sort();this.checkInput(e,t),this.checkInputShapeAndType(e,t),this.compile(n.map(function(e){return r.graph.nodes[e]}));var o=this.calculateOutputs(a);this.checkOutput(this.compiledMap.get(n.join(this.SEPERATOR)),o);var s={};return tidy(function(){for(var t=new ExecutionContext(r._weightMap,s),a=__assign({},r.weightMap,e),i=r.compiledMap.get(n.join(r.SEPERATOR)),p=0;p<i.length;p++){var u=i[p];if(a[u.name]||(a[u.name]=executeOp$15(u,a,t)),o.every(function(e){return!!a[e]}))break}return r.findOutputs(a,t,o)})},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p,u=this;return __generator(this,function(m){switch(m.label){case 0:return this.checkInput(e,!1),this.checkInputShapeAndType(e,!1),a={},r=new ExecutionContext(this._weightMap,a),[4,this.executeWithControlFlow(e,r)];case 1:return n=m.sent(),o=this.findOutputs(n,r,t),s=Object.keys(o).map(function(e){return o[e].id}),i=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})}),p=[].concat.apply([],i),Object.keys(n).forEach(function(e){n[e].forEach(function(e){e&&-1===s.indexOf(e.id)&&-1===p.indexOf(e.id)&&-1===u.weightIds.indexOf(e.id)&&e.dispose()})}),[2,o]}})})},e.prototype.executeWithControlFlow=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,o,s,i,p=this;return __generator(this,function(u){switch(u.label){case 0:a=Object.keys(e),r=a.map(function(e){return p.graph.nodes[e]}),n=r.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),o=__assign({},this.weightMap,e),s={},u.label=1;case 1:return n.length>0?(i=this.processStack(r,n,t,o,s),[4,Promise.all(i)]):[3,3];case 2:return u.sent(),[3,1];case 3:return[2,o]}})})},e.prototype.processStack=function(e,t,a,r,n){for(var o=this,s=[],i=function(){var i=t.pop();a.currentContext=i.contexts;var u=\"\";if(\"enter\"===i.node.op&&getParamValue(\"isConstant\",i.node,r,a)&&(u=getNodeNameAndIndex(i.node.name,a)[0]),-1===e.indexOf(i.node)){var m=executeOp$15(i.node,r,a);u||(u=getNodeNameAndIndex(i.node.name,a)[0]);var l=a.currentContext;m instanceof Promise?s.push(m.then(function(e){return r[u]=e,a.currentContext=l,o.processChildNodes(i.node,t,a,r,n),e})):(r[u]=m,p.processChildNodes(i.node,t,a,r,n))}else p.processChildNodes(i.node,t,a,r,n)},p=this;t.length>0;)i();return s},e.prototype.processChildNodes=function(e,t,a,r,n){e.children.forEach(function(e){var o=getNodeNameAndIndex(e.name,a)[0];n[o]||(\"merge\"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.calculateOutputs=function(e){return!e||e instanceof Array||(e=[e]),e||this.graph.outputs.map(function(e){return e.name})},e.prototype.findOutputs=function(e,t,a){return this.calculateOutputs(a).reduce(function(a,r){return a[r]=getTensor(r,e,t),a},{})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e,t){void 0===t&&(t=!0),this.placeholders.forEach(function(a){var r=e[a.name];if(t||r){var n=r[0];if(a.params.shape&&a.params.shape.value){var o=a.params.shape.value,s=o.length===n.shape.length&&n.shape.every(function(e,t){return-1===o[t]||o[t]===e});util.assert(s,\"The shape of dict['\"+a.name+\"'] provided in model.execute(dict) must be [\"+o+\"], but was [\"+n.shape+\"]\")}a.params.dtype&&a.params.dtype.value&&util.assert(n.dtype===a.params.dtype.value,\"The dtype of dict['\"+a.name+\"'] provided in model.execute(dict) must be \"+a.params.dtype.value+\", but was \"+n.dtype)}})},e.prototype.checkInput=function(e,t){var a=this;void 0===t&&(t=!0);var r=Object.keys(e),n=[],o=[];this.inputNodes.forEach(function(e){-1===r.indexOf(e)&&n.push(e)}),r.forEach(function(e){-1===a.inputNodes.indexOf(e)&&o.push(e)});var s=o.filter(function(e){return!a.graph.nodes[e]});if(n.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has the keys [\"+r+\"], but is missing the required keys: [\"+n+\"].\");if(o.length>0&&t)throw new Error(\"The dict provided in model.execute(dict) has unused keys: [\"+o+\"]. Please provide only the following keys: [\"+this.inputNodes+\"].\");if(s.length>0)throw new Error(\"The dict provided in model.execute(dict) has keys: [\"+s+\"] not part of model graph.\")},e.prototype.checkOutput=function(e,t){var a=e.map(function(e){return e.name}),r=[];if(t.forEach(function(e){-1===a.indexOf(e)&&r.push(e)}),r.length>0)throw new Error(\"The following outputs are not be generated by the execution: [\"+r+\"].\")},e}(),FrozenModel=function(){function e(e,t,a){this.modelUrl=e,this.weightManifestUrl=t,this.requestOption=a,this.version=\"n/a\"}return Object.defineProperty(e.prototype,\"modelVersion\",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputNodes\",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputNodes\",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"inputs\",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"outputs\",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"weights\",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=[this.modelUrl,this.weightManifestUrl];if(this.requestOption)this.handler=io.browserHTTPRequest(e,this.requestOption);else{var t=io.getLoadHandlers(e);if(0===t.length)t.push(io.browserHTTPRequest(e,this.requestOption));else if(t.length>1)throw new Error(\"Found more than one (\"+t.length+\") load handlers for URL '\"+[e]+\"'\");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,a;return __generator(this,function(r){switch(r.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,this.handler.load()];case 1:return e=r.sent(),t=compiled_api_1.GraphDef.decode(new Uint8Array(e.modelTopology)),this.version=t.versions.producer+\".\"+t.versions.minConsumer,a=io.decodeWeights(e.weightData,e.weightSpecs),this.executor=new GraphExecutor(OperationMapper.Instance.transformGraph(t)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),[2,!0]}})})},e.prototype.predict=function(e,t){return this.execute_(e,!0,this.outputNodes)},e.prototype.constructTensorMap=function(e){var t=e instanceof Tensor?[e]:e;if(t.length!==this.inputNodes.length)throw new Error(\"Input tensor count mismatch,the frozen model has \"+this.inputNodes.length+\" placeholders, while there are \"+t.length+\" input tensors.\");return this.inputNodes.reduce(function(e,a,r){return e[a]=t[r],e},{})},e.prototype.execute=function(e,t){return this.execute_(e,!1,t)},e.prototype.execute_=function(e,t,a){if(void 0===t&&(t=!0),a=a||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),this.executor.isControlFlowModel||this.executor.isDynamicShapeModel)throw new Error(\"The model contains control flow or dynamic shape ops, please use executeAsync method\");var r=this.executor.execute(this.convertTensorMapToTensorsMap(e),t,a),n=Object.keys(r);return Array.isArray(a)&&a.length>1?a.map(function(e){return r[e]}):r[n[0]]},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r;return __generator(this,function(n){switch(n.label){case 0:if(!this.executor.isControlFlowModel&&!this.executor.isDynamicShapeModel)throw new Error(\"The model does not contain control flow or dynamic shape ops, please use execute method for better performance.\");return t=t||this.outputNodes,(e instanceof Tensor||Array.isArray(e))&&(e=this.constructTensorMap(e)),[4,this.executor.executeAsync(this.convertTensorMapToTensorsMap(e),t)];case 1:return a=n.sent(),r=Object.keys(a),[2,Array.isArray(t)&&t.length>1?t.map(function(e){return a[e]}):a[r[0]]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function loadFrozenModel(e,t,a){return __awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(n){switch(n.label){case 0:return[4,(r=new FrozenModel(e,t,a)).load()];case 1:return n.sent(),[2,r]}})})}var version=\"0.6.0\";export{FrozenModel,loadFrozenModel,version as version_converter};\n//# sourceMappingURL=tf-converter.esm.js.map\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _isIterable2 = require(\"../core-js/is-iterable\");\n\nvar _isIterable3 = _interopRequireDefault(_isIterable2);\n\nvar _getIterator2 = require(\"../core-js/get-iterator\");\n\nvar _getIterator3 = _interopRequireDefault(_getIterator2);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function () {\n  function sliceIterator(arr, i) {\n    var _arr = [];\n    var _n = true;\n    var _d = false;\n    var _e = undefined;\n\n    try {\n      for (var _i = (0, _getIterator3.default)(arr), _s; !(_n = (_s = _i.next()).done); _n = true) {\n        _arr.push(_s.value);\n\n        if (i && _arr.length === i) break;\n      }\n    } catch (err) {\n      _d = true;\n      _e = err;\n    } finally {\n      try {\n        if (!_n && _i[\"return\"]) _i[\"return\"]();\n      } finally {\n        if (_d) throw _e;\n      }\n    }\n\n    return _arr;\n  }\n\n  return function (arr, i) {\n    if (Array.isArray(arr)) {\n      return arr;\n    } else if ((0, _isIterable3.default)(Object(arr))) {\n      return sliceIterator(arr, i);\n    } else {\n      throw new TypeError(\"Invalid attempt to destructure non-iterable instance\");\n    }\n  };\n}();","module.exports = { \"default\": require(\"core-js/library/fn/array/from\"), __esModule: true };","module.exports = { \"default\": require(\"core-js/library/fn/json/stringify\"), __esModule: true };","var global = require('./_global');\nvar core = require('./_core');\nvar LIBRARY = require('./_library');\nvar wksExt = require('./_wks-ext');\nvar defineProperty = require('./_object-dp').f;\nmodule.exports = function (name) {\n  var $Symbol = core.Symbol || (core.Symbol = LIBRARY ? {} : global.Symbol || {});\n  if (name.charAt(0) != '_' && !(name in $Symbol)) defineProperty($Symbol, name, { value: wksExt.f(name) });\n};\n","var META = require('./_uid')('meta');\nvar isObject = require('./_is-object');\nvar has = require('./_has');\nvar setDesc = require('./_object-dp').f;\nvar id = 0;\nvar isExtensible = Object.isExtensible || function () {\n  return true;\n};\nvar FREEZE = !require('./_fails')(function () {\n  return isExtensible(Object.preventExtensions({}));\n});\nvar setMeta = function (it) {\n  setDesc(it, META, { value: {\n    i: 'O' + ++id, // object ID\n    w: {}          // weak collections IDs\n  } });\n};\nvar fastKey = function (it, create) {\n  // return primitive with prefix\n  if (!isObject(it)) return typeof it == 'symbol' ? it : (typeof it == 'string' ? 'S' : 'P') + it;\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return 'F';\n    // not necessary to add metadata\n    if (!create) return 'E';\n    // add missing metadata\n    setMeta(it);\n  // return object ID\n  } return it[META].i;\n};\nvar getWeak = function (it, create) {\n  if (!has(it, META)) {\n    // can't set metadata to uncaught frozen object\n    if (!isExtensible(it)) return true;\n    // not necessary to add metadata\n    if (!create) return false;\n    // add missing metadata\n    setMeta(it);\n  // return hash weak collections IDs\n  } return it[META].w;\n};\n// add metadata on freeze-family methods calling\nvar onFreeze = function (it) {\n  if (FREEZE && meta.NEED && isExtensible(it) && !has(it, META)) setMeta(it);\n  return it;\n};\nvar meta = module.exports = {\n  KEY: META,\n  NEED: false,\n  fastKey: fastKey,\n  getWeak: getWeak,\n  onFreeze: onFreeze\n};\n","exports.f = require('./_wks');\n","var hide = require('./_hide');\nmodule.exports = function (target, src, safe) {\n  for (var key in src) {\n    if (safe && target[key]) target[key] = src[key];\n    else hide(target, key, src[key]);\n  } return target;\n};\n","'use strict';\n// 25.4.1.5 NewPromiseCapability(C)\nvar aFunction = require('./_a-function');\n\nfunction PromiseCapability(C) {\n  var resolve, reject;\n  this.promise = new C(function ($$resolve, $$reject) {\n    if (resolve !== undefined || reject !== undefined) throw TypeError('Bad Promise constructor');\n    resolve = $$resolve;\n    reject = $$reject;\n  });\n  this.resolve = aFunction(resolve);\n  this.reject = aFunction(reject);\n}\n\nmodule.exports.f = function (C) {\n  return new PromiseCapability(C);\n};\n","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').getIteratorMethod = function (it) {\n  if (it != undefined) return it[ITERATOR]\n    || it['@@iterator']\n    || Iterators[classof(it)];\n};\n","module.exports = function (it, Constructor, name, forbiddenField) {\n  if (!(it instanceof Constructor) || (forbiddenField !== undefined && forbiddenField in it)) {\n    throw TypeError(name + ': incorrect invocation!');\n  } return it;\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar $iterCreate = require('./_iter-create');\nvar setToStringTag = require('./_set-to-string-tag');\nvar getPrototypeOf = require('./_object-gpo');\nvar ITERATOR = require('./_wks')('iterator');\nvar BUGGY = !([].keys && 'next' in [].keys()); // Safari has buggy iterators w/o `next`\nvar FF_ITERATOR = '@@iterator';\nvar KEYS = 'keys';\nvar VALUES = 'values';\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (Base, NAME, Constructor, next, DEFAULT, IS_SET, FORCED) {\n  $iterCreate(Constructor, NAME, next);\n  var getMethod = function (kind) {\n    if (!BUGGY && kind in proto) return proto[kind];\n    switch (kind) {\n      case KEYS: return function keys() { return new Constructor(this, kind); };\n      case VALUES: return function values() { return new Constructor(this, kind); };\n    } return function entries() { return new Constructor(this, kind); };\n  };\n  var TAG = NAME + ' Iterator';\n  var DEF_VALUES = DEFAULT == VALUES;\n  var VALUES_BUG = false;\n  var proto = Base.prototype;\n  var $native = proto[ITERATOR] || proto[FF_ITERATOR] || DEFAULT && proto[DEFAULT];\n  var $default = $native || getMethod(DEFAULT);\n  var $entries = DEFAULT ? !DEF_VALUES ? $default : getMethod('entries') : undefined;\n  var $anyNative = NAME == 'Array' ? proto.entries || $native : $native;\n  var methods, key, IteratorPrototype;\n  // Fix native\n  if ($anyNative) {\n    IteratorPrototype = getPrototypeOf($anyNative.call(new Base()));\n    if (IteratorPrototype !== Object.prototype && IteratorPrototype.next) {\n      // Set @@toStringTag to native iterators\n      setToStringTag(IteratorPrototype, TAG, true);\n      // fix for some old engines\n      if (!LIBRARY && typeof IteratorPrototype[ITERATOR] != 'function') hide(IteratorPrototype, ITERATOR, returnThis);\n    }\n  }\n  // fix Array#{values, @@iterator}.name in V8 / FF\n  if (DEF_VALUES && $native && $native.name !== VALUES) {\n    VALUES_BUG = true;\n    $default = function values() { return $native.call(this); };\n  }\n  // Define iterator\n  if ((!LIBRARY || FORCED) && (BUGGY || VALUES_BUG || !proto[ITERATOR])) {\n    hide(proto, ITERATOR, $default);\n  }\n  // Plug for library\n  Iterators[NAME] = $default;\n  Iterators[TAG] = returnThis;\n  if (DEFAULT) {\n    methods = {\n      values: DEF_VALUES ? $default : getMethod(VALUES),\n      keys: IS_SET ? $default : getMethod(KEYS),\n      entries: $entries\n    };\n    if (FORCED) for (key in methods) {\n      if (!(key in proto)) redefine(proto, key, methods[key]);\n    } else $export($export.P + $export.F * (BUGGY || VALUES_BUG), NAME, methods);\n  }\n  return methods;\n};\n","var hash = exports;\n\nhash.utils = require('./hash/utils');\nhash.common = require('./hash/common');\nhash.sha = require('./hash/sha');\nhash.ripemd = require('./hash/ripemd');\nhash.hmac = require('./hash/hmac');\n\n// Proxy hash functions to the main object\nhash.sha1 = hash.sha.sha1;\nhash.sha256 = hash.sha.sha256;\nhash.sha224 = hash.sha.sha224;\nhash.sha384 = hash.sha.sha384;\nhash.sha512 = hash.sha.sha512;\nhash.ripemd160 = hash.ripemd.ripemd160;\n","var bn = require('bn.js');\nvar randomBytes = require('randombytes');\nmodule.exports = crt;\nfunction blind(priv) {\n  var r = getr(priv);\n  var blinder = r.toRed(bn.mont(priv.modulus))\n  .redPow(new bn(priv.publicExponent)).fromRed();\n  return {\n    blinder: blinder,\n    unblinder:r.invm(priv.modulus)\n  };\n}\nfunction crt(msg, priv) {\n  var blinds = blind(priv);\n  var len = priv.modulus.byteLength();\n  var mod = bn.mont(priv.modulus);\n  var blinded = new bn(msg).mul(blinds.blinder).umod(priv.modulus);\n  var c1 = blinded.toRed(bn.mont(priv.prime1));\n  var c2 = blinded.toRed(bn.mont(priv.prime2));\n  var qinv = priv.coefficient;\n  var p = priv.prime1;\n  var q = priv.prime2;\n  var m1 = c1.redPow(priv.exponent1);\n  var m2 = c2.redPow(priv.exponent2);\n  m1 = m1.fromRed();\n  m2 = m2.fromRed();\n  var h = m1.isub(m2).imul(qinv).umod(p);\n  h.imul(q);\n  m2.iadd(h);\n  return new Buffer(m2.imul(blinds.unblinder).umod(priv.modulus).toArray(false, len));\n}\ncrt.getr = getr;\nfunction getr(priv) {\n  var len = priv.modulus.byteLength();\n  var r = new bn(randomBytes(len));\n  while (r.cmp(priv.modulus) >=  0 || !r.umod(priv.prime1) || !r.umod(priv.prime2)) {\n    r = new bn(randomBytes(len));\n  }\n  return r;\n}\n","var modeModules = {\n  ECB: require('./ecb'),\n  CBC: require('./cbc'),\n  CFB: require('./cfb'),\n  CFB8: require('./cfb8'),\n  CFB1: require('./cfb1'),\n  OFB: require('./ofb'),\n  CTR: require('./ctr'),\n  GCM: require('./ctr')\n}\n\nvar modes = require('./list.json')\n\nfor (var key in modes) {\n  modes[key].module = modeModules[modes[key].mode]\n}\n\nmodule.exports = modes\n","var ciphers = require('./encrypter')\nvar deciphers = require('./decrypter')\nvar modes = require('./modes/list.json')\n\nfunction getCiphers () {\n  return Object.keys(modes)\n}\n\nexports.createCipher = exports.Cipher = ciphers.createCipher\nexports.createCipheriv = exports.Cipheriv = ciphers.createCipheriv\nexports.createDecipher = exports.Decipher = deciphers.createDecipher\nexports.createDecipheriv = exports.Decipheriv = deciphers.createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","'use strict';\n\nexports.utils = require('./des/utils');\nexports.Cipher = require('./des/cipher');\nexports.DES = require('./des/des');\nexports.CBC = require('./des/cbc');\nexports.EDE = require('./des/ede');\n","var exports = module.exports = function SHA (algorithm) {\n  algorithm = algorithm.toLowerCase()\n\n  var Algorithm = exports[algorithm]\n  if (!Algorithm) throw new Error(algorithm + ' is not supported (we accept pull requests)')\n\n  return new Algorithm()\n}\n\nexports.sha = require('./sha')\nexports.sha1 = require('./sha1')\nexports.sha224 = require('./sha224')\nexports.sha256 = require('./sha256')\nexports.sha384 = require('./sha384')\nexports.sha512 = require('./sha512')\n","'use strict'\nvar Buffer = require('buffer').Buffer\nvar inherits = require('inherits')\nvar HashBase = require('hash-base')\n\nvar ARRAY16 = new Array(16)\n\nvar zl = [\n  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,\n  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,\n  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,\n  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13\n]\n\nvar zr = [\n  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,\n  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,\n  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,\n  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,\n  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11\n]\n\nvar sl = [\n  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,\n  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,\n  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,\n  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,\n  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6\n]\n\nvar sr = [\n  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,\n  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,\n  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,\n  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,\n  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11\n]\n\nvar hl = [0x00000000, 0x5a827999, 0x6ed9eba1, 0x8f1bbcdc, 0xa953fd4e]\nvar hr = [0x50a28be6, 0x5c4dd124, 0x6d703ef3, 0x7a6d76e9, 0x00000000]\n\nfunction RIPEMD160 () {\n  HashBase.call(this, 64)\n\n  // state\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n}\n\ninherits(RIPEMD160, HashBase)\n\nRIPEMD160.prototype._update = function () {\n  var words = ARRAY16\n  for (var j = 0; j < 16; ++j) words[j] = this._block.readInt32LE(j * 4)\n\n  var al = this._a | 0\n  var bl = this._b | 0\n  var cl = this._c | 0\n  var dl = this._d | 0\n  var el = this._e | 0\n\n  var ar = this._a | 0\n  var br = this._b | 0\n  var cr = this._c | 0\n  var dr = this._d | 0\n  var er = this._e | 0\n\n  // computation\n  for (var i = 0; i < 80; i += 1) {\n    var tl\n    var tr\n    if (i < 16) {\n      tl = fn1(al, bl, cl, dl, el, words[zl[i]], hl[0], sl[i])\n      tr = fn5(ar, br, cr, dr, er, words[zr[i]], hr[0], sr[i])\n    } else if (i < 32) {\n      tl = fn2(al, bl, cl, dl, el, words[zl[i]], hl[1], sl[i])\n      tr = fn4(ar, br, cr, dr, er, words[zr[i]], hr[1], sr[i])\n    } else if (i < 48) {\n      tl = fn3(al, bl, cl, dl, el, words[zl[i]], hl[2], sl[i])\n      tr = fn3(ar, br, cr, dr, er, words[zr[i]], hr[2], sr[i])\n    } else if (i < 64) {\n      tl = fn4(al, bl, cl, dl, el, words[zl[i]], hl[3], sl[i])\n      tr = fn2(ar, br, cr, dr, er, words[zr[i]], hr[3], sr[i])\n    } else { // if (i<80) {\n      tl = fn5(al, bl, cl, dl, el, words[zl[i]], hl[4], sl[i])\n      tr = fn1(ar, br, cr, dr, er, words[zr[i]], hr[4], sr[i])\n    }\n\n    al = el\n    el = dl\n    dl = rotl(cl, 10)\n    cl = bl\n    bl = tl\n\n    ar = er\n    er = dr\n    dr = rotl(cr, 10)\n    cr = br\n    br = tr\n  }\n\n  // update state\n  var t = (this._b + cl + dr) | 0\n  this._b = (this._c + dl + er) | 0\n  this._c = (this._d + el + ar) | 0\n  this._d = (this._e + al + br) | 0\n  this._e = (this._a + bl + cr) | 0\n  this._a = t\n}\n\nRIPEMD160.prototype._digest = function () {\n  // create padding and handle blocks\n  this._block[this._blockOffset++] = 0x80\n  if (this._blockOffset > 56) {\n    this._block.fill(0, this._blockOffset, 64)\n    this._update()\n    this._blockOffset = 0\n  }\n\n  this._block.fill(0, this._blockOffset, 56)\n  this._block.writeUInt32LE(this._length[0], 56)\n  this._block.writeUInt32LE(this._length[1], 60)\n  this._update()\n\n  // produce result\n  var buffer = Buffer.alloc ? Buffer.alloc(20) : new Buffer(20)\n  buffer.writeInt32LE(this._a, 0)\n  buffer.writeInt32LE(this._b, 4)\n  buffer.writeInt32LE(this._c, 8)\n  buffer.writeInt32LE(this._d, 12)\n  buffer.writeInt32LE(this._e, 16)\n  return buffer\n}\n\nfunction rotl (x, n) {\n  return (x << n) | (x >>> (32 - n))\n}\n\nfunction fn1 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn2 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn3 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b | (~c)) ^ d) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn4 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn5 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + (b ^ (c | (~d))) + m + k) | 0, s) + e) | 0\n}\n\nmodule.exports = RIPEMD160\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\n/*</replacement>*/\n\nvar isEncoding = Buffer.isEncoding || function (encoding) {\n  encoding = '' + encoding;\n  switch (encoding && encoding.toLowerCase()) {\n    case 'hex':case 'utf8':case 'utf-8':case 'ascii':case 'binary':case 'base64':case 'ucs2':case 'ucs-2':case 'utf16le':case 'utf-16le':case 'raw':\n      return true;\n    default:\n      return false;\n  }\n};\n\nfunction _normalizeEncoding(enc) {\n  if (!enc) return 'utf8';\n  var retried;\n  while (true) {\n    switch (enc) {\n      case 'utf8':\n      case 'utf-8':\n        return 'utf8';\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return 'utf16le';\n      case 'latin1':\n      case 'binary':\n        return 'latin1';\n      case 'base64':\n      case 'ascii':\n      case 'hex':\n        return enc;\n      default:\n        if (retried) return; // undefined\n        enc = ('' + enc).toLowerCase();\n        retried = true;\n    }\n  }\n};\n\n// Do not cache `Buffer.isEncoding` when checking encoding names as some\n// modules monkey-patch it to support additional encodings\nfunction normalizeEncoding(enc) {\n  var nenc = _normalizeEncoding(enc);\n  if (typeof nenc !== 'string' && (Buffer.isEncoding === isEncoding || !isEncoding(enc))) throw new Error('Unknown encoding: ' + enc);\n  return nenc || enc;\n}\n\n// StringDecoder provides an interface for efficiently splitting a series of\n// buffers into a series of JS strings without breaking apart multi-byte\n// characters.\nexports.StringDecoder = StringDecoder;\nfunction StringDecoder(encoding) {\n  this.encoding = normalizeEncoding(encoding);\n  var nb;\n  switch (this.encoding) {\n    case 'utf16le':\n      this.text = utf16Text;\n      this.end = utf16End;\n      nb = 4;\n      break;\n    case 'utf8':\n      this.fillLast = utf8FillLast;\n      nb = 4;\n      break;\n    case 'base64':\n      this.text = base64Text;\n      this.end = base64End;\n      nb = 3;\n      break;\n    default:\n      this.write = simpleWrite;\n      this.end = simpleEnd;\n      return;\n  }\n  this.lastNeed = 0;\n  this.lastTotal = 0;\n  this.lastChar = Buffer.allocUnsafe(nb);\n}\n\nStringDecoder.prototype.write = function (buf) {\n  if (buf.length === 0) return '';\n  var r;\n  var i;\n  if (this.lastNeed) {\n    r = this.fillLast(buf);\n    if (r === undefined) return '';\n    i = this.lastNeed;\n    this.lastNeed = 0;\n  } else {\n    i = 0;\n  }\n  if (i < buf.length) return r ? r + this.text(buf, i) : this.text(buf, i);\n  return r || '';\n};\n\nStringDecoder.prototype.end = utf8End;\n\n// Returns only complete characters in a Buffer\nStringDecoder.prototype.text = utf8Text;\n\n// Attempts to complete a partial non-UTF-8 character using bytes from a Buffer\nStringDecoder.prototype.fillLast = function (buf) {\n  if (this.lastNeed <= buf.length) {\n    buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, this.lastNeed);\n    return this.lastChar.toString(this.encoding, 0, this.lastTotal);\n  }\n  buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, buf.length);\n  this.lastNeed -= buf.length;\n};\n\n// Checks the type of a UTF-8 byte, whether it's ASCII, a leading byte, or a\n// continuation byte. If an invalid byte is detected, -2 is returned.\nfunction utf8CheckByte(byte) {\n  if (byte <= 0x7F) return 0;else if (byte >> 5 === 0x06) return 2;else if (byte >> 4 === 0x0E) return 3;else if (byte >> 3 === 0x1E) return 4;\n  return byte >> 6 === 0x02 ? -1 : -2;\n}\n\n// Checks at most 3 bytes at the end of a Buffer in order to detect an\n// incomplete multi-byte UTF-8 character. The total number of bytes (2, 3, or 4)\n// needed to complete the UTF-8 character (if applicable) are returned.\nfunction utf8CheckIncomplete(self, buf, i) {\n  var j = buf.length - 1;\n  if (j < i) return 0;\n  var nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) self.lastNeed = nb - 1;\n    return nb;\n  }\n  if (--j < i || nb === -2) return 0;\n  nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) self.lastNeed = nb - 2;\n    return nb;\n  }\n  if (--j < i || nb === -2) return 0;\n  nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) {\n      if (nb === 2) nb = 0;else self.lastNeed = nb - 3;\n    }\n    return nb;\n  }\n  return 0;\n}\n\n// Validates as many continuation bytes for a multi-byte UTF-8 character as\n// needed or are available. If we see a non-continuation byte where we expect\n// one, we \"replace\" the validated continuation bytes we've seen so far with\n// a single UTF-8 replacement character ('\\ufffd'), to match v8's UTF-8 decoding\n// behavior. The continuation byte check is included three times in the case\n// where all of the continuation bytes for a character exist in the same buffer.\n// It is also done this way as a slight performance increase instead of using a\n// loop.\nfunction utf8CheckExtraBytes(self, buf, p) {\n  if ((buf[0] & 0xC0) !== 0x80) {\n    self.lastNeed = 0;\n    return '\\ufffd';\n  }\n  if (self.lastNeed > 1 && buf.length > 1) {\n    if ((buf[1] & 0xC0) !== 0x80) {\n      self.lastNeed = 1;\n      return '\\ufffd';\n    }\n    if (self.lastNeed > 2 && buf.length > 2) {\n      if ((buf[2] & 0xC0) !== 0x80) {\n        self.lastNeed = 2;\n        return '\\ufffd';\n      }\n    }\n  }\n}\n\n// Attempts to complete a multi-byte UTF-8 character using bytes from a Buffer.\nfunction utf8FillLast(buf) {\n  var p = this.lastTotal - this.lastNeed;\n  var r = utf8CheckExtraBytes(this, buf, p);\n  if (r !== undefined) return r;\n  if (this.lastNeed <= buf.length) {\n    buf.copy(this.lastChar, p, 0, this.lastNeed);\n    return this.lastChar.toString(this.encoding, 0, this.lastTotal);\n  }\n  buf.copy(this.lastChar, p, 0, buf.length);\n  this.lastNeed -= buf.length;\n}\n\n// Returns all complete UTF-8 characters in a Buffer. If the Buffer ended on a\n// partial character, the character's bytes are buffered until the required\n// number of bytes are available.\nfunction utf8Text(buf, i) {\n  var total = utf8CheckIncomplete(this, buf, i);\n  if (!this.lastNeed) return buf.toString('utf8', i);\n  this.lastTotal = total;\n  var end = buf.length - (total - this.lastNeed);\n  buf.copy(this.lastChar, 0, end);\n  return buf.toString('utf8', i, end);\n}\n\n// For UTF-8, a replacement character is added when ending on a partial\n// character.\nfunction utf8End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) return r + '\\ufffd';\n  return r;\n}\n\n// UTF-16LE typically needs two bytes per character, but even if we have an even\n// number of bytes available, we need to check if we end on a leading/high\n// surrogate. In that case, we need to wait for the next two bytes in order to\n// decode the last character properly.\nfunction utf16Text(buf, i) {\n  if ((buf.length - i) % 2 === 0) {\n    var r = buf.toString('utf16le', i);\n    if (r) {\n      var c = r.charCodeAt(r.length - 1);\n      if (c >= 0xD800 && c <= 0xDBFF) {\n        this.lastNeed = 2;\n        this.lastTotal = 4;\n        this.lastChar[0] = buf[buf.length - 2];\n        this.lastChar[1] = buf[buf.length - 1];\n        return r.slice(0, -1);\n      }\n    }\n    return r;\n  }\n  this.lastNeed = 1;\n  this.lastTotal = 2;\n  this.lastChar[0] = buf[buf.length - 1];\n  return buf.toString('utf16le', i, buf.length - 1);\n}\n\n// For UTF-16LE we do not explicitly append special replacement characters if we\n// end on a partial character, we simply let v8 handle that.\nfunction utf16End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) {\n    var end = this.lastTotal - this.lastNeed;\n    return r + this.lastChar.toString('utf16le', 0, end);\n  }\n  return r;\n}\n\nfunction base64Text(buf, i) {\n  var n = (buf.length - i) % 3;\n  if (n === 0) return buf.toString('base64', i);\n  this.lastNeed = 3 - n;\n  this.lastTotal = 3;\n  if (n === 1) {\n    this.lastChar[0] = buf[buf.length - 1];\n  } else {\n    this.lastChar[0] = buf[buf.length - 2];\n    this.lastChar[1] = buf[buf.length - 1];\n  }\n  return buf.toString('base64', i, buf.length - n);\n}\n\nfunction base64End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) return r + this.lastChar.toString('base64', 0, 3 - this.lastNeed);\n  return r;\n}\n\n// Pass bytes on through for single-byte encodings (e.g. ascii, latin1, hex)\nfunction simpleWrite(buf) {\n  return buf.toString(this.encoding);\n}\n\nfunction simpleEnd(buf) {\n  return buf && buf.length ? this.write(buf) : '';\n}","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// A bit simpler than readable streams.\n// Implement an async ._write(chunk, encoding, cb), and it'll handle all\n// the drain event emission and buffering.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Writable;\n\n/* <replacement> */\nfunction WriteReq(chunk, encoding, cb) {\n  this.chunk = chunk;\n  this.encoding = encoding;\n  this.callback = cb;\n  this.next = null;\n}\n\n// It seems a linked list but it is not\n// there will be only 2 of these for each stream\nfunction CorkedRequest(state) {\n  var _this = this;\n\n  this.next = null;\n  this.entry = null;\n  this.finish = function () {\n    onCorkedFinish(_this, state);\n  };\n}\n/* </replacement> */\n\n/*<replacement>*/\nvar asyncWrite = !process.browser && ['v0.10', 'v0.9.'].indexOf(process.version.slice(0, 5)) > -1 ? setImmediate : pna.nextTick;\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nWritable.WritableState = WritableState;\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar internalUtil = {\n  deprecate: require('util-deprecate')\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\nvar destroyImpl = require('./internal/streams/destroy');\n\nutil.inherits(Writable, Stream);\n\nfunction nop() {}\n\nfunction WritableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag to indicate whether or not this stream\n  // contains buffers or objects.\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.writableObjectMode;\n\n  // the point at which write() starts returning false\n  // Note: 0 is a valid value, means that we always return false if\n  // the entire buffer is not flushed immediately on write()\n  var hwm = options.highWaterMark;\n  var writableHwm = options.writableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (writableHwm || writableHwm === 0)) this.highWaterMark = writableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // if _final has been called\n  this.finalCalled = false;\n\n  // drain event flag.\n  this.needDrain = false;\n  // at the start of calling end()\n  this.ending = false;\n  // when end() has been called, and returned\n  this.ended = false;\n  // when 'finish' is emitted\n  this.finished = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // should we decode strings into buffers before passing to _write?\n  // this is here so that some node-core streams can optimize string\n  // handling at a lower level.\n  var noDecode = options.decodeStrings === false;\n  this.decodeStrings = !noDecode;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // not an actual buffer we keep track of, but a measurement\n  // of how much we're waiting to get pushed to some underlying\n  // socket or file.\n  this.length = 0;\n\n  // a flag to see when we're in the middle of a write.\n  this.writing = false;\n\n  // when true all writes will be buffered until .uncork() call\n  this.corked = 0;\n\n  // a flag to be able to tell if the onwrite cb is called immediately,\n  // or on a later tick.  We set this to true at first, because any\n  // actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first write call.\n  this.sync = true;\n\n  // a flag to know if we're processing previously buffered items, which\n  // may call the _write() callback in the same tick, so that we don't\n  // end up in an overlapped onwrite situation.\n  this.bufferProcessing = false;\n\n  // the callback that's passed to _write(chunk,cb)\n  this.onwrite = function (er) {\n    onwrite(stream, er);\n  };\n\n  // the callback that the user supplies to write(chunk,encoding,cb)\n  this.writecb = null;\n\n  // the amount that is being written when _write is called.\n  this.writelen = 0;\n\n  this.bufferedRequest = null;\n  this.lastBufferedRequest = null;\n\n  // number of pending user-supplied write callbacks\n  // this must be 0 before 'finish' can be emitted\n  this.pendingcb = 0;\n\n  // emit prefinish if the only thing we're waiting for is _write cbs\n  // This is relevant for synchronous Transform streams\n  this.prefinished = false;\n\n  // True if the error was already emitted and should not be thrown again\n  this.errorEmitted = false;\n\n  // count buffered requests\n  this.bufferedRequestCount = 0;\n\n  // allocate the first CorkedRequest, there is always\n  // one allocated and free to use, and we maintain at most two\n  this.corkedRequestsFree = new CorkedRequest(this);\n}\n\nWritableState.prototype.getBuffer = function getBuffer() {\n  var current = this.bufferedRequest;\n  var out = [];\n  while (current) {\n    out.push(current);\n    current = current.next;\n  }\n  return out;\n};\n\n(function () {\n  try {\n    Object.defineProperty(WritableState.prototype, 'buffer', {\n      get: internalUtil.deprecate(function () {\n        return this.getBuffer();\n      }, '_writableState.buffer is deprecated. Use _writableState.getBuffer ' + 'instead.', 'DEP0003')\n    });\n  } catch (_) {}\n})();\n\n// Test _writableState for inheritance to account for Duplex streams,\n// whose prototype chain only points to Readable.\nvar realHasInstance;\nif (typeof Symbol === 'function' && Symbol.hasInstance && typeof Function.prototype[Symbol.hasInstance] === 'function') {\n  realHasInstance = Function.prototype[Symbol.hasInstance];\n  Object.defineProperty(Writable, Symbol.hasInstance, {\n    value: function (object) {\n      if (realHasInstance.call(this, object)) return true;\n      if (this !== Writable) return false;\n\n      return object && object._writableState instanceof WritableState;\n    }\n  });\n} else {\n  realHasInstance = function (object) {\n    return object instanceof this;\n  };\n}\n\nfunction Writable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  // Writable ctor is applied to Duplexes, too.\n  // `realHasInstance` is necessary because using plain `instanceof`\n  // would return false, as no `_writableState` property is attached.\n\n  // Trying to use the custom `instanceof` for Writable here will also break the\n  // Node.js LazyTransform implementation, which has a non-trivial getter for\n  // `_writableState` that would lead to infinite recursion.\n  if (!realHasInstance.call(Writable, this) && !(this instanceof Duplex)) {\n    return new Writable(options);\n  }\n\n  this._writableState = new WritableState(options, this);\n\n  // legacy.\n  this.writable = true;\n\n  if (options) {\n    if (typeof options.write === 'function') this._write = options.write;\n\n    if (typeof options.writev === 'function') this._writev = options.writev;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n\n    if (typeof options.final === 'function') this._final = options.final;\n  }\n\n  Stream.call(this);\n}\n\n// Otherwise people can pipe Writable streams, which is just wrong.\nWritable.prototype.pipe = function () {\n  this.emit('error', new Error('Cannot pipe, not readable'));\n};\n\nfunction writeAfterEnd(stream, cb) {\n  var er = new Error('write after end');\n  // TODO: defer error events consistently everywhere, not just the cb\n  stream.emit('error', er);\n  pna.nextTick(cb, er);\n}\n\n// Checks that a user-supplied chunk is valid, especially for the particular\n// mode the stream is in. Currently this means that `null` is never accepted\n// and undefined/non-string values are only allowed in object mode.\nfunction validChunk(stream, state, chunk, cb) {\n  var valid = true;\n  var er = false;\n\n  if (chunk === null) {\n    er = new TypeError('May not write null values to stream');\n  } else if (typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  if (er) {\n    stream.emit('error', er);\n    pna.nextTick(cb, er);\n    valid = false;\n  }\n  return valid;\n}\n\nWritable.prototype.write = function (chunk, encoding, cb) {\n  var state = this._writableState;\n  var ret = false;\n  var isBuf = !state.objectMode && _isUint8Array(chunk);\n\n  if (isBuf && !Buffer.isBuffer(chunk)) {\n    chunk = _uint8ArrayToBuffer(chunk);\n  }\n\n  if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (isBuf) encoding = 'buffer';else if (!encoding) encoding = state.defaultEncoding;\n\n  if (typeof cb !== 'function') cb = nop;\n\n  if (state.ended) writeAfterEnd(this, cb);else if (isBuf || validChunk(this, state, chunk, cb)) {\n    state.pendingcb++;\n    ret = writeOrBuffer(this, state, isBuf, chunk, encoding, cb);\n  }\n\n  return ret;\n};\n\nWritable.prototype.cork = function () {\n  var state = this._writableState;\n\n  state.corked++;\n};\n\nWritable.prototype.uncork = function () {\n  var state = this._writableState;\n\n  if (state.corked) {\n    state.corked--;\n\n    if (!state.writing && !state.corked && !state.finished && !state.bufferProcessing && state.bufferedRequest) clearBuffer(this, state);\n  }\n};\n\nWritable.prototype.setDefaultEncoding = function setDefaultEncoding(encoding) {\n  // node::ParseEncoding() requires lower case.\n  if (typeof encoding === 'string') encoding = encoding.toLowerCase();\n  if (!(['hex', 'utf8', 'utf-8', 'ascii', 'binary', 'base64', 'ucs2', 'ucs-2', 'utf16le', 'utf-16le', 'raw'].indexOf((encoding + '').toLowerCase()) > -1)) throw new TypeError('Unknown encoding: ' + encoding);\n  this._writableState.defaultEncoding = encoding;\n  return this;\n};\n\nfunction decodeChunk(state, chunk, encoding) {\n  if (!state.objectMode && state.decodeStrings !== false && typeof chunk === 'string') {\n    chunk = Buffer.from(chunk, encoding);\n  }\n  return chunk;\n}\n\nObject.defineProperty(Writable.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// if we're already writing something, then just put this\n// in the queue, and wait our turn.  Otherwise, call _write\n// If we return false, then we need a drain event, so set that flag.\nfunction writeOrBuffer(stream, state, isBuf, chunk, encoding, cb) {\n  if (!isBuf) {\n    var newChunk = decodeChunk(state, chunk, encoding);\n    if (chunk !== newChunk) {\n      isBuf = true;\n      encoding = 'buffer';\n      chunk = newChunk;\n    }\n  }\n  var len = state.objectMode ? 1 : chunk.length;\n\n  state.length += len;\n\n  var ret = state.length < state.highWaterMark;\n  // we must ensure that previous needDrain will not be reset to false.\n  if (!ret) state.needDrain = true;\n\n  if (state.writing || state.corked) {\n    var last = state.lastBufferedRequest;\n    state.lastBufferedRequest = {\n      chunk: chunk,\n      encoding: encoding,\n      isBuf: isBuf,\n      callback: cb,\n      next: null\n    };\n    if (last) {\n      last.next = state.lastBufferedRequest;\n    } else {\n      state.bufferedRequest = state.lastBufferedRequest;\n    }\n    state.bufferedRequestCount += 1;\n  } else {\n    doWrite(stream, state, false, len, chunk, encoding, cb);\n  }\n\n  return ret;\n}\n\nfunction doWrite(stream, state, writev, len, chunk, encoding, cb) {\n  state.writelen = len;\n  state.writecb = cb;\n  state.writing = true;\n  state.sync = true;\n  if (writev) stream._writev(chunk, state.onwrite);else stream._write(chunk, encoding, state.onwrite);\n  state.sync = false;\n}\n\nfunction onwriteError(stream, state, sync, er, cb) {\n  --state.pendingcb;\n\n  if (sync) {\n    // defer the callback if we are being called synchronously\n    // to avoid piling up things on the stack\n    pna.nextTick(cb, er);\n    // this can emit finish, and it will always happen\n    // after error\n    pna.nextTick(finishMaybe, stream, state);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n  } else {\n    // the caller expect this to happen before if\n    // it is async\n    cb(er);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n    // this can emit finish, but finish must\n    // always follow error\n    finishMaybe(stream, state);\n  }\n}\n\nfunction onwriteStateUpdate(state) {\n  state.writing = false;\n  state.writecb = null;\n  state.length -= state.writelen;\n  state.writelen = 0;\n}\n\nfunction onwrite(stream, er) {\n  var state = stream._writableState;\n  var sync = state.sync;\n  var cb = state.writecb;\n\n  onwriteStateUpdate(state);\n\n  if (er) onwriteError(stream, state, sync, er, cb);else {\n    // Check if we're actually ready to finish, but don't emit yet\n    var finished = needFinish(state);\n\n    if (!finished && !state.corked && !state.bufferProcessing && state.bufferedRequest) {\n      clearBuffer(stream, state);\n    }\n\n    if (sync) {\n      /*<replacement>*/\n      asyncWrite(afterWrite, stream, state, finished, cb);\n      /*</replacement>*/\n    } else {\n      afterWrite(stream, state, finished, cb);\n    }\n  }\n}\n\nfunction afterWrite(stream, state, finished, cb) {\n  if (!finished) onwriteDrain(stream, state);\n  state.pendingcb--;\n  cb();\n  finishMaybe(stream, state);\n}\n\n// Must force callback to be called on nextTick, so that we don't\n// emit 'drain' before the write() consumer gets the 'false' return\n// value, and has a chance to attach a 'drain' listener.\nfunction onwriteDrain(stream, state) {\n  if (state.length === 0 && state.needDrain) {\n    state.needDrain = false;\n    stream.emit('drain');\n  }\n}\n\n// if there's something in the buffer waiting, then process it\nfunction clearBuffer(stream, state) {\n  state.bufferProcessing = true;\n  var entry = state.bufferedRequest;\n\n  if (stream._writev && entry && entry.next) {\n    // Fast case, write everything using _writev()\n    var l = state.bufferedRequestCount;\n    var buffer = new Array(l);\n    var holder = state.corkedRequestsFree;\n    holder.entry = entry;\n\n    var count = 0;\n    var allBuffers = true;\n    while (entry) {\n      buffer[count] = entry;\n      if (!entry.isBuf) allBuffers = false;\n      entry = entry.next;\n      count += 1;\n    }\n    buffer.allBuffers = allBuffers;\n\n    doWrite(stream, state, true, state.length, buffer, '', holder.finish);\n\n    // doWrite is almost always async, defer these to save a bit of time\n    // as the hot path ends with doWrite\n    state.pendingcb++;\n    state.lastBufferedRequest = null;\n    if (holder.next) {\n      state.corkedRequestsFree = holder.next;\n      holder.next = null;\n    } else {\n      state.corkedRequestsFree = new CorkedRequest(state);\n    }\n    state.bufferedRequestCount = 0;\n  } else {\n    // Slow case, write chunks one-by-one\n    while (entry) {\n      var chunk = entry.chunk;\n      var encoding = entry.encoding;\n      var cb = entry.callback;\n      var len = state.objectMode ? 1 : chunk.length;\n\n      doWrite(stream, state, false, len, chunk, encoding, cb);\n      entry = entry.next;\n      state.bufferedRequestCount--;\n      // if we didn't call the onwrite immediately, then\n      // it means that we need to wait until it does.\n      // also, that means that the chunk and cb are currently\n      // being processed, so move the buffer counter past them.\n      if (state.writing) {\n        break;\n      }\n    }\n\n    if (entry === null) state.lastBufferedRequest = null;\n  }\n\n  state.bufferedRequest = entry;\n  state.bufferProcessing = false;\n}\n\nWritable.prototype._write = function (chunk, encoding, cb) {\n  cb(new Error('_write() is not implemented'));\n};\n\nWritable.prototype._writev = null;\n\nWritable.prototype.end = function (chunk, encoding, cb) {\n  var state = this._writableState;\n\n  if (typeof chunk === 'function') {\n    cb = chunk;\n    chunk = null;\n    encoding = null;\n  } else if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (chunk !== null && chunk !== undefined) this.write(chunk, encoding);\n\n  // .end() fully uncorks\n  if (state.corked) {\n    state.corked = 1;\n    this.uncork();\n  }\n\n  // ignore unnecessary end() calls.\n  if (!state.ending && !state.finished) endWritable(this, state, cb);\n};\n\nfunction needFinish(state) {\n  return state.ending && state.length === 0 && state.bufferedRequest === null && !state.finished && !state.writing;\n}\nfunction callFinal(stream, state) {\n  stream._final(function (err) {\n    state.pendingcb--;\n    if (err) {\n      stream.emit('error', err);\n    }\n    state.prefinished = true;\n    stream.emit('prefinish');\n    finishMaybe(stream, state);\n  });\n}\nfunction prefinish(stream, state) {\n  if (!state.prefinished && !state.finalCalled) {\n    if (typeof stream._final === 'function') {\n      state.pendingcb++;\n      state.finalCalled = true;\n      pna.nextTick(callFinal, stream, state);\n    } else {\n      state.prefinished = true;\n      stream.emit('prefinish');\n    }\n  }\n}\n\nfunction finishMaybe(stream, state) {\n  var need = needFinish(state);\n  if (need) {\n    prefinish(stream, state);\n    if (state.pendingcb === 0) {\n      state.finished = true;\n      stream.emit('finish');\n    }\n  }\n  return need;\n}\n\nfunction endWritable(stream, state, cb) {\n  state.ending = true;\n  finishMaybe(stream, state);\n  if (cb) {\n    if (state.finished) pna.nextTick(cb);else stream.once('finish', cb);\n  }\n  state.ended = true;\n  stream.writable = false;\n}\n\nfunction onCorkedFinish(corkReq, state, err) {\n  var entry = corkReq.entry;\n  corkReq.entry = null;\n  while (entry) {\n    var cb = entry.callback;\n    state.pendingcb--;\n    cb(err);\n    entry = entry.next;\n  }\n  if (state.corkedRequestsFree) {\n    state.corkedRequestsFree.next = corkReq;\n  } else {\n    state.corkedRequestsFree = corkReq;\n  }\n}\n\nObject.defineProperty(Writable.prototype, 'destroyed', {\n  get: function () {\n    if (this._writableState === undefined) {\n      return false;\n    }\n    return this._writableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._writableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._writableState.destroyed = value;\n  }\n});\n\nWritable.prototype.destroy = destroyImpl.destroy;\nWritable.prototype._undestroy = destroyImpl.undestroy;\nWritable.prototype._destroy = function (err, cb) {\n  this.end();\n  cb(err);\n};","exports = module.exports = require('./lib/_stream_readable.js');\nexports.Stream = exports;\nexports.Readable = exports;\nexports.Writable = require('./lib/_stream_writable.js');\nexports.Duplex = require('./lib/_stream_duplex.js');\nexports.Transform = require('./lib/_stream_transform.js');\nexports.PassThrough = require('./lib/_stream_passthrough.js');\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nmodule.exports = Stream;\n\nvar EE = require('events').EventEmitter;\nvar inherits = require('inherits');\n\ninherits(Stream, EE);\nStream.Readable = require('readable-stream/readable.js');\nStream.Writable = require('readable-stream/writable.js');\nStream.Duplex = require('readable-stream/duplex.js');\nStream.Transform = require('readable-stream/transform.js');\nStream.PassThrough = require('readable-stream/passthrough.js');\n\n// Backwards-compat with node 0.4.x\nStream.Stream = Stream;\n\n\n\n// old-style streams.  Note that the pipe method (the only relevant\n// part of this class) is overridden in the Readable class.\n\nfunction Stream() {\n  EE.call(this);\n}\n\nStream.prototype.pipe = function(dest, options) {\n  var source = this;\n\n  function ondata(chunk) {\n    if (dest.writable) {\n      if (false === dest.write(chunk) && source.pause) {\n        source.pause();\n      }\n    }\n  }\n\n  source.on('data', ondata);\n\n  function ondrain() {\n    if (source.readable && source.resume) {\n      source.resume();\n    }\n  }\n\n  dest.on('drain', ondrain);\n\n  // If the 'end' option is not supplied, dest.end() will be called when\n  // source gets the 'end' or 'close' events.  Only dest.end() once.\n  if (!dest._isStdio && (!options || options.end !== false)) {\n    source.on('end', onend);\n    source.on('close', onclose);\n  }\n\n  var didOnEnd = false;\n  function onend() {\n    if (didOnEnd) return;\n    didOnEnd = true;\n\n    dest.end();\n  }\n\n\n  function onclose() {\n    if (didOnEnd) return;\n    didOnEnd = true;\n\n    if (typeof dest.destroy === 'function') dest.destroy();\n  }\n\n  // don't leave dangling pipes when there are errors.\n  function onerror(er) {\n    cleanup();\n    if (EE.listenerCount(this, 'error') === 0) {\n      throw er; // Unhandled stream error in pipe.\n    }\n  }\n\n  source.on('error', onerror);\n  dest.on('error', onerror);\n\n  // remove all the event listeners that were added.\n  function cleanup() {\n    source.removeListener('data', ondata);\n    dest.removeListener('drain', ondrain);\n\n    source.removeListener('end', onend);\n    source.removeListener('close', onclose);\n\n    source.removeListener('error', onerror);\n    dest.removeListener('error', onerror);\n\n    source.removeListener('end', cleanup);\n    source.removeListener('close', cleanup);\n\n    dest.removeListener('close', cleanup);\n  }\n\n  source.on('end', cleanup);\n  source.on('close', cleanup);\n\n  dest.on('close', cleanup);\n\n  dest.emit('pipe', source);\n\n  // Allow for unix-like usage: A.pipe(B).pipe(C)\n  return dest;\n};\n","'use strict'\nvar inherits = require('inherits')\nvar HashBase = require('hash-base')\nvar Buffer = require('safe-buffer').Buffer\n\nvar ARRAY16 = new Array(16)\n\nfunction MD5 () {\n  HashBase.call(this, 64)\n\n  // state\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n}\n\ninherits(MD5, HashBase)\n\nMD5.prototype._update = function () {\n  var M = ARRAY16\n  for (var i = 0; i < 16; ++i) M[i] = this._block.readInt32LE(i * 4)\n\n  var a = this._a\n  var b = this._b\n  var c = this._c\n  var d = this._d\n\n  a = fnF(a, b, c, d, M[0], 0xd76aa478, 7)\n  d = fnF(d, a, b, c, M[1], 0xe8c7b756, 12)\n  c = fnF(c, d, a, b, M[2], 0x242070db, 17)\n  b = fnF(b, c, d, a, M[3], 0xc1bdceee, 22)\n  a = fnF(a, b, c, d, M[4], 0xf57c0faf, 7)\n  d = fnF(d, a, b, c, M[5], 0x4787c62a, 12)\n  c = fnF(c, d, a, b, M[6], 0xa8304613, 17)\n  b = fnF(b, c, d, a, M[7], 0xfd469501, 22)\n  a = fnF(a, b, c, d, M[8], 0x698098d8, 7)\n  d = fnF(d, a, b, c, M[9], 0x8b44f7af, 12)\n  c = fnF(c, d, a, b, M[10], 0xffff5bb1, 17)\n  b = fnF(b, c, d, a, M[11], 0x895cd7be, 22)\n  a = fnF(a, b, c, d, M[12], 0x6b901122, 7)\n  d = fnF(d, a, b, c, M[13], 0xfd987193, 12)\n  c = fnF(c, d, a, b, M[14], 0xa679438e, 17)\n  b = fnF(b, c, d, a, M[15], 0x49b40821, 22)\n\n  a = fnG(a, b, c, d, M[1], 0xf61e2562, 5)\n  d = fnG(d, a, b, c, M[6], 0xc040b340, 9)\n  c = fnG(c, d, a, b, M[11], 0x265e5a51, 14)\n  b = fnG(b, c, d, a, M[0], 0xe9b6c7aa, 20)\n  a = fnG(a, b, c, d, M[5], 0xd62f105d, 5)\n  d = fnG(d, a, b, c, M[10], 0x02441453, 9)\n  c = fnG(c, d, a, b, M[15], 0xd8a1e681, 14)\n  b = fnG(b, c, d, a, M[4], 0xe7d3fbc8, 20)\n  a = fnG(a, b, c, d, M[9], 0x21e1cde6, 5)\n  d = fnG(d, a, b, c, M[14], 0xc33707d6, 9)\n  c = fnG(c, d, a, b, M[3], 0xf4d50d87, 14)\n  b = fnG(b, c, d, a, M[8], 0x455a14ed, 20)\n  a = fnG(a, b, c, d, M[13], 0xa9e3e905, 5)\n  d = fnG(d, a, b, c, M[2], 0xfcefa3f8, 9)\n  c = fnG(c, d, a, b, M[7], 0x676f02d9, 14)\n  b = fnG(b, c, d, a, M[12], 0x8d2a4c8a, 20)\n\n  a = fnH(a, b, c, d, M[5], 0xfffa3942, 4)\n  d = fnH(d, a, b, c, M[8], 0x8771f681, 11)\n  c = fnH(c, d, a, b, M[11], 0x6d9d6122, 16)\n  b = fnH(b, c, d, a, M[14], 0xfde5380c, 23)\n  a = fnH(a, b, c, d, M[1], 0xa4beea44, 4)\n  d = fnH(d, a, b, c, M[4], 0x4bdecfa9, 11)\n  c = fnH(c, d, a, b, M[7], 0xf6bb4b60, 16)\n  b = fnH(b, c, d, a, M[10], 0xbebfbc70, 23)\n  a = fnH(a, b, c, d, M[13], 0x289b7ec6, 4)\n  d = fnH(d, a, b, c, M[0], 0xeaa127fa, 11)\n  c = fnH(c, d, a, b, M[3], 0xd4ef3085, 16)\n  b = fnH(b, c, d, a, M[6], 0x04881d05, 23)\n  a = fnH(a, b, c, d, M[9], 0xd9d4d039, 4)\n  d = fnH(d, a, b, c, M[12], 0xe6db99e5, 11)\n  c = fnH(c, d, a, b, M[15], 0x1fa27cf8, 16)\n  b = fnH(b, c, d, a, M[2], 0xc4ac5665, 23)\n\n  a = fnI(a, b, c, d, M[0], 0xf4292244, 6)\n  d = fnI(d, a, b, c, M[7], 0x432aff97, 10)\n  c = fnI(c, d, a, b, M[14], 0xab9423a7, 15)\n  b = fnI(b, c, d, a, M[5], 0xfc93a039, 21)\n  a = fnI(a, b, c, d, M[12], 0x655b59c3, 6)\n  d = fnI(d, a, b, c, M[3], 0x8f0ccc92, 10)\n  c = fnI(c, d, a, b, M[10], 0xffeff47d, 15)\n  b = fnI(b, c, d, a, M[1], 0x85845dd1, 21)\n  a = fnI(a, b, c, d, M[8], 0x6fa87e4f, 6)\n  d = fnI(d, a, b, c, M[15], 0xfe2ce6e0, 10)\n  c = fnI(c, d, a, b, M[6], 0xa3014314, 15)\n  b = fnI(b, c, d, a, M[13], 0x4e0811a1, 21)\n  a = fnI(a, b, c, d, M[4], 0xf7537e82, 6)\n  d = fnI(d, a, b, c, M[11], 0xbd3af235, 10)\n  c = fnI(c, d, a, b, M[2], 0x2ad7d2bb, 15)\n  b = fnI(b, c, d, a, M[9], 0xeb86d391, 21)\n\n  this._a = (this._a + a) | 0\n  this._b = (this._b + b) | 0\n  this._c = (this._c + c) | 0\n  this._d = (this._d + d) | 0\n}\n\nMD5.prototype._digest = function () {\n  // create padding and handle blocks\n  this._block[this._blockOffset++] = 0x80\n  if (this._blockOffset > 56) {\n    this._block.fill(0, this._blockOffset, 64)\n    this._update()\n    this._blockOffset = 0\n  }\n\n  this._block.fill(0, this._blockOffset, 56)\n  this._block.writeUInt32LE(this._length[0], 56)\n  this._block.writeUInt32LE(this._length[1], 60)\n  this._update()\n\n  // produce result\n  var buffer = Buffer.allocUnsafe(16)\n  buffer.writeInt32LE(this._a, 0)\n  buffer.writeInt32LE(this._b, 4)\n  buffer.writeInt32LE(this._c, 8)\n  buffer.writeInt32LE(this._d, 12)\n  return buffer\n}\n\nfunction rotl (x, n) {\n  return (x << n) | (x >>> (32 - n))\n}\n\nfunction fnF (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnG (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnH (a, b, c, d, m, k, s) {\n  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnI (a, b, c, d, m, k, s) {\n  return (rotl((a + ((c ^ (b | (~d)))) + m + k) | 0, s) + b) | 0\n}\n\nmodule.exports = MD5\n","var scope = (typeof global !== \"undefined\" && global) ||\n            (typeof self !== \"undefined\" && self) ||\n            window;\nvar apply = Function.prototype.apply;\n\n// DOM APIs, for completeness\n\nexports.setTimeout = function() {\n  return new Timeout(apply.call(setTimeout, scope, arguments), clearTimeout);\n};\nexports.setInterval = function() {\n  return new Timeout(apply.call(setInterval, scope, arguments), clearInterval);\n};\nexports.clearTimeout =\nexports.clearInterval = function(timeout) {\n  if (timeout) {\n    timeout.close();\n  }\n};\n\nfunction Timeout(id, clearFn) {\n  this._id = id;\n  this._clearFn = clearFn;\n}\nTimeout.prototype.unref = Timeout.prototype.ref = function() {};\nTimeout.prototype.close = function() {\n  this._clearFn.call(scope, this._id);\n};\n\n// Does not start the time, just sets up the members needed.\nexports.enroll = function(item, msecs) {\n  clearTimeout(item._idleTimeoutId);\n  item._idleTimeout = msecs;\n};\n\nexports.unenroll = function(item) {\n  clearTimeout(item._idleTimeoutId);\n  item._idleTimeout = -1;\n};\n\nexports._unrefActive = exports.active = function(item) {\n  clearTimeout(item._idleTimeoutId);\n\n  var msecs = item._idleTimeout;\n  if (msecs >= 0) {\n    item._idleTimeoutId = setTimeout(function onTimeout() {\n      if (item._onTimeout)\n        item._onTimeout();\n    }, msecs);\n  }\n};\n\n// setimmediate attaches itself to the global object\nrequire(\"setimmediate\");\n// On some exotic environments, it's not clear which object `setimmediate` was\n// able to install onto.  Search each possibility in the same order as the\n// `setimmediate` library.\nexports.setImmediate = (typeof self !== \"undefined\" && self.setImmediate) ||\n                       (typeof global !== \"undefined\" && global.setImmediate) ||\n                       (this && this.setImmediate);\nexports.clearImmediate = (typeof self !== \"undefined\" && self.clearImmediate) ||\n                         (typeof global !== \"undefined\" && global.clearImmediate) ||\n                         (this && this.clearImmediate);\n","exports.f = Object.getOwnPropertySymbols;\n","// IE 8- don't enum bug keys\nmodule.exports = (\n  'constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf'\n).split(',');\n","var core = require('./_core');\nvar global = require('./_global');\nvar SHARED = '__core-js_shared__';\nvar store = global[SHARED] || (global[SHARED] = {});\n\n(module.exports = function (key, value) {\n  return store[key] || (store[key] = value !== undefined ? value : {});\n})('versions', []).push({\n  version: core.version,\n  mode: require('./_library') ? 'pure' : 'global',\n  copyright: '© 2019 Denis Pushkarev (zloirock.ru)'\n});\n","var shared = require('./_shared')('keys');\nvar uid = require('./_uid');\nmodule.exports = function (key) {\n  return shared[key] || (shared[key] = uid(key));\n};\n","// 7.1.4 ToInteger\nvar ceil = Math.ceil;\nvar floor = Math.floor;\nmodule.exports = function (it) {\n  return isNaN(it = +it) ? 0 : (it > 0 ? floor : ceil)(it);\n};\n","// 7.2.1 RequireObjectCoercible(argument)\nmodule.exports = function (it) {\n  if (it == undefined) throw TypeError(\"Can't call method on  \" + it);\n  return it;\n};\n","// fallback for non-array-like ES3 and non-enumerable old V8 strings\nvar cof = require('./_cof');\n// eslint-disable-next-line no-prototype-builtins\nmodule.exports = Object('z').propertyIsEnumerable(0) ? Object : function (it) {\n  return cof(it) == 'String' ? it.split('') : Object(it);\n};\n","// 7.1.1 ToPrimitive(input [, PreferredType])\nvar isObject = require('./_is-object');\n// instead of the ES6 spec version, we didn't implement @@toPrimitive case\n// and the second argument - flag - preferred type is a string\nmodule.exports = function (it, S) {\n  if (!isObject(it)) return it;\n  var fn, val;\n  if (S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (typeof (fn = it.valueOf) == 'function' && !isObject(val = fn.call(it))) return val;\n  if (!S && typeof (fn = it.toString) == 'function' && !isObject(val = fn.call(it))) return val;\n  throw TypeError(\"Can't convert object to primitive value\");\n};\n","var isObject = require('./_is-object');\nvar document = require('./_global').document;\n// typeof document.createElement is 'object' in old IE\nvar is = isObject(document) && isObject(document.createElement);\nmodule.exports = function (it) {\n  return is ? document.createElement(it) : {};\n};\n","'use strict';\nvar global = require('./_global');\nvar DESCRIPTORS = require('./_descriptors');\nvar LIBRARY = require('./_library');\nvar $typed = require('./_typed');\nvar hide = require('./_hide');\nvar redefineAll = require('./_redefine-all');\nvar fails = require('./_fails');\nvar anInstance = require('./_an-instance');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar toIndex = require('./_to-index');\nvar gOPN = require('./_object-gopn').f;\nvar dP = require('./_object-dp').f;\nvar arrayFill = require('./_array-fill');\nvar setToStringTag = require('./_set-to-string-tag');\nvar ARRAY_BUFFER = 'ArrayBuffer';\nvar DATA_VIEW = 'DataView';\nvar PROTOTYPE = 'prototype';\nvar WRONG_LENGTH = 'Wrong length!';\nvar WRONG_INDEX = 'Wrong index!';\nvar $ArrayBuffer = global[ARRAY_BUFFER];\nvar $DataView = global[DATA_VIEW];\nvar Math = global.Math;\nvar RangeError = global.RangeError;\n// eslint-disable-next-line no-shadow-restricted-names\nvar Infinity = global.Infinity;\nvar BaseBuffer = $ArrayBuffer;\nvar abs = Math.abs;\nvar pow = Math.pow;\nvar floor = Math.floor;\nvar log = Math.log;\nvar LN2 = Math.LN2;\nvar BUFFER = 'buffer';\nvar BYTE_LENGTH = 'byteLength';\nvar BYTE_OFFSET = 'byteOffset';\nvar $BUFFER = DESCRIPTORS ? '_b' : BUFFER;\nvar $LENGTH = DESCRIPTORS ? '_l' : BYTE_LENGTH;\nvar $OFFSET = DESCRIPTORS ? '_o' : BYTE_OFFSET;\n\n// IEEE754 conversions based on https://github.com/feross/ieee754\nfunction packIEEE754(value, mLen, nBytes) {\n  var buffer = new Array(nBytes);\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var rt = mLen === 23 ? pow(2, -24) - pow(2, -77) : 0;\n  var i = 0;\n  var s = value < 0 || value === 0 && 1 / value < 0 ? 1 : 0;\n  var e, m, c;\n  value = abs(value);\n  // eslint-disable-next-line no-self-compare\n  if (value != value || value === Infinity) {\n    // eslint-disable-next-line no-self-compare\n    m = value != value ? 1 : 0;\n    e = eMax;\n  } else {\n    e = floor(log(value) / LN2);\n    if (value * (c = pow(2, -e)) < 1) {\n      e--;\n      c *= 2;\n    }\n    if (e + eBias >= 1) {\n      value += rt / c;\n    } else {\n      value += rt * pow(2, 1 - eBias);\n    }\n    if (value * c >= 2) {\n      e++;\n      c /= 2;\n    }\n    if (e + eBias >= eMax) {\n      m = 0;\n      e = eMax;\n    } else if (e + eBias >= 1) {\n      m = (value * c - 1) * pow(2, mLen);\n      e = e + eBias;\n    } else {\n      m = value * pow(2, eBias - 1) * pow(2, mLen);\n      e = 0;\n    }\n  }\n  for (; mLen >= 8; buffer[i++] = m & 255, m /= 256, mLen -= 8);\n  e = e << mLen | m;\n  eLen += mLen;\n  for (; eLen > 0; buffer[i++] = e & 255, e /= 256, eLen -= 8);\n  buffer[--i] |= s * 128;\n  return buffer;\n}\nfunction unpackIEEE754(buffer, mLen, nBytes) {\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var nBits = eLen - 7;\n  var i = nBytes - 1;\n  var s = buffer[i--];\n  var e = s & 127;\n  var m;\n  s >>= 7;\n  for (; nBits > 0; e = e * 256 + buffer[i], i--, nBits -= 8);\n  m = e & (1 << -nBits) - 1;\n  e >>= -nBits;\n  nBits += mLen;\n  for (; nBits > 0; m = m * 256 + buffer[i], i--, nBits -= 8);\n  if (e === 0) {\n    e = 1 - eBias;\n  } else if (e === eMax) {\n    return m ? NaN : s ? -Infinity : Infinity;\n  } else {\n    m = m + pow(2, mLen);\n    e = e - eBias;\n  } return (s ? -1 : 1) * m * pow(2, e - mLen);\n}\n\nfunction unpackI32(bytes) {\n  return bytes[3] << 24 | bytes[2] << 16 | bytes[1] << 8 | bytes[0];\n}\nfunction packI8(it) {\n  return [it & 0xff];\n}\nfunction packI16(it) {\n  return [it & 0xff, it >> 8 & 0xff];\n}\nfunction packI32(it) {\n  return [it & 0xff, it >> 8 & 0xff, it >> 16 & 0xff, it >> 24 & 0xff];\n}\nfunction packF64(it) {\n  return packIEEE754(it, 52, 8);\n}\nfunction packF32(it) {\n  return packIEEE754(it, 23, 4);\n}\n\nfunction addGetter(C, key, internal) {\n  dP(C[PROTOTYPE], key, { get: function () { return this[internal]; } });\n}\n\nfunction get(view, bytes, index, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = store.slice(start, start + bytes);\n  return isLittleEndian ? pack : pack.reverse();\n}\nfunction set(view, bytes, index, conversion, value, isLittleEndian) {\n  var numIndex = +index;\n  var intIndex = toIndex(numIndex);\n  if (intIndex + bytes > view[$LENGTH]) throw RangeError(WRONG_INDEX);\n  var store = view[$BUFFER]._b;\n  var start = intIndex + view[$OFFSET];\n  var pack = conversion(+value);\n  for (var i = 0; i < bytes; i++) store[start + i] = pack[isLittleEndian ? i : bytes - i - 1];\n}\n\nif (!$typed.ABV) {\n  $ArrayBuffer = function ArrayBuffer(length) {\n    anInstance(this, $ArrayBuffer, ARRAY_BUFFER);\n    var byteLength = toIndex(length);\n    this._b = arrayFill.call(new Array(byteLength), 0);\n    this[$LENGTH] = byteLength;\n  };\n\n  $DataView = function DataView(buffer, byteOffset, byteLength) {\n    anInstance(this, $DataView, DATA_VIEW);\n    anInstance(buffer, $ArrayBuffer, DATA_VIEW);\n    var bufferLength = buffer[$LENGTH];\n    var offset = toInteger(byteOffset);\n    if (offset < 0 || offset > bufferLength) throw RangeError('Wrong offset!');\n    byteLength = byteLength === undefined ? bufferLength - offset : toLength(byteLength);\n    if (offset + byteLength > bufferLength) throw RangeError(WRONG_LENGTH);\n    this[$BUFFER] = buffer;\n    this[$OFFSET] = offset;\n    this[$LENGTH] = byteLength;\n  };\n\n  if (DESCRIPTORS) {\n    addGetter($ArrayBuffer, BYTE_LENGTH, '_l');\n    addGetter($DataView, BUFFER, '_b');\n    addGetter($DataView, BYTE_LENGTH, '_l');\n    addGetter($DataView, BYTE_OFFSET, '_o');\n  }\n\n  redefineAll($DataView[PROTOTYPE], {\n    getInt8: function getInt8(byteOffset) {\n      return get(this, 1, byteOffset)[0] << 24 >> 24;\n    },\n    getUint8: function getUint8(byteOffset) {\n      return get(this, 1, byteOffset)[0];\n    },\n    getInt16: function getInt16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return (bytes[1] << 8 | bytes[0]) << 16 >> 16;\n    },\n    getUint16: function getUint16(byteOffset /* , littleEndian */) {\n      var bytes = get(this, 2, byteOffset, arguments[1]);\n      return bytes[1] << 8 | bytes[0];\n    },\n    getInt32: function getInt32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1]));\n    },\n    getUint32: function getUint32(byteOffset /* , littleEndian */) {\n      return unpackI32(get(this, 4, byteOffset, arguments[1])) >>> 0;\n    },\n    getFloat32: function getFloat32(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 4, byteOffset, arguments[1]), 23, 4);\n    },\n    getFloat64: function getFloat64(byteOffset /* , littleEndian */) {\n      return unpackIEEE754(get(this, 8, byteOffset, arguments[1]), 52, 8);\n    },\n    setInt8: function setInt8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      set(this, 1, byteOffset, packI8, value);\n    },\n    setInt16: function setInt16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setUint16: function setUint16(byteOffset, value /* , littleEndian */) {\n      set(this, 2, byteOffset, packI16, value, arguments[2]);\n    },\n    setInt32: function setInt32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setUint32: function setUint32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packI32, value, arguments[2]);\n    },\n    setFloat32: function setFloat32(byteOffset, value /* , littleEndian */) {\n      set(this, 4, byteOffset, packF32, value, arguments[2]);\n    },\n    setFloat64: function setFloat64(byteOffset, value /* , littleEndian */) {\n      set(this, 8, byteOffset, packF64, value, arguments[2]);\n    }\n  });\n} else {\n  if (!fails(function () {\n    $ArrayBuffer(1);\n  }) || !fails(function () {\n    new $ArrayBuffer(-1); // eslint-disable-line no-new\n  }) || fails(function () {\n    new $ArrayBuffer(); // eslint-disable-line no-new\n    new $ArrayBuffer(1.5); // eslint-disable-line no-new\n    new $ArrayBuffer(NaN); // eslint-disable-line no-new\n    return $ArrayBuffer.name != ARRAY_BUFFER;\n  })) {\n    $ArrayBuffer = function ArrayBuffer(length) {\n      anInstance(this, $ArrayBuffer);\n      return new BaseBuffer(toIndex(length));\n    };\n    var ArrayBufferProto = $ArrayBuffer[PROTOTYPE] = BaseBuffer[PROTOTYPE];\n    for (var keys = gOPN(BaseBuffer), j = 0, key; keys.length > j;) {\n      if (!((key = keys[j++]) in $ArrayBuffer)) hide($ArrayBuffer, key, BaseBuffer[key]);\n    }\n    if (!LIBRARY) ArrayBufferProto.constructor = $ArrayBuffer;\n  }\n  // iOS Safari 7.x bug\n  var view = new $DataView(new $ArrayBuffer(2));\n  var $setInt8 = $DataView[PROTOTYPE].setInt8;\n  view.setInt8(0, 2147483648);\n  view.setInt8(1, 2147483649);\n  if (view.getInt8(0) || !view.getInt8(1)) redefineAll($DataView[PROTOTYPE], {\n    setInt8: function setInt8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    },\n    setUint8: function setUint8(byteOffset, value) {\n      $setInt8.call(this, byteOffset, value << 24 >> 24);\n    }\n  }, true);\n}\nsetToStringTag($ArrayBuffer, ARRAY_BUFFER);\nsetToStringTag($DataView, DATA_VIEW);\nhide($DataView[PROTOTYPE], $typed.VIEW, true);\nexports[ARRAY_BUFFER] = $ArrayBuffer;\nexports[DATA_VIEW] = $DataView;\n","'use strict';\n// 25.4.1.5 NewPromiseCapability(C)\nvar aFunction = require('./_a-function');\n\nfunction PromiseCapability(C) {\n  var resolve, reject;\n  this.promise = new C(function ($$resolve, $$reject) {\n    if (resolve !== undefined || reject !== undefined) throw TypeError('Bad Promise constructor');\n    resolve = $$resolve;\n    reject = $$reject;\n  });\n  this.resolve = aFunction(resolve);\n  this.reject = aFunction(reject);\n}\n\nmodule.exports.f = function (C) {\n  return new PromiseCapability(C);\n};\n","var global = require('./_global');\nvar macrotask = require('./_task').set;\nvar Observer = global.MutationObserver || global.WebKitMutationObserver;\nvar process = global.process;\nvar Promise = global.Promise;\nvar isNode = require('./_cof')(process) == 'process';\n\nmodule.exports = function () {\n  var head, last, notify;\n\n  var flush = function () {\n    var parent, fn;\n    if (isNode && (parent = process.domain)) parent.exit();\n    while (head) {\n      fn = head.fn;\n      head = head.next;\n      try {\n        fn();\n      } catch (e) {\n        if (head) notify();\n        else last = undefined;\n        throw e;\n      }\n    } last = undefined;\n    if (parent) parent.enter();\n  };\n\n  // Node.js\n  if (isNode) {\n    notify = function () {\n      process.nextTick(flush);\n    };\n  // browsers with MutationObserver, except iOS Safari - https://github.com/zloirock/core-js/issues/339\n  } else if (Observer && !(global.navigator && global.navigator.standalone)) {\n    var toggle = true;\n    var node = document.createTextNode('');\n    new Observer(flush).observe(node, { characterData: true }); // eslint-disable-line no-new\n    notify = function () {\n      node.data = toggle = !toggle;\n    };\n  // environments with maybe non-completely correct, but existent Promise\n  } else if (Promise && Promise.resolve) {\n    // Promise.resolve without an argument throws an error in LG WebOS 2\n    var promise = Promise.resolve(undefined);\n    notify = function () {\n      promise.then(flush);\n    };\n  // for other environments - macrotask based on:\n  // - setImmediate\n  // - MessageChannel\n  // - window.postMessag\n  // - onreadystatechange\n  // - setTimeout\n  } else {\n    notify = function () {\n      // strange IE + webpack dev server bug - use .call(global)\n      macrotask.call(global, flush);\n    };\n  }\n\n  return function (fn) {\n    var task = { fn: fn, next: undefined };\n    if (last) last.next = task;\n    if (!head) {\n      head = task;\n      notify();\n    } last = task;\n  };\n};\n","var ctx = require('./_ctx');\nvar invoke = require('./_invoke');\nvar html = require('./_html');\nvar cel = require('./_dom-create');\nvar global = require('./_global');\nvar process = global.process;\nvar setTask = global.setImmediate;\nvar clearTask = global.clearImmediate;\nvar MessageChannel = global.MessageChannel;\nvar Dispatch = global.Dispatch;\nvar counter = 0;\nvar queue = {};\nvar ONREADYSTATECHANGE = 'onreadystatechange';\nvar defer, channel, port;\nvar run = function () {\n  var id = +this;\n  // eslint-disable-next-line no-prototype-builtins\n  if (queue.hasOwnProperty(id)) {\n    var fn = queue[id];\n    delete queue[id];\n    fn();\n  }\n};\nvar listener = function (event) {\n  run.call(event.data);\n};\n// Node.js 0.9+ & IE10+ has setImmediate, otherwise:\nif (!setTask || !clearTask) {\n  setTask = function setImmediate(fn) {\n    var args = [];\n    var i = 1;\n    while (arguments.length > i) args.push(arguments[i++]);\n    queue[++counter] = function () {\n      // eslint-disable-next-line no-new-func\n      invoke(typeof fn == 'function' ? fn : Function(fn), args);\n    };\n    defer(counter);\n    return counter;\n  };\n  clearTask = function clearImmediate(id) {\n    delete queue[id];\n  };\n  // Node.js 0.8-\n  if (require('./_cof')(process) == 'process') {\n    defer = function (id) {\n      process.nextTick(ctx(run, id, 1));\n    };\n  // Sphere (JS game engine) Dispatch API\n  } else if (Dispatch && Dispatch.now) {\n    defer = function (id) {\n      Dispatch.now(ctx(run, id, 1));\n    };\n  // Browsers with MessageChannel, includes WebWorkers\n  } else if (MessageChannel) {\n    channel = new MessageChannel();\n    port = channel.port2;\n    channel.port1.onmessage = listener;\n    defer = ctx(port.postMessage, port, 1);\n  // Browsers with postMessage, skip WebWorkers\n  // IE8 has postMessage, but it's sync & typeof its postMessage is 'object'\n  } else if (global.addEventListener && typeof postMessage == 'function' && !global.importScripts) {\n    defer = function (id) {\n      global.postMessage(id + '', '*');\n    };\n    global.addEventListener('message', listener, false);\n  // IE8-\n  } else if (ONREADYSTATECHANGE in cel('script')) {\n    defer = function (id) {\n      html.appendChild(cel('script'))[ONREADYSTATECHANGE] = function () {\n        html.removeChild(this);\n        run.call(id);\n      };\n    };\n  // Rest old browsers\n  } else {\n    defer = function (id) {\n      setTimeout(ctx(run, id, 1), 0);\n    };\n  }\n}\nmodule.exports = {\n  set: setTask,\n  clear: clearTask\n};\n","'use strict';\nvar at = require('./_string-at')(true);\n\n // `AdvanceStringIndex` abstract operation\n// https://tc39.github.io/ecma262/#sec-advancestringindex\nmodule.exports = function (S, index, unicode) {\n  return index + (unicode ? at(S, index).length : 1);\n};\n","'use strict';\n\nvar regexpFlags = require('./_flags');\n\nvar nativeExec = RegExp.prototype.exec;\n// This always refers to the native implementation, because the\n// String#replace polyfill uses ./fix-regexp-well-known-symbol-logic.js,\n// which loads this file before patching the method.\nvar nativeReplace = String.prototype.replace;\n\nvar patchedExec = nativeExec;\n\nvar LAST_INDEX = 'lastIndex';\n\nvar UPDATES_LAST_INDEX_WRONG = (function () {\n  var re1 = /a/,\n      re2 = /b*/g;\n  nativeExec.call(re1, 'a');\n  nativeExec.call(re2, 'a');\n  return re1[LAST_INDEX] !== 0 || re2[LAST_INDEX] !== 0;\n})();\n\n// nonparticipating capturing group, copied from es5-shim's String#split patch.\nvar NPCG_INCLUDED = /()??/.exec('')[1] !== undefined;\n\nvar PATCH = UPDATES_LAST_INDEX_WRONG || NPCG_INCLUDED;\n\nif (PATCH) {\n  patchedExec = function exec(str) {\n    var re = this;\n    var lastIndex, reCopy, match, i;\n\n    if (NPCG_INCLUDED) {\n      reCopy = new RegExp('^' + re.source + '$(?!\\\\s)', regexpFlags.call(re));\n    }\n    if (UPDATES_LAST_INDEX_WRONG) lastIndex = re[LAST_INDEX];\n\n    match = nativeExec.call(re, str);\n\n    if (UPDATES_LAST_INDEX_WRONG && match) {\n      re[LAST_INDEX] = re.global ? match.index + match[0].length : lastIndex;\n    }\n    if (NPCG_INCLUDED && match && match.length > 1) {\n      // Fix browsers whose `exec` methods don't consistently return `undefined`\n      // for NPCG, like IE8. NOTE: This doesn' work for /(.?)?/\n      // eslint-disable-next-line no-loop-func\n      nativeReplace.call(match[0], reCopy, function () {\n        for (i = 1; i < arguments.length - 2; i++) {\n          if (arguments[i] === undefined) match[i] = undefined;\n        }\n      });\n    }\n\n    return match;\n  };\n}\n\nmodule.exports = patchedExec;\n","'use strict';\nvar addToUnscopables = require('./_add-to-unscopables');\nvar step = require('./_iter-step');\nvar Iterators = require('./_iterators');\nvar toIObject = require('./_to-iobject');\n\n// 22.1.3.4 Array.prototype.entries()\n// 22.1.3.13 Array.prototype.keys()\n// 22.1.3.29 Array.prototype.values()\n// 22.1.3.30 Array.prototype[@@iterator]()\nmodule.exports = require('./_iter-define')(Array, 'Array', function (iterated, kind) {\n  this._t = toIObject(iterated); // target\n  this._i = 0;                   // next index\n  this._k = kind;                // kind\n// 22.1.5.2.1 %ArrayIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var kind = this._k;\n  var index = this._i++;\n  if (!O || index >= O.length) {\n    this._t = undefined;\n    return step(1);\n  }\n  if (kind == 'keys') return step(0, index);\n  if (kind == 'values') return step(0, O[index]);\n  return step(0, [index, O[index]]);\n}, 'values');\n\n// argumentsList[@@iterator] is %ArrayProto_values% (9.4.4.6, 9.4.4.7)\nIterators.Arguments = Iterators.Array;\n\naddToUnscopables('keys');\naddToUnscopables('values');\naddToUnscopables('entries');\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nmodule.exports = function fill(value /* , start = 0, end = @length */) {\n  var O = toObject(this);\n  var length = toLength(O.length);\n  var aLen = arguments.length;\n  var index = toAbsoluteIndex(aLen > 1 ? arguments[1] : undefined, length);\n  var end = aLen > 2 ? arguments[2] : undefined;\n  var endPos = end === undefined ? length : toAbsoluteIndex(end, length);\n  while (endPos > index) O[index++] = value;\n  return O;\n};\n","// 9.4.2.3 ArraySpeciesCreate(originalArray, length)\nvar speciesConstructor = require('./_array-species-constructor');\n\nmodule.exports = function (original, length) {\n  return new (speciesConstructor(original))(length);\n};\n","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').getIteratorMethod = function (it) {\n  if (it != undefined) return it[ITERATOR]\n    || it['@@iterator']\n    || Iterators[classof(it)];\n};\n","'use strict';\nvar $defineProperty = require('./_object-dp');\nvar createDesc = require('./_property-desc');\n\nmodule.exports = function (object, index, value) {\n  if (index in object) $defineProperty.f(object, index, createDesc(0, value));\n  else object[index] = value;\n};\n","// check on default Array iterator\nvar Iterators = require('./_iterators');\nvar ITERATOR = require('./_wks')('iterator');\nvar ArrayProto = Array.prototype;\n\nmodule.exports = function (it) {\n  return it !== undefined && (Iterators.Array === it || ArrayProto[ITERATOR] === it);\n};\n","var MATCH = require('./_wks')('match');\nmodule.exports = function (KEY) {\n  var re = /./;\n  try {\n    '/./'[KEY](re);\n  } catch (e) {\n    try {\n      re[MATCH] = false;\n      return !'/./'[KEY](re);\n    } catch (f) { /* empty */ }\n  } return true;\n};\n","// helper for String#{startsWith, endsWith, includes}\nvar isRegExp = require('./_is-regexp');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, searchString, NAME) {\n  if (isRegExp(searchString)) throw TypeError('String#' + NAME + \" doesn't accept regex!\");\n  return String(defined(that));\n};\n","'use strict';\nvar create = require('./_object-create');\nvar descriptor = require('./_property-desc');\nvar setToStringTag = require('./_set-to-string-tag');\nvar IteratorPrototype = {};\n\n// 25.1.2.1.1 %IteratorPrototype%[@@iterator]()\nrequire('./_hide')(IteratorPrototype, require('./_wks')('iterator'), function () { return this; });\n\nmodule.exports = function (Constructor, NAME, next) {\n  Constructor.prototype = create(IteratorPrototype, { next: descriptor(1, next) });\n  setToStringTag(Constructor, NAME + ' Iterator');\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar $iterCreate = require('./_iter-create');\nvar setToStringTag = require('./_set-to-string-tag');\nvar getPrototypeOf = require('./_object-gpo');\nvar ITERATOR = require('./_wks')('iterator');\nvar BUGGY = !([].keys && 'next' in [].keys()); // Safari has buggy iterators w/o `next`\nvar FF_ITERATOR = '@@iterator';\nvar KEYS = 'keys';\nvar VALUES = 'values';\n\nvar returnThis = function () { return this; };\n\nmodule.exports = function (Base, NAME, Constructor, next, DEFAULT, IS_SET, FORCED) {\n  $iterCreate(Constructor, NAME, next);\n  var getMethod = function (kind) {\n    if (!BUGGY && kind in proto) return proto[kind];\n    switch (kind) {\n      case KEYS: return function keys() { return new Constructor(this, kind); };\n      case VALUES: return function values() { return new Constructor(this, kind); };\n    } return function entries() { return new Constructor(this, kind); };\n  };\n  var TAG = NAME + ' Iterator';\n  var DEF_VALUES = DEFAULT == VALUES;\n  var VALUES_BUG = false;\n  var proto = Base.prototype;\n  var $native = proto[ITERATOR] || proto[FF_ITERATOR] || DEFAULT && proto[DEFAULT];\n  var $default = $native || getMethod(DEFAULT);\n  var $entries = DEFAULT ? !DEF_VALUES ? $default : getMethod('entries') : undefined;\n  var $anyNative = NAME == 'Array' ? proto.entries || $native : $native;\n  var methods, key, IteratorPrototype;\n  // Fix native\n  if ($anyNative) {\n    IteratorPrototype = getPrototypeOf($anyNative.call(new Base()));\n    if (IteratorPrototype !== Object.prototype && IteratorPrototype.next) {\n      // Set @@toStringTag to native iterators\n      setToStringTag(IteratorPrototype, TAG, true);\n      // fix for some old engines\n      if (!LIBRARY && typeof IteratorPrototype[ITERATOR] != 'function') hide(IteratorPrototype, ITERATOR, returnThis);\n    }\n  }\n  // fix Array#{values, @@iterator}.name in V8 / FF\n  if (DEF_VALUES && $native && $native.name !== VALUES) {\n    VALUES_BUG = true;\n    $default = function values() { return $native.call(this); };\n  }\n  // Define iterator\n  if ((!LIBRARY || FORCED) && (BUGGY || VALUES_BUG || !proto[ITERATOR])) {\n    hide(proto, ITERATOR, $default);\n  }\n  // Plug for library\n  Iterators[NAME] = $default;\n  Iterators[TAG] = returnThis;\n  if (DEFAULT) {\n    methods = {\n      values: DEF_VALUES ? $default : getMethod(VALUES),\n      keys: IS_SET ? $default : getMethod(KEYS),\n      entries: $entries\n    };\n    if (FORCED) for (key in methods) {\n      if (!(key in proto)) redefine(proto, key, methods[key]);\n    } else $export($export.P + $export.F * (BUGGY || VALUES_BUG), NAME, methods);\n  }\n  return methods;\n};\n","// 20.2.2.14 Math.expm1(x)\nvar $expm1 = Math.expm1;\nmodule.exports = (!$expm1\n  // Old FF bug\n  || $expm1(10) > 22025.465794806719 || $expm1(10) < 22025.4657948067165168\n  // Tor Browser bug\n  || $expm1(-2e-17) != -2e-17\n) ? function expm1(x) {\n  return (x = +x) == 0 ? x : x > -1e-6 && x < 1e-6 ? x + x * x / 2 : Math.exp(x) - 1;\n} : $expm1;\n","// 20.2.2.28 Math.sign(x)\nmodule.exports = Math.sign || function sign(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) == 0 || x != x ? x : x < 0 ? -1 : 1;\n};\n","'use strict';\nvar toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n\nmodule.exports = function repeat(count) {\n  var str = String(defined(this));\n  var res = '';\n  var n = toInteger(count);\n  if (n < 0 || n == Infinity) throw RangeError(\"Count can't be negative\");\n  for (;n > 0; (n >>>= 1) && (str += str)) if (n & 1) res += str;\n  return res;\n};\n","var isObject = require('./_is-object');\nvar setPrototypeOf = require('./_set-proto').set;\nmodule.exports = function (that, target, C) {\n  var S = target.constructor;\n  var P;\n  if (S !== C && typeof S == 'function' && (P = S.prototype) !== C.prototype && isObject(P) && setPrototypeOf) {\n    setPrototypeOf(that, P);\n  } return that;\n};\n","module.exports = '\\x09\\x0A\\x0B\\x0C\\x0D\\x20\\xA0\\u1680\\u180E\\u2000\\u2001\\u2002\\u2003' +\n  '\\u2004\\u2005\\u2006\\u2007\\u2008\\u2009\\u200A\\u202F\\u205F\\u3000\\u2028\\u2029\\uFEFF';\n","// Works with __proto__ only. Old v8 can't work with null proto objects.\n/* eslint-disable no-proto */\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\nvar check = function (O, proto) {\n  anObject(O);\n  if (!isObject(proto) && proto !== null) throw TypeError(proto + \": can't set as prototype!\");\n};\nmodule.exports = {\n  set: Object.setPrototypeOf || ('__proto__' in {} ? // eslint-disable-line\n    function (test, buggy, set) {\n      try {\n        set = require('./_ctx')(Function.call, require('./_object-gopd').f(Object.prototype, '__proto__').set, 2);\n        set(test, []);\n        buggy = !(test instanceof Array);\n      } catch (e) { buggy = true; }\n      return function setPrototypeOf(O, proto) {\n        check(O, proto);\n        if (buggy) O.__proto__ = proto;\n        else set(O, proto);\n        return O;\n      };\n    }({}, false) : undefined),\n  check: check\n};\n","var document = require('./_global').document;\nmodule.exports = document && document.documentElement;\n","// IE 8- don't enum bug keys\nmodule.exports = (\n  'constructor,hasOwnProperty,isPrototypeOf,propertyIsEnumerable,toLocaleString,toString,valueOf'\n).split(',');\n","var shared = require('./_shared')('keys');\nvar uid = require('./_uid');\nmodule.exports = function (key) {\n  return shared[key] || (shared[key] = uid(key));\n};\n","var global = require('./_global');\nvar core = require('./_core');\nvar LIBRARY = require('./_library');\nvar wksExt = require('./_wks-ext');\nvar defineProperty = require('./_object-dp').f;\nmodule.exports = function (name) {\n  var $Symbol = core.Symbol || (core.Symbol = LIBRARY ? {} : global.Symbol || {});\n  if (name.charAt(0) != '_' && !(name in $Symbol)) defineProperty($Symbol, name, { value: wksExt.f(name) });\n};\n","var isObject = require('./_is-object');\nvar document = require('./_global').document;\n// typeof document.createElement is 'object' in old IE\nvar is = isObject(document) && isObject(document.createElement);\nmodule.exports = function (it) {\n  return is ? document.createElement(it) : {};\n};\n","var isObject = require('./_is-object');\nmodule.exports = function (it, TYPE) {\n  if (!isObject(it) || it._t !== TYPE) throw TypeError('Incompatible receiver, ' + TYPE + ' required!');\n  return it;\n};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\n\nconst MANIFEST_FILE = 'manifest.json';\n\nexport default class CheckpointLoader {\n  constructor(urlPath) {\n    this.urlPath = urlPath;\n    if (this.urlPath.charAt(this.urlPath.length - 1) !== '/') {\n      this.urlPath += '/';\n    }\n  }\n\n  async loadManifest() {\n    return new Promise((resolve, reject) => {\n      const xhr = new XMLHttpRequest();\n      xhr.open('GET', this.urlPath + MANIFEST_FILE);\n\n      xhr.onload = () => {\n        this.checkpointManifest = JSON.parse(xhr.responseText);\n        resolve();\n      };\n      xhr.onerror = (error) => {\n        reject();\n        throw new Error(`${MANIFEST_FILE} not found at ${this.urlPath}. ${error}`);\n      };\n      xhr.send();\n    });\n  }\n\n\n  async getCheckpointManifest() {\n    if (this.checkpointManifest == null) {\n      await this.loadManifest();\n    }\n    return this.checkpointManifest;\n  }\n\n  async getAllVariables() {\n    if (this.variables != null) {\n      return Promise.resolve(this.variables);\n    }\n    await this.getCheckpointManifest();\n    const variableNames = Object.keys(this.checkpointManifest);\n    const variablePromises = variableNames.map(v => this.getVariable(v));\n    return Promise.all(variablePromises).then((variables) => {\n      this.variables = {};\n      for (let i = 0; i < variables.length; i += 1) {\n        this.variables[variableNames[i]] = variables[i];\n      }\n      return this.variables;\n    });\n  }\n  getVariable(varName) {\n    if (!(varName in this.checkpointManifest)) {\n      throw new Error(`Cannot load non-existent variable ${varName}`);\n    }\n    const variableRequestPromiseMethod = (resolve) => {\n      const xhr = new XMLHttpRequest();\n      xhr.responseType = 'arraybuffer';\n      const fname = this.checkpointManifest[varName].filename;\n      xhr.open('GET', this.urlPath + fname);\n      xhr.onload = () => {\n        if (xhr.status === 404) {\n          throw new Error(`Not found variable ${varName}`);\n        }\n        const values = new Float32Array(xhr.response);\n        const tensor = tf.Tensor.make(this.checkpointManifest[varName].shape, { values });\n        resolve(tensor);\n      };\n      xhr.onerror = (error) => {\n        throw new Error(`Could not fetch variable ${varName}: ${error}`);\n      };\n      xhr.send();\n    };\n    if (this.checkpointManifest == null) {\n      return new Promise((resolve) => {\n        this.loadManifest().then(() => {\n          new Promise(variableRequestPromiseMethod).then(resolve);\n        });\n      });\n    }\n    return new Promise(variableRequestPromiseMethod);\n  }\n}\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _setPrototypeOf = require(\"../core-js/object/set-prototype-of\");\n\nvar _setPrototypeOf2 = _interopRequireDefault(_setPrototypeOf);\n\nvar _create = require(\"../core-js/object/create\");\n\nvar _create2 = _interopRequireDefault(_create);\n\nvar _typeof2 = require(\"../helpers/typeof\");\n\nvar _typeof3 = _interopRequireDefault(_typeof2);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function (subClass, superClass) {\n  if (typeof superClass !== \"function\" && superClass !== null) {\n    throw new TypeError(\"Super expression must either be null or a function, not \" + (typeof superClass === \"undefined\" ? \"undefined\" : (0, _typeof3.default)(superClass)));\n  }\n\n  subClass.prototype = (0, _create2.default)(superClass && superClass.prototype, {\n    constructor: {\n      value: subClass,\n      enumerable: false,\n      writable: true,\n      configurable: true\n    }\n  });\n  if (superClass) _setPrototypeOf2.default ? (0, _setPrototypeOf2.default)(subClass, superClass) : subClass.__proto__ = superClass;\n};","\"use strict\";\n\nexports.__esModule = true;\n\nvar _typeof2 = require(\"../helpers/typeof\");\n\nvar _typeof3 = _interopRequireDefault(_typeof2);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function (self, call) {\n  if (!self) {\n    throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n  }\n\n  return call && ((typeof call === \"undefined\" ? \"undefined\" : (0, _typeof3.default)(call)) === \"object\" || typeof call === \"function\") ? call : self;\n};","module.exports = { \"default\": require(\"core-js/library/fn/object/get-prototype-of\"), __esModule: true };","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nImage and Video base class\n*/\n\nclass Video {\n  constructor(video, size) {\n    this.videoElt = null;\n    this.size = size;\n    this.videoReady = false;\n\n    if (video instanceof HTMLVideoElement) {\n      this.videoElt = video;\n    } else if (video !== null && typeof video === 'object' && video.elt instanceof HTMLVideoElement) {\n      // Handle p5.js video element\n      this.videoElt = video.elt;\n    }\n  }\n\n  async loadVideo() {\n    return new Promise((resolve) => {\n      this.video = document.createElement('video');\n      const stream = this.videoElt.captureStream();\n      this.video.srcObject = stream;\n      this.video.width = this.size;\n      this.video.height = this.size;\n      this.video.autoplay = true;\n      this.video.playsinline = true;\n      this.video.muted = true;\n      const playPromise = this.video.play();\n      if (playPromise !== undefined) {\n        playPromise.then(() => {\n          resolve(this.video);\n        });\n      }\n    });\n  }\n}\n\nexport default Video;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nconst saveBlob = async (data, name, type) => {\n  const link = document.createElement('a');\n  link.style.display = 'none';\n  document.body.appendChild(link);\n  const blob = new Blob([data], { type });\n  link.href = URL.createObjectURL(blob);\n  link.download = name;\n  link.click();\n};\n\nconst loadFile = async (path, callback) => fetch(path)\n  .then(response => response.json())\n  .then((json) => {\n    if (callback) {\n      callback(null, json);\n    }\n    return json;\n  })\n  .catch((error) => {\n    if (callback) {\n      callback(error);\n    }\n    console.error(`There has been a problem loading the file: ${error.message}`);\n    throw error;\n  });\n\nexport {\n  saveBlob,\n  loadFile,\n};\n","// most Object methods by ES6 should accept primitives\nvar $export = require('./_export');\nvar core = require('./_core');\nvar fails = require('./_fails');\nmodule.exports = function (KEY, exec) {\n  var fn = (core.Object || {})[KEY] || Object[KEY];\n  var exp = {};\n  exp[KEY] = exec(fn);\n  $export($export.S + $export.F * fails(function () { fn(1); }), 'Object', exp);\n};\n","// @tensorflow/tfjs-models Copyright 2018 Google\nimport*as tf from\"@tensorflow/tfjs\";import{scalar,loadModel,tidy,zeros,Tensor,fromPixels,image,model}from\"@tensorflow/tfjs\";function __awaiter(e,a,r,o){return new(r||(r=Promise))(function(i,t){function n(e){try{l(o.next(e))}catch(e){t(e)}}function s(e){try{l(o.throw(e))}catch(e){t(e)}}function l(e){e.done?i(e.value):new r(function(a){a(e.value)}).then(n,s)}l((o=o.apply(e,a||[])).next())})}function __generator(e,a){var r,o,i,t,n={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return t={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(t[Symbol.iterator]=function(){return this}),t;function s(t){return function(s){return function(t){if(r)throw new TypeError(\"Generator is already executing.\");for(;n;)try{if(r=1,o&&(i=2&t[0]?o.return:t[0]?o.throw||((i=o.return)&&i.call(o),0):o.next)&&!(i=i.call(o,t[1])).done)return i;switch(o=0,i&&(t=[2&t[0],i.value]),t[0]){case 0:case 1:i=t;break;case 4:return n.label++,{value:t[1],done:!1};case 5:n.label++,o=t[1],t=[0];continue;case 7:t=n.ops.pop(),n.trys.pop();continue;default:if(!(i=(i=n.trys).length>0&&i[i.length-1])&&(6===t[0]||2===t[0])){n=0;continue}if(3===t[0]&&(!i||t[1]>i[0]&&t[1]<i[3])){n.label=t[1];break}if(6===t[0]&&n.label<i[1]){n.label=i[1],i=t;break}if(i&&n.label<i[2]){n.label=i[2],n.ops.push(t);break}i[2]&&n.ops.pop(),n.trys.pop();continue}t=a.call(e,n)}catch(e){t=[6,e],o=0}finally{r=i=0}if(5&t[0])throw t[1];return{value:t[0]?t[1]:void 0,done:!0}}([t,s])}}}var IMAGENET_CLASSES={0:\"tench, Tinca tinca\",1:\"goldfish, Carassius auratus\",2:\"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\",3:\"tiger shark, Galeocerdo cuvieri\",4:\"hammerhead, hammerhead shark\",5:\"electric ray, crampfish, numbfish, torpedo\",6:\"stingray\",7:\"cock\",8:\"hen\",9:\"ostrich, Struthio camelus\",10:\"brambling, Fringilla montifringilla\",11:\"goldfinch, Carduelis carduelis\",12:\"house finch, linnet, Carpodacus mexicanus\",13:\"junco, snowbird\",14:\"indigo bunting, indigo finch, indigo bird, Passerina cyanea\",15:\"robin, American robin, Turdus migratorius\",16:\"bulbul\",17:\"jay\",18:\"magpie\",19:\"chickadee\",20:\"water ouzel, dipper\",21:\"kite\",22:\"bald eagle, American eagle, Haliaeetus leucocephalus\",23:\"vulture\",24:\"great grey owl, great gray owl, Strix nebulosa\",25:\"European fire salamander, Salamandra salamandra\",26:\"common newt, Triturus vulgaris\",27:\"eft\",28:\"spotted salamander, Ambystoma maculatum\",29:\"axolotl, mud puppy, Ambystoma mexicanum\",30:\"bullfrog, Rana catesbeiana\",31:\"tree frog, tree-frog\",32:\"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui\",33:\"loggerhead, loggerhead turtle, Caretta caretta\",34:\"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea\",35:\"mud turtle\",36:\"terrapin\",37:\"box turtle, box tortoise\",38:\"banded gecko\",39:\"common iguana, iguana, Iguana iguana\",40:\"American chameleon, anole, Anolis carolinensis\",41:\"whiptail, whiptail lizard\",42:\"agama\",43:\"frilled lizard, Chlamydosaurus kingi\",44:\"alligator lizard\",45:\"Gila monster, Heloderma suspectum\",46:\"green lizard, Lacerta viridis\",47:\"African chameleon, Chamaeleo chamaeleon\",48:\"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis\",49:\"African crocodile, Nile crocodile, Crocodylus niloticus\",50:\"American alligator, Alligator mississipiensis\",51:\"triceratops\",52:\"thunder snake, worm snake, Carphophis amoenus\",53:\"ringneck snake, ring-necked snake, ring snake\",54:\"hognose snake, puff adder, sand viper\",55:\"green snake, grass snake\",56:\"king snake, kingsnake\",57:\"garter snake, grass snake\",58:\"water snake\",59:\"vine snake\",60:\"night snake, Hypsiglena torquata\",61:\"boa constrictor, Constrictor constrictor\",62:\"rock python, rock snake, Python sebae\",63:\"Indian cobra, Naja naja\",64:\"green mamba\",65:\"sea snake\",66:\"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus\",67:\"diamondback, diamondback rattlesnake, Crotalus adamanteus\",68:\"sidewinder, horned rattlesnake, Crotalus cerastes\",69:\"trilobite\",70:\"harvestman, daddy longlegs, Phalangium opilio\",71:\"scorpion\",72:\"black and gold garden spider, Argiope aurantia\",73:\"barn spider, Araneus cavaticus\",74:\"garden spider, Aranea diademata\",75:\"black widow, Latrodectus mactans\",76:\"tarantula\",77:\"wolf spider, hunting spider\",78:\"tick\",79:\"centipede\",80:\"black grouse\",81:\"ptarmigan\",82:\"ruffed grouse, partridge, Bonasa umbellus\",83:\"prairie chicken, prairie grouse, prairie fowl\",84:\"peacock\",85:\"quail\",86:\"partridge\",87:\"African grey, African gray, Psittacus erithacus\",88:\"macaw\",89:\"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita\",90:\"lorikeet\",91:\"coucal\",92:\"bee eater\",93:\"hornbill\",94:\"hummingbird\",95:\"jacamar\",96:\"toucan\",97:\"drake\",98:\"red-breasted merganser, Mergus serrator\",99:\"goose\",100:\"black swan, Cygnus atratus\",101:\"tusker\",102:\"echidna, spiny anteater, anteater\",103:\"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus\",104:\"wallaby, brush kangaroo\",105:\"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus\",106:\"wombat\",107:\"jelly fish\",108:\"sea anemone, anemone\",109:\"brain coral\",110:\"flatworm, platyhelminth\",111:\"nematode, nematode worm, roundworm\",112:\"conch\",113:\"snail\",114:\"slug\",115:\"sea slug, nudibranch\",116:\"chiton, coat-of-mail shell, sea cradle, polyplacophore\",117:\"chambered nautilus, pearly nautilus, nautilus\",118:\"Dungeness crab, Cancer magister\",119:\"rock crab, Cancer irroratus\",120:\"fiddler crab\",121:\"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica\",122:\"American lobster, Northern lobster, Maine lobster, Homarus americanus\",123:\"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish\",124:\"crayfish, crawfish, crawdad, crawdaddy\",125:\"hermit crab\",126:\"isopod\",127:\"white stork, Ciconia ciconia\",128:\"black stork, Ciconia nigra\",129:\"spoonbill\",130:\"flamingo\",131:\"little blue heron, Egretta caerulea\",132:\"American egret, great white heron, Egretta albus\",133:\"bittern\",134:\"crane\",135:\"limpkin, Aramus pictus\",136:\"European gallinule, Porphyrio porphyrio\",137:\"American coot, marsh hen, mud hen, water hen, Fulica americana\",138:\"bustard\",139:\"ruddy turnstone, Arenaria interpres\",140:\"red-backed sandpiper, dunlin, Erolia alpina\",141:\"redshank, Tringa totanus\",142:\"dowitcher\",143:\"oystercatcher, oyster catcher\",144:\"pelican\",145:\"king penguin, Aptenodytes patagonica\",146:\"albatross, mollymawk\",147:\"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus\",148:\"killer whale, killer, orca, grampus, sea wolf, Orcinus orca\",149:\"dugong, Dugong dugon\",150:\"sea lion\",151:\"Chihuahua\",152:\"Japanese spaniel\",153:\"Maltese dog, Maltese terrier, Maltese\",154:\"Pekinese, Pekingese, Peke\",155:\"Shih-Tzu\",156:\"Blenheim spaniel\",157:\"papillon\",158:\"toy terrier\",159:\"Rhodesian ridgeback\",160:\"Afghan hound, Afghan\",161:\"basset, basset hound\",162:\"beagle\",163:\"bloodhound, sleuthhound\",164:\"bluetick\",165:\"black-and-tan coonhound\",166:\"Walker hound, Walker foxhound\",167:\"English foxhound\",168:\"redbone\",169:\"borzoi, Russian wolfhound\",170:\"Irish wolfhound\",171:\"Italian greyhound\",172:\"whippet\",173:\"Ibizan hound, Ibizan Podenco\",174:\"Norwegian elkhound, elkhound\",175:\"otterhound, otter hound\",176:\"Saluki, gazelle hound\",177:\"Scottish deerhound, deerhound\",178:\"Weimaraner\",179:\"Staffordshire bullterrier, Staffordshire bull terrier\",180:\"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier\",181:\"Bedlington terrier\",182:\"Border terrier\",183:\"Kerry blue terrier\",184:\"Irish terrier\",185:\"Norfolk terrier\",186:\"Norwich terrier\",187:\"Yorkshire terrier\",188:\"wire-haired fox terrier\",189:\"Lakeland terrier\",190:\"Sealyham terrier, Sealyham\",191:\"Airedale, Airedale terrier\",192:\"cairn, cairn terrier\",193:\"Australian terrier\",194:\"Dandie Dinmont, Dandie Dinmont terrier\",195:\"Boston bull, Boston terrier\",196:\"miniature schnauzer\",197:\"giant schnauzer\",198:\"standard schnauzer\",199:\"Scotch terrier, Scottish terrier, Scottie\",200:\"Tibetan terrier, chrysanthemum dog\",201:\"silky terrier, Sydney silky\",202:\"soft-coated wheaten terrier\",203:\"West Highland white terrier\",204:\"Lhasa, Lhasa apso\",205:\"flat-coated retriever\",206:\"curly-coated retriever\",207:\"golden retriever\",208:\"Labrador retriever\",209:\"Chesapeake Bay retriever\",210:\"German short-haired pointer\",211:\"vizsla, Hungarian pointer\",212:\"English setter\",213:\"Irish setter, red setter\",214:\"Gordon setter\",215:\"Brittany spaniel\",216:\"clumber, clumber spaniel\",217:\"English springer, English springer spaniel\",218:\"Welsh springer spaniel\",219:\"cocker spaniel, English cocker spaniel, cocker\",220:\"Sussex spaniel\",221:\"Irish water spaniel\",222:\"kuvasz\",223:\"schipperke\",224:\"groenendael\",225:\"malinois\",226:\"briard\",227:\"kelpie\",228:\"komondor\",229:\"Old English sheepdog, bobtail\",230:\"Shetland sheepdog, Shetland sheep dog, Shetland\",231:\"collie\",232:\"Border collie\",233:\"Bouvier des Flandres, Bouviers des Flandres\",234:\"Rottweiler\",235:\"German shepherd, German shepherd dog, German police dog, alsatian\",236:\"Doberman, Doberman pinscher\",237:\"miniature pinscher\",238:\"Greater Swiss Mountain dog\",239:\"Bernese mountain dog\",240:\"Appenzeller\",241:\"EntleBucher\",242:\"boxer\",243:\"bull mastiff\",244:\"Tibetan mastiff\",245:\"French bulldog\",246:\"Great Dane\",247:\"Saint Bernard, St Bernard\",248:\"Eskimo dog, husky\",249:\"malamute, malemute, Alaskan malamute\",250:\"Siberian husky\",251:\"dalmatian, coach dog, carriage dog\",252:\"affenpinscher, monkey pinscher, monkey dog\",253:\"basenji\",254:\"pug, pug-dog\",255:\"Leonberg\",256:\"Newfoundland, Newfoundland dog\",257:\"Great Pyrenees\",258:\"Samoyed, Samoyede\",259:\"Pomeranian\",260:\"chow, chow chow\",261:\"keeshond\",262:\"Brabancon griffon\",263:\"Pembroke, Pembroke Welsh corgi\",264:\"Cardigan, Cardigan Welsh corgi\",265:\"toy poodle\",266:\"miniature poodle\",267:\"standard poodle\",268:\"Mexican hairless\",269:\"timber wolf, grey wolf, gray wolf, Canis lupus\",270:\"white wolf, Arctic wolf, Canis lupus tundrarum\",271:\"red wolf, maned wolf, Canis rufus, Canis niger\",272:\"coyote, prairie wolf, brush wolf, Canis latrans\",273:\"dingo, warrigal, warragal, Canis dingo\",274:\"dhole, Cuon alpinus\",275:\"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus\",276:\"hyena, hyaena\",277:\"red fox, Vulpes vulpes\",278:\"kit fox, Vulpes macrotis\",279:\"Arctic fox, white fox, Alopex lagopus\",280:\"grey fox, gray fox, Urocyon cinereoargenteus\",281:\"tabby, tabby cat\",282:\"tiger cat\",283:\"Persian cat\",284:\"Siamese cat, Siamese\",285:\"Egyptian cat\",286:\"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor\",287:\"lynx, catamount\",288:\"leopard, Panthera pardus\",289:\"snow leopard, ounce, Panthera uncia\",290:\"jaguar, panther, Panthera onca, Felis onca\",291:\"lion, king of beasts, Panthera leo\",292:\"tiger, Panthera tigris\",293:\"cheetah, chetah, Acinonyx jubatus\",294:\"brown bear, bruin, Ursus arctos\",295:\"American black bear, black bear, Ursus americanus, Euarctos americanus\",296:\"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus\",297:\"sloth bear, Melursus ursinus, Ursus ursinus\",298:\"mongoose\",299:\"meerkat, mierkat\",300:\"tiger beetle\",301:\"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle\",302:\"ground beetle, carabid beetle\",303:\"long-horned beetle, longicorn, longicorn beetle\",304:\"leaf beetle, chrysomelid\",305:\"dung beetle\",306:\"rhinoceros beetle\",307:\"weevil\",308:\"fly\",309:\"bee\",310:\"ant, emmet, pismire\",311:\"grasshopper, hopper\",312:\"cricket\",313:\"walking stick, walkingstick, stick insect\",314:\"cockroach, roach\",315:\"mantis, mantid\",316:\"cicada, cicala\",317:\"leafhopper\",318:\"lacewing, lacewing fly\",319:\"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk\",320:\"damselfly\",321:\"admiral\",322:\"ringlet, ringlet butterfly\",323:\"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus\",324:\"cabbage butterfly\",325:\"sulphur butterfly, sulfur butterfly\",326:\"lycaenid, lycaenid butterfly\",327:\"starfish, sea star\",328:\"sea urchin\",329:\"sea cucumber, holothurian\",330:\"wood rabbit, cottontail, cottontail rabbit\",331:\"hare\",332:\"Angora, Angora rabbit\",333:\"hamster\",334:\"porcupine, hedgehog\",335:\"fox squirrel, eastern fox squirrel, Sciurus niger\",336:\"marmot\",337:\"beaver\",338:\"guinea pig, Cavia cobaya\",339:\"sorrel\",340:\"zebra\",341:\"hog, pig, grunter, squealer, Sus scrofa\",342:\"wild boar, boar, Sus scrofa\",343:\"warthog\",344:\"hippopotamus, hippo, river horse, Hippopotamus amphibius\",345:\"ox\",346:\"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis\",347:\"bison\",348:\"ram, tup\",349:\"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis\",350:\"ibex, Capra ibex\",351:\"hartebeest\",352:\"impala, Aepyceros melampus\",353:\"gazelle\",354:\"Arabian camel, dromedary, Camelus dromedarius\",355:\"llama\",356:\"weasel\",357:\"mink\",358:\"polecat, fitch, foulmart, foumart, Mustela putorius\",359:\"black-footed ferret, ferret, Mustela nigripes\",360:\"otter\",361:\"skunk, polecat, wood pussy\",362:\"badger\",363:\"armadillo\",364:\"three-toed sloth, ai, Bradypus tridactylus\",365:\"orangutan, orang, orangutang, Pongo pygmaeus\",366:\"gorilla, Gorilla gorilla\",367:\"chimpanzee, chimp, Pan troglodytes\",368:\"gibbon, Hylobates lar\",369:\"siamang, Hylobates syndactylus, Symphalangus syndactylus\",370:\"guenon, guenon monkey\",371:\"patas, hussar monkey, Erythrocebus patas\",372:\"baboon\",373:\"macaque\",374:\"langur\",375:\"colobus, colobus monkey\",376:\"proboscis monkey, Nasalis larvatus\",377:\"marmoset\",378:\"capuchin, ringtail, Cebus capucinus\",379:\"howler monkey, howler\",380:\"titi, titi monkey\",381:\"spider monkey, Ateles geoffroyi\",382:\"squirrel monkey, Saimiri sciureus\",383:\"Madagascar cat, ring-tailed lemur, Lemur catta\",384:\"indri, indris, Indri indri, Indri brevicaudatus\",385:\"Indian elephant, Elephas maximus\",386:\"African elephant, Loxodonta africana\",387:\"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens\",388:\"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca\",389:\"barracouta, snoek\",390:\"eel\",391:\"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch\",392:\"rock beauty, Holocanthus tricolor\",393:\"anemone fish\",394:\"sturgeon\",395:\"gar, garfish, garpike, billfish, Lepisosteus osseus\",396:\"lionfish\",397:\"puffer, pufferfish, blowfish, globefish\",398:\"abacus\",399:\"abaya\",400:\"academic gown, academic robe, judge's robe\",401:\"accordion, piano accordion, squeeze box\",402:\"acoustic guitar\",403:\"aircraft carrier, carrier, flattop, attack aircraft carrier\",404:\"airliner\",405:\"airship, dirigible\",406:\"altar\",407:\"ambulance\",408:\"amphibian, amphibious vehicle\",409:\"analog clock\",410:\"apiary, bee house\",411:\"apron\",412:\"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin\",413:\"assault rifle, assault gun\",414:\"backpack, back pack, knapsack, packsack, rucksack, haversack\",415:\"bakery, bakeshop, bakehouse\",416:\"balance beam, beam\",417:\"balloon\",418:\"ballpoint, ballpoint pen, ballpen, Biro\",419:\"Band Aid\",420:\"banjo\",421:\"bannister, banister, balustrade, balusters, handrail\",422:\"barbell\",423:\"barber chair\",424:\"barbershop\",425:\"barn\",426:\"barometer\",427:\"barrel, cask\",428:\"barrow, garden cart, lawn cart, wheelbarrow\",429:\"baseball\",430:\"basketball\",431:\"bassinet\",432:\"bassoon\",433:\"bathing cap, swimming cap\",434:\"bath towel\",435:\"bathtub, bathing tub, bath, tub\",436:\"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon\",437:\"beacon, lighthouse, beacon light, pharos\",438:\"beaker\",439:\"bearskin, busby, shako\",440:\"beer bottle\",441:\"beer glass\",442:\"bell cote, bell cot\",443:\"bib\",444:\"bicycle-built-for-two, tandem bicycle, tandem\",445:\"bikini, two-piece\",446:\"binder, ring-binder\",447:\"binoculars, field glasses, opera glasses\",448:\"birdhouse\",449:\"boathouse\",450:\"bobsled, bobsleigh, bob\",451:\"bolo tie, bolo, bola tie, bola\",452:\"bonnet, poke bonnet\",453:\"bookcase\",454:\"bookshop, bookstore, bookstall\",455:\"bottlecap\",456:\"bow\",457:\"bow tie, bow-tie, bowtie\",458:\"brass, memorial tablet, plaque\",459:\"brassiere, bra, bandeau\",460:\"breakwater, groin, groyne, mole, bulwark, seawall, jetty\",461:\"breastplate, aegis, egis\",462:\"broom\",463:\"bucket, pail\",464:\"buckle\",465:\"bulletproof vest\",466:\"bullet train, bullet\",467:\"butcher shop, meat market\",468:\"cab, hack, taxi, taxicab\",469:\"caldron, cauldron\",470:\"candle, taper, wax light\",471:\"cannon\",472:\"canoe\",473:\"can opener, tin opener\",474:\"cardigan\",475:\"car mirror\",476:\"carousel, carrousel, merry-go-round, roundabout, whirligig\",477:\"carpenter's kit, tool kit\",478:\"carton\",479:\"car wheel\",480:\"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM\",481:\"cassette\",482:\"cassette player\",483:\"castle\",484:\"catamaran\",485:\"CD player\",486:\"cello, violoncello\",487:\"cellular telephone, cellular phone, cellphone, cell, mobile phone\",488:\"chain\",489:\"chainlink fence\",490:\"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour\",491:\"chain saw, chainsaw\",492:\"chest\",493:\"chiffonier, commode\",494:\"chime, bell, gong\",495:\"china cabinet, china closet\",496:\"Christmas stocking\",497:\"church, church building\",498:\"cinema, movie theater, movie theatre, movie house, picture palace\",499:\"cleaver, meat cleaver, chopper\",500:\"cliff dwelling\",501:\"cloak\",502:\"clog, geta, patten, sabot\",503:\"cocktail shaker\",504:\"coffee mug\",505:\"coffeepot\",506:\"coil, spiral, volute, whorl, helix\",507:\"combination lock\",508:\"computer keyboard, keypad\",509:\"confectionery, confectionary, candy store\",510:\"container ship, containership, container vessel\",511:\"convertible\",512:\"corkscrew, bottle screw\",513:\"cornet, horn, trumpet, trump\",514:\"cowboy boot\",515:\"cowboy hat, ten-gallon hat\",516:\"cradle\",517:\"crane\",518:\"crash helmet\",519:\"crate\",520:\"crib, cot\",521:\"Crock Pot\",522:\"croquet ball\",523:\"crutch\",524:\"cuirass\",525:\"dam, dike, dyke\",526:\"desk\",527:\"desktop computer\",528:\"dial telephone, dial phone\",529:\"diaper, nappy, napkin\",530:\"digital clock\",531:\"digital watch\",532:\"dining table, board\",533:\"dishrag, dishcloth\",534:\"dishwasher, dish washer, dishwashing machine\",535:\"disk brake, disc brake\",536:\"dock, dockage, docking facility\",537:\"dogsled, dog sled, dog sleigh\",538:\"dome\",539:\"doormat, welcome mat\",540:\"drilling platform, offshore rig\",541:\"drum, membranophone, tympan\",542:\"drumstick\",543:\"dumbbell\",544:\"Dutch oven\",545:\"electric fan, blower\",546:\"electric guitar\",547:\"electric locomotive\",548:\"entertainment center\",549:\"envelope\",550:\"espresso maker\",551:\"face powder\",552:\"feather boa, boa\",553:\"file, file cabinet, filing cabinet\",554:\"fireboat\",555:\"fire engine, fire truck\",556:\"fire screen, fireguard\",557:\"flagpole, flagstaff\",558:\"flute, transverse flute\",559:\"folding chair\",560:\"football helmet\",561:\"forklift\",562:\"fountain\",563:\"fountain pen\",564:\"four-poster\",565:\"freight car\",566:\"French horn, horn\",567:\"frying pan, frypan, skillet\",568:\"fur coat\",569:\"garbage truck, dustcart\",570:\"gasmask, respirator, gas helmet\",571:\"gas pump, gasoline pump, petrol pump, island dispenser\",572:\"goblet\",573:\"go-kart\",574:\"golf ball\",575:\"golfcart, golf cart\",576:\"gondola\",577:\"gong, tam-tam\",578:\"gown\",579:\"grand piano, grand\",580:\"greenhouse, nursery, glasshouse\",581:\"grille, radiator grille\",582:\"grocery store, grocery, food market, market\",583:\"guillotine\",584:\"hair slide\",585:\"hair spray\",586:\"half track\",587:\"hammer\",588:\"hamper\",589:\"hand blower, blow dryer, blow drier, hair dryer, hair drier\",590:\"hand-held computer, hand-held microcomputer\",591:\"handkerchief, hankie, hanky, hankey\",592:\"hard disc, hard disk, fixed disk\",593:\"harmonica, mouth organ, harp, mouth harp\",594:\"harp\",595:\"harvester, reaper\",596:\"hatchet\",597:\"holster\",598:\"home theater, home theatre\",599:\"honeycomb\",600:\"hook, claw\",601:\"hoopskirt, crinoline\",602:\"horizontal bar, high bar\",603:\"horse cart, horse-cart\",604:\"hourglass\",605:\"iPod\",606:\"iron, smoothing iron\",607:\"jack-o'-lantern\",608:\"jean, blue jean, denim\",609:\"jeep, landrover\",610:\"jersey, T-shirt, tee shirt\",611:\"jigsaw puzzle\",612:\"jinrikisha, ricksha, rickshaw\",613:\"joystick\",614:\"kimono\",615:\"knee pad\",616:\"knot\",617:\"lab coat, laboratory coat\",618:\"ladle\",619:\"lampshade, lamp shade\",620:\"laptop, laptop computer\",621:\"lawn mower, mower\",622:\"lens cap, lens cover\",623:\"letter opener, paper knife, paperknife\",624:\"library\",625:\"lifeboat\",626:\"lighter, light, igniter, ignitor\",627:\"limousine, limo\",628:\"liner, ocean liner\",629:\"lipstick, lip rouge\",630:\"Loafer\",631:\"lotion\",632:\"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system\",633:\"loupe, jeweler's loupe\",634:\"lumbermill, sawmill\",635:\"magnetic compass\",636:\"mailbag, postbag\",637:\"mailbox, letter box\",638:\"maillot\",639:\"maillot, tank suit\",640:\"manhole cover\",641:\"maraca\",642:\"marimba, xylophone\",643:\"mask\",644:\"matchstick\",645:\"maypole\",646:\"maze, labyrinth\",647:\"measuring cup\",648:\"medicine chest, medicine cabinet\",649:\"megalith, megalithic structure\",650:\"microphone, mike\",651:\"microwave, microwave oven\",652:\"military uniform\",653:\"milk can\",654:\"minibus\",655:\"miniskirt, mini\",656:\"minivan\",657:\"missile\",658:\"mitten\",659:\"mixing bowl\",660:\"mobile home, manufactured home\",661:\"Model T\",662:\"modem\",663:\"monastery\",664:\"monitor\",665:\"moped\",666:\"mortar\",667:\"mortarboard\",668:\"mosque\",669:\"mosquito net\",670:\"motor scooter, scooter\",671:\"mountain bike, all-terrain bike, off-roader\",672:\"mountain tent\",673:\"mouse, computer mouse\",674:\"mousetrap\",675:\"moving van\",676:\"muzzle\",677:\"nail\",678:\"neck brace\",679:\"necklace\",680:\"nipple\",681:\"notebook, notebook computer\",682:\"obelisk\",683:\"oboe, hautboy, hautbois\",684:\"ocarina, sweet potato\",685:\"odometer, hodometer, mileometer, milometer\",686:\"oil filter\",687:\"organ, pipe organ\",688:\"oscilloscope, scope, cathode-ray oscilloscope, CRO\",689:\"overskirt\",690:\"oxcart\",691:\"oxygen mask\",692:\"packet\",693:\"paddle, boat paddle\",694:\"paddlewheel, paddle wheel\",695:\"padlock\",696:\"paintbrush\",697:\"pajama, pyjama, pj's, jammies\",698:\"palace\",699:\"panpipe, pandean pipe, syrinx\",700:\"paper towel\",701:\"parachute, chute\",702:\"parallel bars, bars\",703:\"park bench\",704:\"parking meter\",705:\"passenger car, coach, carriage\",706:\"patio, terrace\",707:\"pay-phone, pay-station\",708:\"pedestal, plinth, footstall\",709:\"pencil box, pencil case\",710:\"pencil sharpener\",711:\"perfume, essence\",712:\"Petri dish\",713:\"photocopier\",714:\"pick, plectrum, plectron\",715:\"pickelhaube\",716:\"picket fence, paling\",717:\"pickup, pickup truck\",718:\"pier\",719:\"piggy bank, penny bank\",720:\"pill bottle\",721:\"pillow\",722:\"ping-pong ball\",723:\"pinwheel\",724:\"pirate, pirate ship\",725:\"pitcher, ewer\",726:\"plane, carpenter's plane, woodworking plane\",727:\"planetarium\",728:\"plastic bag\",729:\"plate rack\",730:\"plow, plough\",731:\"plunger, plumber's helper\",732:\"Polaroid camera, Polaroid Land camera\",733:\"pole\",734:\"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria\",735:\"poncho\",736:\"pool table, billiard table, snooker table\",737:\"pop bottle, soda bottle\",738:\"pot, flowerpot\",739:\"potter's wheel\",740:\"power drill\",741:\"prayer rug, prayer mat\",742:\"printer\",743:\"prison, prison house\",744:\"projectile, missile\",745:\"projector\",746:\"puck, hockey puck\",747:\"punching bag, punch bag, punching ball, punchball\",748:\"purse\",749:\"quill, quill pen\",750:\"quilt, comforter, comfort, puff\",751:\"racer, race car, racing car\",752:\"racket, racquet\",753:\"radiator\",754:\"radio, wireless\",755:\"radio telescope, radio reflector\",756:\"rain barrel\",757:\"recreational vehicle, RV, R.V.\",758:\"reel\",759:\"reflex camera\",760:\"refrigerator, icebox\",761:\"remote control, remote\",762:\"restaurant, eating house, eating place, eatery\",763:\"revolver, six-gun, six-shooter\",764:\"rifle\",765:\"rocking chair, rocker\",766:\"rotisserie\",767:\"rubber eraser, rubber, pencil eraser\",768:\"rugby ball\",769:\"rule, ruler\",770:\"running shoe\",771:\"safe\",772:\"safety pin\",773:\"saltshaker, salt shaker\",774:\"sandal\",775:\"sarong\",776:\"sax, saxophone\",777:\"scabbard\",778:\"scale, weighing machine\",779:\"school bus\",780:\"schooner\",781:\"scoreboard\",782:\"screen, CRT screen\",783:\"screw\",784:\"screwdriver\",785:\"seat belt, seatbelt\",786:\"sewing machine\",787:\"shield, buckler\",788:\"shoe shop, shoe-shop, shoe store\",789:\"shoji\",790:\"shopping basket\",791:\"shopping cart\",792:\"shovel\",793:\"shower cap\",794:\"shower curtain\",795:\"ski\",796:\"ski mask\",797:\"sleeping bag\",798:\"slide rule, slipstick\",799:\"sliding door\",800:\"slot, one-armed bandit\",801:\"snorkel\",802:\"snowmobile\",803:\"snowplow, snowplough\",804:\"soap dispenser\",805:\"soccer ball\",806:\"sock\",807:\"solar dish, solar collector, solar furnace\",808:\"sombrero\",809:\"soup bowl\",810:\"space bar\",811:\"space heater\",812:\"space shuttle\",813:\"spatula\",814:\"speedboat\",815:\"spider web, spider's web\",816:\"spindle\",817:\"sports car, sport car\",818:\"spotlight, spot\",819:\"stage\",820:\"steam locomotive\",821:\"steel arch bridge\",822:\"steel drum\",823:\"stethoscope\",824:\"stole\",825:\"stone wall\",826:\"stopwatch, stop watch\",827:\"stove\",828:\"strainer\",829:\"streetcar, tram, tramcar, trolley, trolley car\",830:\"stretcher\",831:\"studio couch, day bed\",832:\"stupa, tope\",833:\"submarine, pigboat, sub, U-boat\",834:\"suit, suit of clothes\",835:\"sundial\",836:\"sunglass\",837:\"sunglasses, dark glasses, shades\",838:\"sunscreen, sunblock, sun blocker\",839:\"suspension bridge\",840:\"swab, swob, mop\",841:\"sweatshirt\",842:\"swimming trunks, bathing trunks\",843:\"swing\",844:\"switch, electric switch, electrical switch\",845:\"syringe\",846:\"table lamp\",847:\"tank, army tank, armored combat vehicle, armoured combat vehicle\",848:\"tape player\",849:\"teapot\",850:\"teddy, teddy bear\",851:\"television, television system\",852:\"tennis ball\",853:\"thatch, thatched roof\",854:\"theater curtain, theatre curtain\",855:\"thimble\",856:\"thresher, thrasher, threshing machine\",857:\"throne\",858:\"tile roof\",859:\"toaster\",860:\"tobacco shop, tobacconist shop, tobacconist\",861:\"toilet seat\",862:\"torch\",863:\"totem pole\",864:\"tow truck, tow car, wrecker\",865:\"toyshop\",866:\"tractor\",867:\"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi\",868:\"tray\",869:\"trench coat\",870:\"tricycle, trike, velocipede\",871:\"trimaran\",872:\"tripod\",873:\"triumphal arch\",874:\"trolleybus, trolley coach, trackless trolley\",875:\"trombone\",876:\"tub, vat\",877:\"turnstile\",878:\"typewriter keyboard\",879:\"umbrella\",880:\"unicycle, monocycle\",881:\"upright, upright piano\",882:\"vacuum, vacuum cleaner\",883:\"vase\",884:\"vault\",885:\"velvet\",886:\"vending machine\",887:\"vestment\",888:\"viaduct\",889:\"violin, fiddle\",890:\"volleyball\",891:\"waffle iron\",892:\"wall clock\",893:\"wallet, billfold, notecase, pocketbook\",894:\"wardrobe, closet, press\",895:\"warplane, military plane\",896:\"washbasin, handbasin, washbowl, lavabo, wash-hand basin\",897:\"washer, automatic washer, washing machine\",898:\"water bottle\",899:\"water jug\",900:\"water tower\",901:\"whiskey jug\",902:\"whistle\",903:\"wig\",904:\"window screen\",905:\"window shade\",906:\"Windsor tie\",907:\"wine bottle\",908:\"wing\",909:\"wok\",910:\"wooden spoon\",911:\"wool, woolen, woollen\",912:\"worm fence, snake fence, snake-rail fence, Virginia fence\",913:\"wreck\",914:\"yawl\",915:\"yurt\",916:\"web site, website, internet site, site\",917:\"comic book\",918:\"crossword puzzle, crossword\",919:\"street sign\",920:\"traffic light, traffic signal, stoplight\",921:\"book jacket, dust cover, dust jacket, dust wrapper\",922:\"menu\",923:\"plate\",924:\"guacamole\",925:\"consomme\",926:\"hot pot, hotpot\",927:\"trifle\",928:\"ice cream, icecream\",929:\"ice lolly, lolly, lollipop, popsicle\",930:\"French loaf\",931:\"bagel, beigel\",932:\"pretzel\",933:\"cheeseburger\",934:\"hotdog, hot dog, red hot\",935:\"mashed potato\",936:\"head cabbage\",937:\"broccoli\",938:\"cauliflower\",939:\"zucchini, courgette\",940:\"spaghetti squash\",941:\"acorn squash\",942:\"butternut squash\",943:\"cucumber, cuke\",944:\"artichoke, globe artichoke\",945:\"bell pepper\",946:\"cardoon\",947:\"mushroom\",948:\"Granny Smith\",949:\"strawberry\",950:\"orange\",951:\"lemon\",952:\"fig\",953:\"pineapple, ananas\",954:\"banana\",955:\"jackfruit, jak, jack\",956:\"custard apple\",957:\"pomegranate\",958:\"hay\",959:\"carbonara\",960:\"chocolate sauce, chocolate syrup\",961:\"dough\",962:\"meat loaf, meatloaf\",963:\"pizza, pizza pie\",964:\"potpie\",965:\"burrito\",966:\"red wine\",967:\"espresso\",968:\"cup\",969:\"eggnog\",970:\"alp\",971:\"bubble\",972:\"cliff, drop, drop-off\",973:\"coral reef\",974:\"geyser\",975:\"lakeside, lakeshore\",976:\"promontory, headland, head, foreland\",977:\"sandbar, sand bar\",978:\"seashore, coast, seacoast, sea-coast\",979:\"valley, vale\",980:\"volcano\",981:\"ballplayer, baseball player\",982:\"groom, bridegroom\",983:\"scuba diver\",984:\"rapeseed\",985:\"daisy\",986:\"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum\",987:\"corn\",988:\"acorn\",989:\"hip, rose hip, rosehip\",990:\"buckeye, horse chestnut, conker\",991:\"coral fungus\",992:\"agaric\",993:\"gyromitra\",994:\"stinkhorn, carrion fungus\",995:\"earthstar\",996:\"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa\",997:\"bolete\",998:\"ear, spike, capitulum\",999:\"toilet tissue, toilet paper, bathroom tissue\"},BASE_PATH=\"https://storage.googleapis.com/tfjs-models/tfjs/\",IMAGE_SIZE=224;function load(e,a){return void 0===e&&(e=1),void 0===a&&(a=1),__awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(o){switch(o.label){case 0:if(null==tf)throw new Error(\"Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.\");if(1!==e)throw new Error(\"Currently only MobileNet V1 is supported. Got version \"+e+\".\");if(-1===[.25,.5,.75,1].indexOf(a))throw new Error(\"MobileNet constructed with invalid alpha \"+a+\". Valid multipliers are 0.25, 0.50, 0.75, and 1.0.\");return[4,(r=new MobileNet(e,a)).load()];case 1:return o.sent(),[2,r]}})})}var MobileNet=function(){function e(e,a){this.intermediateModels={};var r={.25:\"0.25\",.5:\"0.50\",.75:\"0.75\",1:\"1.0\"}[a];this.path=BASE_PATH+\"mobilenet_v\"+e+\"_\"+r+\"_\"+IMAGE_SIZE+\"/model.json\",this.normalizationOffset=scalar(127.5)}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,a,r=this;return __generator(this,function(o){switch(o.label){case 0:return e=this,[4,loadModel(this.path)];case 1:return e.model=o.sent(),this.endpoints=this.model.layers.map(function(e){return e.name}),[4,(a=tidy(function(){return r.model.predict(zeros([1,IMAGE_SIZE,IMAGE_SIZE,3]))})).data()];case 2:return o.sent(),a.dispose(),[2]}})})},e.prototype.infer=function(e,a){var r=this;if(null!=a&&-1===this.endpoints.indexOf(a))throw new Error(\"Unknown endpoint \"+a+\". Available endpoints: \"+this.endpoints+\".\");return tidy(function(){e instanceof Tensor||(e=fromPixels(e));var o=e.toFloat().sub(r.normalizationOffset).div(r.normalizationOffset),i=o;if(e.shape[0]!==IMAGE_SIZE||e.shape[1]!==IMAGE_SIZE){i=image.resizeBilinear(o,[IMAGE_SIZE,IMAGE_SIZE],!0)}var t,n=i.reshape([1,IMAGE_SIZE,IMAGE_SIZE,3]);if(null==a)t=r.model;else{if(null==r.intermediateModels[a]){var s=r.model.layers.find(function(e){return e.name===a});r.intermediateModels[a]=model({inputs:r.model.inputs,outputs:s.output})}t=r.intermediateModels[a]}return t.predict(n)})},e.prototype.classify=function(e,a){return void 0===a&&(a=3),__awaiter(this,void 0,void 0,function(){var r,o;return __generator(this,function(i){switch(i.label){case 0:return[4,getTopKClasses(r=this.infer(e),a)];case 1:return o=i.sent(),r.dispose(),[2,o]}})})},e}();function getTopKClasses(e,a){return __awaiter(this,void 0,void 0,function(){var r,o,i,t,n,s;return __generator(this,function(l){switch(l.label){case 0:return[4,e.data()];case 1:for(r=l.sent(),o=[],s=0;s<r.length;s++)o.push({value:r[s],index:s});for(o.sort(function(e,a){return a.value-e.value}),i=new Float32Array(a),t=new Int32Array(a),s=0;s<a;s++)i[s]=o[s].value,t[s]=o[s].index;for(n=[],s=0;s<t.length;s++)n.push({className:IMAGENET_CLASSES[t[s]],probability:i[s]});return[2,n]}})})}export{load,MobileNet};\n","var pIE = require('./_object-pie');\nvar createDesc = require('./_property-desc');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar has = require('./_has');\nvar IE8_DOM_DEFINE = require('./_ie8-dom-define');\nvar gOPD = Object.getOwnPropertyDescriptor;\n\nexports.f = require('./_descriptors') ? gOPD : function getOwnPropertyDescriptor(O, P) {\n  O = toIObject(O);\n  P = toPrimitive(P, true);\n  if (IE8_DOM_DEFINE) try {\n    return gOPD(O, P);\n  } catch (e) { /* empty */ }\n  if (has(O, P)) return createDesc(!pIE.f.call(O, P), O[P]);\n};\n","// 19.1.2.7 / 15.2.3.4 Object.getOwnPropertyNames(O)\nvar $keys = require('./_object-keys-internal');\nvar hiddenKeys = require('./_enum-bug-keys').concat('length', 'prototype');\n\nexports.f = Object.getOwnPropertyNames || function getOwnPropertyNames(O) {\n  return $keys(O, hiddenKeys);\n};\n","// 7.2.2 IsArray(argument)\nvar cof = require('./_cof');\nmodule.exports = Array.isArray || function isArray(arg) {\n  return cof(arg) == 'Array';\n};\n","var ITERATOR = require('./_wks')('iterator');\nvar SAFE_CLOSING = false;\n\ntry {\n  var riter = [7][ITERATOR]();\n  riter['return'] = function () { SAFE_CLOSING = true; };\n  // eslint-disable-next-line no-throw-literal\n  Array.from(riter, function () { throw 2; });\n} catch (e) { /* empty */ }\n\nmodule.exports = function (exec, skipClosing) {\n  if (!skipClosing && !SAFE_CLOSING) return false;\n  var safe = false;\n  try {\n    var arr = [7];\n    var iter = arr[ITERATOR]();\n    iter.next = function () { return { done: safe = true }; };\n    arr[ITERATOR] = function () { return iter; };\n    exec(arr);\n  } catch (e) { /* empty */ }\n  return safe;\n};\n","'use strict';\nvar global = require('./_global');\nvar core = require('./_core');\nvar dP = require('./_object-dp');\nvar DESCRIPTORS = require('./_descriptors');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (KEY) {\n  var C = typeof core[KEY] == 'function' ? core[KEY] : global[KEY];\n  if (DESCRIPTORS && C && !C[SPECIES]) dP.f(C, SPECIES, {\n    configurable: true,\n    get: function () { return this; }\n  });\n};\n","var anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar newPromiseCapability = require('./_new-promise-capability');\n\nmodule.exports = function (C, x) {\n  anObject(C);\n  if (isObject(x) && x.constructor === C) return x;\n  var promiseCapability = newPromiseCapability.f(C);\n  var resolve = promiseCapability.resolve;\n  resolve(x);\n  return promiseCapability.promise;\n};\n","module.exports = function (exec) {\n  try {\n    return { e: false, v: exec() };\n  } catch (e) {\n    return { e: true, v: e };\n  }\n};\n","var ctx = require('./_ctx');\nvar invoke = require('./_invoke');\nvar html = require('./_html');\nvar cel = require('./_dom-create');\nvar global = require('./_global');\nvar process = global.process;\nvar setTask = global.setImmediate;\nvar clearTask = global.clearImmediate;\nvar MessageChannel = global.MessageChannel;\nvar Dispatch = global.Dispatch;\nvar counter = 0;\nvar queue = {};\nvar ONREADYSTATECHANGE = 'onreadystatechange';\nvar defer, channel, port;\nvar run = function () {\n  var id = +this;\n  // eslint-disable-next-line no-prototype-builtins\n  if (queue.hasOwnProperty(id)) {\n    var fn = queue[id];\n    delete queue[id];\n    fn();\n  }\n};\nvar listener = function (event) {\n  run.call(event.data);\n};\n// Node.js 0.9+ & IE10+ has setImmediate, otherwise:\nif (!setTask || !clearTask) {\n  setTask = function setImmediate(fn) {\n    var args = [];\n    var i = 1;\n    while (arguments.length > i) args.push(arguments[i++]);\n    queue[++counter] = function () {\n      // eslint-disable-next-line no-new-func\n      invoke(typeof fn == 'function' ? fn : Function(fn), args);\n    };\n    defer(counter);\n    return counter;\n  };\n  clearTask = function clearImmediate(id) {\n    delete queue[id];\n  };\n  // Node.js 0.8-\n  if (require('./_cof')(process) == 'process') {\n    defer = function (id) {\n      process.nextTick(ctx(run, id, 1));\n    };\n  // Sphere (JS game engine) Dispatch API\n  } else if (Dispatch && Dispatch.now) {\n    defer = function (id) {\n      Dispatch.now(ctx(run, id, 1));\n    };\n  // Browsers with MessageChannel, includes WebWorkers\n  } else if (MessageChannel) {\n    channel = new MessageChannel();\n    port = channel.port2;\n    channel.port1.onmessage = listener;\n    defer = ctx(port.postMessage, port, 1);\n  // Browsers with postMessage, skip WebWorkers\n  // IE8 has postMessage, but it's sync & typeof its postMessage is 'object'\n  } else if (global.addEventListener && typeof postMessage == 'function' && !global.importScripts) {\n    defer = function (id) {\n      global.postMessage(id + '', '*');\n    };\n    global.addEventListener('message', listener, false);\n  // IE8-\n  } else if (ONREADYSTATECHANGE in cel('script')) {\n    defer = function (id) {\n      html.appendChild(cel('script'))[ONREADYSTATECHANGE] = function () {\n        html.removeChild(this);\n        run.call(id);\n      };\n    };\n  // Rest old browsers\n  } else {\n    defer = function (id) {\n      setTimeout(ctx(run, id, 1), 0);\n    };\n  }\n}\nmodule.exports = {\n  set: setTask,\n  clear: clearTask\n};\n","// 7.3.20 SpeciesConstructor(O, defaultConstructor)\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar SPECIES = require('./_wks')('species');\nmodule.exports = function (O, D) {\n  var C = anObject(O).constructor;\n  var S;\n  return C === undefined || (S = anObject(C)[SPECIES]) == undefined ? D : aFunction(S);\n};\n","// check on default Array iterator\nvar Iterators = require('./_iterators');\nvar ITERATOR = require('./_wks')('iterator');\nvar ArrayProto = Array.prototype;\n\nmodule.exports = function (it) {\n  return it !== undefined && (Iterators.Array === it || ArrayProto[ITERATOR] === it);\n};\n","// call something on iterator step with safe closing on error\nvar anObject = require('./_an-object');\nmodule.exports = function (iterator, fn, value, entries) {\n  try {\n    return entries ? fn(anObject(value)[0], value[1]) : fn(value);\n  // 7.4.6 IteratorClose(iterator, completion)\n  } catch (e) {\n    var ret = iterator['return'];\n    if (ret !== undefined) anObject(ret.call(iterator));\n    throw e;\n  }\n};\n","module.exports = function (done, value) {\n  return { value: value, done: !!done };\n};\n","// 19.1.2.9 / 15.2.3.2 Object.getPrototypeOf(O)\nvar has = require('./_has');\nvar toObject = require('./_to-object');\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\nvar ObjectProto = Object.prototype;\n\nmodule.exports = Object.getPrototypeOf || function (O) {\n  O = toObject(O);\n  if (has(O, IE_PROTO)) return O[IE_PROTO];\n  if (typeof O.constructor == 'function' && O instanceof O.constructor) {\n    return O.constructor.prototype;\n  } return O instanceof Object ? ObjectProto : null;\n};\n","var document = require('./_global').document;\nmodule.exports = document && document.documentElement;\n","module.exports = require('./_hide');\n","var BN = require('bn.js')\nvar Buffer = require('safe-buffer').Buffer\n\nfunction withPublic (paddedMsg, key) {\n  return Buffer.from(paddedMsg\n    .toRed(BN.mont(key.modulus))\n    .redPow(new BN(key.publicExponent))\n    .fromRed()\n    .toArray())\n}\n\nmodule.exports = withPublic\n","module.exports = function xor (a, b) {\n  var len = a.length\n  var i = -1\n  while (++i < len) {\n    a[i] ^= b[i]\n  }\n  return a\n}\n","var createHash = require('create-hash')\nvar Buffer = require('safe-buffer').Buffer\n\nmodule.exports = function (seed, len) {\n  var t = Buffer.alloc(0)\n  var i = 0\n  var c\n  while (t.length < len) {\n    c = i2ops(i++)\n    t = Buffer.concat([t, createHash('sha1').update(seed).update(c).digest()])\n  }\n  return t.slice(0, len)\n}\n\nfunction i2ops (c) {\n  var out = Buffer.allocUnsafe(4)\n  out.writeUInt32BE(c, 0)\n  return out\n}\n","var inherits = require('inherits');\nvar Buffer = require('buffer').Buffer;\n\nvar asn1 = require('../../asn1');\nvar base = asn1.base;\n\n// Import DER constants\nvar der = asn1.constants.der;\n\nfunction DEREncoder(entity) {\n  this.enc = 'der';\n  this.name = entity.name;\n  this.entity = entity;\n\n  // Construct base tree\n  this.tree = new DERNode();\n  this.tree._init(entity.body);\n};\nmodule.exports = DEREncoder;\n\nDEREncoder.prototype.encode = function encode(data, reporter) {\n  return this.tree._encode(data, reporter).join();\n};\n\n// Tree methods\n\nfunction DERNode(parent) {\n  base.Node.call(this, 'der', parent);\n}\ninherits(DERNode, base.Node);\n\nDERNode.prototype._encodeComposite = function encodeComposite(tag,\n                                                              primitive,\n                                                              cls,\n                                                              content) {\n  var encodedTag = encodeTag(tag, primitive, cls, this.reporter);\n\n  // Short form\n  if (content.length < 0x80) {\n    var header = new Buffer(2);\n    header[0] = encodedTag;\n    header[1] = content.length;\n    return this._createEncoderBuffer([ header, content ]);\n  }\n\n  // Long form\n  // Count octets required to store length\n  var lenOctets = 1;\n  for (var i = content.length; i >= 0x100; i >>= 8)\n    lenOctets++;\n\n  var header = new Buffer(1 + 1 + lenOctets);\n  header[0] = encodedTag;\n  header[1] = 0x80 | lenOctets;\n\n  for (var i = 1 + lenOctets, j = content.length; j > 0; i--, j >>= 8)\n    header[i] = j & 0xff;\n\n  return this._createEncoderBuffer([ header, content ]);\n};\n\nDERNode.prototype._encodeStr = function encodeStr(str, tag) {\n  if (tag === 'bitstr') {\n    return this._createEncoderBuffer([ str.unused | 0, str.data ]);\n  } else if (tag === 'bmpstr') {\n    var buf = new Buffer(str.length * 2);\n    for (var i = 0; i < str.length; i++) {\n      buf.writeUInt16BE(str.charCodeAt(i), i * 2);\n    }\n    return this._createEncoderBuffer(buf);\n  } else if (tag === 'numstr') {\n    if (!this._isNumstr(str)) {\n      return this.reporter.error('Encoding of string type: numstr supports ' +\n                                 'only digits and space');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'printstr') {\n    if (!this._isPrintstr(str)) {\n      return this.reporter.error('Encoding of string type: printstr supports ' +\n                                 'only latin upper and lower case letters, ' +\n                                 'digits, space, apostrophe, left and rigth ' +\n                                 'parenthesis, plus sign, comma, hyphen, ' +\n                                 'dot, slash, colon, equal sign, ' +\n                                 'question mark');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (/str$/.test(tag)) {\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'objDesc') {\n    return this._createEncoderBuffer(str);\n  } else {\n    return this.reporter.error('Encoding of string type: ' + tag +\n                               ' unsupported');\n  }\n};\n\nDERNode.prototype._encodeObjid = function encodeObjid(id, values, relative) {\n  if (typeof id === 'string') {\n    if (!values)\n      return this.reporter.error('string objid given, but no values map found');\n    if (!values.hasOwnProperty(id))\n      return this.reporter.error('objid not found in values map');\n    id = values[id].split(/[\\s\\.]+/g);\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  } else if (Array.isArray(id)) {\n    id = id.slice();\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  }\n\n  if (!Array.isArray(id)) {\n    return this.reporter.error('objid() should be either array or string, ' +\n                               'got: ' + JSON.stringify(id));\n  }\n\n  if (!relative) {\n    if (id[1] >= 40)\n      return this.reporter.error('Second objid identifier OOB');\n    id.splice(0, 2, id[0] * 40 + id[1]);\n  }\n\n  // Count number of octets\n  var size = 0;\n  for (var i = 0; i < id.length; i++) {\n    var ident = id[i];\n    for (size++; ident >= 0x80; ident >>= 7)\n      size++;\n  }\n\n  var objid = new Buffer(size);\n  var offset = objid.length - 1;\n  for (var i = id.length - 1; i >= 0; i--) {\n    var ident = id[i];\n    objid[offset--] = ident & 0x7f;\n    while ((ident >>= 7) > 0)\n      objid[offset--] = 0x80 | (ident & 0x7f);\n  }\n\n  return this._createEncoderBuffer(objid);\n};\n\nfunction two(num) {\n  if (num < 10)\n    return '0' + num;\n  else\n    return num;\n}\n\nDERNode.prototype._encodeTime = function encodeTime(time, tag) {\n  var str;\n  var date = new Date(time);\n\n  if (tag === 'gentime') {\n    str = [\n      two(date.getFullYear()),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else if (tag === 'utctime') {\n    str = [\n      two(date.getFullYear() % 100),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else {\n    this.reporter.error('Encoding ' + tag + ' time is not supported yet');\n  }\n\n  return this._encodeStr(str, 'octstr');\n};\n\nDERNode.prototype._encodeNull = function encodeNull() {\n  return this._createEncoderBuffer('');\n};\n\nDERNode.prototype._encodeInt = function encodeInt(num, values) {\n  if (typeof num === 'string') {\n    if (!values)\n      return this.reporter.error('String int or enum given, but no values map');\n    if (!values.hasOwnProperty(num)) {\n      return this.reporter.error('Values map doesn\\'t contain: ' +\n                                 JSON.stringify(num));\n    }\n    num = values[num];\n  }\n\n  // Bignum, assume big endian\n  if (typeof num !== 'number' && !Buffer.isBuffer(num)) {\n    var numArray = num.toArray();\n    if (!num.sign && numArray[0] & 0x80) {\n      numArray.unshift(0);\n    }\n    num = new Buffer(numArray);\n  }\n\n  if (Buffer.isBuffer(num)) {\n    var size = num.length;\n    if (num.length === 0)\n      size++;\n\n    var out = new Buffer(size);\n    num.copy(out);\n    if (num.length === 0)\n      out[0] = 0\n    return this._createEncoderBuffer(out);\n  }\n\n  if (num < 0x80)\n    return this._createEncoderBuffer(num);\n\n  if (num < 0x100)\n    return this._createEncoderBuffer([0, num]);\n\n  var size = 1;\n  for (var i = num; i >= 0x100; i >>= 8)\n    size++;\n\n  var out = new Array(size);\n  for (var i = out.length - 1; i >= 0; i--) {\n    out[i] = num & 0xff;\n    num >>= 8;\n  }\n  if(out[0] & 0x80) {\n    out.unshift(0);\n  }\n\n  return this._createEncoderBuffer(new Buffer(out));\n};\n\nDERNode.prototype._encodeBool = function encodeBool(value) {\n  return this._createEncoderBuffer(value ? 0xff : 0);\n};\n\nDERNode.prototype._use = function use(entity, obj) {\n  if (typeof entity === 'function')\n    entity = entity(obj);\n  return entity._getEncoder('der').tree;\n};\n\nDERNode.prototype._skipDefault = function skipDefault(dataBuffer, reporter, parent) {\n  var state = this._baseState;\n  var i;\n  if (state['default'] === null)\n    return false;\n\n  var data = dataBuffer.join();\n  if (state.defaultBuffer === undefined)\n    state.defaultBuffer = this._encodeValue(state['default'], reporter, parent).join();\n\n  if (data.length !== state.defaultBuffer.length)\n    return false;\n\n  for (i=0; i < data.length; i++)\n    if (data[i] !== state.defaultBuffer[i])\n      return false;\n\n  return true;\n};\n\n// Utility methods\n\nfunction encodeTag(tag, primitive, cls, reporter) {\n  var res;\n\n  if (tag === 'seqof')\n    tag = 'seq';\n  else if (tag === 'setof')\n    tag = 'set';\n\n  if (der.tagByName.hasOwnProperty(tag))\n    res = der.tagByName[tag];\n  else if (typeof tag === 'number' && (tag | 0) === tag)\n    res = tag;\n  else\n    return reporter.error('Unknown tag: ' + tag);\n\n  if (res >= 0x1f)\n    return reporter.error('Multi-octet tag encoding unsupported');\n\n  if (!primitive)\n    res |= 0x20;\n\n  res |= (der.tagClassByName[cls || 'universal'] << 6);\n\n  return res;\n}\n","var inherits = require('inherits');\n\nvar asn1 = require('../../asn1');\nvar base = asn1.base;\nvar bignum = asn1.bignum;\n\n// Import DER constants\nvar der = asn1.constants.der;\n\nfunction DERDecoder(entity) {\n  this.enc = 'der';\n  this.name = entity.name;\n  this.entity = entity;\n\n  // Construct base tree\n  this.tree = new DERNode();\n  this.tree._init(entity.body);\n};\nmodule.exports = DERDecoder;\n\nDERDecoder.prototype.decode = function decode(data, options) {\n  if (!(data instanceof base.DecoderBuffer))\n    data = new base.DecoderBuffer(data, options);\n\n  return this.tree._decode(data, options);\n};\n\n// Tree methods\n\nfunction DERNode(parent) {\n  base.Node.call(this, 'der', parent);\n}\ninherits(DERNode, base.Node);\n\nDERNode.prototype._peekTag = function peekTag(buffer, tag, any) {\n  if (buffer.isEmpty())\n    return false;\n\n  var state = buffer.save();\n  var decodedTag = derDecodeTag(buffer, 'Failed to peek tag: \"' + tag + '\"');\n  if (buffer.isError(decodedTag))\n    return decodedTag;\n\n  buffer.restore(state);\n\n  return decodedTag.tag === tag || decodedTag.tagStr === tag ||\n    (decodedTag.tagStr + 'of') === tag || any;\n};\n\nDERNode.prototype._decodeTag = function decodeTag(buffer, tag, any) {\n  var decodedTag = derDecodeTag(buffer,\n                                'Failed to decode tag of \"' + tag + '\"');\n  if (buffer.isError(decodedTag))\n    return decodedTag;\n\n  var len = derDecodeLen(buffer,\n                         decodedTag.primitive,\n                         'Failed to get length of \"' + tag + '\"');\n\n  // Failure\n  if (buffer.isError(len))\n    return len;\n\n  if (!any &&\n      decodedTag.tag !== tag &&\n      decodedTag.tagStr !== tag &&\n      decodedTag.tagStr + 'of' !== tag) {\n    return buffer.error('Failed to match tag: \"' + tag + '\"');\n  }\n\n  if (decodedTag.primitive || len !== null)\n    return buffer.skip(len, 'Failed to match body of: \"' + tag + '\"');\n\n  // Indefinite length... find END tag\n  var state = buffer.save();\n  var res = this._skipUntilEnd(\n      buffer,\n      'Failed to skip indefinite length body: \"' + this.tag + '\"');\n  if (buffer.isError(res))\n    return res;\n\n  len = buffer.offset - state.offset;\n  buffer.restore(state);\n  return buffer.skip(len, 'Failed to match body of: \"' + tag + '\"');\n};\n\nDERNode.prototype._skipUntilEnd = function skipUntilEnd(buffer, fail) {\n  while (true) {\n    var tag = derDecodeTag(buffer, fail);\n    if (buffer.isError(tag))\n      return tag;\n    var len = derDecodeLen(buffer, tag.primitive, fail);\n    if (buffer.isError(len))\n      return len;\n\n    var res;\n    if (tag.primitive || len !== null)\n      res = buffer.skip(len)\n    else\n      res = this._skipUntilEnd(buffer, fail);\n\n    // Failure\n    if (buffer.isError(res))\n      return res;\n\n    if (tag.tagStr === 'end')\n      break;\n  }\n};\n\nDERNode.prototype._decodeList = function decodeList(buffer, tag, decoder,\n                                                    options) {\n  var result = [];\n  while (!buffer.isEmpty()) {\n    var possibleEnd = this._peekTag(buffer, 'end');\n    if (buffer.isError(possibleEnd))\n      return possibleEnd;\n\n    var res = decoder.decode(buffer, 'der', options);\n    if (buffer.isError(res) && possibleEnd)\n      break;\n    result.push(res);\n  }\n  return result;\n};\n\nDERNode.prototype._decodeStr = function decodeStr(buffer, tag) {\n  if (tag === 'bitstr') {\n    var unused = buffer.readUInt8();\n    if (buffer.isError(unused))\n      return unused;\n    return { unused: unused, data: buffer.raw() };\n  } else if (tag === 'bmpstr') {\n    var raw = buffer.raw();\n    if (raw.length % 2 === 1)\n      return buffer.error('Decoding of string type: bmpstr length mismatch');\n\n    var str = '';\n    for (var i = 0; i < raw.length / 2; i++) {\n      str += String.fromCharCode(raw.readUInt16BE(i * 2));\n    }\n    return str;\n  } else if (tag === 'numstr') {\n    var numstr = buffer.raw().toString('ascii');\n    if (!this._isNumstr(numstr)) {\n      return buffer.error('Decoding of string type: ' +\n                          'numstr unsupported characters');\n    }\n    return numstr;\n  } else if (tag === 'octstr') {\n    return buffer.raw();\n  } else if (tag === 'objDesc') {\n    return buffer.raw();\n  } else if (tag === 'printstr') {\n    var printstr = buffer.raw().toString('ascii');\n    if (!this._isPrintstr(printstr)) {\n      return buffer.error('Decoding of string type: ' +\n                          'printstr unsupported characters');\n    }\n    return printstr;\n  } else if (/str$/.test(tag)) {\n    return buffer.raw().toString();\n  } else {\n    return buffer.error('Decoding of string type: ' + tag + ' unsupported');\n  }\n};\n\nDERNode.prototype._decodeObjid = function decodeObjid(buffer, values, relative) {\n  var result;\n  var identifiers = [];\n  var ident = 0;\n  while (!buffer.isEmpty()) {\n    var subident = buffer.readUInt8();\n    ident <<= 7;\n    ident |= subident & 0x7f;\n    if ((subident & 0x80) === 0) {\n      identifiers.push(ident);\n      ident = 0;\n    }\n  }\n  if (subident & 0x80)\n    identifiers.push(ident);\n\n  var first = (identifiers[0] / 40) | 0;\n  var second = identifiers[0] % 40;\n\n  if (relative)\n    result = identifiers;\n  else\n    result = [first, second].concat(identifiers.slice(1));\n\n  if (values) {\n    var tmp = values[result.join(' ')];\n    if (tmp === undefined)\n      tmp = values[result.join('.')];\n    if (tmp !== undefined)\n      result = tmp;\n  }\n\n  return result;\n};\n\nDERNode.prototype._decodeTime = function decodeTime(buffer, tag) {\n  var str = buffer.raw().toString();\n  if (tag === 'gentime') {\n    var year = str.slice(0, 4) | 0;\n    var mon = str.slice(4, 6) | 0;\n    var day = str.slice(6, 8) | 0;\n    var hour = str.slice(8, 10) | 0;\n    var min = str.slice(10, 12) | 0;\n    var sec = str.slice(12, 14) | 0;\n  } else if (tag === 'utctime') {\n    var year = str.slice(0, 2) | 0;\n    var mon = str.slice(2, 4) | 0;\n    var day = str.slice(4, 6) | 0;\n    var hour = str.slice(6, 8) | 0;\n    var min = str.slice(8, 10) | 0;\n    var sec = str.slice(10, 12) | 0;\n    if (year < 70)\n      year = 2000 + year;\n    else\n      year = 1900 + year;\n  } else {\n    return buffer.error('Decoding ' + tag + ' time is not supported yet');\n  }\n\n  return Date.UTC(year, mon - 1, day, hour, min, sec, 0);\n};\n\nDERNode.prototype._decodeNull = function decodeNull(buffer) {\n  return null;\n};\n\nDERNode.prototype._decodeBool = function decodeBool(buffer) {\n  var res = buffer.readUInt8();\n  if (buffer.isError(res))\n    return res;\n  else\n    return res !== 0;\n};\n\nDERNode.prototype._decodeInt = function decodeInt(buffer, values) {\n  // Bigint, return as it is (assume big endian)\n  var raw = buffer.raw();\n  var res = new bignum(raw);\n\n  if (values)\n    res = values[res.toString(10)] || res;\n\n  return res;\n};\n\nDERNode.prototype._use = function use(entity, obj) {\n  if (typeof entity === 'function')\n    entity = entity(obj);\n  return entity._getDecoder('der').tree;\n};\n\n// Utility methods\n\nfunction derDecodeTag(buf, fail) {\n  var tag = buf.readUInt8(fail);\n  if (buf.isError(tag))\n    return tag;\n\n  var cls = der.tagClass[tag >> 6];\n  var primitive = (tag & 0x20) === 0;\n\n  // Multi-octet tag - load\n  if ((tag & 0x1f) === 0x1f) {\n    var oct = tag;\n    tag = 0;\n    while ((oct & 0x80) === 0x80) {\n      oct = buf.readUInt8(fail);\n      if (buf.isError(oct))\n        return oct;\n\n      tag <<= 7;\n      tag |= oct & 0x7f;\n    }\n  } else {\n    tag &= 0x1f;\n  }\n  var tagStr = der.tag[tag];\n\n  return {\n    cls: cls,\n    primitive: primitive,\n    tag: tag,\n    tagStr: tagStr\n  };\n}\n\nfunction derDecodeLen(buf, primitive, fail) {\n  var len = buf.readUInt8(fail);\n  if (buf.isError(len))\n    return len;\n\n  // Indefinite form\n  if (!primitive && len === 0x80)\n    return null;\n\n  // Definite form\n  if ((len & 0x80) === 0) {\n    // Short form\n    return len;\n  }\n\n  // Long form\n  var num = len & 0x7f;\n  if (num > 4)\n    return buf.error('length octect is too long');\n\n  len = 0;\n  for (var i = 0; i < num; i++) {\n    len <<= 8;\n    var j = buf.readUInt8(fail);\n    if (buf.isError(j))\n      return j;\n    len |= j;\n  }\n\n  return len;\n}\n","var constants = exports;\n\n// Helper\nconstants._reverse = function reverse(map) {\n  var res = {};\n\n  Object.keys(map).forEach(function(key) {\n    // Convert key to integer if it is stringified\n    if ((key | 0) == key)\n      key = key | 0;\n\n    var value = map[key];\n    res[value] = key;\n  });\n\n  return res;\n};\n\nconstants.der = require('./der');\n","var inherits = require('inherits');\nvar Reporter = require('../base').Reporter;\nvar Buffer = require('buffer').Buffer;\n\nfunction DecoderBuffer(base, options) {\n  Reporter.call(this, options);\n  if (!Buffer.isBuffer(base)) {\n    this.error('Input not Buffer');\n    return;\n  }\n\n  this.base = base;\n  this.offset = 0;\n  this.length = base.length;\n}\ninherits(DecoderBuffer, Reporter);\nexports.DecoderBuffer = DecoderBuffer;\n\nDecoderBuffer.prototype.save = function save() {\n  return { offset: this.offset, reporter: Reporter.prototype.save.call(this) };\n};\n\nDecoderBuffer.prototype.restore = function restore(save) {\n  // Return skipped data\n  var res = new DecoderBuffer(this.base);\n  res.offset = save.offset;\n  res.length = this.offset;\n\n  this.offset = save.offset;\n  Reporter.prototype.restore.call(this, save.reporter);\n\n  return res;\n};\n\nDecoderBuffer.prototype.isEmpty = function isEmpty() {\n  return this.offset === this.length;\n};\n\nDecoderBuffer.prototype.readUInt8 = function readUInt8(fail) {\n  if (this.offset + 1 <= this.length)\n    return this.base.readUInt8(this.offset++, true);\n  else\n    return this.error(fail || 'DecoderBuffer overrun');\n}\n\nDecoderBuffer.prototype.skip = function skip(bytes, fail) {\n  if (!(this.offset + bytes <= this.length))\n    return this.error(fail || 'DecoderBuffer overrun');\n\n  var res = new DecoderBuffer(this.base);\n\n  // Share reporter state\n  res._reporterState = this._reporterState;\n\n  res.offset = this.offset;\n  res.length = this.offset + bytes;\n  this.offset += bytes;\n  return res;\n}\n\nDecoderBuffer.prototype.raw = function raw(save) {\n  return this.base.slice(save ? save.offset : this.offset, this.length);\n}\n\nfunction EncoderBuffer(value, reporter) {\n  if (Array.isArray(value)) {\n    this.length = 0;\n    this.value = value.map(function(item) {\n      if (!(item instanceof EncoderBuffer))\n        item = new EncoderBuffer(item, reporter);\n      this.length += item.length;\n      return item;\n    }, this);\n  } else if (typeof value === 'number') {\n    if (!(0 <= value && value <= 0xff))\n      return reporter.error('non-byte EncoderBuffer value');\n    this.value = value;\n    this.length = 1;\n  } else if (typeof value === 'string') {\n    this.value = value;\n    this.length = Buffer.byteLength(value);\n  } else if (Buffer.isBuffer(value)) {\n    this.value = value;\n    this.length = value.length;\n  } else {\n    return reporter.error('Unsupported type: ' + typeof value);\n  }\n}\nexports.EncoderBuffer = EncoderBuffer;\n\nEncoderBuffer.prototype.join = function join(out, offset) {\n  if (!out)\n    out = new Buffer(this.length);\n  if (!offset)\n    offset = 0;\n\n  if (this.length === 0)\n    return out;\n\n  if (Array.isArray(this.value)) {\n    this.value.forEach(function(item) {\n      item.join(out, offset);\n      offset += item.length;\n    });\n  } else {\n    if (typeof this.value === 'number')\n      out[offset] = this.value;\n    else if (typeof this.value === 'string')\n      out.write(this.value, offset);\n    else if (Buffer.isBuffer(this.value))\n      this.value.copy(out, offset);\n    offset += this.length;\n  }\n\n  return out;\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar assert = require('minimalistic-assert');\n\nvar rotr64_hi = utils.rotr64_hi;\nvar rotr64_lo = utils.rotr64_lo;\nvar shr64_hi = utils.shr64_hi;\nvar shr64_lo = utils.shr64_lo;\nvar sum64 = utils.sum64;\nvar sum64_hi = utils.sum64_hi;\nvar sum64_lo = utils.sum64_lo;\nvar sum64_4_hi = utils.sum64_4_hi;\nvar sum64_4_lo = utils.sum64_4_lo;\nvar sum64_5_hi = utils.sum64_5_hi;\nvar sum64_5_lo = utils.sum64_5_lo;\n\nvar BlockHash = common.BlockHash;\n\nvar sha512_K = [\n  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,\n  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,\n  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,\n  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,\n  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,\n  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,\n  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,\n  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,\n  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n];\n\nfunction SHA512() {\n  if (!(this instanceof SHA512))\n    return new SHA512();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xf3bcc908,\n    0xbb67ae85, 0x84caa73b,\n    0x3c6ef372, 0xfe94f82b,\n    0xa54ff53a, 0x5f1d36f1,\n    0x510e527f, 0xade682d1,\n    0x9b05688c, 0x2b3e6c1f,\n    0x1f83d9ab, 0xfb41bd6b,\n    0x5be0cd19, 0x137e2179 ];\n  this.k = sha512_K;\n  this.W = new Array(160);\n}\nutils.inherits(SHA512, BlockHash);\nmodule.exports = SHA512;\n\nSHA512.blockSize = 1024;\nSHA512.outSize = 512;\nSHA512.hmacStrength = 192;\nSHA512.padLength = 128;\n\nSHA512.prototype._prepareBlock = function _prepareBlock(msg, start) {\n  var W = this.W;\n\n  // 32 x 32bit words\n  for (var i = 0; i < 32; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i += 2) {\n    var c0_hi = g1_512_hi(W[i - 4], W[i - 3]);  // i - 2\n    var c0_lo = g1_512_lo(W[i - 4], W[i - 3]);\n    var c1_hi = W[i - 14];  // i - 7\n    var c1_lo = W[i - 13];\n    var c2_hi = g0_512_hi(W[i - 30], W[i - 29]);  // i - 15\n    var c2_lo = g0_512_lo(W[i - 30], W[i - 29]);\n    var c3_hi = W[i - 32];  // i - 16\n    var c3_lo = W[i - 31];\n\n    W[i] = sum64_4_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n    W[i + 1] = sum64_4_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n  }\n};\n\nSHA512.prototype._update = function _update(msg, start) {\n  this._prepareBlock(msg, start);\n\n  var W = this.W;\n\n  var ah = this.h[0];\n  var al = this.h[1];\n  var bh = this.h[2];\n  var bl = this.h[3];\n  var ch = this.h[4];\n  var cl = this.h[5];\n  var dh = this.h[6];\n  var dl = this.h[7];\n  var eh = this.h[8];\n  var el = this.h[9];\n  var fh = this.h[10];\n  var fl = this.h[11];\n  var gh = this.h[12];\n  var gl = this.h[13];\n  var hh = this.h[14];\n  var hl = this.h[15];\n\n  assert(this.k.length === W.length);\n  for (var i = 0; i < W.length; i += 2) {\n    var c0_hi = hh;\n    var c0_lo = hl;\n    var c1_hi = s1_512_hi(eh, el);\n    var c1_lo = s1_512_lo(eh, el);\n    var c2_hi = ch64_hi(eh, el, fh, fl, gh, gl);\n    var c2_lo = ch64_lo(eh, el, fh, fl, gh, gl);\n    var c3_hi = this.k[i];\n    var c3_lo = this.k[i + 1];\n    var c4_hi = W[i];\n    var c4_lo = W[i + 1];\n\n    var T1_hi = sum64_5_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n    var T1_lo = sum64_5_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n\n    c0_hi = s0_512_hi(ah, al);\n    c0_lo = s0_512_lo(ah, al);\n    c1_hi = maj64_hi(ah, al, bh, bl, ch, cl);\n    c1_lo = maj64_lo(ah, al, bh, bl, ch, cl);\n\n    var T2_hi = sum64_hi(c0_hi, c0_lo, c1_hi, c1_lo);\n    var T2_lo = sum64_lo(c0_hi, c0_lo, c1_hi, c1_lo);\n\n    hh = gh;\n    hl = gl;\n\n    gh = fh;\n    gl = fl;\n\n    fh = eh;\n    fl = el;\n\n    eh = sum64_hi(dh, dl, T1_hi, T1_lo);\n    el = sum64_lo(dl, dl, T1_hi, T1_lo);\n\n    dh = ch;\n    dl = cl;\n\n    ch = bh;\n    cl = bl;\n\n    bh = ah;\n    bl = al;\n\n    ah = sum64_hi(T1_hi, T1_lo, T2_hi, T2_lo);\n    al = sum64_lo(T1_hi, T1_lo, T2_hi, T2_lo);\n  }\n\n  sum64(this.h, 0, ah, al);\n  sum64(this.h, 2, bh, bl);\n  sum64(this.h, 4, ch, cl);\n  sum64(this.h, 6, dh, dl);\n  sum64(this.h, 8, eh, el);\n  sum64(this.h, 10, fh, fl);\n  sum64(this.h, 12, gh, gl);\n  sum64(this.h, 14, hh, hl);\n};\n\nSHA512.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n\nfunction ch64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ ((~xh) & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction ch64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ ((~xl) & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ (xh & zh) ^ (yh & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ (xl & zl) ^ (yl & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 28);\n  var c1_hi = rotr64_hi(xl, xh, 2);  // 34\n  var c2_hi = rotr64_hi(xl, xh, 7);  // 39\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 28);\n  var c1_lo = rotr64_lo(xl, xh, 2);  // 34\n  var c2_lo = rotr64_lo(xl, xh, 7);  // 39\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 14);\n  var c1_hi = rotr64_hi(xh, xl, 18);\n  var c2_hi = rotr64_hi(xl, xh, 9);  // 41\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 14);\n  var c1_lo = rotr64_lo(xh, xl, 18);\n  var c2_lo = rotr64_lo(xl, xh, 9);  // 41\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 1);\n  var c1_hi = rotr64_hi(xh, xl, 8);\n  var c2_hi = shr64_hi(xh, xl, 7);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 1);\n  var c1_lo = rotr64_lo(xh, xl, 8);\n  var c2_lo = shr64_lo(xh, xl, 7);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 19);\n  var c1_hi = rotr64_hi(xl, xh, 29);  // 61\n  var c2_hi = shr64_hi(xh, xl, 6);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 19);\n  var c1_lo = rotr64_lo(xl, xh, 29);  // 61\n  var c2_lo = shr64_lo(xh, xl, 6);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar shaCommon = require('./common');\nvar assert = require('minimalistic-assert');\n\nvar sum32 = utils.sum32;\nvar sum32_4 = utils.sum32_4;\nvar sum32_5 = utils.sum32_5;\nvar ch32 = shaCommon.ch32;\nvar maj32 = shaCommon.maj32;\nvar s0_256 = shaCommon.s0_256;\nvar s1_256 = shaCommon.s1_256;\nvar g0_256 = shaCommon.g0_256;\nvar g1_256 = shaCommon.g1_256;\n\nvar BlockHash = common.BlockHash;\n\nvar sha256_K = [\n  0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5,\n  0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,\n  0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3,\n  0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174,\n  0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc,\n  0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da,\n  0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7,\n  0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967,\n  0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13,\n  0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85,\n  0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3,\n  0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070,\n  0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5,\n  0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3,\n  0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208,\n  0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2\n];\n\nfunction SHA256() {\n  if (!(this instanceof SHA256))\n    return new SHA256();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a,\n    0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19\n  ];\n  this.k = sha256_K;\n  this.W = new Array(64);\n}\nutils.inherits(SHA256, BlockHash);\nmodule.exports = SHA256;\n\nSHA256.blockSize = 512;\nSHA256.outSize = 256;\nSHA256.hmacStrength = 192;\nSHA256.padLength = 64;\n\nSHA256.prototype._update = function _update(msg, start) {\n  var W = this.W;\n\n  for (var i = 0; i < 16; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i++)\n    W[i] = sum32_4(g1_256(W[i - 2]), W[i - 7], g0_256(W[i - 15]), W[i - 16]);\n\n  var a = this.h[0];\n  var b = this.h[1];\n  var c = this.h[2];\n  var d = this.h[3];\n  var e = this.h[4];\n  var f = this.h[5];\n  var g = this.h[6];\n  var h = this.h[7];\n\n  assert(this.k.length === W.length);\n  for (i = 0; i < W.length; i++) {\n    var T1 = sum32_5(h, s1_256(e), ch32(e, f, g), this.k[i], W[i]);\n    var T2 = sum32(s0_256(a), maj32(a, b, c));\n    h = g;\n    g = f;\n    f = e;\n    e = sum32(d, T1);\n    d = c;\n    c = b;\n    b = a;\n    a = sum32(T1, T2);\n  }\n\n  this.h[0] = sum32(this.h[0], a);\n  this.h[1] = sum32(this.h[1], b);\n  this.h[2] = sum32(this.h[2], c);\n  this.h[3] = sum32(this.h[3], d);\n  this.h[4] = sum32(this.h[4], e);\n  this.h[5] = sum32(this.h[5], f);\n  this.h[6] = sum32(this.h[6], g);\n  this.h[7] = sum32(this.h[7], h);\n};\n\nSHA256.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar rotr32 = utils.rotr32;\n\nfunction ft_1(s, x, y, z) {\n  if (s === 0)\n    return ch32(x, y, z);\n  if (s === 1 || s === 3)\n    return p32(x, y, z);\n  if (s === 2)\n    return maj32(x, y, z);\n}\nexports.ft_1 = ft_1;\n\nfunction ch32(x, y, z) {\n  return (x & y) ^ ((~x) & z);\n}\nexports.ch32 = ch32;\n\nfunction maj32(x, y, z) {\n  return (x & y) ^ (x & z) ^ (y & z);\n}\nexports.maj32 = maj32;\n\nfunction p32(x, y, z) {\n  return x ^ y ^ z;\n}\nexports.p32 = p32;\n\nfunction s0_256(x) {\n  return rotr32(x, 2) ^ rotr32(x, 13) ^ rotr32(x, 22);\n}\nexports.s0_256 = s0_256;\n\nfunction s1_256(x) {\n  return rotr32(x, 6) ^ rotr32(x, 11) ^ rotr32(x, 25);\n}\nexports.s1_256 = s1_256;\n\nfunction g0_256(x) {\n  return rotr32(x, 7) ^ rotr32(x, 18) ^ (x >>> 3);\n}\nexports.g0_256 = g0_256;\n\nfunction g1_256(x) {\n  return rotr32(x, 17) ^ rotr32(x, 19) ^ (x >>> 10);\n}\nexports.g1_256 = g1_256;\n","'use strict';\n\nvar utils = exports;\n\nfunction toArray(msg, enc) {\n  if (Array.isArray(msg))\n    return msg.slice();\n  if (!msg)\n    return [];\n  var res = [];\n  if (typeof msg !== 'string') {\n    for (var i = 0; i < msg.length; i++)\n      res[i] = msg[i] | 0;\n    return res;\n  }\n  if (enc === 'hex') {\n    msg = msg.replace(/[^a-z0-9]+/ig, '');\n    if (msg.length % 2 !== 0)\n      msg = '0' + msg;\n    for (var i = 0; i < msg.length; i += 2)\n      res.push(parseInt(msg[i] + msg[i + 1], 16));\n  } else {\n    for (var i = 0; i < msg.length; i++) {\n      var c = msg.charCodeAt(i);\n      var hi = c >> 8;\n      var lo = c & 0xff;\n      if (hi)\n        res.push(hi, lo);\n      else\n        res.push(lo);\n    }\n  }\n  return res;\n}\nutils.toArray = toArray;\n\nfunction zero2(word) {\n  if (word.length === 1)\n    return '0' + word;\n  else\n    return word;\n}\nutils.zero2 = zero2;\n\nfunction toHex(msg) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++)\n    res += zero2(msg[i].toString(16));\n  return res;\n}\nutils.toHex = toHex;\n\nutils.encode = function encode(arr, enc) {\n  if (enc === 'hex')\n    return toHex(arr);\n  else\n    return arr;\n};\n","var r;\n\nmodule.exports = function rand(len) {\n  if (!r)\n    r = new Rand(null);\n\n  return r.generate(len);\n};\n\nfunction Rand(rand) {\n  this.rand = rand;\n}\nmodule.exports.Rand = Rand;\n\nRand.prototype.generate = function generate(len) {\n  return this._rand(len);\n};\n\n// Emulate crypto API using randy\nRand.prototype._rand = function _rand(n) {\n  if (this.rand.getBytes)\n    return this.rand.getBytes(n);\n\n  var res = new Uint8Array(n);\n  for (var i = 0; i < res.length; i++)\n    res[i] = this.rand.getByte();\n  return res;\n};\n\nif (typeof self === 'object') {\n  if (self.crypto && self.crypto.getRandomValues) {\n    // Modern browsers\n    Rand.prototype._rand = function _rand(n) {\n      var arr = new Uint8Array(n);\n      self.crypto.getRandomValues(arr);\n      return arr;\n    };\n  } else if (self.msCrypto && self.msCrypto.getRandomValues) {\n    // IE\n    Rand.prototype._rand = function _rand(n) {\n      var arr = new Uint8Array(n);\n      self.msCrypto.getRandomValues(arr);\n      return arr;\n    };\n\n  // Safari's WebWorkers do not have `crypto`\n  } else if (typeof window === 'object') {\n    // Old junk\n    Rand.prototype._rand = function() {\n      throw new Error('Not implemented yet');\n    };\n  }\n} else {\n  // Node.js or Web worker with no crypto support\n  try {\n    var crypto = require('crypto');\n    if (typeof crypto.randomBytes !== 'function')\n      throw new Error('Not supported');\n\n    Rand.prototype._rand = function _rand(n) {\n      return crypto.randomBytes(n);\n    };\n  } catch (e) {\n  }\n}\n","var bn = require('bn.js');\nvar brorand = require('brorand');\n\nfunction MillerRabin(rand) {\n  this.rand = rand || new brorand.Rand();\n}\nmodule.exports = MillerRabin;\n\nMillerRabin.create = function create(rand) {\n  return new MillerRabin(rand);\n};\n\nMillerRabin.prototype._randbelow = function _randbelow(n) {\n  var len = n.bitLength();\n  var min_bytes = Math.ceil(len / 8);\n\n  // Generage random bytes until a number less than n is found.\n  // This ensures that 0..n-1 have an equal probability of being selected.\n  do\n    var a = new bn(this.rand.generate(min_bytes));\n  while (a.cmp(n) >= 0);\n\n  return a;\n};\n\nMillerRabin.prototype._randrange = function _randrange(start, stop) {\n  // Generate a random number greater than or equal to start and less than stop.\n  var size = stop.sub(start);\n  return start.add(this._randbelow(size));\n};\n\nMillerRabin.prototype.test = function test(n, k, cb) {\n  var len = n.bitLength();\n  var red = bn.mont(n);\n  var rone = new bn(1).toRed(red);\n\n  if (!k)\n    k = Math.max(1, (len / 48) | 0);\n\n  // Find d and s, (n - 1) = (2 ^ s) * d;\n  var n1 = n.subn(1);\n  for (var s = 0; !n1.testn(s); s++) {}\n  var d = n.shrn(s);\n\n  var rn1 = n1.toRed(red);\n\n  var prime = true;\n  for (; k > 0; k--) {\n    var a = this._randrange(new bn(2), n1);\n    if (cb)\n      cb(a);\n\n    var x = a.toRed(red).redPow(d);\n    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)\n      continue;\n\n    for (var i = 1; i < s; i++) {\n      x = x.redSqr();\n\n      if (x.cmp(rone) === 0)\n        return false;\n      if (x.cmp(rn1) === 0)\n        break;\n    }\n\n    if (i === s)\n      return false;\n  }\n\n  return prime;\n};\n\nMillerRabin.prototype.getDivisor = function getDivisor(n, k) {\n  var len = n.bitLength();\n  var red = bn.mont(n);\n  var rone = new bn(1).toRed(red);\n\n  if (!k)\n    k = Math.max(1, (len / 48) | 0);\n\n  // Find d and s, (n - 1) = (2 ^ s) * d;\n  var n1 = n.subn(1);\n  for (var s = 0; !n1.testn(s); s++) {}\n  var d = n.shrn(s);\n\n  var rn1 = n1.toRed(red);\n\n  for (; k > 0; k--) {\n    var a = this._randrange(new bn(2), n1);\n\n    var g = n.gcd(a);\n    if (g.cmpn(1) !== 0)\n      return g;\n\n    var x = a.toRed(red).redPow(d);\n    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)\n      continue;\n\n    for (var i = 1; i < s; i++) {\n      x = x.redSqr();\n\n      if (x.cmp(rone) === 0)\n        return x.fromRed().subn(1).gcd(n);\n      if (x.cmp(rn1) === 0)\n        break;\n    }\n\n    if (i === s) {\n      x = x.redSqr();\n      return x.fromRed().subn(1).gcd(n);\n    }\n  }\n\n  return false;\n};\n","var randomBytes = require('randombytes');\nmodule.exports = findPrime;\nfindPrime.simpleSieve = simpleSieve;\nfindPrime.fermatTest = fermatTest;\nvar BN = require('bn.js');\nvar TWENTYFOUR = new BN(24);\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar ONE = new BN(1);\nvar TWO = new BN(2);\nvar FIVE = new BN(5);\nvar SIXTEEN = new BN(16);\nvar EIGHT = new BN(8);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar ELEVEN = new BN(11);\nvar FOUR = new BN(4);\nvar TWELVE = new BN(12);\nvar primes = null;\n\nfunction _getPrimes() {\n  if (primes !== null)\n    return primes;\n\n  var limit = 0x100000;\n  var res = [];\n  res[0] = 2;\n  for (var i = 1, k = 3; k < limit; k += 2) {\n    var sqrt = Math.ceil(Math.sqrt(k));\n    for (var j = 0; j < i && res[j] <= sqrt; j++)\n      if (k % res[j] === 0)\n        break;\n\n    if (i !== j && res[j] <= sqrt)\n      continue;\n\n    res[i++] = k;\n  }\n  primes = res;\n  return res;\n}\n\nfunction simpleSieve(p) {\n  var primes = _getPrimes();\n\n  for (var i = 0; i < primes.length; i++)\n    if (p.modn(primes[i]) === 0) {\n      if (p.cmpn(primes[i]) === 0) {\n        return true;\n      } else {\n        return false;\n      }\n    }\n\n  return true;\n}\n\nfunction fermatTest(p) {\n  var red = BN.mont(p);\n  return TWO.toRed(red).redPow(p.subn(1)).fromRed().cmpn(1) === 0;\n}\n\nfunction findPrime(bits, gen) {\n  if (bits < 16) {\n    // this is what openssl does\n    if (gen === 2 || gen === 5) {\n      return new BN([0x8c, 0x7b]);\n    } else {\n      return new BN([0x8c, 0x27]);\n    }\n  }\n  gen = new BN(gen);\n\n  var num, n2;\n\n  while (true) {\n    num = new BN(randomBytes(Math.ceil(bits / 8)));\n    while (num.bitLength() > bits) {\n      num.ishrn(1);\n    }\n    if (num.isEven()) {\n      num.iadd(ONE);\n    }\n    if (!num.testn(1)) {\n      num.iadd(TWO);\n    }\n    if (!gen.cmp(TWO)) {\n      while (num.mod(TWENTYFOUR).cmp(ELEVEN)) {\n        num.iadd(FOUR);\n      }\n    } else if (!gen.cmp(FIVE)) {\n      while (num.mod(TEN).cmp(THREE)) {\n        num.iadd(FOUR);\n      }\n    }\n    n2 = num.shrn(1);\n    if (simpleSieve(n2) && simpleSieve(num) &&\n      fermatTest(n2) && fermatTest(num) &&\n      millerRabin.test(n2) && millerRabin.test(num)) {\n      return num;\n    }\n  }\n\n}\n","var aes = require('./aes')\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('cipher-base')\nvar inherits = require('inherits')\n\nfunction StreamCipher (mode, key, iv, decrypt) {\n  Transform.call(this)\n\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._cache = Buffer.allocUnsafe(0)\n  this._secCache = Buffer.allocUnsafe(0)\n  this._decrypt = decrypt\n  this._mode = mode\n}\n\ninherits(StreamCipher, Transform)\n\nStreamCipher.prototype._update = function (chunk) {\n  return this._mode.encrypt(this, chunk, this._decrypt)\n}\n\nStreamCipher.prototype._final = function () {\n  this._cipher.scrub()\n}\n\nmodule.exports = StreamCipher\n","var aes = require('./aes')\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('cipher-base')\nvar inherits = require('inherits')\nvar GHASH = require('./ghash')\nvar xor = require('buffer-xor')\nvar incr32 = require('./incr32')\n\nfunction xorTest (a, b) {\n  var out = 0\n  if (a.length !== b.length) out++\n\n  var len = Math.min(a.length, b.length)\n  for (var i = 0; i < len; ++i) {\n    out += (a[i] ^ b[i])\n  }\n\n  return out\n}\n\nfunction calcIv (self, iv, ck) {\n  if (iv.length === 12) {\n    self._finID = Buffer.concat([iv, Buffer.from([0, 0, 0, 1])])\n    return Buffer.concat([iv, Buffer.from([0, 0, 0, 2])])\n  }\n  var ghash = new GHASH(ck)\n  var len = iv.length\n  var toPad = len % 16\n  ghash.update(iv)\n  if (toPad) {\n    toPad = 16 - toPad\n    ghash.update(Buffer.alloc(toPad, 0))\n  }\n  ghash.update(Buffer.alloc(8, 0))\n  var ivBits = len * 8\n  var tail = Buffer.alloc(8)\n  tail.writeUIntBE(ivBits, 0, 8)\n  ghash.update(tail)\n  self._finID = ghash.state\n  var out = Buffer.from(self._finID)\n  incr32(out)\n  return out\n}\nfunction StreamCipher (mode, key, iv, decrypt) {\n  Transform.call(this)\n\n  var h = Buffer.alloc(4, 0)\n\n  this._cipher = new aes.AES(key)\n  var ck = this._cipher.encryptBlock(h)\n  this._ghash = new GHASH(ck)\n  iv = calcIv(this, iv, ck)\n\n  this._prev = Buffer.from(iv)\n  this._cache = Buffer.allocUnsafe(0)\n  this._secCache = Buffer.allocUnsafe(0)\n  this._decrypt = decrypt\n  this._alen = 0\n  this._len = 0\n  this._mode = mode\n\n  this._authTag = null\n  this._called = false\n}\n\ninherits(StreamCipher, Transform)\n\nStreamCipher.prototype._update = function (chunk) {\n  if (!this._called && this._alen) {\n    var rump = 16 - (this._alen % 16)\n    if (rump < 16) {\n      rump = Buffer.alloc(rump, 0)\n      this._ghash.update(rump)\n    }\n  }\n\n  this._called = true\n  var out = this._mode.encrypt(this, chunk)\n  if (this._decrypt) {\n    this._ghash.update(chunk)\n  } else {\n    this._ghash.update(out)\n  }\n  this._len += chunk.length\n  return out\n}\n\nStreamCipher.prototype._final = function () {\n  if (this._decrypt && !this._authTag) throw new Error('Unsupported state or unable to authenticate data')\n\n  var tag = xor(this._ghash.final(this._alen * 8, this._len * 8), this._cipher.encryptBlock(this._finID))\n  if (this._decrypt && xorTest(tag, this._authTag)) throw new Error('Unsupported state or unable to authenticate data')\n\n  this._authTag = tag\n  this._cipher.scrub()\n}\n\nStreamCipher.prototype.getAuthTag = function getAuthTag () {\n  if (this._decrypt || !Buffer.isBuffer(this._authTag)) throw new Error('Attempting to get auth tag in unsupported state')\n\n  return this._authTag\n}\n\nStreamCipher.prototype.setAuthTag = function setAuthTag (tag) {\n  if (!this._decrypt) throw new Error('Attempting to set auth tag in unsupported state')\n\n  this._authTag = tag\n}\n\nStreamCipher.prototype.setAAD = function setAAD (buf) {\n  if (this._called) throw new Error('Attempting to set AAD in unsupported state')\n\n  this._ghash.update(buf)\n  this._alen += buf.length\n}\n\nmodule.exports = StreamCipher\n","function incr32 (iv) {\n  var len = iv.length\n  var item\n  while (len--) {\n    item = iv.readUInt8(len)\n    if (item === 255) {\n      iv.writeUInt8(0, len)\n    } else {\n      item++\n      iv.writeUInt8(item, len)\n      break\n    }\n  }\n}\nmodule.exports = incr32\n","var xor = require('buffer-xor')\nvar Buffer = require('safe-buffer').Buffer\nvar incr32 = require('../incr32')\n\nfunction getBlock (self) {\n  var out = self._cipher.encryptBlockRaw(self._prev)\n  incr32(self._prev)\n  return out\n}\n\nvar blockSize = 16\nexports.encrypt = function (self, chunk) {\n  var chunkNum = Math.ceil(chunk.length / blockSize)\n  var start = self._cache.length\n  self._cache = Buffer.concat([\n    self._cache,\n    Buffer.allocUnsafe(chunkNum * blockSize)\n  ])\n  for (var i = 0; i < chunkNum; i++) {\n    var out = getBlock(self)\n    var offset = start + i * blockSize\n    self._cache.writeUInt32BE(out[0], offset + 0)\n    self._cache.writeUInt32BE(out[1], offset + 4)\n    self._cache.writeUInt32BE(out[2], offset + 8)\n    self._cache.writeUInt32BE(out[3], offset + 12)\n  }\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","var md5 = require('create-hash/md5')\nvar RIPEMD160 = require('ripemd160')\nvar sha = require('sha.js')\n\nvar checkParameters = require('./precondition')\nvar defaultEncoding = require('./default-encoding')\nvar Buffer = require('safe-buffer').Buffer\nvar ZEROS = Buffer.alloc(128)\nvar sizes = {\n  md5: 16,\n  sha1: 20,\n  sha224: 28,\n  sha256: 32,\n  sha384: 48,\n  sha512: 64,\n  rmd160: 20,\n  ripemd160: 20\n}\n\nfunction Hmac (alg, key, saltLen) {\n  var hash = getDigest(alg)\n  var blocksize = (alg === 'sha512' || alg === 'sha384') ? 128 : 64\n\n  if (key.length > blocksize) {\n    key = hash(key)\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = Buffer.allocUnsafe(blocksize + sizes[alg])\n  var opad = Buffer.allocUnsafe(blocksize + sizes[alg])\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n\n  var ipad1 = Buffer.allocUnsafe(blocksize + saltLen + 4)\n  ipad.copy(ipad1, 0, 0, blocksize)\n  this.ipad1 = ipad1\n  this.ipad2 = ipad\n  this.opad = opad\n  this.alg = alg\n  this.blocksize = blocksize\n  this.hash = hash\n  this.size = sizes[alg]\n}\n\nHmac.prototype.run = function (data, ipad) {\n  data.copy(ipad, this.blocksize)\n  var h = this.hash(ipad)\n  h.copy(this.opad, this.blocksize)\n  return this.hash(this.opad)\n}\n\nfunction getDigest (alg) {\n  function shaFunc (data) {\n    return sha(alg).update(data).digest()\n  }\n  function rmd160Func (data) {\n    return new RIPEMD160().update(data).digest()\n  }\n\n  if (alg === 'rmd160' || alg === 'ripemd160') return rmd160Func\n  if (alg === 'md5') return md5\n  return shaFunc\n}\n\nfunction pbkdf2 (password, salt, iterations, keylen, digest) {\n  checkParameters(password, salt, iterations, keylen)\n\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding)\n  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding)\n\n  digest = digest || 'sha1'\n\n  var hmac = new Hmac(digest, password, salt.length)\n\n  var DK = Buffer.allocUnsafe(keylen)\n  var block1 = Buffer.allocUnsafe(salt.length + 4)\n  salt.copy(block1, 0, 0, salt.length)\n\n  var destPos = 0\n  var hLen = sizes[digest]\n  var l = Math.ceil(keylen / hLen)\n\n  for (var i = 1; i <= l; i++) {\n    block1.writeUInt32BE(i, salt.length)\n\n    var T = hmac.run(block1, hmac.ipad1)\n    var U = T\n\n    for (var j = 1; j < iterations; j++) {\n      U = hmac.run(U, hmac.ipad2)\n      for (var k = 0; k < hLen; k++) T[k] ^= U[k]\n    }\n\n    T.copy(DK, destPos)\n    destPos += hLen\n  }\n\n  return DK\n}\n\nmodule.exports = pbkdf2\n","var defaultEncoding\n/* istanbul ignore next */\nif (process.browser) {\n  defaultEncoding = 'utf-8'\n} else {\n  var pVersionMajor = parseInt(process.version.split('.')[0].slice(1), 10)\n\n  defaultEncoding = pVersionMajor >= 6 ? 'utf-8' : 'binary'\n}\nmodule.exports = defaultEncoding\n","var MAX_ALLOC = Math.pow(2, 30) - 1 // default in iojs\n\nfunction checkBuffer (buf, name) {\n  if (typeof buf !== 'string' && !Buffer.isBuffer(buf)) {\n    throw new TypeError(name + ' must be a buffer or string')\n  }\n}\n\nmodule.exports = function (password, salt, iterations, keylen) {\n  checkBuffer(password, 'Password')\n  checkBuffer(salt, 'Salt')\n\n  if (typeof iterations !== 'number') {\n    throw new TypeError('Iterations not a number')\n  }\n\n  if (iterations < 0) {\n    throw new TypeError('Bad iterations')\n  }\n\n  if (typeof keylen !== 'number') {\n    throw new TypeError('Key length not a number')\n  }\n\n  if (keylen < 0 || keylen > MAX_ALLOC || keylen !== keylen) { /* eslint no-self-compare: 0 */\n    throw new TypeError('Bad key length')\n  }\n}\n","exports.pbkdf2 = require('./lib/async')\nexports.pbkdf2Sync = require('./lib/sync')\n","var MD5 = require('md5.js')\n\nmodule.exports = function (buffer) {\n  return new MD5().update(buffer).digest()\n}\n","'use strict'\nvar inherits = require('inherits')\nvar Legacy = require('./legacy')\nvar Base = require('cipher-base')\nvar Buffer = require('safe-buffer').Buffer\nvar md5 = require('create-hash/md5')\nvar RIPEMD160 = require('ripemd160')\n\nvar sha = require('sha.js')\n\nvar ZEROS = Buffer.alloc(128)\n\nfunction Hmac (alg, key) {\n  Base.call(this, 'digest')\n  if (typeof key === 'string') {\n    key = Buffer.from(key)\n  }\n\n  var blocksize = (alg === 'sha512' || alg === 'sha384') ? 128 : 64\n\n  this._alg = alg\n  this._key = key\n  if (key.length > blocksize) {\n    var hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)\n    key = hash.update(key).digest()\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)\n  var opad = this._opad = Buffer.allocUnsafe(blocksize)\n\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n  this._hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)\n  this._hash.update(ipad)\n}\n\ninherits(Hmac, Base)\n\nHmac.prototype._update = function (data) {\n  this._hash.update(data)\n}\n\nHmac.prototype._final = function () {\n  var h = this._hash.digest()\n  var hash = this._alg === 'rmd160' ? new RIPEMD160() : sha(this._alg)\n  return hash.update(this._opad).update(h).digest()\n}\n\nmodule.exports = function createHmac (alg, key) {\n  alg = alg.toLowerCase()\n  if (alg === 'rmd160' || alg === 'ripemd160') {\n    return new Hmac('rmd160', key)\n  }\n  if (alg === 'md5') {\n    return new Legacy(md5, key)\n  }\n  return new Hmac(alg, key)\n}\n","var inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,\n  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,\n  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,\n  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,\n  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,\n  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,\n  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,\n  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,\n  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n]\n\nvar W = new Array(160)\n\nfunction Sha512 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha512, Hash)\n\nSha512.prototype.init = function () {\n  this._ah = 0x6a09e667\n  this._bh = 0xbb67ae85\n  this._ch = 0x3c6ef372\n  this._dh = 0xa54ff53a\n  this._eh = 0x510e527f\n  this._fh = 0x9b05688c\n  this._gh = 0x1f83d9ab\n  this._hh = 0x5be0cd19\n\n  this._al = 0xf3bcc908\n  this._bl = 0x84caa73b\n  this._cl = 0xfe94f82b\n  this._dl = 0x5f1d36f1\n  this._el = 0xade682d1\n  this._fl = 0x2b3e6c1f\n  this._gl = 0xfb41bd6b\n  this._hl = 0x137e2179\n\n  return this\n}\n\nfunction Ch (x, y, z) {\n  return z ^ (x & (y ^ z))\n}\n\nfunction maj (x, y, z) {\n  return (x & y) | (z & (x | y))\n}\n\nfunction sigma0 (x, xl) {\n  return (x >>> 28 | xl << 4) ^ (xl >>> 2 | x << 30) ^ (xl >>> 7 | x << 25)\n}\n\nfunction sigma1 (x, xl) {\n  return (x >>> 14 | xl << 18) ^ (x >>> 18 | xl << 14) ^ (xl >>> 9 | x << 23)\n}\n\nfunction Gamma0 (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7)\n}\n\nfunction Gamma0l (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7 | xl << 25)\n}\n\nfunction Gamma1 (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6)\n}\n\nfunction Gamma1l (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6 | xl << 26)\n}\n\nfunction getCarry (a, b) {\n  return (a >>> 0) < (b >>> 0) ? 1 : 0\n}\n\nSha512.prototype._update = function (M) {\n  var W = this._w\n\n  var ah = this._ah | 0\n  var bh = this._bh | 0\n  var ch = this._ch | 0\n  var dh = this._dh | 0\n  var eh = this._eh | 0\n  var fh = this._fh | 0\n  var gh = this._gh | 0\n  var hh = this._hh | 0\n\n  var al = this._al | 0\n  var bl = this._bl | 0\n  var cl = this._cl | 0\n  var dl = this._dl | 0\n  var el = this._el | 0\n  var fl = this._fl | 0\n  var gl = this._gl | 0\n  var hl = this._hl | 0\n\n  for (var i = 0; i < 32; i += 2) {\n    W[i] = M.readInt32BE(i * 4)\n    W[i + 1] = M.readInt32BE(i * 4 + 4)\n  }\n  for (; i < 160; i += 2) {\n    var xh = W[i - 15 * 2]\n    var xl = W[i - 15 * 2 + 1]\n    var gamma0 = Gamma0(xh, xl)\n    var gamma0l = Gamma0l(xl, xh)\n\n    xh = W[i - 2 * 2]\n    xl = W[i - 2 * 2 + 1]\n    var gamma1 = Gamma1(xh, xl)\n    var gamma1l = Gamma1l(xl, xh)\n\n    // W[i] = gamma0 + W[i - 7] + gamma1 + W[i - 16]\n    var Wi7h = W[i - 7 * 2]\n    var Wi7l = W[i - 7 * 2 + 1]\n\n    var Wi16h = W[i - 16 * 2]\n    var Wi16l = W[i - 16 * 2 + 1]\n\n    var Wil = (gamma0l + Wi7l) | 0\n    var Wih = (gamma0 + Wi7h + getCarry(Wil, gamma0l)) | 0\n    Wil = (Wil + gamma1l) | 0\n    Wih = (Wih + gamma1 + getCarry(Wil, gamma1l)) | 0\n    Wil = (Wil + Wi16l) | 0\n    Wih = (Wih + Wi16h + getCarry(Wil, Wi16l)) | 0\n\n    W[i] = Wih\n    W[i + 1] = Wil\n  }\n\n  for (var j = 0; j < 160; j += 2) {\n    Wih = W[j]\n    Wil = W[j + 1]\n\n    var majh = maj(ah, bh, ch)\n    var majl = maj(al, bl, cl)\n\n    var sigma0h = sigma0(ah, al)\n    var sigma0l = sigma0(al, ah)\n    var sigma1h = sigma1(eh, el)\n    var sigma1l = sigma1(el, eh)\n\n    // t1 = h + sigma1 + ch + K[j] + W[j]\n    var Kih = K[j]\n    var Kil = K[j + 1]\n\n    var chh = Ch(eh, fh, gh)\n    var chl = Ch(el, fl, gl)\n\n    var t1l = (hl + sigma1l) | 0\n    var t1h = (hh + sigma1h + getCarry(t1l, hl)) | 0\n    t1l = (t1l + chl) | 0\n    t1h = (t1h + chh + getCarry(t1l, chl)) | 0\n    t1l = (t1l + Kil) | 0\n    t1h = (t1h + Kih + getCarry(t1l, Kil)) | 0\n    t1l = (t1l + Wil) | 0\n    t1h = (t1h + Wih + getCarry(t1l, Wil)) | 0\n\n    // t2 = sigma0 + maj\n    var t2l = (sigma0l + majl) | 0\n    var t2h = (sigma0h + majh + getCarry(t2l, sigma0l)) | 0\n\n    hh = gh\n    hl = gl\n    gh = fh\n    gl = fl\n    fh = eh\n    fl = el\n    el = (dl + t1l) | 0\n    eh = (dh + t1h + getCarry(el, dl)) | 0\n    dh = ch\n    dl = cl\n    ch = bh\n    cl = bl\n    bh = ah\n    bl = al\n    al = (t1l + t2l) | 0\n    ah = (t1h + t2h + getCarry(al, t1l)) | 0\n  }\n\n  this._al = (this._al + al) | 0\n  this._bl = (this._bl + bl) | 0\n  this._cl = (this._cl + cl) | 0\n  this._dl = (this._dl + dl) | 0\n  this._el = (this._el + el) | 0\n  this._fl = (this._fl + fl) | 0\n  this._gl = (this._gl + gl) | 0\n  this._hl = (this._hl + hl) | 0\n\n  this._ah = (this._ah + ah + getCarry(this._al, al)) | 0\n  this._bh = (this._bh + bh + getCarry(this._bl, bl)) | 0\n  this._ch = (this._ch + ch + getCarry(this._cl, cl)) | 0\n  this._dh = (this._dh + dh + getCarry(this._dl, dl)) | 0\n  this._eh = (this._eh + eh + getCarry(this._el, el)) | 0\n  this._fh = (this._fh + fh + getCarry(this._fl, fl)) | 0\n  this._gh = (this._gh + gh + getCarry(this._gl, gl)) | 0\n  this._hh = (this._hh + hh + getCarry(this._hl, hl)) | 0\n}\n\nSha512.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(64)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n  writeInt64BE(this._gh, this._gl, 48)\n  writeInt64BE(this._hh, this._hl, 56)\n\n  return H\n}\n\nmodule.exports = Sha512\n","/**\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined\n * in FIPS 180-2\n * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n *\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x428A2F98, 0x71374491, 0xB5C0FBCF, 0xE9B5DBA5,\n  0x3956C25B, 0x59F111F1, 0x923F82A4, 0xAB1C5ED5,\n  0xD807AA98, 0x12835B01, 0x243185BE, 0x550C7DC3,\n  0x72BE5D74, 0x80DEB1FE, 0x9BDC06A7, 0xC19BF174,\n  0xE49B69C1, 0xEFBE4786, 0x0FC19DC6, 0x240CA1CC,\n  0x2DE92C6F, 0x4A7484AA, 0x5CB0A9DC, 0x76F988DA,\n  0x983E5152, 0xA831C66D, 0xB00327C8, 0xBF597FC7,\n  0xC6E00BF3, 0xD5A79147, 0x06CA6351, 0x14292967,\n  0x27B70A85, 0x2E1B2138, 0x4D2C6DFC, 0x53380D13,\n  0x650A7354, 0x766A0ABB, 0x81C2C92E, 0x92722C85,\n  0xA2BFE8A1, 0xA81A664B, 0xC24B8B70, 0xC76C51A3,\n  0xD192E819, 0xD6990624, 0xF40E3585, 0x106AA070,\n  0x19A4C116, 0x1E376C08, 0x2748774C, 0x34B0BCB5,\n  0x391C0CB3, 0x4ED8AA4A, 0x5B9CCA4F, 0x682E6FF3,\n  0x748F82EE, 0x78A5636F, 0x84C87814, 0x8CC70208,\n  0x90BEFFFA, 0xA4506CEB, 0xBEF9A3F7, 0xC67178F2\n]\n\nvar W = new Array(64)\n\nfunction Sha256 () {\n  this.init()\n\n  this._w = W // new Array(64)\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha256, Hash)\n\nSha256.prototype.init = function () {\n  this._a = 0x6a09e667\n  this._b = 0xbb67ae85\n  this._c = 0x3c6ef372\n  this._d = 0xa54ff53a\n  this._e = 0x510e527f\n  this._f = 0x9b05688c\n  this._g = 0x1f83d9ab\n  this._h = 0x5be0cd19\n\n  return this\n}\n\nfunction ch (x, y, z) {\n  return z ^ (x & (y ^ z))\n}\n\nfunction maj (x, y, z) {\n  return (x & y) | (z & (x | y))\n}\n\nfunction sigma0 (x) {\n  return (x >>> 2 | x << 30) ^ (x >>> 13 | x << 19) ^ (x >>> 22 | x << 10)\n}\n\nfunction sigma1 (x) {\n  return (x >>> 6 | x << 26) ^ (x >>> 11 | x << 21) ^ (x >>> 25 | x << 7)\n}\n\nfunction gamma0 (x) {\n  return (x >>> 7 | x << 25) ^ (x >>> 18 | x << 14) ^ (x >>> 3)\n}\n\nfunction gamma1 (x) {\n  return (x >>> 17 | x << 15) ^ (x >>> 19 | x << 13) ^ (x >>> 10)\n}\n\nSha256.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n  var f = this._f | 0\n  var g = this._g | 0\n  var h = this._h | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 64; ++i) W[i] = (gamma1(W[i - 2]) + W[i - 7] + gamma0(W[i - 15]) + W[i - 16]) | 0\n\n  for (var j = 0; j < 64; ++j) {\n    var T1 = (h + sigma1(e) + ch(e, f, g) + K[j] + W[j]) | 0\n    var T2 = (sigma0(a) + maj(a, b, c)) | 0\n\n    h = g\n    g = f\n    f = e\n    e = (d + T1) | 0\n    d = c\n    c = b\n    b = a\n    a = (T1 + T2) | 0\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n  this._f = (f + this._f) | 0\n  this._g = (g + this._g) | 0\n  this._h = (h + this._h) | 0\n}\n\nSha256.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(32)\n\n  H.writeInt32BE(this._a, 0)\n  H.writeInt32BE(this._b, 4)\n  H.writeInt32BE(this._c, 8)\n  H.writeInt32BE(this._d, 12)\n  H.writeInt32BE(this._e, 16)\n  H.writeInt32BE(this._f, 20)\n  H.writeInt32BE(this._g, 24)\n  H.writeInt32BE(this._h, 28)\n\n  return H\n}\n\nmodule.exports = Sha256\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a transform stream is a readable/writable stream where you do\n// something with the data.  Sometimes it's called a \"filter\",\n// but that's not a great name for it, since that implies a thing where\n// some bits pass through, and others are simply ignored.  (That would\n// be a valid example of a transform, of course.)\n//\n// While the output is causally related to the input, it's not a\n// necessarily symmetric or synchronous transformation.  For example,\n// a zlib stream might take multiple plain-text writes(), and then\n// emit a single compressed chunk some time in the future.\n//\n// Here's how this works:\n//\n// The Transform stream has all the aspects of the readable and writable\n// stream classes.  When you write(chunk), that calls _write(chunk,cb)\n// internally, and returns false if there's a lot of pending writes\n// buffered up.  When you call read(), that calls _read(n) until\n// there's enough pending readable data buffered up.\n//\n// In a transform stream, the written data is placed in a buffer.  When\n// _read(n) is called, it transforms the queued up data, calling the\n// buffered _write cb's as it consumes chunks.  If consuming a single\n// written chunk would result in multiple output chunks, then the first\n// outputted bit calls the readcb, and subsequent chunks just go into\n// the read buffer, and will cause it to emit 'readable' if necessary.\n//\n// This way, back-pressure is actually determined by the reading side,\n// since _read has to be called to start processing a new chunk.  However,\n// a pathological inflate type of transform can cause excessive buffering\n// here.  For example, imagine a stream where every byte of input is\n// interpreted as an integer from 0-255, and then results in that many\n// bytes of output.  Writing the 4 bytes {ff,ff,ff,ff} would result in\n// 1kb of data being output.  In this case, you could write a very small\n// amount of input, and end up with a very large amount of output.  In\n// such a pathological inflating mechanism, there'd be no way to tell\n// the system to stop doing the transform.  A single 4MB write could\n// cause the system to run out of memory.\n//\n// However, even in such a pathological case, only a single written chunk\n// would be consumed, and then the rest would wait (un-transformed) until\n// the results of the previous transformed chunk were consumed.\n\n'use strict';\n\nmodule.exports = Transform;\n\nvar Duplex = require('./_stream_duplex');\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nutil.inherits(Transform, Duplex);\n\nfunction afterTransform(er, data) {\n  var ts = this._transformState;\n  ts.transforming = false;\n\n  var cb = ts.writecb;\n\n  if (!cb) {\n    return this.emit('error', new Error('write callback called multiple times'));\n  }\n\n  ts.writechunk = null;\n  ts.writecb = null;\n\n  if (data != null) // single equals check for both `null` and `undefined`\n    this.push(data);\n\n  cb(er);\n\n  var rs = this._readableState;\n  rs.reading = false;\n  if (rs.needReadable || rs.length < rs.highWaterMark) {\n    this._read(rs.highWaterMark);\n  }\n}\n\nfunction Transform(options) {\n  if (!(this instanceof Transform)) return new Transform(options);\n\n  Duplex.call(this, options);\n\n  this._transformState = {\n    afterTransform: afterTransform.bind(this),\n    needTransform: false,\n    transforming: false,\n    writecb: null,\n    writechunk: null,\n    writeencoding: null\n  };\n\n  // start out asking for a readable event once data is transformed.\n  this._readableState.needReadable = true;\n\n  // we have implemented the _read method, and done the other things\n  // that Readable wants before the first _read call, so unset the\n  // sync guard flag.\n  this._readableState.sync = false;\n\n  if (options) {\n    if (typeof options.transform === 'function') this._transform = options.transform;\n\n    if (typeof options.flush === 'function') this._flush = options.flush;\n  }\n\n  // When the writable side finishes, then flush out anything remaining.\n  this.on('prefinish', prefinish);\n}\n\nfunction prefinish() {\n  var _this = this;\n\n  if (typeof this._flush === 'function') {\n    this._flush(function (er, data) {\n      done(_this, er, data);\n    });\n  } else {\n    done(this, null, null);\n  }\n}\n\nTransform.prototype.push = function (chunk, encoding) {\n  this._transformState.needTransform = false;\n  return Duplex.prototype.push.call(this, chunk, encoding);\n};\n\n// This is the part where you do stuff!\n// override this function in implementation classes.\n// 'chunk' is an input chunk.\n//\n// Call `push(newChunk)` to pass along transformed output\n// to the readable side.  You may call 'push' zero or more times.\n//\n// Call `cb(err)` when you are done with this chunk.  If you pass\n// an error, then that'll put the hurt on the whole operation.  If you\n// never call cb(), then you'll never get another chunk.\nTransform.prototype._transform = function (chunk, encoding, cb) {\n  throw new Error('_transform() is not implemented');\n};\n\nTransform.prototype._write = function (chunk, encoding, cb) {\n  var ts = this._transformState;\n  ts.writecb = cb;\n  ts.writechunk = chunk;\n  ts.writeencoding = encoding;\n  if (!ts.transforming) {\n    var rs = this._readableState;\n    if (ts.needTransform || rs.needReadable || rs.length < rs.highWaterMark) this._read(rs.highWaterMark);\n  }\n};\n\n// Doesn't matter what the args are here.\n// _transform does all the work.\n// That we got here means that the readable side wants more data.\nTransform.prototype._read = function (n) {\n  var ts = this._transformState;\n\n  if (ts.writechunk !== null && ts.writecb && !ts.transforming) {\n    ts.transforming = true;\n    this._transform(ts.writechunk, ts.writeencoding, ts.afterTransform);\n  } else {\n    // mark that we need a transform, so that any data that comes in\n    // will get processed, now that we've asked for it.\n    ts.needTransform = true;\n  }\n};\n\nTransform.prototype._destroy = function (err, cb) {\n  var _this2 = this;\n\n  Duplex.prototype._destroy.call(this, err, function (err2) {\n    cb(err2);\n    _this2.emit('close');\n  });\n};\n\nfunction done(stream, er, data) {\n  if (er) return stream.emit('error', er);\n\n  if (data != null) // single equals check for both `null` and `undefined`\n    stream.push(data);\n\n  // if there's nothing in the write buffer, then that means\n  // that nothing more will ever be provided\n  if (stream._writableState.length) throw new Error('Calling transform done when ws.length != 0');\n\n  if (stream._transformState.transforming) throw new Error('Calling transform done when still transforming');\n\n  return stream.push(null);\n}","'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\n// undocumented cb() API, needed for core, not for public API\nfunction destroy(err, cb) {\n  var _this = this;\n\n  var readableDestroyed = this._readableState && this._readableState.destroyed;\n  var writableDestroyed = this._writableState && this._writableState.destroyed;\n\n  if (readableDestroyed || writableDestroyed) {\n    if (cb) {\n      cb(err);\n    } else if (err && (!this._writableState || !this._writableState.errorEmitted)) {\n      pna.nextTick(emitErrorNT, this, err);\n    }\n    return this;\n  }\n\n  // we set destroyed to true before firing error callbacks in order\n  // to make it re-entrance safe in case destroy() is called within callbacks\n\n  if (this._readableState) {\n    this._readableState.destroyed = true;\n  }\n\n  // if this is a duplex stream mark the writable part as destroyed as well\n  if (this._writableState) {\n    this._writableState.destroyed = true;\n  }\n\n  this._destroy(err || null, function (err) {\n    if (!cb && err) {\n      pna.nextTick(emitErrorNT, _this, err);\n      if (_this._writableState) {\n        _this._writableState.errorEmitted = true;\n      }\n    } else if (cb) {\n      cb(err);\n    }\n  });\n\n  return this;\n}\n\nfunction undestroy() {\n  if (this._readableState) {\n    this._readableState.destroyed = false;\n    this._readableState.reading = false;\n    this._readableState.ended = false;\n    this._readableState.endEmitted = false;\n  }\n\n  if (this._writableState) {\n    this._writableState.destroyed = false;\n    this._writableState.ended = false;\n    this._writableState.ending = false;\n    this._writableState.finished = false;\n    this._writableState.errorEmitted = false;\n  }\n}\n\nfunction emitErrorNT(self, err) {\n  self.emit('error', err);\n}\n\nmodule.exports = {\n  destroy: destroy,\n  undestroy: undestroy\n};","module.exports = require('events').EventEmitter;\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Readable;\n\n/*<replacement>*/\nvar isArray = require('isarray');\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nReadable.ReadableState = ReadableState;\n\n/*<replacement>*/\nvar EE = require('events').EventEmitter;\n\nvar EElistenerCount = function (emitter, type) {\n  return emitter.listeners(type).length;\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar debugUtil = require('util');\nvar debug = void 0;\nif (debugUtil && debugUtil.debuglog) {\n  debug = debugUtil.debuglog('stream');\n} else {\n  debug = function () {};\n}\n/*</replacement>*/\n\nvar BufferList = require('./internal/streams/BufferList');\nvar destroyImpl = require('./internal/streams/destroy');\nvar StringDecoder;\n\nutil.inherits(Readable, Stream);\n\nvar kProxyEvents = ['error', 'close', 'destroy', 'pause', 'resume'];\n\nfunction prependListener(emitter, event, fn) {\n  // Sadly this is not cacheable as some libraries bundle their own\n  // event emitter implementation with them.\n  if (typeof emitter.prependListener === 'function') return emitter.prependListener(event, fn);\n\n  // This is a hack to make sure that our error handler is attached before any\n  // userland ones.  NEVER DO THIS. This is here only because this code needs\n  // to continue to work with older versions of Node.js that do not include\n  // the prependListener() method. The goal is to eventually remove this hack.\n  if (!emitter._events || !emitter._events[event]) emitter.on(event, fn);else if (isArray(emitter._events[event])) emitter._events[event].unshift(fn);else emitter._events[event] = [fn, emitter._events[event]];\n}\n\nfunction ReadableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag. Used to make read(n) ignore n and to\n  // make all the buffer merging and length checks go away\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.readableObjectMode;\n\n  // the point at which it stops calling _read() to fill the buffer\n  // Note: 0 is a valid value, means \"don't call _read preemptively ever\"\n  var hwm = options.highWaterMark;\n  var readableHwm = options.readableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (readableHwm || readableHwm === 0)) this.highWaterMark = readableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // A linked list is used to store data chunks instead of an array because the\n  // linked list can remove elements from the beginning faster than\n  // array.shift()\n  this.buffer = new BufferList();\n  this.length = 0;\n  this.pipes = null;\n  this.pipesCount = 0;\n  this.flowing = null;\n  this.ended = false;\n  this.endEmitted = false;\n  this.reading = false;\n\n  // a flag to be able to tell if the event 'readable'/'data' is emitted\n  // immediately, or on a later tick.  We set this to true at first, because\n  // any actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first read call.\n  this.sync = true;\n\n  // whenever we return null, then we set a flag to say\n  // that we're awaiting a 'readable' event emission.\n  this.needReadable = false;\n  this.emittedReadable = false;\n  this.readableListening = false;\n  this.resumeScheduled = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // the number of writers that are awaiting a drain event in .pipe()s\n  this.awaitDrain = 0;\n\n  // if true, a maybeReadMore has been scheduled\n  this.readingMore = false;\n\n  this.decoder = null;\n  this.encoding = null;\n  if (options.encoding) {\n    if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n    this.decoder = new StringDecoder(options.encoding);\n    this.encoding = options.encoding;\n  }\n}\n\nfunction Readable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  if (!(this instanceof Readable)) return new Readable(options);\n\n  this._readableState = new ReadableState(options, this);\n\n  // legacy\n  this.readable = true;\n\n  if (options) {\n    if (typeof options.read === 'function') this._read = options.read;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n  }\n\n  Stream.call(this);\n}\n\nObject.defineProperty(Readable.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._readableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n  }\n});\n\nReadable.prototype.destroy = destroyImpl.destroy;\nReadable.prototype._undestroy = destroyImpl.undestroy;\nReadable.prototype._destroy = function (err, cb) {\n  this.push(null);\n  cb(err);\n};\n\n// Manually shove something into the read() buffer.\n// This returns true if the highWaterMark has not been hit yet,\n// similar to how Writable.write() returns true if you should\n// write() some more.\nReadable.prototype.push = function (chunk, encoding) {\n  var state = this._readableState;\n  var skipChunkCheck;\n\n  if (!state.objectMode) {\n    if (typeof chunk === 'string') {\n      encoding = encoding || state.defaultEncoding;\n      if (encoding !== state.encoding) {\n        chunk = Buffer.from(chunk, encoding);\n        encoding = '';\n      }\n      skipChunkCheck = true;\n    }\n  } else {\n    skipChunkCheck = true;\n  }\n\n  return readableAddChunk(this, chunk, encoding, false, skipChunkCheck);\n};\n\n// Unshift should *always* be something directly out of read()\nReadable.prototype.unshift = function (chunk) {\n  return readableAddChunk(this, chunk, null, true, false);\n};\n\nfunction readableAddChunk(stream, chunk, encoding, addToFront, skipChunkCheck) {\n  var state = stream._readableState;\n  if (chunk === null) {\n    state.reading = false;\n    onEofChunk(stream, state);\n  } else {\n    var er;\n    if (!skipChunkCheck) er = chunkInvalid(state, chunk);\n    if (er) {\n      stream.emit('error', er);\n    } else if (state.objectMode || chunk && chunk.length > 0) {\n      if (typeof chunk !== 'string' && !state.objectMode && Object.getPrototypeOf(chunk) !== Buffer.prototype) {\n        chunk = _uint8ArrayToBuffer(chunk);\n      }\n\n      if (addToFront) {\n        if (state.endEmitted) stream.emit('error', new Error('stream.unshift() after end event'));else addChunk(stream, state, chunk, true);\n      } else if (state.ended) {\n        stream.emit('error', new Error('stream.push() after EOF'));\n      } else {\n        state.reading = false;\n        if (state.decoder && !encoding) {\n          chunk = state.decoder.write(chunk);\n          if (state.objectMode || chunk.length !== 0) addChunk(stream, state, chunk, false);else maybeReadMore(stream, state);\n        } else {\n          addChunk(stream, state, chunk, false);\n        }\n      }\n    } else if (!addToFront) {\n      state.reading = false;\n    }\n  }\n\n  return needMoreData(state);\n}\n\nfunction addChunk(stream, state, chunk, addToFront) {\n  if (state.flowing && state.length === 0 && !state.sync) {\n    stream.emit('data', chunk);\n    stream.read(0);\n  } else {\n    // update the buffer info.\n    state.length += state.objectMode ? 1 : chunk.length;\n    if (addToFront) state.buffer.unshift(chunk);else state.buffer.push(chunk);\n\n    if (state.needReadable) emitReadable(stream);\n  }\n  maybeReadMore(stream, state);\n}\n\nfunction chunkInvalid(state, chunk) {\n  var er;\n  if (!_isUint8Array(chunk) && typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  return er;\n}\n\n// if it's past the high water mark, we can push in some more.\n// Also, if we have no data yet, we can stand some\n// more bytes.  This is to work around cases where hwm=0,\n// such as the repl.  Also, if the push() triggered a\n// readable event, and the user called read(largeNumber) such that\n// needReadable was set, then we ought to push more, so that another\n// 'readable' event will be triggered.\nfunction needMoreData(state) {\n  return !state.ended && (state.needReadable || state.length < state.highWaterMark || state.length === 0);\n}\n\nReadable.prototype.isPaused = function () {\n  return this._readableState.flowing === false;\n};\n\n// backwards compatibility.\nReadable.prototype.setEncoding = function (enc) {\n  if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n  this._readableState.decoder = new StringDecoder(enc);\n  this._readableState.encoding = enc;\n  return this;\n};\n\n// Don't raise the hwm > 8MB\nvar MAX_HWM = 0x800000;\nfunction computeNewHighWaterMark(n) {\n  if (n >= MAX_HWM) {\n    n = MAX_HWM;\n  } else {\n    // Get the next highest power of 2 to prevent increasing hwm excessively in\n    // tiny amounts\n    n--;\n    n |= n >>> 1;\n    n |= n >>> 2;\n    n |= n >>> 4;\n    n |= n >>> 8;\n    n |= n >>> 16;\n    n++;\n  }\n  return n;\n}\n\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction howMuchToRead(n, state) {\n  if (n <= 0 || state.length === 0 && state.ended) return 0;\n  if (state.objectMode) return 1;\n  if (n !== n) {\n    // Only flow one buffer at a time\n    if (state.flowing && state.length) return state.buffer.head.data.length;else return state.length;\n  }\n  // If we're asking for more than the current hwm, then raise the hwm.\n  if (n > state.highWaterMark) state.highWaterMark = computeNewHighWaterMark(n);\n  if (n <= state.length) return n;\n  // Don't have enough\n  if (!state.ended) {\n    state.needReadable = true;\n    return 0;\n  }\n  return state.length;\n}\n\n// you can override either this method, or the async _read(n) below.\nReadable.prototype.read = function (n) {\n  debug('read', n);\n  n = parseInt(n, 10);\n  var state = this._readableState;\n  var nOrig = n;\n\n  if (n !== 0) state.emittedReadable = false;\n\n  // if we're doing read(0) to trigger a readable event, but we\n  // already have a bunch of data in the buffer, then just trigger\n  // the 'readable' event and move on.\n  if (n === 0 && state.needReadable && (state.length >= state.highWaterMark || state.ended)) {\n    debug('read: emitReadable', state.length, state.ended);\n    if (state.length === 0 && state.ended) endReadable(this);else emitReadable(this);\n    return null;\n  }\n\n  n = howMuchToRead(n, state);\n\n  // if we've ended, and we're now clear, then finish it up.\n  if (n === 0 && state.ended) {\n    if (state.length === 0) endReadable(this);\n    return null;\n  }\n\n  // All the actual chunk generation logic needs to be\n  // *below* the call to _read.  The reason is that in certain\n  // synthetic stream cases, such as passthrough streams, _read\n  // may be a completely synchronous operation which may change\n  // the state of the read buffer, providing enough data when\n  // before there was *not* enough.\n  //\n  // So, the steps are:\n  // 1. Figure out what the state of things will be after we do\n  // a read from the buffer.\n  //\n  // 2. If that resulting state will trigger a _read, then call _read.\n  // Note that this may be asynchronous, or synchronous.  Yes, it is\n  // deeply ugly to write APIs this way, but that still doesn't mean\n  // that the Readable class should behave improperly, as streams are\n  // designed to be sync/async agnostic.\n  // Take note if the _read call is sync or async (ie, if the read call\n  // has returned yet), so that we know whether or not it's safe to emit\n  // 'readable' etc.\n  //\n  // 3. Actually pull the requested chunks out of the buffer and return.\n\n  // if we need a readable event, then we need to do some reading.\n  var doRead = state.needReadable;\n  debug('need readable', doRead);\n\n  // if we currently have less than the highWaterMark, then also read some\n  if (state.length === 0 || state.length - n < state.highWaterMark) {\n    doRead = true;\n    debug('length less than watermark', doRead);\n  }\n\n  // however, if we've ended, then there's no point, and if we're already\n  // reading, then it's unnecessary.\n  if (state.ended || state.reading) {\n    doRead = false;\n    debug('reading or ended', doRead);\n  } else if (doRead) {\n    debug('do read');\n    state.reading = true;\n    state.sync = true;\n    // if the length is currently zero, then we *need* a readable event.\n    if (state.length === 0) state.needReadable = true;\n    // call internal read method\n    this._read(state.highWaterMark);\n    state.sync = false;\n    // If _read pushed data synchronously, then `reading` will be false,\n    // and we need to re-evaluate how much data we can return to the user.\n    if (!state.reading) n = howMuchToRead(nOrig, state);\n  }\n\n  var ret;\n  if (n > 0) ret = fromList(n, state);else ret = null;\n\n  if (ret === null) {\n    state.needReadable = true;\n    n = 0;\n  } else {\n    state.length -= n;\n  }\n\n  if (state.length === 0) {\n    // If we have nothing in the buffer, then we want to know\n    // as soon as we *do* get something into the buffer.\n    if (!state.ended) state.needReadable = true;\n\n    // If we tried to read() past the EOF, then emit end on the next tick.\n    if (nOrig !== n && state.ended) endReadable(this);\n  }\n\n  if (ret !== null) this.emit('data', ret);\n\n  return ret;\n};\n\nfunction onEofChunk(stream, state) {\n  if (state.ended) return;\n  if (state.decoder) {\n    var chunk = state.decoder.end();\n    if (chunk && chunk.length) {\n      state.buffer.push(chunk);\n      state.length += state.objectMode ? 1 : chunk.length;\n    }\n  }\n  state.ended = true;\n\n  // emit 'readable' now to make sure it gets picked up.\n  emitReadable(stream);\n}\n\n// Don't emit readable right away in sync mode, because this can trigger\n// another read() call => stack overflow.  This way, it might trigger\n// a nextTick recursion warning, but that's not so bad.\nfunction emitReadable(stream) {\n  var state = stream._readableState;\n  state.needReadable = false;\n  if (!state.emittedReadable) {\n    debug('emitReadable', state.flowing);\n    state.emittedReadable = true;\n    if (state.sync) pna.nextTick(emitReadable_, stream);else emitReadable_(stream);\n  }\n}\n\nfunction emitReadable_(stream) {\n  debug('emit readable');\n  stream.emit('readable');\n  flow(stream);\n}\n\n// at this point, the user has presumably seen the 'readable' event,\n// and called read() to consume some data.  that may have triggered\n// in turn another _read(n) call, in which case reading = true if\n// it's in progress.\n// However, if we're not ended, or reading, and the length < hwm,\n// then go ahead and try to read some more preemptively.\nfunction maybeReadMore(stream, state) {\n  if (!state.readingMore) {\n    state.readingMore = true;\n    pna.nextTick(maybeReadMore_, stream, state);\n  }\n}\n\nfunction maybeReadMore_(stream, state) {\n  var len = state.length;\n  while (!state.reading && !state.flowing && !state.ended && state.length < state.highWaterMark) {\n    debug('maybeReadMore read 0');\n    stream.read(0);\n    if (len === state.length)\n      // didn't get any data, stop spinning.\n      break;else len = state.length;\n  }\n  state.readingMore = false;\n}\n\n// abstract method.  to be overridden in specific implementation classes.\n// call cb(er, data) where data is <= n in length.\n// for virtual (non-string, non-buffer) streams, \"length\" is somewhat\n// arbitrary, and perhaps not very meaningful.\nReadable.prototype._read = function (n) {\n  this.emit('error', new Error('_read() is not implemented'));\n};\n\nReadable.prototype.pipe = function (dest, pipeOpts) {\n  var src = this;\n  var state = this._readableState;\n\n  switch (state.pipesCount) {\n    case 0:\n      state.pipes = dest;\n      break;\n    case 1:\n      state.pipes = [state.pipes, dest];\n      break;\n    default:\n      state.pipes.push(dest);\n      break;\n  }\n  state.pipesCount += 1;\n  debug('pipe count=%d opts=%j', state.pipesCount, pipeOpts);\n\n  var doEnd = (!pipeOpts || pipeOpts.end !== false) && dest !== process.stdout && dest !== process.stderr;\n\n  var endFn = doEnd ? onend : unpipe;\n  if (state.endEmitted) pna.nextTick(endFn);else src.once('end', endFn);\n\n  dest.on('unpipe', onunpipe);\n  function onunpipe(readable, unpipeInfo) {\n    debug('onunpipe');\n    if (readable === src) {\n      if (unpipeInfo && unpipeInfo.hasUnpiped === false) {\n        unpipeInfo.hasUnpiped = true;\n        cleanup();\n      }\n    }\n  }\n\n  function onend() {\n    debug('onend');\n    dest.end();\n  }\n\n  // when the dest drains, it reduces the awaitDrain counter\n  // on the source.  This would be more elegant with a .once()\n  // handler in flow(), but adding and removing repeatedly is\n  // too slow.\n  var ondrain = pipeOnDrain(src);\n  dest.on('drain', ondrain);\n\n  var cleanedUp = false;\n  function cleanup() {\n    debug('cleanup');\n    // cleanup event handlers once the pipe is broken\n    dest.removeListener('close', onclose);\n    dest.removeListener('finish', onfinish);\n    dest.removeListener('drain', ondrain);\n    dest.removeListener('error', onerror);\n    dest.removeListener('unpipe', onunpipe);\n    src.removeListener('end', onend);\n    src.removeListener('end', unpipe);\n    src.removeListener('data', ondata);\n\n    cleanedUp = true;\n\n    // if the reader is waiting for a drain event from this\n    // specific writer, then it would cause it to never start\n    // flowing again.\n    // So, if this is awaiting a drain, then we just call it now.\n    // If we don't know, then assume that we are waiting for one.\n    if (state.awaitDrain && (!dest._writableState || dest._writableState.needDrain)) ondrain();\n  }\n\n  // If the user pushes more data while we're writing to dest then we'll end up\n  // in ondata again. However, we only want to increase awaitDrain once because\n  // dest will only emit one 'drain' event for the multiple writes.\n  // => Introduce a guard on increasing awaitDrain.\n  var increasedAwaitDrain = false;\n  src.on('data', ondata);\n  function ondata(chunk) {\n    debug('ondata');\n    increasedAwaitDrain = false;\n    var ret = dest.write(chunk);\n    if (false === ret && !increasedAwaitDrain) {\n      // If the user unpiped during `dest.write()`, it is possible\n      // to get stuck in a permanently paused state if that write\n      // also returned false.\n      // => Check whether `dest` is still a piping destination.\n      if ((state.pipesCount === 1 && state.pipes === dest || state.pipesCount > 1 && indexOf(state.pipes, dest) !== -1) && !cleanedUp) {\n        debug('false write response, pause', src._readableState.awaitDrain);\n        src._readableState.awaitDrain++;\n        increasedAwaitDrain = true;\n      }\n      src.pause();\n    }\n  }\n\n  // if the dest has an error, then stop piping into it.\n  // however, don't suppress the throwing behavior for this.\n  function onerror(er) {\n    debug('onerror', er);\n    unpipe();\n    dest.removeListener('error', onerror);\n    if (EElistenerCount(dest, 'error') === 0) dest.emit('error', er);\n  }\n\n  // Make sure our error handler is attached before userland ones.\n  prependListener(dest, 'error', onerror);\n\n  // Both close and finish should trigger unpipe, but only once.\n  function onclose() {\n    dest.removeListener('finish', onfinish);\n    unpipe();\n  }\n  dest.once('close', onclose);\n  function onfinish() {\n    debug('onfinish');\n    dest.removeListener('close', onclose);\n    unpipe();\n  }\n  dest.once('finish', onfinish);\n\n  function unpipe() {\n    debug('unpipe');\n    src.unpipe(dest);\n  }\n\n  // tell the dest that it's being piped to\n  dest.emit('pipe', src);\n\n  // start the flow if it hasn't been started already.\n  if (!state.flowing) {\n    debug('pipe resume');\n    src.resume();\n  }\n\n  return dest;\n};\n\nfunction pipeOnDrain(src) {\n  return function () {\n    var state = src._readableState;\n    debug('pipeOnDrain', state.awaitDrain);\n    if (state.awaitDrain) state.awaitDrain--;\n    if (state.awaitDrain === 0 && EElistenerCount(src, 'data')) {\n      state.flowing = true;\n      flow(src);\n    }\n  };\n}\n\nReadable.prototype.unpipe = function (dest) {\n  var state = this._readableState;\n  var unpipeInfo = { hasUnpiped: false };\n\n  // if we're not piping anywhere, then do nothing.\n  if (state.pipesCount === 0) return this;\n\n  // just one destination.  most common case.\n  if (state.pipesCount === 1) {\n    // passed in one, but it's not the right one.\n    if (dest && dest !== state.pipes) return this;\n\n    if (!dest) dest = state.pipes;\n\n    // got a match.\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n    if (dest) dest.emit('unpipe', this, unpipeInfo);\n    return this;\n  }\n\n  // slow case. multiple pipe destinations.\n\n  if (!dest) {\n    // remove all.\n    var dests = state.pipes;\n    var len = state.pipesCount;\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n\n    for (var i = 0; i < len; i++) {\n      dests[i].emit('unpipe', this, unpipeInfo);\n    }return this;\n  }\n\n  // try to find the right one.\n  var index = indexOf(state.pipes, dest);\n  if (index === -1) return this;\n\n  state.pipes.splice(index, 1);\n  state.pipesCount -= 1;\n  if (state.pipesCount === 1) state.pipes = state.pipes[0];\n\n  dest.emit('unpipe', this, unpipeInfo);\n\n  return this;\n};\n\n// set up data events if they are asked for\n// Ensure readable listeners eventually get something\nReadable.prototype.on = function (ev, fn) {\n  var res = Stream.prototype.on.call(this, ev, fn);\n\n  if (ev === 'data') {\n    // Start flowing on next tick if stream isn't explicitly paused\n    if (this._readableState.flowing !== false) this.resume();\n  } else if (ev === 'readable') {\n    var state = this._readableState;\n    if (!state.endEmitted && !state.readableListening) {\n      state.readableListening = state.needReadable = true;\n      state.emittedReadable = false;\n      if (!state.reading) {\n        pna.nextTick(nReadingNextTick, this);\n      } else if (state.length) {\n        emitReadable(this);\n      }\n    }\n  }\n\n  return res;\n};\nReadable.prototype.addListener = Readable.prototype.on;\n\nfunction nReadingNextTick(self) {\n  debug('readable nexttick read 0');\n  self.read(0);\n}\n\n// pause() and resume() are remnants of the legacy readable stream API\n// If the user uses them, then switch into old mode.\nReadable.prototype.resume = function () {\n  var state = this._readableState;\n  if (!state.flowing) {\n    debug('resume');\n    state.flowing = true;\n    resume(this, state);\n  }\n  return this;\n};\n\nfunction resume(stream, state) {\n  if (!state.resumeScheduled) {\n    state.resumeScheduled = true;\n    pna.nextTick(resume_, stream, state);\n  }\n}\n\nfunction resume_(stream, state) {\n  if (!state.reading) {\n    debug('resume read 0');\n    stream.read(0);\n  }\n\n  state.resumeScheduled = false;\n  state.awaitDrain = 0;\n  stream.emit('resume');\n  flow(stream);\n  if (state.flowing && !state.reading) stream.read(0);\n}\n\nReadable.prototype.pause = function () {\n  debug('call pause flowing=%j', this._readableState.flowing);\n  if (false !== this._readableState.flowing) {\n    debug('pause');\n    this._readableState.flowing = false;\n    this.emit('pause');\n  }\n  return this;\n};\n\nfunction flow(stream) {\n  var state = stream._readableState;\n  debug('flow', state.flowing);\n  while (state.flowing && stream.read() !== null) {}\n}\n\n// wrap an old-style stream as the async data source.\n// This is *not* part of the readable stream interface.\n// It is an ugly unfortunate mess of history.\nReadable.prototype.wrap = function (stream) {\n  var _this = this;\n\n  var state = this._readableState;\n  var paused = false;\n\n  stream.on('end', function () {\n    debug('wrapped end');\n    if (state.decoder && !state.ended) {\n      var chunk = state.decoder.end();\n      if (chunk && chunk.length) _this.push(chunk);\n    }\n\n    _this.push(null);\n  });\n\n  stream.on('data', function (chunk) {\n    debug('wrapped data');\n    if (state.decoder) chunk = state.decoder.write(chunk);\n\n    // don't skip over falsy values in objectMode\n    if (state.objectMode && (chunk === null || chunk === undefined)) return;else if (!state.objectMode && (!chunk || !chunk.length)) return;\n\n    var ret = _this.push(chunk);\n    if (!ret) {\n      paused = true;\n      stream.pause();\n    }\n  });\n\n  // proxy all the other methods.\n  // important when wrapping filters and duplexes.\n  for (var i in stream) {\n    if (this[i] === undefined && typeof stream[i] === 'function') {\n      this[i] = function (method) {\n        return function () {\n          return stream[method].apply(stream, arguments);\n        };\n      }(i);\n    }\n  }\n\n  // proxy certain important events.\n  for (var n = 0; n < kProxyEvents.length; n++) {\n    stream.on(kProxyEvents[n], this.emit.bind(this, kProxyEvents[n]));\n  }\n\n  // when we try to consume some more bytes, simply unpause the\n  // underlying stream.\n  this._read = function (n) {\n    debug('wrapped _read', n);\n    if (paused) {\n      paused = false;\n      stream.resume();\n    }\n  };\n\n  return this;\n};\n\nObject.defineProperty(Readable.prototype, 'readableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._readableState.highWaterMark;\n  }\n});\n\n// exposed for testing purposes only.\nReadable._fromList = fromList;\n\n// Pluck off n bytes from an array of buffers.\n// Length is the combined lengths of all the buffers in the list.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromList(n, state) {\n  // nothing buffered\n  if (state.length === 0) return null;\n\n  var ret;\n  if (state.objectMode) ret = state.buffer.shift();else if (!n || n >= state.length) {\n    // read it all, truncate the list\n    if (state.decoder) ret = state.buffer.join('');else if (state.buffer.length === 1) ret = state.buffer.head.data;else ret = state.buffer.concat(state.length);\n    state.buffer.clear();\n  } else {\n    // read part of list\n    ret = fromListPartial(n, state.buffer, state.decoder);\n  }\n\n  return ret;\n}\n\n// Extracts only enough buffered data to satisfy the amount requested.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromListPartial(n, list, hasStrings) {\n  var ret;\n  if (n < list.head.data.length) {\n    // slice is the same for buffers and strings\n    ret = list.head.data.slice(0, n);\n    list.head.data = list.head.data.slice(n);\n  } else if (n === list.head.data.length) {\n    // first chunk is a perfect match\n    ret = list.shift();\n  } else {\n    // result spans more than one buffer\n    ret = hasStrings ? copyFromBufferString(n, list) : copyFromBuffer(n, list);\n  }\n  return ret;\n}\n\n// Copies a specified amount of characters from the list of buffered data\n// chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBufferString(n, list) {\n  var p = list.head;\n  var c = 1;\n  var ret = p.data;\n  n -= ret.length;\n  while (p = p.next) {\n    var str = p.data;\n    var nb = n > str.length ? str.length : n;\n    if (nb === str.length) ret += str;else ret += str.slice(0, n);\n    n -= nb;\n    if (n === 0) {\n      if (nb === str.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = str.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\n// Copies a specified amount of bytes from the list of buffered data chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBuffer(n, list) {\n  var ret = Buffer.allocUnsafe(n);\n  var p = list.head;\n  var c = 1;\n  p.data.copy(ret);\n  n -= p.data.length;\n  while (p = p.next) {\n    var buf = p.data;\n    var nb = n > buf.length ? buf.length : n;\n    buf.copy(ret, ret.length - n, 0, nb);\n    n -= nb;\n    if (n === 0) {\n      if (nb === buf.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = buf.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\nfunction endReadable(stream) {\n  var state = stream._readableState;\n\n  // If we get here before consuming all the bytes, then that is a\n  // bug in node.  Should never happen.\n  if (state.length > 0) throw new Error('\"endReadable()\" called on non-empty stream');\n\n  if (!state.endEmitted) {\n    state.ended = true;\n    pna.nextTick(endReadableNT, state, stream);\n  }\n}\n\nfunction endReadableNT(state, stream) {\n  // Check that we didn't get one last unshift.\n  if (!state.endEmitted && state.length === 0) {\n    state.endEmitted = true;\n    stream.readable = false;\n    stream.emit('end');\n  }\n}\n\nfunction indexOf(xs, x) {\n  for (var i = 0, l = xs.length; i < l; i++) {\n    if (xs[i] === x) return i;\n  }\n  return -1;\n}","'use strict'\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar inherits = require('inherits')\n\nfunction throwIfNotStringOrBuffer (val, prefix) {\n  if (!Buffer.isBuffer(val) && typeof val !== 'string') {\n    throw new TypeError(prefix + ' must be a string or a buffer')\n  }\n}\n\nfunction HashBase (blockSize) {\n  Transform.call(this)\n\n  this._block = Buffer.allocUnsafe(blockSize)\n  this._blockSize = blockSize\n  this._blockOffset = 0\n  this._length = [0, 0, 0, 0]\n\n  this._finalized = false\n}\n\ninherits(HashBase, Transform)\n\nHashBase.prototype._transform = function (chunk, encoding, callback) {\n  var error = null\n  try {\n    this.update(chunk, encoding)\n  } catch (err) {\n    error = err\n  }\n\n  callback(error)\n}\n\nHashBase.prototype._flush = function (callback) {\n  var error = null\n  try {\n    this.push(this.digest())\n  } catch (err) {\n    error = err\n  }\n\n  callback(error)\n}\n\nHashBase.prototype.update = function (data, encoding) {\n  throwIfNotStringOrBuffer(data, 'Data')\n  if (this._finalized) throw new Error('Digest already called')\n  if (!Buffer.isBuffer(data)) data = Buffer.from(data, encoding)\n\n  // consume data\n  var block = this._block\n  var offset = 0\n  while (this._blockOffset + data.length - offset >= this._blockSize) {\n    for (var i = this._blockOffset; i < this._blockSize;) block[i++] = data[offset++]\n    this._update()\n    this._blockOffset = 0\n  }\n  while (offset < data.length) block[this._blockOffset++] = data[offset++]\n\n  // update length\n  for (var j = 0, carry = data.length * 8; carry > 0; ++j) {\n    this._length[j] += carry\n    carry = (this._length[j] / 0x0100000000) | 0\n    if (carry > 0) this._length[j] -= 0x0100000000 * carry\n  }\n\n  return this\n}\n\nHashBase.prototype._update = function () {\n  throw new Error('_update is not implemented')\n}\n\nHashBase.prototype.digest = function (encoding) {\n  if (this._finalized) throw new Error('Digest already called')\n  this._finalized = true\n\n  var digest = this._digest()\n  if (encoding !== undefined) digest = digest.toString(encoding)\n\n  // reset state\n  this._block.fill(0)\n  this._blockOffset = 0\n  for (var i = 0; i < 4; ++i) this._length[i] = 0\n\n  return digest\n}\n\nHashBase.prototype._digest = function () {\n  throw new Error('_digest is not implemented')\n}\n\nmodule.exports = HashBase\n","'use strict'\n\nexports.randomBytes = exports.rng = exports.pseudoRandomBytes = exports.prng = require('randombytes')\nexports.createHash = exports.Hash = require('create-hash')\nexports.createHmac = exports.Hmac = require('create-hmac')\n\nvar algos = require('browserify-sign/algos')\nvar algoKeys = Object.keys(algos)\nvar hashes = ['sha1', 'sha224', 'sha256', 'sha384', 'sha512', 'md5', 'rmd160'].concat(algoKeys)\nexports.getHashes = function () {\n  return hashes\n}\n\nvar p = require('pbkdf2')\nexports.pbkdf2 = p.pbkdf2\nexports.pbkdf2Sync = p.pbkdf2Sync\n\nvar aes = require('browserify-cipher')\n\nexports.Cipher = aes.Cipher\nexports.createCipher = aes.createCipher\nexports.Cipheriv = aes.Cipheriv\nexports.createCipheriv = aes.createCipheriv\nexports.Decipher = aes.Decipher\nexports.createDecipher = aes.createDecipher\nexports.Decipheriv = aes.Decipheriv\nexports.createDecipheriv = aes.createDecipheriv\nexports.getCiphers = aes.getCiphers\nexports.listCiphers = aes.listCiphers\n\nvar dh = require('diffie-hellman')\n\nexports.DiffieHellmanGroup = dh.DiffieHellmanGroup\nexports.createDiffieHellmanGroup = dh.createDiffieHellmanGroup\nexports.getDiffieHellman = dh.getDiffieHellman\nexports.createDiffieHellman = dh.createDiffieHellman\nexports.DiffieHellman = dh.DiffieHellman\n\nvar sign = require('browserify-sign')\n\nexports.createSign = sign.createSign\nexports.Sign = sign.Sign\nexports.createVerify = sign.createVerify\nexports.Verify = sign.Verify\n\nexports.createECDH = require('create-ecdh')\n\nvar publicEncrypt = require('public-encrypt')\n\nexports.publicEncrypt = publicEncrypt.publicEncrypt\nexports.privateEncrypt = publicEncrypt.privateEncrypt\nexports.publicDecrypt = publicEncrypt.publicDecrypt\nexports.privateDecrypt = publicEncrypt.privateDecrypt\n\n// the least I can do is make error messages for the rest of the node.js/crypto api.\n// ;[\n//   'createCredentials'\n// ].forEach(function (name) {\n//   exports[name] = function () {\n//     throw new Error([\n//       'sorry, ' + name + ' is not implemented yet',\n//       'we accept pull requests',\n//       'https://github.com/crypto-browserify/crypto-browserify'\n//     ].join('\\n'))\n//   }\n// })\n\nvar rf = require('randomfill')\n\nexports.randomFill = rf.randomFill\nexports.randomFillSync = rf.randomFillSync\n\nexports.createCredentials = function () {\n  throw new Error([\n    'sorry, createCredentials is not implemented yet',\n    'we accept pull requests',\n    'https://github.com/crypto-browserify/crypto-browserify'\n  ].join('\\n'))\n}\n\nexports.constants = {\n  'DH_CHECK_P_NOT_SAFE_PRIME': 2,\n  'DH_CHECK_P_NOT_PRIME': 1,\n  'DH_UNABLE_TO_CHECK_GENERATOR': 4,\n  'DH_NOT_SUITABLE_GENERATOR': 8,\n  'NPN_ENABLED': 1,\n  'ALPN_ENABLED': 1,\n  'RSA_PKCS1_PADDING': 1,\n  'RSA_SSLV23_PADDING': 2,\n  'RSA_NO_PADDING': 3,\n  'RSA_PKCS1_OAEP_PADDING': 4,\n  'RSA_X931_PADDING': 5,\n  'RSA_PKCS1_PSS_PADDING': 6,\n  'POINT_CONVERSION_COMPRESSED': 2,\n  'POINT_CONVERSION_UNCOMPRESSED': 4,\n  'POINT_CONVERSION_HYBRID': 6\n}\n","var toString = {}.toString;\n\nmodule.exports = Array.isArray || function (arr) {\n  return toString.call(arr) == '[object Array]';\n};\n","var has = require('./_has');\nvar toIObject = require('./_to-iobject');\nvar arrayIndexOf = require('./_array-includes')(false);\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\n\nmodule.exports = function (object, names) {\n  var O = toIObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) if (key != IE_PROTO) has(O, key) && result.push(key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (has(O, key = names[i++])) {\n    ~arrayIndexOf(result, key) || result.push(key);\n  }\n  return result;\n};\n","module.exports = !require('./_descriptors') && !require('./_fails')(function () {\n  return Object.defineProperty(require('./_dom-create')('div'), 'a', { get: function () { return 7; } }).a != 7;\n});\n","module.exports = { \"default\": require(\"core-js/library/fn/object/assign\"), __esModule: true };","\"use strict\";\n\nexports.__esModule = true;\n\nvar _assign = require(\"../core-js/object/assign\");\n\nvar _assign2 = _interopRequireDefault(_assign);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = _assign2.default || function (target) {\n  for (var i = 1; i < arguments.length; i++) {\n    var source = arguments[i];\n\n    for (var key in source) {\n      if (Object.prototype.hasOwnProperty.call(source, key)) {\n        target[key] = source[key];\n      }\n    }\n  }\n\n  return target;\n};","// https://rwaldron.github.io/proposal-math-extensions/\nmodule.exports = Math.scale || function scale(x, inLow, inHigh, outLow, outHigh) {\n  if (\n    arguments.length === 0\n      // eslint-disable-next-line no-self-compare\n      || x != x\n      // eslint-disable-next-line no-self-compare\n      || inLow != inLow\n      // eslint-disable-next-line no-self-compare\n      || inHigh != inHigh\n      // eslint-disable-next-line no-self-compare\n      || outLow != outLow\n      // eslint-disable-next-line no-self-compare\n      || outHigh != outHigh\n  ) return NaN;\n  if (x === Infinity || x === -Infinity) return x;\n  return (x - inLow) * (outHigh - outLow) / (inHigh - inLow) + outLow;\n};\n","var forOf = require('./_for-of');\n\nmodule.exports = function (iter, ITERATOR) {\n  var result = [];\n  forOf(iter, false, result.push, result, ITERATOR);\n  return result;\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar classof = require('./_classof');\nvar from = require('./_array-from-iterable');\nmodule.exports = function (NAME) {\n  return function toJSON() {\n    if (classof(this) != NAME) throw TypeError(NAME + \"#toJSON isn't generic\");\n    return from(this);\n  };\n};\n","var getKeys = require('./_object-keys');\nvar toIObject = require('./_to-iobject');\nvar isEnum = require('./_object-pie').f;\nmodule.exports = function (isEntries) {\n  return function (it) {\n    var O = toIObject(it);\n    var keys = getKeys(O);\n    var length = keys.length;\n    var i = 0;\n    var result = [];\n    var key;\n    while (length > i) if (isEnum.call(O, key = keys[i++])) {\n      result.push(isEntries ? [key, O[key]] : O[key]);\n    } return result;\n  };\n};\n","// https://github.com/tc39/proposal-string-pad-start-end\nvar toLength = require('./_to-length');\nvar repeat = require('./_string-repeat');\nvar defined = require('./_defined');\n\nmodule.exports = function (that, maxLength, fillString, left) {\n  var S = String(defined(that));\n  var stringLength = S.length;\n  var fillStr = fillString === undefined ? ' ' : String(fillString);\n  var intMaxLength = toLength(maxLength);\n  if (intMaxLength <= stringLength || fillStr == '') return S;\n  var fillLen = intMaxLength - stringLength;\n  var stringFiller = repeat.call(fillStr, Math.ceil(fillLen / fillStr.length));\n  if (stringFiller.length > fillLen) stringFiller = stringFiller.slice(0, fillLen);\n  return left ? stringFiller + S : S + stringFiller;\n};\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-FlattenIntoArray\nvar isArray = require('./_is-array');\nvar isObject = require('./_is-object');\nvar toLength = require('./_to-length');\nvar ctx = require('./_ctx');\nvar IS_CONCAT_SPREADABLE = require('./_wks')('isConcatSpreadable');\n\nfunction flattenIntoArray(target, original, source, sourceLen, start, depth, mapper, thisArg) {\n  var targetIndex = start;\n  var sourceIndex = 0;\n  var mapFn = mapper ? ctx(mapper, thisArg, 3) : false;\n  var element, spreadable;\n\n  while (sourceIndex < sourceLen) {\n    if (sourceIndex in source) {\n      element = mapFn ? mapFn(source[sourceIndex], sourceIndex, original) : source[sourceIndex];\n\n      spreadable = false;\n      if (isObject(element)) {\n        spreadable = element[IS_CONCAT_SPREADABLE];\n        spreadable = spreadable !== undefined ? !!spreadable : isArray(element);\n      }\n\n      if (spreadable && depth > 0) {\n        targetIndex = flattenIntoArray(target, original, element, toLength(element.length), targetIndex, depth - 1) - 1;\n      } else {\n        if (targetIndex >= 0x1fffffffffffff) throw TypeError();\n        target[targetIndex] = element;\n      }\n\n      targetIndex++;\n    }\n    sourceIndex++;\n  }\n  return targetIndex;\n}\n\nmodule.exports = flattenIntoArray;\n","// all object keys, includes non-enumerable and symbols\nvar gOPN = require('./_object-gopn');\nvar gOPS = require('./_object-gops');\nvar anObject = require('./_an-object');\nvar Reflect = require('./_global').Reflect;\nmodule.exports = Reflect && Reflect.ownKeys || function ownKeys(it) {\n  var keys = gOPN.f(anObject(it));\n  var getSymbols = gOPS.f;\n  return getSymbols ? keys.concat(getSymbols(it)) : keys;\n};\n","// https://tc39.github.io/ecma262/#sec-toindex\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nmodule.exports = function (it) {\n  if (it === undefined) return 0;\n  var number = toInteger(it);\n  var length = toLength(number);\n  if (number !== length) throw RangeError('Wrong length!');\n  return length;\n};\n","'use strict';\nvar redefineAll = require('./_redefine-all');\nvar getWeak = require('./_meta').getWeak;\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar createArrayMethod = require('./_array-methods');\nvar $has = require('./_has');\nvar validate = require('./_validate-collection');\nvar arrayFind = createArrayMethod(5);\nvar arrayFindIndex = createArrayMethod(6);\nvar id = 0;\n\n// fallback for uncaught frozen keys\nvar uncaughtFrozenStore = function (that) {\n  return that._l || (that._l = new UncaughtFrozenStore());\n};\nvar UncaughtFrozenStore = function () {\n  this.a = [];\n};\nvar findUncaughtFrozen = function (store, key) {\n  return arrayFind(store.a, function (it) {\n    return it[0] === key;\n  });\n};\nUncaughtFrozenStore.prototype = {\n  get: function (key) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) return entry[1];\n  },\n  has: function (key) {\n    return !!findUncaughtFrozen(this, key);\n  },\n  set: function (key, value) {\n    var entry = findUncaughtFrozen(this, key);\n    if (entry) entry[1] = value;\n    else this.a.push([key, value]);\n  },\n  'delete': function (key) {\n    var index = arrayFindIndex(this.a, function (it) {\n      return it[0] === key;\n    });\n    if (~index) this.a.splice(index, 1);\n    return !!~index;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;      // collection type\n      that._i = id++;      // collection id\n      that._l = undefined; // leak store for uncaught frozen objects\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.3.3.2 WeakMap.prototype.delete(key)\n      // 23.4.3.3 WeakSet.prototype.delete(value)\n      'delete': function (key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME))['delete'](key);\n        return data && $has(data, this._i) && delete data[this._i];\n      },\n      // 23.3.3.4 WeakMap.prototype.has(key)\n      // 23.4.3.4 WeakSet.prototype.has(value)\n      has: function has(key) {\n        if (!isObject(key)) return false;\n        var data = getWeak(key);\n        if (data === true) return uncaughtFrozenStore(validate(this, NAME)).has(key);\n        return data && $has(data, this._i);\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var data = getWeak(anObject(key), true);\n    if (data === true) uncaughtFrozenStore(that).set(key, value);\n    else data[that._i] = value;\n    return that;\n  },\n  ufstore: uncaughtFrozenStore\n};\n","'use strict';\nvar each = require('./_array-methods')(0);\nvar redefine = require('./_redefine');\nvar meta = require('./_meta');\nvar assign = require('./_object-assign');\nvar weak = require('./_collection-weak');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar validate = require('./_validate-collection');\nvar WEAK_MAP = 'WeakMap';\nvar getWeak = meta.getWeak;\nvar isExtensible = Object.isExtensible;\nvar uncaughtFrozenStore = weak.ufstore;\nvar tmp = {};\nvar InternalMap;\n\nvar wrapper = function (get) {\n  return function WeakMap() {\n    return get(this, arguments.length > 0 ? arguments[0] : undefined);\n  };\n};\n\nvar methods = {\n  // 23.3.3.3 WeakMap.prototype.get(key)\n  get: function get(key) {\n    if (isObject(key)) {\n      var data = getWeak(key);\n      if (data === true) return uncaughtFrozenStore(validate(this, WEAK_MAP)).get(key);\n      return data ? data[this._i] : undefined;\n    }\n  },\n  // 23.3.3.5 WeakMap.prototype.set(key, value)\n  set: function set(key, value) {\n    return weak.def(validate(this, WEAK_MAP), key, value);\n  }\n};\n\n// 23.3 WeakMap Objects\nvar $WeakMap = module.exports = require('./_collection')(WEAK_MAP, wrapper, methods, weak, true, true);\n\n// IE11 WeakMap frozen keys fix\nif (fails(function () { return new $WeakMap().set((Object.freeze || Object)(tmp), 7).get(tmp) != 7; })) {\n  InternalMap = weak.getConstructor(wrapper, WEAK_MAP);\n  assign(InternalMap.prototype, methods);\n  meta.NEED = true;\n  each(['delete', 'has', 'get', 'set'], function (key) {\n    var proto = $WeakMap.prototype;\n    var method = proto[key];\n    redefine(proto, key, function (a, b) {\n      // store frozen objects on internal weakmap shim\n      if (isObject(a) && !isExtensible(a)) {\n        if (!this._f) this._f = new InternalMap();\n        var result = this._f[key](a, b);\n        return key == 'set' ? this : result;\n      // store all the rest on native weakmap\n      } return method.call(this, a, b);\n    });\n  });\n}\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar SET = 'Set';\n\n// 23.2 Set Objects\nmodule.exports = require('./_collection')(SET, function (get) {\n  return function Set() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.2.3.1 Set.prototype.add(value)\n  add: function add(value) {\n    return strong.def(validate(this, SET), value = value === 0 ? 0 : value, value);\n  }\n}, strong);\n","'use strict';\nvar dP = require('./_object-dp').f;\nvar create = require('./_object-create');\nvar redefineAll = require('./_redefine-all');\nvar ctx = require('./_ctx');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar $iterDefine = require('./_iter-define');\nvar step = require('./_iter-step');\nvar setSpecies = require('./_set-species');\nvar DESCRIPTORS = require('./_descriptors');\nvar fastKey = require('./_meta').fastKey;\nvar validate = require('./_validate-collection');\nvar SIZE = DESCRIPTORS ? '_s' : 'size';\n\nvar getEntry = function (that, key) {\n  // fast case\n  var index = fastKey(key);\n  var entry;\n  if (index !== 'F') return that._i[index];\n  // frozen object case\n  for (entry = that._f; entry; entry = entry.n) {\n    if (entry.k == key) return entry;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;         // collection type\n      that._i = create(null); // index\n      that._f = undefined;    // first entry\n      that._l = undefined;    // last entry\n      that[SIZE] = 0;         // size\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.1.3.1 Map.prototype.clear()\n      // 23.2.3.2 Set.prototype.clear()\n      clear: function clear() {\n        for (var that = validate(this, NAME), data = that._i, entry = that._f; entry; entry = entry.n) {\n          entry.r = true;\n          if (entry.p) entry.p = entry.p.n = undefined;\n          delete data[entry.i];\n        }\n        that._f = that._l = undefined;\n        that[SIZE] = 0;\n      },\n      // 23.1.3.3 Map.prototype.delete(key)\n      // 23.2.3.4 Set.prototype.delete(value)\n      'delete': function (key) {\n        var that = validate(this, NAME);\n        var entry = getEntry(that, key);\n        if (entry) {\n          var next = entry.n;\n          var prev = entry.p;\n          delete that._i[entry.i];\n          entry.r = true;\n          if (prev) prev.n = next;\n          if (next) next.p = prev;\n          if (that._f == entry) that._f = next;\n          if (that._l == entry) that._l = prev;\n          that[SIZE]--;\n        } return !!entry;\n      },\n      // 23.2.3.6 Set.prototype.forEach(callbackfn, thisArg = undefined)\n      // 23.1.3.5 Map.prototype.forEach(callbackfn, thisArg = undefined)\n      forEach: function forEach(callbackfn /* , that = undefined */) {\n        validate(this, NAME);\n        var f = ctx(callbackfn, arguments.length > 1 ? arguments[1] : undefined, 3);\n        var entry;\n        while (entry = entry ? entry.n : this._f) {\n          f(entry.v, entry.k, this);\n          // revert to the last existing entry\n          while (entry && entry.r) entry = entry.p;\n        }\n      },\n      // 23.1.3.7 Map.prototype.has(key)\n      // 23.2.3.7 Set.prototype.has(value)\n      has: function has(key) {\n        return !!getEntry(validate(this, NAME), key);\n      }\n    });\n    if (DESCRIPTORS) dP(C.prototype, 'size', {\n      get: function () {\n        return validate(this, NAME)[SIZE];\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var entry = getEntry(that, key);\n    var prev, index;\n    // change existing entry\n    if (entry) {\n      entry.v = value;\n    // create new entry\n    } else {\n      that._l = entry = {\n        i: index = fastKey(key, true), // <- index\n        k: key,                        // <- key\n        v: value,                      // <- value\n        p: prev = that._l,             // <- previous entry\n        n: undefined,                  // <- next entry\n        r: false                       // <- removed\n      };\n      if (!that._f) that._f = entry;\n      if (prev) prev.n = entry;\n      that[SIZE]++;\n      // add to index\n      if (index !== 'F') that._i[index] = entry;\n    } return that;\n  },\n  getEntry: getEntry,\n  setStrong: function (C, NAME, IS_MAP) {\n    // add .keys, .values, .entries, [@@iterator]\n    // 23.1.3.4, 23.1.3.8, 23.1.3.11, 23.1.3.12, 23.2.3.5, 23.2.3.8, 23.2.3.10, 23.2.3.11\n    $iterDefine(C, NAME, function (iterated, kind) {\n      this._t = validate(iterated, NAME); // target\n      this._k = kind;                     // kind\n      this._l = undefined;                // previous\n    }, function () {\n      var that = this;\n      var kind = that._k;\n      var entry = that._l;\n      // revert to the last existing entry\n      while (entry && entry.r) entry = entry.p;\n      // get next entry\n      if (!that._t || !(that._l = entry = entry ? entry.n : that._t._f)) {\n        // or finish the iteration\n        that._t = undefined;\n        return step(1);\n      }\n      // return step by kind\n      if (kind == 'keys') return step(0, entry.k);\n      if (kind == 'values') return step(0, entry.v);\n      return step(0, [entry.k, entry.v]);\n    }, IS_MAP ? 'entries' : 'values', !IS_MAP, true);\n\n    // add [@@species], 23.1.2.2, 23.2.2.2\n    setSpecies(NAME);\n  }\n};\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar MAP = 'Map';\n\n// 23.1 Map Objects\nmodule.exports = require('./_collection')(MAP, function (get) {\n  return function Map() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.1.3.6 Map.prototype.get(key)\n  get: function get(key) {\n    var entry = strong.getEntry(validate(this, MAP), key);\n    return entry && entry.v;\n  },\n  // 23.1.3.9 Map.prototype.set(key, value)\n  set: function set(key, value) {\n    return strong.def(validate(this, MAP), key === 0 ? 0 : key, value);\n  }\n}, strong, true);\n","var anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar newPromiseCapability = require('./_new-promise-capability');\n\nmodule.exports = function (C, x) {\n  anObject(C);\n  if (isObject(x) && x.constructor === C) return x;\n  var promiseCapability = newPromiseCapability.f(C);\n  var resolve = promiseCapability.resolve;\n  resolve(x);\n  return promiseCapability.promise;\n};\n","module.exports = function (exec) {\n  try {\n    return { e: false, v: exec() };\n  } catch (e) {\n    return { e: true, v: e };\n  }\n};\n","// 21.2.5.3 get RegExp.prototype.flags()\nif (require('./_descriptors') && /./g.flags != 'g') require('./_object-dp').f(RegExp.prototype, 'flags', {\n  configurable: true,\n  get: require('./_flags')\n});\n","'use strict';\nvar regexpExec = require('./_regexp-exec');\nrequire('./_export')({\n  target: 'RegExp',\n  proto: true,\n  forced: regexpExec !== /./.exec\n}, {\n  exec: regexpExec\n});\n","module.exports = function (done, value) {\n  return { value: value, done: !!done };\n};\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\n'use strict';\nvar toObject = require('./_to-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\n\nmodule.exports = [].copyWithin || function copyWithin(target /* = 0 */, start /* = 0, end = @length */) {\n  var O = toObject(this);\n  var len = toLength(O.length);\n  var to = toAbsoluteIndex(target, len);\n  var from = toAbsoluteIndex(start, len);\n  var end = arguments.length > 2 ? arguments[2] : undefined;\n  var count = Math.min((end === undefined ? len : toAbsoluteIndex(end, len)) - from, len - to);\n  var inc = 1;\n  if (from < to && to < from + count) {\n    inc = -1;\n    from += count - 1;\n    to += count - 1;\n  }\n  while (count-- > 0) {\n    if (from in O) O[to] = O[from];\n    else delete O[to];\n    to += inc;\n    from += inc;\n  } return O;\n};\n","var aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar toLength = require('./_to-length');\n\nmodule.exports = function (that, callbackfn, aLen, memo, isRight) {\n  aFunction(callbackfn);\n  var O = toObject(that);\n  var self = IObject(O);\n  var length = toLength(O.length);\n  var index = isRight ? length - 1 : 0;\n  var i = isRight ? -1 : 1;\n  if (aLen < 2) for (;;) {\n    if (index in self) {\n      memo = self[index];\n      index += i;\n      break;\n    }\n    index += i;\n    if (isRight ? index < 0 : length <= index) {\n      throw TypeError('Reduce of empty array with no initial value');\n    }\n  }\n  for (;isRight ? index >= 0 : length > index; index += i) if (index in self) {\n    memo = callbackfn(memo, self[index], index, O);\n  }\n  return memo;\n};\n","// call something on iterator step with safe closing on error\nvar anObject = require('./_an-object');\nmodule.exports = function (iterator, fn, value, entries) {\n  try {\n    return entries ? fn(anObject(value)[0], value[1]) : fn(value);\n  // 7.4.6 IteratorClose(iterator, completion)\n  } catch (e) {\n    var ret = iterator['return'];\n    if (ret !== undefined) anObject(ret.call(iterator));\n    throw e;\n  }\n};\n","// 20.2.2.16 Math.fround(x)\nvar sign = require('./_math-sign');\nvar pow = Math.pow;\nvar EPSILON = pow(2, -52);\nvar EPSILON32 = pow(2, -23);\nvar MAX32 = pow(2, 127) * (2 - EPSILON32);\nvar MIN32 = pow(2, -126);\n\nvar roundTiesToEven = function (n) {\n  return n + 1 / EPSILON - 1 / EPSILON;\n};\n\nmodule.exports = Math.fround || function fround(x) {\n  var $abs = Math.abs(x);\n  var $sign = sign(x);\n  var a, result;\n  if ($abs < MIN32) return $sign * roundTiesToEven($abs / MIN32 / EPSILON32) * MIN32 * EPSILON32;\n  a = (1 + EPSILON32 / EPSILON) * $abs;\n  result = a - (a - $abs);\n  // eslint-disable-next-line no-self-compare\n  if (result > MAX32 || result != result) return $sign * Infinity;\n  return $sign * result;\n};\n","// 20.2.2.20 Math.log1p(x)\nmodule.exports = Math.log1p || function log1p(x) {\n  return (x = +x) > -1e-8 && x < 1e-8 ? x - x * x / 2 : Math.log(1 + x);\n};\n","// 20.1.2.3 Number.isInteger(number)\nvar isObject = require('./_is-object');\nvar floor = Math.floor;\nmodule.exports = function isInteger(it) {\n  return !isObject(it) && isFinite(it) && floor(it) === it;\n};\n","var cof = require('./_cof');\nmodule.exports = function (it, msg) {\n  if (typeof it != 'number' && cof(it) != 'Number') throw TypeError(msg);\n  return +it;\n};\n","var $parseFloat = require('./_global').parseFloat;\nvar $trim = require('./_string-trim').trim;\n\nmodule.exports = 1 / $parseFloat(require('./_string-ws') + '-0') !== -Infinity ? function parseFloat(str) {\n  var string = $trim(String(str), 3);\n  var result = $parseFloat(string);\n  return result === 0 && string.charAt(0) == '-' ? -0 : result;\n} : $parseFloat;\n","var $parseInt = require('./_global').parseInt;\nvar $trim = require('./_string-trim').trim;\nvar ws = require('./_string-ws');\nvar hex = /^[-+]?0[xX]/;\n\nmodule.exports = $parseInt(ws + '08') !== 8 || $parseInt(ws + '0x16') !== 22 ? function parseInt(str, radix) {\n  var string = $trim(String(str), 3);\n  return $parseInt(string, (radix >>> 0) || (hex.test(string) ? 16 : 10));\n} : $parseInt;\n","// fast apply, http://jsperf.lnkit.com/fast-apply/5\nmodule.exports = function (fn, args, that) {\n  var un = that === undefined;\n  switch (args.length) {\n    case 0: return un ? fn()\n                      : fn.call(that);\n    case 1: return un ? fn(args[0])\n                      : fn.call(that, args[0]);\n    case 2: return un ? fn(args[0], args[1])\n                      : fn.call(that, args[0], args[1]);\n    case 3: return un ? fn(args[0], args[1], args[2])\n                      : fn.call(that, args[0], args[1], args[2]);\n    case 4: return un ? fn(args[0], args[1], args[2], args[3])\n                      : fn.call(that, args[0], args[1], args[2], args[3]);\n  } return fn.apply(that, args);\n};\n","'use strict';\nvar aFunction = require('./_a-function');\nvar isObject = require('./_is-object');\nvar invoke = require('./_invoke');\nvar arraySlice = [].slice;\nvar factories = {};\n\nvar construct = function (F, len, args) {\n  if (!(len in factories)) {\n    for (var n = [], i = 0; i < len; i++) n[i] = 'a[' + i + ']';\n    // eslint-disable-next-line no-new-func\n    factories[len] = Function('F,a', 'return new F(' + n.join(',') + ')');\n  } return factories[len](F, args);\n};\n\nmodule.exports = Function.bind || function bind(that /* , ...args */) {\n  var fn = aFunction(this);\n  var partArgs = arraySlice.call(arguments, 1);\n  var bound = function (/* args... */) {\n    var args = partArgs.concat(arraySlice.call(arguments));\n    return this instanceof bound ? construct(fn, args.length, args) : invoke(fn, args, that);\n  };\n  if (isObject(fn.prototype)) bound.prototype = fn.prototype;\n  return bound;\n};\n","// 7.2.9 SameValue(x, y)\nmodule.exports = Object.is || function is(x, y) {\n  // eslint-disable-next-line no-self-compare\n  return x === y ? x !== 0 || 1 / x === 1 / y : x != x && y != y;\n};\n","'use strict';\n// 19.1.2.1 Object.assign(target, source, ...)\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar $assign = Object.assign;\n\n// should work with symbols and should have deterministic property order (V8 bug)\nmodule.exports = !$assign || require('./_fails')(function () {\n  var A = {};\n  var B = {};\n  // eslint-disable-next-line no-undef\n  var S = Symbol();\n  var K = 'abcdefghijklmnopqrst';\n  A[S] = 7;\n  K.split('').forEach(function (k) { B[k] = k; });\n  return $assign({}, A)[S] != 7 || Object.keys($assign({}, B)).join('') != K;\n}) ? function assign(target, source) { // eslint-disable-line no-unused-vars\n  var T = toObject(target);\n  var aLen = arguments.length;\n  var index = 1;\n  var getSymbols = gOPS.f;\n  var isEnum = pIE.f;\n  while (aLen > index) {\n    var S = IObject(arguments[index++]);\n    var keys = getSymbols ? getKeys(S).concat(getSymbols(S)) : getKeys(S);\n    var length = keys.length;\n    var j = 0;\n    var key;\n    while (length > j) if (isEnum.call(S, key = keys[j++])) T[key] = S[key];\n  } return T;\n} : $assign;\n","// fallback for IE11 buggy Object.getOwnPropertyNames with iframe and window\nvar toIObject = require('./_to-iobject');\nvar gOPN = require('./_object-gopn').f;\nvar toString = {}.toString;\n\nvar windowNames = typeof window == 'object' && window && Object.getOwnPropertyNames\n  ? Object.getOwnPropertyNames(window) : [];\n\nvar getWindowNames = function (it) {\n  try {\n    return gOPN(it);\n  } catch (e) {\n    return windowNames.slice();\n  }\n};\n\nmodule.exports.f = function getOwnPropertyNames(it) {\n  return windowNames && toString.call(it) == '[object Window]' ? getWindowNames(it) : gOPN(toIObject(it));\n};\n","var dP = require('./_object-dp');\nvar anObject = require('./_an-object');\nvar getKeys = require('./_object-keys');\n\nmodule.exports = require('./_descriptors') ? Object.defineProperties : function defineProperties(O, Properties) {\n  anObject(O);\n  var keys = getKeys(Properties);\n  var length = keys.length;\n  var i = 0;\n  var P;\n  while (length > i) dP.f(O, P = keys[i++], Properties[P]);\n  return O;\n};\n","var has = require('./_has');\nvar toIObject = require('./_to-iobject');\nvar arrayIndexOf = require('./_array-includes')(false);\nvar IE_PROTO = require('./_shared-key')('IE_PROTO');\n\nmodule.exports = function (object, names) {\n  var O = toIObject(object);\n  var i = 0;\n  var result = [];\n  var key;\n  for (key in O) if (key != IE_PROTO) has(O, key) && result.push(key);\n  // Don't enum bug & hidden keys\n  while (names.length > i) if (has(O, key = names[i++])) {\n    ~arrayIndexOf(result, key) || result.push(key);\n  }\n  return result;\n};\n","exports.f = require('./_wks');\n","module.exports = !require('./_descriptors') && !require('./_fails')(function () {\n  return Object.defineProperty(require('./_dom-create')('div'), 'a', { get: function () { return 7; } }).a != 7;\n});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{ENV,keep,scalar,tidy,onesLike,tensor1d,util,where,zerosLike,train,cast,serialization,nextFrame,add,mul,div,Tensor,Optimizer,mean,io,transpose,reverse,concat,zeros,dispose,sum,split,neg,variable,ones,eye,randomUniform,truncatedNormal,randomNormal,sub,sqrt,mulStrict,clipByValue,relu,linalg,leakyRelu,elu,conv1d,conv2d,conv2dTranspose,separableConv2d,depthwiseConv2d,maximum,minimum,batchNormalization2d,batchNormalization3d,batchNormalization4d,moments,movingAverage,pad,maxPool,avgPool,squeeze,max,abs,log,softplus,softmax,floor,oneHot,exp,greater,equal,argMax,logicalAnd,slice1d,slice2d,slice3d,slice4d,concat1d,concat2d,concat3d,concat4d,tile,matMul,gather,step,min,selu,sigmoid,tanh}from\"@tensorflow/tfjs-core\";var extendStatics=function(e,t){return(extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])})(e,t)};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}var __assign=function(){return(__assign=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)};function __awaiter(e,t,n,r){return new(n||(n=Promise))(function(i,a){function o(e){try{l(r.next(e))}catch(e){a(e)}}function s(e){try{l(r.throw(e))}catch(e){a(e)}}function l(e){e.done?i(e.value):new n(function(t){t(e.value)}).then(o,s)}l((r=r.apply(e,t||[])).next())})}function __generator(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;o;)try{if(n=1,r&&(i=2&a[0]?r.return:a[0]?r.throw||((i=r.return)&&i.call(r),0):r.next)&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[2&a[0],i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var _epsilon=ENV.get(\"EPSILON\");function epsilon(){return _epsilon}function imageDataFormat(){return\"channelsLast\"}var _nextUniqueTensorId=0;function getNextUniqueTensorId(){return _nextUniqueTensorId++}var _uidPrefixes={};function getUid(e){return void 0===e&&(e=\"\"),e in _uidPrefixes||(_uidPrefixes[e]=0),_uidPrefixes[e]+=1,e+_uidPrefixes[e].toString()}var scalarCache={float32:{},int32:{}},DEFAULT_DTYPE=\"float32\";function getScalar(e,t){return void 0===t&&(t=DEFAULT_DTYPE),null==scalarCache[t][e]&&(scalarCache[t][e]=scalar(e,t),keep(scalarCache[t][e])),scalarCache[t][e]}var AttributeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),RuntimeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),ValueError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),NotImplementedError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),AssertionError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),IndexError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error);function pyListRepeat(e,t){if(Array.isArray(e)){for(var n=[],r=0;r<t;r++)n=n.concat(e);return n}return(n=new Array(t)).fill(e),n}function assert(e,t){if(!e)throw new AssertionError(t)}function count(e,t){for(var n=0,r=0,i=e;r<i.length;r++){i[r]===t&&n++}return n}function singletonOrArray(e){return 1===e.length?e[0]:e}function toList(e){return Array.isArray(e)?e:[e]}function toSnakeCase(e){var t=e.replace(/(.)([A-Z][a-z0-9]+)/g,\"$1_$2\").replace(/([a-z])([A-Z])/g,\"$1_$2\").toLowerCase();return\"_\"!==t[0]?t:\"private\"+t}function toCamelCase(e){return e.length<=1?e:-1===e.indexOf(\"_\")?e:e.replace(/[_]+(\\w|$)/g,function(e,t){return t.toUpperCase()})}var _GLOBAL_CUSTOM_OBJECTS={};function serializeKerasObject(e){return null===e||void 0===e?null:{className:e.getClassName(),config:e.getConfig()}}function deserializeKerasObject(e,t,n,r){if(void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r=\"object\"),\"string\"==typeof e){var i=e,a=void 0;if(i in n)a=n[i];else if(i in _GLOBAL_CUSTOM_OBJECTS)a=_GLOBAL_CUSTOM_OBJECTS[i];else if(null==(a=t[i]))throw new ValueError(\"Unknown \"+r+\": \"+e+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");return a}var o=e;if(null==o.className||null==o.config)throw new ValueError(r+\": Improper config format: \"+JSON.stringify(o)+\".\\n'className' and 'config' must set.\");var s=o.className,l=void 0,u=void 0;if(s in n?(l=(S=n.get(s))[0],u=S[1]):s in _GLOBAL_CUSTOM_OBJECTS?(l=(I=_GLOBAL_CUSTOM_OBJECTS.className)[0],u=I[1]):s in t&&(l=(N=t[s])[0],u=N[1]),null==l)throw new ValueError(\"Unknown \"+r+\": \"+s+\". This may be due to one of the following reasons:\\n1. The \"+r+\" is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.\\n2. The custom \"+r+\" is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().\");if(null!=u){for(var c={},p=0,h=Object.keys(_GLOBAL_CUSTOM_OBJECTS);p<h.length;p++){c[v=h[p]]=_GLOBAL_CUSTOM_OBJECTS[v]}for(var d=0,f=Object.keys(n);d<f.length;d++){c[v=f[d]]=n[v]}o.config.customObjects=c;for(var g=__assign({},_GLOBAL_CUSTOM_OBJECTS),m=0,y=Object.keys(n);m<y.length;m++){var v=y[m];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var b=u(l,o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},g),b}g=__assign({},_GLOBAL_CUSTOM_OBJECTS);for(var w=0,z=Object.keys(n);w<z.length;w++){v=z[w];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var S,I,N;b=new l(o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},g),b}function numberCompare(e,t){return e<t?-1:e>t?1:0}function reverseNumberCompare(e,t){return-1*numberCompare(e,t)}function stringToDType(e){switch(e){case\"float32\":return\"float32\";default:throw new ValueError(\"Invalid dtype: \"+e)}}function unique(e){if(null==e)return e;for(var t=[],n=0,r=e;n<r.length;n++){var i=r[n];-1===t.indexOf(i)&&t.push(i)}return t}function isObjectEmpty(e){if(null==e)throw new ValueError(\"Invalid value in obj: \"+JSON.stringify(e));for(var t in e)if(e.hasOwnProperty(t))return!1;return!0}function checkStringTypeUnionValue(e,t,n){if(null!=n&&e.indexOf(n)<0)throw new ValueError(n+\" is not a valid \"+t+\".  Valid values are \"+e+\" or null/undefined.\")}function checkArrayTypeAndLength(e,t,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),assert(n>=0),assert(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(function(e){return typeof e===t})}function calcL2Norms(e,t){return tidy(function(){return sqrt(sum(mulStrict(e,e),t,!0))})}var Constraint=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),MaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=clipByValue(n,0,t.maxValue);return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t.className=\"MaxNorm\",t}(Constraint);serialization.registerClass(MaxNorm);var UnitNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultAxis=0,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){return div(e,add(getScalar(epsilon()),calcL2Norms(e,t.axis)))})},t.prototype.getConfig=function(){return{axis:this.axis}},t.className=\"UnitNorm\",t}(Constraint);serialization.registerClass(UnitNorm);var NonNeg=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"NonNeg\",t}(Constraint);serialization.registerClass(NonNeg);var MinMaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=add(mul(getScalar(t.rate),clipByValue(n,t.minValue,t.maxValue)),mul(getScalar(1-t.rate),n));return mul(e,div(r,add(getScalar(epsilon()),n)))})},t.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t.className=\"MinMaxNorm\",t}(Constraint);serialization.registerClass(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function serializeConstraint(e){return serializeKerasObject(e)}function deserializeConstraint(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"constraint\")}function getConstraint(e){return null==e?null:\"string\"==typeof e?deserializeConstraint({className:e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP?CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Constraint?e:deserializeConstraint(e)}function maxNorm(e){return new MaxNorm(e)}function unitNorm(e){return new UnitNorm(e)}function nonNeg(){return new NonNeg}function minMaxNorm(e){return new MinMaxNorm(e)}var exports_constraints=Object.freeze({maxNorm:maxNorm,unitNorm:unitNorm,nonNeg:nonNeg,minMaxNorm:minMaxNorm}),nameMap=new Map,VALID_DATA_FORMAT_VALUES=[\"channelsFirst\",\"channelsLast\"];function checkDataFormat(e){checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES,\"DataFormat\",e)}var VALID_PADDING_MODE_VALUES=[\"valid\",\"same\",\"causal\"];function checkPaddingMode(e){checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES,\"PaddingMode\",e)}var VALID_POOL_MODE_VALUES=[\"max\",\"avg\"];function checkPoolMode(e){checkStringTypeUnionValue(VALID_POOL_MODE_VALUES,\"PoolMode\",e)}var _nameScopeStack=[],_nameScopeDivider=\"/\";function nameScope(e,t){_nameScopeStack.push(e);try{var n=t();return _nameScopeStack.pop(),n}catch(e){throw _nameScopeStack.pop(),e}}function currentNameScopePrefix(){return 0===_nameScopeStack.length?\"\":_nameScopeStack.join(_nameScopeDivider)+_nameScopeDivider}function getScopedTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");return currentNameScopePrefix()+e}function getUniqueTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");nameMap.has(e)||nameMap.set(e,0);var t=nameMap.get(e);if(nameMap.set(e,nameMap.get(e)+1),t>0){var n=e+\"_\"+t;return nameMap.set(n,1),n}return e}var tensorNameRegex=new RegExp(/^[A-Za-z][-A-Za-z0-9\\._\\/]*$/);function isValidTensorName(e){return!!e.match(tensorNameRegex)}function isInteger(e){return e===parseInt(e.toString(),10)}function arrayProd(e,t,n){null==t&&(t=0),null==n&&(n=e.length);for(var r=1,i=t;i<n;++i)r*=e[i];return r}function toArray1D(e){return e=Array.isArray(e)?new Float32Array(e):e,tensor1d(e)}function min$1(e){return min(toArray1D(e)).dataSync()[0]}function max$1(e){return max(toArray1D(e)).dataSync()[0]}function range(e,t){if(t<e)throw new ValueError(\"end (\"+t+\") < begin (\"+e+\") is forbidden.\");for(var n=[],r=e;r<t;++r)n.push(r);return n}function cast$1(e,t){return e.asType(t)}function expandDims(e,t){void 0===t&&(t=-1);var n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),e.reshape(n)}function repeat(e,t){return tidy(function(){if(2!==e.shape.length)throw new ValueError(\"repeat() expects a rank-2 tensor, but received a rank-\"+e.shape.length+\" tensor.\");return tile$1(expandDims(e,1),[1,t,1])})}function flatten(e){var t=[arrayProd(e.shape)];return e.reshape(t)}function batchFlatten(e){if(e.rank<=1)throw new ValueError(\"batchFlatten requires a minimum rank of 2. Got rank: \"+e.rank+\".\");var t=[e.shape[0],arrayProd(e.shape,1)];return e.reshape(t)}function sliceAlongFirstAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[t,0],[n,e.shape[1]]);case 3:return slice3d(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return slice4d(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);default:throw new ValueError(\"sliceAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongLastAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[0,t],[e.shape[0],n]);case 3:return slice3d(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return slice4d(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongAxis(e,t,n,r){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 3:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice3d(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 4:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice4d(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return slice4d(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function concatenate(e,t){var n;return void 0===t&&(t=-1),t<0&&(t=0!==(n=e[0].rank)?n:0),t===e[0].rank&&(t=-1),concat(e,t)}function concatAlongFirstAxis(e,t){switch(e.rank){case 1:return concat1d([e,t]);case 2:return concat2d([e,t],0);case 3:return concat3d([e,t],0);case 4:return concat4d([e,t],0);default:throw new ValueError(\"concatAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}}function tile$1(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new ValueError(\"The length of input n (\"+t.length+\") does not match the number of dimensions in input x (\"+e.rank+\")\");return tile(e,t)}function randomNormal$1(e,t,n,r,i){return void 0===t&&(t=0),void 0===n&&(n=1),randomNormal(e,t,n,r,i)}function dot(e,t){if(e.rank<2||t.rank<2)throw new NotImplementedError(\"dot requires both inputs to be rank >= 2 but got x shape = \"+e.shape+\" and y shape = \"+t.shape);if(t.rank>=3&&(r=e.shape.slice(-1)[0])!==(o=t.shape.slice(-2)[0]))throw new NotImplementedError(\"If rank y >= 3, then the second last dim of y must equal the last dim of x but got x shape = \"+e.shape+\" and  y shape = \"+t.shape);if(2===e.rank&&2===t.rank)return matMul(e,t);var n=e.shape.slice(),r=n.pop();e=e.reshape([-1,r]);var i=t.shape.slice(),a=i.pop(),o=i.pop(),s=i.concat([a]),l=Array.from({length:t.rank},function(e,n){return 0===n?t.rank-2:n<=t.rank-2?n-1:n});t=t.transpose(l).reshape([o,-1]);var u=n.concat(s);return matMul(e,t).reshape(u)}function gather$1(e,t,n){return tidy(function(){return t=Array.isArray(t)?tensor1d(t,\"int32\"):t.toInt(),gather(e,t,n)})}function square(e){return mulStrict(e,e)}function biasAdd(e,t,n){return tidy(function(){if(null==n&&(n=imageDataFormat()),checkDataFormat(n),1!==t.rank&&t.rank!==e.rank)throw new ValueError(\"Unexpected bias dimensions: \"+t.rank+\"; expected it to be 1 or \"+e.rank);var r,i=t.shape;if(5===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1,1])):e.add(t.reshape([1,i[3],i[0],i[1],i[2]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(4===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1])):e.add(t.reshape([1,i[2],i[0],i[1]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(3===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1])):e.add(t.reshape([1,i[1],i[0]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,i[0]])):e.add(t.reshape([1].concat(i))));else{if(!(e.rank<3))throw new ValueError(\"Unsupported input rank by biasAdd: \"+e.rank);r=e.add(t)}return r})}function elu$1(e,t){if(void 0===t&&(t=1),1!==t)throw new NotImplementedError(\"Support for alpha values other than 1 (\"+t+\") is not implemented yet.\");return elu(e)}function softsign(e){return tidy(function(){return div(e,add(getScalar(1),abs(e)))})}function dropout(e,t,n,r){return tidy(function(){if(null!=n&&!util.arraysEqual(e.shape,n))throw new NotImplementedError(\"Non-default noise shape is not implemented yet: \"+JSON.stringify(n));if(null!=r)throw new NotImplementedError(\"seed is not implemented for dropout yet.\");var i=step(add(neg(t),randomUniform(e.shape,0,1,\"float32\")));return i=mul(div(getScalar(1),sub(getScalar(1),t)),i),mul(e,i)})}function hardSigmoid(e){return tidy(function(){var t=add(getScalar(.5),mul(getScalar(.2),e));return clipByValue(t,0,1)})}function inTrainPhase(e,t,n){return void 0===n&&(n=!1),n?e():t()}var VALID_FAN_MODE_VALUES=[\"fanIn\",\"fanOut\",\"fanAvg\"];function checkFanMode(e){checkStringTypeUnionValue(VALID_FAN_MODE_VALUES,\"FanMode\",e)}var VALID_DISTRIBUTION_VALUES=[\"normal\",\"uniform\"];function checkDistribution(e){checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES,\"Distribution\",e)}var Initializer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.fromConfigUsesCustomObjects=function(){return!1},t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Zeros=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return zeros(e,t)},t.className=\"Zeros\",t}(Initializer);serialization.registerClass(Zeros);var Ones=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return ones(e,t)},t.className=\"Ones\",t}(Initializer);serialization.registerClass(Ones);var Constant=function(e){function t(t){var n=e.call(this)||this;if(\"object\"!=typeof t)throw new ValueError(\"Expected argument of type ConstantConfig but got \"+t);if(void 0===t.value)throw new ValueError(\"config must have value set but got \"+t);return n.value=t.value,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){return mul(scalar(n.value),ones(e,t))})},t.prototype.getConfig=function(){return{value:this.value}},t.className=\"Constant\",t}(Initializer);serialization.registerClass(Constant);var RandomUniform=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=t.minval||n.DEFAULT_MINVAL,n.maxval=t.maxval||n.DEFAULT_MAXVAL,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){return randomUniform(e,this.minval,this.maxval,t)},t.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t.className=\"RandomUniform\",t}(Initializer);serialization.registerClass(RandomUniform);var RandomNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"randomNormal does not support dType \"+t+\".\");return randomNormal$1(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"RandomNormal\",t}(Initializer);serialization.registerClass(RandomNormal);var TruncatedNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(\"truncatedNormal does not support dType \"+t+\".\");return truncatedNormal(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"TruncatedNormal\",t}(Initializer);serialization.registerClass(TruncatedNormal);var Identity=function(e){function t(t){var n=e.call(this)||this;return n.gain=null!=t.gain?scalar(t.gain):getScalar(1),n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length||e[0]!==e[1])throw new ValueError(\"Identity matrix initializer can only be used for 2D square matrices.\");return mul(n.gain,eye(e[0]))})},t.prototype.getConfig=function(){return{gain:this.gain.get()}},t.className=\"Identity\",t}(Initializer);function computeFans(e,t){var n,r;if(void 0===t&&(t=\"channelsLast\"),checkDataFormat(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if(\"channelsFirst\"===t){var i=arrayProd(e,2);n=e[1]*i,r=e[0]*i}else if(\"channelsLast\"===t){i=arrayProd(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var a=arrayProd(e);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}serialization.registerClass(Identity);var VarianceScaling=function(e){function t(t){var n=e.call(this)||this;if(t.scale<0)throw new ValueError(\"scale must be a positive float. Got: \"+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=t.mode,checkFanMode(n.mode),n.distribution=t.distribution,checkDistribution(n.distribution),n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=computeFans(e),r=n[0],i=n[1],a=this.scale;if(\"fanIn\"===this.mode?a/=Math.max(1,r):\"fanOut\"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),\"normal\"===this.distribution){var o=Math.sqrt(a);if(\"float32\"!==(t=t||\"float32\")&&\"int32\"!==t)throw new NotImplementedError(this.getClassName()+\" does not support dType \"+t+\".\");return truncatedNormal(e,0,o,t,this.seed)}var s=Math.sqrt(3*a);return randomUniform(e,-s,s,t)},t.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t.className=\"VarianceScaling\",t}(Initializer);serialization.registerClass(VarianceScaling);var GlorotUniform=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"GlorotUniform\",t}(VarianceScaling);serialization.registerClass(GlorotUniform);var GlorotNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"GlorotNormal\",t}(VarianceScaling);serialization.registerClass(GlorotNormal);var HeNormal=function(e){function t(t){return e.call(this,{scale:2,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"HeNormal\",t}(VarianceScaling);serialization.registerClass(HeNormal);var LeCunNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t.className=\"LeCunNormal\",t}(VarianceScaling);serialization.registerClass(LeCunNormal);var Orthogonal=function(e){function t(t){var n=e.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Random seed is not implemented for Orthogonal Initializer yet.\");return n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length)throw new NotImplementedError(\"The Orthogonal Initializer does not support non-2D shapes yet.\");e[0]*e[1]>2e3&&console.warn(\"Orthogonal initializer is being called on a matrix with more than 2000 (\"+e[0]*e[1]+\") elements: Slowness may result.\");var t=randomNormal$1(e[0]>e[1]?[e[1],e[0]]:e,0,1,\"float32\"),r=linalg.gramSchmidt(t);return e[0]>e[1]&&(r=r.transpose()),mul(getScalar(n.gain),r)})},t.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},t.className=\"Orthogonal\",t}(Initializer);serialization.registerClass(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function deserializeInitializer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"initializer\")}function serializeInitializer(e){return serializeKerasObject(e)}function getInitializer(e){if(\"string\"==typeof e){var t=e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e;return\"GlorotUniform\"===t?new GlorotUniform:\"GlorotNormal\"===t?new GlorotNormal:\"HeNormal\"===t?new HeNormal:\"LeCunNormal\"===t?new LeCunNormal:deserializeInitializer({className:t,config:{}})}return e instanceof Initializer?e:deserializeInitializer(e)}function zeros$1(){return new Zeros}function ones$1(){return new Ones}function constant(e){return new Constant(e)}function randomUniform$1(e){return new RandomUniform(e)}function randomNormal$2(e){return new RandomNormal(e)}function truncatedNormal$1(e){return new TruncatedNormal(e)}function identity(e){return new Identity(e)}function varianceScaling(e){return new VarianceScaling(e)}function glorotUniform(e){return new GlorotUniform(e)}function glorotNormal(e){return new GlorotNormal(e)}function heNormal(e){return new HeNormal(e)}function leCunNormal(e){return new LeCunNormal(e)}function orthogonal(e){return new Orthogonal(e)}var exports_initializers=Object.freeze({zeros:zeros$1,ones:ones$1,constant:constant,randomUniform:randomUniform$1,randomNormal:randomNormal$2,truncatedNormal:truncatedNormal$1,identity:identity,varianceScaling:varianceScaling,glorotUniform:glorotUniform,glorotNormal:glorotNormal,heNormal:heNormal,leCunNormal:leCunNormal,orthogonal:orthogonal});function isArrayOfShapes(e){return Array.isArray(e)&&Array.isArray(e[0])}function normalizeShapeList(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function getExactlyOneTensor(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new ValueError(\"Expected Tensor length to be 1; got \"+e.length);t=e[0]}else t=e;return t}function getExactlyOneShape(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new ValueError(\"Expected exactly 1 Shape; got \"+e.length)}return e}function countParamsInWeights(e){for(var t=0,n=0,r=e;n<r.length;n++){var i=r[n];0===i.shape.length?t+=1:t+=i.shape.reduce(function(e,t){return e*t})}return t}var DEFAULT_VARIABLE_NAME_PREFIX=\"Variable\",LayerVariable=function(){function e(e,t,n,r,i){void 0===t&&(t=\"float32\"),void 0===n&&(n=DEFAULT_VARIABLE_NAME_PREFIX),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==t?\"float32\":t,this.shape=e.shape,this.id=getNextUniqueTensorId(),n=null==n?DEFAULT_VARIABLE_NAME_PREFIX:n,this.originalName=getScopedTensorName(n),this.name=getUniqueTensorName(this.originalName),this.trainable=r,this.constraint=i,this.val=variable(e,this.trainable,this.name,this.dtype)}return e.prototype.read=function(){return this.assertNotDisposed(),this.val},e.prototype.write=function(e){return this.assertNotDisposed(),checkShapesMatch(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},e.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},e.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error(\"LayersVariable \"+this.name+\" is already disposed.\")},e}();function checkShapesMatch(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(e.shape)+\" vs. \"+JSON.stringify(t.shape))}function batchGetValue(e){return e.map(function(e){return e.read()})}function batchSetValue(e){e.map(function(e){e[0].write(e[1])})}var InputSpec=function(){return function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}(),SymbolicTensor=function(){return function(e,t,n,r,i,a,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=o,this.id=getNextUniqueTensorId(),null!=a&&(this.originalName=getScopedTensorName(a),this.name=getUniqueTensorName(this.originalName)),this.rank=t.length}}(),_nextNodeID=0,Node=function(){function e(e,t){this.callArgs=t,this.id=_nextNodeID++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n=0,r=e.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e=[],t=0,n=this.inboundLayers;t<n.length;t++){var r=n[t];null!=r?e.push(r.name):e.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),_nextLayerID=0,Layer=function(e){function t(t){var n=e.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=_nextLayerID++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var i=n.getClassName();r=toSnakeCase(i)+\"_\"+getUid(i)}if(n.name=r,n.trainable=null==t.trainable||t.trainable,n.updatable=null==t.updatable||t.updatable,null!=t.inputShape||null!=t.batchInputShape){var a=void 0;if(null!=t.batchInputShape)a=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),a=[o].concat(t.inputShape)}n.batchInputShape=a;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s=\"float32\"),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n}return __extends(t,e),t.nodeKey=function(e,t){return e.name+\"_ib-\"+t.toString()},t.prototype.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new RuntimeError(\"The layer has never been called and thus has no defined \"+t+\".\");if(this.inboundNodes.length<=e)throw new ValueError(\"Asked to get \"+t+\" at node \"+e+\", but the layer has only \"+this.inboundNodes.length+\" inbound nodes.\");return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"input\").inputTensors)},t.prototype.getOutputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"output\").outputTensors)},Object.defineProperty(t.prototype,\"input\",{get:function(){if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" is not connected, no input to return.\");return singletonOrArray(this.getNodeAtIndex(0,\"input\").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"output\",{get:function(){if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" has no inbound nodes.\");if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0,\"output\").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map(function(e){return e()})},Object.defineProperty(t.prototype,\"updates\",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"built\",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this._trainableWeights:[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this._nonTrainableWeights:this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"stateful\",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){if(!this.stateful)throw new Error(\"Cannot call the resetStates() method of a non-stateful Layer object.\")},t.prototype.assertInputCompatibility=function(e){if(e=toList(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=toList(this.inputSpec);if(e.length!==t.length)throw new ValueError(\"Layer \"+this.name+\" expects \"+t.length+\" inputs, but it received \"+e.length+\" input tensors. Input received: \"+e);for(var n=0;n<e.length;n++){var r=e[n],i=t[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected ndim=\"+i.ndim+\", found ndim=\"+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected max_ndim=\"+i.maxNDim+\", found ndim=\"+a);if(null!=i.minNDim&&a<i.minNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected min_ndim=\"+i.minNDim+\", found ndim=\"+a+\".\");if(null!=i.dtype&&r.dtype!==i.dtype)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\" : expected dtype=\"+i.dtype+\", found dtype=\"+r.dtype+\".\");if(i.axes){var o=r.shape;for(var s in i.axes){var l=Number(s),u=i.axes[s],c=l>=0?o[l]:o[o.length+l];if(null!=u&&-1===[u,null].indexOf(c))throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected axis \"+l+\" of input shape to have value \"+u+\" but got shape \"+o+\".\")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var h=i.shape[p],d=r.shape[p];if(null!=h&&null!=d&&h!==d)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected shape=\"+i.shape+\", found shape=${xShape}.\")}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{},this.assertNotDisposed();for(var r=toList(e),i=!0,a=0,o=r;a<o.length;a++){if(!(o[a]instanceof SymbolicTensor)){i=!1;break}}for(var s=!0,l=0,u=r;l<u.length;l++){if(u[l]instanceof SymbolicTensor){s=!1;break}}if(i===s)throw new ValueError(\"Arguments to apply() must be all SymbolicTensors or all Tensors\");return nameScope(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var i=[],a=0,o=toList(e);a<o.length;a++){var l=o[a];i.push(l.shape)}n.build(singletonOrArray(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&s&&(n._refCount=1)}if(n.assertInputCompatibility(e),s){for(var u=[],c=0,p=toList(g=n.call(e,t));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=h.clone()),u.push(h)}if(g=singletonOrArray(u),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return g}var d=collectInputShape(e),f=n.computeOutputShape(d),g=void 0,m=guessOutputDType(e);if(n.warnOnIncompatibleInputShape(Array.isArray(e)?d[0]:d),g=null!=f&&f.length>0&&Array.isArray(f[0])?f.map(function(r,i){return new SymbolicTensor(m,r,n,toList(e),t,n.name,i)}):new SymbolicTensor(m,f,n,toList(e),t,n.name),n.addInboundNode(e,g,null,null,d,f,t),n._refCount++,null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return g})},t.prototype.warnOnIncompatibleInputShape=function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn(\"The rank of the input tensor provided (shape: \"+JSON.stringify(e)+\") does not match that of the batchInputShape (\"+JSON.stringify(this.batchInputShape)+\") of the layer \"+this.name);else{var t=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)}),t&&console.warn(\"The shape of the input tensor (\"+JSON.stringify(e)+\") does not match the expectation of layer \"+this.name+\": \"+JSON.stringify(this.batchInputShape))}},Object.defineProperty(t.prototype,\"outputShape\",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new AttributeError(\"The layer \"+this.name+\" has never been called and thus has no defined output shape.\");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],i=JSON.stringify(r.outputShapes);-1===e.indexOf(i)&&e.push(i)}if(1===e.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new AttributeError(\"The layer \"+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of \"outut shape\" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new RuntimeError(\"You tried to call countParams() on \"+this.name+\", but the layer is not built yet. Build it first by calling build(batchInputShape).\");return countParamsInWeights(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),batchGetValue(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;tidy(function(){var n=t.weights;if(n.length!==e.length)throw new ValueError('You called setWeights(weights) on layer \"'+t.name+'\" with a weight list of length '+e.length+\", but the layer was expecting \"+n.length+\" weights. Provided weights: \"+e+\"...\");if(0!==n.length){for(var r=[],i=batchGetValue(n),a=0;a<i.length;++a){var o=i[a],s=n[a],l=e[a];if(!util.arraysEqual(o.shape,l.shape))throw new ValueError(\"Layer weight shape \"+o.shape+\" not compatible with provided weight shape \"+l.shape);r.push([s,l])}batchSetValue(r)}})},t.prototype.addWeight=function(e,t,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(e))throw new ValueError(\"Duplicate weight name \"+e+\" for layer \"+this.name);this._addedWeightNames.push(e),null==n&&(n=\"float32\");var s=new LayerVariable(r.apply(t,n),n,e,a,o);return null!=i&&this.addLoss(function(){return i.apply(s.read())}),null==a&&(a=!0),a?this._trainableWeights.push(s):this._nonTrainableWeights.push(s),s},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=toList(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError(\"Layer \"+this.name+\" does not support masking,but was passed an inputMask.\");t.forEach(function(e){if(null!=e)throw new TypeError(\"Layer \"+n.name+\" does not support masking,but was passed an inputMask.\")})}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,i,a,o){void 0===o&&(o=null);var s=toList(e);t=toList(t),n=toList(n),r=toList(r),i=normalizeShapeList(i),a=normalizeShapeList(a);for(var l=[],u=[],c=[],p=0,h=s;p<h.length;p++){var d=h[p];l.push(d.sourceLayer),u.push(d.nodeIndex),c.push(d.tensorIndex)}new Node({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var f=0;f<t.length;f++)t[f].sourceLayer=this,t[f].nodeIndex=this.inboundNodes.length-1,t[f].tensorIndex=f},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},t.prototype.disposeWeights=function(){return this.weights.forEach(function(e){return e.dispose()}),this.weights.length},t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Layer '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){if(!this.built)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been built yet.\");if(null===this._refCount)throw new Error(\"Cannot dispose Layer \"+this.name+\" because it has not been used yet.\");this.assertNotDisposed();var e=0;return 0==--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},t}(serialization.Serializable);function collectInputShape(e){for(var t=[],n=0,r=e=toList(e);n<r.length;n++){var i=r[n];t.push(i.shape)}return singletonOrArray(t)}function guessOutputDType(e){return\"float32\"}function getSourceInputs(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var o=0,s=getSourceInputs(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);o<s.length;o++){var l=s[o];-1===i.indexOf(l)&&i.push(l)}return i}var ModelLoggingVerbosity,InputLayer=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:getUid(\"input\").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new ValueError(\"Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.\");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new ValueError(\"An InputLayer should be passed either a `batchInputShape` or an `inputShape`.\");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new ValueError(\"Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.\");var i=t.dtype||\"float32\";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new SymbolicTensor(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Node({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return __extends(t,e),t.prototype.apply=function(e,t){throw new ValueError(\"Cannot pass any input to an InputLayer's apply() method. InputLayer name: \"+this.name)},t.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className=\"InputLayer\",t}(Layer);function Input(e){if(null==e.batchShape&&null==e.shape)throw new Error(\"Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.\");if(null!=e.batchShape&&null!=e.shape)throw new ValueError(\"Please provide either a `shape` or `batchShape` argument to Input, but not both.\");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n=\"float32\"),new InputLayer({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}function resolveScalarsInLogs(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:if(null==e)return[2];for(i in t=[],n=[],r=[],e)\"number\"!=typeof(a=e[i])&&(o=a,t.push(o.data()),n.push(i),r.push(o));return[4,Promise.all(t)];case 1:for(s=u.sent(),l=0;l<s.length;++l)e[n[l]]=s[l][0];return dispose(r),[2]}})})}function disposeTensorsInLogs(e){if(null!=e)for(var t in e){var n=e[t];\"number\"!=typeof n&&n.dispose()}}serialization.registerClass(InputLayer),function(e){e[e.SILENT=0]=\"SILENT\",e[e.VERBOSE=1]=\"VERBOSE\"}(ModelLoggingVerbosity||(ModelLoggingVerbosity={}));var BaseCallback=function(){function e(){this.validationData=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.setModel=function(e){},e}(),CallbackList=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}return e.prototype.append=function(e){this.callbacks.push(e)},e.prototype.setParams=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setParams(e)}},e.prototype.setModel=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setModel(e)}},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:return null==t&&(t={}),[4,resolveScalarsInLogs(t)];case 1:i.sent(),n=0,r=this.callbacks,i.label=2;case 2:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,5];case 3:i.sent(),i.label=4;case 4:return n++,[3,2];case 5:return[2]}})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainEnd(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e}(),ModelTrainingYielder=function(){function e(e){this.yieldEvery=e,this.batchCount=0,this.batchDurationsMillis=[],this.autoYieldEveryBatches=null,this.batchStartMillis=util.now()}return e.prototype.resolveOneTensorInLogs=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a;return __generator(this,function(o){switch(o.label){case 0:for(n in t=[],e)t.push(n);r=0,o.label=1;case 1:return r<t.length?(i=t[r],\"number\"==typeof(a=e[i])?[3,3]:[4,a.data()]):[3,4];case 2:return o.sent(),[3,4];case 3:return r++,[3,1];case 4:return[2]}})})},e.prototype.maybeYieldOnBatch=function(t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:return\"auto\"!==this.yieldEvery?[3,7]:(this.batchCount++,null!=this.autoYieldEveryBatches?[3,3]:[4,this.resolveOneTensorInLogs(t)]);case 1:return i.sent(),n=util.now(),[4,nextFrame()];case 2:return i.sent(),this.batchCount>e.SKIP_FIRST_BATCHES&&(this.batchDurationsMillis.push(n-this.batchStartMillis),this.batchDurationsMillis.length>=e.DECISION_BATCH_COUNT&&(r=this.batchDurationsMillis.reduce(function(e,t){return e+t})/this.batchDurationsMillis.length,this.autoYieldEveryBatches=Math.round(e.THRESHOLD_MILLIS/r),this.autoYieldEveryBatches<1&&(this.autoYieldEveryBatches=1))),this.batchStartMillis=util.now(),this.lastYieldBatchCount=this.batchCount,[3,6];case 3:return this.batchCount-this.lastYieldBatchCount>=this.autoYieldEveryBatches?[4,nextFrame()]:[3,6];case 4:return i.sent(),[4,this.resolveOneTensorInLogs(t)];case 5:i.sent(),this.lastYieldBatchCount=this.batchCount,i.label=6;case 6:return[3,9];case 7:return\"batch\"!==this.yieldEvery?[3,9]:[4,nextFrame()];case 8:i.sent(),i.label=9;case 9:return[2]}})})},e.prototype.maybeYieldOnEpoch=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){switch(e.label){case 0:return\"epoch\"!==this.yieldEvery?[3,2]:[4,nextFrame()];case 1:e.sent(),e.label=2;case 2:return[2]}})})},e.SKIP_FIRST_BATCHES=1,e.DECISION_BATCH_COUNT=2,e.THRESHOLD_MILLIS=16,e}(),BaseLogger=function(e){function t(t){var n=e.call(this)||this;return n.yieldEvery=t||\"auto\",n}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.autoYielder=new ModelTrainingYielder(this.yieldEvery),[2]})})},t.prototype.onEpochBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a=this;return __generator(this,function(o){switch(o.label){case 0:return[4,this.autoYielder.maybeYieldOnBatch(t)];case 1:for(i in o.sent(),null==t&&(t={}),e=null==t.size?0:t.size,this.seen+=e,n=function(n){var i=t[n];if(\"number\"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*e;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=getScalar(0),r.totals[n]=tidy(function(){return add(a.totals[n],mul(i,getScalar(e)))}),null!=o&&o.dispose()}},r=this,t)n(i);return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a,o=this;return __generator(this,function(s){switch(s.label){case 0:return[4,this.autoYielder.maybeYieldOnEpoch()];case 1:if(s.sent(),null!=t)for(e=function(e){if(null==n.totals[e])return\"continue\";\"number\"==typeof n.totals[e]?t[e]=n.totals[e]/n.seen:tidy(function(){t[e]=mul(div(getScalar(1),getScalar(o.seen)),o.totals[e]),o.totals[e].dispose(),keep(t[e])})},n=this,r=0,i=this.params.metrics;r<i.length;r++)a=i[r],e(a);return[2]}})})},t}(BaseCallback),History=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.epoch=[],this.history={},[2]})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){for(n in null==t&&(t={}),this.epoch.push(e),t)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(t[n]);return[2]})})},t.prototype.syncData=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:for(r in e=[],t=[],n=[],this.history)for(i=this.history[r],a=0;a<i.length;++a)\"number\"!=typeof i[a]&&(o=i[a],e.push(o.data()),t.push(r),n.push(a));return[4,Promise.all(e)];case 1:for(s=u.sent(),l=0;l<s.length;++l)this.history[t[l]][n[l]].dispose(),this.history[t[l]][n[l]]=s[l][0];return[2]}})})},t}(BaseCallback),CustomCallback=function(e){function t(t){var n=e.call(this)||this;return n.trainBegin=t.onTrainBegin,n.trainEnd=t.onTrainEnd,n.epochBegin=t.onEpochBegin,n.epochEnd=t.onEpochEnd,n.batchBegin=t.onBatchBegin,n.batchEnd=t.onBatchEnd,n}return __extends(t,e),t.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainBegin?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainBegin(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainEnd?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainEnd(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t}(BaseCallback);function standardizeCallbacks(e){return null==e?null:e instanceof BaseCallback?[e]:Array.isArray(e)&&e[0]instanceof BaseCallback?e:toList(e).map(function(e){return new CustomCallback(e)})}var CallbackConstructorRegistry=function(){function e(){}return e.registerCallbackConstructor=function(t,n){util.assert(t>=0&&Number.isInteger(t),\"Verbosity level is expected to be an integer >= 0, but got \"+t),e.checkForDuplicate(n),null==e.constructors[t]&&(e.constructors[t]=[]),e.constructors[t].push(n)},e.checkForDuplicate=function(t){for(var n in e.constructors){e.constructors[+n].forEach(function(e){if(e===t)throw new ValueError(\"Duplicate callback constructor.\")})}},e.clear=function(){e.constructors={}},e.createCallbacks=function(t){var n=[];for(var r in e.constructors){var i=+r;t>=i&&n.push.apply(n,e.constructors[i])}return n.map(function(e){return new e})},e.constructors={},e}();function configureCallbacks(e,t,n,r,i,a,o,s,l,u){var c=new History,p=[new BaseLogger(t)].concat(CallbackConstructorRegistry.createCallbacks(n));null!=e&&p.push.apply(p,e),p.push(c);var h=new CallbackList(p);return h.setParams({epochs:r,initialEpoch:i,samples:a,steps:o,batchSize:s,verbose:n,doValidation:l,metrics:u}),{callbackList:h,history:c}}function l2Normalize(e,t){return tidy(function(){var n=sum(square(e),t,!0),r=mul(scalar(epsilon()),onesLike(e)),i=sqrt(maximum(n,r));return div(e,i)})}function meanSquaredError(e,t){return tidy(function(){return mean(square(sub(t,e)),-1)})}function meanAbsoluteError(e,t){return tidy(function(){return mean(abs(sub(t,e)),-1)})}function meanAbsolutePercentageError(e,t){return tidy(function(){var n=sub(e,t),r=clipByValue(abs(e),epsilon(),Number.MAX_VALUE),i=abs(div(n,r));return mul(getScalar(100),mean(i,-1))})}function meanSquaredLogarithmicError(e,t){return tidy(function(){var n=getScalar(1),r=clipByValue(t,epsilon(),Number.MAX_VALUE),i=log(add(n,r)),a=clipByValue(e,epsilon(),Number.MAX_VALUE),o=log(add(n,a));return mean(square(sub(i,o)),-1)})}function squaredHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(square(i),-1)})}function hinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(i,-1)})}function categoricalHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=sum(mul(e,t),-1),a=max(mul(sub(r,e),t),-1);return maximum(n,add(r,sub(a,i)))})}function logcosh(e,t){return tidy(function(){var n=getScalar(Math.log(2)),r=sub(t,e),i=sub(add(r,softplus(mul(getScalar(-2),r))),n);return mean(i,-1)})}function categoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){if(n)t=softmax(t);else{var r=sum(t,t.shape.length-1,!0);t=div(t,r)}return t=clipByValue(t,epsilon(),1-epsilon()),neg(sum(mul(e.toFloat(),log(t)),t.shape.length-1))})}function sparseCategoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){var r=floor(flatten(e)).toInt(),i=t.shape;return categoricalCrossentropy(oneHot(r,i[i.length-1]).reshape(i),t,n)})}function sigmoidCrossEntropyWithLogits(e,t){return tidy(function(){var n=maximum(t,zerosLike(t)),r=mul(t,e),i=log(add(getScalar(1),exp(neg(abs(t)))));return add(sub(n,r),i)})}function binaryCrossentropy(e,t){return tidy(function(){var n;return n=clipByValue(t,epsilon(),1-epsilon()),n=log(div(n,sub(onesLike(n),n))),mean(sigmoidCrossEntropyWithLogits(e,n),-1)})}function kullbackLeiblerDivergence(e,t){return tidy(function(){var n=clipByValue(e,epsilon(),1),r=clipByValue(t,epsilon(),1);return sum(mul(e,log(div(n,r))),-1)})}function poisson(e,t){return tidy(function(){var n=log(add(getScalar(epsilon()),t));return mean(sub(t,mul(e,n)),-1)})}function cosineProximity(e,t){return tidy(function(){var n=l2Normalize(e,-1),r=l2Normalize(t,-1),i=mul(n,r);return neg(sum(i,-1))})}function get(e){var t={meanSquaredError:meanSquaredError,meanAbsoluteError:meanAbsoluteError,meanAbsolutePercentageError:meanAbsolutePercentageError,meanSquaredLogarithmicError:meanSquaredLogarithmicError,squaredHinge:squaredHinge,hinge:hinge,categoricalHinge:categoricalHinge,logcosh:logcosh,categoricalCrossentropy:categoricalCrossentropy,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy,binaryCrossentropy:binaryCrossentropy,kullbackLeiblerDivergence:kullbackLeiblerDivergence,poisson:poisson,cosineProximity:cosineProximity};if(\"string\"==typeof e){if(e in t)return t[e];var n=\"Unknown loss \"+e;throw e.toLowerCase().includes(\"softmaxcrossentropy\")&&(n=\"Unknown loss \"+e+'. Use \"categoricalCrossentropy\" as the string name for tf.losses.softmaxCrossEntropy'),new ValueError(n)}return e}function binaryAccuracy(e,t){return tidy(function(){var n=mul(getScalar(.5),onesLike(t)),r=cast$1(greater(t,n),e.dtype);return mean(equal(e,r),-1)})}function categoricalAccuracy(e,t){return tidy(function(){return cast$1(equal(argMax(e,-1),argMax(t,-1)),\"float32\")})}function truePositives(e,t){return tidy(function(){var n=getScalar(1);return logicalAnd(e.equal(n),t.equal(n)).sum().cast(\"float32\")})}function falseNegatives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(n),t.equal(r)).sum().cast(\"float32\")})}function falsePositives(e,t){return tidy(function(){var n=getScalar(1),r=getScalar(0);return logicalAnd(e.equal(r),t.equal(n)).sum().cast(\"float32\")})}function precision(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falsePositives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function recall(e,t){return tidy(function(){var n=getScalar(0),r=truePositives(e,t),i=falseNegatives(e,t),a=r.add(i);return where(greater(a,n),r.div(a),n).cast(\"float32\")})}function binaryCrossentropy$1(e,t){return binaryCrossentropy(e,t)}function sparseCategoricalAccuracy(e,t){throw new NotImplementedError}var mse$1=meanSquaredError,MSE$1=meanSquaredError,mae$1=meanAbsoluteError,MAE$1=meanAbsoluteError,mape$1=meanAbsolutePercentageError,MAPE$1=meanAbsolutePercentageError,categoricalCrossentropy$1=categoricalCrossentropy,cosine$1=cosineProximity,sparseCategoricalCrossentropy$1=sparseCategoricalCrossentropy;function get$1(e){var t={binaryAccuracy:binaryAccuracy,categoricalAccuracy:categoricalAccuracy,precision:precision,categoricalCrossentropy:categoricalCrossentropy$1,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy$1,mse:mse$1,MSE:MSE$1,mae:mae$1,MAE:MAE$1,mape:mape$1,MAPE:MAPE$1,cosine:cosine$1};if(\"string\"==typeof e&&e in t)return t[e];if(\"string\"!=typeof e&&null!=e)return e;throw new ValueError(\"Unknown metric \"+e)}function getOptimizer(e){var t={Adagrad:function(){return train.adagrad(.01)},Adadelta:function(){return train.adadelta(1,.95,epsilon())},Adam:function(){return train.adam(.001,.9,.999,epsilon())},Adamax:function(){return train.adamax(.002,.9,.999,epsilon(),0)},RMSProp:function(){return train.rmsprop(.001,.9,0,epsilon())},SGD:function(){return train.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new ValueError(\"Unknown Optimizer \"+e)}function printSummary(e,t,n,r){void 0===r&&(r=console.log);var i,a=isModelSequentialLike(e),o=[\"Layer (type)\",\"Output shape\",\"Param #\"];if(a?(t=t||65,n=n||[.45,.85,1]):(t=t||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(function(e){return Math.floor(t*e)})),!a)for(var s in o.push(\"Receives inputs\"),i=[],e.nodesByDepth)i.push.apply(i,e.nodesByDepth[s]);r(\"_\".repeat(t)),printRow(o,n,r),r(\"=\".repeat(t));for(var l=e.layers,u=0;u<l.length;++u)a?printLayerSummary(l[u],n,r):printLayerSummaryWithConnections(l[u],n,i,r),r((u===l.length-1?\"=\":\"_\").repeat(t));e.checkTrainableWeightsConsistency();var c=countTrainableParams(e),p=countParamsInWeights(e.nonTrainableWeights);r(\"Total params: \"+(c+p)),r(\"Trainable params: \"+c),r(\"Non-trainable params: \"+p),r(\"_\".repeat(t))}function countTrainableParams(e){return null!=e.collectedTrainableWeights?countParamsInWeights(e.collectedTrainableWeights):countParamsInWeights(e.trainableWeights)}function isModelSequentialLike(e){var t=!0,n=[],r=[];for(var i in e.nodesByDepth)n.push(e.nodesByDepth[i]);for(var a=0,o=n;a<o.length;a++){var s=o[a];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){t=!1;break}r.push.apply(r,s)}if(t)for(var l=0,u=e.layers;l<u.length;l++){for(var c=!1,p=0,h=u[l].inboundNodes;p<h.length;p++){var d=h[p];if(-1!==r.indexOf(d)){if(c){t=!1;break}c=!0}}if(!t)break}return t}function printRow(e,t,n){void 0===n&&(n=console.log);for(var r=\"\",i=0;i<e.length;++i)i>0&&(r=r.slice(0,r.length-1)+\" \"),r=(r+=e[i]).slice(0,t[i]),r+=\" \".repeat(t[i]-r.length);n(r)}function printLayerSummary(e,t,n){var r;try{r=JSON.stringify(e.outputShape)}catch(e){r=\"multiple\"}printRow([e.name+\" (\"+e.getClassName()+\")\",r,e.countParams().toString()],t,n)}function printLayerSummaryWithConnections(e,t,n,r){var i;try{i=JSON.stringify(e.outputShape)}catch(e){i=\"multiple\"}for(var a=[],o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(null!=n&&n.length>0&&-1===n.indexOf(l)))for(var u=0;u<l.inboundLayers.length;++u){var c=l.inboundLayers[u].name,p=l.nodeIndices[u],h=l.tensorIndices[u];a.push(c+\"[\"+p+\"][\"+h+\"]\")}}var d=e.name,f=e.getClassName(),g=0===a.length?\"\":a[0];printRow([d+\" (\"+f+\")\",i,e.countParams().toString(),g],t,r);for(u=1;u<a.length;++u)printRow([\"\",\"\",\"\",a[u]],t,r)}function deserialize(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"layer\")}function isArrayItemInputOrOutputName(e,t,n){return(\"inboundNodes\"===e||\"outputLayers\"===e||\"inputLayers\"===e)&&0===t&&\"string\"==typeof n}function convertPythonicToTs(e,t){if(null===e)return null;if(\"string\"==typeof e)return toCamelCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertPythonicToTs(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u];if(\"name\"===u&&\"string\"==typeof c)o[u]=c;else{var p=toCamelCase(u);o[p]=convertPythonicToTs(c,p)}}return o}function convertTsToPythonic(e,t){if(null===e||void 0===e)return null;if(\"string\"==typeof e)return toSnakeCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertTsToPythonic(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u],p=toSnakeCase(u);o[p]=\"name\"!==u&&\"className\"!==u||\"string\"!=typeof c?convertTsToPythonic(c,u):c}return o}var version=\"0.8.5\";function preprocessWeightsForLoading(e,t,n,r){if(!n.startsWith(\"2.\"))throw new ValueError(\"Unsupported Keras version in weights being loaded: \"+n);return t}function loadTensor(e,t,n){var r=stringToDType(e);return Tensor.make(t,{values:0===t.length?n:util.flatten(n)},r)}function loadWeightsFromJson(e,t,n){void 0===n&&(n=!1);for(var r=e.keras_version,i=e.backend,a=t.map(function(e){return e.name}),o={},s=0,l=t;s<l.length;s++){null!=(b=l[s]).name&&(null==o[b.name]&&(o[b.name]=[]),o[b.name].push(b))}for(var u=e.weights,c=[],p=0;p<a.length;++p){var h=a[p],d=u[h];null==d&&(d=[]);for(var f=[],g=0;g<d.length;++g){var m=d[g];f.push(new LayerVariable(loadTensor(m.dtype,m.shape,m.value)))}for(var y=0,v=o[h];y<v.length;y++){var b,w=(b=v[y]).weights;if((f=preprocessWeightsForLoading(b,f,r,i)).length!==w.length){if(!n)throw new ValueError(\"Layer #\"+p+' (named \"'+b.name+'\") expects '+w.length+\" weight(s), but the saved weights have \"+f.length+\" element(s).\");console.warn(\"Skipping loading of weights of layer \"+b.name+\" due to mismatch in number of weights: (\"+f.length+\" vs \"+w.length+\").\")}for(var z=0;z<f.length;++z)!n||util.arraysEqual(w[z].shape,f[z].shape)?c.push([w[z],f[z].read()]):console.warn(\"Skipping loading of weights for layer \"+b.name+\" due to mismatch in shape (\"+w[z].shape+\" vs \"+f[z].shape+\")\")}}batchSetValue(c)}function loadWeightsFromNamedTensorMap(e,t,n){void 0===n&&(n=!0);for(var r={},i=0,a=0,o=t;a<o.length;a++)for(var s=0,l=o[a].weights;s<l.length;s++){var u=l[s];if(null!=r[u.originalName])throw new ValueError(\"Duplicate weight name: \"+u.originalName);r[u.originalName]=u,i++}var c=[];for(var p in e){if(null!=r[p])c.push([r[p],e[p]]);else if(n)throw new ValueError(\"Provided weight data has no target variable: \"+p);delete r[p]}if(n){var h=[];for(var d in r)h.push(d);if(h.length>0)throw new ValueError(h.length+\" of \"+i+\" weights are not set: \"+h)}batchSetValue(c)}var Container=function(e){function t(n){var r=e.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=getUid(i)}if(r.supportsMasking=!1,r.trainable=!0,r.updatable=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],unique(r.inputs).length!==r.inputs.length)throw new ValueError(\"The list of inputs passed to the model is redundant. All inputs should only appear once. Found: \"+r.inputs.map(function(e){return e.name}));unique(r.outputs).length!==r.outputs.length&&console.warn(\"The list of outputs passed to the model is redundant. All outputs should only appear once. Found: \"+r.outputs.map(function(e){return e.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(A=o[a]).sourceLayer,l=A.nodeIndex,u=A.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(u)}for(var c=0,p=r.inputs;c<p.length;c++){s=(A=p[c]).sourceLayer,l=A.nodeIndex,u=A.tensorIndex;assert(0===l,\"input layer has >1 nodes\"),assert(0===u,\"input layer has >1 tensors\"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(l),r.inputLayersTensorIndices.push(u)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof InputLayer))throw new TypeError(\"Input layers to a Model must be InputLayer objects. Received inputs: \"+n.inputs+\". Input \"+h+\" (0-based) originates from layer type \"+s.getClassName()+\".\");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var d=0,f=r.outputLayers;d<f.length;d++){s=f[d];r.outputNames.push(s.name)}r.internalInputShapes=r.inputs.map(function(e){return e.shape}),r.internalOutputShapes=r.outputs.map(function(e){return e.shape});for(var g={},m={},y={},v={},b={},w=[],z=function(e,n,i,a,o,s){null!=a&&null!=o&&null!=s||(a=e.sourceLayer,o=e.nodeIndex,s=e.tensorIndex);var l=a.inboundNodes[o];if(-1!==i.indexOf(l))throw new RuntimeError(\"The tensor \"+e.name+' at layer \"'+a.name+'\" is part of a cycle.');if(-1===n.indexOf(l)){r.containerNodes.add(t.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(l)&&i.push(l);for(var u=l.inboundLayers.length,c=0;c<u;c++){var p=l.inputTensors[c],h=l.inboundLayers[c],d=l.nodeIndices[c],f=l.tensorIndices[c];z(p,n,i,h,d,f)}for(n.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);w.push(l)}},S=[],I=[],N=0,C=r.outputs;N<C.length;N++){var A=C[N];z(A,S,I)}for(var _=0,E=w.slice().reverse();_<E.length;_++){m[(K=E[_]).id]=K,K.id in g||(g[K.id]=0);var k=g[K.id],L=null==y[K.outboundLayer.id]?0:y[K.outboundLayer.id];k=Math.max(k,L),y[K.outboundLayer.id]=k,v[K.outboundLayer.id]=K.outboundLayer,g[K.id]=k;for(h=0;h<K.inboundLayers.length;h++){var x=K.inboundLayers[h],T=(l=K.nodeIndices[h],x.inboundNodes[l]),D=null==g[T.id]?0:g[T.id];g[T.id]=Math.max(k+1,D),m[T.id]=T}}var O={};for(var R in g){(k=g[R])in O||(O[k]=[]),O[k].push(m[R])}var M={};for(var P in y){(k=y[P])in M||(M[k]=[]),M[k].push(v[P])}var V=Object.keys(M).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);r.layers=[];for(var F=0,B=V;F<B.length;F++){var U=M[k=B[F]];U.sort(function(e,t){var n=b[e.id],r=b[t.id];return n<r?-1:n>r?1:0});for(var j=0,W=U;j<W.length;j++){s=W[j];r.layers.push(s)}}r.layersByDepth=M,V=Object.keys(O).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);for(var $=r.inputs.slice(),q=[],G=0,J=V;G<J.length;G++)for(var H=0,Z=O[k=J[G]];H<Z.length;H++){var K;if(null!=(s=(K=Z[H]).outboundLayer)){for(var Y=0,X=K.inputTensors;Y<X.length;Y++){A=X[Y];if(-1===$.indexOf(A))throw new RuntimeError(\"Graph disconnected: cannot obtain value for tensor \"+A+' at layer \"'+s.name+'\". The following previous layers were accessed without issue: '+q)}for(var Q=0,ee=K.outputTensors;Q<ee.length;Q++){A=ee[Q];$.push(A)}q.push(s.name)}}r.nodesByDepth=O;for(var te=r.layers.map(function(e){return e.name}),ne=function(e){var t=te.filter(function(t){return t===e}).length;if(1!==t)throw new RuntimeError('The name \"'+e+'\" is used '+t+\" times in the model. All layer names should be unique. Layer names: \"+JSON.stringify(te))},re=0,ie=te;re<ie.length;re++){ne(ie[re])}return r.outboundNodes=[],r.inboundNodes=[],new Node({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(e){return null}),outputMasks:r.outputs.map(function(e){return null}),inputShapes:r.inputs.map(function(e){return e.shape}),outputShapes:r.outputs.map(function(e){return e.shape})}),r.built=!0,r._refCount=1,r}return __extends(t,e),t.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error(\"Container '\"+this.name+\"' is already disposed.\")},t.prototype.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount)for(var t=0,n=this.layers;t<n.length;t++){var r=n[t];e.numDisposedVariables+=r.dispose().numDisposedVariables}return e.refCountAfterDispose=this._refCount,e},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(this._trainableWeights.length>0)throw new ValueError(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e=e.concat(r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.layers;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=!1),void 0===r&&(r=!0),n?loadWeightsFromNamedTensorMap(e,this.layers,r):loadWeightsFromJson(e,this.layers,t)},t.prototype.updatedConfig=function(){var e=this.getConfig();return{className:this.getClassName(),config:e,kerasVersion:\"tfjs-layers \"+version,backend:\"TensorFlow.js\"}},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=convertTsToPythonic(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=\"mask\"in t?toList(t.mask):pyListRepeat(null,e.length),n.runInternalGraph(e,r)[0]})},t.prototype.computeMask=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=null==t?pyListRepeat(null,e.length):toList(t),n.runInternalGraph(e,r)[1]})},t.prototype.computeOutputShape=function(e){var t=normalizeShapeList(e);if(t.length!==this.inputLayers.length)throw new ValueError(\"Invalid inputShape argument \"+e+\": model has \"+this.inputLayers.length+\" tensor inputs.\");for(var n={},r=0;r<t.length;r++){var i=this.inputLayers[r],a=t[r];n[I=i.name+\"_0_0\"]=a}var o=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);if(o.length>1)for(var s=0,l=o;s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){var h=p[c];i=h.outboundLayer;if(-1===this.inputLayers.map(function(e){return e.id}).indexOf(i.id)){for(var d=[],f=0;f<h.inboundLayers.length;f++){var g=h.inboundLayers[f],m=h.nodeIndices[f],y=h.tensorIndices[f],v=n[I=g.name+\"_\"+m+\"_\"+y];d.push(v)}var b=normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),w=i.inboundNodes.indexOf(h);for(f=0;f<b.length;f++){n[I=i.name+\"_\"+w+\"_\"+f]=b[f]}}}var z=[],S=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],w=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var I=i.name+\"_\"+w+\"_\"+y;S.push(I)}for(r=0;r<S.length;r++){var N=S[r];assert(N in n),z.push(n[N])}return singletonOrArray(z)},t.prototype.runInternalGraph=function(e,t){null==t&&(t=pyListRepeat(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=e[r],o=t[r];n[i.id]=[a,o]}for(var s=0,l=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){for(var h=p[c],d=h.outboundLayer,f=h.inputTensors,g=h.outputTensors,m=new Array,y=0,v=f;y<v.length;y++){(i=v[y]).id in n&&m.push(n[i.id])}if(m.length===f.length){var b={},w=void 0,z=void 0,S=void 0,I=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===m.length){var N=m[0],C=N[0],A=N[1];null==b.mask&&(b.mask=A),S=toList(d.call(C,b)),I=toList(d.computeMask(C,A)),w=[C],z=[A]}else w=m.map(function(e){return e[0]}),z=m.map(function(e){return e[1]}),null==b.mask&&(b.mask=z),S=toList(d.call(w,b)),I=toList(d.computeMask(w,z));if(d.activityRegularizer)throw new NotImplementedError(\"Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(r=0;r<g.length;++r){i=g[r],a=S[r],o=I[r];n[i.id]=[a,o]}}}for(var _=[],E=[],k=[],L=0,x=this.outputs;L<x.length;L++){assert((i=x[L]).id in n,\"Could not compute output \"+i.name+\" : \"+i.id);var T=n[i.id],D=T[0];o=T[1];k.push(D.shape),_.push(D),E.push(o)}return[_,E,k]},t.prototype.buildNodeConversionMap=function(e){for(var n,r={},i=0,a=this.layers;i<a.length;i++){var o=a[i];n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var l=t.nodeKey(o,s);this.containerNodes.has(l)&&(r[l]=n,n+=1)}}return r},t.prototype.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new ValueError(\"Was asked to retrieve layer at index \"+t+\", but model only has \"+this.layers.length+\" layer(s).\");return this.layers[t]}if(null==e)throw new ValueError(\"Provide either a layer name or layer index\");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===e)return i}throw new ValueError(\"No such layer: \"+e)},t.prototype.calculateLosses=function(){var e=this;return tidy(function(){for(var n=[],r=0,i=e.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=t.nodeKey(a,o);e.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n})},t.prototype.getConfig=function(){for(var e={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(b=a[i]).getClassName(),s=b.getConfig(),l=[],u=0;u<b.inboundNodes.length;u++){var c=b.inboundNodes[u],p=t.nodeKey(b,u),h={};if(this.containerNodes.has(p)){if(c.callArgs)try{JSON.stringify(c.callArgs),h=c.callArgs}catch(e){console.warn(\"Layer \"+b.name+\" was passed non-serializable keyword arguments: \"+c.callArgs+\". They will not be included in the serialized model (and thus will be missing at deserialization time).\"),h={}}if(c.inboundLayers.length>0){for(var d=[],f=0;f<c.inboundLayers.length;f++){var g=c.inboundLayers[f],m=c.nodeIndices[f],y=c.tensorIndices[f];null==(z=n[t.nodeKey(g,m)])&&(z=0),d.push([g.name,z,y,h])}l.push(d)}}}r.push({name:b.name,className:o,config:s,inboundNodes:l})}e.layers=r;var v=[];for(f=0;f<this.inputLayers.length;f++){var b=this.inputLayers[f];m=this.inputLayersNodeIndices[f],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){null!==(z=n[p])&&void 0!==z||(z=0);y=this.inputLayersTensorIndices[f];v.push([b.name,z,y])}}e.inputLayers=v;var w=[];for(f=0;f<this.outputLayers.length;f++){b=this.outputLayers[f],m=this.outputLayersNodeIndices[f],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){var z;null!==(z=n[p])&&void 0!==z||(z=0);y=this.outputLayersTensorIndices[f];w.push([b.name,z,y])}}return e.outputLayers=w,e},t.fromConfig=function(e,t){var n={},r={};function i(e,t){e.name in r?r[e.name].push(t):r[e.name]=[t]}function a(e,t){for(var r,a=[],o=0,s=t;o<s.length;o++){var l=s[o],u=l[0],c=l[1],p=l[2];if(3===l.length)r={};else{if(4!==l.length)throw new ValueError(\"Improperly formatted model config for layer \"+JSON.stringify(e)+\": \"+JSON.stringify(l));r=l[3]}if(!(u in n))return void i(e,t);var h=n[u];if(h.inboundNodes.length<=c)return void i(e,t);var d=h.inboundNodes[c];a.push(d.outputTensors[p])}a.length>0&&e.apply(singletonOrArray(a),r)}function o(e){var r=e.name,a=deserialize(e,null!=t.customObjects?t.customObjects:{});n[r]=a;for(var o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(l instanceof Array))throw new ValueError(\"Corrupted configuration, expected array for nodeData: \"+l);i(a,l)}}for(var s=t.name,l=t.layers,u=0,c=l;u<c.length;u++){o(d=c[u])}for(;!isObjectEmpty(r);)for(var p=0,h=l;p<h.length;p++){var d=h[p];if((_=n[d.name]).name in r){var f=r[_.name];delete r[_.name];for(var g=0,m=f;g<m.length;g++){a(_,m[g])}}}for(var y=[],v=[],b=0,w=t.inputLayers;b<w.length;b++){var z=(d=w[b])[0],S=d[1],I=d[2];assert(z in n);var N=(_=n[z]).inboundNodes[S].outputTensors;y.push(N[I])}for(var C=0,A=t.outputLayers;C<A.length;C++){z=(d=A[C])[0],S=d[1],I=d[2];assert(z in n);var _;N=(_=n[z]).inboundNodes[S].outputTensors;v.push(N[I])}return new e({inputs:y,outputs:v,name:s})},Object.defineProperty(t.prototype,\"stateful\",{get:function(){if(this._stateful)throw new ValueError(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(var e=0,t=this.layers;e<t.length;e++){if(t[e].stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;tidy(function(){e.layers.forEach(function(e){e.stateful&&e.resetStates()})})},t}(Layer);function assertFeedCompatibility(e,t){if(null!=e.shape){if(e.shape.length!==t.shape.length)throw new ValueError(\"The rank of feed (\"+t.shape.length+\") does not match the rank of the key (\"+e.shape.length+\").\");for(var n=0;n<e.shape.length;++n)if(null!=e.shape[n]&&e.shape[n]!==t.shape[n])throw new ValueError(\"The \"+n+\"-th dimension of the feed (\"+t.shape[n]+\") is incompatible with that of the key (\"+e.shape[n]+\").\")}if(null==e.dtype||e.dtype===t.dtype)return t;try{return cast(t,e.dtype)}catch(n){throw new ValueError(\"The dtype of the feed (\"+t.dtype+\") can not be cast to the dtype of the key '\"+e.name+\"' (\"+e.dtype+\").\")}}var FeedDict=function(){function e(t){if(this.id2Value={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n];else{if(null==t)return;for(var r=0,i=t;r<i.length;r++){var a=i[r];this.add(a.key,a.value)}}}return e.prototype.add=function(e,t){if(null!=this.id2Value[e.id])throw new ValueError(\"Duplicate key: name=\"+e.name+\", id=\"+e.id);return this.id2Value[e.id]=assertFeedCompatibility(e,t),this},e.prototype.addFeed=function(e){this.add(e.key,e.value)},e.prototype.hasKey=function(e){return null!=this.id2Value[e.id]},e.prototype.getValue=function(e){if(null==this.id2Value[e.id])throw new ValueError(\"Nonexistent key: \"+JSON.stringify(e));return this.id2Value[e.id]},e}();function execute(e,t,n){for(var r=Array.isArray(e),i=r?e:[e],a=[],o=new FeedDict(t),s=0,l=i;s<l.length;s++){var u=l[s];a.push(executeInternal(u,o,n))}return r?a:a[0]}function executeInternal(e,t,n){if(t.hasKey(e))return t.getValue(e);if(e.sourceLayer instanceof InputLayer)throw new ValueError(\"Missing a feed value for SymbolicTensor from InputLayer '\"+InputLayer.name+\"'\");for(var r=[],i=0,a=e.inputs;i<a.length;i++){var o=executeInternal(a[i],t,n);r.push(o)}var s=e.sourceLayer.apply(r,n);Array.isArray(s)||(s=[s]);for(var l=getNodeOutputs(e),u=Array.isArray(l)?l:[l],c=0;c<u.length;++c)t.add(u[c],s[c]);return 1===s.length?s[0]:s[e.outputTensorIndex]}function getNodeOutputs(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r)for(var i=0,a=e.sourceLayer.inboundNodes[r].outputTensors;i<a.length;i++){if(a[i].id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}var DEFAULT_VALIDATION_BATCH_SIZE=32;function standardizeDataIteratorOutput(e,t){if(e.outputs.length>1)throw new NotImplementedError(\"Support for training a model with multiple output tensors with a dataset object is not implemented yet.\");util.assert(Array.isArray(t)&&2===t.length,\"Dataset iterator for fitDataset() is expected to generate an Array of length 2: `[xs, ys]`, but instead generates \"+t);var n=(t=t)[1],r=t[0];if(r instanceof Tensor)return util.assert(1===e.inputs.length,\"Model has multiple \"+e.inputs.length+\" inputs, hence it expects the input dataset to generate a dictionary of tensors  (with keys \"+JSON.stringify(e.inputNames)+\", but received a single tensor.\"),util.assert(r.shape[0]===n.shape[0],\"Mismatch in batch size between x and y tensors (\"+r.shape[0]+\" vs. \"+n.shape[0]+\")\"),[r,n];var i=void 0;r=r;for(var a=[],o=0,s=e.inputNames;o<s.length;o++){var l=s[o];if(null==r[l])throw new ValueError(\"The feature data generated by the dataset lacks the required input key '\"+l+\"'.\");a.push(r[l]),null==i?i=r[l].shape[0]:util.assert(r[l].shape[0]===i,\"Mismatch in batch size between x and y tensors (\"+r[l].shape[0]+\" vs. \"+n.shape[0]+\")\")}return a.concat(n)}function standardizeTensorValidationData(e){if(3===e.length)throw new NotImplementedError(\"Validation with sample weights is not implemented yet.\");return{xs:e[0],ys:e[1]}}function fitDataset(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h,d,f,g,m,y,v,b,w,z,S,I,N,C,A,_,E;return __generator(this,function(k){switch(k.label){case 0:if(r=null!=n.batchesPerEpoch,util.assert(null!=e.optimizer,\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\"),util.assert(null!=n,\"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call.\"),util.assert(null!=n.epochs&&n.epochs>0&&Number.isInteger(n.epochs),\"For fitDataset(), config.epochs is expected to be a positive integer, but got \"+n.epochs),util.assert(!r||n.batchesPerEpoch>0&&Number.isInteger(n.batchesPerEpoch),\"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got \"+n.batchesPerEpoch),util.assert(null==n.validationSplit,\"`validationSplit` is not supported by `fitDataset()`. Use validationData instead.\"),e.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");e.isTraining=!0,k.label=1;case 1:return k.trys.push([1,,21,22]),i=null!=n.validationData,a=void 0,o=void 0,i&&(isDatasetObject(n.validationData)?util.assert(null==n.validationBatches||n.validationBatches>0&&Number.isInteger(n.validationBatches),\"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got \"+n.validationBatches):(s=standardizeTensorValidationData(n.validationData),a=s.xs,o=s.ys)),l=e.makeTrainFunction(),u=e.getDedupedMetricsNames(),c=void 0,c=i?u.slice().concat(u.map(function(e){return\"val_\"+e})):u.slice(),p=standardizeCallbacks(n.callbacks),h=configureCallbacks(p,n.yieldEvery,n.verbose,n.epochs,null,null,n.batchesPerEpoch,null,i,c),d=h.callbackList,f=h.history,e.history=f,[4,d.onTrainBegin()];case 2:return k.sent(),g=null==n.initialEpoch?0:n.initialEpoch,m={},[4,t.iterator()];case 3:y=k.sent(),k.label=4;case 4:return g<n.epochs?[4,d.onEpochBegin(g)]:[3,18];case 5:return k.sent(),v=0,b=0,r?[3,7]:[4,t.iterator()];case 6:y=k.sent(),k.label=7;case 7:return!r||v<n.batchesPerEpoch?[4,y.next()]:[3,16];case 8:if(w=k.sent(),r&&w.done)return console.warn(\"You provided `batchesPerEpoch` as \"+n.batchesPerEpoch+\", but your dataset iterator ran out of data after \"+v+\" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, \"+n.batchesPerEpoch*n.epochs+\" batches). You may need to use the repeat() function when building your dataset.\"),[3,16];if(null==w.value)return[3,10];for(z=standardizeDataIteratorOutput(e,w.value),(S={}).batch=b,S.size=z[0].shape[0],d.onBatchBegin(b,S),I=l(z),dispose(z),E=0;E<u.length;++E)N=u[E],C=I[E],S[N]=C,keep(C);return[4,d.onBatchEnd(b,S)];case 9:k.sent(),disposeTensorsInLogs(S),b++,v++,k.label=10;case 10:return(r?v>=n.batchesPerEpoch:w.done)?i?(A=void 0,isDatasetObject(n.validationData)?(_=toList,[4,e.evaluateDataset(n.validationData,{batches:n.validationBatches})]):[3,12]):[3,14]:[3,15];case 11:return A=_.apply(void 0,[k.sent()]),[3,13];case 12:A=toList(e.evaluate(a,o,{batchSize:null==n.validationBatchSize?DEFAULT_VALIDATION_BATCH_SIZE:n.validationBatchSize,verbose:0})),k.label=13;case 13:for(E=0;E<e.metricsNames.length;++E)m[\"val_\"+e.metricsNames[E]]=A[E];k.label=14;case 14:return[3,16];case 15:return e.stopTraining_?[3,16]:[3,7];case 16:return[4,d.onEpochEnd(g,m)];case 17:return k.sent(),g++,e.stopTraining_?[3,18]:[3,4];case 18:return[4,d.onTrainEnd()];case 19:return k.sent(),[4,e.history.syncData()];case 20:return k.sent(),[2,e.history];case 21:return e.isTraining=!1,[7];case 22:return[2]}})})}function isDatasetObject(e){return\"function\"==typeof e.iterator}function isLazyIteratorObject(e){return\"function\"==typeof e.next}function evaluateDataset(e,t,n){return __awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h;return __generator(this,function(d){switch(d.label){case 0:if(r=null!=n.batches,i=e.testFunction,a=[],n.verbose>0)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");return util.assert(!r||n.batches>0&&Number.isInteger(n.batches),\"Test loop expects `batches` to be a positive integer, but received \"+JSON.stringify(n.batches)),isLazyIteratorObject(t)?(s=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:s=d.sent(),d.label=3;case 3:o=s,l=0,u=0,c=function(){var t,s,c,p,h,d;return __generator(this,function(f){switch(f.label){case 0:return[4,o.next()];case 1:if((t=f.sent()).value){if(s=standardizeDataIteratorOutput(e,t.value),c=tidy(function(){return i(s)}),dispose(s),0===u)for(d=0;d<c.length;++d)a.push(getScalar(0));for(p=s[0].shape[0],h=function(e){var t=c[e],n=a[e];a[e]=tidy(function(){return add(a[e],mul(getScalar(p),t))}),u>0&&dispose(n)},d=0;d<c.length;++d)h(d);dispose(c),l+=p,++u}return t.done?(r&&console.warn(\"Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` batches (in this case, \"+n.batches+\" batches). You may need to use the repeat() function when building your dataset.\"),[2,\"break\"]):[2]}})},d.label=4;case 4:return!r||u<n.batches?[5,c()]:[3,6];case 5:return\"break\"===d.sent()?[3,6]:[3,4];case 6:for(p=function(e){var t=a[e];a[e]=tidy(function(){return div(a[e],getScalar(l))}),dispose(t)},h=0;h<a.length;++h)p(h);return[2,singletonOrArray(a)]}})})}function checkBatchSize(e){util.assert(e>0&&Number.isInteger(e),\"batchSize is required to be a positive integer, but got \"+e)}function sliceArrays(e,t,n){return null==e?[null]:Array.isArray(e)?e.map(function(e){return sliceAlongFirstAxis(e,t,n-t)}):sliceAlongFirstAxis(e,t,n-t)}function sliceArraysByIndices(e,t){return tidy(function(){return null==e?null:Array.isArray(e)?e.map(function(e){return sliceArraysByIndices(e,t)}):gather$1(e,\"int32\"===t.dtype?t:t.toInt())})}function makeBatches(e,t){for(var n=[],r=0,i=null;r<e;)(i=r+t)>=e&&(i=e),n.push([r,i]),r=i;return n}function fitLoop(e,t,n,r,i,a,o,s,l,u,c,p,h,d,f,g){return __awaiter(this,void 0,void 0,function(){var m,y,v,b,w,z,S,I;return __generator(this,function(N){switch(N.label){case 0:if(null==i&&(i=32),null==a&&(a=1),null==c&&(c=!0),null==h&&(h=0),m=!1,null!=l&&null!=u&&(m=!0),null!=f&&(m=!0,null==d))throw new ValueError(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");return null!=(y=e.checkNumSamples(n,i,d,\"steps_per_epoch\"))&&(v=range(0,y)),null==o&&(o=1),b=configureCallbacks(s,g,o,a,h,y,d,i,m,p),w=b.callbackList,z=b.history,w.setModel(e),e.history=z,[4,w.onTrainBegin()];case 1:N.sent(),e.stopTraining_=!1,S=function(a){var o,s,p,h,f;return __generator(this,function(g){switch(g.label){case 0:return[4,w.onEpochBegin(a)];case 1:if(g.sent(),o={},null==d)return[3,2];throw new NotImplementedError(\"stepsPerEpoch mode is not implemented yet.\");case 2:if(\"batch\"===c)throw new NotImplementedError(\"batch shuffling is not implemneted yet\");c&&util.shuffle(v),s=tensor1d(v),p=makeBatches(y,i),h=function(a){var c;return __generator(this,function(h){switch(h.label){case 0:return c={},[4,w.onBatchBegin(a,c)];case 1:return h.sent(),tidy(function(){var h=p[a][0],d=p[a][1],f=sliceAlongFirstAxis(s,h,d-h);c.batch=a,c.size=d-h;for(var g=sliceArraysByIndices(n,f),y=t(g),v=0;v<r.length;++v){var b=r[v],w=y[v];c[b]=w,keep(w)}if(a===p.length-1&&m){var z=e.testLoop(l,u,i);for(v=0;v<r.length;++v){b=r[v],w=z[v];keep(w),o[\"val_\"+b]=w}}}),[4,w.onBatchEnd(a,c)];case 2:return h.sent(),disposeTensorsInLogs(c),e.stopTraining_?[2,\"break\"]:[2]}})},f=0,g.label=3;case 3:return f<p.length?[5,h(f)]:[3,6];case 4:if(\"break\"===g.sent())return[3,6];g.label=5;case 5:return++f,[3,3];case 6:s.dispose(),g.label=7;case 7:return[4,w.onEpochEnd(a,o)];case 8:return g.sent(),e.stopTraining_?[2,\"break\"]:[2]}})},I=h,N.label=2;case 2:return I<a?[5,S(I)]:[3,5];case 3:if(\"break\"===N.sent())return[3,5];N.label=4;case 4:return++I,[3,2];case 5:return[4,w.onTrainEnd()];case 6:return N.sent(),[4,e.history.syncData()];case 7:return N.sent(),[2,e.history]}})})}function fitTensors(e,t,n,r){return void 0===r&&(r={}),__awaiter(this,void 0,void 0,function(){var i,a,o,s,l,u,c,p,h,d,f,g,m,y,v,b,w,z,S,I;return __generator(this,function(N){switch(N.label){case 0:if(e.isTraining)throw new Error(\"Cannot start training because another fit() call is ongoing.\");e.isTraining=!0,N.label=1;case 1:if(N.trys.push([1,,3,4]),checkBatchSize(c=null==r.batchSize?32:r.batchSize),p=e.standardizeUserData(t,n,!1,c),i=p[0],a=p[1],h=!1,d=void 0,null!=r.validationData&&r.validationData.length>0){if(h=!0,2!==r.validationData.length)throw 3===r.validationData.length?new NotImplementedError(\"validationData including sample weights is not supported yet.\"):new ValueError(\"When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; \"+r.validationData+\" is invalid.\");o=r.validationData[0],s=r.validationData[1],f=e.standardizeUserData(o,s,!0,c),l=f[0],u=f[1],d=l.concat(u)}else null!=r.validationSplit&&r.validationSplit>0&&r.validationSplit<1?(h=!0,g=Math.floor(i[0].shape[0]*(1-r.validationSplit)),m=i[0].shape[0],l=sliceArrays(i,g,m),i=sliceArrays(i,0,g),u=sliceArrays(a,g,m),a=sliceArrays(a,0,g),d=l.concat(u)):null!=r.validationSteps&&(h=!0);return y=i.concat(a),e.checkTrainableWeightsConsistency(),v=e.makeTrainFunction(),b=e.getDedupedMetricsNames(),w=void 0,z=void 0,h?(e.makeTestFunction(),w=e.testFunction,z=b.slice().concat(b.map(function(e){return\"val_\"+e}))):(w=null,d=[],z=b.slice()),S=standardizeCallbacks(r.callbacks),[4,fitLoop(e,v,y,b,c,r.epochs,r.verbose,S,w,d,r.shuffle,z,r.initialEpoch,null,null,r.yieldEvery)];case 2:return I=N.sent(),e.isTraining=!1,[2,I];case 3:return e.isTraining=!1,disposeNewTensors(i,t),disposeNewTensors(a,n),disposeNewTensors(l,o),disposeNewTensors(u,s),[7];case 4:return[2]}})})}function ensureTensorsRank2OrHigher(e){var t=[];e instanceof Tensor&&(e=[e]);for(var n=0;n<e.length;++n){var r=e[n];if(1===r.rank)t.push(expandDims(r,1));else{if(0===r.rank)throw new Error(\"Expected tensor to be at least 1D, but received a 0D tensor (scalar).\");t.push(r)}}return t}function disposeNewTensors(e,t){if(null!=e){var n=[];if(t instanceof Tensor)n.push(t.id);else if(Array.isArray(t))t.forEach(function(e){return n.push(e.id)});else if(null!=t)for(var r in t){var i=t[r];n.push(i.id)}var a=[];if(e instanceof Tensor)-1===n.indexOf(e.id)&&a.push(e);else if(Array.isArray(e))e.forEach(function(e){-1===n.indexOf(e.id)&&a.push(e)});else if(null!=e)for(var o in e){var s=e[o];-1===n.indexOf(s.id)&&a.push(s)}a.forEach(function(e){e.isDisposed||e.dispose()})}}function isDataTensor(e){return e instanceof Tensor}function isDataArray(e){return Array.isArray(e)}function isDataDict(e){return!isDataTensor(e)&&!isDataArray(e)}function standardizeInputData(e,t,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),null==t||0===t.length){if(null!=e){var a=!1;if(isDataArray(e)&&e.length>0)a=!0;else if(isDataDict(e)){for(var o in e)if(e.hasOwnProperty(o)){a=!0;break}}else a=!0;if(a)throw new ValueError(\"Error when checking model \"+i+\" expected no data, but got \"+e)}return[]}if(null==e)return t.map(function(e){return null});var s;if(isDataDict(e)){e=e,s=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(null==e[c])throw new ValueError('No data provided for \"'+c+'\". Need data for each key in: '+t);s.push(e[c])}}else if(isDataArray(e)){if((e=e).length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got the following list of Tensor(s): \"+e);s=e}else{if(e=e,t.length>1)throw new ValueError(\"The model \"+i+\" expects \"+t.length+\" Tensor(s), but only received one Tensor. Found: Tensor with shape \"+e.shape);s=[e]}if(s=ensureTensorsRank2OrHigher(s),null!=n)for(var p=0;p<t.length;++p)if(null!=n[p]){var h=s[p];if(h.shape.length!==n[p].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have \"+n[p].length+\" dimension(s). but got array with shape \"+h.shape);for(var d=0;d<n[p].length;++d)if(0!==d||r){var f=h.shape[d],g=n[p][d];if(null!=g&&g>=0&&f!==g)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have shape [\"+n[p]+\"], but got array with shape [\"+h.shape+\"].\")}}return s}function checkArrayLengths(e,t,n){var r=unique(e.map(function(e){return e.shape[0]}));r.sort();var i=unique(t.map(function(e){return e.shape[0]}));if(i.sort(),r.length>1)throw new ValueError(\"All input Tensors (x) should have the same number of samples. Got array shapes: \"+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new ValueError(\"All target Tensors (y) should have the same number of samples. Got array shapes: \"+JSON.stringify(t.map(function(e){return e.shape})));if(r.length>0&&i.length>0&&!util.arraysEqual(r,i))throw new ValueError(\"Input Tensors should have the same number of samples as target Tensors. Found \"+r[0]+\" input sample(s) and \"+i[0]+\" target sample(s).\")}function checkLossAndTargetCompatibility(e,t,n){for(var r=[meanSquaredError,binaryCrossentropy,categoricalCrossentropy],i=0;i<e.length;++i){var a=e[i],o=t[i],s=n[i];if(null!=o){if(o===categoricalCrossentropy&&1===a.shape[a.shape.length-1])throw new ValueError(\"You are passing a target array of shape \"+a.shape+\" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].\");if(-1!==r.indexOf(o))for(var l=a.shape.slice(1),u=s.slice(1),c=0;c<l.length;++c){var p=l[c],h=u[c];if(null!=h&&p!==h)throw new ValueError(\"A target Tensor with shape \"+a.shape+\" was passed for an output of shape \"+s+\", while using a loss function that expects targets to have the same shape as the output.\")}}}}function checkInputData(e,t,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),Array.isArray(e)){if(e.length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got \"+e.length+\" Tensors(s).\");a=e}else{if(t.length>1)throw new ValueError(\"The model expects \"+t.length+\" \"+i+\" Tensors, but only received one Tensor. Found: array with shape \"+JSON.stringify(e.shape)+\".\");a=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=a[o];if(s.shape.length!==n[o].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have \"+n[o].length+\" dimension(s), but got array with shape \"+JSON.stringify(s.shape));for(var l=0;l<n[o].length;++l)if(0!==l||r){var u=s.shape[l],c=n[o][l];if(null!=c&&c!==u)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have shape \"+JSON.stringify(n[o])+\" but got array with shape \"+JSON.stringify(s.shape)+\".\")}}}function collectMetrics(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map(function(e){return[]});if(Array.isArray(e))return t.map(function(t){return e});if(null!=e){for(var n=[],r=0,i=t;r<i.length;r++){var a=i[r],o=e.hasOwnProperty(a)?e[a]:[];Array.isArray(o)||(o=[o]),n.push(o)}return n}throw new TypeError(\"Type of metrics argument not understood. Expected an Array or Object, found: \"+e)}var Model=function(e){function t(t){var n=e.call(this,t)||this;return n.isTraining=!1,n}return __extends(t,e),t.prototype.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new ValueError(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");printSummary(this,e,t,n)},t.prototype.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,\"string\"==typeof e.optimizer)this.optimizer=getOptimizer(e.optimizer);else{if(!(e.optimizer instanceof Optimizer))throw new ValueError(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer=e.optimizer}var n=[];if(Array.isArray(e.loss)||\"string\"==typeof e.loss||\"function\"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new ValueError(\"When passing an Array as loss, it should have one entry per model output. The model has \"+this.outputs.length+\" output(s), but you passed loss=\"+e.loss+\".\");var r=e.loss;n=r.map(function(e){return get(e)})}else{var i=get(e.loss);this.outputs.map(function(e){n.push(i)})}else{for(var a in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(a))throw new ValueError('Unknown entry in loss dictionary: \"'+a+'\". Only expect the following keys: '+this.outputNames);for(var o in this.outputNames)null==e.loss[o]&&console.warn('Output \"'+o+'\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+o+\" during training\"),n.push(get(e.loss[o]))}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var s=0;s<this.outputs.length;++s){var l=this.internalOutputShapes[s],u=this.outputNames[s];this.feedOutputNames.push(u),this.feedOutputShapes.push(l),this.feedLossFns.push(this.lossFunctions[s])}var c=[];this.metrics=e.metrics,this.metricsNames=[\"loss\"],this.metricsTensors=[],nameScope(\"loss\",function(){for(var e=0;e<t.outputs.length;++e)if(-1===c.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+\"_loss\"))}});var p=collectMetrics(e.metrics,this.outputNames);nameScope(\"metric\",function(){for(var e=function(e){if(-1!==c.indexOf(e))return\"continue\";!function(n){for(var r,i,a,o=function(n){if(-1!==[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(n)){var o=t.internalOutputShapes[e];1===o[o.length-1]||t.lossFunctions[e]===binaryCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=binaryAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=binaryCrossentropy$1):t.lossFunctions[e]===sparseCategoricalCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=sparseCategoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=sparseCategoricalCrossentropy$1):-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=categoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=categoricalCrossentropy$1);var s=void 0;-1!==[\"accuracy\",\"acc\"].indexOf(n)?s=\"acc\":-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(s=\"ce\"),a=i,r=\"\"+s}else{var l=get$1(n);a=l,r=\"\"+n}var u;nameScope(r,function(){u=a}),function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+\"_\"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])}(e,r,u)},s=0,l=n;s<l.length;s++)o(l[s])}(p[e])},n=0;n<t.outputs.length;++n)e(n)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;checkBatchSize(r);var i=this.standardizeUserData(e,t,!0,r);try{var a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return singletonOrArray(this.testLoop(o,a,r,n.verbose,n.steps))}finally{disposeNewTensors(i[0],e),disposeNewTensors(i[1],t)}},t.prototype.evaluateDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){return this.makeTestFunction(),[2,evaluateDataset(this,e,t)]})})},t.prototype.checkNumSamples=function(e,t,n,r){var i;if(void 0===r&&(r=\"steps\"),null!=n){if(i=null,null!=t)throw new ValueError(\"If \"+r+\" is set, batchSize must be null or undefined.Got batchSize = \"+t)}else{if(null==e)throw new ValueError(\"Either the input data should have a defined shape, or \"+r+\" shoud be specified.\");i=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return i},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new ValueError(\"`outputs` is an empty Array, which is not allowed.\");var n=Array.isArray(t),r=n?t:[t],i=this.retrieveSymbolicTensors(r),a=new FeedDict;if(e instanceof Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new ValueError(\"The number of inputs provided (\"+e.length+\") does not match the number of inputs of this model (\"+this.inputs.length+\").\");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],e[o])}else for(var s=0,l=this.inputs;s<l.length;s++){var u=l[s],c=e[u.name];if(null==c)throw new ValueError(\"No value is provided for the model's input \"+u.name);a.add(u,c)}var p=execute(i,a);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=pyListRepeat(null,e.length),n=e.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(e){return e.name}),l=0;l<e.length;++l){var u=s.indexOf(e[l]);if(-1!==u&&(t[l]=o[u],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw t.forEach(function(t,n){null==t&&c.push(e[n])}),new ValueError(\"Cannot find SymbolicTensors for output name(s): \"+JSON.stringify(c))}return t},t.prototype.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),tidy(function(){var i=r.checkNumSamples(e);if(n)throw new NotImplementedError(\"Verbose predictLoop() is not implemented yet.\");for(var a=makeBatches(i,t),o=[],s=function(t){var n=tidy(function(){var n=a[t][0],i=a[t][1],o=sliceArrays(e,n,i),s=[];if(Array.isArray(o))for(var l=0;l<o.length;++l)s.push({key:r.inputs[l],value:o[l]});else s.push({key:r.inputs[0],value:o});var u=new FeedDict(s);return execute(r.outputs,u)});if(0===t)for(var i=0,s=n;i<s.length;i++){var l=s[i];o.push(l)}else for(var u=0;u<n.length;++u)o[u]=concatAlongFirstAxis(o[u],n[u])},l=0;l<a.length;++l)s(l);return singletonOrArray(o)})},t.prototype.predict=function(e,t){void 0===t&&(t={});var n=ensureTensorsRank2OrHigher(e);checkInputData(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return checkBatchSize(r),this.predictLoop(n,r)}finally{disposeNewTensors(n,e)}},t.prototype.predictOnBatch=function(e){return checkInputData(e,this.inputNames,this.feedInputShapes,!0),this.predictLoop(e,e.shape[0])},t.prototype.standardizeUserData=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new RuntimeError(\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===sparseCategoricalCrossentropy?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(checkArrayLengths(e=standardizeInputData(e,this.feedInputNames,this.feedInputShapes,!1,\"input\"),t=standardizeInputData(t,this.feedOutputNames,i,!1,\"target\"),null),checkLossAndTargetCompatibility(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new ValueError(\"In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size \"+r+\". Found: \"+e[0].shape[0]+\" sample(s).\");return[e,t,null]},t.prototype.testLoop=function(e,t,n,r,i){var a=this;return void 0===r&&(r=0),tidy(function(){var o=a.checkNumSamples(t,n,i,\"steps\"),s=[];if(r>0)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");if(null!=i)throw new NotImplementedError(\"steps mode in testLoop() is not implemented yet\");for(var l=makeBatches(o,n),u=tensor1d(range(0,o)),c=0;c<l.length;++c){var p=l[c][0],h=l[c][1],d=sliceAlongFirstAxis(u,p,h-p),f=sliceArraysByIndices(t,d),g=e(f);if(0===c)for(var m=0;m<g.length;++m)s.push(getScalar(0));for(m=0;m<g.length;++m){var y=g[m];s[m]=add(s[m],mul(getScalar(h-p),y))}}for(m=0;m<s.length;++m)s[m]=div(s[m],getScalar(o));return s})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],i=r;if(count(e,r)>1)i+=\"_\"+count(e.slice(0,n),r);t.push(i)}return t},t.prototype.makeTrainFunction=function(){var e=this;return function(t){var n=t.slice(0,e.inputs.length),r=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),i=[],a=e.collectedTrainableWeights.map(function(e){return e.read()});return[e.optimizer.minimize(function(){for(var t=[],a=0;a<e.inputs.length;++a)t.push({key:e.inputs[a],value:n[a]});var o,s=new FeedDict(t),l=execute(e.outputs,s,{training:!0});for(a=0;a<e.lossFunctions.length;++a){var u=(0,e.lossFunctions[a])(r[a],l[a]);mean(u),o=0===a?u:add(o,u)}for(a=0;a<e.metricsTensors.length;++a){var c=e.metricsTensors[a][0],p=e.metricsTensors[a][1],h=mean(c(r[p],l[p]));keep(h),i.push(h)}return o=mean(o),e.calculateLosses().forEach(function(e){o=add(o,e)}),o},!0,a)].concat(i)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return tidy(function(){for(var n,r=[],i=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:i[s]});var l=new FeedDict(o),u=execute(e.outputs,l);for(s=0;s<e.lossFunctions.length;++s){var c=e.lossFunctions[s],p=mean(c(a[s],u[s]));n=0===s?p:add(n,p),r.push(n)}for(s=0;s<e.metricsTensors.length;++s){var h=e.metricsTensors[s][0],d=e.metricsTensors[s][1],f=mean(h(a[d],u[d]));r.push(f)}return r})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){return __generator(this,function(r){return[2,fitTensors(this,e,t,n)]})})},t.prototype.fitDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){return[2,fitDataset(this,e,t)]})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||(t[r[a].originalName]=i[a]);return t},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),t.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o;return __generator(this,function(s){switch(s.label){case 0:if(\"string\"==typeof e){if(0===(n=io.getSaveHandlers(e)).length)throw new ValueError(\"Cannot find any save handlers for URL '\"+e+\"'\");if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") save handlers for URL '\"+e+\"'\");e=n[0]}if(null==e.save)throw new ValueError(\"Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return[4,io.encodeWeights(this.getNamedWeights(t))];case 1:return r=s.sent(),i=!1,a=null,o=this.toJSON(a,i),[2,e.save({modelTopology:o,weightData:r.data,weightSpecs:r.specs})]}})})},t.className=\"Model\",t}(Container);function modelFromJSON(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o,s,l,u,c,p;return __generator(this,function(h){switch(h.label){case 0:return\"modelTopology\"in e||(e={modelTopology:e}),null!=(n=(e=e).modelTopology).model_config&&(n=n.model_config),r=convertPythonicToTs(n),i=deserialize(r,t),null==e.weightsManifest?[3,2]:[4,io.loadWeights(e.weightsManifest,e.pathPrefix,i.weights.map(function(e){return e.originalName}))];case 1:for(a=h.sent(),o={},s=0,l=i.weights;s<l.length;s++)u=l[s],o[u.originalName]=a[u.originalName];c=null,p=!0,i.loadWeights(o,c,p),h.label=2;case 2:return[2,i]}})})}function loadModelInternal(e,t){return void 0===t&&(t=!0),__awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){if(\"string\"==typeof e){if(0===(n=io.getLoadHandlers(e)).length)n.push(io.browserHTTPRequest(e));else if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") load handlers for URL '\"+e+\"'\");e=n[0]}return[2,loadModelFromIOHandler(e,void 0,t)]})})}function loadModelFromIOHandler(e,t,n){return void 0===n&&(n=!0),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s;return __generator(this,function(l){switch(l.label){case 0:if(null==e.load)throw new ValueError(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,e.load()];case 1:if(r=l.sent(),null!=(i=r.modelTopology).model_config&&(i=i.model_config),a=deserialize(convertPythonicToTs(i),t),null!=r.weightData){if(null==r.weightSpecs)throw new ValueError(\"Model artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");o=!1,s=!0,a.loadWeights(io.decodeWeights(r.weightData,r.weightSpecs),o,s,n)}return[2,a]}})})}serialization.registerClass(Model);var Sequential=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:getUid(\"sequential_\"),null!=t.layers)for(var r=0,i=t.layers;r<i.length;r++){var a=i[r];n.add(a)}return n}return __extends(t,e),t.prototype.checkShape=function(e){if(e.inboundNodes[0].outputTensors[0].shape.some(function(e){return e<0}))throw new ValueError(\"Negative dimension size caused by adding layer \"+e.name+\" with input shape [\"+e.inboundNodes[0].inputTensors[0].shape+\"]\")},t.prototype.add=function(e){var n,r=e instanceof t||e instanceof Model;if(r){if(1!==(n=e).outputs.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(1!==n.inputs.length)throw new ValueError(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new ValueError(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");var i=Input({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+\"_input\"});e.apply(i)}if(r)this.outputs=n.outputs,this.inputs=n.inputs;else{if(1!==e.inboundNodes.length)throw new ValueError(\"A layer added to a Sequential model must not already be connected somewhere else. Model received layer \"+e.name+\" which has \"+e.inboundNodes.length+\" pre-existing inbound connections.\");if(1!==e.inboundNodes[0].outputTensors.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=getSourceInputs(this.outputs[0])}this.inboundNodes=[],new Node({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:pyListRepeat(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(e){return e.shape}),outputShapes:this.outputs[0].shape})}else{var a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.checkShape(e),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},t.prototype.pop=function(){if(0===this.layers.length)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},t.prototype.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},t.prototype.build=function(e){if(getExactlyOneShape(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model=new Model({inputs:this.inputs,outputs:this.outputs[0],name:this.name+\"_model\"}),this.model.trainable=this.trainable,this.model.updatable=this.updatable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},t.prototype.countParams=function(){return this.built||this.build(),e.prototype.countParams.call(this)},t.prototype.summary=function(t,n,r){void 0===r&&(r=console.log),this.built||this.build(),e.prototype.summary.call(this,t,n,r)},t.prototype.setWeights=function(e){null==this.model&&this.build(),this.model.setWeights(e)},Object.defineProperty(t.prototype,\"updatable\",{get:function(){return this._updatable},set:function(e){this.built&&(this.model.updatable=e),this._updatable=e},enumerable:!0,configurable:!0}),t.prototype.evaluate=function(e,t,n){if(void 0===n&&(n={}),!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return this.model.evaluate(e,t,n)},t.prototype.evaluateDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.evaluateDataset(e,t)]})})},t.prototype.predict=function(e,t){return void 0===t&&(t={}),null==this.model&&this.build(),this.model.predict(e,t)},t.prototype.predictOnBatch=function(e){return null==this.model&&this.build(),this.model.predictOnBatch(e)},t.prototype.compile=function(e){this.build(),this.model.compile(e),this.optimizer=this.model.optimizer,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){return __generator(this,function(r){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.fit(e,t,n)]})})},t.prototype.fitDataset=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){if(!this.built)throw new RuntimeError(\"The model needs to be compiled before being used.\");return[2,this.model.fitDataset(e,t)]})})},t.fromConfig=function(e,n){var r,i={};if(n instanceof Array){if(null==n[0].className||\"Merge\"===n[0].className)throw new ValueError(\"Legacy serialization format not supported yet.\");r=n}else util.assert(null!=n.layers,\"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field.\"),r=n.layers,delete n.layers,i=n;var a=new e(i);if(!(a instanceof t))throw new NotImplementedError(\"Sequential.fromConfig called on non-Sequential input: \"+a);for(var o=0,s=r;o<s.length;o++){var l=deserialize(s[o]);a.add(l)}return a},Object.defineProperty(t.prototype,\"stopTraining\",{set:function(e){this.model.stopTraining=e},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push({className:r.getClassName(),config:r.getConfig()})}return e},t.className=\"Sequential\",t}(Model);function model(e){return new Model(e)}function sequential(e){return new Sequential(e)}function loadModel(e,t){return void 0===t&&(t=!0),loadModelInternal(e,t)}function input(e){return Input(e)}function registerCallbackConstructor(e,t){CallbackConstructorRegistry.registerCallbackConstructor(e,t)}serialization.registerClass(Sequential);var Activation=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Elu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),elu$1(e,t)},t.className=\"elu\",t}(Activation);serialization.registerClass(Elu);var Selu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return selu(e)},t.className=\"selu\",t}(Activation);serialization.registerClass(Selu);var Relu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"relu\",t}(Activation);serialization.registerClass(Relu);var Relu6=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tidy(function(){return minimum(getScalar(6),relu(e))})},t.className=\"relu6\",t}(Activation);serialization.registerClass(Relu6);var Linear=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return e},t.className=\"linear\",t}(Activation);serialization.registerClass(Linear);var Sigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return sigmoid(e)},t.className=\"sigmoid\",t}(Activation);serialization.registerClass(Sigmoid);var HardSigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return hardSigmoid(e)},t.className=\"hardSigmoid\",t}(Activation);serialization.registerClass(HardSigmoid);var Softplus=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softplus(e)},t.className=\"softplus\",t}(Activation);serialization.registerClass(Softplus);var Softsign=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softsign(e)},t.className=\"softsign\",t}(Activation);serialization.registerClass(Softsign);var Tanh=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tanh(e)},t.className=\"tanh\",t}(Activation);serialization.registerClass(Tanh);var Softmax=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),softmax(e,t)},t.className=\"softmax\",t}(Activation);function serializeActivation(e){return e.getClassName()}function deserializeActivation(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"activation\")}function getActivation(e){return null==e?deserializeActivation({className:\"linear\",config:{}}):\"string\"==typeof e?deserializeActivation({className:e,config:{}}):e instanceof Activation?e:deserializeActivation(e)}serialization.registerClass(Softmax);var ReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.supportsMasking=!0,null!=t&&(n.maxValue=t.maxValue),n}return __extends(t,e),t.prototype.call=function(e,t){e=getExactlyOneTensor(e);var n=relu(e);return null!=this.maxValue&&(n=clipByValue(n,0,this.maxValue)),n},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={maxValue:this.maxValue},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ReLU\",t}(Layer);serialization.registerClass(ReLU);var LeakyReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return leakyRelu(n,this.alpha)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LeakyReLU\",t}(Layer);serialization.registerClass(LeakyReLU);var ELU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new NotImplementedError(\"Non-default alpha value (\"+t.alpha+\") is not supported by the ELU layer yet.\");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return elu(n)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ELU\",t}(Layer);serialization.registerClass(ELU);var ThresholdedReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n.thetaTensor=getScalar(n.theta),n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return n.mul(cast$1(n.greater(this.thetaTensor),\"float32\"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ThresholdedReLU\",t}(Layer);serialization.registerClass(ThresholdedReLU);var Softmax$1=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new Softmax).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return this.softmax(n,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Softmax\",t}(Layer);serialization.registerClass(Softmax$1);var Regularizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(serialization.Serializable),L1L2=function(e){function t(t){var n=e.call(this)||this,r=null==t||null==t.l1?.01:t.l1,i=null==t||null==t.l2?.01:t.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=getScalar(r),n.l2=getScalar(i),n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=zeros([1]);return t.hasL1&&(n=add(n,sum(mul(t.l1,abs(e))))),t.hasL2&&(n=add(n,sum(mul(t.l2,square(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className=\"L1L2\",t}(Regularizer);function l1(e){return new L1L2({l1:null!=e?e.l1:null,l2:0})}function l2(e){return new L1L2({l2:null!=e?e.l2:null,l1:0})}serialization.registerClass(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={l1l2:\"L1L2\"};function serializeRegularizer(e){return serializeKerasObject(e)}function deserializeRegularizer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function getRegularizer(e){return null==e?null:\"string\"==typeof e?deserializeRegularizer({className:e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Regularizer?e:deserializeRegularizer(e)}function normalizeArray(e,t,n){if(\"number\"==typeof e)return pyListRepeat(e,t);if(e.length!==t)throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+e.length+\" elements.\");for(var r=0;r<t;++r){var i=e[r];if(!isInteger(i))throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+JSON.stringify(e)+\" including a non-integer number \"+i)}return e}function convOutputLength(e,t,n,r,i){return void 0===i&&(i=1),null==e?e:(a=\"same\"===n?e:e-(t+(t-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function deconvLength(e,t,n,r){if(null==e)return null;if(\"valid\"===r)e=e*t+max$1([n-t,0]);else{if(\"same\"!==r)throw new ValueError(\"Unsupport padding mode: \"+r+\".\");e*=t}return e}function preprocessConv2DInput(e,t){return tidy(function(){return checkDataFormat(t),\"channelsFirst\"===t?transpose(e,[0,2,3,1]):e})}function conv1dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i=\"valid\"),void 0===o&&(o=1),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.shape.length)throw new ValueError(\"The input of a conv1dWithBias operation should be 3, but is \"+e.shape.length+\" instead.\");if(3!==t.shape.length)throw new ValueError(\"The kernel for a conv1dWithBias operation should be 3, but is \"+t.shape.length+\" instead\");if(null!=n&&1!==n.shape.length)throw new ValueError(\"The bias for a conv1dWithBias operation should be 1, but is \"+t.shape.length+\" instead\");if(\"channelsFirst\"===a&&(e=transpose(e,[0,2,1])),\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");var s=conv1d(e,t,r,\"same\"===i?\"same\":\"valid\",\"NWC\",o);return null!=n&&(s=biasAdd(s,n)),s})}function conv2dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=[1,1]),void 0===i&&(i=\"valid\"),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.rank&&4!==e.rank)throw new ValueError(\"conv2dWithBias expects input to be of rank 3 or 4, but received \"+e.rank+\".\");if(3!==t.rank&&4!==t.rank)throw new ValueError(\"conv2dWithBias expects kernel to be of rank 3 or 4, but received \"+e.rank+\".\");var s=preprocessConv2DInput(e,a);if(\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return s=conv2d(s,t,r,\"same\"===i?\"same\":\"valid\",\"NHWC\",o),null!=n&&(s=biasAdd(s,n)),\"channelsFirst\"===a&&(s=transpose(s,[0,3,1,2])),s})}var BaseConv=function(e){function t(n,r){var i=e.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",i.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.verifyConfig(r),i.rank=n,1!==i.rank&&2!==i.rank)throw new NotImplementedError(\"Convolution layer for rank other than 1 or 2 (\"+i.rank+\") is not implemented yet.\");if(i.kernelSize=normalizeArray(r.kernelSize,n,\"kernelSize\"),i.strides=normalizeArray(null==r.strides?1:r.strides,n,\"strides\"),i.padding=null==r.padding?\"valid\":r.padding,checkPaddingMode(i.padding),i.dataFormat=null==r.dataFormat?\"channelsLast\":r.dataFormat,checkDataFormat(i.dataFormat),i.activation=getActivation(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=getInitializer(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=getConstraint(r.biasConstraint),i.biasRegularizer=getRegularizer(r.biasRegularizer),i.activityRegularizer=getRegularizer(r.activityRegularizer),i.dilationRate=normalizeArray(null==r.dilationRate?1:r.dilationRate,n,\"dilationRate\"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or an array of a single number for 1D convolution, but received \"+JSON.stringify(i.dilationRate));if(2===i.rank)if(\"number\"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or array of two numbers for 2D convolution, but received \"+JSON.stringify(i.dilationRate));return i}return __extends(t,e),t.verifyConfig=function(e){if(assert(\"kernelSize\"in e,\"required key 'kernelSize' not in config\"),\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.prototype.getConfig=function(){var t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:serializeActivation(this.activation),useBias:this.useBias,biasInitializer:serializeInitializer(this.biasInitializer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),Conv=function(e){function t(n,r){var i=e.call(this,n,r)||this;return i.kernel=null,t.verifyConfig(r),i.filters=r.filters,i.kernelInitializer=getInitializer(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=getConstraint(r.kernelConstraint),i.kernelRegularizer=getRegularizer(r.kernelRegularizer),i}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the input should be defined. Found \"+e[t]);var n,r=e[t],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;e=getExactlyOneTensor(e);var r=null==n.bias?null:n.bias.read();if(1===n.rank)t=conv1dWithBias(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=conv2dWithBias(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new NotImplementedError(\"3D convolution is not implemented yet.\");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);for(var t=[],n=\"channelsLast\"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var i=convOutputLength(n[r],this.kernelSize[r],this.padding,this.strides[r],\"number\"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(i)}var a=[e[0]];return\"channelsLast\"===this.dataFormat?(a=a.concat(t)).push(this.filters):(a.push(this.filters),a=a.concat(t)),a},t.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:serializeInitializer(this.kernelInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!(\"filters\"in e)||\"number\"!=typeof e.filters||e.filters<1)throw new ValueError(\"Convolution layer expected config.filters to be a 'number' > 0 but got \"+JSON.stringify(e.filters))},t}(BaseConv),Conv2D=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv2D\",t}(Conv);serialization.registerClass(Conv2D);var Conv2DTranspose=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new InputSpec({ndim:4})],\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode \"+n.padding);return n}return __extends(t,e),t.prototype.build=function(e){if(4!==(e=getExactlyOneShape(e)).length)throw new ValueError(\"Input should have rank 4; Received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the inputs should be defined. Found `None`.\");var n,r=e[t],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight(\"kernel\",i,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new InputSpec({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);if(4!==t.shape.length)throw new ValueError(\"Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-\"+t.shape.length);var r,i,a=t.shape,o=a[0];\"channelsFirst\"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],l=a[i],u=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[o,deconvLength(s,p,u,n.padding),deconvLength(l,h,c,n.padding),n.filters];\"channelsLast\"!==n.dataFormat&&(t=transpose(t,[0,2,3,1]));var f=conv2dTranspose(t,n.kernel.read(),d,n.strides,n.padding);return\"channelsLast\"!==n.dataFormat&&(f=transpose(f,[0,3,1,2])),null!=n.bias&&(f=biasAdd(f,n.bias.read(),n.dataFormat)),null!=n.activation&&(f=n.activation.apply(f)),f})},t.prototype.computeOutputShape=function(e){var t,n,r,i=(e=getExactlyOneShape(e)).slice();\"channelsFirst\"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],l=this.strides[1];return i[t]=this.filters,i[n]=deconvLength(i[n],s,a,this.padding),i[r]=deconvLength(i[r],l,o,this.padding),i},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className=\"Conv2DTranspose\",t}(Conv2D);serialization.registerClass(Conv2DTranspose);var SeparableConv=function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",r.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new ValueError(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new ValueError(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(null!=n.padding&&\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"SeparableConv\"+r.rank+\"D supports only padding modes: 'same' and 'valid', but received \"+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=getRegularizer(n.depthwiseRegularizer),r.depthwiseConstraint=getConstraint(n.depthwiseConstraint),r.pointwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=getRegularizer(n.pointwiseRegularizer),r.pointwiseConstraint=getConstraint(n.pointwiseConstraint),r}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<this.rank+2)throw new ValueError(\"Inputs to SeparableConv\"+this.rank+\"D should have rank \"+(this.rank+2)+\", but received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs should be defined, but found \"+JSON.stringify(e[t]));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),i=[],a=0;a<this.rank;++a)i.push(1);i.push(n*this.depthMultiplier,this.filters);var o;this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,\"float32\",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight(\"pointwise_kernel\",i,\"float32\",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new InputSpec({ndim:this.rank+2,axes:(o={},o[t]=n,o)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;if(e=getExactlyOneTensor(e),1===n.rank)throw new NotImplementedError(\"1D separable convolution is not implemented yet.\");return 2===n.rank&&(\"channelsFirst\"===n.dataFormat&&(e=transpose(e,[0,2,3,1])),t=separableConv2d(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,\"NHWC\")),n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),\"channelsFirst\"===n.dataFormat&&(t=transpose(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.pointwiseInitializer=serializeInitializer(this.pointwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.pointwiseRegularizer=serializeRegularizer(this.pointwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseConstraint),t.pointwiseConstraint=serializeConstraint(this.pointwiseConstraint),t},t.className=\"SeparableConv\",t}(Conv),SeparableConv2D=function(e){function t(t){return e.call(this,2,t)||this}return __extends(t,e),t.className=\"SeparableConv2D\",t}(SeparableConv);serialization.registerClass(SeparableConv2D);var Conv1D=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,1))throw new ValueError(\"Conv1D expects config.kernelSize to be number or number[] with length 1, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv1D\",t}(Conv);serialization.registerClass(Conv1D);var Cropping2D=function(e){function t(t){var n=e.call(this,t)||this;return\"number\"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:\"number\"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n.inputSpec=[{ndim:4}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return\"channelsFirst\"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return e=getExactlyOneTensor(e),\"channelsLast\"===n.dataFormat?sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Cropping2D\",t}(Layer);serialization.registerClass(Cropping2D);var UpSampling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,n}return __extends(t,e),t.prototype.computeOutputShape=function(e){if(\"channelsFirst\"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}t=null==e[1]?null:this.size[0]*e[1],n=null==e[2]?null:this.size[1]*e[2];return[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e),r=t.shape;if(\"channelsFirst\"===n.dataFormat){t=transpose(t,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=t.resizeNearestNeighbor([i,a]);return transpose(o,[0,3,1,2])}i=n.size[0]*r[1],a=n.size[1]*r[2];return t.resizeNearestNeighbor([i,a])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"UpSampling2D\",t}(Layer);function depthwiseConv2d$1(e,t,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r=\"valid\"),tidy(function(){null==i&&(i=imageDataFormat()),checkDataFormat(i);var o=preprocessConv2DInput(e,i);if(4!==e.rank)throw new ValueError(\"Input for depthwiseConv2d is required to be 4-D, but is instead \"+e.rank+\"-D\");if(4!==t.rank)throw new ValueError(\"depthwiseKernel is required to be 4-D, but is instead \"+t.rank+\"-D\");return o=depthwiseConv2d(o,t,n,\"same\"===r?\"same\":\"valid\",\"NHWC\",a),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(UpSampling2D);var DepthwiseConv2D=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=getInitializer(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=getConstraint(t.depthwiseConstraint),n.depthwiseRegularizer=getRegularizer(t.depthwiseRegularizer),n}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<4)throw new ValueError(\"Inputs to DepthwiseConv2D should have rank 4. Received input shape: \"+JSON.stringify(e)+\".\");var t=\"channelsFirst\"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (\"+e[t]+\").\");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=depthwiseConv2d$1(e=getExactlyOneTensor(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2],r=\"channelsFirst\"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,i=convOutputLength(t,this.kernelSize[0],this.padding,this.strides[0]),a=convOutputLength(n,this.kernelSize[1],this.padding,this.strides[1]);return\"channelsFirst\"===this.dataFormat?[e[0],r,i,a]:[e[0],i,a,r]},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseRegularizer),t},t.className=\"DepthwiseConv2D\",t}(BaseConv);serialization.registerClass(DepthwiseConv2D);var Dropout=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=getScalar(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Non-default seed is not implemented in Dropout layer yet: \"+n.seed);return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);if(null!=n.noiseShape&&!util.arraysEqual(r.shape,n.noiseShape))throw new NotImplementedError(\"Non-default noise shape is not implemented in Dropout layer yet: \"+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,a=n.getNoiseShape(r);return inTrainPhase(function(){return dropout(r,n.rateScalar,a,n.seed)},function(){return r},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dropout\",t}(Layer);serialization.registerClass(Dropout);var Dense=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=getActivation(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=getConstraint(t.kernelConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return __extends(t,e),t.prototype.build=function(e){var t,n=(e=getExactlyOneShape(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight(\"kernel\",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=dot(getExactlyOneTensor(e),n.kernel.read());return null!=n.bias&&(r=biasAdd(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dense\",t}(Layer);serialization.registerClass(Dense);var Flatten=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=getExactlyOneShape(e)).slice(1);t<n.length;t++){if(null==n[t])throw new ValueError('The shape of the input to \"Flatten\" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.')}return[e[0],arrayProd(e,1)]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),batchFlatten(getExactlyOneTensor(e))})},t.className=\"Flatten\",t}(Layer);serialization.registerClass(Flatten);var Activation$1=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=getActivation(t.activation),n}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:serializeActivation(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Activation\",t}(Layer);serialization.registerClass(Activation$1);var RepeatVector=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return repeat(e=getExactlyOneTensor(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"RepeatVector\",t}(Layer);serialization.registerClass(RepeatVector);var Reshape=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return __extends(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n=\"Total size of new array must be unchanged.\",r=t.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new ValueError(\"Can only specifiy one unknown dimension.\");a=o}else i*=s}var l=arrayProd(e);if(null!==a){if(0===i||l%i!=0)throw new ValueError(n);r[a]=l/i}else if(l!==i)throw new ValueError(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e),i=r.shape,a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Reshape\",t}(Layer);serialization.registerClass(Reshape);var Permute=function(e){function t(t){var n=e.call(this,t)||this;if(null==t.dims)throw new Error(\"Required configuration field `dims` is missing during Permute constructor call.\");if(!Array.isArray(t.dims))throw new Error(\"Permute constructor requires `dims` to be an Array, but received \"+t.dims+\" instead.\");var r=range(1,t.dims.length+1);if(!util.arraysEqual(t.dims.slice().sort(),r))throw new Error(\"Invalid permutation `dims`: \"+JSON.stringify(t.dims)+\" `dims` must contain consecutive integers starting from 1.\");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new InputSpec({ndim:n.dims.length+1})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return this.dims.forEach(function(n,r){t[r+1]=e[n]}),t},t.prototype.call=function(e,t){return transpose(getExactlyOneTensor(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Permute\",t}(Layer);serialization.registerClass(Permute);var Embedding=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(toList(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=getInitializer(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=getRegularizer(t.embeddingsRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.embeddingsConstraint=getConstraint(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return __extends(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Embedding yet\")},t.prototype.computeOutputShape=function(e){if(e=getExactlyOneShape(e),null==this.inputLength)return e.concat([this.outputDim]);var t=toList(this.inputLength);if(t.length!==e.length-1)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);for(var n=0,r=0;r<t.length;++r){var i=t[r],a=e[r+1];if(null!=i&&null!=a&&i!==a)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);null==i&&(t[n]=a),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return\"int32\"!==r.dtype&&(r=cast$1(r,\"int32\")),gather$1(n.embeddings.read(),r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:serializeInitializer(this.embeddingsInitializer),embeddingsRegularizer:serializeRegularizer(this.embeddingsRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),embeddingsConstraint:serializeConstraint(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Embedding\",t}(Layer);serialization.registerClass(Embedding);var Merge=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.mergeFunction=function(e){throw new NotImplementedError},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var i=e[e.length-t.length+r],a=t[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new ValueError(\"Operands could not be broadcast together with shapes \"+JSON.stringify(e)+\" \"+JSON.stringify(t));n.push(i)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[getExactlyOneShape(e)]),(e=e).length<2)throw new ValueError(\"A merge layer should be called on an Array of at least 2 inputs. Got \"+e.length+\" input(s).\");for(var t=[],n=0,r=e;n<r.length;n++){null!=(o=r[n])&&null!==o[0]&&t.push(o[0])}if((t=unique(t)).length>1)throw new ValueError(\"Can not merge tensors with different batch sizes. Got tensors with shapes: \"+JSON.stringify(e)+\".\");for(var i=null==e[0]?null:e[0].slice(1),a=1;a<e.length;++a){var o=null==e[a]?null:e[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===unique(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(e=e,n.reshapeRequired){var t=[],r=e.map(function(e){return e.rank});if(-1===r.indexOf(null)){for(var i=max$1(r),a=0,o=e;a<o.length;a++){for(var s=(h=o[a]).rank,l=0;l<i-s;++l)h=expandDims(h,1);t.push(h)}return n.mergeFunction(t)}for(var u=!1,c=0,p=e;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var d=h.shape,f=d[0],g=d.slice(1).concat([f]),m=h.reshape([f].concat(arrayProd(d.slice(1))));m=(m=transpose(m,[1,0])).reshape(g),t.push(m),u=!0}else if(s>1){var y=range(1,s).concat([0]);t.push(transpose(h,y)),u=!0}else t.push(h)}var v=n.mergeFunction(t),b=v.rank;if(u)if(null==b){var w=v.shape;g=[f=w[w.length-1]].concat(w.slice(0,w.length-1));v=transpose(v.reshape([-1,f]),[1,0]).reshape(g)}else if(b>1){y=[b-1].concat(range(0,b-1));v=transpose(v,y)}return v}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var i=[],a=0,o=e;a<o.length;a++){null!=(r=o[a])&&null!==r[0]&&i.push(r[0])}return t=1===(i=unique(i)).length?i.concat(t):[null].concat(t)},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Merge yet\")},t}(Layer),Add=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return t})},t.className=\"Add\",t}(Merge);serialization.registerClass(Add);var Multiply=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=mul(t,e[n]);return t})},t.className=\"Multiply\",t}(Merge);serialization.registerClass(Multiply);var Average=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=add(t,e[n]);return mul(getScalar(1/e.length),t)})},t.className=\"Average\",t}(Merge);serialization.registerClass(Average);var Maximum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=maximum(t,e[n]);return t})},t.className=\"Maximum\",t}(Merge);serialization.registerClass(Maximum);var Minimum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=minimum(t,e[n]);return t})},t.className=\"Minimum\",t}(Merge);serialization.registerClass(Minimum);var Concatenate=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new ValueError(\"A `Concatenate` layer should be called on a list of at least 2 inputs\");for(var t=!0,n=0,r=e=e;n<r.length;n++){if(null!=(c=r[n])){t=!1;break}}if(!t){for(var i=[],a=0;a<e.length;++a){var o=e[a].slice();o.splice(this.axis,1);for(var s=!1,l=0,u=i;l<u.length;l++){var c=u[l];if(util.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new ValueError(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return tidy(function(){return concatenate(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new ValueError(\"A `Concatenate` layer should be called on a list of inputs.\");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=t.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Concatenate yet\")},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Concatenate\",t}(Merge);function interpretAxis(e,t){for(;e<0;)e+=t;return e}function batchDot(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new NotImplementedError(\"batchDot is not implemented for tensors of 4D or higher rank yet\");if(util.assert(e.shape.length>=2,\"batchDot requires the rank of x to be >= 2, but got \"+e.shape.length),util.assert(e.shape.length>=2,\"batchDot requires the rank of y to be >= 2, but got \"+t.shape.length),\"number\"==typeof n&&(n=[n,n]),\"complex64\"===e.dtype||\"complex64\"===t.dtype)throw new NotImplementedError(\"batchDot is not implemented for complex64-type Tensors yet.\");var r=e.shape.length,i=t.shape.length;null==n&&(n=[r-1,i-2]);var a=n;return tidy(function(){var n,o;if(r>i){n=r-i;for(var s=[],l=0;l<n;++l)s.push(1);t=t.reshape(t.shape.concat(s))}else if(i>r){n=i-r;for(s=[],l=0;l<n;++l)s.push(1);e=e.reshape(e.shape.concat(s))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=a[0]===a[1]?e.mulStrict(t).sum(a[0]):e.transpose([1,0]).mulStrict(t).sum(a[1]);else{var u=a[0]!==e.shape.length-1||null,c=a[1]===t.shape.length-1||null;o=e.matMul(t,u,c)}if(n>0){var p=void 0,h=[];for(l=p=r>i?r+i-3:r-1;l<p+n;++l)h.push(l);o=o.squeeze(h)}return 1===o.shape.length&&(o=o.expandDims(1)),o})}serialization.registerClass(Concatenate);var Dot=function(e){function t(t){var n=e.call(this,t)||this;return n.axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),\"A `Dot` layer should be called on a list of exactly 2 inputs.\");var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new NotImplementedError(\"Dot layer does not support tensors of 4D or higher rank yet.\");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new ValueError(\"Dimension incompatibility: \"+t[r[0]]+\" !== \"+n[r[1]])},t.prototype.mergeFunction=function(e){if(2!==e.length)throw new ValueError(\"A `Dot` layer must be called on exactly 2 inputs, but received \"+e.length+\" input(s).\");var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map(function(t,n){return interpretAxis(t,e[n].shape.length)}):[interpretAxis(this.axes,n.shape.length),interpretAxis(this.axes,r.shape.length)],this.normalize&&(n=l2Normalize(n,t[0]),r=l2Normalize(r,t[1])),batchDot(n,r,t)},t.prototype.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[interpretAxis(this.axes,e.length),interpretAxis(this.axes,t.length)]},t.prototype.computeOutputShape=function(e){util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),\"A `Dot` layer should be called on a list of exactly 2 inputs.\");var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new NotImplementedError(\"Dot layer does not support tensors of 4D or higher rank yet.\");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var i=t.concat(n);return 1===i.length&&i.push(1),i},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Dot yet\")},t.prototype.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dot\",t}(Merge);function batchNormalization(e,t,n,r,i,a){var o;if(void 0===a&&(a=.001),2===e.rank)o=batchNormalization2d(e,t,n,a,i,r);else if(3===e.rank)o=batchNormalization3d(e,t,n,a,i,r);else{if(4!==e.rank)throw new NotImplementedError(\"batchNormalization is not implemented for array of rank \"+e.rank+\" yet\");o=batchNormalization4d(e,t,n,a,i,r)}return o}function regularNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){var a=moments(e,r),o=a.mean,s=a.variance;return[batchNormalization(e,o,s,n,t,i),o,s]})}function broadcastNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){for(var a=moments(e,r),o=a.mean,s=a.variance,l=[],u=0,c=range(0,e.rank);u<c.length;u++){var p=c[u];-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=o.reshape(l),d=s.reshape(l),f=null==t?null:t.reshape(l),g=null==n?null:n.reshape(l);return[batchNormalization(e,h,d,g,f,i),o,s]})}function normalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),util.arraysEqual(r.slice().sort(),range(0,e.rank-1))?regularNormalizeBatchInTraining(e,t,n,r,i):broadcastNormalizeBatchInTraining(e,t,n,r,i)}serialization.registerClass(Dot);var BatchNormalization=function(e){function t(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=getInitializer(t.betaInitializer||\"zeros\"),n.gammaInitializer=getInitializer(t.gammaInitializer||\"ones\"),n.movingMeanInitializer=getInitializer(t.movingMeanInitializer||\"zeros\"),n.movingVarianceInitializer=getInitializer(t.movingVarianceInitializer||\"ones\"),n.betaConstraint=getConstraint(t.betaConstraint),n.gammaConstraint=getConstraint(t.gammaConstraint),n.betaRegularizer=getRegularizer(t.betaRegularizer),n.gammaRegularizer=getRegularizer(t.gammaRegularizer),n.stepCount=0,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new ValueError(\"Axis \"+t+\" of input tensor should have a defined dimension but the layer received an input with shape \"+JSON.stringify(e)+\".\");this.inputSpec=[new InputSpec({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,i=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training,i=getExactlyOneTensor(e),a=i.shape,o=a.length,s=range(0,o),l=n.axis>=0?n.axis:n.axis+o;s.splice(l,1);var u=pyListRepeat(1,o);u[l]=a[l];var c=s.slice();c.sort();var p=!util.arraysEqual(c,range(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(u),t=n.movingVariance.read().reshape(u),r=n.center?n.beta.read().reshape(u):null,a=n.scale?n.gamma.read().reshape(u):null;return batchNormalization(i,e,t,r,a,n.epsilon)}return batchNormalization(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=normalizeBatchInTraining(i,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],f=h[1],g=h[2],m=arrayProd(s.map(function(e){return i.shape[e]})),y=g.mul(getScalar(m/(m-(1+n.epsilon))));return function(){n.stepCount++;var e=movingAverage(n.movingMean.read(),f,n.momentum,n.stepCount);n.movingMean.write(e);var t=movingAverage(n.movingVariance.read(),y,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:serializeInitializer(this.betaInitializer),gammaInitializer:serializeInitializer(this.gammaInitializer),movingMeanInitializer:serializeInitializer(this.movingMeanInitializer),movingVarianceInitializer:serializeInitializer(this.movingVarianceInitializer),betaRegularizer:serializeRegularizer(this.betaRegularizer),gammaRegularizer:serializeRegularizer(this.gammaRegularizer),betaConstraint:serializeConstraint(this.betaConstraint),gammaConstraint:serializeConstraint(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"BatchNormalization\",t}(Layer);function spatial2dPadding(e,t,n){return tidy(function(){if(4!==e.rank)throw new ValueError(\"temporalPadding expects input tensor to be 4-D, but received a \"+e.rank+\"-D tensor.\");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new ValueError(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(null==n&&(n=imageDataFormat()),\"channelsLast\"!==n&&\"channelsFirst\"!==n)throw new ValueError(\"Unknown data format: \"+n+\". Supported data formats are 'channelsLast' and 'channelsFirst.\");var r;return r=\"channelsFirst\"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],pad(e,r)})}serialization.registerClass(BatchNormalization);var ZeroPadding2D=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?imageDataFormat():t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if(\"number\"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new ValueError(\"ZeroPadding2D expects padding to be a length-2 array, but received a length-\"+t.padding.length+\" array.\");var r=void 0,i=void 0;if(\"number\"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new ValueError(\"ZeroPadding2D expects height padding to be a length-2 array, but received a length-\"+t.padding[0].length+\" array.\");if(r=t.padding[0],2!==t.padding[1].length)throw new ValueError(\"ZeroPadding2D expects width padding to be a length-2 array, but received a length-\"+t.padding[1].length+\" array.\");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=getExactlyOneShape(e),\"channelsFirst\"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return tidy(function(){return spatial2dPadding(getExactlyOneTensor(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ZeroPadding2D\",t}(Layer);function pool2d(e,t,n,r,i,a){return tidy(function(){var o;checkDataFormat(i),checkPoolMode(a),checkPaddingMode(r),null==n&&(n=[1,1]),null==r&&(r=\"valid\"),null==i&&(i=imageDataFormat()),null==a&&(a=\"max\"),e=preprocessConv2DInput(e,i);var s=\"same\"===r?\"same\":\"valid\";return o=\"max\"===a?maxPool(e,t,n,s):avgPool(e,t,n,s),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.registerClass(ZeroPadding2D);var Pooling1D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,\"number\"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||\"number\"!=typeof t.poolSize[0])throw new ValueError(\"poolSize for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if(\"number\"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||\"number\"!=typeof t.strides[0])throw new ValueError(\"strides for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?\"valid\":t.padding,checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=convOutputLength((e=getExactlyOneShape(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t),e=expandDims(getExactlyOneTensor(e),2);var r=n.poolingFunction(getExactlyOneTensor(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,\"channelsLast\");return squeeze(r,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling1D\",t}(Pooling1D);serialization.registerClass(MaxPooling1D);var AveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling1D\",t}(Pooling1D);serialization.registerClass(AveragePooling1D);var Pooling2D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new ValueError(\"If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length \"+t.strides.length+\".\");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?\"valid\":t.padding,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2];return t=convOutputLength(t,this.poolSize[0],this.padding,this.strides[0]),n=convOutputLength(n,this.poolSize[1],this.padding,this.strides[1]),\"channelsFirst\"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),n.poolingFunction(getExactlyOneTensor(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling2D\",t}(Pooling2D);serialization.registerClass(MaxPooling2D);var AveragePooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling2D\",t}(Pooling2D);serialization.registerClass(AveragePooling2D);var GlobalPooling1D=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new NotImplementedError},t}(Layer),GlobalAveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return mean(t,1)})},t.className=\"GlobalAveragePooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalAveragePooling1D);var GlobalMaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return max(t,1)})},t.className=\"GlobalMaxPooling1D\",t}(GlobalPooling1D);serialization.registerClass(GlobalMaxPooling1D);var GlobalPooling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return e=e,\"channelsLast\"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new NotImplementedError},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),GlobalAveragePooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?mean(t,[1,2]):mean(t,[2,3])})},t.className=\"GlobalAveragePooling2D\",t}(GlobalPooling2D);serialization.registerClass(GlobalAveragePooling2D);var GlobalMaxPooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?max(t,[1,2]):max(t,[2,3])})},t.className=\"GlobalMaxPooling2D\",t}(GlobalPooling2D);function standardizeArgs(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new ValueError(\"When inputs is an array, neither initialState or constants should be provided\");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function i(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=i(t),constants:n=i(n)}}function rnn(e,t,n,r,i,a,o,s){void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1);var l=t.shape.length;if(l<3)throw new ValueError(\"Input should be at least 3D, but is \"+l+\"D.\");var u,c,p=[1,0].concat(range(2,l));if(t=transpose(t,p),null!=i)throw new NotImplementedError(\"The rnn() function of the deeplearn.js backend does not support masking yet.\");if(null!=a)throw new NotImplementedError(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");o&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),r&&(t=reverse(t,0));for(var h=n,d=t.shape[0],f=function(n){var r=sliceAlongFirstAxis(t,n,1);r=r.reshape(r.shape.slice(1));var i=tidy(function(){return e(r,h)});if(c=i[0],s)if(0===n)u=c.expandDims(1);else{var a=concat([u,c.expandDims(1)],1);u.dispose(),u=a}h=i[1]},g=0;g<d;++g)f(g);return[c,u,h]}serialization.registerClass(GlobalMaxPooling2D);var RNN=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new ValueError(\"cell property is missing for the constructor of RNN.\");if(null==(n=Array.isArray(t.cell)?new StackedRNNCells({cells:t.cell}):t.cell).stateSize)throw new ValueError(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new InputSpec({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r.keptStates=[],r}return __extends(t,e),t.prototype.getStates=function(){return null==this.states?range(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var i=[],a=0,o=t;a<o.length;a++){var s=o[a];i.push([e[0],s])}return[n].concat(i)}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for RNN yet\")},t.prototype.build=function(e){if(null!=this.numConstants)throw new NotImplementedError(\"Constants support is not implemented in RNN yet.\");isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new InputSpec({shape:[t,null,n]});var r,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),r))throw new ValueError(\"An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=\"+this.stateSpec+\"; However cell.stateSize is \"+this.cell.stateSize)}else this.stateSpec=r.map(function(e){return new InputSpec({shape:[null,e]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),tidy(function(){if(!n.stateful)throw new AttributeError(\"Cannot call resetStates() on an RNN Layer that is not stateful.\");var r=n.inputSpec[0].shape[0];if(null==r)throw new ValueError(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(null==n.states)Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return zeros([r,e])}):n.states=[zeros([r,n.cell.stateSize])];else if(null==e)dispose(n.states),null!=n.keptStates&&(dispose(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states=n.cell.stateSize.map(function(e){return zeros([r,e])}):n.states[0]=zeros([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states.length)throw new ValueError(\"Layer \"+n.name+\" expects \"+n.states.length+\" state(s), but it received \"+e.length+\" state value(s). Input received: \"+e);!0===t?n.keptStates.push(n.states.slice()):dispose(n.states);for(var i=0;i<n.states.length;++i){var a=e[i],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[i]:n.cell.stateSize,s=[r,o];if(!util.arraysEqual(a.shape,s))throw new ValueError(\"State \"+i+\" is incompatible with layer \"+n.name+\": expected shape=\"+s+\", received shape=\"+a.shape);n.states[i]=a}}n.states.forEach(function(e){return keep(e)})})},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);t=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var l=0,u=r;l<u.length;l++){var c=u[l];this.stateSpec.push(new InputSpec({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof SymbolicTensor){var p=[t].concat(o),h=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=h;var f=e.prototype.apply.call(this,p,n);return this.inputSpec=d,f}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null==t?null:t.mask,i=null==t?null:t.training,a=null==t?null:t.initialState;if(e=getExactlyOneTensor(e),null==a&&(a=n.stateful?n.states:n.getInitialState(e)),null!=r)throw new NotImplementedError(\"Masking is not implemented for RNN yet\");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new ValueError(\"RNN Layer has \"+o+\" state(s) but was passed \"+a.length+\" initial state(s).\");n.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");var s={training:i},l=rnn(function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]},e,a,n.goBackwards,null,null,n.unroll,n.returnSequences),u=l[0],c=l[1],p=l[2];n.stateful&&n.resetStates(p,i);var h=n.returnSequences?c:u;return n.returnState?[h].concat(p):h})},t.prototype.getInitialState=function(e){var t=this;return tidy(function(){var n=zeros(e.shape);return n=expandDims(n=sum(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?tile$1(n,[1,e]):n}):t.cell.stateSize>1?[tile$1(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className=\"RNN\",t}(Layer);serialization.registerClass(RNN);var RNNCell=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(Layer),SimpleRNNCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e),this.kernel=this.addWeight(\"kernel\",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"SimpleRNNCell expects 2 input Tensors, got \"+e.length+\".\");var r=e[1];e=e[0];var i,a=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,a)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(r)},n.recurrentDropout,a));var o=n.dropoutMask,s=n.recurrentDropoutMask;i=dot(null!=o?mul(e,o):e,n.kernel.read()),null!=n.bias&&(i=biasAdd(i,n.bias.read())),null!=s&&(r=mul(r,s));var l=add(i,dot(r,n.recurrentKernel.read()));return null!=n.activation&&(l=n.activation.apply(l)),[l,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"SimpleRNNCell\",t}(RNNCell);serialization.registerClass(SimpleRNNCell);var SimpleRNN=function(e){function t(t){return t.cell=new SimpleRNNCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className=\"SimpleRNN\",t}(RNN);serialization.registerClass(SimpleRNN);var GRUCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t=(e=getExactlyOneShape(e))[e.length-1];this.kernel=this.addWeight(\"kernel\",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"GRUCell expects 2 input Tensors (inputs, h, c), got \"+e.length+\".\");var r=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,3)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,3));var a,o,s,l=n.dropoutMask,u=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=mul(e,l[0]));var c=dot(e,n.kernel.read());n.useBias&&(c=biasAdd(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=mul(i,u[0]));var p=n.recurrentKernel.read(),h=split(p,[2*n.units,n.units],p.rank-1),d=h[0],f=h[1],g=dot(i,d),m=split(c,3,c.rank-1),y=m[0],v=m[1],b=m[2],w=split(g,2,g.rank-1),z=w[0],S=w[1];a=n.recurrentActivation.apply(add(y,z)),o=n.recurrentActivation.apply(add(v,S));var I=dot(mul(o,i),f);s=n.activation.apply(add(b,I));var N=add(mul(a,i),mul(add(getScalar(1),neg(a)),s));return[N,N]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"GRUCell\",t}(RNNCell);serialization.registerClass(GRUCell);var GRU=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new GRUCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"GRU\",t}(RNN);serialization.registerClass(GRU);var LSTMCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return __extends(t,e),t.prototype.build=function(e){var t,n,r=(e=getExactlyOneShape(e))[e.length-1];if(this.kernel=this.addWeight(\"kernel\",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){var n=i.apply([a]),r=(new Ones).apply([a]),o=i.apply([2*a]);return concatAlongFirstAxis(concatAlongFirstAxis(n,r),o)},t}(Initializer)).className=\"CustomInit\",n)}else t=this.biasInitializer;this.bias=this.addWeight(\"bias\",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new ValueError(\"LSTMCell expects 3 input Tensors (inputs, h, c), got \"+e.length+\".\");var i=e[1],a=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=generateDropoutMask(function(){return onesLike(e)},n.dropout,r,4)),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=generateDropoutMask(function(){return onesLike(i)},n.recurrentDropout,r,4));var o,s,l,u,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=mul(e,c[0]));var h=dot(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=mul(i,p[0])),h=add(h,dot(i,n.recurrentKernel.read())),n.useBias&&(h=biasAdd(h,n.bias.read()));var d=split(h,4,h.rank-1),f=d[0],g=d[1],m=d[2],y=d[3];o=n.recurrentActivation.apply(f),s=n.recurrentActivation.apply(g),l=add(mul(s,a),mul(o,n.activation.apply(m))),u=n.recurrentActivation.apply(y);var v=mul(u,n.activation.apply(l));return[v,v,l]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LSTMCell\",t}(RNNCell);serialization.registerClass(LSTMCell);var LSTM=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new LSTMCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){null!=r.cell.dropoutMask&&(dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"unitForgetBias\",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"LSTM\",t}(RNN);serialization.registerClass(LSTM);var StackedRNNCells=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return __extends(t,e),Object.defineProperty(t.prototype,\"stateSize\",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return tidy(function(){for(var r=(e=e).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var l,u=[],c=0;c<n.cells.length;++c){s=n.cells[c];r=i[c],l=0===c?[e[0]].concat(r):[l[0]].concat(r),l=s.call(l,t),u.push(l.slice(1))}r=[];for(var p=0,h=u.slice().reverse();p<h.length;p++){var d=h[p];r.push.apply(r,d)}return[l[0]].concat(r)})},t.prototype.build=function(e){var t;isArrayOfShapes(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(e),t=Array.isArray(i.stateSize)?i.stateSize[0]:i.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];t.push({className:this.getClassName(),config:i.getConfig()})}var a={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(a,o),a},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],i=0,a=t.cells;i<a.length;i++){var o=a[i];r.push(deserialize(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return batchGetValue(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=e.splice(a),s=0;s<i.weights.length;++s)t.push([i.weights[s],o[s]]);batchSetValue(t)},t.className=\"StackedRNNCells\",t}(RNNCell);function generateDropoutMask(e,t,n,r){function i(){return dropout(e(),getScalar(t))}if(void 0===n&&(n=null),void 0===r&&(r=1),r>1){for(var a=[],o=0;o<r;o++)a.push(inTrainPhase(i,e,n));return a.forEach(function(e){return keep(e)}),a}return keep(inTrainPhase(i,e,n))}serialization.registerClass(StackedRNNCells);var Wrapper=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return __extends(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,\"trainable\",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"updates\",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=deserialize(t.layer,n);delete t.layer;var i={layer:r};return Object.assign(i,t),new e(i)},t}(Layer),TimeDistributed=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.build=function(t){if((t=getExactlyOneShape(t)).length<3)throw new ValueError(\"TimeDistributed layer expects an input shape >= 3D, but received input shape \"+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},t.prototype.computeOutputShape=function(e){var t=[(e=getExactlyOneShape(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},t.prototype.call=function(e,t){var n=this;return tidy(function(){return rnn(function(e,r){return[getExactlyOneTensor(n.layer.call(e,t)),[]]},e=getExactlyOneTensor(e),[],!1,null,null,!1,!0)[1]})},t.className=\"TimeDistributed\",t}(Wrapper);serialization.registerClass(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES=[\"sum\",\"mul\",\"concat\",\"ave\"];function checkBidirectionalMergeMode(e){checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES,\"BidirectionalMergeMode\",e)}var Bidirectional=function(e){function t(t){var n=e.call(this,t)||this,r=t.layer.getConfig();if(n.forwardLayer=deserialize({className:t.layer.getClassName(),config:r}),r.goBackwards=!0!==r.goBackwards,n.backwardLayer=deserialize({className:t.layer.getClassName(),config:r}),n.forwardLayer.name=\"forward_\"+n.forwardLayer.name,n.backwardLayer.name=\"backward_\"+n.backwardLayer.name,checkBidirectionalMergeMode(t.mergeMode),n.mergeMode=t.mergeMode,t.weights)throw new NotImplementedError(\"weights support is not implemented for Bidirectional layer yet.\");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}return __extends(t,e),Object.defineProperty(t.prototype,\"trainable\",{get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},t.prototype.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},t.prototype.computeOutputShape=function(e){var t,n,r,i=this.forwardLayer.computeOutputShape(e);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),t=i[0]):t=i[0],t=t,\"concat\"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):singletonOrArray(n)},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=standardizeArgs(t,r,i,this.numConstants);if(t=a.inputs,r=a.initialState,i=a.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==i)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var l=r.length;if(l%2>0)throw new ValueError(\"When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.\");n.initialState=r,o.push.apply(o,r);var u=r.map(function(e){return new InputSpec({shape:e.shape})});this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),s.push.apply(s,u)}if(null!=i)throw new NotImplementedError(\"Support for constants in Bidirectional layers is not implemented yet.\");for(var c=o[0]instanceof SymbolicTensor,p=0,h=o;p<h.length;p++){if(h[p]instanceof SymbolicTensor!==c)throw new ValueError(\"The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors\")}if(c){var d=[t].concat(o),f=this.inputSpec.concat(s),g=this.inputSpec;this.inputSpec=f;var m=e.prototype.apply.call(this,d,n);return this.inputSpec=g,m}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(null!=t.mask)throw new NotImplementedError(\"The support for masking is not implemented for Bidirectional layers yet.\");var r,i,a,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),i=n.backwardLayer.call(e,t);else{var l=s.slice(0,s.length/2),u=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:l})),i=n.backwardLayer.call(e,Object.assign(t,{initialState:u}))}return n.returnState&&(Array.isArray(r)&&(a=r.slice(1).concat(i.slice(1))),r=r[0],i=i[0]),n.returnSequences&&(i=reverse(i,1)),\"concat\"===n.mergeMode?o=concatenate([r,i]):\"sum\"===n.mergeMode?o=add(r,i):\"ave\"===n.mergeMode?o=mul(getScalar(.5),add(r,i)):\"mul\"===n.mergeMode?o=mul(r,i):null==n.mergeMode&&(o=[r,i]),n.returnState?null==n.mergeMode?o.concat(a):[o].concat(a):o})},t.prototype.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},t.prototype.build=function(e){var t=this;nameScope(this.forwardLayer.name,function(){t.forwardLayer.build(e)}),nameScope(this.backwardLayer.name,function(){t.backwardLayer.build(e)}),this.built=!0},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=deserialize(t.layer);if(delete t.layer,null!=t.numConstants)throw new NotImplementedError(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");var r=t;return r.layer=n,new e(r)},t.className=\"Bidirectional\",t}(Wrapper);function inputLayer(e){return new InputLayer(e)}function elu$2(e){return new ELU(e)}function reLU(e){return new ReLU(e)}function leakyReLU(e){return new LeakyReLU(e)}function softmax$1(e){return new Softmax$1(e)}function thresholdedReLU(e){return new ThresholdedReLU(e)}function conv1d$2(e){return new Conv1D(e)}function conv2d$2(e){return new Conv2D(e)}function conv2dTranspose$1(e){return new Conv2DTranspose(e)}function separableConv2d$1(e){return new SeparableConv2D(e)}function cropping2D(e){return new Cropping2D(e)}function upSampling2d(e){return new UpSampling2D(e)}function depthwiseConv2d$2(e){return new DepthwiseConv2D(e)}function activation(e){return new Activation$1(e)}function dense(e){return new Dense(e)}function dropout$1(e){return new Dropout(e)}function flatten$1(e){return new Flatten(e)}function repeatVector(e){return new RepeatVector(e)}function reshape(e){return new Reshape(e)}function permute(e){return new Permute(e)}function embedding(e){return new Embedding(e)}function add$2(e){return new Add(e)}function average$1(e){return new Average(e)}function concatenate$2(e){return new Concatenate(e)}function maximum$2(e){return new Maximum(e)}function minimum$2(e){return new Minimum(e)}function multiply$1(e){return new Multiply(e)}function dot$1(e){return new Dot(e)}function batchNormalization$1(e){return new BatchNormalization(e)}function zeroPadding2d(e){return new ZeroPadding2D(e)}function averagePooling1d(e){return new AveragePooling1D(e)}function avgPool1d(e){return averagePooling1d(e)}function avgPooling1d(e){return averagePooling1d(e)}function averagePooling2d(e){return new AveragePooling2D(e)}function avgPool2d(e){return averagePooling2d(e)}function avgPooling2d(e){return averagePooling2d(e)}function globalAveragePooling1d(e){return new GlobalAveragePooling1D(e)}function globalAveragePooling2d(e){return new GlobalAveragePooling2D(e)}function globalMaxPooling1d(e){return new GlobalMaxPooling1D(e)}function globalMaxPooling2d(e){return new GlobalMaxPooling2D(e)}function maxPooling1d(e){return new MaxPooling1D(e)}function maxPooling2d(e){return new MaxPooling2D(e)}function gru(e){return new GRU(e)}function gruCell(e){return new GRUCell(e)}function lstm(e){return new LSTM(e)}function lstmCell(e){return new LSTMCell(e)}function simpleRNN(e){return new SimpleRNN(e)}function simpleRNNCell(e){return new SimpleRNNCell(e)}function rnn$1(e){return new RNN(e)}function stackedRNNCells(e){return new StackedRNNCells(e)}function bidirectional(e){return new Bidirectional(e)}function timeDistributed(e){return new TimeDistributed(e)}serialization.registerClass(Bidirectional);var globalMaxPool1d=globalMaxPooling1d,globalMaxPool2d=globalMaxPooling2d,maxPool1d=maxPooling1d,maxPool2d=maxPooling2d,exports_layers=Object.freeze({inputLayer:inputLayer,elu:elu$2,reLU:reLU,leakyReLU:leakyReLU,softmax:softmax$1,thresholdedReLU:thresholdedReLU,conv1d:conv1d$2,conv2d:conv2d$2,conv2dTranspose:conv2dTranspose$1,separableConv2d:separableConv2d$1,cropping2D:cropping2D,upSampling2d:upSampling2d,depthwiseConv2d:depthwiseConv2d$2,activation:activation,dense:dense,dropout:dropout$1,flatten:flatten$1,repeatVector:repeatVector,reshape:reshape,permute:permute,embedding:embedding,add:add$2,average:average$1,concatenate:concatenate$2,maximum:maximum$2,minimum:minimum$2,multiply:multiply$1,dot:dot$1,batchNormalization:batchNormalization$1,zeroPadding2d:zeroPadding2d,averagePooling1d:averagePooling1d,avgPool1d:avgPool1d,avgPooling1d:avgPooling1d,averagePooling2d:averagePooling2d,avgPool2d:avgPool2d,avgPooling2d:avgPooling2d,globalAveragePooling1d:globalAveragePooling1d,globalAveragePooling2d:globalAveragePooling2d,globalMaxPooling1d:globalMaxPooling1d,globalMaxPooling2d:globalMaxPooling2d,maxPooling1d:maxPooling1d,maxPooling2d:maxPooling2d,gru:gru,gruCell:gruCell,lstm:lstm,lstmCell:lstmCell,simpleRNN:simpleRNN,simpleRNNCell:simpleRNNCell,rnn:rnn$1,stackedRNNCells:stackedRNNCells,bidirectional:bidirectional,timeDistributed:timeDistributed,globalMaxPool1d:globalMaxPool1d,globalMaxPool2d:globalMaxPool2d,maxPool1d:maxPool1d,maxPool2d:maxPool2d,Layer:Layer,RNN:RNN,RNNCell:RNNCell,input:input}),exports_models=Object.freeze({modelFromJSON:modelFromJSON});function binaryAccuracy$1(e,t){return binaryAccuracy(e,t)}function binaryCrossentropy$2(e,t){return binaryCrossentropy$1(e,t)}function categoricalAccuracy$1(e,t){return categoricalAccuracy(e,t)}function categoricalCrossentropy$2(e,t){return categoricalCrossentropy$1(e,t)}function precision$1(e,t){return precision(e,t)}function recall$1(e,t){return recall(e,t)}function cosineProximity$1(e,t){return cosineProximity(e,t)}function meanAbsoluteError$1(e,t){return meanAbsoluteError(e,t)}function meanAbsolutePercentageError$1(e,t){return meanAbsolutePercentageError(e,t)}function MAPE$2(e,t){return meanAbsolutePercentageError(e,t)}function mape$2(e,t){return meanAbsolutePercentageError(e,t)}function meanSquaredError$1(e,t){return meanSquaredError(e,t)}function MSE$2(e,t){return meanSquaredError(e,t)}function mse$2(e,t){return meanSquaredError(e,t)}var exports_metrics=Object.freeze({binaryAccuracy:binaryAccuracy$1,binaryCrossentropy:binaryCrossentropy$2,categoricalAccuracy:categoricalAccuracy$1,categoricalCrossentropy:categoricalCrossentropy$2,precision:precision$1,recall:recall$1,cosineProximity:cosineProximity$1,meanAbsoluteError:meanAbsoluteError$1,meanAbsolutePercentageError:meanAbsolutePercentageError$1,MAPE:MAPE$2,mape:mape$2,meanSquaredError:meanSquaredError$1,MSE:MSE$2,mse:mse$2});function l1l2(e){return new L1L2(e)}function l1$1(e){return l1(e)}function l2$1(e){return l2(e)}var exports_regularizers=Object.freeze({l1l2:l1l2,l1:l1$1,l2:l2$1}),Callback=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t.model=null,t}return __extends(t,e),t.prototype.setModel=function(e){if(!(e instanceof Model))throw new Error(\"model must be a Model, not some other Container\");this.model=e},t}(BaseCallback);export{exports_constraints as constraints,exports_initializers as initializers,exports_layers as layers,exports_models as models,exports_metrics as metrics,exports_regularizers as regularizers,CallbackList,CustomCallback,History,Callback,InputSpec,SymbolicTensor,Model,input,loadModel,model,registerCallbackConstructor,sequential,RNN,Sequential,LayerVariable,version as version_layers};\n//# sourceMappingURL=tf-layers.esm.js.map\n","// @tensorflow/tfjs Copyright 2018 Google\nimport{version_core}from\"@tensorflow/tfjs-core\";export*from\"@tensorflow/tfjs-core\";import{version_layers}from\"@tensorflow/tfjs-layers\";export*from\"@tensorflow/tfjs-layers\";import{version_converter}from\"@tensorflow/tfjs-converter\";export*from\"@tensorflow/tfjs-converter\";var version=\"0.13.5\",version$1={\"tfjs-core\":version_core,\"tfjs-layers\":version_layers,\"tfjs-converter\":version_converter,tfjs:version};export{version$1 as version};\n//# sourceMappingURL=tf.esm.js.map\n","\"use strict\";\n\nexports.__esModule = true;\n\nvar _from = require(\"../core-js/array/from\");\n\nvar _from2 = _interopRequireDefault(_from);\n\nfunction _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }\n\nexports.default = function (arr) {\n  if (Array.isArray(arr)) {\n    for (var i = 0, arr2 = Array(arr.length); i < arr.length; i++) {\n      arr2[i] = arr[i];\n    }\n\n    return arr2;\n  } else {\n    return (0, _from2.default)(arr);\n  }\n};","// Copyright (c) 2019 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n\n/**\n * a list to store all functions to hook p5 preload\n * @param {obj} object or prototype to wrap with\n * @returns obj\n */\nexport default function registerPreload(obj) {\n  if (typeof window === 'undefined') return obj;\n  if (typeof window.p5 === 'undefined') return obj;\n  if (typeof window.p5.prototype === 'undefined') return obj;\n  if (typeof window.p5.prototype.registerPreloadMethod === 'undefined') return obj;\n\n  const preloadFn = obj;\n  Object.keys(obj).forEach((key) => {\n    const fn = obj[key];\n\n    preloadFn[key] = function preloads(...args) {\n      let originCallback = null;\n      let argLen = args.length;\n      if (typeof args[argLen - 1] === 'function') {\n        // find callback function attached\n        originCallback = args[argLen - 1];\n        argLen -= 1;\n      }\n      return fn.apply(obj, [...args.slice(0, argLen), function doingPreloads() {\n        const targetPreloadFn = '_decrementPreload';\n        try {\n          if (originCallback) originCallback();\n        } catch (err) {\n          console.error(err);\n        }\n        if (window[targetPreloadFn]) return window[targetPreloadFn]();\n        return null;\n      }]);\n    };\n    window.p5.prototype.registerPreloadMethod(`${key}`, obj);\n  });\n\n  return obj;\n}\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar ctx = require('./_ctx');\nvar forOf = require('./_for-of');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { from: function from(source /* , mapFn, thisArg */) {\n    var mapFn = arguments[1];\n    var mapping, A, n, cb;\n    aFunction(this);\n    mapping = mapFn !== undefined;\n    if (mapping) aFunction(mapFn);\n    if (source == undefined) return new this();\n    A = [];\n    if (mapping) {\n      n = 0;\n      cb = ctx(mapFn, arguments[2], 2);\n      forOf(source, false, function (nextItem) {\n        A.push(cb(nextItem, n++));\n      });\n    } else {\n      forOf(source, false, A.push, A);\n    }\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.from\nrequire('./_set-collection-from')('Set');\n","'use strict';\n// https://tc39.github.io/proposal-setmap-offrom/\nvar $export = require('./_export');\n\nmodule.exports = function (COLLECTION) {\n  $export($export.S, COLLECTION, { of: function of() {\n    var length = arguments.length;\n    var A = new Array(length);\n    while (length--) A[length] = arguments[length];\n    return new this(A);\n  } });\n};\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.of\nrequire('./_set-collection-of')('Set');\n","var forOf = require('./_for-of');\n\nmodule.exports = function (iter, ITERATOR) {\n  var result = [];\n  forOf(iter, false, result.push, result, ITERATOR);\n  return result;\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar classof = require('./_classof');\nvar from = require('./_array-from-iterable');\nmodule.exports = function (NAME) {\n  return function toJSON() {\n    if (classof(this) != NAME) throw TypeError(NAME + \"#toJSON isn't generic\");\n    return from(this);\n  };\n};\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Set', { toJSON: require('./_collection-to-json')('Set') });\n","var isObject = require('./_is-object');\nvar isArray = require('./_is-array');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (original) {\n  var C;\n  if (isArray(original)) {\n    C = original.constructor;\n    // cross-realm fallback\n    if (typeof C == 'function' && (C === Array || isArray(C.prototype))) C = undefined;\n    if (isObject(C)) {\n      C = C[SPECIES];\n      if (C === null) C = undefined;\n    }\n  } return C === undefined ? Array : C;\n};\n","// 9.4.2.3 ArraySpeciesCreate(originalArray, length)\nvar speciesConstructor = require('./_array-species-constructor');\n\nmodule.exports = function (original, length) {\n  return new (speciesConstructor(original))(length);\n};\n","// 0 -> Array#forEach\n// 1 -> Array#map\n// 2 -> Array#filter\n// 3 -> Array#some\n// 4 -> Array#every\n// 5 -> Array#find\n// 6 -> Array#findIndex\nvar ctx = require('./_ctx');\nvar IObject = require('./_iobject');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar asc = require('./_array-species-create');\nmodule.exports = function (TYPE, $create) {\n  var IS_MAP = TYPE == 1;\n  var IS_FILTER = TYPE == 2;\n  var IS_SOME = TYPE == 3;\n  var IS_EVERY = TYPE == 4;\n  var IS_FIND_INDEX = TYPE == 6;\n  var NO_HOLES = TYPE == 5 || IS_FIND_INDEX;\n  var create = $create || asc;\n  return function ($this, callbackfn, that) {\n    var O = toObject($this);\n    var self = IObject(O);\n    var f = ctx(callbackfn, that, 3);\n    var length = toLength(self.length);\n    var index = 0;\n    var result = IS_MAP ? create($this, length) : IS_FILTER ? create($this, 0) : undefined;\n    var val, res;\n    for (;length > index; index++) if (NO_HOLES || index in self) {\n      val = self[index];\n      res = f(val, index, O);\n      if (TYPE) {\n        if (IS_MAP) result[index] = res;   // map\n        else if (res) switch (TYPE) {\n          case 3: return true;             // some\n          case 5: return val;              // find\n          case 6: return index;            // findIndex\n          case 2: result.push(val);        // filter\n        } else if (IS_EVERY) return false; // every\n      }\n    }\n    return IS_FIND_INDEX ? -1 : IS_SOME || IS_EVERY ? IS_EVERY : result;\n  };\n};\n","'use strict';\nvar global = require('./_global');\nvar $export = require('./_export');\nvar meta = require('./_meta');\nvar fails = require('./_fails');\nvar hide = require('./_hide');\nvar redefineAll = require('./_redefine-all');\nvar forOf = require('./_for-of');\nvar anInstance = require('./_an-instance');\nvar isObject = require('./_is-object');\nvar setToStringTag = require('./_set-to-string-tag');\nvar dP = require('./_object-dp').f;\nvar each = require('./_array-methods')(0);\nvar DESCRIPTORS = require('./_descriptors');\n\nmodule.exports = function (NAME, wrapper, methods, common, IS_MAP, IS_WEAK) {\n  var Base = global[NAME];\n  var C = Base;\n  var ADDER = IS_MAP ? 'set' : 'add';\n  var proto = C && C.prototype;\n  var O = {};\n  if (!DESCRIPTORS || typeof C != 'function' || !(IS_WEAK || proto.forEach && !fails(function () {\n    new C().entries().next();\n  }))) {\n    // create collection constructor\n    C = common.getConstructor(wrapper, NAME, IS_MAP, ADDER);\n    redefineAll(C.prototype, methods);\n    meta.NEED = true;\n  } else {\n    C = wrapper(function (target, iterable) {\n      anInstance(target, C, NAME, '_c');\n      target._c = new Base();\n      if (iterable != undefined) forOf(iterable, IS_MAP, target[ADDER], target);\n    });\n    each('add,clear,delete,forEach,get,has,set,keys,values,entries,toJSON'.split(','), function (KEY) {\n      var IS_ADDER = KEY == 'add' || KEY == 'set';\n      if (KEY in proto && !(IS_WEAK && KEY == 'clear')) hide(C.prototype, KEY, function (a, b) {\n        anInstance(this, C, KEY);\n        if (!IS_ADDER && IS_WEAK && !isObject(a)) return KEY == 'get' ? undefined : false;\n        var result = this._c[KEY](a === 0 ? 0 : a, b);\n        return IS_ADDER ? this : result;\n      });\n    });\n    IS_WEAK || dP(C.prototype, 'size', {\n      get: function () {\n        return this._c.size;\n      }\n    });\n  }\n\n  setToStringTag(C, NAME);\n\n  O[NAME] = C;\n  $export($export.G + $export.W + $export.F, O);\n\n  if (!IS_WEAK) common.setStrong(C, NAME, IS_MAP);\n\n  return C;\n};\n","'use strict';\nvar dP = require('./_object-dp').f;\nvar create = require('./_object-create');\nvar redefineAll = require('./_redefine-all');\nvar ctx = require('./_ctx');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar $iterDefine = require('./_iter-define');\nvar step = require('./_iter-step');\nvar setSpecies = require('./_set-species');\nvar DESCRIPTORS = require('./_descriptors');\nvar fastKey = require('./_meta').fastKey;\nvar validate = require('./_validate-collection');\nvar SIZE = DESCRIPTORS ? '_s' : 'size';\n\nvar getEntry = function (that, key) {\n  // fast case\n  var index = fastKey(key);\n  var entry;\n  if (index !== 'F') return that._i[index];\n  // frozen object case\n  for (entry = that._f; entry; entry = entry.n) {\n    if (entry.k == key) return entry;\n  }\n};\n\nmodule.exports = {\n  getConstructor: function (wrapper, NAME, IS_MAP, ADDER) {\n    var C = wrapper(function (that, iterable) {\n      anInstance(that, C, NAME, '_i');\n      that._t = NAME;         // collection type\n      that._i = create(null); // index\n      that._f = undefined;    // first entry\n      that._l = undefined;    // last entry\n      that[SIZE] = 0;         // size\n      if (iterable != undefined) forOf(iterable, IS_MAP, that[ADDER], that);\n    });\n    redefineAll(C.prototype, {\n      // 23.1.3.1 Map.prototype.clear()\n      // 23.2.3.2 Set.prototype.clear()\n      clear: function clear() {\n        for (var that = validate(this, NAME), data = that._i, entry = that._f; entry; entry = entry.n) {\n          entry.r = true;\n          if (entry.p) entry.p = entry.p.n = undefined;\n          delete data[entry.i];\n        }\n        that._f = that._l = undefined;\n        that[SIZE] = 0;\n      },\n      // 23.1.3.3 Map.prototype.delete(key)\n      // 23.2.3.4 Set.prototype.delete(value)\n      'delete': function (key) {\n        var that = validate(this, NAME);\n        var entry = getEntry(that, key);\n        if (entry) {\n          var next = entry.n;\n          var prev = entry.p;\n          delete that._i[entry.i];\n          entry.r = true;\n          if (prev) prev.n = next;\n          if (next) next.p = prev;\n          if (that._f == entry) that._f = next;\n          if (that._l == entry) that._l = prev;\n          that[SIZE]--;\n        } return !!entry;\n      },\n      // 23.2.3.6 Set.prototype.forEach(callbackfn, thisArg = undefined)\n      // 23.1.3.5 Map.prototype.forEach(callbackfn, thisArg = undefined)\n      forEach: function forEach(callbackfn /* , that = undefined */) {\n        validate(this, NAME);\n        var f = ctx(callbackfn, arguments.length > 1 ? arguments[1] : undefined, 3);\n        var entry;\n        while (entry = entry ? entry.n : this._f) {\n          f(entry.v, entry.k, this);\n          // revert to the last existing entry\n          while (entry && entry.r) entry = entry.p;\n        }\n      },\n      // 23.1.3.7 Map.prototype.has(key)\n      // 23.2.3.7 Set.prototype.has(value)\n      has: function has(key) {\n        return !!getEntry(validate(this, NAME), key);\n      }\n    });\n    if (DESCRIPTORS) dP(C.prototype, 'size', {\n      get: function () {\n        return validate(this, NAME)[SIZE];\n      }\n    });\n    return C;\n  },\n  def: function (that, key, value) {\n    var entry = getEntry(that, key);\n    var prev, index;\n    // change existing entry\n    if (entry) {\n      entry.v = value;\n    // create new entry\n    } else {\n      that._l = entry = {\n        i: index = fastKey(key, true), // <- index\n        k: key,                        // <- key\n        v: value,                      // <- value\n        p: prev = that._l,             // <- previous entry\n        n: undefined,                  // <- next entry\n        r: false                       // <- removed\n      };\n      if (!that._f) that._f = entry;\n      if (prev) prev.n = entry;\n      that[SIZE]++;\n      // add to index\n      if (index !== 'F') that._i[index] = entry;\n    } return that;\n  },\n  getEntry: getEntry,\n  setStrong: function (C, NAME, IS_MAP) {\n    // add .keys, .values, .entries, [@@iterator]\n    // 23.1.3.4, 23.1.3.8, 23.1.3.11, 23.1.3.12, 23.2.3.5, 23.2.3.8, 23.2.3.10, 23.2.3.11\n    $iterDefine(C, NAME, function (iterated, kind) {\n      this._t = validate(iterated, NAME); // target\n      this._k = kind;                     // kind\n      this._l = undefined;                // previous\n    }, function () {\n      var that = this;\n      var kind = that._k;\n      var entry = that._l;\n      // revert to the last existing entry\n      while (entry && entry.r) entry = entry.p;\n      // get next entry\n      if (!that._t || !(that._l = entry = entry ? entry.n : that._t._f)) {\n        // or finish the iteration\n        that._t = undefined;\n        return step(1);\n      }\n      // return step by kind\n      if (kind == 'keys') return step(0, entry.k);\n      if (kind == 'values') return step(0, entry.v);\n      return step(0, [entry.k, entry.v]);\n    }, IS_MAP ? 'entries' : 'values', !IS_MAP, true);\n\n    // add [@@species], 23.1.2.2, 23.2.2.2\n    setSpecies(NAME);\n  }\n};\n","'use strict';\nvar strong = require('./_collection-strong');\nvar validate = require('./_validate-collection');\nvar SET = 'Set';\n\n// 23.2 Set Objects\nmodule.exports = require('./_collection')(SET, function (get) {\n  return function Set() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.2.3.1 Set.prototype.add(value)\n  add: function add(value) {\n    return strong.def(validate(this, SET), value = value === 0 ? 0 : value, value);\n  }\n}, strong);\n","require('../modules/es6.object.to-string');\nrequire('../modules/es6.string.iterator');\nrequire('../modules/web.dom.iterable');\nrequire('../modules/es6.set');\nrequire('../modules/es7.set.to-json');\nrequire('../modules/es7.set.of');\nrequire('../modules/es7.set.from');\nmodule.exports = require('../modules/_core').Set;\n","module.exports = { \"default\": require(\"core-js/library/fn/set\"), __esModule: true };","const models = [\n  'alarm_clock',\n  'ambulance',\n  'angel',\n  'ant',\n  'antyoga',\n  'backpack',\n  'barn',\n  'basket',\n  'bear',\n  'bee',\n  'beeflower',\n  'bicycle',\n  'bird',\n  'book',\n  'brain',\n  'bridge',\n  'bulldozer',\n  'bus',\n  'butterfly',\n  'cactus',\n  'calendar',\n  'castle',\n  'cat',\n  'catbus',\n  'catpig',\n  'chair',\n  'couch',\n  'crab',\n  'crabchair',\n  'crabrabbitfacepig',\n  'cruise_ship',\n  'diving_board',\n  'dog',\n  'dogbunny',\n  'dolphin',\n  'duck',\n  'elephant',\n  'elephantpig',\n  'eye',\n  'face',\n  'fan',\n  'fire_hydrant',\n  'firetruck',\n  'flamingo',\n  'flower',\n  'floweryoga',\n  'frog',\n  'frogsofa',\n  'garden',\n  'hand',\n  'hedgeberry',\n  'hedgehog',\n  'helicopter',\n  'kangaroo',\n  'key',\n  'lantern',\n  'lighthouse',\n  'lion',\n  'lionsheep',\n  'lobster',\n  'map',\n  'mermaid',\n  'monapassport',\n  'monkey',\n  'mosquito',\n  'octopus',\n  'owl',\n  'paintbrush',\n  'palm_tree',\n  'parrot',\n  'passport',\n  'peas',\n  'penguin',\n  'pig',\n  'pigsheep',\n  'pineapple',\n  'pool',\n  'postcard',\n  'power_outlet',\n  'rabbit',\n  'rabbitturtle',\n  'radio',\n  'radioface',\n  'rain',\n  'rhinoceros',\n  'rifle',\n  'roller_coaster',\n  'sandwich',\n  'scorpion',\n  'sea_turtle',\n  'sheep',\n  'skull',\n  'snail',\n  'snowflake',\n  'speedboat',\n  'spider',\n  'squirrel',\n  'steak',\n  'stove',\n  'strawberry',\n  'swan',\n  'swing_set',\n  'the_mona_lisa',\n  'tiger',\n  'toothbrush',\n  'toothpaste',\n  'tractor',\n  'trombone',\n  'truck',\n  'whale',\n  'windmill',\n  'yoga',\n  'yogabicycle',\n  'everything',\n];\n\nconst modelPaths = new Set(models);\n\nexport default modelPaths;\n","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nfunction stringToUint8array(b64encoded) {\n    var u8 = new Uint8Array(atob(b64encoded)\n        .split(\"\")\n        .map(function (c) {\n        return c.charCodeAt(0);\n    }));\n    return u8;\n}\nexports.stringToUint8array = stringToUint8array;\nfunction stringToArray(b64encoded) {\n    var u = stringToUint8array(b64encoded);\n    var result = new Int16Array(u.buffer);\n    return result;\n}\nexports.stringToArray = stringToArray;\nvar returnV = false;\nvar vVal = 0.0;\nfunction gaussRandom() {\n    if (returnV) {\n        returnV = false;\n        return vVal;\n    }\n    var u = 2 * Math.random() - 1;\n    var v = 2 * Math.random() - 1;\n    var r = u * u + v * v;\n    if (r === 0 || r > 1) {\n        return gaussRandom();\n    }\n    var c = Math.sqrt(-2 * Math.log(r) / r);\n    vVal = v * c;\n    returnV = true;\n    return u * c;\n}\nexports.gaussRandom = gaussRandom;\nfunction randf(a, b) {\n    return Math.random() * (b - a) + a;\n}\nexports.randf = randf;\nfunction randi(a, b) {\n    return Math.floor(Math.random() * (b - a) + a);\n}\nexports.randi = randi;\nfunction randn(mu, std) {\n    return mu + gaussRandom() * std;\n}\nexports.randn = randn;\nfunction birandn(mu1, mu2, std1, std2, rho) {\n    var z1 = randn(0, 1);\n    var z2 = randn(0, 1);\n    var x = Math.sqrt(1 - rho * rho) * std1 * z1 + rho * std1 * z2 + mu1;\n    var y = std2 * z2 + mu2;\n    return [x, y];\n}\nexports.birandn = birandn;\nfunction sampleSoftmax(zSample) {\n    var x = randf(0, 1);\n    var N = zSample.length;\n    var accumulate = 0;\n    var i;\n    for (i = 0; i < N; i++) {\n        accumulate += zSample[i];\n        if (accumulate >= x) {\n            return i;\n        }\n    }\n    console.log('error sampling pi index');\n    return -1;\n}\nexports.sampleSoftmax = sampleSoftmax;\nfunction simplifyLine(V, tolerance) {\n    if (tolerance === void 0) { tolerance = 2.0; }\n    var tol = tolerance;\n    function diff(u, v) {\n        return [u[0] - v[0], u[1] - v[1]];\n    }\n    function dot(u, v) {\n        return u[0] * v[0] + u[1] * v[1];\n    }\n    function norm2(v) {\n        return v[0] * v[0] + v[1] * v[1];\n    }\n    function d2(u, v) { return norm2(diff(u, v)); }\n    function simplifyDP(tol, v, j, k, mk) {\n        if (k <= j + 1) {\n            return;\n        }\n        var maxi = j;\n        var maxd2 = 0;\n        var tol2 = tol * tol;\n        var S = [v[j], v[k]];\n        var u = diff(S[1], S[0]);\n        var cu = norm2(u);\n        var w;\n        var pb;\n        var b, cw, dv2;\n        for (var i_1 = j + 1; i_1 < k; i_1++) {\n            w = diff(v[i_1], S[0]);\n            cw = dot(w, u);\n            if (cw <= 0) {\n                dv2 = d2(v[i_1], S[0]);\n            }\n            else if (cu <= cw) {\n                dv2 = d2(v[i_1], S[1]);\n            }\n            else {\n                b = cw / cu;\n                pb = [S[0][0] + b * u[0], S[0][1] + b * u[1]];\n                dv2 = d2(v[i_1], pb);\n            }\n            if (dv2 <= maxd2) {\n                continue;\n            }\n            maxi = i_1;\n            maxd2 = dv2;\n        }\n        if (maxd2 > tol2) {\n            mk[maxi] = 1;\n            simplifyDP(tol, v, j, maxi, mk);\n            simplifyDP(tol, v, maxi, k, mk);\n        }\n        return;\n    }\n    var n = V.length;\n    var sV = [];\n    var i, k, m, pv;\n    var tol2 = tol * tol;\n    var vt = [];\n    var mk = [];\n    vt[0] = V[0];\n    for (i = k = 1, pv = 0; i < n; i++) {\n        if (d2(V[i], V[pv]) < tol2) {\n            continue;\n        }\n        vt[k++] = V[i];\n        pv = i;\n    }\n    if (pv < n - 1) {\n        vt[k++] = V[n - 1];\n    }\n    mk[0] = mk[k - 1] = 1;\n    simplifyDP(tol, vt, 0, k - 1, mk);\n    for (i = m = 0; i < k; i++) {\n        if (mk[i]) {\n            sV[m++] = vt[i];\n        }\n    }\n    return sV;\n}\nexports.simplifyLine = simplifyLine;\nfunction simplifyLines(lines, tolerance) {\n    var result = [];\n    var tol = 2.0;\n    if (tolerance) {\n        tol = tolerance;\n    }\n    for (var i = 0; i < lines.length; i++) {\n        result.push(simplifyLine(lines[i], tol));\n    }\n    return result;\n}\nexports.simplifyLines = simplifyLines;\nfunction linesToStrokes(rawData) {\n    var x, y;\n    var px = 0, py = 0;\n    var dx, dy;\n    var pon, poff;\n    var stroke = [];\n    var i, j;\n    var len;\n    var p;\n    for (i = 0; i < rawData.length; i++) {\n        len = rawData[i].length;\n        if (len > 1) {\n            for (j = 0; j < len; j++) {\n                p = rawData[i][j];\n                x = p[0];\n                y = p[1];\n                if (j === len - 1) {\n                    poff = 1;\n                    pon = 0;\n                }\n                else {\n                    poff = 0;\n                    pon = 1;\n                }\n                dx = x - px;\n                dy = y - py;\n                px = x;\n                py = y;\n                stroke.push([dx, dy, pon, poff, 0]);\n            }\n        }\n    }\n    stroke.push([0, 0, 0, 0, 1]);\n    return stroke.slice(1);\n}\nexports.linesToStrokes = linesToStrokes;\nfunction lineToStroke(line, lastPoint) {\n    var pon, poff;\n    var stroke = [];\n    var len;\n    var p;\n    var dx, dy;\n    var x, y;\n    var px, py;\n    var j;\n    px = lastPoint[0];\n    py = lastPoint[1];\n    len = line.length;\n    if (len > 1) {\n        for (j = 0; j < len; j++) {\n            p = line[j];\n            x = p[0];\n            y = p[1];\n            if (j === len - 1) {\n                poff = 1;\n                pon = 0;\n            }\n            else {\n                poff = 0;\n                pon = 1;\n            }\n            dx = x - px;\n            dy = y - py;\n            px = x;\n            py = y;\n            stroke.push([dx, dy, pon, poff, 0]);\n        }\n    }\n    return stroke;\n}\nexports.lineToStroke = lineToStroke;\n//# sourceMappingURL=sketch_support.js.map","\"use strict\";\nvar __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {\n    return new (P || (P = Promise))(function (resolve, reject) {\n        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\n        function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\n        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }\n        step((generator = generator.apply(thisArg, _arguments || [])).next());\n    });\n};\nvar __generator = (this && this.__generator) || function (thisArg, body) {\n    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;\n    return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\n    function verb(n) { return function (v) { return step([n, v]); }; }\n    function step(op) {\n        if (f) throw new TypeError(\"Generator is already executing.\");\n        while (_) try {\n            if (f = 1, y && (t = op[0] & 2 ? y[\"return\"] : op[0] ? y[\"throw\"] || ((t = y[\"return\"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;\n            if (y = 0, t) op = [op[0] & 2, t.value];\n            switch (op[0]) {\n                case 0: case 1: t = op; break;\n                case 4: _.label++; return { value: op[1], done: false };\n                case 5: _.label++; y = op[1]; op = [0]; continue;\n                case 7: op = _.ops.pop(); _.trys.pop(); continue;\n                default:\n                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\n                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\n                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\n                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\n                    if (t[2]) _.ops.pop();\n                    _.trys.pop(); continue;\n            }\n            op = body.call(thisArg, _);\n        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\n        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\n    }\n};\nObject.defineProperty(exports, \"__esModule\", { value: true });\nvar tf = require(\"@tensorflow/tfjs-core\");\nvar support = require(\"../core/sketch_support\");\nvar SketchRNN = (function () {\n    function SketchRNN(checkpointURL) {\n        this.NMIXTURE = 20;\n        this.checkpointURL = checkpointURL;\n        this.initialized = false;\n    }\n    SketchRNN.prototype.isInitialized = function () {\n        return this.initialized;\n    };\n    SketchRNN.prototype.instantiateFromJSON = function (info, weightDims, weightStrings) {\n        this.forgetBias = tf.scalar(1.0);\n        this.info = info;\n        this.setPixelFactor(2.0);\n        this.weightDims = weightDims;\n        this.numUnits = this.weightDims[0][0];\n        var rawWeights;\n        var maxWeight = 10.0;\n        this.weights = [];\n        for (var i = 0; i < weightStrings.length; i++) {\n            rawWeights = new Float32Array(support.stringToArray(weightStrings[i]));\n            var N = rawWeights.length;\n            for (var j = 0; j < N; j++) {\n                rawWeights[j] = maxWeight * rawWeights[j] / 32767;\n            }\n            this.weights.push(rawWeights);\n        }\n        this.outputKernel = tf.tensor2d(this.weights[0], [this.weightDims[0][0], this.weightDims[0][1]]);\n        this.outputBias = tf.tensor1d(this.weights[1]);\n        var lstmKernelXH = tf.tensor2d(this.weights[2], [this.weightDims[2][0], this.weightDims[2][1]]);\n        var lstmKernelHH = tf.tensor2d(this.weights[3], [this.weightDims[3][0], this.weightDims[3][1]]);\n        var axis = 0;\n        this.lstmKernel = tf.concat2d([lstmKernelXH, lstmKernelHH], axis);\n        this.lstmBias = tf.tensor1d(this.weights[4]);\n        this.rawVars = [\n            this.outputKernel,\n            this.outputBias,\n            this.lstmKernel,\n            this.lstmBias\n        ];\n    };\n    SketchRNN.prototype.initialize = function () {\n        return __awaiter(this, void 0, void 0, function () {\n            var vars;\n            return __generator(this, function (_a) {\n                switch (_a.label) {\n                    case 0:\n                        this.dispose();\n                        return [4, fetch(this.checkpointURL)\n                                .then(function (response) { return response.json(); })];\n                    case 1:\n                        vars = _a.sent();\n                        this.instantiateFromJSON(vars[0], vars[1], vars[2]);\n                        this.initialized = true;\n                        console.log('Initialized SketchRNN.');\n                        return [2];\n                }\n            });\n        });\n    };\n    SketchRNN.prototype.dispose = function () {\n        if (this.rawVars) {\n            for (var i = 0; i < this.rawVars.length; i++) {\n                this.rawVars[i].dispose();\n            }\n            this.rawVars = undefined;\n        }\n        if (this.forgetBias) {\n            this.forgetBias.dispose();\n            this.forgetBias = undefined;\n        }\n        this.initialized = false;\n    };\n    SketchRNN.prototype.setPixelFactor = function (scale) {\n        this.pixelFactor = scale;\n        this.scaleFactor = this.info.scale_factor / this.pixelFactor;\n    };\n    SketchRNN.prototype.update = function (stroke, state) {\n        var _this = this;\n        var out = tf.tidy(function () {\n            var numUnits = _this.numUnits;\n            var s = _this.scaleFactor;\n            var normStroke = [stroke[0] / s, stroke[1] / s, stroke[2], stroke[3], stroke[4]];\n            var x = tf.tensor2d(normStroke, [1, 5]);\n            var c = tf.tensor2d(state.c, [1, numUnits]);\n            var h = tf.tensor2d(state.h, [1, numUnits]);\n            var newState = tf.basicLSTMCell(_this.forgetBias, _this.lstmKernel, _this.lstmBias, x, c, h);\n            return tf.concat(newState, 1);\n        });\n        var newCH = out.dataSync();\n        out.dispose();\n        var newC = newCH.slice(0, this.numUnits);\n        var newH = newCH.slice(this.numUnits, this.numUnits * 2);\n        var finalState = {\n            c: new Float32Array(newC),\n            h: new Float32Array(newH)\n        };\n        return finalState;\n    };\n    SketchRNN.prototype.updateStrokes = function (strokes, state, steps) {\n        var _this = this;\n        var out = tf.tidy(function () {\n            var numUnits = _this.numUnits;\n            var s = _this.scaleFactor;\n            var normStroke;\n            var x;\n            var c;\n            var h;\n            var newState;\n            var numSteps = strokes.length;\n            if (steps) {\n                numSteps = steps;\n            }\n            c = tf.tensor2d(state.c, [1, numUnits]);\n            h = tf.tensor2d(state.h, [1, numUnits]);\n            for (var i = 0; i < numSteps; i++) {\n                normStroke = [strokes[i][0] / s,\n                    strokes[i][1] / s,\n                    strokes[i][2],\n                    strokes[i][3],\n                    strokes[i][4]];\n                x = tf.tensor2d(normStroke, [1, 5]);\n                newState = tf.basicLSTMCell(_this.forgetBias, _this.lstmKernel, _this.lstmBias, x, c, h);\n                c = newState[0];\n                h = newState[1];\n            }\n            return tf.concat(newState, 1);\n        });\n        var newCH = out.dataSync();\n        out.dispose();\n        var newC = newCH.slice(0, this.numUnits);\n        var newH = newCH.slice(this.numUnits, this.numUnits * 2);\n        var finalState = {\n            c: new Float32Array(newC),\n            h: new Float32Array(newH)\n        };\n        return finalState;\n    };\n    SketchRNN.prototype.getPDF = function (state, temperature, softmaxTemperature) {\n        var _this = this;\n        if (temperature === void 0) { temperature = 0.65; }\n        var temp = temperature;\n        var discreteTemp = 0.5 + temp * 0.5;\n        if (softmaxTemperature) {\n            discreteTemp = softmaxTemperature;\n        }\n        var NOUT = this.NMIXTURE;\n        var out = tf.tidy(function () {\n            var numUnits = _this.numUnits;\n            var h = tf.tensor2d(state.h, [1, numUnits]);\n            var sqrttemp = tf.scalar(Math.sqrt(temp));\n            var softtemp = tf.scalar(discreteTemp);\n            var z = tf.add(tf.matMul(h, _this.outputKernel), _this.outputBias)\n                .squeeze();\n            var _a = tf.split(z, [3, NOUT * 6]), rawPen = _a[0], rst = _a[1];\n            var _b = tf.split(rst, 6), rawPi = _b[0], mu1 = _b[1], mu2 = _b[2], rawSigma1 = _b[3], rawSigma2 = _b[4], rawCorr = _b[5];\n            var pen = tf.softmax(rawPen.div(softtemp));\n            var pi = tf.softmax(rawPi.div(softtemp));\n            var sigma1 = tf.exp(rawSigma1).mul(sqrttemp);\n            var sigma2 = tf.exp(rawSigma2).mul(sqrttemp);\n            var corr = tf.tanh(rawCorr);\n            var result = [pi, mu1, mu2, sigma1, sigma2, corr, pen];\n            return tf.concat(result);\n        });\n        var result = out.dataSync();\n        out.dispose();\n        var pdf = {\n            pi: new Float32Array(result.slice(0, NOUT)),\n            muX: new Float32Array(result.slice(1 * NOUT, 2 * NOUT)),\n            muY: new Float32Array(result.slice(2 * NOUT, 3 * NOUT)),\n            sigmaX: new Float32Array(result.slice(3 * NOUT, 4 * NOUT)),\n            sigmaY: new Float32Array(result.slice(4 * NOUT, 15 * NOUT)),\n            corr: new Float32Array(result.slice(5 * NOUT, 6 * NOUT)),\n            pen: new Float32Array(result.slice(6 * NOUT, 6 * NOUT + 3))\n        };\n        return pdf;\n    };\n    SketchRNN.prototype.zeroState = function () {\n        var result = {\n            c: new Float32Array(this.numUnits),\n            h: new Float32Array(this.numUnits)\n        };\n        return result;\n    };\n    SketchRNN.prototype.copyState = function (rnnState) {\n        var result = {\n            c: new Float32Array(rnnState.c),\n            h: new Float32Array(rnnState.h)\n        };\n        return result;\n    };\n    SketchRNN.prototype.zeroInput = function () {\n        return [0, 0, 1, 0, 0];\n    };\n    SketchRNN.prototype.sample = function (pdf) {\n        var idx = support.sampleSoftmax(pdf.pi);\n        var mu1 = pdf.muX[idx];\n        var mu2 = pdf.muY[idx];\n        var sigma1 = pdf.sigmaX[idx];\n        var sigma2 = pdf.sigmaY[idx];\n        var corr = pdf.corr[idx];\n        var penIdx = support.sampleSoftmax(pdf.pen);\n        var penstate = [0, 0, 0];\n        penstate[penIdx] = 1;\n        var delta = support.birandn(mu1, mu2, sigma1, sigma2, corr);\n        var stroke = [\n            delta[0] * this.scaleFactor,\n            delta[1] * this.scaleFactor,\n            penstate[0],\n            penstate[1],\n            penstate[2]\n        ];\n        return stroke;\n    };\n    SketchRNN.prototype.simplifyLine = function (line, tolerance) {\n        return support.simplifyLine(line, tolerance);\n    };\n    SketchRNN.prototype.simplifyLines = function (lines, tolerance) {\n        return support.simplifyLines(lines, tolerance);\n    };\n    SketchRNN.prototype.linesToStroke = function (lines) {\n        return support.linesToStrokes(lines);\n    };\n    SketchRNN.prototype.lineToStroke = function (line, lastPoint) {\n        return support.lineToStroke(line, lastPoint);\n    };\n    return SketchRNN;\n}());\nexports.SketchRNN = SketchRNN;\n//# sourceMappingURL=model.js.map","\"use strict\";\nObject.defineProperty(exports, \"__esModule\", { value: true });\nvar model_1 = require(\"./model\");\nexports.SketchRNN = model_1.SketchRNN;\n//# sourceMappingURL=index.js.map","\"use strict\";\nfunction __export(m) {\n    for (var p in m) if (!exports.hasOwnProperty(p)) exports[p] = m[p];\n}\nObject.defineProperty(exports, \"__esModule\", { value: true });\nvar tf = require(\"@tensorflow/tfjs\");\nexports.tf = tf;\n__export(require(\"./sketch_rnn/index\"));\n//# sourceMappingURL=index.js.map","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint prefer-destructuring: ['error', {AssignmentExpression: {array: false}}] */\n/* eslint no-await-in-loop: 'off' */\n/*\nSketchRNN\n*/\n\nimport * as ms from '@magenta/sketch';\nimport callCallback from '../utils/callcallback';\nimport modelPaths from './models';\n\nconst PATH_START_LARGE = 'https://storage.googleapis.com/quickdraw-models/sketchRNN/large_models/';\nconst PATH_START_SMALL = 'https://storage.googleapis.com/quickdraw-models/sketchRNN/models/';\nconst PATH_END = '.gen.json';\n\nclass SketchRNN {\n  constructor(model, callback, large = true) {\n    let checkpointUrl = model;\n    if (modelPaths.has(checkpointUrl)) {\n      checkpointUrl = (large ? PATH_START_LARGE : PATH_START_SMALL) + checkpointUrl + PATH_END;\n    }\n    this.defaults = {\n      temperature: 0.65,\n      pixelFactor: 3.0,\n    };\n    this.model = new ms.SketchRNN(checkpointUrl);\n    this.penState = this.model.zeroInput();\n    this.ready = callCallback(this.model.initialize(), callback);\n  }\n\n  async generateInternal(options, strokes) {\n    const temperature = +options.temperature || this.defaults.temperature;\n    const pixelFactor = +options.pixelFactor || this.defaults.pixelFactor;\n\n    await this.ready;\n    if (!this.rnnState) {\n      this.rnnState = this.model.zeroState();\n      this.model.setPixelFactor(pixelFactor);\n    }\n\n    if (Array.isArray(strokes) && strokes.length) {\n      this.rnnState = this.model.updateStrokes(strokes, this.rnnState);\n    }\n    this.rnnState = this.model.update(this.penState, this.rnnState);\n    const pdf = this.model.getPDF(this.rnnState, temperature);\n    this.penState = this.model.sample(pdf);\n    const result = {\n      dx: this.penState[0],\n      dy: this.penState[1],\n    };\n    if (this.penState[2] === 1) {\n      result.pen = 'down';\n    } else if (this.penState[3] === 1) {\n      result.pen = 'up';\n    } else if (this.penState[4] === 1) {\n      result.pen = 'end';\n    }\n    return result;\n  }\n\n  async generate(optionsOrSeedOrCallback, seedOrCallback, cb) {\n    let callback;\n    let options;\n    let seedStrokes;\n\n    if (typeof optionsOrSeedOrCallback === 'function') {\n      options = {};\n      seedStrokes = [];\n      callback = optionsOrSeedOrCallback;\n    } else if (Array.isArray(optionsOrSeedOrCallback)) {\n      options = {};\n      seedStrokes = optionsOrSeedOrCallback;\n      callback = seedOrCallback;\n    } else if (typeof seedOrCallback === 'function') {\n      options = optionsOrSeedOrCallback || {};\n      seedStrokes = [];\n      callback = seedOrCallback;\n    } else {\n      options = optionsOrSeedOrCallback || {};\n      seedStrokes = seedOrCallback || [];\n      callback = cb;\n    }\n\n    const strokes = seedStrokes.map((s) => {\n      const up = s.pen === 'up' ? 1 : 0;\n      const down = s.pen === 'down' ? 1 : 0;\n      const end = s.pen === 'end' ? 1 : 0;\n      return [s.dx, s.dy, down, up, end];\n    });\n    return callCallback(this.generateInternal(options, strokes), callback);\n  }\n\n  reset() {\n    this.penState = this.model.zeroInput();\n    if (this.rnnState) {\n      this.rnnState = this.model.zeroState();\n    }\n  }\n}\n\nconst SketchRNNGenerator = (model, callback, large = true) => new SketchRNN(model, callback, large);\n\nexport default SketchRNNGenerator;\n","/* eslint max-len: \"off\" */\n\nimport * as tf from '@tensorflow/tfjs';\n\nexport default class CheckpointLoaderPix2pix {\n  constructor(urlPath) {\n    this.urlPath = urlPath;\n  }\n\n  getAllVariables() {\n    return new Promise((resolve, reject) => {\n      const weightsCache = {};\n      if (this.urlPath in weightsCache) {\n        resolve(weightsCache[this.urlPath]);\n        return;\n      }\n\n      const xhr = new XMLHttpRequest();\n      xhr.open('GET', this.urlPath, true);\n      xhr.responseType = 'arraybuffer';\n      xhr.onload = () => {\n        if (xhr.status !== 200) {\n          reject(new Error('missing model'));\n          return;\n        }\n        const buf = xhr.response;\n        if (!buf) {\n          reject(new Error('invalid arraybuffer'));\n          return;\n        }\n\n        const parts = [];\n        let offset = 0;\n        while (offset < buf.byteLength) {\n          const b = new Uint8Array(buf.slice(offset, offset + 4));\n          offset += 4;\n          const len = (b[0] << 24) + (b[1] << 16) + (b[2] << 8) + b[3]; // eslint-disable-line no-bitwise\n          parts.push(buf.slice(offset, offset + len));\n          offset += len;\n        }\n\n        const shapes = JSON.parse((new TextDecoder('utf8')).decode(parts[0]));\n        const index = new Float32Array(parts[1]);\n        const encoded = new Uint8Array(parts[2]);\n\n        // decode using index\n        const arr = new Float32Array(encoded.length);\n        for (let i = 0; i < arr.length; i += 1) {\n          arr[i] = index[encoded[i]];\n        }\n\n        const weights = {};\n        offset = 0;\n        for (let i = 0; i < shapes.length; i += 1) {\n          const { shape } = shapes[i];\n          const size = shape.reduce((total, num) => total * num);\n          const values = arr.slice(offset, offset + size);\n          const tfarr = tf.tensor1d(values, 'float32');\n          weights[shapes[i].name] = tfarr.reshape(shape);\n          offset += size;\n        }\n        weightsCache[this.urlPath] = weights;\n        resolve(weights);\n      };\n      xhr.send(null);\n    });\n  }\n}\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint max-len: \"off\" */\n/*\nPix2pix\nThe original pix2pix TensorFlow implementation was made by affinelayer: github.com/affinelayer/pix2pix-tensorflow\nThis version is heavily based on Christopher Hesse TensorFlow.js implementation: https://github.com/affinelayer/pix2pix-tensorflow/tree/master/server\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport CheckpointLoaderPix2pix from '../utils/checkpointLoaderPix2pix';\nimport { array3DToImage } from '../utils/imageUtilities';\nimport callCallback from '../utils/callcallback';\n\nclass Pix2pix {\n  constructor(model, callback) {\n    this.ready = callCallback(this.loadCheckpoints(model), callback);\n  }\n\n  async loadCheckpoints(path) {\n    const checkpointLoader = new CheckpointLoaderPix2pix(path);\n    this.variables = await checkpointLoader.getAllVariables();\n    return this;\n  }\n\n  async transfer(inputElement, cb) {\n    return callCallback(this.transferInternal(inputElement), cb);\n  }\n\n  async transferInternal(inputElement) {\n    const input = tf.fromPixels(inputElement);\n    const inputData = input.dataSync();\n    const floatInput = tf.tensor3d(inputData, input.shape);\n    const normalizedInput = tf.div(floatInput, tf.scalar(255));\n\n    const result = array3DToImage(tf.tidy(() => {\n      const preprocessedInput = Pix2pix.preprocess(normalizedInput);\n      const layers = [];\n      let filter = this.variables['generator/encoder_1/conv2d/kernel'];\n      let bias = this.variables['generator/encoder_1/conv2d/bias'];\n      let convolved = Pix2pix.conv2d(preprocessedInput, filter, bias);\n      layers.push(convolved);\n\n      for (let i = 2; i <= 8; i += 1) {\n        const scope = `generator/encoder_${i.toString()}`;\n        filter = this.variables[`${scope}/conv2d/kernel`];\n        const bias2 = this.variables[`${scope}/conv2d/bias`];\n        const layerInput = layers[layers.length - 1];\n        const rectified = tf.leakyRelu(layerInput, 0.2);\n        convolved = Pix2pix.conv2d(rectified, filter, bias2);\n        const scale = this.variables[`${scope}/batch_normalization/gamma`];\n        const offset = this.variables[`${scope}/batch_normalization/beta`];\n        const normalized = Pix2pix.batchnorm(convolved, scale, offset);\n        layers.push(normalized);\n      }\n\n      for (let i = 8; i >= 2; i -= 1) {\n        let layerInput;\n        if (i === 8) {\n          layerInput = layers[layers.length - 1];\n        } else {\n          const skipLayer = i - 1;\n          layerInput = tf.concat([layers[layers.length - 1], layers[skipLayer]], 2);\n        }\n        const rectified = tf.relu(layerInput);\n        const scope = `generator/decoder_${i.toString()}`;\n        filter = this.variables[`${scope}/conv2d_transpose/kernel`];\n        bias = this.variables[`${scope}/conv2d_transpose/bias`];\n        convolved = Pix2pix.deconv2d(rectified, filter, bias);\n        const scale = this.variables[`${scope}/batch_normalization/gamma`];\n        const offset = this.variables[`${scope}/batch_normalization/beta`];\n        const normalized = Pix2pix.batchnorm(convolved, scale, offset);\n        layers.push(normalized);\n      }\n\n      const layerInput = tf.concat([layers[layers.length - 1], layers[0]], 2);\n      let rectified2 = tf.relu(layerInput);\n      filter = this.variables['generator/decoder_1/conv2d_transpose/kernel'];\n      const bias3 = this.variables['generator/decoder_1/conv2d_transpose/bias'];\n      convolved = Pix2pix.deconv2d(rectified2, filter, bias3);\n      rectified2 = tf.tanh(convolved);\n      layers.push(rectified2);\n\n      const output = layers[layers.length - 1];\n      const deprocessedOutput = Pix2pix.deprocess(output);\n      return deprocessedOutput;\n    }));\n\n    await tf.nextFrame();\n    return result;\n  }\n\n  static preprocess(inputPreproc) {\n    return tf.sub(tf.mul(inputPreproc, tf.scalar(2)), tf.scalar(1));\n  }\n\n  static deprocess(inputDeproc) {\n    return tf.div(tf.add(inputDeproc, tf.scalar(1)), tf.scalar(2));\n  }\n\n  static batchnorm(inputBat, scale, offset) {\n    const moments = tf.moments(inputBat, [0, 1]);\n    const varianceEpsilon = 1e-5;\n    return tf.batchNormalization(inputBat, moments.mean, moments.variance, varianceEpsilon, scale, offset);\n  }\n\n  static conv2d(inputCon, filterCon) {\n    return tf.conv2d(inputCon, filterCon, [2, 2], 'same');\n  }\n\n  static deconv2d(inputDeconv, filterDeconv, biasDecon) {\n    const convolved = tf.conv2dTranspose(inputDeconv, filterDeconv, [inputDeconv.shape[0] * 2, inputDeconv.shape[1] * 2, filterDeconv.shape[2]], [2, 2], 'same');\n    const biased = tf.add(convolved, biasDecon);\n    return biased;\n  }\n}\n\nconst pix2pix = (model, callback) => {\n  const instance = new Pix2pix(model, callback);\n  return callback ? instance : instance.ready;\n};\n\nexport default pix2pix;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n// Utils for sampling\n\n// Sample from a distrubution\nconst sampleFromDistribution = (input) => {\n  const randomValue = Math.random();\n  let sum = 0;\n  let result;\n  for (let j = 0; j < input.length; j += 1) {\n    sum += input[j];\n    if (randomValue < sum) {\n      result = j;\n      break;\n    }\n  }\n  return result;\n};\n\nexport default sampleFromDistribution;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint prefer-destructuring: [\"error\", {AssignmentExpression: {array: false}}] */\n/* eslint no-await-in-loop: \"off\" */\n/*\nA LSTM Generator: Run inference mode for a pre-trained LSTM.\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport sampleFromDistribution from './../utils/sample';\nimport CheckpointLoader from '../utils/checkpointLoader';\nimport callCallback from '../utils/callcallback';\n\nconst regexCell = /cell_[0-9]|lstm_[0-9]/gi;\nconst regexWeights = /weights|weight|kernel|kernels|w/gi;\nconst regexFullyConnected = /softmax/gi;\n\nclass CharRNN {\n  constructor(modelPath, callback) {\n    this.ready = false;\n    this.model = {};\n    this.cellsAmount = 0;\n    this.cells = [];\n    this.zeroState = { c: [], h: [] };\n    this.state = { c: [], h: [] };\n    this.vocab = {};\n    this.vocabSize = 0;\n    this.probabilities = [];\n    this.defaults = {\n      seed: 'a', // TODO: use no seed by default\n      length: 20,\n      temperature: 0.5,\n      stateful: false,\n    };\n\n    this.ready = callCallback(this.loadCheckpoints(modelPath), callback);\n    // this.then = this.ready.then.bind(this.ready);\n  }\n\n  resetState() {\n    this.state = this.zeroState;\n  }\n\n  setState(state) {\n    this.state = state;\n  }\n\n  getState() {\n    return this.state;\n  }\n\n  async loadCheckpoints(path) {\n    const reader = new CheckpointLoader(path);\n    const vars = await reader.getAllVariables();\n    Object.keys(vars).forEach((key) => {\n      if (key.match(regexCell)) {\n        if (key.match(regexWeights)) {\n          this.model[`Kernel_${key.match(/[0-9]/)[0]}`] = vars[key];\n          this.cellsAmount += 1;\n        } else {\n          this.model[`Bias_${key.match(/[0-9]/)[0]}`] = vars[key];\n        }\n      } else if (key.match(regexFullyConnected)) {\n        if (key.match(regexWeights)) {\n          this.model.fullyConnectedWeights = vars[key];\n        } else {\n          this.model.fullyConnectedBiases = vars[key];\n        }\n      } else {\n        this.model[key] = vars[key];\n      }\n    });\n    await this.loadVocab(path);\n    await this.initCells();\n    return this;\n  }\n\n  async loadVocab(path) {\n    const json = await fetch(`${path}/vocab.json`)\n      .then(response => response.json())\n      .catch(err => console.error(err));\n    this.vocab = json;\n    this.vocabSize = Object.keys(json).length;\n  }\n\n  async initCells() {\n    this.cells = [];\n    this.zeroState = { c: [], h: [] };\n    const forgetBias = tf.tensor(1.0);\n\n    const lstm = (i) => {\n      const cell = (DATA, C, H) =>\n        tf.basicLSTMCell(forgetBias, this.model[`Kernel_${i}`], this.model[`Bias_${i}`], DATA, C, H);\n      return cell;\n    };\n\n    for (let i = 0; i < this.cellsAmount; i += 1) {\n      this.zeroState.c.push(tf.zeros([1, this.model[`Bias_${i}`].shape[0] / 4]));\n      this.zeroState.h.push(tf.zeros([1, this.model[`Bias_${i}`].shape[0] / 4]));\n      this.cells.push(lstm(i));\n    }\n\n    this.state = this.zeroState;\n  }\n\n  async generateInternal(options) {\n    await this.ready;\n    const seed = options.seed || this.defaults.seed;\n    const length = +options.length || this.defaults.length;\n    const temperature = +options.temperature || this.defaults.temperature;\n    const stateful = options.stateful || this.defaults.stateful;\n    if (!stateful) {\n      this.state = this.zeroState;\n    }\n\n    const results = [];\n    const userInput = Array.from(seed);\n    const encodedInput = [];\n\n    userInput.forEach((char) => {\n      encodedInput.push(this.vocab[char]);\n    });\n\n    let input = encodedInput[0];\n    let probabilitiesNormalized = []; // will contain final probabilities (normalized)\n\n    for (let i = 0; i < userInput.length + length + -1; i += 1) {\n      const onehotBuffer = tf.buffer([1, this.vocabSize]);\n      onehotBuffer.set(1.0, 0, input);\n      const onehot = onehotBuffer.toTensor();\n      let output;\n      if (this.model.embedding) {\n        const embedded = tf.matMul(onehot, this.model.embedding);\n        output = tf.multiRNNCell(this.cells, embedded, this.state.c, this.state.h);\n      } else {\n        output = tf.multiRNNCell(this.cells, onehot, this.state.c, this.state.h);\n      }\n\n      this.state.c = output[0];\n      this.state.h = output[1];\n\n      const outputH = this.state.h[1];\n      const weightedResult = tf.matMul(outputH, this.model.fullyConnectedWeights);\n      const logits = tf.add(weightedResult, this.model.fullyConnectedBiases);\n      const divided = tf.div(logits, tf.tensor(temperature));\n      const probabilities = tf.exp(divided);\n      probabilitiesNormalized = await tf.div(\n        probabilities,\n        tf.sum(probabilities),\n      ).data();\n\n      if (i < userInput.length - 1) {\n        input = encodedInput[i + 1];\n      } else {\n        input = sampleFromDistribution(probabilitiesNormalized);\n        results.push(input);\n      }\n    }\n\n    let generated = '';\n    results.forEach((char) => {\n      const mapped = Object.keys(this.vocab).find(key => this.vocab[key] === char);\n      if (mapped) {\n        generated += mapped;\n      }\n    });\n    this.probabilities = probabilitiesNormalized;\n    return {\n      sample: generated,\n      state: this.state,\n    };\n  }\n\n  reset() {\n    this.state = this.zeroState;\n  }\n\n  // stateless\n  async generate(options, callback) {\n    this.reset();\n    return callCallback(this.generateInternal(options), callback);\n  }\n\n  // stateful\n  async predict(temp, callback) {\n    let probabilitiesNormalized = [];\n    const temperature = temp > 0 ? temp : 0.1;\n    const outputH = this.state.h[1];\n    const weightedResult = tf.matMul(outputH, this.model.fullyConnectedWeights);\n    const logits = tf.add(weightedResult, this.model.fullyConnectedBiases);\n    const divided = tf.div(logits, tf.tensor(temperature));\n    const probabilities = tf.exp(divided);\n    probabilitiesNormalized = await tf.div(\n      probabilities,\n      tf.sum(probabilities),\n    ).data();\n\n    const sample = sampleFromDistribution(probabilitiesNormalized);\n    const result = Object.keys(this.vocab).find(key => this.vocab[key] === sample);\n    this.probabilities = probabilitiesNormalized;\n    if (callback) {\n      callback(result);\n    }\n    /* eslint max-len: [\"error\", { \"code\": 180 }] */\n    const pm = Object.keys(this.vocab).map(c => ({ char: c, probability: this.probabilities[this.vocab[c]] }));\n    return {\n      sample: result,\n      probabilities: pm,\n    };\n  }\n\n  async feed(inputSeed, callback) {\n    await this.ready;\n    const seed = Array.from(inputSeed);\n    const encodedInput = [];\n\n    seed.forEach((char) => {\n      encodedInput.push(this.vocab[char]);\n    });\n\n    let input = encodedInput[0];\n    for (let i = 0; i < seed.length; i += 1) {\n      const onehotBuffer = tf.buffer([1, this.vocabSize]);\n      onehotBuffer.set(1.0, 0, input);\n      const onehot = onehotBuffer.toTensor();\n      let output;\n      if (this.model.embedding) {\n        const embedded = tf.matMul(onehot, this.model.embedding);\n        output = tf.multiRNNCell(this.cells, embedded, this.state.c, this.state.h);\n      } else {\n        output = tf.multiRNNCell(this.cells, onehot, this.state.c, this.state.h);\n      }\n      this.state.c = output[0];\n      this.state.h = output[1];\n      input = encodedInput[i];\n    }\n    if (callback) {\n      callback();\n    }\n  }\n}\n\nconst charRNN = (modelPath = './', callback) => new CharRNN(modelPath, callback);\n\nexport default charRNN;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint max-len: \"off\" */\n/* eslint no-trailing-spaces: \"off\" */\n/*\nFast Style Transfer\nThis implementation is heavily based on github.com/reiinakano/fast-style-transfer-deeplearnjs by Reiichiro Nakano.\nThe original TensorFlow implementation was developed by Logan Engstrom: github.com/lengstrom/fast-style-transfer \n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport Video from './../utils/Video';\nimport CheckpointLoader from '../utils/checkpointLoader';\nimport { array3DToImage } from '../utils/imageUtilities';\nimport callCallback from '../utils/callcallback';\n\nconst IMAGE_SIZE = 200;\n\nclass StyleTransfer extends Video {\n  constructor(model, video, callback) {\n    super(video, IMAGE_SIZE);\n    this.ready = false;\n    this.variableDictionary = {};\n    this.timesScalar = tf.scalar(150);\n    this.plusScalar = tf.scalar(255.0 / 2);\n    this.epsilonScalar = tf.scalar(1e-3);\n    this.video = null;\n    this.ready = callCallback(this.load(model), callback);\n    // this.then = this.ready.then;\n  }\n\n  async load(model) {\n    if (this.videoElt) {\n      await this.loadVideo();\n      this.videoReady = true;\n    }\n    await this.loadCheckpoints(model);\n    return this;\n  }\n\n  async loadCheckpoints(path) {\n    const checkpointLoader = new CheckpointLoader(path);\n    this.variables = await checkpointLoader.getAllVariables();\n  }\n\n  instanceNorm(input, id) {\n    const [height, width, inDepth] = input.shape;\n    const moments = tf.moments(input, [0, 1]);\n    const mu = moments.mean;\n    const sigmaSq = moments.variance;\n    const shift = this.variables[StyleTransfer.getVariableName(id)];\n    const scale = this.variables[StyleTransfer.getVariableName(id + 1)];\n    const epsilon = this.epsilonScalar;\n    const normalized = tf.div(tf.sub(input.asType('float32'), mu), tf.sqrt(tf.add(sigmaSq, epsilon)));\n    const shifted = tf.add(tf.mul(scale, normalized), shift);\n    return shifted.as3D(height, width, inDepth);\n  }\n\n  convLayer(input, strides, relu, id) {\n    const y = tf.conv2d(input, this.variables[StyleTransfer.getVariableName(id)], [strides, strides], 'same');\n    const y2 = this.instanceNorm(y, id + 1);\n    if (relu) {\n      return tf.relu(y2);\n    }\n    return y2;\n  }\n\n  residualBlock(input, id) {\n    const conv1 = this.convLayer(input, 1, true, id);\n    const conv2 = this.convLayer(conv1, 1, false, id + 3);\n    return tf.add(conv2, input);\n  }\n\n  convTransposeLayer(input, numFilters, strides, id) {\n    const [height, width] = input.shape;\n    const newRows = height * strides;\n    const newCols = width * strides;\n    const newShape = [newRows, newCols, numFilters];\n    const y = tf.conv2dTranspose(input, this.variables[StyleTransfer.getVariableName(id)], newShape, [strides, strides], 'same');\n    const y2 = this.instanceNorm(y, id + 1);\n    const y3 = tf.relu(y2);\n    return y3;\n  }\n\n  async transfer(inputOrCallback, cb) {\n    let input;\n    let callback = cb;\n\n    if (inputOrCallback instanceof HTMLVideoElement ||\n        inputOrCallback instanceof HTMLImageElement ||\n        inputOrCallback instanceof ImageData) {\n      input = inputOrCallback;\n    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLVideoElement || inputOrCallback.elt instanceof HTMLImageElement)) {\n      input = inputOrCallback.elt;\n    } else if (typeof inputOrCallback === 'function') {\n      input = this.video;\n      callback = inputOrCallback;\n    }\n\n    return callCallback(this.transferInternal(input), callback);\n  }\n\n  async transferInternal(input) {\n    const image = tf.fromPixels(input);\n    const result = array3DToImage(tf.tidy(() => {\n      const conv1 = this.convLayer(image, 1, true, 0);\n      const conv2 = this.convLayer(conv1, 2, true, 3);\n      const conv3 = this.convLayer(conv2, 2, true, 6);\n      const res1 = this.residualBlock(conv3, 9);\n      const res2 = this.residualBlock(res1, 15);\n      const res3 = this.residualBlock(res2, 21);\n      const res4 = this.residualBlock(res3, 27);\n      const res5 = this.residualBlock(res4, 33);\n      const convT1 = this.convTransposeLayer(res5, 64, 2, 39);\n      const convT2 = this.convTransposeLayer(convT1, 32, 2, 42);\n      const convT3 = this.convLayer(convT2, 1, false, 45);\n      const outTanh = tf.tanh(convT3);\n      const scaled = tf.mul(this.timesScalar, outTanh);\n      const shifted = tf.add(this.plusScalar, scaled);\n      const clamped = tf.clipByValue(shifted, 0, 255);\n      const normalized = tf.div(clamped, tf.scalar(255.0));\n      return normalized;\n    }));\n    await tf.nextFrame();\n    return result;\n  }\n\n  // Static Methods\n  static getVariableName(id) {\n    if (id === 0) {\n      return 'Variable';\n    }\n    return `Variable_${id}`;\n  }\n}\n\nconst styleTransfer = (model, videoOrCallback, cb) => {\n  const video = videoOrCallback;\n  let callback = cb;\n\n  if (typeof videoOrCallback === 'function') {\n    callback = videoOrCallback;\n  }\n\n  const instance = new StyleTransfer(model, video, callback);\n  return callback ? instance : instance.ready;\n};\n\nexport default styleTransfer;\n","// @tensorflow/tfjs-models Copyright 2018 Google\nimport*as tf from\"@tensorflow/tfjs\";import{Tensor,fromPixels,tidy,util,TensorBuffer,scalar,cast,concat,tensor2d}from\"@tensorflow/tfjs\";function __awaiter(e,t,r,n){return new(r||(r=Promise))(function(o,i){function a(e){try{u(n.next(e))}catch(e){i(e)}}function s(e){try{u(n.throw(e))}catch(e){i(e)}}function u(e){e.done?o(e.value):new r(function(t){t(e.value)}).then(a,s)}u((n=n.apply(e,t||[])).next())})}function __generator(e,t){var r,n,o,i,a={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(i[Symbol.iterator]=function(){return this}),i;function s(i){return function(s){return function(i){if(r)throw new TypeError(\"Generator is already executing.\");for(;a;)try{if(r=1,n&&(o=2&i[0]?n.return:i[0]?n.throw||((o=n.return)&&o.call(n),0):n.next)&&!(o=o.call(n,i[1])).done)return o;switch(n=0,o&&(i=[2&i[0],o.value]),i[0]){case 0:case 1:o=i;break;case 4:return a.label++,{value:i[1],done:!1};case 5:a.label++,n=i[1],i=[0];continue;case 7:i=a.ops.pop(),a.trys.pop();continue;default:if(!(o=(o=a.trys).length>0&&o[o.length-1])&&(6===i[0]||2===i[0])){a=0;continue}if(3===i[0]&&(!o||i[1]>o[0]&&i[1]<o[3])){a.label=i[1];break}if(6===i[0]&&a.label<o[1]){a.label=o[1],o=i;break}if(o&&a.label<o[2]){a.label=o[2],a.ops.push(i);break}o[2]&&a.ops.pop(),a.trys.pop();continue}i=t.call(e,a)}catch(e){i=[6,e],n=0}finally{r=o=0}if(5&i[0])throw i[1];return{value:i[0]?i[1]:void 0,done:!0}}([i,s])}}}var partNames=[\"nose\",\"leftEye\",\"rightEye\",\"leftEar\",\"rightEar\",\"leftShoulder\",\"rightShoulder\",\"leftElbow\",\"rightElbow\",\"leftWrist\",\"rightWrist\",\"leftHip\",\"rightHip\",\"leftKnee\",\"rightKnee\",\"leftAnkle\",\"rightAnkle\"],NUM_KEYPOINTS=partNames.length,partIds=partNames.reduce(function(e,t,r){return e[t]=r,e},{}),connectedPartNames=[[\"leftHip\",\"leftShoulder\"],[\"leftElbow\",\"leftShoulder\"],[\"leftElbow\",\"leftWrist\"],[\"leftHip\",\"leftKnee\"],[\"leftKnee\",\"leftAnkle\"],[\"rightHip\",\"rightShoulder\"],[\"rightElbow\",\"rightShoulder\"],[\"rightElbow\",\"rightWrist\"],[\"rightHip\",\"rightKnee\"],[\"rightKnee\",\"rightAnkle\"],[\"leftShoulder\",\"rightShoulder\"],[\"leftHip\",\"rightHip\"]],poseChain=[[\"nose\",\"leftEye\"],[\"leftEye\",\"leftEar\"],[\"nose\",\"rightEye\"],[\"rightEye\",\"rightEar\"],[\"nose\",\"leftShoulder\"],[\"leftShoulder\",\"leftElbow\"],[\"leftElbow\",\"leftWrist\"],[\"leftShoulder\",\"leftHip\"],[\"leftHip\",\"leftKnee\"],[\"leftKnee\",\"leftAnkle\"],[\"nose\",\"rightShoulder\"],[\"rightShoulder\",\"rightElbow\"],[\"rightElbow\",\"rightWrist\"],[\"rightShoulder\",\"rightHip\"],[\"rightHip\",\"rightKnee\"],[\"rightKnee\",\"rightAnkle\"]],connectedPartIndices=connectedPartNames.map(function(e){var t=e[0],r=e[1];return[partIds[t],partIds[r]]});function eitherPointDoesntMeetConfidence(e,t,r){return e<r||t<r}function getAdjacentKeyPoints(e,t){return connectedPartIndices.reduce(function(r,n){var o=n[0],i=n[1];return eitherPointDoesntMeetConfidence(e[o].score,e[i].score,t)?r:(r.push([e[o],e[i]]),r)},[])}var NEGATIVE_INFINITY=Number.NEGATIVE_INFINITY,POSITIVE_INFINITY=Number.POSITIVE_INFINITY;function getBoundingBox(e){return e.reduce(function(e,t){var r=e.maxX,n=e.maxY,o=e.minX,i=e.minY,a=t.position,s=a.x,u=a.y;return{maxX:Math.max(r,s),maxY:Math.max(n,u),minX:Math.min(o,s),minY:Math.min(i,u)}},{maxX:NEGATIVE_INFINITY,maxY:NEGATIVE_INFINITY,minX:POSITIVE_INFINITY,minY:POSITIVE_INFINITY})}function getBoundingBoxPoints(e){var t=getBoundingBox(e),r=t.minX,n=t.minY,o=t.maxX,i=t.maxY;return[{x:r,y:n},{x:o,y:n},{x:o,y:i},{x:r,y:i}]}function toTensorBuffer(e,t){return void 0===t&&(t=\"float32\"),__awaiter(this,void 0,void 0,function(){var r;return __generator(this,function(n){switch(n.label){case 0:return[4,e.data()];case 1:return r=n.sent(),[2,new TensorBuffer(e.shape,t,r)]}})})}function toTensorBuffers3D(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,Promise.all(e.map(function(e){return toTensorBuffer(e,\"float32\")}))]})})}function scalePose(e,t,r){return{score:e.score,keypoints:e.keypoints.map(function(e){var n=e.score,o=e.part,i=e.position;return{score:n,part:o,position:{x:i.x*t,y:i.y*r}}})}}function scalePoses(e,t,r){return 1===r&&1===t?e:e.map(function(e){return scalePose(e,r,t)})}function getValidResolution(e,t,r){var n=t*e-1;return n-n%r+1}function half(e){return Math.floor(e/2)}var MaxHeap=function(){function e(e,t){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=t}return e.prototype.enqueue=function(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)},e.prototype.dequeue=function(){var e=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,e},e.prototype.empty=function(){return-1===this.numberOfElements},e.prototype.size=function(){return this.numberOfElements+1},e.prototype.all=function(){return this.priorityQueue.slice(0,this.numberOfElements+1)},e.prototype.max=function(){return this.priorityQueue[0]},e.prototype.swim=function(e){for(;e>0&&this.less(half(e),e);)this.exchange(e,half(e)),e=half(e)},e.prototype.sink=function(e){for(;2*e<=this.numberOfElements;){var t=2*e;if(t<this.numberOfElements&&this.less(t,t+1)&&t++,!this.less(e,t))break;this.exchange(e,t),e=t}},e.prototype.getValueAt=function(e){return this.getElementValue(this.priorityQueue[e])},e.prototype.less=function(e,t){return this.getValueAt(e)<this.getValueAt(t)},e.prototype.exchange=function(e,t){var r=this.priorityQueue[e];this.priorityQueue[e]=this.priorityQueue[t],this.priorityQueue[t]=r},e}();function scoreIsMaximumInLocalWindow(e,t,r,n,o,i){for(var a=i.shape,s=a[0],u=a[1],l=!0,c=Math.max(r-o,0),p=Math.min(r+o+1,s),f=c;f<p;++f){for(var h=Math.max(n-o,0),d=Math.min(n+o+1,u),v=h;v<d;++v)if(i.get(f,v,e)>t){l=!1;break}if(!l)break}return l}function buildPartWithScoreQueue(e,t,r){for(var n=r.shape,o=n[0],i=n[1],a=n[2],s=new MaxHeap(o*i*a,function(e){return e.score}),u=0;u<o;++u)for(var l=0;l<i;++l)for(var c=0;c<a;++c){var p=r.get(u,l,c);p<e||scoreIsMaximumInLocalWindow(c,p,u,l,t,r)&&s.enqueue({score:p,part:{heatmapY:u,heatmapX:l,id:c}})}return s}function getOffsetPoint(e,t,r,n){return{y:n.get(e,t,r),x:n.get(e,t,r+NUM_KEYPOINTS)}}function getImageCoords(e,t,r){var n=getOffsetPoint(e.heatmapY,e.heatmapX,e.id,r),o=n.y,i=n.x;return{x:e.heatmapX*t+i,y:e.heatmapY*t+o}}function clamp(e,t,r){return e<t?t:e>r?r:e}function squaredDistance(e,t,r,n){var o=r-e,i=n-t;return o*o+i*i}function addVectors(e,t){return{x:e.x+t.x,y:e.y+t.y}}var parentChildrenTuples=poseChain.map(function(e){var t=e[0],r=e[1];return[partIds[t],partIds[r]]}),parentToChildEdges=parentChildrenTuples.map(function(e){return e[1]}),childToParentEdges=parentChildrenTuples.map(function(e){return e[0]});function getDisplacement(e,t,r){var n=r.shape[2]/2;return{y:r.get(t.y,t.x,e),x:r.get(t.y,t.x,n+e)}}function getStridedIndexNearPoint(e,t,r,n){return{y:clamp(Math.round(e.y/t),0,r-1),x:clamp(Math.round(e.x/t),0,n-1)}}function traverseToTargetKeypoint(e,t,r,n,o,i,a){var s=n.shape,u=s[0],l=s[1],c=getDisplacement(e,getStridedIndexNearPoint(t.position,i,u,l),a),p=getStridedIndexNearPoint(addVectors(t.position,c),i,u,l),f=getOffsetPoint(p.y,p.x,r,o),h=n.get(p.y,p.x,r);return{position:addVectors({x:p.x*i,y:p.y*i},{x:f.x,y:f.y}),part:partNames[r],score:h}}function decodePose(e,t,r,n,o,i){var a=t.shape[2],s=parentToChildEdges.length,u=new Array(a),l=e.part,c=e.score,p=getImageCoords(l,n,r);u[l.id]={score:c,part:partNames[l.id],position:p};for(var f=s-1;f>=0;--f){var h=parentToChildEdges[f],d=childToParentEdges[f];u[h]&&!u[d]&&(u[d]=traverseToTargetKeypoint(f,u[h],d,t,r,n,i))}for(f=0;f<s;++f){h=childToParentEdges[f],d=parentToChildEdges[f];u[h]&&!u[d]&&(u[d]=traverseToTargetKeypoint(f,u[h],d,t,r,n,o))}return u}function withinNmsRadiusOfCorrespondingPoint(e,t,r,n){var o=r.x,i=r.y;return e.some(function(e){var r=e.keypoints[n].position;return squaredDistance(i,o,r.y,r.x)<=t})}function getInstanceScore(e,t,r){return r.reduce(function(r,n,o){var i=n.position,a=n.score;return withinNmsRadiusOfCorrespondingPoint(e,t,i,o)||(r+=a),r},0)/r.length}var kLocalMaximumRadius=1;function decodeMultiplePoses(e,t,r,n,o,i,a,s){return void 0===a&&(a=.5),void 0===s&&(s=20),__awaiter(this,void 0,void 0,function(){var u,l,c,p,f,h,d,v,m,g,b,y;return __generator(this,function(w){switch(w.label){case 0:return u=[],[4,toTensorBuffers3D([e,t,r,n])];case 1:for(l=w.sent(),c=l[0],p=l[1],f=l[2],h=l[3],d=buildPartWithScoreQueue(a,kLocalMaximumRadius,c),v=s*s;u.length<i&&!d.empty();)m=d.dequeue(),g=getImageCoords(m.part,o,p),withinNmsRadiusOfCorrespondingPoint(u,v,g,m.part.id)||(b=decodePose(m,c,p,o,f,h),y=getInstanceScore(u,v,b),u.push({keypoints:b,score:y}));return[2,u]}})})}var MANIFEST_FILE=\"manifest.json\",CheckpointLoader=function(){function e(e){this.urlPath=e,\"/\"!==this.urlPath.charAt(this.urlPath.length-1)&&(this.urlPath+=\"/\")}return e.prototype.loadManifest=function(){var e=this;return new Promise(function(t,r){var n=new XMLHttpRequest;n.open(\"GET\",e.urlPath+MANIFEST_FILE),n.onload=function(){e.checkpointManifest=JSON.parse(n.responseText),t()},n.onerror=function(t){throw new Error(MANIFEST_FILE+\" not found at \"+e.urlPath+\". \"+t)},n.send()})},e.prototype.getCheckpointManifest=function(){var e=this;return null==this.checkpointManifest?new Promise(function(t,r){e.loadManifest().then(function(){t(e.checkpointManifest)})}):new Promise(function(t,r){t(e.checkpointManifest)})},e.prototype.getAllVariables=function(){var e=this;return null!=this.variables?new Promise(function(t,r){t(e.variables)}):new Promise(function(t,r){e.getCheckpointManifest().then(function(r){for(var n=Object.keys(e.checkpointManifest),o=[],i=0;i<n.length;i++)o.push(e.getVariable(n[i]));Promise.all(o).then(function(r){e.variables={};for(var o=0;o<r.length;o++)e.variables[n[o]]=r[o];t(e.variables)})})})},e.prototype.getVariable=function(e){var t=this;if(!(e in this.checkpointManifest))throw new Error(\"Cannot load non-existant variable \"+e);var r=function(r,n){var o=new XMLHttpRequest;o.responseType=\"arraybuffer\";var i=t.checkpointManifest[e].filename;o.open(\"GET\",t.urlPath+i),o.onload=function(){if(404===o.status)throw new Error(\"Not found variable \"+e);var n=new Float32Array(o.response),i=Tensor.make(t.checkpointManifest[e].shape,{values:n});r(i)},o.onerror=function(t){throw new Error(\"Could not fetch variable \"+e+\": \"+t)},o.send()};return null==this.checkpointManifest?new Promise(function(e,n){t.loadManifest().then(function(){new Promise(r).then(e)})}):new Promise(r)},e}(),mobileNet100Architecture=[[\"conv2d\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1]],mobileNet75Architecture=[[\"conv2d\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1]],mobileNet50Architecture=[[\"conv2d\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",2],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1],[\"separableConv\",1]],VALID_OUTPUT_STRIDES=[8,16,32];function assertValidOutputStride(e){util.assert(\"number\"==typeof e,\"outputStride is not a number\"),util.assert(VALID_OUTPUT_STRIDES.indexOf(e)>=0,\"outputStride of \"+e+\" is invalid. It must be either 8, 16, or 32\")}function assertValidScaleFactor(e){util.assert(\"number\"==typeof e,\"imageScaleFactor is not a number\"),util.assert(e>=.2&&e<=1,\"imageScaleFactor must be between 0.2 and 1.0\")}var mobileNetArchitectures={100:mobileNet100Architecture,75:mobileNet75Architecture,50:mobileNet50Architecture};function toOutputStridedLayers(e,t){var r=1,n=1;return e.map(function(e,o){var i,a,s=e[0],u=e[1];return r===t?(i=1,a=n,n*=u):(i=u,a=1,r*=u),{blockId:o,convType:s,stride:i,rate:a,outputStride:r}})}var MobileNet=function(){function e(e,t){this.PREPROCESS_DIVISOR=scalar(127.5),this.ONE=scalar(1),this.variables=e,this.convolutionDefinitions=t}return e.prototype.predict=function(e,t){var r=this,n=cast(e,\"float32\").div(this.PREPROCESS_DIVISOR).sub(this.ONE);return toOutputStridedLayers(this.convolutionDefinitions,t).reduce(function(e,t){var n=t.blockId,o=t.stride,i=t.convType,a=t.rate;if(\"conv2d\"===i)return r.conv(e,o,n);if(\"separableConv\"===i)return r.separableConv(e,o,n,a);throw Error(\"Unknown conv type of \"+i)},n)},e.prototype.convToOutput=function(e,t){return e.conv2d(this.weights(t),1,\"same\").add(this.biases(t))},e.prototype.conv=function(e,t,r){return e.conv2d(this.weights(\"Conv2d_\"+String(r)),t,\"same\").add(this.biases(\"Conv2d_\"+String(r))).clipByValue(0,6)},e.prototype.separableConv=function(e,t,r,n){void 0===n&&(n=1);var o=\"Conv2d_\"+String(r)+\"_depthwise\",i=\"Conv2d_\"+String(r)+\"_pointwise\";return e.depthwiseConv2D(this.depthwiseWeights(o),t,\"same\",\"NHWC\",n).add(this.biases(o)).clipByValue(0,6).conv2d(this.weights(i),[1,1],\"same\").add(this.biases(i)).clipByValue(0,6)},e.prototype.weights=function(e){return this.variables[\"MobilenetV1/\"+e+\"/weights\"]},e.prototype.biases=function(e){return this.variables[\"MobilenetV1/\"+e+\"/biases\"]},e.prototype.depthwiseWeights=function(e){return this.variables[\"MobilenetV1/\"+e+\"/depthwise_weights\"]},e.prototype.dispose=function(){for(var e in this.variables)this.variables[e].dispose()},e}(),GOOGLE_CLOUD_STORAGE_DIR=\"https://storage.googleapis.com/tfjs-models/weights/posenet/\",checkpoints={1.01:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_101/\",architecture:mobileNetArchitectures[100]},1:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_100/\",architecture:mobileNetArchitectures[100]},.75:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_075/\",architecture:mobileNetArchitectures[75]},.5:{url:GOOGLE_CLOUD_STORAGE_DIR+\"mobilenet_v1_050/\",architecture:mobileNetArchitectures[50]}};function mod(e,t){return tidy(function(){var r=e.div(scalar(t,\"int32\"));return e.sub(r.mul(scalar(t,\"int32\")))})}function argmax2d(e){var t=e.shape,r=t[0],n=t[1],o=t[2];return tidy(function(){var t=e.reshape([r*n,o]).argMax(0),i=t.div(scalar(n,\"int32\")).expandDims(1),a=mod(t,n).expandDims(1);return concat([i,a],1)})}function getPointsConfidence(e,t){for(var r=t.shape[0],n=new Float32Array(r),o=0;o<r;o++){var i=t.get(o,0),a=t.get(o,1);n[o]=e.get(i,a,o)}return n}function getOffsetPoint$1(e,t,r,n){return{y:n.get(e,t,r),x:n.get(e,t,r+NUM_KEYPOINTS)}}function getOffsetVectors(e,t){for(var r=[],n=0;n<NUM_KEYPOINTS;n++){var o=getOffsetPoint$1(e.get(n,0).valueOf(),e.get(n,1).valueOf(),n,t),i=o.x,a=o.y;r.push(a),r.push(i)}return tensor2d(r,[NUM_KEYPOINTS,2])}function getOffsetPoints(e,t,r){return tidy(function(){var n=getOffsetVectors(e,r);return e.toTensor().mul(scalar(t,\"int32\")).toFloat().add(n)})}function decodeSinglePose(e,t,r){return __awaiter(this,void 0,void 0,function(){var n,o,i,a,s,u,l,c,p,f;return __generator(this,function(h){switch(h.label){case 0:return n=0,o=argmax2d(e),[4,Promise.all([toTensorBuffer(e),toTensorBuffer(t),toTensorBuffer(o,\"int32\")])];case 1:return i=h.sent(),a=i[0],s=i[1],u=i[2],[4,toTensorBuffer(l=getOffsetPoints(u,r,s))];case 2:return c=h.sent(),p=Array.from(getPointsConfidence(a,u)),f=p.map(function(e,t){return n+=e,{position:{y:c.get(t,0),x:c.get(t,1)},part:partNames[t],score:e}}),o.dispose(),l.dispose(),[2,{keypoints:f,score:n/f.length}]}})})}var _this=void 0;function toInputTensor(e,t,r,n){var o=e instanceof Tensor?e:fromPixels(e);return n?o.reverse(1).resizeBilinear([t,r]):o.resizeBilinear([t,r])}var PoseNet=function(){function e(e){this.mobileNet=e}return e.prototype.predictForSinglePose=function(e,t){var r=this;return void 0===t&&(t=16),assertValidOutputStride(t),tidy(function(){var n=r.mobileNet.predict(e,t),o=r.mobileNet.convToOutput(n,\"heatmap_2\"),i=r.mobileNet.convToOutput(n,\"offset_2\");return{heatmapScores:o.sigmoid(),offsets:i}})},e.prototype.predictForMultiPose=function(e,t){var r=this;return void 0===t&&(t=16),tidy(function(){var n=r.mobileNet.predict(e,t),o=r.mobileNet.convToOutput(n,\"heatmap_2\"),i=r.mobileNet.convToOutput(n,\"offset_2\"),a=r.mobileNet.convToOutput(n,\"displacement_fwd_2\"),s=r.mobileNet.convToOutput(n,\"displacement_bwd_2\");return{heatmapScores:o.sigmoid(),offsets:i,displacementFwd:a,displacementBwd:s}})},e.prototype.estimateSinglePose=function(e,t,r,n){return void 0===t&&(t=.5),void 0===r&&(r=!1),void 0===n&&(n=16),__awaiter(this,void 0,void 0,function(){var o,i,a,s,u,l,c,p,f,h=this;return __generator(this,function(d){switch(d.label){case 0:return assertValidOutputStride(n),assertValidScaleFactor(t),o=e instanceof Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width],i=o[0],a=o[1],s=getValidResolution(t,i,n),u=getValidResolution(t,a,n),l=tidy(function(){var t=toInputTensor(e,s,u,r);return h.predictForSinglePose(t,n)}),c=l.heatmapScores,p=l.offsets,[4,decodeSinglePose(c,p,n)];case 1:return f=d.sent(),c.dispose(),p.dispose(),[2,scalePose(f,i/s,a/u)]}})})},e.prototype.estimateMultiplePoses=function(e,t,r,n,o,i,a){return void 0===t&&(t=.5),void 0===r&&(r=!1),void 0===n&&(n=16),void 0===o&&(o=5),void 0===i&&(i=.5),void 0===a&&(a=20),__awaiter(this,void 0,void 0,function(){var s,u,l,c,p,f,h,d,v,m,g,b=this;return __generator(this,function(y){switch(y.label){case 0:return assertValidOutputStride(n),assertValidScaleFactor(t),s=e instanceof Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width],u=s[0],l=s[1],c=getValidResolution(t,u,n),p=getValidResolution(t,l,n),f=tidy(function(){var t=toInputTensor(e,c,p,r);return b.predictForMultiPose(t,n)}),h=f.heatmapScores,d=f.offsets,v=f.displacementFwd,m=f.displacementBwd,[4,decodeMultiplePoses(h,d,v,m,n,o,i,a)];case 1:return g=y.sent(),h.dispose(),d.dispose(),v.dispose(),m.dispose(),[2,scalePoses(g,u/c,l/p)]}})})},e.prototype.dispose=function(){this.mobileNet.dispose()},e}();function load(e){return void 0===e&&(e=1.01),__awaiter(this,void 0,void 0,function(){var t,r;return __generator(this,function(n){switch(n.label){case 0:if(null==tf)throw new Error(\"Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.\");return t=Object.keys(checkpoints),util.assert(\"number\"==typeof e,\"got multiplier type of \"+typeof e+\" when it should be a number.\"),util.assert(t.indexOf(e.toString())>=0,\"invalid multiplier value of \"+e+\".  No checkpoint exists for that multiplier. Must be one of \"+t.join(\",\")+\".\"),[4,mobilenetLoader.load(e)];case 1:return r=n.sent(),[2,new PoseNet(r)]}})})}var mobilenetLoader={load:function(e){return __awaiter(_this,void 0,void 0,function(){var t,r;return __generator(this,function(n){switch(n.label){case 0:return t=checkpoints[e],[4,new CheckpointLoader(t.url).getAllVariables()];case 1:return r=n.sent(),[2,new MobileNet(r,t.architecture)]}})})}};export{decodeMultiplePoses,decodeSinglePose,load,PoseNet,checkpoints,partIds,partNames,poseChain,getAdjacentKeyPoints,getBoundingBox,getBoundingBoxPoints};\n","var $export = require('./_export');\n// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\n$export($export.S, 'Object', { create: require('./_object-create') });\n","require('../../modules/es6.object.create');\nvar $Object = require('../../modules/_core').Object;\nmodule.exports = function create(P, D) {\n  return $Object.create(P, D);\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/object/create\"), __esModule: true };","// Works with __proto__ only. Old v8 can't work with null proto objects.\n/* eslint-disable no-proto */\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\nvar check = function (O, proto) {\n  anObject(O);\n  if (!isObject(proto) && proto !== null) throw TypeError(proto + \": can't set as prototype!\");\n};\nmodule.exports = {\n  set: Object.setPrototypeOf || ('__proto__' in {} ? // eslint-disable-line\n    function (test, buggy, set) {\n      try {\n        set = require('./_ctx')(Function.call, require('./_object-gopd').f(Object.prototype, '__proto__').set, 2);\n        set(test, []);\n        buggy = !(test instanceof Array);\n      } catch (e) { buggy = true; }\n      return function setPrototypeOf(O, proto) {\n        check(O, proto);\n        if (buggy) O.__proto__ = proto;\n        else set(O, proto);\n        return O;\n      };\n    }({}, false) : undefined),\n  check: check\n};\n","// 19.1.3.19 Object.setPrototypeOf(O, proto)\nvar $export = require('./_export');\n$export($export.S, 'Object', { setPrototypeOf: require('./_set-proto').set });\n","require('../../modules/es6.object.set-prototype-of');\nmodule.exports = require('../../modules/_core').Object.setPrototypeOf;\n","module.exports = { \"default\": require(\"core-js/library/fn/object/set-prototype-of\"), __esModule: true };","// 19.1.2.9 Object.getPrototypeOf(O)\nvar toObject = require('./_to-object');\nvar $getPrototypeOf = require('./_object-gpo');\n\nrequire('./_object-sap')('getPrototypeOf', function () {\n  return function getPrototypeOf(it) {\n    return $getPrototypeOf(toObject(it));\n  };\n});\n","require('../../modules/es6.object.get-prototype-of');\nmodule.exports = require('../../modules/_core').Object.getPrototypeOf;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nPoseNet\nThe original PoseNet model was ported to TensorFlow.js by Dan Oved.\n*/\n\nimport EventEmitter from 'events';\nimport * as tf from '@tensorflow/tfjs';\nimport * as posenet from '@tensorflow-models/posenet';\nimport callCallback from '../utils/callcallback';\n\nconst DEFAULTS = {\n  imageScaleFactor: 0.3,\n  outputStride: 16,\n  flipHorizontal: false,\n  minConfidence: 0.5,\n  maxPoseDetections: 5,\n  scoreThreshold: 0.5,\n  nmsRadius: 20,\n  detectionType: 'multiple',\n  multiplier: 0.75,\n};\n\nclass PoseNet extends EventEmitter {\n  constructor(video, options, detectionType, callback) {\n    super();\n    this.video = video;\n    this.detectionType = detectionType || DEFAULTS.detectionType;\n    this.imageScaleFactor = options.imageScaleFactor || DEFAULTS.imageScaleFactor;\n    this.outputStride = options.outputStride || DEFAULTS.outputStride;\n    this.flipHorizontal = options.flipHorizontal || DEFAULTS.flipHorizontal;\n    this.minConfidence = options.minConfidence || DEFAULTS.minConfidence;\n    this.multiplier = options.multiplier || DEFAULTS.multiplier;\n    this.ready = callCallback(this.load(), callback);\n    // this.then = this.ready.then;\n  }\n\n  async load() {\n    this.net = await posenet.load(this.multiplier);\n\n    if (this.video) {\n      if (this.video.readyState === 0) {\n        await new Promise((resolve) => {\n          this.video.onloadeddata = () => resolve();\n        });\n      }\n      if (this.detectionType === 'single') {\n        this.singlePose();\n      }\n\n      this.multiPose();\n    }\n    return this;\n  }\n\n  skeleton(keypoints, confidence = this.minConfidence) {\n    return posenet.getAdjacentKeyPoints(keypoints, confidence);\n  }\n\n  // eslint-disable-next-line class-methods-use-this\n  mapParts(pose) {\n    const newPose = JSON.parse(JSON.stringify(pose));\n    newPose.keypoints.forEach((keypoint) => {\n      newPose[keypoint.part] = {\n        x: keypoint.position.x,\n        y: keypoint.position.y,\n        confidence: keypoint.score,\n      };\n    });\n    return newPose;\n  }\n\n  /* eslint max-len: [\"error\", { \"code\": 180 }] */\n  async singlePose(inputOr, cb) {\n    let input;\n    if (inputOr instanceof HTMLImageElement || inputOr instanceof HTMLVideoElement) {\n      input = inputOr;\n    } else if (typeof inputOr === 'object' && (inputOr.elt instanceof HTMLImageElement || inputOr.elt instanceof HTMLVideoElement)) {\n      input = inputOr.elt; // Handle p5.js image and video\n    } else {\n      input = this.video;\n    }\n\n    const pose = await this.net.estimateSinglePose(input, this.imageScaleFactor, this.flipHorizontal, this.outputStride);\n    const poseWithParts = this.mapParts(pose);\n    const result = [{ poseWithParts, skeleton: this.skeleton(pose.keypoints) }];\n    this.emit('pose', result);\n\n    if (this.video) {\n      return tf.nextFrame().then(() => this.singlePose());\n    }\n\n    if (typeof cb === 'function') {\n      cb(result);\n    }\n\n    return result;\n  }\n\n  async multiPose(inputOr, cb) {\n    let input;\n\n    if (inputOr instanceof HTMLImageElement || inputOr instanceof HTMLVideoElement) {\n      input = inputOr;\n    } else if (typeof inputOr === 'object' && (inputOr.elt instanceof HTMLImageElement || inputOr.elt instanceof HTMLVideoElement)) {\n      input = inputOr.elt; // Handle p5.js image and video\n    } else {\n      input = this.video;\n    }\n\n    const poses = await this.net.estimateMultiplePoses(input, this.imageScaleFactor, this.flipHorizontal, this.outputStride);\n    const posesWithParts = poses.map(pose => (this.mapParts(pose)));\n    const result = posesWithParts.map(pose => ({ pose, skeleton: this.skeleton(pose.keypoints) }));\n    this.emit('pose', result);\n    if (this.video) {\n      return tf.nextFrame().then(() => this.multiPose());\n    }\n\n    if (typeof cb === 'function') {\n      cb(result);\n    }\n\n    return result;\n  }\n}\n\nconst poseNet = (videoOrOptionsOrCallback, optionsOrCallback, cb) => {\n  let video;\n  let options = {};\n  let callback = cb;\n  let detectionType = null;\n\n  if (videoOrOptionsOrCallback instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'object' && videoOrOptionsOrCallback.elt instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback.elt; // Handle a p5.js video element\n  } else if (typeof videoOrOptionsOrCallback === 'object') {\n    options = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'function') {\n    callback = videoOrOptionsOrCallback;\n  }\n\n  if (typeof optionsOrCallback === 'object') {\n    options = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'function') {\n    callback = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'string') {\n    detectionType = optionsOrCallback;\n  }\n\n  return new PoseNet(video, options, detectionType, callback);\n};\n\nexport default poseNet;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint max-len: [\"error\", { \"code\": 180 }] */\n\nfunction map(num, inmin, inmax) {\n  return ((num - inmin) * 360) / (inmax - inmin);\n}\nfunction hsl(num, min, max) {\n  return `hsla(${map(num, min, max)}, 100%, 50%,1)`;\n}\nfunction drawObject(item, ctx, color) {\n  const txt = `${item.label} : ${(item.score * 100).toFixed(2)}%`;\n  ctx.strokeStyle = color;\n  ctx.beginPath();\n  ctx.rect(item.x, item.y, item.w, item.h);\n  ctx.stroke();\n  ctx.fillStyle = color;\n  if (item.y - 25 >= 0) {\n    // text box on top\n    ctx.fillRect(item.x - 1.5, item.y - 1.5, 90, -15);\n    ctx.fillStyle = '#000000';\n    ctx.fillText(txt, item.x, item.y - 5);\n  } else {\n    // text box Inside\n    ctx.fillRect(item.x - 1.5, item.y - 1.5, 90, 20);\n    ctx.fillStyle = '#000000';\n    ctx.fillText(txt, item.x, item.y + 12);\n  }\n}\nfunction draw(detections, ctx, labelsLength) {\n  ctx.lineWidth = 1.5;\n  ctx.font = '13px Segoe UI';\n  detections.forEach((det) => {\n    const color = hsl(det.labelIndex, 0, labelsLength);\n    drawObject(det, ctx, color);\n  });\n}\n\nexport default draw;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/* eslint-disable */\nexport default [\n  'person',\n  'bicycle',\n  'car',\n  'motorbike',\n  'aeroplane',\n  'bus',\n  'train',\n  'truck',\n  'boat',\n  'traffic light',\n  'fire hydrant',\n  'stop sign',\n  'parking meter',\n  'bench',\n  'bird',\n  'cat',\n  'dog',\n  'horse',\n  'sheep',\n  'cow',\n  'elephant',\n  'bear',\n  'zebra',\n  'giraffe',\n  'backpack',\n  'umbrella',\n  'handbag',\n  'tie',\n  'suitcase',\n  'frisbee',\n  'skis',\n  'snowboard',\n  'sports ball',\n  'kite',\n  'baseball bat',\n  'baseball glove',\n  'skateboard',\n  'surfboard',\n  'tennis racket',\n  'bottle',\n  'wine glass',\n  'cup',\n  'fork',\n  'knife',\n  'spoon',\n  'bowl',\n  'banana',\n  'apple',\n  'sandwich',\n  'orange',\n  'broccoli',\n  'carrot',\n  'hot dog',\n  'pizza',\n  'donut',\n  'cake',\n  'chair',\n  'sofa',\n  'pottedplant',\n  'bed',\n  'diningtable',\n  'toilet',\n  'tvmonitor',\n  'laptop',\n  'mouse',\n  'remote',\n  'keyboard',\n  'cell phone',\n  'microwave',\n  'oven',\n  'toaster',\n  'sink',\n  'refrigerator',\n  'book',\n  'clock',\n  'vase',\n  'scissors',\n  'teddy bear',\n  'hair drier',\n  'toothbrush',\n];","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n/* eslint max-len: [\"error\", { \"code\": 180 }] */\n/* eslint class-methods-use-this: off */\n\nimport * as tf from '@tensorflow/tfjs';\nimport COCO_CLASSES from './../utils/COCO_CLASSES';\nimport callCallback from '../utils/callcallback';\nimport draw from './utils';\n\n// this is a config for yolov2-tiny\nconst DEFAULTS = {\n  // Model URL\n  modelURL: 'https://raw.githubusercontent.com/ml5js/ml5-data-and-models/master/models/YOLO/model.json',\n  // Model version : this is important as there is some post processing changes 'v2' ||'v3'\n  version: 'v2',\n  // this is the size of the model input image : we can lower this to gain more performance\n  //  the ones that i found to be a good compromise between perf/accracy are 224, 256, 320\n  modelSize: 416, // 128 , 160 , 192 , 224 , 256 , 288 , 320 , 352 , 384 , 416,\n\n  // Intersection Over Union threshhold and Class probability threshold  we use this to filter the output of the neural net\n  iouThreshold: 0.5,\n  classProbThreshold: 0.5,\n\n  // class labels\n  labels: COCO_CLASSES,\n\n  // more info see  Dimension priors : https://arxiv.org/pdf/1612.08242.pdf\n  anchors: [\n    [0.57273, 0.677385],\n    [1.87446, 2.06253],\n    [3.33843, 5.47434],\n    [7.88282, 3.52778],\n    [9.77052, 9.16828],\n  ],\n  // in yolo v3  the neural net  give 2 or more outputs(set of boxes) so this mask splits the anchors to groups\n  // each corresponding to a spesific layer/output.\n  // for example  the tiny yolo v2 outputs 1 output that has 13x13x5 boxes (if you use 416 as a model size)\n  masks: [[0, 1, 2, 3, 4]],\n\n  // this is just more customization options concerning the preprocessing  pahse\n  preProcessingOptions: {\n    // 'NearestNeighbor'  - this output a more accurate image but but take a bit longer\n    // 'Bilinear' - this faster but scrifices image quality\n    ResizeOption: 'Bilinear',\n    AlignCorners: true,\n  },\n};\n\nclass YOLODetector {\n  constructor(video, options, callback) {\n    this.video = video;\n    this.model = null;\n\n    this.modelURL = options.modelURL;\n    this.version = options.version;\n    this.modelSize = options.modelSize;\n    this.iouThreshold = options.iouThreshold;\n    this.classProbThreshold = options.classProbThreshold;\n    this.labels = options.labels;\n    this.anchors = options.anchors;\n    this.masks = options.masks;\n    this.preProcessingOptions = options.preProcessingOptions;\n\n    this.modelReady = false;\n    this.isPredicting = false;\n\n    // Load the model\n    this.ready = callCallback(this.loadModel(), callback);\n  }\n\n  async loadModel() {\n    this.model = await tf.loadModel(this.modelURL);\n  }\n  async cache() {\n    const dummy = tf.zeros([this.modelSize, this.modelSize, 3]);\n    await this.detectInternal(dummy);\n    tf.dispose(dummy);\n  }\n\n  async detect(inputOrCallback, cb) {\n    await this.ready;\n    let imgToPredict;\n    let callback;\n    if (typeof inputOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputOrCallback;\n    } else {\n      imgToPredict = inputOrCallback;\n      callback = cb;\n    }\n    return callCallback(this.detectInternal(imgToPredict), callback);\n  }\n\n  /**\n   * Draw the detections on a `HTMLCanvasElement`\n   * @param detections  detections to be drawn\n   * @param canvas `HTMLCanvasElement` to draw to\n   */\n  draw(detections, canvas) {\n    const ctx = canvas.getContext('2d');\n    const lablesLen = this.labels.length;\n    draw(detections, ctx, lablesLen);\n  }\n\n  /**\n   * the main function that handles the infrence\n   * @param image the input image;\n   *\n   * @return a `Detection[]` that contains:\n   *``` javascript\n   *      {\n   *         label:string;\n   *         labelIndex:number;\n   *         score:number;\n   *         x:number;\n   *         y:number;\n   *         w:number;\n   *         h:number;\n   *       }\n   * ```\n   */\n  async detectInternal(image) {\n    const results = tf.tidy(() => {\n      const [imgWidth, imgHeight, imageTensor] = this.preProcess(image, this.modelSize, this.preProcessingOptions);\n      const preds = this.model.predict(imageTensor, { batchSize: 1 });\n      const [boxes, scores] = this.postProcessRawPrediction(preds);\n      const scaledBoxes = this.rescaleBoxes(boxes, imgWidth, imgHeight);\n      return [scaledBoxes, scores];\n    });\n    const filtered = await this.filterBoxesAsync(results[0], results[1], this.classProbThreshold);\n    tf.dispose(results);\n    const [boxArr, scoresArr, classesArr] = await Promise.all([filtered[0].data(), filtered[1].data(), filtered[2].data()]);\n    tf.dispose(filtered);\n    const rawBoxes = this.NonMaxSuppression(boxArr, scoresArr, classesArr, this.iouThreshold);\n    const detections = this.createDetectionArray(rawBoxes);\n    return detections;\n  }\n\n  // these are just synchronous version of the above methods\n  async detectSync(image) {\n    return this.detectInternalSync(image);\n  }\n  async detectInternalSync(image) {\n    return tf.tidy(() => {\n      const [imgWidth, imgHeight, imageTensor] = this.preProcess(image, this.modelSize, this.preProcessingOptions);\n      const preds = this.model.predict(imageTensor, { batchSize: 1 });\n      const [allBoxes, allScores] = this.postProcessRawPrediction(preds);\n      const scaledBoxes = this.rescaleBoxes(allBoxes, imgWidth, imgHeight);\n      const [boxes, scores, classes] = this.filterBoxes(scaledBoxes, allScores, this.classProbThreshold);\n      const boxArr = boxes.dataSync();\n      const scoresArr = scores.dataSync();\n      const classesArr = classes.dataSync();\n      tf.dispose([boxes, scores, classes]);\n      const rawBoxes = this.NonMaxSuppression(boxArr, scoresArr, classesArr, this.iouThreshold);\n      return this.createDetectionArray(rawBoxes);\n    });\n  }\n\n  /**\n   * Performs the pre processing ops for the yolo/darknet CNN\n   *\n   * @param input can be  `HTMLCanvasElement` || `HTMLVideoElement` || `ImageData` || `HTMLImageElement` || `Tensor`;\n   * @param size model input size\n   * @param options some options regarding image resizing\n   *\n   * @return  an array the image original width and height and the preprocessed image tensor\n   *          original image Width as a `number`\n   *          original image Height as a `number`\n   *          a 4D tensor with the shape of `[1,size,size,3]`\n   */\n  preProcess(input, size, options) {\n    return tf.tidy(() => {\n      let image;\n      if (input instanceof tf.Tensor) {\n        image = input;\n      } else if (input instanceof HTMLImageElement || input instanceof HTMLVideoElement || input instanceof ImageData || input instanceof HTMLCanvasElement) {\n        image = tf.fromPixels(input);\n      } else if (typeof img === 'object' && (image.elt instanceof HTMLImageElement || image.elt instanceof HTMLVideoElement)) {\n        image = tf.fromPixels(image.elt); // Handle p5.js image and video.\n      }\n      const [imgWidth, imgHeight] = [image.shape[1], image.shape[0]];\n      // Normalize the image from [0, 255] to [0, 1].\n      const normalized = image.toFloat().div(tf.scalar(255));\n      let resized = normalized;\n      if (normalized.shape[0] !== size || normalized.shape[1] !== size) {\n        const alignCorners = options.AlignCorners;\n        if (options.ResizeOption === 'Bilinear') {\n          resized = tf.image.resizeNearestNeighbor(normalized, [size, size], alignCorners);\n        } else {\n          resized = tf.image.resizeBilinear(normalized, [size, size], alignCorners);\n        }\n      }\n      // Reshape to a single-element batch so we can pass it to predict.\n      const batched = resized.reshape([1, size, size, 3]);\n      return [imgWidth, imgHeight, batched];\n    });\n  }\n  /**\n   * the postprocessing function for the yolo object detection algorithm\n   * @param rawPrediction can be a `tf.Tensor` representing a single output (yolov2)\n   * or a `tf.Tensor[]` representing multiple outputs (yolov3 has 3 outputs ).\n   * each output has the shape of `[size, size, (numClasses+5) * numAnchors]`\n   * with the 5 representing : Box Coodinates [4] + BoxConfidence [1]\n   *\n   * @return a `tf.Tensor[]` that contain `[Boxes, Scores]`\n   * `Boxes` with a shape of `[numBoxes, 4]`\n   * Each `box` is defined by `[maxY, maxX, minY, minX]`\n   * Score with a shape of `[numBoxes, numClasses]`\n   */\n  postProcessRawPrediction(rawPrediction) {\n    const layers = [];\n    if (this.isTensorOrTensorArray(rawPrediction)) {\n      // its a single Tensor (v2)\n      layers.push(rawPrediction);\n    } else {\n      rawPrediction.forEach(layer => layers.push(layer));\n    }\n    const boxes = [];\n    const probs = [];\n    for (let i = 0; i < layers.length; i += 1) {\n      const mask = this.masks[i];\n      const numAnchors = mask.length;\n      const anchorsArr = [];\n      for (let j = 0; j < numAnchors; j += 1) {\n        anchorsArr.push(this.anchors[mask[j]]);\n      }\n      const anchorsTensor = tf.tensor(anchorsArr).reshape([1, 1, numAnchors, 2]);\n      const classesLength = this.labels.length;\n      // remove the batch dim\n      const squeezed = layers[i].squeeze([0]);\n      const [box, prob] = this.processLayer(squeezed, anchorsTensor, this.modelSize, classesLength, this.version);\n      boxes.push(box);\n      probs.push(prob);\n    }\n    const boxesTensor = tf.concat(boxes, 0);\n    const probsTensor = tf.concat(probs, 0);\n    return [boxesTensor, probsTensor];\n  }\n\n  /**\n   * Process 1 layer of the yolo output\n   * @param prediction a `tf.Tensor` representing 1 output of  the neural net\n   * @param anchorsTensor a `tf.Tensor` representing the anchors that correspond with the output\n   * shape : `[numAnchors, 2]`\n   * @param modelSize the input size for the neural net\n   * @param classesLen the number of classes/labels that the neural net predicts\n   * @param version yolo version `v2` || `v3`\n   *\n   * @return a `tf.Tensor[]` that containes `[boxes , Scores]` that correspond to the specific layer\n   */\n  processLayer(prediction, anchorsTensor, modelSize, classesLen, version) {\n    const [outputWidth, outputHeight] = [prediction.shape[0], prediction.shape[1]];\n    const anchorsLen = anchorsTensor.shape[2];\n    const numBoxes = outputWidth * outputHeight * anchorsLen;\n    // classesLen + 5 =  classesLen + x + y + w + h + obj_score\n    const reshaped = tf.reshape(prediction, [outputWidth, outputHeight, anchorsLen, classesLen + 5]);\n    let boxxy = tf.sigmoid(reshaped.slice([0, 0, 0, 0], [outputWidth, outputHeight, anchorsLen, 2]));\n    let boxwh = tf.exp(reshaped.slice([0, 0, 0, 2], [outputWidth, outputHeight, anchorsLen, 2]));\n    const boxConfidence = tf.sigmoid(reshaped.slice([0, 0, 0, 4], [outputWidth, outputHeight, anchorsLen, 1])).reshape([numBoxes, 1]);\n    const boxClassProbs = tf.softmax(reshaped.slice([0, 0, 0, 5], [outputWidth, outputHeight, anchorsLen, classesLen])).reshape([numBoxes, classesLen]);\n    const classProbs = tf.mul(boxConfidence, boxClassProbs);\n    // prep\n    const boxIndex = tf.range(0, outputWidth);\n    const boxHeightIndex = tf.tile(boxIndex, [outputHeight]);\n    const boxWidthindex = tf.tile(tf.expandDims(boxIndex, 0), [outputWidth, 1]).transpose().flatten();\n    const boxIndexGrid = tf.transpose(tf.stack([boxHeightIndex, boxWidthindex])).reshape([outputWidth, outputHeight, 1, 2]);\n    const convDims = tf.reshape(tf.tensor1d([outputWidth, outputHeight]), [1, 1, 1, 2]);\n    // end\n    boxxy = tf.div(tf.add(boxxy, boxIndexGrid), convDims);\n    boxwh = tf.mul(boxwh, anchorsTensor);\n    if (version === 'v3') {\n      boxwh = tf.div(boxwh, tf.tensor([modelSize]));\n    } else {\n      boxwh = tf.div(boxwh, convDims);\n    }\n    const boxes = this.boxesToCorners(boxxy, boxwh).reshape([numBoxes, 4]);\n    return [boxes, classProbs];\n  }\n\n  /**\n   * transforms the yolo bounding box coordinates from `center` to `top left` and joins them.\n   * @param boxXY a `tf.Tensor` representing the boxes `X, Y` coordinates.\n   * @param boxWH a `tf.Tensor` representing the boxes `Width, Height` values.\n   *\n   * @returns a `tf.Tensor` representing the transformed & joined boxes coordinates\n   */\n  boxesToCorners(boxXY, boxWH) {\n    const two = tf.scalar(2);\n    const boxMins = tf.sub(boxXY, tf.div(boxWH, two));\n    const boxMaxes = tf.add(boxXY, tf.div(boxWH, two));\n    const dim0 = boxMins.shape[0];\n    const dim1 = boxMins.shape[1];\n    const dim2 = boxMins.shape[2];\n    const size = [dim0, dim1, dim2, 1];\n    return tf.concat([\n      boxMins.slice([0, 0, 0, 1], size),\n      boxMins.slice([0, 0, 0, 0], size),\n      boxMaxes.slice([0, 0, 0, 1], size),\n      boxMaxes.slice([0, 0, 0, 0], size),\n    ], 3);\n  }\n\n  /**\n   * rescales the boxes coordinates to the input image dimentions.\n   * @param boxes a `tf.Tensor` representing the boxes coordinates. shape : `[numBoxes,4]`\n   * @param imgWidth original input image Width.\n   * @param imgHeight  original input image Height.\n   *\n   * @return a `tf.Tensor` representing the scaled boxes coordinates.\n   */\n  rescaleBoxes(boxes, imgWidth, imgHeight) {\n    const width = tf.scalar(imgWidth);\n    const height = tf.scalar(imgHeight);\n    // this for [maxY, maxX, minY, minX]\n    const imageDims = tf.stack([height, width, height, width]).reshape([1, 4]);\n    // this for x y w h (ie when you don't use this.boxesToCorners())\n    // const ImageDims = tf.stack([Width, Height, Width, Height]).reshape([1, 4]);\n    return boxes.mul(imageDims);\n  }\n\n  /**\n   * filters boxes synchronously by a `classProbThresh` Threshold\n   * @param boxes a 2D box `tf.Tensor` with the shape of `[numBoxes,4]`\n   * @param scores a 2D scores  `tf.Tensor`  with the shape of `[numBoxes,labelsLength]`\n   * @param classProbThresh  a number indecating the score threshold defaults to .5\n   *\n   * @return a  `tf.Tensor[]` constaining `[filtredBoxes, filtredScores, filtredClasses]`\n   *\n   * normaly this would be inside a tf.tidy\n   * so i skipped on the memory managment\n   */\n  filterBoxes(boxes, scores, classProbThresh = 0.5) {\n    const boxScore = tf.max(scores, -1);\n    const boxClasses = tf.argMax(scores, -1);\n    // score filter mask\n    const filterThresh = tf.scalar(classProbThresh);\n    const filterMask = tf.greaterEqual(boxScore, filterThresh);\n    // this is somewhat a replacment for tf.boolean_mask\n    const indicesTensor = tf.linspace(0, boxes.shape[0] - 1, boxes.shape[0]).toInt();\n    const negativeIndicesTensor = tf.fill([boxes.shape[0]], -1, 'int32');\n    const indices = tf.where(filterMask, indicesTensor, negativeIndicesTensor);\n    const filteredIndicesTensor = tf.tensor1d(indices.dataSync().filter(i => i >= 0), 'int32');\n    return [boxes.gather(filteredIndicesTensor), boxScore.gather(filteredIndicesTensor), boxClasses.gather(filteredIndicesTensor)];\n  }\n\n  /**\n   * filters boxes asynchronously by a `classProbThresh` Threshold\n   * @param boxes a 2D box `tf.Tensor` with the shape of `[numBoxes,4]`\n   * @param scores a 2D scores  `tf.Tensor`  with the shape of `[numBoxes,labelsLength]`\n   * @param classProbThresh  a number indecating the score threshold defaults to .5\n   *\n   * @return a  `Promise<tf.Tensor[]>` constaining `[filtredBoxes, filtredScores, filtredClasses]`\n   *\n   * this is gooing to be called outside tf.tidy so we need to do memory managment manually\n   * the input & output tensors will be clean outside so we should cleaned only the local variables\n   */\n  async filterBoxesAsync(boxes, scores, classProbThresh = 0.5) {\n    const boxScore = tf.max(scores, -1);\n    const boxClasses = tf.argMax(scores, -1);\n    // filter mask\n    const filterThresh = tf.scalar(classProbThresh);\n    const filterMask = tf.greaterEqual(boxScore, filterThresh);\n    // i think we can replace this with tf.setdiff1dAsync(x, y)\n    // https://js.tensorflow.org/api/latest/#setdiff1dAsync\n    const range = tf.linspace(0, boxes.shape[0] - 1, boxes.shape[0]);\n    const indicesTensor = range.toInt();\n    const negativeIndicesTensor = tf.fill([boxes.shape[0]], -1, 'int32');\n    const indices = tf.where(filterMask, indicesTensor, negativeIndicesTensor);\n    const filteredIndicesTensor = tf.tensor1d((await indices.data()).filter(i => i >= 0), 'int32');\n    //  END\n    const filtredBoxes = boxes.gather(filteredIndicesTensor);\n    const filtredScores = boxScore.gather(filteredIndicesTensor);\n    const filtredClasses = boxClasses.gather(filteredIndicesTensor);\n    tf.dispose([boxScore, boxClasses, filterThresh, filterMask,\n      range, indicesTensor, negativeIndicesTensor,\n      indices, filteredIndicesTensor]);\n    return [filtredBoxes, filtredScores, filtredClasses];\n  }\n\n  /**\n   * a small utility check to see if `toBeDetermined` is a `tf.Tensor` or a `tf.Tensor[]`\n   *\n   * @param  toBeDetermined `tf.Tensor` || `tf.Tensor[]`\n   *\n   * @returns a `boolean` indicating if it's a `tf.Tensor` or a `tf.Tensor[]`\n   */\n  isTensorOrTensorArray(toBeDetermined) {\n    if (toBeDetermined.shape) {\n      return true;\n    }\n    return false;\n  }\n\n  /**\n   * Implements Non-max Suppression\n   *\n   * @param boxArr an array containing the boxes coords:Length must be `numBoxes*4`\n   * @param scoreArr an array  containing the boxes scores probability:Length must be `numBoxes`\n   * @param classesArr an array  containing the detection label index:Length must be `numBoxes`\n   * @param iou_thresh  Non-max Suppression Threshold\n   *\n   * @return RawDetection\n   */\n  NonMaxSuppression(boxArr, scoreArr, classesArr, iouThresh = 0.5) {\n    const zipped = [];\n    for (let i = 0; i < scoreArr.length; i += 1) {\n      zipped.push([\n        [boxArr[4 * i], boxArr[(4 * i) + 1], boxArr[(4 * i) + 2], boxArr[(4 * i) + 3]],\n        scoreArr[i],\n        classesArr[i],\n      ]);\n    }\n    // Sort by descending order of scores (first index of zipped array)\n    const sorted = zipped.sort((a, b) => b[1] - a[1]);\n    const out = [];\n    // Greedily go through boxes in descending score order and only\n    // return boxes that are below the IoU threshold.\n    for (let i = 0; i < sorted.length; i += 1) {\n      let push = true;\n      for (let j = 0; j < out.length; j += 1) {\n        const IOU = this.iou(out[j][0], sorted[i][0]);\n        if (IOU > iouThresh) {\n          push = false;\n          break;\n        }\n      }\n      if (push) {\n        out.push(sorted[i]);\n      }\n    }\n    return out;\n  }\n\n  /**\n   * Implement the intersection over union (IoU) between box1 and box2\n   *\n   * @param box1 -- first box, number list with coordinates `(x1, y1, x2, y2)`\n   * @param box2 -- second box, number list with coordinates `(x1, y1, x2, y2)`\n   *\n   * @return the value of `interarea` /  `unionarea`\n   */\n  iou(box1, box2) {\n    // Calculate the (y1, x1, y2, x2) coordinates of the intersection of box1 and box2. Calculate its Area.\n    const xi1 = Math.max(box1[0], box2[0]);\n    const yi1 = Math.max(box1[1], box2[1]);\n    const xi2 = Math.min(box1[2], box2[2]);\n    const yi2 = Math.min(box1[3], box2[3]);\n    const interarea = (yi2 - yi1) * (xi2 - xi1);\n    // Calculate the Union area by using Formula: Union(A,B) = A + B - Inter(A,B)\n    const box1area = (box1[2] - box1[0]) * (box1[3] - box1[1]);\n    const box2area = (box2[2] - box2[0]) * (box2[3] - box2[1]);\n    const unionarea = (box1area + box2area) - interarea;\n    // compute the IoU\n    return interarea / unionarea;\n  }\n  /**\n   * The final phase in the post processing that outputs the final `Detection[]`\n   *\n   * @param finalBoxes an array containing the raw box information\n   *\n   * @return a `Detection[]` with the final collected boxes\n   */\n  createDetectionArray(finalBoxes) {\n    const detections = [];\n    for (let i = 0; i < finalBoxes.length; i += 1) {\n      const [maxY, maxX, minY, minX] = finalBoxes[i][0];\n      const classIndex = finalBoxes[i][2];\n      const detection = {\n        labelIndex: classIndex,\n        label: this.labels[classIndex],\n        score: finalBoxes[i][1],\n        x: maxX,\n        y: maxY,\n        w: minX - maxX,\n        h: minY - maxY,\n      };\n      detections.push(detection);\n    }\n    return detections;\n  }\n}\n\nconst YOLO = (videoOr, optionsOr, cb) => {\n  let video = null;\n  let options = {};\n  let callback = cb;\n\n  if (videoOr instanceof HTMLVideoElement) {\n    video = videoOr;\n  } else if (typeof videoOr === 'object' && videoOr.elt instanceof HTMLVideoElement) {\n    video = videoOr.elt; // Handle p5.js image\n  } else if (typeof videoOr === 'function') {\n    callback = videoOr;\n  } else if (typeof videoOr === 'object') {\n    options = videoOr;\n  }\n\n  if (typeof optionsOr === 'object') {\n    options = optionsOr;\n  } else if (typeof optionsOr === 'function') {\n    callback = optionsOr;\n  }\n\n  options = {\n    ...DEFAULTS,\n    ...options,\n  };\n\n\n  return new YOLODetector(video, options, callback);\n};\n\nexport default YOLO;\n","var getKeys = require('./_object-keys');\nvar toIObject = require('./_to-iobject');\nvar isEnum = require('./_object-pie').f;\nmodule.exports = function (isEntries) {\n  return function (it) {\n    var O = toIObject(it);\n    var keys = getKeys(O);\n    var length = keys.length;\n    var i = 0;\n    var result = [];\n    var key;\n    while (length > i) if (isEnum.call(O, key = keys[i++])) {\n      result.push(isEntries ? [key, O[key]] : O[key]);\n    } return result;\n  };\n};\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $values = require('./_object-to-array')(false);\n\n$export($export.S, 'Object', {\n  values: function values(it) {\n    return $values(it);\n  }\n});\n","require('../../modules/es7.object.values');\nmodule.exports = require('../../modules/_core').Object.values;\n","module.exports = { \"default\": require(\"core-js/library/fn/object/values\"), __esModule: true };","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nWord2Vec\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport callCallback from '../utils/callcallback';\n\n\nclass Word2Vec {\n  constructor(modelPath, callback) {\n    this.model = {};\n    this.modelPath = modelPath;\n    this.modelSize = 0;\n    this.modelLoaded = false;\n\n    this.ready = callCallback(this.loadModel(), callback);\n    // TODO: Add support to Promise\n    // this.then = this.ready.then.bind(this.ready);\n  }\n\n  async loadModel() {\n    const json = await fetch(this.modelPath)\n      .then(response => response.json());\n    Object.keys(json.vectors).forEach((word) => {\n      this.model[word] = tf.tensor1d(json.vectors[word]);\n    });\n    this.modelSize = Object.keys(this.model).length;\n    this.modelLoaded = true;\n    return this;\n  }\n\n  dispose(callback) {\n    Object.values(this.model).forEach(x => x.dispose());\n    if (callback) {\n      callback();\n    }\n  }\n\n  async add(inputs, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    return tf.tidy(() => {\n      const sum = Word2Vec.addOrSubtract(this.model, inputs, 'ADD');\n      const result = Word2Vec.nearest(this.model, sum, inputs.length, inputs.length + max);\n      if (callback) {\n        callback(undefined, result);\n      }\n      return result;\n    });\n  }\n\n  async subtract(inputs, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    return tf.tidy(() => {\n      const subtraction = Word2Vec.addOrSubtract(this.model, inputs, 'SUBTRACT');\n      const result = Word2Vec.nearest(this.model, subtraction, inputs.length, inputs.length + max);\n      if (callback) {\n        callback(undefined, result);\n      }\n      return result;\n    });\n  }\n\n  async average(inputs, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    return tf.tidy(() => {\n      const sum = Word2Vec.addOrSubtract(this.model, inputs, 'ADD');\n      const avg = tf.div(sum, tf.tensor(inputs.length));\n      const result = Word2Vec.nearest(this.model, avg, inputs.length, inputs.length + max);\n      if (callback) {\n        callback(undefined, result);\n      }\n      return result;\n    });\n  }\n\n  async nearest(input, maxOrCb, cb) {\n    const { max, callback } = Word2Vec.parser(maxOrCb, cb, 10);\n\n    await this.ready;\n    const vector = this.model[input];\n    let result;\n    if (vector) {\n      result = Word2Vec.nearest(this.model, vector, 1, max + 1);\n    } else {\n      result = null;\n    }\n\n    if (callback) {\n      callback(undefined, result);\n    }\n    return result;\n  }\n\n  async getRandomWord(callback) {\n    await this.ready;\n    const words = Object.keys(this.model);\n    const result = words[Math.floor(Math.random() * words.length)];\n    if (callback) {\n      callback(undefined, result);\n    }\n    return result;\n  }\n\n  static parser(maxOrCallback, cb, defaultMax) {\n    let max = defaultMax;\n    let callback = cb;\n\n    if (typeof maxOrCallback === 'function') {\n      callback = maxOrCallback;\n    } else if (typeof maxOrCallback === 'number') {\n      max = maxOrCallback;\n    }\n    return { max, callback };\n  }\n\n  static addOrSubtract(model, values, operation) {\n    return tf.tidy(() => {\n      const vectors = [];\n      const notFound = [];\n      if (values.length < 2) {\n        throw new Error('Invalid input, must be passed more than 1 value');\n      }\n      values.forEach((value) => {\n        const vector = model[value];\n        if (!vector) {\n          notFound.push(value);\n        } else {\n          vectors.push(vector);\n        }\n      });\n\n      if (notFound.length > 0) {\n        throw new Error(`Invalid input, vector not found for: ${notFound.toString()}`);\n      }\n      let result = vectors[0];\n      if (operation === 'ADD') {\n        for (let i = 1; i < vectors.length; i += 1) {\n          result = tf.add(result, vectors[i]);\n        }\n      } else {\n        for (let i = 1; i < vectors.length; i += 1) {\n          result = tf.sub(result, vectors[i]);\n        }\n      }\n      return result;\n    });\n  }\n\n  static nearest(model, input, start, max) {\n    const nearestVectors = [];\n    Object.keys(model).forEach((word) => {\n      const distance = tf.util.distSquared(input.dataSync(), model[word].dataSync());\n      nearestVectors.push({ word, distance });\n    });\n    nearestVectors.sort((a, b) => a.distance - b.distance);\n    return nearestVectors.slice(start, max);\n  }\n}\n\nconst word2vec = (model, cb) => new Word2Vec(model, cb);\n\nexport default word2vec;\n","var anObject = require('./_an-object');\nvar get = require('./core.get-iterator-method');\nmodule.exports = require('./_core').getIterator = function (it) {\n  var iterFn = get(it);\n  if (typeof iterFn != 'function') throw TypeError(it + ' is not iterable!');\n  return anObject(iterFn.call(it));\n};\n","require('../modules/web.dom.iterable');\nrequire('../modules/es6.string.iterator');\nmodule.exports = require('../modules/core.get-iterator');\n","module.exports = { \"default\": require(\"core-js/library/fn/get-iterator\"), __esModule: true };","var classof = require('./_classof');\nvar ITERATOR = require('./_wks')('iterator');\nvar Iterators = require('./_iterators');\nmodule.exports = require('./_core').isIterable = function (it) {\n  var O = Object(it);\n  return O[ITERATOR] !== undefined\n    || '@@iterator' in O\n    // eslint-disable-next-line no-prototype-builtins\n    || Iterators.hasOwnProperty(classof(O));\n};\n","require('../modules/web.dom.iterable');\nrequire('../modules/es6.string.iterator');\nmodule.exports = require('../modules/core.is-iterable');\n","module.exports = { \"default\": require(\"core-js/library/fn/is-iterable\"), __esModule: true };","'use strict';\nvar $defineProperty = require('./_object-dp');\nvar createDesc = require('./_property-desc');\n\nmodule.exports = function (object, index, value) {\n  if (index in object) $defineProperty.f(object, index, createDesc(0, value));\n  else object[index] = value;\n};\n","'use strict';\nvar ctx = require('./_ctx');\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar toLength = require('./_to-length');\nvar createProperty = require('./_create-property');\nvar getIterFn = require('./core.get-iterator-method');\n\n$export($export.S + $export.F * !require('./_iter-detect')(function (iter) { Array.from(iter); }), 'Array', {\n  // 22.1.2.1 Array.from(arrayLike, mapfn = undefined, thisArg = undefined)\n  from: function from(arrayLike /* , mapfn = undefined, thisArg = undefined */) {\n    var O = toObject(arrayLike);\n    var C = typeof this == 'function' ? this : Array;\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var index = 0;\n    var iterFn = getIterFn(O);\n    var length, result, step, iterator;\n    if (mapping) mapfn = ctx(mapfn, aLen > 2 ? arguments[2] : undefined, 2);\n    // if object isn't iterable or it's array with default iterator - use simple case\n    if (iterFn != undefined && !(C == Array && isArrayIter(iterFn))) {\n      for (iterator = iterFn.call(O), result = new C(); !(step = iterator.next()).done; index++) {\n        createProperty(result, index, mapping ? call(iterator, mapfn, [step.value, index], true) : step.value);\n      }\n    } else {\n      length = toLength(O.length);\n      for (result = new C(length); length > index; index++) {\n        createProperty(result, index, mapping ? mapfn(O[index], index) : O[index]);\n      }\n    }\n    result.length = index;\n    return result;\n  }\n});\n","require('../../modules/es6.string.iterator');\nrequire('../../modules/es6.array.from');\nmodule.exports = require('../../modules/_core').Array.from;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nA class that extract features from Mobilenet\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport * as mobilenet from '@tensorflow-models/mobilenet';\n\nimport Video from './../utils/Video';\n\nimport { imgToTensor } from '../utils/imageUtilities';\nimport { saveBlob } from '../utils/io';\nimport callCallback from '../utils/callcallback';\n\nconst IMAGE_SIZE = 224;\nconst DEFAULTS = {\n  version: 1,\n  alpha: 0.25,\n  topk: 3,\n  learningRate: 0.0001,\n  hiddenUnits: 100,\n  epochs: 20,\n  numClasses: 2,\n  batchSize: 0.4,\n  layer: 'conv_pw_13_relu',\n};\n\nclass Mobilenet {\n  constructor(options, callback) {\n    this.mobilenet = mobilenet;\n    this.topKPredictions = 10;\n    this.hasAnyTrainedClass = false;\n    this.customModel = null;\n    this.epochs = options.epochs || DEFAULTS.epochs;\n    this.version = options.version || DEFAULTS.version;\n    this.hiddenUnits = options.hiddenUnits || DEFAULTS.hiddenUnits;\n    this.numClasses = options.numClasses || DEFAULTS.numClasses;\n    this.learningRate = options.learningRate || DEFAULTS.learningRate;\n    this.batchSize = options.batchSize || DEFAULTS.batchSize;\n    this.layer = options.layer || DEFAULTS.layer;\n    this.alpha = options.alpha || DEFAULTS.alpha;\n    this.isPredicting = false;\n    this.mapStringToIndex = [];\n    this.usageType = null;\n    this.ready = callCallback(this.loadModel(), callback);\n  }\n\n  async loadModel() {\n    this.mobilenet = await this.mobilenet.load(this.version, this.alpha);\n    const layer = this.mobilenet.model.getLayer(this.layer);\n    this.mobilenetFeatures = await tf.model({ inputs: this.mobilenet.model.inputs, outputs: layer.output });\n    if (this.video) {\n      await this.mobilenet.classify(imgToTensor(this.video)); // Warm up\n    }\n    return this;\n  }\n\n  classification(video, callback) {\n    this.usageType = 'classifier';\n    if (video) {\n      callCallback(this.loadVideo(video), callback);\n    }\n    return this;\n  }\n\n  regression(video, callback) {\n    this.usageType = 'regressor';\n    if (video) {\n      callCallback(this.loadVideo(video), callback);\n    }\n    return this;\n  }\n\n  async loadVideo(video) {\n    let inputVideo = null;\n\n    if (video instanceof HTMLVideoElement) {\n      inputVideo = video;\n    } else if (typeof video === 'object' && video.elt instanceof HTMLVideoElement) {\n      inputVideo = video.elt; // p5.js video element\n    }\n\n    if (inputVideo) {\n      const vid = new Video(inputVideo, IMAGE_SIZE);\n      this.video = await vid.loadVideo();\n    }\n\n    return this;\n  }\n\n  async addImage(inputOrLabel, labelOrCallback, cb) {\n    let imgToAdd;\n    let label;\n    let callback = cb;\n\n    if (inputOrLabel instanceof HTMLImageElement || inputOrLabel instanceof HTMLVideoElement) {\n      imgToAdd = inputOrLabel;\n    } else if (typeof inputOrLabel === 'object' && (inputOrLabel.elt instanceof HTMLImageElement || inputOrLabel.elt instanceof HTMLVideoElement)) {\n      imgToAdd = inputOrLabel.elt;\n    } else if (typeof inputOrLabel === 'string' || typeof inputOrLabel === 'number') {\n      imgToAdd = this.video;\n      label = inputOrLabel;\n    }\n\n    if (typeof labelOrCallback === 'string' || typeof labelOrCallback === 'number') {\n      label = labelOrCallback;\n    } else if (typeof labelOrCallback === 'function') {\n      callback = labelOrCallback;\n    }\n\n    if (typeof label === 'string') {\n      if (!this.mapStringToIndex.includes(label)) {\n        label = this.mapStringToIndex.push(label) - 1;\n      } else {\n        label = this.mapStringToIndex.indexOf(label);\n      }\n    }\n\n    return callCallback(this.addImageInternal(imgToAdd, label), callback);\n  }\n\n  async addImageInternal(imgToAdd, label) {\n    await this.ready;\n    tf.tidy(() => {\n      const imageResize = (imgToAdd === this.video) ? null : [IMAGE_SIZE, IMAGE_SIZE];\n      const processedImg = imgToTensor(imgToAdd, imageResize);\n      const prediction = this.mobilenetFeatures.predict(processedImg);\n      let y;\n      if (this.usageType === 'classifier') {\n        y = tf.tidy(() => tf.oneHot(tf.tensor1d([label], 'int32'), this.numClasses));\n      } else if (this.usageType === 'regressor') {\n        y = tf.tensor2d([[label]]);\n      }\n\n      if (this.xs == null) {\n        this.xs = tf.keep(prediction);\n        this.ys = tf.keep(y);\n        this.hasAnyTrainedClass = true;\n      } else {\n        const oldX = this.xs;\n        this.xs = tf.keep(oldX.concat(prediction, 0));\n        const oldY = this.ys;\n        this.ys = tf.keep(oldY.concat(y, 0));\n        oldX.dispose();\n        oldY.dispose();\n        y.dispose();\n      }\n    });\n    return this;\n  }\n\n  async train(onProgress) {\n    if (!this.hasAnyTrainedClass) {\n      throw new Error('Add some examples before training!');\n    }\n\n    this.isPredicting = false;\n\n    if (this.usageType === 'classifier') {\n      this.loss = 'categoricalCrossentropy';\n      this.customModel = tf.sequential({\n        layers: [\n          tf.layers.flatten({ inputShape: [7, 7, 256] }),\n          tf.layers.dense({\n            units: this.hiddenUnits,\n            activation: 'relu',\n            kernelInitializer: 'varianceScaling',\n            useBias: true,\n          }),\n          tf.layers.dense({\n            units: this.numClasses,\n            kernelInitializer: 'varianceScaling',\n            useBias: false,\n            activation: 'softmax',\n          }),\n        ],\n      });\n    } else if (this.usageType === 'regressor') {\n      this.loss = 'meanSquaredError';\n      this.customModel = tf.sequential({\n        layers: [\n          tf.layers.flatten({ inputShape: [7, 7, 256] }),\n          tf.layers.dense({\n            units: this.hiddenUnits,\n            activation: 'relu',\n            kernelInitializer: 'varianceScaling',\n            useBias: true,\n          }),\n          tf.layers.dense({\n            units: 1,\n            useBias: false,\n            kernelInitializer: 'Zeros',\n            activation: 'linear',\n          }),\n        ],\n      });\n    }\n\n    const optimizer = tf.train.adam(this.learningRate);\n    this.customModel.compile({ optimizer, loss: this.loss });\n    const batchSize = Math.floor(this.xs.shape[0] * this.batchSize);\n    if (!(batchSize > 0)) {\n      throw new Error('Batch size is 0 or NaN. Please choose a non-zero fraction.');\n    }\n\n    return this.customModel.fit(this.xs, this.ys, {\n      batchSize,\n      epochs: this.epochs,\n      callbacks: {\n        onBatchEnd: async (batch, logs) => {\n          onProgress(logs.loss.toFixed(5));\n          await tf.nextFrame();\n        },\n        onTrainEnd: () => onProgress(null),\n      },\n    });\n  }\n\n  /* eslint max-len: [\"error\", { \"code\": 180 }] */\n  async classify(inputOrCallback, cb) {\n    let imgToPredict;\n    let callback;\n\n    if (inputOrCallback instanceof HTMLImageElement || inputOrCallback instanceof HTMLVideoElement) {\n      imgToPredict = inputOrCallback;\n    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLImageElement || inputOrCallback.elt instanceof HTMLVideoElement)) {\n      imgToPredict = inputOrCallback.elt; // p5.js image element\n    } else if (typeof inputOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputOrCallback;\n    }\n\n    if (typeof cb === 'function') {\n      callback = cb;\n    }\n\n    return callCallback(this.classifyInternal(imgToPredict), callback);\n  }\n\n  async classifyInternal(imgToPredict) {\n    if (this.usageType !== 'classifier') {\n      throw new Error('Mobilenet Feature Extraction has not been set to be a classifier.');\n    }\n    await tf.nextFrame();\n    this.isPredicting = true;\n    const predictedClasses = tf.tidy(() => {\n      const imageResize = (imgToPredict === this.video) ? null : [IMAGE_SIZE, IMAGE_SIZE];\n      const processedImg = imgToTensor(imgToPredict, imageResize);\n      const activation = this.mobilenetFeatures.predict(processedImg);\n      const predictions = this.customModel.predict(activation);\n      return Array.from(predictions.as1D().dataSync());\n    });\n    const results = await predictedClasses.map((confidence, index) => {\n      const label = (this.mapStringToIndex.length > 0 && this.mapStringToIndex[index]) ? this.mapStringToIndex[index] : index;\n      return {\n        label,\n        confidence,\n      };\n    }).sort((a, b) => b.confidence - a.confidence);\n    return results;\n  }\n\n  /* eslint max-len: [\"error\", { \"code\": 180 }] */\n  async predict(inputOrCallback, cb) {\n    let imgToPredict;\n    let callback;\n    if (inputOrCallback instanceof HTMLImageElement || inputOrCallback instanceof HTMLVideoElement) {\n      imgToPredict = inputOrCallback;\n    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLImageElement || inputOrCallback.elt instanceof HTMLVideoElement)) {\n      imgToPredict = inputOrCallback.elt; // p5.js image element\n    } else if (typeof inputOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputOrCallback;\n    }\n\n    if (typeof cb === 'function') {\n      callback = cb;\n    }\n    return callCallback(this.predictInternal(imgToPredict), callback);\n  }\n\n  async predictInternal(imgToPredict) {\n    if (this.usageType !== 'regressor') {\n      throw new Error('Mobilenet Feature Extraction has not been set to be a regressor.');\n    }\n    await tf.nextFrame();\n    this.isPredicting = true;\n    const predictedClass = tf.tidy(() => {\n      const imageResize = (imgToPredict === this.video) ? null : [IMAGE_SIZE, IMAGE_SIZE];\n      const processedImg = imgToTensor(imgToPredict, imageResize);\n      const activation = this.mobilenetFeatures.predict(processedImg);\n      const predictions = this.customModel.predict(activation);\n      return predictions.as1D();\n    });\n    const prediction = await predictedClass.data();\n    predictedClass.dispose();\n    return { value: prediction[0] };\n  }\n\n  async load(filesOrPath = null, callback) {\n    if (typeof filesOrPath !== 'string') {\n      let model = null;\n      let weights = null;\n      Array.from(filesOrPath).forEach((file) => {\n        if (file.name.includes('.json')) {\n          model = file;\n          const fr = new FileReader();\n          fr.onload = (d) => {\n            this.mapStringToIndex = JSON.parse(d.target.result).ml5Specs.mapStringToIndex;\n          };\n          fr.readAsText(file);\n        } else if (file.name.includes('.bin')) {\n          weights = file;\n        }\n      });\n      this.customModel = await tf.loadModel(tf.io.browserFiles([model, weights]));\n    } else {\n      fetch(filesOrPath)\n        .then(r => r.json())\n        .then((r) => { this.mapStringToIndex = r.ml5Specs.mapStringToIndex; });\n      this.customModel = await tf.loadModel(filesOrPath);\n      if (callback) {\n        callback();\n      }\n    }\n    return this.customModel;\n  }\n\n  async save(callback) {\n    if (!this.customModel) {\n      throw new Error('No model found.');\n    }\n    this.customModel.save(tf.io.withSaveHandler(async (data) => {\n      this.weightsManifest = {\n        modelTopology: data.modelTopology,\n        weightsManifest: [{\n          paths: ['./model.weights.bin'],\n          weights: data.weightSpecs,\n        }],\n        ml5Specs: {\n          mapStringToIndex: this.mapStringToIndex,\n        },\n      };\n      await saveBlob(data.weightData, 'model.weights.bin', 'application/octet-stream');\n      await saveBlob(JSON.stringify(this.weightsManifest), 'model.json', 'text/plain');\n      if (callback) {\n        callback();\n      }\n    }));\n  }\n\n  infer(input, endpoint) {\n    let imgToPredict;\n    let endpointToPredict;\n    if (input instanceof HTMLImageElement || input instanceof HTMLVideoElement || input instanceof HTMLCanvasElement || input instanceof ImageData) {\n      imgToPredict = input;\n    } else if (typeof input === 'object' && (input.elt instanceof HTMLImageElement || input.elt instanceof HTMLVideoElement || input.elt instanceof HTMLCanvasElement)) {\n      imgToPredict = input.elt; // p5.js image/canvas/video element\n    } else {\n      throw new Error('No input image found.');\n    }\n    if (endpoint && typeof endpoint === 'string') {\n      endpointToPredict = endpoint;\n    } else {\n      endpointToPredict = 'conv_preds';\n    }\n    return this.mobilenet.infer(imgToPredict, endpointToPredict);\n  }\n}\n\nexport default Mobilenet;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nGeneral Feature Extractor Manager\n*/\n\nimport Mobilenet from './Mobilenet';\n\n/* eslint max-len: [\"error\", { \"code\": 180 }] */\nconst featureExtractor = (model, optionsOrCallback, cb) => {\n  let modelName;\n  if (typeof model !== 'string') {\n    throw new Error('Please specify a model to use. E.g: \"MobileNet\"');\n  } else {\n    modelName = model.toLowerCase();\n  }\n\n  let options = {};\n  let callback = cb;\n\n  if (typeof optionsOrCallback === 'object') {\n    options = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'function') {\n    callback = optionsOrCallback;\n  }\n\n  if (modelName === 'mobilenet') {\n    return new Mobilenet(options, callback);\n  }\n  throw new Error(`${modelName} is not a valid model.`);\n};\n\nexport default featureExtractor;\n","// @tensorflow/tfjs-models Copyright 2018 Google\nimport{util,tidy,keep,div}from\"@tensorflow/tfjs\";function __awaiter(t,a,e,s){return new(e||(e=Promise))(function(r,n){function i(t){try{o(s.next(t))}catch(t){n(t)}}function l(t){try{o(s.throw(t))}catch(t){n(t)}}function o(t){t.done?r(t.value):new e(function(a){a(t.value)}).then(i,l)}o((s=s.apply(t,a||[])).next())})}function __generator(t,a){var e,s,r,n,i={label:0,sent:function(){if(1&r[0])throw r[1];return r[1]},trys:[],ops:[]};return n={next:l(0),throw:l(1),return:l(2)},\"function\"==typeof Symbol&&(n[Symbol.iterator]=function(){return this}),n;function l(n){return function(l){return function(n){if(e)throw new TypeError(\"Generator is already executing.\");for(;i;)try{if(e=1,s&&(r=2&n[0]?s.return:n[0]?s.throw||((r=s.return)&&r.call(s),0):s.next)&&!(r=r.call(s,n[1])).done)return r;switch(s=0,r&&(n=[2&n[0],r.value]),n[0]){case 0:case 1:r=n;break;case 4:return i.label++,{value:n[1],done:!1};case 5:i.label++,s=n[1],n=[0];continue;case 7:n=i.ops.pop(),i.trys.pop();continue;default:if(!(r=(r=i.trys).length>0&&r[r.length-1])&&(6===n[0]||2===n[0])){i=0;continue}if(3===n[0]&&(!r||n[1]>r[0]&&n[1]<r[3])){i.label=n[1];break}if(6===n[0]&&i.label<r[1]){i.label=r[1],r=n;break}if(r&&i.label<r[2]){i.label=r[2],i.ops.push(n);break}r[2]&&i.ops.pop(),i.trys.pop();continue}n=a.call(t,i)}catch(t){n=[6,t],s=0}finally{e=r=0}if(5&n[0])throw n[1];return{value:n[0]?n[1]:void 0,done:!0}}([n,l])}}}function concatWithNulls(t,a){return null==t&&null==a?null:null==t?a.clone():null===a?t.clone():t.concat(a,0)}function topK(t,a){for(var e=[],s=0;s<t.length;s++)e.push({value:t[s],index:s});e.sort(function(t,a){return a.value-t.value});var r=new Float32Array(a),n=new Int32Array(a);for(s=0;s<a;s++)r[s]=e[s].value,n[s]=e[s].index;return{values:r,indices:n}}var KNNClassifier=function(){function t(){this.classDatasetMatrices={},this.classExampleCount={}}return t.prototype.addExample=function(t,a){var e=this;if(null==this.exampleShape&&(this.exampleShape=t.shape),!util.arraysEqual(this.exampleShape,t.shape))throw new Error(\"Example shape provided, \"+t.shape+\" does not match previously provided example shapes \"+this.exampleShape+\".\");if(!Number.isInteger(a))throw new Error(\"classIndex must be an integer, got \"+a+\".\");this.clearTrainDatasetMatrix(),tidy(function(){var s=e.normalizeVectorToUnitLength(t.flatten()),r=s.shape[0];if(null==e.classDatasetMatrices[a])e.classDatasetMatrices[a]=s.as2D(1,r);else{var n=e.classDatasetMatrices[a].as2D(e.classExampleCount[a],r).concat(s.as2D(1,r),0);e.classDatasetMatrices[a].dispose(),e.classDatasetMatrices[a]=n}keep(e.classDatasetMatrices[a]),null==e.classExampleCount[a]&&(e.classExampleCount[a]=0),e.classExampleCount[a]++})},t.prototype.similarities=function(t){var a=this;return tidy(function(){var e=a.normalizeVectorToUnitLength(t.flatten()),s=e.shape[0];if(null==a.trainDatasetMatrix){var r=null;for(var n in a.classDatasetMatrices)r=concatWithNulls(r,a.classDatasetMatrices[n]);a.trainDatasetMatrix=r}if(null==a.trainDatasetMatrix)return console.warn(\"Cannot predict without providing training examples.\"),null;keep(a.trainDatasetMatrix);var i=a.getNumExamples();return a.trainDatasetMatrix.as2D(i,s).matMul(e.as2D(s,1)).as1D()})},t.prototype.predictClass=function(t,a){return void 0===a&&(a=3),__awaiter(this,void 0,void 0,function(){var e,s,r,n,i=this;return __generator(this,function(l){switch(l.label){case 0:if(a<1)throw new Error(\"Please provide a positive integer k value to predictClass.\");if(0===this.getNumExamples())throw new Error(\"You have not added any exaples to the KNN classifier. Please add examples before calling predictClass.\");return e=tidy(function(){return i.similarities(t).asType(\"float32\")}),s=Math.min(a,this.getNumExamples()),n=topK,[4,e.data()];case 1:return r=n.apply(void 0,[l.sent(),s]).indices,e.dispose(),[2,this.calculateTopClass(r,s)]}})})},t.prototype.clearClass=function(t){if(null==this.classDatasetMatrices[t])throw new Error(\"Cannot clear invalid class ${classIndex}\");delete this.classDatasetMatrices[t],delete this.classExampleCount[t],this.clearTrainDatasetMatrix()},t.prototype.clearAllClasses=function(){for(var t in this.classDatasetMatrices)this.clearClass(+t)},t.prototype.getClassExampleCount=function(){return this.classExampleCount},t.prototype.getClassifierDataset=function(){return this.classDatasetMatrices},t.prototype.getNumClasses=function(){return Object.keys(this.classExampleCount).length},t.prototype.setClassifierDataset=function(t){for(var a in this.clearTrainDatasetMatrix(),this.classDatasetMatrices=t,t)this.classExampleCount[a]=t[a].shape[0]},t.prototype.calculateTopClass=function(t,a){var e=-1,s={};if(null==t)return{classIndex:e,confidences:s};var r=[];for(var n in this.classDatasetMatrices){var i=this.classExampleCount[n];+n>0&&(i+=r[+n-1]),r.push(i)}var l=Array(Object.keys(this.classDatasetMatrices).length).fill(0);for(n=0;n<t.length;n++)for(var o=0;o<r.length;o++)if(t[n]<r[o]){l[o]++;break}var c=0;for(var n in this.classDatasetMatrices){var u=l[n]/a;u>c&&(c=u,e=+n),s[n]=u}return{classIndex:e,confidences:s}},t.prototype.clearTrainDatasetMatrix=function(){null!=this.trainDatasetMatrix&&(this.trainDatasetMatrix.dispose(),this.trainDatasetMatrix=null)},t.prototype.normalizeVectorToUnitLength=function(t){return tidy(function(){var a=t.norm();return div(t,a)})},t.prototype.getNumExamples=function(){var t=0;for(var a in this.classDatasetMatrices)t+=this.classExampleCount[+a];return t},t.prototype.dispose=function(){for(var t in this.clearTrainDatasetMatrix(),this.classDatasetMatrices)this.classDatasetMatrices[t].dispose()},t}();function create(){return new KNNClassifier}export{KNNClassifier,create};\n","// 19.1.2.14 Object.keys(O)\nvar toObject = require('./_to-object');\nvar $keys = require('./_object-keys');\n\nrequire('./_object-sap')('keys', function () {\n  return function keys(it) {\n    return $keys(toObject(it));\n  };\n});\n","require('../../modules/es6.object.keys');\nmodule.exports = require('../../modules/_core').Object.keys;\n","var core = require('../../modules/_core');\nvar $JSON = core.JSON || (core.JSON = { stringify: JSON.stringify });\nmodule.exports = function stringify(it) { // eslint-disable-line no-unused-vars\n  return $JSON.stringify.apply($JSON, arguments);\n};\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\n * A K-nearest neighbors (KNN) classifier that allows fast\n * custom model training on top of any tensor input. Useful for transfer\n * learning with an embedding from another pretrained model.\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport * as knnClassifier from '@tensorflow-models/knn-classifier';\nimport * as io from '../utils/io';\nimport callCallback from '../utils/callcallback';\n\nclass KNN {\n  constructor() {\n    this.knnClassifier = knnClassifier.create();\n    this.mapStringToIndex = [];\n  }\n\n  addExample(input, classIndexOrLabel) {\n    let classIndex;\n    let example;\n\n    if (typeof classIndexOrLabel === 'string') {\n      if (!this.mapStringToIndex.includes(classIndexOrLabel)) {\n        classIndex = this.mapStringToIndex.push(classIndexOrLabel) - 1;\n      } else {\n        classIndex = this.mapStringToIndex.indexOf(classIndexOrLabel);\n      }\n    } else if (classIndexOrLabel === 'number') {\n      classIndex = classIndexOrLabel;\n    }\n\n    if (Array.isArray(input)) {\n      example = tf.tensor(input);\n    } else {\n      example = input;\n    }\n    this.knnClassifier.addExample(example, classIndex);\n  }\n\n  async classify(input, kOrCallback, cb) {\n    let k = 3;\n    let callback = cb;\n    let example;\n\n    if (typeof kOrCallback === 'number') {\n      k = kOrCallback;\n    } else if (typeof kOrCallback === 'function') {\n      callback = kOrCallback;\n    }\n\n    if (Array.isArray(input)) {\n      example = tf.tensor(input);\n    } else {\n      example = input;\n    }\n\n    return callCallback(this.classifyInternal(example, k), callback);\n  }\n\n  async classifyInternal(input, k) {\n    const numClass = this.knnClassifier.getNumClasses();\n    if (numClass <= 0) {\n      throw new Error('There is no example in any class');\n    } else {\n      const res = await this.knnClassifier.predictClass(input, k);\n      if (this.mapStringToIndex.length > 0) {\n        if (res.classIndex || res.classIndex === 0) {\n          const label = this.mapStringToIndex[res.classIndex];\n          if (label) res.label = label;\n        }\n        if (res.confidences) {\n          res.confidencesByLabel = {};\n          const { confidences } = res;\n          const indexes = Object.keys(confidences);\n          indexes.forEach((index) => {\n            const label = this.mapStringToIndex[index];\n            res.confidencesByLabel[label] = confidences[index];\n          });\n        }\n      }\n      return res;\n    }\n  }\n\n  clearLabel(labelIndex) {\n    let classIndex;\n    if (typeof labelIndex === 'string') {\n      if (this.mapStringToIndex.includes(labelIndex)) {\n        classIndex = this.mapStringToIndex.indexOf(labelIndex);\n      }\n    } else {\n      classIndex = labelIndex;\n    }\n    this.knnClassifier.clearClass(classIndex);\n  }\n\n  clearAllLabels() {\n    this.mapStringToIndex = [];\n    this.knnClassifier.clearAllClasses();\n  }\n\n  getCountByLabel() {\n    const countByIndex = this.knnClassifier.getClassExampleCount();\n    if (this.mapStringToIndex.length > 0) {\n      const countByLabel = {};\n      Object.keys(countByIndex).forEach((key) => {\n        if (this.mapStringToIndex[key]) {\n          const label = this.mapStringToIndex[key];\n          countByLabel[label] = countByIndex[key];\n        }\n      });\n      return countByLabel;\n    }\n    return countByIndex;\n  }\n\n  getCount() {\n    return this.knnClassifier.getClassExampleCount();\n  }\n\n  getClassifierDataset() {\n    return this.knnClassifier.getClassifierDataset();\n  }\n\n  setClassifierDataset(dataset) {\n    this.knnClassifier.setClassifierDataset(dataset);\n  }\n\n  getNumLabels() {\n    return this.knnClassifier.getNumClasses();\n  }\n\n  dispose() {\n    this.knnClassifier.dispose();\n  }\n\n  async save(name) {\n    const dataset = this.knnClassifier.getClassifierDataset();\n    if (this.mapStringToIndex.length > 0) {\n      Object.keys(dataset).forEach((key) => {\n        if (this.mapStringToIndex[key]) {\n          dataset[key].label = this.mapStringToIndex[key];\n        }\n      });\n    }\n    const tensors = Object.keys(dataset).map((key) => {\n      const t = dataset[key];\n      if (t) {\n        return t.dataSync();\n      }\n      return null;\n    });\n    let fileName = 'myKNN.json';\n    if (name) {\n      fileName = name.endsWith('.json') ? name : `${name}.json`;\n    }\n    await io.saveBlob(JSON.stringify({ dataset, tensors }), fileName, 'application/octet-stream');\n  }\n\n  async load(pathOrData, callback) {\n    let data;\n    if (typeof pathOrData === 'object') {\n      data = pathOrData;\n    } else {\n      data = await io.loadFile(pathOrData);\n    }\n    if (data) {\n      const { dataset, tensors } = data;\n      this.mapStringToIndex = Object.keys(dataset).map(key => dataset[key].label);\n      const tensorsData = tensors\n        .map((tensor, i) => {\n          if (tensor) {\n            const values = Object.keys(tensor).map(v => tensor[v]);\n            return tf.tensor(values, dataset[i].shape, dataset[i].dtype);\n          }\n          return null;\n        })\n        .reduce((acc, cur, j) => {\n          acc[j] = cur;\n          return acc;\n        }, {});\n      this.knnClassifier.setClassifierDataset(tensorsData);\n      if (callback) {\n        callback();\n      }\n    }\n  }\n}\n\nconst KNNClassifier = () => new KNN();\n\nexport default KNNClassifier;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n/* eslint-disable */\nexport default [\n    \"kit fox\",\n    \"English setter\",\n    \"Siberian husky\",\n    \"Australian terrier\",\n    \"English springer\",\n    \"grey whale\",\n    \"lesser panda\",\n    \"Egyptian cat\",\n    \"ibex\",\n    \"Persian cat\",\n    \"cougar\",\n    \"gazelle\",\n    \"porcupine\",\n    \"sea lion\",\n    \"malamute\",\n    \"badger\",\n    \"Great Dane\",\n    \"Walker hound\",\n    \"Welsh springer spaniel\",\n    \"whippet\",\n    \"Scottish deerhound\",\n    \"killer whale\",\n    \"mink\",\n    \"African elephant\",\n    \"Weimaraner\",\n    \"soft-coated wheaten terrier\",\n    \"Dandie Dinmont\",\n    \"red wolf\",\n    \"Old English sheepdog\",\n    \"jaguar\",\n    \"otterhound\",\n    \"bloodhound\",\n    \"Airedale\",\n    \"hyena\",\n    \"meerkat\",\n    \"giant schnauzer\",\n    \"titi\",\n    \"three-toed sloth\",\n    \"sorrel\",\n    \"black-footed ferret\",\n    \"dalmatian\",\n    \"black-and-tan coonhound\",\n    \"papillon\",\n    \"skunk\",\n    \"Staffordshire bullterrier\",\n    \"Mexican hairless\",\n    \"Bouvier des Flandres\",\n    \"weasel\",\n    \"miniature poodle\",\n    \"Cardigan\",\n    \"malinois\",\n    \"bighorn\",\n    \"fox squirrel\",\n    \"colobus\",\n    \"tiger cat\",\n    \"Lhasa\",\n    \"impala\",\n    \"coyote\",\n    \"Yorkshire terrier\",\n    \"Newfoundland\",\n    \"brown bear\",\n    \"red fox\",\n    \"Norwegian elkhound\",\n    \"Rottweiler\",\n    \"hartebeest\",\n    \"Saluki\",\n    \"grey fox\",\n    \"schipperke\",\n    \"Pekinese\",\n    \"Brabancon griffon\",\n    \"West Highland white terrier\",\n    \"Sealyham terrier\",\n    \"guenon\",\n    \"mongoose\",\n    \"indri\",\n    \"tiger\",\n    \"Irish wolfhound\",\n    \"wild boar\",\n    \"EntleBucher\",\n    \"zebra\",\n    \"ram\",\n    \"French bulldog\",\n    \"orangutan\",\n    \"basenji\",\n    \"leopard\",\n    \"Bernese mountain dog\",\n    \"Maltese dog\",\n    \"Norfolk terrier\",\n    \"toy terrier\",\n    \"vizsla\",\n    \"cairn\",\n    \"squirrel monkey\",\n    \"groenendael\",\n    \"clumber\",\n    \"Siamese cat\",\n    \"chimpanzee\",\n    \"komondor\",\n    \"Afghan hound\",\n    \"Japanese spaniel\",\n    \"proboscis monkey\",\n    \"guinea pig\",\n    \"white wolf\",\n    \"ice bear\",\n    \"gorilla\",\n    \"borzoi\",\n    \"toy poodle\",\n    \"Kerry blue terrier\",\n    \"ox\",\n    \"Scotch terrier\",\n    \"Tibetan mastiff\",\n    \"spider monkey\",\n    \"Doberman\",\n    \"Boston bull\",\n    \"Greater Swiss Mountain dog\",\n    \"Appenzeller\",\n    \"Shih-Tzu\",\n    \"Irish water spaniel\",\n    \"Pomeranian\",\n    \"Bedlington terrier\",\n    \"warthog\",\n    \"Arabian camel\",\n    \"siamang\",\n    \"miniature schnauzer\",\n    \"collie\",\n    \"golden retriever\",\n    \"Irish terrier\",\n    \"affenpinscher\",\n    \"Border collie\",\n    \"hare\",\n    \"boxer\",\n    \"silky terrier\",\n    \"beagle\",\n    \"Leonberg\",\n    \"German short-haired pointer\",\n    \"patas\",\n    \"dhole\",\n    \"baboon\",\n    \"macaque\",\n    \"Chesapeake Bay retriever\",\n    \"bull mastiff\",\n    \"kuvasz\",\n    \"capuchin\",\n    \"pug\",\n    \"curly-coated retriever\",\n    \"Norwich terrier\",\n    \"flat-coated retriever\",\n    \"hog\",\n    \"keeshond\",\n    \"Eskimo dog\",\n    \"Brittany spaniel\",\n    \"standard poodle\",\n    \"Lakeland terrier\",\n    \"snow leopard\",\n    \"Gordon setter\",\n    \"dingo\",\n    \"standard schnauzer\",\n    \"hamster\",\n    \"Tibetan terrier\",\n    \"Arctic fox\",\n    \"wire-haired fox terrier\",\n    \"basset\",\n    \"water buffalo\",\n    \"American black bear\",\n    \"Angora\",\n    \"bison\",\n    \"howler monkey\",\n    \"hippopotamus\",\n    \"chow\",\n    \"giant panda\",\n    \"American Staffordshire terrier\",\n    \"Shetland sheepdog\",\n    \"Great Pyrenees\",\n    \"Chihuahua\",\n    \"tabby\",\n    \"marmoset\",\n    \"Labrador retriever\",\n    \"Saint Bernard\",\n    \"armadillo\",\n    \"Samoyed\",\n    \"bluetick\",\n    \"redbone\",\n    \"polecat\",\n    \"marmot\",\n    \"kelpie\",\n    \"gibbon\",\n    \"llama\",\n    \"miniature pinscher\",\n    \"wood rabbit\",\n    \"Italian greyhound\",\n    \"lion\",\n    \"cocker spaniel\",\n    \"Irish setter\",\n    \"dugong\",\n    \"Indian elephant\",\n    \"beaver\",\n    \"Sussex spaniel\",\n    \"Pembroke\",\n    \"Blenheim spaniel\",\n    \"Madagascar cat\",\n    \"Rhodesian ridgeback\",\n    \"lynx\",\n    \"African hunting dog\",\n    \"langur\",\n    \"Ibizan hound\",\n    \"timber wolf\",\n    \"cheetah\",\n    \"English foxhound\",\n    \"briard\",\n    \"sloth bear\",\n    \"Border terrier\",\n    \"German shepherd\",\n    \"otter\",\n    \"koala\",\n    \"tusker\",\n    \"echidna\",\n    \"wallaby\",\n    \"platypus\",\n    \"wombat\",\n    \"revolver\",\n    \"umbrella\",\n    \"schooner\",\n    \"soccer ball\",\n    \"accordion\",\n    \"ant\",\n    \"starfish\",\n    \"chambered nautilus\",\n    \"grand piano\",\n    \"laptop\",\n    \"strawberry\",\n    \"airliner\",\n    \"warplane\",\n    \"airship\",\n    \"balloon\",\n    \"space shuttle\",\n    \"fireboat\",\n    \"gondola\",\n    \"speedboat\",\n    \"lifeboat\",\n    \"canoe\",\n    \"yawl\",\n    \"catamaran\",\n    \"trimaran\",\n    \"container ship\",\n    \"liner\",\n    \"pirate\",\n    \"aircraft carrier\",\n    \"submarine\",\n    \"wreck\",\n    \"half track\",\n    \"tank\",\n    \"missile\",\n    \"bobsled\",\n    \"dogsled\",\n    \"bicycle-built-for-two\",\n    \"mountain bike\",\n    \"freight car\",\n    \"passenger car\",\n    \"barrow\",\n    \"shopping cart\",\n    \"motor scooter\",\n    \"forklift\",\n    \"electric locomotive\",\n    \"steam locomotive\",\n    \"amphibian\",\n    \"ambulance\",\n    \"beach wagon\",\n    \"cab\",\n    \"convertible\",\n    \"jeep\",\n    \"limousine\",\n    \"minivan\",\n    \"Model T\",\n    \"racer\",\n    \"sports car\",\n    \"go-kart\",\n    \"golfcart\",\n    \"moped\",\n    \"snowplow\",\n    \"fire engine\",\n    \"garbage truck\",\n    \"pickup\",\n    \"tow truck\",\n    \"trailer truck\",\n    \"moving van\",\n    \"police van\",\n    \"recreational vehicle\",\n    \"streetcar\",\n    \"snowmobile\",\n    \"tractor\",\n    \"mobile home\",\n    \"tricycle\",\n    \"unicycle\",\n    \"horse cart\",\n    \"jinrikisha\",\n    \"oxcart\",\n    \"bassinet\",\n    \"cradle\",\n    \"crib\",\n    \"four-poster\",\n    \"bookcase\",\n    \"china cabinet\",\n    \"medicine chest\",\n    \"chiffonier\",\n    \"table lamp\",\n    \"file\",\n    \"park bench\",\n    \"barber chair\",\n    \"throne\",\n    \"folding chair\",\n    \"rocking chair\",\n    \"studio couch\",\n    \"toilet seat\",\n    \"desk\",\n    \"pool table\",\n    \"dining table\",\n    \"entertainment center\",\n    \"wardrobe\",\n    \"Granny Smith\",\n    \"orange\",\n    \"lemon\",\n    \"fig\",\n    \"pineapple\",\n    \"banana\",\n    \"jackfruit\",\n    \"custard apple\",\n    \"pomegranate\",\n    \"acorn\",\n    \"hip\",\n    \"ear\",\n    \"rapeseed\",\n    \"corn\",\n    \"buckeye\",\n    \"organ\",\n    \"upright\",\n    \"chime\",\n    \"drum\",\n    \"gong\",\n    \"maraca\",\n    \"marimba\",\n    \"steel drum\",\n    \"banjo\",\n    \"cello\",\n    \"violin\",\n    \"harp\",\n    \"acoustic guitar\",\n    \"electric guitar\",\n    \"cornet\",\n    \"French horn\",\n    \"trombone\",\n    \"harmonica\",\n    \"ocarina\",\n    \"panpipe\",\n    \"bassoon\",\n    \"oboe\",\n    \"sax\",\n    \"flute\",\n    \"daisy\",\n    \"yellow lady's slipper\",\n    \"cliff\",\n    \"valley\",\n    \"alp\",\n    \"volcano\",\n    \"promontory\",\n    \"sandbar\",\n    \"coral reef\",\n    \"lakeside\",\n    \"seashore\",\n    \"geyser\",\n    \"hatchet\",\n    \"cleaver\",\n    \"letter opener\",\n    \"plane\",\n    \"power drill\",\n    \"lawn mower\",\n    \"hammer\",\n    \"corkscrew\",\n    \"can opener\",\n    \"plunger\",\n    \"screwdriver\",\n    \"shovel\",\n    \"plow\",\n    \"chain saw\",\n    \"cock\",\n    \"hen\",\n    \"ostrich\",\n    \"brambling\",\n    \"goldfinch\",\n    \"house finch\",\n    \"junco\",\n    \"indigo bunting\",\n    \"robin\",\n    \"bulbul\",\n    \"jay\",\n    \"magpie\",\n    \"chickadee\",\n    \"water ouzel\",\n    \"kite\",\n    \"bald eagle\",\n    \"vulture\",\n    \"great grey owl\",\n    \"black grouse\",\n    \"ptarmigan\",\n    \"ruffed grouse\",\n    \"prairie chicken\",\n    \"peacock\",\n    \"quail\",\n    \"partridge\",\n    \"African grey\",\n    \"macaw\",\n    \"sulphur-crested cockatoo\",\n    \"lorikeet\",\n    \"coucal\",\n    \"bee eater\",\n    \"hornbill\",\n    \"hummingbird\",\n    \"jacamar\",\n    \"toucan\",\n    \"drake\",\n    \"red-breasted merganser\",\n    \"goose\",\n    \"black swan\",\n    \"white stork\",\n    \"black stork\",\n    \"spoonbill\",\n    \"flamingo\",\n    \"American egret\",\n    \"little blue heron\",\n    \"bittern\",\n    \"crane\",\n    \"limpkin\",\n    \"American coot\",\n    \"bustard\",\n    \"ruddy turnstone\",\n    \"red-backed sandpiper\",\n    \"redshank\",\n    \"dowitcher\",\n    \"oystercatcher\",\n    \"European gallinule\",\n    \"pelican\",\n    \"king penguin\",\n    \"albatross\",\n    \"great white shark\",\n    \"tiger shark\",\n    \"hammerhead\",\n    \"electric ray\",\n    \"stingray\",\n    \"barracouta\",\n    \"coho\",\n    \"tench\",\n    \"goldfish\",\n    \"eel\",\n    \"rock beauty\",\n    \"anemone fish\",\n    \"lionfish\",\n    \"puffer\",\n    \"sturgeon\",\n    \"gar\",\n    \"loggerhead\",\n    \"leatherback turtle\",\n    \"mud turtle\",\n    \"terrapin\",\n    \"box turtle\",\n    \"banded gecko\",\n    \"common iguana\",\n    \"American chameleon\",\n    \"whiptail\",\n    \"agama\",\n    \"frilled lizard\",\n    \"alligator lizard\",\n    \"Gila monster\",\n    \"green lizard\",\n    \"African chameleon\",\n    \"Komodo dragon\",\n    \"triceratops\",\n    \"African crocodile\",\n    \"American alligator\",\n    \"thunder snake\",\n    \"ringneck snake\",\n    \"hognose snake\",\n    \"green snake\",\n    \"king snake\",\n    \"garter snake\",\n    \"water snake\",\n    \"vine snake\",\n    \"night snake\",\n    \"boa constrictor\",\n    \"rock python\",\n    \"Indian cobra\",\n    \"green mamba\",\n    \"sea snake\",\n    \"horned viper\",\n    \"diamondback\",\n    \"sidewinder\",\n    \"European fire salamander\",\n    \"common newt\",\n    \"eft\",\n    \"spotted salamander\",\n    \"axolotl\",\n    \"bullfrog\",\n    \"tree frog\",\n    \"tailed frog\",\n    \"whistle\",\n    \"wing\",\n    \"paintbrush\",\n    \"hand blower\",\n    \"oxygen mask\",\n    \"snorkel\",\n    \"loudspeaker\",\n    \"microphone\",\n    \"screen\",\n    \"mouse\",\n    \"electric fan\",\n    \"oil filter\",\n    \"strainer\",\n    \"space heater\",\n    \"stove\",\n    \"guillotine\",\n    \"barometer\",\n    \"rule\",\n    \"odometer\",\n    \"scale\",\n    \"analog clock\",\n    \"digital clock\",\n    \"wall clock\",\n    \"hourglass\",\n    \"sundial\",\n    \"parking meter\",\n    \"stopwatch\",\n    \"digital watch\",\n    \"stethoscope\",\n    \"syringe\",\n    \"magnetic compass\",\n    \"binoculars\",\n    \"projector\",\n    \"sunglasses\",\n    \"loupe\",\n    \"radio telescope\",\n    \"bow\",\n    \"cannon\",\n    \"assault rifle\",\n    \"rifle\",\n    \"projectile\",\n    \"computer keyboard\",\n    \"typewriter keyboard\",\n    \"crane\",\n    \"lighter\",\n    \"abacus\",\n    \"cash machine\",\n    \"slide rule\",\n    \"desktop computer\",\n    \"hand-held computer\",\n    \"notebook\",\n    \"web site\",\n    \"harvester\",\n    \"thresher\",\n    \"printer\",\n    \"slot\",\n    \"vending machine\",\n    \"sewing machine\",\n    \"joystick\",\n    \"switch\",\n    \"hook\",\n    \"car wheel\",\n    \"paddlewheel\",\n    \"pinwheel\",\n    \"potter's wheel\",\n    \"gas pump\",\n    \"carousel\",\n    \"swing\",\n    \"reel\",\n    \"radiator\",\n    \"puck\",\n    \"hard disc\",\n    \"sunglass\",\n    \"pick\",\n    \"car mirror\",\n    \"solar dish\",\n    \"remote control\",\n    \"disk brake\",\n    \"buckle\",\n    \"hair slide\",\n    \"knot\",\n    \"combination lock\",\n    \"padlock\",\n    \"nail\",\n    \"safety pin\",\n    \"screw\",\n    \"muzzle\",\n    \"seat belt\",\n    \"ski\",\n    \"candle\",\n    \"jack-o'-lantern\",\n    \"spotlight\",\n    \"torch\",\n    \"neck brace\",\n    \"pier\",\n    \"tripod\",\n    \"maypole\",\n    \"mousetrap\",\n    \"spider web\",\n    \"trilobite\",\n    \"harvestman\",\n    \"scorpion\",\n    \"black and gold garden spider\",\n    \"barn spider\",\n    \"garden spider\",\n    \"black widow\",\n    \"tarantula\",\n    \"wolf spider\",\n    \"tick\",\n    \"centipede\",\n    \"isopod\",\n    \"Dungeness crab\",\n    \"rock crab\",\n    \"fiddler crab\",\n    \"king crab\",\n    \"American lobster\",\n    \"spiny lobster\",\n    \"crayfish\",\n    \"hermit crab\",\n    \"tiger beetle\",\n    \"ladybug\",\n    \"ground beetle\",\n    \"long-horned beetle\",\n    \"leaf beetle\",\n    \"dung beetle\",\n    \"rhinoceros beetle\",\n    \"weevil\",\n    \"fly\",\n    \"bee\",\n    \"grasshopper\",\n    \"cricket\",\n    \"walking stick\",\n    \"cockroach\",\n    \"mantis\",\n    \"cicada\",\n    \"leafhopper\",\n    \"lacewing\",\n    \"dragonfly\",\n    \"damselfly\",\n    \"admiral\",\n    \"ringlet\",\n    \"monarch\",\n    \"cabbage butterfly\",\n    \"sulphur butterfly\",\n    \"lycaenid\",\n    \"jellyfish\",\n    \"sea anemone\",\n    \"brain coral\",\n    \"flatworm\",\n    \"nematode\",\n    \"conch\",\n    \"snail\",\n    \"slug\",\n    \"sea slug\",\n    \"chiton\",\n    \"sea urchin\",\n    \"sea cucumber\",\n    \"iron\",\n    \"espresso maker\",\n    \"microwave\",\n    \"Dutch oven\",\n    \"rotisserie\",\n    \"toaster\",\n    \"waffle iron\",\n    \"vacuum\",\n    \"dishwasher\",\n    \"refrigerator\",\n    \"washer\",\n    \"Crock Pot\",\n    \"frying pan\",\n    \"wok\",\n    \"caldron\",\n    \"coffeepot\",\n    \"teapot\",\n    \"spatula\",\n    \"altar\",\n    \"triumphal arch\",\n    \"patio\",\n    \"steel arch bridge\",\n    \"suspension bridge\",\n    \"viaduct\",\n    \"barn\",\n    \"greenhouse\",\n    \"palace\",\n    \"monastery\",\n    \"library\",\n    \"apiary\",\n    \"boathouse\",\n    \"church\",\n    \"mosque\",\n    \"stupa\",\n    \"planetarium\",\n    \"restaurant\",\n    \"cinema\",\n    \"home theater\",\n    \"lumbermill\",\n    \"coil\",\n    \"obelisk\",\n    \"totem pole\",\n    \"castle\",\n    \"prison\",\n    \"grocery store\",\n    \"bakery\",\n    \"barbershop\",\n    \"bookshop\",\n    \"butcher shop\",\n    \"confectionery\",\n    \"shoe shop\",\n    \"tobacco shop\",\n    \"toyshop\",\n    \"fountain\",\n    \"cliff dwelling\",\n    \"yurt\",\n    \"dock\",\n    \"brass\",\n    \"megalith\",\n    \"bannister\",\n    \"breakwater\",\n    \"dam\",\n    \"chainlink fence\",\n    \"picket fence\",\n    \"worm fence\",\n    \"stone wall\",\n    \"grille\",\n    \"sliding door\",\n    \"turnstile\",\n    \"mountain tent\",\n    \"scoreboard\",\n    \"honeycomb\",\n    \"plate rack\",\n    \"pedestal\",\n    \"beacon\",\n    \"mashed potato\",\n    \"bell pepper\",\n    \"head cabbage\",\n    \"broccoli\",\n    \"cauliflower\",\n    \"zucchini\",\n    \"spaghetti squash\",\n    \"acorn squash\",\n    \"butternut squash\",\n    \"cucumber\",\n    \"artichoke\",\n    \"cardoon\",\n    \"mushroom\",\n    \"shower curtain\",\n    \"jean\",\n    \"carton\",\n    \"handkerchief\",\n    \"sandal\",\n    \"ashcan\",\n    \"safe\",\n    \"plate\",\n    \"necklace\",\n    \"croquet ball\",\n    \"fur coat\",\n    \"thimble\",\n    \"pajama\",\n    \"running shoe\",\n    \"cocktail shaker\",\n    \"chest\",\n    \"manhole cover\",\n    \"modem\",\n    \"tub\",\n    \"tray\",\n    \"balance beam\",\n    \"bagel\",\n    \"prayer rug\",\n    \"kimono\",\n    \"hot pot\",\n    \"whiskey jug\",\n    \"knee pad\",\n    \"book jacket\",\n    \"spindle\",\n    \"ski mask\",\n    \"beer bottle\",\n    \"crash helmet\",\n    \"bottlecap\",\n    \"tile roof\",\n    \"mask\",\n    \"maillot\",\n    \"Petri dish\",\n    \"football helmet\",\n    \"bathing cap\",\n    \"teddy\",\n    \"holster\",\n    \"pop bottle\",\n    \"photocopier\",\n    \"vestment\",\n    \"crossword puzzle\",\n    \"golf ball\",\n    \"trifle\",\n    \"suit\",\n    \"water tower\",\n    \"feather boa\",\n    \"cloak\",\n    \"red wine\",\n    \"drumstick\",\n    \"shield\",\n    \"Christmas stocking\",\n    \"hoopskirt\",\n    \"menu\",\n    \"stage\",\n    \"bonnet\",\n    \"meat loaf\",\n    \"baseball\",\n    \"face powder\",\n    \"scabbard\",\n    \"sunscreen\",\n    \"beer glass\",\n    \"hen-of-the-woods\",\n    \"guacamole\",\n    \"lampshade\",\n    \"wool\",\n    \"hay\",\n    \"bow tie\",\n    \"mailbag\",\n    \"water jug\",\n    \"bucket\",\n    \"dishrag\",\n    \"soup bowl\",\n    \"eggnog\",\n    \"mortar\",\n    \"trench coat\",\n    \"paddle\",\n    \"chain\",\n    \"swab\",\n    \"mixing bowl\",\n    \"potpie\",\n    \"wine bottle\",\n    \"shoji\",\n    \"bulletproof vest\",\n    \"drilling platform\",\n    \"binder\",\n    \"cardigan\",\n    \"sweatshirt\",\n    \"pot\",\n    \"birdhouse\",\n    \"hamper\",\n    \"ping-pong ball\",\n    \"pencil box\",\n    \"pay-phone\",\n    \"consomme\",\n    \"apron\",\n    \"punching bag\",\n    \"backpack\",\n    \"groom\",\n    \"bearskin\",\n    \"pencil sharpener\",\n    \"broom\",\n    \"mosquito net\",\n    \"abaya\",\n    \"mortarboard\",\n    \"poncho\",\n    \"crutch\",\n    \"Polaroid camera\",\n    \"space bar\",\n    \"cup\",\n    \"racket\",\n    \"traffic light\",\n    \"quill\",\n    \"radio\",\n    \"dough\",\n    \"cuirass\",\n    \"military uniform\",\n    \"lipstick\",\n    \"shower cap\",\n    \"monitor\",\n    \"oscilloscope\",\n    \"mitten\",\n    \"brassiere\",\n    \"French loaf\",\n    \"vase\",\n    \"milk can\",\n    \"rugby ball\",\n    \"paper towel\",\n    \"earthstar\",\n    \"envelope\",\n    \"miniskirt\",\n    \"cowboy hat\",\n    \"trolleybus\",\n    \"perfume\",\n    \"bathtub\",\n    \"hotdog\",\n    \"coral fungus\",\n    \"bullet train\",\n    \"pillow\",\n    \"toilet tissue\",\n    \"cassette\",\n    \"carpenter's kit\",\n    \"ladle\",\n    \"stinkhorn\",\n    \"lotion\",\n    \"hair spray\",\n    \"academic gown\",\n    \"dome\",\n    \"crate\",\n    \"wig\",\n    \"burrito\",\n    \"pill bottle\",\n    \"chain mail\",\n    \"theater curtain\",\n    \"window shade\",\n    \"barrel\",\n    \"washbasin\",\n    \"ballpoint\",\n    \"basketball\",\n    \"bath towel\",\n    \"cowboy boot\",\n    \"gown\",\n    \"window screen\",\n    \"agaric\",\n    \"cellular telephone\",\n    \"nipple\",\n    \"barbell\",\n    \"mailbox\",\n    \"lab coat\",\n    \"fire screen\",\n    \"minibus\",\n    \"packet\",\n    \"maze\",\n    \"pole\",\n    \"horizontal bar\",\n    \"sombrero\",\n    \"pickelhaube\",\n    \"rain barrel\",\n    \"wallet\",\n    \"cassette player\",\n    \"comic book\",\n    \"piggy bank\",\n    \"street sign\",\n    \"bell cote\",\n    \"fountain pen\",\n    \"Windsor tie\",\n    \"volleyball\",\n    \"overskirt\",\n    \"sarong\",\n    \"purse\",\n    \"bolo tie\",\n    \"bib\",\n    \"parachute\",\n    \"sleeping bag\",\n    \"television\",\n    \"swimming trunks\",\n    \"measuring cup\",\n    \"espresso\",\n    \"pizza\",\n    \"breastplate\",\n    \"shopping basket\",\n    \"wooden spoon\",\n    \"saltshaker\",\n    \"chocolate sauce\",\n    \"ballplayer\",\n    \"goblet\",\n    \"gyromitra\",\n    \"stretcher\",\n    \"water bottle\",\n    \"dial telephone\",\n    \"soap dispenser\",\n    \"jersey\",\n    \"school bus\",\n    \"jigsaw puzzle\",\n    \"plastic bag\",\n    \"reflex camera\",\n    \"diaper\",\n    \"Band Aid\",\n    \"ice lolly\",\n    \"velvet\",\n    \"tennis ball\",\n    \"gasmask\",\n    \"doormat\",\n    \"Loafer\",\n    \"ice cream\",\n    \"pretzel\",\n    \"quilt\",\n    \"maillot\",\n    \"tape player\",\n    \"clog\",\n    \"iPod\",\n    \"bolete\",\n    \"scuba diver\",\n    \"pitcher\",\n    \"matchstick\",\n    \"bikini\",\n    \"sock\",\n    \"CD player\",\n    \"lens cap\",\n    \"thatch\",\n    \"vault\",\n    \"beaker\",\n    \"bubble\",\n    \"cheeseburger\",\n    \"parallel bars\",\n    \"flagpole\",\n    \"coffee mug\",\n    \"rubber eraser\",\n    \"stole\",\n    \"carbonara\",\n    \"dumbbell\",\n    \n]","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\nimport IMAGENET_CLASSES_DARKNET from '../utils/IMAGENET_CLASSES_DARKNET';\n\nconst DEFAULTS = {\n  DARKNET_URL: 'https://rawgit.com/ml5js/ml5-data-and-models/master/models/darknetclassifier/darknetreference/model.json',\n  DARKNET_TINY_URL: 'https://rawgit.com/ml5js/ml5-data-and-models/master/models/darknetclassifier/darknettiny/model.json',\n  IMAGE_SIZE_DARKNET: 256,\n  IMAGE_SIZE_DARKNET_TINY: 224,\n};\n\nasync function getTopKClasses(logits, topK) {\n  const values = await logits.data();\n  const valuesAndIndices = [];\n  for (let i = 0; i < values.length; i += 1) {\n    valuesAndIndices.push({\n      value: values[i],\n      index: i,\n    });\n  }\n  valuesAndIndices.sort((a, b) => b.value - a.value);\n\n  const topkValues = new Float32Array(topK);\n  const topkIndices = new Int32Array(topK);\n  for (let i = 0; i < topK; i += 1) {\n    topkValues[i] = valuesAndIndices[i].value;\n    topkIndices[i] = valuesAndIndices[i].index;\n  }\n\n  const topClassesAndProbs = [];\n  for (let i = 0; i < topkIndices.length; i += 1) {\n    topClassesAndProbs.push({\n      className: IMAGENET_CLASSES_DARKNET[topkIndices[i]],\n      probability: topkValues[i],\n    });\n  }\n  return topClassesAndProbs;\n}\n\nfunction preProcess(img, size) {\n  let image;\n  if (!(img instanceof tf.Tensor)) {\n    if (img instanceof HTMLImageElement || img instanceof HTMLVideoElement) {\n      image = tf.fromPixels(img);\n    } else if (typeof img === 'object' && (img.elt instanceof HTMLImageElement || img.elt instanceof HTMLVideoElement)) {\n      image = tf.fromPixels(img.elt); // Handle p5.js image and video.\n    }\n  } else {\n    image = img;\n  }\n  const normalized = image.toFloat().div(tf.scalar(255));\n  let resized = normalized;\n  if (normalized.shape[0] !== size || normalized.shape[1] !== size) {\n    const alignCorners = true;\n    resized = tf.image.resizeBilinear(normalized, [size, size], alignCorners);\n  }\n  const batched = resized.reshape([1, size, size, 3]);\n  return batched;\n}\n\nexport class Darknet {\n  constructor(version) {\n    this.version = version;\n    switch (this.version) {\n      case 'reference':\n        this.imgSize = DEFAULTS.IMAGE_SIZE_DARKNET;\n        break;\n      case 'tiny':\n        this.imgSize = DEFAULTS.IMAGE_SIZE_DARKNET_TINY;\n        break;\n      default:\n        break;\n    }\n  }\n\n  async load() {\n    switch (this.version) {\n      case 'reference':\n        this.model = await tf.loadModel(DEFAULTS.DARKNET_URL);\n        break;\n      case 'tiny':\n        this.model = await tf.loadModel(DEFAULTS.DARKNET_TINY_URL);\n        break;\n      default:\n        break;\n    }\n\n    // Warmup the model.\n    const result = tf.tidy(() => this.model.predict(tf.zeros([1, this.imgSize, this.imgSize, 3])));\n    await result.data();\n    result.dispose();\n  }\n\n  async classify(img, topk = 3) {\n    const logits = tf.tidy(() => {\n      const imgData = preProcess(img, this.imgSize);\n      const predictions = this.model.predict(imgData);\n      return tf.softmax(predictions);\n    });\n    const classes = await getTopKClasses(logits, topk);\n    logits.dispose();\n    return classes;\n  }\n}\n\nexport async function load(version) {\n  if (version !== 'reference' && version !== 'tiny') {\n    throw new Error('Please select a version: darknet-reference or darknet-tiny');\n  }\n\n  const darknet = new Darknet(version);\n  await darknet.load();\n  return darknet;\n}\n","require('./_wks-define')('observable');\n","require('./_wks-define')('asyncIterator');\n","// fallback for IE11 buggy Object.getOwnPropertyNames with iframe and window\nvar toIObject = require('./_to-iobject');\nvar gOPN = require('./_object-gopn').f;\nvar toString = {}.toString;\n\nvar windowNames = typeof window == 'object' && window && Object.getOwnPropertyNames\n  ? Object.getOwnPropertyNames(window) : [];\n\nvar getWindowNames = function (it) {\n  try {\n    return gOPN(it);\n  } catch (e) {\n    return windowNames.slice();\n  }\n};\n\nmodule.exports.f = function getOwnPropertyNames(it) {\n  return windowNames && toString.call(it) == '[object Window]' ? getWindowNames(it) : gOPN(toIObject(it));\n};\n","// all enumerable object keys, includes symbols\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nmodule.exports = function (it) {\n  var result = getKeys(it);\n  var getSymbols = gOPS.f;\n  if (getSymbols) {\n    var symbols = getSymbols(it);\n    var isEnum = pIE.f;\n    var i = 0;\n    var key;\n    while (symbols.length > i) if (isEnum.call(it, key = symbols[i++])) result.push(key);\n  } return result;\n};\n","'use strict';\n// ECMAScript 6 symbols shim\nvar global = require('./_global');\nvar has = require('./_has');\nvar DESCRIPTORS = require('./_descriptors');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar META = require('./_meta').KEY;\nvar $fails = require('./_fails');\nvar shared = require('./_shared');\nvar setToStringTag = require('./_set-to-string-tag');\nvar uid = require('./_uid');\nvar wks = require('./_wks');\nvar wksExt = require('./_wks-ext');\nvar wksDefine = require('./_wks-define');\nvar enumKeys = require('./_enum-keys');\nvar isArray = require('./_is-array');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar createDesc = require('./_property-desc');\nvar _create = require('./_object-create');\nvar gOPNExt = require('./_object-gopn-ext');\nvar $GOPD = require('./_object-gopd');\nvar $DP = require('./_object-dp');\nvar $keys = require('./_object-keys');\nvar gOPD = $GOPD.f;\nvar dP = $DP.f;\nvar gOPN = gOPNExt.f;\nvar $Symbol = global.Symbol;\nvar $JSON = global.JSON;\nvar _stringify = $JSON && $JSON.stringify;\nvar PROTOTYPE = 'prototype';\nvar HIDDEN = wks('_hidden');\nvar TO_PRIMITIVE = wks('toPrimitive');\nvar isEnum = {}.propertyIsEnumerable;\nvar SymbolRegistry = shared('symbol-registry');\nvar AllSymbols = shared('symbols');\nvar OPSymbols = shared('op-symbols');\nvar ObjectProto = Object[PROTOTYPE];\nvar USE_NATIVE = typeof $Symbol == 'function';\nvar QObject = global.QObject;\n// Don't use setters in Qt Script, https://github.com/zloirock/core-js/issues/173\nvar setter = !QObject || !QObject[PROTOTYPE] || !QObject[PROTOTYPE].findChild;\n\n// fallback for old Android, https://code.google.com/p/v8/issues/detail?id=687\nvar setSymbolDesc = DESCRIPTORS && $fails(function () {\n  return _create(dP({}, 'a', {\n    get: function () { return dP(this, 'a', { value: 7 }).a; }\n  })).a != 7;\n}) ? function (it, key, D) {\n  var protoDesc = gOPD(ObjectProto, key);\n  if (protoDesc) delete ObjectProto[key];\n  dP(it, key, D);\n  if (protoDesc && it !== ObjectProto) dP(ObjectProto, key, protoDesc);\n} : dP;\n\nvar wrap = function (tag) {\n  var sym = AllSymbols[tag] = _create($Symbol[PROTOTYPE]);\n  sym._k = tag;\n  return sym;\n};\n\nvar isSymbol = USE_NATIVE && typeof $Symbol.iterator == 'symbol' ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  return it instanceof $Symbol;\n};\n\nvar $defineProperty = function defineProperty(it, key, D) {\n  if (it === ObjectProto) $defineProperty(OPSymbols, key, D);\n  anObject(it);\n  key = toPrimitive(key, true);\n  anObject(D);\n  if (has(AllSymbols, key)) {\n    if (!D.enumerable) {\n      if (!has(it, HIDDEN)) dP(it, HIDDEN, createDesc(1, {}));\n      it[HIDDEN][key] = true;\n    } else {\n      if (has(it, HIDDEN) && it[HIDDEN][key]) it[HIDDEN][key] = false;\n      D = _create(D, { enumerable: createDesc(0, false) });\n    } return setSymbolDesc(it, key, D);\n  } return dP(it, key, D);\n};\nvar $defineProperties = function defineProperties(it, P) {\n  anObject(it);\n  var keys = enumKeys(P = toIObject(P));\n  var i = 0;\n  var l = keys.length;\n  var key;\n  while (l > i) $defineProperty(it, key = keys[i++], P[key]);\n  return it;\n};\nvar $create = function create(it, P) {\n  return P === undefined ? _create(it) : $defineProperties(_create(it), P);\n};\nvar $propertyIsEnumerable = function propertyIsEnumerable(key) {\n  var E = isEnum.call(this, key = toPrimitive(key, true));\n  if (this === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return false;\n  return E || !has(this, key) || !has(AllSymbols, key) || has(this, HIDDEN) && this[HIDDEN][key] ? E : true;\n};\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(it, key) {\n  it = toIObject(it);\n  key = toPrimitive(key, true);\n  if (it === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return;\n  var D = gOPD(it, key);\n  if (D && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) D.enumerable = true;\n  return D;\n};\nvar $getOwnPropertyNames = function getOwnPropertyNames(it) {\n  var names = gOPN(toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (!has(AllSymbols, key = names[i++]) && key != HIDDEN && key != META) result.push(key);\n  } return result;\n};\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(it) {\n  var IS_OP = it === ObjectProto;\n  var names = gOPN(IS_OP ? OPSymbols : toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (has(AllSymbols, key = names[i++]) && (IS_OP ? has(ObjectProto, key) : true)) result.push(AllSymbols[key]);\n  } return result;\n};\n\n// 19.4.1.1 Symbol([description])\nif (!USE_NATIVE) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor!');\n    var tag = uid(arguments.length > 0 ? arguments[0] : undefined);\n    var $set = function (value) {\n      if (this === ObjectProto) $set.call(OPSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDesc(this, tag, createDesc(1, value));\n    };\n    if (DESCRIPTORS && setter) setSymbolDesc(ObjectProto, tag, { configurable: true, set: $set });\n    return wrap(tag);\n  };\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return this._k;\n  });\n\n  $GOPD.f = $getOwnPropertyDescriptor;\n  $DP.f = $defineProperty;\n  require('./_object-gopn').f = gOPNExt.f = $getOwnPropertyNames;\n  require('./_object-pie').f = $propertyIsEnumerable;\n  require('./_object-gops').f = $getOwnPropertySymbols;\n\n  if (DESCRIPTORS && !require('./_library')) {\n    redefine(ObjectProto, 'propertyIsEnumerable', $propertyIsEnumerable, true);\n  }\n\n  wksExt.f = function (name) {\n    return wrap(wks(name));\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Symbol: $Symbol });\n\nfor (var es6Symbols = (\n  // 19.4.2.2, 19.4.2.3, 19.4.2.4, 19.4.2.6, 19.4.2.8, 19.4.2.9, 19.4.2.10, 19.4.2.11, 19.4.2.12, 19.4.2.13, 19.4.2.14\n  'hasInstance,isConcatSpreadable,iterator,match,replace,search,species,split,toPrimitive,toStringTag,unscopables'\n).split(','), j = 0; es6Symbols.length > j;)wks(es6Symbols[j++]);\n\nfor (var wellKnownSymbols = $keys(wks.store), k = 0; wellKnownSymbols.length > k;) wksDefine(wellKnownSymbols[k++]);\n\n$export($export.S + $export.F * !USE_NATIVE, 'Symbol', {\n  // 19.4.2.1 Symbol.for(key)\n  'for': function (key) {\n    return has(SymbolRegistry, key += '')\n      ? SymbolRegistry[key]\n      : SymbolRegistry[key] = $Symbol(key);\n  },\n  // 19.4.2.5 Symbol.keyFor(sym)\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol!');\n    for (var key in SymbolRegistry) if (SymbolRegistry[key] === sym) return key;\n  },\n  useSetter: function () { setter = true; },\n  useSimple: function () { setter = false; }\n});\n\n$export($export.S + $export.F * !USE_NATIVE, 'Object', {\n  // 19.1.2.2 Object.create(O [, Properties])\n  create: $create,\n  // 19.1.2.4 Object.defineProperty(O, P, Attributes)\n  defineProperty: $defineProperty,\n  // 19.1.2.3 Object.defineProperties(O, Properties)\n  defineProperties: $defineProperties,\n  // 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor,\n  // 19.1.2.7 Object.getOwnPropertyNames(O)\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // 19.1.2.8 Object.getOwnPropertySymbols(O)\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// 24.3.2 JSON.stringify(value [, replacer [, space]])\n$JSON && $export($export.S + $export.F * (!USE_NATIVE || $fails(function () {\n  var S = $Symbol();\n  // MS Edge converts symbol values to JSON as {}\n  // WebKit converts symbol values to JSON as null\n  // V8 throws on boxed symbols\n  return _stringify([S]) != '[null]' || _stringify({ a: S }) != '{}' || _stringify(Object(S)) != '{}';\n})), 'JSON', {\n  stringify: function stringify(it) {\n    var args = [it];\n    var i = 1;\n    var replacer, $replacer;\n    while (arguments.length > i) args.push(arguments[i++]);\n    $replacer = replacer = args[1];\n    if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n    if (!isArray(replacer)) replacer = function (key, value) {\n      if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n      if (!isSymbol(value)) return value;\n    };\n    args[1] = replacer;\n    return _stringify.apply($JSON, args);\n  }\n});\n\n// 19.4.3.4 Symbol.prototype[@@toPrimitive](hint)\n$Symbol[PROTOTYPE][TO_PRIMITIVE] || require('./_hide')($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n// 19.4.3.5 Symbol.prototype[@@toStringTag]\nsetToStringTag($Symbol, 'Symbol');\n// 20.2.1.9 Math[@@toStringTag]\nsetToStringTag(Math, 'Math', true);\n// 24.3.3 JSON[@@toStringTag]\nsetToStringTag(global.JSON, 'JSON', true);\n","require('../../modules/es6.symbol');\nrequire('../../modules/es6.object.to-string');\nrequire('../../modules/es7.symbol.async-iterator');\nrequire('../../modules/es7.symbol.observable');\nmodule.exports = require('../../modules/_core').Symbol;\n","module.exports = { \"default\": require(\"core-js/library/fn/symbol\"), __esModule: true };","require('../../modules/es6.string.iterator');\nrequire('../../modules/web.dom.iterable');\nmodule.exports = require('../../modules/_wks-ext').f('iterator');\n","module.exports = { \"default\": require(\"core-js/library/fn/symbol/iterator\"), __esModule: true };","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\nImage Classifier using pre-trained networks\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport * as mobilenet from '@tensorflow-models/mobilenet';\nimport * as darknet from './darknet';\nimport callCallback from '../utils/callcallback';\n\nconst DEFAULTS = {\n  mobilenet: {\n    version: 1,\n    alpha: 1.0,\n    topk: 3,\n  },\n};\n\nclass ImageClassifier {\n  constructor(modelName, video, options, callback) {\n    this.modelName = modelName;\n    this.video = video;\n    this.model = null;\n    switch (this.modelName) {\n      case 'mobilenet':\n        this.modelToUse = mobilenet;\n        this.version = options.version || DEFAULTS.mobilenet.version;\n        this.alpha = options.alpha || DEFAULTS.mobilenet.alpha;\n        this.topk = options.topk || DEFAULTS.mobilenet.topk;\n        break;\n      case 'darknet':\n        this.version = 'reference'; // this a 28mb model\n        this.modelToUse = darknet;\n        break;\n      case 'darknet-tiny':\n        this.version = 'tiny'; // this a 4mb model\n        this.modelToUse = darknet;\n        break;\n      default:\n        this.modelToUse = null;\n    }\n    // Load the model\n    this.ready = callCallback(this.loadModel(), callback);\n  }\n\n  async loadModel() {\n    this.model = await this.modelToUse.load(this.version, this.alpha);\n    return this;\n  }\n\n  async classifyInternal(imgToPredict, numberOfClasses) {\n    // Wait for the model to be ready\n    await this.ready;\n    await tf.nextFrame();\n\n    if (this.video && this.video.readyState === 0) {\n      await new Promise((resolve) => {\n        this.video.onloadeddata = () => resolve();\n      });\n    }\n    return this.model\n      .classify(imgToPredict, numberOfClasses)\n      .then(classes => classes.map(c => ({ label: c.className, confidence: c.probability })));\n  }\n\n  async classify(inputNumOrCallback, numOrCallback = null, cb) {\n    let imgToPredict = this.video;\n    let numberOfClasses = this.topk;\n    let callback;\n\n    // Handle the image to predict\n    if (typeof inputNumOrCallback === 'function') {\n      imgToPredict = this.video;\n      callback = inputNumOrCallback;\n    } else if (typeof inputNumOrCallback === 'number') {\n      imgToPredict = this.video;\n      numberOfClasses = inputNumOrCallback;\n    } else if (inputNumOrCallback instanceof HTMLImageElement) {\n      imgToPredict = inputNumOrCallback;\n    } else if (typeof inputNumOrCallback === 'object' && inputNumOrCallback.elt instanceof HTMLImageElement) {\n      imgToPredict = inputNumOrCallback.elt; // Handle p5.js image\n    } else if (inputNumOrCallback instanceof HTMLCanvasElement) {\n      imgToPredict = inputNumOrCallback;\n    } else if (typeof inputNumOrCallback === 'object' && inputNumOrCallback.elt instanceof HTMLCanvasElement) {\n      imgToPredict = inputNumOrCallback.elt; // Handle p5.js image\n    } else if (typeof inputNumOrCallback === 'object' && inputNumOrCallback.canvas instanceof HTMLCanvasElement) {\n      imgToPredict = inputNumOrCallback.canvas; // Handle p5.js image\n    } else if (!(this.video instanceof HTMLVideoElement)) {\n      // Handle unsupported input\n      throw new Error('No input image provided. If you want to classify a video, pass the video element in the constructor. ');\n    }\n\n    if (typeof numOrCallback === 'number') {\n      numberOfClasses = numOrCallback;\n    } else if (typeof numOrCallback === 'function') {\n      callback = numOrCallback;\n    }\n\n    if (typeof cb === 'function') {\n      callback = cb;\n    }\n\n    return callCallback(this.classifyInternal(imgToPredict, numberOfClasses), callback);\n  }\n\n  async predict(inputNumOrCallback, numOrCallback, cb) {\n    return this.classify(inputNumOrCallback, numOrCallback || null, cb);\n  }\n}\n\nconst imageClassifier = (modelName, videoOrOptionsOrCallback, optionsOrCallback, cb) => {\n  let model;\n  let video;\n  let options = {};\n  let callback = cb;\n\n  if (typeof modelName === 'string') {\n    model = modelName.toLowerCase();\n  } else {\n    throw new Error('Please specify a model to use. E.g: \"MobileNet\"');\n  }\n\n  if (videoOrOptionsOrCallback instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'object' && videoOrOptionsOrCallback.elt instanceof HTMLVideoElement) {\n    video = videoOrOptionsOrCallback.elt; // Handle a p5.js video element\n  } else if (typeof videoOrOptionsOrCallback === 'object') {\n    options = videoOrOptionsOrCallback;\n  } else if (typeof videoOrOptionsOrCallback === 'function') {\n    callback = videoOrOptionsOrCallback;\n  }\n\n  if (typeof optionsOrCallback === 'object') {\n    options = optionsOrCallback;\n  } else if (typeof optionsOrCallback === 'function') {\n    callback = optionsOrCallback;\n  }\n\n  const instance = new ImageClassifier(model, video, options, callback);\n  return callback ? instance : instance.ready;\n};\nexport default imageClassifier;\n","var $export = require('./_export');\n// 19.1.2.4 / 15.2.3.6 Object.defineProperty(O, P, Attributes)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperty: require('./_object-dp').f });\n","require('../../modules/es6.object.define-property');\nvar $Object = require('../../modules/_core').Object;\nmodule.exports = function defineProperty(it, key, desc) {\n  return $Object.defineProperty(it, key, desc);\n};\n","module.exports = { \"default\": require(\"core-js/library/fn/object/define-property\"), __esModule: true };","'use strict';\n// https://github.com/tc39/proposal-promise-try\nvar $export = require('./_export');\nvar newPromiseCapability = require('./_new-promise-capability');\nvar perform = require('./_perform');\n\n$export($export.S, 'Promise', { 'try': function (callbackfn) {\n  var promiseCapability = newPromiseCapability.f(this);\n  var result = perform(callbackfn);\n  (result.e ? promiseCapability.reject : promiseCapability.resolve)(result.v);\n  return promiseCapability.promise;\n} });\n","// https://github.com/tc39/proposal-promise-finally\n'use strict';\nvar $export = require('./_export');\nvar core = require('./_core');\nvar global = require('./_global');\nvar speciesConstructor = require('./_species-constructor');\nvar promiseResolve = require('./_promise-resolve');\n\n$export($export.P + $export.R, 'Promise', { 'finally': function (onFinally) {\n  var C = speciesConstructor(this, core.Promise || global.Promise);\n  var isFunction = typeof onFinally == 'function';\n  return this.then(\n    isFunction ? function (x) {\n      return promiseResolve(C, onFinally()).then(function () { return x; });\n    } : onFinally,\n    isFunction ? function (e) {\n      return promiseResolve(C, onFinally()).then(function () { throw e; });\n    } : onFinally\n  );\n} });\n","var global = require('./_global');\nvar navigator = global.navigator;\n\nmodule.exports = navigator && navigator.userAgent || '';\n","var global = require('./_global');\nvar macrotask = require('./_task').set;\nvar Observer = global.MutationObserver || global.WebKitMutationObserver;\nvar process = global.process;\nvar Promise = global.Promise;\nvar isNode = require('./_cof')(process) == 'process';\n\nmodule.exports = function () {\n  var head, last, notify;\n\n  var flush = function () {\n    var parent, fn;\n    if (isNode && (parent = process.domain)) parent.exit();\n    while (head) {\n      fn = head.fn;\n      head = head.next;\n      try {\n        fn();\n      } catch (e) {\n        if (head) notify();\n        else last = undefined;\n        throw e;\n      }\n    } last = undefined;\n    if (parent) parent.enter();\n  };\n\n  // Node.js\n  if (isNode) {\n    notify = function () {\n      process.nextTick(flush);\n    };\n  // browsers with MutationObserver, except iOS Safari - https://github.com/zloirock/core-js/issues/339\n  } else if (Observer && !(global.navigator && global.navigator.standalone)) {\n    var toggle = true;\n    var node = document.createTextNode('');\n    new Observer(flush).observe(node, { characterData: true }); // eslint-disable-line no-new\n    notify = function () {\n      node.data = toggle = !toggle;\n    };\n  // environments with maybe non-completely correct, but existent Promise\n  } else if (Promise && Promise.resolve) {\n    // Promise.resolve without an argument throws an error in LG WebOS 2\n    var promise = Promise.resolve(undefined);\n    notify = function () {\n      promise.then(flush);\n    };\n  // for other environments - macrotask based on:\n  // - setImmediate\n  // - MessageChannel\n  // - window.postMessag\n  // - onreadystatechange\n  // - setTimeout\n  } else {\n    notify = function () {\n      // strange IE + webpack dev server bug - use .call(global)\n      macrotask.call(global, flush);\n    };\n  }\n\n  return function (fn) {\n    var task = { fn: fn, next: undefined };\n    if (last) last.next = task;\n    if (!head) {\n      head = task;\n      notify();\n    } last = task;\n  };\n};\n","// fast apply, http://jsperf.lnkit.com/fast-apply/5\nmodule.exports = function (fn, args, that) {\n  var un = that === undefined;\n  switch (args.length) {\n    case 0: return un ? fn()\n                      : fn.call(that);\n    case 1: return un ? fn(args[0])\n                      : fn.call(that, args[0]);\n    case 2: return un ? fn(args[0], args[1])\n                      : fn.call(that, args[0], args[1]);\n    case 3: return un ? fn(args[0], args[1], args[2])\n                      : fn.call(that, args[0], args[1], args[2]);\n    case 4: return un ? fn(args[0], args[1], args[2], args[3])\n                      : fn.call(that, args[0], args[1], args[2], args[3]);\n  } return fn.apply(that, args);\n};\n","'use strict';\nvar LIBRARY = require('./_library');\nvar global = require('./_global');\nvar ctx = require('./_ctx');\nvar classof = require('./_classof');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar aFunction = require('./_a-function');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar speciesConstructor = require('./_species-constructor');\nvar task = require('./_task').set;\nvar microtask = require('./_microtask')();\nvar newPromiseCapabilityModule = require('./_new-promise-capability');\nvar perform = require('./_perform');\nvar userAgent = require('./_user-agent');\nvar promiseResolve = require('./_promise-resolve');\nvar PROMISE = 'Promise';\nvar TypeError = global.TypeError;\nvar process = global.process;\nvar versions = process && process.versions;\nvar v8 = versions && versions.v8 || '';\nvar $Promise = global[PROMISE];\nvar isNode = classof(process) == 'process';\nvar empty = function () { /* empty */ };\nvar Internal, newGenericPromiseCapability, OwnPromiseCapability, Wrapper;\nvar newPromiseCapability = newGenericPromiseCapability = newPromiseCapabilityModule.f;\n\nvar USE_NATIVE = !!function () {\n  try {\n    // correct subclassing with @@species support\n    var promise = $Promise.resolve(1);\n    var FakePromise = (promise.constructor = {})[require('./_wks')('species')] = function (exec) {\n      exec(empty, empty);\n    };\n    // unhandled rejections tracking support, NodeJS Promise without it fails @@species test\n    return (isNode || typeof PromiseRejectionEvent == 'function')\n      && promise.then(empty) instanceof FakePromise\n      // v8 6.6 (Node 10 and Chrome 66) have a bug with resolving custom thenables\n      // https://bugs.chromium.org/p/chromium/issues/detail?id=830565\n      // we can't detect it synchronously, so just check versions\n      && v8.indexOf('6.6') !== 0\n      && userAgent.indexOf('Chrome/66') === -1;\n  } catch (e) { /* empty */ }\n}();\n\n// helpers\nvar isThenable = function (it) {\n  var then;\n  return isObject(it) && typeof (then = it.then) == 'function' ? then : false;\n};\nvar notify = function (promise, isReject) {\n  if (promise._n) return;\n  promise._n = true;\n  var chain = promise._c;\n  microtask(function () {\n    var value = promise._v;\n    var ok = promise._s == 1;\n    var i = 0;\n    var run = function (reaction) {\n      var handler = ok ? reaction.ok : reaction.fail;\n      var resolve = reaction.resolve;\n      var reject = reaction.reject;\n      var domain = reaction.domain;\n      var result, then, exited;\n      try {\n        if (handler) {\n          if (!ok) {\n            if (promise._h == 2) onHandleUnhandled(promise);\n            promise._h = 1;\n          }\n          if (handler === true) result = value;\n          else {\n            if (domain) domain.enter();\n            result = handler(value); // may throw\n            if (domain) {\n              domain.exit();\n              exited = true;\n            }\n          }\n          if (result === reaction.promise) {\n            reject(TypeError('Promise-chain cycle'));\n          } else if (then = isThenable(result)) {\n            then.call(result, resolve, reject);\n          } else resolve(result);\n        } else reject(value);\n      } catch (e) {\n        if (domain && !exited) domain.exit();\n        reject(e);\n      }\n    };\n    while (chain.length > i) run(chain[i++]); // variable length - can't use forEach\n    promise._c = [];\n    promise._n = false;\n    if (isReject && !promise._h) onUnhandled(promise);\n  });\n};\nvar onUnhandled = function (promise) {\n  task.call(global, function () {\n    var value = promise._v;\n    var unhandled = isUnhandled(promise);\n    var result, handler, console;\n    if (unhandled) {\n      result = perform(function () {\n        if (isNode) {\n          process.emit('unhandledRejection', value, promise);\n        } else if (handler = global.onunhandledrejection) {\n          handler({ promise: promise, reason: value });\n        } else if ((console = global.console) && console.error) {\n          console.error('Unhandled promise rejection', value);\n        }\n      });\n      // Browsers should not trigger `rejectionHandled` event if it was handled here, NodeJS - should\n      promise._h = isNode || isUnhandled(promise) ? 2 : 1;\n    } promise._a = undefined;\n    if (unhandled && result.e) throw result.v;\n  });\n};\nvar isUnhandled = function (promise) {\n  return promise._h !== 1 && (promise._a || promise._c).length === 0;\n};\nvar onHandleUnhandled = function (promise) {\n  task.call(global, function () {\n    var handler;\n    if (isNode) {\n      process.emit('rejectionHandled', promise);\n    } else if (handler = global.onrejectionhandled) {\n      handler({ promise: promise, reason: promise._v });\n    }\n  });\n};\nvar $reject = function (value) {\n  var promise = this;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  promise._v = value;\n  promise._s = 2;\n  if (!promise._a) promise._a = promise._c.slice();\n  notify(promise, true);\n};\nvar $resolve = function (value) {\n  var promise = this;\n  var then;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  try {\n    if (promise === value) throw TypeError(\"Promise can't be resolved itself\");\n    if (then = isThenable(value)) {\n      microtask(function () {\n        var wrapper = { _w: promise, _d: false }; // wrap\n        try {\n          then.call(value, ctx($resolve, wrapper, 1), ctx($reject, wrapper, 1));\n        } catch (e) {\n          $reject.call(wrapper, e);\n        }\n      });\n    } else {\n      promise._v = value;\n      promise._s = 1;\n      notify(promise, false);\n    }\n  } catch (e) {\n    $reject.call({ _w: promise, _d: false }, e); // wrap\n  }\n};\n\n// constructor polyfill\nif (!USE_NATIVE) {\n  // 25.4.3.1 Promise(executor)\n  $Promise = function Promise(executor) {\n    anInstance(this, $Promise, PROMISE, '_h');\n    aFunction(executor);\n    Internal.call(this);\n    try {\n      executor(ctx($resolve, this, 1), ctx($reject, this, 1));\n    } catch (err) {\n      $reject.call(this, err);\n    }\n  };\n  // eslint-disable-next-line no-unused-vars\n  Internal = function Promise(executor) {\n    this._c = [];             // <- awaiting reactions\n    this._a = undefined;      // <- checked in isUnhandled reactions\n    this._s = 0;              // <- state\n    this._d = false;          // <- done\n    this._v = undefined;      // <- value\n    this._h = 0;              // <- rejection state, 0 - default, 1 - handled, 2 - unhandled\n    this._n = false;          // <- notify\n  };\n  Internal.prototype = require('./_redefine-all')($Promise.prototype, {\n    // 25.4.5.3 Promise.prototype.then(onFulfilled, onRejected)\n    then: function then(onFulfilled, onRejected) {\n      var reaction = newPromiseCapability(speciesConstructor(this, $Promise));\n      reaction.ok = typeof onFulfilled == 'function' ? onFulfilled : true;\n      reaction.fail = typeof onRejected == 'function' && onRejected;\n      reaction.domain = isNode ? process.domain : undefined;\n      this._c.push(reaction);\n      if (this._a) this._a.push(reaction);\n      if (this._s) notify(this, false);\n      return reaction.promise;\n    },\n    // 25.4.5.1 Promise.prototype.catch(onRejected)\n    'catch': function (onRejected) {\n      return this.then(undefined, onRejected);\n    }\n  });\n  OwnPromiseCapability = function () {\n    var promise = new Internal();\n    this.promise = promise;\n    this.resolve = ctx($resolve, promise, 1);\n    this.reject = ctx($reject, promise, 1);\n  };\n  newPromiseCapabilityModule.f = newPromiseCapability = function (C) {\n    return C === $Promise || C === Wrapper\n      ? new OwnPromiseCapability(C)\n      : newGenericPromiseCapability(C);\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Promise: $Promise });\nrequire('./_set-to-string-tag')($Promise, PROMISE);\nrequire('./_set-species')(PROMISE);\nWrapper = require('./_core')[PROMISE];\n\n// statics\n$export($export.S + $export.F * !USE_NATIVE, PROMISE, {\n  // 25.4.4.5 Promise.reject(r)\n  reject: function reject(r) {\n    var capability = newPromiseCapability(this);\n    var $$reject = capability.reject;\n    $$reject(r);\n    return capability.promise;\n  }\n});\n$export($export.S + $export.F * (LIBRARY || !USE_NATIVE), PROMISE, {\n  // 25.4.4.6 Promise.resolve(x)\n  resolve: function resolve(x) {\n    return promiseResolve(LIBRARY && this === Wrapper ? $Promise : this, x);\n  }\n});\n$export($export.S + $export.F * !(USE_NATIVE && require('./_iter-detect')(function (iter) {\n  $Promise.all(iter)['catch'](empty);\n})), PROMISE, {\n  // 25.4.4.1 Promise.all(iterable)\n  all: function all(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var resolve = capability.resolve;\n    var reject = capability.reject;\n    var result = perform(function () {\n      var values = [];\n      var index = 0;\n      var remaining = 1;\n      forOf(iterable, false, function (promise) {\n        var $index = index++;\n        var alreadyCalled = false;\n        values.push(undefined);\n        remaining++;\n        C.resolve(promise).then(function (value) {\n          if (alreadyCalled) return;\n          alreadyCalled = true;\n          values[$index] = value;\n          --remaining || resolve(values);\n        }, reject);\n      });\n      --remaining || resolve(values);\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  },\n  // 25.4.4.4 Promise.race(iterable)\n  race: function race(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var reject = capability.reject;\n    var result = perform(function () {\n      forOf(iterable, false, function (promise) {\n        C.resolve(promise).then(capability.resolve, reject);\n      });\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  }\n});\n","module.exports = function () { /* empty */ };\n","'use strict';\nvar addToUnscopables = require('./_add-to-unscopables');\nvar step = require('./_iter-step');\nvar Iterators = require('./_iterators');\nvar toIObject = require('./_to-iobject');\n\n// 22.1.3.4 Array.prototype.entries()\n// 22.1.3.13 Array.prototype.keys()\n// 22.1.3.29 Array.prototype.values()\n// 22.1.3.30 Array.prototype[@@iterator]()\nmodule.exports = require('./_iter-define')(Array, 'Array', function (iterated, kind) {\n  this._t = toIObject(iterated); // target\n  this._i = 0;                   // next index\n  this._k = kind;                // kind\n// 22.1.5.2.1 %ArrayIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var kind = this._k;\n  var index = this._i++;\n  if (!O || index >= O.length) {\n    this._t = undefined;\n    return step(1);\n  }\n  if (kind == 'keys') return step(0, index);\n  if (kind == 'values') return step(0, O[index]);\n  return step(0, [index, O[index]]);\n}, 'values');\n\n// argumentsList[@@iterator] is %ArrayProto_values% (9.4.4.6, 9.4.4.7)\nIterators.Arguments = Iterators.Array;\n\naddToUnscopables('keys');\naddToUnscopables('values');\naddToUnscopables('entries');\n","var dP = require('./_object-dp');\nvar anObject = require('./_an-object');\nvar getKeys = require('./_object-keys');\n\nmodule.exports = require('./_descriptors') ? Object.defineProperties : function defineProperties(O, Properties) {\n  anObject(O);\n  var keys = getKeys(Properties);\n  var length = keys.length;\n  var i = 0;\n  var P;\n  while (length > i) dP.f(O, P = keys[i++], Properties[P]);\n  return O;\n};\n","'use strict';\nvar create = require('./_object-create');\nvar descriptor = require('./_property-desc');\nvar setToStringTag = require('./_set-to-string-tag');\nvar IteratorPrototype = {};\n\n// 25.1.2.1.1 %IteratorPrototype%[@@iterator]()\nrequire('./_hide')(IteratorPrototype, require('./_wks')('iterator'), function () { return this; });\n\nmodule.exports = function (Constructor, NAME, next) {\n  Constructor.prototype = create(IteratorPrototype, { next: descriptor(1, next) });\n  setToStringTag(Constructor, NAME + ' Iterator');\n};\n","var toInteger = require('./_to-integer');\nvar defined = require('./_defined');\n// true  -> String#at\n// false -> String#codePointAt\nmodule.exports = function (TO_STRING) {\n  return function (that, pos) {\n    var s = String(defined(that));\n    var i = toInteger(pos);\n    var l = s.length;\n    var a, b;\n    if (i < 0 || i >= l) return TO_STRING ? '' : undefined;\n    a = s.charCodeAt(i);\n    return a < 0xd800 || a > 0xdbff || i + 1 === l || (b = s.charCodeAt(i + 1)) < 0xdc00 || b > 0xdfff\n      ? TO_STRING ? s.charAt(i) : a\n      : TO_STRING ? s.slice(i, i + 2) : (a - 0xd800 << 10) + (b - 0xdc00) + 0x10000;\n  };\n};\n","require('../modules/es6.object.to-string');\nrequire('../modules/es6.string.iterator');\nrequire('../modules/web.dom.iterable');\nrequire('../modules/es6.promise');\nrequire('../modules/es7.promise.finally');\nrequire('../modules/es7.promise.try');\nmodule.exports = require('../modules/_core').Promise;\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n!(function(global) {\n  \"use strict\";\n\n  var Op = Object.prototype;\n  var hasOwn = Op.hasOwnProperty;\n  var undefined; // More compressible than void 0.\n  var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n  var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n  var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n  var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n  var inModule = typeof module === \"object\";\n  var runtime = global.regeneratorRuntime;\n  if (runtime) {\n    if (inModule) {\n      // If regeneratorRuntime is defined globally and we're in a module,\n      // make the exports object identical to regeneratorRuntime.\n      module.exports = runtime;\n    }\n    // Don't bother evaluating the rest of this file if the runtime was\n    // already defined globally.\n    return;\n  }\n\n  // Define the runtime globally (as expected by generated code) as either\n  // module.exports (if we're in a module) or a new, empty object.\n  runtime = global.regeneratorRuntime = inModule ? module.exports : {};\n\n  function wrap(innerFn, outerFn, self, tryLocsList) {\n    // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n    var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n    var generator = Object.create(protoGenerator.prototype);\n    var context = new Context(tryLocsList || []);\n\n    // The ._invoke method unifies the implementations of the .next,\n    // .throw, and .return methods.\n    generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n    return generator;\n  }\n  runtime.wrap = wrap;\n\n  // Try/catch helper to minimize deoptimizations. Returns a completion\n  // record like context.tryEntries[i].completion. This interface could\n  // have been (and was previously) designed to take a closure to be\n  // invoked without arguments, but in all the cases we care about we\n  // already have an existing method we want to call, so there's no need\n  // to create a new function object. We can even get away with assuming\n  // the method takes exactly one argument, since that happens to be true\n  // in every case, so we don't have to touch the arguments object. The\n  // only additional allocation required is the completion record, which\n  // has a stable shape and so hopefully should be cheap to allocate.\n  function tryCatch(fn, obj, arg) {\n    try {\n      return { type: \"normal\", arg: fn.call(obj, arg) };\n    } catch (err) {\n      return { type: \"throw\", arg: err };\n    }\n  }\n\n  var GenStateSuspendedStart = \"suspendedStart\";\n  var GenStateSuspendedYield = \"suspendedYield\";\n  var GenStateExecuting = \"executing\";\n  var GenStateCompleted = \"completed\";\n\n  // Returning this object from the innerFn has the same effect as\n  // breaking out of the dispatch switch statement.\n  var ContinueSentinel = {};\n\n  // Dummy constructor functions that we use as the .constructor and\n  // .constructor.prototype properties for functions that return Generator\n  // objects. For full spec compliance, you may wish to configure your\n  // minifier not to mangle the names of these two functions.\n  function Generator() {}\n  function GeneratorFunction() {}\n  function GeneratorFunctionPrototype() {}\n\n  // This is a polyfill for %IteratorPrototype% for environments that\n  // don't natively support it.\n  var IteratorPrototype = {};\n  IteratorPrototype[iteratorSymbol] = function () {\n    return this;\n  };\n\n  var getProto = Object.getPrototypeOf;\n  var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n  if (NativeIteratorPrototype &&\n      NativeIteratorPrototype !== Op &&\n      hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n    // This environment has a native %IteratorPrototype%; use it instead\n    // of the polyfill.\n    IteratorPrototype = NativeIteratorPrototype;\n  }\n\n  var Gp = GeneratorFunctionPrototype.prototype =\n    Generator.prototype = Object.create(IteratorPrototype);\n  GeneratorFunction.prototype = Gp.constructor = GeneratorFunctionPrototype;\n  GeneratorFunctionPrototype.constructor = GeneratorFunction;\n  GeneratorFunctionPrototype[toStringTagSymbol] =\n    GeneratorFunction.displayName = \"GeneratorFunction\";\n\n  // Helper for defining the .next, .throw, and .return methods of the\n  // Iterator interface in terms of a single ._invoke method.\n  function defineIteratorMethods(prototype) {\n    [\"next\", \"throw\", \"return\"].forEach(function(method) {\n      prototype[method] = function(arg) {\n        return this._invoke(method, arg);\n      };\n    });\n  }\n\n  runtime.isGeneratorFunction = function(genFun) {\n    var ctor = typeof genFun === \"function\" && genFun.constructor;\n    return ctor\n      ? ctor === GeneratorFunction ||\n        // For the native GeneratorFunction constructor, the best we can\n        // do is to check its .name property.\n        (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n      : false;\n  };\n\n  runtime.mark = function(genFun) {\n    if (Object.setPrototypeOf) {\n      Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n    } else {\n      genFun.__proto__ = GeneratorFunctionPrototype;\n      if (!(toStringTagSymbol in genFun)) {\n        genFun[toStringTagSymbol] = \"GeneratorFunction\";\n      }\n    }\n    genFun.prototype = Object.create(Gp);\n    return genFun;\n  };\n\n  // Within the body of any async function, `await x` is transformed to\n  // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n  // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n  // meant to be awaited.\n  runtime.awrap = function(arg) {\n    return { __await: arg };\n  };\n\n  function AsyncIterator(generator) {\n    function invoke(method, arg, resolve, reject) {\n      var record = tryCatch(generator[method], generator, arg);\n      if (record.type === \"throw\") {\n        reject(record.arg);\n      } else {\n        var result = record.arg;\n        var value = result.value;\n        if (value &&\n            typeof value === \"object\" &&\n            hasOwn.call(value, \"__await\")) {\n          return Promise.resolve(value.__await).then(function(value) {\n            invoke(\"next\", value, resolve, reject);\n          }, function(err) {\n            invoke(\"throw\", err, resolve, reject);\n          });\n        }\n\n        return Promise.resolve(value).then(function(unwrapped) {\n          // When a yielded Promise is resolved, its final value becomes\n          // the .value of the Promise<{value,done}> result for the\n          // current iteration. If the Promise is rejected, however, the\n          // result for this iteration will be rejected with the same\n          // reason. Note that rejections of yielded Promises are not\n          // thrown back into the generator function, as is the case\n          // when an awaited Promise is rejected. This difference in\n          // behavior between yield and await is important, because it\n          // allows the consumer to decide what to do with the yielded\n          // rejection (swallow it and continue, manually .throw it back\n          // into the generator, abandon iteration, whatever). With\n          // await, by contrast, there is no opportunity to examine the\n          // rejection reason outside the generator function, so the\n          // only option is to throw it from the await expression, and\n          // let the generator function handle the exception.\n          result.value = unwrapped;\n          resolve(result);\n        }, reject);\n      }\n    }\n\n    var previousPromise;\n\n    function enqueue(method, arg) {\n      function callInvokeWithMethodAndArg() {\n        return new Promise(function(resolve, reject) {\n          invoke(method, arg, resolve, reject);\n        });\n      }\n\n      return previousPromise =\n        // If enqueue has been called before, then we want to wait until\n        // all previous Promises have been resolved before calling invoke,\n        // so that results are always delivered in the correct order. If\n        // enqueue has not been called before, then it is important to\n        // call invoke immediately, without waiting on a callback to fire,\n        // so that the async generator function has the opportunity to do\n        // any necessary setup in a predictable way. This predictability\n        // is why the Promise constructor synchronously invokes its\n        // executor callback, and why async functions synchronously\n        // execute code before the first await. Since we implement simple\n        // async functions in terms of async generators, it is especially\n        // important to get this right, even though it requires care.\n        previousPromise ? previousPromise.then(\n          callInvokeWithMethodAndArg,\n          // Avoid propagating failures to Promises returned by later\n          // invocations of the iterator.\n          callInvokeWithMethodAndArg\n        ) : callInvokeWithMethodAndArg();\n    }\n\n    // Define the unified helper method that is used to implement .next,\n    // .throw, and .return (see defineIteratorMethods).\n    this._invoke = enqueue;\n  }\n\n  defineIteratorMethods(AsyncIterator.prototype);\n  AsyncIterator.prototype[asyncIteratorSymbol] = function () {\n    return this;\n  };\n  runtime.AsyncIterator = AsyncIterator;\n\n  // Note that simple async functions are implemented on top of\n  // AsyncIterator objects; they just return a Promise for the value of\n  // the final result produced by the iterator.\n  runtime.async = function(innerFn, outerFn, self, tryLocsList) {\n    var iter = new AsyncIterator(\n      wrap(innerFn, outerFn, self, tryLocsList)\n    );\n\n    return runtime.isGeneratorFunction(outerFn)\n      ? iter // If outerFn is a generator, return the full iterator.\n      : iter.next().then(function(result) {\n          return result.done ? result.value : iter.next();\n        });\n  };\n\n  function makeInvokeMethod(innerFn, self, context) {\n    var state = GenStateSuspendedStart;\n\n    return function invoke(method, arg) {\n      if (state === GenStateExecuting) {\n        throw new Error(\"Generator is already running\");\n      }\n\n      if (state === GenStateCompleted) {\n        if (method === \"throw\") {\n          throw arg;\n        }\n\n        // Be forgiving, per 25.3.3.3.3 of the spec:\n        // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n        return doneResult();\n      }\n\n      context.method = method;\n      context.arg = arg;\n\n      while (true) {\n        var delegate = context.delegate;\n        if (delegate) {\n          var delegateResult = maybeInvokeDelegate(delegate, context);\n          if (delegateResult) {\n            if (delegateResult === ContinueSentinel) continue;\n            return delegateResult;\n          }\n        }\n\n        if (context.method === \"next\") {\n          // Setting context._sent for legacy support of Babel's\n          // function.sent implementation.\n          context.sent = context._sent = context.arg;\n\n        } else if (context.method === \"throw\") {\n          if (state === GenStateSuspendedStart) {\n            state = GenStateCompleted;\n            throw context.arg;\n          }\n\n          context.dispatchException(context.arg);\n\n        } else if (context.method === \"return\") {\n          context.abrupt(\"return\", context.arg);\n        }\n\n        state = GenStateExecuting;\n\n        var record = tryCatch(innerFn, self, context);\n        if (record.type === \"normal\") {\n          // If an exception is thrown from innerFn, we leave state ===\n          // GenStateExecuting and loop back for another invocation.\n          state = context.done\n            ? GenStateCompleted\n            : GenStateSuspendedYield;\n\n          if (record.arg === ContinueSentinel) {\n            continue;\n          }\n\n          return {\n            value: record.arg,\n            done: context.done\n          };\n\n        } else if (record.type === \"throw\") {\n          state = GenStateCompleted;\n          // Dispatch the exception by looping back around to the\n          // context.dispatchException(context.arg) call above.\n          context.method = \"throw\";\n          context.arg = record.arg;\n        }\n      }\n    };\n  }\n\n  // Call delegate.iterator[context.method](context.arg) and handle the\n  // result, either by returning a { value, done } result from the\n  // delegate iterator, or by modifying context.method and context.arg,\n  // setting context.delegate to null, and returning the ContinueSentinel.\n  function maybeInvokeDelegate(delegate, context) {\n    var method = delegate.iterator[context.method];\n    if (method === undefined) {\n      // A .throw or .return when the delegate iterator has no .throw\n      // method always terminates the yield* loop.\n      context.delegate = null;\n\n      if (context.method === \"throw\") {\n        if (delegate.iterator.return) {\n          // If the delegate iterator has a return method, give it a\n          // chance to clean up.\n          context.method = \"return\";\n          context.arg = undefined;\n          maybeInvokeDelegate(delegate, context);\n\n          if (context.method === \"throw\") {\n            // If maybeInvokeDelegate(context) changed context.method from\n            // \"return\" to \"throw\", let that override the TypeError below.\n            return ContinueSentinel;\n          }\n        }\n\n        context.method = \"throw\";\n        context.arg = new TypeError(\n          \"The iterator does not provide a 'throw' method\");\n      }\n\n      return ContinueSentinel;\n    }\n\n    var record = tryCatch(method, delegate.iterator, context.arg);\n\n    if (record.type === \"throw\") {\n      context.method = \"throw\";\n      context.arg = record.arg;\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    var info = record.arg;\n\n    if (! info) {\n      context.method = \"throw\";\n      context.arg = new TypeError(\"iterator result is not an object\");\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    if (info.done) {\n      // Assign the result of the finished delegate to the temporary\n      // variable specified by delegate.resultName (see delegateYield).\n      context[delegate.resultName] = info.value;\n\n      // Resume execution at the desired location (see delegateYield).\n      context.next = delegate.nextLoc;\n\n      // If context.method was \"throw\" but the delegate handled the\n      // exception, let the outer generator proceed normally. If\n      // context.method was \"next\", forget context.arg since it has been\n      // \"consumed\" by the delegate iterator. If context.method was\n      // \"return\", allow the original .return call to continue in the\n      // outer generator.\n      if (context.method !== \"return\") {\n        context.method = \"next\";\n        context.arg = undefined;\n      }\n\n    } else {\n      // Re-yield the result returned by the delegate method.\n      return info;\n    }\n\n    // The delegate iterator is finished, so forget it and continue with\n    // the outer generator.\n    context.delegate = null;\n    return ContinueSentinel;\n  }\n\n  // Define Generator.prototype.{next,throw,return} in terms of the\n  // unified ._invoke helper method.\n  defineIteratorMethods(Gp);\n\n  Gp[toStringTagSymbol] = \"Generator\";\n\n  // A Generator should always return itself as the iterator object when the\n  // @@iterator function is called on it. Some browsers' implementations of the\n  // iterator prototype chain incorrectly implement this, causing the Generator\n  // object to not be returned from this call. This ensures that doesn't happen.\n  // See https://github.com/facebook/regenerator/issues/274 for more details.\n  Gp[iteratorSymbol] = function() {\n    return this;\n  };\n\n  Gp.toString = function() {\n    return \"[object Generator]\";\n  };\n\n  function pushTryEntry(locs) {\n    var entry = { tryLoc: locs[0] };\n\n    if (1 in locs) {\n      entry.catchLoc = locs[1];\n    }\n\n    if (2 in locs) {\n      entry.finallyLoc = locs[2];\n      entry.afterLoc = locs[3];\n    }\n\n    this.tryEntries.push(entry);\n  }\n\n  function resetTryEntry(entry) {\n    var record = entry.completion || {};\n    record.type = \"normal\";\n    delete record.arg;\n    entry.completion = record;\n  }\n\n  function Context(tryLocsList) {\n    // The root entry object (effectively a try statement without a catch\n    // or a finally block) gives us a place to store values thrown from\n    // locations where there is no enclosing try statement.\n    this.tryEntries = [{ tryLoc: \"root\" }];\n    tryLocsList.forEach(pushTryEntry, this);\n    this.reset(true);\n  }\n\n  runtime.keys = function(object) {\n    var keys = [];\n    for (var key in object) {\n      keys.push(key);\n    }\n    keys.reverse();\n\n    // Rather than returning an object with a next method, we keep\n    // things simple and return the next function itself.\n    return function next() {\n      while (keys.length) {\n        var key = keys.pop();\n        if (key in object) {\n          next.value = key;\n          next.done = false;\n          return next;\n        }\n      }\n\n      // To avoid creating an additional object, we just hang the .value\n      // and .done properties off the next function object itself. This\n      // also ensures that the minifier will not anonymize the function.\n      next.done = true;\n      return next;\n    };\n  };\n\n  function values(iterable) {\n    if (iterable) {\n      var iteratorMethod = iterable[iteratorSymbol];\n      if (iteratorMethod) {\n        return iteratorMethod.call(iterable);\n      }\n\n      if (typeof iterable.next === \"function\") {\n        return iterable;\n      }\n\n      if (!isNaN(iterable.length)) {\n        var i = -1, next = function next() {\n          while (++i < iterable.length) {\n            if (hasOwn.call(iterable, i)) {\n              next.value = iterable[i];\n              next.done = false;\n              return next;\n            }\n          }\n\n          next.value = undefined;\n          next.done = true;\n\n          return next;\n        };\n\n        return next.next = next;\n      }\n    }\n\n    // Return an iterator with no values.\n    return { next: doneResult };\n  }\n  runtime.values = values;\n\n  function doneResult() {\n    return { value: undefined, done: true };\n  }\n\n  Context.prototype = {\n    constructor: Context,\n\n    reset: function(skipTempReset) {\n      this.prev = 0;\n      this.next = 0;\n      // Resetting context._sent for legacy support of Babel's\n      // function.sent implementation.\n      this.sent = this._sent = undefined;\n      this.done = false;\n      this.delegate = null;\n\n      this.method = \"next\";\n      this.arg = undefined;\n\n      this.tryEntries.forEach(resetTryEntry);\n\n      if (!skipTempReset) {\n        for (var name in this) {\n          // Not sure about the optimal order of these conditions:\n          if (name.charAt(0) === \"t\" &&\n              hasOwn.call(this, name) &&\n              !isNaN(+name.slice(1))) {\n            this[name] = undefined;\n          }\n        }\n      }\n    },\n\n    stop: function() {\n      this.done = true;\n\n      var rootEntry = this.tryEntries[0];\n      var rootRecord = rootEntry.completion;\n      if (rootRecord.type === \"throw\") {\n        throw rootRecord.arg;\n      }\n\n      return this.rval;\n    },\n\n    dispatchException: function(exception) {\n      if (this.done) {\n        throw exception;\n      }\n\n      var context = this;\n      function handle(loc, caught) {\n        record.type = \"throw\";\n        record.arg = exception;\n        context.next = loc;\n\n        if (caught) {\n          // If the dispatched exception was caught by a catch block,\n          // then let that catch block handle the exception normally.\n          context.method = \"next\";\n          context.arg = undefined;\n        }\n\n        return !! caught;\n      }\n\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        var record = entry.completion;\n\n        if (entry.tryLoc === \"root\") {\n          // Exception thrown outside of any try block that could handle\n          // it, so set the completion value of the entire function to\n          // throw the exception.\n          return handle(\"end\");\n        }\n\n        if (entry.tryLoc <= this.prev) {\n          var hasCatch = hasOwn.call(entry, \"catchLoc\");\n          var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n          if (hasCatch && hasFinally) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            } else if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else if (hasCatch) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            }\n\n          } else if (hasFinally) {\n            if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else {\n            throw new Error(\"try statement without catch or finally\");\n          }\n        }\n      }\n    },\n\n    abrupt: function(type, arg) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc <= this.prev &&\n            hasOwn.call(entry, \"finallyLoc\") &&\n            this.prev < entry.finallyLoc) {\n          var finallyEntry = entry;\n          break;\n        }\n      }\n\n      if (finallyEntry &&\n          (type === \"break\" ||\n           type === \"continue\") &&\n          finallyEntry.tryLoc <= arg &&\n          arg <= finallyEntry.finallyLoc) {\n        // Ignore the finally entry if control is not jumping to a\n        // location outside the try/catch block.\n        finallyEntry = null;\n      }\n\n      var record = finallyEntry ? finallyEntry.completion : {};\n      record.type = type;\n      record.arg = arg;\n\n      if (finallyEntry) {\n        this.method = \"next\";\n        this.next = finallyEntry.finallyLoc;\n        return ContinueSentinel;\n      }\n\n      return this.complete(record);\n    },\n\n    complete: function(record, afterLoc) {\n      if (record.type === \"throw\") {\n        throw record.arg;\n      }\n\n      if (record.type === \"break\" ||\n          record.type === \"continue\") {\n        this.next = record.arg;\n      } else if (record.type === \"return\") {\n        this.rval = this.arg = record.arg;\n        this.method = \"return\";\n        this.next = \"end\";\n      } else if (record.type === \"normal\" && afterLoc) {\n        this.next = afterLoc;\n      }\n\n      return ContinueSentinel;\n    },\n\n    finish: function(finallyLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.finallyLoc === finallyLoc) {\n          this.complete(entry.completion, entry.afterLoc);\n          resetTryEntry(entry);\n          return ContinueSentinel;\n        }\n      }\n    },\n\n    \"catch\": function(tryLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc === tryLoc) {\n          var record = entry.completion;\n          if (record.type === \"throw\") {\n            var thrown = record.arg;\n            resetTryEntry(entry);\n          }\n          return thrown;\n        }\n      }\n\n      // The context.catch method must only be called with a location\n      // argument that corresponds to a known catch block.\n      throw new Error(\"illegal catch attempt\");\n    },\n\n    delegateYield: function(iterable, resultName, nextLoc) {\n      this.delegate = {\n        iterator: values(iterable),\n        resultName: resultName,\n        nextLoc: nextLoc\n      };\n\n      if (this.method === \"next\") {\n        // Deliberately forget the last sent value so that we don't\n        // accidentally pass it on to the delegate.\n        this.arg = undefined;\n      }\n\n      return ContinueSentinel;\n    }\n  };\n})(\n  // In sloppy mode, unbound `this` refers to the global object, fallback to\n  // Function constructor if we're in global strict mode. That is sadly a form\n  // of indirect eval which violates Content Security Policy.\n  (function() { return this })() || Function(\"return this\")()\n);\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\n// This method of obtaining a reference to the global object needs to be\n// kept identical to the way it is obtained in runtime.js\nvar g = (function() { return this })() || Function(\"return this\")();\n\n// Use `getOwnPropertyNames` because not all browsers support calling\n// `hasOwnProperty` on the global `self` object in a worker. See #183.\nvar hadRuntime = g.regeneratorRuntime &&\n  Object.getOwnPropertyNames(g).indexOf(\"regeneratorRuntime\") >= 0;\n\n// Save the old regeneratorRuntime in case it needs to be restored later.\nvar oldRuntime = hadRuntime && g.regeneratorRuntime;\n\n// Force reevalutation of runtime.js.\ng.regeneratorRuntime = undefined;\n\nmodule.exports = require(\"./runtime\");\n\nif (hadRuntime) {\n  // Restore the original runtime.\n  g.regeneratorRuntime = oldRuntime;\n} else {\n  // Remove the global property added by runtime.js.\n  try {\n    delete g.regeneratorRuntime;\n  } catch(e) {\n    g.regeneratorRuntime = undefined;\n  }\n}\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\n/*\n  Crepe Pitch Detection model\n  Based on https://github.com/marl/crepe/tree/gh-pages\n  Original model and code: https://marl.github.io/crepe/crepe.js\n*/\n\nimport * as tf from '@tensorflow/tfjs';\nimport callCallback from '../utils/callcallback';\n\nclass PitchDetection {\n  constructor(model, audioContext, stream, callback) {\n    this.model = model;\n    this.audioContext = audioContext;\n    this.stream = stream;\n    this.frequency = null;\n    this.ready = callCallback(this.loadModel(model), callback);\n  }\n\n  async loadModel(model) {\n    this.model = await tf.loadModel(`${model}/model.json`);\n    if (this.audioContext) {\n      await this.processStream();\n    } else {\n      throw new Error('Could not access microphone - getUserMedia not available');\n    }\n    return this;\n  }\n\n  async processStream() {\n    await tf.nextFrame();\n\n    const mic = this.audioContext.createMediaStreamSource(this.stream);\n    const minBufferSize = (this.audioContext.sampleRate / 16000) * 1024;\n    let bufferSize = 4;\n    while (bufferSize < minBufferSize) bufferSize *= 2;\n\n    const scriptNode = this.audioContext.createScriptProcessor(bufferSize, 1, 1);\n    scriptNode.onaudioprocess = this.processMicrophoneBuffer.bind(this);\n    const gain = this.audioContext.createGain();\n    gain.gain.setValueAtTime(0, this.audioContext.currentTime);\n\n    mic.connect(scriptNode);\n    scriptNode.connect(gain);\n    gain.connect(this.audioContext.destination);\n\n    if (this.audioContext.state !== 'running') {\n      console.warn('User gesture needed to start AudioContext, please click');\n    }\n  }\n\n  async processMicrophoneBuffer(event) {\n    await tf.nextFrame();\n    this.results = {};\n    const centMapping = tf.add(tf.linspace(0, 7180, 360), tf.tensor(1997.3794084376191));\n    PitchDetection.resample(event.inputBuffer, (resampled) => {\n      tf.tidy(() => {\n        this.running = true;\n        const frame = tf.tensor(resampled.slice(0, 1024));\n        const zeromean = tf.sub(frame, tf.mean(frame));\n        const framestd = tf.tensor(tf.norm(zeromean).dataSync() / Math.sqrt(1024));\n        const normalized = tf.div(zeromean, framestd);\n        const input = normalized.reshape([1, 1024]);\n        const activation = this.model.predict([input]).reshape([360]);\n        const confidence = activation.max().dataSync()[0];\n        const center = activation.argMax().dataSync()[0];\n        this.results.confidence = confidence.toFixed(3);\n\n        const start = Math.max(0, center - 4);\n        const end = Math.min(360, center + 5);\n        const weights = activation.slice([start], [end - start]);\n        const cents = centMapping.slice([start], [end - start]);\n\n        const products = tf.mul(weights, cents);\n        const productSum = products.dataSync().reduce((a, b) => a + b, 0);\n        const weightSum = weights.dataSync().reduce((a, b) => a + b, 0);\n        const predictedCent = productSum / weightSum;\n        const predictedHz = 10 * (2 ** (predictedCent / 1200.0));\n\n        const frequency = (confidence > 0.5) ? predictedHz : null;\n        this.frequency = frequency;\n      });\n    });\n  }\n\n  async getPitch(callback) {\n    await this.ready;\n    await tf.nextFrame();\n    const { frequency } = this;\n    if (callback) {\n      callback(undefined, frequency);\n    }\n    return frequency;\n  }\n\n  static resample(audioBuffer, onComplete) {\n    const interpolate = (audioBuffer.sampleRate % 16000 !== 0);\n    const multiplier = audioBuffer.sampleRate / 16000;\n    const original = audioBuffer.getChannelData(0);\n    const subsamples = new Float32Array(1024);\n    for (let i = 0; i < 1024; i += 1) {\n      if (!interpolate) {\n        subsamples[i] = original[i * multiplier];\n      } else {\n        const left = Math.floor(i * multiplier);\n        const right = left + 1;\n        const p = (i * multiplier) - left;\n        subsamples[i] = (((1 - p) * original[left]) + (p * original[right]));\n      }\n    }\n    onComplete(subsamples);\n  }\n}\n\nconst pitchDetection = (modelPath = './', context, stream, callback) => new PitchDetection(modelPath, context, stream, callback);\n\nexport default pitchDetection;\n","'use strict'\n\nfunction oldBrowser () {\n  throw new Error('secure random number generation not supported by this browser\\nuse chrome, FireFox or Internet Explorer 11')\n}\nvar safeBuffer = require('safe-buffer')\nvar randombytes = require('randombytes')\nvar Buffer = safeBuffer.Buffer\nvar kBufferMaxLength = safeBuffer.kMaxLength\nvar crypto = global.crypto || global.msCrypto\nvar kMaxUint32 = Math.pow(2, 32) - 1\nfunction assertOffset (offset, length) {\n  if (typeof offset !== 'number' || offset !== offset) { // eslint-disable-line no-self-compare\n    throw new TypeError('offset must be a number')\n  }\n\n  if (offset > kMaxUint32 || offset < 0) {\n    throw new TypeError('offset must be a uint32')\n  }\n\n  if (offset > kBufferMaxLength || offset > length) {\n    throw new RangeError('offset out of range')\n  }\n}\n\nfunction assertSize (size, offset, length) {\n  if (typeof size !== 'number' || size !== size) { // eslint-disable-line no-self-compare\n    throw new TypeError('size must be a number')\n  }\n\n  if (size > kMaxUint32 || size < 0) {\n    throw new TypeError('size must be a uint32')\n  }\n\n  if (size + offset > length || size > kBufferMaxLength) {\n    throw new RangeError('buffer too small')\n  }\n}\nif ((crypto && crypto.getRandomValues) || !process.browser) {\n  exports.randomFill = randomFill\n  exports.randomFillSync = randomFillSync\n} else {\n  exports.randomFill = oldBrowser\n  exports.randomFillSync = oldBrowser\n}\nfunction randomFill (buf, offset, size, cb) {\n  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {\n    throw new TypeError('\"buf\" argument must be a Buffer or Uint8Array')\n  }\n\n  if (typeof offset === 'function') {\n    cb = offset\n    offset = 0\n    size = buf.length\n  } else if (typeof size === 'function') {\n    cb = size\n    size = buf.length - offset\n  } else if (typeof cb !== 'function') {\n    throw new TypeError('\"cb\" argument must be a function')\n  }\n  assertOffset(offset, buf.length)\n  assertSize(size, offset, buf.length)\n  return actualFill(buf, offset, size, cb)\n}\n\nfunction actualFill (buf, offset, size, cb) {\n  if (process.browser) {\n    var ourBuf = buf.buffer\n    var uint = new Uint8Array(ourBuf, offset, size)\n    crypto.getRandomValues(uint)\n    if (cb) {\n      process.nextTick(function () {\n        cb(null, buf)\n      })\n      return\n    }\n    return buf\n  }\n  if (cb) {\n    randombytes(size, function (err, bytes) {\n      if (err) {\n        return cb(err)\n      }\n      bytes.copy(buf, offset)\n      cb(null, buf)\n    })\n    return\n  }\n  var bytes = randombytes(size)\n  bytes.copy(buf, offset)\n  return buf\n}\nfunction randomFillSync (buf, offset, size) {\n  if (typeof offset === 'undefined') {\n    offset = 0\n  }\n  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {\n    throw new TypeError('\"buf\" argument must be a Buffer or Uint8Array')\n  }\n\n  assertOffset(offset, buf.length)\n\n  if (size === undefined) size = buf.length - offset\n\n  assertSize(size, offset, buf.length)\n\n  return actualFill(buf, offset, size)\n}\n","var parseKeys = require('parse-asn1')\nvar mgf = require('./mgf')\nvar xor = require('./xor')\nvar BN = require('bn.js')\nvar crt = require('browserify-rsa')\nvar createHash = require('create-hash')\nvar withPublic = require('./withPublic')\nvar Buffer = require('safe-buffer').Buffer\n\nmodule.exports = function privateDecrypt (privateKey, enc, reverse) {\n  var padding\n  if (privateKey.padding) {\n    padding = privateKey.padding\n  } else if (reverse) {\n    padding = 1\n  } else {\n    padding = 4\n  }\n\n  var key = parseKeys(privateKey)\n  var k = key.modulus.byteLength()\n  if (enc.length > k || new BN(enc).cmp(key.modulus) >= 0) {\n    throw new Error('decryption error')\n  }\n  var msg\n  if (reverse) {\n    msg = withPublic(new BN(enc), key)\n  } else {\n    msg = crt(enc, key)\n  }\n  var zBuffer = Buffer.alloc(k - msg.length)\n  msg = Buffer.concat([zBuffer, msg], k)\n  if (padding === 4) {\n    return oaep(key, msg)\n  } else if (padding === 1) {\n    return pkcs1(key, msg, reverse)\n  } else if (padding === 3) {\n    return msg\n  } else {\n    throw new Error('unknown padding')\n  }\n}\n\nfunction oaep (key, msg) {\n  var k = key.modulus.byteLength()\n  var iHash = createHash('sha1').update(Buffer.alloc(0)).digest()\n  var hLen = iHash.length\n  if (msg[0] !== 0) {\n    throw new Error('decryption error')\n  }\n  var maskedSeed = msg.slice(1, hLen + 1)\n  var maskedDb = msg.slice(hLen + 1)\n  var seed = xor(maskedSeed, mgf(maskedDb, hLen))\n  var db = xor(maskedDb, mgf(seed, k - hLen - 1))\n  if (compare(iHash, db.slice(0, hLen))) {\n    throw new Error('decryption error')\n  }\n  var i = hLen\n  while (db[i] === 0) {\n    i++\n  }\n  if (db[i++] !== 1) {\n    throw new Error('decryption error')\n  }\n  return db.slice(i)\n}\n\nfunction pkcs1 (key, msg, reverse) {\n  var p1 = msg.slice(0, 2)\n  var i = 2\n  var status = 0\n  while (msg[i++] !== 0) {\n    if (i >= msg.length) {\n      status++\n      break\n    }\n  }\n  var ps = msg.slice(2, i - 1)\n\n  if ((p1.toString('hex') !== '0002' && !reverse) || (p1.toString('hex') !== '0001' && reverse)) {\n    status++\n  }\n  if (ps.length < 8) {\n    status++\n  }\n  if (status) {\n    throw new Error('decryption error')\n  }\n  return msg.slice(i)\n}\nfunction compare (a, b) {\n  a = Buffer.from(a)\n  b = Buffer.from(b)\n  var dif = 0\n  var len = a.length\n  if (a.length !== b.length) {\n    dif++\n    len = Math.min(a.length, b.length)\n  }\n  var i = -1\n  while (++i < len) {\n    dif += (a[i] ^ b[i])\n  }\n  return dif\n}\n","var parseKeys = require('parse-asn1')\nvar randomBytes = require('randombytes')\nvar createHash = require('create-hash')\nvar mgf = require('./mgf')\nvar xor = require('./xor')\nvar BN = require('bn.js')\nvar withPublic = require('./withPublic')\nvar crt = require('browserify-rsa')\nvar Buffer = require('safe-buffer').Buffer\n\nmodule.exports = function publicEncrypt (publicKey, msg, reverse) {\n  var padding\n  if (publicKey.padding) {\n    padding = publicKey.padding\n  } else if (reverse) {\n    padding = 1\n  } else {\n    padding = 4\n  }\n  var key = parseKeys(publicKey)\n  var paddedMsg\n  if (padding === 4) {\n    paddedMsg = oaep(key, msg)\n  } else if (padding === 1) {\n    paddedMsg = pkcs1(key, msg, reverse)\n  } else if (padding === 3) {\n    paddedMsg = new BN(msg)\n    if (paddedMsg.cmp(key.modulus) >= 0) {\n      throw new Error('data too long for modulus')\n    }\n  } else {\n    throw new Error('unknown padding')\n  }\n  if (reverse) {\n    return crt(paddedMsg, key)\n  } else {\n    return withPublic(paddedMsg, key)\n  }\n}\n\nfunction oaep (key, msg) {\n  var k = key.modulus.byteLength()\n  var mLen = msg.length\n  var iHash = createHash('sha1').update(Buffer.alloc(0)).digest()\n  var hLen = iHash.length\n  var hLen2 = 2 * hLen\n  if (mLen > k - hLen2 - 2) {\n    throw new Error('message too long')\n  }\n  var ps = Buffer.alloc(k - mLen - hLen2 - 2)\n  var dblen = k - hLen - 1\n  var seed = randomBytes(hLen)\n  var maskedDb = xor(Buffer.concat([iHash, ps, Buffer.alloc(1, 1), msg], dblen), mgf(seed, dblen))\n  var maskedSeed = xor(seed, mgf(maskedDb, hLen))\n  return new BN(Buffer.concat([Buffer.alloc(1), maskedSeed, maskedDb], k))\n}\nfunction pkcs1 (key, msg, reverse) {\n  var mLen = msg.length\n  var k = key.modulus.byteLength()\n  if (mLen > k - 11) {\n    throw new Error('message too long')\n  }\n  var ps\n  if (reverse) {\n    ps = Buffer.alloc(k - mLen - 3, 0xff)\n  } else {\n    ps = nonZero(k - mLen - 3)\n  }\n  return new BN(Buffer.concat([Buffer.from([0, reverse ? 1 : 2]), ps, Buffer.alloc(1), msg], k))\n}\nfunction nonZero (len) {\n  var out = Buffer.allocUnsafe(len)\n  var i = 0\n  var cache = randomBytes(len * 2)\n  var cur = 0\n  var num\n  while (i < len) {\n    if (cur === cache.length) {\n      cache = randomBytes(len * 2)\n      cur = 0\n    }\n    num = cache[cur++]\n    if (num) {\n      out[i++] = num\n    }\n  }\n  return out\n}\n","exports.publicEncrypt = require('./publicEncrypt')\nexports.privateDecrypt = require('./privateDecrypt')\n\nexports.privateEncrypt = function privateEncrypt (key, buf) {\n  return exports.publicEncrypt(key, buf, true)\n}\n\nexports.publicDecrypt = function publicDecrypt (key, buf) {\n  return exports.privateDecrypt(key, buf, true)\n}\n","var elliptic = require('elliptic')\nvar BN = require('bn.js')\n\nmodule.exports = function createECDH (curve) {\n  return new ECDH(curve)\n}\n\nvar aliases = {\n  secp256k1: {\n    name: 'secp256k1',\n    byteLength: 32\n  },\n  secp224r1: {\n    name: 'p224',\n    byteLength: 28\n  },\n  prime256v1: {\n    name: 'p256',\n    byteLength: 32\n  },\n  prime192v1: {\n    name: 'p192',\n    byteLength: 24\n  },\n  ed25519: {\n    name: 'ed25519',\n    byteLength: 32\n  },\n  secp384r1: {\n    name: 'p384',\n    byteLength: 48\n  },\n  secp521r1: {\n    name: 'p521',\n    byteLength: 66\n  }\n}\n\naliases.p224 = aliases.secp224r1\naliases.p256 = aliases.secp256r1 = aliases.prime256v1\naliases.p192 = aliases.secp192r1 = aliases.prime192v1\naliases.p384 = aliases.secp384r1\naliases.p521 = aliases.secp521r1\n\nfunction ECDH (curve) {\n  this.curveType = aliases[curve]\n  if (!this.curveType) {\n    this.curveType = {\n      name: curve\n    }\n  }\n  this.curve = new elliptic.ec(this.curveType.name) // eslint-disable-line new-cap\n  this.keys = void 0\n}\n\nECDH.prototype.generateKeys = function (enc, format) {\n  this.keys = this.curve.genKeyPair()\n  return this.getPublicKey(enc, format)\n}\n\nECDH.prototype.computeSecret = function (other, inenc, enc) {\n  inenc = inenc || 'utf8'\n  if (!Buffer.isBuffer(other)) {\n    other = new Buffer(other, inenc)\n  }\n  var otherPub = this.curve.keyFromPublic(other).getPublic()\n  var out = otherPub.mul(this.keys.getPrivate()).getX()\n  return formatReturnValue(out, enc, this.curveType.byteLength)\n}\n\nECDH.prototype.getPublicKey = function (enc, format) {\n  var key = this.keys.getPublic(format === 'compressed', true)\n  if (format === 'hybrid') {\n    if (key[key.length - 1] % 2) {\n      key[0] = 7\n    } else {\n      key[0] = 6\n    }\n  }\n  return formatReturnValue(key, enc)\n}\n\nECDH.prototype.getPrivateKey = function (enc) {\n  return formatReturnValue(this.keys.getPrivate(), enc)\n}\n\nECDH.prototype.setPublicKey = function (pub, enc) {\n  enc = enc || 'utf8'\n  if (!Buffer.isBuffer(pub)) {\n    pub = new Buffer(pub, enc)\n  }\n  this.keys._importPublic(pub)\n  return this\n}\n\nECDH.prototype.setPrivateKey = function (priv, enc) {\n  enc = enc || 'utf8'\n  if (!Buffer.isBuffer(priv)) {\n    priv = new Buffer(priv, enc)\n  }\n\n  var _priv = new BN(priv)\n  _priv = _priv.toString(16)\n  this.keys = this.curve.genKeyPair()\n  this.keys._importPrivate(_priv)\n  return this\n}\n\nfunction formatReturnValue (bn, enc, len) {\n  if (!Array.isArray(bn)) {\n    bn = bn.toArray()\n  }\n  var buf = new Buffer(bn)\n  if (len && buf.length < len) {\n    var zeros = new Buffer(len - buf.length)\n    zeros.fill(0)\n    buf = Buffer.concat([zeros, buf])\n  }\n  if (!enc) {\n    return buf\n  } else {\n    return buf.toString(enc)\n  }\n}\n","// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js\nvar BN = require('bn.js')\nvar EC = require('elliptic').ec\nvar parseKeys = require('parse-asn1')\nvar curves = require('./curves.json')\n\nfunction verify (sig, hash, key, signType, tag) {\n  var pub = parseKeys(key)\n  if (pub.type === 'ec') {\n    // rsa keys can be interpreted as ecdsa ones in openssl\n    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n    return ecVerify(sig, hash, pub)\n  } else if (pub.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong public key type')\n    return dsaVerify(sig, hash, pub)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = pub.modulus.byteLength()\n  var pad = [ 1 ]\n  var padNum = 0\n  while (hash.length + pad.length + 2 < len) {\n    pad.push(0xff)\n    padNum++\n  }\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) {\n    pad.push(hash[i])\n  }\n  pad = new Buffer(pad)\n  var red = BN.mont(pub.modulus)\n  sig = new BN(sig).toRed(red)\n\n  sig = sig.redPow(new BN(pub.publicExponent))\n  sig = new Buffer(sig.fromRed().toArray())\n  var out = padNum < 8 ? 1 : 0\n  len = Math.min(sig.length, pad.length)\n  if (sig.length !== pad.length) out = 1\n\n  i = -1\n  while (++i < len) out |= sig[i] ^ pad[i]\n  return out === 0\n}\n\nfunction ecVerify (sig, hash, pub) {\n  var curveId = curves[pub.data.algorithm.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + pub.data.algorithm.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var pubkey = pub.data.subjectPrivateKey.data\n\n  return curve.verify(hash, sig, pubkey)\n}\n\nfunction dsaVerify (sig, hash, pub) {\n  var p = pub.data.p\n  var q = pub.data.q\n  var g = pub.data.g\n  var y = pub.data.pub_key\n  var unpacked = parseKeys.signature.decode(sig, 'der')\n  var s = unpacked.s\n  var r = unpacked.r\n  checkValue(s, q)\n  checkValue(r, q)\n  var montp = BN.mont(p)\n  var w = s.invm(q)\n  var v = g.toRed(montp)\n    .redPow(new BN(hash).mul(w).mod(q))\n    .fromRed()\n    .mul(y.toRed(montp).redPow(r.mul(w).mod(q)).fromRed())\n    .mod(p)\n    .mod(q)\n  return v.cmp(r) === 0\n}\n\nfunction checkValue (b, q) {\n  if (b.cmpn(0) <= 0) throw new Error('invalid sig')\n  if (b.cmp(q) >= q) throw new Error('invalid sig')\n}\n\nmodule.exports = verify\n","// adapted from https://github.com/apatil/pemstrip\nvar findProc = /Proc-Type: 4,ENCRYPTED[\\n\\r]+DEK-Info: AES-((?:128)|(?:192)|(?:256))-CBC,([0-9A-H]+)[\\n\\r]+([0-9A-z\\n\\r\\+\\/\\=]+)[\\n\\r]+/m\nvar startRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----/m\nvar fullRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----([0-9A-z\\n\\r\\+\\/\\=]+)-----END \\1-----$/m\nvar evp = require('evp_bytestokey')\nvar ciphers = require('browserify-aes')\nmodule.exports = function (okey, password) {\n  var key = okey.toString()\n  var match = key.match(findProc)\n  var decrypted\n  if (!match) {\n    var match2 = key.match(fullRegex)\n    decrypted = new Buffer(match2[2].replace(/[\\r\\n]/g, ''), 'base64')\n  } else {\n    var suite = 'aes' + match[1]\n    var iv = new Buffer(match[2], 'hex')\n    var cipherText = new Buffer(match[3].replace(/[\\r\\n]/g, ''), 'base64')\n    var cipherKey = evp(password, iv.slice(0, 8), parseInt(match[1], 10)).key\n    var out = []\n    var cipher = ciphers.createDecipheriv(suite, cipherKey, iv)\n    out.push(cipher.update(cipherText))\n    out.push(cipher.final())\n    decrypted = Buffer.concat(out)\n  }\n  var tag = key.match(startRegex)[1]\n  return {\n    tag: tag,\n    data: decrypted\n  }\n}\n","// from https://github.com/Rantanen/node-dtls/blob/25a7dc861bda38cfeac93a723500eea4f0ac2e86/Certificate.js\n// thanks to @Rantanen\n\n'use strict'\n\nvar asn = require('asn1.js')\n\nvar Time = asn.define('Time', function () {\n  this.choice({\n    utcTime: this.utctime(),\n    generalTime: this.gentime()\n  })\n})\n\nvar AttributeTypeValue = asn.define('AttributeTypeValue', function () {\n  this.seq().obj(\n    this.key('type').objid(),\n    this.key('value').any()\n  )\n})\n\nvar AlgorithmIdentifier = asn.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('parameters').optional(),\n    this.key('curve').objid().optional()\n  )\n})\n\nvar SubjectPublicKeyInfo = asn.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\n\nvar RelativeDistinguishedName = asn.define('RelativeDistinguishedName', function () {\n  this.setof(AttributeTypeValue)\n})\n\nvar RDNSequence = asn.define('RDNSequence', function () {\n  this.seqof(RelativeDistinguishedName)\n})\n\nvar Name = asn.define('Name', function () {\n  this.choice({\n    rdnSequence: this.use(RDNSequence)\n  })\n})\n\nvar Validity = asn.define('Validity', function () {\n  this.seq().obj(\n    this.key('notBefore').use(Time),\n    this.key('notAfter').use(Time)\n  )\n})\n\nvar Extension = asn.define('Extension', function () {\n  this.seq().obj(\n    this.key('extnID').objid(),\n    this.key('critical').bool().def(false),\n    this.key('extnValue').octstr()\n  )\n})\n\nvar TBSCertificate = asn.define('TBSCertificate', function () {\n  this.seq().obj(\n    this.key('version').explicit(0).int().optional(),\n    this.key('serialNumber').int(),\n    this.key('signature').use(AlgorithmIdentifier),\n    this.key('issuer').use(Name),\n    this.key('validity').use(Validity),\n    this.key('subject').use(Name),\n    this.key('subjectPublicKeyInfo').use(SubjectPublicKeyInfo),\n    this.key('issuerUniqueID').implicit(1).bitstr().optional(),\n    this.key('subjectUniqueID').implicit(2).bitstr().optional(),\n    this.key('extensions').explicit(3).seqof(Extension).optional()\n  )\n})\n\nvar X509Certificate = asn.define('X509Certificate', function () {\n  this.seq().obj(\n    this.key('tbsCertificate').use(TBSCertificate),\n    this.key('signatureAlgorithm').use(AlgorithmIdentifier),\n    this.key('signatureValue').bitstr()\n  )\n})\n\nmodule.exports = X509Certificate\n","var inherits = require('inherits');\n\nvar DEREncoder = require('./der');\n\nfunction PEMEncoder(entity) {\n  DEREncoder.call(this, entity);\n  this.enc = 'pem';\n};\ninherits(PEMEncoder, DEREncoder);\nmodule.exports = PEMEncoder;\n\nPEMEncoder.prototype.encode = function encode(data, options) {\n  var buf = DEREncoder.prototype.encode.call(this, data);\n\n  var p = buf.toString('base64');\n  var out = [ '-----BEGIN ' + options.label + '-----' ];\n  for (var i = 0; i < p.length; i += 64)\n    out.push(p.slice(i, i + 64));\n  out.push('-----END ' + options.label + '-----');\n  return out.join('\\n');\n};\n","var encoders = exports;\n\nencoders.der = require('./der');\nencoders.pem = require('./pem');\n","var inherits = require('inherits');\nvar Buffer = require('buffer').Buffer;\n\nvar DERDecoder = require('./der');\n\nfunction PEMDecoder(entity) {\n  DERDecoder.call(this, entity);\n  this.enc = 'pem';\n};\ninherits(PEMDecoder, DERDecoder);\nmodule.exports = PEMDecoder;\n\nPEMDecoder.prototype.decode = function decode(data, options) {\n  var lines = data.toString().split(/[\\r\\n]+/g);\n\n  var label = options.label.toUpperCase();\n\n  var re = /^-----(BEGIN|END) ([^-]+)-----$/;\n  var start = -1;\n  var end = -1;\n  for (var i = 0; i < lines.length; i++) {\n    var match = lines[i].match(re);\n    if (match === null)\n      continue;\n\n    if (match[2] !== label)\n      continue;\n\n    if (start === -1) {\n      if (match[1] !== 'BEGIN')\n        break;\n      start = i;\n    } else {\n      if (match[1] !== 'END')\n        break;\n      end = i;\n      break;\n    }\n  }\n  if (start === -1 || end === -1)\n    throw new Error('PEM section not found for: ' + label);\n\n  var base64 = lines.slice(start + 1, end).join('');\n  // Remove excessive symbols\n  base64.replace(/[^a-z0-9\\+\\/=]+/gi, '');\n\n  var input = new Buffer(base64, 'base64');\n  return DERDecoder.prototype.decode.call(this, input, options);\n};\n","var decoders = exports;\n\ndecoders.der = require('./der');\ndecoders.pem = require('./pem');\n","var constants = require('../constants');\n\nexports.tagClass = {\n  0: 'universal',\n  1: 'application',\n  2: 'context',\n  3: 'private'\n};\nexports.tagClassByName = constants._reverse(exports.tagClass);\n\nexports.tag = {\n  0x00: 'end',\n  0x01: 'bool',\n  0x02: 'int',\n  0x03: 'bitstr',\n  0x04: 'octstr',\n  0x05: 'null_',\n  0x06: 'objid',\n  0x07: 'objDesc',\n  0x08: 'external',\n  0x09: 'real',\n  0x0a: 'enum',\n  0x0b: 'embed',\n  0x0c: 'utf8str',\n  0x0d: 'relativeOid',\n  0x10: 'seq',\n  0x11: 'set',\n  0x12: 'numstr',\n  0x13: 'printstr',\n  0x14: 't61str',\n  0x15: 'videostr',\n  0x16: 'ia5str',\n  0x17: 'utctime',\n  0x18: 'gentime',\n  0x19: 'graphstr',\n  0x1a: 'iso646str',\n  0x1b: 'genstr',\n  0x1c: 'unistr',\n  0x1d: 'charstr',\n  0x1e: 'bmpstr'\n};\nexports.tagByName = constants._reverse(exports.tag);\n","var Reporter = require('../base').Reporter;\nvar EncoderBuffer = require('../base').EncoderBuffer;\nvar DecoderBuffer = require('../base').DecoderBuffer;\nvar assert = require('minimalistic-assert');\n\n// Supported tags\nvar tags = [\n  'seq', 'seqof', 'set', 'setof', 'objid', 'bool',\n  'gentime', 'utctime', 'null_', 'enum', 'int', 'objDesc',\n  'bitstr', 'bmpstr', 'charstr', 'genstr', 'graphstr', 'ia5str', 'iso646str',\n  'numstr', 'octstr', 'printstr', 't61str', 'unistr', 'utf8str', 'videostr'\n];\n\n// Public methods list\nvar methods = [\n  'key', 'obj', 'use', 'optional', 'explicit', 'implicit', 'def', 'choice',\n  'any', 'contains'\n].concat(tags);\n\n// Overrided methods list\nvar overrided = [\n  '_peekTag', '_decodeTag', '_use',\n  '_decodeStr', '_decodeObjid', '_decodeTime',\n  '_decodeNull', '_decodeInt', '_decodeBool', '_decodeList',\n\n  '_encodeComposite', '_encodeStr', '_encodeObjid', '_encodeTime',\n  '_encodeNull', '_encodeInt', '_encodeBool'\n];\n\nfunction Node(enc, parent) {\n  var state = {};\n  this._baseState = state;\n\n  state.enc = enc;\n\n  state.parent = parent || null;\n  state.children = null;\n\n  // State\n  state.tag = null;\n  state.args = null;\n  state.reverseArgs = null;\n  state.choice = null;\n  state.optional = false;\n  state.any = false;\n  state.obj = false;\n  state.use = null;\n  state.useDecoder = null;\n  state.key = null;\n  state['default'] = null;\n  state.explicit = null;\n  state.implicit = null;\n  state.contains = null;\n\n  // Should create new instance on each method\n  if (!state.parent) {\n    state.children = [];\n    this._wrap();\n  }\n}\nmodule.exports = Node;\n\nvar stateProps = [\n  'enc', 'parent', 'children', 'tag', 'args', 'reverseArgs', 'choice',\n  'optional', 'any', 'obj', 'use', 'alteredUse', 'key', 'default', 'explicit',\n  'implicit', 'contains'\n];\n\nNode.prototype.clone = function clone() {\n  var state = this._baseState;\n  var cstate = {};\n  stateProps.forEach(function(prop) {\n    cstate[prop] = state[prop];\n  });\n  var res = new this.constructor(cstate.parent);\n  res._baseState = cstate;\n  return res;\n};\n\nNode.prototype._wrap = function wrap() {\n  var state = this._baseState;\n  methods.forEach(function(method) {\n    this[method] = function _wrappedMethod() {\n      var clone = new this.constructor(this);\n      state.children.push(clone);\n      return clone[method].apply(clone, arguments);\n    };\n  }, this);\n};\n\nNode.prototype._init = function init(body) {\n  var state = this._baseState;\n\n  assert(state.parent === null);\n  body.call(this);\n\n  // Filter children\n  state.children = state.children.filter(function(child) {\n    return child._baseState.parent === this;\n  }, this);\n  assert.equal(state.children.length, 1, 'Root node can have only one child');\n};\n\nNode.prototype._useArgs = function useArgs(args) {\n  var state = this._baseState;\n\n  // Filter children and args\n  var children = args.filter(function(arg) {\n    return arg instanceof this.constructor;\n  }, this);\n  args = args.filter(function(arg) {\n    return !(arg instanceof this.constructor);\n  }, this);\n\n  if (children.length !== 0) {\n    assert(state.children === null);\n    state.children = children;\n\n    // Replace parent to maintain backward link\n    children.forEach(function(child) {\n      child._baseState.parent = this;\n    }, this);\n  }\n  if (args.length !== 0) {\n    assert(state.args === null);\n    state.args = args;\n    state.reverseArgs = args.map(function(arg) {\n      if (typeof arg !== 'object' || arg.constructor !== Object)\n        return arg;\n\n      var res = {};\n      Object.keys(arg).forEach(function(key) {\n        if (key == (key | 0))\n          key |= 0;\n        var value = arg[key];\n        res[value] = key;\n      });\n      return res;\n    });\n  }\n};\n\n//\n// Overrided methods\n//\n\noverrided.forEach(function(method) {\n  Node.prototype[method] = function _overrided() {\n    var state = this._baseState;\n    throw new Error(method + ' not implemented for encoding: ' + state.enc);\n  };\n});\n\n//\n// Public methods\n//\n\ntags.forEach(function(tag) {\n  Node.prototype[tag] = function _tagMethod() {\n    var state = this._baseState;\n    var args = Array.prototype.slice.call(arguments);\n\n    assert(state.tag === null);\n    state.tag = tag;\n\n    this._useArgs(args);\n\n    return this;\n  };\n});\n\nNode.prototype.use = function use(item) {\n  assert(item);\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.use = item;\n\n  return this;\n};\n\nNode.prototype.optional = function optional() {\n  var state = this._baseState;\n\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.def = function def(val) {\n  var state = this._baseState;\n\n  assert(state['default'] === null);\n  state['default'] = val;\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.explicit = function explicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.explicit = num;\n\n  return this;\n};\n\nNode.prototype.implicit = function implicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.implicit = num;\n\n  return this;\n};\n\nNode.prototype.obj = function obj() {\n  var state = this._baseState;\n  var args = Array.prototype.slice.call(arguments);\n\n  state.obj = true;\n\n  if (args.length !== 0)\n    this._useArgs(args);\n\n  return this;\n};\n\nNode.prototype.key = function key(newKey) {\n  var state = this._baseState;\n\n  assert(state.key === null);\n  state.key = newKey;\n\n  return this;\n};\n\nNode.prototype.any = function any() {\n  var state = this._baseState;\n\n  state.any = true;\n\n  return this;\n};\n\nNode.prototype.choice = function choice(obj) {\n  var state = this._baseState;\n\n  assert(state.choice === null);\n  state.choice = obj;\n  this._useArgs(Object.keys(obj).map(function(key) {\n    return obj[key];\n  }));\n\n  return this;\n};\n\nNode.prototype.contains = function contains(item) {\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.contains = item;\n\n  return this;\n};\n\n//\n// Decoding\n//\n\nNode.prototype._decode = function decode(input, options) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return input.wrapResult(state.children[0]._decode(input, options));\n\n  var result = state['default'];\n  var present = true;\n\n  var prevKey = null;\n  if (state.key !== null)\n    prevKey = input.enterKey(state.key);\n\n  // Check if tag is there\n  if (state.optional) {\n    var tag = null;\n    if (state.explicit !== null)\n      tag = state.explicit;\n    else if (state.implicit !== null)\n      tag = state.implicit;\n    else if (state.tag !== null)\n      tag = state.tag;\n\n    if (tag === null && !state.any) {\n      // Trial and Error\n      var save = input.save();\n      try {\n        if (state.choice === null)\n          this._decodeGeneric(state.tag, input, options);\n        else\n          this._decodeChoice(input, options);\n        present = true;\n      } catch (e) {\n        present = false;\n      }\n      input.restore(save);\n    } else {\n      present = this._peekTag(input, tag, state.any);\n\n      if (input.isError(present))\n        return present;\n    }\n  }\n\n  // Push object on stack\n  var prevObj;\n  if (state.obj && present)\n    prevObj = input.enterObject();\n\n  if (present) {\n    // Unwrap explicit values\n    if (state.explicit !== null) {\n      var explicit = this._decodeTag(input, state.explicit);\n      if (input.isError(explicit))\n        return explicit;\n      input = explicit;\n    }\n\n    var start = input.offset;\n\n    // Unwrap implicit and normal values\n    if (state.use === null && state.choice === null) {\n      if (state.any)\n        var save = input.save();\n      var body = this._decodeTag(\n        input,\n        state.implicit !== null ? state.implicit : state.tag,\n        state.any\n      );\n      if (input.isError(body))\n        return body;\n\n      if (state.any)\n        result = input.raw(save);\n      else\n        input = body;\n    }\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), start, input.length, 'tagged');\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), input.offset, input.length, 'content');\n\n    // Select proper method for tag\n    if (state.any)\n      result = result;\n    else if (state.choice === null)\n      result = this._decodeGeneric(state.tag, input, options);\n    else\n      result = this._decodeChoice(input, options);\n\n    if (input.isError(result))\n      return result;\n\n    // Decode children\n    if (!state.any && state.choice === null && state.children !== null) {\n      state.children.forEach(function decodeChildren(child) {\n        // NOTE: We are ignoring errors here, to let parser continue with other\n        // parts of encoded data\n        child._decode(input, options);\n      });\n    }\n\n    // Decode contained/encoded by schema, only in bit or octet strings\n    if (state.contains && (state.tag === 'octstr' || state.tag === 'bitstr')) {\n      var data = new DecoderBuffer(result);\n      result = this._getUse(state.contains, input._reporterState.obj)\n          ._decode(data, options);\n    }\n  }\n\n  // Pop object\n  if (state.obj && present)\n    result = input.leaveObject(prevObj);\n\n  // Set key\n  if (state.key !== null && (result !== null || present === true))\n    input.leaveKey(prevKey, state.key, result);\n  else if (prevKey !== null)\n    input.exitKey(prevKey);\n\n  return result;\n};\n\nNode.prototype._decodeGeneric = function decodeGeneric(tag, input, options) {\n  var state = this._baseState;\n\n  if (tag === 'seq' || tag === 'set')\n    return null;\n  if (tag === 'seqof' || tag === 'setof')\n    return this._decodeList(input, tag, state.args[0], options);\n  else if (/str$/.test(tag))\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'objid' && state.args)\n    return this._decodeObjid(input, state.args[0], state.args[1], options);\n  else if (tag === 'objid')\n    return this._decodeObjid(input, null, null, options);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._decodeTime(input, tag, options);\n  else if (tag === 'null_')\n    return this._decodeNull(input, options);\n  else if (tag === 'bool')\n    return this._decodeBool(input, options);\n  else if (tag === 'objDesc')\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'int' || tag === 'enum')\n    return this._decodeInt(input, state.args && state.args[0], options);\n\n  if (state.use !== null) {\n    return this._getUse(state.use, input._reporterState.obj)\n        ._decode(input, options);\n  } else {\n    return input.error('unknown tag: ' + tag);\n  }\n};\n\nNode.prototype._getUse = function _getUse(entity, obj) {\n\n  var state = this._baseState;\n  // Create altered use decoder if implicit is set\n  state.useDecoder = this._use(entity, obj);\n  assert(state.useDecoder._baseState.parent === null);\n  state.useDecoder = state.useDecoder._baseState.children[0];\n  if (state.implicit !== state.useDecoder._baseState.implicit) {\n    state.useDecoder = state.useDecoder.clone();\n    state.useDecoder._baseState.implicit = state.implicit;\n  }\n  return state.useDecoder;\n};\n\nNode.prototype._decodeChoice = function decodeChoice(input, options) {\n  var state = this._baseState;\n  var result = null;\n  var match = false;\n\n  Object.keys(state.choice).some(function(key) {\n    var save = input.save();\n    var node = state.choice[key];\n    try {\n      var value = node._decode(input, options);\n      if (input.isError(value))\n        return false;\n\n      result = { type: key, value: value };\n      match = true;\n    } catch (e) {\n      input.restore(save);\n      return false;\n    }\n    return true;\n  }, this);\n\n  if (!match)\n    return input.error('Choice not matched');\n\n  return result;\n};\n\n//\n// Encoding\n//\n\nNode.prototype._createEncoderBuffer = function createEncoderBuffer(data) {\n  return new EncoderBuffer(data, this.reporter);\n};\n\nNode.prototype._encode = function encode(data, reporter, parent) {\n  var state = this._baseState;\n  if (state['default'] !== null && state['default'] === data)\n    return;\n\n  var result = this._encodeValue(data, reporter, parent);\n  if (result === undefined)\n    return;\n\n  if (this._skipDefault(result, reporter, parent))\n    return;\n\n  return result;\n};\n\nNode.prototype._encodeValue = function encode(data, reporter, parent) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return state.children[0]._encode(data, reporter || new Reporter());\n\n  var result = null;\n\n  // Set reporter to share it with a child class\n  this.reporter = reporter;\n\n  // Check if data is there\n  if (state.optional && data === undefined) {\n    if (state['default'] !== null)\n      data = state['default']\n    else\n      return;\n  }\n\n  // Encode children first\n  var content = null;\n  var primitive = false;\n  if (state.any) {\n    // Anything that was given is translated to buffer\n    result = this._createEncoderBuffer(data);\n  } else if (state.choice) {\n    result = this._encodeChoice(data, reporter);\n  } else if (state.contains) {\n    content = this._getUse(state.contains, parent)._encode(data, reporter);\n    primitive = true;\n  } else if (state.children) {\n    content = state.children.map(function(child) {\n      if (child._baseState.tag === 'null_')\n        return child._encode(null, reporter, data);\n\n      if (child._baseState.key === null)\n        return reporter.error('Child should have a key');\n      var prevKey = reporter.enterKey(child._baseState.key);\n\n      if (typeof data !== 'object')\n        return reporter.error('Child expected, but input is not object');\n\n      var res = child._encode(data[child._baseState.key], reporter, data);\n      reporter.leaveKey(prevKey);\n\n      return res;\n    }, this).filter(function(child) {\n      return child;\n    });\n    content = this._createEncoderBuffer(content);\n  } else {\n    if (state.tag === 'seqof' || state.tag === 'setof') {\n      // TODO(indutny): this should be thrown on DSL level\n      if (!(state.args && state.args.length === 1))\n        return reporter.error('Too many args for : ' + state.tag);\n\n      if (!Array.isArray(data))\n        return reporter.error('seqof/setof, but data is not Array');\n\n      var child = this.clone();\n      child._baseState.implicit = null;\n      content = this._createEncoderBuffer(data.map(function(item) {\n        var state = this._baseState;\n\n        return this._getUse(state.args[0], data)._encode(item, reporter);\n      }, child));\n    } else if (state.use !== null) {\n      result = this._getUse(state.use, parent)._encode(data, reporter);\n    } else {\n      content = this._encodePrimitive(state.tag, data);\n      primitive = true;\n    }\n  }\n\n  // Encode data itself\n  var result;\n  if (!state.any && state.choice === null) {\n    var tag = state.implicit !== null ? state.implicit : state.tag;\n    var cls = state.implicit === null ? 'universal' : 'context';\n\n    if (tag === null) {\n      if (state.use === null)\n        reporter.error('Tag could be omitted only for .use()');\n    } else {\n      if (state.use === null)\n        result = this._encodeComposite(tag, primitive, cls, content);\n    }\n  }\n\n  // Wrap in explicit\n  if (state.explicit !== null)\n    result = this._encodeComposite(state.explicit, false, 'context', result);\n\n  return result;\n};\n\nNode.prototype._encodeChoice = function encodeChoice(data, reporter) {\n  var state = this._baseState;\n\n  var node = state.choice[data.type];\n  if (!node) {\n    assert(\n        false,\n        data.type + ' not found in ' +\n            JSON.stringify(Object.keys(state.choice)));\n  }\n  return node._encode(data.value, reporter);\n};\n\nNode.prototype._encodePrimitive = function encodePrimitive(tag, data) {\n  var state = this._baseState;\n\n  if (/str$/.test(tag))\n    return this._encodeStr(data, tag);\n  else if (tag === 'objid' && state.args)\n    return this._encodeObjid(data, state.reverseArgs[0], state.args[1]);\n  else if (tag === 'objid')\n    return this._encodeObjid(data, null, null);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._encodeTime(data, tag);\n  else if (tag === 'null_')\n    return this._encodeNull();\n  else if (tag === 'int' || tag === 'enum')\n    return this._encodeInt(data, state.args && state.reverseArgs[0]);\n  else if (tag === 'bool')\n    return this._encodeBool(data);\n  else if (tag === 'objDesc')\n    return this._encodeStr(data, tag);\n  else\n    throw new Error('Unsupported tag: ' + tag);\n};\n\nNode.prototype._isNumstr = function isNumstr(str) {\n  return /^[0-9 ]*$/.test(str);\n};\n\nNode.prototype._isPrintstr = function isPrintstr(str) {\n  return /^[A-Za-z0-9 '\\(\\)\\+,\\-\\.\\/:=\\?]*$/.test(str);\n};\n","var inherits = require('inherits');\n\nfunction Reporter(options) {\n  this._reporterState = {\n    obj: null,\n    path: [],\n    options: options || {},\n    errors: []\n  };\n}\nexports.Reporter = Reporter;\n\nReporter.prototype.isError = function isError(obj) {\n  return obj instanceof ReporterError;\n};\n\nReporter.prototype.save = function save() {\n  var state = this._reporterState;\n\n  return { obj: state.obj, pathLen: state.path.length };\n};\n\nReporter.prototype.restore = function restore(data) {\n  var state = this._reporterState;\n\n  state.obj = data.obj;\n  state.path = state.path.slice(0, data.pathLen);\n};\n\nReporter.prototype.enterKey = function enterKey(key) {\n  return this._reporterState.path.push(key);\n};\n\nReporter.prototype.exitKey = function exitKey(index) {\n  var state = this._reporterState;\n\n  state.path = state.path.slice(0, index - 1);\n};\n\nReporter.prototype.leaveKey = function leaveKey(index, key, value) {\n  var state = this._reporterState;\n\n  this.exitKey(index);\n  if (state.obj !== null)\n    state.obj[key] = value;\n};\n\nReporter.prototype.path = function path() {\n  return this._reporterState.path.join('/');\n};\n\nReporter.prototype.enterObject = function enterObject() {\n  var state = this._reporterState;\n\n  var prev = state.obj;\n  state.obj = {};\n  return prev;\n};\n\nReporter.prototype.leaveObject = function leaveObject(prev) {\n  var state = this._reporterState;\n\n  var now = state.obj;\n  state.obj = prev;\n  return now;\n};\n\nReporter.prototype.error = function error(msg) {\n  var err;\n  var state = this._reporterState;\n\n  var inherited = msg instanceof ReporterError;\n  if (inherited) {\n    err = msg;\n  } else {\n    err = new ReporterError(state.path.map(function(elem) {\n      return '[' + JSON.stringify(elem) + ']';\n    }).join(''), msg.message || msg, msg.stack);\n  }\n\n  if (!state.options.partial)\n    throw err;\n\n  if (!inherited)\n    state.errors.push(err);\n\n  return err;\n};\n\nReporter.prototype.wrapResult = function wrapResult(result) {\n  var state = this._reporterState;\n  if (!state.options.partial)\n    return result;\n\n  return {\n    result: this.isError(result) ? null : result,\n    errors: state.errors\n  };\n};\n\nfunction ReporterError(path, msg) {\n  this.path = path;\n  this.rethrow(msg);\n};\ninherits(ReporterError, Error);\n\nReporterError.prototype.rethrow = function rethrow(msg) {\n  this.message = msg + ' at: ' + (this.path || '(shallow)');\n  if (Error.captureStackTrace)\n    Error.captureStackTrace(this, ReporterError);\n\n  if (!this.stack) {\n    try {\n      // IE only adds stack when thrown\n      throw new Error(this.message);\n    } catch (e) {\n      this.stack = e.stack;\n    }\n  }\n  return this;\n};\n","\nvar indexOf = [].indexOf;\n\nmodule.exports = function(arr, obj){\n  if (indexOf) return arr.indexOf(obj);\n  for (var i = 0; i < arr.length; ++i) {\n    if (arr[i] === obj) return i;\n  }\n  return -1;\n};","var indexOf = require('indexof');\n\nvar Object_keys = function (obj) {\n    if (Object.keys) return Object.keys(obj)\n    else {\n        var res = [];\n        for (var key in obj) res.push(key)\n        return res;\n    }\n};\n\nvar forEach = function (xs, fn) {\n    if (xs.forEach) return xs.forEach(fn)\n    else for (var i = 0; i < xs.length; i++) {\n        fn(xs[i], i, xs);\n    }\n};\n\nvar defineProp = (function() {\n    try {\n        Object.defineProperty({}, '_', {});\n        return function(obj, name, value) {\n            Object.defineProperty(obj, name, {\n                writable: true,\n                enumerable: false,\n                configurable: true,\n                value: value\n            })\n        };\n    } catch(e) {\n        return function(obj, name, value) {\n            obj[name] = value;\n        };\n    }\n}());\n\nvar globals = ['Array', 'Boolean', 'Date', 'Error', 'EvalError', 'Function',\n'Infinity', 'JSON', 'Math', 'NaN', 'Number', 'Object', 'RangeError',\n'ReferenceError', 'RegExp', 'String', 'SyntaxError', 'TypeError', 'URIError',\n'decodeURI', 'decodeURIComponent', 'encodeURI', 'encodeURIComponent', 'escape',\n'eval', 'isFinite', 'isNaN', 'parseFloat', 'parseInt', 'undefined', 'unescape'];\n\nfunction Context() {}\nContext.prototype = {};\n\nvar Script = exports.Script = function NodeScript (code) {\n    if (!(this instanceof Script)) return new Script(code);\n    this.code = code;\n};\n\nScript.prototype.runInContext = function (context) {\n    if (!(context instanceof Context)) {\n        throw new TypeError(\"needs a 'context' argument.\");\n    }\n    \n    var iframe = document.createElement('iframe');\n    if (!iframe.style) iframe.style = {};\n    iframe.style.display = 'none';\n    \n    document.body.appendChild(iframe);\n    \n    var win = iframe.contentWindow;\n    var wEval = win.eval, wExecScript = win.execScript;\n\n    if (!wEval && wExecScript) {\n        // win.eval() magically appears when this is called in IE:\n        wExecScript.call(win, 'null');\n        wEval = win.eval;\n    }\n    \n    forEach(Object_keys(context), function (key) {\n        win[key] = context[key];\n    });\n    forEach(globals, function (key) {\n        if (context[key]) {\n            win[key] = context[key];\n        }\n    });\n    \n    var winKeys = Object_keys(win);\n\n    var res = wEval.call(win, this.code);\n    \n    forEach(Object_keys(win), function (key) {\n        // Avoid copying circular objects like `top` and `window` by only\n        // updating existing context properties or new properties in the `win`\n        // that was only introduced after the eval.\n        if (key in context || indexOf(winKeys, key) === -1) {\n            context[key] = win[key];\n        }\n    });\n\n    forEach(globals, function (key) {\n        if (!(key in context)) {\n            defineProp(context, key, win[key]);\n        }\n    });\n    \n    document.body.removeChild(iframe);\n    \n    return res;\n};\n\nScript.prototype.runInThisContext = function () {\n    return eval(this.code); // maybe...\n};\n\nScript.prototype.runInNewContext = function (context) {\n    var ctx = Script.createContext(context);\n    var res = this.runInContext(ctx);\n\n    forEach(Object_keys(ctx), function (key) {\n        context[key] = ctx[key];\n    });\n\n    return res;\n};\n\nforEach(Object_keys(Script.prototype), function (name) {\n    exports[name] = Script[name] = function (code) {\n        var s = Script(code);\n        return s[name].apply(s, [].slice.call(arguments, 1));\n    };\n});\n\nexports.createScript = function (code) {\n    return exports.Script(code);\n};\n\nexports.createContext = Script.createContext = function (context) {\n    var copy = new Context();\n    if(typeof context === 'object') {\n        forEach(Object_keys(context), function (key) {\n            copy[key] = context[key];\n        });\n    }\n    return copy;\n};\n","var asn1 = require('../asn1');\nvar inherits = require('inherits');\n\nvar api = exports;\n\napi.define = function define(name, body) {\n  return new Entity(name, body);\n};\n\nfunction Entity(name, body) {\n  this.name = name;\n  this.body = body;\n\n  this.decoders = {};\n  this.encoders = {};\n};\n\nEntity.prototype._createNamed = function createNamed(base) {\n  var named;\n  try {\n    named = require('vm').runInThisContext(\n      '(function ' + this.name + '(entity) {\\n' +\n      '  this._initNamed(entity);\\n' +\n      '})'\n    );\n  } catch (e) {\n    named = function (entity) {\n      this._initNamed(entity);\n    };\n  }\n  inherits(named, base);\n  named.prototype._initNamed = function initnamed(entity) {\n    base.call(this, entity);\n  };\n\n  return new named(this);\n};\n\nEntity.prototype._getDecoder = function _getDecoder(enc) {\n  enc = enc || 'der';\n  // Lazily create decoder\n  if (!this.decoders.hasOwnProperty(enc))\n    this.decoders[enc] = this._createNamed(asn1.decoders[enc]);\n  return this.decoders[enc];\n};\n\nEntity.prototype.decode = function decode(data, enc, options) {\n  return this._getDecoder(enc).decode(data, options);\n};\n\nEntity.prototype._getEncoder = function _getEncoder(enc) {\n  enc = enc || 'der';\n  // Lazily create encoder\n  if (!this.encoders.hasOwnProperty(enc))\n    this.encoders[enc] = this._createNamed(asn1.encoders[enc]);\n  return this.encoders[enc];\n};\n\nEntity.prototype.encode = function encode(data, enc, /* internal */ reporter) {\n  return this._getEncoder(enc).encode(data, reporter);\n};\n","// from https://github.com/indutny/self-signed/blob/gh-pages/lib/asn1.js\n// Fedor, you are amazing.\n'use strict'\n\nvar asn1 = require('asn1.js')\n\nexports.certificate = require('./certificate')\n\nvar RSAPrivateKey = asn1.define('RSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('modulus').int(),\n    this.key('publicExponent').int(),\n    this.key('privateExponent').int(),\n    this.key('prime1').int(),\n    this.key('prime2').int(),\n    this.key('exponent1').int(),\n    this.key('exponent2').int(),\n    this.key('coefficient').int()\n  )\n})\nexports.RSAPrivateKey = RSAPrivateKey\n\nvar RSAPublicKey = asn1.define('RSAPublicKey', function () {\n  this.seq().obj(\n    this.key('modulus').int(),\n    this.key('publicExponent').int()\n  )\n})\nexports.RSAPublicKey = RSAPublicKey\n\nvar PublicKey = asn1.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\nexports.PublicKey = PublicKey\n\nvar AlgorithmIdentifier = asn1.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('none').null_().optional(),\n    this.key('curve').objid().optional(),\n    this.key('params').seq().obj(\n      this.key('p').int(),\n      this.key('q').int(),\n      this.key('g').int()\n    ).optional()\n  )\n})\n\nvar PrivateKeyInfo = asn1.define('PrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\nexports.PrivateKey = PrivateKeyInfo\nvar EncryptedPrivateKeyInfo = asn1.define('EncryptedPrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').seq().obj(\n      this.key('id').objid(),\n      this.key('decrypt').seq().obj(\n        this.key('kde').seq().obj(\n          this.key('id').objid(),\n          this.key('kdeparams').seq().obj(\n            this.key('salt').octstr(),\n            this.key('iters').int()\n          )\n        ),\n        this.key('cipher').seq().obj(\n          this.key('algo').objid(),\n          this.key('iv').octstr()\n        )\n      )\n    ),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\n\nexports.EncryptedPrivateKey = EncryptedPrivateKeyInfo\n\nvar DSAPrivateKey = asn1.define('DSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('p').int(),\n    this.key('q').int(),\n    this.key('g').int(),\n    this.key('pub_key').int(),\n    this.key('priv_key').int()\n  )\n})\nexports.DSAPrivateKey = DSAPrivateKey\n\nexports.DSAparam = asn1.define('DSAparam', function () {\n  this.int()\n})\n\nvar ECPrivateKey = asn1.define('ECPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('privateKey').octstr(),\n    this.key('parameters').optional().explicit(0).use(ECParameters),\n    this.key('publicKey').optional().explicit(1).bitstr()\n  )\n})\nexports.ECPrivateKey = ECPrivateKey\n\nvar ECParameters = asn1.define('ECParameters', function () {\n  this.choice({\n    namedCurve: this.objid()\n  })\n})\n\nexports.signature = asn1.define('signature', function () {\n  this.seq().obj(\n    this.key('r').int(),\n    this.key('s').int()\n  )\n})\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar cachedProperty = utils.cachedProperty;\nvar parseBytes = utils.parseBytes;\n\n/**\n* @param {EDDSA} eddsa - eddsa instance\n* @param {Array<Bytes>|Object} sig -\n* @param {Array<Bytes>|Point} [sig.R] - R point as Point or bytes\n* @param {Array<Bytes>|bn} [sig.S] - S scalar as bn or bytes\n* @param {Array<Bytes>} [sig.Rencoded] - R point encoded\n* @param {Array<Bytes>} [sig.Sencoded] - S scalar encoded\n*/\nfunction Signature(eddsa, sig) {\n  this.eddsa = eddsa;\n\n  if (typeof sig !== 'object')\n    sig = parseBytes(sig);\n\n  if (Array.isArray(sig)) {\n    sig = {\n      R: sig.slice(0, eddsa.encodingLength),\n      S: sig.slice(eddsa.encodingLength)\n    };\n  }\n\n  assert(sig.R && sig.S, 'Signature without R or S');\n\n  if (eddsa.isPoint(sig.R))\n    this._R = sig.R;\n  if (sig.S instanceof BN)\n    this._S = sig.S;\n\n  this._Rencoded = Array.isArray(sig.R) ? sig.R : sig.Rencoded;\n  this._Sencoded = Array.isArray(sig.S) ? sig.S : sig.Sencoded;\n}\n\ncachedProperty(Signature, 'S', function S() {\n  return this.eddsa.decodeInt(this.Sencoded());\n});\n\ncachedProperty(Signature, 'R', function R() {\n  return this.eddsa.decodePoint(this.Rencoded());\n});\n\ncachedProperty(Signature, 'Rencoded', function Rencoded() {\n  return this.eddsa.encodePoint(this.R());\n});\n\ncachedProperty(Signature, 'Sencoded', function Sencoded() {\n  return this.eddsa.encodeInt(this.S());\n});\n\nSignature.prototype.toBytes = function toBytes() {\n  return this.Rencoded().concat(this.Sencoded());\n};\n\nSignature.prototype.toHex = function toHex() {\n  return utils.encode(this.toBytes(), 'hex').toUpperCase();\n};\n\nmodule.exports = Signature;\n","'use strict';\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar parseBytes = utils.parseBytes;\nvar cachedProperty = utils.cachedProperty;\n\n/**\n* @param {EDDSA} eddsa - instance\n* @param {Object} params - public/private key parameters\n*\n* @param {Array<Byte>} [params.secret] - secret seed bytes\n* @param {Point} [params.pub] - public key point (aka `A` in eddsa terms)\n* @param {Array<Byte>} [params.pub] - public key point encoded as bytes\n*\n*/\nfunction KeyPair(eddsa, params) {\n  this.eddsa = eddsa;\n  this._secret = parseBytes(params.secret);\n  if (eddsa.isPoint(params.pub))\n    this._pub = params.pub;\n  else\n    this._pubBytes = parseBytes(params.pub);\n}\n\nKeyPair.fromPublic = function fromPublic(eddsa, pub) {\n  if (pub instanceof KeyPair)\n    return pub;\n  return new KeyPair(eddsa, { pub: pub });\n};\n\nKeyPair.fromSecret = function fromSecret(eddsa, secret) {\n  if (secret instanceof KeyPair)\n    return secret;\n  return new KeyPair(eddsa, { secret: secret });\n};\n\nKeyPair.prototype.secret = function secret() {\n  return this._secret;\n};\n\ncachedProperty(KeyPair, 'pubBytes', function pubBytes() {\n  return this.eddsa.encodePoint(this.pub());\n});\n\ncachedProperty(KeyPair, 'pub', function pub() {\n  if (this._pubBytes)\n    return this.eddsa.decodePoint(this._pubBytes);\n  return this.eddsa.g.mul(this.priv());\n});\n\ncachedProperty(KeyPair, 'privBytes', function privBytes() {\n  var eddsa = this.eddsa;\n  var hash = this.hash();\n  var lastIx = eddsa.encodingLength - 1;\n\n  var a = hash.slice(0, eddsa.encodingLength);\n  a[0] &= 248;\n  a[lastIx] &= 127;\n  a[lastIx] |= 64;\n\n  return a;\n});\n\ncachedProperty(KeyPair, 'priv', function priv() {\n  return this.eddsa.decodeInt(this.privBytes());\n});\n\ncachedProperty(KeyPair, 'hash', function hash() {\n  return this.eddsa.hash().update(this.secret()).digest();\n});\n\ncachedProperty(KeyPair, 'messagePrefix', function messagePrefix() {\n  return this.hash().slice(this.eddsa.encodingLength);\n});\n\nKeyPair.prototype.sign = function sign(message) {\n  assert(this._secret, 'KeyPair can only verify');\n  return this.eddsa.sign(message, this);\n};\n\nKeyPair.prototype.verify = function verify(message, sig) {\n  return this.eddsa.verify(message, sig, this);\n};\n\nKeyPair.prototype.getSecret = function getSecret(enc) {\n  assert(this._secret, 'KeyPair is public only');\n  return utils.encode(this.secret(), enc);\n};\n\nKeyPair.prototype.getPublic = function getPublic(enc) {\n  return utils.encode(this.pubBytes(), enc);\n};\n\nmodule.exports = KeyPair;\n","'use strict';\n\nvar hash = require('hash.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar parseBytes = utils.parseBytes;\nvar KeyPair = require('./key');\nvar Signature = require('./signature');\n\nfunction EDDSA(curve) {\n  assert(curve === 'ed25519', 'only tested with ed25519 so far');\n\n  if (!(this instanceof EDDSA))\n    return new EDDSA(curve);\n\n  var curve = elliptic.curves[curve].curve;\n  this.curve = curve;\n  this.g = curve.g;\n  this.g.precompute(curve.n.bitLength() + 1);\n\n  this.pointClass = curve.point().constructor;\n  this.encodingLength = Math.ceil(curve.n.bitLength() / 8);\n  this.hash = hash.sha512;\n}\n\nmodule.exports = EDDSA;\n\n/**\n* @param {Array|String} message - message bytes\n* @param {Array|String|KeyPair} secret - secret bytes or a keypair\n* @returns {Signature} - signature\n*/\nEDDSA.prototype.sign = function sign(message, secret) {\n  message = parseBytes(message);\n  var key = this.keyFromSecret(secret);\n  var r = this.hashInt(key.messagePrefix(), message);\n  var R = this.g.mul(r);\n  var Rencoded = this.encodePoint(R);\n  var s_ = this.hashInt(Rencoded, key.pubBytes(), message)\n               .mul(key.priv());\n  var S = r.add(s_).umod(this.curve.n);\n  return this.makeSignature({ R: R, S: S, Rencoded: Rencoded });\n};\n\n/**\n* @param {Array} message - message bytes\n* @param {Array|String|Signature} sig - sig bytes\n* @param {Array|String|Point|KeyPair} pub - public key\n* @returns {Boolean} - true if public key matches sig of message\n*/\nEDDSA.prototype.verify = function verify(message, sig, pub) {\n  message = parseBytes(message);\n  sig = this.makeSignature(sig);\n  var key = this.keyFromPublic(pub);\n  var h = this.hashInt(sig.Rencoded(), key.pubBytes(), message);\n  var SG = this.g.mul(sig.S());\n  var RplusAh = sig.R().add(key.pub().mul(h));\n  return RplusAh.eq(SG);\n};\n\nEDDSA.prototype.hashInt = function hashInt() {\n  var hash = this.hash();\n  for (var i = 0; i < arguments.length; i++)\n    hash.update(arguments[i]);\n  return utils.intFromLE(hash.digest()).umod(this.curve.n);\n};\n\nEDDSA.prototype.keyFromPublic = function keyFromPublic(pub) {\n  return KeyPair.fromPublic(this, pub);\n};\n\nEDDSA.prototype.keyFromSecret = function keyFromSecret(secret) {\n  return KeyPair.fromSecret(this, secret);\n};\n\nEDDSA.prototype.makeSignature = function makeSignature(sig) {\n  if (sig instanceof Signature)\n    return sig;\n  return new Signature(this, sig);\n};\n\n/**\n* * https://tools.ietf.org/html/draft-josefsson-eddsa-ed25519-03#section-5.2\n*\n* EDDSA defines methods for encoding and decoding points and integers. These are\n* helper convenience methods, that pass along to utility functions implied\n* parameters.\n*\n*/\nEDDSA.prototype.encodePoint = function encodePoint(point) {\n  var enc = point.getY().toArray('le', this.encodingLength);\n  enc[this.encodingLength - 1] |= point.getX().isOdd() ? 0x80 : 0;\n  return enc;\n};\n\nEDDSA.prototype.decodePoint = function decodePoint(bytes) {\n  bytes = utils.parseBytes(bytes);\n\n  var lastIx = bytes.length - 1;\n  var normed = bytes.slice(0, lastIx).concat(bytes[lastIx] & ~0x80);\n  var xIsOdd = (bytes[lastIx] & 0x80) !== 0;\n\n  var y = utils.intFromLE(normed);\n  return this.curve.pointFromY(y, xIsOdd);\n};\n\nEDDSA.prototype.encodeInt = function encodeInt(num) {\n  return num.toArray('le', this.encodingLength);\n};\n\nEDDSA.prototype.decodeInt = function decodeInt(bytes) {\n  return utils.intFromLE(bytes);\n};\n\nEDDSA.prototype.isPoint = function isPoint(val) {\n  return val instanceof this.pointClass;\n};\n","'use strict';\n\nvar BN = require('bn.js');\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nfunction Signature(options, enc) {\n  if (options instanceof Signature)\n    return options;\n\n  if (this._importDER(options, enc))\n    return;\n\n  assert(options.r && options.s, 'Signature without r or s');\n  this.r = new BN(options.r, 16);\n  this.s = new BN(options.s, 16);\n  if (options.recoveryParam === undefined)\n    this.recoveryParam = null;\n  else\n    this.recoveryParam = options.recoveryParam;\n}\nmodule.exports = Signature;\n\nfunction Position() {\n  this.place = 0;\n}\n\nfunction getLength(buf, p) {\n  var initial = buf[p.place++];\n  if (!(initial & 0x80)) {\n    return initial;\n  }\n  var octetLen = initial & 0xf;\n  var val = 0;\n  for (var i = 0, off = p.place; i < octetLen; i++, off++) {\n    val <<= 8;\n    val |= buf[off];\n  }\n  p.place = off;\n  return val;\n}\n\nfunction rmPadding(buf) {\n  var i = 0;\n  var len = buf.length - 1;\n  while (!buf[i] && !(buf[i + 1] & 0x80) && i < len) {\n    i++;\n  }\n  if (i === 0) {\n    return buf;\n  }\n  return buf.slice(i);\n}\n\nSignature.prototype._importDER = function _importDER(data, enc) {\n  data = utils.toArray(data, enc);\n  var p = new Position();\n  if (data[p.place++] !== 0x30) {\n    return false;\n  }\n  var len = getLength(data, p);\n  if ((len + p.place) !== data.length) {\n    return false;\n  }\n  if (data[p.place++] !== 0x02) {\n    return false;\n  }\n  var rlen = getLength(data, p);\n  var r = data.slice(p.place, rlen + p.place);\n  p.place += rlen;\n  if (data[p.place++] !== 0x02) {\n    return false;\n  }\n  var slen = getLength(data, p);\n  if (data.length !== slen + p.place) {\n    return false;\n  }\n  var s = data.slice(p.place, slen + p.place);\n  if (r[0] === 0 && (r[1] & 0x80)) {\n    r = r.slice(1);\n  }\n  if (s[0] === 0 && (s[1] & 0x80)) {\n    s = s.slice(1);\n  }\n\n  this.r = new BN(r);\n  this.s = new BN(s);\n  this.recoveryParam = null;\n\n  return true;\n};\n\nfunction constructLength(arr, len) {\n  if (len < 0x80) {\n    arr.push(len);\n    return;\n  }\n  var octets = 1 + (Math.log(len) / Math.LN2 >>> 3);\n  arr.push(octets | 0x80);\n  while (--octets) {\n    arr.push((len >>> (octets << 3)) & 0xff);\n  }\n  arr.push(len);\n}\n\nSignature.prototype.toDER = function toDER(enc) {\n  var r = this.r.toArray();\n  var s = this.s.toArray();\n\n  // Pad values\n  if (r[0] & 0x80)\n    r = [ 0 ].concat(r);\n  // Pad values\n  if (s[0] & 0x80)\n    s = [ 0 ].concat(s);\n\n  r = rmPadding(r);\n  s = rmPadding(s);\n\n  while (!s[0] && !(s[1] & 0x80)) {\n    s = s.slice(1);\n  }\n  var arr = [ 0x02 ];\n  constructLength(arr, r.length);\n  arr = arr.concat(r);\n  arr.push(0x02);\n  constructLength(arr, s.length);\n  var backHalf = arr.concat(s);\n  var res = [ 0x30 ];\n  constructLength(res, backHalf.length);\n  res = res.concat(backHalf);\n  return utils.encode(res, enc);\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nfunction KeyPair(ec, options) {\n  this.ec = ec;\n  this.priv = null;\n  this.pub = null;\n\n  // KeyPair(ec, { priv: ..., pub: ... })\n  if (options.priv)\n    this._importPrivate(options.priv, options.privEnc);\n  if (options.pub)\n    this._importPublic(options.pub, options.pubEnc);\n}\nmodule.exports = KeyPair;\n\nKeyPair.fromPublic = function fromPublic(ec, pub, enc) {\n  if (pub instanceof KeyPair)\n    return pub;\n\n  return new KeyPair(ec, {\n    pub: pub,\n    pubEnc: enc\n  });\n};\n\nKeyPair.fromPrivate = function fromPrivate(ec, priv, enc) {\n  if (priv instanceof KeyPair)\n    return priv;\n\n  return new KeyPair(ec, {\n    priv: priv,\n    privEnc: enc\n  });\n};\n\nKeyPair.prototype.validate = function validate() {\n  var pub = this.getPublic();\n\n  if (pub.isInfinity())\n    return { result: false, reason: 'Invalid public key' };\n  if (!pub.validate())\n    return { result: false, reason: 'Public key is not a point' };\n  if (!pub.mul(this.ec.curve.n).isInfinity())\n    return { result: false, reason: 'Public key * N != O' };\n\n  return { result: true, reason: null };\n};\n\nKeyPair.prototype.getPublic = function getPublic(compact, enc) {\n  // compact is optional argument\n  if (typeof compact === 'string') {\n    enc = compact;\n    compact = null;\n  }\n\n  if (!this.pub)\n    this.pub = this.ec.g.mul(this.priv);\n\n  if (!enc)\n    return this.pub;\n\n  return this.pub.encode(enc, compact);\n};\n\nKeyPair.prototype.getPrivate = function getPrivate(enc) {\n  if (enc === 'hex')\n    return this.priv.toString(16, 2);\n  else\n    return this.priv;\n};\n\nKeyPair.prototype._importPrivate = function _importPrivate(key, enc) {\n  this.priv = new BN(key, enc || 16);\n\n  // Ensure that the priv won't be bigger than n, otherwise we may fail\n  // in fixed multiplication method\n  this.priv = this.priv.umod(this.ec.curve.n);\n};\n\nKeyPair.prototype._importPublic = function _importPublic(key, enc) {\n  if (key.x || key.y) {\n    // Montgomery points only have an `x` coordinate.\n    // Weierstrass/Edwards points on the other hand have both `x` and\n    // `y` coordinates.\n    if (this.ec.curve.type === 'mont') {\n      assert(key.x, 'Need x coordinate');\n    } else if (this.ec.curve.type === 'short' ||\n               this.ec.curve.type === 'edwards') {\n      assert(key.x && key.y, 'Need both x and y coordinate');\n    }\n    this.pub = this.ec.curve.point(key.x, key.y);\n    return;\n  }\n  this.pub = this.ec.curve.decodePoint(key, enc);\n};\n\n// ECDH\nKeyPair.prototype.derive = function derive(pub) {\n  return pub.mul(this.priv).getX();\n};\n\n// ECDSA\nKeyPair.prototype.sign = function sign(msg, enc, options) {\n  return this.ec.sign(msg, this, enc, options);\n};\n\nKeyPair.prototype.verify = function verify(msg, signature) {\n  return this.ec.verify(msg, signature, this);\n};\n\nKeyPair.prototype.inspect = function inspect() {\n  return '<Key priv: ' + (this.priv && this.priv.toString(16, 2)) +\n         ' pub: ' + (this.pub && this.pub.inspect()) + ' >';\n};\n","'use strict';\n\nvar hash = require('hash.js');\nvar utils = require('minimalistic-crypto-utils');\nvar assert = require('minimalistic-assert');\n\nfunction HmacDRBG(options) {\n  if (!(this instanceof HmacDRBG))\n    return new HmacDRBG(options);\n  this.hash = options.hash;\n  this.predResist = !!options.predResist;\n\n  this.outLen = this.hash.outSize;\n  this.minEntropy = options.minEntropy || this.hash.hmacStrength;\n\n  this._reseed = null;\n  this.reseedInterval = null;\n  this.K = null;\n  this.V = null;\n\n  var entropy = utils.toArray(options.entropy, options.entropyEnc || 'hex');\n  var nonce = utils.toArray(options.nonce, options.nonceEnc || 'hex');\n  var pers = utils.toArray(options.pers, options.persEnc || 'hex');\n  assert(entropy.length >= (this.minEntropy / 8),\n         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');\n  this._init(entropy, nonce, pers);\n}\nmodule.exports = HmacDRBG;\n\nHmacDRBG.prototype._init = function init(entropy, nonce, pers) {\n  var seed = entropy.concat(nonce).concat(pers);\n\n  this.K = new Array(this.outLen / 8);\n  this.V = new Array(this.outLen / 8);\n  for (var i = 0; i < this.V.length; i++) {\n    this.K[i] = 0x00;\n    this.V[i] = 0x01;\n  }\n\n  this._update(seed);\n  this._reseed = 1;\n  this.reseedInterval = 0x1000000000000;  // 2^48\n};\n\nHmacDRBG.prototype._hmac = function hmac() {\n  return new hash.hmac(this.hash, this.K);\n};\n\nHmacDRBG.prototype._update = function update(seed) {\n  var kmac = this._hmac()\n                 .update(this.V)\n                 .update([ 0x00 ]);\n  if (seed)\n    kmac = kmac.update(seed);\n  this.K = kmac.digest();\n  this.V = this._hmac().update(this.V).digest();\n  if (!seed)\n    return;\n\n  this.K = this._hmac()\n               .update(this.V)\n               .update([ 0x01 ])\n               .update(seed)\n               .digest();\n  this.V = this._hmac().update(this.V).digest();\n};\n\nHmacDRBG.prototype.reseed = function reseed(entropy, entropyEnc, add, addEnc) {\n  // Optional entropy enc\n  if (typeof entropyEnc !== 'string') {\n    addEnc = add;\n    add = entropyEnc;\n    entropyEnc = null;\n  }\n\n  entropy = utils.toArray(entropy, entropyEnc);\n  add = utils.toArray(add, addEnc);\n\n  assert(entropy.length >= (this.minEntropy / 8),\n         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');\n\n  this._update(entropy.concat(add || []));\n  this._reseed = 1;\n};\n\nHmacDRBG.prototype.generate = function generate(len, enc, add, addEnc) {\n  if (this._reseed > this.reseedInterval)\n    throw new Error('Reseed is required');\n\n  // Optional encoding\n  if (typeof enc !== 'string') {\n    addEnc = add;\n    add = enc;\n    enc = null;\n  }\n\n  // Optional additional data\n  if (add) {\n    add = utils.toArray(add, addEnc || 'hex');\n    this._update(add);\n  }\n\n  var temp = [];\n  while (temp.length < len) {\n    this.V = this._hmac().update(this.V).digest();\n    temp = temp.concat(this.V);\n  }\n\n  var res = temp.slice(0, len);\n  this._update(add);\n  this._reseed++;\n  return utils.encode(res, enc);\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar HmacDRBG = require('hmac-drbg');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nvar KeyPair = require('./key');\nvar Signature = require('./signature');\n\nfunction EC(options) {\n  if (!(this instanceof EC))\n    return new EC(options);\n\n  // Shortcut `elliptic.ec(curve-name)`\n  if (typeof options === 'string') {\n    assert(elliptic.curves.hasOwnProperty(options), 'Unknown curve ' + options);\n\n    options = elliptic.curves[options];\n  }\n\n  // Shortcut for `elliptic.ec(elliptic.curves.curveName)`\n  if (options instanceof elliptic.curves.PresetCurve)\n    options = { curve: options };\n\n  this.curve = options.curve.curve;\n  this.n = this.curve.n;\n  this.nh = this.n.ushrn(1);\n  this.g = this.curve.g;\n\n  // Point on curve\n  this.g = options.curve.g;\n  this.g.precompute(options.curve.n.bitLength() + 1);\n\n  // Hash for function for DRBG\n  this.hash = options.hash || options.curve.hash;\n}\nmodule.exports = EC;\n\nEC.prototype.keyPair = function keyPair(options) {\n  return new KeyPair(this, options);\n};\n\nEC.prototype.keyFromPrivate = function keyFromPrivate(priv, enc) {\n  return KeyPair.fromPrivate(this, priv, enc);\n};\n\nEC.prototype.keyFromPublic = function keyFromPublic(pub, enc) {\n  return KeyPair.fromPublic(this, pub, enc);\n};\n\nEC.prototype.genKeyPair = function genKeyPair(options) {\n  if (!options)\n    options = {};\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8',\n    entropy: options.entropy || elliptic.rand(this.hash.hmacStrength),\n    entropyEnc: options.entropy && options.entropyEnc || 'utf8',\n    nonce: this.n.toArray()\n  });\n\n  var bytes = this.n.byteLength();\n  var ns2 = this.n.sub(new BN(2));\n  do {\n    var priv = new BN(drbg.generate(bytes));\n    if (priv.cmp(ns2) > 0)\n      continue;\n\n    priv.iaddn(1);\n    return this.keyFromPrivate(priv);\n  } while (true);\n};\n\nEC.prototype._truncateToN = function truncateToN(msg, truncOnly) {\n  var delta = msg.byteLength() * 8 - this.n.bitLength();\n  if (delta > 0)\n    msg = msg.ushrn(delta);\n  if (!truncOnly && msg.cmp(this.n) >= 0)\n    return msg.sub(this.n);\n  else\n    return msg;\n};\n\nEC.prototype.sign = function sign(msg, key, enc, options) {\n  if (typeof enc === 'object') {\n    options = enc;\n    enc = null;\n  }\n  if (!options)\n    options = {};\n\n  key = this.keyFromPrivate(key, enc);\n  msg = this._truncateToN(new BN(msg, 16));\n\n  // Zero-extend key to provide enough entropy\n  var bytes = this.n.byteLength();\n  var bkey = key.getPrivate().toArray('be', bytes);\n\n  // Zero-extend nonce to have the same byte size as N\n  var nonce = msg.toArray('be', bytes);\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    entropy: bkey,\n    nonce: nonce,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8'\n  });\n\n  // Number of bytes to generate\n  var ns1 = this.n.sub(new BN(1));\n\n  for (var iter = 0; true; iter++) {\n    var k = options.k ?\n        options.k(iter) :\n        new BN(drbg.generate(this.n.byteLength()));\n    k = this._truncateToN(k, true);\n    if (k.cmpn(1) <= 0 || k.cmp(ns1) >= 0)\n      continue;\n\n    var kp = this.g.mul(k);\n    if (kp.isInfinity())\n      continue;\n\n    var kpX = kp.getX();\n    var r = kpX.umod(this.n);\n    if (r.cmpn(0) === 0)\n      continue;\n\n    var s = k.invm(this.n).mul(r.mul(key.getPrivate()).iadd(msg));\n    s = s.umod(this.n);\n    if (s.cmpn(0) === 0)\n      continue;\n\n    var recoveryParam = (kp.getY().isOdd() ? 1 : 0) |\n                        (kpX.cmp(r) !== 0 ? 2 : 0);\n\n    // Use complement of `s`, if it is > `n / 2`\n    if (options.canonical && s.cmp(this.nh) > 0) {\n      s = this.n.sub(s);\n      recoveryParam ^= 1;\n    }\n\n    return new Signature({ r: r, s: s, recoveryParam: recoveryParam });\n  }\n};\n\nEC.prototype.verify = function verify(msg, signature, key, enc) {\n  msg = this._truncateToN(new BN(msg, 16));\n  key = this.keyFromPublic(key, enc);\n  signature = new Signature(signature, 'hex');\n\n  // Perform primitive values validation\n  var r = signature.r;\n  var s = signature.s;\n  if (r.cmpn(1) < 0 || r.cmp(this.n) >= 0)\n    return false;\n  if (s.cmpn(1) < 0 || s.cmp(this.n) >= 0)\n    return false;\n\n  // Validate signature\n  var sinv = s.invm(this.n);\n  var u1 = sinv.mul(msg).umod(this.n);\n  var u2 = sinv.mul(r).umod(this.n);\n\n  if (!this.curve._maxwellTrick) {\n    var p = this.g.mulAdd(u1, key.getPublic(), u2);\n    if (p.isInfinity())\n      return false;\n\n    return p.getX().umod(this.n).cmp(r) === 0;\n  }\n\n  // NOTE: Greg Maxwell's trick, inspired by:\n  // https://git.io/vad3K\n\n  var p = this.g.jmulAdd(u1, key.getPublic(), u2);\n  if (p.isInfinity())\n    return false;\n\n  // Compare `p.x` of Jacobian point with `r`,\n  // this will do `p.x == r * p.z^2` instead of multiplying `p.x` by the\n  // inverse of `p.z^2`\n  return p.eqXToP(r);\n};\n\nEC.prototype.recoverPubKey = function(msg, signature, j, enc) {\n  assert((3 & j) === j, 'The recovery param is more than two bits');\n  signature = new Signature(signature, enc);\n\n  var n = this.n;\n  var e = new BN(msg);\n  var r = signature.r;\n  var s = signature.s;\n\n  // A set LSB signifies that the y-coordinate is odd\n  var isYOdd = j & 1;\n  var isSecondKey = j >> 1;\n  if (r.cmp(this.curve.p.umod(this.curve.n)) >= 0 && isSecondKey)\n    throw new Error('Unable to find sencond key candinate');\n\n  // 1.1. Let x = r + jn.\n  if (isSecondKey)\n    r = this.curve.pointFromX(r.add(this.curve.n), isYOdd);\n  else\n    r = this.curve.pointFromX(r, isYOdd);\n\n  var rInv = signature.r.invm(n);\n  var s1 = n.sub(e).mul(rInv).umod(n);\n  var s2 = s.mul(rInv).umod(n);\n\n  // 1.6.1 Compute Q = r^-1 (sR -  eG)\n  //               Q = r^-1 (sR + -eG)\n  return this.g.mulAdd(s1, r, s2);\n};\n\nEC.prototype.getKeyRecoveryParam = function(e, signature, Q, enc) {\n  signature = new Signature(signature, enc);\n  if (signature.recoveryParam !== null)\n    return signature.recoveryParam;\n\n  for (var i = 0; i < 4; i++) {\n    var Qprime;\n    try {\n      Qprime = this.recoverPubKey(e, signature, i);\n    } catch (e) {\n      continue;\n    }\n\n    if (Qprime.eq(Q))\n      return i;\n  }\n  throw new Error('Unable to find valid recovery factor');\n};\n","module.exports = {\n  doubles: {\n    step: 4,\n    points: [\n      [\n        'e60fce93b59e9ec53011aabc21c23e97b2a31369b87a5ae9c44ee89e2a6dec0a',\n   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hash;\n  this.blockSize = hash.blockSize / 8;\n  this.outSize = hash.outSize / 8;\n  this.inner = null;\n  this.outer = null;\n\n  this._init(utils.toArray(key, enc));\n}\nmodule.exports = Hmac;\n\nHmac.prototype._init = function init(key) {\n  // Shorten key, if needed\n  if (key.length > this.blockSize)\n    key = new this.Hash().update(key).digest();\n  assert(key.length <= this.blockSize);\n\n  // Add padding to key\n  for (var i = key.length; i < this.blockSize; i++)\n    key.push(0);\n\n  for (i = 0; i < key.length; i++)\n    key[i] ^= 0x36;\n  this.inner = new this.Hash().update(key);\n\n  // 0x36 ^ 0x5c = 0x6a\n  for (i = 0; i < key.length; i++)\n    key[i] ^= 0x6a;\n  this.outer = new this.Hash().update(key);\n};\n\nHmac.prototype.update = function update(msg, enc) {\n  this.inner.update(msg, enc);\n  return this;\n};\n\nHmac.prototype.digest = function digest(enc) {\n  this.outer.update(this.inner.digest());\n  return this.outer.digest(enc);\n};\n","'use strict';\n\nvar utils = require('./utils');\nvar common = require('./common');\n\nvar rotl32 = utils.rotl32;\nvar sum32 = utils.sum32;\nvar sum32_3 = utils.sum32_3;\nvar sum32_4 = utils.sum32_4;\nvar BlockHash = common.BlockHash;\n\nfunction RIPEMD160() {\n  if (!(this instanceof RIPEMD160))\n    return new RIPEMD160();\n\n  BlockHash.call(this);\n\n  this.h = [ 0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0 ];\n  this.endian = 'little';\n}\nutils.inherits(RIPEMD160, BlockHash);\nexports.ripemd160 = RIPEMD160;\n\nRIPEMD160.blockSize = 512;\nRIPEMD160.outSize = 160;\nRIPEMD160.hmacStrength = 192;\nRIPEMD160.padLength = 64;\n\nRIPEMD160.prototype._update = function update(msg, start) {\n  var A = this.h[0];\n  var B = this.h[1];\n  var C = this.h[2];\n  var D = this.h[3];\n  var E = this.h[4];\n  var Ah = A;\n  var Bh = B;\n  var Ch = C;\n  var Dh = D;\n  var Eh = E;\n  for (var j = 0; j < 80; j++) {\n    var T = sum32(\n      rotl32(\n        sum32_4(A, f(j, B, C, D), msg[r[j] + start], K(j)),\n        s[j]),\n      E);\n    A = E;\n    E = D;\n    D = rotl32(C, 10);\n    C = B;\n    B = T;\n    T = sum32(\n      rotl32(\n        sum32_4(Ah, f(79 - j, Bh, Ch, Dh), msg[rh[j] + start], Kh(j)),\n        sh[j]),\n      Eh);\n    Ah = Eh;\n    Eh = Dh;\n    Dh = rotl32(Ch, 10);\n    Ch = Bh;\n    Bh = T;\n  }\n  T = sum32_3(this.h[1], C, Dh);\n  this.h[1] = sum32_3(this.h[2], D, Eh);\n  this.h[2] = sum32_3(this.h[3], E, Ah);\n  this.h[3] = sum32_3(this.h[4], A, Bh);\n  this.h[4] = sum32_3(this.h[0], B, Ch);\n  this.h[0] = T;\n};\n\nRIPEMD160.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'little');\n  else\n    return utils.split32(this.h, 'little');\n};\n\nfunction f(j, x, y, z) {\n  if (j <= 15)\n    return x ^ y ^ z;\n  else if (j <= 31)\n    return (x & y) | ((~x) & z);\n  else if (j <= 47)\n    return (x | (~y)) ^ z;\n  else if (j <= 63)\n    return (x & z) | (y & (~z));\n  else\n    return x ^ (y | (~z));\n}\n\nfunction K(j) {\n  if (j <= 15)\n    return 0x00000000;\n  else if (j <= 31)\n    return 0x5a827999;\n  else if (j <= 47)\n    return 0x6ed9eba1;\n  else if (j <= 63)\n    return 0x8f1bbcdc;\n  else\n    return 0xa953fd4e;\n}\n\nfunction Kh(j) {\n  if (j <= 15)\n    return 0x50a28be6;\n  else if (j <= 31)\n    return 0x5c4dd124;\n  else if (j <= 47)\n    return 0x6d703ef3;\n  else if (j <= 63)\n    return 0x7a6d76e9;\n  else\n    return 0x00000000;\n}\n\nvar r = [\n  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,\n  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,\n  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,\n  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13\n];\n\nvar rh = [\n  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,\n  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,\n  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,\n  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,\n  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11\n];\n\nvar s = [\n  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,\n  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,\n  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,\n  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,\n  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6\n];\n\nvar sh = [\n  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,\n  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,\n  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,\n  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,\n  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11\n];\n","'use strict';\n\nvar utils = require('../utils');\n\nvar SHA512 = require('./512');\n\nfunction SHA384() {\n  if (!(this instanceof SHA384))\n    return new SHA384();\n\n  SHA512.call(this);\n  this.h = [\n    0xcbbb9d5d, 0xc1059ed8,\n    0x629a292a, 0x367cd507,\n    0x9159015a, 0x3070dd17,\n    0x152fecd8, 0xf70e5939,\n    0x67332667, 0xffc00b31,\n    0x8eb44a87, 0x68581511,\n    0xdb0c2e0d, 0x64f98fa7,\n    0x47b5481d, 0xbefa4fa4 ];\n}\nutils.inherits(SHA384, SHA512);\nmodule.exports = SHA384;\n\nSHA384.blockSize = 1024;\nSHA384.outSize = 384;\nSHA384.hmacStrength = 192;\nSHA384.padLength = 128;\n\nSHA384.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h.slice(0, 12), 'big');\n  else\n    return utils.split32(this.h.slice(0, 12), 'big');\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar SHA256 = require('./256');\n\nfunction SHA224() {\n  if (!(this instanceof SHA224))\n    return new SHA224();\n\n  SHA256.call(this);\n  this.h = [\n    0xc1059ed8, 0x367cd507, 0x3070dd17, 0xf70e5939,\n    0xffc00b31, 0x68581511, 0x64f98fa7, 0xbefa4fa4 ];\n}\nutils.inherits(SHA224, SHA256);\nmodule.exports = SHA224;\n\nSHA224.blockSize = 512;\nSHA224.outSize = 224;\nSHA224.hmacStrength = 192;\nSHA224.padLength = 64;\n\nSHA224.prototype._digest = function digest(enc) {\n  // Just truncate output\n  if (enc === 'hex')\n    return utils.toHex32(this.h.slice(0, 7), 'big');\n  else\n    return utils.split32(this.h.slice(0, 7), 'big');\n};\n\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar shaCommon = require('./common');\n\nvar rotl32 = utils.rotl32;\nvar sum32 = utils.sum32;\nvar sum32_5 = utils.sum32_5;\nvar ft_1 = shaCommon.ft_1;\nvar BlockHash = common.BlockHash;\n\nvar sha1_K = [\n  0x5A827999, 0x6ED9EBA1,\n  0x8F1BBCDC, 0xCA62C1D6\n];\n\nfunction SHA1() {\n  if (!(this instanceof SHA1))\n    return new SHA1();\n\n  BlockHash.call(this);\n  this.h = [\n    0x67452301, 0xefcdab89, 0x98badcfe,\n    0x10325476, 0xc3d2e1f0 ];\n  this.W = new Array(80);\n}\n\nutils.inherits(SHA1, BlockHash);\nmodule.exports = SHA1;\n\nSHA1.blockSize = 512;\nSHA1.outSize = 160;\nSHA1.hmacStrength = 80;\nSHA1.padLength = 64;\n\nSHA1.prototype._update = function _update(msg, start) {\n  var W = this.W;\n\n  for (var i = 0; i < 16; i++)\n    W[i] = msg[start + i];\n\n  for(; i < W.length; i++)\n    W[i] = rotl32(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16], 1);\n\n  var a = this.h[0];\n  var b = this.h[1];\n  var c = this.h[2];\n  var d = this.h[3];\n  var e = this.h[4];\n\n  for (i = 0; i < W.length; i++) {\n    var s = ~~(i / 20);\n    var t = sum32_5(rotl32(a, 5), ft_1(s, b, c, d), e, W[i], sha1_K[s]);\n    e = d;\n    d = c;\n    c = rotl32(b, 30);\n    b = a;\n    a = t;\n  }\n\n  this.h[0] = sum32(this.h[0], a);\n  this.h[1] = sum32(this.h[1], b);\n  this.h[2] = sum32(this.h[2], c);\n  this.h[3] = sum32(this.h[3], d);\n  this.h[4] = sum32(this.h[4], e);\n};\n\nSHA1.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n","'use strict';\n\nexports.sha1 = require('./sha/1');\nexports.sha224 = require('./sha/224');\nexports.sha256 = require('./sha/256');\nexports.sha384 = require('./sha/384');\nexports.sha512 = require('./sha/512');\n","'use strict';\n\nvar curves = exports;\n\nvar hash = require('hash.js');\nvar elliptic = require('../elliptic');\n\nvar assert = elliptic.utils.assert;\n\nfunction PresetCurve(options) {\n  if (options.type === 'short')\n    this.curve = new elliptic.curve.short(options);\n  else if (options.type === 'edwards')\n    this.curve = new elliptic.curve.edwards(options);\n  else\n    this.curve = new elliptic.curve.mont(options);\n  this.g = this.curve.g;\n  this.n = this.curve.n;\n  this.hash = options.hash;\n\n  assert(this.g.validate(), 'Invalid curve');\n  assert(this.g.mul(this.n).isInfinity(), 'Invalid curve, G*N != O');\n}\ncurves.PresetCurve = PresetCurve;\n\nfunction defineCurve(name, options) {\n  Object.defineProperty(curves, name, {\n    configurable: true,\n    enumerable: true,\n    get: function() {\n      var curve = new PresetCurve(options);\n      Object.defineProperty(curves, name, {\n        configurable: true,\n        enumerable: true,\n        value: curve\n      });\n      return curve;\n    }\n  });\n}\n\ndefineCurve('p192', {\n  type: 'short',\n  prime: 'p192',\n  p: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff',\n  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff fffffffc',\n  b: '64210519 e59c80e7 0fa7e9ab 72243049 feb8deec c146b9b1',\n  n: 'ffffffff ffffffff ffffffff 99def836 146bc9b1 b4d22831',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '188da80e b03090f6 7cbf20eb 43a18800 f4ff0afd 82ff1012',\n    '07192b95 ffc8da78 631011ed 6b24cdd5 73f977a1 1e794811'\n  ]\n});\n\ndefineCurve('p224', {\n  type: 'short',\n  prime: 'p224',\n  p: 'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001',\n  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff fffffffe',\n  b: 'b4050a85 0c04b3ab f5413256 5044b0b7 d7bfd8ba 270b3943 2355ffb4',\n  n: 'ffffffff ffffffff ffffffff ffff16a2 e0b8f03e 13dd2945 5c5c2a3d',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    'b70e0cbd 6bb4bf7f 321390b9 4a03c1d3 56c21122 343280d6 115c1d21',\n    'bd376388 b5f723fb 4c22dfe6 cd4375a0 5a074764 44d58199 85007e34'\n  ]\n});\n\ndefineCurve('p256', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff ffffffff',\n  a: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff fffffffc',\n  b: '5ac635d8 aa3a93e7 b3ebbd55 769886bc 651d06b0 cc53b0f6 3bce3c3e 27d2604b',\n  n: 'ffffffff 00000000 ffffffff ffffffff bce6faad a7179e84 f3b9cac2 fc632551',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '6b17d1f2 e12c4247 f8bce6e5 63a440f2 77037d81 2deb33a0 f4a13945 d898c296',\n    '4fe342e2 fe1a7f9b 8ee7eb4a 7c0f9e16 2bce3357 6b315ece cbb64068 37bf51f5'\n  ]\n});\n\ndefineCurve('p384', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 ffffffff',\n  a: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 fffffffc',\n  b: 'b3312fa7 e23ee7e4 988e056b e3f82d19 181d9c6e fe814112 0314088f ' +\n     '5013875a c656398d 8a2ed19d 2a85c8ed d3ec2aef',\n  n: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff c7634d81 ' +\n     'f4372ddf 581a0db2 48b0a77a ecec196a ccc52973',\n  hash: hash.sha384,\n  gRed: false,\n  g: [\n    'aa87ca22 be8b0537 8eb1c71e f320ad74 6e1d3b62 8ba79b98 59f741e0 82542a38 ' +\n    '5502f25d bf55296c 3a545e38 72760ab7',\n    '3617de4a 96262c6f 5d9e98bf 9292dc29 f8f41dbd 289a147c e9da3113 b5f0b8c0 ' +\n    '0a60b1ce 1d7e819d 7a431d7c 90ea0e5f'\n  ]\n});\n\ndefineCurve('p521', {\n  type: 'short',\n  prime: null,\n  p: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff',\n  a: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff fffffffc',\n  b: '00000051 953eb961 8e1c9a1f 929a21a0 b68540ee a2da725b ' +\n     '99b315f3 b8b48991 8ef109e1 56193951 ec7e937b 1652c0bd ' +\n     '3bb1bf07 3573df88 3d2c34f1 ef451fd4 6b503f00',\n  n: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff fffffffa 51868783 bf2f966b 7fcc0148 ' +\n     'f709a5d0 3bb5c9b8 899c47ae bb6fb71e 91386409',\n  hash: hash.sha512,\n  gRed: false,\n  g: [\n    '000000c6 858e06b7 0404e9cd 9e3ecb66 2395b442 9c648139 ' +\n    '053fb521 f828af60 6b4d3dba a14b5e77 efe75928 fe1dc127 ' +\n    'a2ffa8de 3348b3c1 856a429b f97e7e31 c2e5bd66',\n    '00000118 39296a78 9a3bc004 5c8a5fb4 2c7d1bd9 98f54449 ' +\n    '579b4468 17afbd17 273e662c 97ee7299 5ef42640 c550b901 ' +\n    '3fad0761 353c7086 a272c240 88be9476 9fd16650'\n  ]\n});\n\ndefineCurve('curve25519', {\n  type: 'mont',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '76d06',\n  b: '1',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '9'\n  ]\n});\n\ndefineCurve('ed25519', {\n  type: 'edwards',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '-1',\n  c: '1',\n  // -121665 * (121666^(-1)) (mod P)\n  d: '52036cee2b6ffe73 8cc740797779e898 00700a4d4141d8ab 75eb4dca135978a3',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '216936d3cd6e53fec0a4e231fdd6dc5c692cc7609525a7b2c9562d608f25d51a',\n\n    // 4/5\n    '6666666666666666666666666666666666666666666666666666666666666658'\n  ]\n});\n\nvar pre;\ntry {\n  pre = require('./precomputed/secp256k1');\n} catch (e) {\n  pre = undefined;\n}\n\ndefineCurve('secp256k1', {\n  type: 'short',\n  prime: 'k256',\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f',\n  a: '0',\n  b: '7',\n  n: 'ffffffff ffffffff ffffffff fffffffe baaedce6 af48a03b bfd25e8c d0364141',\n  h: '1',\n  hash: hash.sha256,\n\n  // Precomputed endomorphism\n  beta: '7ae96a2b657c07106e64479eac3434e99cf0497512f58995c1396c28719501ee',\n  lambda: '5363ad4cc05c30e0a5261c028812645a122e22ea20816678df02967c1b23bd72',\n  basis: [\n    {\n      a: '3086d221a7d46bcde86c90e49284eb15',\n      b: '-e4437ed6010e88286f547fa90abfe4c3'\n    },\n    {\n      a: '114ca50f7a8e2f3f657c1108d9d44cfd8',\n      b: '3086d221a7d46bcde86c90e49284eb15'\n    }\n  ],\n\n  gRed: false,\n  g: [\n    '79be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798',\n    '483ada7726a3c4655da4fbfc0e1108a8fd17b448a68554199c47d08ffb10d4b8',\n    pre\n  ]\n});\n","'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction EdwardsCurve(conf) {\n  // NOTE: Important as we are creating point in Base.call()\n  this.twisted = (conf.a | 0) !== 1;\n  this.mOneA = this.twisted && (conf.a | 0) === -1;\n  this.extended = this.mOneA;\n\n  Base.call(this, 'edwards', conf);\n\n  this.a = new BN(conf.a, 16).umod(this.red.m);\n  this.a = this.a.toRed(this.red);\n  this.c = new BN(conf.c, 16).toRed(this.red);\n  this.c2 = this.c.redSqr();\n  this.d = new BN(conf.d, 16).toRed(this.red);\n  this.dd = this.d.redAdd(this.d);\n\n  assert(!this.twisted || this.c.fromRed().cmpn(1) === 0);\n  this.oneC = (conf.c | 0) === 1;\n}\ninherits(EdwardsCurve, Base);\nmodule.exports = EdwardsCurve;\n\nEdwardsCurve.prototype._mulA = function _mulA(num) {\n  if (this.mOneA)\n    return num.redNeg();\n  else\n    return this.a.redMul(num);\n};\n\nEdwardsCurve.prototype._mulC = function _mulC(num) {\n  if (this.oneC)\n    return num;\n  else\n    return this.c.redMul(num);\n};\n\n// Just for compatibility with Short curve\nEdwardsCurve.prototype.jpoint = function jpoint(x, y, z, t) {\n  return this.point(x, y, z, t);\n};\n\nEdwardsCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var x2 = x.redSqr();\n  var rhs = this.c2.redSub(this.a.redMul(x2));\n  var lhs = this.one.redSub(this.c2.redMul(this.d).redMul(x2));\n\n  var y2 = rhs.redMul(lhs.redInvm());\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.pointFromY = function pointFromY(y, odd) {\n  y = new BN(y, 16);\n  if (!y.red)\n    y = y.toRed(this.red);\n\n  // x^2 = (y^2 - c^2) / (c^2 d y^2 - a)\n  var y2 = y.redSqr();\n  var lhs = y2.redSub(this.c2);\n  var rhs = y2.redMul(this.d).redMul(this.c2).redSub(this.a);\n  var x2 = lhs.redMul(rhs.redInvm());\n\n  if (x2.cmp(this.zero) === 0) {\n    if (odd)\n      throw new Error('invalid point');\n    else\n      return this.point(this.zero, y);\n  }\n\n  var x = x2.redSqrt();\n  if (x.redSqr().redSub(x2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  if (x.fromRed().isOdd() !== odd)\n    x = x.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.validate = function validate(point) {\n  if (point.isInfinity())\n    return true;\n\n  // Curve: A * X^2 + Y^2 = C^2 * (1 + D * X^2 * Y^2)\n  point.normalize();\n\n  var x2 = point.x.redSqr();\n  var y2 = point.y.redSqr();\n  var lhs = x2.redMul(this.a).redAdd(y2);\n  var rhs = this.c2.redMul(this.one.redAdd(this.d.redMul(x2).redMul(y2)));\n\n  return lhs.cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, y, z, t) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.zero;\n    this.y = this.curve.one;\n    this.z = this.curve.one;\n    this.t = this.curve.zero;\n    this.zOne = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = z ? new BN(z, 16) : this.curve.one;\n    this.t = t && new BN(t, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n    if (this.t && !this.t.red)\n      this.t = this.t.toRed(this.curve.red);\n    this.zOne = this.z === this.curve.one;\n\n    // Use extended coordinates\n    if (this.curve.extended && !this.t) {\n      this.t = this.x.redMul(this.y);\n      if (!this.zOne)\n        this.t = this.t.redMul(this.z.redInvm());\n    }\n  }\n}\ninherits(Point, Base.BasePoint);\n\nEdwardsCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nEdwardsCurve.prototype.point = function point(x, y, z, t) {\n  return new Point(this, x, y, z, t);\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1], obj[2]);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.x.cmpn(0) === 0 &&\n    (this.y.cmp(this.z) === 0 ||\n    (this.zOne && this.y.cmp(this.curve.c) === 0));\n};\n\nPoint.prototype._extDbl = function _extDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #doubling-dbl-2008-hwcd\n  // 4M + 4S\n\n  // A = X1^2\n  var a = this.x.redSqr();\n  // B = Y1^2\n  var b = this.y.redSqr();\n  // C = 2 * Z1^2\n  var c = this.z.redSqr();\n  c = c.redIAdd(c);\n  // D = a * A\n  var d = this.curve._mulA(a);\n  // E = (X1 + Y1)^2 - A - B\n  var e = this.x.redAdd(this.y).redSqr().redISub(a).redISub(b);\n  // G = D + B\n  var g = d.redAdd(b);\n  // F = G - C\n  var f = g.redSub(c);\n  // H = D - B\n  var h = d.redSub(b);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projDbl = function _projDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #doubling-dbl-2008-bbjlp\n  //     #doubling-dbl-2007-bl\n  // and others\n  // Generally 3M + 4S or 2M + 4S\n\n  // B = (X1 + Y1)^2\n  var b = this.x.redAdd(this.y).redSqr();\n  // C = X1^2\n  var c = this.x.redSqr();\n  // D = Y1^2\n  var d = this.y.redSqr();\n\n  var nx;\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // E = a * C\n    var e = this.curve._mulA(c);\n    // F = E + D\n    var f = e.redAdd(d);\n    if (this.zOne) {\n      // X3 = (B - C - D) * (F - 2)\n      nx = b.redSub(c).redSub(d).redMul(f.redSub(this.curve.two));\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F^2 - 2 * F\n      nz = f.redSqr().redSub(f).redSub(f);\n    } else {\n      // H = Z1^2\n      var h = this.z.redSqr();\n      // J = F - 2 * H\n      var j = f.redSub(h).redISub(h);\n      // X3 = (B-C-D)*J\n      nx = b.redSub(c).redISub(d).redMul(j);\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F * J\n      nz = f.redMul(j);\n    }\n  } else {\n    // E = C + D\n    var e = c.redAdd(d);\n    // H = (c * Z1)^2\n    var h = this.curve._mulC(this.z).redSqr();\n    // J = E - 2 * H\n    var j = e.redSub(h).redSub(h);\n    // X3 = c * (B - E) * J\n    nx = this.curve._mulC(b.redISub(e)).redMul(j);\n    // Y3 = c * E * (C - D)\n    ny = this.curve._mulC(e).redMul(c.redISub(d));\n    // Z3 = E * J\n    nz = e.redMul(j);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  // Double in extended coordinates\n  if (this.curve.extended)\n    return this._extDbl();\n  else\n    return this._projDbl();\n};\n\nPoint.prototype._extAdd = function _extAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #addition-add-2008-hwcd-3\n  // 8M\n\n  // A = (Y1 - X1) * (Y2 - X2)\n  var a = this.y.redSub(this.x).redMul(p.y.redSub(p.x));\n  // B = (Y1 + X1) * (Y2 + X2)\n  var b = this.y.redAdd(this.x).redMul(p.y.redAdd(p.x));\n  // C = T1 * k * T2\n  var c = this.t.redMul(this.curve.dd).redMul(p.t);\n  // D = Z1 * 2 * Z2\n  var d = this.z.redMul(p.z.redAdd(p.z));\n  // E = B - A\n  var e = b.redSub(a);\n  // F = D - C\n  var f = d.redSub(c);\n  // G = D + C\n  var g = d.redAdd(c);\n  // H = B + A\n  var h = b.redAdd(a);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projAdd = function _projAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #addition-add-2008-bbjlp\n  //     #addition-add-2007-bl\n  // 10M + 1S\n\n  // A = Z1 * Z2\n  var a = this.z.redMul(p.z);\n  // B = A^2\n  var b = a.redSqr();\n  // C = X1 * X2\n  var c = this.x.redMul(p.x);\n  // D = Y1 * Y2\n  var d = this.y.redMul(p.y);\n  // E = d * C * D\n  var e = this.curve.d.redMul(c).redMul(d);\n  // F = B - E\n  var f = b.redSub(e);\n  // G = B + E\n  var g = b.redAdd(e);\n  // X3 = A * F * ((X1 + Y1) * (X2 + Y2) - C - D)\n  var tmp = this.x.redAdd(this.y).redMul(p.x.redAdd(p.y)).redISub(c).redISub(d);\n  var nx = a.redMul(f).redMul(tmp);\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // Y3 = A * G * (D - a * C)\n    ny = a.redMul(g).redMul(d.redSub(this.curve._mulA(c)));\n    // Z3 = F * G\n    nz = f.redMul(g);\n  } else {\n    // Y3 = A * G * (D - C)\n    ny = a.redMul(g).redMul(d.redSub(c));\n    // Z3 = c * F * G\n    nz = this.curve._mulC(f).redMul(g);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.add = function add(p) {\n  if (this.isInfinity())\n    return p;\n  if (p.isInfinity())\n    return this;\n\n  if (this.curve.extended)\n    return this._extAdd(p);\n  else\n    return this._projAdd(p);\n};\n\nPoint.prototype.mul = function mul(k) {\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, false);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, true);\n};\n\nPoint.prototype.normalize = function normalize() {\n  if (this.zOne)\n    return this;\n\n  // Normalize coordinates\n  var zi = this.z.redInvm();\n  this.x = this.x.redMul(zi);\n  this.y = this.y.redMul(zi);\n  if (this.t)\n    this.t = this.t.redMul(zi);\n  this.z = this.curve.one;\n  this.zOne = true;\n  return this;\n};\n\nPoint.prototype.neg = function neg() {\n  return this.curve.point(this.x.redNeg(),\n                          this.y,\n                          this.z,\n                          this.t && this.t.redNeg());\n};\n\nPoint.prototype.getX = function getX() {\n  this.normalize();\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  this.normalize();\n  return this.y.fromRed();\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this === other ||\n         this.getX().cmp(other.getX()) === 0 &&\n         this.getY().cmp(other.getY()) === 0;\n};\n\nPoint.prototype.eqXToP = function eqXToP(x) {\n  var rx = x.toRed(this.curve.red).redMul(this.z);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(this.z);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n};\n\n// Compatibility with BaseCurve\nPoint.prototype.toP = Point.prototype.normalize;\nPoint.prototype.mixedAdd = Point.prototype.add;\n","'use strict';\n\nvar curve = require('../curve');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\n\nfunction MontCurve(conf) {\n  Base.call(this, 'mont', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.i4 = new BN(4).toRed(this.red).redInvm();\n  this.two = new BN(2).toRed(this.red);\n  this.a24 = this.i4.redMul(this.a.redAdd(this.two));\n}\ninherits(MontCurve, Base);\nmodule.exports = MontCurve;\n\nMontCurve.prototype.validate = function validate(point) {\n  var x = point.normalize().x;\n  var x2 = x.redSqr();\n  var rhs = x2.redMul(x).redAdd(x2.redMul(this.a)).redAdd(x);\n  var y = rhs.redSqrt();\n\n  return y.redSqr().cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, z) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && z === null) {\n    this.x = this.curve.one;\n    this.z = this.curve.zero;\n  } else {\n    this.x = new BN(x, 16);\n    this.z = new BN(z, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n  }\n}\ninherits(Point, Base.BasePoint);\n\nMontCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  return this.point(utils.toArray(bytes, enc), 1);\n};\n\nMontCurve.prototype.point = function point(x, z) {\n  return new Point(this, x, z);\n};\n\nMontCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nPoint.prototype.precompute = function precompute() {\n  // No-op\n};\n\nPoint.prototype._encode = function _encode() {\n  return this.getX().toArray('be', this.curve.p.byteLength());\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1] || curve.one);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n\nPoint.prototype.dbl = function dbl() {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#doubling-dbl-1987-m-3\n  // 2M + 2S + 4A\n\n  // A = X1 + Z1\n  var a = this.x.redAdd(this.z);\n  // AA = A^2\n  var aa = a.redSqr();\n  // B = X1 - Z1\n  var b = this.x.redSub(this.z);\n  // BB = B^2\n  var bb = b.redSqr();\n  // C = AA - BB\n  var c = aa.redSub(bb);\n  // X3 = AA * BB\n  var nx = aa.redMul(bb);\n  // Z3 = C * (BB + A24 * C)\n  var nz = c.redMul(bb.redAdd(this.curve.a24.redMul(c)));\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.add = function add() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.diffAdd = function diffAdd(p, diff) {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#diffadd-dadd-1987-m-3\n  // 4M + 2S + 6A\n\n  // A = X2 + Z2\n  var a = this.x.redAdd(this.z);\n  // B = X2 - Z2\n  var b = this.x.redSub(this.z);\n  // C = X3 + Z3\n  var c = p.x.redAdd(p.z);\n  // D = X3 - Z3\n  var d = p.x.redSub(p.z);\n  // DA = D * A\n  var da = d.redMul(a);\n  // CB = C * B\n  var cb = c.redMul(b);\n  // X5 = Z1 * (DA + CB)^2\n  var nx = diff.z.redMul(da.redAdd(cb).redSqr());\n  // Z5 = X1 * (DA - CB)^2\n  var nz = diff.x.redMul(da.redISub(cb).redSqr());\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.mul = function mul(k) {\n  var t = k.clone();\n  var a = this; // (N / 2) * Q + Q\n  var b = this.curve.point(null, null); // (N / 2) * Q\n  var c = this; // Q\n\n  for (var bits = []; t.cmpn(0) !== 0; t.iushrn(1))\n    bits.push(t.andln(1));\n\n  for (var i = bits.length - 1; i >= 0; i--) {\n    if (bits[i] === 0) {\n      // N * Q + Q = ((N / 2) * Q + Q)) + (N / 2) * Q\n      a = a.diffAdd(b, c);\n      // N * Q = 2 * ((N / 2) * Q + Q))\n      b = b.dbl();\n    } else {\n      // N * Q = ((N / 2) * Q + Q) + ((N / 2) * Q)\n      b = a.diffAdd(b, c);\n      // N * Q + Q = 2 * ((N / 2) * Q + Q)\n      a = a.dbl();\n    }\n  }\n  return b;\n};\n\nPoint.prototype.mulAdd = function mulAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.jumlAdd = function jumlAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this.getX().cmp(other.getX()) === 0;\n};\n\nPoint.prototype.normalize = function normalize() {\n  this.x = this.x.redMul(this.z.redInvm());\n  this.z = this.curve.one;\n  return this;\n};\n\nPoint.prototype.getX = function getX() {\n  // Normalize coordinates\n  this.normalize();\n\n  return this.x.fromRed();\n};\n","'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction ShortCurve(conf) {\n  Base.call(this, 'short', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.tinv = this.two.redInvm();\n\n  this.zeroA = this.a.fromRed().cmpn(0) === 0;\n  this.threeA = this.a.fromRed().sub(this.p).cmpn(-3) === 0;\n\n  // If the curve is endomorphic, precalculate beta and lambda\n  this.endo = this._getEndomorphism(conf);\n  this._endoWnafT1 = new Array(4);\n  this._endoWnafT2 = new Array(4);\n}\ninherits(ShortCurve, Base);\nmodule.exports = ShortCurve;\n\nShortCurve.prototype._getEndomorphism = function _getEndomorphism(conf) {\n  // No efficient endomorphism\n  if (!this.zeroA || !this.g || !this.n || this.p.modn(3) !== 1)\n    return;\n\n  // Compute beta and lambda, that lambda * P = (beta * Px; Py)\n  var beta;\n  var lambda;\n  if (conf.beta) {\n    beta = new BN(conf.beta, 16).toRed(this.red);\n  } else {\n    var betas = this._getEndoRoots(this.p);\n    // Choose the smallest beta\n    beta = betas[0].cmp(betas[1]) < 0 ? betas[0] : betas[1];\n    beta = beta.toRed(this.red);\n  }\n  if (conf.lambda) {\n    lambda = new BN(conf.lambda, 16);\n  } else {\n    // Choose the lambda that is matching selected beta\n    var lambdas = this._getEndoRoots(this.n);\n    if (this.g.mul(lambdas[0]).x.cmp(this.g.x.redMul(beta)) === 0) {\n      lambda = lambdas[0];\n    } else {\n      lambda = lambdas[1];\n      assert(this.g.mul(lambda).x.cmp(this.g.x.redMul(beta)) === 0);\n    }\n  }\n\n  // Get basis vectors, used for balanced length-two representation\n  var basis;\n  if (conf.basis) {\n    basis = conf.basis.map(function(vec) {\n      return {\n        a: new BN(vec.a, 16),\n        b: new BN(vec.b, 16)\n      };\n    });\n  } else {\n    basis = this._getEndoBasis(lambda);\n  }\n\n  return {\n    beta: beta,\n    lambda: lambda,\n    basis: basis\n  };\n};\n\nShortCurve.prototype._getEndoRoots = function _getEndoRoots(num) {\n  // Find roots of for x^2 + x + 1 in F\n  // Root = (-1 +- Sqrt(-3)) / 2\n  //\n  var red = num === this.p ? this.red : BN.mont(num);\n  var tinv = new BN(2).toRed(red).redInvm();\n  var ntinv = tinv.redNeg();\n\n  var s = new BN(3).toRed(red).redNeg().redSqrt().redMul(tinv);\n\n  var l1 = ntinv.redAdd(s).fromRed();\n  var l2 = ntinv.redSub(s).fromRed();\n  return [ l1, l2 ];\n};\n\nShortCurve.prototype._getEndoBasis = function _getEndoBasis(lambda) {\n  // aprxSqrt >= sqrt(this.n)\n  var aprxSqrt = this.n.ushrn(Math.floor(this.n.bitLength() / 2));\n\n  // 3.74\n  // Run EGCD, until r(L + 1) < aprxSqrt\n  var u = lambda;\n  var v = this.n.clone();\n  var x1 = new BN(1);\n  var y1 = new BN(0);\n  var x2 = new BN(0);\n  var y2 = new BN(1);\n\n  // NOTE: all vectors are roots of: a + b * lambda = 0 (mod n)\n  var a0;\n  var b0;\n  // First vector\n  var a1;\n  var b1;\n  // Second vector\n  var a2;\n  var b2;\n\n  var prevR;\n  var i = 0;\n  var r;\n  var x;\n  while (u.cmpn(0) !== 0) {\n    var q = v.div(u);\n    r = v.sub(q.mul(u));\n    x = x2.sub(q.mul(x1));\n    var y = y2.sub(q.mul(y1));\n\n    if (!a1 && r.cmp(aprxSqrt) < 0) {\n      a0 = prevR.neg();\n      b0 = x1;\n      a1 = r.neg();\n      b1 = x;\n    } else if (a1 && ++i === 2) {\n      break;\n    }\n    prevR = r;\n\n    v = u;\n    u = r;\n    x2 = x1;\n    x1 = x;\n    y2 = y1;\n    y1 = y;\n  }\n  a2 = r.neg();\n  b2 = x;\n\n  var len1 = a1.sqr().add(b1.sqr());\n  var len2 = a2.sqr().add(b2.sqr());\n  if (len2.cmp(len1) >= 0) {\n    a2 = a0;\n    b2 = b0;\n  }\n\n  // Normalize signs\n  if (a1.negative) {\n    a1 = a1.neg();\n    b1 = b1.neg();\n  }\n  if (a2.negative) {\n    a2 = a2.neg();\n    b2 = b2.neg();\n  }\n\n  return [\n    { a: a1, b: b1 },\n    { a: a2, b: b2 }\n  ];\n};\n\nShortCurve.prototype._endoSplit = function _endoSplit(k) {\n  var basis = this.endo.basis;\n  var v1 = basis[0];\n  var v2 = basis[1];\n\n  var c1 = v2.b.mul(k).divRound(this.n);\n  var c2 = v1.b.neg().mul(k).divRound(this.n);\n\n  var p1 = c1.mul(v1.a);\n  var p2 = c2.mul(v2.a);\n  var q1 = c1.mul(v1.b);\n  var q2 = c2.mul(v2.b);\n\n  // Calculate answer\n  var k1 = k.sub(p1).sub(p2);\n  var k2 = q1.add(q2).neg();\n  return { k1: k1, k2: k2 };\n};\n\nShortCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var y2 = x.redSqr().redMul(x).redIAdd(x.redMul(this.a)).redIAdd(this.b);\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  // XXX Is there any way to tell if the number is odd without converting it\n  // to non-red form?\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nShortCurve.prototype.validate = function validate(point) {\n  if (point.inf)\n    return true;\n\n  var x = point.x;\n  var y = point.y;\n\n  var ax = this.a.redMul(x);\n  var rhs = x.redSqr().redMul(x).redIAdd(ax).redIAdd(this.b);\n  return y.redSqr().redISub(rhs).cmpn(0) === 0;\n};\n\nShortCurve.prototype._endoWnafMulAdd =\n    function _endoWnafMulAdd(points, coeffs, jacobianResult) {\n  var npoints = this._endoWnafT1;\n  var ncoeffs = this._endoWnafT2;\n  for (var i = 0; i < points.length; i++) {\n    var split = this._endoSplit(coeffs[i]);\n    var p = points[i];\n    var beta = p._getBeta();\n\n    if (split.k1.negative) {\n      split.k1.ineg();\n      p = p.neg(true);\n    }\n    if (split.k2.negative) {\n      split.k2.ineg();\n      beta = beta.neg(true);\n    }\n\n    npoints[i * 2] = p;\n    npoints[i * 2 + 1] = beta;\n    ncoeffs[i * 2] = split.k1;\n    ncoeffs[i * 2 + 1] = split.k2;\n  }\n  var res = this._wnafMulAdd(1, npoints, ncoeffs, i * 2, jacobianResult);\n\n  // Clean-up references to points and coefficients\n  for (var j = 0; j < i * 2; j++) {\n    npoints[j] = null;\n    ncoeffs[j] = null;\n  }\n  return res;\n};\n\nfunction Point(curve, x, y, isRed) {\n  Base.BasePoint.call(this, curve, 'affine');\n  if (x === null && y === null) {\n    this.x = null;\n    this.y = null;\n    this.inf = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    // Force redgomery representation when loading from JSON\n    if (isRed) {\n      this.x.forceRed(this.curve.red);\n      this.y.forceRed(this.curve.red);\n    }\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    this.inf = false;\n  }\n}\ninherits(Point, Base.BasePoint);\n\nShortCurve.prototype.point = function point(x, y, isRed) {\n  return new Point(this, x, y, isRed);\n};\n\nShortCurve.prototype.pointFromJSON = function pointFromJSON(obj, red) {\n  return Point.fromJSON(this, obj, red);\n};\n\nPoint.prototype._getBeta = function _getBeta() {\n  if (!this.curve.endo)\n    return;\n\n  var pre = this.precomputed;\n  if (pre && pre.beta)\n    return pre.beta;\n\n  var beta = this.curve.point(this.x.redMul(this.curve.endo.beta), this.y);\n  if (pre) {\n    var curve = this.curve;\n    var endoMul = function(p) {\n      return curve.point(p.x.redMul(curve.endo.beta), p.y);\n    };\n    pre.beta = beta;\n    beta.precomputed = {\n      beta: null,\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(endoMul)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(endoMul)\n      }\n    };\n  }\n  return beta;\n};\n\nPoint.prototype.toJSON = function toJSON() {\n  if (!this.precomputed)\n    return [ this.x, this.y ];\n\n  return [ this.x, this.y, this.precomputed && {\n    doubles: this.precomputed.doubles && {\n      step: this.precomputed.doubles.step,\n      points: this.precomputed.doubles.points.slice(1)\n    },\n    naf: this.precomputed.naf && {\n      wnd: this.precomputed.naf.wnd,\n      points: this.precomputed.naf.points.slice(1)\n    }\n  } ];\n};\n\nPoint.fromJSON = function fromJSON(curve, obj, red) {\n  if (typeof obj === 'string')\n    obj = JSON.parse(obj);\n  var res = curve.point(obj[0], obj[1], red);\n  if (!obj[2])\n    return res;\n\n  function obj2point(obj) {\n    return curve.point(obj[0], obj[1], red);\n  }\n\n  var pre = obj[2];\n  res.precomputed = {\n    beta: null,\n    doubles: pre.doubles && {\n      step: pre.doubles.step,\n      points: [ res ].concat(pre.doubles.points.map(obj2point))\n    },\n    naf: pre.naf && {\n      wnd: pre.naf.wnd,\n      points: [ res ].concat(pre.naf.points.map(obj2point))\n    }\n  };\n  return res;\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  return this.inf;\n};\n\nPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.inf)\n    return p;\n\n  // P + O = P\n  if (p.inf)\n    return this;\n\n  // P + P = 2P\n  if (this.eq(p))\n    return this.dbl();\n\n  // P + (-P) = O\n  if (this.neg().eq(p))\n    return this.curve.point(null, null);\n\n  // P + Q = O\n  if (this.x.cmp(p.x) === 0)\n    return this.curve.point(null, null);\n\n  var c = this.y.redSub(p.y);\n  if (c.cmpn(0) !== 0)\n    c = c.redMul(this.x.redSub(p.x).redInvm());\n  var nx = c.redSqr().redISub(this.x).redISub(p.x);\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.inf)\n    return this;\n\n  // 2P = O\n  var ys1 = this.y.redAdd(this.y);\n  if (ys1.cmpn(0) === 0)\n    return this.curve.point(null, null);\n\n  var a = this.curve.a;\n\n  var x2 = this.x.redSqr();\n  var dyinv = ys1.redInvm();\n  var c = x2.redAdd(x2).redIAdd(x2).redIAdd(a).redMul(dyinv);\n\n  var nx = c.redSqr().redISub(this.x.redAdd(this.x));\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.getX = function getX() {\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  return this.y.fromRed();\n};\n\nPoint.prototype.mul = function mul(k) {\n  k = new BN(k, 16);\n\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else if (this.curve.endo)\n    return this.curve._endoWnafMulAdd([ this ], [ k ]);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs, true);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2, true);\n};\n\nPoint.prototype.eq = function eq(p) {\n  return this === p ||\n         this.inf === p.inf &&\n             (this.inf || this.x.cmp(p.x) === 0 && this.y.cmp(p.y) === 0);\n};\n\nPoint.prototype.neg = function neg(_precompute) {\n  if (this.inf)\n    return this;\n\n  var res = this.curve.point(this.x, this.y.redNeg());\n  if (_precompute && this.precomputed) {\n    var pre = this.precomputed;\n    var negate = function(p) {\n      return p.neg();\n    };\n    res.precomputed = {\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(negate)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(negate)\n      }\n    };\n  }\n  return res;\n};\n\nPoint.prototype.toJ = function toJ() {\n  if (this.inf)\n    return this.curve.jpoint(null, null, null);\n\n  var res = this.curve.jpoint(this.x, this.y, this.curve.one);\n  return res;\n};\n\nfunction JPoint(curve, x, y, z) {\n  Base.BasePoint.call(this, curve, 'jacobian');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.one;\n    this.y = this.curve.one;\n    this.z = new BN(0);\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = new BN(z, 16);\n  }\n  if (!this.x.red)\n    this.x = this.x.toRed(this.curve.red);\n  if (!this.y.red)\n    this.y = this.y.toRed(this.curve.red);\n  if (!this.z.red)\n    this.z = this.z.toRed(this.curve.red);\n\n  this.zOne = this.z === this.curve.one;\n}\ninherits(JPoint, Base.BasePoint);\n\nShortCurve.prototype.jpoint = function jpoint(x, y, z) {\n  return new JPoint(this, x, y, z);\n};\n\nJPoint.prototype.toP = function toP() {\n  if (this.isInfinity())\n    return this.curve.point(null, null);\n\n  var zinv = this.z.redInvm();\n  var zinv2 = zinv.redSqr();\n  var ax = this.x.redMul(zinv2);\n  var ay = this.y.redMul(zinv2).redMul(zinv);\n\n  return this.curve.point(ax, ay);\n};\n\nJPoint.prototype.neg = function neg() {\n  return this.curve.jpoint(this.x, this.y.redNeg(), this.z);\n};\n\nJPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p;\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 12M + 4S + 7A\n  var pz2 = p.z.redSqr();\n  var z2 = this.z.redSqr();\n  var u1 = this.x.redMul(pz2);\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y.redMul(pz2.redMul(p.z));\n  var s2 = p.y.redMul(z2.redMul(this.z));\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(p.z).redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mixedAdd = function mixedAdd(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p.toJ();\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 8M + 3S + 7A\n  var z2 = this.z.redSqr();\n  var u1 = this.x;\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y;\n  var s2 = p.y.redMul(z2).redMul(this.z);\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.dblp = function dblp(pow) {\n  if (pow === 0)\n    return this;\n  if (this.isInfinity())\n    return this;\n  if (!pow)\n    return this.dbl();\n\n  if (this.curve.zeroA || this.curve.threeA) {\n    var r = this;\n    for (var i = 0; i < pow; i++)\n      r = r.dbl();\n    return r;\n  }\n\n  // 1M + 2S + 1A + N * (4S + 5M + 8A)\n  // N = 1 => 6M + 6S + 9A\n  var a = this.curve.a;\n  var tinv = this.curve.tinv;\n\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  // Reuse results\n  var jyd = jy.redAdd(jy);\n  for (var i = 0; i < pow; i++) {\n    var jx2 = jx.redSqr();\n    var jyd2 = jyd.redSqr();\n    var jyd4 = jyd2.redSqr();\n    var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n    var t1 = jx.redMul(jyd2);\n    var nx = c.redSqr().redISub(t1.redAdd(t1));\n    var t2 = t1.redISub(nx);\n    var dny = c.redMul(t2);\n    dny = dny.redIAdd(dny).redISub(jyd4);\n    var nz = jyd.redMul(jz);\n    if (i + 1 < pow)\n      jz4 = jz4.redMul(jyd4);\n\n    jx = nx;\n    jz = nz;\n    jyd = dny;\n  }\n\n  return this.curve.jpoint(jx, jyd.redMul(tinv), jz);\n};\n\nJPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  if (this.curve.zeroA)\n    return this._zeroDbl();\n  else if (this.curve.threeA)\n    return this._threeDbl();\n  else\n    return this._dbl();\n};\n\nJPoint.prototype._zeroDbl = function _zeroDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 14A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a; a = 0\n    var m = xx.redAdd(xx).redIAdd(xx);\n    // T = M ^ 2 - 2*S\n    var t = m.redSqr().redISub(s).redISub(s);\n\n    // 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2*Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-dbl-2009-l\n    // 2M + 5S + 13A\n\n    // A = X1^2\n    var a = this.x.redSqr();\n    // B = Y1^2\n    var b = this.y.redSqr();\n    // C = B^2\n    var c = b.redSqr();\n    // D = 2 * ((X1 + B)^2 - A - C)\n    var d = this.x.redAdd(b).redSqr().redISub(a).redISub(c);\n    d = d.redIAdd(d);\n    // E = 3 * A\n    var e = a.redAdd(a).redIAdd(a);\n    // F = E^2\n    var f = e.redSqr();\n\n    // 8 * C\n    var c8 = c.redIAdd(c);\n    c8 = c8.redIAdd(c8);\n    c8 = c8.redIAdd(c8);\n\n    // X3 = F - 2 * D\n    nx = f.redISub(d).redISub(d);\n    // Y3 = E * (D - X3) - 8 * C\n    ny = e.redMul(d.redISub(nx)).redISub(c8);\n    // Z3 = 2 * Y1 * Z1\n    nz = this.y.redMul(this.z);\n    nz = nz.redIAdd(nz);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._threeDbl = function _threeDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 15A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a\n    var m = xx.redAdd(xx).redIAdd(xx).redIAdd(this.curve.a);\n    // T = M^2 - 2 * S\n    var t = m.redSqr().redISub(s).redISub(s);\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2 * Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html#doubling-dbl-2001-b\n    // 3M + 5S\n\n    // delta = Z1^2\n    var delta = this.z.redSqr();\n    // gamma = Y1^2\n    var gamma = this.y.redSqr();\n    // beta = X1 * gamma\n    var beta = this.x.redMul(gamma);\n    // alpha = 3 * (X1 - delta) * (X1 + delta)\n    var alpha = this.x.redSub(delta).redMul(this.x.redAdd(delta));\n    alpha = alpha.redAdd(alpha).redIAdd(alpha);\n    // X3 = alpha^2 - 8 * beta\n    var beta4 = beta.redIAdd(beta);\n    beta4 = beta4.redIAdd(beta4);\n    var beta8 = beta4.redAdd(beta4);\n    nx = alpha.redSqr().redISub(beta8);\n    // Z3 = (Y1 + Z1)^2 - gamma - delta\n    nz = this.y.redAdd(this.z).redSqr().redISub(gamma).redISub(delta);\n    // Y3 = alpha * (4 * beta - X3) - 8 * gamma^2\n    var ggamma8 = gamma.redSqr();\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ny = alpha.redMul(beta4.redISub(nx)).redISub(ggamma8);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._dbl = function _dbl() {\n  var a = this.curve.a;\n\n  // 4M + 6S + 10A\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  var jx2 = jx.redSqr();\n  var jy2 = jy.redSqr();\n\n  var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n  var jxd4 = jx.redAdd(jx);\n  jxd4 = jxd4.redIAdd(jxd4);\n  var t1 = jxd4.redMul(jy2);\n  var nx = c.redSqr().redISub(t1.redAdd(t1));\n  var t2 = t1.redISub(nx);\n\n  var jyd8 = jy2.redSqr();\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  var ny = c.redMul(t2).redISub(jyd8);\n  var nz = jy.redAdd(jy).redMul(jz);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.trpl = function trpl() {\n  if (!this.curve.zeroA)\n    return this.dbl().add(this);\n\n  // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#tripling-tpl-2007-bl\n  // 5M + 10S + ...\n\n  // XX = X1^2\n  var xx = this.x.redSqr();\n  // YY = Y1^2\n  var yy = this.y.redSqr();\n  // ZZ = Z1^2\n  var zz = this.z.redSqr();\n  // YYYY = YY^2\n  var yyyy = yy.redSqr();\n  // M = 3 * XX + a * ZZ2; a = 0\n  var m = xx.redAdd(xx).redIAdd(xx);\n  // MM = M^2\n  var mm = m.redSqr();\n  // E = 6 * ((X1 + YY)^2 - XX - YYYY) - MM\n  var e = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n  e = e.redIAdd(e);\n  e = e.redAdd(e).redIAdd(e);\n  e = e.redISub(mm);\n  // EE = E^2\n  var ee = e.redSqr();\n  // T = 16*YYYY\n  var t = yyyy.redIAdd(yyyy);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  // U = (M + E)^2 - MM - EE - T\n  var u = m.redIAdd(e).redSqr().redISub(mm).redISub(ee).redISub(t);\n  // X3 = 4 * (X1 * EE - 4 * YY * U)\n  var yyu4 = yy.redMul(u);\n  yyu4 = yyu4.redIAdd(yyu4);\n  yyu4 = yyu4.redIAdd(yyu4);\n  var nx = this.x.redMul(ee).redISub(yyu4);\n  nx = nx.redIAdd(nx);\n  nx = nx.redIAdd(nx);\n  // Y3 = 8 * Y1 * (U * (T - U) - E * EE)\n  var ny = this.y.redMul(u.redMul(t.redISub(u)).redISub(e.redMul(ee)));\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  // Z3 = (Z1 + E)^2 - ZZ - EE\n  var nz = this.z.redAdd(e).redSqr().redISub(zz).redISub(ee);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mul = function mul(k, kbase) {\n  k = new BN(k, kbase);\n\n  return this.curve._wnafMul(this, k);\n};\n\nJPoint.prototype.eq = function eq(p) {\n  if (p.type === 'affine')\n    return this.eq(p.toJ());\n\n  if (this === p)\n    return true;\n\n  // x1 * z2^2 == x2 * z1^2\n  var z2 = this.z.redSqr();\n  var pz2 = p.z.redSqr();\n  if (this.x.redMul(pz2).redISub(p.x.redMul(z2)).cmpn(0) !== 0)\n    return false;\n\n  // y1 * z2^3 == y2 * z1^3\n  var z3 = z2.redMul(this.z);\n  var pz3 = pz2.redMul(p.z);\n  return this.y.redMul(pz3).redISub(p.y.redMul(z3)).cmpn(0) === 0;\n};\n\nJPoint.prototype.eqXToP = function eqXToP(x) {\n  var zs = this.z.redSqr();\n  var rx = x.toRed(this.curve.red).redMul(zs);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(zs);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n};\n\nJPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC JPoint Infinity>';\n  return '<EC JPoint x: ' + this.x.toString(16, 2) +\n      ' y: ' + this.y.toString(16, 2) +\n      ' z: ' + this.z.toString(16, 2) + '>';\n};\n\nJPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar getNAF = utils.getNAF;\nvar getJSF = utils.getJSF;\nvar assert = utils.assert;\n\nfunction BaseCurve(type, conf) {\n  this.type = type;\n  this.p = new BN(conf.p, 16);\n\n  // Use Montgomery, when there is no fast reduction for the prime\n  this.red = conf.prime ? BN.red(conf.prime) : BN.mont(this.p);\n\n  // Useful for many curves\n  this.zero = new BN(0).toRed(this.red);\n  this.one = new BN(1).toRed(this.red);\n  this.two = new BN(2).toRed(this.red);\n\n  // Curve configuration, optional\n  this.n = conf.n && new BN(conf.n, 16);\n  this.g = conf.g && this.pointFromJSON(conf.g, conf.gRed);\n\n  // Temporary arrays\n  this._wnafT1 = new Array(4);\n  this._wnafT2 = new Array(4);\n  this._wnafT3 = new Array(4);\n  this._wnafT4 = new Array(4);\n\n  // Generalized Greg Maxwell's trick\n  var adjustCount = this.n && this.p.div(this.n);\n  if (!adjustCount || adjustCount.cmpn(100) > 0) {\n    this.redN = null;\n  } else {\n    this._maxwellTrick = true;\n    this.redN = this.n.toRed(this.red);\n  }\n}\nmodule.exports = BaseCurve;\n\nBaseCurve.prototype.point = function point() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype.validate = function validate() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype._fixedNafMul = function _fixedNafMul(p, k) {\n  assert(p.precomputed);\n  var doubles = p._getDoubles();\n\n  var naf = getNAF(k, 1);\n  var I = (1 << (doubles.step + 1)) - (doubles.step % 2 === 0 ? 2 : 1);\n  I /= 3;\n\n  // Translate into more windowed form\n  var repr = [];\n  for (var j = 0; j < naf.length; j += doubles.step) {\n    var nafW = 0;\n    for (var k = j + doubles.step - 1; k >= j; k--)\n      nafW = (nafW << 1) + naf[k];\n    repr.push(nafW);\n  }\n\n  var a = this.jpoint(null, null, null);\n  var b = this.jpoint(null, null, null);\n  for (var i = I; i > 0; i--) {\n    for (var j = 0; j < repr.length; j++) {\n      var nafW = repr[j];\n      if (nafW === i)\n        b = b.mixedAdd(doubles.points[j]);\n      else if (nafW === -i)\n        b = b.mixedAdd(doubles.points[j].neg());\n    }\n    a = a.add(b);\n  }\n  return a.toP();\n};\n\nBaseCurve.prototype._wnafMul = function _wnafMul(p, k) {\n  var w = 4;\n\n  // Precompute window\n  var nafPoints = p._getNAFPoints(w);\n  w = nafPoints.wnd;\n  var wnd = nafPoints.points;\n\n  // Get NAF form\n  var naf = getNAF(k, w);\n\n  // Add `this`*(N+1) for every w-NAF index\n  var acc = this.jpoint(null, null, null);\n  for (var i = naf.length - 1; i >= 0; i--) {\n    // Count zeroes\n    for (var k = 0; i >= 0 && naf[i] === 0; i--)\n      k++;\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n\n    if (i < 0)\n      break;\n    var z = naf[i];\n    assert(z !== 0);\n    if (p.type === 'affine') {\n      // J +- P\n      if (z > 0)\n        acc = acc.mixedAdd(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.mixedAdd(wnd[(-z - 1) >> 1].neg());\n    } else {\n      // J +- J\n      if (z > 0)\n        acc = acc.add(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.add(wnd[(-z - 1) >> 1].neg());\n    }\n  }\n  return p.type === 'affine' ? acc.toP() : acc;\n};\n\nBaseCurve.prototype._wnafMulAdd = function _wnafMulAdd(defW,\n                                                       points,\n                                                       coeffs,\n                                                       len,\n                                                       jacobianResult) {\n  var wndWidth = this._wnafT1;\n  var wnd = this._wnafT2;\n  var naf = this._wnafT3;\n\n  // Fill all arrays\n  var max = 0;\n  for (var i = 0; i < len; i++) {\n    var p = points[i];\n    var nafPoints = p._getNAFPoints(defW);\n    wndWidth[i] = nafPoints.wnd;\n    wnd[i] = nafPoints.points;\n  }\n\n  // Comb small window NAFs\n  for (var i = len - 1; i >= 1; i -= 2) {\n    var a = i - 1;\n    var b = i;\n    if (wndWidth[a] !== 1 || wndWidth[b] !== 1) {\n      naf[a] = getNAF(coeffs[a], wndWidth[a]);\n      naf[b] = getNAF(coeffs[b], wndWidth[b]);\n      max = Math.max(naf[a].length, max);\n      max = Math.max(naf[b].length, max);\n      continue;\n    }\n\n    var comb = [\n      points[a], /* 1 */\n      null, /* 3 */\n      null, /* 5 */\n      points[b] /* 7 */\n    ];\n\n    // Try to avoid Projective points, if possible\n    if (points[a].y.cmp(points[b].y) === 0) {\n      comb[1] = points[a].add(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    } else if (points[a].y.cmp(points[b].y.redNeg()) === 0) {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].add(points[b].neg());\n    } else {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    }\n\n    var index = [\n      -3, /* -1 -1 */\n      -1, /* -1 0 */\n      -5, /* -1 1 */\n      -7, /* 0 -1 */\n      0, /* 0 0 */\n      7, /* 0 1 */\n      5, /* 1 -1 */\n      1, /* 1 0 */\n      3  /* 1 1 */\n    ];\n\n    var jsf = getJSF(coeffs[a], coeffs[b]);\n    max = Math.max(jsf[0].length, max);\n    naf[a] = new Array(max);\n    naf[b] = new Array(max);\n    for (var j = 0; j < max; j++) {\n      var ja = jsf[0][j] | 0;\n      var jb = jsf[1][j] | 0;\n\n      naf[a][j] = index[(ja + 1) * 3 + (jb + 1)];\n      naf[b][j] = 0;\n      wnd[a] = comb;\n    }\n  }\n\n  var acc = this.jpoint(null, null, null);\n  var tmp = this._wnafT4;\n  for (var i = max; i >= 0; i--) {\n    var k = 0;\n\n    while (i >= 0) {\n      var zero = true;\n      for (var j = 0; j < len; j++) {\n        tmp[j] = naf[j][i] | 0;\n        if (tmp[j] !== 0)\n          zero = false;\n      }\n      if (!zero)\n        break;\n      k++;\n      i--;\n    }\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n    if (i < 0)\n      break;\n\n    for (var j = 0; j < len; j++) {\n      var z = tmp[j];\n      var p;\n      if (z === 0)\n        continue;\n      else if (z > 0)\n        p = wnd[j][(z - 1) >> 1];\n      else if (z < 0)\n        p = wnd[j][(-z - 1) >> 1].neg();\n\n      if (p.type === 'affine')\n        acc = acc.mixedAdd(p);\n      else\n        acc = acc.add(p);\n    }\n  }\n  // Zeroify references\n  for (var i = 0; i < len; i++)\n    wnd[i] = null;\n\n  if (jacobianResult)\n    return acc;\n  else\n    return acc.toP();\n};\n\nfunction BasePoint(curve, type) {\n  this.curve = curve;\n  this.type = type;\n  this.precomputed = null;\n}\nBaseCurve.BasePoint = BasePoint;\n\nBasePoint.prototype.eq = function eq(/*other*/) {\n  throw new Error('Not implemented');\n};\n\nBasePoint.prototype.validate = function validate() {\n  return this.curve.validate(this);\n};\n\nBaseCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  bytes = utils.toArray(bytes, enc);\n\n  var len = this.p.byteLength();\n\n  // uncompressed, hybrid-odd, hybrid-even\n  if ((bytes[0] === 0x04 || bytes[0] === 0x06 || bytes[0] === 0x07) &&\n      bytes.length - 1 === 2 * len) {\n    if (bytes[0] === 0x06)\n      assert(bytes[bytes.length - 1] % 2 === 0);\n    else if (bytes[0] === 0x07)\n      assert(bytes[bytes.length - 1] % 2 === 1);\n\n    var res =  this.point(bytes.slice(1, 1 + len),\n                          bytes.slice(1 + len, 1 + 2 * len));\n\n    return res;\n  } else if ((bytes[0] === 0x02 || bytes[0] === 0x03) &&\n              bytes.length - 1 === len) {\n    return this.pointFromX(bytes.slice(1, 1 + len), bytes[0] === 0x03);\n  }\n  throw new Error('Unknown point format');\n};\n\nBasePoint.prototype.encodeCompressed = function encodeCompressed(enc) {\n  return this.encode(enc, true);\n};\n\nBasePoint.prototype._encode = function _encode(compact) {\n  var len = this.curve.p.byteLength();\n  var x = this.getX().toArray('be', len);\n\n  if (compact)\n    return [ this.getY().isEven() ? 0x02 : 0x03 ].concat(x);\n\n  return [ 0x04 ].concat(x, this.getY().toArray('be', len)) ;\n};\n\nBasePoint.prototype.encode = function encode(enc, compact) {\n  return utils.encode(this._encode(compact), enc);\n};\n\nBasePoint.prototype.precompute = function precompute(power) {\n  if (this.precomputed)\n    return this;\n\n  var precomputed = {\n    doubles: null,\n    naf: null,\n    beta: null\n  };\n  precomputed.naf = this._getNAFPoints(8);\n  precomputed.doubles = this._getDoubles(4, power);\n  precomputed.beta = this._getBeta();\n  this.precomputed = precomputed;\n\n  return this;\n};\n\nBasePoint.prototype._hasDoubles = function _hasDoubles(k) {\n  if (!this.precomputed)\n    return false;\n\n  var doubles = this.precomputed.doubles;\n  if (!doubles)\n    return false;\n\n  return doubles.points.length >= Math.ceil((k.bitLength() + 1) / doubles.step);\n};\n\nBasePoint.prototype._getDoubles = function _getDoubles(step, power) {\n  if (this.precomputed && this.precomputed.doubles)\n    return this.precomputed.doubles;\n\n  var doubles = [ this ];\n  var acc = this;\n  for (var i = 0; i < power; i += step) {\n    for (var j = 0; j < step; j++)\n      acc = acc.dbl();\n    doubles.push(acc);\n  }\n  return {\n    step: step,\n    points: doubles\n  };\n};\n\nBasePoint.prototype._getNAFPoints = function _getNAFPoints(wnd) {\n  if (this.precomputed && this.precomputed.naf)\n    return this.precomputed.naf;\n\n  var res = [ this ];\n  var max = (1 << wnd) - 1;\n  var dbl = max === 1 ? null : this.dbl();\n  for (var i = 1; i < max; i++)\n    res[i] = res[i - 1].add(dbl);\n  return {\n    wnd: wnd,\n    points: res\n  };\n};\n\nBasePoint.prototype._getBeta = function _getBeta() {\n  return null;\n};\n\nBasePoint.prototype.dblp = function dblp(k) {\n  var r = this;\n  for (var i = 0; i < k; i++)\n    r = r.dbl();\n  return r;\n};\n","'use strict';\n\nvar utils = exports;\nvar BN = require('bn.js');\nvar minAssert = require('minimalistic-assert');\nvar minUtils = require('minimalistic-crypto-utils');\n\nutils.assert = minAssert;\nutils.toArray = minUtils.toArray;\nutils.zero2 = minUtils.zero2;\nutils.toHex = minUtils.toHex;\nutils.encode = minUtils.encode;\n\n// Represent num in a w-NAF form\nfunction getNAF(num, w) {\n  var naf = [];\n  var ws = 1 << (w + 1);\n  var k = num.clone();\n  while (k.cmpn(1) >= 0) {\n    var z;\n    if (k.isOdd()) {\n      var mod = k.andln(ws - 1);\n      if (mod > (ws >> 1) - 1)\n        z = (ws >> 1) - mod;\n      else\n        z = mod;\n      k.isubn(z);\n    } else {\n      z = 0;\n    }\n    naf.push(z);\n\n    // Optimization, shift by word if possible\n    var shift = (k.cmpn(0) !== 0 && k.andln(ws - 1) === 0) ? (w + 1) : 1;\n    for (var i = 1; i < shift; i++)\n      naf.push(0);\n    k.iushrn(shift);\n  }\n\n  return naf;\n}\nutils.getNAF = getNAF;\n\n// Represent k1, k2 in a Joint Sparse Form\nfunction getJSF(k1, k2) {\n  var jsf = [\n    [],\n    []\n  ];\n\n  k1 = k1.clone();\n  k2 = k2.clone();\n  var d1 = 0;\n  var d2 = 0;\n  while (k1.cmpn(-d1) > 0 || k2.cmpn(-d2) > 0) {\n\n    // First phase\n    var m14 = (k1.andln(3) + d1) & 3;\n    var m24 = (k2.andln(3) + d2) & 3;\n    if (m14 === 3)\n      m14 = -1;\n    if (m24 === 3)\n      m24 = -1;\n    var u1;\n    if ((m14 & 1) === 0) {\n      u1 = 0;\n    } else {\n      var m8 = (k1.andln(7) + d1) & 7;\n      if ((m8 === 3 || m8 === 5) && m24 === 2)\n        u1 = -m14;\n      else\n        u1 = m14;\n    }\n    jsf[0].push(u1);\n\n    var u2;\n    if ((m24 & 1) === 0) {\n      u2 = 0;\n    } else {\n      var m8 = (k2.andln(7) + d2) & 7;\n      if ((m8 === 3 || m8 === 5) && m14 === 2)\n        u2 = -m24;\n      else\n        u2 = m24;\n    }\n    jsf[1].push(u2);\n\n    // Second phase\n    if (2 * d1 === u1 + 1)\n      d1 = 1 - d1;\n    if (2 * d2 === u2 + 1)\n      d2 = 1 - d2;\n    k1.iushrn(1);\n    k2.iushrn(1);\n  }\n\n  return jsf;\n}\nutils.getJSF = getJSF;\n\nfunction cachedProperty(obj, name, computer) {\n  var key = '_' + name;\n  obj.prototype[name] = function cachedProperty() {\n    return this[key] !== undefined ? this[key] :\n           this[key] = computer.call(this);\n  };\n}\nutils.cachedProperty = cachedProperty;\n\nfunction parseBytes(bytes) {\n  return typeof bytes === 'string' ? utils.toArray(bytes, 'hex') :\n                                     bytes;\n}\nutils.parseBytes = parseBytes;\n\nfunction intFromLE(bytes) {\n  return new BN(bytes, 'hex', 'le');\n}\nutils.intFromLE = intFromLE;\n\n","// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js\nvar createHmac = require('create-hmac')\nvar crt = require('browserify-rsa')\nvar EC = require('elliptic').ec\nvar BN = require('bn.js')\nvar parseKeys = require('parse-asn1')\nvar curves = require('./curves.json')\n\nfunction sign (hash, key, hashType, signType, tag) {\n  var priv = parseKeys(key)\n  if (priv.curve) {\n    // rsa keys can be interpreted as ecdsa ones in openssl\n    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')\n    return ecSign(hash, priv)\n  } else if (priv.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong private key type')\n    return dsaSign(hash, priv, hashType)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = priv.modulus.byteLength()\n  var pad = [ 0, 1 ]\n  while (hash.length + pad.length + 1 < len) pad.push(0xff)\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) pad.push(hash[i])\n\n  var out = crt(pad, priv)\n  return out\n}\n\nfunction ecSign (hash, priv) {\n  var curveId = curves[priv.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + priv.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var key = curve.keyFromPrivate(priv.privateKey)\n  var out = key.sign(hash)\n\n  return new Buffer(out.toDER())\n}\n\nfunction dsaSign (hash, priv, algo) {\n  var x = priv.params.priv_key\n  var p = priv.params.p\n  var q = priv.params.q\n  var g = priv.params.g\n  var r = new BN(0)\n  var k\n  var H = bits2int(hash, q).mod(q)\n  var s = false\n  var kv = getKey(x, q, hash, algo)\n  while (s === false) {\n    k = makeKey(q, kv, algo)\n    r = makeR(g, k, p, q)\n    s = k.invm(q).imul(H.add(x.mul(r))).mod(q)\n    if (s.cmpn(0) === 0) {\n      s = false\n      r = new BN(0)\n    }\n  }\n  return toDER(r, s)\n}\n\nfunction toDER (r, s) {\n  r = r.toArray()\n  s = s.toArray()\n\n  // Pad values\n  if (r[0] & 0x80) r = [ 0 ].concat(r)\n  if (s[0] & 0x80) s = [ 0 ].concat(s)\n\n  var total = r.length + s.length + 4\n  var res = [ 0x30, total, 0x02, r.length ]\n  res = res.concat(r, [ 0x02, s.length ], s)\n  return new Buffer(res)\n}\n\nfunction getKey (x, q, hash, algo) {\n  x = new Buffer(x.toArray())\n  if (x.length < q.byteLength()) {\n    var zeros = new Buffer(q.byteLength() - x.length)\n    zeros.fill(0)\n    x = Buffer.concat([ zeros, x ])\n  }\n  var hlen = hash.length\n  var hbits = bits2octets(hash, q)\n  var v = new Buffer(hlen)\n  v.fill(1)\n  var k = new Buffer(hlen)\n  k.fill(0)\n  k = createHmac(algo, k).update(v).update(new Buffer([ 0 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  k = createHmac(algo, k).update(v).update(new Buffer([ 1 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  return { k: k, v: v }\n}\n\nfunction bits2int (obits, q) {\n  var bits = new BN(obits)\n  var shift = (obits.length << 3) - q.bitLength()\n  if (shift > 0) bits.ishrn(shift)\n  return bits\n}\n\nfunction bits2octets (bits, q) {\n  bits = bits2int(bits, q)\n  bits = bits.mod(q)\n  var out = new Buffer(bits.toArray())\n  if (out.length < q.byteLength()) {\n    var zeros = new Buffer(q.byteLength() - out.length)\n    zeros.fill(0)\n    out = Buffer.concat([ zeros, out ])\n  }\n  return out\n}\n\nfunction makeKey (q, kv, algo) {\n  var t\n  var k\n\n  do {\n    t = new Buffer(0)\n\n    while (t.length * 8 < q.bitLength()) {\n      kv.v = createHmac(algo, kv.k).update(kv.v).digest()\n      t = Buffer.concat([ t, kv.v ])\n    }\n\n    k = bits2int(t, q)\n    kv.k = createHmac(algo, kv.k).update(kv.v).update(new Buffer([ 0 ])).digest()\n    kv.v = createHmac(algo, kv.k).update(kv.v).digest()\n  } while (k.cmp(q) !== -1)\n\n  return k\n}\n\nfunction makeR (g, k, p, q) {\n  return g.toRed(BN.mont(p)).redPow(k).fromRed().mod(q)\n}\n\nmodule.exports = sign\nmodule.exports.getKey = getKey\nmodule.exports.makeKey = makeKey\n","var createHash = require('create-hash')\nvar stream = require('stream')\nvar inherits = require('inherits')\nvar sign = require('./sign')\nvar verify = require('./verify')\n\nvar algorithms = require('./algorithms.json')\nObject.keys(algorithms).forEach(function (key) {\n  algorithms[key].id = new Buffer(algorithms[key].id, 'hex')\n  algorithms[key.toLowerCase()] = algorithms[key]\n})\n\nfunction Sign (algorithm) {\n  stream.Writable.call(this)\n\n  var data = algorithms[algorithm]\n  if (!data) throw new Error('Unknown message digest')\n\n  this._hashType = data.hash\n  this._hash = createHash(data.hash)\n  this._tag = data.id\n  this._signType = data.sign\n}\ninherits(Sign, stream.Writable)\n\nSign.prototype._write = function _write (data, _, done) {\n  this._hash.update(data)\n  done()\n}\n\nSign.prototype.update = function update (data, enc) {\n  if (typeof data === 'string') data = new Buffer(data, enc)\n\n  this._hash.update(data)\n  return this\n}\n\nSign.prototype.sign = function signMethod (key, enc) {\n  this.end()\n  var hash = this._hash.digest()\n  var sig = sign(hash, key, this._hashType, this._signType, this._tag)\n\n  return enc ? sig.toString(enc) : sig\n}\n\nfunction Verify (algorithm) {\n  stream.Writable.call(this)\n\n  var data = algorithms[algorithm]\n  if (!data) throw new Error('Unknown message digest')\n\n  this._hash = createHash(data.hash)\n  this._tag = data.id\n  this._signType = data.sign\n}\ninherits(Verify, stream.Writable)\n\nVerify.prototype._write = function _write (data, _, done) {\n  this._hash.update(data)\n  done()\n}\n\nVerify.prototype.update = function update (data, enc) {\n  if (typeof data === 'string') data = new Buffer(data, enc)\n\n  this._hash.update(data)\n  return this\n}\n\nVerify.prototype.verify = function verifyMethod (key, sig, enc) {\n  if (typeof sig === 'string') sig = new Buffer(sig, enc)\n\n  this.end()\n  var hash = this._hash.digest()\n  return verify(sig, hash, key, this._signType, this._tag)\n}\n\nfunction createSign (algorithm) {\n  return new Sign(algorithm)\n}\n\nfunction createVerify (algorithm) {\n  return new Verify(algorithm)\n}\n\nmodule.exports = {\n  Sign: createSign,\n  Verify: createVerify,\n  createSign: createSign,\n  createVerify: createVerify\n}\n","var BN = require('bn.js');\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar TWENTYFOUR = new BN(24);\nvar ELEVEN = new BN(11);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar primes = require('./generatePrime');\nvar randomBytes = require('randombytes');\nmodule.exports = DH;\n\nfunction setPublicKey(pub, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(pub)) {\n    pub = new Buffer(pub, enc);\n  }\n  this._pub = new BN(pub);\n  return this;\n}\n\nfunction setPrivateKey(priv, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(priv)) {\n    priv = new Buffer(priv, enc);\n  }\n  this._priv = new BN(priv);\n  return this;\n}\n\nvar primeCache = {};\nfunction checkPrime(prime, generator) {\n  var gen = generator.toString('hex');\n  var hex = [gen, prime.toString(16)].join('_');\n  if (hex in primeCache) {\n    return primeCache[hex];\n  }\n  var error = 0;\n\n  if (prime.isEven() ||\n    !primes.simpleSieve ||\n    !primes.fermatTest(prime) ||\n    !millerRabin.test(prime)) {\n    //not a prime so +1\n    error += 1;\n\n    if (gen === '02' || gen === '05') {\n      // we'd be able to check the generator\n      // it would fail so +8\n      error += 8;\n    } else {\n      //we wouldn't be able to test the generator\n      // so +4\n      error += 4;\n    }\n    primeCache[hex] = error;\n    return error;\n  }\n  if (!millerRabin.test(prime.shrn(1))) {\n    //not a safe prime\n    error += 2;\n  }\n  var rem;\n  switch (gen) {\n    case '02':\n      if (prime.mod(TWENTYFOUR).cmp(ELEVEN)) {\n        // unsuidable generator\n        error += 8;\n      }\n      break;\n    case '05':\n      rem = prime.mod(TEN);\n      if (rem.cmp(THREE) && rem.cmp(SEVEN)) {\n        // prime mod 10 needs to equal 3 or 7\n        error += 8;\n      }\n      break;\n    default:\n      error += 4;\n  }\n  primeCache[hex] = error;\n  return error;\n}\n\nfunction DH(prime, generator, malleable) {\n  this.setGenerator(generator);\n  this.__prime = new BN(prime);\n  this._prime = BN.mont(this.__prime);\n  this._primeLen = prime.length;\n  this._pub = undefined;\n  this._priv = undefined;\n  this._primeCode = undefined;\n  if (malleable) {\n    this.setPublicKey = setPublicKey;\n    this.setPrivateKey = setPrivateKey;\n  } else {\n    this._primeCode = 8;\n  }\n}\nObject.defineProperty(DH.prototype, 'verifyError', {\n  enumerable: true,\n  get: function () {\n    if (typeof this._primeCode !== 'number') {\n      this._primeCode = checkPrime(this.__prime, this.__gen);\n    }\n    return this._primeCode;\n  }\n});\nDH.prototype.generateKeys = function () {\n  if (!this._priv) {\n    this._priv = new BN(randomBytes(this._primeLen));\n  }\n  this._pub = this._gen.toRed(this._prime).redPow(this._priv).fromRed();\n  return this.getPublicKey();\n};\n\nDH.prototype.computeSecret = function (other) {\n  other = new BN(other);\n  other = other.toRed(this._prime);\n  var secret = other.redPow(this._priv).fromRed();\n  var out = new Buffer(secret.toArray());\n  var prime = this.getPrime();\n  if (out.length < prime.length) {\n    var front = new Buffer(prime.length - out.length);\n    front.fill(0);\n    out = Buffer.concat([front, out]);\n  }\n  return out;\n};\n\nDH.prototype.getPublicKey = function getPublicKey(enc) {\n  return formatReturnValue(this._pub, enc);\n};\n\nDH.prototype.getPrivateKey = function getPrivateKey(enc) {\n  return formatReturnValue(this._priv, enc);\n};\n\nDH.prototype.getPrime = function (enc) {\n  return formatReturnValue(this.__prime, enc);\n};\n\nDH.prototype.getGenerator = function (enc) {\n  return formatReturnValue(this._gen, enc);\n};\n\nDH.prototype.setGenerator = function (gen, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(gen)) {\n    gen = new Buffer(gen, enc);\n  }\n  this.__gen = gen;\n  this._gen = new BN(gen);\n  return this;\n};\n\nfunction formatReturnValue(bn, enc) {\n  var buf = new Buffer(bn.toArray());\n  if (!enc) {\n    return buf;\n  } else {\n    return buf.toString(enc);\n  }\n}\n","module.exports = function(module) {\r\n\tif (!module.webpackPolyfill) {\r\n\t\tmodule.deprecate = function() {};\r\n\t\tmodule.paths = [];\r\n\t\t// module.parent = undefined by default\r\n\t\tif (!module.children) module.children = [];\r\n\t\tObject.defineProperty(module, \"loaded\", {\r\n\t\t\tenumerable: true,\r\n\t\t\tget: function() {\r\n\t\t\t\treturn module.l;\r\n\t\t\t}\r\n\t\t});\r\n\t\tObject.defineProperty(module, \"id\", {\r\n\t\t\tenumerable: true,\r\n\t\t\tget: function() {\r\n\t\t\t\treturn module.i;\r\n\t\t\t}\r\n\t\t});\r\n\t\tmodule.webpackPolyfill = 1;\r\n\t}\r\n\treturn module;\r\n};\r\n","var generatePrime = require('./lib/generatePrime')\nvar primes = require('./lib/primes.json')\n\nvar DH = require('./lib/dh')\n\nfunction getDiffieHellman (mod) {\n  var prime = new Buffer(primes[mod].prime, 'hex')\n  var gen = new Buffer(primes[mod].gen, 'hex')\n\n  return new DH(prime, gen)\n}\n\nvar ENCODINGS = {\n  'binary': true, 'hex': true, 'base64': true\n}\n\nfunction createDiffieHellman (prime, enc, generator, genc) {\n  if (Buffer.isBuffer(enc) || ENCODINGS[enc] === undefined) {\n    return createDiffieHellman(prime, 'binary', enc, generator)\n  }\n\n  enc = enc || 'binary'\n  genc = genc || 'binary'\n  generator = generator || new Buffer([2])\n\n  if (!Buffer.isBuffer(generator)) {\n    generator = new Buffer(generator, genc)\n  }\n\n  if (typeof prime === 'number') {\n    return new DH(generatePrime(prime, generator), generator, true)\n  }\n\n  if (!Buffer.isBuffer(prime)) {\n    prime = new Buffer(prime, enc)\n  }\n\n  return new DH(prime, generator, true)\n}\n\nexports.DiffieHellmanGroup = exports.createDiffieHellmanGroup = exports.getDiffieHellman = getDiffieHellman\nexports.createDiffieHellman = exports.DiffieHellman = createDiffieHellman\n","exports['des-ecb'] = {\n  key: 8,\n  iv: 0\n}\nexports['des-cbc'] = exports.des = {\n  key: 8,\n  iv: 8\n}\nexports['des-ede3-cbc'] = exports.des3 = {\n  key: 24,\n  iv: 8\n}\nexports['des-ede3'] = {\n  key: 24,\n  iv: 0\n}\nexports['des-ede-cbc'] = {\n  key: 16,\n  iv: 8\n}\nexports['des-ede'] = {\n  key: 16,\n  iv: 0\n}\n","var AuthCipher = require('./authCipher')\nvar Buffer = require('safe-buffer').Buffer\nvar MODES = require('./modes')\nvar StreamCipher = require('./streamCipher')\nvar Transform = require('cipher-base')\nvar aes = require('./aes')\nvar ebtk = require('evp_bytestokey')\nvar inherits = require('inherits')\n\nfunction Decipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._last = void 0\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Decipher, Transform)\n\nDecipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n  while ((chunk = this._cache.get(this._autopadding))) {\n    thing = this._mode.decrypt(this, chunk)\n    out.push(thing)\n  }\n  return Buffer.concat(out)\n}\n\nDecipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    return unpad(this._mode.decrypt(this, chunk))\n  } else if (chunk) {\n    throw new Error('data not multiple of block length')\n  }\n}\n\nDecipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  return this\n}\n\nfunction Splitter () {\n  this.cache = Buffer.allocUnsafe(0)\n}\n\nSplitter.prototype.add = function (data) {\n  this.cache = Buffer.concat([this.cache, data])\n}\n\nSplitter.prototype.get = function (autoPadding) {\n  var out\n  if (autoPadding) {\n    if (this.cache.length > 16) {\n      out = this.cache.slice(0, 16)\n      this.cache = this.cache.slice(16)\n      return out\n    }\n  } else {\n    if (this.cache.length >= 16) {\n      out = this.cache.slice(0, 16)\n      this.cache = this.cache.slice(16)\n      return out\n    }\n  }\n\n  return null\n}\n\nSplitter.prototype.flush = function () {\n  if (this.cache.length) return this.cache\n}\n\nfunction unpad (last) {\n  var padded = last[15]\n  if (padded < 1 || padded > 16) {\n    throw new Error('unable to decrypt data')\n  }\n  var i = -1\n  while (++i < padded) {\n    if (last[(i + (16 - padded))] !== padded) {\n      throw new Error('unable to decrypt data')\n    }\n  }\n  if (padded === 16) return\n\n  return last.slice(0, 16 - padded)\n}\n\nfunction createDecipheriv (suite, password, iv) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  if (typeof iv === 'string') iv = Buffer.from(iv)\n  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)\n\n  if (typeof password === 'string') password = Buffer.from(password)\n  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)\n\n  if (config.type === 'stream') {\n    return new StreamCipher(config.module, password, iv, true)\n  } else if (config.type === 'auth') {\n    return new AuthCipher(config.module, password, iv, true)\n  }\n\n  return new Decipher(config.module, password, iv)\n}\n\nfunction createDecipher (suite, password) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  var keys = ebtk(password, false, config.key, config.iv)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nexports.createDecipher = createDecipher\nexports.createDecipheriv = createDecipheriv\n","var Buffer = require('safe-buffer').Buffer\nvar ZEROES = Buffer.alloc(16, 0)\n\nfunction toArray (buf) {\n  return [\n    buf.readUInt32BE(0),\n    buf.readUInt32BE(4),\n    buf.readUInt32BE(8),\n    buf.readUInt32BE(12)\n  ]\n}\n\nfunction fromArray (out) {\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0] >>> 0, 0)\n  buf.writeUInt32BE(out[1] >>> 0, 4)\n  buf.writeUInt32BE(out[2] >>> 0, 8)\n  buf.writeUInt32BE(out[3] >>> 0, 12)\n  return buf\n}\n\nfunction GHASH (key) {\n  this.h = key\n  this.state = Buffer.alloc(16, 0)\n  this.cache = Buffer.allocUnsafe(0)\n}\n\n// from http://bitwiseshiftleft.github.io/sjcl/doc/symbols/src/core_gcm.js.html\n// by Juho Vähä-Herttua\nGHASH.prototype.ghash = function (block) {\n  var i = -1\n  while (++i < block.length) {\n    this.state[i] ^= block[i]\n  }\n  this._multiply()\n}\n\nGHASH.prototype._multiply = function () {\n  var Vi = toArray(this.h)\n  var Zi = [0, 0, 0, 0]\n  var j, xi, lsbVi\n  var i = -1\n  while (++i < 128) {\n    xi = (this.state[~~(i / 8)] & (1 << (7 - (i % 8)))) !== 0\n    if (xi) {\n      // Z_i+1 = Z_i ^ V_i\n      Zi[0] ^= Vi[0]\n      Zi[1] ^= Vi[1]\n      Zi[2] ^= Vi[2]\n      Zi[3] ^= Vi[3]\n    }\n\n    // Store the value of LSB(V_i)\n    lsbVi = (Vi[3] & 1) !== 0\n\n    // V_i+1 = V_i >> 1\n    for (j = 3; j > 0; j--) {\n      Vi[j] = (Vi[j] >>> 1) | ((Vi[j - 1] & 1) << 31)\n    }\n    Vi[0] = Vi[0] >>> 1\n\n    // If LSB(V_i) is 1, V_i+1 = (V_i >> 1) ^ R\n    if (lsbVi) {\n      Vi[0] = Vi[0] ^ (0xe1 << 24)\n    }\n  }\n  this.state = fromArray(Zi)\n}\n\nGHASH.prototype.update = function (buf) {\n  this.cache = Buffer.concat([this.cache, buf])\n  var chunk\n  while (this.cache.length >= 16) {\n    chunk = this.cache.slice(0, 16)\n    this.cache = this.cache.slice(16)\n    this.ghash(chunk)\n  }\n}\n\nGHASH.prototype.final = function (abl, bl) {\n  if (this.cache.length) {\n    this.ghash(Buffer.concat([this.cache, ZEROES], 16))\n  }\n\n  this.ghash(fromArray([0, abl, 0, bl]))\n  return this.state\n}\n\nmodule.exports = GHASH\n","var xor = require('buffer-xor')\n\nfunction getBlock (self) {\n  self._prev = self._cipher.encryptBlock(self._prev)\n  return self._prev\n}\n\nexports.encrypt = function (self, chunk) {\n  while (self._cache.length < chunk.length) {\n    self._cache = Buffer.concat([self._cache, getBlock(self)])\n  }\n\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","var Buffer = require('safe-buffer').Buffer\n\nfunction encryptByte (self, byteParam, decrypt) {\n  var pad\n  var i = -1\n  var len = 8\n  var out = 0\n  var bit, value\n  while (++i < len) {\n    pad = self._cipher.encryptBlock(self._prev)\n    bit = (byteParam & (1 << (7 - i))) ? 0x80 : 0\n    value = pad[0] ^ bit\n    out += ((value & 0x80) >> (i % 8))\n    self._prev = shiftIn(self._prev, decrypt ? bit : value)\n  }\n  return out\n}\n\nfunction shiftIn (buffer, value) {\n  var len = buffer.length\n  var i = -1\n  var out = Buffer.allocUnsafe(buffer.length)\n  buffer = Buffer.concat([buffer, Buffer.from([value])])\n\n  while (++i < len) {\n    out[i] = buffer[i] << 1 | buffer[i + 1] >> (7)\n  }\n\n  return out\n}\n\nexports.encrypt = function (self, chunk, decrypt) {\n  var len = chunk.length\n  var out = Buffer.allocUnsafe(len)\n  var i = -1\n\n  while (++i < len) {\n    out[i] = encryptByte(self, chunk[i], decrypt)\n  }\n\n  return out\n}\n","var Buffer = require('safe-buffer').Buffer\n\nfunction encryptByte (self, byteParam, decrypt) {\n  var pad = self._cipher.encryptBlock(self._prev)\n  var out = pad[0] ^ byteParam\n\n  self._prev = Buffer.concat([\n    self._prev.slice(1),\n    Buffer.from([decrypt ? byteParam : out])\n  ])\n\n  return out\n}\n\nexports.encrypt = function (self, chunk, decrypt) {\n  var len = chunk.length\n  var out = Buffer.allocUnsafe(len)\n  var i = -1\n\n  while (++i < len) {\n    out[i] = encryptByte(self, chunk[i], decrypt)\n  }\n\n  return out\n}\n","var Buffer = require('safe-buffer').Buffer\nvar xor = require('buffer-xor')\n\nfunction encryptStart (self, data, decrypt) {\n  var len = data.length\n  var out = xor(data, self._cache)\n  self._cache = self._cache.slice(len)\n  self._prev = Buffer.concat([self._prev, decrypt ? data : out])\n  return out\n}\n\nexports.encrypt = function (self, data, decrypt) {\n  var out = Buffer.allocUnsafe(0)\n  var len\n\n  while (data.length) {\n    if (self._cache.length === 0) {\n      self._cache = self._cipher.encryptBlock(self._prev)\n      self._prev = Buffer.allocUnsafe(0)\n    }\n\n    if (self._cache.length <= data.length) {\n      len = self._cache.length\n      out = Buffer.concat([out, encryptStart(self, data.slice(0, len), decrypt)])\n      data = data.slice(len)\n    } else {\n      out = Buffer.concat([out, encryptStart(self, data, decrypt)])\n      break\n    }\n  }\n\n  return out\n}\n","var xor = require('buffer-xor')\n\nexports.encrypt = function (self, block) {\n  var data = xor(block, self._prev)\n\n  self._prev = self._cipher.encryptBlock(data)\n  return self._prev\n}\n\nexports.decrypt = function (self, block) {\n  var pad = self._prev\n\n  self._prev = block\n  var out = self._cipher.decryptBlock(block)\n\n  return xor(out, pad)\n}\n","exports.encrypt = function (self, block) {\n  return self._cipher.encryptBlock(block)\n}\n\nexports.decrypt = function (self, block) {\n  return self._cipher.decryptBlock(block)\n}\n","var MODES = require('./modes')\nvar AuthCipher = require('./authCipher')\nvar Buffer = require('safe-buffer').Buffer\nvar StreamCipher = require('./streamCipher')\nvar Transform = require('cipher-base')\nvar aes = require('./aes')\nvar ebtk = require('evp_bytestokey')\nvar inherits = require('inherits')\n\nfunction Cipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Cipher, Transform)\n\nCipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n\n  while ((chunk = this._cache.get())) {\n    thing = this._mode.encrypt(this, chunk)\n    out.push(thing)\n  }\n\n  return Buffer.concat(out)\n}\n\nvar PADDING = Buffer.alloc(16, 0x10)\n\nCipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    chunk = this._mode.encrypt(this, chunk)\n    this._cipher.scrub()\n    return chunk\n  }\n\n  if (!chunk.equals(PADDING)) {\n    this._cipher.scrub()\n    throw new Error('data not multiple of block length')\n  }\n}\n\nCipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  return this\n}\n\nfunction Splitter () {\n  this.cache = Buffer.allocUnsafe(0)\n}\n\nSplitter.prototype.add = function (data) {\n  this.cache = Buffer.concat([this.cache, data])\n}\n\nSplitter.prototype.get = function () {\n  if (this.cache.length > 15) {\n    var out = this.cache.slice(0, 16)\n    this.cache = this.cache.slice(16)\n    return out\n  }\n  return null\n}\n\nSplitter.prototype.flush = function () {\n  var len = 16 - this.cache.length\n  var padBuff = Buffer.allocUnsafe(len)\n\n  var i = -1\n  while (++i < len) {\n    padBuff.writeUInt8(len, i)\n  }\n\n  return Buffer.concat([this.cache, padBuff])\n}\n\nfunction createCipheriv (suite, password, iv) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  if (typeof password === 'string') password = Buffer.from(password)\n  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)\n\n  if (typeof iv === 'string') iv = Buffer.from(iv)\n  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)\n\n  if (config.type === 'stream') {\n    return new StreamCipher(config.module, password, iv)\n  } else if (config.type === 'auth') {\n    return new AuthCipher(config.module, password, iv)\n  }\n\n  return new Cipher(config.module, password, iv)\n}\n\nfunction createCipher (suite, password) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  var keys = ebtk(password, false, config.key, config.iv)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nexports.createCipheriv = createCipheriv\nexports.createCipher = createCipher\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar des = require('../des');\nvar Cipher = des.Cipher;\nvar DES = des.DES;\n\nfunction EDEState(type, key) {\n  assert.equal(key.length, 24, 'Invalid key length');\n\n  var k1 = key.slice(0, 8);\n  var k2 = key.slice(8, 16);\n  var k3 = key.slice(16, 24);\n\n  if (type === 'encrypt') {\n    this.ciphers = [\n      DES.create({ type: 'encrypt', key: k1 }),\n      DES.create({ type: 'decrypt', key: k2 }),\n      DES.create({ type: 'encrypt', key: k3 })\n    ];\n  } else {\n    this.ciphers = [\n      DES.create({ type: 'decrypt', key: k3 }),\n      DES.create({ type: 'encrypt', key: k2 }),\n      DES.create({ type: 'decrypt', key: k1 })\n    ];\n  }\n}\n\nfunction EDE(options) {\n  Cipher.call(this, options);\n\n  var state = new EDEState(this.type, this.options.key);\n  this._edeState = state;\n}\ninherits(EDE, Cipher);\n\nmodule.exports = EDE;\n\nEDE.create = function create(options) {\n  return new EDE(options);\n};\n\nEDE.prototype._update = function _update(inp, inOff, out, outOff) {\n  var state = this._edeState;\n\n  state.ciphers[0]._update(inp, inOff, out, outOff);\n  state.ciphers[1]._update(out, outOff, out, outOff);\n  state.ciphers[2]._update(out, outOff, out, outOff);\n};\n\nEDE.prototype._pad = DES.prototype._pad;\nEDE.prototype._unpad = DES.prototype._unpad;\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar proto = {};\n\nfunction CBCState(iv) {\n  assert.equal(iv.length, 8, 'Invalid IV length');\n\n  this.iv = new Array(8);\n  for (var i = 0; i < this.iv.length; i++)\n    this.iv[i] = iv[i];\n}\n\nfunction instantiate(Base) {\n  function CBC(options) {\n    Base.call(this, options);\n    this._cbcInit();\n  }\n  inherits(CBC, Base);\n\n  var keys = Object.keys(proto);\n  for (var i = 0; i < keys.length; i++) {\n    var key = keys[i];\n    CBC.prototype[key] = proto[key];\n  }\n\n  CBC.create = function create(options) {\n    return new CBC(options);\n  };\n\n  return CBC;\n}\n\nexports.instantiate = instantiate;\n\nproto._cbcInit = function _cbcInit() {\n  var state = new CBCState(this.options.iv);\n  this._cbcState = state;\n};\n\nproto._update = function _update(inp, inOff, out, outOff) {\n  var state = this._cbcState;\n  var superProto = this.constructor.super_.prototype;\n\n  var iv = state.iv;\n  if (this.type === 'encrypt') {\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] ^= inp[inOff + i];\n\n    superProto._update.call(this, iv, 0, out, outOff);\n\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] = out[outOff + i];\n  } else {\n    superProto._update.call(this, inp, inOff, out, outOff);\n\n    for (var i = 0; i < this.blockSize; i++)\n      out[outOff + i] ^= iv[i];\n\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] = inp[inOff + i];\n  }\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar des = require('../des');\nvar utils = des.utils;\nvar Cipher = des.Cipher;\n\nfunction DESState() {\n  this.tmp = new Array(2);\n  this.keys = null;\n}\n\nfunction DES(options) {\n  Cipher.call(this, options);\n\n  var state = new DESState();\n  this._desState = state;\n\n  this.deriveKeys(state, options.key);\n}\ninherits(DES, Cipher);\nmodule.exports = DES;\n\nDES.create = function create(options) {\n  return new DES(options);\n};\n\nvar shiftTable = [\n  1, 1, 2, 2, 2, 2, 2, 2,\n  1, 2, 2, 2, 2, 2, 2, 1\n];\n\nDES.prototype.deriveKeys = function deriveKeys(state, key) {\n  state.keys = new Array(16 * 2);\n\n  assert.equal(key.length, this.blockSize, 'Invalid key length');\n\n  var kL = utils.readUInt32BE(key, 0);\n  var kR = utils.readUInt32BE(key, 4);\n\n  utils.pc1(kL, kR, state.tmp, 0);\n  kL = state.tmp[0];\n  kR = state.tmp[1];\n  for (var i = 0; i < state.keys.length; i += 2) {\n    var shift = shiftTable[i >>> 1];\n    kL = utils.r28shl(kL, shift);\n    kR = utils.r28shl(kR, shift);\n    utils.pc2(kL, kR, state.keys, i);\n  }\n};\n\nDES.prototype._update = function _update(inp, inOff, out, outOff) {\n  var state = this._desState;\n\n  var l = utils.readUInt32BE(inp, inOff);\n  var r = utils.readUInt32BE(inp, inOff + 4);\n\n  // Initial Permutation\n  utils.ip(l, r, state.tmp, 0);\n  l = state.tmp[0];\n  r = state.tmp[1];\n\n  if (this.type === 'encrypt')\n    this._encrypt(state, l, r, state.tmp, 0);\n  else\n    this._decrypt(state, l, r, state.tmp, 0);\n\n  l = state.tmp[0];\n  r = state.tmp[1];\n\n  utils.writeUInt32BE(out, l, outOff);\n  utils.writeUInt32BE(out, r, outOff + 4);\n};\n\nDES.prototype._pad = function _pad(buffer, off) {\n  var value = buffer.length - off;\n  for (var i = off; i < buffer.length; i++)\n    buffer[i] = value;\n\n  return true;\n};\n\nDES.prototype._unpad = function _unpad(buffer) {\n  var pad = buffer[buffer.length - 1];\n  for (var i = buffer.length - pad; i < buffer.length; i++)\n    assert.equal(buffer[i], pad);\n\n  return buffer.slice(0, buffer.length - pad);\n};\n\nDES.prototype._encrypt = function _encrypt(state, lStart, rStart, out, off) {\n  var l = lStart;\n  var r = rStart;\n\n  // Apply f() x16 times\n  for (var i = 0; i < state.keys.length; i += 2) {\n    var keyL = state.keys[i];\n    var keyR = state.keys[i + 1];\n\n    // f(r, k)\n    utils.expand(r, state.tmp, 0);\n\n    keyL ^= state.tmp[0];\n    keyR ^= state.tmp[1];\n    var s = utils.substitute(keyL, keyR);\n    var f = utils.permute(s);\n\n    var t = r;\n    r = (l ^ f) >>> 0;\n    l = t;\n  }\n\n  // Reverse Initial Permutation\n  utils.rip(r, l, out, off);\n};\n\nDES.prototype._decrypt = function _decrypt(state, lStart, rStart, out, off) {\n  var l = rStart;\n  var r = lStart;\n\n  // Apply f() x16 times\n  for (var i = state.keys.length - 2; i >= 0; i -= 2) {\n    var keyL = state.keys[i];\n    var keyR = state.keys[i + 1];\n\n    // f(r, k)\n    utils.expand(l, state.tmp, 0);\n\n    keyL ^= state.tmp[0];\n    keyR ^= state.tmp[1];\n    var s = utils.substitute(keyL, keyR);\n    var f = utils.permute(s);\n\n    var t = l;\n    l = (r ^ f) >>> 0;\n    r = t;\n  }\n\n  // Reverse Initial Permutation\n  utils.rip(l, r, out, off);\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\n\nfunction Cipher(options) {\n  this.options = options;\n\n  this.type = this.options.type;\n  this.blockSize = 8;\n  this._init();\n\n  this.buffer = new Array(this.blockSize);\n  this.bufferOff = 0;\n}\nmodule.exports = Cipher;\n\nCipher.prototype._init = function _init() {\n  // Might be overrided\n};\n\nCipher.prototype.update = function update(data) {\n  if (data.length === 0)\n    return [];\n\n  if (this.type === 'decrypt')\n    return this._updateDecrypt(data);\n  else\n    return this._updateEncrypt(data);\n};\n\nCipher.prototype._buffer = function _buffer(data, off) {\n  // Append data to buffer\n  var min = Math.min(this.buffer.length - this.bufferOff, data.length - off);\n  for (var i = 0; i < min; i++)\n    this.buffer[this.bufferOff + i] = data[off + i];\n  this.bufferOff += min;\n\n  // Shift next\n  return min;\n};\n\nCipher.prototype._flushBuffer = function _flushBuffer(out, off) {\n  this._update(this.buffer, 0, out, off);\n  this.bufferOff = 0;\n  return this.blockSize;\n};\n\nCipher.prototype._updateEncrypt = function _updateEncrypt(data) {\n  var inputOff = 0;\n  var outputOff = 0;\n\n  var count = ((this.bufferOff + data.length) / this.blockSize) | 0;\n  var out = new Array(count * this.blockSize);\n\n  if (this.bufferOff !== 0) {\n    inputOff += this._buffer(data, inputOff);\n\n    if (this.bufferOff === this.buffer.length)\n      outputOff += this._flushBuffer(out, outputOff);\n  }\n\n  // Write blocks\n  var max = data.length - ((data.length - inputOff) % this.blockSize);\n  for (; inputOff < max; inputOff += this.blockSize) {\n    this._update(data, inputOff, out, outputOff);\n    outputOff += this.blockSize;\n  }\n\n  // Queue rest\n  for (; inputOff < data.length; inputOff++, this.bufferOff++)\n    this.buffer[this.bufferOff] = data[inputOff];\n\n  return out;\n};\n\nCipher.prototype._updateDecrypt = function _updateDecrypt(data) {\n  var inputOff = 0;\n  var outputOff = 0;\n\n  var count = Math.ceil((this.bufferOff + data.length) / this.blockSize) - 1;\n  var out = new Array(count * this.blockSize);\n\n  // TODO(indutny): optimize it, this is far from optimal\n  for (; count > 0; count--) {\n    inputOff += this._buffer(data, inputOff);\n    outputOff += this._flushBuffer(out, outputOff);\n  }\n\n  // Buffer rest of the input\n  inputOff += this._buffer(data, inputOff);\n\n  return out;\n};\n\nCipher.prototype.final = function final(buffer) {\n  var first;\n  if (buffer)\n    first = this.update(buffer);\n\n  var last;\n  if (this.type === 'encrypt')\n    last = this._finalEncrypt();\n  else\n    last = this._finalDecrypt();\n\n  if (first)\n    return first.concat(last);\n  else\n    return last;\n};\n\nCipher.prototype._pad = function _pad(buffer, off) {\n  if (off === 0)\n    return false;\n\n  while (off < buffer.length)\n    buffer[off++] = 0;\n\n  return true;\n};\n\nCipher.prototype._finalEncrypt = function _finalEncrypt() {\n  if (!this._pad(this.buffer, this.bufferOff))\n    return [];\n\n  var out = new Array(this.blockSize);\n  this._update(this.buffer, 0, out, 0);\n  return out;\n};\n\nCipher.prototype._unpad = function _unpad(buffer) {\n  return buffer;\n};\n\nCipher.prototype._finalDecrypt = function _finalDecrypt() {\n  assert.equal(this.bufferOff, this.blockSize, 'Not enough data to decrypt');\n  var out = new Array(this.blockSize);\n  this._flushBuffer(out, 0);\n\n  return this._unpad(out);\n};\n","'use strict';\n\nexports.readUInt32BE = function readUInt32BE(bytes, off) {\n  var res =  (bytes[0 + off] << 24) |\n             (bytes[1 + off] << 16) |\n             (bytes[2 + off] << 8) |\n             bytes[3 + off];\n  return res >>> 0;\n};\n\nexports.writeUInt32BE = function writeUInt32BE(bytes, value, off) {\n  bytes[0 + off] = value >>> 24;\n  bytes[1 + off] = (value >>> 16) & 0xff;\n  bytes[2 + off] = (value >>> 8) & 0xff;\n  bytes[3 + off] = value & 0xff;\n};\n\nexports.ip = function ip(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  for (var i = 6; i >= 0; i -= 2) {\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inR >>> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  for (var i = 6; i >= 0; i -= 2) {\n    for (var j = 1; j <= 25; j += 8) {\n      outR <<= 1;\n      outR |= (inR >>> (j + i)) & 1;\n    }\n    for (var j = 1; j <= 25; j += 8) {\n      outR <<= 1;\n      outR |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.rip = function rip(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  for (var i = 0; i < 4; i++) {\n    for (var j = 24; j >= 0; j -= 8) {\n      outL <<= 1;\n      outL |= (inR >>> (j + i)) & 1;\n      outL <<= 1;\n      outL |= (inL >>> (j + i)) & 1;\n    }\n  }\n  for (var i = 4; i < 8; i++) {\n    for (var j = 24; j >= 0; j -= 8) {\n      outR <<= 1;\n      outR |= (inR >>> (j + i)) & 1;\n      outR <<= 1;\n      outR |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.pc1 = function pc1(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  // 7, 15, 23, 31, 39, 47, 55, 63\n  // 6, 14, 22, 30, 39, 47, 55, 63\n  // 5, 13, 21, 29, 39, 47, 55, 63\n  // 4, 12, 20, 28\n  for (var i = 7; i >= 5; i--) {\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outL <<= 1;\n    outL |= (inR >> (j + i)) & 1;\n  }\n\n  // 1, 9, 17, 25, 33, 41, 49, 57\n  // 2, 10, 18, 26, 34, 42, 50, 58\n  // 3, 11, 19, 27, 35, 43, 51, 59\n  // 36, 44, 52, 60\n  for (var i = 1; i <= 3; i++) {\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outR <<= 1;\n    outR |= (inL >> (j + i)) & 1;\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.r28shl = function r28shl(num, shift) {\n  return ((num << shift) & 0xfffffff) | (num >>> (28 - shift));\n};\n\nvar pc2table = [\n  // inL => outL\n  14, 11, 17, 4, 27, 23, 25, 0,\n  13, 22, 7, 18, 5, 9, 16, 24,\n  2, 20, 12, 21, 1, 8, 15, 26,\n\n  // inR => outR\n  15, 4, 25, 19, 9, 1, 26, 16,\n  5, 11, 23, 8, 12, 7, 17, 0,\n  22, 3, 10, 14, 6, 20, 27, 24\n];\n\nexports.pc2 = function pc2(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  var len = pc2table.length >>> 1;\n  for (var i = 0; i < len; i++) {\n    outL <<= 1;\n    outL |= (inL >>> pc2table[i]) & 0x1;\n  }\n  for (var i = len; i < pc2table.length; i++) {\n    outR <<= 1;\n    outR |= (inR >>> pc2table[i]) & 0x1;\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.expand = function expand(r, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  outL = ((r & 1) << 5) | (r >>> 27);\n  for (var i = 23; i >= 15; i -= 4) {\n    outL <<= 6;\n    outL |= (r >>> i) & 0x3f;\n  }\n  for (var i = 11; i >= 3; i -= 4) {\n    outR |= (r >>> i) & 0x3f;\n    outR <<= 6;\n  }\n  outR |= ((r & 0x1f) << 1) | (r >>> 31);\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nvar sTable = [\n  14, 0, 4, 15, 13, 7, 1, 4, 2, 14, 15, 2, 11, 13, 8, 1,\n  3, 10, 10, 6, 6, 12, 12, 11, 5, 9, 9, 5, 0, 3, 7, 8,\n  4, 15, 1, 12, 14, 8, 8, 2, 13, 4, 6, 9, 2, 1, 11, 7,\n  15, 5, 12, 11, 9, 3, 7, 14, 3, 10, 10, 0, 5, 6, 0, 13,\n\n  15, 3, 1, 13, 8, 4, 14, 7, 6, 15, 11, 2, 3, 8, 4, 14,\n  9, 12, 7, 0, 2, 1, 13, 10, 12, 6, 0, 9, 5, 11, 10, 5,\n  0, 13, 14, 8, 7, 10, 11, 1, 10, 3, 4, 15, 13, 4, 1, 2,\n  5, 11, 8, 6, 12, 7, 6, 12, 9, 0, 3, 5, 2, 14, 15, 9,\n\n  10, 13, 0, 7, 9, 0, 14, 9, 6, 3, 3, 4, 15, 6, 5, 10,\n  1, 2, 13, 8, 12, 5, 7, 14, 11, 12, 4, 11, 2, 15, 8, 1,\n  13, 1, 6, 10, 4, 13, 9, 0, 8, 6, 15, 9, 3, 8, 0, 7,\n  11, 4, 1, 15, 2, 14, 12, 3, 5, 11, 10, 5, 14, 2, 7, 12,\n\n  7, 13, 13, 8, 14, 11, 3, 5, 0, 6, 6, 15, 9, 0, 10, 3,\n  1, 4, 2, 7, 8, 2, 5, 12, 11, 1, 12, 10, 4, 14, 15, 9,\n  10, 3, 6, 15, 9, 0, 0, 6, 12, 10, 11, 1, 7, 13, 13, 8,\n  15, 9, 1, 4, 3, 5, 14, 11, 5, 12, 2, 7, 8, 2, 4, 14,\n\n  2, 14, 12, 11, 4, 2, 1, 12, 7, 4, 10, 7, 11, 13, 6, 1,\n  8, 5, 5, 0, 3, 15, 15, 10, 13, 3, 0, 9, 14, 8, 9, 6,\n  4, 11, 2, 8, 1, 12, 11, 7, 10, 1, 13, 14, 7, 2, 8, 13,\n  15, 6, 9, 15, 12, 0, 5, 9, 6, 10, 3, 4, 0, 5, 14, 3,\n\n  12, 10, 1, 15, 10, 4, 15, 2, 9, 7, 2, 12, 6, 9, 8, 5,\n  0, 6, 13, 1, 3, 13, 4, 14, 14, 0, 7, 11, 5, 3, 11, 8,\n  9, 4, 14, 3, 15, 2, 5, 12, 2, 9, 8, 5, 12, 15, 3, 10,\n  7, 11, 0, 14, 4, 1, 10, 7, 1, 6, 13, 0, 11, 8, 6, 13,\n\n  4, 13, 11, 0, 2, 11, 14, 7, 15, 4, 0, 9, 8, 1, 13, 10,\n  3, 14, 12, 3, 9, 5, 7, 12, 5, 2, 10, 15, 6, 8, 1, 6,\n  1, 6, 4, 11, 11, 13, 13, 8, 12, 1, 3, 4, 7, 10, 14, 7,\n  10, 9, 15, 5, 6, 0, 8, 15, 0, 14, 5, 2, 9, 3, 2, 12,\n\n  13, 1, 2, 15, 8, 13, 4, 8, 6, 10, 15, 3, 11, 7, 1, 4,\n  10, 12, 9, 5, 3, 6, 14, 11, 5, 0, 0, 14, 12, 9, 7, 2,\n  7, 2, 11, 1, 4, 14, 1, 7, 9, 4, 12, 10, 14, 8, 2, 13,\n  0, 15, 6, 12, 10, 9, 13, 0, 15, 3, 3, 5, 5, 6, 8, 11\n];\n\nexports.substitute = function substitute(inL, inR) {\n  var out = 0;\n  for (var i = 0; i < 4; i++) {\n    var b = (inL >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  for (var i = 0; i < 4; i++) {\n    var b = (inR >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[4 * 0x40 + i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  return out >>> 0;\n};\n\nvar permuteTable = [\n  16, 25, 12, 11, 3, 20, 4, 15, 31, 17, 9, 6, 27, 14, 1, 22,\n  30, 24, 8, 18, 0, 5, 29, 23, 13, 19, 2, 26, 10, 21, 28, 7\n];\n\nexports.permute = function permute(num) {\n  var out = 0;\n  for (var i = 0; i < permuteTable.length; i++) {\n    out <<= 1;\n    out |= (num >>> permuteTable[i]) & 0x1;\n  }\n  return out >>> 0;\n};\n\nexports.padSplit = function padSplit(num, size, group) {\n  var str = num.toString(2);\n  while (str.length < size)\n    str = '0' + str;\n\n  var out = [];\n  for (var i = 0; i < size; i += group)\n    out.push(str.slice(i, i + group));\n  return out.join(' ');\n};\n","var CipherBase = require('cipher-base')\nvar des = require('des.js')\nvar inherits = require('inherits')\nvar Buffer = require('safe-buffer').Buffer\n\nvar modes = {\n  'des-ede3-cbc': des.CBC.instantiate(des.EDE),\n  'des-ede3': des.EDE,\n  'des-ede-cbc': des.CBC.instantiate(des.EDE),\n  'des-ede': des.EDE,\n  'des-cbc': des.CBC.instantiate(des.DES),\n  'des-ecb': des.DES\n}\nmodes.des = modes['des-cbc']\nmodes.des3 = modes['des-ede3-cbc']\nmodule.exports = DES\ninherits(DES, CipherBase)\nfunction DES (opts) {\n  CipherBase.call(this)\n  var modeName = opts.mode.toLowerCase()\n  var mode = modes[modeName]\n  var type\n  if (opts.decrypt) {\n    type = 'decrypt'\n  } else {\n    type = 'encrypt'\n  }\n  var key = opts.key\n  if (!Buffer.isBuffer(key)) {\n    key = Buffer.from(key)\n  }\n  if (modeName === 'des-ede' || modeName === 'des-ede-cbc') {\n    key = Buffer.concat([key, key.slice(0, 8)])\n  }\n  var iv = opts.iv\n  if (!Buffer.isBuffer(iv)) {\n    iv = Buffer.from(iv)\n  }\n  this._des = mode.create({\n    key: key,\n    iv: iv,\n    type: type\n  })\n}\nDES.prototype._update = function (data) {\n  return Buffer.from(this._des.update(data))\n}\nDES.prototype._final = function () {\n  return Buffer.from(this._des.final())\n}\n","var DES = require('browserify-des')\nvar aes = require('browserify-aes/browser')\nvar aesModes = require('browserify-aes/modes')\nvar desModes = require('browserify-des/modes')\nvar ebtk = require('evp_bytestokey')\n\nfunction createCipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createDecipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createCipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createCipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction createDecipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createDecipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite, decrypt: true })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction getCiphers () {\n  return Object.keys(desModes).concat(aes.getCiphers())\n}\n\nexports.createCipher = exports.Cipher = createCipher\nexports.createCipheriv = exports.Cipheriv = createCipheriv\nexports.createDecipher = exports.Decipher = createDecipher\nexports.createDecipheriv = exports.Decipheriv = createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","var checkParameters = require('./precondition')\nvar defaultEncoding = require('./default-encoding')\nvar sync = require('./sync')\nvar Buffer = require('safe-buffer').Buffer\n\nvar ZERO_BUF\nvar subtle = global.crypto && global.crypto.subtle\nvar toBrowser = {\n  'sha': 'SHA-1',\n  'sha-1': 'SHA-1',\n  'sha1': 'SHA-1',\n  'sha256': 'SHA-256',\n  'sha-256': 'SHA-256',\n  'sha384': 'SHA-384',\n  'sha-384': 'SHA-384',\n  'sha-512': 'SHA-512',\n  'sha512': 'SHA-512'\n}\nvar checks = []\nfunction checkNative (algo) {\n  if (global.process && !global.process.browser) {\n    return Promise.resolve(false)\n  }\n  if (!subtle || !subtle.importKey || !subtle.deriveBits) {\n    return Promise.resolve(false)\n  }\n  if (checks[algo] !== undefined) {\n    return checks[algo]\n  }\n  ZERO_BUF = ZERO_BUF || Buffer.alloc(8)\n  var prom = browserPbkdf2(ZERO_BUF, ZERO_BUF, 10, 128, algo)\n    .then(function () {\n      return true\n    }).catch(function () {\n      return false\n    })\n  checks[algo] = prom\n  return prom\n}\n\nfunction browserPbkdf2 (password, salt, iterations, length, algo) {\n  return subtle.importKey(\n    'raw', password, {name: 'PBKDF2'}, false, ['deriveBits']\n  ).then(function (key) {\n    return subtle.deriveBits({\n      name: 'PBKDF2',\n      salt: salt,\n      iterations: iterations,\n      hash: {\n        name: algo\n      }\n    }, key, length << 3)\n  }).then(function (res) {\n    return Buffer.from(res)\n  })\n}\n\nfunction resolvePromise (promise, callback) {\n  promise.then(function (out) {\n    process.nextTick(function () {\n      callback(null, out)\n    })\n  }, function (e) {\n    process.nextTick(function () {\n      callback(e)\n    })\n  })\n}\nmodule.exports = function (password, salt, iterations, keylen, digest, callback) {\n  if (typeof digest === 'function') {\n    callback = digest\n    digest = undefined\n  }\n\n  digest = digest || 'sha1'\n  var algo = toBrowser[digest.toLowerCase()]\n\n  if (!algo || typeof global.Promise !== 'function') {\n    return process.nextTick(function () {\n      var out\n      try {\n        out = sync(password, salt, iterations, keylen, digest)\n      } catch (e) {\n        return callback(e)\n      }\n      callback(null, out)\n    })\n  }\n\n  checkParameters(password, salt, iterations, keylen)\n  if (typeof callback !== 'function') throw new Error('No callback provided to pbkdf2')\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding)\n  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding)\n\n  resolvePromise(checkNative(algo).then(function (resp) {\n    if (resp) return browserPbkdf2(password, salt, iterations, keylen, algo)\n\n    return sync(password, salt, iterations, keylen, digest)\n  }), callback)\n}\n","module.exports = require('./browser/algorithms.json')\n","'use strict'\nvar inherits = require('inherits')\nvar Buffer = require('safe-buffer').Buffer\n\nvar Base = require('cipher-base')\n\nvar ZEROS = Buffer.alloc(128)\nvar blocksize = 64\n\nfunction Hmac (alg, key) {\n  Base.call(this, 'digest')\n  if (typeof key === 'string') {\n    key = Buffer.from(key)\n  }\n\n  this._alg = alg\n  this._key = key\n\n  if (key.length > blocksize) {\n    key = alg(key)\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)\n  var opad = this._opad = Buffer.allocUnsafe(blocksize)\n\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n\n  this._hash = [ipad]\n}\n\ninherits(Hmac, Base)\n\nHmac.prototype._update = function (data) {\n  this._hash.push(data)\n}\n\nHmac.prototype._final = function () {\n  var h = this._alg(Buffer.concat(this._hash))\n  return this._alg(Buffer.concat([this._opad, h]))\n}\nmodule.exports = Hmac\n","var inherits = require('inherits')\nvar SHA512 = require('./sha512')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar W = new Array(160)\n\nfunction Sha384 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha384, SHA512)\n\nSha384.prototype.init = function () {\n  this._ah = 0xcbbb9d5d\n  this._bh = 0x629a292a\n  this._ch = 0x9159015a\n  this._dh = 0x152fecd8\n  this._eh = 0x67332667\n  this._fh = 0x8eb44a87\n  this._gh = 0xdb0c2e0d\n  this._hh = 0x47b5481d\n\n  this._al = 0xc1059ed8\n  this._bl = 0x367cd507\n  this._cl = 0x3070dd17\n  this._dl = 0xf70e5939\n  this._el = 0xffc00b31\n  this._fl = 0x68581511\n  this._gl = 0x64f98fa7\n  this._hl = 0xbefa4fa4\n\n  return this\n}\n\nSha384.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(48)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n\n  return H\n}\n\nmodule.exports = Sha384\n","/**\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined\n * in FIPS 180-2\n * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n *\n */\n\nvar inherits = require('inherits')\nvar Sha256 = require('./sha256')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar W = new Array(64)\n\nfunction Sha224 () {\n  this.init()\n\n  this._w = W // new Array(64)\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha224, Sha256)\n\nSha224.prototype.init = function () {\n  this._a = 0xc1059ed8\n  this._b = 0x367cd507\n  this._c = 0x3070dd17\n  this._d = 0xf70e5939\n  this._e = 0xffc00b31\n  this._f = 0x68581511\n  this._g = 0x64f98fa7\n  this._h = 0xbefa4fa4\n\n  return this\n}\n\nSha224.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(28)\n\n  H.writeInt32BE(this._a, 0)\n  H.writeInt32BE(this._b, 4)\n  H.writeInt32BE(this._c, 8)\n  H.writeInt32BE(this._d, 12)\n  H.writeInt32BE(this._e, 16)\n  H.writeInt32BE(this._f, 20)\n  H.writeInt32BE(this._g, 24)\n\n  return H\n}\n\nmodule.exports = Sha224\n","/*\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-1, as defined\n * in FIPS PUB 180-1\n * Version 2.1a Copyright Paul Johnston 2000 - 2002.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n * Distributed under the BSD License\n * See http://pajhome.org.uk/crypt/md5 for details.\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0\n]\n\nvar W = new Array(80)\n\nfunction Sha1 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha1, Hash)\n\nSha1.prototype.init = function () {\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n\n  return this\n}\n\nfunction rotl1 (num) {\n  return (num << 1) | (num >>> 31)\n}\n\nfunction rotl5 (num) {\n  return (num << 5) | (num >>> 27)\n}\n\nfunction rotl30 (num) {\n  return (num << 30) | (num >>> 2)\n}\n\nfunction ft (s, b, c, d) {\n  if (s === 0) return (b & c) | ((~b) & d)\n  if (s === 2) return (b & c) | (b & d) | (c & d)\n  return b ^ c ^ d\n}\n\nSha1.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 80; ++i) W[i] = rotl1(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16])\n\n  for (var j = 0; j < 80; ++j) {\n    var s = ~~(j / 20)\n    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0\n\n    e = d\n    d = c\n    c = rotl30(b)\n    b = a\n    a = t\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n}\n\nSha1.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(20)\n\n  H.writeInt32BE(this._a | 0, 0)\n  H.writeInt32BE(this._b | 0, 4)\n  H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = Sha1\n","/*\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-0, as defined\n * in FIPS PUB 180-1\n * This source code is derived from sha1.js of the same repository.\n * The difference between SHA-0 and SHA-1 is just a bitwise rotate left\n * operation was added.\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0\n]\n\nvar W = new Array(80)\n\nfunction Sha () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha, Hash)\n\nSha.prototype.init = function () {\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n\n  return this\n}\n\nfunction rotl5 (num) {\n  return (num << 5) | (num >>> 27)\n}\n\nfunction rotl30 (num) {\n  return (num << 30) | (num >>> 2)\n}\n\nfunction ft (s, b, c, d) {\n  if (s === 0) return (b & c) | ((~b) & d)\n  if (s === 2) return (b & c) | (b & d) | (c & d)\n  return b ^ c ^ d\n}\n\nSha.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 80; ++i) W[i] = W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16]\n\n  for (var j = 0; j < 80; ++j) {\n    var s = ~~(j / 20)\n    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0\n\n    e = d\n    d = c\n    c = rotl30(b)\n    b = a\n    a = t\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n}\n\nSha.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(20)\n\n  H.writeInt32BE(this._a | 0, 0)\n  H.writeInt32BE(this._b | 0, 4)\n  H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = Sha\n","module.exports = require('./readable').PassThrough\n","module.exports = require('./readable').Transform\n","module.exports = require('./lib/_stream_duplex.js');\n","module.exports = require('./lib/_stream_writable.js');\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a passthrough stream.\n// basically just the most minimal sort of Transform stream.\n// Every written chunk gets output as-is.\n\n'use strict';\n\nmodule.exports = PassThrough;\n\nvar Transform = require('./_stream_transform');\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nutil.inherits(PassThrough, Transform);\n\nfunction PassThrough(options) {\n  if (!(this instanceof PassThrough)) return new PassThrough(options);\n\n  Transform.call(this, options);\n}\n\nPassThrough.prototype._transform = function (chunk, encoding, cb) {\n  cb(null, chunk);\n};","\n/**\n * Module exports.\n */\n\nmodule.exports = deprecate;\n\n/**\n * Mark that a method should not be used.\n * Returns a modified function which warns once by default.\n *\n * If `localStorage.noDeprecation = true` is set, then it is a no-op.\n *\n * If `localStorage.throwDeprecation = true` is set, then deprecated functions\n * will throw an Error when invoked.\n *\n * If `localStorage.traceDeprecation = true` is set, then deprecated functions\n * will invoke `console.trace()` instead of `console.error()`.\n *\n * @param {Function} fn - the function to deprecate\n * @param {String} msg - the string to print to the console when `fn` is invoked\n * @returns {Function} a new \"deprecated\" version of `fn`\n * @api public\n */\n\nfunction deprecate (fn, msg) {\n  if (config('noDeprecation')) {\n    return fn;\n  }\n\n  var warned = false;\n  function deprecated() {\n    if (!warned) {\n      if (config('throwDeprecation')) {\n        throw new Error(msg);\n      } else if (config('traceDeprecation')) {\n        console.trace(msg);\n      } else {\n        console.warn(msg);\n      }\n      warned = true;\n    }\n    return fn.apply(this, arguments);\n  }\n\n  return deprecated;\n}\n\n/**\n * Checks `localStorage` for boolean values for the given `name`.\n *\n * @param {String} name\n * @returns {Boolean}\n * @api private\n */\n\nfunction config (name) {\n  // accessing global.localStorage can trigger a DOMException in sandboxed iframes\n  try {\n    if (!global.localStorage) return false;\n  } catch (_) {\n    return false;\n  }\n  var val = global.localStorage[name];\n  if (null == val) return false;\n  return String(val).toLowerCase() === 'true';\n}\n","'use strict';\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nvar Buffer = require('safe-buffer').Buffer;\nvar util = require('util');\n\nfunction copyBuffer(src, target, offset) {\n  src.copy(target, offset);\n}\n\nmodule.exports = function () {\n  function BufferList() {\n    _classCallCheck(this, BufferList);\n\n    this.head = null;\n    this.tail = null;\n    this.length = 0;\n  }\n\n  BufferList.prototype.push = function push(v) {\n    var entry = { data: v, next: null };\n    if (this.length > 0) this.tail.next = entry;else this.head = entry;\n    this.tail = entry;\n    ++this.length;\n  };\n\n  BufferList.prototype.unshift = function unshift(v) {\n    var entry = { data: v, next: this.head };\n    if (this.length === 0) this.tail = entry;\n    this.head = entry;\n    ++this.length;\n  };\n\n  BufferList.prototype.shift = function shift() {\n    if (this.length === 0) return;\n    var ret = this.head.data;\n    if (this.length === 1) this.head = this.tail = null;else this.head = this.head.next;\n    --this.length;\n    return ret;\n  };\n\n  BufferList.prototype.clear = function clear() {\n    this.head = this.tail = null;\n    this.length = 0;\n  };\n\n  BufferList.prototype.join = function join(s) {\n    if (this.length === 0) return '';\n    var p = this.head;\n    var ret = '' + p.data;\n    while (p = p.next) {\n      ret += s + p.data;\n    }return ret;\n  };\n\n  BufferList.prototype.concat = function concat(n) {\n    if (this.length === 0) return Buffer.alloc(0);\n    if (this.length === 1) return this.head.data;\n    var ret = Buffer.allocUnsafe(n >>> 0);\n    var p = this.head;\n    var i = 0;\n    while (p) {\n      copyBuffer(p.data, ret, i);\n      i += p.data.length;\n      p = p.next;\n    }\n    return ret;\n  };\n\n  return BufferList;\n}();\n\nif (util && util.inspect && util.inspect.custom) {\n  module.exports.prototype[util.inspect.custom] = function () {\n    var obj = util.inspect({ length: this.length });\n    return this.constructor.name + ' ' + obj;\n  };\n}","exports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var nBits = -7\n  var i = isLE ? (nBytes - 1) : 0\n  var d = isLE ? -1 : 1\n  var s = buffer[offset + i]\n\n  i += d\n\n  e = s & ((1 << (-nBits)) - 1)\n  s >>= (-nBits)\n  nBits += eLen\n  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  m = e & ((1 << (-nBits)) - 1)\n  e >>= (-nBits)\n  nBits += mLen\n  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  if (e === 0) {\n    e = 1 - eBias\n  } else if (e === eMax) {\n    return m ? NaN : ((s ? -1 : 1) * Infinity)\n  } else {\n    m = m + Math.pow(2, mLen)\n    e = e - eBias\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n  var i = isLE ? 0 : (nBytes - 1)\n  var d = isLE ? 1 : -1\n  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n  value = Math.abs(value)\n\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0\n    e = eMax\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2)\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--\n      c *= 2\n    }\n    if (e + eBias >= 1) {\n      value += rt / c\n    } else {\n      value += rt * Math.pow(2, 1 - eBias)\n    }\n    if (value * c >= 2) {\n      e++\n      c /= 2\n    }\n\n    if (e + eBias >= eMax) {\n      m = 0\n      e = eMax\n    } else if (e + eBias >= 1) {\n      m = ((value * c) - 1) * Math.pow(2, mLen)\n      e = e + eBias\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n      e = 0\n    }\n  }\n\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n  e = (e << mLen) | m\n  eLen += mLen\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n  buffer[offset + i - d] |= s * 128\n}\n","'use strict'\n\nexports.byteLength = byteLength\nexports.toByteArray = toByteArray\nexports.fromByteArray = fromByteArray\n\nvar lookup = []\nvar revLookup = []\nvar Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array\n\nvar code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'\nfor (var i = 0, len = code.length; i < len; ++i) {\n  lookup[i] = code[i]\n  revLookup[code.charCodeAt(i)] = i\n}\n\n// Support decoding URL-safe base64 strings, as Node.js does.\n// See: https://en.wikipedia.org/wiki/Base64#URL_applications\nrevLookup['-'.charCodeAt(0)] = 62\nrevLookup['_'.charCodeAt(0)] = 63\n\nfunction getLens (b64) {\n  var len = b64.length\n\n  if (len % 4 > 0) {\n    throw new Error('Invalid string. Length must be a multiple of 4')\n  }\n\n  // Trim off extra bytes after placeholder bytes are found\n  // See: https://github.com/beatgammit/base64-js/issues/42\n  var validLen = b64.indexOf('=')\n  if (validLen === -1) validLen = len\n\n  var placeHoldersLen = validLen === len\n    ? 0\n    : 4 - (validLen % 4)\n\n  return [validLen, placeHoldersLen]\n}\n\n// base64 is 4/3 + up to two characters of the original data\nfunction byteLength (b64) {\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction _byteLength (b64, validLen, placeHoldersLen) {\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction toByteArray (b64) {\n  var tmp\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n\n  var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))\n\n  var curByte = 0\n\n  // if there are placeholders, only get up to the last complete 4 chars\n  var len = placeHoldersLen > 0\n    ? validLen - 4\n    : validLen\n\n  for (var i = 0; i < len; i += 4) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 18) |\n      (revLookup[b64.charCodeAt(i + 1)] << 12) |\n      (revLookup[b64.charCodeAt(i + 2)] << 6) |\n      revLookup[b64.charCodeAt(i + 3)]\n    arr[curByte++] = (tmp >> 16) & 0xFF\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 2) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 2) |\n      (revLookup[b64.charCodeAt(i + 1)] >> 4)\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 1) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 10) |\n      (revLookup[b64.charCodeAt(i + 1)] << 4) |\n      (revLookup[b64.charCodeAt(i + 2)] >> 2)\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  return arr\n}\n\nfunction tripletToBase64 (num) {\n  return lookup[num >> 18 & 0x3F] +\n    lookup[num >> 12 & 0x3F] +\n    lookup[num >> 6 & 0x3F] +\n    lookup[num & 0x3F]\n}\n\nfunction encodeChunk (uint8, start, end) {\n  var tmp\n  var output = []\n  for (var i = start; i < end; i += 3) {\n    tmp =\n      ((uint8[i] << 16) & 0xFF0000) +\n      ((uint8[i + 1] << 8) & 0xFF00) +\n      (uint8[i + 2] & 0xFF)\n    output.push(tripletToBase64(tmp))\n  }\n  return output.join('')\n}\n\nfunction fromByteArray (uint8) {\n  var tmp\n  var len = uint8.length\n  var extraBytes = len % 3 // if we have 1 byte left, pad 2 bytes\n  var parts = []\n  var maxChunkLength = 16383 // must be multiple of 3\n\n  // go through the array every three bytes, we'll deal with trailing stuff later\n  for (var i = 0, len2 = len - extraBytes; i < len2; i += maxChunkLength) {\n    parts.push(encodeChunk(\n      uint8, i, (i + maxChunkLength) > len2 ? len2 : (i + maxChunkLength)\n    ))\n  }\n\n  // pad the end with zeros, but make sure to not forget the extra bytes\n  if (extraBytes === 1) {\n    tmp = uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 2] +\n      lookup[(tmp << 4) & 0x3F] +\n      '=='\n    )\n  } else if (extraBytes === 2) {\n    tmp = (uint8[len - 2] << 8) + uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 10] +\n      lookup[(tmp >> 4) & 0x3F] +\n      lookup[(tmp << 2) & 0x3F] +\n      '='\n    )\n  }\n\n  return parts.join('')\n}\n","(function (global, undefined) {\n    \"use strict\";\n\n    if (global.setImmediate) {\n        return;\n    }\n\n    var nextHandle = 1; // Spec says greater than zero\n    var tasksByHandle = {};\n    var currentlyRunningATask = false;\n    var doc = global.document;\n    var registerImmediate;\n\n    function setImmediate(callback) {\n      // Callback can either be a function or a string\n      if (typeof callback !== \"function\") {\n        callback = new Function(\"\" + callback);\n      }\n      // Copy function arguments\n      var args = new Array(arguments.length - 1);\n      for (var i = 0; i < args.length; i++) {\n          args[i] = arguments[i + 1];\n      }\n      // Store and register the task\n      var task = { callback: callback, args: args };\n      tasksByHandle[nextHandle] = task;\n      registerImmediate(nextHandle);\n      return nextHandle++;\n    }\n\n    function clearImmediate(handle) {\n        delete tasksByHandle[handle];\n    }\n\n    function run(task) {\n        var callback = task.callback;\n        var args = task.args;\n        switch (args.length) {\n        case 0:\n            callback();\n            break;\n        case 1:\n            callback(args[0]);\n            break;\n        case 2:\n            callback(args[0], args[1]);\n            break;\n        case 3:\n            callback(args[0], args[1], args[2]);\n            break;\n        default:\n            callback.apply(undefined, args);\n            break;\n        }\n    }\n\n    function runIfPresent(handle) {\n        // From the spec: \"Wait until any invocations of this algorithm started before this one have completed.\"\n        // So if we're currently running a task, we'll need to delay this invocation.\n        if (currentlyRunningATask) {\n            // Delay by doing a setTimeout. setImmediate was tried instead, but in Firefox 7 it generated a\n            // \"too much recursion\" error.\n            setTimeout(runIfPresent, 0, handle);\n        } else {\n            var task = tasksByHandle[handle];\n            if (task) {\n                currentlyRunningATask = true;\n                try {\n                    run(task);\n                } finally {\n                    clearImmediate(handle);\n                    currentlyRunningATask = false;\n                }\n            }\n        }\n    }\n\n    function installNextTickImplementation() {\n        registerImmediate = function(handle) {\n            process.nextTick(function () { runIfPresent(handle); });\n        };\n    }\n\n    function canUsePostMessage() {\n        // The test against `importScripts` prevents this implementation from being installed inside a web worker,\n        // where `global.postMessage` means something completely different and can't be used for this purpose.\n        if (global.postMessage && !global.importScripts) {\n            var postMessageIsAsynchronous = true;\n            var oldOnMessage = global.onmessage;\n            global.onmessage = function() {\n                postMessageIsAsynchronous = false;\n            };\n            global.postMessage(\"\", \"*\");\n            global.onmessage = oldOnMessage;\n            return postMessageIsAsynchronous;\n        }\n    }\n\n    function installPostMessageImplementation() {\n        // Installs an event handler on `global` for the `message` event: see\n        // * https://developer.mozilla.org/en/DOM/window.postMessage\n        // * http://www.whatwg.org/specs/web-apps/current-work/multipage/comms.html#crossDocumentMessages\n\n        var messagePrefix = \"setImmediate$\" + Math.random() + \"$\";\n        var onGlobalMessage = function(event) {\n            if (event.source === global &&\n                typeof event.data === \"string\" &&\n                event.data.indexOf(messagePrefix) === 0) {\n                runIfPresent(+event.data.slice(messagePrefix.length));\n            }\n        };\n\n        if (global.addEventListener) {\n            global.addEventListener(\"message\", onGlobalMessage, false);\n        } else {\n            global.attachEvent(\"onmessage\", onGlobalMessage);\n        }\n\n        registerImmediate = function(handle) {\n            global.postMessage(messagePrefix + handle, \"*\");\n        };\n    }\n\n    function installMessageChannelImplementation() {\n        var channel = new MessageChannel();\n        channel.port1.onmessage = function(event) {\n            var handle = event.data;\n            runIfPresent(handle);\n        };\n\n        registerImmediate = function(handle) {\n            channel.port2.postMessage(handle);\n        };\n    }\n\n    function installReadyStateChangeImplementation() {\n        var html = doc.documentElement;\n        registerImmediate = function(handle) {\n            // Create a <script> element; its readystatechange event will be fired asynchronously once it is inserted\n            // into the document. Do so, thus queuing up the task. Remember to clean up once it's been called.\n            var script = doc.createElement(\"script\");\n            script.onreadystatechange = function () {\n                runIfPresent(handle);\n                script.onreadystatechange = null;\n                html.removeChild(script);\n                script = null;\n            };\n            html.appendChild(script);\n        };\n    }\n\n    function installSetTimeoutImplementation() {\n        registerImmediate = function(handle) {\n            setTimeout(runIfPresent, 0, handle);\n        };\n    }\n\n    // If supported, we should attach to the prototype of global, since that is where setTimeout et al. live.\n    var attachTo = Object.getPrototypeOf && Object.getPrototypeOf(global);\n    attachTo = attachTo && attachTo.setTimeout ? attachTo : global;\n\n    // Don't get fooled by e.g. browserify environments.\n    if ({}.toString.call(global.process) === \"[object process]\") {\n        // For Node.js before 0.9\n        installNextTickImplementation();\n\n    } else if (canUsePostMessage()) {\n        // For non-IE10 modern browsers\n        installPostMessageImplementation();\n\n    } else if (global.MessageChannel) {\n        // For web workers, where supported\n        installMessageChannelImplementation();\n\n    } else if (doc && \"onreadystatechange\" in doc.createElement(\"script\")) {\n        // For IE 6–8\n        installReadyStateChangeImplementation();\n\n    } else {\n        // For older browsers\n        installSetTimeoutImplementation();\n    }\n\n    attachTo.setImmediate = setImmediate;\n    attachTo.clearImmediate = clearImmediate;\n}(typeof self === \"undefined\" ? typeof global === \"undefined\" ? this : global : self));\n","var toInteger = require('./_to-integer');\nvar max = Math.max;\nvar min = Math.min;\nmodule.exports = function (index, length) {\n  index = toInteger(index);\n  return index < 0 ? max(index + length, 0) : min(index, length);\n};\n","// false -> Array#indexOf\n// true  -> Array#includes\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nmodule.exports = function (IS_INCLUDES) {\n  return function ($this, el, fromIndex) {\n    var O = toIObject($this);\n    var length = toLength(O.length);\n    var index = toAbsoluteIndex(fromIndex, length);\n    var value;\n    // Array#includes uses SameValueZero equality algorithm\n    // eslint-disable-next-line no-self-compare\n    if (IS_INCLUDES && el != el) while (length > index) {\n      value = O[index++];\n      // eslint-disable-next-line no-self-compare\n      if (value != value) return true;\n    // Array#indexOf ignores holes, Array#includes - not\n    } else for (;length > index; index++) if (IS_INCLUDES || index in O) {\n      if (O[index] === el) return IS_INCLUDES || index || 0;\n    } return !IS_INCLUDES && -1;\n  };\n};\n","'use strict';\n// 19.1.2.1 Object.assign(target, source, ...)\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nvar toObject = require('./_to-object');\nvar IObject = require('./_iobject');\nvar $assign = Object.assign;\n\n// should work with symbols and should have deterministic property order (V8 bug)\nmodule.exports = !$assign || require('./_fails')(function () {\n  var A = {};\n  var B = {};\n  // eslint-disable-next-line no-undef\n  var S = Symbol();\n  var K = 'abcdefghijklmnopqrst';\n  A[S] = 7;\n  K.split('').forEach(function (k) { B[k] = k; });\n  return $assign({}, A)[S] != 7 || Object.keys($assign({}, B)).join('') != K;\n}) ? function assign(target, source) { // eslint-disable-line no-unused-vars\n  var T = toObject(target);\n  var aLen = arguments.length;\n  var index = 1;\n  var getSymbols = gOPS.f;\n  var isEnum = pIE.f;\n  while (aLen > index) {\n    var S = IObject(arguments[index++]);\n    var keys = getSymbols ? getKeys(S).concat(getSymbols(S)) : getKeys(S);\n    var length = keys.length;\n    var j = 0;\n    var key;\n    while (length > j) if (isEnum.call(S, key = keys[j++])) T[key] = S[key];\n  } return T;\n} : $assign;\n","// 19.1.3.1 Object.assign(target, source)\nvar $export = require('./_export');\n\n$export($export.S + $export.F, 'Object', { assign: require('./_object-assign') });\n","require('../../modules/es6.object.assign');\nmodule.exports = require('../../modules/_core').Object.assign;\n","// Copyright (c) 2018 ml5\n//\n// This software is released under the MIT License.\n// https://opensource.org/licenses/MIT\n\nimport * as tf from '@tensorflow/tfjs';\nimport pitchDetection from './PitchDetection/';\nimport imageClassifier from './ImageClassifier/';\nimport KNNClassifier from './KNNClassifier/';\nimport featureExtractor from './FeatureExtractor/';\nimport word2vec from './Word2vec/';\nimport YOLO from './YOLO';\nimport poseNet from './PoseNet';\nimport * as imageUtils from './utils/imageUtilities';\nimport styleTransfer from './StyleTransfer/';\nimport charRNN from './CharRNN/';\nimport pix2pix from './Pix2pix/';\nimport SketchRNN from './SketchRNN';\nimport preloadRegister from './utils/p5PreloadHelper';\nimport { version } from '../package.json';\n\nconst withPreload = {\n  charRNN,\n  featureExtractor,\n  imageClassifier,\n  pitchDetection,\n  pix2pix,\n  poseNet,\n  SketchRNN,\n  styleTransfer,\n  word2vec,\n  YOLO,\n};\n\nmodule.exports = Object.assign({}, preloadRegister(withPreload), {\n  KNNClassifier,\n  ...imageUtils,\n  tf,\n  version,\n});\n","module.exports = function (regExp, replace) {\n  var replacer = replace === Object(replace) ? function (part) {\n    return replace[part];\n  } : replace;\n  return function (it) {\n    return String(it).replace(regExp, replacer);\n  };\n};\n","// https://github.com/benjamingr/RexExp.escape\nvar $export = require('./_export');\nvar $re = require('./_replacer')(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\n$export($export.S, 'RegExp', { escape: function escape(it) { return $re(it); } });\n","require('../../modules/core.regexp.escape');\nmodule.exports = require('../../modules/_core').RegExp.escape;\n","/**\n * Copyright (c) 2014, Facebook, Inc.\n * All rights reserved.\n *\n * This source code is licensed under the BSD-style license found in the\n * https://raw.github.com/facebook/regenerator/master/LICENSE file. An\n * additional grant of patent rights can be found in the PATENTS file in\n * the same directory.\n */\n\n!(function(global) {\n  \"use strict\";\n\n  var Op = Object.prototype;\n  var hasOwn = Op.hasOwnProperty;\n  var undefined; // More compressible than void 0.\n  var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n  var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n  var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n  var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n  var inModule = typeof module === \"object\";\n  var runtime = global.regeneratorRuntime;\n  if (runtime) {\n    if (inModule) {\n      // If regeneratorRuntime is defined globally and we're in a module,\n      // make the exports object identical to regeneratorRuntime.\n      module.exports = runtime;\n    }\n    // Don't bother evaluating the rest of this file if the runtime was\n    // already defined globally.\n    return;\n  }\n\n  // Define the runtime globally (as expected by generated code) as either\n  // module.exports (if we're in a module) or a new, empty object.\n  runtime = global.regeneratorRuntime = inModule ? module.exports : {};\n\n  function wrap(innerFn, outerFn, self, tryLocsList) {\n    // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n    var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n    var generator = Object.create(protoGenerator.prototype);\n    var context = new Context(tryLocsList || []);\n\n    // The ._invoke method unifies the implementations of the .next,\n    // .throw, and .return methods.\n    generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n    return generator;\n  }\n  runtime.wrap = wrap;\n\n  // Try/catch helper to minimize deoptimizations. Returns a completion\n  // record like context.tryEntries[i].completion. This interface could\n  // have been (and was previously) designed to take a closure to be\n  // invoked without arguments, but in all the cases we care about we\n  // already have an existing method we want to call, so there's no need\n  // to create a new function object. We can even get away with assuming\n  // the method takes exactly one argument, since that happens to be true\n  // in every case, so we don't have to touch the arguments object. The\n  // only additional allocation required is the completion record, which\n  // has a stable shape and so hopefully should be cheap to allocate.\n  function tryCatch(fn, obj, arg) {\n    try {\n      return { type: \"normal\", arg: fn.call(obj, arg) };\n    } catch (err) {\n      return { type: \"throw\", arg: err };\n    }\n  }\n\n  var GenStateSuspendedStart = \"suspendedStart\";\n  var GenStateSuspendedYield = \"suspendedYield\";\n  var GenStateExecuting = \"executing\";\n  var GenStateCompleted = \"completed\";\n\n  // Returning this object from the innerFn has the same effect as\n  // breaking out of the dispatch switch statement.\n  var ContinueSentinel = {};\n\n  // Dummy constructor functions that we use as the .constructor and\n  // .constructor.prototype properties for functions that return Generator\n  // objects. For full spec compliance, you may wish to configure your\n  // minifier not to mangle the names of these two functions.\n  function Generator() {}\n  function GeneratorFunction() {}\n  function GeneratorFunctionPrototype() {}\n\n  // This is a polyfill for %IteratorPrototype% for environments that\n  // don't natively support it.\n  var IteratorPrototype = {};\n  IteratorPrototype[iteratorSymbol] = function () {\n    return this;\n  };\n\n  var getProto = Object.getPrototypeOf;\n  var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n  if (NativeIteratorPrototype &&\n      NativeIteratorPrototype !== Op &&\n      hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n    // This environment has a native %IteratorPrototype%; use it instead\n    // of the polyfill.\n    IteratorPrototype = NativeIteratorPrototype;\n  }\n\n  var Gp = GeneratorFunctionPrototype.prototype =\n    Generator.prototype = Object.create(IteratorPrototype);\n  GeneratorFunction.prototype = Gp.constructor = GeneratorFunctionPrototype;\n  GeneratorFunctionPrototype.constructor = GeneratorFunction;\n  GeneratorFunctionPrototype[toStringTagSymbol] =\n    GeneratorFunction.displayName = \"GeneratorFunction\";\n\n  // Helper for defining the .next, .throw, and .return methods of the\n  // Iterator interface in terms of a single ._invoke method.\n  function defineIteratorMethods(prototype) {\n    [\"next\", \"throw\", \"return\"].forEach(function(method) {\n      prototype[method] = function(arg) {\n        return this._invoke(method, arg);\n      };\n    });\n  }\n\n  runtime.isGeneratorFunction = function(genFun) {\n    var ctor = typeof genFun === \"function\" && genFun.constructor;\n    return ctor\n      ? ctor === GeneratorFunction ||\n        // For the native GeneratorFunction constructor, the best we can\n        // do is to check its .name property.\n        (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n      : false;\n  };\n\n  runtime.mark = function(genFun) {\n    if (Object.setPrototypeOf) {\n      Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n    } else {\n      genFun.__proto__ = GeneratorFunctionPrototype;\n      if (!(toStringTagSymbol in genFun)) {\n        genFun[toStringTagSymbol] = \"GeneratorFunction\";\n      }\n    }\n    genFun.prototype = Object.create(Gp);\n    return genFun;\n  };\n\n  // Within the body of any async function, `await x` is transformed to\n  // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n  // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n  // meant to be awaited.\n  runtime.awrap = function(arg) {\n    return { __await: arg };\n  };\n\n  function AsyncIterator(generator) {\n    function invoke(method, arg, resolve, reject) {\n      var record = tryCatch(generator[method], generator, arg);\n      if (record.type === \"throw\") {\n        reject(record.arg);\n      } else {\n        var result = record.arg;\n        var value = result.value;\n        if (value &&\n            typeof value === \"object\" &&\n            hasOwn.call(value, \"__await\")) {\n          return Promise.resolve(value.__await).then(function(value) {\n            invoke(\"next\", value, resolve, reject);\n          }, function(err) {\n            invoke(\"throw\", err, resolve, reject);\n          });\n        }\n\n        return Promise.resolve(value).then(function(unwrapped) {\n          // When a yielded Promise is resolved, its final value becomes\n          // the .value of the Promise<{value,done}> result for the\n          // current iteration. If the Promise is rejected, however, the\n          // result for this iteration will be rejected with the same\n          // reason. Note that rejections of yielded Promises are not\n          // thrown back into the generator function, as is the case\n          // when an awaited Promise is rejected. This difference in\n          // behavior between yield and await is important, because it\n          // allows the consumer to decide what to do with the yielded\n          // rejection (swallow it and continue, manually .throw it back\n          // into the generator, abandon iteration, whatever). With\n          // await, by contrast, there is no opportunity to examine the\n          // rejection reason outside the generator function, so the\n          // only option is to throw it from the await expression, and\n          // let the generator function handle the exception.\n          result.value = unwrapped;\n          resolve(result);\n        }, reject);\n      }\n    }\n\n    if (typeof global.process === \"object\" && global.process.domain) {\n      invoke = global.process.domain.bind(invoke);\n    }\n\n    var previousPromise;\n\n    function enqueue(method, arg) {\n      function callInvokeWithMethodAndArg() {\n        return new Promise(function(resolve, reject) {\n          invoke(method, arg, resolve, reject);\n        });\n      }\n\n      return previousPromise =\n        // If enqueue has been called before, then we want to wait until\n        // all previous Promises have been resolved before calling invoke,\n        // so that results are always delivered in the correct order. If\n        // enqueue has not been called before, then it is important to\n        // call invoke immediately, without waiting on a callback to fire,\n        // so that the async generator function has the opportunity to do\n        // any necessary setup in a predictable way. This predictability\n        // is why the Promise constructor synchronously invokes its\n        // executor callback, and why async functions synchronously\n        // execute code before the first await. Since we implement simple\n        // async functions in terms of async generators, it is especially\n        // important to get this right, even though it requires care.\n        previousPromise ? previousPromise.then(\n          callInvokeWithMethodAndArg,\n          // Avoid propagating failures to Promises returned by later\n          // invocations of the iterator.\n          callInvokeWithMethodAndArg\n        ) : callInvokeWithMethodAndArg();\n    }\n\n    // Define the unified helper method that is used to implement .next,\n    // .throw, and .return (see defineIteratorMethods).\n    this._invoke = enqueue;\n  }\n\n  defineIteratorMethods(AsyncIterator.prototype);\n  AsyncIterator.prototype[asyncIteratorSymbol] = function () {\n    return this;\n  };\n  runtime.AsyncIterator = AsyncIterator;\n\n  // Note that simple async functions are implemented on top of\n  // AsyncIterator objects; they just return a Promise for the value of\n  // the final result produced by the iterator.\n  runtime.async = function(innerFn, outerFn, self, tryLocsList) {\n    var iter = new AsyncIterator(\n      wrap(innerFn, outerFn, self, tryLocsList)\n    );\n\n    return runtime.isGeneratorFunction(outerFn)\n      ? iter // If outerFn is a generator, return the full iterator.\n      : iter.next().then(function(result) {\n          return result.done ? result.value : iter.next();\n        });\n  };\n\n  function makeInvokeMethod(innerFn, self, context) {\n    var state = GenStateSuspendedStart;\n\n    return function invoke(method, arg) {\n      if (state === GenStateExecuting) {\n        throw new Error(\"Generator is already running\");\n      }\n\n      if (state === GenStateCompleted) {\n        if (method === \"throw\") {\n          throw arg;\n        }\n\n        // Be forgiving, per 25.3.3.3.3 of the spec:\n        // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n        return doneResult();\n      }\n\n      context.method = method;\n      context.arg = arg;\n\n      while (true) {\n        var delegate = context.delegate;\n        if (delegate) {\n          var delegateResult = maybeInvokeDelegate(delegate, context);\n          if (delegateResult) {\n            if (delegateResult === ContinueSentinel) continue;\n            return delegateResult;\n          }\n        }\n\n        if (context.method === \"next\") {\n          // Setting context._sent for legacy support of Babel's\n          // function.sent implementation.\n          context.sent = context._sent = context.arg;\n\n        } else if (context.method === \"throw\") {\n          if (state === GenStateSuspendedStart) {\n            state = GenStateCompleted;\n            throw context.arg;\n          }\n\n          context.dispatchException(context.arg);\n\n        } else if (context.method === \"return\") {\n          context.abrupt(\"return\", context.arg);\n        }\n\n        state = GenStateExecuting;\n\n        var record = tryCatch(innerFn, self, context);\n        if (record.type === \"normal\") {\n          // If an exception is thrown from innerFn, we leave state ===\n          // GenStateExecuting and loop back for another invocation.\n          state = context.done\n            ? GenStateCompleted\n            : GenStateSuspendedYield;\n\n          if (record.arg === ContinueSentinel) {\n            continue;\n          }\n\n          return {\n            value: record.arg,\n            done: context.done\n          };\n\n        } else if (record.type === \"throw\") {\n          state = GenStateCompleted;\n          // Dispatch the exception by looping back around to the\n          // context.dispatchException(context.arg) call above.\n          context.method = \"throw\";\n          context.arg = record.arg;\n        }\n      }\n    };\n  }\n\n  // Call delegate.iterator[context.method](context.arg) and handle the\n  // result, either by returning a { value, done } result from the\n  // delegate iterator, or by modifying context.method and context.arg,\n  // setting context.delegate to null, and returning the ContinueSentinel.\n  function maybeInvokeDelegate(delegate, context) {\n    var method = delegate.iterator[context.method];\n    if (method === undefined) {\n      // A .throw or .return when the delegate iterator has no .throw\n      // method always terminates the yield* loop.\n      context.delegate = null;\n\n      if (context.method === \"throw\") {\n        if (delegate.iterator.return) {\n          // If the delegate iterator has a return method, give it a\n          // chance to clean up.\n          context.method = \"return\";\n          context.arg = undefined;\n          maybeInvokeDelegate(delegate, context);\n\n          if (context.method === \"throw\") {\n            // If maybeInvokeDelegate(context) changed context.method from\n            // \"return\" to \"throw\", let that override the TypeError below.\n            return ContinueSentinel;\n          }\n        }\n\n        context.method = \"throw\";\n        context.arg = new TypeError(\n          \"The iterator does not provide a 'throw' method\");\n      }\n\n      return ContinueSentinel;\n    }\n\n    var record = tryCatch(method, delegate.iterator, context.arg);\n\n    if (record.type === \"throw\") {\n      context.method = \"throw\";\n      context.arg = record.arg;\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    var info = record.arg;\n\n    if (! info) {\n      context.method = \"throw\";\n      context.arg = new TypeError(\"iterator result is not an object\");\n      context.delegate = null;\n      return ContinueSentinel;\n    }\n\n    if (info.done) {\n      // Assign the result of the finished delegate to the temporary\n      // variable specified by delegate.resultName (see delegateYield).\n      context[delegate.resultName] = info.value;\n\n      // Resume execution at the desired location (see delegateYield).\n      context.next = delegate.nextLoc;\n\n      // If context.method was \"throw\" but the delegate handled the\n      // exception, let the outer generator proceed normally. If\n      // context.method was \"next\", forget context.arg since it has been\n      // \"consumed\" by the delegate iterator. If context.method was\n      // \"return\", allow the original .return call to continue in the\n      // outer generator.\n      if (context.method !== \"return\") {\n        context.method = \"next\";\n        context.arg = undefined;\n      }\n\n    } else {\n      // Re-yield the result returned by the delegate method.\n      return info;\n    }\n\n    // The delegate iterator is finished, so forget it and continue with\n    // the outer generator.\n    context.delegate = null;\n    return ContinueSentinel;\n  }\n\n  // Define Generator.prototype.{next,throw,return} in terms of the\n  // unified ._invoke helper method.\n  defineIteratorMethods(Gp);\n\n  Gp[toStringTagSymbol] = \"Generator\";\n\n  // A Generator should always return itself as the iterator object when the\n  // @@iterator function is called on it. Some browsers' implementations of the\n  // iterator prototype chain incorrectly implement this, causing the Generator\n  // object to not be returned from this call. This ensures that doesn't happen.\n  // See https://github.com/facebook/regenerator/issues/274 for more details.\n  Gp[iteratorSymbol] = function() {\n    return this;\n  };\n\n  Gp.toString = function() {\n    return \"[object Generator]\";\n  };\n\n  function pushTryEntry(locs) {\n    var entry = { tryLoc: locs[0] };\n\n    if (1 in locs) {\n      entry.catchLoc = locs[1];\n    }\n\n    if (2 in locs) {\n      entry.finallyLoc = locs[2];\n      entry.afterLoc = locs[3];\n    }\n\n    this.tryEntries.push(entry);\n  }\n\n  function resetTryEntry(entry) {\n    var record = entry.completion || {};\n    record.type = \"normal\";\n    delete record.arg;\n    entry.completion = record;\n  }\n\n  function Context(tryLocsList) {\n    // The root entry object (effectively a try statement without a catch\n    // or a finally block) gives us a place to store values thrown from\n    // locations where there is no enclosing try statement.\n    this.tryEntries = [{ tryLoc: \"root\" }];\n    tryLocsList.forEach(pushTryEntry, this);\n    this.reset(true);\n  }\n\n  runtime.keys = function(object) {\n    var keys = [];\n    for (var key in object) {\n      keys.push(key);\n    }\n    keys.reverse();\n\n    // Rather than returning an object with a next method, we keep\n    // things simple and return the next function itself.\n    return function next() {\n      while (keys.length) {\n        var key = keys.pop();\n        if (key in object) {\n          next.value = key;\n          next.done = false;\n          return next;\n        }\n      }\n\n      // To avoid creating an additional object, we just hang the .value\n      // and .done properties off the next function object itself. This\n      // also ensures that the minifier will not anonymize the function.\n      next.done = true;\n      return next;\n    };\n  };\n\n  function values(iterable) {\n    if (iterable) {\n      var iteratorMethod = iterable[iteratorSymbol];\n      if (iteratorMethod) {\n        return iteratorMethod.call(iterable);\n      }\n\n      if (typeof iterable.next === \"function\") {\n        return iterable;\n      }\n\n      if (!isNaN(iterable.length)) {\n        var i = -1, next = function next() {\n          while (++i < iterable.length) {\n            if (hasOwn.call(iterable, i)) {\n              next.value = iterable[i];\n              next.done = false;\n              return next;\n            }\n          }\n\n          next.value = undefined;\n          next.done = true;\n\n          return next;\n        };\n\n        return next.next = next;\n      }\n    }\n\n    // Return an iterator with no values.\n    return { next: doneResult };\n  }\n  runtime.values = values;\n\n  function doneResult() {\n    return { value: undefined, done: true };\n  }\n\n  Context.prototype = {\n    constructor: Context,\n\n    reset: function(skipTempReset) {\n      this.prev = 0;\n      this.next = 0;\n      // Resetting context._sent for legacy support of Babel's\n      // function.sent implementation.\n      this.sent = this._sent = undefined;\n      this.done = false;\n      this.delegate = null;\n\n      this.method = \"next\";\n      this.arg = undefined;\n\n      this.tryEntries.forEach(resetTryEntry);\n\n      if (!skipTempReset) {\n        for (var name in this) {\n          // Not sure about the optimal order of these conditions:\n          if (name.charAt(0) === \"t\" &&\n              hasOwn.call(this, name) &&\n              !isNaN(+name.slice(1))) {\n            this[name] = undefined;\n          }\n        }\n      }\n    },\n\n    stop: function() {\n      this.done = true;\n\n      var rootEntry = this.tryEntries[0];\n      var rootRecord = rootEntry.completion;\n      if (rootRecord.type === \"throw\") {\n        throw rootRecord.arg;\n      }\n\n      return this.rval;\n    },\n\n    dispatchException: function(exception) {\n      if (this.done) {\n        throw exception;\n      }\n\n      var context = this;\n      function handle(loc, caught) {\n        record.type = \"throw\";\n        record.arg = exception;\n        context.next = loc;\n\n        if (caught) {\n          // If the dispatched exception was caught by a catch block,\n          // then let that catch block handle the exception normally.\n          context.method = \"next\";\n          context.arg = undefined;\n        }\n\n        return !! caught;\n      }\n\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        var record = entry.completion;\n\n        if (entry.tryLoc === \"root\") {\n          // Exception thrown outside of any try block that could handle\n          // it, so set the completion value of the entire function to\n          // throw the exception.\n          return handle(\"end\");\n        }\n\n        if (entry.tryLoc <= this.prev) {\n          var hasCatch = hasOwn.call(entry, \"catchLoc\");\n          var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n          if (hasCatch && hasFinally) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            } else if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else if (hasCatch) {\n            if (this.prev < entry.catchLoc) {\n              return handle(entry.catchLoc, true);\n            }\n\n          } else if (hasFinally) {\n            if (this.prev < entry.finallyLoc) {\n              return handle(entry.finallyLoc);\n            }\n\n          } else {\n            throw new Error(\"try statement without catch or finally\");\n          }\n        }\n      }\n    },\n\n    abrupt: function(type, arg) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc <= this.prev &&\n            hasOwn.call(entry, \"finallyLoc\") &&\n            this.prev < entry.finallyLoc) {\n          var finallyEntry = entry;\n          break;\n        }\n      }\n\n      if (finallyEntry &&\n          (type === \"break\" ||\n           type === \"continue\") &&\n          finallyEntry.tryLoc <= arg &&\n          arg <= finallyEntry.finallyLoc) {\n        // Ignore the finally entry if control is not jumping to a\n        // location outside the try/catch block.\n        finallyEntry = null;\n      }\n\n      var record = finallyEntry ? finallyEntry.completion : {};\n      record.type = type;\n      record.arg = arg;\n\n      if (finallyEntry) {\n        this.method = \"next\";\n        this.next = finallyEntry.finallyLoc;\n        return ContinueSentinel;\n      }\n\n      return this.complete(record);\n    },\n\n    complete: function(record, afterLoc) {\n      if (record.type === \"throw\") {\n        throw record.arg;\n      }\n\n      if (record.type === \"break\" ||\n          record.type === \"continue\") {\n        this.next = record.arg;\n      } else if (record.type === \"return\") {\n        this.rval = this.arg = record.arg;\n        this.method = \"return\";\n        this.next = \"end\";\n      } else if (record.type === \"normal\" && afterLoc) {\n        this.next = afterLoc;\n      }\n\n      return ContinueSentinel;\n    },\n\n    finish: function(finallyLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.finallyLoc === finallyLoc) {\n          this.complete(entry.completion, entry.afterLoc);\n          resetTryEntry(entry);\n          return ContinueSentinel;\n        }\n      }\n    },\n\n    \"catch\": function(tryLoc) {\n      for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n        var entry = this.tryEntries[i];\n        if (entry.tryLoc === tryLoc) {\n          var record = entry.completion;\n          if (record.type === \"throw\") {\n            var thrown = record.arg;\n            resetTryEntry(entry);\n          }\n          return thrown;\n        }\n      }\n\n      // The context.catch method must only be called with a location\n      // argument that corresponds to a known catch block.\n      throw new Error(\"illegal catch attempt\");\n    },\n\n    delegateYield: function(iterable, resultName, nextLoc) {\n      this.delegate = {\n        iterator: values(iterable),\n        resultName: resultName,\n        nextLoc: nextLoc\n      };\n\n      if (this.method === \"next\") {\n        // Deliberately forget the last sent value so that we don't\n        // accidentally pass it on to the delegate.\n        this.arg = undefined;\n      }\n\n      return ContinueSentinel;\n    }\n  };\n})(\n  // Among the various tricks for obtaining a reference to the global\n  // object, this seems to be the most reliable technique that does not\n  // use indirect eval (which violates Content Security Policy).\n  typeof global === \"object\" ? global :\n  typeof window === \"object\" ? window :\n  typeof self === \"object\" ? self : this\n);\n","var $iterators = require('./es6.array.iterator');\nvar getKeys = require('./_object-keys');\nvar redefine = require('./_redefine');\nvar global = require('./_global');\nvar hide = require('./_hide');\nvar Iterators = require('./_iterators');\nvar wks = require('./_wks');\nvar ITERATOR = wks('iterator');\nvar TO_STRING_TAG = wks('toStringTag');\nvar ArrayValues = Iterators.Array;\n\nvar DOMIterables = {\n  CSSRuleList: true, // TODO: Not spec compliant, should be false.\n  CSSStyleDeclaration: false,\n  CSSValueList: false,\n  ClientRectList: false,\n  DOMRectList: false,\n  DOMStringList: false,\n  DOMTokenList: true,\n  DataTransferItemList: false,\n  FileList: false,\n  HTMLAllCollection: false,\n  HTMLCollection: false,\n  HTMLFormElement: false,\n  HTMLSelectElement: false,\n  MediaList: true, // TODO: Not spec compliant, should be false.\n  MimeTypeArray: false,\n  NamedNodeMap: false,\n  NodeList: true,\n  PaintRequestList: false,\n  Plugin: false,\n  PluginArray: false,\n  SVGLengthList: false,\n  SVGNumberList: false,\n  SVGPathSegList: false,\n  SVGPointList: false,\n  SVGStringList: false,\n  SVGTransformList: false,\n  SourceBufferList: false,\n  StyleSheetList: true, // TODO: Not spec compliant, should be false.\n  TextTrackCueList: false,\n  TextTrackList: false,\n  TouchList: false\n};\n\nfor (var collections = getKeys(DOMIterables), i = 0; i < collections.length; i++) {\n  var NAME = collections[i];\n  var explicit = DOMIterables[NAME];\n  var Collection = global[NAME];\n  var proto = Collection && Collection.prototype;\n  var key;\n  if (proto) {\n    if (!proto[ITERATOR]) hide(proto, ITERATOR, ArrayValues);\n    if (!proto[TO_STRING_TAG]) hide(proto, TO_STRING_TAG, NAME);\n    Iterators[NAME] = ArrayValues;\n    if (explicit) for (key in $iterators) if (!proto[key]) redefine(proto, key, $iterators[key], true);\n  }\n}\n","var $export = require('./_export');\nvar $task = require('./_task');\n$export($export.G + $export.B, {\n  setImmediate: $task.set,\n  clearImmediate: $task.clear\n});\n","// ie9- setTimeout & setInterval additional parameters fix\nvar global = require('./_global');\nvar $export = require('./_export');\nvar userAgent = require('./_user-agent');\nvar slice = [].slice;\nvar MSIE = /MSIE .\\./.test(userAgent); // <- dirty ie9- check\nvar wrap = function (set) {\n  return function (fn, time /* , ...args */) {\n    var boundArgs = arguments.length > 2;\n    var args = boundArgs ? slice.call(arguments, 2) : false;\n    return set(boundArgs ? function () {\n      // eslint-disable-next-line no-new-func\n      (typeof fn == 'function' ? fn : Function(fn)).apply(this, args);\n    } : fn, time);\n  };\n};\n$export($export.G + $export.B + $export.F * MSIE, {\n  setTimeout: wrap(global.setTimeout),\n  setInterval: wrap(global.setInterval)\n});\n","'use strict';\n// https://github.com/zenparsing/es-observable\nvar $export = require('./_export');\nvar global = require('./_global');\nvar core = require('./_core');\nvar microtask = require('./_microtask')();\nvar OBSERVABLE = require('./_wks')('observable');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar anInstance = require('./_an-instance');\nvar redefineAll = require('./_redefine-all');\nvar hide = require('./_hide');\nvar forOf = require('./_for-of');\nvar RETURN = forOf.RETURN;\n\nvar getMethod = function (fn) {\n  return fn == null ? undefined : aFunction(fn);\n};\n\nvar cleanupSubscription = function (subscription) {\n  var cleanup = subscription._c;\n  if (cleanup) {\n    subscription._c = undefined;\n    cleanup();\n  }\n};\n\nvar subscriptionClosed = function (subscription) {\n  return subscription._o === undefined;\n};\n\nvar closeSubscription = function (subscription) {\n  if (!subscriptionClosed(subscription)) {\n    subscription._o = undefined;\n    cleanupSubscription(subscription);\n  }\n};\n\nvar Subscription = function (observer, subscriber) {\n  anObject(observer);\n  this._c = undefined;\n  this._o = observer;\n  observer = new SubscriptionObserver(this);\n  try {\n    var cleanup = subscriber(observer);\n    var subscription = cleanup;\n    if (cleanup != null) {\n      if (typeof cleanup.unsubscribe === 'function') cleanup = function () { subscription.unsubscribe(); };\n      else aFunction(cleanup);\n      this._c = cleanup;\n    }\n  } catch (e) {\n    observer.error(e);\n    return;\n  } if (subscriptionClosed(this)) cleanupSubscription(this);\n};\n\nSubscription.prototype = redefineAll({}, {\n  unsubscribe: function unsubscribe() { closeSubscription(this); }\n});\n\nvar SubscriptionObserver = function (subscription) {\n  this._s = subscription;\n};\n\nSubscriptionObserver.prototype = redefineAll({}, {\n  next: function next(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      try {\n        var m = getMethod(observer.next);\n        if (m) return m.call(observer, value);\n      } catch (e) {\n        try {\n          closeSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      }\n    }\n  },\n  error: function error(value) {\n    var subscription = this._s;\n    if (subscriptionClosed(subscription)) throw value;\n    var observer = subscription._o;\n    subscription._o = undefined;\n    try {\n      var m = getMethod(observer.error);\n      if (!m) throw value;\n      value = m.call(observer, value);\n    } catch (e) {\n      try {\n        cleanupSubscription(subscription);\n      } finally {\n        throw e;\n      }\n    } cleanupSubscription(subscription);\n    return value;\n  },\n  complete: function complete(value) {\n    var subscription = this._s;\n    if (!subscriptionClosed(subscription)) {\n      var observer = subscription._o;\n      subscription._o = undefined;\n      try {\n        var m = getMethod(observer.complete);\n        value = m ? m.call(observer, value) : undefined;\n      } catch (e) {\n        try {\n          cleanupSubscription(subscription);\n        } finally {\n          throw e;\n        }\n      } cleanupSubscription(subscription);\n      return value;\n    }\n  }\n});\n\nvar $Observable = function Observable(subscriber) {\n  anInstance(this, $Observable, 'Observable', '_f')._f = aFunction(subscriber);\n};\n\nredefineAll($Observable.prototype, {\n  subscribe: function subscribe(observer) {\n    return new Subscription(observer, this._f);\n  },\n  forEach: function forEach(fn) {\n    var that = this;\n    return new (core.Promise || global.Promise)(function (resolve, reject) {\n      aFunction(fn);\n      var subscription = that.subscribe({\n        next: function (value) {\n          try {\n            return fn(value);\n          } catch (e) {\n            reject(e);\n            subscription.unsubscribe();\n          }\n        },\n        error: reject,\n        complete: resolve\n      });\n    });\n  }\n});\n\nredefineAll($Observable, {\n  from: function from(x) {\n    var C = typeof this === 'function' ? this : $Observable;\n    var method = getMethod(anObject(x)[OBSERVABLE]);\n    if (method) {\n      var observable = anObject(method.call(x));\n      return observable.constructor === C ? observable : new C(function (observer) {\n        return observable.subscribe(observer);\n      });\n    }\n    return new C(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          try {\n            if (forOf(x, false, function (it) {\n              observer.next(it);\n              if (done) return RETURN;\n            }) === RETURN) return;\n          } catch (e) {\n            if (done) throw e;\n            observer.error(e);\n            return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  },\n  of: function of() {\n    for (var i = 0, l = arguments.length, items = new Array(l); i < l;) items[i] = arguments[i++];\n    return new (typeof this === 'function' ? this : $Observable)(function (observer) {\n      var done = false;\n      microtask(function () {\n        if (!done) {\n          for (var j = 0; j < items.length; ++j) {\n            observer.next(items[j]);\n            if (done) return;\n          } observer.complete();\n        }\n      });\n      return function () { done = true; };\n    });\n  }\n});\n\nhide($Observable.prototype, OBSERVABLE, function () { return this; });\n\n$export($export.G, { Observable: $Observable });\n\nrequire('./_set-species')('Observable');\n","// https://github.com/rwaldron/tc39-notes/blob/master/es6/2014-09/sept-25.md#510-globalasap-for-enqueuing-a-microtask\nvar $export = require('./_export');\nvar microtask = require('./_microtask')();\nvar process = require('./_global').process;\nvar isNode = require('./_cof')(process) == 'process';\n\n$export($export.G, {\n  asap: function asap(fn) {\n    var domain = isNode && process.domain;\n    microtask(domain ? domain.bind(fn) : fn);\n  }\n});\n","var $metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar aFunction = require('./_a-function');\nvar toMetaKey = $metadata.key;\nvar ordinaryDefineOwnMetadata = $metadata.set;\n\n$metadata.exp({ metadata: function metadata(metadataKey, metadataValue) {\n  return function decorator(target, targetKey) {\n    ordinaryDefineOwnMetadata(\n      metadataKey, metadataValue,\n      (targetKey !== undefined ? anObject : aFunction)(target),\n      toMetaKey(targetKey)\n    );\n  };\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ hasOwnMetadata: function hasOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar toMetaKey = metadata.key;\n\nvar ordinaryHasMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return true;\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryHasMetadata(MetadataKey, parent, P) : false;\n};\n\nmetadata.exp({ hasMetadata: function hasMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryHasMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadataKeys: function getOwnMetadataKeys(target /* , targetKey */) {\n  return ordinaryOwnMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nmetadata.exp({ getOwnMetadata: function getOwnMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetOwnMetadata(metadataKey, anObject(target)\n    , arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var Set = require('./es6.set');\nvar from = require('./_array-from-iterable');\nvar metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryOwnMetadataKeys = metadata.keys;\nvar toMetaKey = metadata.key;\n\nvar ordinaryMetadataKeys = function (O, P) {\n  var oKeys = ordinaryOwnMetadataKeys(O, P);\n  var parent = getPrototypeOf(O);\n  if (parent === null) return oKeys;\n  var pKeys = ordinaryMetadataKeys(parent, P);\n  return pKeys.length ? oKeys.length ? from(new Set(oKeys.concat(pKeys))) : pKeys : oKeys;\n};\n\nmetadata.exp({ getMetadataKeys: function getMetadataKeys(target /* , targetKey */) {\n  return ordinaryMetadataKeys(anObject(target), arguments.length < 2 ? undefined : toMetaKey(arguments[1]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar ordinaryHasOwnMetadata = metadata.has;\nvar ordinaryGetOwnMetadata = metadata.get;\nvar toMetaKey = metadata.key;\n\nvar ordinaryGetMetadata = function (MetadataKey, O, P) {\n  var hasOwn = ordinaryHasOwnMetadata(MetadataKey, O, P);\n  if (hasOwn) return ordinaryGetOwnMetadata(MetadataKey, O, P);\n  var parent = getPrototypeOf(O);\n  return parent !== null ? ordinaryGetMetadata(MetadataKey, parent, P) : undefined;\n};\n\nmetadata.exp({ getMetadata: function getMetadata(metadataKey, target /* , targetKey */) {\n  return ordinaryGetMetadata(metadataKey, anObject(target), arguments.length < 3 ? undefined : toMetaKey(arguments[2]));\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar getOrCreateMetadataMap = metadata.map;\nvar store = metadata.store;\n\nmetadata.exp({ deleteMetadata: function deleteMetadata(metadataKey, target /* , targetKey */) {\n  var targetKey = arguments.length < 3 ? undefined : toMetaKey(arguments[2]);\n  var metadataMap = getOrCreateMetadataMap(anObject(target), targetKey, false);\n  if (metadataMap === undefined || !metadataMap['delete'](metadataKey)) return false;\n  if (metadataMap.size) return true;\n  var targetMetadata = store.get(target);\n  targetMetadata['delete'](targetKey);\n  return !!targetMetadata.size || store['delete'](target);\n} });\n","var metadata = require('./_metadata');\nvar anObject = require('./_an-object');\nvar toMetaKey = metadata.key;\nvar ordinaryDefineOwnMetadata = metadata.set;\n\nmetadata.exp({ defineMetadata: function defineMetadata(metadataKey, metadataValue, target, targetKey) {\n  ordinaryDefineOwnMetadata(metadataKey, metadataValue, anObject(target), toMetaKey(targetKey));\n} });\n","'use strict';\n// https://github.com/tc39/proposal-promise-try\nvar $export = require('./_export');\nvar newPromiseCapability = require('./_new-promise-capability');\nvar perform = require('./_perform');\n\n$export($export.S, 'Promise', { 'try': function (callbackfn) {\n  var promiseCapability = newPromiseCapability.f(this);\n  var result = perform(callbackfn);\n  (result.e ? promiseCapability.reject : promiseCapability.resolve)(result.v);\n  return promiseCapability.promise;\n} });\n","// https://github.com/tc39/proposal-promise-finally\n'use strict';\nvar $export = require('./_export');\nvar core = require('./_core');\nvar global = require('./_global');\nvar speciesConstructor = require('./_species-constructor');\nvar promiseResolve = require('./_promise-resolve');\n\n$export($export.P + $export.R, 'Promise', { 'finally': function (onFinally) {\n  var C = speciesConstructor(this, core.Promise || global.Promise);\n  var isFunction = typeof onFinally == 'function';\n  return this.then(\n    isFunction ? function (x) {\n      return promiseResolve(C, onFinally()).then(function () { return x; });\n    } : onFinally,\n    isFunction ? function (e) {\n      return promiseResolve(C, onFinally()).then(function () { throw e; });\n    } : onFinally\n  );\n} });\n","// http://jfbastien.github.io/papers/Math.signbit.html\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { signbit: function signbit(x) {\n  // eslint-disable-next-line no-self-compare\n  return (x = +x) != x ? x : x == 0 ? 1 / x == Infinity : x > 0;\n} });\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  umulh: function umulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >>> 16;\n    var v1 = $v >>> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >>> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >>> 16);\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { scale: require('./_math-scale') });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar DEG_PER_RAD = Math.PI / 180;\n\n$export($export.S, 'Math', {\n  radians: function radians(degrees) {\n    return degrees * DEG_PER_RAD;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { RAD_PER_DEG: 180 / Math.PI });\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  imulh: function imulh(u, v) {\n    var UINT16 = 0xffff;\n    var $u = +u;\n    var $v = +v;\n    var u0 = $u & UINT16;\n    var v0 = $v & UINT16;\n    var u1 = $u >> 16;\n    var v1 = $v >> 16;\n    var t = (u1 * v0 >>> 0) + (u0 * v0 >>> 16);\n    return u1 * v1 + (t >> 16) + ((u0 * v1 >>> 0) + (t & UINT16) >> 16);\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  isubh: function isubh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 - (y1 >>> 0) - ((~$x0 & $y0 | ~($x0 ^ $y0) & $x0 - $y0 >>> 0) >>> 31) | 0;\n  }\n});\n","// https://gist.github.com/BrendanEich/4294d5c212a6d2254703\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  iaddh: function iaddh(x0, x1, y0, y1) {\n    var $x0 = x0 >>> 0;\n    var $x1 = x1 >>> 0;\n    var $y0 = y0 >>> 0;\n    return $x1 + (y1 >>> 0) + (($x0 & $y0 | ($x0 | $y0) & ~($x0 + $y0 >>> 0)) >>> 31) | 0;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar scale = require('./_math-scale');\nvar fround = require('./_math-fround');\n\n$export($export.S, 'Math', {\n  fscale: function fscale(x, inLow, inHigh, outLow, outHigh) {\n    return fround(scale(x, inLow, inHigh, outLow, outHigh));\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\nvar RAD_PER_DEG = 180 / Math.PI;\n\n$export($export.S, 'Math', {\n  degrees: function degrees(radians) {\n    return radians * RAD_PER_DEG;\n  }\n});\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { DEG_PER_RAD: Math.PI / 180 });\n","// https://rwaldron.github.io/proposal-math-extensions/\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clamp: function clamp(x, lower, upper) {\n    return Math.min(upper, Math.max(lower, x));\n  }\n});\n","// https://github.com/ljharb/proposal-is-error\nvar $export = require('./_export');\nvar cof = require('./_cof');\n\n$export($export.S, 'Error', {\n  isError: function isError(it) {\n    return cof(it) === 'Error';\n  }\n});\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.S, 'System', { global: require('./_global') });\n","// https://github.com/tc39/proposal-global\nvar $export = require('./_export');\n\n$export($export.G, { global: require('./_global') });\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.from\nrequire('./_set-collection-from')('WeakSet');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.from\nrequire('./_set-collection-from')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.from\nrequire('./_set-collection-from')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.from\nrequire('./_set-collection-from')('Map');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakset.of\nrequire('./_set-collection-of')('WeakSet');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-weakmap.of\nrequire('./_set-collection-of')('WeakMap');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-set.of\nrequire('./_set-collection-of')('Set');\n","// https://tc39.github.io/proposal-setmap-offrom/#sec-map.of\nrequire('./_set-collection-of')('Map');\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Set', { toJSON: require('./_collection-to-json')('Set') });\n","// https://github.com/DavidBruant/Map-Set.prototype.toJSON\nvar $export = require('./_export');\n\n$export($export.P + $export.R, 'Map', { toJSON: require('./_collection-to-json')('Map') });\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.5 Object.prototype.__lookupSetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupSetter__: function __lookupSetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.set;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\nvar getPrototypeOf = require('./_object-gpo');\nvar getOwnPropertyDescriptor = require('./_object-gopd').f;\n\n// B.2.2.4 Object.prototype.__lookupGetter__(P)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __lookupGetter__: function __lookupGetter__(P) {\n    var O = toObject(this);\n    var K = toPrimitive(P, true);\n    var D;\n    do {\n      if (D = getOwnPropertyDescriptor(O, K)) return D.get;\n    } while (O = getPrototypeOf(O));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.3 Object.prototype.__defineSetter__(P, setter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineSetter__: function __defineSetter__(P, setter) {\n    $defineProperty.f(toObject(this), P, { set: aFunction(setter), enumerable: true, configurable: true });\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar aFunction = require('./_a-function');\nvar $defineProperty = require('./_object-dp');\n\n// B.2.2.2 Object.prototype.__defineGetter__(P, getter)\nrequire('./_descriptors') && $export($export.P + require('./_object-forced-pam'), 'Object', {\n  __defineGetter__: function __defineGetter__(P, getter) {\n    $defineProperty.f(toObject(this), P, { get: aFunction(getter), enumerable: true, configurable: true });\n  }\n});\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $entries = require('./_object-to-array')(true);\n\n$export($export.S, 'Object', {\n  entries: function entries(it) {\n    return $entries(it);\n  }\n});\n","// https://github.com/tc39/proposal-object-values-entries\nvar $export = require('./_export');\nvar $values = require('./_object-to-array')(false);\n\n$export($export.S, 'Object', {\n  values: function values(it) {\n    return $values(it);\n  }\n});\n","// https://github.com/tc39/proposal-object-getownpropertydescriptors\nvar $export = require('./_export');\nvar ownKeys = require('./_own-keys');\nvar toIObject = require('./_to-iobject');\nvar gOPD = require('./_object-gopd');\nvar createProperty = require('./_create-property');\n\n$export($export.S, 'Object', {\n  getOwnPropertyDescriptors: function getOwnPropertyDescriptors(object) {\n    var O = toIObject(object);\n    var getDesc = gOPD.f;\n    var keys = ownKeys(O);\n    var result = {};\n    var i = 0;\n    var key, desc;\n    while (keys.length > i) {\n      desc = getDesc(O, key = keys[i++]);\n      if (desc !== undefined) createProperty(result, key, desc);\n    }\n    return result;\n  }\n});\n","require('./_wks-define')('observable');\n","require('./_wks-define')('asyncIterator');\n","'use strict';\n// https://tc39.github.io/String.prototype.matchAll/\nvar $export = require('./_export');\nvar defined = require('./_defined');\nvar toLength = require('./_to-length');\nvar isRegExp = require('./_is-regexp');\nvar getFlags = require('./_flags');\nvar RegExpProto = RegExp.prototype;\n\nvar $RegExpStringIterator = function (regexp, string) {\n  this._r = regexp;\n  this._s = string;\n};\n\nrequire('./_iter-create')($RegExpStringIterator, 'RegExp String', function next() {\n  var match = this._r.exec(this._s);\n  return { value: match, done: match === null };\n});\n\n$export($export.P, 'String', {\n  matchAll: function matchAll(regexp) {\n    defined(this);\n    if (!isRegExp(regexp)) throw TypeError(regexp + ' is not a regexp!');\n    var S = String(this);\n    var flags = 'flags' in RegExpProto ? String(regexp.flags) : getFlags.call(regexp);\n    var rx = new RegExp(regexp.source, ~flags.indexOf('g') ? flags : 'g' + flags);\n    rx.lastIndex = toLength(regexp.lastIndex);\n    return new $RegExpStringIterator(rx, S);\n  }\n});\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimRight', function ($trim) {\n  return function trimRight() {\n    return $trim(this, 2);\n  };\n}, 'trimEnd');\n","'use strict';\n// https://github.com/sebmarkbage/ecmascript-string-left-right-trim\nrequire('./_string-trim')('trimLeft', function ($trim) {\n  return function trimLeft() {\n    return $trim(this, 1);\n  };\n}, 'trimStart');\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\n$export($export.P + $export.F * /Version\\/10\\.\\d+(\\.\\d+)? Safari\\//.test(userAgent), 'String', {\n  padEnd: function padEnd(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, false);\n  }\n});\n","'use strict';\n// https://github.com/tc39/proposal-string-pad-start-end\nvar $export = require('./_export');\nvar $pad = require('./_string-pad');\nvar userAgent = require('./_user-agent');\n\n// https://github.com/zloirock/core-js/issues/280\n$export($export.P + $export.F * /Version\\/10\\.\\d+(\\.\\d+)? Safari\\//.test(userAgent), 'String', {\n  padStart: function padStart(maxLength /* , fillString = ' ' */) {\n    return $pad(this, maxLength, arguments.length > 1 ? arguments[1] : undefined, true);\n  }\n});\n","'use strict';\n// https://github.com/mathiasbynens/String.prototype.at\nvar $export = require('./_export');\nvar $at = require('./_string-at')(true);\n\n$export($export.P, 'String', {\n  at: function at(pos) {\n    return $at(this, pos);\n  }\n});\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatten\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatten: function flatten(/* depthArg = 1 */) {\n    var depthArg = arguments[0];\n    var O = toObject(this);\n    var sourceLen = toLength(O.length);\n    var A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, depthArg === undefined ? 1 : toInteger(depthArg));\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatten');\n","'use strict';\n// https://tc39.github.io/proposal-flatMap/#sec-Array.prototype.flatMap\nvar $export = require('./_export');\nvar flattenIntoArray = require('./_flatten-into-array');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar aFunction = require('./_a-function');\nvar arraySpeciesCreate = require('./_array-species-create');\n\n$export($export.P, 'Array', {\n  flatMap: function flatMap(callbackfn /* , thisArg */) {\n    var O = toObject(this);\n    var sourceLen, A;\n    aFunction(callbackfn);\n    sourceLen = toLength(O.length);\n    A = arraySpeciesCreate(O, 0);\n    flattenIntoArray(A, O, O, sourceLen, 0, 1, callbackfn, arguments[1]);\n    return A;\n  }\n});\n\nrequire('./_add-to-unscopables')('flatMap');\n","'use strict';\n// https://github.com/tc39/Array.prototype.includes\nvar $export = require('./_export');\nvar $includes = require('./_array-includes')(true);\n\n$export($export.P, 'Array', {\n  includes: function includes(el /* , fromIndex = 0 */) {\n    return $includes(this, el, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n\nrequire('./_add-to-unscopables')('includes');\n","// 26.1.14 Reflect.setPrototypeOf(target, proto)\nvar $export = require('./_export');\nvar setProto = require('./_set-proto');\n\nif (setProto) $export($export.S, 'Reflect', {\n  setPrototypeOf: function setPrototypeOf(target, proto) {\n    setProto.check(target, proto);\n    try {\n      setProto.set(target, proto);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.13 Reflect.set(target, propertyKey, V [, receiver])\nvar dP = require('./_object-dp');\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar createDesc = require('./_property-desc');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\n\nfunction set(target, propertyKey, V /* , receiver */) {\n  var receiver = arguments.length < 4 ? target : arguments[3];\n  var ownDesc = gOPD.f(anObject(target), propertyKey);\n  var existingDescriptor, proto;\n  if (!ownDesc) {\n    if (isObject(proto = getPrototypeOf(target))) {\n      return set(proto, propertyKey, V, receiver);\n    }\n    ownDesc = createDesc(0);\n  }\n  if (has(ownDesc, 'value')) {\n    if (ownDesc.writable === false || !isObject(receiver)) return false;\n    if (existingDescriptor = gOPD.f(receiver, propertyKey)) {\n      if (existingDescriptor.get || existingDescriptor.set || existingDescriptor.writable === false) return false;\n      existingDescriptor.value = V;\n      dP.f(receiver, propertyKey, existingDescriptor);\n    } else dP.f(receiver, propertyKey, createDesc(0, V));\n    return true;\n  }\n  return ownDesc.set === undefined ? false : (ownDesc.set.call(receiver, V), true);\n}\n\n$export($export.S, 'Reflect', { set: set });\n","// 26.1.12 Reflect.preventExtensions(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $preventExtensions = Object.preventExtensions;\n\n$export($export.S, 'Reflect', {\n  preventExtensions: function preventExtensions(target) {\n    anObject(target);\n    try {\n      if ($preventExtensions) $preventExtensions(target);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.11 Reflect.ownKeys(target)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', { ownKeys: require('./_own-keys') });\n","// 26.1.10 Reflect.isExtensible(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar $isExtensible = Object.isExtensible;\n\n$export($export.S, 'Reflect', {\n  isExtensible: function isExtensible(target) {\n    anObject(target);\n    return $isExtensible ? $isExtensible(target) : true;\n  }\n});\n","// 26.1.9 Reflect.has(target, propertyKey)\nvar $export = require('./_export');\n\n$export($export.S, 'Reflect', {\n  has: function has(target, propertyKey) {\n    return propertyKey in target;\n  }\n});\n","// 26.1.8 Reflect.getPrototypeOf(target)\nvar $export = require('./_export');\nvar getProto = require('./_object-gpo');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getPrototypeOf: function getPrototypeOf(target) {\n    return getProto(anObject(target));\n  }\n});\n","// 26.1.7 Reflect.getOwnPropertyDescriptor(target, propertyKey)\nvar gOPD = require('./_object-gopd');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  getOwnPropertyDescriptor: function getOwnPropertyDescriptor(target, propertyKey) {\n    return gOPD.f(anObject(target), propertyKey);\n  }\n});\n","// 26.1.6 Reflect.get(target, propertyKey [, receiver])\nvar gOPD = require('./_object-gopd');\nvar getPrototypeOf = require('./_object-gpo');\nvar has = require('./_has');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar anObject = require('./_an-object');\n\nfunction get(target, propertyKey /* , receiver */) {\n  var receiver = arguments.length < 3 ? target : arguments[2];\n  var desc, proto;\n  if (anObject(target) === receiver) return target[propertyKey];\n  if (desc = gOPD.f(target, propertyKey)) return has(desc, 'value')\n    ? desc.value\n    : desc.get !== undefined\n      ? desc.get.call(receiver)\n      : undefined;\n  if (isObject(proto = getPrototypeOf(target))) return get(proto, propertyKey, receiver);\n}\n\n$export($export.S, 'Reflect', { get: get });\n","'use strict';\n// 26.1.5 Reflect.enumerate(target)\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar Enumerate = function (iterated) {\n  this._t = anObject(iterated); // target\n  this._i = 0;                  // next index\n  var keys = this._k = [];      // keys\n  var key;\n  for (key in iterated) keys.push(key);\n};\nrequire('./_iter-create')(Enumerate, 'Object', function () {\n  var that = this;\n  var keys = that._k;\n  var key;\n  do {\n    if (that._i >= keys.length) return { value: undefined, done: true };\n  } while (!((key = keys[that._i++]) in that._t));\n  return { value: key, done: false };\n});\n\n$export($export.S, 'Reflect', {\n  enumerate: function enumerate(target) {\n    return new Enumerate(target);\n  }\n});\n","// 26.1.4 Reflect.deleteProperty(target, propertyKey)\nvar $export = require('./_export');\nvar gOPD = require('./_object-gopd').f;\nvar anObject = require('./_an-object');\n\n$export($export.S, 'Reflect', {\n  deleteProperty: function deleteProperty(target, propertyKey) {\n    var desc = gOPD(anObject(target), propertyKey);\n    return desc && !desc.configurable ? false : delete target[propertyKey];\n  }\n});\n","// 26.1.3 Reflect.defineProperty(target, propertyKey, attributes)\nvar dP = require('./_object-dp');\nvar $export = require('./_export');\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\n\n// MS Edge has broken Reflect.defineProperty - throwing instead of returning false\n$export($export.S + $export.F * require('./_fails')(function () {\n  // eslint-disable-next-line no-undef\n  Reflect.defineProperty(dP.f({}, 1, { value: 1 }), 1, { value: 2 });\n}), 'Reflect', {\n  defineProperty: function defineProperty(target, propertyKey, attributes) {\n    anObject(target);\n    propertyKey = toPrimitive(propertyKey, true);\n    anObject(attributes);\n    try {\n      dP.f(target, propertyKey, attributes);\n      return true;\n    } catch (e) {\n      return false;\n    }\n  }\n});\n","// 26.1.2 Reflect.construct(target, argumentsList [, newTarget])\nvar $export = require('./_export');\nvar create = require('./_object-create');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar fails = require('./_fails');\nvar bind = require('./_bind');\nvar rConstruct = (require('./_global').Reflect || {}).construct;\n\n// MS Edge supports only 2 arguments and argumentsList argument is optional\n// FF Nightly sets third argument as `new.target`, but does not create `this` from it\nvar NEW_TARGET_BUG = fails(function () {\n  function F() { /* empty */ }\n  return !(rConstruct(function () { /* empty */ }, [], F) instanceof F);\n});\nvar ARGS_BUG = !fails(function () {\n  rConstruct(function () { /* empty */ });\n});\n\n$export($export.S + $export.F * (NEW_TARGET_BUG || ARGS_BUG), 'Reflect', {\n  construct: function construct(Target, args /* , newTarget */) {\n    aFunction(Target);\n    anObject(args);\n    var newTarget = arguments.length < 3 ? Target : aFunction(arguments[2]);\n    if (ARGS_BUG && !NEW_TARGET_BUG) return rConstruct(Target, args, newTarget);\n    if (Target == newTarget) {\n      // w/o altered newTarget, optimization for 0-4 arguments\n      switch (args.length) {\n        case 0: return new Target();\n        case 1: return new Target(args[0]);\n        case 2: return new Target(args[0], args[1]);\n        case 3: return new Target(args[0], args[1], args[2]);\n        case 4: return new Target(args[0], args[1], args[2], args[3]);\n      }\n      // w/o altered newTarget, lot of arguments case\n      var $args = [null];\n      $args.push.apply($args, args);\n      return new (bind.apply(Target, $args))();\n    }\n    // with altered newTarget, not support built-in constructors\n    var proto = newTarget.prototype;\n    var instance = create(isObject(proto) ? proto : Object.prototype);\n    var result = Function.apply.call(Target, instance, args);\n    return isObject(result) ? result : instance;\n  }\n});\n","// 26.1.1 Reflect.apply(target, thisArgument, argumentsList)\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar anObject = require('./_an-object');\nvar rApply = (require('./_global').Reflect || {}).apply;\nvar fApply = Function.apply;\n// MS Edge argumentsList argument is optional\n$export($export.S + $export.F * !require('./_fails')(function () {\n  rApply(function () { /* empty */ });\n}), 'Reflect', {\n  apply: function apply(target, thisArgument, argumentsList) {\n    var T = aFunction(target);\n    var L = anObject(argumentsList);\n    return rApply ? rApply(T, thisArgument, L) : fApply.call(T, thisArgument, L);\n  }\n});\n","require('./_typed-array')('Float64', 8, function (init) {\n  return function Float64Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Float32', 4, function (init) {\n  return function Float32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint32', 4, function (init) {\n  return function Uint32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int32', 4, function (init) {\n  return function Int32Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint16', 2, function (init) {\n  return function Uint16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int16', 2, function (init) {\n  return function Int16Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8ClampedArray(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n}, true);\n","require('./_typed-array')('Uint8', 1, function (init) {\n  return function Uint8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","require('./_typed-array')('Int8', 1, function (init) {\n  return function Int8Array(data, byteOffset, length) {\n    return init(this, data, byteOffset, length);\n  };\n});\n","var $export = require('./_export');\n$export($export.G + $export.W + $export.F * !require('./_typed').ABV, {\n  DataView: require('./_typed-buffer').DataView\n});\n","'use strict';\nvar $export = require('./_export');\nvar $typed = require('./_typed');\nvar buffer = require('./_typed-buffer');\nvar anObject = require('./_an-object');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar isObject = require('./_is-object');\nvar ArrayBuffer = require('./_global').ArrayBuffer;\nvar speciesConstructor = require('./_species-constructor');\nvar $ArrayBuffer = buffer.ArrayBuffer;\nvar $DataView = buffer.DataView;\nvar $isView = $typed.ABV && ArrayBuffer.isView;\nvar $slice = $ArrayBuffer.prototype.slice;\nvar VIEW = $typed.VIEW;\nvar ARRAY_BUFFER = 'ArrayBuffer';\n\n$export($export.G + $export.W + $export.F * (ArrayBuffer !== $ArrayBuffer), { ArrayBuffer: $ArrayBuffer });\n\n$export($export.S + $export.F * !$typed.CONSTR, ARRAY_BUFFER, {\n  // 24.1.3.1 ArrayBuffer.isView(arg)\n  isView: function isView(it) {\n    return $isView && $isView(it) || isObject(it) && VIEW in it;\n  }\n});\n\n$export($export.P + $export.U + $export.F * require('./_fails')(function () {\n  return !new $ArrayBuffer(2).slice(1, undefined).byteLength;\n}), ARRAY_BUFFER, {\n  // 24.1.4.3 ArrayBuffer.prototype.slice(start, end)\n  slice: function slice(start, end) {\n    if ($slice !== undefined && end === undefined) return $slice.call(anObject(this), start); // FF fix\n    var len = anObject(this).byteLength;\n    var first = toAbsoluteIndex(start, len);\n    var fin = toAbsoluteIndex(end === undefined ? len : end, len);\n    var result = new (speciesConstructor(this, $ArrayBuffer))(toLength(fin - first));\n    var viewS = new $DataView(this);\n    var viewT = new $DataView(result);\n    var index = 0;\n    while (first < fin) {\n      viewT.setUint8(index++, viewS.getUint8(first++));\n    } return result;\n  }\n});\n\nrequire('./_set-species')(ARRAY_BUFFER);\n","'use strict';\nvar weak = require('./_collection-weak');\nvar validate = require('./_validate-collection');\nvar WEAK_SET = 'WeakSet';\n\n// 23.4 WeakSet Objects\nrequire('./_collection')(WEAK_SET, function (get) {\n  return function WeakSet() { return get(this, arguments.length > 0 ? arguments[0] : undefined); };\n}, {\n  // 23.4.3.1 WeakSet.prototype.add(value)\n  add: function add(value) {\n    return weak.def(validate(this, WEAK_SET), value, true);\n  }\n}, weak, false, true);\n","'use strict';\nvar LIBRARY = require('./_library');\nvar global = require('./_global');\nvar ctx = require('./_ctx');\nvar classof = require('./_classof');\nvar $export = require('./_export');\nvar isObject = require('./_is-object');\nvar aFunction = require('./_a-function');\nvar anInstance = require('./_an-instance');\nvar forOf = require('./_for-of');\nvar speciesConstructor = require('./_species-constructor');\nvar task = require('./_task').set;\nvar microtask = require('./_microtask')();\nvar newPromiseCapabilityModule = require('./_new-promise-capability');\nvar perform = require('./_perform');\nvar userAgent = require('./_user-agent');\nvar promiseResolve = require('./_promise-resolve');\nvar PROMISE = 'Promise';\nvar TypeError = global.TypeError;\nvar process = global.process;\nvar versions = process && process.versions;\nvar v8 = versions && versions.v8 || '';\nvar $Promise = global[PROMISE];\nvar isNode = classof(process) == 'process';\nvar empty = function () { /* empty */ };\nvar Internal, newGenericPromiseCapability, OwnPromiseCapability, Wrapper;\nvar newPromiseCapability = newGenericPromiseCapability = newPromiseCapabilityModule.f;\n\nvar USE_NATIVE = !!function () {\n  try {\n    // correct subclassing with @@species support\n    var promise = $Promise.resolve(1);\n    var FakePromise = (promise.constructor = {})[require('./_wks')('species')] = function (exec) {\n      exec(empty, empty);\n    };\n    // unhandled rejections tracking support, NodeJS Promise without it fails @@species test\n    return (isNode || typeof PromiseRejectionEvent == 'function')\n      && promise.then(empty) instanceof FakePromise\n      // v8 6.6 (Node 10 and Chrome 66) have a bug with resolving custom thenables\n      // https://bugs.chromium.org/p/chromium/issues/detail?id=830565\n      // we can't detect it synchronously, so just check versions\n      && v8.indexOf('6.6') !== 0\n      && userAgent.indexOf('Chrome/66') === -1;\n  } catch (e) { /* empty */ }\n}();\n\n// helpers\nvar isThenable = function (it) {\n  var then;\n  return isObject(it) && typeof (then = it.then) == 'function' ? then : false;\n};\nvar notify = function (promise, isReject) {\n  if (promise._n) return;\n  promise._n = true;\n  var chain = promise._c;\n  microtask(function () {\n    var value = promise._v;\n    var ok = promise._s == 1;\n    var i = 0;\n    var run = function (reaction) {\n      var handler = ok ? reaction.ok : reaction.fail;\n      var resolve = reaction.resolve;\n      var reject = reaction.reject;\n      var domain = reaction.domain;\n      var result, then, exited;\n      try {\n        if (handler) {\n          if (!ok) {\n            if (promise._h == 2) onHandleUnhandled(promise);\n            promise._h = 1;\n          }\n          if (handler === true) result = value;\n          else {\n            if (domain) domain.enter();\n            result = handler(value); // may throw\n            if (domain) {\n              domain.exit();\n              exited = true;\n            }\n          }\n          if (result === reaction.promise) {\n            reject(TypeError('Promise-chain cycle'));\n          } else if (then = isThenable(result)) {\n            then.call(result, resolve, reject);\n          } else resolve(result);\n        } else reject(value);\n      } catch (e) {\n        if (domain && !exited) domain.exit();\n        reject(e);\n      }\n    };\n    while (chain.length > i) run(chain[i++]); // variable length - can't use forEach\n    promise._c = [];\n    promise._n = false;\n    if (isReject && !promise._h) onUnhandled(promise);\n  });\n};\nvar onUnhandled = function (promise) {\n  task.call(global, function () {\n    var value = promise._v;\n    var unhandled = isUnhandled(promise);\n    var result, handler, console;\n    if (unhandled) {\n      result = perform(function () {\n        if (isNode) {\n          process.emit('unhandledRejection', value, promise);\n        } else if (handler = global.onunhandledrejection) {\n          handler({ promise: promise, reason: value });\n        } else if ((console = global.console) && console.error) {\n          console.error('Unhandled promise rejection', value);\n        }\n      });\n      // Browsers should not trigger `rejectionHandled` event if it was handled here, NodeJS - should\n      promise._h = isNode || isUnhandled(promise) ? 2 : 1;\n    } promise._a = undefined;\n    if (unhandled && result.e) throw result.v;\n  });\n};\nvar isUnhandled = function (promise) {\n  return promise._h !== 1 && (promise._a || promise._c).length === 0;\n};\nvar onHandleUnhandled = function (promise) {\n  task.call(global, function () {\n    var handler;\n    if (isNode) {\n      process.emit('rejectionHandled', promise);\n    } else if (handler = global.onrejectionhandled) {\n      handler({ promise: promise, reason: promise._v });\n    }\n  });\n};\nvar $reject = function (value) {\n  var promise = this;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  promise._v = value;\n  promise._s = 2;\n  if (!promise._a) promise._a = promise._c.slice();\n  notify(promise, true);\n};\nvar $resolve = function (value) {\n  var promise = this;\n  var then;\n  if (promise._d) return;\n  promise._d = true;\n  promise = promise._w || promise; // unwrap\n  try {\n    if (promise === value) throw TypeError(\"Promise can't be resolved itself\");\n    if (then = isThenable(value)) {\n      microtask(function () {\n        var wrapper = { _w: promise, _d: false }; // wrap\n        try {\n          then.call(value, ctx($resolve, wrapper, 1), ctx($reject, wrapper, 1));\n        } catch (e) {\n          $reject.call(wrapper, e);\n        }\n      });\n    } else {\n      promise._v = value;\n      promise._s = 1;\n      notify(promise, false);\n    }\n  } catch (e) {\n    $reject.call({ _w: promise, _d: false }, e); // wrap\n  }\n};\n\n// constructor polyfill\nif (!USE_NATIVE) {\n  // 25.4.3.1 Promise(executor)\n  $Promise = function Promise(executor) {\n    anInstance(this, $Promise, PROMISE, '_h');\n    aFunction(executor);\n    Internal.call(this);\n    try {\n      executor(ctx($resolve, this, 1), ctx($reject, this, 1));\n    } catch (err) {\n      $reject.call(this, err);\n    }\n  };\n  // eslint-disable-next-line no-unused-vars\n  Internal = function Promise(executor) {\n    this._c = [];             // <- awaiting reactions\n    this._a = undefined;      // <- checked in isUnhandled reactions\n    this._s = 0;              // <- state\n    this._d = false;          // <- done\n    this._v = undefined;      // <- value\n    this._h = 0;              // <- rejection state, 0 - default, 1 - handled, 2 - unhandled\n    this._n = false;          // <- notify\n  };\n  Internal.prototype = require('./_redefine-all')($Promise.prototype, {\n    // 25.4.5.3 Promise.prototype.then(onFulfilled, onRejected)\n    then: function then(onFulfilled, onRejected) {\n      var reaction = newPromiseCapability(speciesConstructor(this, $Promise));\n      reaction.ok = typeof onFulfilled == 'function' ? onFulfilled : true;\n      reaction.fail = typeof onRejected == 'function' && onRejected;\n      reaction.domain = isNode ? process.domain : undefined;\n      this._c.push(reaction);\n      if (this._a) this._a.push(reaction);\n      if (this._s) notify(this, false);\n      return reaction.promise;\n    },\n    // 25.4.5.1 Promise.prototype.catch(onRejected)\n    'catch': function (onRejected) {\n      return this.then(undefined, onRejected);\n    }\n  });\n  OwnPromiseCapability = function () {\n    var promise = new Internal();\n    this.promise = promise;\n    this.resolve = ctx($resolve, promise, 1);\n    this.reject = ctx($reject, promise, 1);\n  };\n  newPromiseCapabilityModule.f = newPromiseCapability = function (C) {\n    return C === $Promise || C === Wrapper\n      ? new OwnPromiseCapability(C)\n      : newGenericPromiseCapability(C);\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Promise: $Promise });\nrequire('./_set-to-string-tag')($Promise, PROMISE);\nrequire('./_set-species')(PROMISE);\nWrapper = require('./_core')[PROMISE];\n\n// statics\n$export($export.S + $export.F * !USE_NATIVE, PROMISE, {\n  // 25.4.4.5 Promise.reject(r)\n  reject: function reject(r) {\n    var capability = newPromiseCapability(this);\n    var $$reject = capability.reject;\n    $$reject(r);\n    return capability.promise;\n  }\n});\n$export($export.S + $export.F * (LIBRARY || !USE_NATIVE), PROMISE, {\n  // 25.4.4.6 Promise.resolve(x)\n  resolve: function resolve(x) {\n    return promiseResolve(LIBRARY && this === Wrapper ? $Promise : this, x);\n  }\n});\n$export($export.S + $export.F * !(USE_NATIVE && require('./_iter-detect')(function (iter) {\n  $Promise.all(iter)['catch'](empty);\n})), PROMISE, {\n  // 25.4.4.1 Promise.all(iterable)\n  all: function all(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var resolve = capability.resolve;\n    var reject = capability.reject;\n    var result = perform(function () {\n      var values = [];\n      var index = 0;\n      var remaining = 1;\n      forOf(iterable, false, function (promise) {\n        var $index = index++;\n        var alreadyCalled = false;\n        values.push(undefined);\n        remaining++;\n        C.resolve(promise).then(function (value) {\n          if (alreadyCalled) return;\n          alreadyCalled = true;\n          values[$index] = value;\n          --remaining || resolve(values);\n        }, reject);\n      });\n      --remaining || resolve(values);\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  },\n  // 25.4.4.4 Promise.race(iterable)\n  race: function race(iterable) {\n    var C = this;\n    var capability = newPromiseCapability(C);\n    var reject = capability.reject;\n    var result = perform(function () {\n      forOf(iterable, false, function (promise) {\n        C.resolve(promise).then(capability.resolve, reject);\n      });\n    });\n    if (result.e) reject(result.v);\n    return capability.promise;\n  }\n});\n","'use strict';\n\nvar isRegExp = require('./_is-regexp');\nvar anObject = require('./_an-object');\nvar speciesConstructor = require('./_species-constructor');\nvar advanceStringIndex = require('./_advance-string-index');\nvar toLength = require('./_to-length');\nvar callRegExpExec = require('./_regexp-exec-abstract');\nvar regexpExec = require('./_regexp-exec');\nvar fails = require('./_fails');\nvar $min = Math.min;\nvar $push = [].push;\nvar $SPLIT = 'split';\nvar LENGTH = 'length';\nvar LAST_INDEX = 'lastIndex';\nvar MAX_UINT32 = 0xffffffff;\n\n// babel-minify transpiles RegExp('x', 'y') -> /x/y and it causes SyntaxError\nvar SUPPORTS_Y = !fails(function () { RegExp(MAX_UINT32, 'y'); });\n\n// @@split logic\nrequire('./_fix-re-wks')('split', 2, function (defined, SPLIT, $split, maybeCallNative) {\n  var internalSplit;\n  if (\n    'abbc'[$SPLIT](/(b)*/)[1] == 'c' ||\n    'test'[$SPLIT](/(?:)/, -1)[LENGTH] != 4 ||\n    'ab'[$SPLIT](/(?:ab)*/)[LENGTH] != 2 ||\n    '.'[$SPLIT](/(.?)(.?)/)[LENGTH] != 4 ||\n    '.'[$SPLIT](/()()/)[LENGTH] > 1 ||\n    ''[$SPLIT](/.?/)[LENGTH]\n  ) {\n    // based on es5-shim implementation, need to rework it\n    internalSplit = function (separator, limit) {\n      var string = String(this);\n      if (separator === undefined && limit === 0) return [];\n      // If `separator` is not a regex, use native split\n      if (!isRegExp(separator)) return $split.call(string, separator, limit);\n      var output = [];\n      var flags = (separator.ignoreCase ? 'i' : '') +\n                  (separator.multiline ? 'm' : '') +\n                  (separator.unicode ? 'u' : '') +\n                  (separator.sticky ? 'y' : '');\n      var lastLastIndex = 0;\n      var splitLimit = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      // Make `global` and avoid `lastIndex` issues by working with a copy\n      var separatorCopy = new RegExp(separator.source, flags + 'g');\n      var match, lastIndex, lastLength;\n      while (match = regexpExec.call(separatorCopy, string)) {\n        lastIndex = separatorCopy[LAST_INDEX];\n        if (lastIndex > lastLastIndex) {\n          output.push(string.slice(lastLastIndex, match.index));\n          if (match[LENGTH] > 1 && match.index < string[LENGTH]) $push.apply(output, match.slice(1));\n          lastLength = match[0][LENGTH];\n          lastLastIndex = lastIndex;\n          if (output[LENGTH] >= splitLimit) break;\n        }\n        if (separatorCopy[LAST_INDEX] === match.index) separatorCopy[LAST_INDEX]++; // Avoid an infinite loop\n      }\n      if (lastLastIndex === string[LENGTH]) {\n        if (lastLength || !separatorCopy.test('')) output.push('');\n      } else output.push(string.slice(lastLastIndex));\n      return output[LENGTH] > splitLimit ? output.slice(0, splitLimit) : output;\n    };\n  // Chakra, V8\n  } else if ('0'[$SPLIT](undefined, 0)[LENGTH]) {\n    internalSplit = function (separator, limit) {\n      return separator === undefined && limit === 0 ? [] : $split.call(this, separator, limit);\n    };\n  } else {\n    internalSplit = $split;\n  }\n\n  return [\n    // `String.prototype.split` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.split\n    function split(separator, limit) {\n      var O = defined(this);\n      var splitter = separator == undefined ? undefined : separator[SPLIT];\n      return splitter !== undefined\n        ? splitter.call(separator, O, limit)\n        : internalSplit.call(String(O), separator, limit);\n    },\n    // `RegExp.prototype[@@split]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@split\n    //\n    // NOTE: This cannot be properly polyfilled in engines that don't support\n    // the 'y' flag.\n    function (regexp, limit) {\n      var res = maybeCallNative(internalSplit, regexp, this, limit, internalSplit !== $split);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var C = speciesConstructor(rx, RegExp);\n\n      var unicodeMatching = rx.unicode;\n      var flags = (rx.ignoreCase ? 'i' : '') +\n                  (rx.multiline ? 'm' : '') +\n                  (rx.unicode ? 'u' : '') +\n                  (SUPPORTS_Y ? 'y' : 'g');\n\n      // ^(? + rx + ) is needed, in combination with some S slicing, to\n      // simulate the 'y' flag.\n      var splitter = new C(SUPPORTS_Y ? rx : '^(?:' + rx.source + ')', flags);\n      var lim = limit === undefined ? MAX_UINT32 : limit >>> 0;\n      if (lim === 0) return [];\n      if (S.length === 0) return callRegExpExec(splitter, S) === null ? [S] : [];\n      var p = 0;\n      var q = 0;\n      var A = [];\n      while (q < S.length) {\n        splitter.lastIndex = SUPPORTS_Y ? q : 0;\n        var z = callRegExpExec(splitter, SUPPORTS_Y ? S : S.slice(q));\n        var e;\n        if (\n          z === null ||\n          (e = $min(toLength(splitter.lastIndex + (SUPPORTS_Y ? 0 : q)), S.length)) === p\n        ) {\n          q = advanceStringIndex(S, q, unicodeMatching);\n        } else {\n          A.push(S.slice(p, q));\n          if (A.length === lim) return A;\n          for (var i = 1; i <= z.length - 1; i++) {\n            A.push(z[i]);\n            if (A.length === lim) return A;\n          }\n          q = p = e;\n        }\n      }\n      A.push(S.slice(p));\n      return A;\n    }\n  ];\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar sameValue = require('./_same-value');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@search logic\nrequire('./_fix-re-wks')('search', 1, function (defined, SEARCH, $search, maybeCallNative) {\n  return [\n    // `String.prototype.search` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.search\n    function search(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[SEARCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[SEARCH](String(O));\n    },\n    // `RegExp.prototype[@@search]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@search\n    function (regexp) {\n      var res = maybeCallNative($search, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      var previousLastIndex = rx.lastIndex;\n      if (!sameValue(previousLastIndex, 0)) rx.lastIndex = 0;\n      var result = regExpExec(rx, S);\n      if (!sameValue(rx.lastIndex, previousLastIndex)) rx.lastIndex = previousLastIndex;\n      return result === null ? -1 : result.index;\n    }\n  ];\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toObject = require('./_to-object');\nvar toLength = require('./_to-length');\nvar toInteger = require('./_to-integer');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\nvar max = Math.max;\nvar min = Math.min;\nvar floor = Math.floor;\nvar SUBSTITUTION_SYMBOLS = /\\$([$&`']|\\d\\d?|<[^>]*>)/g;\nvar SUBSTITUTION_SYMBOLS_NO_NAMED = /\\$([$&`']|\\d\\d?)/g;\n\nvar maybeToString = function (it) {\n  return it === undefined ? it : String(it);\n};\n\n// @@replace logic\nrequire('./_fix-re-wks')('replace', 2, function (defined, REPLACE, $replace, maybeCallNative) {\n  return [\n    // `String.prototype.replace` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.replace\n    function replace(searchValue, replaceValue) {\n      var O = defined(this);\n      var fn = searchValue == undefined ? undefined : searchValue[REPLACE];\n      return fn !== undefined\n        ? fn.call(searchValue, O, replaceValue)\n        : $replace.call(String(O), searchValue, replaceValue);\n    },\n    // `RegExp.prototype[@@replace]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@replace\n    function (regexp, replaceValue) {\n      var res = maybeCallNative($replace, regexp, this, replaceValue);\n      if (res.done) return res.value;\n\n      var rx = anObject(regexp);\n      var S = String(this);\n      var functionalReplace = typeof replaceValue === 'function';\n      if (!functionalReplace) replaceValue = String(replaceValue);\n      var global = rx.global;\n      if (global) {\n        var fullUnicode = rx.unicode;\n        rx.lastIndex = 0;\n      }\n      var results = [];\n      while (true) {\n        var result = regExpExec(rx, S);\n        if (result === null) break;\n        results.push(result);\n        if (!global) break;\n        var matchStr = String(result[0]);\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n      }\n      var accumulatedResult = '';\n      var nextSourcePosition = 0;\n      for (var i = 0; i < results.length; i++) {\n        result = results[i];\n        var matched = String(result[0]);\n        var position = max(min(toInteger(result.index), S.length), 0);\n        var captures = [];\n        // NOTE: This is equivalent to\n        //   captures = result.slice(1).map(maybeToString)\n        // but for some reason `nativeSlice.call(result, 1, result.length)` (called in\n        // the slice polyfill when slicing native arrays) \"doesn't work\" in safari 9 and\n        // causes a crash (https://pastebin.com/N21QzeQA) when trying to debug it.\n        for (var j = 1; j < result.length; j++) captures.push(maybeToString(result[j]));\n        var namedCaptures = result.groups;\n        if (functionalReplace) {\n          var replacerArgs = [matched].concat(captures, position, S);\n          if (namedCaptures !== undefined) replacerArgs.push(namedCaptures);\n          var replacement = String(replaceValue.apply(undefined, replacerArgs));\n        } else {\n          replacement = getSubstitution(matched, S, position, captures, namedCaptures, replaceValue);\n        }\n        if (position >= nextSourcePosition) {\n          accumulatedResult += S.slice(nextSourcePosition, position) + replacement;\n          nextSourcePosition = position + matched.length;\n        }\n      }\n      return accumulatedResult + S.slice(nextSourcePosition);\n    }\n  ];\n\n    // https://tc39.github.io/ecma262/#sec-getsubstitution\n  function getSubstitution(matched, str, position, captures, namedCaptures, replacement) {\n    var tailPos = position + matched.length;\n    var m = captures.length;\n    var symbols = SUBSTITUTION_SYMBOLS_NO_NAMED;\n    if (namedCaptures !== undefined) {\n      namedCaptures = toObject(namedCaptures);\n      symbols = SUBSTITUTION_SYMBOLS;\n    }\n    return $replace.call(replacement, symbols, function (match, ch) {\n      var capture;\n      switch (ch.charAt(0)) {\n        case '$': return '$';\n        case '&': return matched;\n        case '`': return str.slice(0, position);\n        case \"'\": return str.slice(tailPos);\n        case '<':\n          capture = namedCaptures[ch.slice(1, -1)];\n          break;\n        default: // \\d\\d?\n          var n = +ch;\n          if (n === 0) return match;\n          if (n > m) {\n            var f = floor(n / 10);\n            if (f === 0) return match;\n            if (f <= m) return captures[f - 1] === undefined ? ch.charAt(1) : captures[f - 1] + ch.charAt(1);\n            return match;\n          }\n          capture = captures[n - 1];\n      }\n      return capture === undefined ? '' : capture;\n    });\n  }\n});\n","'use strict';\n\nvar anObject = require('./_an-object');\nvar toLength = require('./_to-length');\nvar advanceStringIndex = require('./_advance-string-index');\nvar regExpExec = require('./_regexp-exec-abstract');\n\n// @@match logic\nrequire('./_fix-re-wks')('match', 1, function (defined, MATCH, $match, maybeCallNative) {\n  return [\n    // `String.prototype.match` method\n    // https://tc39.github.io/ecma262/#sec-string.prototype.match\n    function match(regexp) {\n      var O = defined(this);\n      var fn = regexp == undefined ? undefined : regexp[MATCH];\n      return fn !== undefined ? fn.call(regexp, O) : new RegExp(regexp)[MATCH](String(O));\n    },\n    // `RegExp.prototype[@@match]` method\n    // https://tc39.github.io/ecma262/#sec-regexp.prototype-@@match\n    function (regexp) {\n      var res = maybeCallNative($match, regexp, this);\n      if (res.done) return res.value;\n      var rx = anObject(regexp);\n      var S = String(this);\n      if (!rx.global) return regExpExec(rx, S);\n      var fullUnicode = rx.unicode;\n      rx.lastIndex = 0;\n      var A = [];\n      var n = 0;\n      var result;\n      while ((result = regExpExec(rx, S)) !== null) {\n        var matchStr = String(result[0]);\n        A[n] = matchStr;\n        if (matchStr === '') rx.lastIndex = advanceStringIndex(S, toLength(rx.lastIndex), fullUnicode);\n        n++;\n      }\n      return n === 0 ? null : A;\n    }\n  ];\n});\n","'use strict';\nrequire('./es6.regexp.flags');\nvar anObject = require('./_an-object');\nvar $flags = require('./_flags');\nvar DESCRIPTORS = require('./_descriptors');\nvar TO_STRING = 'toString';\nvar $toString = /./[TO_STRING];\n\nvar define = function (fn) {\n  require('./_redefine')(RegExp.prototype, TO_STRING, fn, true);\n};\n\n// 21.2.5.14 RegExp.prototype.toString()\nif (require('./_fails')(function () { return $toString.call({ source: 'a', flags: 'b' }) != '/a/b'; })) {\n  define(function toString() {\n    var R = anObject(this);\n    return '/'.concat(R.source, '/',\n      'flags' in R ? R.flags : !DESCRIPTORS && R instanceof RegExp ? $flags.call(R) : undefined);\n  });\n// FF44- RegExp#toString has a wrong name\n} else if ($toString.name != TO_STRING) {\n  define(function toString() {\n    return $toString.call(this);\n  });\n}\n","var global = require('./_global');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar dP = require('./_object-dp').f;\nvar gOPN = require('./_object-gopn').f;\nvar isRegExp = require('./_is-regexp');\nvar $flags = require('./_flags');\nvar $RegExp = global.RegExp;\nvar Base = $RegExp;\nvar proto = $RegExp.prototype;\nvar re1 = /a/g;\nvar re2 = /a/g;\n// \"new\" creates a new object, old webkit buggy here\nvar CORRECT_NEW = new $RegExp(re1) !== re1;\n\nif (require('./_descriptors') && (!CORRECT_NEW || require('./_fails')(function () {\n  re2[require('./_wks')('match')] = false;\n  // RegExp constructor can alter flags and IsRegExp works correct with @@match\n  return $RegExp(re1) != re1 || $RegExp(re2) == re2 || $RegExp(re1, 'i') != '/a/i';\n}))) {\n  $RegExp = function RegExp(p, f) {\n    var tiRE = this instanceof $RegExp;\n    var piRE = isRegExp(p);\n    var fiU = f === undefined;\n    return !tiRE && piRE && p.constructor === $RegExp && fiU ? p\n      : inheritIfRequired(CORRECT_NEW\n        ? new Base(piRE && !fiU ? p.source : p, f)\n        : Base((piRE = p instanceof $RegExp) ? p.source : p, piRE && fiU ? $flags.call(p) : f)\n      , tiRE ? this : proto, $RegExp);\n  };\n  var proxy = function (key) {\n    key in $RegExp || dP($RegExp, key, {\n      configurable: true,\n      get: function () { return Base[key]; },\n      set: function (it) { Base[key] = it; }\n    });\n  };\n  for (var keys = gOPN(Base), i = 0; keys.length > i;) proxy(keys[i++]);\n  proto.constructor = $RegExp;\n  $RegExp.prototype = proto;\n  require('./_redefine')(global, 'RegExp', $RegExp);\n}\n\nrequire('./_set-species')('RegExp');\n","require('./_set-species')('Array');\n","'use strict';\n// 22.1.3.9 Array.prototype.findIndex(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(6);\nvar KEY = 'findIndex';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  findIndex: function findIndex(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","'use strict';\n// 22.1.3.8 Array.prototype.find(predicate, thisArg = undefined)\nvar $export = require('./_export');\nvar $find = require('./_array-methods')(5);\nvar KEY = 'find';\nvar forced = true;\n// Shouldn't skip holes\nif (KEY in []) Array(1)[KEY](function () { forced = false; });\n$export($export.P + $export.F * forced, 'Array', {\n  find: function find(callbackfn /* , that = undefined */) {\n    return $find(this, callbackfn, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\nrequire('./_add-to-unscopables')(KEY);\n","// 22.1.3.6 Array.prototype.fill(value, start = 0, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { fill: require('./_array-fill') });\n\nrequire('./_add-to-unscopables')('fill');\n","// 22.1.3.3 Array.prototype.copyWithin(target, start, end = this.length)\nvar $export = require('./_export');\n\n$export($export.P, 'Array', { copyWithin: require('./_array-copy-within') });\n\nrequire('./_add-to-unscopables')('copyWithin');\n","'use strict';\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toInteger = require('./_to-integer');\nvar toLength = require('./_to-length');\nvar $native = [].lastIndexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].lastIndexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.14 / 15.4.4.15 Array.prototype.lastIndexOf(searchElement [, fromIndex])\n  lastIndexOf: function lastIndexOf(searchElement /* , fromIndex = @[*-1] */) {\n    // convert -0 to +0\n    if (NEGATIVE_ZERO) return $native.apply(this, arguments) || 0;\n    var O = toIObject(this);\n    var length = toLength(O.length);\n    var index = length - 1;\n    if (arguments.length > 1) index = Math.min(index, toInteger(arguments[1]));\n    if (index < 0) index = length + index;\n    for (;index >= 0; index--) if (index in O) if (O[index] === searchElement) return index || 0;\n    return -1;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $indexOf = require('./_array-includes')(false);\nvar $native = [].indexOf;\nvar NEGATIVE_ZERO = !!$native && 1 / [1].indexOf(1, -0) < 0;\n\n$export($export.P + $export.F * (NEGATIVE_ZERO || !require('./_strict-method')($native)), 'Array', {\n  // 22.1.3.11 / 15.4.4.14 Array.prototype.indexOf(searchElement [, fromIndex])\n  indexOf: function indexOf(searchElement /* , fromIndex = 0 */) {\n    return NEGATIVE_ZERO\n      // convert -0 to +0\n      ? $native.apply(this, arguments) || 0\n      : $indexOf(this, searchElement, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduceRight, true), 'Array', {\n  // 22.1.3.19 / 15.4.4.22 Array.prototype.reduceRight(callbackfn [, initialValue])\n  reduceRight: function reduceRight(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], true);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $reduce = require('./_array-reduce');\n\n$export($export.P + $export.F * !require('./_strict-method')([].reduce, true), 'Array', {\n  // 22.1.3.18 / 15.4.4.21 Array.prototype.reduce(callbackfn [, initialValue])\n  reduce: function reduce(callbackfn /* , initialValue */) {\n    return $reduce(this, callbackfn, arguments.length, arguments[1], false);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $every = require('./_array-methods')(4);\n\n$export($export.P + $export.F * !require('./_strict-method')([].every, true), 'Array', {\n  // 22.1.3.5 / 15.4.4.16 Array.prototype.every(callbackfn [, thisArg])\n  every: function every(callbackfn /* , thisArg */) {\n    return $every(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $some = require('./_array-methods')(3);\n\n$export($export.P + $export.F * !require('./_strict-method')([].some, true), 'Array', {\n  // 22.1.3.23 / 15.4.4.17 Array.prototype.some(callbackfn [, thisArg])\n  some: function some(callbackfn /* , thisArg */) {\n    return $some(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $filter = require('./_array-methods')(2);\n\n$export($export.P + $export.F * !require('./_strict-method')([].filter, true), 'Array', {\n  // 22.1.3.7 / 15.4.4.20 Array.prototype.filter(callbackfn [, thisArg])\n  filter: function filter(callbackfn /* , thisArg */) {\n    return $filter(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $map = require('./_array-methods')(1);\n\n$export($export.P + $export.F * !require('./_strict-method')([].map, true), 'Array', {\n  // 22.1.3.15 / 15.4.4.19 Array.prototype.map(callbackfn [, thisArg])\n  map: function map(callbackfn /* , thisArg */) {\n    return $map(this, callbackfn, arguments[1]);\n  }\n});\n","var isObject = require('./_is-object');\nvar isArray = require('./_is-array');\nvar SPECIES = require('./_wks')('species');\n\nmodule.exports = function (original) {\n  var C;\n  if (isArray(original)) {\n    C = original.constructor;\n    // cross-realm fallback\n    if (typeof C == 'function' && (C === Array || isArray(C.prototype))) C = undefined;\n    if (isObject(C)) {\n      C = C[SPECIES];\n      if (C === null) C = undefined;\n    }\n  } return C === undefined ? Array : C;\n};\n","'use strict';\nvar $export = require('./_export');\nvar $forEach = require('./_array-methods')(0);\nvar STRICT = require('./_strict-method')([].forEach, true);\n\n$export($export.P + $export.F * !STRICT, 'Array', {\n  // 22.1.3.10 / 15.4.4.18 Array.prototype.forEach(callbackfn [, thisArg])\n  forEach: function forEach(callbackfn /* , thisArg */) {\n    return $forEach(this, callbackfn, arguments[1]);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar aFunction = require('./_a-function');\nvar toObject = require('./_to-object');\nvar fails = require('./_fails');\nvar $sort = [].sort;\nvar test = [1, 2, 3];\n\n$export($export.P + $export.F * (fails(function () {\n  // IE8-\n  test.sort(undefined);\n}) || !fails(function () {\n  // V8 bug\n  test.sort(null);\n  // Old WebKit\n}) || !require('./_strict-method')($sort)), 'Array', {\n  // 22.1.3.25 Array.prototype.sort(comparefn)\n  sort: function sort(comparefn) {\n    return comparefn === undefined\n      ? $sort.call(toObject(this))\n      : $sort.call(toObject(this), aFunction(comparefn));\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar html = require('./_html');\nvar cof = require('./_cof');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar toLength = require('./_to-length');\nvar arraySlice = [].slice;\n\n// fallback for not array-like ES3 strings and DOM objects\n$export($export.P + $export.F * require('./_fails')(function () {\n  if (html) arraySlice.call(html);\n}), 'Array', {\n  slice: function slice(begin, end) {\n    var len = toLength(this.length);\n    var klass = cof(this);\n    end = end === undefined ? len : end;\n    if (klass == 'Array') return arraySlice.call(this, begin, end);\n    var start = toAbsoluteIndex(begin, len);\n    var upTo = toAbsoluteIndex(end, len);\n    var size = toLength(upTo - start);\n    var cloned = new Array(size);\n    var i = 0;\n    for (; i < size; i++) cloned[i] = klass == 'String'\n      ? this.charAt(start + i)\n      : this[start + i];\n    return cloned;\n  }\n});\n","'use strict';\n// 22.1.3.13 Array.prototype.join(separator)\nvar $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar arrayJoin = [].join;\n\n// fallback for not array-like strings\n$export($export.P + $export.F * (require('./_iobject') != Object || !require('./_strict-method')(arrayJoin)), 'Array', {\n  join: function join(separator) {\n    return arrayJoin.call(toIObject(this), separator === undefined ? ',' : separator);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar createProperty = require('./_create-property');\n\n// WebKit Array.of isn't generic\n$export($export.S + $export.F * require('./_fails')(function () {\n  function F() { /* empty */ }\n  return !(Array.of.call(F) instanceof F);\n}), 'Array', {\n  // 22.1.2.3 Array.of( ...items)\n  of: function of(/* ...args */) {\n    var index = 0;\n    var aLen = arguments.length;\n    var result = new (typeof this == 'function' ? this : Array)(aLen);\n    while (aLen > index) createProperty(result, index, arguments[index++]);\n    result.length = aLen;\n    return result;\n  }\n});\n","'use strict';\nvar ctx = require('./_ctx');\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar call = require('./_iter-call');\nvar isArrayIter = require('./_is-array-iter');\nvar toLength = require('./_to-length');\nvar createProperty = require('./_create-property');\nvar getIterFn = require('./core.get-iterator-method');\n\n$export($export.S + $export.F * !require('./_iter-detect')(function (iter) { Array.from(iter); }), 'Array', {\n  // 22.1.2.1 Array.from(arrayLike, mapfn = undefined, thisArg = undefined)\n  from: function from(arrayLike /* , mapfn = undefined, thisArg = undefined */) {\n    var O = toObject(arrayLike);\n    var C = typeof this == 'function' ? this : Array;\n    var aLen = arguments.length;\n    var mapfn = aLen > 1 ? arguments[1] : undefined;\n    var mapping = mapfn !== undefined;\n    var index = 0;\n    var iterFn = getIterFn(O);\n    var length, result, step, iterator;\n    if (mapping) mapfn = ctx(mapfn, aLen > 2 ? arguments[2] : undefined, 2);\n    // if object isn't iterable or it's array with default iterator - use simple case\n    if (iterFn != undefined && !(C == Array && isArrayIter(iterFn))) {\n      for (iterator = iterFn.call(O), result = new C(); !(step = iterator.next()).done; index++) {\n        createProperty(result, index, mapping ? call(iterator, mapfn, [step.value, index], true) : step.value);\n      }\n    } else {\n      length = toLength(O.length);\n      for (result = new C(length); length > index; index++) {\n        createProperty(result, index, mapping ? mapfn(O[index], index) : O[index]);\n      }\n    }\n    result.length = index;\n    return result;\n  }\n});\n","// 22.1.2.2 / 15.4.3.2 Array.isArray(arg)\nvar $export = require('./_export');\n\n$export($export.S, 'Array', { isArray: require('./_is-array') });\n","'use strict';\nvar anObject = require('./_an-object');\nvar toPrimitive = require('./_to-primitive');\nvar NUMBER = 'number';\n\nmodule.exports = function (hint) {\n  if (hint !== 'string' && hint !== NUMBER && hint !== 'default') throw TypeError('Incorrect hint');\n  return toPrimitive(anObject(this), hint != NUMBER);\n};\n","var TO_PRIMITIVE = require('./_wks')('toPrimitive');\nvar proto = Date.prototype;\n\nif (!(TO_PRIMITIVE in proto)) require('./_hide')(proto, TO_PRIMITIVE, require('./_date-to-primitive'));\n","var DateProto = Date.prototype;\nvar INVALID_DATE = 'Invalid Date';\nvar TO_STRING = 'toString';\nvar $toString = DateProto[TO_STRING];\nvar getTime = DateProto.getTime;\nif (new Date(NaN) + '' != INVALID_DATE) {\n  require('./_redefine')(DateProto, TO_STRING, function toString() {\n    var value = getTime.call(this);\n    // eslint-disable-next-line no-self-compare\n    return value === value ? $toString.call(this) : INVALID_DATE;\n  });\n}\n","'use strict';\n// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar fails = require('./_fails');\nvar getTime = Date.prototype.getTime;\nvar $toISOString = Date.prototype.toISOString;\n\nvar lz = function (num) {\n  return num > 9 ? num : '0' + num;\n};\n\n// PhantomJS / old WebKit has a broken implementations\nmodule.exports = (fails(function () {\n  return $toISOString.call(new Date(-5e13 - 1)) != '0385-07-25T07:06:39.999Z';\n}) || !fails(function () {\n  $toISOString.call(new Date(NaN));\n})) ? function toISOString() {\n  if (!isFinite(getTime.call(this))) throw RangeError('Invalid time value');\n  var d = this;\n  var y = d.getUTCFullYear();\n  var m = d.getUTCMilliseconds();\n  var s = y < 0 ? '-' : y > 9999 ? '+' : '';\n  return s + ('00000' + Math.abs(y)).slice(s ? -6 : -4) +\n    '-' + lz(d.getUTCMonth() + 1) + '-' + lz(d.getUTCDate()) +\n    'T' + lz(d.getUTCHours()) + ':' + lz(d.getUTCMinutes()) +\n    ':' + lz(d.getUTCSeconds()) + '.' + (m > 99 ? m : '0' + lz(m)) + 'Z';\n} : $toISOString;\n","// 20.3.4.36 / 15.9.5.43 Date.prototype.toISOString()\nvar $export = require('./_export');\nvar toISOString = require('./_date-to-iso-string');\n\n// PhantomJS / old WebKit has a broken implementations\n$export($export.P + $export.F * (Date.prototype.toISOString !== toISOString), 'Date', {\n  toISOString: toISOString\n});\n","'use strict';\nvar $export = require('./_export');\nvar toObject = require('./_to-object');\nvar toPrimitive = require('./_to-primitive');\n\n$export($export.P + $export.F * require('./_fails')(function () {\n  return new Date(NaN).toJSON() !== null\n    || Date.prototype.toJSON.call({ toISOString: function () { return 1; } }) !== 1;\n}), 'Date', {\n  // eslint-disable-next-line no-unused-vars\n  toJSON: function toJSON(key) {\n    var O = toObject(this);\n    var pv = toPrimitive(O);\n    return typeof pv == 'number' && !isFinite(pv) ? null : O.toISOString();\n  }\n});\n","// 20.3.3.1 / 15.9.4.4 Date.now()\nvar $export = require('./_export');\n\n$export($export.S, 'Date', { now: function () { return new Date().getTime(); } });\n","'use strict';\n// B.2.3.14 String.prototype.sup()\nrequire('./_string-html')('sup', function (createHTML) {\n  return function sup() {\n    return createHTML(this, 'sup', '', '');\n  };\n});\n","'use strict';\n// B.2.3.13 String.prototype.sub()\nrequire('./_string-html')('sub', function (createHTML) {\n  return function sub() {\n    return createHTML(this, 'sub', '', '');\n  };\n});\n","'use strict';\n// B.2.3.12 String.prototype.strike()\nrequire('./_string-html')('strike', function (createHTML) {\n  return function strike() {\n    return createHTML(this, 'strike', '', '');\n  };\n});\n","'use strict';\n// B.2.3.11 String.prototype.small()\nrequire('./_string-html')('small', function (createHTML) {\n  return function small() {\n    return createHTML(this, 'small', '', '');\n  };\n});\n","'use strict';\n// B.2.3.10 String.prototype.link(url)\nrequire('./_string-html')('link', function (createHTML) {\n  return function link(url) {\n    return createHTML(this, 'a', 'href', url);\n  };\n});\n","'use strict';\n// B.2.3.9 String.prototype.italics()\nrequire('./_string-html')('italics', function (createHTML) {\n  return function italics() {\n    return createHTML(this, 'i', '', '');\n  };\n});\n","'use strict';\n// B.2.3.8 String.prototype.fontsize(size)\nrequire('./_string-html')('fontsize', function (createHTML) {\n  return function fontsize(size) {\n    return createHTML(this, 'font', 'size', size);\n  };\n});\n","'use strict';\n// B.2.3.7 String.prototype.fontcolor(color)\nrequire('./_string-html')('fontcolor', function (createHTML) {\n  return function fontcolor(color) {\n    return createHTML(this, 'font', 'color', color);\n  };\n});\n","'use strict';\n// B.2.3.6 String.prototype.fixed()\nrequire('./_string-html')('fixed', function (createHTML) {\n  return function fixed() {\n    return createHTML(this, 'tt', '', '');\n  };\n});\n","'use strict';\n// B.2.3.5 String.prototype.bold()\nrequire('./_string-html')('bold', function (createHTML) {\n  return function bold() {\n    return createHTML(this, 'b', '', '');\n  };\n});\n","'use strict';\n// B.2.3.4 String.prototype.blink()\nrequire('./_string-html')('blink', function (createHTML) {\n  return function blink() {\n    return createHTML(this, 'blink', '', '');\n  };\n});\n","'use strict';\n// B.2.3.3 String.prototype.big()\nrequire('./_string-html')('big', function (createHTML) {\n  return function big() {\n    return createHTML(this, 'big', '', '');\n  };\n});\n","'use strict';\n// B.2.3.2 String.prototype.anchor(name)\nrequire('./_string-html')('anchor', function (createHTML) {\n  return function anchor(name) {\n    return createHTML(this, 'a', 'name', name);\n  };\n});\n","// 21.1.3.18 String.prototype.startsWith(searchString [, position ])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar STARTS_WITH = 'startsWith';\nvar $startsWith = ''[STARTS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(STARTS_WITH), 'String', {\n  startsWith: function startsWith(searchString /* , position = 0 */) {\n    var that = context(this, searchString, STARTS_WITH);\n    var index = toLength(Math.min(arguments.length > 1 ? arguments[1] : undefined, that.length));\n    var search = String(searchString);\n    return $startsWith\n      ? $startsWith.call(that, search, index)\n      : that.slice(index, index + search.length) === search;\n  }\n});\n","var $export = require('./_export');\n\n$export($export.P, 'String', {\n  // 21.1.3.13 String.prototype.repeat(count)\n  repeat: require('./_string-repeat')\n});\n","// 21.1.3.7 String.prototype.includes(searchString, position = 0)\n'use strict';\nvar $export = require('./_export');\nvar context = require('./_string-context');\nvar INCLUDES = 'includes';\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(INCLUDES), 'String', {\n  includes: function includes(searchString /* , position = 0 */) {\n    return !!~context(this, searchString, INCLUDES)\n      .indexOf(searchString, arguments.length > 1 ? arguments[1] : undefined);\n  }\n});\n","// 21.1.3.6 String.prototype.endsWith(searchString [, endPosition])\n'use strict';\nvar $export = require('./_export');\nvar toLength = require('./_to-length');\nvar context = require('./_string-context');\nvar ENDS_WITH = 'endsWith';\nvar $endsWith = ''[ENDS_WITH];\n\n$export($export.P + $export.F * require('./_fails-is-regexp')(ENDS_WITH), 'String', {\n  endsWith: function endsWith(searchString /* , endPosition = @length */) {\n    var that = context(this, searchString, ENDS_WITH);\n    var endPosition = arguments.length > 1 ? arguments[1] : undefined;\n    var len = toLength(that.length);\n    var end = endPosition === undefined ? len : Math.min(toLength(endPosition), len);\n    var search = String(searchString);\n    return $endsWith\n      ? $endsWith.call(that, search, end)\n      : that.slice(end - search.length, end) === search;\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar $at = require('./_string-at')(false);\n$export($export.P, 'String', {\n  // 21.1.3.3 String.prototype.codePointAt(pos)\n  codePointAt: function codePointAt(pos) {\n    return $at(this, pos);\n  }\n});\n","'use strict';\nvar $at = require('./_string-at')(true);\n\n// 21.1.3.27 String.prototype[@@iterator]()\nrequire('./_iter-define')(String, 'String', function (iterated) {\n  this._t = String(iterated); // target\n  this._i = 0;                // next index\n// 21.1.5.2.1 %StringIteratorPrototype%.next()\n}, function () {\n  var O = this._t;\n  var index = this._i;\n  var point;\n  if (index >= O.length) return { value: undefined, done: true };\n  point = $at(O, index);\n  this._i += point.length;\n  return { value: point, done: false };\n});\n","'use strict';\n// 21.1.3.25 String.prototype.trim()\nrequire('./_string-trim')('trim', function ($trim) {\n  return function trim() {\n    return $trim(this, 3);\n  };\n});\n","var $export = require('./_export');\nvar toIObject = require('./_to-iobject');\nvar toLength = require('./_to-length');\n\n$export($export.S, 'String', {\n  // 21.1.2.4 String.raw(callSite, ...substitutions)\n  raw: function raw(callSite) {\n    var tpl = toIObject(callSite.raw);\n    var len = toLength(tpl.length);\n    var aLen = arguments.length;\n    var res = [];\n    var i = 0;\n    while (len > i) {\n      res.push(String(tpl[i++]));\n      if (i < aLen) res.push(String(arguments[i]));\n    } return res.join('');\n  }\n});\n","var $export = require('./_export');\nvar toAbsoluteIndex = require('./_to-absolute-index');\nvar fromCharCode = String.fromCharCode;\nvar $fromCodePoint = String.fromCodePoint;\n\n// length should be 1, old FF problem\n$export($export.S + $export.F * (!!$fromCodePoint && $fromCodePoint.length != 1), 'String', {\n  // 21.1.2.2 String.fromCodePoint(...codePoints)\n  fromCodePoint: function fromCodePoint(x) { // eslint-disable-line no-unused-vars\n    var res = [];\n    var aLen = arguments.length;\n    var i = 0;\n    var code;\n    while (aLen > i) {\n      code = +arguments[i++];\n      if (toAbsoluteIndex(code, 0x10ffff) !== code) throw RangeError(code + ' is not a valid code point');\n      res.push(code < 0x10000\n        ? fromCharCode(code)\n        : fromCharCode(((code -= 0x10000) >> 10) + 0xd800, code % 0x400 + 0xdc00)\n      );\n    } return res.join('');\n  }\n});\n","// 20.2.2.34 Math.trunc(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  trunc: function trunc(it) {\n    return (it > 0 ? Math.floor : Math.ceil)(it);\n  }\n});\n","// 20.2.2.33 Math.tanh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  tanh: function tanh(x) {\n    var a = expm1(x = +x);\n    var b = expm1(-x);\n    return a == Infinity ? 1 : b == Infinity ? -1 : (a - b) / (exp(x) + exp(-x));\n  }\n});\n","// 20.2.2.30 Math.sinh(x)\nvar $export = require('./_export');\nvar expm1 = require('./_math-expm1');\nvar exp = Math.exp;\n\n// V8 near Chromium 38 has a problem with very small numbers\n$export($export.S + $export.F * require('./_fails')(function () {\n  return !Math.sinh(-2e-17) != -2e-17;\n}), 'Math', {\n  sinh: function sinh(x) {\n    return Math.abs(x = +x) < 1\n      ? (expm1(x) - expm1(-x)) / 2\n      : (exp(x - 1) - exp(-x - 1)) * (Math.E / 2);\n  }\n});\n","// 20.2.2.28 Math.sign(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { sign: require('./_math-sign') });\n","// 20.2.2.22 Math.log2(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log2: function log2(x) {\n    return Math.log(x) / Math.LN2;\n  }\n});\n","// 20.2.2.20 Math.log1p(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { log1p: require('./_math-log1p') });\n","// 20.2.2.21 Math.log10(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  log10: function log10(x) {\n    return Math.log(x) * Math.LOG10E;\n  }\n});\n","// 20.2.2.18 Math.imul(x, y)\nvar $export = require('./_export');\nvar $imul = Math.imul;\n\n// some WebKit versions fails with big numbers, some has wrong arity\n$export($export.S + $export.F * require('./_fails')(function () {\n  return $imul(0xffffffff, 5) != -5 || $imul.length != 2;\n}), 'Math', {\n  imul: function imul(x, y) {\n    var UINT16 = 0xffff;\n    var xn = +x;\n    var yn = +y;\n    var xl = UINT16 & xn;\n    var yl = UINT16 & yn;\n    return 0 | xl * yl + ((UINT16 & xn >>> 16) * yl + xl * (UINT16 & yn >>> 16) << 16 >>> 0);\n  }\n});\n","// 20.2.2.17 Math.hypot([value1[, value2[, … ]]])\nvar $export = require('./_export');\nvar abs = Math.abs;\n\n$export($export.S, 'Math', {\n  hypot: function hypot(value1, value2) { // eslint-disable-line no-unused-vars\n    var sum = 0;\n    var i = 0;\n    var aLen = arguments.length;\n    var larg = 0;\n    var arg, div;\n    while (i < aLen) {\n      arg = abs(arguments[i++]);\n      if (larg < arg) {\n        div = larg / arg;\n        sum = sum * div * div + 1;\n        larg = arg;\n      } else if (arg > 0) {\n        div = arg / larg;\n        sum += div * div;\n      } else sum += arg;\n    }\n    return larg === Infinity ? Infinity : larg * Math.sqrt(sum);\n  }\n});\n","// 20.2.2.16 Math.fround(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', { fround: require('./_math-fround') });\n","// 20.2.2.14 Math.expm1(x)\nvar $export = require('./_export');\nvar $expm1 = require('./_math-expm1');\n\n$export($export.S + $export.F * ($expm1 != Math.expm1), 'Math', { expm1: $expm1 });\n","// 20.2.2.12 Math.cosh(x)\nvar $export = require('./_export');\nvar exp = Math.exp;\n\n$export($export.S, 'Math', {\n  cosh: function cosh(x) {\n    return (exp(x = +x) + exp(-x)) / 2;\n  }\n});\n","// 20.2.2.11 Math.clz32(x)\nvar $export = require('./_export');\n\n$export($export.S, 'Math', {\n  clz32: function clz32(x) {\n    return (x >>>= 0) ? 31 - Math.floor(Math.log(x + 0.5) * Math.LOG2E) : 32;\n  }\n});\n","// 20.2.2.9 Math.cbrt(x)\nvar $export = require('./_export');\nvar sign = require('./_math-sign');\n\n$export($export.S, 'Math', {\n  cbrt: function cbrt(x) {\n    return sign(x = +x) * Math.pow(Math.abs(x), 1 / 3);\n  }\n});\n","// 20.2.2.7 Math.atanh(x)\nvar $export = require('./_export');\nvar $atanh = Math.atanh;\n\n// Tor Browser bug: Math.atanh(-0) -> 0\n$export($export.S + $export.F * !($atanh && 1 / $atanh(-0) < 0), 'Math', {\n  atanh: function atanh(x) {\n    return (x = +x) == 0 ? x : Math.log((1 + x) / (1 - x)) / 2;\n  }\n});\n","// 20.2.2.5 Math.asinh(x)\nvar $export = require('./_export');\nvar $asinh = Math.asinh;\n\nfunction asinh(x) {\n  return !isFinite(x = +x) || x == 0 ? x : x < 0 ? -asinh(-x) : Math.log(x + Math.sqrt(x * x + 1));\n}\n\n// Tor Browser bug: Math.asinh(0) -> -0\n$export($export.S + $export.F * !($asinh && 1 / $asinh(0) > 0), 'Math', { asinh: asinh });\n","// 20.2.2.3 Math.acosh(x)\nvar $export = require('./_export');\nvar log1p = require('./_math-log1p');\nvar sqrt = Math.sqrt;\nvar $acosh = Math.acosh;\n\n$export($export.S + $export.F * !($acosh\n  // V8 bug: https://code.google.com/p/v8/issues/detail?id=3509\n  && Math.floor($acosh(Number.MAX_VALUE)) == 710\n  // Tor Browser bug: Math.acosh(Infinity) -> NaN\n  && $acosh(Infinity) == Infinity\n), 'Math', {\n  acosh: function acosh(x) {\n    return (x = +x) < 1 ? NaN : x > 94906265.62425156\n      ? Math.log(x) + Math.LN2\n      : log1p(x - 1 + sqrt(x - 1) * sqrt(x + 1));\n  }\n});\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 20.1.2.13 Number.parseInt(string, radix)\n$export($export.S + $export.F * (Number.parseInt != $parseInt), 'Number', { parseInt: $parseInt });\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 20.1.2.12 Number.parseFloat(string)\n$export($export.S + $export.F * (Number.parseFloat != $parseFloat), 'Number', { parseFloat: $parseFloat });\n","// 20.1.2.10 Number.MIN_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MIN_SAFE_INTEGER: -0x1fffffffffffff });\n","// 20.1.2.6 Number.MAX_SAFE_INTEGER\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { MAX_SAFE_INTEGER: 0x1fffffffffffff });\n","// 20.1.2.5 Number.isSafeInteger(number)\nvar $export = require('./_export');\nvar isInteger = require('./_is-integer');\nvar abs = Math.abs;\n\n$export($export.S, 'Number', {\n  isSafeInteger: function isSafeInteger(number) {\n    return isInteger(number) && abs(number) <= 0x1fffffffffffff;\n  }\n});\n","// 20.1.2.4 Number.isNaN(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', {\n  isNaN: function isNaN(number) {\n    // eslint-disable-next-line no-self-compare\n    return number != number;\n  }\n});\n","// 20.1.2.3 Number.isInteger(number)\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { isInteger: require('./_is-integer') });\n","// 20.1.2.2 Number.isFinite(number)\nvar $export = require('./_export');\nvar _isFinite = require('./_global').isFinite;\n\n$export($export.S, 'Number', {\n  isFinite: function isFinite(it) {\n    return typeof it == 'number' && _isFinite(it);\n  }\n});\n","// 20.1.2.1 Number.EPSILON\nvar $export = require('./_export');\n\n$export($export.S, 'Number', { EPSILON: Math.pow(2, -52) });\n","'use strict';\nvar $export = require('./_export');\nvar $fails = require('./_fails');\nvar aNumberValue = require('./_a-number-value');\nvar $toPrecision = 1.0.toPrecision;\n\n$export($export.P + $export.F * ($fails(function () {\n  // IE7-\n  return $toPrecision.call(1, undefined) !== '1';\n}) || !$fails(function () {\n  // V8 ~ Android 4.3-\n  $toPrecision.call({});\n})), 'Number', {\n  toPrecision: function toPrecision(precision) {\n    var that = aNumberValue(this, 'Number#toPrecision: incorrect invocation!');\n    return precision === undefined ? $toPrecision.call(that) : $toPrecision.call(that, precision);\n  }\n});\n","'use strict';\nvar $export = require('./_export');\nvar toInteger = require('./_to-integer');\nvar aNumberValue = require('./_a-number-value');\nvar repeat = require('./_string-repeat');\nvar $toFixed = 1.0.toFixed;\nvar floor = Math.floor;\nvar data = [0, 0, 0, 0, 0, 0];\nvar ERROR = 'Number.toFixed: incorrect invocation!';\nvar ZERO = '0';\n\nvar multiply = function (n, c) {\n  var i = -1;\n  var c2 = c;\n  while (++i < 6) {\n    c2 += n * data[i];\n    data[i] = c2 % 1e7;\n    c2 = floor(c2 / 1e7);\n  }\n};\nvar divide = function (n) {\n  var i = 6;\n  var c = 0;\n  while (--i >= 0) {\n    c += data[i];\n    data[i] = floor(c / n);\n    c = (c % n) * 1e7;\n  }\n};\nvar numToString = function () {\n  var i = 6;\n  var s = '';\n  while (--i >= 0) {\n    if (s !== '' || i === 0 || data[i] !== 0) {\n      var t = String(data[i]);\n      s = s === '' ? t : s + repeat.call(ZERO, 7 - t.length) + t;\n    }\n  } return s;\n};\nvar pow = function (x, n, acc) {\n  return n === 0 ? acc : n % 2 === 1 ? pow(x, n - 1, acc * x) : pow(x * x, n / 2, acc);\n};\nvar log = function (x) {\n  var n = 0;\n  var x2 = x;\n  while (x2 >= 4096) {\n    n += 12;\n    x2 /= 4096;\n  }\n  while (x2 >= 2) {\n    n += 1;\n    x2 /= 2;\n  } return n;\n};\n\n$export($export.P + $export.F * (!!$toFixed && (\n  0.00008.toFixed(3) !== '0.000' ||\n  0.9.toFixed(0) !== '1' ||\n  1.255.toFixed(2) !== '1.25' ||\n  1000000000000000128.0.toFixed(0) !== '1000000000000000128'\n) || !require('./_fails')(function () {\n  // V8 ~ Android 4.3-\n  $toFixed.call({});\n})), 'Number', {\n  toFixed: function toFixed(fractionDigits) {\n    var x = aNumberValue(this, ERROR);\n    var f = toInteger(fractionDigits);\n    var s = '';\n    var m = ZERO;\n    var e, z, j, k;\n    if (f < 0 || f > 20) throw RangeError(ERROR);\n    // eslint-disable-next-line no-self-compare\n    if (x != x) return 'NaN';\n    if (x <= -1e21 || x >= 1e21) return String(x);\n    if (x < 0) {\n      s = '-';\n      x = -x;\n    }\n    if (x > 1e-21) {\n      e = log(x * pow(2, 69, 1)) - 69;\n      z = e < 0 ? x * pow(2, -e, 1) : x / pow(2, e, 1);\n      z *= 0x10000000000000;\n      e = 52 - e;\n      if (e > 0) {\n        multiply(0, z);\n        j = f;\n        while (j >= 7) {\n          multiply(1e7, 0);\n          j -= 7;\n        }\n        multiply(pow(10, j, 1), 0);\n        j = e - 1;\n        while (j >= 23) {\n          divide(1 << 23);\n          j -= 23;\n        }\n        divide(1 << j);\n        multiply(1, 1);\n        divide(2);\n        m = numToString();\n      } else {\n        multiply(0, z);\n        multiply(1 << -e, 0);\n        m = numToString() + repeat.call(ZERO, f);\n      }\n    }\n    if (f > 0) {\n      k = m.length;\n      m = s + (k <= f ? '0.' + repeat.call(ZERO, f - k) + m : m.slice(0, k - f) + '.' + m.slice(k - f));\n    } else {\n      m = s + m;\n    } return m;\n  }\n});\n","'use strict';\nvar global = require('./_global');\nvar has = require('./_has');\nvar cof = require('./_cof');\nvar inheritIfRequired = require('./_inherit-if-required');\nvar toPrimitive = require('./_to-primitive');\nvar fails = require('./_fails');\nvar gOPN = require('./_object-gopn').f;\nvar gOPD = require('./_object-gopd').f;\nvar dP = require('./_object-dp').f;\nvar $trim = require('./_string-trim').trim;\nvar NUMBER = 'Number';\nvar $Number = global[NUMBER];\nvar Base = $Number;\nvar proto = $Number.prototype;\n// Opera ~12 has broken Object#toString\nvar BROKEN_COF = cof(require('./_object-create')(proto)) == NUMBER;\nvar TRIM = 'trim' in String.prototype;\n\n// 7.1.3 ToNumber(argument)\nvar toNumber = function (argument) {\n  var it = toPrimitive(argument, false);\n  if (typeof it == 'string' && it.length > 2) {\n    it = TRIM ? it.trim() : $trim(it, 3);\n    var first = it.charCodeAt(0);\n    var third, radix, maxCode;\n    if (first === 43 || first === 45) {\n      third = it.charCodeAt(2);\n      if (third === 88 || third === 120) return NaN; // Number('+0x1') should be NaN, old V8 fix\n    } else if (first === 48) {\n      switch (it.charCodeAt(1)) {\n        case 66: case 98: radix = 2; maxCode = 49; break; // fast equal /^0b[01]+$/i\n        case 79: case 111: radix = 8; maxCode = 55; break; // fast equal /^0o[0-7]+$/i\n        default: return +it;\n      }\n      for (var digits = it.slice(2), i = 0, l = digits.length, code; i < l; i++) {\n        code = digits.charCodeAt(i);\n        // parseInt parses a string to a first unavailable symbol\n        // but ToNumber should return NaN if a string contains unavailable symbols\n        if (code < 48 || code > maxCode) return NaN;\n      } return parseInt(digits, radix);\n    }\n  } return +it;\n};\n\nif (!$Number(' 0o1') || !$Number('0b1') || $Number('+0x1')) {\n  $Number = function Number(value) {\n    var it = arguments.length < 1 ? 0 : value;\n    var that = this;\n    return that instanceof $Number\n      // check on 1..constructor(foo) case\n      && (BROKEN_COF ? fails(function () { proto.valueOf.call(that); }) : cof(that) != NUMBER)\n        ? inheritIfRequired(new Base(toNumber(it)), that, $Number) : toNumber(it);\n  };\n  for (var keys = require('./_descriptors') ? gOPN(Base) : (\n    // ES3:\n    'MAX_VALUE,MIN_VALUE,NaN,NEGATIVE_INFINITY,POSITIVE_INFINITY,' +\n    // ES6 (in case, if modules with ES6 Number statics required before):\n    'EPSILON,isFinite,isInteger,isNaN,isSafeInteger,MAX_SAFE_INTEGER,' +\n    'MIN_SAFE_INTEGER,parseFloat,parseInt,isInteger'\n  ).split(','), j = 0, key; keys.length > j; j++) {\n    if (has(Base, key = keys[j]) && !has($Number, key)) {\n      dP($Number, key, gOPD(Base, key));\n    }\n  }\n  $Number.prototype = proto;\n  proto.constructor = $Number;\n  require('./_redefine')(global, NUMBER, $Number);\n}\n","var $export = require('./_export');\nvar $parseFloat = require('./_parse-float');\n// 18.2.4 parseFloat(string)\n$export($export.G + $export.F * (parseFloat != $parseFloat), { parseFloat: $parseFloat });\n","var $export = require('./_export');\nvar $parseInt = require('./_parse-int');\n// 18.2.5 parseInt(string, radix)\n$export($export.G + $export.F * (parseInt != $parseInt), { parseInt: $parseInt });\n","'use strict';\nvar isObject = require('./_is-object');\nvar getPrototypeOf = require('./_object-gpo');\nvar HAS_INSTANCE = require('./_wks')('hasInstance');\nvar FunctionProto = Function.prototype;\n// 19.2.3.6 Function.prototype[@@hasInstance](V)\nif (!(HAS_INSTANCE in FunctionProto)) require('./_object-dp').f(FunctionProto, HAS_INSTANCE, { value: function (O) {\n  if (typeof this != 'function' || !isObject(O)) return false;\n  if (!isObject(this.prototype)) return O instanceof this;\n  // for environment w/o native `@@hasInstance` logic enough `instanceof`, but add this:\n  while (O = getPrototypeOf(O)) if (this.prototype === O) return true;\n  return false;\n} });\n","var dP = require('./_object-dp').f;\nvar FProto = Function.prototype;\nvar nameRE = /^\\s*function ([^ (]*)/;\nvar NAME = 'name';\n\n// 19.2.4.2 name\nNAME in FProto || require('./_descriptors') && dP(FProto, NAME, {\n  configurable: true,\n  get: function () {\n    try {\n      return ('' + this).match(nameRE)[1];\n    } catch (e) {\n      return '';\n    }\n  }\n});\n","// 19.2.3.2 / 15.3.4.5 Function.prototype.bind(thisArg, args...)\nvar $export = require('./_export');\n\n$export($export.P, 'Function', { bind: require('./_bind') });\n","'use strict';\n// 19.1.3.6 Object.prototype.toString()\nvar classof = require('./_classof');\nvar test = {};\ntest[require('./_wks')('toStringTag')] = 'z';\nif (test + '' != '[object z]') {\n  require('./_redefine')(Object.prototype, 'toString', function toString() {\n    return '[object ' + classof(this) + ']';\n  }, true);\n}\n","// 19.1.3.19 Object.setPrototypeOf(O, proto)\nvar $export = require('./_export');\n$export($export.S, 'Object', { setPrototypeOf: require('./_set-proto').set });\n","// 19.1.3.10 Object.is(value1, value2)\nvar $export = require('./_export');\n$export($export.S, 'Object', { is: require('./_same-value') });\n","// 19.1.3.1 Object.assign(target, source)\nvar $export = require('./_export');\n\n$export($export.S + $export.F, 'Object', { assign: require('./_object-assign') });\n","// 19.1.2.11 Object.isExtensible(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isExtensible', function ($isExtensible) {\n  return function isExtensible(it) {\n    return isObject(it) ? $isExtensible ? $isExtensible(it) : true : false;\n  };\n});\n","// 19.1.2.13 Object.isSealed(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isSealed', function ($isSealed) {\n  return function isSealed(it) {\n    return isObject(it) ? $isSealed ? $isSealed(it) : false : true;\n  };\n});\n","// 19.1.2.12 Object.isFrozen(O)\nvar isObject = require('./_is-object');\n\nrequire('./_object-sap')('isFrozen', function ($isFrozen) {\n  return function isFrozen(it) {\n    return isObject(it) ? $isFrozen ? $isFrozen(it) : false : true;\n  };\n});\n","// 19.1.2.15 Object.preventExtensions(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('preventExtensions', function ($preventExtensions) {\n  return function preventExtensions(it) {\n    return $preventExtensions && isObject(it) ? $preventExtensions(meta(it)) : it;\n  };\n});\n","// 19.1.2.17 Object.seal(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('seal', function ($seal) {\n  return function seal(it) {\n    return $seal && isObject(it) ? $seal(meta(it)) : it;\n  };\n});\n","// 19.1.2.5 Object.freeze(O)\nvar isObject = require('./_is-object');\nvar meta = require('./_meta').onFreeze;\n\nrequire('./_object-sap')('freeze', function ($freeze) {\n  return function freeze(it) {\n    return $freeze && isObject(it) ? $freeze(meta(it)) : it;\n  };\n});\n","// 19.1.2.7 Object.getOwnPropertyNames(O)\nrequire('./_object-sap')('getOwnPropertyNames', function () {\n  return require('./_object-gopn-ext').f;\n});\n","// 19.1.2.14 Object.keys(O)\nvar toObject = require('./_to-object');\nvar $keys = require('./_object-keys');\n\nrequire('./_object-sap')('keys', function () {\n  return function keys(it) {\n    return $keys(toObject(it));\n  };\n});\n","// 19.1.2.9 Object.getPrototypeOf(O)\nvar toObject = require('./_to-object');\nvar $getPrototypeOf = require('./_object-gpo');\n\nrequire('./_object-sap')('getPrototypeOf', function () {\n  return function getPrototypeOf(it) {\n    return $getPrototypeOf(toObject(it));\n  };\n});\n","// 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\nvar toIObject = require('./_to-iobject');\nvar $getOwnPropertyDescriptor = require('./_object-gopd').f;\n\nrequire('./_object-sap')('getOwnPropertyDescriptor', function () {\n  return function getOwnPropertyDescriptor(it, key) {\n    return $getOwnPropertyDescriptor(toIObject(it), key);\n  };\n});\n","var $export = require('./_export');\n// 19.1.2.3 / 15.2.3.7 Object.defineProperties(O, Properties)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperties: require('./_object-dps') });\n","var $export = require('./_export');\n// 19.1.2.4 / 15.2.3.6 Object.defineProperty(O, P, Attributes)\n$export($export.S + $export.F * !require('./_descriptors'), 'Object', { defineProperty: require('./_object-dp').f });\n","var $export = require('./_export');\n// 19.1.2.2 / 15.2.3.5 Object.create(O [, Properties])\n$export($export.S, 'Object', { create: require('./_object-create') });\n","// all enumerable object keys, includes symbols\nvar getKeys = require('./_object-keys');\nvar gOPS = require('./_object-gops');\nvar pIE = require('./_object-pie');\nmodule.exports = function (it) {\n  var result = getKeys(it);\n  var getSymbols = gOPS.f;\n  if (getSymbols) {\n    var symbols = getSymbols(it);\n    var isEnum = pIE.f;\n    var i = 0;\n    var key;\n    while (symbols.length > i) if (isEnum.call(it, key = symbols[i++])) result.push(key);\n  } return result;\n};\n","'use strict';\n// ECMAScript 6 symbols shim\nvar global = require('./_global');\nvar has = require('./_has');\nvar DESCRIPTORS = require('./_descriptors');\nvar $export = require('./_export');\nvar redefine = require('./_redefine');\nvar META = require('./_meta').KEY;\nvar $fails = require('./_fails');\nvar shared = require('./_shared');\nvar setToStringTag = require('./_set-to-string-tag');\nvar uid = require('./_uid');\nvar wks = require('./_wks');\nvar wksExt = require('./_wks-ext');\nvar wksDefine = require('./_wks-define');\nvar enumKeys = require('./_enum-keys');\nvar isArray = require('./_is-array');\nvar anObject = require('./_an-object');\nvar isObject = require('./_is-object');\nvar toIObject = require('./_to-iobject');\nvar toPrimitive = require('./_to-primitive');\nvar createDesc = require('./_property-desc');\nvar _create = require('./_object-create');\nvar gOPNExt = require('./_object-gopn-ext');\nvar $GOPD = require('./_object-gopd');\nvar $DP = require('./_object-dp');\nvar $keys = require('./_object-keys');\nvar gOPD = $GOPD.f;\nvar dP = $DP.f;\nvar gOPN = gOPNExt.f;\nvar $Symbol = global.Symbol;\nvar $JSON = global.JSON;\nvar _stringify = $JSON && $JSON.stringify;\nvar PROTOTYPE = 'prototype';\nvar HIDDEN = wks('_hidden');\nvar TO_PRIMITIVE = wks('toPrimitive');\nvar isEnum = {}.propertyIsEnumerable;\nvar SymbolRegistry = shared('symbol-registry');\nvar AllSymbols = shared('symbols');\nvar OPSymbols = shared('op-symbols');\nvar ObjectProto = Object[PROTOTYPE];\nvar USE_NATIVE = typeof $Symbol == 'function';\nvar QObject = global.QObject;\n// Don't use setters in Qt Script, https://github.com/zloirock/core-js/issues/173\nvar setter = !QObject || !QObject[PROTOTYPE] || !QObject[PROTOTYPE].findChild;\n\n// fallback for old Android, https://code.google.com/p/v8/issues/detail?id=687\nvar setSymbolDesc = DESCRIPTORS && $fails(function () {\n  return _create(dP({}, 'a', {\n    get: function () { return dP(this, 'a', { value: 7 }).a; }\n  })).a != 7;\n}) ? function (it, key, D) {\n  var protoDesc = gOPD(ObjectProto, key);\n  if (protoDesc) delete ObjectProto[key];\n  dP(it, key, D);\n  if (protoDesc && it !== ObjectProto) dP(ObjectProto, key, protoDesc);\n} : dP;\n\nvar wrap = function (tag) {\n  var sym = AllSymbols[tag] = _create($Symbol[PROTOTYPE]);\n  sym._k = tag;\n  return sym;\n};\n\nvar isSymbol = USE_NATIVE && typeof $Symbol.iterator == 'symbol' ? function (it) {\n  return typeof it == 'symbol';\n} : function (it) {\n  return it instanceof $Symbol;\n};\n\nvar $defineProperty = function defineProperty(it, key, D) {\n  if (it === ObjectProto) $defineProperty(OPSymbols, key, D);\n  anObject(it);\n  key = toPrimitive(key, true);\n  anObject(D);\n  if (has(AllSymbols, key)) {\n    if (!D.enumerable) {\n      if (!has(it, HIDDEN)) dP(it, HIDDEN, createDesc(1, {}));\n      it[HIDDEN][key] = true;\n    } else {\n      if (has(it, HIDDEN) && it[HIDDEN][key]) it[HIDDEN][key] = false;\n      D = _create(D, { enumerable: createDesc(0, false) });\n    } return setSymbolDesc(it, key, D);\n  } return dP(it, key, D);\n};\nvar $defineProperties = function defineProperties(it, P) {\n  anObject(it);\n  var keys = enumKeys(P = toIObject(P));\n  var i = 0;\n  var l = keys.length;\n  var key;\n  while (l > i) $defineProperty(it, key = keys[i++], P[key]);\n  return it;\n};\nvar $create = function create(it, P) {\n  return P === undefined ? _create(it) : $defineProperties(_create(it), P);\n};\nvar $propertyIsEnumerable = function propertyIsEnumerable(key) {\n  var E = isEnum.call(this, key = toPrimitive(key, true));\n  if (this === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return false;\n  return E || !has(this, key) || !has(AllSymbols, key) || has(this, HIDDEN) && this[HIDDEN][key] ? E : true;\n};\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(it, key) {\n  it = toIObject(it);\n  key = toPrimitive(key, true);\n  if (it === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return;\n  var D = gOPD(it, key);\n  if (D && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) D.enumerable = true;\n  return D;\n};\nvar $getOwnPropertyNames = function getOwnPropertyNames(it) {\n  var names = gOPN(toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (!has(AllSymbols, key = names[i++]) && key != HIDDEN && key != META) result.push(key);\n  } return result;\n};\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(it) {\n  var IS_OP = it === ObjectProto;\n  var names = gOPN(IS_OP ? OPSymbols : toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (has(AllSymbols, key = names[i++]) && (IS_OP ? has(ObjectProto, key) : true)) result.push(AllSymbols[key]);\n  } return result;\n};\n\n// 19.4.1.1 Symbol([description])\nif (!USE_NATIVE) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor!');\n    var tag = uid(arguments.length > 0 ? arguments[0] : undefined);\n    var $set = function (value) {\n      if (this === ObjectProto) $set.call(OPSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDesc(this, tag, createDesc(1, value));\n    };\n    if (DESCRIPTORS && setter) setSymbolDesc(ObjectProto, tag, { configurable: true, set: $set });\n    return wrap(tag);\n  };\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return this._k;\n  });\n\n  $GOPD.f = $getOwnPropertyDescriptor;\n  $DP.f = $defineProperty;\n  require('./_object-gopn').f = gOPNExt.f = $getOwnPropertyNames;\n  require('./_object-pie').f = $propertyIsEnumerable;\n  require('./_object-gops').f = $getOwnPropertySymbols;\n\n  if (DESCRIPTORS && !require('./_library')) {\n    redefine(ObjectProto, 'propertyIsEnumerable', $propertyIsEnumerable, true);\n  }\n\n  wksExt.f = function (name) {\n    return wrap(wks(name));\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Symbol: $Symbol });\n\nfor (var es6Symbols = (\n  // 19.4.2.2, 19.4.2.3, 19.4.2.4, 19.4.2.6, 19.4.2.8, 19.4.2.9, 19.4.2.10, 19.4.2.11, 19.4.2.12, 19.4.2.13, 19.4.2.14\n  'hasInstance,isConcatSpreadable,iterator,match,replace,search,species,split,toPrimitive,toStringTag,unscopables'\n).split(','), j = 0; es6Symbols.length > j;)wks(es6Symbols[j++]);\n\nfor (var wellKnownSymbols = $keys(wks.store), k = 0; wellKnownSymbols.length > k;) wksDefine(wellKnownSymbols[k++]);\n\n$export($export.S + $export.F * !USE_NATIVE, 'Symbol', {\n  // 19.4.2.1 Symbol.for(key)\n  'for': function (key) {\n    return has(SymbolRegistry, key += '')\n      ? SymbolRegistry[key]\n      : SymbolRegistry[key] = $Symbol(key);\n  },\n  // 19.4.2.5 Symbol.keyFor(sym)\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol!');\n    for (var key in SymbolRegistry) if (SymbolRegistry[key] === sym) return key;\n  },\n  useSetter: function () { setter = true; },\n  useSimple: function () { setter = false; }\n});\n\n$export($export.S + $export.F * !USE_NATIVE, 'Object', {\n  // 19.1.2.2 Object.create(O [, Properties])\n  create: $create,\n  // 19.1.2.4 Object.defineProperty(O, P, Attributes)\n  defineProperty: $defineProperty,\n  // 19.1.2.3 Object.defineProperties(O, Properties)\n  defineProperties: $defineProperties,\n  // 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor,\n  // 19.1.2.7 Object.getOwnPropertyNames(O)\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // 19.1.2.8 Object.getOwnPropertySymbols(O)\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// 24.3.2 JSON.stringify(value [, replacer [, space]])\n$JSON && $export($export.S + $export.F * (!USE_NATIVE || $fails(function () {\n  var S = $Symbol();\n  // MS Edge converts symbol values to JSON as {}\n  // WebKit converts symbol values to JSON as null\n  // V8 throws on boxed symbols\n  return _stringify([S]) != '[null]' || _stringify({ a: S }) != '{}' || _stringify(Object(S)) != '{}';\n})), 'JSON', {\n  stringify: function stringify(it) {\n    var args = [it];\n    var i = 1;\n    var replacer, $replacer;\n    while (arguments.length > i) args.push(arguments[i++]);\n    $replacer = replacer = args[1];\n    if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n    if (!isArray(replacer)) replacer = function (key, value) {\n      if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n      if (!isSymbol(value)) return value;\n    };\n    args[1] = replacer;\n    return _stringify.apply($JSON, args);\n  }\n});\n\n// 19.4.3.4 Symbol.prototype[@@toPrimitive](hint)\n$Symbol[PROTOTYPE][TO_PRIMITIVE] || require('./_hide')($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n// 19.4.3.5 Symbol.prototype[@@toStringTag]\nsetToStringTag($Symbol, 'Symbol');\n// 20.2.1.9 Math[@@toStringTag]\nsetToStringTag(Math, 'Math', true);\n// 24.3.3 JSON[@@toStringTag]\nsetToStringTag(global.JSON, 'JSON', true);\n","require('./modules/es6.symbol');\nrequire('./modules/es6.object.create');\nrequire('./modules/es6.object.define-property');\nrequire('./modules/es6.object.define-properties');\nrequire('./modules/es6.object.get-own-property-descriptor');\nrequire('./modules/es6.object.get-prototype-of');\nrequire('./modules/es6.object.keys');\nrequire('./modules/es6.object.get-own-property-names');\nrequire('./modules/es6.object.freeze');\nrequire('./modules/es6.object.seal');\nrequire('./modules/es6.object.prevent-extensions');\nrequire('./modules/es6.object.is-frozen');\nrequire('./modules/es6.object.is-sealed');\nrequire('./modules/es6.object.is-extensible');\nrequire('./modules/es6.object.assign');\nrequire('./modules/es6.object.is');\nrequire('./modules/es6.object.set-prototype-of');\nrequire('./modules/es6.object.to-string');\nrequire('./modules/es6.function.bind');\nrequire('./modules/es6.function.name');\nrequire('./modules/es6.function.has-instance');\nrequire('./modules/es6.parse-int');\nrequire('./modules/es6.parse-float');\nrequire('./modules/es6.number.constructor');\nrequire('./modules/es6.number.to-fixed');\nrequire('./modules/es6.number.to-precision');\nrequire('./modules/es6.number.epsilon');\nrequire('./modules/es6.number.is-finite');\nrequire('./modules/es6.number.is-integer');\nrequire('./modules/es6.number.is-nan');\nrequire('./modules/es6.number.is-safe-integer');\nrequire('./modules/es6.number.max-safe-integer');\nrequire('./modules/es6.number.min-safe-integer');\nrequire('./modules/es6.number.parse-float');\nrequire('./modules/es6.number.parse-int');\nrequire('./modules/es6.math.acosh');\nrequire('./modules/es6.math.asinh');\nrequire('./modules/es6.math.atanh');\nrequire('./modules/es6.math.cbrt');\nrequire('./modules/es6.math.clz32');\nrequire('./modules/es6.math.cosh');\nrequire('./modules/es6.math.expm1');\nrequire('./modules/es6.math.fround');\nrequire('./modules/es6.math.hypot');\nrequire('./modules/es6.math.imul');\nrequire('./modules/es6.math.log10');\nrequire('./modules/es6.math.log1p');\nrequire('./modules/es6.math.log2');\nrequire('./modules/es6.math.sign');\nrequire('./modules/es6.math.sinh');\nrequire('./modules/es6.math.tanh');\nrequire('./modules/es6.math.trunc');\nrequire('./modules/es6.string.from-code-point');\nrequire('./modules/es6.string.raw');\nrequire('./modules/es6.string.trim');\nrequire('./modules/es6.string.iterator');\nrequire('./modules/es6.string.code-point-at');\nrequire('./modules/es6.string.ends-with');\nrequire('./modules/es6.string.includes');\nrequire('./modules/es6.string.repeat');\nrequire('./modules/es6.string.starts-with');\nrequire('./modules/es6.string.anchor');\nrequire('./modules/es6.string.big');\nrequire('./modules/es6.string.blink');\nrequire('./modules/es6.string.bold');\nrequire('./modules/es6.string.fixed');\nrequire('./modules/es6.string.fontcolor');\nrequire('./modules/es6.string.fontsize');\nrequire('./modules/es6.string.italics');\nrequire('./modules/es6.string.link');\nrequire('./modules/es6.string.small');\nrequire('./modules/es6.string.strike');\nrequire('./modules/es6.string.sub');\nrequire('./modules/es6.string.sup');\nrequire('./modules/es6.date.now');\nrequire('./modules/es6.date.to-json');\nrequire('./modules/es6.date.to-iso-string');\nrequire('./modules/es6.date.to-string');\nrequire('./modules/es6.date.to-primitive');\nrequire('./modules/es6.array.is-array');\nrequire('./modules/es6.array.from');\nrequire('./modules/es6.array.of');\nrequire('./modules/es6.array.join');\nrequire('./modules/es6.array.slice');\nrequire('./modules/es6.array.sort');\nrequire('./modules/es6.array.for-each');\nrequire('./modules/es6.array.map');\nrequire('./modules/es6.array.filter');\nrequire('./modules/es6.array.some');\nrequire('./modules/es6.array.every');\nrequire('./modules/es6.array.reduce');\nrequire('./modules/es6.array.reduce-right');\nrequire('./modules/es6.array.index-of');\nrequire('./modules/es6.array.last-index-of');\nrequire('./modules/es6.array.copy-within');\nrequire('./modules/es6.array.fill');\nrequire('./modules/es6.array.find');\nrequire('./modules/es6.array.find-index');\nrequire('./modules/es6.array.species');\nrequire('./modules/es6.array.iterator');\nrequire('./modules/es6.regexp.constructor');\nrequire('./modules/es6.regexp.exec');\nrequire('./modules/es6.regexp.to-string');\nrequire('./modules/es6.regexp.flags');\nrequire('./modules/es6.regexp.match');\nrequire('./modules/es6.regexp.replace');\nrequire('./modules/es6.regexp.search');\nrequire('./modules/es6.regexp.split');\nrequire('./modules/es6.promise');\nrequire('./modules/es6.map');\nrequire('./modules/es6.set');\nrequire('./modules/es6.weak-map');\nrequire('./modules/es6.weak-set');\nrequire('./modules/es6.typed.array-buffer');\nrequire('./modules/es6.typed.data-view');\nrequire('./modules/es6.typed.int8-array');\nrequire('./modules/es6.typed.uint8-array');\nrequire('./modules/es6.typed.uint8-clamped-array');\nrequire('./modules/es6.typed.int16-array');\nrequire('./modules/es6.typed.uint16-array');\nrequire('./modules/es6.typed.int32-array');\nrequire('./modules/es6.typed.uint32-array');\nrequire('./modules/es6.typed.float32-array');\nrequire('./modules/es6.typed.float64-array');\nrequire('./modules/es6.reflect.apply');\nrequire('./modules/es6.reflect.construct');\nrequire('./modules/es6.reflect.define-property');\nrequire('./modules/es6.reflect.delete-property');\nrequire('./modules/es6.reflect.enumerate');\nrequire('./modules/es6.reflect.get');\nrequire('./modules/es6.reflect.get-own-property-descriptor');\nrequire('./modules/es6.reflect.get-prototype-of');\nrequire('./modules/es6.reflect.has');\nrequire('./modules/es6.reflect.is-extensible');\nrequire('./modules/es6.reflect.own-keys');\nrequire('./modules/es6.reflect.prevent-extensions');\nrequire('./modules/es6.reflect.set');\nrequire('./modules/es6.reflect.set-prototype-of');\nrequire('./modules/es7.array.includes');\nrequire('./modules/es7.array.flat-map');\nrequire('./modules/es7.array.flatten');\nrequire('./modules/es7.string.at');\nrequire('./modules/es7.string.pad-start');\nrequire('./modules/es7.string.pad-end');\nrequire('./modules/es7.string.trim-left');\nrequire('./modules/es7.string.trim-right');\nrequire('./modules/es7.string.match-all');\nrequire('./modules/es7.symbol.async-iterator');\nrequire('./modules/es7.symbol.observable');\nrequire('./modules/es7.object.get-own-property-descriptors');\nrequire('./modules/es7.object.values');\nrequire('./modules/es7.object.entries');\nrequire('./modules/es7.object.define-getter');\nrequire('./modules/es7.object.define-setter');\nrequire('./modules/es7.object.lookup-getter');\nrequire('./modules/es7.object.lookup-setter');\nrequire('./modules/es7.map.to-json');\nrequire('./modules/es7.set.to-json');\nrequire('./modules/es7.map.of');\nrequire('./modules/es7.set.of');\nrequire('./modules/es7.weak-map.of');\nrequire('./modules/es7.weak-set.of');\nrequire('./modules/es7.map.from');\nrequire('./modules/es7.set.from');\nrequire('./modules/es7.weak-map.from');\nrequire('./modules/es7.weak-set.from');\nrequire('./modules/es7.global');\nrequire('./modules/es7.system.global');\nrequire('./modules/es7.error.is-error');\nrequire('./modules/es7.math.clamp');\nrequire('./modules/es7.math.deg-per-rad');\nrequire('./modules/es7.math.degrees');\nrequire('./modules/es7.math.fscale');\nrequire('./modules/es7.math.iaddh');\nrequire('./modules/es7.math.isubh');\nrequire('./modules/es7.math.imulh');\nrequire('./modules/es7.math.rad-per-deg');\nrequire('./modules/es7.math.radians');\nrequire('./modules/es7.math.scale');\nrequire('./modules/es7.math.umulh');\nrequire('./modules/es7.math.signbit');\nrequire('./modules/es7.promise.finally');\nrequire('./modules/es7.promise.try');\nrequire('./modules/es7.reflect.define-metadata');\nrequire('./modules/es7.reflect.delete-metadata');\nrequire('./modules/es7.reflect.get-metadata');\nrequire('./modules/es7.reflect.get-metadata-keys');\nrequire('./modules/es7.reflect.get-own-metadata');\nrequire('./modules/es7.reflect.get-own-metadata-keys');\nrequire('./modules/es7.reflect.has-metadata');\nrequire('./modules/es7.reflect.has-own-metadata');\nrequire('./modules/es7.reflect.metadata');\nrequire('./modules/es7.asap');\nrequire('./modules/es7.observable');\nrequire('./modules/web.timers');\nrequire('./modules/web.immediate');\nrequire('./modules/web.dom.iterable');\nmodule.exports = require('./modules/_core');\n","\"use strict\";\n\nrequire(\"core-js/shim\");\n\nrequire(\"regenerator-runtime/runtime\");\n\nrequire(\"core-js/fn/regexp/escape\");\n\nif (global._babelPolyfill) {\n  throw new Error(\"only one instance of babel-polyfill is allowed\");\n}\nglobal._babelPolyfill = true;\n\nvar DEFINE_PROPERTY = \"defineProperty\";\nfunction define(O, key, value) {\n  O[key] || Object[DEFINE_PROPERTY](O, key, {\n    writable: true,\n    configurable: true,\n    value: value\n  });\n}\n\ndefine(String.prototype, \"padLeft\", \"\".padStart);\ndefine(String.prototype, \"padRight\", \"\".padEnd);\n\n\"pop,reverse,shift,keys,values,entries,indexOf,every,some,forEach,map,filter,find,findIndex,includes,join,slice,concat,push,splice,unshift,sort,lastIndexOf,reduce,reduceRight,copyWithin,fill\".split(\",\").forEach(function (key) {\n  [][key] && define(Array, key, Function.call.bind([][key]));\n});"],"sourceRoot":""}
\ No newline at end of file
diff --git a/karma.conf.js b/karma.conf.js
index f29f87471..c26341818 100644
--- a/karma.conf.js
+++ b/karma.conf.js
@@ -45,7 +45,7 @@ module.exports = (config) => {
     },
     browserStack: {
       username: process.env.BROWSERSTACK_USERNAME,
-      accessKey: process.env.BROWSERSTACK_ACCESS_KEY
+      accessKey: process.env.BROWSERSTACK_ACCESS_KEY,
     },
     captureTimeout: 120000,
     reportSlowerThan: 500,
@@ -56,7 +56,7 @@ module.exports = (config) => {
         browser: 'chrome',
         browser_version: 'latest',
         os: 'OS X',
-        os_version: 'High Sierra'
+        os_version: 'High Sierra',
       },
     },
     reporters: ['mocha'],
@@ -66,6 +66,6 @@ module.exports = (config) => {
     autoWatch: true,
     browsers: ['Chrome'],
     singleRun: false,
-    concurrency: Infinity
+    concurrency: Infinity,
   });
 };
diff --git a/package-lock.json b/package-lock.json
index dfe8c3606..75911ae08 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,16794 +1,16848 @@
-{
-  "name": "ml5",
-  "version": "0.2.1",
-  "lockfileVersion": 1,
-  "requires": true,
-  "dependencies": {
-    "@magenta/sketch": {
-      "version": "0.1.4",
-      "resolved": "https://registry.npmjs.org/@magenta/sketch/-/sketch-0.1.4.tgz",
-      "integrity": "sha512-4xMQ3Rual//L6pRxR1ajhIgNctya3pKWaRpPAFa7gNL8d2lnYW+tThW7jbxlaCXo5iW5ugGaYFcvPsTe3sJerQ==",
-      "requires": {
-        "@tensorflow/tfjs": "^0.13.3"
-      },
-      "dependencies": {
-        "@tensorflow/tfjs": {
-          "version": "0.13.5",
-          "resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-0.13.5.tgz",
-          "integrity": "sha512-a0sbY2IShg+hAD+Es8fy1Ey/afoks4fxSi+PVSZc1st51brCnO3qBbqwDDctRNwx/EOfAroS8IWIKgaWTpsflg==",
-          "requires": {
-            "@tensorflow/tfjs-converter": "0.6.7",
-            "@tensorflow/tfjs-core": "0.13.11",
-            "@tensorflow/tfjs-layers": "0.8.5"
-          }
-        }
-      }
-    },
-    "@mrmlnc/readdir-enhanced": {
-      "version": "2.2.1",
-      "resolved": "https://registry.npmjs.org/@mrmlnc/readdir-enhanced/-/readdir-enhanced-2.2.1.tgz",
-      "integrity": "sha512-bPHp6Ji8b41szTOcaP63VlnbbO5Ny6dwAATtY6JTjh5N2OLrb5Qk/Th5cRkRQhkWCt+EJsYrNB0MiL+Gpn6e3g==",
-      "dev": true,
-      "requires": {
-        "call-me-maybe": "^1.0.1",
-        "glob-to-regexp": "^0.3.0"
-      }
-    },
-    "@nodelib/fs.stat": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-1.1.3.tgz",
-      "integrity": "sha512-shAmDyaQC4H92APFoIaVDHCx5bStIocgvbwQyxPRrbUY20V1EYTbSDchWbuwlMG3V17cprZhA6+78JfB+3DTPw==",
-      "dev": true
-    },
-    "@octokit/rest": {
-      "version": "15.18.1",
-      "resolved": "https://registry.npmjs.org/@octokit/rest/-/rest-15.18.1.tgz",
-      "integrity": "sha512-g2tecjp2TEtYV8bKAFvfQtu+W29HM7ektmWmw8zrMy9/XCKDEYRErR2YvvhN9+IxkLC4O3lDqYP4b6WgsL6Utw==",
-      "dev": true,
-      "requires": {
-        "before-after-hook": "^1.1.0",
-        "btoa-lite": "^1.0.0",
-        "debug": "^3.1.0",
-        "http-proxy-agent": "^2.1.0",
-        "https-proxy-agent": "^2.2.0",
-        "lodash": "^4.17.4",
-        "node-fetch": "^2.1.1",
-        "universal-user-agent": "^2.0.0",
-        "url-template": "^2.0.8"
-      },
-      "dependencies": {
-        "debug": {
-          "version": "3.2.6",
-          "resolved": "https://registry.npmjs.org/debug/-/debug-3.2.6.tgz",
-          "integrity": "sha512-mel+jf7nrtEl5Pn1Qx46zARXKDpBbvzezse7p7LqINmdoIk8PYP5SySaxEmYv6TZ0JyEKA1hsCId6DIhgITtWQ==",
-          "dev": true,
-          "requires": {
-            "ms": "^2.1.1"
-          }
-        },
-        "ms": {
-          "version": "2.1.1",
-          "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.1.tgz",
-          "integrity": "sha512-tgp+dl5cGk28utYktBsrFqA7HKgrhgPsg6Z/EfhWI4gl1Hwq8B/GmY/0oXZ6nF8hDVesS/FpnYaD/kOWhYQvyg==",
-          "dev": true
-        }
-      }
-    },
-    "@protobufjs/aspromise": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@protobufjs/aspromise/-/aspromise-1.1.2.tgz",
-      "integrity": "sha1-m4sMxmPWaafY9vXQiToU00jzD78="
-    },
-    "@protobufjs/base64": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@protobufjs/base64/-/base64-1.1.2.tgz",
-      "integrity": "sha512-AZkcAA5vnN/v4PDqKyMR5lx7hZttPDgClv83E//FMNhR2TMcLUhfRUBHCmSl0oi9zMgDDqRUJkSxO3wm85+XLg=="
-    },
-    "@protobufjs/codegen": {
-      "version": "2.0.4",
-      "resolved": "https://registry.npmjs.org/@protobufjs/codegen/-/codegen-2.0.4.tgz",
-      "integrity": "sha512-YyFaikqM5sH0ziFZCN3xDC7zeGaB/d0IUb9CATugHWbd1FRFwWwt4ld4OYMPWu5a3Xe01mGAULCdqhMlPl29Jg=="
-    },
-    "@protobufjs/eventemitter": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@protobufjs/eventemitter/-/eventemitter-1.1.0.tgz",
-      "integrity": "sha1-NVy8mLr61ZePntCV85diHx0Ga3A="
-    },
-    "@protobufjs/fetch": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@protobufjs/fetch/-/fetch-1.1.0.tgz",
-      "integrity": "sha1-upn7WYYUr2VwDBYZ/wbUVLDYTEU=",
-      "requires": {
-        "@protobufjs/aspromise": "^1.1.1",
-        "@protobufjs/inquire": "^1.1.0"
-      }
-    },
-    "@protobufjs/float": {
-      "version": "1.0.2",
-      "resolved": "https://registry.npmjs.org/@protobufjs/float/-/float-1.0.2.tgz",
-      "integrity": "sha1-Xp4avctz/Ap8uLKR33jIy9l7h9E="
-    },
-    "@protobufjs/inquire": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@protobufjs/inquire/-/inquire-1.1.0.tgz",
-      "integrity": "sha1-/yAOPnzyQp4tyvwRQIKOjMY48Ik="
-    },
-    "@protobufjs/path": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@protobufjs/path/-/path-1.1.2.tgz",
-      "integrity": "sha1-bMKyDFya1q0NzP0hynZz2Nf79o0="
-    },
-    "@protobufjs/pool": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@protobufjs/pool/-/pool-1.1.0.tgz",
-      "integrity": "sha1-Cf0V8tbTq/qbZbw2ZQbWrXhG/1Q="
-    },
-    "@protobufjs/utf8": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/@protobufjs/utf8/-/utf8-1.1.0.tgz",
-      "integrity": "sha1-p3c2C1s5oaLlEG+OhY8v0tBgxXA="
-    },
-    "@semantic-release/commit-analyzer": {
-      "version": "5.1.0",
-      "resolved": "https://registry.npmjs.org/@semantic-release/commit-analyzer/-/commit-analyzer-5.1.0.tgz",
-      "integrity": "sha512-YS4b2DkazI0/k/DyfjaOPCgv9epvVIle2eZv0hfU/wpVwJFTlIFHcLvylJ7m73aM8e4+F1XJwsy3XZ1RxKqi7Q==",
-      "dev": true,
-      "requires": {
-        "conventional-changelog-angular": "^5.0.0",
-        "conventional-commits-filter": "^2.0.0",
-        "conventional-commits-parser": "^3.0.0",
-        "debug": "^3.1.0",
-        "import-from": "^2.1.0",
-        "lodash": "^4.17.4"
-      },
-      "dependencies": {
-        "debug": {
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+      "dev": true,
+      "requires": {
+        "async": "^2.0.0",
+        "chalk": "^1.0.0",
+        "cli-table": "^0.3.1",
+        "cross-spawn": "^5.0.1",
+        "dargs": "^5.1.0",
+        "dateformat": "^2.0.0",
+        "debug": "^2.1.0",
+        "detect-conflict": "^1.0.0",
+        "error": "^7.0.2",
+        "find-up": "^2.1.0",
+        "github-username": "^4.0.0",
+        "istextorbinary": "^2.1.0",
+        "lodash": "^4.11.1",
+        "mem-fs-editor": "^3.0.0",
+        "minimist": "^1.2.0",
+        "mkdirp": "^0.5.0",
+        "pretty-bytes": "^4.0.2",
+        "read-chunk": "^2.0.0",
+        "read-pkg-up": "^2.0.0",
+        "rimraf": "^2.2.0",
+        "run-async": "^2.0.0",
+        "shelljs": "^0.7.0",
+        "text-table": "^0.2.0",
+        "through2": "^2.0.0",
+        "yeoman-environment": "^1.1.0"
+      },
+      "dependencies": {
+        "dateformat": {
+          "version": "2.2.0",
+          "resolved": "https://registry.npmjs.org/dateformat/-/dateformat-2.2.0.tgz",
+          "integrity": "sha1-QGXiATz5+5Ft39gu+1Bq1MZ2kGI=",
+          "dev": true
+        },
+        "diff": {
+          "version": "2.2.3",
+          "resolved": "https://registry.npmjs.org/diff/-/diff-2.2.3.tgz",
+          "integrity": "sha1-YOr9DSjukG5Oj/ClLBIpUhAzv5k=",
+          "dev": true
+        },
+        "glob": {
+          "version": "6.0.4",
+          "resolved": "https://registry.npmjs.org/glob/-/glob-6.0.4.tgz",
+          "integrity": "sha1-DwiGD2oVUSey+t1PnOJLGqtuTSI=",
+          "dev": true,
+          "requires": {
+            "inflight": "^1.0.4",
+            "inherits": "2",
+            "minimatch": "2 || 3",
+            "once": "^1.3.0",
+            "path-is-absolute": "^1.0.0"
+          }
+        },
+        "globby": {
+          "version": "4.1.0",
+          "resolved": "https://registry.npmjs.org/globby/-/globby-4.1.0.tgz",
+          "integrity": "sha1-CA9UVJ7BuCpsYOYx/ILhIR2+lfg=",
+          "dev": true,
+          "requires": {
+            "array-union": "^1.0.1",
+            "arrify": "^1.0.0",
+            "glob": "^6.0.1",
+            "object-assign": "^4.0.1",
+            "pify": "^2.0.0",
+            "pinkie-promise": "^2.0.0"
+          }
+        },
+        "log-symbols": {
+          "version": "1.0.2",
+          "resolved": "https://registry.npmjs.org/log-symbols/-/log-symbols-1.0.2.tgz",
+          "integrity": "sha1-N2/3tY6jCGoPCfrMdGF+ylAeGhg=",
+          "dev": true,
+          "requires": {
+            "chalk": "^1.0.0"
+          }
+        },
+        "minimist": {
+          "version": "1.2.0",
+          "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.0.tgz",
+          "integrity": "sha1-o1AIsg9BOD7sH7kU9M1d95omQoQ=",
+          "dev": true
+        },
+        "pify": {
+          "version": "2.3.0",
+          "resolved": "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz",
+          "integrity": "sha1-7RQaasBDqEnqWISY59yosVMw6Qw=",
+          "dev": true
+        },
+        "untildify": {
+          "version": "2.1.0",
+          "resolved": "https://registry.npmjs.org/untildify/-/untildify-2.1.0.tgz",
+          "integrity": "sha1-F+soB5h/dpUunASF/DEdBqgmouA=",
+          "dev": true,
+          "requires": {
+            "os-homedir": "^1.0.0"
+          }
+        },
+        "yeoman-environment": {
+          "version": "1.6.6",
+          "resolved": "https://registry.npmjs.org/yeoman-environment/-/yeoman-environment-1.6.6.tgz",
+          "integrity": "sha1-zYX6Z9FWBg5EDXgH1+988NLR1nE=",
+          "dev": true,
+          "requires": {
+            "chalk": "^1.0.0",
+            "debug": "^2.0.0",
+            "diff": "^2.1.2",
+            "escape-string-regexp": "^1.0.2",
+            "globby": "^4.0.0",
+            "grouped-queue": "^0.3.0",
+            "inquirer": "^1.0.2",
+            "lodash": "^4.11.1",
+            "log-symbols": "^1.0.1",
+            "mem-fs": "^1.1.0",
+            "text-table": "^0.2.0",
+            "untildify": "^2.0.0"
+          }
+        }
+      }
+    }
+  }
+}
diff --git a/package.json b/package.json
index 364371670..22b9a9ef2 100644
--- a/package.json
+++ b/package.json
@@ -13,7 +13,7 @@
     "start": "webpack-dev-server --open --config webpack.dev.babel.js",
     "manual-test": "webpack-dev-server --open --config webpack.test.babel.js",
     "build": "webpack --config webpack.prod.babel.js",
-    "test": "./node_modules/karma/bin/karma start karma.conf.js",
+    "test": "karma start karma.conf.js",
     "test:single": "./node_modules/karma/bin/karma start karma.conf.js --single-run",
     "test-travis": "./scripts/test-travis.sh"
   },
@@ -41,7 +41,7 @@
     "babel-register": "6.26.0",
     "commitizen": "2.9.6",
     "cz-conventional-changelog": "2.1.0",
-    "eslint": "4.18.2",
+    "eslint": "^4.18.2",
     "eslint-config-airbnb-base": "12.1.0",
     "eslint-loader": "2.0.0",
     "eslint-plugin-import": "2.9.0",
diff --git a/src/CharRNN/index_test.js b/src/CharRNN/index_test.js
index 4e9c2b6c0..725cf925a 100644
--- a/src/CharRNN/index_test.js
+++ b/src/CharRNN/index_test.js
@@ -9,28 +9,28 @@ const RNN_MODEL_URL = 'https://raw.githubusercontent.com/ml5js/ml5-data-and-mode
 
 const RNN_MODEL_DEFAULTS = {
   cellsAmount: 2,
-  vocabSize: 223
+  vocabSize: 223,
 };
 
 const RNN_DEFAULTS = {
   seed: 'a',
   length: 20,
   temperature: 0.5,
-  stateful: false
-}
+  stateful: false,
+};
 
 const RNN_OPTIONS = {
   seed: 'the meaning of pizza is: ',
   length: 500,
-  temperature: 0.7
-}
+  temperature: 0.7,
+};
 
 describe('charRnn', () => {
   let rnn;
 
   beforeAll(async () => {
-    jasmine.DEFAULT_TIMEOUT_INTERVAL = 30000; //set extra long interval due to issues with CharRNN generation time
-    rnn  = await charRNN(RNN_MODEL_URL, undefined);
+    jasmine.DEFAULT_TIMEOUT_INTERVAL = 30000; // set extra long interval due to issues with CharRNN generation time
+    rnn = await charRNN(RNN_MODEL_URL, undefined);
   });
 
   it('instantiates an rnn with all the defaults', async () => {
@@ -47,12 +47,12 @@ describe('charRnn', () => {
   //  });
 
   describe('generate', () => {
-    it('Should generate content that follows default options if given an empty object', async() => {
+    it('Should generate content that follows default options if given an empty object', async () => {
       const result = await rnn.generate({});
       expect(result.sample.length).toBe(20);
     });
 
-    it('generates content that follows the set options', async() => {
+    it('generates content that follows the set options', async () => {
       const result = await rnn.generate(RNN_OPTIONS);
       expect(result.sample.length).toBe(500);
     });
diff --git a/src/ImageClassifier/index.js b/src/ImageClassifier/index.js
index 4440c779b..c6fb72a6b 100644
--- a/src/ImageClassifier/index.js
+++ b/src/ImageClassifier/index.js
@@ -143,5 +143,4 @@ const imageClassifier = (modelName, videoOrOptionsOrCallback, optionsOrCallback,
   const instance = new ImageClassifier(model, video, options, callback);
   return callback ? instance : instance.ready;
 };
-
 export default imageClassifier;
diff --git a/src/Word2vec/index_test.js b/src/Word2vec/index_test.js
index 94a62d395..52d1b21dc 100644
--- a/src/Word2vec/index_test.js
+++ b/src/Word2vec/index_test.js
@@ -58,12 +58,12 @@ describe('word2vec', () => {
           .then(word => word2vecInstance.nearest(word))
           .then((nearest) => {
             let currentDistance = 0;
-            for (let { word, distance: nextDistance } of nearest) {
+            for (const { word, distance: nextDistance } of nearest) {
               expect(typeof word).toEqual('string');
               expect(nextDistance).toBeGreaterThan(currentDistance);
               currentDistance = nextDistance;
             }
-          })
+          });
       }
     });
 
diff --git a/src/YOLO/index.js b/src/YOLO/index.js
index a6284b14b..18074b358 100644
--- a/src/YOLO/index.js
+++ b/src/YOLO/index.js
@@ -3,143 +3,484 @@
 // This software is released under the MIT License.
 // https://opensource.org/licenses/MIT
 /* eslint max-len: ["error", { "code": 180 }] */
-
-/*
-YOLO Object detection
-Heavily derived from https://github.com/ModelDepot/tfjs-yolo-tiny (ModelDepot: modeldepot.io)
-*/
+/* eslint class-methods-use-this: off */
 
 import * as tf from '@tensorflow/tfjs';
-import Video from '../utils/Video';
-import { imgToTensor } from '../utils/imageUtilities';
+import COCO_CLASSES from './../utils/COCO_CLASSES';
 import callCallback from '../utils/callcallback';
-import CLASS_NAMES from './../utils/COCO_CLASSES';
-
-import {
-  nonMaxSuppression,
-  boxesToCorners,
-  head,
-  filterBoxes,
-  ANCHORS,
-} from './postprocess';
-
-const URL = 'https://raw.githubusercontent.com/ml5js/ml5-data-and-training/master/models/YOLO/model.json';
+import draw from './utils';
 
+// this is a config for yolov2-tiny
 const DEFAULTS = {
-  filterBoxesThreshold: 0.01,
-  IOUThreshold: 0.4,
-  classProbThreshold: 0.4,
+  // Model URL
+  modelURL: 'https://raw.githubusercontent.com/ml5js/ml5-data-and-models/master/models/YOLO/model.json',
+  // Model version : this is important as there is some post processing changes 'v2' ||'v3'
+  version: 'v2',
+  // this is the size of the model input image : we can lower this to gain more performance
+  //  the ones that i found to be a good compromise between perf/accracy are 224, 256, 320
+  modelSize: 416, // 128 , 160 , 192 , 224 , 256 , 288 , 320 , 352 , 384 , 416,
+
+  // Intersection Over Union threshhold and Class probability threshold  we use this to filter the output of the neural net
+  iouThreshold: 0.5,
+  classProbThreshold: 0.5,
+
+  // class labels
+  labels: COCO_CLASSES,
+
+  // more info see  Dimension priors : https://arxiv.org/pdf/1612.08242.pdf
+  anchors: [
+    [0.57273, 0.677385],
+    [1.87446, 2.06253],
+    [3.33843, 5.47434],
+    [7.88282, 3.52778],
+    [9.77052, 9.16828],
+  ],
+  // in yolo v3  the neural net  give 2 or more outputs(set of boxes) so this mask splits the anchors to groups
+  // each corresponding to a spesific layer/output.
+  // for example  the tiny yolo v2 outputs 1 output that has 13x13x5 boxes (if you use 416 as a model size)
+  masks: [[0, 1, 2, 3, 4]],
+
+  // this is just more customization options concerning the preprocessing  pahse
+  preProcessingOptions: {
+    // 'NearestNeighbor'  - this output a more accurate image but but take a bit longer
+    // 'Bilinear' - this faster but scrifices image quality
+    ResizeOption: 'Bilinear',
+    AlignCorners: true,
+  },
 };
 
-// Size of the video
-const imageSize = 416;
-
-class YOLOBase extends Video {
+class YOLODetector {
   constructor(video, options, callback) {
-    super(video, imageSize);
+    this.video = video;
+    this.model = null;
+
+    this.modelURL = options.modelURL;
+    this.version = options.version;
+    this.modelSize = options.modelSize;
+    this.iouThreshold = options.iouThreshold;
+    this.classProbThreshold = options.classProbThreshold;
+    this.labels = options.labels;
+    this.anchors = options.anchors;
+    this.masks = options.masks;
+    this.preProcessingOptions = options.preProcessingOptions;
 
-    this.filterBoxesThreshold = options.filterBoxesThreshold || DEFAULTS.filterBoxesThreshold;
-    this.IOUThreshold = options.IOUThreshold || DEFAULTS.IOUThreshold;
-    this.classProbThreshold = options.classProbThreshold || DEFAULTS.classProbThreshold;
     this.modelReady = false;
     this.isPredicting = false;
+
+    // Load the model
     this.ready = callCallback(this.loadModel(), callback);
-    // this.then = this.ready.then;
   }
 
   async loadModel() {
-    if (this.videoElt && !this.video) {
-      this.video = await this.loadVideo();
-    }
-    this.model = await tf.loadModel(URL);
-    this.modelReady = true;
+    this.model = await tf.loadModel(this.modelURL);
     return this;
   }
+  async cache() {
+    const dummy = tf.zeros([this.modelSize, this.modelSize, 3]);
+    await this.detectInternal(dummy);
+    tf.dispose(dummy);
+  }
 
   async detect(inputOrCallback, cb) {
     await this.ready;
     let imgToPredict;
-    let callback = cb;
-
-    if (inputOrCallback instanceof HTMLImageElement || inputOrCallback instanceof HTMLVideoElement) {
-      imgToPredict = inputOrCallback;
-    } else if (typeof inputOrCallback === 'object' && (inputOrCallback.elt instanceof HTMLImageElement || inputOrCallback.elt instanceof HTMLVideoElement)) {
-      imgToPredict = inputOrCallback.elt; // Handle p5.js image and video.
-    } else if (typeof inputOrCallback === 'function') {
+    let callback;
+    if (typeof inputOrCallback === 'function') {
       imgToPredict = this.video;
       callback = inputOrCallback;
+    } else {
+      imgToPredict = inputOrCallback;
+      callback = cb;
     }
-
     return callCallback(this.detectInternal(imgToPredict), callback);
   }
 
-  async detectInternal(imgToPredict) {
-    await this.ready;
-    await tf.nextFrame();
-
-    this.isPredicting = true;
-    const [allBoxes, boxConfidence, boxClassProbs] = tf.tidy(() => {
-      const input = imgToTensor(imgToPredict, [imageSize, imageSize]);
-      const activation = this.model.predict(input);
-      const [boxXY, boxWH, bConfidence, bClassProbs] = head(activation, ANCHORS, 80);
-      const aBoxes = boxesToCorners(boxXY, boxWH);
-      return [aBoxes, bConfidence, bClassProbs];
+  /**
+   * Draw the detections on a `HTMLCanvasElement`
+   * @param detections  detections to be drawn
+   * @param canvas `HTMLCanvasElement` to draw to
+   */
+  draw(detections, canvas) {
+    const ctx = canvas.getContext('2d');
+    const lablesLen = this.labels.length;
+    draw(detections, ctx, lablesLen);
+  }
+
+  /**
+   * the main function that handles the infrence
+   * @param image the input image;
+   *
+   * @return a `Detection[]` that contains:
+   *``` javascript
+   *      {
+   *         label:string;
+   *         labelIndex:number;
+   *         score:number;
+   *         x:number;
+   *         y:number;
+   *         w:number;
+   *         h:number;
+   *       }
+   * ```
+   */
+  async detectInternal(image) {
+    const results = tf.tidy(() => {
+      const [imgWidth, imgHeight, imageTensor] = this.preProcess(image, this.modelSize, this.preProcessingOptions);
+      const preds = this.model.predict(imageTensor, { batchSize: 1 });
+      const [boxes, scores] = this.postProcessRawPrediction(preds);
+      const scaledBoxes = this.rescaleBoxes(boxes, imgWidth, imgHeight);
+      return [scaledBoxes, scores];
+    });
+    const filtered = await this.filterBoxesAsync(results[0], results[1], this.classProbThreshold);
+    tf.dispose(results);
+    const [boxArr, scoresArr, classesArr] = await Promise.all([filtered[0].data(), filtered[1].data(), filtered[2].data()]);
+    tf.dispose(filtered);
+    const rawBoxes = this.NonMaxSuppression(boxArr, scoresArr, classesArr, this.iouThreshold);
+    const detections = this.createDetectionArray(rawBoxes);
+    return detections;
+  }
+
+  // these are just synchronous version of the above methods
+  async detectSync(image) {
+    return this.detectInternalSync(image);
+  }
+  async detectInternalSync(image) {
+    return tf.tidy(() => {
+      const [imgWidth, imgHeight, imageTensor] = this.preProcess(image, this.modelSize, this.preProcessingOptions);
+      const preds = this.model.predict(imageTensor, { batchSize: 1 });
+      const [allBoxes, allScores] = this.postProcessRawPrediction(preds);
+      const scaledBoxes = this.rescaleBoxes(allBoxes, imgWidth, imgHeight);
+      const [boxes, scores, classes] = this.filterBoxes(scaledBoxes, allScores, this.classProbThreshold);
+      const boxArr = boxes.dataSync();
+      const scoresArr = scores.dataSync();
+      const classesArr = classes.dataSync();
+      tf.dispose([boxes, scores, classes]);
+      const rawBoxes = this.NonMaxSuppression(boxArr, scoresArr, classesArr, this.iouThreshold);
+      return this.createDetectionArray(rawBoxes);
     });
+  }
 
-    const [boxes, scores, classes] = await filterBoxes(allBoxes, boxConfidence, boxClassProbs, this.filterBoxesThreshold);
+  /**
+   * Performs the pre processing ops for the yolo/darknet CNN
+   *
+   * @param input can be  `HTMLCanvasElement` || `HTMLVideoElement` || `ImageData` || `HTMLImageElement` || `Tensor`;
+   * @param size model input size
+   * @param options some options regarding image resizing
+   *
+   * @return  an array the image original width and height and the preprocessed image tensor
+   *          original image Width as a `number`
+   *          original image Height as a `number`
+   *          a 4D tensor with the shape of `[1,size,size,3]`
+   */
+  preProcess(input, size, options) {
+    return tf.tidy(() => {
+      let image;
+      if (input instanceof tf.Tensor) {
+        image = input;
+      } else if (input instanceof HTMLImageElement || input instanceof HTMLVideoElement || input instanceof ImageData || input instanceof HTMLCanvasElement) {
+        image = tf.fromPixels(input);
+      } else if (typeof img === 'object' && (image.elt instanceof HTMLImageElement || image.elt instanceof HTMLVideoElement)) {
+        image = tf.fromPixels(image.elt); // Handle p5.js image and video.
+      }
+      const [imgWidth, imgHeight] = [image.shape[1], image.shape[0]];
+      // Normalize the image from [0, 255] to [0, 1].
+      const normalized = image.toFloat().div(tf.scalar(255));
+      let resized = normalized;
+      if (normalized.shape[0] !== size || normalized.shape[1] !== size) {
+        const alignCorners = options.AlignCorners;
+        if (options.ResizeOption === 'Bilinear') {
+          resized = tf.image.resizeNearestNeighbor(normalized, [size, size], alignCorners);
+        } else {
+          resized = tf.image.resizeBilinear(normalized, [size, size], alignCorners);
+        }
+      }
+      // Reshape to a single-element batch so we can pass it to predict.
+      const batched = resized.reshape([1, size, size, 3]);
+      return [imgWidth, imgHeight, batched];
+    });
+  }
+  /**
+   * the postprocessing function for the yolo object detection algorithm
+   * @param rawPrediction can be a `tf.Tensor` representing a single output (yolov2)
+   * or a `tf.Tensor[]` representing multiple outputs (yolov3 has 3 outputs ).
+   * each output has the shape of `[size, size, (numClasses+5) * numAnchors]`
+   * with the 5 representing : Box Coodinates [4] + BoxConfidence [1]
+   *
+   * @return a `tf.Tensor[]` that contain `[Boxes, Scores]`
+   * `Boxes` with a shape of `[numBoxes, 4]`
+   * Each `box` is defined by `[maxY, maxX, minY, minX]`
+   * Score with a shape of `[numBoxes, numClasses]`
+   */
+  postProcessRawPrediction(rawPrediction) {
+    const layers = [];
+    if (this.isTensorOrTensorArray(rawPrediction)) {
+      // its a single Tensor (v2)
+      layers.push(rawPrediction);
+    } else {
+      rawPrediction.forEach(layer => layers.push(layer));
+    }
+    const boxes = [];
+    const probs = [];
+    for (let i = 0; i < layers.length; i += 1) {
+      const mask = this.masks[i];
+      const numAnchors = mask.length;
+      const anchorsArr = [];
+      for (let j = 0; j < numAnchors; j += 1) {
+        anchorsArr.push(this.anchors[mask[j]]);
+      }
+      const anchorsTensor = tf.tensor(anchorsArr).reshape([1, 1, numAnchors, 2]);
+      const classesLength = this.labels.length;
+      // remove the batch dim
+      const squeezed = layers[i].squeeze([0]);
+      const [box, prob] = this.processLayer(squeezed, anchorsTensor, this.modelSize, classesLength, this.version);
+      boxes.push(box);
+      probs.push(prob);
+    }
+    const boxesTensor = tf.concat(boxes, 0);
+    const probsTensor = tf.concat(probs, 0);
+    return [boxesTensor, probsTensor];
+  }
 
-    // If all boxes have been filtered out
-    if (boxes == null) {
-      return [];
+  /**
+   * Process 1 layer of the yolo output
+   * @param prediction a `tf.Tensor` representing 1 output of  the neural net
+   * @param anchorsTensor a `tf.Tensor` representing the anchors that correspond with the output
+   * shape : `[numAnchors, 2]`
+   * @param modelSize the input size for the neural net
+   * @param classesLen the number of classes/labels that the neural net predicts
+   * @param version yolo version `v2` || `v3`
+   *
+   * @return a `tf.Tensor[]` that containes `[boxes , Scores]` that correspond to the specific layer
+   */
+  processLayer(prediction, anchorsTensor, modelSize, classesLen, version) {
+    const [outputWidth, outputHeight] = [prediction.shape[0], prediction.shape[1]];
+    const anchorsLen = anchorsTensor.shape[2];
+    const numBoxes = outputWidth * outputHeight * anchorsLen;
+    // classesLen + 5 =  classesLen + x + y + w + h + obj_score
+    const reshaped = tf.reshape(prediction, [outputWidth, outputHeight, anchorsLen, classesLen + 5]);
+    let boxxy = tf.sigmoid(reshaped.slice([0, 0, 0, 0], [outputWidth, outputHeight, anchorsLen, 2]));
+    let boxwh = tf.exp(reshaped.slice([0, 0, 0, 2], [outputWidth, outputHeight, anchorsLen, 2]));
+    const boxConfidence = tf.sigmoid(reshaped.slice([0, 0, 0, 4], [outputWidth, outputHeight, anchorsLen, 1])).reshape([numBoxes, 1]);
+    const boxClassProbs = tf.softmax(reshaped.slice([0, 0, 0, 5], [outputWidth, outputHeight, anchorsLen, classesLen])).reshape([numBoxes, classesLen]);
+    const classProbs = tf.mul(boxConfidence, boxClassProbs);
+    // prep
+    const boxIndex = tf.range(0, outputWidth);
+    const boxHeightIndex = tf.tile(boxIndex, [outputHeight]);
+    const boxWidthindex = tf.tile(tf.expandDims(boxIndex, 0), [outputWidth, 1]).transpose().flatten();
+    const boxIndexGrid = tf.transpose(tf.stack([boxHeightIndex, boxWidthindex])).reshape([outputWidth, outputHeight, 1, 2]);
+    const convDims = tf.reshape(tf.tensor1d([outputWidth, outputHeight]), [1, 1, 1, 2]);
+    // end
+    boxxy = tf.div(tf.add(boxxy, boxIndexGrid), convDims);
+    boxwh = tf.mul(boxwh, anchorsTensor);
+    if (version === 'v3') {
+      boxwh = tf.div(boxwh, tf.tensor([modelSize]));
+    } else {
+      boxwh = tf.div(boxwh, convDims);
     }
+    const boxes = this.boxesToCorners(boxxy, boxwh).reshape([numBoxes, 4]);
+    return [boxes, classProbs];
+  }
 
-    const width = tf.scalar(imageSize);
-    const height = tf.scalar(imageSize);
-    const imageDims = tf.stack([height, width, height, width]).reshape([1, 4]);
-    const boxesModified = tf.mul(boxes, imageDims);
+  /**
+   * transforms the yolo bounding box coordinates from `center` to `top left` and joins them.
+   * @param boxXY a `tf.Tensor` representing the boxes `X, Y` coordinates.
+   * @param boxWH a `tf.Tensor` representing the boxes `Width, Height` values.
+   *
+   * @returns a `tf.Tensor` representing the transformed & joined boxes coordinates
+   */
+  boxesToCorners(boxXY, boxWH) {
+    const two = tf.scalar(2);
+    const boxMins = tf.sub(boxXY, tf.div(boxWH, two));
+    const boxMaxes = tf.add(boxXY, tf.div(boxWH, two));
+    const dim0 = boxMins.shape[0];
+    const dim1 = boxMins.shape[1];
+    const dim2 = boxMins.shape[2];
+    const size = [dim0, dim1, dim2, 1];
+    return tf.concat([
+      boxMins.slice([0, 0, 0, 1], size),
+      boxMins.slice([0, 0, 0, 0], size),
+      boxMaxes.slice([0, 0, 0, 1], size),
+      boxMaxes.slice([0, 0, 0, 0], size),
+    ], 3);
+  }
 
-    const [preKeepBoxesArr, scoresArr] = await Promise.all([
-      boxesModified.data(), scores.data(),
-    ]);
+  /**
+   * rescales the boxes coordinates to the input image dimentions.
+   * @param boxes a `tf.Tensor` representing the boxes coordinates. shape : `[numBoxes,4]`
+   * @param imgWidth original input image Width.
+   * @param imgHeight  original input image Height.
+   *
+   * @return a `tf.Tensor` representing the scaled boxes coordinates.
+   */
+  rescaleBoxes(boxes, imgWidth, imgHeight) {
+    const width = tf.scalar(imgWidth);
+    const height = tf.scalar(imgHeight);
+    // this for [maxY, maxX, minY, minX]
+    const imageDims = tf.stack([height, width, height, width]).reshape([1, 4]);
+    // this for x y w h (ie when you don't use this.boxesToCorners())
+    // const ImageDims = tf.stack([Width, Height, Width, Height]).reshape([1, 4]);
+    return boxes.mul(imageDims);
+  }
 
-    const [keepIndx, boxesArr, keepScores] = nonMaxSuppression(
-      preKeepBoxesArr,
-      scoresArr,
-      this.IOUThreshold,
-    );
+  /**
+   * filters boxes synchronously by a `classProbThresh` Threshold
+   * @param boxes a 2D box `tf.Tensor` with the shape of `[numBoxes,4]`
+   * @param scores a 2D scores  `tf.Tensor`  with the shape of `[numBoxes,labelsLength]`
+   * @param classProbThresh  a number indecating the score threshold defaults to .5
+   *
+   * @return a  `tf.Tensor[]` constaining `[filtredBoxes, filtredScores, filtredClasses]`
+   *
+   * normaly this would be inside a tf.tidy
+   * so i skipped on the memory managment
+   */
+  filterBoxes(boxes, scores, classProbThresh = 0.5) {
+    const boxScore = tf.max(scores, -1);
+    const boxClasses = tf.argMax(scores, -1);
+    // score filter mask
+    const filterThresh = tf.scalar(classProbThresh);
+    const filterMask = tf.greaterEqual(boxScore, filterThresh);
+    // this is somewhat a replacment for tf.boolean_mask
+    const indicesTensor = tf.linspace(0, boxes.shape[0] - 1, boxes.shape[0]).toInt();
+    const negativeIndicesTensor = tf.fill([boxes.shape[0]], -1, 'int32');
+    const indices = tf.where(filterMask, indicesTensor, negativeIndicesTensor);
+    const filteredIndicesTensor = tf.tensor1d(indices.dataSync().filter(i => i >= 0), 'int32');
+    return [boxes.gather(filteredIndicesTensor), boxScore.gather(filteredIndicesTensor), boxClasses.gather(filteredIndicesTensor)];
+  }
 
-    const classesIndxArr = await classes.gather(tf.tensor1d(keepIndx, 'int32')).data();
+  /**
+   * filters boxes asynchronously by a `classProbThresh` Threshold
+   * @param boxes a 2D box `tf.Tensor` with the shape of `[numBoxes,4]`
+   * @param scores a 2D scores  `tf.Tensor`  with the shape of `[numBoxes,labelsLength]`
+   * @param classProbThresh  a number indecating the score threshold defaults to .5
+   *
+   * @return a  `Promise<tf.Tensor[]>` constaining `[filtredBoxes, filtredScores, filtredClasses]`
+   *
+   * this is gooing to be called outside tf.tidy so we need to do memory managment manually
+   * the input & output tensors will be clean outside so we should cleaned only the local variables
+   */
+  async filterBoxesAsync(boxes, scores, classProbThresh = 0.5) {
+    const boxScore = tf.max(scores, -1);
+    const boxClasses = tf.argMax(scores, -1);
+    // filter mask
+    const filterThresh = tf.scalar(classProbThresh);
+    const filterMask = tf.greaterEqual(boxScore, filterThresh);
+    // i think we can replace this with tf.setdiff1dAsync(x, y)
+    // https://js.tensorflow.org/api/latest/#setdiff1dAsync
+    const range = tf.linspace(0, boxes.shape[0] - 1, boxes.shape[0]);
+    const indicesTensor = range.toInt();
+    const negativeIndicesTensor = tf.fill([boxes.shape[0]], -1, 'int32');
+    const indices = tf.where(filterMask, indicesTensor, negativeIndicesTensor);
+    const filteredIndicesTensor = tf.tensor1d((await indices.data()).filter(i => i >= 0), 'int32');
+    //  END
+    const filtredBoxes = boxes.gather(filteredIndicesTensor);
+    const filtredScores = boxScore.gather(filteredIndicesTensor);
+    const filtredClasses = boxClasses.gather(filteredIndicesTensor);
+    tf.dispose([boxScore, boxClasses, filterThresh, filterMask,
+      range, indicesTensor, negativeIndicesTensor,
+      indices, filteredIndicesTensor]);
+    return [filtredBoxes, filtredScores, filtredClasses];
+  }
 
-    const results = [];
+  /**
+   * a small utility check to see if `toBeDetermined` is a `tf.Tensor` or a `tf.Tensor[]`
+   *
+   * @param  toBeDetermined `tf.Tensor` || `tf.Tensor[]`
+   *
+   * @returns a `boolean` indicating if it's a `tf.Tensor` or a `tf.Tensor[]`
+   */
+  isTensorOrTensorArray(toBeDetermined) {
+    if (toBeDetermined.shape) {
+      return true;
+    }
+    return false;
+  }
 
-    classesIndxArr.forEach((classIndx, i) => {
-      const classProb = keepScores[i];
-      if (classProb < this.classProbThreshold) {
-        return;
+  /**
+   * Implements Non-max Suppression
+   *
+   * @param boxArr an array containing the boxes coords:Length must be `numBoxes*4`
+   * @param scoreArr an array  containing the boxes scores probability:Length must be `numBoxes`
+   * @param classesArr an array  containing the detection label index:Length must be `numBoxes`
+   * @param iou_thresh  Non-max Suppression Threshold
+   *
+   * @return RawDetection
+   */
+  NonMaxSuppression(boxArr, scoreArr, classesArr, iouThresh = 0.5) {
+    const zipped = [];
+    for (let i = 0; i < scoreArr.length; i += 1) {
+      zipped.push([
+        [boxArr[4 * i], boxArr[(4 * i) + 1], boxArr[(4 * i) + 2], boxArr[(4 * i) + 3]],
+        scoreArr[i],
+        classesArr[i],
+      ]);
+    }
+    // Sort by descending order of scores (first index of zipped array)
+    const sorted = zipped.sort((a, b) => b[1] - a[1]);
+    const out = [];
+    // Greedily go through boxes in descending score order and only
+    // return boxes that are below the IoU threshold.
+    for (let i = 0; i < sorted.length; i += 1) {
+      let push = true;
+      for (let j = 0; j < out.length; j += 1) {
+        const IOU = this.iou(out[j][0], sorted[i][0]);
+        if (IOU > iouThresh) {
+          push = false;
+          break;
+        }
+      }
+      if (push) {
+        out.push(sorted[i]);
       }
+    }
+    return out;
+  }
 
-      const className = CLASS_NAMES[classIndx];
-      let [y, x, h, w] = boxesArr[i];
-
-      y = Math.max(0, y);
-      x = Math.max(0, x);
-      h = Math.min(imageSize, h) - y;
-      w = Math.min(imageSize, w) - x;
-
-      const resultObj = {
-        className,
-        classProb,
-        x: x / imageSize,
-        y: y / imageSize,
-        w: w / imageSize,
-        h: h / imageSize,
+  /**
+   * Implement the intersection over union (IoU) between box1 and box2
+   *
+   * @param box1 -- first box, number list with coordinates `(x1, y1, x2, y2)`
+   * @param box2 -- second box, number list with coordinates `(x1, y1, x2, y2)`
+   *
+   * @return the value of `interarea` /  `unionarea`
+   */
+  iou(box1, box2) {
+    // Calculate the (y1, x1, y2, x2) coordinates of the intersection of box1 and box2. Calculate its Area.
+    const xi1 = Math.max(box1[0], box2[0]);
+    const yi1 = Math.max(box1[1], box2[1]);
+    const xi2 = Math.min(box1[2], box2[2]);
+    const yi2 = Math.min(box1[3], box2[3]);
+    const interarea = (yi2 - yi1) * (xi2 - xi1);
+    // Calculate the Union area by using Formula: Union(A,B) = A + B - Inter(A,B)
+    const box1area = (box1[2] - box1[0]) * (box1[3] - box1[1]);
+    const box2area = (box2[2] - box2[0]) * (box2[3] - box2[1]);
+    const unionarea = (box1area + box2area) - interarea;
+    // compute the IoU
+    return interarea / unionarea;
+  }
+  /**
+   * The final phase in the post processing that outputs the final `Detection[]`
+   *
+   * @param finalBoxes an array containing the raw box information
+   *
+   * @return a `Detection[]` with the final collected boxes
+   */
+  createDetectionArray(finalBoxes) {
+    const detections = [];
+    for (let i = 0; i < finalBoxes.length; i += 1) {
+      const [maxY, maxX, minY, minX] = finalBoxes[i][0];
+      const classIndex = finalBoxes[i][2];
+      const detection = {
+        labelIndex: classIndex,
+        label: this.labels[classIndex],
+        score: finalBoxes[i][1],
+        x: maxX,
+        y: maxY,
+        w: minX - maxX,
+        h: minY - maxY,
       };
-
-      results.push(resultObj);
-    });
-
-    this.isPredicting = false;
-    return results;
+      detections.push(detection);
+    }
+    return detections;
   }
 }
 
@@ -164,7 +505,13 @@ const YOLO = (videoOr, optionsOr, cb) => {
     callback = optionsOr;
   }
 
-  return new YOLOBase(video, options, callback);
+  options = {
+    ...DEFAULTS,
+    ...options,
+  };
+
+
+  return new YOLODetector(video, options, callback);
 };
 
 export default YOLO;
diff --git a/src/YOLO/index_test.js b/src/YOLO/index_test.js
index 4c979172a..379b4bb4a 100644
--- a/src/YOLO/index_test.js
+++ b/src/YOLO/index_test.js
@@ -6,10 +6,9 @@
 const { YOLO } = ml5;
 
 const YOLO_DEFAULTS = {
-  IOUThreshold: 0.4,
+  iouThreshold: 0.4,
   classProbThreshold: 0.4,
-  filterBoxesThreshold: 0.01,
-  size: 416,
+  modelSize: 416,
 };
 
 describe('YOLO', () => {
@@ -31,13 +30,12 @@ describe('YOLO', () => {
   it('instantiates the YOLO classifier with defaults', () => {
     expect(yolo.IOUThreshold).toBe(YOLO_DEFAULTS.IOUThreshold);
     expect(yolo.classProbThreshold).toBe(YOLO_DEFAULTS.classProbThreshold);
-    expect(yolo.filterBoxesThreshold).toBe(YOLO_DEFAULTS.filterBoxesThreshold);
-    expect(yolo.size).toBe(YOLO_DEFAULTS.size);
+    expect(yolo.modelSize).toBe(YOLO_DEFAULTS.modelSize);
   });
 
   it('detects a robin', async () => {
     const robin = await getRobin();
-    const detection = await yolo.detect(robin);
-    expect(detection[0].className).toBe('bird');
+    await yolo.detect(robin)
+      .then(detection => expect(detection[0].label).toBe('bird'));
   });
 });
diff --git a/src/YOLO/postprocess.js b/src/YOLO/postprocess.js
deleted file mode 100644
index eb60f03b3..000000000
--- a/src/YOLO/postprocess.js
+++ /dev/null
@@ -1,153 +0,0 @@
-// Copyright (c) 2018 ml5
-//
-// This software is released under the MIT License.
-// https://opensource.org/licenses/MIT
-
-// Heavily derived from YAD2K (https://github.com/allanzelener/YAD2K)
-/* eslint max-len: ["error", { "code": 180 }] */
-
-import * as tf from '@tensorflow/tfjs';
-
-export const ANCHORS = tf.tensor2d([
-  [0.57273, 0.677385], [1.87446, 2.06253], [3.33843, 5.47434],
-  [7.88282, 3.52778], [9.77052, 9.16828],
-]);
-
-export const boxIntersection = (a, b) => {
-  const w = Math.min(a[3], b[3]) - Math.max(a[1], b[1]);
-  const h = Math.min(a[2], b[2]) - Math.max(a[0], b[0]);
-  if (w < 0 || h < 0) {
-    return 0;
-  }
-  return w * h;
-};
-
-export const boxUnion = (a, b) => {
-  const i = boxIntersection(a, b);
-  return (((a[3] - a[1]) * (a[2] - a[0])) + ((b[3] - b[1]) * (b[2] - b[0]))) - i;
-};
-
-export const boxIOU = (a, b) => boxIntersection(a, b) / boxUnion(a, b);
-
-export async function filterBoxes(
-  boxes,
-  boxConfidence,
-  boxClassProbs,
-  threshold,
-) {
-  const boxScores = tf.mul(boxConfidence, boxClassProbs);
-  const boxClasses = tf.argMax(boxScores, -1);
-  const boxClassScores = tf.max(boxScores, -1);
-
-  const predictionMask = tf.greaterEqual(boxClassScores, tf.scalar(threshold));
-
-  const maskArr = await predictionMask.data();
-
-  const indicesArr = [];
-  for (let i = 0; i < maskArr.length; i += 1) {
-    const v = maskArr[i];
-    if (v) {
-      indicesArr.push(i);
-    }
-  }
-
-  if (indicesArr.length === 0) {
-    return [null, null, null];
-  }
-
-  const indices = tf.tensor1d(indicesArr, 'int32');
-
-  return [
-    tf.gather(boxes.reshape([maskArr.length, 4]), indices),
-    tf.gather(boxClassScores.flatten(), indices),
-    tf.gather(boxClasses.flatten(), indices),
-  ];
-}
-
-export const boxesToCorners = (boxXY, boxWH) => {
-  const two = tf.tensor1d([2.0]);
-  const boxMins = tf.sub(boxXY, tf.div(boxWH, two));
-  const boxMaxes = tf.add(boxXY, tf.div(boxWH, two));
-
-  const dim0 = boxMins.shape[0];
-  const dim1 = boxMins.shape[1];
-  const dim2 = boxMins.shape[2];
-  const size = [dim0, dim1, dim2, 1];
-
-  return tf.concat([
-    boxMins.slice([0, 0, 0, 1], size),
-    boxMins.slice([0, 0, 0, 0], size),
-    boxMaxes.slice([0, 0, 0, 1], size),
-    boxMaxes.slice([0, 0, 0, 0], size),
-  ], 3);
-};
-
-export const nonMaxSuppression = (boxes, scores, iouThreshold) => {
-  // Zip together scores, box corners, and index
-  const zipped = [];
-  for (let i = 0; i < scores.length; i += 1) {
-    zipped.push([
-      scores[i], [boxes[4 * i], boxes[(4 * i) + 1], boxes[(4 * i) + 2], boxes[(4 * i) + 3]], i,
-    ]);
-  }
-  const sortedBoxes = zipped.sort((a, b) => b[0] - a[0]);
-  const selectedBoxes = [];
-
-  sortedBoxes.forEach((box) => {
-    let add = true;
-    for (let i = 0; i < selectedBoxes.length; i += 1) {
-      const curIOU = boxIOU(box[1], selectedBoxes[i][1]);
-      if (curIOU > iouThreshold) {
-        add = false;
-        break;
-      }
-    }
-    if (add) {
-      selectedBoxes.push(box);
-    }
-  });
-
-  return [
-    selectedBoxes.map(e => e[2]),
-    selectedBoxes.map(e => e[1]),
-    selectedBoxes.map(e => e[0]),
-  ];
-};
-
-// Convert yolo output to bounding box + prob tensors
-/* eslint no-param-reassign: 0 */
-export function head(feats, anchors, numClasses) {
-  const numAnchors = anchors.shape[0];
-
-  const anchorsTensor = tf.reshape(anchors, [1, 1, numAnchors, 2]);
-
-  let convDims = feats.shape.slice(1, 3);
-
-  // For later use
-  const convDims0 = convDims[0];
-  const convDims1 = convDims[1];
-
-  let convHeightIndex = tf.range(0, convDims[0]);
-  let convWidthIndex = tf.range(0, convDims[1]);
-  convHeightIndex = tf.tile(convHeightIndex, [convDims[1]]);
-
-  convWidthIndex = tf.tile(tf.expandDims(convWidthIndex, 0), [convDims[0], 1]);
-  convWidthIndex = tf.transpose(convWidthIndex).flatten();
-
-  let convIndex = tf.transpose(tf.stack([convHeightIndex, convWidthIndex]));
-  convIndex = tf.reshape(convIndex, [convDims[0], convDims[1], 1, 2]);
-  convIndex = tf.cast(convIndex, feats.dtype);
-
-  feats = tf.reshape(feats, [convDims[0], convDims[1], numAnchors, numClasses + 5]);
-  convDims = tf.cast(tf.reshape(tf.tensor1d(convDims), [1, 1, 1, 2]), feats.dtype);
-
-  let boxXY = tf.sigmoid(feats.slice([0, 0, 0, 0], [convDims0, convDims1, numAnchors, 2]));
-  let boxWH = tf.exp(feats.slice([0, 0, 0, 2], [convDims0, convDims1, numAnchors, 2]));
-  const boxConfidence = tf.sigmoid(feats.slice([0, 0, 0, 4], [convDims0, convDims1, numAnchors, 1]));
-  const boxClassProbs = tf.softmax(feats.slice([0, 0, 0, 5], [convDims0, convDims1, numAnchors, numClasses]));
-
-  boxXY = tf.div(tf.add(boxXY, convIndex), convDims);
-  boxWH = tf.div(tf.mul(boxWH, anchorsTensor), convDims);
-
-  return [boxXY, boxWH, boxConfidence, boxClassProbs];
-}
diff --git a/src/YOLO/utils.js b/src/YOLO/utils.js
new file mode 100644
index 000000000..d27b5887c
--- /dev/null
+++ b/src/YOLO/utils.js
@@ -0,0 +1,42 @@
+// Copyright (c) 2018 ml5
+//
+// This software is released under the MIT License.
+// https://opensource.org/licenses/MIT
+
+/* eslint max-len: ["error", { "code": 180 }] */
+
+function map(num, inmin, inmax) {
+  return ((num - inmin) * 360) / (inmax - inmin);
+}
+function hsl(num, min, max) {
+  return `hsla(${map(num, min, max)}, 100%, 50%,1)`;
+}
+function drawObject(item, ctx, color) {
+  const txt = `${item.label} : ${(item.score * 100).toFixed(2)}%`;
+  ctx.strokeStyle = color;
+  ctx.beginPath();
+  ctx.rect(item.x, item.y, item.w, item.h);
+  ctx.stroke();
+  ctx.fillStyle = color;
+  if (item.y - 25 >= 0) {
+    // text box on top
+    ctx.fillRect(item.x - 1.5, item.y - 1.5, 90, -15);
+    ctx.fillStyle = '#000000';
+    ctx.fillText(txt, item.x, item.y - 5);
+  } else {
+    // text box Inside
+    ctx.fillRect(item.x - 1.5, item.y - 1.5, 90, 20);
+    ctx.fillStyle = '#000000';
+    ctx.fillText(txt, item.x, item.y + 12);
+  }
+}
+function draw(detections, ctx, labelsLength) {
+  ctx.lineWidth = 1.5;
+  ctx.font = '13px Segoe UI';
+  detections.forEach((det) => {
+    const color = hsl(det.labelIndex, 0, labelsLength);
+    drawObject(det, ctx, color);
+  });
+}
+
+export default draw;
diff --git a/src/utils/random.js b/src/utils/random.js
index 10e8fb919..44b76199a 100644
--- a/src/utils/random.js
+++ b/src/utils/random.js
@@ -1,5 +1,5 @@
 // Copyright (c) 2018 ml5
-// 
+//
 // This software is released under the MIT License.
 // https://opensource.org/licenses/MIT
 
diff --git a/webpack.common.babel.js b/webpack.common.babel.js
index 54437d221..b2dc58909 100644
--- a/webpack.common.babel.js
+++ b/webpack.common.babel.js
@@ -1,5 +1,5 @@
 // Copyright (c) 2018 ml5
-// 
+//
 // This software is released under the MIT License.
 // https://opensource.org/licenses/MIT
 
@@ -30,5 +30,5 @@ export default {
         include,
       },
     ],
-  }
+  },
 };
diff --git a/webpack.dev.babel.js b/webpack.dev.babel.js
index 2d97397e5..0a3391728 100644
--- a/webpack.dev.babel.js
+++ b/webpack.dev.babel.js
@@ -1,5 +1,5 @@
 // Copyright (c) 2018 ml5
-// 
+//
 // This software is released under the MIT License.
 // https://opensource.org/licenses/MIT
 
@@ -13,11 +13,11 @@ export default merge(common, {
   devtool: 'inline-source-map',
   devServer: {
     watchContentBase: true,
-    contentBase: join(__dirname, './dist')
+    contentBase: join(__dirname, './dist'),
   },
   plugins: [
     new HtmlWebpackPlugin({
-      title: 'ml5'
-    })
-  ]
-})
+      title: 'ml5',
+    }),
+  ],
+});
diff --git a/webpack.prod.babel.js b/webpack.prod.babel.js
index d78115fa3..e352bfc4f 100644
--- a/webpack.prod.babel.js
+++ b/webpack.prod.babel.js
@@ -1,5 +1,5 @@
 // Copyright (c) 2018 ml5
-// 
+//
 // This software is released under the MIT License.
 // https://opensource.org/licenses/MIT
 
@@ -11,11 +11,11 @@ export default merge(common, {
   mode: 'production',
   devtool: 'source-map',
   output: {
-    filename: 'ml5.min.js'
+    filename: 'ml5.min.js',
   },
   plugins: [
     new UglifyJSPlugin({
-      sourceMap: true
-    })
-  ]
-})
+      sourceMap: true,
+    }),
+  ],
+});
diff --git a/webpack.test.babel.js b/webpack.test.babel.js
index 06c4b402d..cf1e407ec 100644
--- a/webpack.test.babel.js
+++ b/webpack.test.babel.js
@@ -1,5 +1,5 @@
 // Copyright (c) 2019 ml5
-// 
+//
 // This software is released under the MIT License.
 // https://opensource.org/licenses/MIT
 
@@ -17,7 +17,7 @@ import common from './webpack.common.babel';
   // create manual-test dir if not exist, or check if it is a readable dir.
   if (!existsSync(experimentsDir)) mkdirSync(experimentsDir);
   else {
-    assert(lstatSync(experimentsDir).isDirectory(), "./manual-test should be a readable folder.");
+    assert(lstatSync(experimentsDir).isDirectory(), './manual-test should be a readable folder.');
   }
 
   // create index.html in manual-test dir if not exist, or check if it is a readable file.
@@ -34,19 +34,18 @@ import common from './webpack.common.babel';
           // Your scripts would be written here
         </script>
       </body>
-      </html>`.replace(/      /g, '').trimLeft());
+      </html>`.replace(/ {6}/g, '').trimLeft());
   } else {
-    assert(lstatSync(indexFile).isFile(), "./manual-test/index.html should be a readable file.");
+    assert(lstatSync(indexFile).isFile(), './manual-test/index.html should be a readable file.');
   }
-
-})();
+}());
 
 export default merge(common, {
   mode: 'development',
   devtool: 'inline-source-map',
   devServer: {
     watchContentBase: true,
-    contentBase: [join(__dirname, './dist'), join(__dirname, './manual-test')]
+    contentBase: [join(__dirname, './dist'), join(__dirname, './manual-test')],
   },
-  plugins: []
-});
\ No newline at end of file
+  plugins: [],
+});